diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..ba0430d26c996e7f078385407f959c96c271087c
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1 @@
+__pycache__/
\ No newline at end of file
diff --git a/DOMINANT/layers.py b/DOMINANT/layers.py
new file mode 100644
index 0000000000000000000000000000000000000000..ff24bbc636608b77f479c36b161db1faeed06ed1
--- /dev/null
+++ b/DOMINANT/layers.py
@@ -0,0 +1,45 @@
+import math
+
+import torch
+
+from torch.nn.parameter import Parameter
+from torch.nn.modules.module import Module
+
+import torch.nn as nn
+import torch.nn.functional as F
+
+
+class GraphConvolution(Module):
+ """
+ Simple GCN layer, similar to https://arxiv.org/abs/1609.02907
+ """
+
+ def __init__(self, in_features, out_features, bias=True):
+ super(GraphConvolution, self).__init__()
+ self.in_features = in_features
+ self.out_features = out_features
+ self.weight = Parameter(torch.FloatTensor(in_features, out_features))
+ if bias:
+ self.bias = Parameter(torch.FloatTensor(out_features))
+ else:
+ self.register_parameter('bias', None)
+ self.reset_parameters()
+
+ def reset_parameters(self):
+ stdv = 1. / math.sqrt(self.weight.size(1))
+ self.weight.data.uniform_(-stdv, stdv)
+ if self.bias is not None:
+ self.bias.data.uniform_(-stdv, stdv)
+
+ def forward(self, input, adj):
+ support = torch.mm(input, self.weight)
+ output = torch.spmm(adj, support)
+ if self.bias is not None:
+ return output + self.bias
+ else:
+ return output
+
+ def __repr__(self):
+ return self.__class__.__name__ + ' (' \
+ + str(self.in_features) + ' -> ' \
+ + str(self.out_features) + ')'
diff --git a/DOMINANT/main.py b/DOMINANT/main.py
new file mode 100644
index 0000000000000000000000000000000000000000..0d06e90aa59193ce1b79435a9e8ec3cb732c4a88
--- /dev/null
+++ b/DOMINANT/main.py
@@ -0,0 +1,44 @@
+import os
+import pickle
+from runner import RUNNER
+import numpy as np
+import pandas as pd
+
+def load_samples(dataset):
+ features_path=os.path.join(os.getcwd(),'datasets',dataset,f'features.pkl')
+ adj_path=os.path.join(os.getcwd(),'datasets',dataset,f'adjacency.pkl')
+ labels_path=os.path.join(os.getcwd(),'datasets',dataset,f'labels.pkl')
+
+ with open(adj_path,'rb') as f:
+ adj = pickle.load(f)
+ with open(features_path,'rb') as f:
+ features = pickle.load(f)
+ with open(labels_path,'rb') as f:
+ labels= pickle.load(f)
+ return adj,features,labels
+
+
+
+if __name__ == "__main__":
+ dims = [2,5,10,20]
+ outlier_percentage = 0.1
+ lr = 0.001
+ invert = True
+ dataset = 'unsw_nb'
+ df = pd.DataFrame(None)
+ for dim in dims:
+ adj,features,labels = load_samples(dataset=dataset)
+ runner = RUNNER(adj=adj,features=features,labels=labels,lr=lr,alpha=0.5,dim=dim)
+ loss,accuracy,f1,recall,precision,roc_auc,training_time = runner.fit(outlier_percentage=outlier_percentage,invert=invert)
+ print('TRANING:',accuracy,f1,recall,precision,roc_auc,training_time)
+ loss,accuracy,f1,recall,precision,roc_auc = runner.predict(outlier_percentage=outlier_percentage,invert=invert)
+ print('TESTING:',accuracy,f1,recall,precision,roc_auc)
+ df[f'acc_{dim}'] = [round(accuracy,4)]
+ df[f'f1_{dim}'] = [round(f1,4)]
+ df[f'rec_{dim}'] = [round(recall,4)]
+ df[f'pre_{dim}'] = [round(precision,4)]
+ df[f'roc_{dim}'] = [round(roc_auc,4)]
+ df[f'tt_{dim}'] = [round(training_time,4)]
+ print(df)
+ df.to_csv(f'{dataset}_results.csv')
+
diff --git a/DOMINANT/model.py b/DOMINANT/model.py
new file mode 100644
index 0000000000000000000000000000000000000000..0f1d1142d9674eff382995bd5fde41882452e066
--- /dev/null
+++ b/DOMINANT/model.py
@@ -0,0 +1,66 @@
+import torch.nn as nn
+import torch.nn.functional as F
+import torch
+from layers import GraphConvolution
+
+class Encoder(nn.Module):
+ def __init__(self, nfeat, nhid, dropout):
+ super(Encoder, self).__init__()
+
+ self.gc1 = GraphConvolution(nfeat, nhid)
+ self.gc2 = GraphConvolution(nhid, nhid)
+ self.dropout = dropout
+
+ def forward(self, x, adj):
+ x = F.relu(self.gc1(x, adj))
+ x = F.dropout(x, self.dropout, training=self.training)
+ x = F.relu(self.gc2(x, adj))
+
+ return x
+
+class Attribute_Decoder(nn.Module):
+ def __init__(self, nfeat, nhid, dropout):
+ super(Attribute_Decoder, self).__init__()
+
+ self.gc1 = GraphConvolution(nhid, nhid)
+ self.gc2 = GraphConvolution(nhid, nfeat)
+ self.dropout = dropout
+
+ def forward(self, x, adj):
+ x = F.relu(self.gc1(x, adj))
+ x = F.dropout(x, self.dropout, training=self.training)
+ x = F.relu(self.gc2(x, adj))
+
+ return x
+
+class Structure_Decoder(nn.Module):
+ def __init__(self, nhid, dropout):
+ super(Structure_Decoder, self).__init__()
+
+ self.gc1 = GraphConvolution(nhid, nhid)
+ self.dropout = dropout
+
+ def forward(self, x, adj):
+ x = F.relu(self.gc1(x, adj))
+ x = F.dropout(x, self.dropout, training=self.training)
+ x = x @ x.T
+
+ return x
+
+class Dominant(nn.Module):
+ def __init__(self, feat_size, hidden_size, dropout):
+ super(Dominant, self).__init__()
+
+ self.shared_encoder = Encoder(feat_size, hidden_size, dropout)
+ self.attr_decoder = Attribute_Decoder(feat_size, hidden_size, dropout)
+ self.struct_decoder = Structure_Decoder(hidden_size, dropout)
+
+ def forward(self, x, adj):
+ # encode
+ x = self.shared_encoder(x, adj)
+ # decode feature matrix
+ x_hat = self.attr_decoder(x, adj)
+ # decode adjacency matrix
+ struct_reconstructed = self.struct_decoder(x, adj)
+ # return reconstructed matrices
+ return struct_reconstructed, x_hat
\ No newline at end of file
diff --git a/DOMINANT/runner.py b/DOMINANT/runner.py
new file mode 100644
index 0000000000000000000000000000000000000000..adb410ec2117070e7ac676d485081ec78ecac887
--- /dev/null
+++ b/DOMINANT/runner.py
@@ -0,0 +1,129 @@
+from scipy.sparse import data
+import torch
+import torch.nn as nn
+import numpy as np
+import scipy.sparse
+import scipy.io
+from sklearn.metrics import roc_auc_score , accuracy_score, f1_score, precision_score, recall_score
+from datetime import datetime
+import argparse
+import time
+from model import Dominant
+from utils import load_anomaly_detection_dataset
+
+class RUNNER:
+ def __init__(self,adj,features,labels,dim=20,lr=5e-3,alpha=0.5,dropout=0.1,device='cuda',epochs=50):
+ self.alpha = alpha
+ self.epochs = epochs
+ self.adj, self.attrs, self.label, self.adj_label = load_anomaly_detection_dataset(adj,features,labels)
+ self.model = Dominant(feat_size = self.attrs.size(1), hidden_size = dim, dropout = dropout)
+ if device == 'cuda':
+ device = torch.device(device)
+ self.adj = self.adj.to(device)
+ self.adj_label = self.adj_label.to(device)
+ self.attrs = self.attrs.to(device)
+ self.model = self.model.cuda()
+ self.optimizer = torch.optim.Adam(self.model.parameters(), lr = lr)
+
+
+ def loss_func(self,adj, A_hat, attrs, X_hat, alpha):
+ # select only the nodes concerned by the split
+ # X_hat = X_hat[idx] #-----
+ # attrs = attrs[idx] #-----
+ # Attribute reconstruction loss
+ diff_attribute = torch.pow(X_hat - attrs, 2)
+ attribute_reconstruction_errors = torch.sqrt(torch.sum(diff_attribute, 1))
+ attribute_cost = torch.mean(attribute_reconstruction_errors)
+
+ # remove the nodes non concerned by the split
+ # mask = torch.zeros(A_hat.size(0), dtype=bool, device='cuda') #-------
+ # mask[idx] = True #------
+ # A_hat = A_hat[mask] #------
+ # A_hat = A_hat[:,mask] #------
+ # adj = adj[mask] #-------
+ # adj = adj[:,mask] #-------
+
+ # structure reconstruction loss
+ diff_structure = torch.pow(A_hat - adj, 2)
+ structure_reconstruction_errors = torch.sqrt(torch.sum(diff_structure, 1))
+ structure_cost = torch.mean(structure_reconstruction_errors)
+ cost = alpha * attribute_reconstruction_errors + (1-alpha) * structure_reconstruction_errors
+ return cost, structure_cost, attribute_cost
+
+ def fit(self,outlier_percentage,invert=False):
+ train_losses = []
+ best_losses = []
+ start = time.time()
+ for epoch in range(self.epochs):
+ self.model.train()
+ self.optimizer.zero_grad()
+ A_hat, X_hat = self.model(self.attrs, self.adj)
+ loss, struct_loss, feat_loss = self.loss_func(self.adj_label, A_hat, self.attrs, X_hat, self.alpha)
+ l = torch.mean(loss)
+ train_losses.append(l.item())
+ if(len(best_losses) == 0):
+ best_losses.append(train_losses[0])
+ elif (best_losses[-1] > train_losses[-1]):
+ best_losses.append(train_losses[-1])
+ else:
+ best_losses.append(best_losses[-1])
+
+ l.backward()
+ self.optimizer.step()
+ print("Epoch:", '%04d' % (epoch), "train_loss=", "{:.5f}".format(l.item()), "str_loss=", "{:.5f}".format(struct_loss.item()), "feat_loss=", "{:.5f}".format(feat_loss.item()))
+ score = loss.detach().cpu().numpy()
+ sorted_indices = np.argsort(score)
+ sorted_score = np.array(score)[sorted_indices]
+ sorted_label = np.array(self.label)[sorted_indices]
+ if invert:
+ sorted_score[:int(len(sorted_score)*(1-outlier_percentage))] = 1
+ sorted_score[int(len(sorted_score)*outlier_percentage):] = 0
+ else:
+ sorted_score[:int(len(sorted_score)*(1-outlier_percentage))] = 0
+ sorted_score[int(len(sorted_score)*outlier_percentage):] = 1
+
+ acc = accuracy_score(sorted_label,sorted_score)
+ f1 = f1_score(sorted_label,sorted_score)
+ rec = recall_score(sorted_label,sorted_score)
+ pre = precision_score(sorted_label,sorted_score)
+ auc = roc_auc_score(sorted_label, sorted_score)
+ print('Acc',acc,'f1',f1,'Rec',rec,'pre',pre,'Auc',auc)
+
+ # if(self.idx_val.shape[0] >0):
+ # self.model.eval()
+ # A_hat, X_hat = self.model(self.attrs, self.adj)
+ # loss, struct_loss, feat_loss = self.loss_func(self.adj_label, A_hat, self.attrs, X_hat, self.alpha,self.idx_val)
+ # score = loss.detach().cpu().numpy()
+ # sorted_indices = np.argsort(score)
+ # sorted_score = np.array(score)[sorted_indices]
+ # sorted_label = np.array(self.label)[sorted_indices]
+ # sorted_score[:int(len(sorted_score)/2)] = 1
+ # sorted_score[int(len(sorted_score)/2):] = 0
+ # print("VALIDATION:",'Acc',accuracy_score(sorted_label,sorted_score),'f1',f1_score(sorted_label,sorted_score),'Rec',recall_score(sorted_label,sorted_score),'pre',precision_score(sorted_label,sorted_score),'Auc', roc_auc_score(sorted_label, sorted_score))
+ # print('\n')
+
+ return {'train':train_losses,'best':best_losses,'val':[]},acc,f1,rec,pre,auc,time.time() - start
+
+
+ def predict(self,outlier_percentage,invert=False):
+ self.model.eval()
+ A_hat, X_hat = self.model(self.attrs, self.adj)
+ loss, struct_loss, feat_loss = self.loss_func(self.adj_label, A_hat, self.attrs, X_hat, self.alpha)
+ score = loss.detach().cpu().numpy()
+ sorted_indices = np.argsort(score)
+ sorted_score = np.array(score)[sorted_indices]
+ sorted_label = np.array(self.label)[sorted_indices]
+ if invert:
+ sorted_score[:int(len(sorted_score)*(1-outlier_percentage))] = 1
+ sorted_score[int(len(sorted_score)*outlier_percentage):] = 0
+ else:
+ sorted_score[:int(len(sorted_score)*(1-outlier_percentage))] = 0
+ sorted_score[int(len(sorted_score)*outlier_percentage):] = 1
+ print('\n')
+ print('\n')
+ acc = accuracy_score(sorted_label,sorted_score)
+ f1 = f1_score(sorted_label,sorted_score)
+ rec = recall_score(sorted_label,sorted_score)
+ pre = precision_score(sorted_label,sorted_score)
+ auc = roc_auc_score(sorted_label, sorted_score)
+ return np.mean(score),acc,f1,rec,pre,auc
diff --git a/DOMINANT/test.py b/DOMINANT/test.py
new file mode 100644
index 0000000000000000000000000000000000000000..91aecec6b1e9cb7cee346438ae9960e715eb7e7f
--- /dev/null
+++ b/DOMINANT/test.py
@@ -0,0 +1,129 @@
+import numpy as np
+import matplotlib.pyplot as plt
+import pandas as pd
+import torch
+import os
+import math
+from runner import RUNNER
+import pickle
+
+def load_samples(dataset,r):
+ adj_path = os.path.join(os.getcwd(),'datasets',dataset,f'adjacency_{r}.pkl')
+ features_path = os.path.join(os.getcwd(),'datasets',dataset,f'features_{r}.pkl')
+ labels_path = os.path.join(os.getcwd(),'datasets',dataset,f'labels_{r}.pkl')
+ with open(adj_path,'rb') as f:
+ adj = pickle.load(f)
+ with open(features_path,'rb') as f:
+ features = pickle.load(f)
+ with open(labels_path,'rb') as f:
+ labels = pickle.load(f)
+ print('features:',features.shape,'adj',adj.shape,'labels',labels.shape)
+ return adj,features,labels
+
+def testing(NAME,TEST_PROP,EPOCHS,EMBEDDING_DIMS,REPETITIONS,DATASET):
+ statistics = {}
+ for dim in EMBEDDING_DIMS:
+ print(f'START DIM {dim} ***************************')
+ dim_statistics = []
+ for r in range(REPETITIONS):
+ torch.cuda.empty_cache()
+ adj,features,labels = load_samples(DATASET,r)
+ model = None
+ model = RUNNER(adj=adj,features=features,labels=labels,dim=dim,epochs=EPOCHS,lr=1e-3,alpha=0.95)
+ print(f"START REPETITION: {NAME} -------------------------------")
+ loss_training,acc_training,f1_training,recall_training,precision_training,roc_auc_training,training_time = model.fit()
+ loss_testing,acc_testing,f1_testing,recall_testing,precision_testing,roc_auc_testing = model.predict()
+ stats = {'train':{'loss':loss_training,'acc':acc_training,'f1':f1_training,'recall':recall_training,'precision':precision_training,'roc_auc':roc_auc_training,'time':training_time},
+ 'test':{'loss':loss_testing,'acc':acc_testing,'f1':f1_testing,'recall':recall_testing,'precision':precision_testing,'roc_auc':roc_auc_testing}}
+ dim_statistics.append(stats)
+ del model
+ statistics[f'{dim}'] = dim_statistics
+ print('THE TESTING IS OVER !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!')
+ return statistics
+
+def calculate_avg_std(stats,list_scores,etiq):
+ avgs = []
+ stds = []
+ for score in list_scores:
+ all_values = []
+ for repetition_stats in stats:
+ all_values.append(repetition_stats[etiq][score])
+ avgs.append(np.mean(all_values))
+ stds.append(np.std(all_values))
+ return avgs,stds
+
+def print_stats_per_dim(list_dim,stats,name,repetition):
+ list_scores_train = ['acc','f1','recall','precision','roc_auc','time']
+ list_scores_test = ['acc','f1','recall','precision','roc_auc']
+ df = pd.DataFrame({})
+ for i in range(len(list_dim)):
+ dim = list_dim[i]
+ dstats = stats[str(dim)]
+ print("THE STATISTICS OF THE DIMENSION {}:".format(dim))
+ print('',"TESING:","---------",sep='\n')
+ avgs,stds = calculate_avg_std(dstats,list_scores_test,'test')
+ for i in range(len(list_scores_test)):
+ print(f"{list_scores_test[i]}: avg={avgs[i]}, std={stds[i]}")
+ df[f'{dim}_{list_scores_test[i]}_avg'] = [round(avgs[i],4)]
+ df[f'{dim}_{list_scores_test[i]}_ci'] = [round(1.96*stds[i]/math.sqrt(repetition),4)]
+ df[f'{dim}_{list_scores_test[i]}_std'] = [round(stds[i],4)]
+ print('',"********************************","",sep='\n')
+ print('',"TRAINING:","---------",sep='\n')
+ avgs,stds = calculate_avg_std(dstats,list_scores_train,'train')
+ for i in range(len(list_scores_train)):
+ print(f"{list_scores_train[i]}: avg={avgs[i]}, std={stds[i]}")
+ df[f'{dim}_{list_scores_train[-1]}_avg'] = [round(avgs[-1],4)]
+ df[f'{dim}_{list_scores_train[-1]}_ci'] = [round(1.96*stds[-1]/math.sqrt(repetition),4)]
+ df[f'{dim}_{list_scores_train[-1]}_std'] = [round(stds[-1],4)]
+
+ path = os.path.join(os.getcwd(),'results',name,f'{name}_statistics.csv')
+ df.to_csv(path, index=False)
+
+
+def plot_dim_loss(dim,stats,epochs,name,etiq):
+ x = range(epochs)
+ for i in range(len(stats)):
+ y_real = stats[i]['train']['loss'][etiq]
+ plt.plot(x, y_real,label=f'rep {i}')
+ plt.xlabel('epochs')
+ plt.ylabel('loss')
+ plt.legend()
+ path = os.path.join(os.getcwd(),'results',name,f'{name}_{dim}_{etiq}.png')
+ plt.savefig(path)
+ plt.close()
+
+def plot_dim_loss_train_val(dim,stats,epochs,name,etiq):
+ x = range(epochs)
+ y_real = stats[-1]['train']['loss'][etiq]
+ y_val = stats[-1]['train']['loss']['val']
+ plt.plot(x, y_real,label=f'train')
+ plt.plot(x, y_val,label=f'val')
+ plt.xlabel('epochs')
+ plt.ylabel('loss')
+ plt.legend()
+ path = os.path.join(os.getcwd(),'results',name,f'{name}_{dim}_{etiq}_val_train.png')
+ plt.savefig(path)
+ plt.close()
+
+def plot_loss(statistics,name,dims,epochs):
+ for dim in dims:
+ plot_dim_loss(dim,statistics[str(dim)],epochs,name,'train')
+ plot_dim_loss(dim,statistics[str(dim)],epochs,name,'best')
+ # plot_dim_loss_train_val(dim,statistics[str(dim)],epochs,name,'train')
+ # plot_dim_loss_train_val(dim,statistics[str(dim)],epochs,name,'best')
+
+
+
+def do_it():
+ EPOCHS = 50
+ REPETITIONS = 5
+ TEST_PROP = .3
+ EMBEDDING_DIMS= [2,5,10,20]
+ NAME = 'DOMINANT'
+ DATASET = 'ton_iot'
+ statistics = testing(NAME,TEST_PROP,EPOCHS,EMBEDDING_DIMS,REPETITIONS,DATASET=DATASET)
+ print_stats_per_dim(EMBEDDING_DIMS,statistics,name=NAME,repetition=REPETITIONS)
+ plot_loss(statistics,NAME,EMBEDDING_DIMS,EPOCHS)
+
+
+do_it()
\ No newline at end of file
diff --git a/DOMINANT/utils.py b/DOMINANT/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2e790624f6da05436025cd54c5033ee8dd015df
--- /dev/null
+++ b/DOMINANT/utils.py
@@ -0,0 +1,46 @@
+import numpy as np
+import scipy.sparse as sp
+import torch
+import scipy.io as sio
+import random
+from sklearn.preprocessing import StandardScaler
+import pickle
+import os
+
+def load_anomaly_detection_dataset(adj,feat,truth):
+
+ adj_norm = normalize_adj(adj)
+ adj_norm = adj_norm.toarray()
+ adj_norm = torch.FloatTensor(adj_norm)
+ adj = torch.FloatTensor(adj)
+ feat = torch.FloatTensor(feat)
+
+
+ return adj_norm, feat, truth, adj
+
+def split_data(labels, val_prop, test_prop, seed):
+ np.random.seed(seed)
+ pos_idx = labels.nonzero()[0]
+ neg_idx = (1. - labels).nonzero()[0]
+ np.random.shuffle(pos_idx)
+ np.random.shuffle(neg_idx)
+ pos_idx = pos_idx.tolist()
+ neg_idx = neg_idx.tolist()
+ nb_pos_neg = min(len(pos_idx), len(neg_idx))
+ nb_val = round(val_prop * nb_pos_neg)
+ nb_test = round(test_prop * nb_pos_neg)
+ idx_val_pos, idx_test_pos, idx_train_pos = pos_idx[:nb_val], pos_idx[nb_val:nb_val + nb_test], pos_idx[
+ nb_val + nb_test:]
+ idx_val_neg, idx_test_neg, idx_train_neg = neg_idx[:nb_val], neg_idx[nb_val:nb_val + nb_test], neg_idx[
+ nb_val + nb_test:]
+ return idx_val_pos + idx_val_neg, idx_test_pos + idx_test_neg, idx_train_pos + idx_train_neg
+
+
+def normalize_adj(adj):
+ """Symmetrically normalize adjacency matrix."""
+ adj = sp.coo_matrix(adj)
+ rowsum = np.array(adj.sum(1))
+ d_inv_sqrt = np.power(rowsum, -0.5).flatten()
+ d_inv_sqrt[np.isinf(d_inv_sqrt)] = 0.
+ d_mat_inv_sqrt = sp.diags(d_inv_sqrt)
+ return adj.dot(d_mat_inv_sqrt).transpose().dot(d_mat_inv_sqrt).tocoo()
\ No newline at end of file
diff --git a/HGWaveNet/config.py b/HGWaveNet/config.py
new file mode 100644
index 0000000000000000000000000000000000000000..df56692271853648f7c175ef13ac4ad1ad1ef06f
--- /dev/null
+++ b/HGWaveNet/config.py
@@ -0,0 +1,68 @@
+import argparse
+import torch
+import os
+
+
+parser = argparse.ArgumentParser(description='HGWaveNet')
+
+parser.add_argument('--nfeat', type=int, default=75, help='dim of input feature')
+parser.add_argument('--nhid', type=int, default=75, help='dim of hidden embedding')
+parser.add_argument('--nout', type=int, default=2, help='dim of output embedding')
+parser.add_argument('--num_nodes', type=int, default=1000, help='number of nodes per graph')
+parser.add_argument('--nclasses', type=int, default=2, help='number of classes')
+parser.add_argument('--lr', type=float, default=0.5, help='learning rate')
+parser.add_argument('--max_epoch', type=int, default=20, help='number of epochs to train.')
+parser.add_argument('--patience', type=int, default=20, help='patience for early stop')
+parser.add_argument('--min_epoch', type=int, default=1, help='min epoch')
+parser.add_argument('--weight_decay', type=float, default=0.01, help='weight for L2 loss on basic model.')
+parser.add_argument('--dropout', type=float, default=0.1, help='dropout rate (1 - keep probability).')
+parser.add_argument('--heads', type=int, default=1, help='attention heads.')
+parser.add_argument('--curvature', type=float, default=1.0, help='curvature value')
+parser.add_argument('--trainable_curvature', type=bool, default=False, help='trainable curvature or not')
+parser.add_argument('--aggregation', type=str, default='att', help='aggregation method: [deg, att]')
+parser.add_argument('--timelength', type=int, default=26, help='total number of snapshots')
+parser.add_argument('--testlength', type=int, default=.3, help='number of test snapshots')
+
+parser.add_argument('--dataset', type=str, default='dblp', help='dataset name')
+parser.add_argument('--data_pt_path', type=str, default='./data/', help='parent path of dataset')
+parser.add_argument('--device', type=int, default=0, help='gpu id, -1 for cpu')
+parser.add_argument('--seed', type=int, default=42, help='random seed')
+parser.add_argument('--repeat', type=int, default=1, help='running times')
+parser.add_argument('--sampling_times', type=int, default=1, help='negative sampling times')
+parser.add_argument('--log_interval', type=int, default=1, help='log interval, default: 20,[20,40,...]')
+parser.add_argument('--pre_defined_feature', default=None, help='pre-defined node feature')
+parser.add_argument('--save_embeddings', type=int, default=0, help='save or not, default:0')
+parser.add_argument('--output_pt_path', type=str, default='./output/', help='parent path of output')
+parser.add_argument('--debug_mode', type=int, default=0, help='debug_mode, 0: normal running; 1: debugging mode')
+parser.add_argument('--use_riemannian_adam', type=bool, default=True,
+ help='use riemannian adam or original adam as optimizer')
+
+parser.add_argument('--model', type=str, default='HGWaveNet', help='model name')
+parser.add_argument('--manifold', type=str, default='PoincareBall', help='hyperbolic model')
+parser.add_argument('--use_hyperdecoder', type=bool, default=True, help='use hyperbolic decoder or not')
+parser.add_argument('--spatial_dilated_factors', type=list, default=[1, 2],
+ help='dilated factor for dilated spatial convolution')
+parser.add_argument('--casual_conv_depth', type=int, default=3, help='number of temporal casual convolution layers')
+parser.add_argument('--casual_conv_kernel_size', type=int, default=2,
+ help='temporal casual convolution kernel size')
+parser.add_argument('--eps', type=float, default=1e-15, help='eps')
+parser.add_argument('--bias', type=bool, default=True, help='use bias or not')
+parser.add_argument('--trainable_feat', type=bool, default=False,
+ help='using trainable feat or one-hot feat, default: trainable feat')
+
+
+
+
+args = parser.parse_args()
+
+if args.device >= 0 and torch.cuda.is_available():
+ args.device = torch.device('cuda:{}'.format(args.device))
+else:
+ args.device = torch.device('cpu')
+print('Using device {} to train the model ...'.format(args.device))
+
+args.output_path = os.path.join(args.output_pt_path, args.dataset)
+if not os.path.isdir(args.output_path):
+ os.makedirs(args.output_path)
+args.log_file = os.path.join(args.output_path, '{}.log'.format(args.model))
+args.emb_file = os.path.join(args.output_path, '{}.emb'.format(args.model))
diff --git a/HGWaveNet/layers/__init__.py b/HGWaveNet/layers/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..bc6c670ebb08679f5e6e2bd1179d82bcfc4260b6
--- /dev/null
+++ b/HGWaveNet/layers/__init__.py
@@ -0,0 +1,3 @@
+from .layers import Linear, FermiDiracDecoder
+from .lorentz_layers import LorentzLinear, LorentzGraphNeuralNetwork, LorentzGraphDecoder
+from .poincare_layers import HGCNConv, HGATConv, HypLinear, HypConv1d
diff --git a/HGWaveNet/layers/layers.py b/HGWaveNet/layers/layers.py
new file mode 100644
index 0000000000000000000000000000000000000000..1333fd6ebede54197582c86d570db4d073fe73f4
--- /dev/null
+++ b/HGWaveNet/layers/layers.py
@@ -0,0 +1,55 @@
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+from torch.nn.modules.module import Module
+
+
+def get_dim_act(args):
+ """
+ Helper function to get dimension and activation at every layer.
+ :param args:
+ :return:
+ """
+ if not args.act:
+ act = lambda x: x
+ else:
+ act = getattr(F, args.act)
+ acts = [act] * (args.num_layers - 1)
+ dims = [args.feat_dim] + ([args.dim] * (args.num_layers - 1))
+ if args.task in ['lp', 'rec']:
+ dims += [args.dim]
+ acts += [act]
+ return dims, acts
+
+
+class Linear(Module):
+ """
+ Simple Linear layer with dropout.
+ """
+ def __init__(self, in_features, out_features, dropout, act, use_bias):
+ super(Linear, self).__init__()
+ self.dropout = dropout
+ self.linear = nn.Linear(in_features, out_features, use_bias)
+ self.act = act
+
+ def forward(self, x):
+ hidden = self.linear.forward(x)
+ hidden = F.dropout(hidden, self.dropout, training=self.training)
+ out = self.act(hidden)
+ return out
+
+ def reset_parameters(self):
+ self.linear.reset_parameters()
+ print('reset Euclidean defined Linear')
+
+
+class FermiDiracDecoder(Module):
+ """Fermi Dirac to compute edge probabilities based on distances."""
+ def __init__(self, r, t):
+ super(FermiDiracDecoder, self).__init__()
+ self.r = r
+ self.t = t
+
+ def forward(self, dist):
+ probs = 1. / (torch.exp((dist - self.r) / self.t) + 1)
+ return probs
diff --git a/HGWaveNet/layers/lorentz_layers.py b/HGWaveNet/layers/lorentz_layers.py
new file mode 100644
index 0000000000000000000000000000000000000000..78806b10e02af9a2c5b87796f4014d24f8efba41
--- /dev/null
+++ b/HGWaveNet/layers/lorentz_layers.py
@@ -0,0 +1,256 @@
+import math
+
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+import torch.nn.init as init
+from torch.nn.modules.module import Module
+
+from layers.layers import Linear
+
+
+def get_dim_act_curv(args):
+ """
+ get dimension and activation in each layer
+ :param args:
+ :return:
+ """
+ if not args.act:
+ act = lambda x: x
+ else:
+ act = getattr(F, args.act)
+ acts = [act] * (args.num_layers - 1)
+ dims = [args.feat_dim] + ([args.dim] * (args.num_layers - 1))
+ if args.task in ['lp']:
+ dims += [args.dim]
+ acts += [act]
+ n_curvatures = args.num_layers
+ else:
+ n_curvatures = args.num_layers - 1
+ if args.c is None:
+ curvatures = [nn.Parameter(torch.Tensor([1.])) for _ in range(n_curvatures)]
+ else:
+ curvatures = [torch.tensor([args.c]) for _ in range(n_curvatures)]
+ if not args.cuda == -1:
+ curvatures = [curv.to(args.device) for curv in curvatures]
+ return dims, acts, curvatures
+
+
+class LorentzLinear(nn.Module):
+ """
+ Lorentz Hyperbolic Graph Neural Layer
+ """
+
+ def __init__(self, manifold, in_features, out_features, c, drop_out, use_bias):
+ super(LorentzLinear, self).__init__()
+ self.manifold = manifold
+ self.in_features = in_features
+ self.out_features = out_features
+ self.c = c
+ self.drop_out = drop_out
+ self.use_bias = use_bias
+ self.bias = nn.Parameter(torch.Tensor(out_features - 1)) # -1 when use mine mat-vec multiply
+ self.weight = nn.Parameter(torch.Tensor(out_features - 1, in_features)) # -1, 0 when use mine mat-vec multiply
+ self.reset_parameters()
+
+ def report_weight(self):
+ print(self.weight)
+
+ def reset_parameters(self):
+ init.xavier_uniform_(self.weight, gain=math.sqrt(2))
+ init.constant_(self.bias, 0)
+ # print('reset lorentz linear layer')
+
+ def forward(self, x):
+ drop_weight = F.dropout(self.weight, self.drop_out, training=self.training)
+ mv = self.manifold.matvec_regular(drop_weight, x, self.bias, self.c, self.use_bias)
+ return mv
+
+ def extra_repr(self):
+ return 'in_features={}, out_features={}, c={}'.format(
+ self.in_features, self.out_features, self.c
+ )
+
+
+class LorentzAgg(Module):
+ """
+ Lorentz centroids aggregation layer
+ """
+
+ def __init__(self, manifold, c, use_att, in_features, dropout):
+ super(LorentzAgg, self).__init__()
+ self.manifold = manifold
+ self.c = c
+ self.use_att = use_att
+ self.in_features = in_features
+ self.dropout = dropout
+ self.this_spmm = SpecialSpmm()
+ if use_att:
+ self.att = LorentzSparseSqDisAtt(manifold, c, in_features - 1, dropout)
+
+ def lorentz_centroid(self, weight, x, c):
+ """
+ Lorentz centroid
+ :param weight: dense weight matrix. shape: [num_nodes, num_nodes]
+ :param x: feature matrix [num_nodes, features]
+ :param c: parameter of curvature
+ :return: the centroids of nodes [num_nodes, features]
+ """
+ if self.use_att:
+ sum_x = self.this_spmm(weight[0], weight[1], weight[2], x)
+ else:
+ sum_x = torch.spmm(weight, x)
+ x_inner = self.manifold.l_inner(sum_x, sum_x)
+ coefficient = (c ** 0.5) / torch.sqrt(torch.abs(x_inner))
+ return torch.mul(coefficient, sum_x.transpose(-2, -1)).transpose(-2, -1)
+
+ def forward(self, x, adj):
+ if self.use_att:
+ adj = self.att(x, adj)
+ output = self.lorentz_centroid(adj, x, self.c)
+ return output
+
+ def extra_repr(self):
+ return 'c={}, use_att={}'.format(
+ self.c, self.use_att
+ )
+
+ def reset_parameters(self):
+ if self.use_att:
+ self.att.reset_parameters()
+ # print('reset agg finished')
+
+
+class LorentzAct(Module):
+ """
+ Lorentz activation layer
+ """
+
+ def __init__(self, manifold, c_in, c_out, act):
+ super(LorentzAct, self).__init__()
+ self.manifold = manifold
+ self.c_in = c_in
+ self.c_out = c_out
+ self.act = act
+
+ def forward(self, x):
+ xt = self.act(self.manifold.log_map_zero(x, c=self.c_in))
+ xt = self.manifold.normalize_tangent_zero(xt, self.c_in)
+ return self.manifold.exp_map_zero(xt, c=self.c_out)
+
+ def extra_repr(self):
+ return 'c_in={}, c_out={}'.format(
+ self.c_in, self.c_out
+ )
+
+
+class LorentzGraphNeuralNetwork(nn.Module):
+ def __init__(self, manifold, in_feature, out_features, c_in, c_out, drop_out, act, use_bias, use_att):
+ super(LorentzGraphNeuralNetwork, self).__init__()
+ self.manifold = manifold
+ self.c_in = c_in
+ self.c_out = c_out
+ self.linear = LorentzLinear(manifold, in_feature, out_features, c_in, drop_out, use_bias)
+ self.agg = LorentzAgg(manifold, c_in, use_att, out_features, drop_out)
+ self.lorentz_act = LorentzAct(manifold, c_in, c_out, act)
+ self.ll = Linear(2 * out_features, out_features, drop_out, act, use_bias)
+
+ def forward(self, _input):
+ x, adj = _input
+ h = self.linear.forward(x)
+ h = self.agg.forward(h, adj)
+ h = self.lorentz_act.forward(h)
+ output = h, adj
+ return output
+
+ def reset_parameters(self):
+ self.linear.reset_parameters()
+ self.agg.reset_parameters()
+
+
+class SpecialSpmmFunction(torch.autograd.Function):
+ """Special function for only sparse region backpropataion layer."""
+ @staticmethod
+ def forward(ctx, indices, values, shape, b):
+ assert indices.requires_grad is False
+ device = b.device
+ a = torch.sparse_coo_tensor(indices, values, shape, device=device)
+ ctx.save_for_backward(a, b)
+ ctx.N = shape[0]
+ return torch.matmul(a, b)
+
+ @staticmethod
+ def backward(ctx, grad_output):
+ a, b = ctx.saved_tensors
+ grad_values = grad_b = None
+ if ctx.needs_input_grad[1]:
+ grad_a_dense = grad_output.matmul(b.t())
+ edge_idx = a._indices()[0, :] * ctx.N + a._indices()[1, :]
+ grad_values = grad_a_dense.view(-1)[edge_idx]
+ if ctx.needs_input_grad[3]:
+ grad_b = a.t().matmul(grad_output)
+ return None, grad_values, None, grad_b
+
+
+class SpecialSpmm(nn.Module):
+ @staticmethod
+ def forward(indices, values, shape, b):
+ return SpecialSpmmFunction.apply(indices, values, shape, b)
+
+
+class LorentzSparseSqDisAtt(nn.Module):
+ def __init__(self, manifold, c, in_features, dropout):
+ super(LorentzSparseSqDisAtt, self).__init__()
+ self.dropout = dropout
+ self.in_features = in_features
+ self.manifold = manifold
+ self.c = c
+ self.weight_linear = LorentzLinear(manifold, in_features, in_features + 1, c, dropout, True)
+
+ def forward(self, x, adj):
+ d = x.size(1) - 1
+ x = self.weight_linear(x)
+ index = adj._indices()
+ _x = x[index[0, :]]
+ _y = x[index[1, :]]
+ _x_head = _x.narrow(1, 0, 1)
+ _y_head = _y.narrow(1, 0, 1)
+ _x_tail = _x.narrow(1, 1, d)
+ _y_tail = _y.narrow(1, 1, d)
+ l_inner = -_x_head.mul(_y_head).sum(-1) + _x_tail.mul(_y_tail).sum(-1)
+ res = torch.clamp(-(self.c + l_inner), min=1e-10, max=1)
+ res = torch.exp(-res)
+ return index, res, adj.size()
+
+
+class LorentzGraphDecoder(nn.Module):
+ """
+ Lorentzian graph neural network decoder
+ """
+ def __init__(self, manifold, in_feature, out_features, c_in, c_out, drop_out, act, use_bias, use_att):
+ super(LorentzGraphDecoder, self).__init__()
+ self.manifold = manifold
+ self.c_in = c_in
+ self.out_features = out_features + 1 # original output equal to num_classes
+ self.in_features = in_feature
+ self.linear = LorentzLinear(manifold, in_feature - 1, self.out_features, c_in, drop_out, False)
+ self.agg = LorentzAgg(manifold, c_in, use_att, self.out_features, drop_out)
+ self.lorentz_act = LorentzAct(manifold, c_in, c_out, act)
+ self.bias = nn.Parameter(torch.Tensor(self.out_features)) if use_bias else None
+ init.constant_(self.bias, 0)
+
+ def forward(self, _input):
+ x, adj = _input
+ # print('=====x', x.shape, self.in_features)
+ h = self.linear.forward(x) # problem is h1+
+ h = self.agg.forward(h, adj)
+ h = self.lorentz_act.forward(h)
+ # b = self.manifold.ptransp0(h, self.bias, self.c_in)
+ # b = self.manifold.exp_map_x(h, b, self.c_in)
+ poincare_h = self.manifold.lorentz2poincare(h, self.c_in)
+ output = poincare_h, adj
+ return output
+
+ def reset_parameters(self):
+ self.linear.reset_parameters()
+ self.agg.reset_parameters()
diff --git a/HGWaveNet/layers/poincare_layers.py b/HGWaveNet/layers/poincare_layers.py
new file mode 100644
index 0000000000000000000000000000000000000000..793adbf2ff83ae4b2000185b892aee716e098268
--- /dev/null
+++ b/HGWaveNet/layers/poincare_layers.py
@@ -0,0 +1,248 @@
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+from torch.nn.modules.module import Module
+from torch_geometric.utils import add_remaining_self_loops, remove_self_loops, softmax, add_self_loops
+from torch_scatter import scatter, scatter_add
+from torch_geometric.nn.conv import MessagePassing
+from torch.nn.parameter import Parameter
+from torch_geometric.nn.inits import glorot, zeros
+
+
+class HGATConv(nn.Module):
+ """
+ Poincare graph convolution layer.
+ """
+ def __init__(self, manifold, in_features, out_features, c_in, c_out, device, act=F.leaky_relu,
+ dropout=0.6, att_dropout=0.6, use_bias=True, heads=2, concat=False):
+ super(HGATConv, self).__init__()
+ out_features = out_features * heads
+ self.linear = HypLinear(manifold, in_features, out_features, c_in, device, dropout=dropout, use_bias=use_bias)
+ self.agg = HypAttAgg(manifold, c_in, out_features, device, att_dropout, heads=heads, concat=concat)
+ self.hyp_act = HypAct(manifold, c_in, c_out, act)
+ self.manifold = manifold
+ self.c_in = c_in
+ self.c_out = c_out
+ self.device = device
+
+ def forward(self, x, edge_index):
+ h = self.linear.forward(x)
+ h = self.agg.forward(h, edge_index)
+ h = self.hyp_act.forward(h)
+ return h
+
+
+class HGCNConv(nn.Module):
+ """
+ Poincare graph convolution layer, from HGCN。
+ """
+ def __init__(self, manifold, in_features, out_features, device, c_in=1.0, c_out=1.0, dropout=0.6, act=F.leaky_relu,
+ use_bias=True):
+ super(HGCNConv, self).__init__()
+ self.linear = HypLinear(manifold, in_features, out_features, c_in, device, dropout=dropout, use_bias=use_bias)
+ self.agg = HypAgg(manifold, c_in, out_features, device, bias=use_bias)
+ self.hyp_act = HypAct(manifold, c_in, c_out, act)
+ self.manifold = manifold
+ self.c_in = c_in
+ self.device = device
+
+ def forward(self, x, edge_index):
+ h = self.linear.forward(x)
+ h = self.agg.forward(h, edge_index)
+ h = self.hyp_act.forward(h)
+ return h
+
+
+class HypLinear(nn.Module):
+ """
+ Poincare linear layer.
+ """
+ def __init__(self, manifold, in_features, out_features, c, device, dropout=0.6, use_bias=True):
+ super(HypLinear, self).__init__()
+ self.manifold = manifold
+ self.in_features = in_features
+ self.out_features = out_features
+ self.c = c
+ self.device = device
+ self.dropout = dropout
+ self.use_bias = use_bias
+ self.bias = Parameter(torch.Tensor(out_features).to(device), requires_grad=True)
+ self.weight = Parameter(torch.Tensor(out_features, in_features).to(device), requires_grad=True)
+ self.reset_parameters()
+
+ def reset_parameters(self):
+ glorot(self.weight)
+ zeros(self.bias)
+
+ def forward(self, x):
+ drop_weight = F.dropout(self.weight, p=self.dropout, training=self.training)
+ mv = self.manifold.mobius_matvec(drop_weight, x, self.c)
+ res = self.manifold.proj(mv, self.c)
+ if self.use_bias:
+ bias = self.manifold.proj_tan0(self.bias.view(1, -1), self.c)
+ hyp_bias = self.manifold.expmap0(bias, self.c)
+ hyp_bias = self.manifold.proj(hyp_bias, self.c)
+ res = self.manifold.mobius_add(res, hyp_bias, c=self.c)
+ res = self.manifold.proj(res, self.c)
+ return res
+
+ def extra_repr(self):
+ return 'in_features={}, out_features={}, c={}'.format(
+ self.in_features, self.out_features, self.c
+ )
+
+
+class HypAttAgg(MessagePassing):
+ def __init__(self, manifold, c, out_features, device, att_dropout=0.6, heads=1, concat=False):
+ super(HypAttAgg, self).__init__()
+ self.manifold = manifold
+ self.dropout = att_dropout
+ self.out_channels = out_features // heads
+ self.negative_slope = 0.2
+ self.heads = heads
+ self.c = c
+ self.device = device
+ self.concat = concat
+ self.att_i = Parameter(torch.Tensor(1, heads, self.out_channels).to(device), requires_grad=True)
+ self.att_j = Parameter(torch.Tensor(1, heads, self.out_channels).to(device), requires_grad=True)
+ glorot(self.att_i)
+ glorot(self.att_j)
+
+ def forward(self, x, edge_index):
+ edge_index, _ = remove_self_loops(edge_index)
+ edge_index, _ = add_self_loops(edge_index,
+ num_nodes=x.size(self.node_dim))
+
+ edge_index_i = edge_index[0]
+ edge_index_j = edge_index[1]
+
+ x_tangent0 = self.manifold.logmap0(x, c=self.c) # project to origin
+ x_i = torch.nn.functional.embedding(edge_index_i, x_tangent0)
+ x_j = torch.nn.functional.embedding(edge_index_j, x_tangent0)
+ x_i = x_i.view(-1, self.heads, self.out_channels)
+ x_j = x_j.view(-1, self.heads, self.out_channels)
+
+ alpha = (x_i * self.att_i).sum(-1) + (x_j * self.att_j).sum(-1)
+
+ alpha = F.leaky_relu(alpha, self.negative_slope)
+ alpha = softmax(alpha, edge_index_i, num_nodes=x_i.size(0))
+ alpha = F.dropout(alpha, self.dropout, training=self.training)
+ support_t = scatter(x_j * alpha.view(-1, self.heads, 1), edge_index_i, dim=0)
+
+ if self.concat:
+ support_t = support_t.view(-1, self.heads * self.out_channels)
+ else:
+ support_t = support_t.mean(dim=1)
+ support_t = self.manifold.proj(self.manifold.expmap0(support_t, c=self.c), c=self.c)
+
+ return support_t
+
+
+class HypAct(Module):
+ """
+ Poincare activation layer.
+ """
+ def __init__(self, manifold, c_in, c_out, act):
+ super(HypAct, self).__init__()
+ self.manifold = manifold
+ self.c_in = c_in
+ self.c_out = c_out
+ self.act = act
+
+ def forward(self, x):
+ xt = self.act(self.manifold.logmap0(x, c=self.c_in))
+ xt = self.manifold.proj_tan0(xt, c=self.c_out)
+ return self.manifold.proj(self.manifold.expmap0(xt, c=self.c_out), c=self.c_out)
+
+ def extra_repr(self):
+ return 'c_in={}, c_out={}'.format(
+ self.c_in, self.c_out
+ )
+
+
+class HypAgg(MessagePassing):
+ """
+ Poincare aggregation layer using degree.
+ """
+ def __init__(self, manifold, c, out_features, device, bias=True):
+ super(HypAgg, self).__init__()
+ self.manifold = manifold
+ self.c = c
+ self.device = device
+ self.use_bias = bias
+ if bias:
+ self.bias = Parameter(torch.Tensor(out_features).to(device))
+ else:
+ self.register_parameter('bias', None)
+ zeros(self.bias)
+ self.mlp = nn.Sequential(nn.Linear(out_features * 2, 1).to(device))
+
+ @staticmethod
+ def norm(edge_index, num_nodes, edge_weight=None, improved=False, dtype=None):
+ if edge_weight is None:
+ edge_weight = torch.ones((edge_index.size(1),), dtype=dtype,
+ device=edge_index.device)
+
+ fill_value = 1 if not improved else 2
+ edge_index, edge_weight = add_remaining_self_loops(
+ edge_index, edge_weight, fill_value, num_nodes)
+
+ row, col = edge_index
+ deg = scatter_add(edge_weight, row, dim=0, dim_size=num_nodes)
+ deg_inv_sqrt = deg.pow(-0.5)
+ deg_inv_sqrt[deg_inv_sqrt == float('inf')] = 0
+
+ return edge_index, deg_inv_sqrt[row] * edge_weight * deg_inv_sqrt[col]
+
+ def forward(self, x, edge_index=None):
+ x_tangent = self.manifold.logmap0(x, c=self.c)
+ edge_index, norm = self.norm(edge_index, x.size(0), dtype=x.dtype)
+ node_i = edge_index[0]
+ node_j = edge_index[1]
+ x_j = torch.nn.functional.embedding(node_j, x_tangent)
+ support = norm.view(-1, 1) * x_j
+ support_t = scatter(support, node_i, dim=0, dim_size=x.size(0)) # aggregate the neighbors of node_i
+ output = self.manifold.proj(self.manifold.expmap0(support_t, c=self.c), c=self.c)
+ return output
+
+ def extra_repr(self):
+ return 'c={}'.format(self.c)
+
+
+class HypConv1d(nn.Module):
+ def __init__(self, manifold, in_size, out_size, kernel_size, c, device, dilation=1, stride=1):
+ super(HypConv1d, self).__init__()
+ self.manifold = manifold
+ self.in_size = in_size
+ self.out_size = out_size
+ self.kernel_size = kernel_size
+ self.c = c
+ self.device = device
+ self.dilation = dilation
+ self.stride = stride
+ self.pad = (kernel_size - 1) // 2 * dilation
+ self.conv = nn.Conv1d(in_size, out_size, kernel_size, padding=self.pad,
+ stride=stride, dilation=dilation, device=device)
+ self.reset_parameters()
+
+ def reset_parameters(self):
+ glorot(self.conv.weight)
+
+ def to_tangent(self, x, c=1.0):
+ x_tan = self.manifold.logmap0(x, c)
+ x_tan = self.manifold.proj_tan0(x_tan, c)
+ return x_tan
+
+ def to_hyper(self, x, c=1.0):
+ x_tan = self.manifold.proj_tan0(x, c)
+ x_hyp = self.manifold.expmap0(x_tan, c)
+ x_hyp = self.manifold.proj(x_hyp, c)
+ return x_hyp
+
+ def forward(self, x):
+ x = self.to_tangent(self.manifold.proj(x, self.c), self.c)
+ x = x.permute(1, 2, 0)
+ x = self.conv(x)
+ x = x.permute(2, 0, 1)
+ x = self.to_hyper(x, self.c)
+ return x
diff --git a/HGWaveNet/loss.py b/HGWaveNet/loss.py
new file mode 100644
index 0000000000000000000000000000000000000000..999a8372be0f62d1e52222b8258c70b00742e214
--- /dev/null
+++ b/HGWaveNet/loss.py
@@ -0,0 +1,79 @@
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+from torch_geometric.utils import negative_sampling
+from sklearn.metrics import roc_auc_score, average_precision_score
+
+from manifolds import Euclidean, Lorentzian, PoincareBall
+from sklearn.metrics import accuracy_score, f1_score, recall_score,precision_score,roc_auc_score
+
+
+class ReconLoss(nn.Module):
+ def __init__(self, args, c,model):
+ super(ReconLoss, self).__init__()
+ if args.manifold == 'PoincareBall':
+ self.manifold = PoincareBall()
+ elif args.manifold == 'Lorentzian':
+ self.manifold = Lorentzian()
+ elif args.manifold == 'Euclidean':
+ self.manifold = Euclidean()
+ else:
+ raise RuntimeError('invalid argument: manifold')
+ self.device = args.device
+ self.c = c
+ self.eps = args.eps
+ self.negative_sampling = negative_sampling
+ self.sampling_times = args.sampling_times
+ self.model = model
+ #self.fermidirac_decoder = FermiDiracDecoder(2.0, 1.0)
+ #self.use_hyperdecoder = args.use_hyperdecoder and (not isinstance(self.manifold, Euclidean))
+
+# @staticmethod
+# def decoder(z, edge_index):
+# value = (z[edge_index[0]] * z[edge_index[1]]).sum(dim=1)
+# return torch.sigmoid(value)
+
+# def hyperdecoder(self, z, edge_index):
+# edge_i = edge_index[0]
+# edge_j = edge_index[1]
+# z_i = F.embedding(edge_i, z)
+# z_j = F.embedding(edge_j, z)
+# dist = self.manifold.sqdist(z_i, z_j, self.c).squeeze()
+# return self.fermidirac_decoder(dist)
+
+# def forward(self, z, pos_edge_index, neg_edge_index=None):
+# decoder = self.hyperdecoder if self.use_hyperdecoder else self.decoder
+# pos_loss = -torch.log(decoder(z, pos_edge_index) + self.eps).mean()
+# if neg_edge_index is None:
+# neg_edge_index = negative_sampling(pos_edge_index,
+# num_neg_samples=pos_edge_index.size(1) * self.sampling_times)
+# neg_loss = -torch.log(1 - decoder(z, neg_edge_index) + self.eps).mean()
+# return pos_loss + neg_loss
+
+# def predict(self, z, pos_edge_index, neg_edge_index):
+# decoder = self.hyperdecoder if self.use_hyperdecoder else self.decoder
+# pos_y = z.new_ones(pos_edge_index.size(1)).to(self.device)
+# neg_y = z.new_zeros(neg_edge_index.size(1)).to(self.device)
+# y = torch.cat([pos_y, neg_y], dim=0)
+# pos_pred = decoder(z, pos_edge_index)
+# neg_pred = decoder(z, neg_edge_index)
+# pred = torch.cat([pos_pred, neg_pred], dim=0)
+# y, pred = y.detach().cpu().numpy(), pred.detach().cpu().numpy()
+# return roc_auc_score(y, pred), average_precision_score(y, pred)
+
+
+# class FermiDiracDecoder(nn.Module):
+# """Fermi Dirac to compute edge probabilities based on distances."""
+# def __init__(self, r, t):
+# super(FermiDiracDecoder, self).__init__()
+# self.r = r
+# self.t = t
+
+# def forward(self, dist):
+# probs = 1. / (torch.exp((dist - self.r) / self.t) + 1.0)
+# return probs
+
+
+ def forward(self, z,labels):
+ output = self.model.decode(z)
+ return F.nll_loss(output, labels)
\ No newline at end of file
diff --git a/HGWaveNet/main.py b/HGWaveNet/main.py
new file mode 100644
index 0000000000000000000000000000000000000000..f8379a3dcfcc07a446ddda7673aa8390b00ad3b4
--- /dev/null
+++ b/HGWaveNet/main.py
@@ -0,0 +1,111 @@
+import torch
+import numpy as np
+import time
+import geoopt
+import networkx as nx
+from math import isnan
+
+from config import args
+from utils.data_utils import prepare
+from utils.util import set_random, logger
+from model import HGWaveNet
+from loss import ReconLoss
+
+from sklearn.metrics import accuracy_score, f1_score, recall_score,precision_score,roc_auc_score
+
+
+class Trainer(object):
+ def __init__(self):
+ args.num_nodes = args.num_nodes
+ self.train_shots = list(range(0, args.timelength - int(args.testlength * args.timelength)))
+ self.test_shots = list(range(int(args.testlength * args.timelength), args.timelength))
+ self.model = HGWaveNet(args).to(args.device)
+ self.loss = ReconLoss(args, self.model.c_out,self.model)
+ self.optimizer = geoopt.optim.radam.RiemannianAdam(self.model.parameters(), lr=args.lr,
+ weight_decay=args.weight_decay)
+ set_random(args.seed)
+
+ def calculate_metrics(self,z,labels):
+ preds = self.model.decode(z)
+ labels = labels.cpu().detach().numpy()
+ preds = preds.cpu().detach().numpy()
+ preds = np.argmax(preds,axis=1)
+ f1 = f1_score(labels, preds)
+ accuracy = accuracy_score(labels, preds)
+ recall = recall_score(labels, preds)
+ precision = precision_score(labels, preds)
+ roc_auc = roc_auc_score(labels,preds )
+ return f1,accuracy,precision,recall,roc_auc
+
+ def train(self):
+ t_total = time.time()
+ min_loss = 1.0e8
+ patience = 0
+ for epoch in range(1, args.max_epoch + 1):
+ t_epoch = time.time()
+ epoch_losses = []
+ z = None
+ epoch_loss = None
+ self.model.init_history()
+ self.model.train()
+ for t in self.train_shots:
+ dilated_edge_index,features,labels = prepare(t,args.spatial_dilated_factors,args.device)
+ self.optimizer.zero_grad()
+ z = self.model(dilated_edge_index,features)
+ epoch_loss = self.loss(z, labels) + self.model.htc(z)
+ logger.info('Epoch:{}, Snapshot: {}; Loss: {:.4f}'.format(epoch, t, epoch_loss.item()))
+ epoch_loss.backward()
+ if isnan(epoch_loss):
+ logger.info('==' * 45)
+ logger.info('nan loss')
+ break
+ self.optimizer.step()
+ epoch_losses.append(epoch_loss.item())
+ self.model.update_history(z)
+ if isnan(epoch_loss):
+ break
+ gpu_mem_alloc = torch.cuda.max_memory_allocated() / 1000000 if torch.cuda.is_available() else 0
+ average_epoch_loss = np.mean(epoch_losses)
+ if average_epoch_loss < min_loss:
+ min_loss = average_epoch_loss
+ patience = 0
+ else:
+ patience += 1
+ if epoch > args.min_epoch and patience > args.patience:
+ logger.info('==' * 45)
+ logger.info('early stopping!')
+ break
+ if epoch == 1 or epoch % args.log_interval == 0:
+ test_results = self.test()
+ logger.info('==' * 45)
+ logger.info("Epoch:{}, Loss: {:.4f}, Time: {:.3f}, GPU: {:.1f}MiB".format(epoch, average_epoch_loss,
+ time.time() - t_epoch,
+ gpu_mem_alloc))
+ logger.info('Epoch:{}, Accuracy: {:.4f}; F1: {:.4f}; Recall: {:.4f}; Precision: {:.4f}; ROC AUC: {:.4f}, Memory: {:.4f}, time: {:.4f}'.format(epoch, test_results[1], test_results[0],test_results[2],test_results[3],test_results[4],test_results[5],test_results[6]))
+
+ logger.info('==' * 45)
+ logger.info('Total time: {:.3f}'.format(time.time() - t_total))
+
+ def test(self):
+ f1_list,acc_list,pre_list,rec_list,roc_list,occupied_memory,ptime = [], [], [], [], [],[],[]
+ self.model.eval()
+ for t in self.test_shots:
+ edge_index,features,labels = prepare(t,args.spatial_dilated_factors,args.device)
+ start = time.time()
+ embeddings = self.model(edge_index,features)
+ f1,accuracy,precision,recall,roc_auc = self.calculate_metrics(embeddings, labels)
+ ptime.append(time.time() - start)
+ occupied_memory.append(torch.cuda.max_memory_allocated() / 1000000 if torch.cuda.is_available() else 0)
+ f1_list.append(f1)
+ acc_list.append(accuracy)
+ pre_list.append(precision)
+ rec_list.append(recall)
+ roc_list.append(roc_auc)
+ return np.mean(f1_list), np.mean(acc_list), np.mean(rec_list), np.mean(pre_list), np.mean(roc_list), np.mean(occupied_memory),np.mean(ptime) * 1000
+
+
+if __name__ == '__main__':
+ trainer = Trainer()
+ trainer.train()
+ print(trainer.test())
+
\ No newline at end of file
diff --git a/HGWaveNet/manifolds/__init__.py b/HGWaveNet/manifolds/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..36b6f411a84516797edf6035e9a226840481848e
--- /dev/null
+++ b/HGWaveNet/manifolds/__init__.py
@@ -0,0 +1,4 @@
+from .base import ManifoldParameter
+from .euclidean import Euclidean
+from .lorentzian import Lorentzian
+from .poincare import PoincareBall
diff --git a/HGWaveNet/manifolds/base.py b/HGWaveNet/manifolds/base.py
new file mode 100644
index 0000000000000000000000000000000000000000..64a755658eb88d82e856aad29b539e7e23694a9b
--- /dev/null
+++ b/HGWaveNet/manifolds/base.py
@@ -0,0 +1,147 @@
+from torch.nn import Parameter
+
+
+class Manifold(object):
+ """
+ Abstract class to define operations on a manifold.
+ """
+ def __init__(self):
+ super().__init__()
+ self.eps = 10e-8
+
+ def sqdist(self, p1, p2, c):
+ """Squared distance between pairs of points."""
+ raise NotImplementedError
+
+ def dist(self, p1, p2, c):
+ """Distance between a pair of points"""
+ raise NotImplementedError
+
+ def egrad2rgrad(self, p, dp, c):
+ """Converts Euclidean Gradient to Riemannian Gradients."""
+ raise NotImplementedError
+
+ def proj(self, p, c):
+ """Projects point p on the manifold."""
+ raise NotImplementedError
+
+ def proj_tan(self, u, p, c):
+ """Projects u on the tangent space of p."""
+ raise NotImplementedError
+
+ def proj_tan0(self, u, c):
+ """Projects u on the tangent space of the origin."""
+ raise NotImplementedError
+
+ def expmap(self, u, p, c):
+ """Exponential map of u at point p."""
+ raise NotImplementedError
+
+ def logmap(self, p1, p2, c):
+ """Logarithmic map of point p1 at point p2."""
+ raise NotImplementedError
+
+ def expmap0(self, u, c):
+ """Exponential map of u at the origin."""
+ raise NotImplementedError
+
+ def logmap0(self, p, c):
+ """Logarithmic map of point p at the origin."""
+ raise NotImplementedError
+
+ def mobius_add(self, x, y, c, dim=-1):
+ """Adds points x and y."""
+ raise NotImplementedError
+
+ def mobius_matvec(self, m, x, c):
+ """Performs hyperboic martrix-vector multiplication."""
+ raise NotImplementedError
+
+ def init_weights(self, w, c, irange=1e-5):
+ """Initializes random weigths on the manifold."""
+ raise NotImplementedError
+
+ def inner(self, p, c, u, v=None):
+ """Inner product for tangent vectors at point x."""
+ raise NotImplementedError
+
+ def ptransp(self, x, y, u, c):
+ """Parallel transport of u from x to y."""
+ raise NotImplementedError
+
+ # the def defined by mine
+ def l_inner(self, x, y, keep_dim):
+ """Lorentz inner"""
+ raise NotImplementedError
+
+ def induced_distance(self, x, y, c):
+ """Metric distance"""
+ raise NotImplementedError
+
+ def lorentzian_distance(self, x, y, c):
+ """lorzentzian distance"""
+ raise NotImplementedError
+
+ def exp_map_x(self, p, dp, c, is_res_normalize, is_dp_normalize):
+ raise NotImplementedError
+
+ def exp_map_zero(self, dp, c, is_res_normalize, is_dp_normalize):
+ raise NotImplementedError
+
+ def log_map_x(self, x, y, c, is_tan_normalize):
+ raise NotImplementedError
+
+ def log_map_zero(self, y, c, is_tan_normalize):
+ raise NotImplementedError
+
+ def matvec_proj(self, m, x, c):
+ raise NotImplementedError
+
+ def matvecbias_proj(self, m, x, b, c):
+ raise NotImplementedError
+
+ def matvec_regular(self, m, x, c):
+ raise NotImplementedError
+
+ def matvecbias_regular(self, m, x, b, c):
+ raise NotImplementedError
+
+ def normalize_tangent_zero(self, p_tan, c):
+ raise NotImplementedError
+
+ def lorentz_centroid(self, weight, x, c):
+ raise NotImplementedError
+
+ def normalize_input(self, x, c):
+ raise NotImplementedError
+
+ def normlize_tangent_bias(self, x, c):
+ raise NotImplementedError
+
+ def proj_tan_zero(self, u, c):
+ raise NotImplementedError
+
+ def lorentz2poincare(self, x, c):
+ raise NotImplementedError
+
+ def poincare2lorentz(self, x, c):
+ raise NotImplementedError
+
+ def _lambda_x(self, x, c):
+ raise NotImplementedError
+
+
+class ManifoldParameter(Parameter):
+ """
+ Subclass of torch.nn.Parameter for Riemannian optimization.
+ """
+ def __new__(cls, data, requires_grad, manifold, c):
+ return Parameter.__new__(cls, data, requires_grad)
+
+ def __init__(self, data, requires_grad, manifold, c):
+ super().__init__(data, requires_grad)
+ self.c = c
+ self.manifold = manifold
+
+ def __repr__(self):
+ return '{} Parameter containing:\n'.format(self.manifold.name) + super(Parameter, self).__repr__()
diff --git a/HGWaveNet/manifolds/euclidean.py b/HGWaveNet/manifolds/euclidean.py
new file mode 100644
index 0000000000000000000000000000000000000000..9379224a4b2fecba3d4ad2ec23ee687f468607eb
--- /dev/null
+++ b/HGWaveNet/manifolds/euclidean.py
@@ -0,0 +1,62 @@
+from manifolds.base import Manifold
+
+
+class Euclidean(Manifold):
+ """
+ Euclidean Manifold class.
+ """
+ def __init__(self):
+ super(Euclidean, self).__init__()
+ self.name = 'Euclidean'
+
+ @staticmethod
+ def normalize(p):
+ dim = p.size(-1)
+ p.view(-1, dim).renorm_(2, 0, 1.)
+ return p
+
+ def sqdist(self, p1, p2, c):
+ return (p1 - p2).pow(2).sum(dim=-1)
+
+ def egrad2rgrad(self, p, dp, c):
+ return dp
+
+ def proj(self, p, c):
+ return p
+
+ def proj_tan(self, u, p, c):
+ return u
+
+ def proj_tan0(self, u, c):
+ return u
+
+ def expmap(self, u, p, c):
+ return p + u
+
+ def logmap(self, p1, p2, c):
+ return p2 - p1
+
+ def expmap0(self, u, c):
+ return u
+
+ def logmap0(self, p, c):
+ return p
+
+ def mobius_add(self, x, y, c, dim=-1):
+ return x + y
+
+ def mobius_matvec(self, m, x, c):
+ mx = x @ m.transpose(-1, -2)
+ return mx
+
+ def init_weights(self, w, c, irange=1e-5):
+ w.data.uniform_(-irange, irange)
+ return w
+
+ def inner(self, p, c, u, v=None, keepdim=False):
+ if v is None:
+ v = u
+ return (u * v).sum(dim=-1, keepdim=keepdim)
+
+ def ptransp(self, x, y, v, c):
+ return v
diff --git a/HGWaveNet/manifolds/lorentzian.py b/HGWaveNet/manifolds/lorentzian.py
new file mode 100644
index 0000000000000000000000000000000000000000..39701b8273d65e3249f44418d8f74b60c8720383
--- /dev/null
+++ b/HGWaveNet/manifolds/lorentzian.py
@@ -0,0 +1,209 @@
+import torch
+
+from manifolds.base import Manifold
+from utils.math_utils import arcosh
+
+
+class Lorentzian(Manifold):
+ """
+ Hyperboloid Manifold class.
+ for x in (d+1)-dimension Euclidean space
+ -x0^2 + x1^2 + x2^2 + … + xd = -c, x0 > 0, c > 0
+ negative curvature - 1 / c
+ """
+
+ def __init__(self):
+ super(Lorentzian, self).__init__()
+ self.name = 'Lorentzian'
+ self.max_norm = 1000
+ self.min_norm = 1e-8
+ self.eps = {torch.float32: 1e-6, torch.float64: 1e-8}
+
+ def l_inner(self, x, y, keep_dim=False):
+ # input shape [node, features]
+ d = x.size(-1) - 1
+ xy = x * y
+ xy = torch.cat((-xy.narrow(1, 0, 1), xy.narrow(1, 1, d)), dim=1)
+ return torch.sum(xy, dim=1, keepdim=keep_dim)
+
+ def sqdist(self, p1, p2, c):
+ dist = self.lorentzian_distance(p1, p2, c)
+ dist = torch.clamp(dist, min=self.eps[p1.dtype], max=50)
+ return dist
+
+ def induced_distance(self, x, y, c):
+ xy_inner = self.l_inner(x, y)
+ sqrt_c = c ** 0.5
+ return sqrt_c * arcosh(-xy_inner / c + self.eps[x.dtype])
+
+ def lorentzian_distance(self, x, y, c):
+ # the squared Lorentzian distance
+ xy_inner = self.l_inner(x, y)
+ return -2 * (c + xy_inner)
+
+ def egrad2rgrad(self, p, dp, c):
+ """
+ Transform the Euclidean gradient to Riemannian gradient
+ :param p: vector in hyperboloid
+ :param dp: gradient with Euclidean geometry
+ :param c: parameter of curvature
+ :return: gradient with Riemannian geometry
+ """
+ dp.narrow(-1, 0, 1).mul_(-1) # multiply g_l^-1
+ dp.addcmul_(self.l_inner(p, dp, keep_dim=True).expand_as(p) / c, p)
+ return dp
+
+ def normalize(self, p, c):
+ """
+ Normalize vector to confirm it is located on the hyperboloid
+ :param p: [nodes, features(d + 1)]
+ :param c: parameter of curvature
+ """
+ d = p.size(-1) - 1
+ narrowed = p.narrow(-1, 1, d)
+ if self.max_norm:
+ narrowed = torch.renorm(narrowed.view(-1, d), 2, 0, self.max_norm)
+ first = c + torch.sum(torch.pow(narrowed, 2), dim=-1, keepdim=True)
+ first = torch.sqrt(first)
+ return torch.cat((first, narrowed), dim=1)
+
+ def proj(self, p, c):
+ return self.normalize(p, c)
+
+ def normalize_tangent(self, p, p_tan, c):
+ """
+ Normalize tangent vectors to place the vectors satisfies <p, p_tan>_L=0
+ :param p: the tangent spaces at p. size:[nodes, feature]
+ :param p_tan: the tangent vector in tangent space at p
+ :param c: parameter of curvature
+ """
+ d = p_tan.size(1) - 1
+ p_tail = p.narrow(1, 1, d)
+ p_tan_tail = p_tan.narrow(1, 1, d)
+ ptpt = torch.sum(p_tail * p_tan_tail, dim=1, keepdim=True)
+ p_head = torch.sqrt(c + torch.sum(torch.pow(p_tail, 2), dim=1, keepdim=True) + self.eps[p.dtype])
+ return torch.cat((ptpt / p_head, p_tan_tail), dim=1)
+
+ def normalize_tangent_zero(self, p_tan, c):
+ zeros = torch.zeros_like(p_tan)
+ zeros[:, 0] = c ** 0.5
+ return self.normalize_tangent(zeros, p_tan, c)
+
+ def exp_map_x(self, p, dp, c, is_res_normalize=True, is_dp_normalize=True):
+ if is_dp_normalize:
+ dp = self.normalize_tangent(p, dp, c)
+ dp_lnorm = self.l_inner(dp, dp, keep_dim=True)
+ dp_lnorm = torch.sqrt(torch.clamp(dp_lnorm + self.eps[p.dtype], 1e-6))
+ dp_lnorm_cut = torch.clamp(dp_lnorm, max=50)
+ sqrt_c = c ** 0.5
+ res = (torch.cosh(dp_lnorm_cut / sqrt_c) * p) + sqrt_c * (torch.sinh(dp_lnorm_cut / sqrt_c) * dp / dp_lnorm)
+ if is_res_normalize:
+ res = self.normalize(res, c)
+ return res
+
+ def exp_map_zero(self, dp, c, is_res_normalize=True, is_dp_normalize=True):
+ zeros = torch.zeros_like(dp)
+ zeros[:, 0] = c ** 0.5
+ return self.exp_map_x(zeros, dp, c, is_res_normalize, is_dp_normalize)
+
+ def log_map_x(self, x, y, c, is_tan_normalize=True):
+ """
+ Logarithmic map at x: project hyperboloid vectors to a tangent space at x
+ :param x: vector on hyperboloid
+ :param y: vector to project a tangent space at x
+ :param c: parameter of curvature
+ :param is_tan_normalize: whether normalize the y_tangent
+ :return: y_tangent
+ """
+ xy_distance = self.induced_distance(x, y, c)
+ tmp_vector = y + self.l_inner(x, y, keep_dim=True) / c * x
+ tmp_norm = torch.sqrt(self.l_inner(tmp_vector, tmp_vector) + self.eps[x.dtype])
+ y_tan = xy_distance.unsqueeze(-1) / tmp_norm.unsqueeze(-1) * tmp_vector
+ if is_tan_normalize:
+ y_tan = self.normalize_tangent(x, y_tan, c)
+ return y_tan
+
+ def log_map_zero(self, y, c, is_tan_normalize=True):
+ zeros = torch.zeros_like(y)
+ zeros[:, 0] = c ** 0.5
+ return self.log_map_x(zeros, y, c, is_tan_normalize)
+
+ def logmap0(self, p, c):
+ return self.log_map_zero(p, c)
+
+ def proj_tan(self, u, p, c):
+ """
+ project vector u into the tangent vector at p
+ :param u: the vector in Euclidean space
+ :param p: the vector on a hyperboloid
+ :param c: parameter of curvature
+ """
+ return u - self.l_inner(u, p, keep_dim=True) / self.l_inner(p, p, keep_dim=True) * p
+
+ def proj_tan_zero(self, u, c):
+ zeros = torch.zeros_like(u)
+ # print(zeros)
+ zeros[:, 0] = c ** 0.5
+ return self.proj_tan(u, zeros, c)
+
+ def proj_tan0(self, u, c):
+ return self.proj_tan_zero(u, c)
+
+ def normalize_input(self, x, c):
+ # print('=====normalize original input===========')
+ num_nodes = x.size(0)
+ zeros = torch.zeros(num_nodes, 1, dtype=x.dtype, device=x.device)
+ x_tan = torch.cat((zeros, x), dim=1)
+ return self.exp_map_zero(x_tan, c)
+
+ def matvec_regular(self, m, x, b, c, use_bias):
+ d = x.size(1) - 1
+ x_tan = self.log_map_zero(x, c)
+ x_head = x_tan.narrow(1, 0, 1)
+ x_tail = x_tan.narrow(1, 1, d)
+ mx = x_tail @ m.transpose(-1, -2)
+ if use_bias:
+ mx_b = mx + b
+ else:
+ mx_b = mx
+ mx = torch.cat((x_head, mx_b), dim=1)
+ mx = self.normalize_tangent_zero(mx, c)
+ mx = self.exp_map_zero(mx, c)
+ cond = (mx == 0).prod(-1, keepdim=True, dtype=torch.uint8)
+ res = torch.zeros(1, dtype=mx.dtype, device=mx.device)
+ res = torch.where(cond, res, mx)
+ return res
+
+ def lorentz_centroid(self, weight, x, c):
+ sum_x = torch.spmm(weight, x)
+ # print('weight x', sum_x)
+ x_inner = self.l_inner(sum_x, sum_x)
+ coefficient = (c ** 0.5) / torch.sqrt(torch.abs(x_inner))
+ return torch.mul(coefficient, sum_x.transpose(-2, -1)).transpose(-2, -1)
+
+ def lorentz2poincare(self, x, c):
+ try:
+ radius = torch.sqrt(c)
+ except:
+ radius = c ** 0.5
+ d = x.size(-1) - 1
+ return (x.narrow(-1, 1, d) * radius) / (x.narrow(-1, 0, 1) + radius)
+
+ def poincare2lorentz(self, x, c):
+ x_norm_square = torch.sum(x * x, dim=1, keepdim=True)
+ return torch.cat((1 + x_norm_square, 2 * x), dim=1) / (1 - x_norm_square + 1e-8)
+
+ def ptransp0(self, y, v, c):
+ # y: target point
+ zeros = torch.zeros_like(v)
+ zeros[:, 0] = c ** 0.5
+ v = self.normalize_tangent_zero(v, c)
+ return self.ptransp(zeros, y, v, c)
+
+ def ptransp(self, x, y, v, c):
+ # transport v from x to y
+ K = 1. / c
+ yv = self.l_inner(y, v, keep_dim=True)
+ xy = self.l_inner(x, y, keep_dim=True)
+ _frac = K * yv / (1 - K * xy)
+ return v + _frac * (x + y)
diff --git a/HGWaveNet/manifolds/poincare.py b/HGWaveNet/manifolds/poincare.py
new file mode 100644
index 0000000000000000000000000000000000000000..b8f6b1fd5fdf9b2167ea93ef045cc5dd2487be42
--- /dev/null
+++ b/HGWaveNet/manifolds/poincare.py
@@ -0,0 +1,149 @@
+"""Poincare ball manifold."""
+
+import torch
+from manifolds.base import Manifold
+from utils.math_utils import artanh, tanh
+
+
+class PoincareBall(Manifold):
+ """
+ PoicareBall Manifold class.
+ We use the following convention: x0^2 + x1^2 + ... + xd^2 < 1 / c
+ Note that 1/sqrt(c) is the Poincare ball radius.
+ """
+ def __init__(self, ):
+ super(PoincareBall, self).__init__()
+ self.name = 'PoincareBall'
+ self.min_norm = 1e-15
+ self.eps = {torch.float32: 4e-3, torch.float64: 1e-5}
+
+ def sqdist(self, p1, p2, c):
+ sqrt_c = c ** 0.5
+ dist_c = artanh(
+ sqrt_c * self.mobius_add(-p1, p2, c, dim=-1).norm(dim=-1, p=2, keepdim=False)
+ )
+ dist = dist_c * 2 / sqrt_c
+ return dist ** 2
+
+ @staticmethod
+ def dist0(p1, c, keepdim=False):
+ sqrt_c = c ** 0.5
+ dist_c = artanh(
+ sqrt_c * p1.norm(dim=-1, p=2, keepdim=keepdim)
+ )
+ dist = dist_c * 2 / sqrt_c
+ return dist
+
+ def _lambda_x(self, x, c):
+ x_sqnorm = torch.sum(x.data.pow(2), dim=-1, keepdim=True)
+ return 2 / (1. - c * x_sqnorm).clamp_min(self.min_norm)
+
+ def egrad2rgrad(self, p, dp, c):
+ lambda_p = self._lambda_x(p, c)
+ dp /= lambda_p.pow(2)
+ return dp
+
+ def proj(self, x, c):
+ norm = torch.clamp_min(x.norm(dim=-1, keepdim=True, p=2), self.min_norm)
+ maxnorm = (1 - self.eps[x.dtype]) / (c ** 0.5)
+ cond = norm > maxnorm
+ projected = x / norm * maxnorm
+ return torch.where(cond, projected, x)
+
+ def proj_tan(self, u, p, c):
+ return u
+
+ def proj_tan0(self, u, c):
+ return u
+
+ def expmap(self, u, p, c):
+ sqrt_c = c ** 0.5
+ u_norm = u.norm(dim=-1, p=2, keepdim=True).clamp_min(self.min_norm)
+ second_term = (
+ tanh(sqrt_c / 2 * self._lambda_x(p, c) * u_norm)
+ * u
+ / (sqrt_c * u_norm)
+ )
+ gamma_1 = self.mobius_add(p, second_term, c)
+ return gamma_1
+
+ def logmap(self, p1, p2, c):
+ sub = self.mobius_add(-p1, p2, c)
+ sub_norm = sub.norm(dim=-1, p=2, keepdim=True).clamp_min(self.min_norm)
+ lam = self._lambda_x(p1, c)
+ sqrt_c = c ** 0.5
+ return 2 / sqrt_c / lam * artanh(sqrt_c * sub_norm) * sub / sub_norm
+
+ def expmap0(self, u, c):
+ sqrt_c = c ** 0.5
+ u_norm = torch.clamp_min(u.norm(dim=-1, p=2, keepdim=True), self.min_norm)
+ gamma_1 = tanh(sqrt_c * u_norm) * u / (sqrt_c * u_norm)
+ return gamma_1
+
+ def logmap0(self, p, c):
+ sqrt_c = c ** 0.5
+ p_norm = p.norm(dim=-1, p=2, keepdim=True).clamp_min(self.min_norm)
+ scale = 1. / sqrt_c * artanh(sqrt_c * p_norm) / p_norm
+ return scale * p
+
+ def mobius_add(self, x, y, c, dim=-1):
+ x2 = x.pow(2).sum(dim=dim, keepdim=True)
+ y2 = y.pow(2).sum(dim=dim, keepdim=True)
+ xy = (x * y).sum(dim=dim, keepdim=True)
+ num = (1 + 2 * c * xy + c * y2) * x + (1 - c * x2) * y
+ denom = 1 + 2 * c * xy + c ** 2 * x2 * y2
+ return num / denom.clamp_min(self.min_norm)
+
+ def mobius_matvec(self, m, x, c):
+ sqrt_c = c ** 0.5
+ x_norm = x.norm(dim=-1, keepdim=True, p=2).clamp_min(self.min_norm)
+ mx = x @ m.transpose(-1, -2)
+ mx_norm = mx.norm(dim=-1, keepdim=True, p=2).clamp_min(self.min_norm)
+ res_c = tanh(mx_norm / x_norm * artanh(sqrt_c * x_norm)) * mx / (mx_norm * sqrt_c)
+ cond = (mx == 0).prod(-1, keepdim=True, dtype=torch.bool)
+ res_0 = torch.zeros(1, dtype=res_c.dtype, device=res_c.device)
+ res = torch.where(cond, res_0, res_c)
+ return res
+
+ def init_weights(self, w, c, irange=1e-5):
+ w.data.uniform_(-irange, irange)
+ return w
+
+ def _gyration(self, u, v, w, c, dim: int = -1):
+ u2 = u.pow(2).sum(dim=dim, keepdim=True)
+ v2 = v.pow(2).sum(dim=dim, keepdim=True)
+ uv = (u * v).sum(dim=dim, keepdim=True)
+ uw = (u * w).sum(dim=dim, keepdim=True)
+ vw = (v * w).sum(dim=dim, keepdim=True)
+ c2 = c ** 2
+ a = -c2 * uw * v2 + c * vw + 2 * c2 * uv * vw
+ b = -c2 * vw * u2 - c * uw
+ d = 1 + 2 * c * uv + c2 * u2 * v2
+ return w + 2 * (a * u + b * v) / d.clamp_min(self.min_norm)
+
+ def inner(self, x, c, u, v=None, keepdim=False):
+ if v is None:
+ v = u
+ lambda_x = self._lambda_x(x, c)
+ return lambda_x ** 2 * (u * v).sum(dim=-1, keepdim=keepdim)
+
+ def ptransp(self, x, y, u, c):
+ lambda_x = self._lambda_x(x, c)
+ lambda_y = self._lambda_x(y, c)
+ return self._gyration(y, -x, u, c) * lambda_x / lambda_y
+
+ def ptransp_(self, x, y, u, c):
+ lambda_x = self._lambda_x(x, c)
+ lambda_y = self._lambda_x(y, c)
+ return self._gyration(y, -x, u, c) * lambda_x / lambda_y
+
+ def ptransp0(self, x, u, c):
+ lambda_x = self._lambda_x(x, c)
+ return 2 * u / lambda_x.clamp_min(self.min_norm)
+
+ @staticmethod
+ def to_hyperboloid(x, c):
+ K = 1. / c
+ sqrtK = K ** 0.5
+ sqnorm = torch.norm(x, p=2, dim=1, keepdim=True) ** 2
+ return sqrtK * torch.cat([K + sqnorm, 2 * sqrtK * x], dim=1) / (K - sqnorm)
diff --git a/HGWaveNet/model/__init__.py b/HGWaveNet/model/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..8778501de0210641ec6baf4d7c388f457509400c
--- /dev/null
+++ b/HGWaveNet/model/__init__.py
@@ -0,0 +1,3 @@
+from .hgwavenet import HGWaveNet
+from .spatial_dilated_conv import SpatialDilatedConv
+from .temporal_casual_conv import TemporalCasualConv
diff --git a/HGWaveNet/model/hgwavenet.py b/HGWaveNet/model/hgwavenet.py
new file mode 100644
index 0000000000000000000000000000000000000000..9273dd9bdd3e371b58aaa1269683813a2894da14
--- /dev/null
+++ b/HGWaveNet/model/hgwavenet.py
@@ -0,0 +1,113 @@
+import torch
+import torch.nn as nn
+from torch.nn import Parameter
+import torch.nn.functional as F
+from torch_geometric.nn.inits import glorot
+
+from model.spatial_dilated_conv import SpatialDilatedConv
+from model.temporal_casual_conv import TemporalCasualConv
+from layers import HypLinear
+from manifolds import Euclidean, Lorentzian, PoincareBall
+from torch.nn.modules.module import Module
+
+
+class Linear(Module):
+ """
+ Simple Linear layer with dropout.
+ """
+
+ def __init__(self, in_features, out_features, dropout, act, use_bias):
+ super(Linear, self).__init__()
+ self.dropout = dropout
+ self.linear = nn.Linear(in_features, out_features, use_bias)
+ self.act = act
+
+ def forward(self, x):
+ hidden = self.linear.forward(x)
+ hidden = F.dropout(hidden, self.dropout, training=self.training)
+ out = self.act(hidden)
+ return out
+
+
+class HGWaveNet(nn.Module):
+ def __init__(self, args):
+ super(HGWaveNet, self).__init__()
+ if args.manifold == 'PoincareBall':
+ self.manifold = PoincareBall()
+ elif args.manifold == 'Lorentzian':
+ self.manifold = Lorentzian()
+ elif args.manifold == 'Euclidean':
+ self.manifold = Euclidean()
+ else:
+ raise RuntimeError('invalid argument: manifold')
+ self.device = args.device
+ self.window_size = args.casual_conv_kernel_size ** args.casual_conv_depth
+ self.history_initial = torch.ones(args.num_nodes, args.nout).to(args.device)
+ self.history = []
+ self.spatial_dilated_conv = SpatialDilatedConv(args)
+ self.c_out = self.spatial_dilated_conv.c_out
+ self.nout = args.nout
+ self.temporal_casual_conv = TemporalCasualConv(args, self.c_out)
+ self.gru = nn.GRUCell(args.nout, args.nout)
+ self.linear = HypLinear(self.manifold, args.nout, args.nout, self.c_out, self.device,
+ dropout=args.dropout, use_bias=args.bias)
+ self.Q = Parameter(torch.ones((args.nout, args.nhid)).to(args.device), requires_grad=True)
+ self.r = Parameter(torch.ones((args.nhid, 1)).to(args.device), requires_grad=True)
+ self.reset_parameters()
+ self.cls = nn.Linear(args.nout, args.nclasses, True,device='cuda')
+
+ def reset_parameters(self):
+ glorot(self.history_initial)
+ glorot(self.Q)
+ glorot(self.r)
+
+ def to_hyper(self, x, c=1.0):
+ x_tan = self.manifold.proj_tan0(x, c)
+ x_hyp = self.manifold.expmap0(x_tan, c)
+ x_hyp = self.manifold.proj(x_hyp, c)
+ return x_hyp
+
+ def to_tangent(self, x, c=1.0):
+ x_tan = self.manifold.logmap0(x, c)
+ x_tan = self.manifold.proj_tan0(x_tan, c)
+ return x_tan
+
+ def init_hyper(self, x, c=1.0):
+ if isinstance(self.manifold, Lorentzian):
+ o = torch.zeros_like(x)
+ x = torch.cat([o[:, 0:1], x], dim=1)
+ return self.to_hyper(x, c)
+
+ def init_history(self):
+ self.history = [self.init_hyper(self.history_initial).unsqueeze(0)] * self.window_size
+ return self.history
+
+ def aggregate_history(self, history):
+ att = torch.matmul(torch.tanh(torch.matmul(history, self.Q)), self.r)
+ att = torch.reshape(att, (self.window_size, -1))
+ att = F.softmax(att, dim=0).unsqueeze(2)
+ history_reshape = torch.reshape(history, [self.window_size, -1, self.nout])
+ history_agg = torch.mean(att * history_reshape, dim=0)
+ return history_agg
+
+ def htc(self, x):
+ x = self.manifold.proj(x, self.c_out)
+ h = self.manifold.proj(self.history[-1], self.c_out)
+ return self.manifold.sqdist(x, h, self.c_out).squeeze().mean()
+
+ def update_history(self, x):
+ self.history.pop(0)
+ self.history.append(x.clone().detach().requires_grad_(False).unsqueeze(0))
+
+ def forward(self, dilated_edge_index, x=None):
+ x = self.spatial_dilated_conv(dilated_edge_index, x)
+ history = torch.cat(self.history, dim=0)
+ x = self.gru(self.to_tangent(x, self.c_out),
+ self.to_tangent(self.temporal_casual_conv(history)[-1], self.c_out))
+ x = self.to_hyper(x, self.c_out)
+ x = self.linear(x)
+ return x
+
+ def decode(self,x):
+ x = self.to_tangent(x, self.c_out)
+ return F.log_softmax(self.cls(x), dim=1)
\ No newline at end of file
diff --git a/HGWaveNet/model/spatial_dilated_conv.py b/HGWaveNet/model/spatial_dilated_conv.py
new file mode 100644
index 0000000000000000000000000000000000000000..5ad65230bf009ca9bc75c749528d4b6c2f62b556
--- /dev/null
+++ b/HGWaveNet/model/spatial_dilated_conv.py
@@ -0,0 +1,101 @@
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+from torch.nn import Parameter
+from torch_geometric.nn.inits import glorot
+
+from manifolds import Euclidean, Lorentzian, PoincareBall
+from layers import HGCNConv, HGATConv
+
+
+class SpatialDilatedConv(nn.Module):
+ def __init__(self, args):
+ super(SpatialDilatedConv, self).__init__()
+ self.feat = Parameter((torch.ones(args.num_nodes, args.nfeat)).to(args.device), requires_grad=True)
+ self.linear = nn.Linear(args.nfeat, args.nhid).to(args.device)
+ if args.manifold == 'PoincareBall':
+ self.manifold = PoincareBall()
+ elif args.manifold == 'Lorentzian':
+ self.manifold = Lorentzian()
+ elif args.manifold == 'Euclidean':
+ self.manifold = Euclidean()
+ else:
+ raise RuntimeError('invalid argument: manifold')
+ self.c = Parameter(torch.ones(len(args.spatial_dilated_factors) * 3 + 1, 1).to(args.device) * args.curvature,
+ requires_grad=args.trainable_curvature)
+ self.c_out = self.c[-1]
+ self.spatial_layers = []
+ if args.aggregation == 'deg':
+ for i in range(len(args.spatial_dilated_factors)):
+ layer1 = HGCNConv(self.manifold, args.nhid, args.nhid, args.device, self.c[i * 3],
+ self.c[i * 3 + 1], dropout=args.dropout, use_bias=args.bias)
+ layer2 = HGCNConv(self.manifold, args.nhid, args.nout, args.device, self.c[i * 3 + 1],
+ self.c[i * 3 + 2], dropout=args.dropout, use_bias=args.bias)
+ self.spatial_layers.append([layer1, layer2])
+ elif args.aggregation == 'att':
+ for i in range(len(args.spatial_dilated_factors)):
+ layer1 = HGATConv(self.manifold, args.nhid, args.nhid, self.c[i * 3],
+ self.c[i * 3 + 1], args.device, heads=args.heads, dropout=args.dropout,
+ use_bias=args.bias, att_dropout=args.dropout, concat=True)
+ layer2 = HGATConv(self.manifold, args.nhid * args.heads, args.nout, self.c[i * 3 + 1],
+ self.c[i * 3 + 2], args.device, heads=args.heads, dropout=args.dropout,
+ use_bias=args.bias, att_dropout=args.dropout, concat=False)
+ self.spatial_layers.append([layer1, layer2])
+ else:
+ raise RuntimeError('invalid argument: aggregation')
+ self.nhid = args.nhid
+ self.nout = args.nout
+ self.spatial_dilated_factors = args.spatial_dilated_factors
+ self.Q = Parameter(torch.ones((args.nout, args.nhid)).to(args.device), requires_grad=True)
+ self.r = Parameter(torch.ones((args.nhid, 1)).to(args.device), requires_grad=True)
+ self.reset_parameter()
+
+ def reset_parameter(self):
+ glorot(self.feat)
+ glorot(self.linear.weight)
+ glorot(self.Q)
+ glorot(self.r)
+
+ def to_hyper(self, x, c=1.0):
+ x_tan = self.manifold.proj_tan0(x, c)
+ x_hyp = self.manifold.expmap0(x_tan, c)
+ x_hyp = self.manifold.proj(x_hyp, c)
+ return x_hyp
+
+ def to_tangent(self, x, c=1.0):
+ x_tan = self.manifold.logmap0(x, c)
+ x_tan = self.manifold.proj_tan0(x_tan, c)
+ return x_tan
+
+ def init_hyper(self, x, c=1.0):
+ if isinstance(self.manifold, Lorentzian):
+ o = torch.zeros_like(x)
+ x = torch.cat([o[:, 0:1], x], dim=1)
+ return self.to_hyper(x, c)
+
+ def aggregate_dilated(self, dilated):
+ att = torch.matmul(torch.tanh(torch.matmul(dilated, self.Q)), self.r)
+ att = torch.reshape(att, (len(self.spatial_dilated_factors), -1))
+ att = F.softmax(att, dim=0).unsqueeze(2)
+ dilated_reshape = torch.reshape(dilated, [len(self.spatial_dilated_factors), -1, self.nout])
+ dilated_agg = torch.mean(att * dilated_reshape, dim=0)
+ return dilated_agg
+
+ def forward(self, dilated_edge_index, x=None):
+ x_list = []
+ if x is None:
+ x = self.linear(self.feat)
+ else:
+ x = self.linear(x)
+ for i in range(len(self.spatial_dilated_factors)):
+ x_f = self.init_hyper(x, self.c[i * 3])
+ x_f = self.manifold.proj(x_f, self.c[i * 3])
+ x_f = self.spatial_layers[i][0](x_f, dilated_edge_index[i])
+ x_f = self.manifold.proj(x_f, self.c[i * 3 + 1])
+ x_f = self.spatial_layers[i][1](x_f, dilated_edge_index[i])
+ x_list.append(x_f)
+ x = torch.cat([self.to_tangent(x_list[i], self.c[i * 3 + 2])
+ for i in range(len(self.spatial_dilated_factors))], dim=0)
+ x = self.aggregate_dilated(x)
+ x = self.to_hyper(x, self.c_out)
+ return x
diff --git a/HGWaveNet/model/temporal_casual_conv.py b/HGWaveNet/model/temporal_casual_conv.py
new file mode 100644
index 0000000000000000000000000000000000000000..fded1df10c8bbea14b9b012a9eaf07dc12acf5b4
--- /dev/null
+++ b/HGWaveNet/model/temporal_casual_conv.py
@@ -0,0 +1,93 @@
+import torch
+import torch.nn as nn
+from torch_geometric.nn.inits import glorot
+
+from manifolds import Euclidean, Lorentzian, PoincareBall
+from layers import HypConv1d
+
+
+class TemporalCasualConv(nn.Module):
+ def __init__(self, args, c):
+ super(TemporalCasualConv, self).__init__()
+ if args.manifold == 'PoincareBall':
+ self.manifold = PoincareBall()
+ elif args.manifold == 'Lorentzian':
+ self.manifold = Lorentzian()
+ elif args.manifold == 'Euclidean':
+ self.manifold = Euclidean()
+ else:
+ raise RuntimeError('invalid argument: manifold')
+ self.c = c
+ self.device = args.device
+ self.nout = args.nout
+ self.residual_size = args.nout
+ self.skip_size = args.nout
+ self.casual_conv_depth = args.casual_conv_depth
+ self.casual_conv_kernel_size = args.casual_conv_kernel_size
+ self.dilated_stack = nn.ModuleList(
+ [ResidualLayer(self.manifold, self.residual_size, self.skip_size, self.casual_conv_kernel_size,
+ self.casual_conv_kernel_size ** layer, self.c, device=self.device)
+ for layer in range(self.casual_conv_depth)])
+
+ def forward(self, x):
+ skips = []
+ for layer in self.dilated_stack:
+ skip, x = layer(x)
+ skips.append(skip.unsqueeze(0))
+ out = torch.cat(skips, dim=0).mean(dim=0)
+ out = self.manifold.proj(out, self.c)
+ return out
+
+
+class ResidualLayer(nn.Module):
+ def __init__(self, manifold, residual_size, skip_size, kernel_size, dilation, c, device):
+ super(ResidualLayer, self).__init__()
+ self.manifold = manifold
+ self.c = c
+ self.device = device
+ self.residual_size = residual_size
+ self.skip_size = skip_size
+ self.kernel_size = kernel_size * 2 - 1
+ self.dilation = dilation
+ self.conv_filter = HypConv1d(manifold, residual_size, residual_size, self.kernel_size,
+ c=c, device=device, dilation=dilation)
+ self.conv_gate = HypConv1d(manifold, residual_size, residual_size, self.kernel_size,
+ c=c, device=device, dilation=dilation)
+ self.conv_res = nn.Conv1d(residual_size, residual_size, kernel_size=1)
+ self.conv_skip = nn.Conv1d(residual_size, skip_size, kernel_size=1)
+ self.reset_parameters()
+
+ def reset_parameters(self):
+ glorot(self.conv_res.weight)
+ glorot(self.conv_skip.weight)
+
+ def to_tangent(self, x, c=1.0):
+ x_tan = self.manifold.logmap0(x, c)
+ x_tan = self.manifold.proj_tan0(x_tan, c)
+ return x_tan
+
+ def to_hyper(self, x, c=1.0):
+ x_tan = self.manifold.proj_tan0(x, c)
+ x_hyp = self.manifold.expmap0(x_tan, c)
+ x_hyp = self.manifold.proj(x_hyp, c)
+ return x_hyp
+
+ def forward(self, x):
+ conv_filter = self.conv_filter(x)
+ conv_gate = self.conv_gate(x)
+ conv_filter = self.to_tangent(self.manifold.proj(conv_filter, self.c), self.c)
+ conv_filter = self.to_hyper(torch.tanh(conv_filter), self.c)
+ conv_gate = self.to_tangent(self.manifold.proj(conv_gate, self.c), self.c)
+ fx = conv_filter * torch.sigmoid(conv_gate)
+ fx = self.to_tangent(self.manifold.proj(fx, self.c), self.c)
+ fx = fx.permute(1, 2, 0)
+ fx = self.conv_res(fx)
+ fx = fx.permute(2, 0, 1)
+ fx = self.to_hyper(fx, self.c)
+ skip = self.to_tangent(self.manifold.proj(fx, self.c), self.c)
+ skip = skip.permute(1, 2, 0)
+ skip = self.conv_skip(skip)
+ skip = skip.permute(2, 0, 1)
+ skip = self.to_hyper(skip, self.c)
+ residual = self.manifold.mobius_add(fx, x, self.c)
+ return skip, residual
diff --git a/HGWaveNet/output/dblp.data/HGWaveNet.log b/HGWaveNet/output/dblp.data/HGWaveNet.log
new file mode 100644
index 0000000000000000000000000000000000000000..3f9fba0cf73c57b18e9ff5f24b8ed434e01e3292
--- /dev/null
+++ b/HGWaveNet/output/dblp.data/HGWaveNet.log
@@ -0,0 +1,3 @@
+[2024-01-04 00:58:26,932 INFO] {} does not exist, exiting...
+[2024-01-04 00:58:51,830 INFO] {} does not exist, exiting...
+[2024-01-04 00:59:23,861 INFO] {} does not exist, exiting...
diff --git a/HGWaveNet/output/dblp/HGWaveNet.log b/HGWaveNet/output/dblp/HGWaveNet.log
new file mode 100644
index 0000000000000000000000000000000000000000..f3c70b3e06cd56b0e4cb2019ebc23b7ee13a2a40
--- /dev/null
+++ b/HGWaveNet/output/dblp/HGWaveNet.log
@@ -0,0 +1,20064 @@
+[2024-01-04 00:59:43,186 INFO] loading dblp ...
+[2024-01-04 00:59:43,305 INFO] fixed random seed
+[2024-01-04 00:59:43,305 INFO] computing spatial dilated edge list ...
+[2024-01-04 00:59:51,054 INFO] ==================================================
+[2024-01-04 00:59:51,054 INFO] Epoch:1, Loss:2.3580, Time:7.572
+[2024-01-04 00:59:51,054 INFO] Epoch:1, Train, AUC:0.5934, AP:0.5727, new AUC:0.6195, new AP:0.5934
+[2024-01-04 00:59:51,054 INFO] Epoch:1, Test, AUC:0.5738, AP:0.5723, new AUC:0.5662, new AP:0.5552
+[2024-01-04 01:00:00,568 INFO] ==================================================
+[2024-01-04 01:00:00,577 INFO] Epoch:2, Loss:2.0270, Time:9.523
+[2024-01-04 01:00:00,577 INFO] Epoch:2, Train, AUC:0.5614, AP:0.5852, new AUC:0.5513, new AP:0.5899
+[2024-01-04 01:00:00,577 INFO] Epoch:2, Test, AUC:0.5291, AP:0.5407, new AUC:0.5127, new AP:0.5245
+[2024-01-04 01:00:09,732 INFO] ==================================================
+[2024-01-04 01:00:09,732 INFO] Epoch:3, Loss:1.7407, Time:9.155
+[2024-01-04 01:00:09,732 INFO] Epoch:3, Train, AUC:0.6393, AP:0.6093, new AUC:0.6578, new AP:0.6533
+[2024-01-04 01:00:09,732 INFO] Epoch:3, Test, AUC:0.5797, AP:0.5691, new AUC:0.5451, new AP:0.5443
+[2024-01-04 01:00:18,904 INFO] ==================================================
+[2024-01-04 01:00:18,919 INFO] Epoch:4, Loss:1.5831, Time:9.188
+[2024-01-04 01:00:18,919 INFO] Epoch:4, Train, AUC:0.7294, AP:0.7107, new AUC:0.7329, new AP:0.6886
+[2024-01-04 01:00:18,919 INFO] Epoch:4, Test, AUC:0.6312, AP:0.6208, new AUC:0.5896, new AP:0.5745
+[2024-01-04 01:00:26,664 INFO] ==================================================
+[2024-01-04 01:00:26,664 INFO] Epoch:5, Loss:1.4157, Time:7.745
+[2024-01-04 01:00:26,664 INFO] Epoch:5, Train, AUC:0.7917, AP:0.7427, new AUC:0.7691, new AP:0.7234
+[2024-01-04 01:00:26,664 INFO] Epoch:5, Test, AUC:0.6939, AP:0.6730, new AUC:0.6375, new AP:0.6256
+[2024-01-04 01:00:34,153 INFO] ==================================================
+[2024-01-04 01:00:34,153 INFO] Epoch:6, Loss:1.3042, Time:7.488
+[2024-01-04 01:00:34,153 INFO] Epoch:6, Train, AUC:0.8474, AP:0.8086, new AUC:0.8225, new AP:0.7935
+[2024-01-04 01:00:34,153 INFO] Epoch:6, Test, AUC:0.7469, AP:0.7311, new AUC:0.6710, new AP:0.6592
+[2024-01-04 01:00:41,977 INFO] ==================================================
+[2024-01-04 01:00:41,977 INFO] Epoch:7, Loss:1.2273, Time:7.824
+[2024-01-04 01:00:41,978 INFO] Epoch:7, Train, AUC:0.8647, AP:0.8176, new AUC:0.8424, new AP:0.7964
+[2024-01-04 01:00:41,978 INFO] Epoch:7, Test, AUC:0.7701, AP:0.7583, new AUC:0.7017, new AP:0.6901
+[2024-01-04 01:00:51,587 INFO] ==================================================
+[2024-01-04 01:00:51,587 INFO] Epoch:8, Loss:1.1780, Time:9.609
+[2024-01-04 01:00:51,587 INFO] Epoch:8, Train, AUC:0.8885, AP:0.8432, new AUC:0.8604, new AP:0.8267
+[2024-01-04 01:00:51,587 INFO] Epoch:8, Test, AUC:0.7839, AP:0.7763, new AUC:0.7183, new AP:0.7044
+[2024-01-04 01:01:01,774 INFO] ==================================================
+[2024-01-04 01:01:01,774 INFO] Epoch:9, Loss:1.1074, Time:10.188
+[2024-01-04 01:01:01,782 INFO] Epoch:9, Train, AUC:0.9093, AP:0.8810, new AUC:0.8900, new AP:0.8595
+[2024-01-04 01:01:01,782 INFO] Epoch:9, Test, AUC:0.7984, AP:0.7960, new AUC:0.7289, new AP:0.7116
+[2024-01-04 01:01:12,269 INFO] ==================================================
+[2024-01-04 01:01:12,269 INFO] Epoch:10, Loss:1.0810, Time:10.487
+[2024-01-04 01:01:12,270 INFO] Epoch:10, Train, AUC:0.9207, AP:0.8915, new AUC:0.8975, new AP:0.8624
+[2024-01-04 01:01:12,270 INFO] Epoch:10, Test, AUC:0.8063, AP:0.8043, new AUC:0.7363, new AP:0.7202
+[2024-01-04 01:01:22,855 INFO] ==================================================
+[2024-01-04 01:01:22,855 INFO] Epoch:11, Loss:1.0527, Time:10.585
+[2024-01-04 01:01:22,856 INFO] Epoch:11, Train, AUC:0.9336, AP:0.9087, new AUC:0.9112, new AP:0.8858
+[2024-01-04 01:01:22,856 INFO] Epoch:11, Test, AUC:0.8144, AP:0.8169, new AUC:0.7468, new AP:0.7424
+[2024-01-04 01:01:33,335 INFO] ==================================================
+[2024-01-04 01:01:33,335 INFO] Epoch:12, Loss:1.0144, Time:10.479
+[2024-01-04 01:01:33,335 INFO] Epoch:12, Train, AUC:0.9428, AP:0.9244, new AUC:0.9124, new AP:0.8870
+[2024-01-04 01:01:33,335 INFO] Epoch:12, Test, AUC:0.8222, AP:0.8277, new AUC:0.7517, new AP:0.7553
+[2024-01-04 01:01:43,952 INFO] ==================================================
+[2024-01-04 01:01:43,952 INFO] Epoch:13, Loss:1.0033, Time:10.617
+[2024-01-04 01:01:43,952 INFO] Epoch:13, Train, AUC:0.9436, AP:0.9277, new AUC:0.9121, new AP:0.8900
+[2024-01-04 01:01:43,953 INFO] Epoch:13, Test, AUC:0.8262, AP:0.8295, new AUC:0.7595, new AP:0.7673
+[2024-01-04 01:01:54,469 INFO] ==================================================
+[2024-01-04 01:01:54,469 INFO] Epoch:14, Loss:1.0069, Time:10.516
+[2024-01-04 01:01:54,469 INFO] Epoch:14, Train, AUC:0.9483, AP:0.9316, new AUC:0.9199, new AP:0.8989
+[2024-01-04 01:01:54,469 INFO] Epoch:14, Test, AUC:0.8274, AP:0.8269, new AUC:0.7640, new AP:0.7679
+[2024-01-04 01:02:05,546 INFO] ==================================================
+[2024-01-04 01:02:05,546 INFO] Epoch:15, Loss:0.9607, Time:11.077
+[2024-01-04 01:02:05,546 INFO] Epoch:15, Train, AUC:0.9599, AP:0.9477, new AUC:0.9294, new AP:0.9081
+[2024-01-04 01:02:05,546 INFO] Epoch:15, Test, AUC:0.8356, AP:0.8334, new AUC:0.7724, new AP:0.7720
+[2024-01-04 01:02:16,170 INFO] ==================================================
+[2024-01-04 01:02:16,171 INFO] Epoch:16, Loss:0.9444, Time:10.624
+[2024-01-04 01:02:16,171 INFO] Epoch:16, Train, AUC:0.9714, AP:0.9662, new AUC:0.9335, new AP:0.9137
+[2024-01-04 01:02:16,171 INFO] Epoch:16, Test, AUC:0.8403, AP:0.8409, new AUC:0.7782, new AP:0.7756
+[2024-01-04 01:02:26,472 INFO] ==================================================
+[2024-01-04 01:02:26,472 INFO] Epoch:17, Loss:0.9307, Time:10.301
+[2024-01-04 01:02:26,472 INFO] Epoch:17, Train, AUC:0.9734, AP:0.9681, new AUC:0.9351, new AP:0.9163
+[2024-01-04 01:02:26,472 INFO] Epoch:17, Test, AUC:0.8423, AP:0.8506, new AUC:0.7750, new AP:0.7727
+[2024-01-04 01:02:35,254 INFO] ==================================================
+[2024-01-04 01:02:35,262 INFO] Epoch:18, Loss:0.9258, Time:8.790
+[2024-01-04 01:02:35,262 INFO] Epoch:18, Train, AUC:0.9739, AP:0.9675, new AUC:0.9381, new AP:0.9180
+[2024-01-04 01:02:35,262 INFO] Epoch:18, Test, AUC:0.8428, AP:0.8569, new AUC:0.7700, new AP:0.7690
+[2024-01-04 01:02:42,336 INFO] ==================================================
+[2024-01-04 01:02:42,336 INFO] Epoch:19, Loss:0.9206, Time:7.074
+[2024-01-04 01:02:42,336 INFO] Epoch:19, Train, AUC:0.9772, AP:0.9713, new AUC:0.9458, new AP:0.9247
+[2024-01-04 01:02:42,337 INFO] Epoch:19, Test, AUC:0.8454, AP:0.8606, new AUC:0.7722, new AP:0.7702
+[2024-01-04 01:02:51,237 INFO] ==================================================
+[2024-01-04 01:02:51,237 INFO] Epoch:20, Loss:0.9141, Time:8.900
+[2024-01-04 01:02:51,237 INFO] Epoch:20, Train, AUC:0.9800, AP:0.9761, new AUC:0.9504, new AP:0.9277
+[2024-01-04 01:02:51,237 INFO] Epoch:20, Test, AUC:0.8503, AP:0.8657, new AUC:0.7798, new AP:0.7779
+[2024-01-04 01:02:59,336 INFO] ==================================================
+[2024-01-04 01:02:59,336 INFO] Epoch:21, Loss:0.8974, Time:8.100
+[2024-01-04 01:02:59,336 INFO] Epoch:21, Train, AUC:0.9804, AP:0.9767, new AUC:0.9495, new AP:0.9276
+[2024-01-04 01:02:59,336 INFO] Epoch:21, Test, AUC:0.8529, AP:0.8682, new AUC:0.7827, new AP:0.7834
+[2024-01-04 01:03:09,053 INFO] ==================================================
+[2024-01-04 01:03:09,053 INFO] Epoch:22, Loss:0.8705, Time:9.717
+[2024-01-04 01:03:09,053 INFO] Epoch:22, Train, AUC:0.9819, AP:0.9781, new AUC:0.9528, new AP:0.9297
+[2024-01-04 01:03:09,053 INFO] Epoch:22, Test, AUC:0.8560, AP:0.8730, new AUC:0.7859, new AP:0.7892
+[2024-01-04 01:03:18,019 INFO] ==================================================
+[2024-01-04 01:03:18,019 INFO] Epoch:23, Loss:0.8864, Time:8.967
+[2024-01-04 01:03:18,019 INFO] Epoch:23, Train, AUC:0.9834, AP:0.9814, new AUC:0.9568, new AP:0.9383
+[2024-01-04 01:03:18,019 INFO] Epoch:23, Test, AUC:0.8574, AP:0.8747, new AUC:0.7892, new AP:0.7981
+[2024-01-04 01:03:26,535 INFO] ==================================================
+[2024-01-04 01:03:26,536 INFO] Epoch:24, Loss:0.8810, Time:8.517
+[2024-01-04 01:03:26,536 INFO] Epoch:24, Train, AUC:0.9841, AP:0.9834, new AUC:0.9581, new AP:0.9400
+[2024-01-04 01:03:26,536 INFO] Epoch:24, Test, AUC:0.8571, AP:0.8762, new AUC:0.7874, new AP:0.7959
+[2024-01-04 01:03:35,969 INFO] ==================================================
+[2024-01-04 01:03:35,969 INFO] Epoch:25, Loss:0.8619, Time:9.433
+[2024-01-04 01:03:35,969 INFO] Epoch:25, Train, AUC:0.9840, AP:0.9828, new AUC:0.9598, new AP:0.9443
+[2024-01-04 01:03:35,969 INFO] Epoch:25, Test, AUC:0.8579, AP:0.8781, new AUC:0.7855, new AP:0.7952
+[2024-01-04 01:03:45,353 INFO] ==================================================
+[2024-01-04 01:03:45,353 INFO] Epoch:26, Loss:0.8541, Time:9.383
+[2024-01-04 01:03:45,353 INFO] Epoch:26, Train, AUC:0.9851, AP:0.9839, new AUC:0.9635, new AP:0.9508
+[2024-01-04 01:03:45,353 INFO] Epoch:26, Test, AUC:0.8621, AP:0.8823, new AUC:0.7899, new AP:0.8041
+[2024-01-04 01:03:54,986 INFO] ==================================================
+[2024-01-04 01:03:54,986 INFO] Epoch:27, Loss:0.8528, Time:9.633
+[2024-01-04 01:03:54,986 INFO] Epoch:27, Train, AUC:0.9837, AP:0.9815, new AUC:0.9656, new AP:0.9550
+[2024-01-04 01:03:54,986 INFO] Epoch:27, Test, AUC:0.8643, AP:0.8839, new AUC:0.7932, new AP:0.8070
+[2024-01-04 01:04:03,986 INFO] ==================================================
+[2024-01-04 01:04:03,986 INFO] Epoch:28, Loss:0.8524, Time:9.000
+[2024-01-04 01:04:03,986 INFO] Epoch:28, Train, AUC:0.9834, AP:0.9798, new AUC:0.9673, new AP:0.9561
+[2024-01-04 01:04:03,986 INFO] Epoch:28, Test, AUC:0.8643, AP:0.8842, new AUC:0.7954, new AP:0.8119
+[2024-01-04 01:04:12,869 INFO] ==================================================
+[2024-01-04 01:04:12,869 INFO] Epoch:29, Loss:0.8397, Time:8.883
+[2024-01-04 01:04:12,869 INFO] Epoch:29, Train, AUC:0.9844, AP:0.9810, new AUC:0.9688, new AP:0.9581
+[2024-01-04 01:04:12,869 INFO] Epoch:29, Test, AUC:0.8680, AP:0.8866, new AUC:0.8035, new AP:0.8163
+[2024-01-04 01:04:21,781 INFO] ==================================================
+[2024-01-04 01:04:21,782 INFO] Epoch:30, Loss:0.8370, Time:8.913
+[2024-01-04 01:04:21,782 INFO] Epoch:30, Train, AUC:0.9855, AP:0.9822, new AUC:0.9712, new AP:0.9624
+[2024-01-04 01:04:21,782 INFO] Epoch:30, Test, AUC:0.8719, AP:0.8894, new AUC:0.8080, new AP:0.8206
+[2024-01-04 01:04:31,059 INFO] ==================================================
+[2024-01-04 01:04:31,059 INFO] Epoch:31, Loss:0.8371, Time:9.277
+[2024-01-04 01:04:31,059 INFO] Epoch:31, Train, AUC:0.9868, AP:0.9847, new AUC:0.9725, new AP:0.9657
+[2024-01-04 01:04:31,060 INFO] Epoch:31, Test, AUC:0.8702, AP:0.8891, new AUC:0.8056, new AP:0.8217
+[2024-01-04 01:04:39,486 INFO] ==================================================
+[2024-01-04 01:04:39,486 INFO] Epoch:32, Loss:0.8305, Time:8.425
+[2024-01-04 01:04:39,486 INFO] Epoch:32, Train, AUC:0.9866, AP:0.9853, new AUC:0.9689, new AP:0.9613
+[2024-01-04 01:04:39,486 INFO] Epoch:32, Test, AUC:0.8697, AP:0.8890, new AUC:0.8034, new AP:0.8194
+[2024-01-04 01:04:48,723 INFO] ==================================================
+[2024-01-04 01:04:48,723 INFO] Epoch:33, Loss:0.8278, Time:9.237
+[2024-01-04 01:04:48,724 INFO] Epoch:33, Train, AUC:0.9868, AP:0.9857, new AUC:0.9704, new AP:0.9613
+[2024-01-04 01:04:48,724 INFO] Epoch:33, Test, AUC:0.8723, AP:0.8914, new AUC:0.8061, new AP:0.8207
+[2024-01-04 01:04:58,192 INFO] ==================================================
+[2024-01-04 01:04:58,192 INFO] Epoch:34, Loss:0.8231, Time:9.468
+[2024-01-04 01:04:58,192 INFO] Epoch:34, Train, AUC:0.9874, AP:0.9864, new AUC:0.9720, new AP:0.9646
+[2024-01-04 01:04:58,192 INFO] Epoch:34, Test, AUC:0.8760, AP:0.8950, new AUC:0.8095, new AP:0.8235
+[2024-01-04 01:05:06,632 INFO] ==================================================
+[2024-01-04 01:05:06,632 INFO] Epoch:35, Loss:0.8291, Time:8.439
+[2024-01-04 01:05:06,633 INFO] Epoch:35, Train, AUC:0.9877, AP:0.9868, new AUC:0.9717, new AP:0.9640
+[2024-01-04 01:05:06,633 INFO] Epoch:35, Test, AUC:0.8760, AP:0.8956, new AUC:0.8105, new AP:0.8277
+[2024-01-04 01:05:16,520 INFO] ==================================================
+[2024-01-04 01:05:16,520 INFO] Epoch:36, Loss:0.8251, Time:9.888
+[2024-01-04 01:05:16,520 INFO] Epoch:36, Train, AUC:0.9868, AP:0.9849, new AUC:0.9735, new AP:0.9651
+[2024-01-04 01:05:16,520 INFO] Epoch:36, Test, AUC:0.8727, AP:0.8928, new AUC:0.8061, new AP:0.8236
+[2024-01-04 01:05:25,536 INFO] ==================================================
+[2024-01-04 01:05:25,536 INFO] Epoch:37, Loss:0.8227, Time:9.015
+[2024-01-04 01:05:25,536 INFO] Epoch:37, Train, AUC:0.9870, AP:0.9842, new AUC:0.9737, new AP:0.9646
+[2024-01-04 01:05:25,536 INFO] Epoch:37, Test, AUC:0.8751, AP:0.8950, new AUC:0.8070, new AP:0.8240
+[2024-01-04 01:05:35,011 INFO] ==================================================
+[2024-01-04 01:05:35,011 INFO] Epoch:38, Loss:0.8138, Time:9.475
+[2024-01-04 01:05:35,011 INFO] Epoch:38, Train, AUC:0.9881, AP:0.9850, new AUC:0.9760, new AP:0.9681
+[2024-01-04 01:05:35,011 INFO] Epoch:38, Test, AUC:0.8744, AP:0.8947, new AUC:0.8038, new AP:0.8223
+[2024-01-04 01:05:45,827 INFO] ==================================================
+[2024-01-04 01:05:45,827 INFO] Epoch:39, Loss:0.8083, Time:10.816
+[2024-01-04 01:05:45,827 INFO] Epoch:39, Train, AUC:0.9887, AP:0.9859, new AUC:0.9760, new AP:0.9639
+[2024-01-04 01:05:45,827 INFO] Epoch:39, Test, AUC:0.8738, AP:0.8955, new AUC:0.8012, new AP:0.8202
+[2024-01-04 01:05:56,520 INFO] ==================================================
+[2024-01-04 01:05:56,520 INFO] Epoch:40, Loss:0.8116, Time:10.693
+[2024-01-04 01:05:56,520 INFO] Epoch:40, Train, AUC:0.9875, AP:0.9842, new AUC:0.9763, new AP:0.9679
+[2024-01-04 01:05:56,520 INFO] Epoch:40, Test, AUC:0.8739, AP:0.8973, new AUC:0.8005, new AP:0.8222
+[2024-01-04 01:06:08,077 INFO] ==================================================
+[2024-01-04 01:06:08,077 INFO] Epoch:41, Loss:0.8194, Time:11.555
+[2024-01-04 01:06:08,077 INFO] Epoch:41, Train, AUC:0.9878, AP:0.9855, new AUC:0.9769, new AP:0.9662
+[2024-01-04 01:06:08,078 INFO] Epoch:41, Test, AUC:0.8760, AP:0.8999, new AUC:0.8033, new AP:0.8249
+[2024-01-04 01:06:17,650 INFO] ==================================================
+[2024-01-04 01:06:17,650 INFO] Epoch:42, Loss:0.8030, Time:9.573
+[2024-01-04 01:06:17,650 INFO] Epoch:42, Train, AUC:0.9890, AP:0.9880, new AUC:0.9768, new AP:0.9606
+[2024-01-04 01:06:17,650 INFO] Epoch:42, Test, AUC:0.8781, AP:0.9018, new AUC:0.8069, new AP:0.8265
+[2024-01-04 01:06:27,882 INFO] ==================================================
+[2024-01-04 01:06:27,882 INFO] Epoch:43, Loss:0.8122, Time:10.232
+[2024-01-04 01:06:27,882 INFO] Epoch:43, Train, AUC:0.9899, AP:0.9895, new AUC:0.9773, new AP:0.9623
+[2024-01-04 01:06:27,882 INFO] Epoch:43, Test, AUC:0.8775, AP:0.9010, new AUC:0.8056, new AP:0.8255
+[2024-01-04 01:06:38,691 INFO] ==================================================
+[2024-01-04 01:06:38,691 INFO] Epoch:44, Loss:0.8002, Time:10.809
+[2024-01-04 01:06:38,691 INFO] Epoch:44, Train, AUC:0.9909, AP:0.9906, new AUC:0.9782, new AP:0.9669
+[2024-01-04 01:06:38,691 INFO] Epoch:44, Test, AUC:0.8771, AP:0.9014, new AUC:0.8029, new AP:0.8224
+[2024-01-04 01:06:48,038 INFO] ==================================================
+[2024-01-04 01:06:48,038 INFO] Epoch:45, Loss:0.7986, Time:9.347
+[2024-01-04 01:06:48,038 INFO] Epoch:45, Train, AUC:0.9918, AP:0.9914, new AUC:0.9798, new AP:0.9735
+[2024-01-04 01:06:48,038 INFO] Epoch:45, Test, AUC:0.8749, AP:0.9005, new AUC:0.7988, new AP:0.8199
+[2024-01-04 01:06:58,432 INFO] ==================================================
+[2024-01-04 01:06:58,432 INFO] Epoch:46, Loss:0.7964, Time:10.394
+[2024-01-04 01:06:58,432 INFO] Epoch:46, Train, AUC:0.9917, AP:0.9912, new AUC:0.9804, new AP:0.9745
+[2024-01-04 01:06:58,432 INFO] Epoch:46, Test, AUC:0.8776, AP:0.9035, new AUC:0.8015, new AP:0.8225
+[2024-05-21 11:29:51,646 INFO] loading dblp ...
+[2024-05-21 11:29:51,828 INFO] fixed random seed
+[2024-05-21 11:29:51,828 INFO] computing spatial dilated edge list ...
+[2024-05-21 11:29:58,269 INFO] ==================================================
+[2024-05-21 11:29:58,284 INFO] Epoch:1, Loss:2.3285, Time:6.299
+[2024-05-21 11:29:58,284 INFO] Epoch:1, Train, AUC:0.5371, AP:0.5473, new AUC:0.5137, new AP:0.5250
+[2024-05-21 11:29:58,284 INFO] Epoch:1, Test, AUC:0.5045, AP:0.5205, new AUC:0.5194, new AP:0.5228
+[2024-05-21 11:30:07,118 INFO] ==================================================
+[2024-05-21 11:30:07,118 INFO] Epoch:2, Loss:1.9518, Time:8.834
+[2024-05-21 11:30:07,118 INFO] Epoch:2, Train, AUC:0.5640, AP:0.5962, new AUC:0.5822, new AP:0.6181
+[2024-05-21 11:30:07,118 INFO] Epoch:2, Test, AUC:0.5309, AP:0.5746, new AUC:0.5310, new AP:0.5445
+[2024-05-21 11:30:15,512 INFO] ==================================================
+[2024-05-21 11:30:15,512 INFO] Epoch:3, Loss:1.9535, Time:8.395
+[2024-05-21 11:30:15,512 INFO] Epoch:3, Train, AUC:0.6420, AP:0.6629, new AUC:0.6332, new AP:0.6347
+[2024-05-21 11:30:15,512 INFO] Epoch:3, Test, AUC:0.5940, AP:0.6161, new AUC:0.5684, new AP:0.5804
+[2024-05-21 11:30:25,000 INFO] ==================================================
+[2024-05-21 11:30:25,000 INFO] Epoch:4, Loss:1.6986, Time:9.488
+[2024-05-21 11:30:25,000 INFO] Epoch:4, Train, AUC:0.7377, AP:0.7413, new AUC:0.7181, new AP:0.7093
+[2024-05-21 11:30:25,000 INFO] Epoch:4, Test, AUC:0.6338, AP:0.6490, new AUC:0.5861, new AP:0.5801
+[2024-05-21 11:30:34,270 INFO] ==================================================
+[2024-05-21 11:30:34,270 INFO] Epoch:5, Loss:1.5164, Time:9.269
+[2024-05-21 11:30:34,270 INFO] Epoch:5, Train, AUC:0.7627, AP:0.7363, new AUC:0.7761, new AP:0.7362
+[2024-05-21 11:30:34,270 INFO] Epoch:5, Test, AUC:0.6979, AP:0.6857, new AUC:0.6422, new AP:0.6192
+[2024-05-21 11:30:43,622 INFO] ==================================================
+[2024-05-21 11:30:43,622 INFO] Epoch:6, Loss:1.3866, Time:9.353
+[2024-05-21 11:30:43,622 INFO] Epoch:6, Train, AUC:0.8319, AP:0.8032, new AUC:0.8210, new AP:0.7733
+[2024-05-21 11:30:43,622 INFO] Epoch:6, Test, AUC:0.7522, AP:0.7465, new AUC:0.6820, new AP:0.6711
+[2024-05-21 11:30:53,057 INFO] ==================================================
+[2024-05-21 11:30:53,057 INFO] Epoch:7, Loss:1.3008, Time:9.433
+[2024-05-21 11:30:53,057 INFO] Epoch:7, Train, AUC:0.8650, AP:0.8250, new AUC:0.8498, new AP:0.8069
+[2024-05-21 11:30:53,057 INFO] Epoch:7, Test, AUC:0.7720, AP:0.7723, new AUC:0.7043, new AP:0.6994
+[2024-05-21 11:31:04,812 INFO] ==================================================
+[2024-05-21 11:31:04,812 INFO] Epoch:8, Loss:1.1975, Time:11.756
+[2024-05-21 11:31:04,812 INFO] Epoch:8, Train, AUC:0.8959, AP:0.8711, new AUC:0.8649, new AP:0.8098
+[2024-05-21 11:31:04,812 INFO] Epoch:8, Test, AUC:0.7870, AP:0.7819, new AUC:0.7229, new AP:0.7104
+[2024-05-21 11:31:16,864 INFO] ==================================================
+[2024-05-21 11:31:16,864 INFO] Epoch:9, Loss:1.1457, Time:12.052
+[2024-05-21 11:31:16,864 INFO] Epoch:9, Train, AUC:0.9064, AP:0.8858, new AUC:0.8772, new AP:0.8330
+[2024-05-21 11:31:16,864 INFO] Epoch:9, Test, AUC:0.7950, AP:0.7941, new AUC:0.7343, new AP:0.7195
+[2024-05-21 11:31:27,934 INFO] loading dblp ...
+[2024-05-21 11:31:28,059 INFO] fixed random seed
+[2024-05-21 11:31:28,059 INFO] computing spatial dilated edge list ...
+[2024-05-21 11:31:34,327 INFO] ==================================================
+[2024-05-21 11:31:34,327 INFO] Epoch:1, Loss:2.5215, Time:6.096
+[2024-05-21 11:31:34,327 INFO] Epoch:1, Train, AUC:0.7363, AP:0.7118, new AUC:0.6911, new AP:0.6553
+[2024-05-21 11:31:34,327 INFO] Epoch:1, Test, AUC:0.6711, AP:0.6584, new AUC:0.5968, new AP:0.5770
+[2024-05-21 11:31:45,913 INFO] ==================================================
+[2024-05-21 11:31:45,913 INFO] Epoch:2, Loss:2.3250, Time:11.586
+[2024-05-21 11:31:45,913 INFO] Epoch:2, Train, AUC:0.7349, AP:0.6852, new AUC:0.7179, new AP:0.6757
+[2024-05-21 11:31:45,913 INFO] Epoch:2, Test, AUC:0.6726, AP:0.6507, new AUC:0.6151, new AP:0.5941
+[2024-05-21 11:32:02,939 INFO] ==================================================
+[2024-05-21 11:32:02,939 INFO] Epoch:3, Loss:2.0820, Time:17.026
+[2024-05-21 11:32:02,939 INFO] Epoch:3, Train, AUC:0.7226, AP:0.6676, new AUC:0.7083, new AP:0.6513
+[2024-05-21 11:32:02,939 INFO] Epoch:3, Test, AUC:0.6531, AP:0.6166, new AUC:0.6183, new AP:0.5911
+[2024-05-21 11:32:16,839 INFO] ==================================================
+[2024-05-21 11:32:16,839 INFO] Epoch:4, Loss:1.7602, Time:13.900
+[2024-05-21 11:32:16,839 INFO] Epoch:4, Train, AUC:0.7106, AP:0.6692, new AUC:0.7024, new AP:0.6514
+[2024-05-21 11:32:16,854 INFO] Epoch:4, Test, AUC:0.6625, AP:0.6303, new AUC:0.6176, new AP:0.5895
+[2024-05-21 11:32:31,065 INFO] ==================================================
+[2024-05-21 11:32:31,066 INFO] Epoch:5, Loss:1.5894, Time:14.212
+[2024-05-21 11:32:31,066 INFO] Epoch:5, Train, AUC:0.7240, AP:0.6989, new AUC:0.7841, new AP:0.7532
+[2024-05-21 11:32:31,066 INFO] Epoch:5, Test, AUC:0.6814, AP:0.6485, new AUC:0.6441, new AP:0.6099
+[2024-05-21 11:32:43,238 INFO] ==================================================
+[2024-05-21 11:32:43,238 INFO] Epoch:6, Loss:1.4280, Time:12.171
+[2024-05-21 11:32:43,238 INFO] Epoch:6, Train, AUC:0.7845, AP:0.7426, new AUC:0.8064, new AP:0.7733
+[2024-05-21 11:32:43,238 INFO] Epoch:6, Test, AUC:0.7214, AP:0.6910, new AUC:0.6541, new AP:0.6289
+[2024-05-21 11:32:58,164 INFO] ==================================================
+[2024-05-21 11:32:58,164 INFO] Epoch:7, Loss:1.3508, Time:14.926
+[2024-05-21 11:32:58,164 INFO] Epoch:7, Train, AUC:0.7907, AP:0.7504, new AUC:0.7797, new AP:0.7302
+[2024-05-21 11:32:58,164 INFO] Epoch:7, Test, AUC:0.7225, AP:0.6789, new AUC:0.6655, new AP:0.6321
+[2024-05-21 11:33:11,342 INFO] ==================================================
+[2024-05-21 11:33:11,342 INFO] Epoch:8, Loss:1.3214, Time:13.178
+[2024-05-21 11:33:11,342 INFO] Epoch:8, Train, AUC:0.8148, AP:0.7750, new AUC:0.8196, new AP:0.7621
+[2024-05-21 11:33:11,342 INFO] Epoch:8, Test, AUC:0.7599, AP:0.7219, new AUC:0.6885, new AP:0.6583
+[2024-05-21 11:33:27,316 INFO] ==================================================
+[2024-05-21 11:33:27,316 INFO] Epoch:9, Loss:1.2465, Time:15.974
+[2024-05-21 11:33:27,316 INFO] Epoch:9, Train, AUC:0.8281, AP:0.7873, new AUC:0.8355, new AP:0.7784
+[2024-05-21 11:33:27,316 INFO] Epoch:9, Test, AUC:0.7751, AP:0.7499, new AUC:0.7037, new AP:0.6753
+[2024-05-21 11:33:43,512 INFO] ==================================================
+[2024-05-21 11:33:43,512 INFO] Epoch:10, Loss:1.2103, Time:16.197
+[2024-05-21 11:33:43,512 INFO] Epoch:10, Train, AUC:0.8478, AP:0.8075, new AUC:0.8507, new AP:0.7907
+[2024-05-21 11:33:43,512 INFO] Epoch:10, Test, AUC:0.7936, AP:0.7747, new AUC:0.7287, new AP:0.7069
+[2024-05-21 11:33:43,512 INFO] ==================================================
+[2024-05-21 11:33:43,512 INFO] Total time: 135.281
+[2024-05-21 14:28:53,083 INFO] loading dblp ...
+[2024-05-21 14:28:53,208 INFO] fixed random seed
+[2024-05-21 14:28:53,208 INFO] computing spatial dilated edge list ...
+[2024-05-21 14:28:59,809 INFO] ==================================================
+[2024-05-21 14:28:59,809 INFO] Epoch:1, Loss:2.5916, Time:6.413
+[2024-05-21 14:28:59,809 INFO] Epoch:1, Train, AUC:0.5874, AP:0.6215, new AUC:0.5741, new AP:0.6093
+[2024-05-21 14:28:59,809 INFO] Epoch:1, Test, AUC:0.5698, AP:0.5703, new AUC:0.5492, new AP:0.5499
+[2024-05-21 14:29:09,423 INFO] ==================================================
+[2024-05-21 14:29:09,423 INFO] Epoch:2, Loss:2.1802, Time:9.614
+[2024-05-21 14:29:09,423 INFO] Epoch:2, Train, AUC:0.6052, AP:0.6061, new AUC:0.5452, new AP:0.5546
+[2024-05-21 14:29:09,423 INFO] Epoch:2, Test, AUC:0.5733, AP:0.5665, new AUC:0.5630, new AP:0.5608
+[2024-05-21 14:32:57,093 INFO] loading dblp ...
+[2024-05-21 14:32:57,218 INFO] fixed random seed
+[2024-05-21 14:32:57,218 INFO] computing spatial dilated edge list ...
+[2024-05-21 14:33:03,674 INFO] ==================================================
+[2024-05-21 14:33:03,674 INFO] Epoch:1, Loss:2.5328, Time:6.268
+[2024-05-21 14:33:03,674 INFO] Epoch:1, Train, AUC:0.6132, AP:0.5948, new AUC:0.5577, new AP:0.5596
+[2024-05-21 14:33:03,674 INFO] Epoch:1, Test, AUC:0.5410, AP:0.5249, new AUC:0.5319, new AP:0.5277
+[2024-05-21 14:33:11,080 INFO] ==================================================
+[2024-05-21 14:33:11,080 INFO] Epoch:2, Loss:2.1433, Time:7.406
+[2024-05-21 14:33:11,080 INFO] Epoch:2, Train, AUC:0.5440, AP:0.5505, new AUC:0.5279, new AP:0.5269
+[2024-05-21 14:33:11,080 INFO] Epoch:2, Test, AUC:0.5166, AP:0.5158, new AUC:0.4870, new AP:0.5044
+[2024-05-21 14:33:26,660 INFO] ==================================================
+[2024-05-21 14:33:26,660 INFO] Epoch:3, Loss:1.9568, Time:15.581
+[2024-05-21 14:33:26,660 INFO] Epoch:3, Train, AUC:0.5894, AP:0.5911, new AUC:0.5775, new AP:0.5728
+[2024-05-21 14:33:26,660 INFO] Epoch:3, Test, AUC:0.5515, AP:0.5461, new AUC:0.5300, new AP:0.5382
+[2024-05-21 15:35:33,256 INFO] fixed random seed
+[2024-05-21 15:35:33,288 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:37:54,303 INFO] fixed random seed
+[2024-05-21 15:37:54,318 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:39:10,544 INFO] fixed random seed
+[2024-05-21 15:39:10,576 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:40:04,713 INFO] fixed random seed
+[2024-05-21 15:40:04,745 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:40:08,936 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:40:14,797 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:40:18,840 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:40:25,864 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:40:35,299 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:40:41,061 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:40:51,300 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:41:00,079 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:41:10,477 INFO] fixed random seed
+[2024-05-21 15:41:10,508 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:41:14,356 INFO] Epoch:1, Snapshot: 0; Loss: 1.3858
+[2024-05-21 15:41:14,778 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:41:20,107 INFO] Epoch:1, Snapshot: 1; Loss: 0.9076
+[2024-05-21 15:41:20,514 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:41:24,420 INFO] Epoch:1, Snapshot: 2; Loss: 0.7274
+[2024-05-21 15:41:24,790 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:41:30,588 INFO] Epoch:1, Snapshot: 3; Loss: 0.7309
+[2024-05-21 15:41:31,586 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:41:37,965 INFO] Epoch:1, Snapshot: 4; Loss: 0.7194
+[2024-05-21 15:41:38,450 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:41:44,046 INFO] Epoch:1, Snapshot: 5; Loss: 0.7084
+[2024-05-21 15:41:44,464 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:41:52,862 INFO] Epoch:1, Snapshot: 6; Loss: 0.7004
+[2024-05-21 15:41:53,703 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:42:00,360 INFO] Epoch:1, Snapshot: 7; Loss: 0.6997
+[2024-05-21 15:42:01,294 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:42:10,882 INFO] Epoch:1, Snapshot: 8; Loss: 0.6971
+[2024-05-21 15:42:11,808 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:42:17,773 INFO] Epoch:1, Snapshot: 9; Loss: 0.6979
+[2024-05-21 15:42:18,726 INFO] computing spatial dilated edge list ...
+[2024-05-21 15:42:29,538 INFO] fixed random seed
+[2024-05-21 15:42:33,338 INFO] Epoch:1, Snapshot: 0; Loss: 2.3465
+[2024-05-21 15:42:38,932 INFO] Epoch:1, Snapshot: 1; Loss: 1.0972
+[2024-05-21 15:42:45,134 INFO] Epoch:1, Snapshot: 2; Loss: 0.8242
+[2024-05-21 15:42:51,308 INFO] Epoch:1, Snapshot: 3; Loss: 0.7476
+[2024-05-21 15:42:56,966 INFO] Epoch:1, Snapshot: 4; Loss: 0.7826
+[2024-05-21 15:43:03,028 INFO] Epoch:1, Snapshot: 5; Loss: 0.7737
+[2024-05-21 15:43:09,548 INFO] Epoch:1, Snapshot: 6; Loss: 0.7170
+[2024-05-21 15:43:15,439 INFO] Epoch:1, Snapshot: 7; Loss: 0.7084
+[2024-05-21 15:43:21,190 INFO] Epoch:1, Snapshot: 8; Loss: 0.7019
+[2024-05-21 15:43:27,926 INFO] Epoch:1, Snapshot: 9; Loss: 0.7075
+[2024-05-21 15:43:33,898 INFO] Epoch:1, Snapshot: 10; Loss: 0.6936
+[2024-05-21 15:43:39,963 INFO] Epoch:1, Snapshot: 11; Loss: 0.7055
+[2024-05-21 15:43:46,182 INFO] Epoch:1, Snapshot: 12; Loss: 0.7014
+[2024-05-21 15:43:52,383 INFO] Epoch:1, Snapshot: 13; Loss: 0.7024
+[2024-05-21 15:43:58,401 INFO] Epoch:1, Snapshot: 14; Loss: 0.6942
+[2024-05-21 15:44:04,447 INFO] Epoch:1, Snapshot: 15; Loss: 0.7072
+[2024-05-21 15:44:10,136 INFO] Epoch:1, Snapshot: 16; Loss: 0.6908
+[2024-05-21 15:44:16,263 INFO] Epoch:1, Snapshot: 17; Loss: 0.6959
+[2024-05-21 15:44:22,156 INFO] Epoch:1, Snapshot: 18; Loss: 0.6946
+[2024-05-21 15:44:28,017 INFO] Epoch:1, Snapshot: 19; Loss: 0.6948
+[2024-05-21 15:44:33,648 INFO] Epoch:1, Snapshot: 20; Loss: 0.6887
+[2024-05-21 15:44:39,475 INFO] Epoch:1, Snapshot: 21; Loss: 0.7018
+[2024-05-21 15:44:45,307 INFO] Epoch:1, Snapshot: 22; Loss: 0.6861
+[2024-05-21 15:44:51,056 INFO] Epoch:1, Snapshot: 23; Loss: 0.6906
+[2024-05-21 15:44:57,199 INFO] Epoch:1, Snapshot: 24; Loss: 0.7000
+[2024-05-21 15:45:02,981 INFO] Epoch:1, Snapshot: 25; Loss: 0.6956
+[2024-05-21 15:45:09,013 INFO] Epoch:1, Snapshot: 26; Loss: 0.7025
+[2024-05-21 15:45:15,045 INFO] Epoch:1, Snapshot: 27; Loss: 0.7053
+[2024-05-21 15:45:20,780 INFO] Epoch:1, Snapshot: 28; Loss: 0.6993
+[2024-05-21 15:45:26,389 INFO] Epoch:1, Snapshot: 29; Loss: 0.6933
+[2024-05-21 15:45:32,124 INFO] Epoch:1, Snapshot: 30; Loss: 0.7002
+[2024-05-21 15:45:38,234 INFO] Epoch:1, Snapshot: 31; Loss: 0.7013
+[2024-05-21 15:45:44,063 INFO] Epoch:1, Snapshot: 32; Loss: 0.6909
+[2024-05-21 15:45:50,235 INFO] Epoch:1, Snapshot: 33; Loss: 0.7048
+[2024-05-21 15:45:56,095 INFO] Epoch:1, Snapshot: 34; Loss: 0.6955
+[2024-05-21 15:46:02,095 INFO] Epoch:1, Snapshot: 35; Loss: 0.6967
+[2024-05-21 15:46:08,359 INFO] Epoch:1, Snapshot: 36; Loss: 0.7093
+[2024-05-21 15:46:14,488 INFO] Epoch:1, Snapshot: 37; Loss: 0.7119
+[2024-05-21 15:46:20,727 INFO] Epoch:1, Snapshot: 38; Loss: 0.7091
+[2024-05-21 15:46:26,555 INFO] Epoch:1, Snapshot: 39; Loss: 0.6970
+[2024-05-21 15:46:32,509 INFO] Epoch:1, Snapshot: 40; Loss: 0.7041
+[2024-05-21 15:46:38,433 INFO] Epoch:1, Snapshot: 41; Loss: 0.6973
+[2024-05-21 15:46:44,434 INFO] Epoch:1, Snapshot: 42; Loss: 0.6983
+[2024-05-21 15:46:50,324 INFO] Epoch:1, Snapshot: 43; Loss: 0.6950
+[2024-05-21 15:46:56,419 INFO] Epoch:1, Snapshot: 44; Loss: 0.7063
+[2024-05-21 15:47:02,579 INFO] Epoch:1, Snapshot: 45; Loss: 0.7067
+[2024-05-21 15:47:08,641 INFO] Epoch:1, Snapshot: 46; Loss: 0.6995
+[2024-05-21 15:47:14,503 INFO] Epoch:1, Snapshot: 47; Loss: 0.6937
+[2024-05-21 15:47:20,770 INFO] Epoch:1, Snapshot: 48; Loss: 0.6940
+[2024-05-21 15:47:26,865 INFO] Epoch:1, Snapshot: 49; Loss: 0.7010
+[2024-05-21 15:47:32,911 INFO] Epoch:1, Snapshot: 50; Loss: 0.6930
+[2024-05-21 15:47:38,960 INFO] Epoch:1, Snapshot: 51; Loss: 0.6952
+[2024-05-21 15:47:44,930 INFO] Epoch:1, Snapshot: 52; Loss: 0.6996
+[2024-05-21 15:47:51,118 INFO] Epoch:1, Snapshot: 53; Loss: 0.6993
+[2024-05-21 15:47:57,359 INFO] Epoch:1, Snapshot: 54; Loss: 0.6928
+[2024-05-21 15:48:03,467 INFO] Epoch:1, Snapshot: 55; Loss: 0.7018
+[2024-05-21 15:48:09,479 INFO] Epoch:1, Snapshot: 56; Loss: 0.6981
+[2024-05-21 15:48:15,573 INFO] Epoch:1, Snapshot: 57; Loss: 0.6991
+[2024-05-21 15:48:21,495 INFO] Epoch:1, Snapshot: 58; Loss: 0.6956
+[2024-05-21 15:48:27,936 INFO] Epoch:1, Snapshot: 59; Loss: 0.7026
+[2024-05-21 15:48:33,982 INFO] Epoch:1, Snapshot: 60; Loss: 0.6979
+[2024-05-21 15:48:40,467 INFO] Epoch:1, Snapshot: 61; Loss: 0.6938
+[2024-05-21 15:48:47,043 INFO] Epoch:1, Snapshot: 62; Loss: 0.6937
+[2024-05-21 15:48:53,670 INFO] Epoch:1, Snapshot: 63; Loss: 0.6969
+[2024-05-21 15:49:00,045 INFO] Epoch:1, Snapshot: 64; Loss: 0.6922
+[2024-05-21 15:49:06,359 INFO] Epoch:1, Snapshot: 65; Loss: 0.6914
+[2024-05-21 15:49:12,671 INFO] Epoch:1, Snapshot: 66; Loss: 0.7053
+[2024-05-21 15:49:18,845 INFO] Epoch:1, Snapshot: 67; Loss: 0.6963
+[2024-05-21 15:49:24,877 INFO] Epoch:1, Snapshot: 68; Loss: 0.6931
+[2024-05-21 15:49:30,971 INFO] Epoch:1, Snapshot: 69; Loss: 0.6946
+[2024-05-21 15:49:37,332 INFO] Epoch:1, Snapshot: 70; Loss: 0.7004
+[2024-05-21 15:49:43,430 INFO] Epoch:1, Snapshot: 71; Loss: 0.6950
+[2024-05-21 15:49:49,505 INFO] Epoch:1, Snapshot: 72; Loss: 0.6915
+[2024-05-21 15:49:55,178 INFO] Epoch:1, Snapshot: 73; Loss: 0.6841
+[2024-05-21 15:49:59,425 INFO] Epoch:1, Snapshot: 74; Loss: 0.6875
+[2024-05-21 15:50:06,082 INFO] Epoch:1, Snapshot: 75; Loss: 0.6905
+[2024-05-21 15:50:12,427 INFO] Epoch:1, Snapshot: 76; Loss: 0.6936
+[2024-05-21 15:50:19,051 INFO] Epoch:1, Snapshot: 77; Loss: 0.6971
+[2024-05-21 15:50:25,747 INFO] Epoch:1, Snapshot: 78; Loss: 0.7031
+[2024-05-21 15:50:32,429 INFO] Epoch:1, Snapshot: 79; Loss: 0.7001
+[2024-05-21 15:50:38,995 INFO] Epoch:1, Snapshot: 80; Loss: 0.6972
+[2024-05-21 15:50:45,933 INFO] Epoch:1, Snapshot: 81; Loss: 0.6999
+[2024-05-21 15:50:52,419 INFO] Epoch:1, Snapshot: 82; Loss: 0.6930
+[2024-05-21 15:50:59,356 INFO] Epoch:1, Snapshot: 83; Loss: 0.7013
+[2024-05-21 15:51:06,089 INFO] Epoch:1, Snapshot: 84; Loss: 0.7009
+[2024-05-21 15:51:12,702 INFO] Epoch:1, Snapshot: 85; Loss: 0.7015
+[2024-05-21 15:51:19,397 INFO] Epoch:1, Snapshot: 86; Loss: 0.6986
+[2024-05-21 15:51:20,799 INFO] Epoch:1, Snapshot:37; F1: 0.0000; Accuracy: 0.4300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:21,689 INFO] Epoch:1, Snapshot:38; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:22,455 INFO] Epoch:1, Snapshot:39; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:23,252 INFO] Epoch:1, Snapshot:40; F1: 0.0000; Accuracy: 0.4790; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:24,018 INFO] Epoch:1, Snapshot:41; F1: 0.0000; Accuracy: 0.5260; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:24,861 INFO] Epoch:1, Snapshot:42; F1: 0.0000; Accuracy: 0.5170; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:25,690 INFO] Epoch:1, Snapshot:43; F1: 0.0000; Accuracy: 0.5400; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:26,503 INFO] Epoch:1, Snapshot:44; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:27,440 INFO] Epoch:1, Snapshot:45; F1: 0.0000; Accuracy: 0.4620; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:28,409 INFO] Epoch:1, Snapshot:46; F1: 0.0000; Accuracy: 0.4970; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:29,175 INFO] Epoch:1, Snapshot:47; F1: 0.0000; Accuracy: 0.5290; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:30,113 INFO] Epoch:1, Snapshot:48; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:31,004 INFO] Epoch:1, Snapshot:49; F1: 0.0000; Accuracy: 0.4900; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:31,832 INFO] Epoch:1, Snapshot:50; F1: 0.0000; Accuracy: 0.5340; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:32,723 INFO] Epoch:1, Snapshot:51; F1: 0.0000; Accuracy: 0.5110; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:33,583 INFO] Epoch:1, Snapshot:52; F1: 0.0000; Accuracy: 0.4840; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:34,505 INFO] Epoch:1, Snapshot:53; F1: 0.0000; Accuracy: 0.4830; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:35,411 INFO] Epoch:1, Snapshot:54; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:36,270 INFO] Epoch:1, Snapshot:55; F1: 0.0000; Accuracy: 0.4670; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:37,130 INFO] Epoch:1, Snapshot:56; F1: 0.0000; Accuracy: 0.4860; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:37,911 INFO] Epoch:1, Snapshot:57; F1: 0.0000; Accuracy: 0.4880; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:38,740 INFO] Epoch:1, Snapshot:58; F1: 0.0000; Accuracy: 0.5030; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:39,694 INFO] Epoch:1, Snapshot:59; F1: 0.0000; Accuracy: 0.4640; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:40,615 INFO] Epoch:1, Snapshot:60; F1: 0.0000; Accuracy: 0.4920; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:41,646 INFO] Epoch:1, Snapshot:61; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:42,646 INFO] Epoch:1, Snapshot:62; F1: 0.0000; Accuracy: 0.5190; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:43,678 INFO] Epoch:1, Snapshot:63; F1: 0.0000; Accuracy: 0.4960; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:44,647 INFO] Epoch:1, Snapshot:64; F1: 0.0000; Accuracy: 0.5300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:45,538 INFO] Epoch:1, Snapshot:65; F1: 0.0000; Accuracy: 0.5310; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:46,584 INFO] Epoch:1, Snapshot:66; F1: 0.0000; Accuracy: 0.4400; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:47,444 INFO] Epoch:1, Snapshot:67; F1: 0.0000; Accuracy: 0.5000; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:48,225 INFO] Epoch:1, Snapshot:68; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:49,116 INFO] Epoch:1, Snapshot:69; F1: 0.0000; Accuracy: 0.5100; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:50,069 INFO] Epoch:1, Snapshot:70; F1: 0.0000; Accuracy: 0.4750; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:50,991 INFO] Epoch:1, Snapshot:71; F1: 0.0000; Accuracy: 0.5080; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:51,898 INFO] Epoch:1, Snapshot:72; F1: 0.0000; Accuracy: 0.5300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:52,636 INFO] Epoch:1, Snapshot:73; F1: 0.0000; Accuracy: 0.5710; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:53,476 INFO] Epoch:1, Snapshot:74; F1: 0.0000; Accuracy: 0.5560; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:54,338 INFO] Epoch:1, Snapshot:75; F1: 0.0000; Accuracy: 0.5390; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:55,117 INFO] Epoch:1, Snapshot:76; F1: 0.0000; Accuracy: 0.5160; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:56,071 INFO] Epoch:1, Snapshot:77; F1: 0.0000; Accuracy: 0.4960; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:56,977 INFO] Epoch:1, Snapshot:78; F1: 0.0000; Accuracy: 0.4560; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:57,884 INFO] Epoch:1, Snapshot:79; F1: 0.0000; Accuracy: 0.4760; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:58,727 INFO] Epoch:1, Snapshot:80; F1: 0.0000; Accuracy: 0.5000; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:51:59,712 INFO] Epoch:1, Snapshot:81; F1: 0.0000; Accuracy: 0.4820; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:52:51,527 INFO] fixed random seed
+[2024-05-21 15:52:55,033 INFO] Epoch:1, Snapshot: 0; Loss: 1.2271
+[2024-05-21 15:53:16,962 INFO] fixed random seed
+[2024-05-21 15:53:20,353 INFO] Epoch:1, Snapshot: 0; Loss: 1.5825
+[2024-05-21 15:53:25,605 INFO] Epoch:1, Snapshot: 1; Loss: 0.8692
+[2024-05-21 15:54:35,197 INFO] fixed random seed
+[2024-05-21 15:54:39,618 INFO] Epoch:1, Snapshot:37; F1: 0.7261; Accuracy: 0.5700; Precision: 0.5700; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 15:54:40,546 INFO] Epoch:1, Snapshot:38; F1: 0.7021; Accuracy: 0.5410; Precision: 0.5410; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 15:54:41,301 INFO] Epoch:1, Snapshot:39; F1: 0.6413; Accuracy: 0.4720; Precision: 0.4720; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 15:54:42,099 INFO] Epoch:1, Snapshot:40; F1: 0.6851; Accuracy: 0.5210; Precision: 0.5210; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 15:54:42,847 INFO] Epoch:1, Snapshot:41; F1: 0.6431; Accuracy: 0.4740; Precision: 0.4740; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 15:54:43,678 INFO] Epoch:1, Snapshot:42; F1: 0.6514; Accuracy: 0.4830; Precision: 0.4830; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 15:54:44,568 INFO] Epoch:1, Snapshot:43; F1: 0.6301; Accuracy: 0.4600; Precision: 0.4600; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 15:54:45,459 INFO] Epoch:1, Snapshot:44; F1: 0.7021; Accuracy: 0.5410; Precision: 0.5410; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 15:54:46,348 INFO] Epoch:1, Snapshot:45; F1: 0.6996; Accuracy: 0.5380; Precision: 0.5380; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 15:54:47,289 INFO] Epoch:1, Snapshot:46; F1: 0.6693; Accuracy: 0.5030; Precision: 0.5030; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 15:54:48,067 INFO] Epoch:1, Snapshot:47; F1: 0.6404; Accuracy: 0.4710; Precision: 0.4710; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 15:54:49,031 INFO] Epoch:1, Snapshot:48; F1: 0.6413; Accuracy: 0.4720; Precision: 0.4720; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 15:54:49,937 INFO] Epoch:1, Snapshot:49; F1: 0.6755; Accuracy: 0.5100; Precision: 0.5100; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 15:54:50,816 INFO] Epoch:1, Snapshot:50; F1: 0.6357; Accuracy: 0.4660; Precision: 0.4660; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 15:54:51,706 INFO] Epoch:1, Snapshot:51; F1: 0.6568; Accuracy: 0.4890; Precision: 0.4890; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 15:54:52,583 INFO] Epoch:1, Snapshot:52; F1: 0.6807; Accuracy: 0.5160; Precision: 0.5160; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:06,637 INFO] fixed random seed
+[2024-05-21 15:55:10,966 INFO] Epoch:1, Snapshot:37; F1: 0.0000; Accuracy: 0.4300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:11,810 INFO] Epoch:1, Snapshot:38; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:12,530 INFO] Epoch:1, Snapshot:39; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:13,374 INFO] Epoch:1, Snapshot:40; F1: 0.0000; Accuracy: 0.4790; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:14,139 INFO] Epoch:1, Snapshot:41; F1: 0.0000; Accuracy: 0.5260; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:15,015 INFO] Epoch:1, Snapshot:42; F1: 0.0000; Accuracy: 0.5170; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:15,812 INFO] Epoch:1, Snapshot:43; F1: 0.0000; Accuracy: 0.5400; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:16,687 INFO] Epoch:1, Snapshot:44; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:17,594 INFO] Epoch:1, Snapshot:45; F1: 0.0000; Accuracy: 0.4620; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:18,515 INFO] Epoch:1, Snapshot:46; F1: 0.0000; Accuracy: 0.4970; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:19,360 INFO] Epoch:1, Snapshot:47; F1: 0.0000; Accuracy: 0.5290; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:20,314 INFO] Epoch:1, Snapshot:48; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:21,205 INFO] Epoch:1, Snapshot:49; F1: 0.0000; Accuracy: 0.4900; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:22,096 INFO] Epoch:1, Snapshot:50; F1: 0.0000; Accuracy: 0.5340; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:22,971 INFO] Epoch:1, Snapshot:51; F1: 0.0000; Accuracy: 0.5110; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:23,847 INFO] Epoch:1, Snapshot:52; F1: 0.0000; Accuracy: 0.4840; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:24,785 INFO] Epoch:1, Snapshot:53; F1: 0.0000; Accuracy: 0.4830; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:25,631 INFO] Epoch:1, Snapshot:54; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:26,520 INFO] Epoch:1, Snapshot:55; F1: 0.0000; Accuracy: 0.4670; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:27,395 INFO] Epoch:1, Snapshot:56; F1: 0.0000; Accuracy: 0.4860; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:28,208 INFO] Epoch:1, Snapshot:57; F1: 0.0000; Accuracy: 0.4880; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:29,068 INFO] Epoch:1, Snapshot:58; F1: 0.0000; Accuracy: 0.5030; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 15:55:30,099 INFO] Epoch:1, Snapshot:59; F1: 0.0000; Accuracy: 0.4640; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:02:51,554 INFO] fixed random seed
+[2024-05-21 16:02:56,106 INFO] Epoch:1, Snapshot:37; F1: 0.0000; Accuracy: 0.4300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:02:56,997 INFO] Epoch:1, Snapshot:38; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:02:57,778 INFO] Epoch:1, Snapshot:39; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:02:58,592 INFO] Epoch:1, Snapshot:40; F1: 0.0000; Accuracy: 0.4790; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:02:59,435 INFO] Epoch:1, Snapshot:41; F1: 0.0000; Accuracy: 0.5260; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:00,357 INFO] Epoch:1, Snapshot:42; F1: 0.0000; Accuracy: 0.5170; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:01,232 INFO] Epoch:1, Snapshot:43; F1: 0.0000; Accuracy: 0.5400; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:02,092 INFO] Epoch:1, Snapshot:44; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:03,014 INFO] Epoch:1, Snapshot:45; F1: 0.0000; Accuracy: 0.4620; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:03,967 INFO] Epoch:1, Snapshot:46; F1: 0.0000; Accuracy: 0.4970; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:04,717 INFO] Epoch:1, Snapshot:47; F1: 0.0000; Accuracy: 0.5290; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:05,686 INFO] Epoch:1, Snapshot:48; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:06,624 INFO] Epoch:1, Snapshot:49; F1: 0.0000; Accuracy: 0.4900; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:07,530 INFO] Epoch:1, Snapshot:50; F1: 0.0000; Accuracy: 0.5340; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:08,422 INFO] Epoch:1, Snapshot:51; F1: 0.0000; Accuracy: 0.5110; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:09,329 INFO] Epoch:1, Snapshot:52; F1: 0.0000; Accuracy: 0.4840; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:10,268 INFO] Epoch:1, Snapshot:53; F1: 0.0000; Accuracy: 0.4830; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:11,096 INFO] Epoch:1, Snapshot:54; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:11,972 INFO] Epoch:1, Snapshot:55; F1: 0.0000; Accuracy: 0.4670; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:12,941 INFO] Epoch:1, Snapshot:56; F1: 0.0000; Accuracy: 0.4860; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:13,753 INFO] Epoch:1, Snapshot:57; F1: 0.0000; Accuracy: 0.4880; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:14,582 INFO] Epoch:1, Snapshot:58; F1: 0.0000; Accuracy: 0.5030; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:15,601 INFO] Epoch:1, Snapshot:59; F1: 0.0000; Accuracy: 0.4640; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:16,584 INFO] Epoch:1, Snapshot:60; F1: 0.0000; Accuracy: 0.4920; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:17,662 INFO] Epoch:1, Snapshot:61; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:18,709 INFO] Epoch:1, Snapshot:62; F1: 0.0000; Accuracy: 0.5190; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:19,804 INFO] Epoch:1, Snapshot:63; F1: 0.0000; Accuracy: 0.4960; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:20,804 INFO] Epoch:1, Snapshot:64; F1: 0.0000; Accuracy: 0.5300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:21,773 INFO] Epoch:1, Snapshot:65; F1: 0.0000; Accuracy: 0.5310; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:22,820 INFO] Epoch:1, Snapshot:66; F1: 0.0000; Accuracy: 0.4400; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:23,696 INFO] Epoch:1, Snapshot:67; F1: 0.0000; Accuracy: 0.5000; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:24,540 INFO] Epoch:1, Snapshot:68; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:25,400 INFO] Epoch:1, Snapshot:69; F1: 0.0000; Accuracy: 0.5100; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:26,354 INFO] Epoch:1, Snapshot:70; F1: 0.0000; Accuracy: 0.4750; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:27,230 INFO] Epoch:1, Snapshot:71; F1: 0.0000; Accuracy: 0.5080; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:28,167 INFO] Epoch:1, Snapshot:72; F1: 0.0000; Accuracy: 0.5300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:03:28,919 INFO] Epoch:1, Snapshot:73; F1: 0.0000; Accuracy: 0.5710; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:04:09,869 INFO] fixed random seed
+[2024-05-21 16:04:14,214 INFO] Epoch:1, Snapshot:37; F1: 0.6910; Accuracy: 0.5520; Precision: 0.5693; Recall: 0.8789; ROC AUC: 0.4988
+[2024-05-21 16:04:15,089 INFO] Epoch:1, Snapshot:38; F1: 0.6614; Accuracy: 0.5260; Precision: 0.5390; Recall: 0.8558; ROC AUC: 0.4965
+[2024-05-21 16:04:15,823 INFO] Epoch:1, Snapshot:39; F1: 0.6157; Accuracy: 0.4820; Precision: 0.4737; Recall: 0.8792; ROC AUC: 0.5031
+[2024-05-21 16:04:16,667 INFO] Epoch:1, Snapshot:40; F1: 0.6448; Accuracy: 0.5010; Precision: 0.5124; Recall: 0.8695; ROC AUC: 0.4848
+[2024-05-21 16:04:17,433 INFO] Epoch:1, Snapshot:41; F1: 0.6221; Accuracy: 0.4910; Precision: 0.4800; Recall: 0.8840; ROC AUC: 0.5104
+[2024-05-21 16:04:18,309 INFO] Epoch:1, Snapshot:42; F1: 0.6220; Accuracy: 0.4810; Precision: 0.4798; Recall: 0.8841; ROC AUC: 0.4943
+[2024-05-21 16:04:19,122 INFO] Epoch:1, Snapshot:43; F1: 0.6098; Accuracy: 0.4830; Precision: 0.4671; Recall: 0.8783; ROC AUC: 0.5123
+[2024-05-21 16:04:19,950 INFO] Epoch:1, Snapshot:44; F1: 0.6662; Accuracy: 0.5250; Precision: 0.5374; Recall: 0.8762; ROC AUC: 0.4936
+[2024-05-21 16:04:20,825 INFO] Epoch:1, Snapshot:45; F1: 0.6667; Accuracy: 0.5250; Precision: 0.5355; Recall: 0.8829; ROC AUC: 0.4956
+[2024-05-21 16:04:21,749 INFO] Epoch:1, Snapshot:46; F1: 0.6445; Accuracy: 0.5080; Precision: 0.5062; Recall: 0.8867; ROC AUC: 0.5057
+[2024-05-21 16:04:22,482 INFO] Epoch:1, Snapshot:47; F1: 0.6093; Accuracy: 0.4730; Precision: 0.4681; Recall: 0.8726; ROC AUC: 0.4949
+[2024-05-21 16:04:23,405 INFO] Epoch:1, Snapshot:48; F1: 0.6226; Accuracy: 0.4920; Precision: 0.4794; Recall: 0.8877; ROC AUC: 0.5130
+[2024-05-21 16:04:24,343 INFO] Epoch:1, Snapshot:49; F1: 0.6407; Accuracy: 0.5020; Precision: 0.5068; Recall: 0.8706; ROC AUC: 0.4945
+[2024-05-21 16:04:25,171 INFO] Epoch:1, Snapshot:50; F1: 0.6048; Accuracy: 0.4680; Precision: 0.4625; Recall: 0.8734; ROC AUC: 0.4938
+[2024-05-21 16:04:26,031 INFO] Epoch:1, Snapshot:51; F1: 0.6381; Accuracy: 0.5020; Precision: 0.4949; Recall: 0.8978; ROC AUC: 0.5105
+[2024-05-21 16:04:26,875 INFO] Epoch:1, Snapshot:52; F1: 0.6601; Accuracy: 0.5170; Precision: 0.5182; Recall: 0.9089; ROC AUC: 0.5040
+[2024-05-21 16:04:27,797 INFO] Epoch:1, Snapshot:53; F1: 0.6695; Accuracy: 0.5350; Precision: 0.5292; Recall: 0.9110; ROC AUC: 0.5218
+[2024-05-21 16:04:28,625 INFO] Epoch:1, Snapshot:54; F1: 0.6128; Accuracy: 0.4870; Precision: 0.4760; Recall: 0.8602; ROC AUC: 0.5068
+[2024-05-21 16:04:29,500 INFO] Epoch:1, Snapshot:55; F1: 0.6605; Accuracy: 0.5210; Precision: 0.5308; Recall: 0.8743; ROC AUC: 0.4960
+[2024-05-21 16:04:30,428 INFO] Epoch:1, Snapshot:56; F1: 0.6458; Accuracy: 0.5020; Precision: 0.5090; Recall: 0.8833; ROC AUC: 0.4910
+[2024-05-21 16:04:31,257 INFO] Epoch:1, Snapshot:57; F1: 0.6519; Accuracy: 0.5140; Precision: 0.5147; Recall: 0.8887; ROC AUC: 0.5048
+[2024-05-21 16:04:32,085 INFO] Epoch:1, Snapshot:58; F1: 0.6488; Accuracy: 0.5160; Precision: 0.5074; Recall: 0.8994; ROC AUC: 0.5183
+[2024-05-21 16:04:33,039 INFO] Epoch:1, Snapshot:59; F1: 0.6709; Accuracy: 0.5350; Precision: 0.5405; Recall: 0.8843; ROC AUC: 0.5079
+[2024-05-21 16:04:33,980 INFO] Epoch:1, Snapshot:60; F1: 0.6289; Accuracy: 0.4890; Precision: 0.4983; Recall: 0.8524; ROC AUC: 0.4831
+[2024-05-21 16:04:35,015 INFO] Epoch:1, Snapshot:61; F1: 0.6223; Accuracy: 0.4840; Precision: 0.4808; Recall: 0.8817; ROC AUC: 0.4978
+[2024-05-21 16:04:36,202 INFO] Epoch:1, Snapshot:62; F1: 0.6298; Accuracy: 0.4980; Precision: 0.4880; Recall: 0.8877; ROC AUC: 0.5123
+[2024-05-21 16:04:37,359 INFO] Epoch:1, Snapshot:63; F1: 0.6391; Accuracy: 0.5020; Precision: 0.5034; Recall: 0.8750; ROC AUC: 0.4990
+[2024-05-21 16:04:38,437 INFO] Epoch:1, Snapshot:64; F1: 0.6024; Accuracy: 0.4640; Precision: 0.4624; Recall: 0.8638; ROC AUC: 0.4866
+[2024-05-21 16:04:39,330 INFO] Epoch:1, Snapshot:65; F1: 0.6165; Accuracy: 0.4900; Precision: 0.4762; Recall: 0.8742; ROC AUC: 0.5124
+[2024-05-21 16:04:40,346 INFO] Epoch:1, Snapshot:66; F1: 0.6788; Accuracy: 0.5410; Precision: 0.5581; Recall: 0.8661; ROC AUC: 0.4967
+[2024-05-21 16:04:41,190 INFO] Epoch:1, Snapshot:67; F1: 0.6377; Accuracy: 0.4990; Precision: 0.4994; Recall: 0.8820; ROC AUC: 0.4990
+[2024-05-21 16:04:42,002 INFO] Epoch:1, Snapshot:68; F1: 0.6300; Accuracy: 0.5020; Precision: 0.4907; Recall: 0.8797; ROC AUC: 0.5151
+[2024-05-21 16:04:42,878 INFO] Epoch:1, Snapshot:69; F1: 0.6304; Accuracy: 0.4910; Precision: 0.4893; Recall: 0.8857; ROC AUC: 0.4987
+[2024-05-21 16:04:43,847 INFO] Epoch:1, Snapshot:70; F1: 0.6514; Accuracy: 0.5120; Precision: 0.5211; Recall: 0.8686; ROC AUC: 0.4932
+[2024-05-21 16:04:44,754 INFO] Epoch:1, Snapshot:71; F1: 0.6364; Accuracy: 0.5040; Precision: 0.4977; Recall: 0.8821; ROC AUC: 0.5100
+[2024-05-21 16:04:45,661 INFO] Epoch:1, Snapshot:72; F1: 0.6012; Accuracy: 0.4640; Precision: 0.4622; Recall: 0.8596; ROC AUC: 0.4864
+[2024-05-21 16:04:46,427 INFO] Epoch:1, Snapshot:73; F1: 0.5847; Accuracy: 0.4560; Precision: 0.4347; Recall: 0.8928; ROC AUC: 0.5103
+[2024-05-21 16:04:47,240 INFO] Epoch:1, Snapshot:74; F1: 0.5805; Accuracy: 0.4420; Precision: 0.4357; Recall: 0.8694; ROC AUC: 0.4850
+[2024-05-21 16:04:48,069 INFO] Epoch:1, Snapshot:75; F1: 0.6116; Accuracy: 0.4730; Precision: 0.4632; Recall: 0.9002; ROC AUC: 0.5039
+[2024-05-21 16:04:48,898 INFO] Epoch:1, Snapshot:76; F1: 0.6086; Accuracy: 0.4700; Precision: 0.4736; Recall: 0.8512; ROC AUC: 0.4818
+[2024-05-21 16:04:49,835 INFO] Epoch:1, Snapshot:77; F1: 0.6334; Accuracy: 0.4930; Precision: 0.4983; Recall: 0.8690; ROC AUC: 0.4900
+[2024-05-21 16:04:50,804 INFO] Epoch:1, Snapshot:78; F1: 0.6728; Accuracy: 0.5340; Precision: 0.5443; Recall: 0.8805; ROC AUC: 0.5006
+[2024-05-21 16:04:51,773 INFO] Epoch:1, Snapshot:79; F1: 0.6434; Accuracy: 0.4990; Precision: 0.5131; Recall: 0.8626; ROC AUC: 0.4807
+[2024-05-21 16:04:52,618 INFO] Epoch:1, Snapshot:80; F1: 0.6348; Accuracy: 0.4960; Precision: 0.4977; Recall: 0.8760; ROC AUC: 0.4960
+[2024-05-21 16:04:53,665 INFO] Epoch:1, Snapshot:81; F1: 0.6458; Accuracy: 0.5030; Precision: 0.5119; Recall: 0.8745; ROC AUC: 0.4891
+[2024-05-21 16:04:54,540 INFO] Epoch:1, Snapshot:82; F1: 0.6173; Accuracy: 0.4880; Precision: 0.4742; Recall: 0.8844; ROC AUC: 0.5125
+[2024-05-21 16:04:55,634 INFO] Epoch:1, Snapshot:83; F1: 0.6610; Accuracy: 0.5200; Precision: 0.5253; Recall: 0.8914; ROC AUC: 0.5005
+[2024-05-21 16:04:56,603 INFO] Epoch:1, Snapshot:84; F1: 0.6500; Accuracy: 0.5110; Precision: 0.5165; Recall: 0.8764; ROC AUC: 0.4974
+[2024-05-21 16:04:57,510 INFO] Epoch:1, Snapshot:85; F1: 0.6504; Accuracy: 0.5120; Precision: 0.5218; Recall: 0.8631; ROC AUC: 0.4927
+[2024-05-21 16:04:58,418 INFO] Epoch:1, Snapshot:86; F1: 0.6335; Accuracy: 0.4920; Precision: 0.4994; Recall: 0.8659; ROC AUC: 0.4867
+[2024-05-21 16:04:59,402 INFO] Epoch:1, Snapshot:87; F1: 0.6114; Accuracy: 0.4660; Precision: 0.4719; Recall: 0.8678; ROC AUC: 0.4785
+[2024-05-21 16:05:00,309 INFO] Epoch:1, Snapshot:88; F1: 0.6286; Accuracy: 0.4860; Precision: 0.4877; Recall: 0.8841; ROC AUC: 0.4923
+[2024-05-21 16:05:01,372 INFO] Epoch:1, Snapshot:89; F1: 0.6695; Accuracy: 0.5250; Precision: 0.5380; Recall: 0.8858; ROC AUC: 0.4910
+[2024-05-21 16:05:02,247 INFO] Epoch:1, Snapshot:90; F1: 0.6163; Accuracy: 0.4770; Precision: 0.4751; Recall: 0.8768; ROC AUC: 0.4931
+[2024-05-21 16:05:03,201 INFO] Epoch:1, Snapshot:91; F1: 0.6648; Accuracy: 0.5230; Precision: 0.5363; Recall: 0.8743; ROC AUC: 0.4916
+[2024-05-21 16:05:04,138 INFO] Epoch:1, Snapshot:92; F1: 0.6347; Accuracy: 0.4970; Precision: 0.4883; Recall: 0.9066; ROC AUC: 0.5112
+[2024-05-21 16:05:04,999 INFO] Epoch:1, Snapshot:93; F1: 0.6370; Accuracy: 0.4950; Precision: 0.4983; Recall: 0.8825; ROC AUC: 0.4934
+[2024-05-21 16:05:05,796 INFO] Epoch:1, Snapshot:94; F1: 0.6270; Accuracy: 0.4920; Precision: 0.4880; Recall: 0.8768; ROC AUC: 0.5018
+[2024-05-21 16:05:06,734 INFO] Epoch:1, Snapshot:95; F1: 0.6558; Accuracy: 0.5130; Precision: 0.5213; Recall: 0.8838; ROC AUC: 0.4935
+[2024-05-21 16:05:07,689 INFO] Epoch:1, Snapshot:96; F1: 0.6239; Accuracy: 0.4780; Precision: 0.4865; Recall: 0.8695; ROC AUC: 0.4796
+[2024-05-21 16:05:08,625 INFO] Epoch:1, Snapshot:97; F1: 0.6671; Accuracy: 0.5300; Precision: 0.5340; Recall: 0.8887; ROC AUC: 0.5071
+[2024-05-21 16:05:09,438 INFO] Epoch:1, Snapshot:98; F1: 0.6354; Accuracy: 0.4950; Precision: 0.5046; Recall: 0.8577; ROC AUC: 0.4853
+[2024-05-21 16:05:10,344 INFO] Epoch:1, Snapshot:99; F1: 0.6313; Accuracy: 0.4920; Precision: 0.4893; Recall: 0.8896; ROC AUC: 0.5006
+[2024-05-21 16:05:11,517 INFO] Epoch:1, Snapshot:100; F1: 0.6428; Accuracy: 0.5020; Precision: 0.5091; Recall: 0.8716; ROC AUC: 0.4914
+[2024-05-21 16:05:12,423 INFO] Epoch:1, Snapshot:101; F1: 0.6123; Accuracy: 0.4720; Precision: 0.4691; Recall: 0.8816; ROC AUC: 0.4930
+[2024-05-21 16:05:13,377 INFO] Epoch:1, Snapshot:102; F1: 0.6320; Accuracy: 0.4910; Precision: 0.4910; Recall: 0.8864; ROC AUC: 0.4965
+[2024-05-21 16:05:14,268 INFO] Epoch:1, Snapshot:103; F1: 0.6193; Accuracy: 0.4750; Precision: 0.4798; Recall: 0.8732; ROC AUC: 0.4836
+[2024-05-21 16:05:15,129 INFO] Epoch:1, Snapshot:104; F1: 0.6267; Accuracy: 0.4960; Precision: 0.4873; Recall: 0.8776; ROC AUC: 0.5093
+[2024-05-21 16:05:16,067 INFO] Epoch:1, Snapshot:105; F1: 0.6046; Accuracy: 0.4820; Precision: 0.4567; Recall: 0.8939; ROC AUC: 0.5242
+[2024-05-21 16:05:17,052 INFO] Epoch:1, Snapshot:106; F1: 0.5745; Accuracy: 0.4460; Precision: 0.4284; Recall: 0.8718; ROC AUC: 0.4989
+[2024-05-21 16:05:18,023 INFO] Epoch:1, Snapshot:107; F1: 0.6130; Accuracy: 0.4810; Precision: 0.4779; Recall: 0.8545; ROC AUC: 0.4947
+[2024-05-21 16:05:19,021 INFO] Epoch:1, Snapshot:108; F1: 0.6495; Accuracy: 0.5100; Precision: 0.5118; Recall: 0.8885; ROC AUC: 0.5015
+[2024-05-21 16:05:19,975 INFO] Epoch:1, Snapshot:109; F1: 0.6428; Accuracy: 0.5020; Precision: 0.4978; Recall: 0.9069; ROC AUC: 0.5068
+[2024-05-21 16:05:20,819 INFO] Epoch:1, Snapshot:110; F1: 0.6396; Accuracy: 0.5030; Precision: 0.5017; Recall: 0.8820; ROC AUC: 0.5030
+[2024-05-21 16:05:21,710 INFO] Epoch:1, Snapshot:111; F1: 0.6013; Accuracy: 0.4670; Precision: 0.4647; Recall: 0.8517; ROC AUC: 0.4874
+[2024-05-21 16:05:22,836 INFO] Epoch:1, Snapshot:112; F1: 0.6338; Accuracy: 0.4950; Precision: 0.4994; Recall: 0.8671; ROC AUC: 0.4920
+[2024-05-21 16:05:23,743 INFO] Epoch:1, Snapshot:113; F1: 0.6391; Accuracy: 0.5110; Precision: 0.4994; Recall: 0.8873; ROC AUC: 0.5198
+[2024-05-21 16:05:24,884 INFO] Epoch:1, Snapshot:114; F1: 0.6643; Accuracy: 0.5270; Precision: 0.5306; Recall: 0.8880; ROC AUC: 0.5064
+[2024-05-21 16:05:26,024 INFO] Epoch:1, Snapshot:115; F1: 0.6275; Accuracy: 0.4930; Precision: 0.4819; Recall: 0.8989; ROC AUC: 0.5123
+[2024-05-21 16:05:27,119 INFO] Epoch:1, Snapshot:116; F1: 0.6297; Accuracy: 0.4930; Precision: 0.4920; Recall: 0.8742; ROC AUC: 0.4983
+[2024-05-21 16:05:28,214 INFO] Epoch:1, Snapshot:117; F1: 0.6188; Accuracy: 0.4850; Precision: 0.4777; Recall: 0.8782; ROC AUC: 0.5030
+[2024-05-21 16:05:29,230 INFO] Epoch:1, Snapshot:118; F1: 0.6500; Accuracy: 0.5090; Precision: 0.5176; Recall: 0.8736; ROC AUC: 0.4922
+[2024-05-21 16:05:30,231 INFO] Epoch:1, Snapshot:119; F1: 0.6265; Accuracy: 0.4920; Precision: 0.4897; Recall: 0.8694; ROC AUC: 0.4994
+[2024-05-21 16:05:31,264 INFO] Epoch:1, Snapshot:120; F1: 0.6297; Accuracy: 0.4920; Precision: 0.4865; Recall: 0.8926; ROC AUC: 0.5044
+[2024-05-21 16:05:32,265 INFO] Epoch:1, Snapshot:121; F1: 0.6178; Accuracy: 0.4730; Precision: 0.4830; Recall: 0.8571; ROC AUC: 0.4753
+[2024-05-21 16:05:33,249 INFO] Epoch:1, Snapshot:122; F1: 0.6462; Accuracy: 0.5040; Precision: 0.5243; Recall: 0.8420; ROC AUC: 0.4762
+[2024-05-21 16:05:34,343 INFO] Epoch:1, Snapshot:123; F1: 0.6270; Accuracy: 0.4860; Precision: 0.4848; Recall: 0.8871; ROC AUC: 0.4962
+[2024-05-21 16:05:34,359 INFO] Epoch:1, Snapshot: 0; Loss: 2.1558
+[2024-05-21 16:05:42,674 INFO] Epoch:1, Snapshot:37; F1: 0.1468; Accuracy: 0.4420; Precision: 0.5714; Recall: 0.0842; ROC AUC: 0.5002
+[2024-05-21 16:05:43,659 INFO] Epoch:1, Snapshot:38; F1: 0.1188; Accuracy: 0.4660; Precision: 0.5538; Recall: 0.0665; ROC AUC: 0.5017
+[2024-05-21 16:05:44,441 INFO] Epoch:1, Snapshot:39; F1: 0.1209; Accuracy: 0.5200; Precision: 0.4459; Recall: 0.0699; ROC AUC: 0.4961
+[2024-05-21 16:05:45,317 INFO] Epoch:1, Snapshot:40; F1: 0.1459; Accuracy: 0.4730; Precision: 0.4688; Recall: 0.0864; ROC AUC: 0.4900
+[2024-05-21 16:05:46,161 INFO] Epoch:1, Snapshot:41; F1: 0.1341; Accuracy: 0.5220; Precision: 0.4744; Recall: 0.0781; ROC AUC: 0.5001
+[2024-05-21 16:05:47,067 INFO] Epoch:1, Snapshot:42; F1: 0.1629; Accuracy: 0.5170; Precision: 0.5000; Recall: 0.0973; ROC AUC: 0.5032
+[2024-05-21 16:05:47,911 INFO] Epoch:1, Snapshot:43; F1: 0.1351; Accuracy: 0.5390; Precision: 0.4932; Recall: 0.0783; ROC AUC: 0.5049
+[2024-05-21 16:05:48,818 INFO] Epoch:1, Snapshot:44; F1: 0.1368; Accuracy: 0.4700; Precision: 0.5753; Recall: 0.0776; ROC AUC: 0.5050
+[2024-05-21 16:05:49,709 INFO] Epoch:1, Snapshot:45; F1: 0.1534; Accuracy: 0.4590; Precision: 0.4851; Recall: 0.0911; ROC AUC: 0.4893
+[2024-05-21 16:05:50,709 INFO] Epoch:1, Snapshot:46; F1: 0.1809; Accuracy: 0.5020; Precision: 0.5238; Recall: 0.1093; ROC AUC: 0.5044
+[2024-05-21 16:05:51,553 INFO] Epoch:1, Snapshot:47; F1: 0.1441; Accuracy: 0.5130; Precision: 0.4184; Recall: 0.0870; ROC AUC: 0.4896
+[2024-05-21 16:05:52,525 INFO] Epoch:1, Snapshot:48; F1: 0.1374; Accuracy: 0.5230; Precision: 0.4691; Recall: 0.0805; ROC AUC: 0.4995
+[2024-05-21 16:05:53,461 INFO] Epoch:1, Snapshot:49; F1: 0.1812; Accuracy: 0.4940; Precision: 0.5185; Recall: 0.1098; ROC AUC: 0.5018
+[2024-05-21 16:05:54,336 INFO] Epoch:1, Snapshot:50; F1: 0.1436; Accuracy: 0.5230; Precision: 0.4396; Recall: 0.0858; ROC AUC: 0.4952
+[2024-05-21 16:05:55,227 INFO] Epoch:1, Snapshot:51; F1: 0.1363; Accuracy: 0.4930; Precision: 0.4082; Recall: 0.0818; ROC AUC: 0.4841
+[2024-05-21 16:05:56,134 INFO] Epoch:1, Snapshot:52; F1: 0.1376; Accuracy: 0.4860; Precision: 0.5125; Recall: 0.0795; ROC AUC: 0.4994
+[2024-05-21 16:05:57,056 INFO] Epoch:1, Snapshot:53; F1: 0.1220; Accuracy: 0.4820; Precision: 0.4932; Recall: 0.0696; ROC AUC: 0.4965
+[2024-05-21 16:05:57,947 INFO] Epoch:1, Snapshot:54; F1: 0.1345; Accuracy: 0.5240; Precision: 0.4744; Recall: 0.0784; ROC AUC: 0.5004
+[2024-05-21 16:05:58,853 INFO] Epoch:1, Snapshot:55; F1: 0.1772; Accuracy: 0.4800; Precision: 0.5657; Recall: 0.1051; ROC AUC: 0.5065
+[2024-05-21 16:05:59,713 INFO] Epoch:1, Snapshot:56; F1: 0.1289; Accuracy: 0.4730; Precision: 0.4286; Recall: 0.0759; ROC AUC: 0.4844
+[2024-05-21 16:06:00,605 INFO] Epoch:1, Snapshot:57; F1: 0.1579; Accuracy: 0.4880; Precision: 0.5000; Recall: 0.0938; ROC AUC: 0.4977
+[2024-05-21 16:06:01,465 INFO] Epoch:1, Snapshot:58; F1: 0.1354; Accuracy: 0.5020; Precision: 0.4937; Recall: 0.0785; ROC AUC: 0.4995
+[2024-05-21 16:06:02,481 INFO] Epoch:1, Snapshot:59; F1: 0.1417; Accuracy: 0.4670; Precision: 0.5176; Recall: 0.0821; ROC AUC: 0.4969
+[2024-05-21 16:06:03,387 INFO] Epoch:1, Snapshot:60; F1: 0.1755; Accuracy: 0.5020; Precision: 0.5521; Recall: 0.1043; ROC AUC: 0.5085
+[2024-05-21 16:06:04,419 INFO] Epoch:1, Snapshot:61; F1: 0.1818; Accuracy: 0.5320; Precision: 0.5778; Recall: 0.1079; ROC AUC: 0.5173
+[2024-05-21 16:06:05,482 INFO] Epoch:1, Snapshot:62; F1: 0.1373; Accuracy: 0.5100; Precision: 0.4483; Recall: 0.0811; ROC AUC: 0.4943
+[2024-05-21 16:06:06,611 INFO] Epoch:1, Snapshot:63; F1: 0.1345; Accuracy: 0.4850; Precision: 0.4396; Recall: 0.0794; ROC AUC: 0.4883
+[2024-05-21 16:06:07,638 INFO] Epoch:1, Snapshot:64; F1: 0.1209; Accuracy: 0.5200; Precision: 0.4342; Recall: 0.0702; ROC AUC: 0.4945
+[2024-05-21 16:06:08,560 INFO] Epoch:1, Snapshot:65; F1: 0.1351; Accuracy: 0.5390; Precision: 0.5625; Recall: 0.0768; ROC AUC: 0.5120
+[2024-05-21 16:06:09,561 INFO] Epoch:1, Snapshot:66; F1: 0.1768; Accuracy: 0.4600; Precision: 0.6042; Recall: 0.1036; ROC AUC: 0.5086
+[2024-05-21 16:06:10,406 INFO] Epoch:1, Snapshot:67; F1: 0.1207; Accuracy: 0.4900; Precision: 0.4375; Recall: 0.0700; ROC AUC: 0.4900
+[2024-05-21 16:06:11,218 INFO] Epoch:1, Snapshot:68; F1: 0.1587; Accuracy: 0.5230; Precision: 0.5294; Recall: 0.0934; ROC AUC: 0.5081
+[2024-05-21 16:06:12,078 INFO] Epoch:1, Snapshot:69; F1: 0.1379; Accuracy: 0.5000; Precision: 0.4444; Recall: 0.0816; ROC AUC: 0.4918
+[2024-05-21 16:06:13,047 INFO] Epoch:1, Snapshot:70; F1: 0.1631; Accuracy: 0.4870; Precision: 0.5682; Recall: 0.0952; ROC AUC: 0.5076
+[2024-05-21 16:06:13,939 INFO] Epoch:1, Snapshot:71; F1: 0.1618; Accuracy: 0.5130; Precision: 0.5281; Recall: 0.0955; ROC AUC: 0.5064
+[2024-05-21 16:06:14,814 INFO] Epoch:1, Snapshot:72; F1: 0.1191; Accuracy: 0.5120; Precision: 0.3929; Recall: 0.0702; ROC AUC: 0.4870
+[2024-05-21 16:06:15,596 INFO] Epoch:1, Snapshot:73; F1: 0.1275; Accuracy: 0.5620; Precision: 0.4384; Recall: 0.0746; ROC AUC: 0.5014
+[2024-05-21 16:06:16,424 INFO] Epoch:1, Snapshot:74; F1: 0.1530; Accuracy: 0.5460; Precision: 0.4457; Recall: 0.0923; ROC AUC: 0.5003
+[2024-05-21 16:06:17,237 INFO] Epoch:1, Snapshot:75; F1: 0.1190; Accuracy: 0.5260; Precision: 0.4156; Recall: 0.0694; ROC AUC: 0.4930
+[2024-05-21 16:06:18,034 INFO] Epoch:1, Snapshot:76; F1: 0.1757; Accuracy: 0.5310; Precision: 0.5882; Recall: 0.1033; ROC AUC: 0.5177
+[2024-05-21 16:06:18,972 INFO] Epoch:1, Snapshot:77; F1: 0.1333; Accuracy: 0.4930; Precision: 0.4815; Recall: 0.0774; ROC AUC: 0.4964
+[2024-05-21 16:06:19,925 INFO] Epoch:1, Snapshot:78; F1: 0.1574; Accuracy: 0.4540; Precision: 0.4904; Recall: 0.0938; ROC AUC: 0.4888
+[2024-05-21 16:06:20,801 INFO] Epoch:1, Snapshot:79; F1: 0.1686; Accuracy: 0.4870; Precision: 0.5591; Recall: 0.0992; ROC AUC: 0.5066
+[2024-05-21 16:06:21,676 INFO] Epoch:1, Snapshot:80; F1: 0.1709; Accuracy: 0.5050; Precision: 0.5258; Recall: 0.1020; ROC AUC: 0.5050
+[2024-05-21 16:06:22,676 INFO] Epoch:1, Snapshot:81; F1: 0.1551; Accuracy: 0.4770; Precision: 0.4752; Recall: 0.0927; ROC AUC: 0.4914
+[2024-05-21 16:06:23,509 INFO] Epoch:1, Snapshot:82; F1: 0.1444; Accuracy: 0.5260; Precision: 0.4598; Recall: 0.0857; ROC AUC: 0.4987
+[2024-05-21 16:06:24,567 INFO] Epoch:1, Snapshot:83; F1: 0.1521; Accuracy: 0.4760; Precision: 0.5054; Recall: 0.0895; ROC AUC: 0.4963
+[2024-05-21 16:06:25,444 INFO] Epoch:1, Snapshot:84; F1: 0.1355; Accuracy: 0.4770; Precision: 0.4713; Recall: 0.0792; ROC AUC: 0.4919
+[2024-05-21 16:06:26,334 INFO] Epoch:1, Snapshot:85; F1: 0.1564; Accuracy: 0.4820; Precision: 0.5455; Recall: 0.0913; ROC AUC: 0.5034
+[2024-05-21 16:06:27,256 INFO] Epoch:1, Snapshot:86; F1: 0.1830; Accuracy: 0.5090; Precision: 0.5851; Recall: 0.1085; ROC AUC: 0.5147
+[2024-05-21 16:06:28,194 INFO] Epoch:1, Snapshot:87; F1: 0.1528; Accuracy: 0.5010; Precision: 0.4286; Recall: 0.0930; ROC AUC: 0.4883
+[2024-05-21 16:06:29,117 INFO] Epoch:1, Snapshot:88; F1: 0.1446; Accuracy: 0.5030; Precision: 0.4719; Recall: 0.0854; ROC AUC: 0.4964
+[2024-05-21 16:06:30,180 INFO] Epoch:1, Snapshot:89; F1: 0.1693; Accuracy: 0.4700; Precision: 0.5684; Recall: 0.0994; ROC AUC: 0.5049
+[2024-05-21 16:06:31,008 INFO] Epoch:1, Snapshot:90; F1: 0.1374; Accuracy: 0.5230; Precision: 0.5135; Recall: 0.0793; ROC AUC: 0.5051
+[2024-05-21 16:06:31,946 INFO] Epoch:1, Snapshot:91; F1: 0.1592; Accuracy: 0.4720; Precision: 0.5747; Recall: 0.0924; ROC AUC: 0.5059
+[2024-05-21 16:06:32,884 INFO] Epoch:1, Snapshot:92; F1: 0.1594; Accuracy: 0.5150; Precision: 0.4842; Recall: 0.0954; ROC AUC: 0.5004
+[2024-05-21 16:06:33,713 INFO] Epoch:1, Snapshot:93; F1: 0.1551; Accuracy: 0.4990; Precision: 0.5055; Recall: 0.0916; ROC AUC: 0.5006
+[2024-05-21 16:06:34,556 INFO] Epoch:1, Snapshot:94; F1: 0.1261; Accuracy: 0.5150; Precision: 0.5147; Recall: 0.0719; ROC AUC: 0.5038
+[2024-05-21 16:06:35,526 INFO] Epoch:1, Snapshot:95; F1: 0.1650; Accuracy: 0.4840; Precision: 0.5484; Recall: 0.0971; ROC AUC: 0.5044
+[2024-05-21 16:06:36,464 INFO] Epoch:1, Snapshot:96; F1: 0.1252; Accuracy: 0.4830; Precision: 0.3978; Recall: 0.0743; ROC AUC: 0.4814
+[2024-05-21 16:06:37,417 INFO] Epoch:1, Snapshot:97; F1: 0.1934; Accuracy: 0.4830; Precision: 0.5586; Recall: 0.1170; ROC AUC: 0.5064
+[2024-05-21 16:06:38,214 INFO] Epoch:1, Snapshot:98; F1: 0.1457; Accuracy: 0.4840; Precision: 0.4835; Recall: 0.0858; ROC AUC: 0.4946
+[2024-05-21 16:06:39,105 INFO] Epoch:1, Snapshot:99; F1: 0.1649; Accuracy: 0.5140; Precision: 0.5161; Recall: 0.0982; ROC AUC: 0.5050
+[2024-05-21 16:06:40,340 INFO] Epoch:1, Snapshot:100; F1: 0.1242; Accuracy: 0.4780; Precision: 0.4512; Recall: 0.0720; ROC AUC: 0.4897
+[2024-05-21 16:06:41,267 INFO] Epoch:1, Snapshot:101; F1: 0.1613; Accuracy: 0.5320; Precision: 0.5294; Recall: 0.0951; ROC AUC: 0.5096
+[2024-05-21 16:06:42,153 INFO] Epoch:1, Snapshot:102; F1: 0.1747; Accuracy: 0.5180; Precision: 0.5604; Recall: 0.1034; ROC AUC: 0.5123
+[2024-05-21 16:06:43,060 INFO] Epoch:1, Snapshot:103; F1: 0.1522; Accuracy: 0.5100; Precision: 0.4944; Recall: 0.0900; ROC AUC: 0.5010
+[2024-05-21 16:06:44,013 INFO] Epoch:1, Snapshot:104; F1: 0.1852; Accuracy: 0.5250; Precision: 0.5347; Recall: 0.1120; ROC AUC: 0.5106
+[2024-05-21 16:06:44,935 INFO] Epoch:1, Snapshot:105; F1: 0.1267; Accuracy: 0.5450; Precision: 0.4231; Recall: 0.0745; ROC AUC: 0.4969
+[2024-05-21 16:06:45,967 INFO] Epoch:1, Snapshot:106; F1: 0.1774; Accuracy: 0.5640; Precision: 0.4653; Recall: 0.1096; ROC AUC: 0.5075
+[2024-05-21 16:06:46,904 INFO] Epoch:1, Snapshot:107; F1: 0.1900; Accuracy: 0.5310; Precision: 0.5612; Recall: 0.1143; ROC AUC: 0.5157
+[2024-05-21 16:06:47,936 INFO] Epoch:1, Snapshot:108; F1: 0.1664; Accuracy: 0.4990; Precision: 0.5556; Recall: 0.0978; ROC AUC: 0.5080
+[2024-05-21 16:06:48,874 INFO] Epoch:1, Snapshot:109; F1: 0.1653; Accuracy: 0.5050; Precision: 0.4949; Recall: 0.0992; ROC AUC: 0.5002
+[2024-05-21 16:06:49,749 INFO] Epoch:1, Snapshot:110; F1: 0.1630; Accuracy: 0.5070; Precision: 0.5393; Recall: 0.0960; ROC AUC: 0.5070
+[2024-05-21 16:06:50,671 INFO] Epoch:1, Snapshot:111; F1: 0.1340; Accuracy: 0.5090; Precision: 0.4000; Recall: 0.0805; ROC AUC: 0.4863
+[2024-05-21 16:06:51,796 INFO] Epoch:1, Snapshot:112; F1: 0.1340; Accuracy: 0.4960; Precision: 0.5000; Recall: 0.0774; ROC AUC: 0.4994
+[2024-05-21 16:06:52,781 INFO] Epoch:1, Snapshot:113; F1: 0.1419; Accuracy: 0.5040; Precision: 0.4556; Recall: 0.0840; ROC AUC: 0.4942
+[2024-05-21 16:06:53,859 INFO] Epoch:1, Snapshot:114; F1: 0.1650; Accuracy: 0.4840; Precision: 0.5604; Recall: 0.0968; ROC AUC: 0.5061
+[2024-05-21 16:06:54,922 INFO] Epoch:1, Snapshot:115; F1: 0.1408; Accuracy: 0.5120; Precision: 0.4301; Recall: 0.0842; ROC AUC: 0.4916
+[2024-05-21 16:06:55,970 INFO] Epoch:1, Snapshot:116; F1: 0.1431; Accuracy: 0.4970; Precision: 0.4468; Recall: 0.0852; ROC AUC: 0.4913
+[2024-05-21 16:06:57,080 INFO] Epoch:1, Snapshot:117; F1: 0.1538; Accuracy: 0.5160; Precision: 0.4583; Recall: 0.0924; ROC AUC: 0.4966
+[2024-05-21 16:06:58,112 INFO] Epoch:1, Snapshot:118; F1: 0.1533; Accuracy: 0.4810; Precision: 0.5165; Recall: 0.0900; ROC AUC: 0.4990
+[2024-05-21 16:06:59,144 INFO] Epoch:1, Snapshot:119; F1: 0.1263; Accuracy: 0.5020; Precision: 0.4500; Recall: 0.0735; ROC AUC: 0.4936
+[2024-05-21 16:07:00,176 INFO] Epoch:1, Snapshot:120; F1: 0.1411; Accuracy: 0.5010; Precision: 0.4227; Recall: 0.0847; ROC AUC: 0.4881
+[2024-05-21 16:07:01,130 INFO] Epoch:1, Snapshot:121; F1: 0.1220; Accuracy: 0.4960; Precision: 0.4545; Recall: 0.0704; ROC AUC: 0.4935
+[2024-05-21 16:07:02,115 INFO] Epoch:1, Snapshot:122; F1: 0.1524; Accuracy: 0.4660; Precision: 0.5217; Recall: 0.0892; ROC AUC: 0.4970
+[2024-05-21 16:07:03,194 INFO] Epoch:1, Snapshot:123; F1: 0.1407; Accuracy: 0.4990; Precision: 0.4271; Recall: 0.0842; ROC AUC: 0.4885
+[2024-05-21 16:07:03,210 INFO] Epoch:1, Snapshot: 1; Loss: 14.5544
+[2024-05-21 16:07:11,277 INFO] Epoch:1, Snapshot:37; F1: 0.7244; Accuracy: 0.5700; Precision: 0.5707; Recall: 0.9912; ROC AUC: 0.5014
+[2024-05-21 16:07:12,168 INFO] Epoch:1, Snapshot:38; F1: 0.7018; Accuracy: 0.5420; Precision: 0.5417; Recall: 0.9963; ROC AUC: 0.5014
+[2024-05-21 16:07:12,919 INFO] Epoch:1, Snapshot:39; F1: 0.6370; Accuracy: 0.4700; Precision: 0.4706; Recall: 0.9852; ROC AUC: 0.4973
+[2024-05-21 16:07:13,794 INFO] Epoch:1, Snapshot:40; F1: 0.6799; Accuracy: 0.5170; Precision: 0.5192; Recall: 0.9846; ROC AUC: 0.4965
+[2024-05-21 16:07:14,622 INFO] Epoch:1, Snapshot:41; F1: 0.6417; Accuracy: 0.4740; Precision: 0.4738; Recall: 0.9937; ROC AUC: 0.4997
+[2024-05-21 16:07:15,530 INFO] Epoch:1, Snapshot:42; F1: 0.6508; Accuracy: 0.4860; Precision: 0.4843; Recall: 0.9917; ROC AUC: 0.5026
+[2024-05-21 16:07:16,343 INFO] Epoch:1, Snapshot:43; F1: 0.6252; Accuracy: 0.4580; Precision: 0.4584; Recall: 0.9826; ROC AUC: 0.4969
+[2024-05-21 16:07:17,233 INFO] Epoch:1, Snapshot:44; F1: 0.6994; Accuracy: 0.5410; Precision: 0.5416; Recall: 0.9871; ROC AUC: 0.5012
+[2024-05-21 16:07:18,155 INFO] Epoch:1, Snapshot:45; F1: 0.6993; Accuracy: 0.5400; Precision: 0.5393; Recall: 0.9944; ROC AUC: 0.5026
+[2024-05-21 16:07:19,140 INFO] Epoch:1, Snapshot:46; F1: 0.6658; Accuracy: 0.5010; Precision: 0.5020; Recall: 0.9881; ROC AUC: 0.4981
+[2024-05-21 16:07:19,952 INFO] Epoch:1, Snapshot:47; F1: 0.6407; Accuracy: 0.4750; Precision: 0.4727; Recall: 0.9936; ROC AUC: 0.5034
+[2024-05-21 16:07:20,953 INFO] Epoch:1, Snapshot:48; F1: 0.6379; Accuracy: 0.4710; Precision: 0.4712; Recall: 0.9873; ROC AUC: 0.4984
+[2024-05-21 16:07:21,891 INFO] Epoch:1, Snapshot:49; F1: 0.6729; Accuracy: 0.5090; Precision: 0.5096; Recall: 0.9902; ROC AUC: 0.4992
+[2024-05-21 16:07:22,783 INFO] Epoch:1, Snapshot:50; F1: 0.6337; Accuracy: 0.4660; Precision: 0.4657; Recall: 0.9914; ROC AUC: 0.4995
+[2024-05-21 16:07:23,721 INFO] Epoch:1, Snapshot:51; F1: 0.6545; Accuracy: 0.4900; Precision: 0.4894; Recall: 0.9877; ROC AUC: 0.5007
+[2024-05-21 16:07:24,596 INFO] Epoch:1, Snapshot:52; F1: 0.6755; Accuracy: 0.5110; Precision: 0.5136; Recall: 0.9864; ROC AUC: 0.4953
+[2024-05-21 16:07:25,550 INFO] Epoch:1, Snapshot:53; F1: 0.6769; Accuracy: 0.5140; Precision: 0.5157; Recall: 0.9845; ROC AUC: 0.4974
+[2024-05-21 16:07:26,395 INFO] Epoch:1, Snapshot:54; F1: 0.6430; Accuracy: 0.4780; Precision: 0.4747; Recall: 0.9958; ROC AUC: 0.5055
+[2024-05-21 16:07:27,301 INFO] Epoch:1, Snapshot:55; F1: 0.6916; Accuracy: 0.5300; Precision: 0.5318; Recall: 0.9887; ROC AUC: 0.4976
+[2024-05-21 16:07:28,192 INFO] Epoch:1, Snapshot:56; F1: 0.6738; Accuracy: 0.5120; Precision: 0.5132; Recall: 0.9805; ROC AUC: 0.4985
+[2024-05-21 16:07:29,036 INFO] Epoch:1, Snapshot:57; F1: 0.6711; Accuracy: 0.5060; Precision: 0.5091; Recall: 0.9844; ROC AUC: 0.4942
+[2024-05-21 16:07:29,912 INFO] Epoch:1, Snapshot:58; F1: 0.6644; Accuracy: 0.5020; Precision: 0.4995; Recall: 0.9920; ROC AUC: 0.5049
+[2024-05-21 16:07:30,881 INFO] Epoch:1, Snapshot:59; F1: 0.6941; Accuracy: 0.5320; Precision: 0.5342; Recall: 0.9907; ROC AUC: 0.4964
+[2024-05-21 16:07:31,788 INFO] Epoch:1, Snapshot:60; F1: 0.6733; Accuracy: 0.5090; Precision: 0.5085; Recall: 0.9961; ROC AUC: 0.5011
+[2024-05-21 16:07:32,866 INFO] Epoch:1, Snapshot:61; F1: 0.6508; Accuracy: 0.4850; Precision: 0.4834; Recall: 0.9959; ROC AUC: 0.5028
+[2024-05-21 16:07:33,913 INFO] Epoch:1, Snapshot:62; F1: 0.6477; Accuracy: 0.4810; Precision: 0.4808; Recall: 0.9917; ROC AUC: 0.4997
+[2024-05-21 16:07:34,961 INFO] Epoch:1, Snapshot:63; F1: 0.6720; Accuracy: 0.5090; Precision: 0.5065; Recall: 0.9980; ROC AUC: 0.5051
+[2024-05-21 16:07:35,914 INFO] Epoch:1, Snapshot:64; F1: 0.6380; Accuracy: 0.4690; Precision: 0.4694; Recall: 0.9957; ROC AUC: 0.4988
+[2024-05-21 16:07:36,789 INFO] Epoch:1, Snapshot:65; F1: 0.6338; Accuracy: 0.4650; Precision: 0.4667; Recall: 0.9872; ROC AUC: 0.4955
+[2024-05-21 16:07:37,774 INFO] Epoch:1, Snapshot:66; F1: 0.7132; Accuracy: 0.5560; Precision: 0.5587; Recall: 0.9857; ROC AUC: 0.4974
+[2024-05-21 16:07:38,680 INFO] Epoch:1, Snapshot:67; F1: 0.6640; Accuracy: 0.5000; Precision: 0.5000; Recall: 0.9880; ROC AUC: 0.5000
+[2024-05-21 16:07:39,556 INFO] Epoch:1, Snapshot:68; F1: 0.6471; Accuracy: 0.4820; Precision: 0.4817; Recall: 0.9855; ROC AUC: 0.4995
+[2024-05-21 16:07:40,400 INFO] Epoch:1, Snapshot:69; F1: 0.6545; Accuracy: 0.4900; Precision: 0.4899; Recall: 0.9857; ROC AUC: 0.4997
+[2024-05-21 16:07:41,354 INFO] Epoch:1, Snapshot:70; F1: 0.6874; Accuracy: 0.5270; Precision: 0.5263; Recall: 0.9905; ROC AUC: 0.5026
+[2024-05-21 16:07:42,198 INFO] Epoch:1, Snapshot:71; F1: 0.6586; Accuracy: 0.4940; Precision: 0.4929; Recall: 0.9919; ROC AUC: 0.5018
+[2024-05-21 16:07:43,058 INFO] Epoch:1, Snapshot:72; F1: 0.6375; Accuracy: 0.4690; Precision: 0.4693; Recall: 0.9936; ROC AUC: 0.4987
+[2024-05-21 16:07:43,855 INFO] Epoch:1, Snapshot:73; F1: 0.6018; Accuracy: 0.4350; Precision: 0.4313; Recall: 0.9953; ROC AUC: 0.5047
+[2024-05-21 16:07:44,657 INFO] Epoch:1, Snapshot:74; F1: 0.6129; Accuracy: 0.4430; Precision: 0.4432; Recall: 0.9932; ROC AUC: 0.4984
+[2024-05-21 16:07:45,511 INFO] Epoch:1, Snapshot:75; F1: 0.6275; Accuracy: 0.4610; Precision: 0.4604; Recall: 0.9848; ROC AUC: 0.4989
+[2024-05-21 16:07:46,293 INFO] Epoch:1, Snapshot:76; F1: 0.6504; Accuracy: 0.4850; Precision: 0.4843; Recall: 0.9897; ROC AUC: 0.5006
+[2024-05-21 16:07:47,216 INFO] Epoch:1, Snapshot:77; F1: 0.6671; Accuracy: 0.5040; Precision: 0.5041; Recall: 0.9861; ROC AUC: 0.5001
+[2024-05-21 16:07:48,138 INFO] Epoch:1, Snapshot:78; F1: 0.7019; Accuracy: 0.5430; Precision: 0.5440; Recall: 0.9890; ROC AUC: 0.5000
+[2024-05-21 16:07:49,060 INFO] Epoch:1, Snapshot:79; F1: 0.6830; Accuracy: 0.5200; Precision: 0.5222; Recall: 0.9866; ROC AUC: 0.4965
+[2024-05-21 16:07:49,872 INFO] Epoch:1, Snapshot:80; F1: 0.6653; Accuracy: 0.5010; Precision: 0.5005; Recall: 0.9920; ROC AUC: 0.5010
+[2024-05-21 16:07:50,810 INFO] Epoch:1, Snapshot:81; F1: 0.6799; Accuracy: 0.5170; Precision: 0.5177; Recall: 0.9903; ROC AUC: 0.4993
+[2024-05-21 16:07:51,638 INFO] Epoch:1, Snapshot:82; F1: 0.6366; Accuracy: 0.4690; Precision: 0.4678; Recall: 0.9957; ROC AUC: 0.5016
+[2024-05-21 16:07:52,638 INFO] Epoch:1, Snapshot:83; F1: 0.6865; Accuracy: 0.5260; Precision: 0.5258; Recall: 0.9886; ROC AUC: 0.5017
+[2024-05-21 16:07:53,514 INFO] Epoch:1, Snapshot:84; F1: 0.6782; Accuracy: 0.5160; Precision: 0.5172; Recall: 0.9846; ROC AUC: 0.4985
+[2024-05-21 16:07:54,389 INFO] Epoch:1, Snapshot:85; F1: 0.6891; Accuracy: 0.5290; Precision: 0.5278; Recall: 0.9924; ROC AUC: 0.5036
+[2024-05-21 16:07:55,264 INFO] Epoch:1, Snapshot:86; F1: 0.6707; Accuracy: 0.5080; Precision: 0.5076; Recall: 0.9882; ROC AUC: 0.5012
+[2024-05-21 16:07:56,186 INFO] Epoch:1, Snapshot:87; F1: 0.6495; Accuracy: 0.4820; Precision: 0.4829; Recall: 0.9917; ROC AUC: 0.4978
+[2024-05-21 16:07:57,111 INFO] Epoch:1, Snapshot:88; F1: 0.6595; Accuracy: 0.4950; Precision: 0.4934; Recall: 0.9939; ROC AUC: 0.5029
+[2024-05-21 16:07:58,187 INFO] Epoch:1, Snapshot:89; F1: 0.7027; Accuracy: 0.5440; Precision: 0.5439; Recall: 0.9926; ROC AUC: 0.5018
+[2024-05-21 16:07:58,985 INFO] Epoch:1, Snapshot:90; F1: 0.6467; Accuracy: 0.4800; Precision: 0.4794; Recall: 0.9937; ROC AUC: 0.5007
+[2024-05-21 16:07:59,908 INFO] Epoch:1, Snapshot:91; F1: 0.6997; Accuracy: 0.5400; Precision: 0.5409; Recall: 0.9908; ROC AUC: 0.4997
+[2024-05-21 16:08:00,816 INFO] Epoch:1, Snapshot:92; F1: 0.6504; Accuracy: 0.4850; Precision: 0.4834; Recall: 0.9938; ROC AUC: 0.5027
+[2024-05-21 16:08:01,627 INFO] Epoch:1, Snapshot:93; F1: 0.6680; Accuracy: 0.5030; Precision: 0.5025; Recall: 0.9960; ROC AUC: 0.5010
+[2024-05-21 16:08:02,424 INFO] Epoch:1, Snapshot:94; F1: 0.6523; Accuracy: 0.4850; Precision: 0.4859; Recall: 0.9918; ROC AUC: 0.4978
+[2024-05-21 16:08:03,331 INFO] Epoch:1, Snapshot:95; F1: 0.6882; Accuracy: 0.5280; Precision: 0.5268; Recall: 0.9924; ROC AUC: 0.5036
+[2024-05-21 16:08:04,316 INFO] Epoch:1, Snapshot:96; F1: 0.6622; Accuracy: 0.4980; Precision: 0.4980; Recall: 0.9880; ROC AUC: 0.5000
+[2024-05-21 16:08:05,253 INFO] Epoch:1, Snapshot:97; F1: 0.6917; Accuracy: 0.5330; Precision: 0.5320; Recall: 0.9887; ROC AUC: 0.5039
+[2024-05-21 16:08:06,003 INFO] Epoch:1, Snapshot:98; F1: 0.6751; Accuracy: 0.5110; Precision: 0.5121; Recall: 0.9903; ROC AUC: 0.4982
+[2024-05-21 16:08:06,848 INFO] Epoch:1, Snapshot:99; F1: 0.6581; Accuracy: 0.4950; Precision: 0.4919; Recall: 0.9939; ROC AUC: 0.5057
+[2024-05-21 16:08:07,973 INFO] Epoch:1, Snapshot:100; F1: 0.6777; Accuracy: 0.5150; Precision: 0.5146; Recall: 0.9922; ROC AUC: 0.5013
+[2024-05-21 16:08:08,817 INFO] Epoch:1, Snapshot:101; F1: 0.6421; Accuracy: 0.4750; Precision: 0.4738; Recall: 0.9958; ROC AUC: 0.5017
+[2024-05-21 16:08:09,677 INFO] Epoch:1, Snapshot:102; F1: 0.6608; Accuracy: 0.4970; Precision: 0.4949; Recall: 0.9939; ROC AUC: 0.5039
+[2024-05-21 16:08:10,568 INFO] Epoch:1, Snapshot:103; F1: 0.6531; Accuracy: 0.4880; Precision: 0.4883; Recall: 0.9857; ROC AUC: 0.4987
+[2024-05-21 16:08:11,365 INFO] Epoch:1, Snapshot:104; F1: 0.6504; Accuracy: 0.4840; Precision: 0.4829; Recall: 0.9959; ROC AUC: 0.5018
+[2024-05-21 16:08:12,287 INFO] Epoch:1, Snapshot:105; F1: 0.6132; Accuracy: 0.4450; Precision: 0.4435; Recall: 0.9932; ROC AUC: 0.5011
+[2024-05-21 16:08:13,225 INFO] Epoch:1, Snapshot:106; F1: 0.6001; Accuracy: 0.4350; Precision: 0.4309; Recall: 0.9883; ROC AUC: 0.5038
+[2024-05-21 16:08:14,132 INFO] Epoch:1, Snapshot:107; F1: 0.6481; Accuracy: 0.4820; Precision: 0.4813; Recall: 0.9917; ROC AUC: 0.5007
+[2024-05-21 16:08:15,148 INFO] Epoch:1, Snapshot:108; F1: 0.6729; Accuracy: 0.5100; Precision: 0.5106; Recall: 0.9863; ROC AUC: 0.4993
+[2024-05-21 16:08:16,040 INFO] Epoch:1, Snapshot:109; F1: 0.6568; Accuracy: 0.4910; Precision: 0.4924; Recall: 0.9858; ROC AUC: 0.4969
+[2024-05-21 16:08:16,852 INFO] Epoch:1, Snapshot:110; F1: 0.6653; Accuracy: 0.5000; Precision: 0.5000; Recall: 0.9940; ROC AUC: 0.5000
+[2024-05-21 16:08:17,680 INFO] Epoch:1, Snapshot:111; F1: 0.6374; Accuracy: 0.4710; Precision: 0.4711; Recall: 0.9852; ROC AUC: 0.4983
+[2024-05-21 16:08:18,774 INFO] Epoch:1, Snapshot:112; F1: 0.6667; Accuracy: 0.5050; Precision: 0.5046; Recall: 0.9821; ROC AUC: 0.5012
+[2024-05-21 16:08:19,696 INFO] Epoch:1, Snapshot:113; F1: 0.6581; Accuracy: 0.4970; Precision: 0.4924; Recall: 0.9918; ROC AUC: 0.5086
+[2024-05-21 16:08:20,775 INFO] Epoch:1, Snapshot:114; F1: 0.6864; Accuracy: 0.5230; Precision: 0.5252; Recall: 0.9905; ROC AUC: 0.4963
+[2024-05-21 16:08:21,838 INFO] Epoch:1, Snapshot:115; F1: 0.6439; Accuracy: 0.4780; Precision: 0.4763; Recall: 0.9937; ROC AUC: 0.5026
+[2024-05-21 16:08:22,838 INFO] Epoch:1, Snapshot:116; F1: 0.6564; Accuracy: 0.4890; Precision: 0.4909; Recall: 0.9899; ROC AUC: 0.4959
+[2024-05-21 16:08:23,886 INFO] Epoch:1, Snapshot:117; F1: 0.6426; Accuracy: 0.4750; Precision: 0.4753; Recall: 0.9916; ROC AUC: 0.4987
+[2024-05-21 16:08:24,870 INFO] Epoch:1, Snapshot:118; F1: 0.6860; Accuracy: 0.5230; Precision: 0.5226; Recall: 0.9981; ROC AUC: 0.5011
+[2024-05-21 16:08:25,871 INFO] Epoch:1, Snapshot:119; F1: 0.6540; Accuracy: 0.4890; Precision: 0.4894; Recall: 0.9857; ROC AUC: 0.4987
+[2024-05-21 16:08:26,855 INFO] Epoch:1, Snapshot:120; F1: 0.6476; Accuracy: 0.4830; Precision: 0.4832; Recall: 0.9814; ROC AUC: 0.4985
+[2024-05-21 16:08:27,824 INFO] Epoch:1, Snapshot:121; F1: 0.6586; Accuracy: 0.4930; Precision: 0.4949; Recall: 0.9839; ROC AUC: 0.4959
+[2024-05-21 16:08:28,730 INFO] Epoch:1, Snapshot:122; F1: 0.7002; Accuracy: 0.5410; Precision: 0.5398; Recall: 0.9963; ROC AUC: 0.5036
+[2024-05-21 16:08:29,715 INFO] Epoch:1, Snapshot:123; F1: 0.6558; Accuracy: 0.4920; Precision: 0.4894; Recall: 0.9938; ROC AUC: 0.5047
+[2024-05-21 16:08:29,730 INFO] Epoch:1, Snapshot: 2; Loss: 15.3151
+[2024-05-21 16:08:36,841 INFO] Epoch:1, Snapshot:37; F1: 0.7063; Accuracy: 0.5650; Precision: 0.5741; Recall: 0.9175; ROC AUC: 0.5076
+[2024-05-21 16:08:37,717 INFO] Epoch:1, Snapshot:38; F1: 0.6791; Accuracy: 0.5350; Precision: 0.5419; Recall: 0.9094; ROC AUC: 0.5016
+[2024-05-21 16:08:38,467 INFO] Epoch:1, Snapshot:39; F1: 0.6266; Accuracy: 0.4840; Precision: 0.4758; Recall: 0.9174; ROC AUC: 0.5070
+[2024-05-21 16:08:39,279 INFO] Epoch:1, Snapshot:40; F1: 0.6536; Accuracy: 0.5060; Precision: 0.5149; Recall: 0.8944; ROC AUC: 0.4890
+[2024-05-21 16:08:40,045 INFO] Epoch:1, Snapshot:41; F1: 0.6262; Accuracy: 0.4830; Precision: 0.4763; Recall: 0.9135; ROC AUC: 0.5043
+[2024-05-21 16:08:40,889 INFO] Epoch:1, Snapshot:42; F1: 0.6282; Accuracy: 0.4910; Precision: 0.4853; Recall: 0.8903; ROC AUC: 0.5041
+[2024-05-21 16:08:41,734 INFO] Epoch:1, Snapshot:43; F1: 0.6034; Accuracy: 0.4610; Precision: 0.4561; Recall: 0.8913; ROC AUC: 0.4929
+[2024-05-21 16:08:42,578 INFO] Epoch:1, Snapshot:44; F1: 0.6708; Accuracy: 0.5230; Precision: 0.5352; Recall: 0.8983; ROC AUC: 0.4895
+[2024-05-21 16:08:43,469 INFO] Epoch:1, Snapshot:45; F1: 0.6759; Accuracy: 0.5340; Precision: 0.5400; Recall: 0.9033; ROC AUC: 0.5036
+[2024-05-21 16:08:44,360 INFO] Epoch:1, Snapshot:46; F1: 0.6443; Accuracy: 0.5010; Precision: 0.5022; Recall: 0.8986; ROC AUC: 0.4986
+[2024-05-21 16:08:45,094 INFO] Epoch:1, Snapshot:47; F1: 0.6215; Accuracy: 0.4750; Precision: 0.4705; Recall: 0.9151; ROC AUC: 0.4991
+[2024-05-21 16:08:46,005 INFO] Epoch:1, Snapshot:48; F1: 0.6185; Accuracy: 0.4770; Precision: 0.4716; Recall: 0.8983; ROC AUC: 0.4993
+[2024-05-21 16:08:46,876 INFO] Epoch:1, Snapshot:49; F1: 0.6443; Accuracy: 0.5010; Precision: 0.5062; Recall: 0.8863; ROC AUC: 0.4931
+[2024-05-21 16:08:47,736 INFO] Epoch:1, Snapshot:50; F1: 0.6085; Accuracy: 0.4660; Precision: 0.4621; Recall: 0.8906; ROC AUC: 0.4930
+[2024-05-21 16:08:48,658 INFO] Epoch:1, Snapshot:51; F1: 0.6377; Accuracy: 0.4920; Precision: 0.4896; Recall: 0.9141; ROC AUC: 0.5011
+[2024-05-21 16:08:49,503 INFO] Epoch:1, Snapshot:52; F1: 0.6591; Accuracy: 0.5170; Precision: 0.5183; Recall: 0.9050; ROC AUC: 0.5042
+[2024-05-21 16:08:50,425 INFO] Epoch:1, Snapshot:53; F1: 0.6540; Accuracy: 0.5070; Precision: 0.5132; Recall: 0.9014; ROC AUC: 0.4931
+[2024-05-21 16:08:51,240 INFO] Epoch:1, Snapshot:54; F1: 0.6243; Accuracy: 0.4860; Precision: 0.4766; Recall: 0.9047; ROC AUC: 0.5082
+[2024-05-21 16:08:52,098 INFO] Epoch:1, Snapshot:55; F1: 0.6713; Accuracy: 0.5310; Precision: 0.5358; Recall: 0.8987; ROC AUC: 0.5050
+[2024-05-21 16:08:52,910 INFO] Epoch:1, Snapshot:56; F1: 0.6433; Accuracy: 0.5010; Precision: 0.5085; Recall: 0.8755; ROC AUC: 0.4902
+[2024-05-21 16:08:53,708 INFO] Epoch:1, Snapshot:57; F1: 0.6596; Accuracy: 0.5180; Precision: 0.5166; Recall: 0.9121; ROC AUC: 0.5083
+[2024-05-21 16:08:54,552 INFO] Epoch:1, Snapshot:58; F1: 0.6452; Accuracy: 0.5040; Precision: 0.5006; Recall: 0.9074; ROC AUC: 0.5064
+[2024-05-21 16:08:55,541 INFO] Epoch:1, Snapshot:59; F1: 0.6610; Accuracy: 0.5200; Precision: 0.5318; Recall: 0.8731; ROC AUC: 0.4926
+[2024-05-21 16:08:56,381 INFO] Epoch:1, Snapshot:60; F1: 0.6520; Accuracy: 0.5090; Precision: 0.5094; Recall: 0.9055; ROC AUC: 0.5026
+[2024-05-21 16:08:57,366 INFO] Epoch:1, Snapshot:61; F1: 0.6255; Accuracy: 0.4840; Precision: 0.4810; Recall: 0.8942; ROC AUC: 0.4983
+[2024-05-21 16:08:58,382 INFO] Epoch:1, Snapshot:62; F1: 0.6220; Accuracy: 0.4750; Precision: 0.4758; Recall: 0.8981; ROC AUC: 0.4905
+[2024-05-21 16:08:59,431 INFO] Epoch:1, Snapshot:63; F1: 0.6346; Accuracy: 0.4910; Precision: 0.4972; Recall: 0.8770; ROC AUC: 0.4879
+[2024-05-21 16:09:00,445 INFO] Epoch:1, Snapshot:64; F1: 0.6188; Accuracy: 0.4740; Precision: 0.4692; Recall: 0.9085; ROC AUC: 0.4986
+[2024-05-21 16:09:01,305 INFO] Epoch:1, Snapshot:65; F1: 0.6101; Accuracy: 0.4620; Precision: 0.4621; Recall: 0.8977; ROC AUC: 0.4874
+[2024-05-21 16:09:02,367 INFO] Epoch:1, Snapshot:66; F1: 0.6823; Accuracy: 0.5390; Precision: 0.5556; Recall: 0.8839; ROC AUC: 0.4920
+[2024-05-21 16:09:03,227 INFO] Epoch:1, Snapshot:67; F1: 0.6491; Accuracy: 0.5070; Precision: 0.5039; Recall: 0.9120; ROC AUC: 0.5070
+[2024-05-21 16:09:04,040 INFO] Epoch:1, Snapshot:68; F1: 0.6350; Accuracy: 0.5000; Precision: 0.4899; Recall: 0.9025; ROC AUC: 0.5140
+[2024-05-21 16:09:04,868 INFO] Epoch:1, Snapshot:69; F1: 0.6399; Accuracy: 0.4980; Precision: 0.4934; Recall: 0.9102; ROC AUC: 0.5061
+[2024-05-21 16:09:05,759 INFO] Epoch:1, Snapshot:70; F1: 0.6667; Accuracy: 0.5230; Precision: 0.5265; Recall: 0.9086; ROC AUC: 0.5027
+[2024-05-21 16:09:06,618 INFO] Epoch:1, Snapshot:71; F1: 0.6335; Accuracy: 0.4910; Precision: 0.4905; Recall: 0.8943; ROC AUC: 0.4974
+[2024-05-21 16:09:07,447 INFO] Epoch:1, Snapshot:72; F1: 0.6141; Accuracy: 0.4760; Precision: 0.4696; Recall: 0.8872; ROC AUC: 0.4993
+[2024-05-21 16:09:08,150 INFO] Epoch:1, Snapshot:73; F1: 0.5818; Accuracy: 0.4450; Precision: 0.4298; Recall: 0.8998; ROC AUC: 0.5015
+[2024-05-21 16:09:08,947 INFO] Epoch:1, Snapshot:74; F1: 0.6007; Accuracy: 0.4670; Precision: 0.4501; Recall: 0.9032; ROC AUC: 0.5109
+[2024-05-21 16:09:09,791 INFO] Epoch:1, Snapshot:75; F1: 0.6124; Accuracy: 0.4760; Precision: 0.4646; Recall: 0.8980; ROC AUC: 0.5065
+[2024-05-21 16:09:10,588 INFO] Epoch:1, Snapshot:76; F1: 0.6287; Accuracy: 0.4920; Precision: 0.4864; Recall: 0.8884; ROC AUC: 0.5043
+[2024-05-21 16:09:11,510 INFO] Epoch:1, Snapshot:77; F1: 0.6442; Accuracy: 0.5040; Precision: 0.5045; Recall: 0.8909; ROC AUC: 0.5009
+[2024-05-21 16:09:12,448 INFO] Epoch:1, Snapshot:78; F1: 0.6818; Accuracy: 0.5390; Precision: 0.5459; Recall: 0.9081; ROC AUC: 0.5034
+[2024-05-21 16:09:13,386 INFO] Epoch:1, Snapshot:79; F1: 0.6611; Accuracy: 0.5160; Precision: 0.5221; Recall: 0.9008; ROC AUC: 0.4966
+[2024-05-21 16:09:14,168 INFO] Epoch:1, Snapshot:80; F1: 0.6413; Accuracy: 0.5000; Precision: 0.5000; Recall: 0.8940; ROC AUC: 0.5000
+[2024-05-21 16:09:15,137 INFO] Epoch:1, Snapshot:81; F1: 0.6615; Accuracy: 0.5210; Precision: 0.5217; Recall: 0.9035; ROC AUC: 0.5067
+[2024-05-21 16:09:15,934 INFO] Epoch:1, Snapshot:82; F1: 0.6057; Accuracy: 0.4650; Precision: 0.4618; Recall: 0.8801; ROC AUC: 0.4907
+[2024-05-21 16:09:16,934 INFO] Epoch:1, Snapshot:83; F1: 0.6723; Accuracy: 0.5330; Precision: 0.5322; Recall: 0.9124; ROC AUC: 0.5130
+[2024-05-21 16:09:17,763 INFO] Epoch:1, Snapshot:84; F1: 0.6606; Accuracy: 0.5190; Precision: 0.5206; Recall: 0.9035; ROC AUC: 0.5046
+[2024-05-21 16:09:18,638 INFO] Epoch:1, Snapshot:85; F1: 0.6615; Accuracy: 0.5160; Precision: 0.5232; Recall: 0.8992; ROC AUC: 0.4950
+[2024-05-21 16:09:19,498 INFO] Epoch:1, Snapshot:86; F1: 0.6478; Accuracy: 0.5030; Precision: 0.5055; Recall: 0.9014; ROC AUC: 0.4973
+[2024-05-21 16:09:20,405 INFO] Epoch:1, Snapshot:87; F1: 0.6380; Accuracy: 0.4950; Precision: 0.4885; Recall: 0.9194; ROC AUC: 0.5082
+[2024-05-21 16:09:21,264 INFO] Epoch:1, Snapshot:88; F1: 0.6364; Accuracy: 0.4960; Precision: 0.4933; Recall: 0.8963; ROC AUC: 0.5023
+[2024-05-21 16:09:22,311 INFO] Epoch:1, Snapshot:89; F1: 0.6732; Accuracy: 0.5330; Precision: 0.5429; Recall: 0.8858; ROC AUC: 0.4998
+[2024-05-21 16:09:23,078 INFO] Epoch:1, Snapshot:90; F1: 0.6235; Accuracy: 0.4770; Precision: 0.4758; Recall: 0.9040; ROC AUC: 0.4942
+[2024-05-21 16:09:23,970 INFO] Epoch:1, Snapshot:91; F1: 0.6813; Accuracy: 0.5370; Precision: 0.5428; Recall: 0.9150; ROC AUC: 0.5032
+[2024-05-21 16:09:24,828 INFO] Epoch:1, Snapshot:92; F1: 0.6280; Accuracy: 0.4870; Precision: 0.4827; Recall: 0.8983; ROC AUC: 0.5013
+[2024-05-21 16:09:25,641 INFO] Epoch:1, Snapshot:93; F1: 0.6312; Accuracy: 0.4870; Precision: 0.4938; Recall: 0.8745; ROC AUC: 0.4854
+[2024-05-21 16:09:26,422 INFO] Epoch:1, Snapshot:94; F1: 0.6287; Accuracy: 0.4850; Precision: 0.4844; Recall: 0.8953; ROC AUC: 0.4954
+[2024-05-21 16:09:27,297 INFO] Epoch:1, Snapshot:95; F1: 0.6511; Accuracy: 0.5070; Precision: 0.5180; Recall: 0.8762; ROC AUC: 0.4876
+[2024-05-21 16:09:28,266 INFO] Epoch:1, Snapshot:96; F1: 0.6467; Accuracy: 0.5050; Precision: 0.5017; Recall: 0.9096; ROC AUC: 0.5066
+[2024-05-21 16:09:29,173 INFO] Epoch:1, Snapshot:97; F1: 0.6653; Accuracy: 0.5190; Precision: 0.5270; Recall: 0.9019; ROC AUC: 0.4946
+[2024-05-21 16:09:29,954 INFO] Epoch:1, Snapshot:98; F1: 0.6596; Accuracy: 0.5150; Precision: 0.5154; Recall: 0.9162; ROC AUC: 0.5043
+[2024-05-21 16:09:30,814 INFO] Epoch:1, Snapshot:99; F1: 0.6329; Accuracy: 0.4930; Precision: 0.4899; Recall: 0.8937; ROC AUC: 0.5016
+[2024-05-21 16:09:31,924 INFO] Epoch:1, Snapshot:100; F1: 0.6577; Accuracy: 0.5190; Precision: 0.5185; Recall: 0.8988; ROC AUC: 0.5081
+[2024-05-21 16:09:32,784 INFO] Epoch:1, Snapshot:101; F1: 0.6255; Accuracy: 0.4850; Precision: 0.4767; Recall: 0.9091; ROC AUC: 0.5067
+[2024-05-21 16:09:33,627 INFO] Epoch:1, Snapshot:102; F1: 0.6512; Accuracy: 0.5050; Precision: 0.4989; Recall: 0.9371; ROC AUC: 0.5110
+[2024-05-21 16:09:34,487 INFO] Epoch:1, Snapshot:103; F1: 0.6297; Accuracy: 0.4790; Precision: 0.4826; Recall: 0.9059; ROC AUC: 0.4882
+[2024-05-21 16:09:35,284 INFO] Epoch:1, Snapshot:104; F1: 0.6243; Accuracy: 0.4800; Precision: 0.4789; Recall: 0.8963; ROC AUC: 0.4945
+[2024-05-21 16:09:36,191 INFO] Epoch:1, Snapshot:105; F1: 0.6079; Accuracy: 0.4710; Precision: 0.4525; Recall: 0.9255; ROC AUC: 0.5175
+[2024-05-21 16:09:37,129 INFO] Epoch:1, Snapshot:106; F1: 0.5803; Accuracy: 0.4430; Precision: 0.4287; Recall: 0.8974; ROC AUC: 0.4995
+[2024-05-21 16:09:38,035 INFO] Epoch:1, Snapshot:107; F1: 0.6224; Accuracy: 0.4770; Precision: 0.4768; Recall: 0.8960; ROC AUC: 0.4923
+[2024-05-21 16:09:39,005 INFO] Epoch:1, Snapshot:108; F1: 0.6464; Accuracy: 0.4990; Precision: 0.5055; Recall: 0.8963; ROC AUC: 0.4901
+[2024-05-21 16:09:39,927 INFO] Epoch:1, Snapshot:109; F1: 0.6182; Accuracy: 0.4700; Precision: 0.4799; Recall: 0.8684; ROC AUC: 0.4747
+[2024-05-21 16:09:40,786 INFO] Epoch:1, Snapshot:110; F1: 0.6458; Accuracy: 0.5030; Precision: 0.5017; Recall: 0.9060; ROC AUC: 0.5030
+[2024-05-21 16:09:41,599 INFO] Epoch:1, Snapshot:111; F1: 0.6196; Accuracy: 0.4720; Precision: 0.4694; Recall: 0.9110; ROC AUC: 0.4953
+[2024-05-21 16:09:42,677 INFO] Epoch:1, Snapshot:112; F1: 0.6361; Accuracy: 0.4840; Precision: 0.4934; Recall: 0.8948; ROC AUC: 0.4807
+[2024-05-21 16:09:43,568 INFO] Epoch:1, Snapshot:113; F1: 0.6291; Accuracy: 0.4860; Precision: 0.4855; Recall: 0.8934; ROC AUC: 0.4955
+[2024-05-21 16:09:44,662 INFO] Epoch:1, Snapshot:114; F1: 0.6587; Accuracy: 0.5140; Precision: 0.5229; Recall: 0.8899; ROC AUC: 0.4925
+[2024-05-21 16:09:45,709 INFO] Epoch:1, Snapshot:115; F1: 0.6083; Accuracy: 0.4630; Precision: 0.4654; Recall: 0.8779; ROC AUC: 0.4828
+[2024-05-21 16:09:46,709 INFO] Epoch:1, Snapshot:116; F1: 0.6308; Accuracy: 0.4850; Precision: 0.4878; Recall: 0.8925; ROC AUC: 0.4906
+[2024-05-21 16:09:47,741 INFO] Epoch:1, Snapshot:117; F1: 0.6158; Accuracy: 0.4660; Precision: 0.4683; Recall: 0.8992; ROC AUC: 0.4858
+[2024-05-21 16:09:48,699 INFO] Epoch:1, Snapshot:118; F1: 0.6718; Accuracy: 0.5290; Precision: 0.5279; Recall: 0.9234; ROC AUC: 0.5108
+[2024-05-21 16:09:49,710 INFO] Epoch:1, Snapshot:119; F1: 0.6453; Accuracy: 0.5010; Precision: 0.4951; Recall: 0.9265; ROC AUC: 0.5093
+[2024-05-21 16:09:50,694 INFO] Epoch:1, Snapshot:120; F1: 0.6244; Accuracy: 0.4850; Precision: 0.4825; Recall: 0.8843; ROC AUC: 0.4974
+[2024-05-21 16:09:51,663 INFO] Epoch:1, Snapshot:121; F1: 0.6515; Accuracy: 0.5090; Precision: 0.5033; Recall: 0.9235; ROC AUC: 0.5115
+[2024-05-21 16:09:52,554 INFO] Epoch:1, Snapshot:122; F1: 0.6634; Accuracy: 0.5150; Precision: 0.5293; Recall: 0.8885; ROC AUC: 0.4843
+[2024-05-21 16:09:53,570 INFO] Epoch:1, Snapshot:123; F1: 0.6298; Accuracy: 0.4840; Precision: 0.4840; Recall: 0.9014; ROC AUC: 0.4946
+[2024-05-21 16:09:53,585 INFO] Epoch:1, Snapshot: 3; Loss: 4.0124
+[2024-05-21 16:10:00,540 INFO] Epoch:1, Snapshot:37; F1: 0.6936; Accuracy: 0.5520; Precision: 0.5684; Recall: 0.8895; ROC AUC: 0.4971
+[2024-05-21 16:10:01,384 INFO] Epoch:1, Snapshot:38; F1: 0.6740; Accuracy: 0.5290; Precision: 0.5387; Recall: 0.9002; ROC AUC: 0.4958
+[2024-05-21 16:10:02,118 INFO] Epoch:1, Snapshot:39; F1: 0.6136; Accuracy: 0.4710; Precision: 0.4682; Recall: 0.8898; ROC AUC: 0.4932
+[2024-05-21 16:10:02,947 INFO] Epoch:1, Snapshot:40; F1: 0.6530; Accuracy: 0.5090; Precision: 0.5168; Recall: 0.8868; ROC AUC: 0.4924
+[2024-05-21 16:10:03,713 INFO] Epoch:1, Snapshot:41; F1: 0.6162; Accuracy: 0.4730; Precision: 0.4705; Recall: 0.8924; ROC AUC: 0.4937
+[2024-05-21 16:10:04,573 INFO] Epoch:1, Snapshot:42; F1: 0.6246; Accuracy: 0.4820; Precision: 0.4805; Recall: 0.8923; ROC AUC: 0.4955
+[2024-05-21 16:10:05,354 INFO] Epoch:1, Snapshot:43; F1: 0.6070; Accuracy: 0.4640; Precision: 0.4580; Recall: 0.9000; ROC AUC: 0.4963
+[2024-05-21 16:10:06,152 INFO] Epoch:1, Snapshot:44; F1: 0.6828; Accuracy: 0.5400; Precision: 0.5446; Recall: 0.9150; ROC AUC: 0.5065
+[2024-05-21 16:10:07,027 INFO] Epoch:1, Snapshot:45; F1: 0.6796; Accuracy: 0.5370; Precision: 0.5413; Recall: 0.9126; ROC AUC: 0.5061
+[2024-05-21 16:10:07,902 INFO] Epoch:1, Snapshot:46; F1: 0.6438; Accuracy: 0.5020; Precision: 0.5028; Recall: 0.8946; ROC AUC: 0.4996
+[2024-05-21 16:10:08,684 INFO] Epoch:1, Snapshot:47; F1: 0.6214; Accuracy: 0.4810; Precision: 0.4733; Recall: 0.9045; ROC AUC: 0.5042
+[2024-05-21 16:10:09,606 INFO] Epoch:1, Snapshot:48; F1: 0.6227; Accuracy: 0.4790; Precision: 0.4730; Recall: 0.9110; ROC AUC: 0.5019
+[2024-05-21 16:10:10,528 INFO] Epoch:1, Snapshot:49; F1: 0.6505; Accuracy: 0.5110; Precision: 0.5118; Recall: 0.8922; ROC AUC: 0.5032
+[2024-05-21 16:10:11,357 INFO] Epoch:1, Snapshot:50; F1: 0.6244; Accuracy: 0.4910; Precision: 0.4758; Recall: 0.9077; ROC AUC: 0.5175
+[2024-05-21 16:10:12,216 INFO] Epoch:1, Snapshot:51; F1: 0.6372; Accuracy: 0.5000; Precision: 0.4938; Recall: 0.8978; ROC AUC: 0.5086
+[2024-05-21 16:10:13,076 INFO] Epoch:1, Snapshot:52; F1: 0.6453; Accuracy: 0.5010; Precision: 0.5095; Recall: 0.8798; ROC AUC: 0.4885
+[2024-05-21 16:10:13,983 INFO] Epoch:1, Snapshot:53; F1: 0.6451; Accuracy: 0.4950; Precision: 0.5066; Recall: 0.8878; ROC AUC: 0.4812
+[2024-05-21 16:10:14,780 INFO] Epoch:1, Snapshot:54; F1: 0.6149; Accuracy: 0.4740; Precision: 0.4698; Recall: 0.8898; ROC AUC: 0.4961
+[2024-05-21 16:10:15,608 INFO] Epoch:1, Snapshot:55; F1: 0.6629; Accuracy: 0.5190; Precision: 0.5291; Recall: 0.8874; ROC AUC: 0.4930
+[2024-05-21 16:10:16,468 INFO] Epoch:1, Snapshot:56; F1: 0.6518; Accuracy: 0.5160; Precision: 0.5171; Recall: 0.8813; ROC AUC: 0.5055
+[2024-05-21 16:10:17,265 INFO] Epoch:1, Snapshot:57; F1: 0.6495; Accuracy: 0.5100; Precision: 0.5124; Recall: 0.8867; ROC AUC: 0.5007
+[2024-05-21 16:10:18,077 INFO] Epoch:1, Snapshot:58; F1: 0.6447; Accuracy: 0.5040; Precision: 0.5006; Recall: 0.9054; ROC AUC: 0.5064
+[2024-05-21 16:10:19,015 INFO] Epoch:1, Snapshot:59; F1: 0.6690; Accuracy: 0.5230; Precision: 0.5326; Recall: 0.8993; ROC AUC: 0.4938
+[2024-05-21 16:10:19,859 INFO] Epoch:1, Snapshot:60; F1: 0.6419; Accuracy: 0.4990; Precision: 0.5039; Recall: 0.8839; ROC AUC: 0.4927
+[2024-05-21 16:10:20,860 INFO] Epoch:1, Snapshot:61; F1: 0.6326; Accuracy: 0.4900; Precision: 0.4845; Recall: 0.9108; ROC AUC: 0.5046
+[2024-05-21 16:10:21,860 INFO] Epoch:1, Snapshot:62; F1: 0.6193; Accuracy: 0.4800; Precision: 0.4780; Recall: 0.8794; ROC AUC: 0.4946
+[2024-05-21 16:10:22,907 INFO] Epoch:1, Snapshot:63; F1: 0.6437; Accuracy: 0.5030; Precision: 0.5039; Recall: 0.8909; ROC AUC: 0.4999
+[2024-05-21 16:10:23,845 INFO] Epoch:1, Snapshot:64; F1: 0.6166; Accuracy: 0.4690; Precision: 0.4667; Recall: 0.9085; ROC AUC: 0.4939
+[2024-05-21 16:10:24,767 INFO] Epoch:1, Snapshot:65; F1: 0.6137; Accuracy: 0.4800; Precision: 0.4709; Recall: 0.8806; ROC AUC: 0.5034
+[2024-05-21 16:10:25,736 INFO] Epoch:1, Snapshot:66; F1: 0.6990; Accuracy: 0.5600; Precision: 0.5665; Recall: 0.9125; ROC AUC: 0.5119
+[2024-05-21 16:10:26,580 INFO] Epoch:1, Snapshot:67; F1: 0.6467; Accuracy: 0.5040; Precision: 0.5022; Recall: 0.9080; ROC AUC: 0.5040
+[2024-05-21 16:10:27,392 INFO] Epoch:1, Snapshot:68; F1: 0.6419; Accuracy: 0.5080; Precision: 0.4944; Recall: 0.9149; ROC AUC: 0.5221
+[2024-05-21 16:10:28,205 INFO] Epoch:1, Snapshot:69; F1: 0.6387; Accuracy: 0.5000; Precision: 0.4944; Recall: 0.9020; ROC AUC: 0.5079
+[2024-05-21 16:10:29,143 INFO] Epoch:1, Snapshot:70; F1: 0.6652; Accuracy: 0.5280; Precision: 0.5299; Recall: 0.8933; ROC AUC: 0.5088
+[2024-05-21 16:10:29,987 INFO] Epoch:1, Snapshot:71; F1: 0.6363; Accuracy: 0.4970; Precision: 0.4938; Recall: 0.8943; ROC AUC: 0.5033
+[2024-05-21 16:10:30,863 INFO] Epoch:1, Snapshot:72; F1: 0.6240; Accuracy: 0.4830; Precision: 0.4740; Recall: 0.9128; ROC AUC: 0.5073
+[2024-05-21 16:10:31,597 INFO] Epoch:1, Snapshot:73; F1: 0.5745; Accuracy: 0.4370; Precision: 0.4251; Recall: 0.8858; ROC AUC: 0.4928
+[2024-05-21 16:10:32,378 INFO] Epoch:1, Snapshot:74; F1: 0.5876; Accuracy: 0.4470; Precision: 0.4392; Recall: 0.8874; ROC AUC: 0.4914
+[2024-05-21 16:10:33,191 INFO] Epoch:1, Snapshot:75; F1: 0.6093; Accuracy: 0.4730; Precision: 0.4628; Recall: 0.8915; ROC AUC: 0.5033
+[2024-05-21 16:10:33,942 INFO] Epoch:1, Snapshot:76; F1: 0.6194; Accuracy: 0.4740; Precision: 0.4766; Recall: 0.8843; ROC AUC: 0.4867
+[2024-05-21 16:10:34,911 INFO] Epoch:1, Snapshot:77; F1: 0.6332; Accuracy: 0.4880; Precision: 0.4955; Recall: 0.8770; ROC AUC: 0.4849
+[2024-05-21 16:10:35,817 INFO] Epoch:1, Snapshot:78; F1: 0.6792; Accuracy: 0.5380; Precision: 0.5458; Recall: 0.8989; ROC AUC: 0.5032
+[2024-05-21 16:10:36,692 INFO] Epoch:1, Snapshot:79; F1: 0.6704; Accuracy: 0.5300; Precision: 0.5299; Recall: 0.9122; ROC AUC: 0.5107
+[2024-05-21 16:10:37,521 INFO] Epoch:1, Snapshot:80; F1: 0.6449; Accuracy: 0.4990; Precision: 0.4995; Recall: 0.9100; ROC AUC: 0.4990
+[2024-05-21 16:10:38,474 INFO] Epoch:1, Snapshot:81; F1: 0.6558; Accuracy: 0.5160; Precision: 0.5191; Recall: 0.8900; ROC AUC: 0.5020
+[2024-05-21 16:10:39,287 INFO] Epoch:1, Snapshot:82; F1: 0.6098; Accuracy: 0.4690; Precision: 0.4642; Recall: 0.8887; ROC AUC: 0.4950
+[2024-05-21 16:10:40,334 INFO] Epoch:1, Snapshot:83; F1: 0.6643; Accuracy: 0.5220; Precision: 0.5261; Recall: 0.9010; ROC AUC: 0.5021
+[2024-05-21 16:10:41,162 INFO] Epoch:1, Snapshot:84; F1: 0.6605; Accuracy: 0.5260; Precision: 0.5251; Recall: 0.8900; ROC AUC: 0.5124
+[2024-05-21 16:10:42,006 INFO] Epoch:1, Snapshot:85; F1: 0.6657; Accuracy: 0.5280; Precision: 0.5305; Recall: 0.8935; ROC AUC: 0.5079
+[2024-05-21 16:10:42,866 INFO] Epoch:1, Snapshot:86; F1: 0.6477; Accuracy: 0.5050; Precision: 0.5067; Recall: 0.8974; ROC AUC: 0.4994
+[2024-05-21 16:10:43,788 INFO] Epoch:1, Snapshot:87; F1: 0.6279; Accuracy: 0.4940; Precision: 0.4874; Recall: 0.8822; ROC AUC: 0.5060
+[2024-05-21 16:10:44,648 INFO] Epoch:1, Snapshot:88; F1: 0.6368; Accuracy: 0.4980; Precision: 0.4944; Recall: 0.8943; ROC AUC: 0.5042
+[2024-05-21 16:10:45,744 INFO] Epoch:1, Snapshot:89; F1: 0.6787; Accuracy: 0.5380; Precision: 0.5453; Recall: 0.8987; ROC AUC: 0.5041
+[2024-05-21 16:10:46,524 INFO] Epoch:1, Snapshot:90; F1: 0.6254; Accuracy: 0.4790; Precision: 0.4770; Recall: 0.9081; ROC AUC: 0.4963
+[2024-05-21 16:10:47,431 INFO] Epoch:1, Snapshot:91; F1: 0.6587; Accuracy: 0.5120; Precision: 0.5298; Recall: 0.8706; ROC AUC: 0.4800
+[2024-05-21 16:10:48,321 INFO] Epoch:1, Snapshot:92; F1: 0.6265; Accuracy: 0.4860; Precision: 0.4821; Recall: 0.8942; ROC AUC: 0.5002
+[2024-05-21 16:10:49,165 INFO] Epoch:1, Snapshot:93; F1: 0.6472; Accuracy: 0.5050; Precision: 0.5039; Recall: 0.9044; ROC AUC: 0.5034
+[2024-05-21 16:10:49,947 INFO] Epoch:1, Snapshot:94; F1: 0.6258; Accuracy: 0.4870; Precision: 0.4853; Recall: 0.8809; ROC AUC: 0.4970
+[2024-05-21 16:10:50,838 INFO] Epoch:1, Snapshot:95; F1: 0.6662; Accuracy: 0.5280; Precision: 0.5298; Recall: 0.8971; ROC AUC: 0.5086
+[2024-05-21 16:10:51,729 INFO] Epoch:1, Snapshot:96; F1: 0.6345; Accuracy: 0.4850; Precision: 0.4907; Recall: 0.8976; ROC AUC: 0.4866
+[2024-05-21 16:10:52,698 INFO] Epoch:1, Snapshot:97; F1: 0.6625; Accuracy: 0.5180; Precision: 0.5267; Recall: 0.8925; ROC AUC: 0.4941
+[2024-05-21 16:10:53,495 INFO] Epoch:1, Snapshot:98; F1: 0.6550; Accuracy: 0.5090; Precision: 0.5121; Recall: 0.9084; ROC AUC: 0.4983
+[2024-05-21 16:10:54,385 INFO] Epoch:1, Snapshot:99; F1: 0.6267; Accuracy: 0.4830; Precision: 0.4844; Recall: 0.8875; ROC AUC: 0.4917
+[2024-05-21 16:10:55,511 INFO] Epoch:1, Snapshot:100; F1: 0.6490; Accuracy: 0.5100; Precision: 0.5136; Recall: 0.8813; ROC AUC: 0.4993
+[2024-05-21 16:10:56,386 INFO] Epoch:1, Snapshot:101; F1: 0.6172; Accuracy: 0.4740; Precision: 0.4706; Recall: 0.8964; ROC AUC: 0.4956
+[2024-05-21 16:10:57,214 INFO] Epoch:1, Snapshot:102; F1: 0.6373; Accuracy: 0.4970; Precision: 0.4944; Recall: 0.8966; ROC AUC: 0.5025
+[2024-05-21 16:10:58,105 INFO] Epoch:1, Snapshot:103; F1: 0.6307; Accuracy: 0.4930; Precision: 0.4898; Recall: 0.8855; ROC AUC: 0.5014
+[2024-05-21 16:10:58,934 INFO] Epoch:1, Snapshot:104; F1: 0.6330; Accuracy: 0.4980; Precision: 0.4887; Recall: 0.8983; ROC AUC: 0.5119
+[2024-05-21 16:10:59,856 INFO] Epoch:1, Snapshot:105; F1: 0.5908; Accuracy: 0.4500; Precision: 0.4406; Recall: 0.8962; ROC AUC: 0.4957
+[2024-05-21 16:11:00,809 INFO] Epoch:1, Snapshot:106; F1: 0.5636; Accuracy: 0.4240; Precision: 0.4175; Recall: 0.8671; ROC AUC: 0.4791
+[2024-05-21 16:11:01,700 INFO] Epoch:1, Snapshot:107; F1: 0.6318; Accuracy: 0.5000; Precision: 0.4892; Recall: 0.8919; ROC AUC: 0.5143
+[2024-05-21 16:11:02,716 INFO] Epoch:1, Snapshot:108; F1: 0.6456; Accuracy: 0.5070; Precision: 0.5102; Recall: 0.8787; ROC AUC: 0.4986
+[2024-05-21 16:11:03,674 INFO] Epoch:1, Snapshot:109; F1: 0.6473; Accuracy: 0.5150; Precision: 0.5051; Recall: 0.9008; ROC AUC: 0.5196
+[2024-05-21 16:11:04,513 INFO] Epoch:1, Snapshot:110; F1: 0.6349; Accuracy: 0.4940; Precision: 0.4966; Recall: 0.8800; ROC AUC: 0.4940
+[2024-05-21 16:11:05,341 INFO] Epoch:1, Snapshot:111; F1: 0.6227; Accuracy: 0.4850; Precision: 0.4759; Recall: 0.9004; ROC AUC: 0.5070
+[2024-05-21 16:11:06,389 INFO] Epoch:1, Snapshot:112; F1: 0.6378; Accuracy: 0.4900; Precision: 0.4967; Recall: 0.8909; ROC AUC: 0.4868
+[2024-05-21 16:11:07,295 INFO] Epoch:1, Snapshot:113; F1: 0.6360; Accuracy: 0.4940; Precision: 0.4900; Recall: 0.9057; ROC AUC: 0.5037
+[2024-05-21 16:11:08,452 INFO] Epoch:1, Snapshot:114; F1: 0.6718; Accuracy: 0.5290; Precision: 0.5308; Recall: 0.9146; ROC AUC: 0.5070
+[2024-05-21 16:11:09,499 INFO] Epoch:1, Snapshot:115; F1: 0.6116; Accuracy: 0.4730; Precision: 0.4705; Recall: 0.8737; ROC AUC: 0.4921
+[2024-05-21 16:11:10,484 INFO] Epoch:1, Snapshot:116; F1: 0.6430; Accuracy: 0.4970; Precision: 0.4945; Recall: 0.9189; ROC AUC: 0.5028
+[2024-05-21 16:11:11,531 INFO] Epoch:1, Snapshot:117; F1: 0.6302; Accuracy: 0.4930; Precision: 0.4827; Recall: 0.9076; ROC AUC: 0.5120
+[2024-05-21 16:11:12,531 INFO] Epoch:1, Snapshot:118; F1: 0.6511; Accuracy: 0.5070; Precision: 0.5163; Recall: 0.8812; ROC AUC: 0.4898
+[2024-05-21 16:11:13,500 INFO] Epoch:1, Snapshot:119; F1: 0.6376; Accuracy: 0.4930; Precision: 0.4906; Recall: 0.9102; ROC AUC: 0.5012
+[2024-05-21 16:11:14,500 INFO] Epoch:1, Snapshot:120; F1: 0.6191; Accuracy: 0.4770; Precision: 0.4781; Recall: 0.8781; ROC AUC: 0.4894
+[2024-05-21 16:11:15,438 INFO] Epoch:1, Snapshot:121; F1: 0.6398; Accuracy: 0.5000; Precision: 0.4983; Recall: 0.8934; ROC AUC: 0.5023
+[2024-05-21 16:11:16,344 INFO] Epoch:1, Snapshot:122; F1: 0.6555; Accuracy: 0.5060; Precision: 0.5246; Recall: 0.8736; ROC AUC: 0.4758
+[2024-05-21 16:11:17,345 INFO] Epoch:1, Snapshot:123; F1: 0.6297; Accuracy: 0.4920; Precision: 0.4881; Recall: 0.8871; ROC AUC: 0.5020
+[2024-05-21 16:11:17,360 INFO] Epoch:1, Snapshot: 4; Loss: 1.8400
+[2024-05-21 16:11:24,533 INFO] Epoch:1, Snapshot:37; F1: 0.0000; Accuracy: 0.4300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:25,424 INFO] Epoch:1, Snapshot:38; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:26,127 INFO] Epoch:1, Snapshot:39; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:26,924 INFO] Epoch:1, Snapshot:40; F1: 0.0000; Accuracy: 0.4790; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:27,706 INFO] Epoch:1, Snapshot:41; F1: 0.0000; Accuracy: 0.5260; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:28,565 INFO] Epoch:1, Snapshot:42; F1: 0.0000; Accuracy: 0.5170; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:29,362 INFO] Epoch:1, Snapshot:43; F1: 0.0000; Accuracy: 0.5400; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:30,190 INFO] Epoch:1, Snapshot:44; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:31,066 INFO] Epoch:1, Snapshot:45; F1: 0.0000; Accuracy: 0.4620; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:31,957 INFO] Epoch:1, Snapshot:46; F1: 0.0000; Accuracy: 0.4970; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:32,692 INFO] Epoch:1, Snapshot:47; F1: 0.0000; Accuracy: 0.5290; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:33,583 INFO] Epoch:1, Snapshot:48; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:34,489 INFO] Epoch:1, Snapshot:49; F1: 0.0000; Accuracy: 0.4900; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:35,349 INFO] Epoch:1, Snapshot:50; F1: 0.0000; Accuracy: 0.5340; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:36,208 INFO] Epoch:1, Snapshot:51; F1: 0.0000; Accuracy: 0.5110; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:37,053 INFO] Epoch:1, Snapshot:52; F1: 0.0000; Accuracy: 0.4840; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:37,975 INFO] Epoch:1, Snapshot:53; F1: 0.0000; Accuracy: 0.4830; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:38,787 INFO] Epoch:1, Snapshot:54; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:39,631 INFO] Epoch:1, Snapshot:55; F1: 0.0000; Accuracy: 0.4670; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:40,493 INFO] Epoch:1, Snapshot:56; F1: 0.0000; Accuracy: 0.4860; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:41,303 INFO] Epoch:1, Snapshot:57; F1: 0.0000; Accuracy: 0.4880; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:42,132 INFO] Epoch:1, Snapshot:58; F1: 0.0000; Accuracy: 0.5030; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:43,101 INFO] Epoch:1, Snapshot:59; F1: 0.0000; Accuracy: 0.4640; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:44,007 INFO] Epoch:1, Snapshot:60; F1: 0.0000; Accuracy: 0.4920; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:45,023 INFO] Epoch:1, Snapshot:61; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:46,024 INFO] Epoch:1, Snapshot:62; F1: 0.0000; Accuracy: 0.5190; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:47,087 INFO] Epoch:1, Snapshot:63; F1: 0.0000; Accuracy: 0.4960; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:48,009 INFO] Epoch:1, Snapshot:64; F1: 0.0000; Accuracy: 0.5300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:48,868 INFO] Epoch:1, Snapshot:65; F1: 0.0000; Accuracy: 0.5310; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:49,900 INFO] Epoch:1, Snapshot:66; F1: 0.0000; Accuracy: 0.4400; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:50,734 INFO] Epoch:1, Snapshot:67; F1: 0.0000; Accuracy: 0.5000; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:51,510 INFO] Epoch:1, Snapshot:68; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:52,354 INFO] Epoch:1, Snapshot:69; F1: 0.0000; Accuracy: 0.5100; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:53,261 INFO] Epoch:1, Snapshot:70; F1: 0.0000; Accuracy: 0.4750; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:54,152 INFO] Epoch:1, Snapshot:71; F1: 0.0000; Accuracy: 0.5080; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:55,011 INFO] Epoch:1, Snapshot:72; F1: 0.0000; Accuracy: 0.5300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:55,730 INFO] Epoch:1, Snapshot:73; F1: 0.0000; Accuracy: 0.5710; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:56,527 INFO] Epoch:1, Snapshot:74; F1: 0.0000; Accuracy: 0.5560; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:57,309 INFO] Epoch:1, Snapshot:75; F1: 0.0000; Accuracy: 0.5390; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:58,106 INFO] Epoch:1, Snapshot:76; F1: 0.0000; Accuracy: 0.5160; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:59,044 INFO] Epoch:1, Snapshot:77; F1: 0.0000; Accuracy: 0.4960; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:11:59,950 INFO] Epoch:1, Snapshot:78; F1: 0.0000; Accuracy: 0.4560; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:00,841 INFO] Epoch:1, Snapshot:79; F1: 0.0000; Accuracy: 0.4760; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:01,654 INFO] Epoch:1, Snapshot:80; F1: 0.0000; Accuracy: 0.5000; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:02,623 INFO] Epoch:1, Snapshot:81; F1: 0.0000; Accuracy: 0.4820; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:03,467 INFO] Epoch:1, Snapshot:82; F1: 0.0000; Accuracy: 0.5330; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:04,452 INFO] Epoch:1, Snapshot:83; F1: 0.0000; Accuracy: 0.4750; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:05,296 INFO] Epoch:1, Snapshot:84; F1: 0.0000; Accuracy: 0.4820; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:06,156 INFO] Epoch:1, Snapshot:85; F1: 0.0000; Accuracy: 0.4740; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:07,015 INFO] Epoch:1, Snapshot:86; F1: 0.0000; Accuracy: 0.4930; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:07,907 INFO] Epoch:1, Snapshot:87; F1: 0.0000; Accuracy: 0.5160; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:08,798 INFO] Epoch:1, Snapshot:88; F1: 0.0000; Accuracy: 0.5080; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:09,860 INFO] Epoch:1, Snapshot:89; F1: 0.0000; Accuracy: 0.4570; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:10,642 INFO] Epoch:1, Snapshot:90; F1: 0.0000; Accuracy: 0.5210; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:11,548 INFO] Epoch:1, Snapshot:91; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:12,407 INFO] Epoch:1, Snapshot:92; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:13,220 INFO] Epoch:1, Snapshot:93; F1: 0.0000; Accuracy: 0.4980; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:13,986 INFO] Epoch:1, Snapshot:94; F1: 0.0000; Accuracy: 0.5130; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:14,892 INFO] Epoch:1, Snapshot:95; F1: 0.0000; Accuracy: 0.4750; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:15,846 INFO] Epoch:1, Snapshot:96; F1: 0.0000; Accuracy: 0.5020; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:16,752 INFO] Epoch:1, Snapshot:97; F1: 0.0000; Accuracy: 0.4700; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:17,518 INFO] Epoch:1, Snapshot:98; F1: 0.0000; Accuracy: 0.4870; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:18,393 INFO] Epoch:1, Snapshot:99; F1: 0.0000; Accuracy: 0.5110; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:19,487 INFO] Epoch:1, Snapshot:100; F1: 0.0000; Accuracy: 0.4860; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:20,378 INFO] Epoch:1, Snapshot:101; F1: 0.0000; Accuracy: 0.5270; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:21,223 INFO] Epoch:1, Snapshot:102; F1: 0.0000; Accuracy: 0.5070; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:22,113 INFO] Epoch:1, Snapshot:103; F1: 0.0000; Accuracy: 0.5110; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:22,895 INFO] Epoch:1, Snapshot:104; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:23,785 INFO] Epoch:1, Snapshot:105; F1: 0.0000; Accuracy: 0.5570; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:24,723 INFO] Epoch:1, Snapshot:106; F1: 0.0000; Accuracy: 0.5710; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:25,629 INFO] Epoch:1, Snapshot:107; F1: 0.0000; Accuracy: 0.5190; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:26,646 INFO] Epoch:1, Snapshot:108; F1: 0.0000; Accuracy: 0.4890; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:27,584 INFO] Epoch:1, Snapshot:109; F1: 0.0000; Accuracy: 0.5060; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:28,506 INFO] Epoch:1, Snapshot:110; F1: 0.0000; Accuracy: 0.5000; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:29,353 INFO] Epoch:1, Snapshot:111; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:30,398 INFO] Epoch:1, Snapshot:112; F1: 0.0000; Accuracy: 0.4960; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:31,304 INFO] Epoch:1, Snapshot:113; F1: 0.0000; Accuracy: 0.5120; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:32,383 INFO] Epoch:1, Snapshot:114; F1: 0.0000; Accuracy: 0.4730; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:33,461 INFO] Epoch:1, Snapshot:115; F1: 0.0000; Accuracy: 0.5250; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:34,446 INFO] Epoch:1, Snapshot:116; F1: 0.0000; Accuracy: 0.5070; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:35,493 INFO] Epoch:1, Snapshot:117; F1: 0.0000; Accuracy: 0.5240; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:36,447 INFO] Epoch:1, Snapshot:118; F1: 0.0000; Accuracy: 0.4780; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:37,431 INFO] Epoch:1, Snapshot:119; F1: 0.0000; Accuracy: 0.5100; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:38,431 INFO] Epoch:1, Snapshot:120; F1: 0.0000; Accuracy: 0.5160; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:39,400 INFO] Epoch:1, Snapshot:121; F1: 0.0000; Accuracy: 0.5030; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:40,307 INFO] Epoch:1, Snapshot:122; F1: 0.0000; Accuracy: 0.4620; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:41,291 INFO] Epoch:1, Snapshot:123; F1: 0.0000; Accuracy: 0.5130; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:41,291 INFO] Epoch:1, Snapshot: 5; Loss: 1.5131
+[2024-05-21 16:12:48,918 INFO] Epoch:1, Snapshot:37; F1: 0.0000; Accuracy: 0.4270; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4965
+[2024-05-21 16:12:49,762 INFO] Epoch:1, Snapshot:38; F1: 0.0037; Accuracy: 0.4600; Precision: 1.0000; Recall: 0.0018; ROC AUC: 0.5009
+[2024-05-21 16:12:50,481 INFO] Epoch:1, Snapshot:39; F1: 0.0042; Accuracy: 0.5280; Precision: 0.5000; Recall: 0.0021; ROC AUC: 0.5001
+[2024-05-21 16:12:51,294 INFO] Epoch:1, Snapshot:40; F1: 0.0038; Accuracy: 0.4790; Precision: 0.5000; Recall: 0.0019; ROC AUC: 0.4999
+[2024-05-21 16:12:52,028 INFO] Epoch:1, Snapshot:41; F1: 0.0084; Accuracy: 0.5270; Precision: 0.6667; Recall: 0.0042; ROC AUC: 0.5012
+[2024-05-21 16:12:52,888 INFO] Epoch:1, Snapshot:42; F1: 0.0082; Accuracy: 0.5170; Precision: 0.5000; Recall: 0.0041; ROC AUC: 0.5001
+[2024-05-21 16:12:53,670 INFO] Epoch:1, Snapshot:43; F1: 0.0000; Accuracy: 0.5400; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:12:54,498 INFO] Epoch:1, Snapshot:44; F1: 0.0037; Accuracy: 0.4590; Precision: 0.5000; Recall: 0.0018; ROC AUC: 0.4998
+[2024-05-21 16:12:55,373 INFO] Epoch:1, Snapshot:45; F1: 0.0074; Accuracy: 0.4640; Precision: 1.0000; Recall: 0.0037; ROC AUC: 0.5019
+[2024-05-21 16:12:56,280 INFO] Epoch:1, Snapshot:46; F1: 0.0000; Accuracy: 0.4940; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4970
+[2024-05-21 16:12:57,030 INFO] Epoch:1, Snapshot:47; F1: 0.0042; Accuracy: 0.5290; Precision: 0.5000; Recall: 0.0021; ROC AUC: 0.5001
+[2024-05-21 16:12:57,970 INFO] Epoch:1, Snapshot:48; F1: 0.0042; Accuracy: 0.5280; Precision: 0.5000; Recall: 0.0021; ROC AUC: 0.5001
+[2024-05-21 16:12:58,874 INFO] Epoch:1, Snapshot:49; F1: 0.0000; Accuracy: 0.4890; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4990
+[2024-05-21 16:12:59,702 INFO] Epoch:1, Snapshot:50; F1: 0.0043; Accuracy: 0.5340; Precision: 0.5000; Recall: 0.0021; ROC AUC: 0.5001
+[2024-05-21 16:13:00,562 INFO] Epoch:1, Snapshot:51; F1: 0.0000; Accuracy: 0.5100; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4990
+[2024-05-21 16:13:01,422 INFO] Epoch:1, Snapshot:52; F1: 0.0039; Accuracy: 0.4850; Precision: 1.0000; Recall: 0.0019; ROC AUC: 0.5010
+[2024-05-21 16:13:02,312 INFO] Epoch:1, Snapshot:53; F1: 0.0000; Accuracy: 0.4820; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4990
+[2024-05-21 16:13:03,110 INFO] Epoch:1, Snapshot:54; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:13:03,970 INFO] Epoch:1, Snapshot:55; F1: 0.0075; Accuracy: 0.4690; Precision: 1.0000; Recall: 0.0038; ROC AUC: 0.5019
+[2024-05-21 16:13:04,813 INFO] Epoch:1, Snapshot:56; F1: 0.0000; Accuracy: 0.4850; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4990
+[2024-05-21 16:13:05,626 INFO] Epoch:1, Snapshot:57; F1: 0.0039; Accuracy: 0.4870; Precision: 0.3333; Recall: 0.0020; ROC AUC: 0.4989
+[2024-05-21 16:13:06,408 INFO] Epoch:1, Snapshot:58; F1: 0.0040; Accuracy: 0.5030; Precision: 0.5000; Recall: 0.0020; ROC AUC: 0.5000
+[2024-05-21 16:13:07,361 INFO] Epoch:1, Snapshot:59; F1: 0.0000; Accuracy: 0.4610; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4968
+[2024-05-21 16:13:08,221 INFO] Epoch:1, Snapshot:60; F1: 0.0078; Accuracy: 0.4930; Precision: 0.6667; Recall: 0.0039; ROC AUC: 0.5010
+[2024-05-21 16:13:09,206 INFO] Epoch:1, Snapshot:61; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:13:10,206 INFO] Epoch:1, Snapshot:62; F1: 0.0041; Accuracy: 0.5200; Precision: 1.0000; Recall: 0.0021; ROC AUC: 0.5010
+[2024-05-21 16:13:11,237 INFO] Epoch:1, Snapshot:63; F1: 0.0040; Accuracy: 0.4960; Precision: 0.5000; Recall: 0.0020; ROC AUC: 0.5000
+[2024-05-21 16:13:12,175 INFO] Epoch:1, Snapshot:64; F1: 0.0042; Accuracy: 0.5310; Precision: 1.0000; Recall: 0.0021; ROC AUC: 0.5011
+[2024-05-21 16:13:13,066 INFO] Epoch:1, Snapshot:65; F1: 0.0043; Accuracy: 0.5320; Precision: 1.0000; Recall: 0.0021; ROC AUC: 0.5011
+[2024-05-21 16:13:14,035 INFO] Epoch:1, Snapshot:66; F1: 0.0071; Accuracy: 0.4400; Precision: 0.5000; Recall: 0.0036; ROC AUC: 0.4995
+[2024-05-21 16:13:14,847 INFO] Epoch:1, Snapshot:67; F1: 0.0000; Accuracy: 0.4990; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4990
+[2024-05-21 16:13:15,628 INFO] Epoch:1, Snapshot:68; F1: 0.0082; Accuracy: 0.5170; Precision: 0.4000; Recall: 0.0041; ROC AUC: 0.4992
+[2024-05-21 16:13:16,519 INFO] Epoch:1, Snapshot:69; F1: 0.0081; Accuracy: 0.5120; Precision: 1.0000; Recall: 0.0041; ROC AUC: 0.5020
+[2024-05-21 16:13:17,426 INFO] Epoch:1, Snapshot:70; F1: 0.0038; Accuracy: 0.4760; Precision: 1.0000; Recall: 0.0019; ROC AUC: 0.5010
+[2024-05-21 16:13:18,301 INFO] Epoch:1, Snapshot:71; F1: 0.0000; Accuracy: 0.5060; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4980
+[2024-05-21 16:13:19,129 INFO] Epoch:1, Snapshot:72; F1: 0.0042; Accuracy: 0.5300; Precision: 0.5000; Recall: 0.0021; ROC AUC: 0.5001
+[2024-05-21 16:13:19,833 INFO] Epoch:1, Snapshot:73; F1: 0.0139; Accuracy: 0.5740; Precision: 1.0000; Recall: 0.0070; ROC AUC: 0.5035
+[2024-05-21 16:13:20,598 INFO] Epoch:1, Snapshot:74; F1: 0.0045; Accuracy: 0.5570; Precision: 1.0000; Recall: 0.0023; ROC AUC: 0.5011
+[2024-05-21 16:13:21,427 INFO] Epoch:1, Snapshot:75; F1: 0.0086; Accuracy: 0.5400; Precision: 0.6667; Recall: 0.0043; ROC AUC: 0.5012
+[2024-05-21 16:13:22,192 INFO] Epoch:1, Snapshot:76; F1: 0.0082; Accuracy: 0.5160; Precision: 0.5000; Recall: 0.0041; ROC AUC: 0.5001
+[2024-05-21 16:13:23,099 INFO] Epoch:1, Snapshot:77; F1: 0.0000; Accuracy: 0.4950; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4990
+[2024-05-21 16:13:24,006 INFO] Epoch:1, Snapshot:78; F1: 0.0037; Accuracy: 0.4560; Precision: 0.5000; Recall: 0.0018; ROC AUC: 0.4998
+[2024-05-21 16:13:24,896 INFO] Epoch:1, Snapshot:79; F1: 0.0076; Accuracy: 0.4780; Precision: 1.0000; Recall: 0.0038; ROC AUC: 0.5019
+[2024-05-21 16:13:25,709 INFO] Epoch:1, Snapshot:80; F1: 0.0080; Accuracy: 0.5020; Precision: 1.0000; Recall: 0.0040; ROC AUC: 0.5020
+[2024-05-21 16:13:26,662 INFO] Epoch:1, Snapshot:81; F1: 0.0038; Accuracy: 0.4820; Precision: 0.5000; Recall: 0.0019; ROC AUC: 0.4999
+[2024-05-21 16:13:27,491 INFO] Epoch:1, Snapshot:82; F1: 0.0128; Accuracy: 0.5360; Precision: 1.0000; Recall: 0.0064; ROC AUC: 0.5032
+[2024-05-21 16:13:28,491 INFO] Epoch:1, Snapshot:83; F1: 0.0075; Accuracy: 0.4740; Precision: 0.4000; Recall: 0.0038; ROC AUC: 0.4987
+[2024-05-21 16:13:29,351 INFO] Epoch:1, Snapshot:84; F1: 0.0000; Accuracy: 0.4820; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:13:30,226 INFO] Epoch:1, Snapshot:85; F1: 0.0000; Accuracy: 0.4740; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:13:31,148 INFO] Epoch:1, Snapshot:86; F1: 0.0000; Accuracy: 0.4930; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:13:32,039 INFO] Epoch:1, Snapshot:87; F1: 0.0041; Accuracy: 0.5170; Precision: 1.0000; Recall: 0.0021; ROC AUC: 0.5010
+[2024-05-21 16:13:32,867 INFO] Epoch:1, Snapshot:88; F1: 0.0041; Accuracy: 0.5090; Precision: 1.0000; Recall: 0.0020; ROC AUC: 0.5010
+[2024-05-21 16:13:33,914 INFO] Epoch:1, Snapshot:89; F1: 0.0073; Accuracy: 0.4560; Precision: 0.4000; Recall: 0.0037; ROC AUC: 0.4986
+[2024-05-21 16:13:34,696 INFO] Epoch:1, Snapshot:90; F1: 0.0042; Accuracy: 0.5210; Precision: 0.5000; Recall: 0.0021; ROC AUC: 0.5001
+[2024-05-21 16:13:35,602 INFO] Epoch:1, Snapshot:91; F1: 0.0037; Accuracy: 0.4590; Precision: 0.5000; Recall: 0.0018; ROC AUC: 0.4998
+[2024-05-21 16:13:36,477 INFO] Epoch:1, Snapshot:92; F1: 0.0041; Accuracy: 0.5180; Precision: 0.5000; Recall: 0.0021; ROC AUC: 0.5001
+[2024-05-21 16:13:37,290 INFO] Epoch:1, Snapshot:93; F1: 0.0039; Accuracy: 0.4950; Precision: 0.2000; Recall: 0.0020; ROC AUC: 0.4970
+[2024-05-21 16:13:38,071 INFO] Epoch:1, Snapshot:94; F1: 0.0000; Accuracy: 0.5100; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4971
+[2024-05-21 16:13:38,931 INFO] Epoch:1, Snapshot:95; F1: 0.0113; Accuracy: 0.4760; Precision: 0.6000; Recall: 0.0057; ROC AUC: 0.5008
+[2024-05-21 16:13:39,822 INFO] Epoch:1, Snapshot:96; F1: 0.0000; Accuracy: 0.5010; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4990
+[2024-05-21 16:13:40,791 INFO] Epoch:1, Snapshot:97; F1: 0.0075; Accuracy: 0.4720; Precision: 1.0000; Recall: 0.0038; ROC AUC: 0.5019
+[2024-05-21 16:13:41,557 INFO] Epoch:1, Snapshot:98; F1: 0.0039; Accuracy: 0.4860; Precision: 0.3333; Recall: 0.0019; ROC AUC: 0.4989
+[2024-05-21 16:13:42,401 INFO] Epoch:1, Snapshot:99; F1: 0.0122; Accuracy: 0.5130; Precision: 0.7500; Recall: 0.0061; ROC AUC: 0.5021
+[2024-05-21 16:13:43,526 INFO] Epoch:1, Snapshot:100; F1: 0.0039; Accuracy: 0.4850; Precision: 0.3333; Recall: 0.0019; ROC AUC: 0.4989
+[2024-05-21 16:13:44,417 INFO] Epoch:1, Snapshot:101; F1: 0.0000; Accuracy: 0.5250; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4981
+[2024-05-21 16:13:45,308 INFO] Epoch:1, Snapshot:102; F1: 0.0040; Accuracy: 0.5070; Precision: 0.5000; Recall: 0.0020; ROC AUC: 0.5000
+[2024-05-21 16:13:46,168 INFO] Epoch:1, Snapshot:103; F1: 0.0041; Accuracy: 0.5110; Precision: 0.5000; Recall: 0.0020; ROC AUC: 0.5000
+[2024-05-21 16:13:46,965 INFO] Epoch:1, Snapshot:104; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:13:47,903 INFO] Epoch:1, Snapshot:105; F1: 0.0000; Accuracy: 0.5570; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:13:48,856 INFO] Epoch:1, Snapshot:106; F1: 0.0000; Accuracy: 0.5700; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4991
+[2024-05-21 16:13:49,747 INFO] Epoch:1, Snapshot:107; F1: 0.0041; Accuracy: 0.5190; Precision: 0.5000; Recall: 0.0021; ROC AUC: 0.5001
+[2024-05-21 16:13:50,748 INFO] Epoch:1, Snapshot:108; F1: 0.0039; Accuracy: 0.4880; Precision: 0.3333; Recall: 0.0020; ROC AUC: 0.4989
+[2024-05-21 16:13:51,670 INFO] Epoch:1, Snapshot:109; F1: 0.0000; Accuracy: 0.5040; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4980
+[2024-05-21 16:13:52,530 INFO] Epoch:1, Snapshot:110; F1: 0.0040; Accuracy: 0.5000; Precision: 0.5000; Recall: 0.0020; ROC AUC: 0.5000
+[2024-05-21 16:13:53,342 INFO] Epoch:1, Snapshot:111; F1: 0.0000; Accuracy: 0.5240; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4962
+[2024-05-21 16:13:54,390 INFO] Epoch:1, Snapshot:112; F1: 0.0040; Accuracy: 0.4960; Precision: 0.5000; Recall: 0.0020; ROC AUC: 0.5000
+[2024-05-21 16:13:55,281 INFO] Epoch:1, Snapshot:113; F1: 0.0041; Accuracy: 0.5130; Precision: 1.0000; Recall: 0.0020; ROC AUC: 0.5010
+[2024-05-21 16:13:56,407 INFO] Epoch:1, Snapshot:114; F1: 0.0075; Accuracy: 0.4740; Precision: 0.6667; Recall: 0.0038; ROC AUC: 0.5008
+[2024-05-21 16:13:57,470 INFO] Epoch:1, Snapshot:115; F1: 0.0000; Accuracy: 0.5250; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:13:58,486 INFO] Epoch:1, Snapshot:116; F1: 0.0000; Accuracy: 0.5070; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:13:59,581 INFO] Epoch:1, Snapshot:117; F1: 0.0000; Accuracy: 0.5240; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:14:00,581 INFO] Epoch:1, Snapshot:118; F1: 0.0038; Accuracy: 0.4780; Precision: 0.5000; Recall: 0.0019; ROC AUC: 0.4999
+[2024-05-21 16:14:01,597 INFO] Epoch:1, Snapshot:119; F1: 0.0041; Accuracy: 0.5110; Precision: 1.0000; Recall: 0.0020; ROC AUC: 0.5010
+[2024-05-21 16:14:02,598 INFO] Epoch:1, Snapshot:120; F1: 0.0041; Accuracy: 0.5140; Precision: 0.2500; Recall: 0.0021; ROC AUC: 0.4981
+[2024-05-21 16:14:03,520 INFO] Epoch:1, Snapshot:121; F1: 0.0080; Accuracy: 0.5050; Precision: 1.0000; Recall: 0.0040; ROC AUC: 0.5020
+[2024-05-21 16:14:04,395 INFO] Epoch:1, Snapshot:122; F1: 0.0111; Accuracy: 0.4640; Precision: 0.7500; Recall: 0.0056; ROC AUC: 0.5017
+[2024-05-21 16:14:05,395 INFO] Epoch:1, Snapshot:123; F1: 0.0000; Accuracy: 0.5120; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4990
+[2024-05-21 16:14:05,411 INFO] Epoch:1, Snapshot: 6; Loss: 1.0166
+[2024-05-21 16:14:12,602 INFO] Epoch:1, Snapshot:37; F1: 0.1407; Accuracy: 0.4260; Precision: 0.4796; Recall: 0.0825; ROC AUC: 0.4819
+[2024-05-21 16:14:13,493 INFO] Epoch:1, Snapshot:38; F1: 0.1288; Accuracy: 0.4590; Precision: 0.5000; Recall: 0.0739; ROC AUC: 0.4934
+[2024-05-21 16:14:14,212 INFO] Epoch:1, Snapshot:39; F1: 0.1319; Accuracy: 0.5260; Precision: 0.4865; Recall: 0.0763; ROC AUC: 0.5022
+[2024-05-21 16:14:15,024 INFO] Epoch:1, Snapshot:40; F1: 0.1340; Accuracy: 0.4700; Precision: 0.4505; Recall: 0.0787; ROC AUC: 0.4872
+[2024-05-21 16:14:15,759 INFO] Epoch:1, Snapshot:41; F1: 0.1389; Accuracy: 0.5290; Precision: 0.5205; Recall: 0.0802; ROC AUC: 0.5068
+[2024-05-21 16:14:16,651 INFO] Epoch:1, Snapshot:42; F1: 0.1473; Accuracy: 0.5020; Precision: 0.4257; Recall: 0.0890; ROC AUC: 0.4884
+[2024-05-21 16:14:17,448 INFO] Epoch:1, Snapshot:43; F1: 0.1289; Accuracy: 0.5270; Precision: 0.4217; Recall: 0.0761; ROC AUC: 0.4936
+[2024-05-21 16:14:18,246 INFO] Epoch:1, Snapshot:44; F1: 0.1392; Accuracy: 0.4560; Precision: 0.4835; Recall: 0.0813; ROC AUC: 0.4895
+[2024-05-21 16:14:19,153 INFO] Epoch:1, Snapshot:45; F1: 0.1556; Accuracy: 0.4680; Precision: 0.5326; Recall: 0.0911; ROC AUC: 0.4990
+[2024-05-21 16:14:20,043 INFO] Epoch:1, Snapshot:46; F1: 0.1723; Accuracy: 0.5100; Precision: 0.5730; Recall: 0.1014; ROC AUC: 0.5125
+[2024-05-21 16:14:20,809 INFO] Epoch:1, Snapshot:47; F1: 0.1480; Accuracy: 0.5280; Precision: 0.4940; Recall: 0.0870; ROC AUC: 0.5038
+[2024-05-21 16:14:21,731 INFO] Epoch:1, Snapshot:48; F1: 0.1429; Accuracy: 0.5200; Precision: 0.4545; Recall: 0.0847; ROC AUC: 0.4969
+[2024-05-21 16:14:22,607 INFO] Epoch:1, Snapshot:49; F1: 0.1242; Accuracy: 0.4780; Precision: 0.4302; Recall: 0.0725; ROC AUC: 0.4863
+[2024-05-21 16:14:23,482 INFO] Epoch:1, Snapshot:50; F1: 0.1496; Accuracy: 0.5340; Precision: 0.5000; Recall: 0.0880; ROC AUC: 0.5056
+[2024-05-21 16:14:24,326 INFO] Epoch:1, Snapshot:51; F1: 0.1317; Accuracy: 0.4990; Precision: 0.4318; Recall: 0.0777; ROC AUC: 0.4899
+[2024-05-21 16:14:25,170 INFO] Epoch:1, Snapshot:52; F1: 0.1768; Accuracy: 0.4970; Precision: 0.5684; Recall: 0.1047; ROC AUC: 0.5100
+[2024-05-21 16:14:26,092 INFO] Epoch:1, Snapshot:53; F1: 0.1210; Accuracy: 0.4770; Precision: 0.4615; Recall: 0.0696; ROC AUC: 0.4913
+[2024-05-21 16:14:26,890 INFO] Epoch:1, Snapshot:54; F1: 0.1773; Accuracy: 0.5360; Precision: 0.5435; Recall: 0.1059; ROC AUC: 0.5132
+[2024-05-21 16:14:27,749 INFO] Epoch:1, Snapshot:55; F1: 0.1506; Accuracy: 0.4700; Precision: 0.5165; Recall: 0.0882; ROC AUC: 0.4970
+[2024-05-21 16:14:28,610 INFO] Epoch:1, Snapshot:56; F1: 0.1699; Accuracy: 0.4920; Precision: 0.5306; Recall: 0.1012; ROC AUC: 0.5033
+[2024-05-21 16:14:29,375 INFO] Epoch:1, Snapshot:57; F1: 0.1863; Accuracy: 0.5020; Precision: 0.5700; Recall: 0.1113; ROC AUC: 0.5116
+[2024-05-21 16:14:30,188 INFO] Epoch:1, Snapshot:58; F1: 0.1189; Accuracy: 0.4960; Precision: 0.4533; Recall: 0.0684; ROC AUC: 0.4934
+[2024-05-21 16:14:31,157 INFO] Epoch:1, Snapshot:59; F1: 0.1556; Accuracy: 0.4680; Precision: 0.5213; Recall: 0.0914; ROC AUC: 0.4972
+[2024-05-21 16:14:32,001 INFO] Epoch:1, Snapshot:60; F1: 0.1395; Accuracy: 0.4940; Precision: 0.5125; Recall: 0.0807; ROC AUC: 0.5007
+[2024-05-21 16:14:33,001 INFO] Epoch:1, Snapshot:61; F1: 0.1573; Accuracy: 0.5070; Precision: 0.4466; Recall: 0.0954; ROC AUC: 0.4927
+[2024-05-21 16:14:34,033 INFO] Epoch:1, Snapshot:62; F1: 0.1485; Accuracy: 0.5070; Precision: 0.4388; Recall: 0.0894; ROC AUC: 0.4917
+[2024-05-21 16:14:35,080 INFO] Epoch:1, Snapshot:63; F1: 0.1633; Accuracy: 0.5080; Precision: 0.5714; Recall: 0.0952; ROC AUC: 0.5113
+[2024-05-21 16:14:36,018 INFO] Epoch:1, Snapshot:64; F1: 0.1360; Accuracy: 0.5170; Precision: 0.4270; Recall: 0.0809; ROC AUC: 0.4923
+[2024-05-21 16:14:36,893 INFO] Epoch:1, Snapshot:65; F1: 0.1670; Accuracy: 0.5310; Precision: 0.5000; Recall: 0.1002; ROC AUC: 0.5059
+[2024-05-21 16:14:37,910 INFO] Epoch:1, Snapshot:66; F1: 0.1536; Accuracy: 0.4490; Precision: 0.5495; Recall: 0.0893; ROC AUC: 0.4981
+[2024-05-21 16:14:38,754 INFO] Epoch:1, Snapshot:67; F1: 0.1465; Accuracy: 0.4990; Precision: 0.4943; Recall: 0.0860; ROC AUC: 0.4990
+[2024-05-21 16:14:39,613 INFO] Epoch:1, Snapshot:68; F1: 0.1890; Accuracy: 0.5280; Precision: 0.5500; Recall: 0.1141; ROC AUC: 0.5136
+[2024-05-21 16:14:40,473 INFO] Epoch:1, Snapshot:69; F1: 0.1640; Accuracy: 0.5210; Precision: 0.5663; Recall: 0.0959; ROC AUC: 0.5127
+[2024-05-21 16:14:41,364 INFO] Epoch:1, Snapshot:70; F1: 0.1344; Accuracy: 0.4720; Precision: 0.4824; Recall: 0.0781; ROC AUC: 0.4927
+[2024-05-21 16:14:42,192 INFO] Epoch:1, Snapshot:71; F1: 0.1485; Accuracy: 0.5070; Precision: 0.4943; Recall: 0.0874; ROC AUC: 0.5004
+[2024-05-21 16:14:43,052 INFO] Epoch:1, Snapshot:72; F1: 0.1860; Accuracy: 0.5360; Precision: 0.5300; Recall: 0.1128; ROC AUC: 0.5120
+[2024-05-21 16:14:43,740 INFO] Epoch:1, Snapshot:73; F1: 0.1260; Accuracy: 0.5420; Precision: 0.3474; Recall: 0.0769; ROC AUC: 0.4842
+[2024-05-21 16:14:44,510 INFO] Epoch:1, Snapshot:74; F1: 0.1568; Accuracy: 0.5590; Precision: 0.5190; Recall: 0.0923; ROC AUC: 0.5120
+[2024-05-21 16:14:45,349 INFO] Epoch:1, Snapshot:75; F1: 0.1530; Accuracy: 0.5350; Precision: 0.4773; Recall: 0.0911; ROC AUC: 0.5029
+[2024-05-21 16:14:46,178 INFO] Epoch:1, Snapshot:76; F1: 0.1600; Accuracy: 0.5170; Precision: 0.5055; Recall: 0.0950; ROC AUC: 0.5039
+[2024-05-21 16:14:47,084 INFO] Epoch:1, Snapshot:77; F1: 0.1465; Accuracy: 0.4990; Precision: 0.5181; Recall: 0.0853; ROC AUC: 0.5023
+[2024-05-21 16:14:48,053 INFO] Epoch:1, Snapshot:78; F1: 0.1984; Accuracy: 0.4910; Precision: 0.6923; Recall: 0.1158; ROC AUC: 0.5272
+[2024-05-21 16:14:48,975 INFO] Epoch:1, Snapshot:79; F1: 0.1304; Accuracy: 0.4800; Precision: 0.5270; Recall: 0.0744; ROC AUC: 0.5004
+[2024-05-21 16:14:49,788 INFO] Epoch:1, Snapshot:80; F1: 0.1345; Accuracy: 0.4980; Precision: 0.4875; Recall: 0.0780; ROC AUC: 0.4980
+[2024-05-21 16:14:50,725 INFO] Epoch:1, Snapshot:81; F1: 0.1680; Accuracy: 0.4950; Precision: 0.5730; Recall: 0.0985; ROC AUC: 0.5098
+[2024-05-21 16:14:51,601 INFO] Epoch:1, Snapshot:82; F1: 0.1818; Accuracy: 0.5410; Precision: 0.5426; Recall: 0.1092; ROC AUC: 0.5143
+[2024-05-21 16:14:52,601 INFO] Epoch:1, Snapshot:83; F1: 0.1923; Accuracy: 0.4960; Precision: 0.6061; Recall: 0.1143; ROC AUC: 0.5161
+[2024-05-21 16:14:53,460 INFO] Epoch:1, Snapshot:84; F1: 0.1283; Accuracy: 0.4700; Precision: 0.4333; Recall: 0.0753; ROC AUC: 0.4847
+[2024-05-21 16:14:54,304 INFO] Epoch:1, Snapshot:85; F1: 0.1456; Accuracy: 0.4720; Precision: 0.4891; Recall: 0.0856; ROC AUC: 0.4932
+[2024-05-21 16:14:55,179 INFO] Epoch:1, Snapshot:86; F1: 0.1465; Accuracy: 0.4990; Precision: 0.5375; Recall: 0.0848; ROC AUC: 0.5049
+[2024-05-21 16:14:56,102 INFO] Epoch:1, Snapshot:87; F1: 0.1592; Accuracy: 0.5140; Precision: 0.4894; Recall: 0.0950; ROC AUC: 0.5010
+[2024-05-21 16:14:56,961 INFO] Epoch:1, Snapshot:88; F1: 0.1607; Accuracy: 0.5090; Precision: 0.5054; Recall: 0.0955; ROC AUC: 0.5025
+[2024-05-21 16:14:58,024 INFO] Epoch:1, Snapshot:89; F1: 0.1669; Accuracy: 0.4710; Precision: 0.5761; Recall: 0.0976; ROC AUC: 0.5061
+[2024-05-21 16:14:58,774 INFO] Epoch:1, Snapshot:90; F1: 0.1338; Accuracy: 0.5080; Precision: 0.4270; Recall: 0.0793; ROC AUC: 0.4907
+[2024-05-21 16:14:59,680 INFO] Epoch:1, Snapshot:91; F1: 0.1410; Accuracy: 0.4640; Precision: 0.5301; Recall: 0.0813; ROC AUC: 0.4982
+[2024-05-21 16:15:00,571 INFO] Epoch:1, Snapshot:92; F1: 0.1492; Accuracy: 0.5210; Precision: 0.5185; Recall: 0.0871; ROC AUC: 0.5059
+[2024-05-21 16:15:01,369 INFO] Epoch:1, Snapshot:93; F1: 0.1209; Accuracy: 0.4910; Precision: 0.4545; Recall: 0.0697; ROC AUC: 0.4927
+[2024-05-21 16:15:02,119 INFO] Epoch:1, Snapshot:94; F1: 0.1809; Accuracy: 0.5290; Precision: 0.5909; Recall: 0.1068; ROC AUC: 0.5183
+[2024-05-21 16:15:02,963 INFO] Epoch:1, Snapshot:95; F1: 0.1773; Accuracy: 0.5080; Precision: 0.7260; Recall: 0.1010; ROC AUC: 0.5294
+[2024-05-21 16:15:03,916 INFO] Epoch:1, Snapshot:96; F1: 0.1554; Accuracy: 0.5110; Precision: 0.5556; Recall: 0.0904; ROC AUC: 0.5093
+[2024-05-21 16:15:04,839 INFO] Epoch:1, Snapshot:97; F1: 0.1677; Accuracy: 0.4740; Precision: 0.5196; Recall: 0.1000; ROC AUC: 0.4979
+[2024-05-21 16:15:05,636 INFO] Epoch:1, Snapshot:98; F1: 0.1284; Accuracy: 0.4840; Precision: 0.4810; Recall: 0.0741; ROC AUC: 0.4949
+[2024-05-21 16:15:06,480 INFO] Epoch:1, Snapshot:99; F1: 0.1570; Accuracy: 0.5060; Precision: 0.4742; Recall: 0.0941; ROC AUC: 0.4971
+[2024-05-21 16:15:07,590 INFO] Epoch:1, Snapshot:100; F1: 0.1493; Accuracy: 0.4870; Precision: 0.5056; Recall: 0.0875; ROC AUC: 0.4985
+[2024-05-21 16:15:08,465 INFO] Epoch:1, Snapshot:101; F1: 0.1690; Accuracy: 0.5180; Precision: 0.4579; Recall: 0.1036; ROC AUC: 0.4968
+[2024-05-21 16:15:09,356 INFO] Epoch:1, Snapshot:102; F1: 0.1101; Accuracy: 0.4990; Precision: 0.4429; Recall: 0.0629; ROC AUC: 0.4930
+[2024-05-21 16:15:10,216 INFO] Epoch:1, Snapshot:103; F1: 0.1692; Accuracy: 0.5090; Precision: 0.4902; Recall: 0.1022; ROC AUC: 0.5002
+[2024-05-21 16:15:11,075 INFO] Epoch:1, Snapshot:104; F1: 0.1742; Accuracy: 0.5260; Precision: 0.5435; Recall: 0.1037; ROC AUC: 0.5113
+[2024-05-21 16:15:11,966 INFO] Epoch:1, Snapshot:105; F1: 0.1561; Accuracy: 0.5460; Precision: 0.4421; Recall: 0.0948; ROC AUC: 0.4998
+[2024-05-21 16:15:12,889 INFO] Epoch:1, Snapshot:106; F1: 0.1550; Accuracy: 0.5640; Precision: 0.4598; Recall: 0.0932; ROC AUC: 0.5055
+[2024-05-21 16:15:13,779 INFO] Epoch:1, Snapshot:107; F1: 0.1750; Accuracy: 0.5190; Precision: 0.5000; Recall: 0.1060; ROC AUC: 0.5039
+[2024-05-21 16:15:14,796 INFO] Epoch:1, Snapshot:108; F1: 0.1886; Accuracy: 0.5010; Precision: 0.5577; Recall: 0.1135; ROC AUC: 0.5097
+[2024-05-21 16:15:15,717 INFO] Epoch:1, Snapshot:109; F1: 0.1607; Accuracy: 0.5090; Precision: 0.5165; Recall: 0.0951; ROC AUC: 0.5041
+[2024-05-21 16:15:16,577 INFO] Epoch:1, Snapshot:110; F1: 0.1384; Accuracy: 0.5020; Precision: 0.5128; Recall: 0.0800; ROC AUC: 0.5020
+[2024-05-21 16:15:17,437 INFO] Epoch:1, Snapshot:111; F1: 0.1869; Accuracy: 0.5390; Precision: 0.5579; Recall: 0.1123; ROC AUC: 0.5164
+[2024-05-21 16:15:18,499 INFO] Epoch:1, Snapshot:112; F1: 0.1546; Accuracy: 0.4970; Precision: 0.5055; Recall: 0.0913; ROC AUC: 0.5003
+[2024-05-21 16:15:19,390 INFO] Epoch:1, Snapshot:113; F1: 0.1618; Accuracy: 0.5130; Precision: 0.5054; Recall: 0.0963; ROC AUC: 0.5032
+[2024-05-21 16:15:20,469 INFO] Epoch:1, Snapshot:114; F1: 0.1592; Accuracy: 0.4720; Precision: 0.4950; Recall: 0.0949; ROC AUC: 0.4935
+[2024-05-21 16:15:21,516 INFO] Epoch:1, Snapshot:115; F1: 0.1481; Accuracy: 0.5170; Precision: 0.4565; Recall: 0.0884; ROC AUC: 0.4966
+[2024-05-21 16:15:22,533 INFO] Epoch:1, Snapshot:116; F1: 0.1197; Accuracy: 0.5000; Precision: 0.4533; Recall: 0.0690; ROC AUC: 0.4940
+[2024-05-21 16:15:23,611 INFO] Epoch:1, Snapshot:117; F1: 0.1338; Accuracy: 0.5210; Precision: 0.4805; Recall: 0.0777; ROC AUC: 0.5007
+[2024-05-21 16:15:24,611 INFO] Epoch:1, Snapshot:118; F1: 0.1426; Accuracy: 0.4830; Precision: 0.5309; Recall: 0.0824; ROC AUC: 0.5014
+[2024-05-21 16:15:25,611 INFO] Epoch:1, Snapshot:119; F1: 0.1836; Accuracy: 0.5110; Precision: 0.5046; Recall: 0.1122; ROC AUC: 0.5032
+[2024-05-21 16:15:26,619 INFO] Epoch:1, Snapshot:120; F1: 0.1209; Accuracy: 0.4910; Precision: 0.3684; Recall: 0.0723; ROC AUC: 0.4780
+[2024-05-21 16:15:27,582 INFO] Epoch:1, Snapshot:121; F1: 0.1433; Accuracy: 0.4980; Precision: 0.4719; Recall: 0.0845; ROC AUC: 0.4955
+[2024-05-21 16:15:28,457 INFO] Epoch:1, Snapshot:122; F1: 0.1517; Accuracy: 0.4630; Precision: 0.5053; Recall: 0.0892; ROC AUC: 0.4937
+[2024-05-21 16:15:29,504 INFO] Epoch:1, Snapshot:123; F1: 0.1503; Accuracy: 0.5250; Precision: 0.5833; Recall: 0.0862; ROC AUC: 0.5139
+[2024-05-21 16:15:29,504 INFO] Epoch:1, Snapshot: 7; Loss: 1.1613
+[2024-05-21 16:15:36,302 INFO] Epoch:1, Snapshot:37; F1: 0.6955; Accuracy: 0.5490; Precision: 0.5653; Recall: 0.9035; ROC AUC: 0.4913
+[2024-05-21 16:15:37,146 INFO] Epoch:1, Snapshot:38; F1: 0.6629; Accuracy: 0.5180; Precision: 0.5332; Recall: 0.8762; ROC AUC: 0.4860
+[2024-05-21 16:15:37,865 INFO] Epoch:1, Snapshot:39; F1: 0.6193; Accuracy: 0.4800; Precision: 0.4732; Recall: 0.8962; ROC AUC: 0.5021
+[2024-05-21 16:15:38,646 INFO] Epoch:1, Snapshot:40; F1: 0.6562; Accuracy: 0.5180; Precision: 0.5221; Recall: 0.8829; ROC AUC: 0.5020
+[2024-05-21 16:15:39,412 INFO] Epoch:1, Snapshot:41; F1: 0.6277; Accuracy: 0.4910; Precision: 0.4804; Recall: 0.9051; ROC AUC: 0.5115
+[2024-05-21 16:15:40,240 INFO] Epoch:1, Snapshot:42; F1: 0.6407; Accuracy: 0.5010; Precision: 0.4912; Recall: 0.9213; ROC AUC: 0.5148
+[2024-05-21 16:15:41,084 INFO] Epoch:1, Snapshot:43; F1: 0.6108; Accuracy: 0.4660; Precision: 0.4594; Recall: 0.9109; ROC AUC: 0.4990
+[2024-05-21 16:15:41,897 INFO] Epoch:1, Snapshot:44; F1: 0.6857; Accuracy: 0.5480; Precision: 0.5496; Recall: 0.9113; ROC AUC: 0.5156
+[2024-05-21 16:15:42,757 INFO] Epoch:1, Snapshot:45; F1: 0.6704; Accuracy: 0.5260; Precision: 0.5356; Recall: 0.8959; ROC AUC: 0.4956
+[2024-05-21 16:15:43,694 INFO] Epoch:1, Snapshot:46; F1: 0.6500; Accuracy: 0.5110; Precision: 0.5078; Recall: 0.9026; ROC AUC: 0.5086
+[2024-05-21 16:15:44,481 INFO] Epoch:1, Snapshot:47; F1: 0.6103; Accuracy: 0.4650; Precision: 0.4645; Recall: 0.8896; ROC AUC: 0.4883
+[2024-05-21 16:15:45,413 INFO] Epoch:1, Snapshot:48; F1: 0.6226; Accuracy: 0.4860; Precision: 0.4764; Recall: 0.8983; ROC AUC: 0.5079
+[2024-05-21 16:15:46,336 INFO] Epoch:1, Snapshot:49; F1: 0.6469; Accuracy: 0.4990; Precision: 0.5050; Recall: 0.9000; ROC AUC: 0.4908
+[2024-05-21 16:15:47,180 INFO] Epoch:1, Snapshot:50; F1: 0.6053; Accuracy: 0.4600; Precision: 0.4590; Recall: 0.8884; ROC AUC: 0.4873
+[2024-05-21 16:15:48,023 INFO] Epoch:1, Snapshot:51; F1: 0.6324; Accuracy: 0.4850; Precision: 0.4857; Recall: 0.9059; ROC AUC: 0.4941
+[2024-05-21 16:15:48,883 INFO] Epoch:1, Snapshot:52; F1: 0.6371; Accuracy: 0.4920; Precision: 0.5045; Recall: 0.8643; ROC AUC: 0.4797
+[2024-05-21 16:15:49,789 INFO] Epoch:1, Snapshot:53; F1: 0.6536; Accuracy: 0.5040; Precision: 0.5115; Recall: 0.9052; ROC AUC: 0.4899
+[2024-05-21 16:15:50,617 INFO] Epoch:1, Snapshot:54; F1: 0.6229; Accuracy: 0.4830; Precision: 0.4750; Recall: 0.9047; ROC AUC: 0.5054
+[2024-05-21 16:15:51,446 INFO] Epoch:1, Snapshot:55; F1: 0.6681; Accuracy: 0.5220; Precision: 0.5303; Recall: 0.9024; ROC AUC: 0.4951
+[2024-05-21 16:15:52,274 INFO] Epoch:1, Snapshot:56; F1: 0.6591; Accuracy: 0.5200; Precision: 0.5190; Recall: 0.9027; ROC AUC: 0.5090
+[2024-05-21 16:15:53,071 INFO] Epoch:1, Snapshot:57; F1: 0.6559; Accuracy: 0.5100; Precision: 0.5121; Recall: 0.9121; ROC AUC: 0.5001
+[2024-05-21 16:15:53,868 INFO] Epoch:1, Snapshot:58; F1: 0.6390; Accuracy: 0.4960; Precision: 0.4961; Recall: 0.8974; ROC AUC: 0.4984
+[2024-05-21 16:15:54,837 INFO] Epoch:1, Snapshot:59; F1: 0.6819; Accuracy: 0.5410; Precision: 0.5424; Recall: 0.9179; ROC AUC: 0.5118
+[2024-05-21 16:15:55,697 INFO] Epoch:1, Snapshot:60; F1: 0.6481; Accuracy: 0.5080; Precision: 0.5090; Recall: 0.8917; ROC AUC: 0.5018
+[2024-05-21 16:15:56,697 INFO] Epoch:1, Snapshot:61; F1: 0.6275; Accuracy: 0.4870; Precision: 0.4827; Recall: 0.8963; ROC AUC: 0.5012
+[2024-05-21 16:15:57,697 INFO] Epoch:1, Snapshot:62; F1: 0.6465; Accuracy: 0.5100; Precision: 0.4950; Recall: 0.9314; ROC AUC: 0.5254
+[2024-05-21 16:15:58,775 INFO] Epoch:1, Snapshot:63; F1: 0.6457; Accuracy: 0.5050; Precision: 0.5050; Recall: 0.8948; ROC AUC: 0.5019
+[2024-05-21 16:15:59,744 INFO] Epoch:1, Snapshot:64; F1: 0.6213; Accuracy: 0.4770; Precision: 0.4709; Recall: 0.9128; ROC AUC: 0.5017
+[2024-05-21 16:16:00,682 INFO] Epoch:1, Snapshot:65; F1: 0.6293; Accuracy: 0.4910; Precision: 0.4779; Recall: 0.9211; ROC AUC: 0.5161
+[2024-05-21 16:16:01,713 INFO] Epoch:1, Snapshot:66; F1: 0.6949; Accuracy: 0.5530; Precision: 0.5624; Recall: 0.9089; ROC AUC: 0.5045
+[2024-05-21 16:16:02,573 INFO] Epoch:1, Snapshot:67; F1: 0.6345; Accuracy: 0.4920; Precision: 0.4955; Recall: 0.8820; ROC AUC: 0.4920
+[2024-05-21 16:16:03,354 INFO] Epoch:1, Snapshot:68; F1: 0.6272; Accuracy: 0.4840; Precision: 0.4812; Recall: 0.9004; ROC AUC: 0.4985
+[2024-05-21 16:16:04,198 INFO] Epoch:1, Snapshot:69; F1: 0.6332; Accuracy: 0.4880; Precision: 0.4879; Recall: 0.9020; ROC AUC: 0.4961
+[2024-05-21 16:16:05,136 INFO] Epoch:1, Snapshot:70; F1: 0.6560; Accuracy: 0.5070; Precision: 0.5176; Recall: 0.8952; ROC AUC: 0.4866
+[2024-05-21 16:16:06,012 INFO] Epoch:1, Snapshot:71; F1: 0.6205; Accuracy: 0.4740; Precision: 0.4810; Recall: 0.8740; ROC AUC: 0.4803
+[2024-05-21 16:16:06,871 INFO] Epoch:1, Snapshot:72; F1: 0.6319; Accuracy: 0.4920; Precision: 0.4791; Recall: 0.9277; ROC AUC: 0.5167
+[2024-05-21 16:16:07,575 INFO] Epoch:1, Snapshot:73; F1: 0.5795; Accuracy: 0.4370; Precision: 0.4264; Recall: 0.9044; ROC AUC: 0.4951
+[2024-05-21 16:16:08,340 INFO] Epoch:1, Snapshot:74; F1: 0.6001; Accuracy: 0.4590; Precision: 0.4466; Recall: 0.9144; ROC AUC: 0.5049
+[2024-05-21 16:16:09,169 INFO] Epoch:1, Snapshot:75; F1: 0.6091; Accuracy: 0.4700; Precision: 0.4615; Recall: 0.8959; ROC AUC: 0.5008
+[2024-05-21 16:16:09,919 INFO] Epoch:1, Snapshot:76; F1: 0.6304; Accuracy: 0.4840; Precision: 0.4825; Recall: 0.9091; ROC AUC: 0.4972
+[2024-05-21 16:16:10,841 INFO] Epoch:1, Snapshot:77; F1: 0.6537; Accuracy: 0.5180; Precision: 0.5124; Recall: 0.9028; ROC AUC: 0.5149
+[2024-05-21 16:16:11,748 INFO] Epoch:1, Snapshot:78; F1: 0.6914; Accuracy: 0.5510; Precision: 0.5521; Recall: 0.9246; ROC AUC: 0.5149
+[2024-05-21 16:16:12,638 INFO] Epoch:1, Snapshot:79; F1: 0.6564; Accuracy: 0.5110; Precision: 0.5195; Recall: 0.8912; ROC AUC: 0.4918
+[2024-05-21 16:16:13,467 INFO] Epoch:1, Snapshot:80; F1: 0.6466; Accuracy: 0.5070; Precision: 0.5039; Recall: 0.9020; ROC AUC: 0.5070
+[2024-05-21 16:16:14,435 INFO] Epoch:1, Snapshot:81; F1: 0.6638; Accuracy: 0.5230; Precision: 0.5228; Recall: 0.9093; ROC AUC: 0.5086
+[2024-05-21 16:16:15,248 INFO] Epoch:1, Snapshot:82; F1: 0.6137; Accuracy: 0.4650; Precision: 0.4630; Recall: 0.9101; ROC AUC: 0.4926
+[2024-05-21 16:16:16,280 INFO] Epoch:1, Snapshot:83; F1: 0.6723; Accuracy: 0.5320; Precision: 0.5316; Recall: 0.9143; ROC AUC: 0.5119
+[2024-05-21 16:16:17,156 INFO] Epoch:1, Snapshot:84; F1: 0.6648; Accuracy: 0.5170; Precision: 0.5190; Recall: 0.9247; ROC AUC: 0.5018
+[2024-05-21 16:16:17,984 INFO] Epoch:1, Snapshot:85; F1: 0.6454; Accuracy: 0.4990; Precision: 0.5141; Recall: 0.8669; ROC AUC: 0.4788
+[2024-05-21 16:16:18,859 INFO] Epoch:1, Snapshot:86; F1: 0.6591; Accuracy: 0.5170; Precision: 0.5132; Recall: 0.9211; ROC AUC: 0.5113
+[2024-05-21 16:16:19,750 INFO] Epoch:1, Snapshot:87; F1: 0.6392; Accuracy: 0.5000; Precision: 0.4911; Recall: 0.9153; ROC AUC: 0.5129
+[2024-05-21 16:16:20,625 INFO] Epoch:1, Snapshot:88; F1: 0.6362; Accuracy: 0.4910; Precision: 0.4906; Recall: 0.9045; ROC AUC: 0.4975
+[2024-05-21 16:16:21,657 INFO] Epoch:1, Snapshot:89; F1: 0.6790; Accuracy: 0.5310; Precision: 0.5403; Recall: 0.9134; ROC AUC: 0.4950
+[2024-05-21 16:16:22,516 INFO] Epoch:1, Snapshot:90; F1: 0.6186; Accuracy: 0.4710; Precision: 0.4725; Recall: 0.8956; ROC AUC: 0.4881
+[2024-05-21 16:16:23,439 INFO] Epoch:1, Snapshot:91; F1: 0.6880; Accuracy: 0.5510; Precision: 0.5512; Recall: 0.9150; ROC AUC: 0.5185
+[2024-05-21 16:16:24,283 INFO] Epoch:1, Snapshot:92; F1: 0.6360; Accuracy: 0.4940; Precision: 0.4868; Recall: 0.9170; ROC AUC: 0.5087
+[2024-05-21 16:16:25,158 INFO] Epoch:1, Snapshot:93; F1: 0.6462; Accuracy: 0.5050; Precision: 0.5039; Recall: 0.9004; ROC AUC: 0.5034
+[2024-05-21 16:16:25,924 INFO] Epoch:1, Snapshot:94; F1: 0.6360; Accuracy: 0.5020; Precision: 0.4938; Recall: 0.8932; ROC AUC: 0.5119
+[2024-05-21 16:16:26,768 INFO] Epoch:1, Snapshot:95; F1: 0.6596; Accuracy: 0.5160; Precision: 0.5229; Recall: 0.8933; ROC AUC: 0.4961
+[2024-05-21 16:16:27,674 INFO] Epoch:1, Snapshot:96; F1: 0.6414; Accuracy: 0.4980; Precision: 0.4978; Recall: 0.9016; ROC AUC: 0.4996
+[2024-05-21 16:16:28,596 INFO] Epoch:1, Snapshot:97; F1: 0.6685; Accuracy: 0.5230; Precision: 0.5292; Recall: 0.9075; ROC AUC: 0.4985
+[2024-05-21 16:16:29,347 INFO] Epoch:1, Snapshot:98; F1: 0.6444; Accuracy: 0.5000; Precision: 0.5073; Recall: 0.8830; ROC AUC: 0.4898
+[2024-05-21 16:16:30,222 INFO] Epoch:1, Snapshot:99; F1: 0.6312; Accuracy: 0.4870; Precision: 0.4867; Recall: 0.8978; ROC AUC: 0.4958
+[2024-05-21 16:16:31,363 INFO] Epoch:1, Snapshot:100; F1: 0.6587; Accuracy: 0.5170; Precision: 0.5172; Recall: 0.9066; ROC AUC: 0.5058
+[2024-05-21 16:16:32,207 INFO] Epoch:1, Snapshot:101; F1: 0.6191; Accuracy: 0.4770; Precision: 0.4722; Recall: 0.8985; ROC AUC: 0.4986
+[2024-05-21 16:16:33,066 INFO] Epoch:1, Snapshot:102; F1: 0.6252; Accuracy: 0.4820; Precision: 0.4859; Recall: 0.8763; ROC AUC: 0.4874
+[2024-05-21 16:16:33,910 INFO] Epoch:1, Snapshot:103; F1: 0.6298; Accuracy: 0.4910; Precision: 0.4887; Recall: 0.8855; ROC AUC: 0.4995
+[2024-05-21 16:16:34,707 INFO] Epoch:1, Snapshot:104; F1: 0.6304; Accuracy: 0.4900; Precision: 0.4844; Recall: 0.9025; ROC AUC: 0.5043
+[2024-05-21 16:16:35,614 INFO] Epoch:1, Snapshot:105; F1: 0.5987; Accuracy: 0.4610; Precision: 0.4467; Recall: 0.9074; ROC AUC: 0.5067
+[2024-05-21 16:16:36,583 INFO] Epoch:1, Snapshot:106; F1: 0.5755; Accuracy: 0.4350; Precision: 0.4246; Recall: 0.8928; ROC AUC: 0.4919
+[2024-05-21 16:16:37,474 INFO] Epoch:1, Snapshot:107; F1: 0.6333; Accuracy: 0.4950; Precision: 0.4866; Recall: 0.9064; ROC AUC: 0.5101
+[2024-05-21 16:16:38,490 INFO] Epoch:1, Snapshot:108; F1: 0.6568; Accuracy: 0.5130; Precision: 0.5132; Recall: 0.9119; ROC AUC: 0.5040
+[2024-05-21 16:16:39,412 INFO] Epoch:1, Snapshot:109; F1: 0.6364; Accuracy: 0.4960; Precision: 0.4944; Recall: 0.8927; ROC AUC: 0.5007
+[2024-05-21 16:16:40,224 INFO] Epoch:1, Snapshot:110; F1: 0.6386; Accuracy: 0.4940; Precision: 0.4967; Recall: 0.8940; ROC AUC: 0.4940
+[2024-05-21 16:16:41,084 INFO] Epoch:1, Snapshot:111; F1: 0.6129; Accuracy: 0.4670; Precision: 0.4663; Recall: 0.8941; ROC AUC: 0.4896
+[2024-05-21 16:16:42,131 INFO] Epoch:1, Snapshot:112; F1: 0.6374; Accuracy: 0.4880; Precision: 0.4956; Recall: 0.8929; ROC AUC: 0.4847
+[2024-05-21 16:16:43,021 INFO] Epoch:1, Snapshot:113; F1: 0.6299; Accuracy: 0.4830; Precision: 0.4840; Recall: 0.9016; ROC AUC: 0.4928
+[2024-05-21 16:16:44,084 INFO] Epoch:1, Snapshot:114; F1: 0.6511; Accuracy: 0.5080; Precision: 0.5198; Recall: 0.8710; ROC AUC: 0.4873
+[2024-05-21 16:16:45,115 INFO] Epoch:1, Snapshot:115; F1: 0.6234; Accuracy: 0.4840; Precision: 0.4771; Recall: 0.8989; ROC AUC: 0.5038
+[2024-05-21 16:16:46,100 INFO] Epoch:1, Snapshot:116; F1: 0.6293; Accuracy: 0.4840; Precision: 0.4872; Recall: 0.8884; ROC AUC: 0.4896
+[2024-05-21 16:16:47,132 INFO] Epoch:1, Snapshot:117; F1: 0.6314; Accuracy: 0.4910; Precision: 0.4818; Recall: 0.9160; ROC AUC: 0.5105
+[2024-05-21 16:16:48,101 INFO] Epoch:1, Snapshot:118; F1: 0.6519; Accuracy: 0.5140; Precision: 0.5206; Recall: 0.8716; ROC AUC: 0.4975
+[2024-05-21 16:16:49,070 INFO] Epoch:1, Snapshot:119; F1: 0.6457; Accuracy: 0.5050; Precision: 0.4972; Recall: 0.9204; ROC AUC: 0.5131
+[2024-05-21 16:16:50,040 INFO] Epoch:1, Snapshot:120; F1: 0.6450; Accuracy: 0.5090; Precision: 0.4961; Recall: 0.9215; ROC AUC: 0.5218
+[2024-05-21 16:16:50,962 INFO] Epoch:1, Snapshot:121; F1: 0.6331; Accuracy: 0.4900; Precision: 0.4927; Recall: 0.8853; ROC AUC: 0.4924
+[2024-05-21 16:16:51,837 INFO] Epoch:1, Snapshot:122; F1: 0.6723; Accuracy: 0.5310; Precision: 0.5386; Recall: 0.8941; ROC AUC: 0.5011
+[2024-05-21 16:16:52,837 INFO] Epoch:1, Snapshot:123; F1: 0.6301; Accuracy: 0.4870; Precision: 0.4856; Recall: 0.8973; ROC AUC: 0.4974
+[2024-05-21 16:16:52,837 INFO] Epoch:1, Snapshot: 8; Loss: 1.5642
+[2024-05-21 16:17:00,621 INFO] Epoch:1, Snapshot:37; F1: 0.0000; Accuracy: 0.4300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:01,449 INFO] Epoch:1, Snapshot:38; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:02,184 INFO] Epoch:1, Snapshot:39; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:02,965 INFO] Epoch:1, Snapshot:40; F1: 0.0000; Accuracy: 0.4790; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:03,699 INFO] Epoch:1, Snapshot:41; F1: 0.0000; Accuracy: 0.5260; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:04,543 INFO] Epoch:1, Snapshot:42; F1: 0.0000; Accuracy: 0.5170; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:05,340 INFO] Epoch:1, Snapshot:43; F1: 0.0000; Accuracy: 0.5400; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:06,184 INFO] Epoch:1, Snapshot:44; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:07,091 INFO] Epoch:1, Snapshot:45; F1: 0.0000; Accuracy: 0.4620; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:07,982 INFO] Epoch:1, Snapshot:46; F1: 0.0000; Accuracy: 0.4970; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:08,716 INFO] Epoch:1, Snapshot:47; F1: 0.0000; Accuracy: 0.5290; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:09,654 INFO] Epoch:1, Snapshot:48; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:10,544 INFO] Epoch:1, Snapshot:49; F1: 0.0000; Accuracy: 0.4900; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:11,372 INFO] Epoch:1, Snapshot:50; F1: 0.0000; Accuracy: 0.5340; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:12,216 INFO] Epoch:1, Snapshot:51; F1: 0.0000; Accuracy: 0.5110; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:13,060 INFO] Epoch:1, Snapshot:52; F1: 0.0000; Accuracy: 0.4840; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:13,936 INFO] Epoch:1, Snapshot:53; F1: 0.0000; Accuracy: 0.4830; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:14,764 INFO] Epoch:1, Snapshot:54; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:15,609 INFO] Epoch:1, Snapshot:55; F1: 0.0000; Accuracy: 0.4670; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:16,452 INFO] Epoch:1, Snapshot:56; F1: 0.0000; Accuracy: 0.4860; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:17,297 INFO] Epoch:1, Snapshot:57; F1: 0.0000; Accuracy: 0.4880; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:18,094 INFO] Epoch:1, Snapshot:58; F1: 0.0000; Accuracy: 0.5030; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:19,063 INFO] Epoch:1, Snapshot:59; F1: 0.0000; Accuracy: 0.4640; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:19,938 INFO] Epoch:1, Snapshot:60; F1: 0.0000; Accuracy: 0.4920; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:20,938 INFO] Epoch:1, Snapshot:61; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:21,923 INFO] Epoch:1, Snapshot:62; F1: 0.0000; Accuracy: 0.5190; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:22,986 INFO] Epoch:1, Snapshot:63; F1: 0.0000; Accuracy: 0.4960; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:23,923 INFO] Epoch:1, Snapshot:64; F1: 0.0000; Accuracy: 0.5300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:24,830 INFO] Epoch:1, Snapshot:65; F1: 0.0000; Accuracy: 0.5310; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:25,799 INFO] Epoch:1, Snapshot:66; F1: 0.0000; Accuracy: 0.4400; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:26,627 INFO] Epoch:1, Snapshot:67; F1: 0.0000; Accuracy: 0.5000; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:27,487 INFO] Epoch:1, Snapshot:68; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:28,362 INFO] Epoch:1, Snapshot:69; F1: 0.0000; Accuracy: 0.5100; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:29,347 INFO] Epoch:1, Snapshot:70; F1: 0.0000; Accuracy: 0.4750; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:30,206 INFO] Epoch:1, Snapshot:71; F1: 0.0000; Accuracy: 0.5080; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:31,066 INFO] Epoch:1, Snapshot:72; F1: 0.0000; Accuracy: 0.5300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:31,753 INFO] Epoch:1, Snapshot:73; F1: 0.0000; Accuracy: 0.5710; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:32,550 INFO] Epoch:1, Snapshot:74; F1: 0.0000; Accuracy: 0.5560; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:33,394 INFO] Epoch:1, Snapshot:75; F1: 0.0000; Accuracy: 0.5390; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:34,176 INFO] Epoch:1, Snapshot:76; F1: 0.0000; Accuracy: 0.5160; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:35,082 INFO] Epoch:1, Snapshot:77; F1: 0.0000; Accuracy: 0.4960; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:35,973 INFO] Epoch:1, Snapshot:78; F1: 0.0000; Accuracy: 0.4560; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:36,864 INFO] Epoch:1, Snapshot:79; F1: 0.0000; Accuracy: 0.4760; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:37,661 INFO] Epoch:1, Snapshot:80; F1: 0.0000; Accuracy: 0.5000; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:38,614 INFO] Epoch:1, Snapshot:81; F1: 0.0000; Accuracy: 0.4820; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:39,442 INFO] Epoch:1, Snapshot:82; F1: 0.0000; Accuracy: 0.5330; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:40,474 INFO] Epoch:1, Snapshot:83; F1: 0.0000; Accuracy: 0.4750; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:41,318 INFO] Epoch:1, Snapshot:84; F1: 0.0000; Accuracy: 0.4820; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:42,178 INFO] Epoch:1, Snapshot:85; F1: 0.0000; Accuracy: 0.4740; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:43,101 INFO] Epoch:1, Snapshot:86; F1: 0.0000; Accuracy: 0.4930; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:43,992 INFO] Epoch:1, Snapshot:87; F1: 0.0000; Accuracy: 0.5160; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:44,851 INFO] Epoch:1, Snapshot:88; F1: 0.0000; Accuracy: 0.5080; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:45,883 INFO] Epoch:1, Snapshot:89; F1: 0.0000; Accuracy: 0.4570; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:46,664 INFO] Epoch:1, Snapshot:90; F1: 0.0000; Accuracy: 0.5210; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:47,618 INFO] Epoch:1, Snapshot:91; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:48,477 INFO] Epoch:1, Snapshot:92; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:49,290 INFO] Epoch:1, Snapshot:93; F1: 0.0000; Accuracy: 0.4980; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:50,040 INFO] Epoch:1, Snapshot:94; F1: 0.0000; Accuracy: 0.5130; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:50,931 INFO] Epoch:1, Snapshot:95; F1: 0.0000; Accuracy: 0.4750; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:51,837 INFO] Epoch:1, Snapshot:96; F1: 0.0000; Accuracy: 0.5020; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:52,760 INFO] Epoch:1, Snapshot:97; F1: 0.0000; Accuracy: 0.4700; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:53,572 INFO] Epoch:1, Snapshot:98; F1: 0.0000; Accuracy: 0.4870; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:54,432 INFO] Epoch:1, Snapshot:99; F1: 0.0000; Accuracy: 0.5110; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:55,542 INFO] Epoch:1, Snapshot:100; F1: 0.0000; Accuracy: 0.4860; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:56,386 INFO] Epoch:1, Snapshot:101; F1: 0.0000; Accuracy: 0.5270; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:57,261 INFO] Epoch:1, Snapshot:102; F1: 0.0000; Accuracy: 0.5070; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:58,152 INFO] Epoch:1, Snapshot:103; F1: 0.0000; Accuracy: 0.5110; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:58,949 INFO] Epoch:1, Snapshot:104; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:17:59,871 INFO] Epoch:1, Snapshot:105; F1: 0.0000; Accuracy: 0.5570; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:00,809 INFO] Epoch:1, Snapshot:106; F1: 0.0000; Accuracy: 0.5710; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:01,668 INFO] Epoch:1, Snapshot:107; F1: 0.0000; Accuracy: 0.5190; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:02,684 INFO] Epoch:1, Snapshot:108; F1: 0.0000; Accuracy: 0.4890; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:03,622 INFO] Epoch:1, Snapshot:109; F1: 0.0000; Accuracy: 0.5060; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:04,498 INFO] Epoch:1, Snapshot:110; F1: 0.0000; Accuracy: 0.5000; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:05,310 INFO] Epoch:1, Snapshot:111; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:06,373 INFO] Epoch:1, Snapshot:112; F1: 0.0000; Accuracy: 0.4960; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:07,248 INFO] Epoch:1, Snapshot:113; F1: 0.0000; Accuracy: 0.5120; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:08,358 INFO] Epoch:1, Snapshot:114; F1: 0.0000; Accuracy: 0.4730; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:09,405 INFO] Epoch:1, Snapshot:115; F1: 0.0000; Accuracy: 0.5250; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:10,421 INFO] Epoch:1, Snapshot:116; F1: 0.0000; Accuracy: 0.5070; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:11,436 INFO] Epoch:1, Snapshot:117; F1: 0.0000; Accuracy: 0.5240; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:12,406 INFO] Epoch:1, Snapshot:118; F1: 0.0000; Accuracy: 0.4780; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:13,437 INFO] Epoch:1, Snapshot:119; F1: 0.0000; Accuracy: 0.5100; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:14,438 INFO] Epoch:1, Snapshot:120; F1: 0.0000; Accuracy: 0.5160; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:15,375 INFO] Epoch:1, Snapshot:121; F1: 0.0000; Accuracy: 0.5030; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:16,266 INFO] Epoch:1, Snapshot:122; F1: 0.0000; Accuracy: 0.4620; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:17,267 INFO] Epoch:1, Snapshot:123; F1: 0.0000; Accuracy: 0.5130; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:18:17,282 INFO] Epoch:1, Snapshot: 9; Loss: 3.9252
+[2024-05-21 16:18:24,502 INFO] Epoch:1, Snapshot:37; F1: 0.7012; Accuracy: 0.5500; Precision: 0.5641; Recall: 0.9263; ROC AUC: 0.4887
+[2024-05-21 16:18:25,393 INFO] Epoch:1, Snapshot:38; F1: 0.6877; Accuracy: 0.5350; Precision: 0.5401; Recall: 0.9464; ROC AUC: 0.4983
+[2024-05-21 16:18:26,143 INFO] Epoch:1, Snapshot:39; F1: 0.6331; Accuracy: 0.4820; Precision: 0.4755; Recall: 0.9470; ROC AUC: 0.5067
+[2024-05-21 16:18:26,940 INFO] Epoch:1, Snapshot:40; F1: 0.6639; Accuracy: 0.5090; Precision: 0.5160; Recall: 0.9309; ROC AUC: 0.4905
+[2024-05-21 16:18:27,722 INFO] Epoch:1, Snapshot:41; F1: 0.6277; Accuracy: 0.4710; Precision: 0.4710; Recall: 0.9409; ROC AUC: 0.4942
+[2024-05-21 16:18:28,566 INFO] Epoch:1, Snapshot:42; F1: 0.6406; Accuracy: 0.4860; Precision: 0.4836; Recall: 0.9482; ROC AUC: 0.5012
+[2024-05-21 16:18:29,332 INFO] Epoch:1, Snapshot:43; F1: 0.6166; Accuracy: 0.4640; Precision: 0.4595; Recall: 0.9370; ROC AUC: 0.4990
+[2024-05-21 16:18:30,176 INFO] Epoch:1, Snapshot:44; F1: 0.6918; Accuracy: 0.5420; Precision: 0.5439; Recall: 0.9501; ROC AUC: 0.5055
+[2024-05-21 16:18:31,098 INFO] Epoch:1, Snapshot:45; F1: 0.6841; Accuracy: 0.5300; Precision: 0.5358; Recall: 0.9461; ROC AUC: 0.4958
+[2024-05-21 16:18:31,974 INFO] Epoch:1, Snapshot:46; F1: 0.6578; Accuracy: 0.5090; Precision: 0.5064; Recall: 0.9384; ROC AUC: 0.5064
+[2024-05-21 16:18:32,740 INFO] Epoch:1, Snapshot:47; F1: 0.6213; Accuracy: 0.4710; Precision: 0.4687; Recall: 0.9214; ROC AUC: 0.4957
+[2024-05-21 16:18:33,646 INFO] Epoch:1, Snapshot:48; F1: 0.6309; Accuracy: 0.4770; Precision: 0.4730; Recall: 0.9470; ROC AUC: 0.5019
+[2024-05-21 16:18:34,537 INFO] Epoch:1, Snapshot:49; F1: 0.6542; Accuracy: 0.5010; Precision: 0.5059; Recall: 0.9255; ROC AUC: 0.4923
+[2024-05-21 16:18:35,380 INFO] Epoch:1, Snapshot:50; F1: 0.6273; Accuracy: 0.4700; Precision: 0.4665; Recall: 0.9571; ROC AUC: 0.5010
+[2024-05-21 16:18:36,256 INFO] Epoch:1, Snapshot:51; F1: 0.6436; Accuracy: 0.4950; Precision: 0.4914; Recall: 0.9325; ROC AUC: 0.5044
+[2024-05-21 16:18:37,100 INFO] Epoch:1, Snapshot:52; F1: 0.6726; Accuracy: 0.5210; Precision: 0.5195; Recall: 0.9535; ROC AUC: 0.5067
+[2024-05-21 16:18:38,006 INFO] Epoch:1, Snapshot:53; F1: 0.6635; Accuracy: 0.5100; Precision: 0.5144; Recall: 0.9342; ROC AUC: 0.4951
+[2024-05-21 16:18:38,835 INFO] Epoch:1, Snapshot:54; F1: 0.6223; Accuracy: 0.4670; Precision: 0.4675; Recall: 0.9301; ROC AUC: 0.4916
+[2024-05-21 16:18:39,679 INFO] Epoch:1, Snapshot:55; F1: 0.6802; Accuracy: 0.5280; Precision: 0.5323; Recall: 0.9418; ROC AUC: 0.4988
+[2024-05-21 16:18:40,569 INFO] Epoch:1, Snapshot:56; F1: 0.6708; Accuracy: 0.5210; Precision: 0.5186; Recall: 0.9494; ROC AUC: 0.5087
+[2024-05-21 16:18:41,351 INFO] Epoch:1, Snapshot:57; F1: 0.6630; Accuracy: 0.5090; Precision: 0.5111; Recall: 0.9434; ROC AUC: 0.4983
+[2024-05-21 16:18:42,163 INFO] Epoch:1, Snapshot:58; F1: 0.6489; Accuracy: 0.4990; Precision: 0.4978; Recall: 0.9316; ROC AUC: 0.5016
+[2024-05-21 16:18:43,101 INFO] Epoch:1, Snapshot:59; F1: 0.6835; Accuracy: 0.5350; Precision: 0.5380; Recall: 0.9366; ROC AUC: 0.5038
+[2024-05-21 16:18:43,945 INFO] Epoch:1, Snapshot:60; F1: 0.6570; Accuracy: 0.5050; Precision: 0.5070; Recall: 0.9331; ROC AUC: 0.4980
+[2024-05-21 16:18:44,977 INFO] Epoch:1, Snapshot:61; F1: 0.6455; Accuracy: 0.4980; Precision: 0.4893; Recall: 0.9481; ROC AUC: 0.5136
+[2024-05-21 16:18:45,962 INFO] Epoch:1, Snapshot:62; F1: 0.6456; Accuracy: 0.4950; Precision: 0.4873; Recall: 0.9563; ROC AUC: 0.5119
+[2024-05-21 16:18:47,009 INFO] Epoch:1, Snapshot:63; F1: 0.6511; Accuracy: 0.4920; Precision: 0.4979; Recall: 0.9405; ROC AUC: 0.4884
+[2024-05-21 16:18:47,963 INFO] Epoch:1, Snapshot:64; F1: 0.6207; Accuracy: 0.4660; Precision: 0.4659; Recall: 0.9298; ROC AUC: 0.4923
+[2024-05-21 16:18:48,853 INFO] Epoch:1, Snapshot:65; F1: 0.6431; Accuracy: 0.4950; Precision: 0.4810; Recall: 0.9701; ROC AUC: 0.5227
+[2024-05-21 16:18:49,885 INFO] Epoch:1, Snapshot:66; F1: 0.7175; Accuracy: 0.5740; Precision: 0.5707; Recall: 0.9661; ROC AUC: 0.5205
+[2024-05-21 16:18:50,761 INFO] Epoch:1, Snapshot:67; F1: 0.6453; Accuracy: 0.4910; Precision: 0.4952; Recall: 0.9260; ROC AUC: 0.4910
+[2024-05-21 16:18:51,558 INFO] Epoch:1, Snapshot:68; F1: 0.6429; Accuracy: 0.4900; Precision: 0.4852; Recall: 0.9523; ROC AUC: 0.5061
+[2024-05-21 16:18:52,417 INFO] Epoch:1, Snapshot:69; F1: 0.6461; Accuracy: 0.4950; Precision: 0.4920; Recall: 0.9408; ROC AUC: 0.5037
+[2024-05-21 16:18:53,355 INFO] Epoch:1, Snapshot:70; F1: 0.6722; Accuracy: 0.5250; Precision: 0.5271; Recall: 0.9276; ROC AUC: 0.5038
+[2024-05-21 16:18:54,215 INFO] Epoch:1, Snapshot:71; F1: 0.6392; Accuracy: 0.4840; Precision: 0.4872; Recall: 0.9289; ROC AUC: 0.4910
+[2024-05-21 16:18:55,074 INFO] Epoch:1, Snapshot:72; F1: 0.6254; Accuracy: 0.4740; Precision: 0.4700; Recall: 0.9340; ROC AUC: 0.5000
+[2024-05-21 16:18:55,777 INFO] Epoch:1, Snapshot:73; F1: 0.5930; Accuracy: 0.4440; Precision: 0.4322; Recall: 0.9441; ROC AUC: 0.5062
+[2024-05-21 16:18:56,528 INFO] Epoch:1, Snapshot:74; F1: 0.5968; Accuracy: 0.4420; Precision: 0.4394; Recall: 0.9302; ROC AUC: 0.4912
+[2024-05-21 16:18:57,356 INFO] Epoch:1, Snapshot:75; F1: 0.6131; Accuracy: 0.4560; Precision: 0.4561; Recall: 0.9349; ROC AUC: 0.4907
+[2024-05-21 16:18:58,106 INFO] Epoch:1, Snapshot:76; F1: 0.6308; Accuracy: 0.4780; Precision: 0.4796; Recall: 0.9215; ROC AUC: 0.4918
+[2024-05-21 16:18:58,997 INFO] Epoch:1, Snapshot:77; F1: 0.6495; Accuracy: 0.4950; Precision: 0.4995; Recall: 0.9286; ROC AUC: 0.4915
+[2024-05-21 16:18:59,888 INFO] Epoch:1, Snapshot:78; F1: 0.6923; Accuracy: 0.5430; Precision: 0.5462; Recall: 0.9449; ROC AUC: 0.5042
+[2024-05-21 16:19:00,763 INFO] Epoch:1, Snapshot:79; F1: 0.6757; Accuracy: 0.5220; Precision: 0.5242; Recall: 0.9504; ROC AUC: 0.5004
+[2024-05-21 16:19:01,591 INFO] Epoch:1, Snapshot:80; F1: 0.6546; Accuracy: 0.5040; Precision: 0.5021; Recall: 0.9400; ROC AUC: 0.5040
+[2024-05-21 16:19:02,529 INFO] Epoch:1, Snapshot:81; F1: 0.6579; Accuracy: 0.5030; Precision: 0.5112; Recall: 0.9228; ROC AUC: 0.4873
+[2024-05-21 16:19:03,342 INFO] Epoch:1, Snapshot:82; F1: 0.6182; Accuracy: 0.4700; Precision: 0.4658; Recall: 0.9186; ROC AUC: 0.4978
+[2024-05-21 16:19:04,389 INFO] Epoch:1, Snapshot:83; F1: 0.6689; Accuracy: 0.5150; Precision: 0.5213; Recall: 0.9333; ROC AUC: 0.4930
+[2024-05-21 16:19:05,217 INFO] Epoch:1, Snapshot:84; F1: 0.6676; Accuracy: 0.5170; Precision: 0.5187; Recall: 0.9363; ROC AUC: 0.5013
+[2024-05-21 16:19:06,077 INFO] Epoch:1, Snapshot:85; F1: 0.6790; Accuracy: 0.5310; Precision: 0.5305; Recall: 0.9430; ROC AUC: 0.5084
+[2024-05-21 16:19:06,937 INFO] Epoch:1, Snapshot:86; F1: 0.6611; Accuracy: 0.5100; Precision: 0.5091; Recall: 0.9428; ROC AUC: 0.5039
+[2024-05-21 16:19:07,827 INFO] Epoch:1, Snapshot:87; F1: 0.6433; Accuracy: 0.4920; Precision: 0.4872; Recall: 0.9463; ROC AUC: 0.5061
+[2024-05-21 16:19:08,687 INFO] Epoch:1, Snapshot:88; F1: 0.6336; Accuracy: 0.4750; Precision: 0.4825; Recall: 0.9228; ROC AUC: 0.4821
+[2024-05-21 16:19:09,734 INFO] Epoch:1, Snapshot:89; F1: 0.6892; Accuracy: 0.5410; Precision: 0.5450; Recall: 0.9374; ROC AUC: 0.5037
+[2024-05-21 16:19:10,546 INFO] Epoch:1, Snapshot:90; F1: 0.6355; Accuracy: 0.4860; Precision: 0.4812; Recall: 0.9353; ROC AUC: 0.5041
+[2024-05-21 16:19:11,468 INFO] Epoch:1, Snapshot:91; F1: 0.6748; Accuracy: 0.5220; Precision: 0.5339; Recall: 0.9168; ROC AUC: 0.4867
+[2024-05-21 16:19:12,328 INFO] Epoch:1, Snapshot:92; F1: 0.6302; Accuracy: 0.4800; Precision: 0.4794; Recall: 0.9191; ROC AUC: 0.4953
+[2024-05-21 16:19:13,141 INFO] Epoch:1, Snapshot:93; F1: 0.6505; Accuracy: 0.4950; Precision: 0.4984; Recall: 0.9363; ROC AUC: 0.4932
+[2024-05-21 16:19:13,875 INFO] Epoch:1, Snapshot:94; F1: 0.6438; Accuracy: 0.4910; Precision: 0.4883; Recall: 0.9446; ROC AUC: 0.5025
+[2024-05-21 16:19:14,751 INFO] Epoch:1, Snapshot:95; F1: 0.6726; Accuracy: 0.5240; Precision: 0.5264; Recall: 0.9314; ROC AUC: 0.5026
+[2024-05-21 16:19:15,673 INFO] Epoch:1, Snapshot:96; F1: 0.6570; Accuracy: 0.5050; Precision: 0.5016; Recall: 0.9518; ROC AUC: 0.5068
+[2024-05-21 16:19:16,580 INFO] Epoch:1, Snapshot:97; F1: 0.6794; Accuracy: 0.5300; Precision: 0.5321; Recall: 0.9396; ROC AUC: 0.5039
+[2024-05-21 16:19:17,345 INFO] Epoch:1, Snapshot:98; F1: 0.6648; Accuracy: 0.5140; Precision: 0.5144; Recall: 0.9396; ROC AUC: 0.5026
+[2024-05-21 16:19:18,221 INFO] Epoch:1, Snapshot:99; F1: 0.6461; Accuracy: 0.4950; Precision: 0.4915; Recall: 0.9427; ROC AUC: 0.5046
+[2024-05-21 16:19:19,330 INFO] Epoch:1, Snapshot:100; F1: 0.6644; Accuracy: 0.5170; Precision: 0.5168; Recall: 0.9300; ROC AUC: 0.5051
+[2024-05-21 16:19:20,174 INFO] Epoch:1, Snapshot:101; F1: 0.6141; Accuracy: 0.4620; Precision: 0.4647; Recall: 0.9049; ROC AUC: 0.4847
+[2024-05-21 16:19:21,112 INFO] Epoch:1, Snapshot:102; F1: 0.6372; Accuracy: 0.4830; Precision: 0.4871; Recall: 0.9209; ROC AUC: 0.4890
+[2024-05-21 16:19:21,971 INFO] Epoch:1, Snapshot:103; F1: 0.6394; Accuracy: 0.4880; Precision: 0.4876; Recall: 0.9284; ROC AUC: 0.4975
+[2024-05-21 16:19:22,768 INFO] Epoch:1, Snapshot:104; F1: 0.6405; Accuracy: 0.4870; Precision: 0.4836; Recall: 0.9481; ROC AUC: 0.5030
+[2024-05-21 16:19:23,706 INFO] Epoch:1, Snapshot:105; F1: 0.6019; Accuracy: 0.4510; Precision: 0.4434; Recall: 0.9368; ROC AUC: 0.5007
+[2024-05-21 16:19:24,644 INFO] Epoch:1, Snapshot:106; F1: 0.5866; Accuracy: 0.4320; Precision: 0.4265; Recall: 0.9394; ROC AUC: 0.4951
+[2024-05-21 16:19:25,535 INFO] Epoch:1, Snapshot:107; F1: 0.6412; Accuracy: 0.4930; Precision: 0.4861; Recall: 0.9418; ROC AUC: 0.5094
+[2024-05-21 16:19:26,535 INFO] Epoch:1, Snapshot:108; F1: 0.6621; Accuracy: 0.5110; Precision: 0.5118; Recall: 0.9374; ROC AUC: 0.5014
+[2024-05-21 16:19:27,488 INFO] Epoch:1, Snapshot:109; F1: 0.6434; Accuracy: 0.4900; Precision: 0.4915; Recall: 0.9312; ROC AUC: 0.4952
+[2024-05-21 16:19:28,316 INFO] Epoch:1, Snapshot:110; F1: 0.6475; Accuracy: 0.4970; Precision: 0.4984; Recall: 0.9240; ROC AUC: 0.4970
+[2024-05-21 16:19:29,176 INFO] Epoch:1, Snapshot:111; F1: 0.6356; Accuracy: 0.4840; Precision: 0.4767; Recall: 0.9534; ROC AUC: 0.5089
+[2024-05-21 16:19:30,223 INFO] Epoch:1, Snapshot:112; F1: 0.6551; Accuracy: 0.5020; Precision: 0.5032; Recall: 0.9385; ROC AUC: 0.4985
+[2024-05-21 16:19:31,114 INFO] Epoch:1, Snapshot:113; F1: 0.6385; Accuracy: 0.4860; Precision: 0.4861; Recall: 0.9303; ROC AUC: 0.4964
+[2024-05-21 16:19:32,224 INFO] Epoch:1, Snapshot:114; F1: 0.6767; Accuracy: 0.5260; Precision: 0.5282; Recall: 0.9412; ROC AUC: 0.5023
+[2024-05-21 16:19:33,290 INFO] Epoch:1, Snapshot:115; F1: 0.6246; Accuracy: 0.4770; Precision: 0.4739; Recall: 0.9158; ROC AUC: 0.4979
+[2024-05-21 16:19:34,272 INFO] Epoch:1, Snapshot:116; F1: 0.6485; Accuracy: 0.4960; Precision: 0.4942; Recall: 0.9432; ROC AUC: 0.5022
+[2024-05-21 16:19:35,351 INFO] Epoch:1, Snapshot:117; F1: 0.6287; Accuracy: 0.4780; Precision: 0.4753; Recall: 0.9286; ROC AUC: 0.4986
+[2024-05-21 16:19:36,320 INFO] Epoch:1, Snapshot:118; F1: 0.6690; Accuracy: 0.5180; Precision: 0.5214; Recall: 0.9330; ROC AUC: 0.4989
+[2024-05-21 16:19:37,289 INFO] Epoch:1, Snapshot:119; F1: 0.6444; Accuracy: 0.4890; Precision: 0.4889; Recall: 0.9449; ROC AUC: 0.4979
+[2024-05-21 16:19:38,289 INFO] Epoch:1, Snapshot:120; F1: 0.6354; Accuracy: 0.4790; Precision: 0.4804; Recall: 0.9380; ROC AUC: 0.4932
+[2024-05-21 16:19:39,227 INFO] Epoch:1, Snapshot:121; F1: 0.6512; Accuracy: 0.5040; Precision: 0.5005; Recall: 0.9316; ROC AUC: 0.5066
+[2024-05-21 16:19:40,148 INFO] Epoch:1, Snapshot:122; F1: 0.6744; Accuracy: 0.5230; Precision: 0.5329; Recall: 0.9182; ROC AUC: 0.4905
+[2024-05-21 16:19:41,133 INFO] Epoch:1, Snapshot:123; F1: 0.6346; Accuracy: 0.4840; Precision: 0.4843; Recall: 0.9199; ROC AUC: 0.4950
+[2024-05-21 16:19:41,149 INFO] Epoch:1, Snapshot: 10; Loss: 2.0762
+[2024-05-21 16:19:48,259 INFO] Epoch:1, Snapshot:37; F1: 0.6949; Accuracy: 0.5540; Precision: 0.5695; Recall: 0.8912; ROC AUC: 0.4991
+[2024-05-21 16:19:49,119 INFO] Epoch:1, Snapshot:38; F1: 0.6741; Accuracy: 0.5310; Precision: 0.5401; Recall: 0.8965; ROC AUC: 0.4984
+[2024-05-21 16:19:49,838 INFO] Epoch:1, Snapshot:39; F1: 0.6184; Accuracy: 0.4780; Precision: 0.4721; Recall: 0.8962; ROC AUC: 0.5002
+[2024-05-21 16:19:50,635 INFO] Epoch:1, Snapshot:40; F1: 0.6592; Accuracy: 0.5160; Precision: 0.5206; Recall: 0.8983; ROC AUC: 0.4992
+[2024-05-21 16:19:51,386 INFO] Epoch:1, Snapshot:41; F1: 0.6253; Accuracy: 0.4810; Precision: 0.4753; Recall: 0.9135; ROC AUC: 0.5024
+[2024-05-21 16:19:52,245 INFO] Epoch:1, Snapshot:42; F1: 0.6273; Accuracy: 0.4830; Precision: 0.4812; Recall: 0.9006; ROC AUC: 0.4967
+[2024-05-21 16:19:53,058 INFO] Epoch:1, Snapshot:43; F1: 0.6024; Accuracy: 0.4640; Precision: 0.4572; Recall: 0.8826; ROC AUC: 0.4950
+[2024-05-21 16:19:53,886 INFO] Epoch:1, Snapshot:44; F1: 0.6685; Accuracy: 0.5200; Precision: 0.5336; Recall: 0.8946; ROC AUC: 0.4865
+[2024-05-21 16:19:54,761 INFO] Epoch:1, Snapshot:45; F1: 0.6695; Accuracy: 0.5280; Precision: 0.5371; Recall: 0.8885; ROC AUC: 0.4984
+[2024-05-21 16:19:55,652 INFO] Epoch:1, Snapshot:46; F1: 0.6313; Accuracy: 0.4860; Precision: 0.4938; Recall: 0.8748; ROC AUC: 0.4837
+[2024-05-21 16:19:56,386 INFO] Epoch:1, Snapshot:47; F1: 0.6138; Accuracy: 0.4690; Precision: 0.4668; Recall: 0.8960; ROC AUC: 0.4924
+[2024-05-21 16:19:57,308 INFO] Epoch:1, Snapshot:48; F1: 0.6247; Accuracy: 0.4810; Precision: 0.4742; Recall: 0.9153; ROC AUC: 0.5040
+[2024-05-21 16:19:58,184 INFO] Epoch:1, Snapshot:49; F1: 0.6493; Accuracy: 0.5010; Precision: 0.5060; Recall: 0.9059; ROC AUC: 0.4927
+[2024-05-21 16:19:59,012 INFO] Epoch:1, Snapshot:50; F1: 0.6158; Accuracy: 0.4710; Precision: 0.4654; Recall: 0.9099; ROC AUC: 0.4989
+[2024-05-21 16:19:59,888 INFO] Epoch:1, Snapshot:51; F1: 0.6422; Accuracy: 0.5020; Precision: 0.4950; Recall: 0.9141; ROC AUC: 0.5109
+[2024-05-21 16:20:00,732 INFO] Epoch:1, Snapshot:52; F1: 0.6518; Accuracy: 0.5000; Precision: 0.5087; Recall: 0.9070; ROC AUC: 0.4865
+[2024-05-21 16:20:01,623 INFO] Epoch:1, Snapshot:53; F1: 0.6443; Accuracy: 0.5020; Precision: 0.5108; Recall: 0.8723; ROC AUC: 0.4890
+[2024-05-21 16:20:02,435 INFO] Epoch:1, Snapshot:54; F1: 0.6103; Accuracy: 0.4650; Precision: 0.4650; Recall: 0.8877; ROC AUC: 0.4874
+[2024-05-21 16:20:03,295 INFO] Epoch:1, Snapshot:55; F1: 0.6620; Accuracy: 0.5190; Precision: 0.5292; Recall: 0.8837; ROC AUC: 0.4932
+[2024-05-21 16:20:04,139 INFO] Epoch:1, Snapshot:56; F1: 0.6493; Accuracy: 0.5020; Precision: 0.5088; Recall: 0.8969; ROC AUC: 0.4906
+[2024-05-21 16:20:04,952 INFO] Epoch:1, Snapshot:57; F1: 0.6558; Accuracy: 0.5130; Precision: 0.5138; Recall: 0.9062; ROC AUC: 0.5033
+[2024-05-21 16:20:05,811 INFO] Epoch:1, Snapshot:58; F1: 0.6471; Accuracy: 0.5070; Precision: 0.5022; Recall: 0.9095; ROC AUC: 0.5094
+[2024-05-21 16:20:06,765 INFO] Epoch:1, Snapshot:59; F1: 0.6699; Accuracy: 0.5250; Precision: 0.5338; Recall: 0.8993; ROC AUC: 0.4960
+[2024-05-21 16:20:07,609 INFO] Epoch:1, Snapshot:60; F1: 0.6345; Accuracy: 0.4930; Precision: 0.5006; Recall: 0.8661; ROC AUC: 0.4869
+[2024-05-21 16:20:08,610 INFO] Epoch:1, Snapshot:61; F1: 0.6252; Accuracy: 0.4940; Precision: 0.4862; Recall: 0.8755; ROC AUC: 0.5073
+[2024-05-21 16:20:09,594 INFO] Epoch:1, Snapshot:62; F1: 0.6320; Accuracy: 0.4900; Precision: 0.4840; Recall: 0.9106; ROC AUC: 0.5054
+[2024-05-21 16:20:10,641 INFO] Epoch:1, Snapshot:63; F1: 0.6534; Accuracy: 0.5110; Precision: 0.5083; Recall: 0.9147; ROC AUC: 0.5077
+[2024-05-21 16:20:11,579 INFO] Epoch:1, Snapshot:64; F1: 0.6112; Accuracy: 0.4720; Precision: 0.4673; Recall: 0.8830; ROC AUC: 0.4953
+[2024-05-21 16:20:12,438 INFO] Epoch:1, Snapshot:65; F1: 0.6185; Accuracy: 0.4720; Precision: 0.4678; Recall: 0.9126; ROC AUC: 0.4977
+[2024-05-21 16:20:13,423 INFO] Epoch:1, Snapshot:66; F1: 0.7094; Accuracy: 0.5740; Precision: 0.5740; Recall: 0.9286; ROC AUC: 0.5256
+[2024-05-21 16:20:14,251 INFO] Epoch:1, Snapshot:67; F1: 0.6402; Accuracy: 0.5020; Precision: 0.5011; Recall: 0.8860; ROC AUC: 0.5020
+[2024-05-21 16:20:15,001 INFO] Epoch:1, Snapshot:68; F1: 0.6196; Accuracy: 0.4720; Precision: 0.4746; Recall: 0.8921; ROC AUC: 0.4866
+[2024-05-21 16:20:15,830 INFO] Epoch:1, Snapshot:69; F1: 0.6339; Accuracy: 0.4940; Precision: 0.4910; Recall: 0.8939; ROC AUC: 0.5018
+[2024-05-21 16:20:16,736 INFO] Epoch:1, Snapshot:70; F1: 0.6653; Accuracy: 0.5210; Precision: 0.5254; Recall: 0.9067; ROC AUC: 0.5007
+[2024-05-21 16:20:17,580 INFO] Epoch:1, Snapshot:71; F1: 0.6401; Accuracy: 0.4950; Precision: 0.4929; Recall: 0.9126; ROC AUC: 0.5016
+[2024-05-21 16:20:18,440 INFO] Epoch:1, Snapshot:72; F1: 0.6034; Accuracy: 0.4610; Precision: 0.4612; Recall: 0.8723; ROC AUC: 0.4843
+[2024-05-21 16:20:19,159 INFO] Epoch:1, Snapshot:73; F1: 0.5811; Accuracy: 0.4450; Precision: 0.4297; Recall: 0.8974; ROC AUC: 0.5013
+[2024-05-21 16:20:19,941 INFO] Epoch:1, Snapshot:74; F1: 0.5919; Accuracy: 0.4540; Precision: 0.4430; Recall: 0.8919; ROC AUC: 0.4981
+[2024-05-21 16:20:20,800 INFO] Epoch:1, Snapshot:75; F1: 0.6057; Accuracy: 0.4650; Precision: 0.4587; Recall: 0.8915; ROC AUC: 0.4959
+[2024-05-21 16:20:21,582 INFO] Epoch:1, Snapshot:76; F1: 0.6279; Accuracy: 0.4820; Precision: 0.4813; Recall: 0.9029; ROC AUC: 0.4951
+[2024-05-21 16:20:22,504 INFO] Epoch:1, Snapshot:77; F1: 0.6382; Accuracy: 0.4910; Precision: 0.4972; Recall: 0.8909; ROC AUC: 0.4878
+[2024-05-21 16:20:23,411 INFO] Epoch:1, Snapshot:78; F1: 0.6754; Accuracy: 0.5280; Precision: 0.5396; Recall: 0.9026; ROC AUC: 0.4919
+[2024-05-21 16:20:24,302 INFO] Epoch:1, Snapshot:79; F1: 0.6727; Accuracy: 0.5330; Precision: 0.5316; Recall: 0.9160; ROC AUC: 0.5137
+[2024-05-21 16:20:25,114 INFO] Epoch:1, Snapshot:80; F1: 0.6445; Accuracy: 0.4980; Precision: 0.4989; Recall: 0.9100; ROC AUC: 0.4980
+[2024-05-21 16:20:26,052 INFO] Epoch:1, Snapshot:81; F1: 0.6433; Accuracy: 0.5020; Precision: 0.5114; Recall: 0.8668; ROC AUC: 0.4884
+[2024-05-21 16:20:26,880 INFO] Epoch:1, Snapshot:82; F1: 0.6182; Accuracy: 0.4750; Precision: 0.4681; Recall: 0.9101; ROC AUC: 0.5019
+[2024-05-21 16:20:27,849 INFO] Epoch:1, Snapshot:83; F1: 0.6667; Accuracy: 0.5280; Precision: 0.5297; Recall: 0.8990; ROC AUC: 0.5085
+[2024-05-21 16:20:28,678 INFO] Epoch:1, Snapshot:84; F1: 0.6639; Accuracy: 0.5210; Precision: 0.5215; Recall: 0.9131; ROC AUC: 0.5064
+[2024-05-21 16:20:29,584 INFO] Epoch:1, Snapshot:85; F1: 0.6551; Accuracy: 0.5050; Precision: 0.5171; Recall: 0.8935; ROC AUC: 0.4837
+[2024-05-21 16:20:30,444 INFO] Epoch:1, Snapshot:86; F1: 0.6558; Accuracy: 0.5130; Precision: 0.5110; Recall: 0.9152; ROC AUC: 0.5073
+[2024-05-21 16:20:31,366 INFO] Epoch:1, Snapshot:87; F1: 0.6341; Accuracy: 0.4980; Precision: 0.4899; Recall: 0.8988; ROC AUC: 0.5104
+[2024-05-21 16:20:32,304 INFO] Epoch:1, Snapshot:88; F1: 0.6284; Accuracy: 0.4820; Precision: 0.4856; Recall: 0.8902; ROC AUC: 0.4884
+[2024-05-21 16:20:33,366 INFO] Epoch:1, Snapshot:89; F1: 0.6801; Accuracy: 0.5380; Precision: 0.5450; Recall: 0.9042; ROC AUC: 0.5035
+[2024-05-21 16:20:34,116 INFO] Epoch:1, Snapshot:90; F1: 0.6204; Accuracy: 0.4750; Precision: 0.4746; Recall: 0.8956; ROC AUC: 0.4920
+[2024-05-21 16:20:35,007 INFO] Epoch:1, Snapshot:91; F1: 0.6802; Accuracy: 0.5430; Precision: 0.5473; Recall: 0.8983; ROC AUC: 0.5113
+[2024-05-21 16:20:35,851 INFO] Epoch:1, Snapshot:92; F1: 0.6298; Accuracy: 0.4910; Precision: 0.4849; Recall: 0.8983; ROC AUC: 0.5052
+[2024-05-21 16:20:36,679 INFO] Epoch:1, Snapshot:93; F1: 0.6491; Accuracy: 0.5080; Precision: 0.5056; Recall: 0.9064; ROC AUC: 0.5064
+[2024-05-21 16:20:37,445 INFO] Epoch:1, Snapshot:94; F1: 0.6343; Accuracy: 0.4960; Precision: 0.4905; Recall: 0.8973; ROC AUC: 0.5062
+[2024-05-21 16:20:38,320 INFO] Epoch:1, Snapshot:95; F1: 0.6690; Accuracy: 0.5260; Precision: 0.5281; Recall: 0.9124; ROC AUC: 0.5057
+[2024-05-21 16:20:39,258 INFO] Epoch:1, Snapshot:96; F1: 0.6572; Accuracy: 0.5170; Precision: 0.5082; Recall: 0.9297; ROC AUC: 0.5186
+[2024-05-21 16:20:40,164 INFO] Epoch:1, Snapshot:97; F1: 0.6755; Accuracy: 0.5350; Precision: 0.5360; Recall: 0.9132; ROC AUC: 0.5109
+[2024-05-21 16:20:40,914 INFO] Epoch:1, Snapshot:98; F1: 0.6389; Accuracy: 0.4880; Precision: 0.5006; Recall: 0.8830; ROC AUC: 0.4775
+[2024-05-21 16:20:41,790 INFO] Epoch:1, Snapshot:99; F1: 0.6341; Accuracy: 0.4900; Precision: 0.4884; Recall: 0.9039; ROC AUC: 0.4989
+[2024-05-21 16:20:42,869 INFO] Epoch:1, Snapshot:100; F1: 0.6535; Accuracy: 0.5070; Precision: 0.5116; Recall: 0.9047; ROC AUC: 0.4955
+[2024-05-21 16:20:43,744 INFO] Epoch:1, Snapshot:101; F1: 0.6275; Accuracy: 0.4870; Precision: 0.4779; Recall: 0.9133; ROC AUC: 0.5088
+[2024-05-21 16:20:44,635 INFO] Epoch:1, Snapshot:102; F1: 0.6263; Accuracy: 0.4810; Precision: 0.4855; Recall: 0.8824; ROC AUC: 0.4865
+[2024-05-21 16:20:45,526 INFO] Epoch:1, Snapshot:103; F1: 0.6220; Accuracy: 0.4750; Precision: 0.4800; Recall: 0.8834; ROC AUC: 0.4838
+[2024-05-21 16:20:46,307 INFO] Epoch:1, Snapshot:104; F1: 0.6249; Accuracy: 0.4850; Precision: 0.4815; Recall: 0.8900; ROC AUC: 0.4991
+[2024-05-21 16:20:47,261 INFO] Epoch:1, Snapshot:105; F1: 0.5994; Accuracy: 0.4600; Precision: 0.4464; Recall: 0.9120; ROC AUC: 0.5063
+[2024-05-21 16:20:48,214 INFO] Epoch:1, Snapshot:106; F1: 0.5893; Accuracy: 0.4550; Precision: 0.4354; Recall: 0.9114; ROC AUC: 0.5118
+[2024-05-21 16:20:49,121 INFO] Epoch:1, Snapshot:107; F1: 0.6285; Accuracy: 0.4870; Precision: 0.4822; Recall: 0.9023; ROC AUC: 0.5022
+[2024-05-21 16:20:50,105 INFO] Epoch:1, Snapshot:108; F1: 0.6505; Accuracy: 0.5090; Precision: 0.5112; Recall: 0.8943; ROC AUC: 0.5003
+[2024-05-21 16:20:51,028 INFO] Epoch:1, Snapshot:109; F1: 0.6494; Accuracy: 0.5130; Precision: 0.5039; Recall: 0.9130; ROC AUC: 0.5177
+[2024-05-21 16:20:51,871 INFO] Epoch:1, Snapshot:110; F1: 0.6364; Accuracy: 0.4960; Precision: 0.4977; Recall: 0.8820; ROC AUC: 0.4960
+[2024-05-21 16:20:52,700 INFO] Epoch:1, Snapshot:111; F1: 0.6156; Accuracy: 0.4730; Precision: 0.4694; Recall: 0.8941; ROC AUC: 0.4953
+[2024-05-21 16:20:53,731 INFO] Epoch:1, Snapshot:112; F1: 0.6452; Accuracy: 0.5050; Precision: 0.5051; Recall: 0.8929; ROC AUC: 0.5019
+[2024-05-21 16:20:54,622 INFO] Epoch:1, Snapshot:113; F1: 0.6406; Accuracy: 0.4950; Precision: 0.4907; Recall: 0.9221; ROC AUC: 0.5050
+[2024-05-21 16:20:55,731 INFO] Epoch:1, Snapshot:114; F1: 0.6685; Accuracy: 0.5240; Precision: 0.5281; Recall: 0.9108; ROC AUC: 0.5019
+[2024-05-21 16:20:56,779 INFO] Epoch:1, Snapshot:115; F1: 0.6173; Accuracy: 0.4730; Precision: 0.4712; Recall: 0.8947; ROC AUC: 0.4931
+[2024-05-21 16:20:57,748 INFO] Epoch:1, Snapshot:116; F1: 0.6334; Accuracy: 0.4860; Precision: 0.4884; Recall: 0.9006; ROC AUC: 0.4917
+[2024-05-21 16:20:58,779 INFO] Epoch:1, Snapshot:117; F1: 0.6202; Accuracy: 0.4770; Precision: 0.4739; Recall: 0.8971; ROC AUC: 0.4962
+[2024-05-21 16:20:59,765 INFO] Epoch:1, Snapshot:118; F1: 0.6648; Accuracy: 0.5240; Precision: 0.5256; Recall: 0.9042; ROC AUC: 0.5065
+[2024-05-21 16:21:00,739 INFO] Epoch:1, Snapshot:119; F1: 0.6349; Accuracy: 0.4950; Precision: 0.4916; Recall: 0.8959; ROC AUC: 0.5029
+[2024-05-21 16:21:01,734 INFO] Epoch:1, Snapshot:120; F1: 0.6263; Accuracy: 0.4810; Precision: 0.4807; Recall: 0.8988; ROC AUC: 0.4940
+[2024-05-21 16:21:02,688 INFO] Epoch:1, Snapshot:121; F1: 0.6375; Accuracy: 0.4950; Precision: 0.4955; Recall: 0.8934; ROC AUC: 0.4974
+[2024-05-21 16:21:03,594 INFO] Epoch:1, Snapshot:122; F1: 0.6653; Accuracy: 0.5250; Precision: 0.5358; Recall: 0.8773; ROC AUC: 0.4960
+[2024-05-21 16:21:04,594 INFO] Epoch:1, Snapshot:123; F1: 0.6353; Accuracy: 0.4890; Precision: 0.4869; Recall: 0.9138; ROC AUC: 0.4998
+[2024-05-21 16:21:04,610 INFO] Epoch:1, Snapshot: 11; Loss: 1.2646
+[2024-05-21 16:21:11,938 INFO] Epoch:1, Snapshot:37; F1: 0.1550; Accuracy: 0.4440; Precision: 0.5795; Recall: 0.0895; ROC AUC: 0.5017
+[2024-05-21 16:21:12,782 INFO] Epoch:1, Snapshot:38; F1: 0.1483; Accuracy: 0.4600; Precision: 0.5054; Recall: 0.0869; ROC AUC: 0.4933
+[2024-05-21 16:21:13,517 INFO] Epoch:1, Snapshot:39; F1: 0.1345; Accuracy: 0.5110; Precision: 0.4086; Recall: 0.0805; ROC AUC: 0.4882
+[2024-05-21 16:21:14,329 INFO] Epoch:1, Snapshot:40; F1: 0.1511; Accuracy: 0.4830; Precision: 0.5227; Recall: 0.0883; ROC AUC: 0.5003
+[2024-05-21 16:21:15,111 INFO] Epoch:1, Snapshot:41; F1: 0.1690; Accuracy: 0.5280; Precision: 0.5106; Recall: 0.1013; ROC AUC: 0.5069
+[2024-05-21 16:21:15,955 INFO] Epoch:1, Snapshot:42; F1: 0.1554; Accuracy: 0.5000; Precision: 0.4220; Recall: 0.0952; ROC AUC: 0.4867
+[2024-05-21 16:21:16,783 INFO] Epoch:1, Snapshot:43; F1: 0.1463; Accuracy: 0.5330; Precision: 0.4598; Recall: 0.0870; ROC AUC: 0.5000
+[2024-05-21 16:21:17,611 INFO] Epoch:1, Snapshot:44; F1: 0.1290; Accuracy: 0.4600; Precision: 0.5063; Recall: 0.0739; ROC AUC: 0.4945
+[2024-05-21 16:21:18,471 INFO] Epoch:1, Snapshot:45; F1: 0.1582; Accuracy: 0.4680; Precision: 0.5319; Recall: 0.0929; ROC AUC: 0.4988
+[2024-05-21 16:21:19,378 INFO] Epoch:1, Snapshot:46; F1: 0.1642; Accuracy: 0.5010; Precision: 0.5213; Recall: 0.0974; ROC AUC: 0.5034
+[2024-05-21 16:21:20,143 INFO] Epoch:1, Snapshot:47; F1: 0.1681; Accuracy: 0.5250; Precision: 0.4800; Recall: 0.1019; ROC AUC: 0.5018
+[2024-05-21 16:21:21,034 INFO] Epoch:1, Snapshot:48; F1: 0.1355; Accuracy: 0.5150; Precision: 0.4270; Recall: 0.0805; ROC AUC: 0.4920
+[2024-05-21 16:21:21,956 INFO] Epoch:1, Snapshot:49; F1: 0.1479; Accuracy: 0.4930; Precision: 0.5176; Recall: 0.0863; ROC AUC: 0.5013
+[2024-05-21 16:21:22,769 INFO] Epoch:1, Snapshot:50; F1: 0.1576; Accuracy: 0.5190; Precision: 0.4286; Recall: 0.0966; ROC AUC: 0.4921
+[2024-05-21 16:21:23,629 INFO] Epoch:1, Snapshot:51; F1: 0.1667; Accuracy: 0.5200; Precision: 0.5517; Recall: 0.0982; ROC AUC: 0.5109
+[2024-05-21 16:21:24,457 INFO] Epoch:1, Snapshot:52; F1: 0.1592; Accuracy: 0.4930; Precision: 0.5517; Recall: 0.0930; ROC AUC: 0.5062
+[2024-05-21 16:21:25,395 INFO] Epoch:1, Snapshot:53; F1: 0.1284; Accuracy: 0.4840; Precision: 0.5067; Recall: 0.0735; ROC AUC: 0.4984
+[2024-05-21 16:21:26,255 INFO] Epoch:1, Snapshot:54; F1: 0.1536; Accuracy: 0.5260; Precision: 0.4886; Recall: 0.0911; ROC AUC: 0.5029
+[2024-05-21 16:21:27,099 INFO] Epoch:1, Snapshot:55; F1: 0.1685; Accuracy: 0.4770; Precision: 0.5521; Recall: 0.0994; ROC AUC: 0.5037
+[2024-05-21 16:21:27,927 INFO] Epoch:1, Snapshot:56; F1: 0.1477; Accuracy: 0.4920; Precision: 0.5366; Recall: 0.0856; ROC AUC: 0.5037
+[2024-05-21 16:21:28,693 INFO] Epoch:1, Snapshot:57; F1: 0.1650; Accuracy: 0.5040; Precision: 0.5976; Recall: 0.0957; ROC AUC: 0.5140
+[2024-05-21 16:21:29,522 INFO] Epoch:1, Snapshot:58; F1: 0.1554; Accuracy: 0.5000; Precision: 0.4842; Recall: 0.0926; ROC AUC: 0.4976
+[2024-05-21 16:21:30,475 INFO] Epoch:1, Snapshot:59; F1: 0.1629; Accuracy: 0.4760; Precision: 0.5667; Recall: 0.0951; ROC AUC: 0.5055
+[2024-05-21 16:21:31,335 INFO] Epoch:1, Snapshot:60; F1: 0.1458; Accuracy: 0.4960; Precision: 0.5244; Recall: 0.0846; ROC AUC: 0.5027
+[2024-05-21 16:21:32,320 INFO] Epoch:1, Snapshot:61; F1: 0.1821; Accuracy: 0.5240; Precision: 0.5300; Recall: 0.1100; ROC AUC: 0.5096
+[2024-05-21 16:21:33,336 INFO] Epoch:1, Snapshot:62; F1: 0.1381; Accuracy: 0.5130; Precision: 0.4643; Recall: 0.0811; ROC AUC: 0.4972
+[2024-05-21 16:21:34,367 INFO] Epoch:1, Snapshot:63; F1: 0.1453; Accuracy: 0.4940; Precision: 0.4886; Recall: 0.0853; ROC AUC: 0.4973
+[2024-05-21 16:21:35,305 INFO] Epoch:1, Snapshot:64; F1: 0.1555; Accuracy: 0.5220; Precision: 0.4583; Recall: 0.0936; ROC AUC: 0.4978
+[2024-05-21 16:21:36,185 INFO] Epoch:1, Snapshot:65; F1: 0.1661; Accuracy: 0.5280; Precision: 0.4845; Recall: 0.1002; ROC AUC: 0.5030
+[2024-05-21 16:21:37,180 INFO] Epoch:1, Snapshot:66; F1: 0.1400; Accuracy: 0.4470; Precision: 0.5422; Recall: 0.0804; ROC AUC: 0.4970
+[2024-05-21 16:21:38,009 INFO] Epoch:1, Snapshot:67; F1: 0.1092; Accuracy: 0.4940; Precision: 0.4559; Recall: 0.0620; ROC AUC: 0.4940
+[2024-05-21 16:21:38,790 INFO] Epoch:1, Snapshot:68; F1: 0.1630; Accuracy: 0.5070; Precision: 0.4486; Recall: 0.0996; ROC AUC: 0.4928
+[2024-05-21 16:21:39,649 INFO] Epoch:1, Snapshot:69; F1: 0.1220; Accuracy: 0.4960; Precision: 0.4167; Recall: 0.0714; ROC AUC: 0.4877
+[2024-05-21 16:21:40,572 INFO] Epoch:1, Snapshot:70; F1: 0.1699; Accuracy: 0.4820; Precision: 0.5354; Recall: 0.1010; ROC AUC: 0.5021
+[2024-05-21 16:21:41,432 INFO] Epoch:1, Snapshot:71; F1: 0.1575; Accuracy: 0.4970; Precision: 0.4476; Recall: 0.0955; ROC AUC: 0.4907
+[2024-05-21 16:21:42,244 INFO] Epoch:1, Snapshot:72; F1: 0.1640; Accuracy: 0.5310; Precision: 0.5055; Recall: 0.0979; ROC AUC: 0.5065
+[2024-05-21 16:21:42,979 INFO] Epoch:1, Snapshot:73; F1: 0.1456; Accuracy: 0.5540; Precision: 0.4086; Recall: 0.0886; ROC AUC: 0.4961
+[2024-05-21 16:21:43,761 INFO] Epoch:1, Snapshot:74; F1: 0.1504; Accuracy: 0.5480; Precision: 0.4545; Recall: 0.0901; ROC AUC: 0.5019
+[2024-05-21 16:21:44,589 INFO] Epoch:1, Snapshot:75; F1: 0.1282; Accuracy: 0.5240; Precision: 0.4118; Recall: 0.0759; ROC AUC: 0.4916
+[2024-05-21 16:21:45,355 INFO] Epoch:1, Snapshot:76; F1: 0.0969; Accuracy: 0.4970; Precision: 0.3699; Recall: 0.0558; ROC AUC: 0.4833
+[2024-05-21 16:21:46,324 INFO] Epoch:1, Snapshot:77; F1: 0.1278; Accuracy: 0.4950; Precision: 0.4933; Recall: 0.0734; ROC AUC: 0.4984
+[2024-05-21 16:21:47,215 INFO] Epoch:1, Snapshot:78; F1: 0.1219; Accuracy: 0.4670; Precision: 0.5873; Recall: 0.0680; ROC AUC: 0.5055
+[2024-05-21 16:21:48,106 INFO] Epoch:1, Snapshot:79; F1: 0.1726; Accuracy: 0.4920; Precision: 0.5889; Recall: 0.1011; ROC AUC: 0.5117
+[2024-05-21 16:21:48,903 INFO] Epoch:1, Snapshot:80; F1: 0.1503; Accuracy: 0.4910; Precision: 0.4545; Recall: 0.0900; ROC AUC: 0.4910
+[2024-05-21 16:21:49,888 INFO] Epoch:1, Snapshot:81; F1: 0.1600; Accuracy: 0.4750; Precision: 0.4673; Recall: 0.0965; ROC AUC: 0.4891
+[2024-05-21 16:21:50,670 INFO] Epoch:1, Snapshot:82; F1: 0.1431; Accuracy: 0.5210; Precision: 0.4348; Recall: 0.0857; ROC AUC: 0.4940
+[2024-05-21 16:21:51,670 INFO] Epoch:1, Snapshot:83; F1: 0.1471; Accuracy: 0.4780; Precision: 0.5172; Recall: 0.0857; ROC AUC: 0.4986
+[2024-05-21 16:21:52,514 INFO] Epoch:1, Snapshot:84; F1: 0.1803; Accuracy: 0.5000; Precision: 0.5978; Recall: 0.1062; ROC AUC: 0.5147
+[2024-05-21 16:21:53,358 INFO] Epoch:1, Snapshot:85; F1: 0.1494; Accuracy: 0.4760; Precision: 0.5111; Recall: 0.0875; ROC AUC: 0.4973
+[2024-05-21 16:21:54,233 INFO] Epoch:1, Snapshot:86; F1: 0.1503; Accuracy: 0.4910; Precision: 0.4891; Recall: 0.0888; ROC AUC: 0.4967
+[2024-05-21 16:21:55,124 INFO] Epoch:1, Snapshot:87; F1: 0.2143; Accuracy: 0.5380; Precision: 0.6058; Recall: 0.1302; ROC AUC: 0.5254
+[2024-05-21 16:21:55,984 INFO] Epoch:1, Snapshot:88; F1: 0.1384; Accuracy: 0.5020; Precision: 0.4651; Recall: 0.0813; ROC AUC: 0.4954
+[2024-05-21 16:21:57,031 INFO] Epoch:1, Snapshot:89; F1: 0.1483; Accuracy: 0.4600; Precision: 0.5165; Recall: 0.0866; ROC AUC: 0.4951
+[2024-05-21 16:21:57,797 INFO] Epoch:1, Snapshot:90; F1: 0.1774; Accuracy: 0.5270; Precision: 0.5312; Recall: 0.1065; ROC AUC: 0.5100
+[2024-05-21 16:21:58,672 INFO] Epoch:1, Snapshot:91; F1: 0.1037; Accuracy: 0.4470; Precision: 0.4211; Recall: 0.0591; ROC AUC: 0.4816
+[2024-05-21 16:21:59,579 INFO] Epoch:1, Snapshot:92; F1: 0.1634; Accuracy: 0.5290; Precision: 0.5679; Recall: 0.0954; ROC AUC: 0.5139
+[2024-05-21 16:22:00,392 INFO] Epoch:1, Snapshot:93; F1: 0.1494; Accuracy: 0.4990; Precision: 0.5057; Recall: 0.0876; ROC AUC: 0.5007
+[2024-05-21 16:22:01,173 INFO] Epoch:1, Snapshot:94; F1: 0.1675; Accuracy: 0.5130; Precision: 0.5000; Recall: 0.1006; ROC AUC: 0.5025
+[2024-05-21 16:22:02,048 INFO] Epoch:1, Snapshot:95; F1: 0.1756; Accuracy: 0.4930; Precision: 0.6000; Recall: 0.1029; ROC AUC: 0.5135
+[2024-05-21 16:22:03,001 INFO] Epoch:1, Snapshot:96; F1: 0.1879; Accuracy: 0.5160; Precision: 0.5714; Recall: 0.1124; ROC AUC: 0.5144
+[2024-05-21 16:22:03,908 INFO] Epoch:1, Snapshot:97; F1: 0.1543; Accuracy: 0.4740; Precision: 0.5217; Recall: 0.0906; ROC AUC: 0.4985
+[2024-05-21 16:22:04,674 INFO] Epoch:1, Snapshot:98; F1: 0.1608; Accuracy: 0.4780; Precision: 0.4587; Recall: 0.0975; ROC AUC: 0.4882
+[2024-05-21 16:22:05,628 INFO] Epoch:1, Snapshot:99; F1: 0.1618; Accuracy: 0.5130; Precision: 0.5109; Recall: 0.0961; ROC AUC: 0.5040
+[2024-05-21 16:22:06,768 INFO] Epoch:1, Snapshot:100; F1: 0.0976; Accuracy: 0.4640; Precision: 0.3625; Recall: 0.0564; ROC AUC: 0.4757
+[2024-05-21 16:22:07,597 INFO] Epoch:1, Snapshot:101; F1: 0.1261; Accuracy: 0.5150; Precision: 0.4268; Recall: 0.0740; ROC AUC: 0.4924
+[2024-05-21 16:22:08,488 INFO] Epoch:1, Snapshot:102; F1: 0.1456; Accuracy: 0.5070; Precision: 0.5000; Recall: 0.0852; ROC AUC: 0.5012
+[2024-05-21 16:22:09,316 INFO] Epoch:1, Snapshot:103; F1: 0.2030; Accuracy: 0.5210; Precision: 0.5446; Recall: 0.1247; ROC AUC: 0.5125
+[2024-05-21 16:22:10,129 INFO] Epoch:1, Snapshot:104; F1: 0.1446; Accuracy: 0.5150; Precision: 0.4824; Recall: 0.0851; ROC AUC: 0.5001
+[2024-05-21 16:22:11,020 INFO] Epoch:1, Snapshot:105; F1: 0.1257; Accuracy: 0.5410; Precision: 0.4024; Recall: 0.0745; ROC AUC: 0.4933
+[2024-05-21 16:22:11,926 INFO] Epoch:1, Snapshot:106; F1: 0.0996; Accuracy: 0.5300; Precision: 0.2796; Recall: 0.0606; ROC AUC: 0.4716
+[2024-05-21 16:22:12,817 INFO] Epoch:1, Snapshot:107; F1: 0.1496; Accuracy: 0.5110; Precision: 0.4574; Recall: 0.0894; ROC AUC: 0.4956
+[2024-05-21 16:22:13,833 INFO] Epoch:1, Snapshot:108; F1: 0.1382; Accuracy: 0.4760; Precision: 0.4330; Recall: 0.0822; ROC AUC: 0.4849
+[2024-05-21 16:22:14,739 INFO] Epoch:1, Snapshot:109; F1: 0.1463; Accuracy: 0.4980; Precision: 0.4574; Recall: 0.0870; ROC AUC: 0.4931
+[2024-05-21 16:22:15,599 INFO] Epoch:1, Snapshot:110; F1: 0.1667; Accuracy: 0.5100; Precision: 0.5568; Recall: 0.0980; ROC AUC: 0.5100
+[2024-05-21 16:22:16,428 INFO] Epoch:1, Snapshot:111; F1: 0.1395; Accuracy: 0.5190; Precision: 0.4483; Recall: 0.0826; ROC AUC: 0.4959
+[2024-05-21 16:22:17,490 INFO] Epoch:1, Snapshot:112; F1: 0.1624; Accuracy: 0.5050; Precision: 0.5517; Recall: 0.0952; ROC AUC: 0.5083
+[2024-05-21 16:22:18,381 INFO] Epoch:1, Snapshot:113; F1: 0.1882; Accuracy: 0.5170; Precision: 0.5234; Recall: 0.1148; ROC AUC: 0.5076
+[2024-05-21 16:22:19,475 INFO] Epoch:1, Snapshot:114; F1: 0.1410; Accuracy: 0.4640; Precision: 0.4536; Recall: 0.0835; ROC AUC: 0.4857
+[2024-05-21 16:22:20,522 INFO] Epoch:1, Snapshot:115; F1: 0.1593; Accuracy: 0.5250; Precision: 0.5000; Recall: 0.0947; ROC AUC: 0.5045
+[2024-05-21 16:22:21,507 INFO] Epoch:1, Snapshot:116; F1: 0.1386; Accuracy: 0.5030; Precision: 0.4762; Recall: 0.0811; ROC AUC: 0.4972
+[2024-05-21 16:22:22,586 INFO] Epoch:1, Snapshot:117; F1: 0.1326; Accuracy: 0.5160; Precision: 0.4512; Recall: 0.0777; ROC AUC: 0.4959
+[2024-05-21 16:22:23,539 INFO] Epoch:1, Snapshot:118; F1: 0.1833; Accuracy: 0.4920; Precision: 0.5700; Recall: 0.1092; ROC AUC: 0.5096
+[2024-05-21 16:22:24,555 INFO] Epoch:1, Snapshot:119; F1: 0.1146; Accuracy: 0.4900; Precision: 0.3837; Recall: 0.0673; ROC AUC: 0.4817
+[2024-05-21 16:22:25,539 INFO] Epoch:1, Snapshot:120; F1: 0.1493; Accuracy: 0.5100; Precision: 0.4674; Recall: 0.0888; ROC AUC: 0.4969
+[2024-05-21 16:22:26,493 INFO] Epoch:1, Snapshot:121; F1: 0.1509; Accuracy: 0.5050; Precision: 0.5116; Recall: 0.0885; ROC AUC: 0.5025
+[2024-05-21 16:22:27,447 INFO] Epoch:1, Snapshot:122; F1: 0.1476; Accuracy: 0.4570; Precision: 0.4747; Recall: 0.0874; ROC AUC: 0.4874
+[2024-05-21 16:22:28,478 INFO] Epoch:1, Snapshot:123; F1: 0.1541; Accuracy: 0.5170; Precision: 0.5238; Recall: 0.0903; ROC AUC: 0.5062
+[2024-05-21 16:22:28,478 INFO] Epoch:1, Snapshot: 12; Loss: 2.0280
+[2024-05-21 16:22:35,682 INFO] Epoch:1, Snapshot:37; F1: 0.0000; Accuracy: 0.4300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:36,558 INFO] Epoch:1, Snapshot:38; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:37,276 INFO] Epoch:1, Snapshot:39; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:38,120 INFO] Epoch:1, Snapshot:40; F1: 0.0000; Accuracy: 0.4790; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:38,891 INFO] Epoch:1, Snapshot:41; F1: 0.0000; Accuracy: 0.5260; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:39,730 INFO] Epoch:1, Snapshot:42; F1: 0.0000; Accuracy: 0.5170; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:40,559 INFO] Epoch:1, Snapshot:43; F1: 0.0000; Accuracy: 0.5400; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:41,418 INFO] Epoch:1, Snapshot:44; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:42,278 INFO] Epoch:1, Snapshot:45; F1: 0.0000; Accuracy: 0.4620; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:43,185 INFO] Epoch:1, Snapshot:46; F1: 0.0000; Accuracy: 0.4970; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:43,982 INFO] Epoch:1, Snapshot:47; F1: 0.0000; Accuracy: 0.5290; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:44,904 INFO] Epoch:1, Snapshot:48; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:45,764 INFO] Epoch:1, Snapshot:49; F1: 0.0000; Accuracy: 0.4900; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:46,655 INFO] Epoch:1, Snapshot:50; F1: 0.0000; Accuracy: 0.5340; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:47,499 INFO] Epoch:1, Snapshot:51; F1: 0.0000; Accuracy: 0.5110; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:48,359 INFO] Epoch:1, Snapshot:52; F1: 0.0000; Accuracy: 0.4840; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:49,265 INFO] Epoch:1, Snapshot:53; F1: 0.0000; Accuracy: 0.4830; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:50,062 INFO] Epoch:1, Snapshot:54; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:50,969 INFO] Epoch:1, Snapshot:55; F1: 0.0000; Accuracy: 0.4670; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:51,813 INFO] Epoch:1, Snapshot:56; F1: 0.0000; Accuracy: 0.4860; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:52,595 INFO] Epoch:1, Snapshot:57; F1: 0.0000; Accuracy: 0.4880; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:53,486 INFO] Epoch:1, Snapshot:58; F1: 0.0000; Accuracy: 0.5030; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:54,455 INFO] Epoch:1, Snapshot:59; F1: 0.0000; Accuracy: 0.4640; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:55,314 INFO] Epoch:1, Snapshot:60; F1: 0.0000; Accuracy: 0.4920; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:56,314 INFO] Epoch:1, Snapshot:61; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:57,315 INFO] Epoch:1, Snapshot:62; F1: 0.0000; Accuracy: 0.5190; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:58,424 INFO] Epoch:1, Snapshot:63; F1: 0.0000; Accuracy: 0.4960; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:22:59,393 INFO] Epoch:1, Snapshot:64; F1: 0.0000; Accuracy: 0.5300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:00,284 INFO] Epoch:1, Snapshot:65; F1: 0.0000; Accuracy: 0.5310; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:01,254 INFO] Epoch:1, Snapshot:66; F1: 0.0000; Accuracy: 0.4400; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:02,129 INFO] Epoch:1, Snapshot:67; F1: 0.0000; Accuracy: 0.5000; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:02,895 INFO] Epoch:1, Snapshot:68; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:03,786 INFO] Epoch:1, Snapshot:69; F1: 0.0000; Accuracy: 0.5100; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:04,693 INFO] Epoch:1, Snapshot:70; F1: 0.0000; Accuracy: 0.4750; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:05,537 INFO] Epoch:1, Snapshot:71; F1: 0.0000; Accuracy: 0.5080; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:06,397 INFO] Epoch:1, Snapshot:72; F1: 0.0000; Accuracy: 0.5300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:07,163 INFO] Epoch:1, Snapshot:73; F1: 0.0000; Accuracy: 0.5710; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:07,929 INFO] Epoch:1, Snapshot:74; F1: 0.0000; Accuracy: 0.5560; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:08,757 INFO] Epoch:1, Snapshot:75; F1: 0.0000; Accuracy: 0.5390; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:09,507 INFO] Epoch:1, Snapshot:76; F1: 0.0000; Accuracy: 0.5160; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:10,476 INFO] Epoch:1, Snapshot:77; F1: 0.0000; Accuracy: 0.4960; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:11,382 INFO] Epoch:1, Snapshot:78; F1: 0.0000; Accuracy: 0.4560; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:12,257 INFO] Epoch:1, Snapshot:79; F1: 0.0000; Accuracy: 0.4760; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:13,117 INFO] Epoch:1, Snapshot:80; F1: 0.0000; Accuracy: 0.5000; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:14,086 INFO] Epoch:1, Snapshot:81; F1: 0.0000; Accuracy: 0.4820; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:14,930 INFO] Epoch:1, Snapshot:82; F1: 0.0000; Accuracy: 0.5330; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:15,899 INFO] Epoch:1, Snapshot:83; F1: 0.0000; Accuracy: 0.4750; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:16,743 INFO] Epoch:1, Snapshot:84; F1: 0.0000; Accuracy: 0.4820; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:17,619 INFO] Epoch:1, Snapshot:85; F1: 0.0000; Accuracy: 0.4740; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:18,510 INFO] Epoch:1, Snapshot:86; F1: 0.0000; Accuracy: 0.4930; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:19,400 INFO] Epoch:1, Snapshot:87; F1: 0.0000; Accuracy: 0.5160; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:20,292 INFO] Epoch:1, Snapshot:88; F1: 0.0000; Accuracy: 0.5080; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:21,339 INFO] Epoch:1, Snapshot:89; F1: 0.0000; Accuracy: 0.4570; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:22,136 INFO] Epoch:1, Snapshot:90; F1: 0.0000; Accuracy: 0.5210; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:23,028 INFO] Epoch:1, Snapshot:91; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:23,903 INFO] Epoch:1, Snapshot:92; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:24,731 INFO] Epoch:1, Snapshot:93; F1: 0.0000; Accuracy: 0.4980; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:25,513 INFO] Epoch:1, Snapshot:94; F1: 0.0000; Accuracy: 0.5130; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:26,372 INFO] Epoch:1, Snapshot:95; F1: 0.0000; Accuracy: 0.4750; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:27,263 INFO] Epoch:1, Snapshot:96; F1: 0.0000; Accuracy: 0.5020; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:28,216 INFO] Epoch:1, Snapshot:97; F1: 0.0000; Accuracy: 0.4700; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:28,997 INFO] Epoch:1, Snapshot:98; F1: 0.0000; Accuracy: 0.4870; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:29,842 INFO] Epoch:1, Snapshot:99; F1: 0.0000; Accuracy: 0.5110; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:30,921 INFO] Epoch:1, Snapshot:100; F1: 0.0000; Accuracy: 0.4860; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:31,780 INFO] Epoch:1, Snapshot:101; F1: 0.0000; Accuracy: 0.5270; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:32,718 INFO] Epoch:1, Snapshot:102; F1: 0.0000; Accuracy: 0.5070; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:33,593 INFO] Epoch:1, Snapshot:103; F1: 0.0000; Accuracy: 0.5110; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:34,406 INFO] Epoch:1, Snapshot:104; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:35,301 INFO] Epoch:1, Snapshot:105; F1: 0.0000; Accuracy: 0.5570; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:36,282 INFO] Epoch:1, Snapshot:106; F1: 0.0000; Accuracy: 0.5710; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:37,173 INFO] Epoch:1, Snapshot:107; F1: 0.0000; Accuracy: 0.5190; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:38,204 INFO] Epoch:1, Snapshot:108; F1: 0.0000; Accuracy: 0.4890; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:39,142 INFO] Epoch:1, Snapshot:109; F1: 0.0000; Accuracy: 0.5060; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:39,970 INFO] Epoch:1, Snapshot:110; F1: 0.0000; Accuracy: 0.5000; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:40,767 INFO] Epoch:1, Snapshot:111; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:41,815 INFO] Epoch:1, Snapshot:112; F1: 0.0000; Accuracy: 0.4960; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:42,705 INFO] Epoch:1, Snapshot:113; F1: 0.0000; Accuracy: 0.5120; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:43,799 INFO] Epoch:1, Snapshot:114; F1: 0.0000; Accuracy: 0.4730; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:44,847 INFO] Epoch:1, Snapshot:115; F1: 0.0000; Accuracy: 0.5250; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:45,847 INFO] Epoch:1, Snapshot:116; F1: 0.0000; Accuracy: 0.5070; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:46,879 INFO] Epoch:1, Snapshot:117; F1: 0.0000; Accuracy: 0.5240; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:47,848 INFO] Epoch:1, Snapshot:118; F1: 0.0000; Accuracy: 0.4780; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:48,880 INFO] Epoch:1, Snapshot:119; F1: 0.0000; Accuracy: 0.5100; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:49,864 INFO] Epoch:1, Snapshot:120; F1: 0.0000; Accuracy: 0.5160; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:50,849 INFO] Epoch:1, Snapshot:121; F1: 0.0000; Accuracy: 0.5030; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:51,740 INFO] Epoch:1, Snapshot:122; F1: 0.0000; Accuracy: 0.4620; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:52,772 INFO] Epoch:1, Snapshot:123; F1: 0.0000; Accuracy: 0.5130; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 16:23:52,772 INFO] Epoch:1, Snapshot: 13; Loss: 1.0464
+[2024-05-21 16:23:59,836 INFO] Epoch:1, Snapshot:37; F1: 0.7268; Accuracy: 0.5730; Precision: 0.5720; Recall: 0.9965; ROC AUC: 0.5041
+[2024-05-21 16:24:00,727 INFO] Epoch:1, Snapshot:38; F1: 0.6985; Accuracy: 0.5390; Precision: 0.5405; Recall: 0.9871; ROC AUC: 0.4990
+[2024-05-21 16:24:01,477 INFO] Epoch:1, Snapshot:39; F1: 0.6425; Accuracy: 0.4770; Precision: 0.4743; Recall: 0.9958; ROC AUC: 0.5045
+[2024-05-21 16:24:02,305 INFO] Epoch:1, Snapshot:40; F1: 0.6825; Accuracy: 0.5200; Precision: 0.5207; Recall: 0.9904; ROC AUC: 0.4994
+[2024-05-21 16:24:03,087 INFO] Epoch:1, Snapshot:41; F1: 0.6411; Accuracy: 0.4750; Precision: 0.4742; Recall: 0.9895; ROC AUC: 0.5004
+[2024-05-21 16:24:03,915 INFO] Epoch:1, Snapshot:42; F1: 0.6477; Accuracy: 0.4810; Precision: 0.4818; Recall: 0.9876; ROC AUC: 0.4977
+[2024-05-21 16:24:04,696 INFO] Epoch:1, Snapshot:43; F1: 0.6285; Accuracy: 0.4620; Precision: 0.4605; Recall: 0.9891; ROC AUC: 0.5010
+[2024-05-21 16:24:05,525 INFO] Epoch:1, Snapshot:44; F1: 0.6997; Accuracy: 0.5400; Precision: 0.5409; Recall: 0.9908; ROC AUC: 0.4997
+[2024-05-21 16:24:06,431 INFO] Epoch:1, Snapshot:45; F1: 0.6978; Accuracy: 0.5400; Precision: 0.5396; Recall: 0.9870; ROC AUC: 0.5032
+[2024-05-21 16:24:07,338 INFO] Epoch:1, Snapshot:46; F1: 0.6626; Accuracy: 0.4980; Precision: 0.5005; Recall: 0.9801; ROC AUC: 0.4951
+[2024-05-21 16:24:08,119 INFO] Epoch:1, Snapshot:47; F1: 0.6420; Accuracy: 0.4780; Precision: 0.4742; Recall: 0.9936; ROC AUC: 0.5063
+[2024-05-21 16:24:09,042 INFO] Epoch:1, Snapshot:48; F1: 0.6389; Accuracy: 0.4720; Precision: 0.4717; Recall: 0.9894; ROC AUC: 0.4994
+[2024-05-21 16:24:09,933 INFO] Epoch:1, Snapshot:49; F1: 0.6702; Accuracy: 0.5060; Precision: 0.5081; Recall: 0.9843; ROC AUC: 0.4962
+[2024-05-21 16:24:10,761 INFO] Epoch:1, Snapshot:50; F1: 0.6327; Accuracy: 0.4660; Precision: 0.4656; Recall: 0.9871; ROC AUC: 0.4992
+[2024-05-21 16:24:11,605 INFO] Epoch:1, Snapshot:51; F1: 0.6563; Accuracy: 0.4900; Precision: 0.4894; Recall: 0.9959; ROC AUC: 0.5009
+[2024-05-21 16:24:12,496 INFO] Epoch:1, Snapshot:52; F1: 0.6781; Accuracy: 0.5140; Precision: 0.5151; Recall: 0.9922; ROC AUC: 0.4982
+[2024-05-21 16:24:13,388 INFO] Epoch:1, Snapshot:53; F1: 0.6786; Accuracy: 0.5160; Precision: 0.5167; Recall: 0.9884; ROC AUC: 0.4994
+[2024-05-21 16:24:14,200 INFO] Epoch:1, Snapshot:54; F1: 0.6384; Accuracy: 0.4710; Precision: 0.4712; Recall: 0.9894; ROC AUC: 0.4985
+[2024-05-21 16:24:15,075 INFO] Epoch:1, Snapshot:55; F1: 0.6903; Accuracy: 0.5290; Precision: 0.5314; Recall: 0.9850; ROC AUC: 0.4968
+[2024-05-21 16:24:15,919 INFO] Epoch:1, Snapshot:56; F1: 0.6760; Accuracy: 0.5130; Precision: 0.5137; Recall: 0.9883; ROC AUC: 0.4993
+[2024-05-21 16:24:16,701 INFO] Epoch:1, Snapshot:57; F1: 0.6751; Accuracy: 0.5140; Precision: 0.5132; Recall: 0.9863; ROC AUC: 0.5024
+[2024-05-21 16:24:17,498 INFO] Epoch:1, Snapshot:58; F1: 0.6649; Accuracy: 0.5020; Precision: 0.4995; Recall: 0.9940; ROC AUC: 0.5049
+[2024-05-21 16:24:18,436 INFO] Epoch:1, Snapshot:59; F1: 0.6994; Accuracy: 0.5410; Precision: 0.5388; Recall: 0.9963; ROC AUC: 0.5057
+[2024-05-21 16:24:19,326 INFO] Epoch:1, Snapshot:60; F1: 0.6747; Accuracy: 0.5140; Precision: 0.5112; Recall: 0.9921; ROC AUC: 0.5062
+[2024-05-21 16:24:20,311 INFO] Epoch:1, Snapshot:61; F1: 0.6513; Accuracy: 0.4870; Precision: 0.4843; Recall: 0.9938; ROC AUC: 0.5046
+[2024-05-21 16:24:21,296 INFO] Epoch:1, Snapshot:62; F1: 0.6495; Accuracy: 0.4840; Precision: 0.4823; Recall: 0.9938; ROC AUC: 0.5027
+[2024-05-21 16:24:22,343 INFO] Epoch:1, Snapshot:63; F1: 0.6689; Accuracy: 0.5060; Precision: 0.5051; Recall: 0.9901; ROC AUC: 0.5021
+[2024-05-21 16:24:23,265 INFO] Epoch:1, Snapshot:64; F1: 0.6365; Accuracy: 0.4700; Precision: 0.4696; Recall: 0.9872; ROC AUC: 0.4993
+[2024-05-21 16:24:24,156 INFO] Epoch:1, Snapshot:65; F1: 0.6405; Accuracy: 0.4770; Precision: 0.4726; Recall: 0.9936; ROC AUC: 0.5072
+[2024-05-21 16:24:25,125 INFO] Epoch:1, Snapshot:66; F1: 0.7153; Accuracy: 0.5590; Precision: 0.5602; Recall: 0.9893; ROC AUC: 0.5003
+[2024-05-21 16:24:25,938 INFO] Epoch:1, Snapshot:67; F1: 0.6653; Accuracy: 0.5020; Precision: 0.5010; Recall: 0.9900; ROC AUC: 0.5020
+[2024-05-21 16:24:26,688 INFO] Epoch:1, Snapshot:68; F1: 0.6431; Accuracy: 0.4750; Precision: 0.4783; Recall: 0.9813; ROC AUC: 0.4926
+[2024-05-21 16:24:27,547 INFO] Epoch:1, Snapshot:69; F1: 0.6554; Accuracy: 0.4910; Precision: 0.4904; Recall: 0.9878; ROC AUC: 0.5007
+[2024-05-21 16:24:28,485 INFO] Epoch:1, Snapshot:70; F1: 0.6851; Accuracy: 0.5230; Precision: 0.5242; Recall: 0.9886; ROC AUC: 0.4985
+[2024-05-21 16:24:29,345 INFO] Epoch:1, Snapshot:71; F1: 0.6563; Accuracy: 0.4920; Precision: 0.4919; Recall: 0.9858; ROC AUC: 0.4998
+[2024-05-21 16:24:30,158 INFO] Epoch:1, Snapshot:72; F1: 0.6366; Accuracy: 0.4680; Precision: 0.4688; Recall: 0.9915; ROC AUC: 0.4976
+[2024-05-21 16:24:30,846 INFO] Epoch:1, Snapshot:73; F1: 0.6000; Accuracy: 0.4320; Precision: 0.4299; Recall: 0.9930; ROC AUC: 0.5018
+[2024-05-21 16:24:31,627 INFO] Epoch:1, Snapshot:74; F1: 0.6169; Accuracy: 0.4510; Precision: 0.4469; Recall: 0.9955; ROC AUC: 0.5058
+[2024-05-21 16:24:32,456 INFO] Epoch:1, Snapshot:75; F1: 0.6276; Accuracy: 0.4600; Precision: 0.4601; Recall: 0.9870; ROC AUC: 0.4981
+[2024-05-21 16:24:33,222 INFO] Epoch:1, Snapshot:76; F1: 0.6503; Accuracy: 0.4860; Precision: 0.4848; Recall: 0.9876; ROC AUC: 0.5016
+[2024-05-21 16:24:34,128 INFO] Epoch:1, Snapshot:77; F1: 0.6707; Accuracy: 0.5060; Precision: 0.5050; Recall: 0.9980; ROC AUC: 0.5020
+[2024-05-21 16:24:35,019 INFO] Epoch:1, Snapshot:78; F1: 0.7007; Accuracy: 0.5420; Precision: 0.5436; Recall: 0.9853; ROC AUC: 0.4992
+[2024-05-21 16:24:35,879 INFO] Epoch:1, Snapshot:79; F1: 0.6817; Accuracy: 0.5210; Precision: 0.5229; Recall: 0.9790; ROC AUC: 0.4979
+[2024-05-21 16:24:36,707 INFO] Epoch:1, Snapshot:80; F1: 0.6640; Accuracy: 0.4970; Precision: 0.4985; Recall: 0.9940; ROC AUC: 0.4970
+[2024-05-21 16:24:37,660 INFO] Epoch:1, Snapshot:81; F1: 0.6829; Accuracy: 0.5190; Precision: 0.5185; Recall: 1.0000; ROC AUC: 0.5010
+[2024-05-21 16:24:38,504 INFO] Epoch:1, Snapshot:82; F1: 0.6345; Accuracy: 0.4690; Precision: 0.4675; Recall: 0.9872; ROC AUC: 0.5011
+[2024-05-21 16:24:39,489 INFO] Epoch:1, Snapshot:83; F1: 0.6812; Accuracy: 0.5180; Precision: 0.5218; Recall: 0.9810; ROC AUC: 0.4936
+[2024-05-21 16:24:40,364 INFO] Epoch:1, Snapshot:84; F1: 0.6782; Accuracy: 0.5150; Precision: 0.5167; Recall: 0.9865; ROC AUC: 0.4974
+[2024-05-21 16:24:41,208 INFO] Epoch:1, Snapshot:85; F1: 0.6917; Accuracy: 0.5320; Precision: 0.5292; Recall: 0.9981; ROC AUC: 0.5064
+[2024-05-21 16:24:42,083 INFO] Epoch:1, Snapshot:86; F1: 0.6738; Accuracy: 0.5120; Precision: 0.5096; Recall: 0.9941; ROC AUC: 0.5052
+[2024-05-21 16:24:43,021 INFO] Epoch:1, Snapshot:87; F1: 0.6513; Accuracy: 0.4860; Precision: 0.4848; Recall: 0.9917; ROC AUC: 0.5017
+[2024-05-21 16:24:43,880 INFO] Epoch:1, Snapshot:88; F1: 0.6590; Accuracy: 0.4960; Precision: 0.4939; Recall: 0.9898; ROC AUC: 0.5038
+[2024-05-21 16:24:44,911 INFO] Epoch:1, Snapshot:89; F1: 0.7035; Accuracy: 0.5440; Precision: 0.5437; Recall: 0.9963; ROC AUC: 0.5014
+[2024-05-21 16:24:45,693 INFO] Epoch:1, Snapshot:90; F1: 0.6495; Accuracy: 0.4830; Precision: 0.4809; Recall: 1.0000; ROC AUC: 0.5038
+[2024-05-21 16:24:46,615 INFO] Epoch:1, Snapshot:91; F1: 0.7037; Accuracy: 0.5460; Precision: 0.5439; Recall: 0.9963; ROC AUC: 0.5058
+[2024-05-21 16:24:47,553 INFO] Epoch:1, Snapshot:92; F1: 0.6495; Accuracy: 0.4840; Precision: 0.4828; Recall: 0.9917; ROC AUC: 0.5016
+[2024-05-21 16:24:48,350 INFO] Epoch:1, Snapshot:93; F1: 0.6618; Accuracy: 0.4950; Precision: 0.4985; Recall: 0.9841; ROC AUC: 0.4930
+[2024-05-21 16:24:49,100 INFO] Epoch:1, Snapshot:94; F1: 0.6545; Accuracy: 0.4900; Precision: 0.4884; Recall: 0.9918; ROC AUC: 0.5027
+[2024-05-21 16:24:49,991 INFO] Epoch:1, Snapshot:95; F1: 0.6839; Accuracy: 0.5230; Precision: 0.5244; Recall: 0.9829; ROC AUC: 0.4988
+[2024-05-21 16:24:50,899 INFO] Epoch:1, Snapshot:96; F1: 0.6631; Accuracy: 0.5000; Precision: 0.4990; Recall: 0.9880; ROC AUC: 0.5019
+[2024-05-21 16:24:51,819 INFO] Epoch:1, Snapshot:97; F1: 0.6903; Accuracy: 0.5290; Precision: 0.5298; Recall: 0.9906; ROC AUC: 0.4995
+[2024-05-21 16:24:52,585 INFO] Epoch:1, Snapshot:98; F1: 0.6756; Accuracy: 0.5150; Precision: 0.5143; Recall: 0.9844; ROC AUC: 0.5025
+[2024-05-21 16:24:53,444 INFO] Epoch:1, Snapshot:99; F1: 0.6513; Accuracy: 0.4850; Precision: 0.4868; Recall: 0.9836; ROC AUC: 0.4957
+[2024-05-21 16:24:54,538 INFO] Epoch:1, Snapshot:100; F1: 0.6764; Accuracy: 0.5130; Precision: 0.5136; Recall: 0.9903; ROC AUC: 0.4993
+[2024-05-21 16:24:55,367 INFO] Epoch:1, Snapshot:101; F1: 0.6411; Accuracy: 0.4760; Precision: 0.4742; Recall: 0.9894; ROC AUC: 0.5023
+[2024-05-21 16:24:56,211 INFO] Epoch:1, Snapshot:102; F1: 0.6581; Accuracy: 0.4940; Precision: 0.4934; Recall: 0.9878; ROC AUC: 0.5008
+[2024-05-21 16:24:57,070 INFO] Epoch:1, Snapshot:103; F1: 0.6531; Accuracy: 0.4870; Precision: 0.4879; Recall: 0.9877; ROC AUC: 0.4978
+[2024-05-21 16:24:57,962 INFO] Epoch:1, Snapshot:104; F1: 0.6486; Accuracy: 0.4820; Precision: 0.4819; Recall: 0.9917; ROC AUC: 0.4997
+[2024-05-21 16:24:58,852 INFO] Epoch:1, Snapshot:105; F1: 0.6126; Accuracy: 0.4460; Precision: 0.4438; Recall: 0.9887; ROC AUC: 0.5015
+[2024-05-21 16:24:59,790 INFO] Epoch:1, Snapshot:106; F1: 0.5972; Accuracy: 0.4280; Precision: 0.4279; Recall: 0.9883; ROC AUC: 0.4977
+[2024-05-21 16:25:00,712 INFO] Epoch:1, Snapshot:107; F1: 0.6508; Accuracy: 0.4860; Precision: 0.4834; Recall: 0.9958; ROC AUC: 0.5047
+[2024-05-21 16:25:01,697 INFO] Epoch:1, Snapshot:108; F1: 0.6738; Accuracy: 0.5100; Precision: 0.5106; Recall: 0.9902; ROC AUC: 0.4992
+[2024-05-21 16:25:02,651 INFO] Epoch:1, Snapshot:109; F1: 0.6581; Accuracy: 0.4920; Precision: 0.4929; Recall: 0.9899; ROC AUC: 0.4979
+[2024-05-21 16:25:03,479 INFO] Epoch:1, Snapshot:110; F1: 0.6653; Accuracy: 0.5030; Precision: 0.5015; Recall: 0.9880; ROC AUC: 0.5030
+[2024-05-21 16:25:04,323 INFO] Epoch:1, Snapshot:111; F1: 0.6411; Accuracy: 0.4750; Precision: 0.4733; Recall: 0.9936; ROC AUC: 0.5025
+[2024-05-21 16:25:05,338 INFO] Epoch:1, Snapshot:112; F1: 0.6680; Accuracy: 0.5020; Precision: 0.5030; Recall: 0.9940; ROC AUC: 0.4980
+[2024-05-21 16:25:06,214 INFO] Epoch:1, Snapshot:113; F1: 0.6536; Accuracy: 0.4880; Precision: 0.4879; Recall: 0.9898; ROC AUC: 0.4998
+[2024-05-21 16:25:07,339 INFO] Epoch:1, Snapshot:114; F1: 0.6830; Accuracy: 0.5200; Precision: 0.5238; Recall: 0.9810; ROC AUC: 0.4937
+[2024-05-21 16:25:08,370 INFO] Epoch:1, Snapshot:115; F1: 0.6385; Accuracy: 0.4700; Precision: 0.4723; Recall: 0.9853; ROC AUC: 0.4945
+[2024-05-21 16:25:09,370 INFO] Epoch:1, Snapshot:116; F1: 0.6581; Accuracy: 0.4930; Precision: 0.4929; Recall: 0.9899; ROC AUC: 0.4999
+[2024-05-21 16:25:10,387 INFO] Epoch:1, Snapshot:117; F1: 0.6431; Accuracy: 0.4760; Precision: 0.4758; Recall: 0.9916; ROC AUC: 0.4996
+[2024-05-21 16:25:11,325 INFO] Epoch:1, Snapshot:118; F1: 0.6843; Accuracy: 0.5230; Precision: 0.5228; Recall: 0.9904; ROC AUC: 0.5015
+[2024-05-21 16:25:12,309 INFO] Epoch:1, Snapshot:119; F1: 0.6540; Accuracy: 0.4890; Precision: 0.4894; Recall: 0.9857; ROC AUC: 0.4987
+[2024-05-21 16:25:13,309 INFO] Epoch:1, Snapshot:120; F1: 0.6486; Accuracy: 0.4810; Precision: 0.4824; Recall: 0.9897; ROC AUC: 0.4968
+[2024-05-21 16:25:14,247 INFO] Epoch:1, Snapshot:121; F1: 0.6618; Accuracy: 0.4950; Precision: 0.4960; Recall: 0.9940; ROC AUC: 0.4980
+[2024-05-21 16:25:15,169 INFO] Epoch:1, Snapshot:122; F1: 0.7015; Accuracy: 0.5430; Precision: 0.5408; Recall: 0.9981; ROC AUC: 0.5056
+[2024-05-21 16:25:16,154 INFO] Epoch:1, Snapshot:123; F1: 0.6495; Accuracy: 0.4830; Precision: 0.4848; Recall: 0.9836; ROC AUC: 0.4957
+[2024-05-21 16:25:16,154 INFO] Epoch:1, Snapshot: 14; Loss: 1.6030
+[2024-05-21 16:25:23,468 INFO] Epoch:1, Snapshot:37; F1: 0.7234; Accuracy: 0.5680; Precision: 0.5696; Recall: 0.9912; ROC AUC: 0.4991
+[2024-05-21 16:25:24,359 INFO] Epoch:1, Snapshot:38; F1: 0.7002; Accuracy: 0.5410; Precision: 0.5414; Recall: 0.9908; ROC AUC: 0.5008
+[2024-05-21 16:25:25,094 INFO] Epoch:1, Snapshot:39; F1: 0.6342; Accuracy: 0.4670; Precision: 0.4690; Recall: 0.9788; ROC AUC: 0.4941
+[2024-05-21 16:25:25,876 INFO] Epoch:1, Snapshot:40; F1: 0.6830; Accuracy: 0.5210; Precision: 0.5212; Recall: 0.9904; ROC AUC: 0.5004
+[2024-05-21 16:25:26,673 INFO] Epoch:1, Snapshot:41; F1: 0.6416; Accuracy: 0.4750; Precision: 0.4743; Recall: 0.9916; ROC AUC: 0.5005
+[2024-05-21 16:25:27,517 INFO] Epoch:1, Snapshot:42; F1: 0.6481; Accuracy: 0.4820; Precision: 0.4823; Recall: 0.9876; ROC AUC: 0.4986
+[2024-05-21 16:25:28,298 INFO] Epoch:1, Snapshot:43; F1: 0.6303; Accuracy: 0.4650; Precision: 0.4620; Recall: 0.9913; ROC AUC: 0.5040
+[2024-05-21 16:25:29,126 INFO] Epoch:1, Snapshot:44; F1: 0.7025; Accuracy: 0.5460; Precision: 0.5442; Recall: 0.9908; ROC AUC: 0.5063
+[2024-05-21 16:25:29,986 INFO] Epoch:1, Snapshot:45; F1: 0.6946; Accuracy: 0.5330; Precision: 0.5358; Recall: 0.9870; ROC AUC: 0.4957
+[2024-05-21 16:25:30,908 INFO] Epoch:1, Snapshot:46; F1: 0.6676; Accuracy: 0.5040; Precision: 0.5035; Recall: 0.9901; ROC AUC: 0.5011
+[2024-05-21 16:25:31,659 INFO] Epoch:1, Snapshot:47; F1: 0.6351; Accuracy: 0.4680; Precision: 0.4691; Recall: 0.9830; ROC AUC: 0.4962
+[2024-05-21 16:25:32,628 INFO] Epoch:1, Snapshot:48; F1: 0.6402; Accuracy: 0.4740; Precision: 0.4727; Recall: 0.9915; ROC AUC: 0.5014
+[2024-05-21 16:25:33,503 INFO] Epoch:1, Snapshot:49; F1: 0.6769; Accuracy: 0.5160; Precision: 0.5132; Recall: 0.9941; ROC AUC: 0.5062
+[2024-05-21 16:25:34,315 INFO] Epoch:1, Snapshot:50; F1: 0.6295; Accuracy: 0.4620; Precision: 0.4635; Recall: 0.9807; ROC AUC: 0.4950
+[2024-05-21 16:25:35,175 INFO] Epoch:1, Snapshot:51; F1: 0.6550; Accuracy: 0.4890; Precision: 0.4889; Recall: 0.9918; ROC AUC: 0.4998
+[2024-05-21 16:25:36,019 INFO] Epoch:1, Snapshot:52; F1: 0.6813; Accuracy: 0.5200; Precision: 0.5182; Recall: 0.9942; ROC AUC: 0.5043
+[2024-05-21 16:25:36,910 INFO] Epoch:1, Snapshot:53; F1: 0.6799; Accuracy: 0.5180; Precision: 0.5177; Recall: 0.9903; ROC AUC: 0.5014
+[2024-05-21 16:25:37,738 INFO] Epoch:1, Snapshot:54; F1: 0.6340; Accuracy: 0.4690; Precision: 0.4699; Recall: 0.9746; ROC AUC: 0.4958
+[2024-05-21 16:25:38,614 INFO] Epoch:1, Snapshot:55; F1: 0.6951; Accuracy: 0.5360; Precision: 0.5349; Recall: 0.9925; ROC AUC: 0.5037
+[2024-05-21 16:25:39,442 INFO] Epoch:1, Snapshot:56; F1: 0.6738; Accuracy: 0.5090; Precision: 0.5116; Recall: 0.9864; ROC AUC: 0.4952
+[2024-05-21 16:25:40,223 INFO] Epoch:1, Snapshot:57; F1: 0.6747; Accuracy: 0.5110; Precision: 0.5116; Recall: 0.9902; ROC AUC: 0.4992
+[2024-05-21 16:25:41,036 INFO] Epoch:1, Snapshot:58; F1: 0.6649; Accuracy: 0.5010; Precision: 0.4990; Recall: 0.9960; ROC AUC: 0.5040
+[2024-05-21 16:25:41,989 INFO] Epoch:1, Snapshot:59; F1: 0.6950; Accuracy: 0.5340; Precision: 0.5353; Recall: 0.9907; ROC AUC: 0.4986
+[2024-05-21 16:25:42,833 INFO] Epoch:1, Snapshot:60; F1: 0.6724; Accuracy: 0.5090; Precision: 0.5086; Recall: 0.9921; ROC AUC: 0.5011
+[2024-05-21 16:25:43,833 INFO] Epoch:1, Snapshot:61; F1: 0.6503; Accuracy: 0.4860; Precision: 0.4838; Recall: 0.9917; ROC AUC: 0.5036
+[2024-05-21 16:25:44,834 INFO] Epoch:1, Snapshot:62; F1: 0.6467; Accuracy: 0.4800; Precision: 0.4803; Recall: 0.9896; ROC AUC: 0.4987
+[2024-05-21 16:25:45,865 INFO] Epoch:1, Snapshot:63; F1: 0.6680; Accuracy: 0.5050; Precision: 0.5046; Recall: 0.9881; ROC AUC: 0.5011
+[2024-05-21 16:25:46,803 INFO] Epoch:1, Snapshot:64; F1: 0.6375; Accuracy: 0.4700; Precision: 0.4698; Recall: 0.9915; ROC AUC: 0.4995
+[2024-05-21 16:25:47,710 INFO] Epoch:1, Snapshot:65; F1: 0.6374; Accuracy: 0.4710; Precision: 0.4697; Recall: 0.9915; ROC AUC: 0.5014
+[2024-05-21 16:25:48,725 INFO] Epoch:1, Snapshot:66; F1: 0.7182; Accuracy: 0.5630; Precision: 0.5621; Recall: 0.9946; ROC AUC: 0.5041
+[2024-05-21 16:25:49,538 INFO] Epoch:1, Snapshot:67; F1: 0.6649; Accuracy: 0.4990; Precision: 0.4995; Recall: 0.9940; ROC AUC: 0.4990
+[2024-05-21 16:25:50,288 INFO] Epoch:1, Snapshot:68; F1: 0.6467; Accuracy: 0.4810; Precision: 0.4813; Recall: 0.9855; ROC AUC: 0.4985
+[2024-05-21 16:25:51,133 INFO] Epoch:1, Snapshot:69; F1: 0.6554; Accuracy: 0.4890; Precision: 0.4894; Recall: 0.9918; ROC AUC: 0.4989
+[2024-05-21 16:25:52,070 INFO] Epoch:1, Snapshot:70; F1: 0.6821; Accuracy: 0.5200; Precision: 0.5228; Recall: 0.9810; ROC AUC: 0.4957
+[2024-05-21 16:25:52,930 INFO] Epoch:1, Snapshot:71; F1: 0.6568; Accuracy: 0.4900; Precision: 0.4909; Recall: 0.9919; ROC AUC: 0.4979
+[2024-05-21 16:25:53,821 INFO] Epoch:1, Snapshot:72; F1: 0.6392; Accuracy: 0.4740; Precision: 0.4717; Recall: 0.9915; ROC AUC: 0.5033
+[2024-05-21 16:25:54,571 INFO] Epoch:1, Snapshot:73; F1: 0.5992; Accuracy: 0.4300; Precision: 0.4290; Recall: 0.9930; ROC AUC: 0.5000
+[2024-05-21 16:25:55,399 INFO] Epoch:1, Snapshot:74; F1: 0.6128; Accuracy: 0.4440; Precision: 0.4435; Recall: 0.9910; ROC AUC: 0.4991
+[2024-05-21 16:25:56,212 INFO] Epoch:1, Snapshot:75; F1: 0.6252; Accuracy: 0.4580; Precision: 0.4589; Recall: 0.9805; ROC AUC: 0.4958
+[2024-05-21 16:25:56,993 INFO] Epoch:1, Snapshot:76; F1: 0.6540; Accuracy: 0.4890; Precision: 0.4864; Recall: 0.9979; ROC AUC: 0.5048
+[2024-05-21 16:25:57,884 INFO] Epoch:1, Snapshot:77; F1: 0.6671; Accuracy: 0.5020; Precision: 0.5030; Recall: 0.9901; ROC AUC: 0.4981
+[2024-05-21 16:25:58,791 INFO] Epoch:1, Snapshot:78; F1: 0.7033; Accuracy: 0.5470; Precision: 0.5463; Recall: 0.9871; ROC AUC: 0.5045
+[2024-05-21 16:25:59,651 INFO] Epoch:1, Snapshot:79; F1: 0.6864; Accuracy: 0.5230; Precision: 0.5236; Recall: 0.9962; ROC AUC: 0.4991
+[2024-05-21 16:26:00,479 INFO] Epoch:1, Snapshot:80; F1: 0.6640; Accuracy: 0.4980; Precision: 0.4990; Recall: 0.9920; ROC AUC: 0.4980
+[2024-05-21 16:26:01,432 INFO] Epoch:1, Snapshot:81; F1: 0.6804; Accuracy: 0.5180; Precision: 0.5182; Recall: 0.9903; ROC AUC: 0.5004
+[2024-05-21 16:26:02,261 INFO] Epoch:1, Snapshot:82; F1: 0.6352; Accuracy: 0.4670; Precision: 0.4668; Recall: 0.9936; ROC AUC: 0.4996
+[2024-05-21 16:26:03,246 INFO] Epoch:1, Snapshot:83; F1: 0.6852; Accuracy: 0.5250; Precision: 0.5254; Recall: 0.9848; ROC AUC: 0.5008
+[2024-05-21 16:26:04,152 INFO] Epoch:1, Snapshot:84; F1: 0.6839; Accuracy: 0.5230; Precision: 0.5207; Recall: 0.9961; ROC AUC: 0.5053
+[2024-05-21 16:26:05,012 INFO] Epoch:1, Snapshot:85; F1: 0.6821; Accuracy: 0.5180; Precision: 0.5222; Recall: 0.9829; ROC AUC: 0.4925
+[2024-05-21 16:26:05,856 INFO] Epoch:1, Snapshot:86; F1: 0.6720; Accuracy: 0.5090; Precision: 0.5081; Recall: 0.9921; ROC AUC: 0.5021
+[2024-05-21 16:26:06,778 INFO] Epoch:1, Snapshot:87; F1: 0.6508; Accuracy: 0.4850; Precision: 0.4844; Recall: 0.9917; ROC AUC: 0.5007
+[2024-05-21 16:26:07,653 INFO] Epoch:1, Snapshot:88; F1: 0.6577; Accuracy: 0.4910; Precision: 0.4915; Recall: 0.9939; ROC AUC: 0.4989
+[2024-05-21 16:26:08,732 INFO] Epoch:1, Snapshot:89; F1: 0.7033; Accuracy: 0.5460; Precision: 0.5451; Recall: 0.9908; ROC AUC: 0.5041
+[2024-05-21 16:26:09,513 INFO] Epoch:1, Snapshot:90; F1: 0.6462; Accuracy: 0.4810; Precision: 0.4798; Recall: 0.9896; ROC AUC: 0.5015
+[2024-05-21 16:26:10,388 INFO] Epoch:1, Snapshot:91; F1: 0.6988; Accuracy: 0.5380; Precision: 0.5398; Recall: 0.9908; ROC AUC: 0.4976
+[2024-05-21 16:26:11,248 INFO] Epoch:1, Snapshot:92; F1: 0.6458; Accuracy: 0.4790; Precision: 0.4803; Recall: 0.9855; ROC AUC: 0.4966
+[2024-05-21 16:26:12,076 INFO] Epoch:1, Snapshot:93; F1: 0.6653; Accuracy: 0.5010; Precision: 0.5015; Recall: 0.9880; ROC AUC: 0.4990
+[2024-05-21 16:26:12,858 INFO] Epoch:1, Snapshot:94; F1: 0.6531; Accuracy: 0.4890; Precision: 0.4878; Recall: 0.9877; ROC AUC: 0.5016
+[2024-05-21 16:26:13,733 INFO] Epoch:1, Snapshot:95; F1: 0.6834; Accuracy: 0.5220; Precision: 0.5239; Recall: 0.9829; ROC AUC: 0.4977
+[2024-05-21 16:26:14,655 INFO] Epoch:1, Snapshot:96; F1: 0.6609; Accuracy: 0.4940; Precision: 0.4960; Recall: 0.9900; ROC AUC: 0.4960
+[2024-05-21 16:26:15,608 INFO] Epoch:1, Snapshot:97; F1: 0.6890; Accuracy: 0.5270; Precision: 0.5288; Recall: 0.9887; ROC AUC: 0.4975
+[2024-05-21 16:26:16,358 INFO] Epoch:1, Snapshot:98; F1: 0.6769; Accuracy: 0.5150; Precision: 0.5142; Recall: 0.9903; ROC AUC: 0.5023
+[2024-05-21 16:26:17,233 INFO] Epoch:1, Snapshot:99; F1: 0.6518; Accuracy: 0.4850; Precision: 0.4869; Recall: 0.9857; ROC AUC: 0.4958
+[2024-05-21 16:26:18,348 INFO] Epoch:1, Snapshot:100; F1: 0.6760; Accuracy: 0.5130; Precision: 0.5137; Recall: 0.9883; ROC AUC: 0.4993
+[2024-05-21 16:26:19,202 INFO] Epoch:1, Snapshot:101; F1: 0.6388; Accuracy: 0.4730; Precision: 0.4726; Recall: 0.9852; ROC AUC: 0.4992
+[2024-05-21 16:26:20,078 INFO] Epoch:1, Snapshot:102; F1: 0.6581; Accuracy: 0.4930; Precision: 0.4929; Recall: 0.9899; ROC AUC: 0.4999
+[2024-05-21 16:26:20,938 INFO] Epoch:1, Snapshot:103; F1: 0.6545; Accuracy: 0.4890; Precision: 0.4889; Recall: 0.9898; ROC AUC: 0.4998
+[2024-05-21 16:26:21,751 INFO] Epoch:1, Snapshot:104; F1: 0.6527; Accuracy: 0.4870; Precision: 0.4844; Recall: 1.0000; ROC AUC: 0.5048
+[2024-05-21 16:26:22,673 INFO] Epoch:1, Snapshot:105; F1: 0.6112; Accuracy: 0.4440; Precision: 0.4428; Recall: 0.9865; ROC AUC: 0.4995
+[2024-05-21 16:26:23,611 INFO] Epoch:1, Snapshot:106; F1: 0.5972; Accuracy: 0.4280; Precision: 0.4279; Recall: 0.9883; ROC AUC: 0.4977
+[2024-05-21 16:26:24,502 INFO] Epoch:1, Snapshot:107; F1: 0.6463; Accuracy: 0.4800; Precision: 0.4803; Recall: 0.9875; ROC AUC: 0.4986
+[2024-05-21 16:26:25,486 INFO] Epoch:1, Snapshot:108; F1: 0.6733; Accuracy: 0.5080; Precision: 0.5095; Recall: 0.9922; ROC AUC: 0.4971
+[2024-05-21 16:26:26,424 INFO] Epoch:1, Snapshot:109; F1: 0.6599; Accuracy: 0.4960; Precision: 0.4949; Recall: 0.9899; ROC AUC: 0.5019
+[2024-05-21 16:26:27,237 INFO] Epoch:1, Snapshot:110; F1: 0.6608; Accuracy: 0.4960; Precision: 0.4980; Recall: 0.9820; ROC AUC: 0.4960
+[2024-05-21 16:26:28,081 INFO] Epoch:1, Snapshot:111; F1: 0.6370; Accuracy: 0.4690; Precision: 0.4702; Recall: 0.9873; ROC AUC: 0.4965
+[2024-05-21 16:26:29,112 INFO] Epoch:1, Snapshot:112; F1: 0.6667; Accuracy: 0.5050; Precision: 0.5046; Recall: 0.9821; ROC AUC: 0.5012
+[2024-05-21 16:26:29,988 INFO] Epoch:1, Snapshot:113; F1: 0.6513; Accuracy: 0.4850; Precision: 0.4863; Recall: 0.9857; ROC AUC: 0.4967
+[2024-05-21 16:26:31,066 INFO] Epoch:1, Snapshot:114; F1: 0.6868; Accuracy: 0.5240; Precision: 0.5257; Recall: 0.9905; ROC AUC: 0.4974
+[2024-05-21 16:26:32,129 INFO] Epoch:1, Snapshot:115; F1: 0.6435; Accuracy: 0.4760; Precision: 0.4754; Recall: 0.9958; ROC AUC: 0.5008
+[2024-05-21 16:26:33,130 INFO] Epoch:1, Snapshot:116; F1: 0.6626; Accuracy: 0.4990; Precision: 0.4960; Recall: 0.9980; ROC AUC: 0.5059
+[2024-05-21 16:26:34,161 INFO] Epoch:1, Snapshot:117; F1: 0.6430; Accuracy: 0.4770; Precision: 0.4762; Recall: 0.9895; ROC AUC: 0.5005
+[2024-05-21 16:26:35,146 INFO] Epoch:1, Snapshot:118; F1: 0.6843; Accuracy: 0.5220; Precision: 0.5222; Recall: 0.9923; ROC AUC: 0.5004
+[2024-05-21 16:26:36,115 INFO] Epoch:1, Snapshot:119; F1: 0.6572; Accuracy: 0.4910; Precision: 0.4905; Recall: 0.9959; ROC AUC: 0.5009
+[2024-05-21 16:26:37,115 INFO] Epoch:1, Snapshot:120; F1: 0.6549; Accuracy: 0.4910; Precision: 0.4874; Recall: 0.9979; ROC AUC: 0.5067
+[2024-05-21 16:26:38,068 INFO] Epoch:1, Snapshot:121; F1: 0.6613; Accuracy: 0.4970; Precision: 0.4970; Recall: 0.9879; ROC AUC: 0.4999
+[2024-05-21 16:26:38,959 INFO] Epoch:1, Snapshot:122; F1: 0.6938; Accuracy: 0.5330; Precision: 0.5360; Recall: 0.9833; ROC AUC: 0.4960
+[2024-05-21 16:26:39,975 INFO] Epoch:1, Snapshot:123; F1: 0.6486; Accuracy: 0.4820; Precision: 0.4843; Recall: 0.9815; ROC AUC: 0.4947
+[2024-05-21 16:26:39,975 INFO] Epoch:1, Snapshot: 15; Loss: 0.7991
+[2024-05-21 16:26:46,742 INFO] Epoch:1, Snapshot:37; F1: 0.7230; Accuracy: 0.5670; Precision: 0.5690; Recall: 0.9912; ROC AUC: 0.4979
+[2024-05-21 16:26:47,617 INFO] Epoch:1, Snapshot:38; F1: 0.6946; Accuracy: 0.5330; Precision: 0.5374; Recall: 0.9815; ROC AUC: 0.4929
+[2024-05-21 16:26:48,342 INFO] Epoch:1, Snapshot:39; F1: 0.6374; Accuracy: 0.4710; Precision: 0.4711; Recall: 0.9852; ROC AUC: 0.4983
+[2024-05-21 16:26:49,180 INFO] Epoch:1, Snapshot:40; F1: 0.6821; Accuracy: 0.5210; Precision: 0.5213; Recall: 0.9866; ROC AUC: 0.5006
+[2024-05-21 16:26:49,930 INFO] Epoch:1, Snapshot:41; F1: 0.6439; Accuracy: 0.4790; Precision: 0.4762; Recall: 0.9937; ROC AUC: 0.5044
+[2024-05-21 16:26:50,759 INFO] Epoch:1, Snapshot:42; F1: 0.6526; Accuracy: 0.4890; Precision: 0.4858; Recall: 0.9938; ROC AUC: 0.5056
+[2024-05-21 16:26:51,571 INFO] Epoch:1, Snapshot:43; F1: 0.6335; Accuracy: 0.4690; Precision: 0.4641; Recall: 0.9978; ROC AUC: 0.5082
+[2024-05-21 16:26:52,400 INFO] Epoch:1, Snapshot:44; F1: 0.7023; Accuracy: 0.5430; Precision: 0.5423; Recall: 0.9963; ROC AUC: 0.5025
+[2024-05-21 16:26:53,290 INFO] Epoch:1, Snapshot:45; F1: 0.6941; Accuracy: 0.5320; Precision: 0.5353; Recall: 0.9870; ROC AUC: 0.4946
+[2024-05-21 16:26:54,181 INFO] Epoch:1, Snapshot:46; F1: 0.6698; Accuracy: 0.5070; Precision: 0.5051; Recall: 0.9940; ROC AUC: 0.5041
+[2024-05-21 16:26:54,931 INFO] Epoch:1, Snapshot:47; F1: 0.6393; Accuracy: 0.4730; Precision: 0.4717; Recall: 0.9915; ROC AUC: 0.5014
+[2024-05-21 16:26:55,854 INFO] Epoch:1, Snapshot:48; F1: 0.6416; Accuracy: 0.4750; Precision: 0.4733; Recall: 0.9958; ROC AUC: 0.5026
+[2024-05-21 16:26:56,744 INFO] Epoch:1, Snapshot:49; F1: 0.6738; Accuracy: 0.5110; Precision: 0.5106; Recall: 0.9902; ROC AUC: 0.5012
+[2024-05-21 16:26:57,604 INFO] Epoch:1, Snapshot:50; F1: 0.6319; Accuracy: 0.4640; Precision: 0.4646; Recall: 0.9871; ROC AUC: 0.4973
+[2024-05-21 16:26:58,432 INFO] Epoch:1, Snapshot:51; F1: 0.6554; Accuracy: 0.4900; Precision: 0.4894; Recall: 0.9918; ROC AUC: 0.5008
+[2024-05-21 16:26:59,292 INFO] Epoch:1, Snapshot:52; F1: 0.6817; Accuracy: 0.5210; Precision: 0.5187; Recall: 0.9942; ROC AUC: 0.5054
+[2024-05-21 16:27:00,167 INFO] Epoch:1, Snapshot:53; F1: 0.6751; Accuracy: 0.5110; Precision: 0.5142; Recall: 0.9826; ROC AUC: 0.4944
+[2024-05-21 16:27:01,027 INFO] Epoch:1, Snapshot:54; F1: 0.6370; Accuracy: 0.4700; Precision: 0.4706; Recall: 0.9852; ROC AUC: 0.4973
+[2024-05-21 16:27:01,855 INFO] Epoch:1, Snapshot:55; F1: 0.6964; Accuracy: 0.5370; Precision: 0.5353; Recall: 0.9962; ROC AUC: 0.5045
+[2024-05-21 16:27:02,699 INFO] Epoch:1, Snapshot:56; F1: 0.6795; Accuracy: 0.5160; Precision: 0.5151; Recall: 0.9981; ROC AUC: 0.5021
+[2024-05-21 16:27:03,497 INFO] Epoch:1, Snapshot:57; F1: 0.6724; Accuracy: 0.5090; Precision: 0.5106; Recall: 0.9844; ROC AUC: 0.4973
+[2024-05-21 16:27:04,310 INFO] Epoch:1, Snapshot:58; F1: 0.6608; Accuracy: 0.4950; Precision: 0.4960; Recall: 0.9899; ROC AUC: 0.4980
+[2024-05-21 16:27:05,247 INFO] Epoch:1, Snapshot:59; F1: 0.6990; Accuracy: 0.5400; Precision: 0.5383; Recall: 0.9963; ROC AUC: 0.5046
+[2024-05-21 16:27:06,107 INFO] Epoch:1, Snapshot:60; F1: 0.6693; Accuracy: 0.5050; Precision: 0.5066; Recall: 0.9862; ROC AUC: 0.4972
+[2024-05-21 16:27:07,123 INFO] Epoch:1, Snapshot:61; F1: 0.6481; Accuracy: 0.4810; Precision: 0.4814; Recall: 0.9917; ROC AUC: 0.4987
+[2024-05-21 16:27:08,139 INFO] Epoch:1, Snapshot:62; F1: 0.6411; Accuracy: 0.4760; Precision: 0.4780; Recall: 0.9730; ROC AUC: 0.4942
+[2024-05-21 16:27:09,186 INFO] Epoch:1, Snapshot:63; F1: 0.6653; Accuracy: 0.5030; Precision: 0.5036; Recall: 0.9802; ROC AUC: 0.4992
+[2024-05-21 16:27:10,171 INFO] Epoch:1, Snapshot:64; F1: 0.6380; Accuracy: 0.4700; Precision: 0.4698; Recall: 0.9936; ROC AUC: 0.4996
+[2024-05-21 16:27:11,108 INFO] Epoch:1, Snapshot:65; F1: 0.6370; Accuracy: 0.4690; Precision: 0.4688; Recall: 0.9936; ROC AUC: 0.4996
+[2024-05-21 16:27:12,077 INFO] Epoch:1, Snapshot:66; F1: 0.7149; Accuracy: 0.5590; Precision: 0.5603; Recall: 0.9875; ROC AUC: 0.5006
+[2024-05-21 16:27:12,906 INFO] Epoch:1, Snapshot:67; F1: 0.6671; Accuracy: 0.5060; Precision: 0.5030; Recall: 0.9900; ROC AUC: 0.5060
+[2024-05-21 16:27:13,718 INFO] Epoch:1, Snapshot:68; F1: 0.6499; Accuracy: 0.4840; Precision: 0.4829; Recall: 0.9938; ROC AUC: 0.5017
+[2024-05-21 16:27:14,547 INFO] Epoch:1, Snapshot:69; F1: 0.6558; Accuracy: 0.4910; Precision: 0.4904; Recall: 0.9898; ROC AUC: 0.5008
+[2024-05-21 16:27:15,469 INFO] Epoch:1, Snapshot:70; F1: 0.6886; Accuracy: 0.5270; Precision: 0.5262; Recall: 0.9962; ROC AUC: 0.5023
+[2024-05-21 16:27:16,298 INFO] Epoch:1, Snapshot:71; F1: 0.6559; Accuracy: 0.4900; Precision: 0.4909; Recall: 0.9878; ROC AUC: 0.4978
+[2024-05-21 16:27:17,142 INFO] Epoch:1, Snapshot:72; F1: 0.6329; Accuracy: 0.4640; Precision: 0.4667; Recall: 0.9830; ROC AUC: 0.4934
+[2024-05-21 16:27:17,845 INFO] Epoch:1, Snapshot:73; F1: 0.6004; Accuracy: 0.4330; Precision: 0.4303; Recall: 0.9930; ROC AUC: 0.5026
+[2024-05-21 16:27:18,627 INFO] Epoch:1, Snapshot:74; F1: 0.6155; Accuracy: 0.4490; Precision: 0.4459; Recall: 0.9932; ROC AUC: 0.5038
+[2024-05-21 16:27:19,502 INFO] Epoch:1, Snapshot:75; F1: 0.6300; Accuracy: 0.4620; Precision: 0.4612; Recall: 0.9935; ROC AUC: 0.5005
+[2024-05-21 16:27:20,268 INFO] Epoch:1, Snapshot:76; F1: 0.6490; Accuracy: 0.4830; Precision: 0.4833; Recall: 0.9876; ROC AUC: 0.4986
+[2024-05-21 16:27:21,205 INFO] Epoch:1, Snapshot:77; F1: 0.6685; Accuracy: 0.5050; Precision: 0.5046; Recall: 0.9901; ROC AUC: 0.5011
+[2024-05-21 16:27:22,112 INFO] Epoch:1, Snapshot:78; F1: 0.7048; Accuracy: 0.5460; Precision: 0.5453; Recall: 0.9963; ROC AUC: 0.5025
+[2024-05-21 16:27:23,019 INFO] Epoch:1, Snapshot:79; F1: 0.6817; Accuracy: 0.5190; Precision: 0.5218; Recall: 0.9828; ROC AUC: 0.4956
+[2024-05-21 16:27:23,816 INFO] Epoch:1, Snapshot:80; F1: 0.6676; Accuracy: 0.5040; Precision: 0.5020; Recall: 0.9960; ROC AUC: 0.5040
+[2024-05-21 16:27:24,753 INFO] Epoch:1, Snapshot:81; F1: 0.6795; Accuracy: 0.5170; Precision: 0.5177; Recall: 0.9884; ROC AUC: 0.4994
+[2024-05-21 16:27:25,550 INFO] Epoch:1, Snapshot:82; F1: 0.6350; Accuracy: 0.4700; Precision: 0.4680; Recall: 0.9872; ROC AUC: 0.5020
+[2024-05-21 16:27:26,535 INFO] Epoch:1, Snapshot:83; F1: 0.6812; Accuracy: 0.5190; Precision: 0.5224; Recall: 0.9790; ROC AUC: 0.4948
+[2024-05-21 16:27:27,410 INFO] Epoch:1, Snapshot:84; F1: 0.6803; Accuracy: 0.5170; Precision: 0.5176; Recall: 0.9923; ROC AUC: 0.4993
+[2024-05-21 16:27:28,254 INFO] Epoch:1, Snapshot:85; F1: 0.6839; Accuracy: 0.5230; Precision: 0.5249; Recall: 0.9810; ROC AUC: 0.4979
+[2024-05-21 16:27:29,161 INFO] Epoch:1, Snapshot:86; F1: 0.6729; Accuracy: 0.5090; Precision: 0.5080; Recall: 0.9961; ROC AUC: 0.5021
+[2024-05-21 16:27:30,052 INFO] Epoch:1, Snapshot:87; F1: 0.6481; Accuracy: 0.4810; Precision: 0.4823; Recall: 0.9876; ROC AUC: 0.4967
+[2024-05-21 16:27:30,927 INFO] Epoch:1, Snapshot:88; F1: 0.6550; Accuracy: 0.4880; Precision: 0.4899; Recall: 0.9878; ROC AUC: 0.4959
+[2024-05-21 16:27:31,963 INFO] Epoch:1, Snapshot:89; F1: 0.6984; Accuracy: 0.5370; Precision: 0.5403; Recall: 0.9871; ROC AUC: 0.4946
+[2024-05-21 16:27:32,756 INFO] Epoch:1, Snapshot:90; F1: 0.6453; Accuracy: 0.4800; Precision: 0.4792; Recall: 0.9875; ROC AUC: 0.5005
+[2024-05-21 16:27:33,663 INFO] Epoch:1, Snapshot:91; F1: 0.7015; Accuracy: 0.5430; Precision: 0.5424; Recall: 0.9926; ROC AUC: 0.5028
+[2024-05-21 16:27:34,522 INFO] Epoch:1, Snapshot:92; F1: 0.6513; Accuracy: 0.4860; Precision: 0.4839; Recall: 0.9959; ROC AUC: 0.5037
+[2024-05-21 16:27:35,335 INFO] Epoch:1, Snapshot:93; F1: 0.6676; Accuracy: 0.5040; Precision: 0.5030; Recall: 0.9920; ROC AUC: 0.5020
+[2024-05-21 16:27:36,101 INFO] Epoch:1, Snapshot:94; F1: 0.6508; Accuracy: 0.4850; Precision: 0.4858; Recall: 0.9856; ROC AUC: 0.4977
+[2024-05-21 16:27:36,976 INFO] Epoch:1, Snapshot:95; F1: 0.6856; Accuracy: 0.5230; Precision: 0.5242; Recall: 0.9905; ROC AUC: 0.4984
+[2024-05-21 16:27:37,914 INFO] Epoch:1, Snapshot:96; F1: 0.6599; Accuracy: 0.4950; Precision: 0.4965; Recall: 0.9839; ROC AUC: 0.4969
+[2024-05-21 16:27:38,836 INFO] Epoch:1, Snapshot:97; F1: 0.6896; Accuracy: 0.5310; Precision: 0.5311; Recall: 0.9830; ROC AUC: 0.5021
+[2024-05-21 16:27:39,649 INFO] Epoch:1, Snapshot:98; F1: 0.6768; Accuracy: 0.5130; Precision: 0.5131; Recall: 0.9942; ROC AUC: 0.5002
+[2024-05-21 16:27:40,508 INFO] Epoch:1, Snapshot:99; F1: 0.6554; Accuracy: 0.4910; Precision: 0.4899; Recall: 0.9898; ROC AUC: 0.5017
+[2024-05-21 16:27:41,649 INFO] Epoch:1, Snapshot:100; F1: 0.6795; Accuracy: 0.5190; Precision: 0.5167; Recall: 0.9922; ROC AUC: 0.5054
+[2024-05-21 16:27:42,496 INFO] Epoch:1, Snapshot:101; F1: 0.6375; Accuracy: 0.4700; Precision: 0.4712; Recall: 0.9852; ROC AUC: 0.4964
+[2024-05-21 16:27:43,353 INFO] Epoch:1, Snapshot:102; F1: 0.6550; Accuracy: 0.4870; Precision: 0.4899; Recall: 0.9878; ROC AUC: 0.4939
+[2024-05-21 16:27:44,213 INFO] Epoch:1, Snapshot:103; F1: 0.6554; Accuracy: 0.4910; Precision: 0.4899; Recall: 0.9898; ROC AUC: 0.5017
+[2024-05-21 16:27:45,025 INFO] Epoch:1, Snapshot:104; F1: 0.6467; Accuracy: 0.4820; Precision: 0.4817; Recall: 0.9834; ROC AUC: 0.4994
+[2024-05-21 16:27:45,901 INFO] Epoch:1, Snapshot:105; F1: 0.6109; Accuracy: 0.4420; Precision: 0.4420; Recall: 0.9887; ROC AUC: 0.4979
+[2024-05-21 16:27:46,916 INFO] Epoch:1, Snapshot:106; F1: 0.6008; Accuracy: 0.4340; Precision: 0.4307; Recall: 0.9930; ROC AUC: 0.5035
+[2024-05-21 16:27:47,839 INFO] Epoch:1, Snapshot:107; F1: 0.6495; Accuracy: 0.4830; Precision: 0.4819; Recall: 0.9958; ROC AUC: 0.5018
+[2024-05-21 16:27:48,823 INFO] Epoch:1, Snapshot:108; F1: 0.6760; Accuracy: 0.5130; Precision: 0.5121; Recall: 0.9941; ROC AUC: 0.5022
+[2024-05-21 16:27:49,714 INFO] Epoch:1, Snapshot:109; F1: 0.6604; Accuracy: 0.4970; Precision: 0.4954; Recall: 0.9899; ROC AUC: 0.5028
+[2024-05-21 16:27:50,574 INFO] Epoch:1, Snapshot:110; F1: 0.6635; Accuracy: 0.4990; Precision: 0.4995; Recall: 0.9880; ROC AUC: 0.4990
+[2024-05-21 16:27:51,386 INFO] Epoch:1, Snapshot:111; F1: 0.6398; Accuracy: 0.4730; Precision: 0.4723; Recall: 0.9915; ROC AUC: 0.5005
+[2024-05-21 16:27:52,418 INFO] Epoch:1, Snapshot:112; F1: 0.6702; Accuracy: 0.5090; Precision: 0.5066; Recall: 0.9901; ROC AUC: 0.5051
+[2024-05-21 16:27:53,293 INFO] Epoch:1, Snapshot:113; F1: 0.6559; Accuracy: 0.4900; Precision: 0.4889; Recall: 0.9959; ROC AUC: 0.5019
+[2024-05-21 16:27:54,356 INFO] Epoch:1, Snapshot:114; F1: 0.6870; Accuracy: 0.5270; Precision: 0.5274; Recall: 0.9848; ROC AUC: 0.5009
+[2024-05-21 16:27:55,403 INFO] Epoch:1, Snapshot:115; F1: 0.6421; Accuracy: 0.4750; Precision: 0.4748; Recall: 0.9916; ROC AUC: 0.4996
+[2024-05-21 16:27:56,404 INFO] Epoch:1, Snapshot:116; F1: 0.6586; Accuracy: 0.4930; Precision: 0.4929; Recall: 0.9919; ROC AUC: 0.4999
+[2024-05-21 16:27:57,435 INFO] Epoch:1, Snapshot:117; F1: 0.6449; Accuracy: 0.4790; Precision: 0.4773; Recall: 0.9937; ROC AUC: 0.5026
+[2024-05-21 16:27:58,404 INFO] Epoch:1, Snapshot:118; F1: 0.6830; Accuracy: 0.5200; Precision: 0.5212; Recall: 0.9904; ROC AUC: 0.4983
+[2024-05-21 16:27:59,389 INFO] Epoch:1, Snapshot:119; F1: 0.6509; Accuracy: 0.4840; Precision: 0.4868; Recall: 0.9816; ROC AUC: 0.4938
+[2024-05-21 16:28:00,375 INFO] Epoch:1, Snapshot:120; F1: 0.6508; Accuracy: 0.4850; Precision: 0.4844; Recall: 0.9917; ROC AUC: 0.5007
+[2024-05-21 16:28:01,311 INFO] Epoch:1, Snapshot:121; F1: 0.6595; Accuracy: 0.4930; Precision: 0.4950; Recall: 0.9879; ROC AUC: 0.4960
+[2024-05-21 16:28:02,202 INFO] Epoch:1, Snapshot:122; F1: 0.6959; Accuracy: 0.5350; Precision: 0.5368; Recall: 0.9888; ROC AUC: 0.4977
+[2024-05-21 16:28:03,233 INFO] Epoch:1, Snapshot:123; F1: 0.6554; Accuracy: 0.4890; Precision: 0.4880; Recall: 0.9979; ROC AUC: 0.5019
+[2024-05-21 16:28:03,233 INFO] Epoch:1, Snapshot: 16; Loss: 0.7994
+[2024-05-21 16:28:10,594 INFO] Epoch:1, Snapshot:37; F1: 0.7255; Accuracy: 0.5710; Precision: 0.5710; Recall: 0.9947; ROC AUC: 0.5020
+[2024-05-21 16:28:11,454 INFO] Epoch:1, Snapshot:38; F1: 0.6976; Accuracy: 0.5380; Precision: 0.5400; Recall: 0.9852; ROC AUC: 0.4981
+[2024-05-21 16:28:12,173 INFO] Epoch:1, Snapshot:39; F1: 0.6411; Accuracy: 0.4750; Precision: 0.4733; Recall: 0.9936; ROC AUC: 0.5025
+[2024-05-21 16:28:12,955 INFO] Epoch:1, Snapshot:40; F1: 0.6816; Accuracy: 0.5180; Precision: 0.5196; Recall: 0.9904; ROC AUC: 0.4973
+[2024-05-21 16:28:13,721 INFO] Epoch:1, Snapshot:41; F1: 0.6416; Accuracy: 0.4760; Precision: 0.4747; Recall: 0.9895; ROC AUC: 0.5014
+[2024-05-21 16:28:14,565 INFO] Epoch:1, Snapshot:42; F1: 0.6495; Accuracy: 0.4830; Precision: 0.4829; Recall: 0.9917; ROC AUC: 0.4997
+[2024-05-21 16:28:15,346 INFO] Epoch:1, Snapshot:43; F1: 0.6276; Accuracy: 0.4600; Precision: 0.4596; Recall: 0.9891; ROC AUC: 0.4992
+[2024-05-21 16:28:16,159 INFO] Epoch:1, Snapshot:44; F1: 0.6993; Accuracy: 0.5400; Precision: 0.5410; Recall: 0.9889; ROC AUC: 0.4999
+[2024-05-21 16:28:17,034 INFO] Epoch:1, Snapshot:45; F1: 0.6993; Accuracy: 0.5400; Precision: 0.5393; Recall: 0.9944; ROC AUC: 0.5026
+[2024-05-21 16:28:17,940 INFO] Epoch:1, Snapshot:46; F1: 0.6667; Accuracy: 0.5030; Precision: 0.5030; Recall: 0.9881; ROC AUC: 0.5001
+[2024-05-21 16:28:18,707 INFO] Epoch:1, Snapshot:47; F1: 0.6389; Accuracy: 0.4710; Precision: 0.4708; Recall: 0.9936; ROC AUC: 0.4997
+[2024-05-21 16:28:19,613 INFO] Epoch:1, Snapshot:48; F1: 0.6357; Accuracy: 0.4670; Precision: 0.4692; Recall: 0.9852; ROC AUC: 0.4945
+[2024-05-21 16:28:20,488 INFO] Epoch:1, Snapshot:49; F1: 0.6707; Accuracy: 0.5050; Precision: 0.5076; Recall: 0.9882; ROC AUC: 0.4951
+[2024-05-21 16:28:21,270 INFO] Epoch:1, Snapshot:50; F1: 0.6324; Accuracy: 0.4640; Precision: 0.4647; Recall: 0.9893; ROC AUC: 0.4974
+[2024-05-21 16:28:22,131 INFO] Epoch:1, Snapshot:51; F1: 0.6541; Accuracy: 0.4880; Precision: 0.4884; Recall: 0.9898; ROC AUC: 0.4988
+[2024-05-21 16:28:22,959 INFO] Epoch:1, Snapshot:52; F1: 0.6786; Accuracy: 0.5160; Precision: 0.5162; Recall: 0.9903; ROC AUC: 0.5003
+[2024-05-21 16:28:23,865 INFO] Epoch:1, Snapshot:53; F1: 0.6799; Accuracy: 0.5170; Precision: 0.5171; Recall: 0.9923; ROC AUC: 0.5003
+[2024-05-21 16:28:24,756 INFO] Epoch:1, Snapshot:54; F1: 0.6398; Accuracy: 0.4730; Precision: 0.4723; Recall: 0.9915; ROC AUC: 0.5005
+[2024-05-21 16:28:25,584 INFO] Epoch:1, Snapshot:55; F1: 0.6942; Accuracy: 0.5340; Precision: 0.5338; Recall: 0.9925; ROC AUC: 0.5016
+[2024-05-21 16:28:26,413 INFO] Epoch:1, Snapshot:56; F1: 0.6800; Accuracy: 0.5190; Precision: 0.5167; Recall: 0.9942; ROC AUC: 0.5053
+[2024-05-21 16:28:27,210 INFO] Epoch:1, Snapshot:57; F1: 0.6720; Accuracy: 0.5070; Precision: 0.5096; Recall: 0.9863; ROC AUC: 0.4952
+[2024-05-21 16:28:28,023 INFO] Epoch:1, Snapshot:58; F1: 0.6622; Accuracy: 0.4970; Precision: 0.4970; Recall: 0.9920; ROC AUC: 0.5000
+[2024-05-21 16:28:28,992 INFO] Epoch:1, Snapshot:59; F1: 0.6990; Accuracy: 0.5400; Precision: 0.5383; Recall: 0.9963; ROC AUC: 0.5046
+[2024-05-21 16:28:29,852 INFO] Epoch:1, Snapshot:60; F1: 0.6733; Accuracy: 0.5110; Precision: 0.5096; Recall: 0.9921; ROC AUC: 0.5032
+[2024-05-21 16:28:30,837 INFO] Epoch:1, Snapshot:61; F1: 0.6467; Accuracy: 0.4810; Precision: 0.4813; Recall: 0.9855; ROC AUC: 0.4985
+[2024-05-21 16:28:31,821 INFO] Epoch:1, Snapshot:62; F1: 0.6485; Accuracy: 0.4850; Precision: 0.4827; Recall: 0.9875; ROC AUC: 0.5034
+[2024-05-21 16:28:32,853 INFO] Epoch:1, Snapshot:63; F1: 0.6653; Accuracy: 0.5010; Precision: 0.5025; Recall: 0.9841; ROC AUC: 0.4971
+[2024-05-21 16:28:33,806 INFO] Epoch:1, Snapshot:64; F1: 0.6366; Accuracy: 0.4680; Precision: 0.4688; Recall: 0.9915; ROC AUC: 0.4976
+[2024-05-21 16:28:34,697 INFO] Epoch:1, Snapshot:65; F1: 0.6369; Accuracy: 0.4710; Precision: 0.4696; Recall: 0.9893; ROC AUC: 0.5013
+[2024-05-21 16:28:35,697 INFO] Epoch:1, Snapshot:66; F1: 0.7158; Accuracy: 0.5600; Precision: 0.5607; Recall: 0.9893; ROC AUC: 0.5015
+[2024-05-21 16:28:36,556 INFO] Epoch:1, Snapshot:67; F1: 0.6653; Accuracy: 0.5010; Precision: 0.5005; Recall: 0.9920; ROC AUC: 0.5010
+[2024-05-21 16:28:37,322 INFO] Epoch:1, Snapshot:68; F1: 0.6513; Accuracy: 0.4870; Precision: 0.4843; Recall: 0.9938; ROC AUC: 0.5046
+[2024-05-21 16:28:38,151 INFO] Epoch:1, Snapshot:69; F1: 0.6518; Accuracy: 0.4850; Precision: 0.4874; Recall: 0.9837; ROC AUC: 0.4948
+[2024-05-21 16:28:39,089 INFO] Epoch:1, Snapshot:70; F1: 0.6878; Accuracy: 0.5270; Precision: 0.5263; Recall: 0.9924; ROC AUC: 0.5025
+[2024-05-21 16:28:39,919 INFO] Epoch:1, Snapshot:71; F1: 0.6568; Accuracy: 0.4910; Precision: 0.4914; Recall: 0.9898; ROC AUC: 0.4989
+[2024-05-21 16:28:40,730 INFO] Epoch:1, Snapshot:72; F1: 0.6384; Accuracy: 0.4710; Precision: 0.4703; Recall: 0.9936; ROC AUC: 0.5006
+[2024-05-21 16:28:41,484 INFO] Epoch:1, Snapshot:73; F1: 0.5994; Accuracy: 0.4320; Precision: 0.4297; Recall: 0.9907; ROC AUC: 0.5015
+[2024-05-21 16:28:42,277 INFO] Epoch:1, Snapshot:74; F1: 0.6081; Accuracy: 0.4380; Precision: 0.4404; Recall: 0.9820; ROC AUC: 0.4928
+[2024-05-21 16:28:43,106 INFO] Epoch:1, Snapshot:75; F1: 0.6309; Accuracy: 0.4640; Precision: 0.4622; Recall: 0.9935; ROC AUC: 0.5023
+[2024-05-21 16:28:43,887 INFO] Epoch:1, Snapshot:76; F1: 0.6481; Accuracy: 0.4810; Precision: 0.4823; Recall: 0.9876; ROC AUC: 0.4967
+[2024-05-21 16:28:44,778 INFO] Epoch:1, Snapshot:77; F1: 0.6702; Accuracy: 0.5070; Precision: 0.5055; Recall: 0.9940; ROC AUC: 0.5031
+[2024-05-21 16:28:45,700 INFO] Epoch:1, Snapshot:78; F1: 0.7044; Accuracy: 0.5450; Precision: 0.5447; Recall: 0.9963; ROC AUC: 0.5015
+[2024-05-21 16:28:46,575 INFO] Epoch:1, Snapshot:79; F1: 0.6795; Accuracy: 0.5170; Precision: 0.5209; Recall: 0.9771; ROC AUC: 0.4938
+[2024-05-21 16:28:47,451 INFO] Epoch:1, Snapshot:80; F1: 0.6644; Accuracy: 0.5000; Precision: 0.5000; Recall: 0.9900; ROC AUC: 0.5000
+[2024-05-21 16:28:48,483 INFO] Epoch:1, Snapshot:81; F1: 0.6808; Accuracy: 0.5180; Precision: 0.5181; Recall: 0.9923; ROC AUC: 0.5003
+[2024-05-21 16:28:49,405 INFO] Epoch:1, Snapshot:82; F1: 0.6361; Accuracy: 0.4690; Precision: 0.4677; Recall: 0.9936; ROC AUC: 0.5015
+[2024-05-21 16:28:50,484 INFO] Epoch:1, Snapshot:83; F1: 0.6874; Accuracy: 0.5270; Precision: 0.5263; Recall: 0.9905; ROC AUC: 0.5026
+[2024-05-21 16:28:51,359 INFO] Epoch:1, Snapshot:84; F1: 0.6782; Accuracy: 0.5150; Precision: 0.5167; Recall: 0.9865; ROC AUC: 0.4974
+[2024-05-21 16:28:52,235 INFO] Epoch:1, Snapshot:85; F1: 0.6894; Accuracy: 0.5270; Precision: 0.5266; Recall: 0.9981; ROC AUC: 0.5012
+[2024-05-21 16:28:53,110 INFO] Epoch:1, Snapshot:86; F1: 0.6693; Accuracy: 0.5050; Precision: 0.5061; Recall: 0.9882; ROC AUC: 0.4981
+[2024-05-21 16:28:54,033 INFO] Epoch:1, Snapshot:87; F1: 0.6522; Accuracy: 0.4860; Precision: 0.4849; Recall: 0.9959; ROC AUC: 0.5018
+[2024-05-21 16:28:54,910 INFO] Epoch:1, Snapshot:88; F1: 0.6531; Accuracy: 0.4880; Precision: 0.4898; Recall: 0.9797; ROC AUC: 0.4957
+[2024-05-21 16:28:55,940 INFO] Epoch:1, Snapshot:89; F1: 0.7015; Accuracy: 0.5430; Precision: 0.5435; Recall: 0.9890; ROC AUC: 0.5010
+[2024-05-21 16:28:56,721 INFO] Epoch:1, Snapshot:90; F1: 0.6424; Accuracy: 0.4790; Precision: 0.4785; Recall: 0.9770; ROC AUC: 0.4991
+[2024-05-21 16:28:57,631 INFO] Epoch:1, Snapshot:91; F1: 0.6980; Accuracy: 0.5380; Precision: 0.5399; Recall: 0.9871; ROC AUC: 0.4979
+[2024-05-21 16:28:58,472 INFO] Epoch:1, Snapshot:92; F1: 0.6472; Accuracy: 0.4800; Precision: 0.4808; Recall: 0.9896; ROC AUC: 0.4977
+[2024-05-21 16:28:59,285 INFO] Epoch:1, Snapshot:93; F1: 0.6613; Accuracy: 0.4960; Precision: 0.4990; Recall: 0.9801; ROC AUC: 0.4941
+[2024-05-21 16:29:00,036 INFO] Epoch:1, Snapshot:94; F1: 0.6553; Accuracy: 0.4930; Precision: 0.4898; Recall: 0.9897; ROC AUC: 0.5056
+[2024-05-21 16:29:00,942 INFO] Epoch:1, Snapshot:95; F1: 0.6886; Accuracy: 0.5270; Precision: 0.5262; Recall: 0.9962; ROC AUC: 0.5023
+[2024-05-21 16:29:01,865 INFO] Epoch:1, Snapshot:96; F1: 0.6608; Accuracy: 0.4950; Precision: 0.4965; Recall: 0.9880; ROC AUC: 0.4970
+[2024-05-21 16:29:02,787 INFO] Epoch:1, Snapshot:97; F1: 0.6930; Accuracy: 0.5330; Precision: 0.5318; Recall: 0.9943; ROC AUC: 0.5036
+[2024-05-21 16:29:03,584 INFO] Epoch:1, Snapshot:98; F1: 0.6773; Accuracy: 0.5130; Precision: 0.5131; Recall: 0.9961; ROC AUC: 0.5001
+[2024-05-21 16:29:04,429 INFO] Epoch:1, Snapshot:99; F1: 0.6545; Accuracy: 0.4890; Precision: 0.4889; Recall: 0.9898; ROC AUC: 0.4998
+[2024-05-21 16:29:05,522 INFO] Epoch:1, Snapshot:100; F1: 0.6769; Accuracy: 0.5140; Precision: 0.5141; Recall: 0.9903; ROC AUC: 0.5003
+[2024-05-21 16:29:06,429 INFO] Epoch:1, Snapshot:101; F1: 0.6416; Accuracy: 0.4750; Precision: 0.4738; Recall: 0.9937; ROC AUC: 0.5016
+[2024-05-21 16:29:07,274 INFO] Epoch:1, Snapshot:102; F1: 0.6559; Accuracy: 0.4890; Precision: 0.4909; Recall: 0.9878; ROC AUC: 0.4959
+[2024-05-21 16:29:08,149 INFO] Epoch:1, Snapshot:103; F1: 0.6577; Accuracy: 0.4930; Precision: 0.4909; Recall: 0.9959; ROC AUC: 0.5038
+[2024-05-21 16:29:08,977 INFO] Epoch:1, Snapshot:104; F1: 0.6495; Accuracy: 0.4830; Precision: 0.4824; Recall: 0.9938; ROC AUC: 0.5007
+[2024-05-21 16:29:09,884 INFO] Epoch:1, Snapshot:105; F1: 0.6103; Accuracy: 0.4420; Precision: 0.4419; Recall: 0.9865; ROC AUC: 0.4977
+[2024-05-21 16:29:10,806 INFO] Epoch:1, Snapshot:106; F1: 0.5982; Accuracy: 0.4290; Precision: 0.4284; Recall: 0.9907; ROC AUC: 0.4988
+[2024-05-21 16:29:11,681 INFO] Epoch:1, Snapshot:107; F1: 0.6463; Accuracy: 0.4800; Precision: 0.4803; Recall: 0.9875; ROC AUC: 0.4986
+[2024-05-21 16:29:12,666 INFO] Epoch:1, Snapshot:108; F1: 0.6733; Accuracy: 0.5100; Precision: 0.5106; Recall: 0.9883; ROC AUC: 0.4992
+[2024-05-21 16:29:13,604 INFO] Epoch:1, Snapshot:109; F1: 0.6550; Accuracy: 0.4870; Precision: 0.4904; Recall: 0.9858; ROC AUC: 0.4929
+[2024-05-21 16:29:14,464 INFO] Epoch:1, Snapshot:110; F1: 0.6635; Accuracy: 0.4990; Precision: 0.4995; Recall: 0.9880; ROC AUC: 0.4990
+[2024-05-21 16:29:15,276 INFO] Epoch:1, Snapshot:111; F1: 0.6384; Accuracy: 0.4720; Precision: 0.4717; Recall: 0.9873; ROC AUC: 0.4993
+[2024-05-21 16:29:16,292 INFO] Epoch:1, Snapshot:112; F1: 0.6707; Accuracy: 0.5050; Precision: 0.5045; Recall: 1.0000; ROC AUC: 0.5010
+[2024-05-21 16:29:17,245 INFO] Epoch:1, Snapshot:113; F1: 0.6550; Accuracy: 0.4890; Precision: 0.4884; Recall: 0.9939; ROC AUC: 0.5008
+[2024-05-21 16:29:18,324 INFO] Epoch:1, Snapshot:114; F1: 0.6877; Accuracy: 0.5260; Precision: 0.5267; Recall: 0.9905; ROC AUC: 0.4995
+[2024-05-21 16:29:19,355 INFO] Epoch:1, Snapshot:115; F1: 0.6447; Accuracy: 0.4820; Precision: 0.4781; Recall: 0.9895; ROC AUC: 0.5062
+[2024-05-21 16:29:20,371 INFO] Epoch:1, Snapshot:116; F1: 0.6608; Accuracy: 0.4950; Precision: 0.4940; Recall: 0.9980; ROC AUC: 0.5019
+[2024-05-21 16:29:21,434 INFO] Epoch:1, Snapshot:117; F1: 0.6421; Accuracy: 0.4760; Precision: 0.4757; Recall: 0.9874; ROC AUC: 0.4994
+[2024-05-21 16:29:22,403 INFO] Epoch:1, Snapshot:118; F1: 0.6843; Accuracy: 0.5220; Precision: 0.5222; Recall: 0.9923; ROC AUC: 0.5004
+[2024-05-21 16:29:23,372 INFO] Epoch:1, Snapshot:119; F1: 0.6517; Accuracy: 0.4870; Precision: 0.4883; Recall: 0.9796; ROC AUC: 0.4967
+[2024-05-21 16:29:24,357 INFO] Epoch:1, Snapshot:120; F1: 0.6531; Accuracy: 0.4870; Precision: 0.4854; Recall: 0.9979; ROC AUC: 0.5028
+[2024-05-21 16:29:25,295 INFO] Epoch:1, Snapshot:121; F1: 0.6640; Accuracy: 0.4990; Precision: 0.4980; Recall: 0.9960; ROC AUC: 0.5020
+[2024-05-21 16:29:26,201 INFO] Epoch:1, Snapshot:122; F1: 0.6895; Accuracy: 0.5280; Precision: 0.5336; Recall: 0.9740; ROC AUC: 0.4913
+[2024-05-21 16:29:27,206 INFO] Epoch:1, Snapshot:123; F1: 0.6500; Accuracy: 0.4820; Precision: 0.4844; Recall: 0.9877; ROC AUC: 0.4948
+[2024-05-21 16:29:27,217 INFO] Epoch:1, Snapshot: 17; Loss: 0.8359
+[2024-05-21 16:29:34,203 INFO] Epoch:1, Snapshot:37; F1: 0.7223; Accuracy: 0.5710; Precision: 0.5723; Recall: 0.9789; ROC AUC: 0.5046
+[2024-05-21 16:29:35,047 INFO] Epoch:1, Snapshot:38; F1: 0.6887; Accuracy: 0.5300; Precision: 0.5366; Recall: 0.9612; ROC AUC: 0.4915
+[2024-05-21 16:29:35,782 INFO] Epoch:1, Snapshot:39; F1: 0.6287; Accuracy: 0.4650; Precision: 0.4675; Recall: 0.9597; ROC AUC: 0.4912
+[2024-05-21 16:29:36,579 INFO] Epoch:1, Snapshot:40; F1: 0.6729; Accuracy: 0.5120; Precision: 0.5170; Recall: 0.9635; ROC AUC: 0.4922
+[2024-05-21 16:29:37,329 INFO] Epoch:1, Snapshot:41; F1: 0.6433; Accuracy: 0.4820; Precision: 0.4775; Recall: 0.9852; ROC AUC: 0.5069
+[2024-05-21 16:29:38,142 INFO] Epoch:1, Snapshot:42; F1: 0.6442; Accuracy: 0.4820; Precision: 0.4820; Recall: 0.9710; ROC AUC: 0.4981
+[2024-05-21 16:29:38,955 INFO] Epoch:1, Snapshot:43; F1: 0.6270; Accuracy: 0.4670; Precision: 0.4623; Recall: 0.9739; ROC AUC: 0.5045
+[2024-05-21 16:29:39,814 INFO] Epoch:1, Snapshot:44; F1: 0.6944; Accuracy: 0.5380; Precision: 0.5407; Recall: 0.9704; ROC AUC: 0.4994
+[2024-05-21 16:29:40,705 INFO] Epoch:1, Snapshot:45; F1: 0.6840; Accuracy: 0.5260; Precision: 0.5333; Recall: 0.9535; ROC AUC: 0.4908
+[2024-05-21 16:29:41,596 INFO] Epoch:1, Snapshot:46; F1: 0.6608; Accuracy: 0.4990; Precision: 0.5010; Recall: 0.9702; ROC AUC: 0.4962
+[2024-05-21 16:29:42,346 INFO] Epoch:1, Snapshot:47; F1: 0.6338; Accuracy: 0.4720; Precision: 0.4706; Recall: 0.9703; ROC AUC: 0.4993
+[2024-05-21 16:29:43,283 INFO] Epoch:1, Snapshot:48; F1: 0.6288; Accuracy: 0.4640; Precision: 0.4671; Recall: 0.9619; ROC AUC: 0.4904
+[2024-05-21 16:29:44,179 INFO] Epoch:1, Snapshot:49; F1: 0.6658; Accuracy: 0.5050; Precision: 0.5077; Recall: 0.9667; ROC AUC: 0.4956
+[2024-05-21 16:29:44,987 INFO] Epoch:1, Snapshot:50; F1: 0.6352; Accuracy: 0.4750; Precision: 0.4697; Recall: 0.9807; ROC AUC: 0.5072
+[2024-05-21 16:29:45,846 INFO] Epoch:1, Snapshot:51; F1: 0.6543; Accuracy: 0.4980; Precision: 0.4933; Recall: 0.9714; ROC AUC: 0.5082
+[2024-05-21 16:29:46,690 INFO] Epoch:1, Snapshot:52; F1: 0.6752; Accuracy: 0.5190; Precision: 0.5181; Recall: 0.9690; ROC AUC: 0.5041
+[2024-05-21 16:29:47,581 INFO] Epoch:1, Snapshot:53; F1: 0.6751; Accuracy: 0.5140; Precision: 0.5158; Recall: 0.9768; ROC AUC: 0.4977
+[2024-05-21 16:29:48,425 INFO] Epoch:1, Snapshot:54; F1: 0.6403; Accuracy: 0.4810; Precision: 0.4758; Recall: 0.9788; ROC AUC: 0.5074
+[2024-05-21 16:29:49,300 INFO] Epoch:1, Snapshot:55; F1: 0.6906; Accuracy: 0.5340; Precision: 0.5344; Recall: 0.9756; ROC AUC: 0.5028
+[2024-05-21 16:29:50,113 INFO] Epoch:1, Snapshot:56; F1: 0.6689; Accuracy: 0.5110; Precision: 0.5130; Recall: 0.9611; ROC AUC: 0.4980
+[2024-05-21 16:29:50,895 INFO] Epoch:1, Snapshot:57; F1: 0.6729; Accuracy: 0.5140; Precision: 0.5133; Recall: 0.9766; ROC AUC: 0.5026
+[2024-05-21 16:29:51,676 INFO] Epoch:1, Snapshot:58; F1: 0.6576; Accuracy: 0.4970; Precision: 0.4969; Recall: 0.9718; ROC AUC: 0.4998
+[2024-05-21 16:29:52,677 INFO] Epoch:1, Snapshot:59; F1: 0.6821; Accuracy: 0.5210; Precision: 0.5294; Recall: 0.9590; ROC AUC: 0.4870
+[2024-05-21 16:29:53,552 INFO] Epoch:1, Snapshot:60; F1: 0.6676; Accuracy: 0.5050; Precision: 0.5066; Recall: 0.9783; ROC AUC: 0.4973
+[2024-05-21 16:29:54,568 INFO] Epoch:1, Snapshot:61; F1: 0.6404; Accuracy: 0.4790; Precision: 0.4798; Recall: 0.9627; ROC AUC: 0.4958
+[2024-05-21 16:29:55,568 INFO] Epoch:1, Snapshot:62; F1: 0.6432; Accuracy: 0.4840; Precision: 0.4819; Recall: 0.9667; ROC AUC: 0.5017
+[2024-05-21 16:29:56,631 INFO] Epoch:1, Snapshot:63; F1: 0.6590; Accuracy: 0.4980; Precision: 0.5010; Recall: 0.9623; ROC AUC: 0.4943
+[2024-05-21 16:29:57,568 INFO] Epoch:1, Snapshot:64; F1: 0.6355; Accuracy: 0.4770; Precision: 0.4725; Recall: 0.9702; ROC AUC: 0.5049
+[2024-05-21 16:29:58,459 INFO] Epoch:1, Snapshot:65; F1: 0.6361; Accuracy: 0.4760; Precision: 0.4717; Recall: 0.9765; ROC AUC: 0.5052
+[2024-05-21 16:29:59,460 INFO] Epoch:1, Snapshot:66; F1: 0.7066; Accuracy: 0.5540; Precision: 0.5594; Recall: 0.9589; ROC AUC: 0.4988
+[2024-05-21 16:30:00,288 INFO] Epoch:1, Snapshot:67; F1: 0.6585; Accuracy: 0.4990; Precision: 0.4995; Recall: 0.9660; ROC AUC: 0.4990
+[2024-05-21 16:30:01,101 INFO] Epoch:1, Snapshot:68; F1: 0.6460; Accuracy: 0.4850; Precision: 0.4830; Recall: 0.9751; ROC AUC: 0.5020
+[2024-05-21 16:30:01,977 INFO] Epoch:1, Snapshot:69; F1: 0.6494; Accuracy: 0.4870; Precision: 0.4882; Recall: 0.9694; ROC AUC: 0.4965
+[2024-05-21 16:30:02,883 INFO] Epoch:1, Snapshot:70; F1: 0.6769; Accuracy: 0.5170; Precision: 0.5216; Recall: 0.9638; ROC AUC: 0.4935
+[2024-05-21 16:30:03,727 INFO] Epoch:1, Snapshot:71; F1: 0.6529; Accuracy: 0.4950; Precision: 0.4933; Recall: 0.9654; ROC AUC: 0.5024
+[2024-05-21 16:30:04,618 INFO] Epoch:1, Snapshot:72; F1: 0.6352; Accuracy: 0.4740; Precision: 0.4712; Recall: 0.9745; ROC AUC: 0.5023
+[2024-05-21 16:30:05,321 INFO] Epoch:1, Snapshot:73; F1: 0.5964; Accuracy: 0.4330; Precision: 0.4293; Recall: 0.9767; ROC AUC: 0.5006
+[2024-05-21 16:30:06,103 INFO] Epoch:1, Snapshot:74; F1: 0.6041; Accuracy: 0.4390; Precision: 0.4399; Recall: 0.9640; ROC AUC: 0.4919
+[2024-05-21 16:30:06,946 INFO] Epoch:1, Snapshot:75; F1: 0.6191; Accuracy: 0.4550; Precision: 0.4567; Recall: 0.9610; ROC AUC: 0.4916
+[2024-05-21 16:30:07,713 INFO] Epoch:1, Snapshot:76; F1: 0.6390; Accuracy: 0.4780; Precision: 0.4802; Recall: 0.9545; ROC AUC: 0.4928
+[2024-05-21 16:30:08,603 INFO] Epoch:1, Snapshot:77; F1: 0.6608; Accuracy: 0.5010; Precision: 0.5026; Recall: 0.9643; ROC AUC: 0.4973
+[2024-05-21 16:30:09,541 INFO] Epoch:1, Snapshot:78; F1: 0.6909; Accuracy: 0.5330; Precision: 0.5398; Recall: 0.9596; ROC AUC: 0.4918
+[2024-05-21 16:30:10,448 INFO] Epoch:1, Snapshot:79; F1: 0.6747; Accuracy: 0.5140; Precision: 0.5196; Recall: 0.9618; ROC AUC: 0.4914
+[2024-05-21 16:30:11,260 INFO] Epoch:1, Snapshot:80; F1: 0.6581; Accuracy: 0.4970; Precision: 0.4985; Recall: 0.9680; ROC AUC: 0.4970
+[2024-05-21 16:30:12,199 INFO] Epoch:1, Snapshot:81; F1: 0.6792; Accuracy: 0.5210; Precision: 0.5200; Recall: 0.9788; ROC AUC: 0.5039
+[2024-05-21 16:30:12,996 INFO] Epoch:1, Snapshot:82; F1: 0.6261; Accuracy: 0.4650; Precision: 0.4647; Recall: 0.9593; ROC AUC: 0.4956
+[2024-05-21 16:30:13,981 INFO] Epoch:1, Snapshot:83; F1: 0.6849; Accuracy: 0.5270; Precision: 0.5266; Recall: 0.9790; ROC AUC: 0.5032
+[2024-05-21 16:30:14,841 INFO] Epoch:1, Snapshot:84; F1: 0.6805; Accuracy: 0.5240; Precision: 0.5216; Recall: 0.9788; ROC AUC: 0.5070
+[2024-05-21 16:30:15,685 INFO] Epoch:1, Snapshot:85; F1: 0.6774; Accuracy: 0.5180; Precision: 0.5227; Recall: 0.9620; ROC AUC: 0.4936
+[2024-05-21 16:30:16,544 INFO] Epoch:1, Snapshot:86; F1: 0.6667; Accuracy: 0.5090; Precision: 0.5083; Recall: 0.9684; ROC AUC: 0.5025
+[2024-05-21 16:30:17,451 INFO] Epoch:1, Snapshot:87; F1: 0.6456; Accuracy: 0.4850; Precision: 0.4840; Recall: 0.9690; ROC AUC: 0.5000
+[2024-05-21 16:30:18,327 INFO] Epoch:1, Snapshot:88; F1: 0.6479; Accuracy: 0.4870; Precision: 0.4891; Recall: 0.9593; ROC AUC: 0.4944
+[2024-05-21 16:30:19,374 INFO] Epoch:1, Snapshot:89; F1: 0.6953; Accuracy: 0.5390; Precision: 0.5423; Recall: 0.9687; ROC AUC: 0.4986
+[2024-05-21 16:30:20,155 INFO] Epoch:1, Snapshot:90; F1: 0.6408; Accuracy: 0.4810; Precision: 0.4793; Recall: 0.9666; ROC AUC: 0.5006
+[2024-05-21 16:30:21,046 INFO] Epoch:1, Snapshot:91; F1: 0.6957; Accuracy: 0.5380; Precision: 0.5404; Recall: 0.9760; ROC AUC: 0.4989
+[2024-05-21 16:30:21,890 INFO] Epoch:1, Snapshot:92; F1: 0.6399; Accuracy: 0.4800; Precision: 0.4802; Recall: 0.9585; ROC AUC: 0.4966
+[2024-05-21 16:30:22,719 INFO] Epoch:1, Snapshot:93; F1: 0.6644; Accuracy: 0.5040; Precision: 0.5031; Recall: 0.9781; ROC AUC: 0.5021
+[2024-05-21 16:30:23,500 INFO] Epoch:1, Snapshot:94; F1: 0.6460; Accuracy: 0.4850; Precision: 0.4855; Recall: 0.9651; ROC AUC: 0.4972
+[2024-05-21 16:30:24,375 INFO] Epoch:1, Snapshot:95; F1: 0.6832; Accuracy: 0.5270; Precision: 0.5269; Recall: 0.9714; ROC AUC: 0.5036
+[2024-05-21 16:30:25,281 INFO] Epoch:1, Snapshot:96; F1: 0.6603; Accuracy: 0.4990; Precision: 0.4985; Recall: 0.9779; ROC AUC: 0.5009
+[2024-05-21 16:30:26,203 INFO] Epoch:1, Snapshot:97; F1: 0.6956; Accuracy: 0.5440; Precision: 0.5382; Recall: 0.9830; ROC AUC: 0.5160
+[2024-05-21 16:30:26,985 INFO] Epoch:1, Snapshot:98; F1: 0.6680; Accuracy: 0.5080; Precision: 0.5108; Recall: 0.9649; ROC AUC: 0.4958
+[2024-05-21 16:30:27,814 INFO] Epoch:1, Snapshot:99; F1: 0.6497; Accuracy: 0.4910; Precision: 0.4896; Recall: 0.9652; ROC AUC: 0.5012
+[2024-05-21 16:30:28,923 INFO] Epoch:1, Snapshot:100; F1: 0.6707; Accuracy: 0.5100; Precision: 0.5123; Recall: 0.9708; ROC AUC: 0.4967
+[2024-05-21 16:30:29,798 INFO] Epoch:1, Snapshot:101; F1: 0.6343; Accuracy: 0.4720; Precision: 0.4717; Recall: 0.9683; ROC AUC: 0.4974
+[2024-05-21 16:30:30,642 INFO] Epoch:1, Snapshot:102; F1: 0.6512; Accuracy: 0.4900; Precision: 0.4912; Recall: 0.9655; ROC AUC: 0.4966
+[2024-05-21 16:30:31,502 INFO] Epoch:1, Snapshot:103; F1: 0.6492; Accuracy: 0.4920; Precision: 0.4901; Recall: 0.9611; ROC AUC: 0.5021
+[2024-05-21 16:30:32,330 INFO] Epoch:1, Snapshot:104; F1: 0.6394; Accuracy: 0.4800; Precision: 0.4802; Recall: 0.9564; ROC AUC: 0.4966
+[2024-05-21 16:30:33,221 INFO] Epoch:1, Snapshot:105; F1: 0.6055; Accuracy: 0.4410; Precision: 0.4405; Recall: 0.9684; ROC AUC: 0.4950
+[2024-05-21 16:30:34,158 INFO] Epoch:1, Snapshot:106; F1: 0.5924; Accuracy: 0.4290; Precision: 0.4270; Recall: 0.9674; ROC AUC: 0.4959
+[2024-05-21 16:30:35,049 INFO] Epoch:1, Snapshot:107; F1: 0.6470; Accuracy: 0.4860; Precision: 0.4831; Recall: 0.9792; ROC AUC: 0.5041
+[2024-05-21 16:30:36,065 INFO] Epoch:1, Snapshot:108; F1: 0.6730; Accuracy: 0.5160; Precision: 0.5139; Recall: 0.9746; ROC AUC: 0.5057
+[2024-05-21 16:30:36,971 INFO] Epoch:1, Snapshot:109; F1: 0.6603; Accuracy: 0.4990; Precision: 0.4964; Recall: 0.9858; ROC AUC: 0.5048
+[2024-05-21 16:30:37,816 INFO] Epoch:1, Snapshot:110; F1: 0.6549; Accuracy: 0.4920; Precision: 0.4959; Recall: 0.9640; ROC AUC: 0.4920
+[2024-05-21 16:30:38,629 INFO] Epoch:1, Snapshot:111; F1: 0.6401; Accuracy: 0.4770; Precision: 0.4740; Recall: 0.9852; ROC AUC: 0.5039
+[2024-05-21 16:30:39,660 INFO] Epoch:1, Snapshot:112; F1: 0.6648; Accuracy: 0.5100; Precision: 0.5073; Recall: 0.9643; ROC AUC: 0.5063
+[2024-05-21 16:30:40,567 INFO] Epoch:1, Snapshot:113; F1: 0.6548; Accuracy: 0.4960; Precision: 0.4918; Recall: 0.9795; ROC AUC: 0.5073
+[2024-05-21 16:30:41,677 INFO] Epoch:1, Snapshot:114; F1: 0.6818; Accuracy: 0.5250; Precision: 0.5269; Recall: 0.9658; ROC AUC: 0.4998
+[2024-05-21 16:30:42,740 INFO] Epoch:1, Snapshot:115; F1: 0.6371; Accuracy: 0.4760; Precision: 0.4747; Recall: 0.9684; ROC AUC: 0.4994
+[2024-05-21 16:30:43,756 INFO] Epoch:1, Snapshot:116; F1: 0.6530; Accuracy: 0.4920; Precision: 0.4923; Recall: 0.9696; ROC AUC: 0.4986
+[2024-05-21 16:30:44,787 INFO] Epoch:1, Snapshot:117; F1: 0.6432; Accuracy: 0.4830; Precision: 0.4789; Recall: 0.9790; ROC AUC: 0.5057
+[2024-05-21 16:30:45,772 INFO] Epoch:1, Snapshot:118; F1: 0.6850; Accuracy: 0.5310; Precision: 0.5274; Recall: 0.9770; ROC AUC: 0.5105
+[2024-05-21 16:30:46,740 INFO] Epoch:1, Snapshot:119; F1: 0.6535; Accuracy: 0.4920; Precision: 0.4908; Recall: 0.9776; ROC AUC: 0.5015
+[2024-05-21 16:30:47,709 INFO] Epoch:1, Snapshot:120; F1: 0.6381; Accuracy: 0.4760; Precision: 0.4793; Recall: 0.9545; ROC AUC: 0.4908
+[2024-05-21 16:30:48,647 INFO] Epoch:1, Snapshot:121; F1: 0.6581; Accuracy: 0.4970; Precision: 0.4969; Recall: 0.9738; ROC AUC: 0.4998
+[2024-05-21 16:30:49,522 INFO] Epoch:1, Snapshot:122; F1: 0.6874; Accuracy: 0.5280; Precision: 0.5340; Recall: 0.9647; ROC AUC: 0.4921
+[2024-05-21 16:30:50,522 INFO] Epoch:1, Snapshot:123; F1: 0.6422; Accuracy: 0.4830; Precision: 0.4843; Recall: 0.9528; ROC AUC: 0.4949
+[2024-05-21 16:30:50,538 INFO] Epoch:1, Snapshot: 18; Loss: 0.7617
+[2024-05-21 16:30:57,460 INFO] Epoch:1, Snapshot:37; F1: 0.6882; Accuracy: 0.5460; Precision: 0.5655; Recall: 0.8789; ROC AUC: 0.4918
+[2024-05-21 16:30:58,320 INFO] Epoch:1, Snapshot:38; F1: 0.6759; Accuracy: 0.5330; Precision: 0.5411; Recall: 0.9002; ROC AUC: 0.5002
+[2024-05-21 16:30:59,086 INFO] Epoch:1, Snapshot:39; F1: 0.6151; Accuracy: 0.4680; Precision: 0.4670; Recall: 0.9004; ROC AUC: 0.4909
+[2024-05-21 16:30:59,868 INFO] Epoch:1, Snapshot:40; F1: 0.6606; Accuracy: 0.5170; Precision: 0.5211; Recall: 0.9021; ROC AUC: 0.5001
+[2024-05-21 16:31:00,680 INFO] Epoch:1, Snapshot:41; F1: 0.6101; Accuracy: 0.4670; Precision: 0.4670; Recall: 0.8797; ROC AUC: 0.4874
+[2024-05-21 16:31:01,524 INFO] Epoch:1, Snapshot:42; F1: 0.6321; Accuracy: 0.4890; Precision: 0.4845; Recall: 0.9089; ROC AUC: 0.5028
+[2024-05-21 16:31:02,290 INFO] Epoch:1, Snapshot:43; F1: 0.6029; Accuracy: 0.4600; Precision: 0.4556; Recall: 0.8913; ROC AUC: 0.4919
+[2024-05-21 16:31:03,119 INFO] Epoch:1, Snapshot:44; F1: 0.6648; Accuracy: 0.5150; Precision: 0.5309; Recall: 0.8891; ROC AUC: 0.4816
+[2024-05-21 16:31:03,994 INFO] Epoch:1, Snapshot:45; F1: 0.6685; Accuracy: 0.5250; Precision: 0.5352; Recall: 0.8903; ROC AUC: 0.4950
+[2024-05-21 16:31:04,870 INFO] Epoch:1, Snapshot:46; F1: 0.6401; Accuracy: 0.4940; Precision: 0.4983; Recall: 0.8946; ROC AUC: 0.4916
+[2024-05-21 16:31:05,620 INFO] Epoch:1, Snapshot:47; F1: 0.6348; Accuracy: 0.5030; Precision: 0.4854; Recall: 0.9172; ROC AUC: 0.5257
+[2024-05-21 16:31:06,526 INFO] Epoch:1, Snapshot:48; F1: 0.6240; Accuracy: 0.4830; Precision: 0.4751; Recall: 0.9089; ROC AUC: 0.5056
+[2024-05-21 16:31:07,418 INFO] Epoch:1, Snapshot:49; F1: 0.6573; Accuracy: 0.5130; Precision: 0.5126; Recall: 0.9157; ROC AUC: 0.5048
+[2024-05-21 16:31:08,215 INFO] Epoch:1, Snapshot:50; F1: 0.6281; Accuracy: 0.4920; Precision: 0.4767; Recall: 0.9206; ROC AUC: 0.5193
+[2024-05-21 16:31:09,106 INFO] Epoch:1, Snapshot:51; F1: 0.6277; Accuracy: 0.4840; Precision: 0.4849; Recall: 0.8896; ROC AUC: 0.4927
+[2024-05-21 16:31:10,012 INFO] Epoch:1, Snapshot:52; F1: 0.6521; Accuracy: 0.5070; Precision: 0.5128; Recall: 0.8953; ROC AUC: 0.4942
+[2024-05-21 16:31:10,920 INFO] Epoch:1, Snapshot:53; F1: 0.6577; Accuracy: 0.5140; Precision: 0.5172; Recall: 0.9033; ROC AUC: 0.5003
+[2024-05-21 16:31:11,748 INFO] Epoch:1, Snapshot:54; F1: 0.6257; Accuracy: 0.4820; Precision: 0.4748; Recall: 0.9174; ROC AUC: 0.5051
+[2024-05-21 16:31:12,593 INFO] Epoch:1, Snapshot:55; F1: 0.6606; Accuracy: 0.5140; Precision: 0.5261; Recall: 0.8874; ROC AUC: 0.4876
+[2024-05-21 16:31:13,437 INFO] Epoch:1, Snapshot:56; F1: 0.6477; Accuracy: 0.5050; Precision: 0.5107; Recall: 0.8852; ROC AUC: 0.4940
+[2024-05-21 16:31:14,234 INFO] Epoch:1, Snapshot:57; F1: 0.6451; Accuracy: 0.5070; Precision: 0.5108; Recall: 0.8750; ROC AUC: 0.4980
+[2024-05-21 16:31:15,031 INFO] Epoch:1, Snapshot:58; F1: 0.6397; Accuracy: 0.5010; Precision: 0.4989; Recall: 0.8913; ROC AUC: 0.5033
+[2024-05-21 16:31:15,953 INFO] Epoch:1, Snapshot:59; F1: 0.6653; Accuracy: 0.5210; Precision: 0.5318; Recall: 0.8881; ROC AUC: 0.4925
+[2024-05-21 16:31:16,844 INFO] Epoch:1, Snapshot:60; F1: 0.6453; Accuracy: 0.5010; Precision: 0.5050; Recall: 0.8937; ROC AUC: 0.4946
+[2024-05-21 16:31:17,844 INFO] Epoch:1, Snapshot:61; F1: 0.6298; Accuracy: 0.4910; Precision: 0.4849; Recall: 0.8983; ROC AUC: 0.5052
+[2024-05-21 16:31:18,922 INFO] Epoch:1, Snapshot:62; F1: 0.6196; Accuracy: 0.4770; Precision: 0.4765; Recall: 0.8857; ROC AUC: 0.4920
+[2024-05-21 16:31:19,969 INFO] Epoch:1, Snapshot:63; F1: 0.6453; Accuracy: 0.5010; Precision: 0.5028; Recall: 0.9008; ROC AUC: 0.4978
+[2024-05-21 16:31:20,907 INFO] Epoch:1, Snapshot:64; F1: 0.6149; Accuracy: 0.4790; Precision: 0.4711; Recall: 0.8851; ROC AUC: 0.5020
+[2024-05-21 16:31:21,782 INFO] Epoch:1, Snapshot:65; F1: 0.6098; Accuracy: 0.4690; Precision: 0.4652; Recall: 0.8849; ROC AUC: 0.4933
+[2024-05-21 16:31:22,814 INFO] Epoch:1, Snapshot:66; F1: 0.6872; Accuracy: 0.5430; Precision: 0.5572; Recall: 0.8964; ROC AUC: 0.4948
+[2024-05-21 16:31:23,627 INFO] Epoch:1, Snapshot:67; F1: 0.6388; Accuracy: 0.4990; Precision: 0.4994; Recall: 0.8860; ROC AUC: 0.4990
+[2024-05-21 16:31:24,408 INFO] Epoch:1, Snapshot:68; F1: 0.6259; Accuracy: 0.4860; Precision: 0.4821; Recall: 0.8921; ROC AUC: 0.5001
+[2024-05-21 16:31:25,283 INFO] Epoch:1, Snapshot:69; F1: 0.6325; Accuracy: 0.4910; Precision: 0.4894; Recall: 0.8939; ROC AUC: 0.4989
+[2024-05-21 16:31:26,174 INFO] Epoch:1, Snapshot:70; F1: 0.6482; Accuracy: 0.5040; Precision: 0.5164; Recall: 0.8705; ROC AUC: 0.4847
+[2024-05-21 16:31:27,002 INFO] Epoch:1, Snapshot:71; F1: 0.6339; Accuracy: 0.4930; Precision: 0.4916; Recall: 0.8923; ROC AUC: 0.4993
+[2024-05-21 16:31:27,846 INFO] Epoch:1, Snapshot:72; F1: 0.6286; Accuracy: 0.4860; Precision: 0.4759; Recall: 0.9255; ROC AUC: 0.5109
+[2024-05-21 16:31:28,550 INFO] Epoch:1, Snapshot:73; F1: 0.5794; Accuracy: 0.4440; Precision: 0.4289; Recall: 0.8928; ROC AUC: 0.4998
+[2024-05-21 16:31:29,331 INFO] Epoch:1, Snapshot:74; F1: 0.5865; Accuracy: 0.4530; Precision: 0.4414; Recall: 0.8739; ROC AUC: 0.4954
+[2024-05-21 16:31:30,144 INFO] Epoch:1, Snapshot:75; F1: 0.6183; Accuracy: 0.4790; Precision: 0.4668; Recall: 0.9154; ROC AUC: 0.5106
+[2024-05-21 16:31:30,894 INFO] Epoch:1, Snapshot:76; F1: 0.6333; Accuracy: 0.4950; Precision: 0.4882; Recall: 0.9008; ROC AUC: 0.5076
+[2024-05-21 16:31:31,801 INFO] Epoch:1, Snapshot:77; F1: 0.6443; Accuracy: 0.5020; Precision: 0.5033; Recall: 0.8948; ROC AUC: 0.4988
+[2024-05-21 16:31:32,707 INFO] Epoch:1, Snapshot:78; F1: 0.6709; Accuracy: 0.5340; Precision: 0.5447; Recall: 0.8732; ROC AUC: 0.5013
+[2024-05-21 16:31:33,629 INFO] Epoch:1, Snapshot:79; F1: 0.6709; Accuracy: 0.5330; Precision: 0.5318; Recall: 0.9084; ROC AUC: 0.5141
+[2024-05-21 16:31:34,473 INFO] Epoch:1, Snapshot:80; F1: 0.6470; Accuracy: 0.5100; Precision: 0.5056; Recall: 0.8980; ROC AUC: 0.5100
+[2024-05-21 16:31:35,426 INFO] Epoch:1, Snapshot:81; F1: 0.6609; Accuracy: 0.5260; Precision: 0.5250; Recall: 0.8919; ROC AUC: 0.5123
+[2024-05-21 16:31:36,223 INFO] Epoch:1, Snapshot:82; F1: 0.6201; Accuracy: 0.4780; Precision: 0.4697; Recall: 0.9122; ROC AUC: 0.5049
+[2024-05-21 16:31:37,192 INFO] Epoch:1, Snapshot:83; F1: 0.6714; Accuracy: 0.5330; Precision: 0.5324; Recall: 0.9086; ROC AUC: 0.5132
+[2024-05-21 16:31:38,021 INFO] Epoch:1, Snapshot:84; F1: 0.6685; Accuracy: 0.5280; Precision: 0.5254; Recall: 0.9189; ROC AUC: 0.5134
+[2024-05-21 16:31:38,943 INFO] Epoch:1, Snapshot:85; F1: 0.6667; Accuracy: 0.5210; Precision: 0.5258; Recall: 0.9106; ROC AUC: 0.4996
+[2024-05-21 16:31:39,803 INFO] Epoch:1, Snapshot:86; F1: 0.6367; Accuracy: 0.4910; Precision: 0.4989; Recall: 0.8797; ROC AUC: 0.4855
+[2024-05-21 16:31:40,709 INFO] Epoch:1, Snapshot:87; F1: 0.6237; Accuracy: 0.4860; Precision: 0.4830; Recall: 0.8802; ROC AUC: 0.4982
+[2024-05-21 16:31:41,615 INFO] Epoch:1, Snapshot:88; F1: 0.6339; Accuracy: 0.4860; Precision: 0.4879; Recall: 0.9045; ROC AUC: 0.4926
+[2024-05-21 16:31:42,647 INFO] Epoch:1, Snapshot:89; F1: 0.6774; Accuracy: 0.5380; Precision: 0.5456; Recall: 0.8932; ROC AUC: 0.5046
+[2024-05-21 16:31:43,428 INFO] Epoch:1, Snapshot:90; F1: 0.6120; Accuracy: 0.4700; Precision: 0.4713; Recall: 0.8727; ROC AUC: 0.4862
+[2024-05-21 16:31:44,335 INFO] Epoch:1, Snapshot:91; F1: 0.6814; Accuracy: 0.5380; Precision: 0.5435; Recall: 0.9131; ROC AUC: 0.5045
+[2024-05-21 16:31:45,256 INFO] Epoch:1, Snapshot:92; F1: 0.6282; Accuracy: 0.4840; Precision: 0.4812; Recall: 0.9046; ROC AUC: 0.4986
+[2024-05-21 16:31:46,069 INFO] Epoch:1, Snapshot:93; F1: 0.6347; Accuracy: 0.4900; Precision: 0.4955; Recall: 0.8825; ROC AUC: 0.4884
+[2024-05-21 16:31:46,835 INFO] Epoch:1, Snapshot:94; F1: 0.6280; Accuracy: 0.4810; Precision: 0.4824; Recall: 0.8994; ROC AUC: 0.4916
+[2024-05-21 16:31:47,695 INFO] Epoch:1, Snapshot:95; F1: 0.6559; Accuracy: 0.5080; Precision: 0.5182; Recall: 0.8933; ROC AUC: 0.4877
+[2024-05-21 16:31:48,617 INFO] Epoch:1, Snapshot:96; F1: 0.6338; Accuracy: 0.4870; Precision: 0.4917; Recall: 0.8916; ROC AUC: 0.4886
+[2024-05-21 16:31:49,555 INFO] Epoch:1, Snapshot:97; F1: 0.6601; Accuracy: 0.5150; Precision: 0.5251; Recall: 0.8887; ROC AUC: 0.4911
+[2024-05-21 16:31:50,290 INFO] Epoch:1, Snapshot:98; F1: 0.6586; Accuracy: 0.5230; Precision: 0.5204; Recall: 0.8967; ROC AUC: 0.5130
+[2024-05-21 16:31:51,149 INFO] Epoch:1, Snapshot:99; F1: 0.6194; Accuracy: 0.4740; Precision: 0.4793; Recall: 0.8753; ROC AUC: 0.4826
+[2024-05-21 16:31:52,259 INFO] Epoch:1, Snapshot:100; F1: 0.6489; Accuracy: 0.5000; Precision: 0.5077; Recall: 0.8988; ROC AUC: 0.4885
+[2024-05-21 16:31:53,118 INFO] Epoch:1, Snapshot:101; F1: 0.6162; Accuracy: 0.4730; Precision: 0.4700; Recall: 0.8943; ROC AUC: 0.4946
+[2024-05-21 16:31:53,947 INFO] Epoch:1, Snapshot:102; F1: 0.6433; Accuracy: 0.5020; Precision: 0.4972; Recall: 0.9108; ROC AUC: 0.5076
+[2024-05-21 16:31:54,822 INFO] Epoch:1, Snapshot:103; F1: 0.6299; Accuracy: 0.4830; Precision: 0.4846; Recall: 0.8998; ROC AUC: 0.4920
+[2024-05-21 16:31:55,666 INFO] Epoch:1, Snapshot:104; F1: 0.6330; Accuracy: 0.4910; Precision: 0.4851; Recall: 0.9108; ROC AUC: 0.5056
+[2024-05-21 16:31:56,589 INFO] Epoch:1, Snapshot:105; F1: 0.5811; Accuracy: 0.4420; Precision: 0.4353; Recall: 0.8736; ROC AUC: 0.4862
+[2024-05-21 16:31:57,558 INFO] Epoch:1, Snapshot:106; F1: 0.5953; Accuracy: 0.4520; Precision: 0.4357; Recall: 0.9394; ROC AUC: 0.5126
+[2024-05-21 16:31:58,465 INFO] Epoch:1, Snapshot:107; F1: 0.6195; Accuracy: 0.4780; Precision: 0.4770; Recall: 0.8836; ROC AUC: 0.4928
+[2024-05-21 16:31:59,480 INFO] Epoch:1, Snapshot:108; F1: 0.6497; Accuracy: 0.5040; Precision: 0.5083; Recall: 0.9002; ROC AUC: 0.4951
+[2024-05-21 16:32:00,450 INFO] Epoch:1, Snapshot:109; F1: 0.6332; Accuracy: 0.4890; Precision: 0.4905; Recall: 0.8927; ROC AUC: 0.4938
+[2024-05-21 16:32:01,278 INFO] Epoch:1, Snapshot:110; F1: 0.6455; Accuracy: 0.5080; Precision: 0.5045; Recall: 0.8960; ROC AUC: 0.5080
+[2024-05-21 16:32:02,091 INFO] Epoch:1, Snapshot:111; F1: 0.6142; Accuracy: 0.4710; Precision: 0.4683; Recall: 0.8919; ROC AUC: 0.4933
+[2024-05-21 16:32:03,138 INFO] Epoch:1, Snapshot:112; F1: 0.6481; Accuracy: 0.5070; Precision: 0.5061; Recall: 0.9008; ROC AUC: 0.5038
+[2024-05-21 16:32:04,029 INFO] Epoch:1, Snapshot:113; F1: 0.6232; Accuracy: 0.4800; Precision: 0.4821; Recall: 0.8811; ROC AUC: 0.4894
+[2024-05-21 16:32:05,170 INFO] Epoch:1, Snapshot:114; F1: 0.6783; Accuracy: 0.5380; Precision: 0.5358; Recall: 0.9241; ROC AUC: 0.5160
+[2024-05-21 16:32:06,232 INFO] Epoch:1, Snapshot:115; F1: 0.6190; Accuracy: 0.4720; Precision: 0.4709; Recall: 0.9032; ROC AUC: 0.4925
+[2024-05-21 16:32:07,233 INFO] Epoch:1, Snapshot:116; F1: 0.6356; Accuracy: 0.4910; Precision: 0.4912; Recall: 0.9006; ROC AUC: 0.4967
+[2024-05-21 16:32:08,296 INFO] Epoch:1, Snapshot:117; F1: 0.6145; Accuracy: 0.4680; Precision: 0.4690; Recall: 0.8908; ROC AUC: 0.4874
+[2024-05-21 16:32:09,327 INFO] Epoch:1, Snapshot:118; F1: 0.6586; Accuracy: 0.5190; Precision: 0.5231; Recall: 0.8889; ROC AUC: 0.5020
+[2024-05-21 16:32:10,343 INFO] Epoch:1, Snapshot:119; F1: 0.6371; Accuracy: 0.4930; Precision: 0.4906; Recall: 0.9082; ROC AUC: 0.5011
+[2024-05-21 16:32:11,344 INFO] Epoch:1, Snapshot:120; F1: 0.6170; Accuracy: 0.4650; Precision: 0.4721; Recall: 0.8905; ROC AUC: 0.4782
+[2024-05-21 16:32:12,297 INFO] Epoch:1, Snapshot:121; F1: 0.6457; Accuracy: 0.5040; Precision: 0.5006; Recall: 0.9095; ROC AUC: 0.5064
+[2024-05-21 16:32:13,204 INFO] Epoch:1, Snapshot:122; F1: 0.6768; Accuracy: 0.5340; Precision: 0.5398; Recall: 0.9071; ROC AUC: 0.5033
+[2024-05-21 16:32:14,235 INFO] Epoch:1, Snapshot:123; F1: 0.6272; Accuracy: 0.4770; Precision: 0.4803; Recall: 0.9035; ROC AUC: 0.4878
+[2024-05-21 16:32:14,235 INFO] Epoch:1, Snapshot: 19; Loss: 0.8484
+[2024-05-21 16:32:21,237 INFO] Epoch:1, Snapshot:37; F1: 0.7226; Accuracy: 0.5670; Precision: 0.5691; Recall: 0.9895; ROC AUC: 0.4982
+[2024-05-21 16:32:22,081 INFO] Epoch:1, Snapshot:38; F1: 0.6972; Accuracy: 0.5370; Precision: 0.5395; Recall: 0.9852; ROC AUC: 0.4970
+[2024-05-21 16:32:22,800 INFO] Epoch:1, Snapshot:39; F1: 0.6411; Accuracy: 0.4760; Precision: 0.4737; Recall: 0.9915; ROC AUC: 0.5033
+[2024-05-21 16:32:23,597 INFO] Epoch:1, Snapshot:40; F1: 0.6831; Accuracy: 0.5230; Precision: 0.5224; Recall: 0.9866; ROC AUC: 0.5027
+[2024-05-21 16:32:24,394 INFO] Epoch:1, Snapshot:41; F1: 0.6425; Accuracy: 0.4770; Precision: 0.4752; Recall: 0.9916; ROC AUC: 0.5024
+[2024-05-21 16:32:25,222 INFO] Epoch:1, Snapshot:42; F1: 0.6504; Accuracy: 0.4840; Precision: 0.4834; Recall: 0.9938; ROC AUC: 0.5008
+[2024-05-21 16:32:26,004 INFO] Epoch:1, Snapshot:43; F1: 0.6267; Accuracy: 0.4580; Precision: 0.4587; Recall: 0.9891; ROC AUC: 0.4973
+[2024-05-21 16:32:26,848 INFO] Epoch:1, Snapshot:44; F1: 0.7006; Accuracy: 0.5410; Precision: 0.5413; Recall: 0.9926; ROC AUC: 0.5007
+[2024-05-21 16:32:27,692 INFO] Epoch:1, Snapshot:45; F1: 0.6985; Accuracy: 0.5390; Precision: 0.5388; Recall: 0.9926; ROC AUC: 0.5017
+[2024-05-21 16:32:28,661 INFO] Epoch:1, Snapshot:46; F1: 0.6689; Accuracy: 0.5080; Precision: 0.5056; Recall: 0.9881; ROC AUC: 0.5051
+[2024-05-21 16:32:29,396 INFO] Epoch:1, Snapshot:47; F1: 0.6375; Accuracy: 0.4700; Precision: 0.4702; Recall: 0.9894; ROC AUC: 0.4985
+[2024-05-21 16:32:30,318 INFO] Epoch:1, Snapshot:48; F1: 0.6393; Accuracy: 0.4720; Precision: 0.4718; Recall: 0.9915; ROC AUC: 0.4996
+[2024-05-21 16:32:31,225 INFO] Epoch:1, Snapshot:49; F1: 0.6738; Accuracy: 0.5110; Precision: 0.5106; Recall: 0.9902; ROC AUC: 0.5012
+[2024-05-21 16:32:32,053 INFO] Epoch:1, Snapshot:50; F1: 0.6286; Accuracy: 0.4600; Precision: 0.4626; Recall: 0.9807; ROC AUC: 0.4932
+[2024-05-21 16:32:32,912 INFO] Epoch:1, Snapshot:51; F1: 0.6577; Accuracy: 0.4930; Precision: 0.4909; Recall: 0.9959; ROC AUC: 0.5038
+[2024-05-21 16:32:33,741 INFO] Epoch:1, Snapshot:52; F1: 0.6795; Accuracy: 0.5160; Precision: 0.5161; Recall: 0.9942; ROC AUC: 0.5002
+[2024-05-21 16:32:34,632 INFO] Epoch:1, Snapshot:53; F1: 0.6839; Accuracy: 0.5240; Precision: 0.5207; Recall: 0.9961; ROC AUC: 0.5074
+[2024-05-21 16:32:35,444 INFO] Epoch:1, Snapshot:54; F1: 0.6439; Accuracy: 0.4790; Precision: 0.4753; Recall: 0.9979; ROC AUC: 0.5065
+[2024-05-21 16:32:36,289 INFO] Epoch:1, Snapshot:55; F1: 0.6921; Accuracy: 0.5310; Precision: 0.5323; Recall: 0.9887; ROC AUC: 0.4987
+[2024-05-21 16:32:37,148 INFO] Epoch:1, Snapshot:56; F1: 0.6799; Accuracy: 0.5180; Precision: 0.5161; Recall: 0.9961; ROC AUC: 0.5042
+[2024-05-21 16:32:37,929 INFO] Epoch:1, Snapshot:57; F1: 0.6764; Accuracy: 0.5130; Precision: 0.5126; Recall: 0.9941; ROC AUC: 0.5012
+[2024-05-21 16:32:38,727 INFO] Epoch:1, Snapshot:58; F1: 0.6626; Accuracy: 0.4980; Precision: 0.4975; Recall: 0.9920; ROC AUC: 0.5009
+[2024-05-21 16:32:39,681 INFO] Epoch:1, Snapshot:59; F1: 0.6946; Accuracy: 0.5340; Precision: 0.5354; Recall: 0.9888; ROC AUC: 0.4987
+[2024-05-21 16:32:40,556 INFO] Epoch:1, Snapshot:60; F1: 0.6738; Accuracy: 0.5120; Precision: 0.5101; Recall: 0.9921; ROC AUC: 0.5042
+[2024-05-21 16:32:41,541 INFO] Epoch:1, Snapshot:61; F1: 0.6458; Accuracy: 0.4790; Precision: 0.4803; Recall: 0.9855; ROC AUC: 0.4966
+[2024-05-21 16:32:42,525 INFO] Epoch:1, Snapshot:62; F1: 0.6454; Accuracy: 0.4780; Precision: 0.4793; Recall: 0.9875; ROC AUC: 0.4967
+[2024-05-21 16:32:43,572 INFO] Epoch:1, Snapshot:63; F1: 0.6671; Accuracy: 0.5020; Precision: 0.5030; Recall: 0.9901; ROC AUC: 0.4981
+[2024-05-21 16:32:44,541 INFO] Epoch:1, Snapshot:64; F1: 0.6389; Accuracy: 0.4720; Precision: 0.4708; Recall: 0.9936; ROC AUC: 0.5015
+[2024-05-21 16:32:45,448 INFO] Epoch:1, Snapshot:65; F1: 0.6384; Accuracy: 0.4710; Precision: 0.4698; Recall: 0.9957; ROC AUC: 0.5016
+[2024-05-21 16:32:46,433 INFO] Epoch:1, Snapshot:66; F1: 0.7165; Accuracy: 0.5600; Precision: 0.5605; Recall: 0.9929; ROC AUC: 0.5010
+[2024-05-21 16:32:47,277 INFO] Epoch:1, Snapshot:67; F1: 0.6653; Accuracy: 0.5010; Precision: 0.5005; Recall: 0.9920; ROC AUC: 0.5010
+[2024-05-21 16:32:48,058 INFO] Epoch:1, Snapshot:68; F1: 0.6445; Accuracy: 0.4760; Precision: 0.4788; Recall: 0.9855; ROC AUC: 0.4937
+[2024-05-21 16:32:48,919 INFO] Epoch:1, Snapshot:69; F1: 0.6554; Accuracy: 0.4910; Precision: 0.4904; Recall: 0.9878; ROC AUC: 0.5007
+[2024-05-21 16:32:49,810 INFO] Epoch:1, Snapshot:70; F1: 0.6812; Accuracy: 0.5180; Precision: 0.5218; Recall: 0.9810; ROC AUC: 0.4936
+[2024-05-21 16:32:50,607 INFO] Epoch:1, Snapshot:71; F1: 0.6622; Accuracy: 0.4990; Precision: 0.4955; Recall: 0.9980; ROC AUC: 0.5069
+[2024-05-21 16:32:51,482 INFO] Epoch:1, Snapshot:72; F1: 0.6392; Accuracy: 0.4750; Precision: 0.4721; Recall: 0.9894; ROC AUC: 0.5041
+[2024-05-21 16:32:52,170 INFO] Epoch:1, Snapshot:73; F1: 0.6000; Accuracy: 0.4320; Precision: 0.4299; Recall: 0.9930; ROC AUC: 0.5018
+[2024-05-21 16:32:52,951 INFO] Epoch:1, Snapshot:74; F1: 0.6129; Accuracy: 0.4430; Precision: 0.4432; Recall: 0.9932; ROC AUC: 0.4984
+[2024-05-21 16:32:53,764 INFO] Epoch:1, Snapshot:75; F1: 0.6345; Accuracy: 0.4700; Precision: 0.4651; Recall: 0.9978; ROC AUC: 0.5082
+[2024-05-21 16:32:54,530 INFO] Epoch:1, Snapshot:76; F1: 0.6518; Accuracy: 0.4850; Precision: 0.4844; Recall: 0.9959; ROC AUC: 0.5008
+[2024-05-21 16:32:55,452 INFO] Epoch:1, Snapshot:77; F1: 0.6635; Accuracy: 0.5000; Precision: 0.5020; Recall: 0.9782; ROC AUC: 0.4961
+[2024-05-21 16:32:56,374 INFO] Epoch:1, Snapshot:78; F1: 0.7036; Accuracy: 0.5450; Precision: 0.5449; Recall: 0.9926; ROC AUC: 0.5018
+[2024-05-21 16:32:57,280 INFO] Epoch:1, Snapshot:79; F1: 0.6874; Accuracy: 0.5270; Precision: 0.5258; Recall: 0.9924; ROC AUC: 0.5035
+[2024-05-21 16:32:58,077 INFO] Epoch:1, Snapshot:80; F1: 0.6617; Accuracy: 0.4980; Precision: 0.4990; Recall: 0.9820; ROC AUC: 0.4980
+[2024-05-21 16:32:59,016 INFO] Epoch:1, Snapshot:81; F1: 0.6808; Accuracy: 0.5190; Precision: 0.5187; Recall: 0.9903; ROC AUC: 0.5014
+[2024-05-21 16:32:59,798 INFO] Epoch:1, Snapshot:82; F1: 0.6337; Accuracy: 0.4670; Precision: 0.4666; Recall: 0.9872; ROC AUC: 0.4992
+[2024-05-21 16:33:00,798 INFO] Epoch:1, Snapshot:83; F1: 0.6870; Accuracy: 0.5270; Precision: 0.5264; Recall: 0.9886; ROC AUC: 0.5027
+[2024-05-21 16:33:01,611 INFO] Epoch:1, Snapshot:84; F1: 0.6791; Accuracy: 0.5170; Precision: 0.5177; Recall: 0.9865; ROC AUC: 0.4995
+[2024-05-21 16:33:02,501 INFO] Epoch:1, Snapshot:85; F1: 0.6830; Accuracy: 0.5200; Precision: 0.5233; Recall: 0.9829; ROC AUC: 0.4946
+[2024-05-21 16:33:03,376 INFO] Epoch:1, Snapshot:86; F1: 0.6649; Accuracy: 0.5000; Precision: 0.5036; Recall: 0.9783; ROC AUC: 0.4932
+[2024-05-21 16:33:04,283 INFO] Epoch:1, Snapshot:87; F1: 0.6508; Accuracy: 0.4850; Precision: 0.4844; Recall: 0.9917; ROC AUC: 0.5007
+[2024-05-21 16:33:05,159 INFO] Epoch:1, Snapshot:88; F1: 0.6568; Accuracy: 0.4920; Precision: 0.4919; Recall: 0.9878; ROC AUC: 0.4998
+[2024-05-21 16:33:06,191 INFO] Epoch:1, Snapshot:89; F1: 0.7001; Accuracy: 0.5400; Precision: 0.5419; Recall: 0.9890; ROC AUC: 0.4978
+[2024-05-21 16:33:07,003 INFO] Epoch:1, Snapshot:90; F1: 0.6476; Accuracy: 0.4820; Precision: 0.4803; Recall: 0.9937; ROC AUC: 0.5026
+[2024-05-21 16:33:07,910 INFO] Epoch:1, Snapshot:91; F1: 0.7010; Accuracy: 0.5420; Precision: 0.5419; Recall: 0.9926; ROC AUC: 0.5017
+[2024-05-21 16:33:08,785 INFO] Epoch:1, Snapshot:92; F1: 0.6477; Accuracy: 0.4810; Precision: 0.4813; Recall: 0.9896; ROC AUC: 0.4987
+[2024-05-21 16:33:09,582 INFO] Epoch:1, Snapshot:93; F1: 0.6649; Accuracy: 0.4990; Precision: 0.5005; Recall: 0.9900; ROC AUC: 0.4970
+[2024-05-21 16:33:10,332 INFO] Epoch:1, Snapshot:94; F1: 0.6549; Accuracy: 0.4900; Precision: 0.4884; Recall: 0.9938; ROC AUC: 0.5028
+[2024-05-21 16:33:11,192 INFO] Epoch:1, Snapshot:95; F1: 0.6848; Accuracy: 0.5240; Precision: 0.5249; Recall: 0.9848; ROC AUC: 0.4997
+[2024-05-21 16:33:12,145 INFO] Epoch:1, Snapshot:96; F1: 0.6599; Accuracy: 0.4950; Precision: 0.4965; Recall: 0.9839; ROC AUC: 0.4969
+[2024-05-21 16:33:13,051 INFO] Epoch:1, Snapshot:97; F1: 0.6908; Accuracy: 0.5300; Precision: 0.5303; Recall: 0.9906; ROC AUC: 0.5006
+[2024-05-21 16:33:13,802 INFO] Epoch:1, Snapshot:98; F1: 0.6790; Accuracy: 0.5160; Precision: 0.5146; Recall: 0.9981; ROC AUC: 0.5031
+[2024-05-21 16:33:14,661 INFO] Epoch:1, Snapshot:99; F1: 0.6536; Accuracy: 0.4880; Precision: 0.4884; Recall: 0.9877; ROC AUC: 0.4988
+[2024-05-21 16:33:15,771 INFO] Epoch:1, Snapshot:100; F1: 0.6804; Accuracy: 0.5190; Precision: 0.5166; Recall: 0.9961; ROC AUC: 0.5053
+[2024-05-21 16:33:16,647 INFO] Epoch:1, Snapshot:101; F1: 0.6394; Accuracy: 0.4710; Precision: 0.4718; Recall: 0.9915; ROC AUC: 0.4977
+[2024-05-21 16:33:17,506 INFO] Epoch:1, Snapshot:102; F1: 0.6604; Accuracy: 0.4950; Precision: 0.4940; Recall: 0.9959; ROC AUC: 0.5019
+[2024-05-21 16:33:18,397 INFO] Epoch:1, Snapshot:103; F1: 0.6550; Accuracy: 0.4880; Precision: 0.4884; Recall: 0.9939; ROC AUC: 0.4989
+[2024-05-21 16:33:19,210 INFO] Epoch:1, Snapshot:104; F1: 0.6467; Accuracy: 0.4800; Precision: 0.4808; Recall: 0.9876; ROC AUC: 0.4976
+[2024-05-21 16:33:20,100 INFO] Epoch:1, Snapshot:105; F1: 0.6131; Accuracy: 0.4460; Precision: 0.4439; Recall: 0.9910; ROC AUC: 0.5018
+[2024-05-21 16:33:21,007 INFO] Epoch:1, Snapshot:106; F1: 0.5980; Accuracy: 0.4300; Precision: 0.4287; Recall: 0.9883; ROC AUC: 0.4994
+[2024-05-21 16:33:21,882 INFO] Epoch:1, Snapshot:107; F1: 0.6481; Accuracy: 0.4820; Precision: 0.4813; Recall: 0.9917; ROC AUC: 0.5007
+[2024-05-21 16:33:22,883 INFO] Epoch:1, Snapshot:108; F1: 0.6733; Accuracy: 0.5100; Precision: 0.5106; Recall: 0.9883; ROC AUC: 0.4992
+[2024-05-21 16:33:23,820 INFO] Epoch:1, Snapshot:109; F1: 0.6604; Accuracy: 0.4960; Precision: 0.4949; Recall: 0.9919; ROC AUC: 0.5019
+[2024-05-21 16:33:24,649 INFO] Epoch:1, Snapshot:110; F1: 0.6635; Accuracy: 0.4980; Precision: 0.4990; Recall: 0.9900; ROC AUC: 0.4980
+[2024-05-21 16:33:25,493 INFO] Epoch:1, Snapshot:111; F1: 0.6370; Accuracy: 0.4690; Precision: 0.4702; Recall: 0.9873; ROC AUC: 0.4965
+[2024-05-21 16:33:26,540 INFO] Epoch:1, Snapshot:112; F1: 0.6698; Accuracy: 0.5090; Precision: 0.5066; Recall: 0.9881; ROC AUC: 0.5051
+[2024-05-21 16:33:27,430 INFO] Epoch:1, Snapshot:113; F1: 0.6563; Accuracy: 0.4910; Precision: 0.4894; Recall: 0.9959; ROC AUC: 0.5028
+[2024-05-21 16:33:28,524 INFO] Epoch:1, Snapshot:114; F1: 0.6899; Accuracy: 0.5290; Precision: 0.5282; Recall: 0.9943; ROC AUC: 0.5024
+[2024-05-21 16:33:29,603 INFO] Epoch:1, Snapshot:115; F1: 0.6427; Accuracy: 0.4740; Precision: 0.4744; Recall: 0.9958; ROC AUC: 0.4988
+[2024-05-21 16:33:30,603 INFO] Epoch:1, Snapshot:116; F1: 0.6577; Accuracy: 0.4930; Precision: 0.4929; Recall: 0.9878; ROC AUC: 0.4998
+[2024-05-21 16:33:31,650 INFO] Epoch:1, Snapshot:117; F1: 0.6453; Accuracy: 0.4800; Precision: 0.4778; Recall: 0.9937; ROC AUC: 0.5035
+[2024-05-21 16:33:32,713 INFO] Epoch:1, Snapshot:118; F1: 0.6830; Accuracy: 0.5210; Precision: 0.5217; Recall: 0.9885; ROC AUC: 0.4995
+[2024-05-21 16:33:33,682 INFO] Epoch:1, Snapshot:119; F1: 0.6526; Accuracy: 0.4880; Precision: 0.4888; Recall: 0.9816; ROC AUC: 0.4977
+[2024-05-21 16:33:34,682 INFO] Epoch:1, Snapshot:120; F1: 0.6499; Accuracy: 0.4850; Precision: 0.4843; Recall: 0.9876; ROC AUC: 0.5006
+[2024-05-21 16:33:35,620 INFO] Epoch:1, Snapshot:121; F1: 0.6644; Accuracy: 0.4990; Precision: 0.4980; Recall: 0.9980; ROC AUC: 0.5020
+[2024-05-21 16:33:36,496 INFO] Epoch:1, Snapshot:122; F1: 0.6942; Accuracy: 0.5330; Precision: 0.5359; Recall: 0.9851; ROC AUC: 0.4958
+[2024-05-21 16:33:37,480 INFO] Epoch:1, Snapshot:123; F1: 0.6523; Accuracy: 0.4850; Precision: 0.4859; Recall: 0.9918; ROC AUC: 0.4978
+[2024-05-21 16:33:37,496 INFO] Epoch:1, Snapshot: 20; Loss: 0.8206
+[2024-05-21 16:33:44,591 INFO] Epoch:1, Snapshot:37; F1: 0.7037; Accuracy: 0.5630; Precision: 0.5735; Recall: 0.9105; ROC AUC: 0.5064
+[2024-05-21 16:33:45,450 INFO] Epoch:1, Snapshot:38; F1: 0.6708; Accuracy: 0.5240; Precision: 0.5359; Recall: 0.8965; ROC AUC: 0.4907
+[2024-05-21 16:33:46,170 INFO] Epoch:1, Snapshot:39; F1: 0.6038; Accuracy: 0.4620; Precision: 0.4628; Recall: 0.8686; ROC AUC: 0.4836
+[2024-05-21 16:33:46,951 INFO] Epoch:1, Snapshot:40; F1: 0.6473; Accuracy: 0.5030; Precision: 0.5135; Recall: 0.8752; ROC AUC: 0.4867
+[2024-05-21 16:33:47,779 INFO] Epoch:1, Snapshot:41; F1: 0.6230; Accuracy: 0.4760; Precision: 0.4727; Recall: 0.9135; ROC AUC: 0.4976
+[2024-05-21 16:33:48,610 INFO] Epoch:1, Snapshot:42; F1: 0.6340; Accuracy: 0.4920; Precision: 0.4862; Recall: 0.9110; ROC AUC: 0.5058
+[2024-05-21 16:33:49,390 INFO] Epoch:1, Snapshot:43; F1: 0.6130; Accuracy: 0.4710; Precision: 0.4620; Recall: 0.9109; ROC AUC: 0.5036
+[2024-05-21 16:33:50,218 INFO] Epoch:1, Snapshot:44; F1: 0.6741; Accuracy: 0.5320; Precision: 0.5408; Recall: 0.8946; ROC AUC: 0.4996
+[2024-05-21 16:33:51,171 INFO] Epoch:1, Snapshot:45; F1: 0.6818; Accuracy: 0.5390; Precision: 0.5423; Recall: 0.9182; ROC AUC: 0.5078
+[2024-05-21 16:33:52,093 INFO] Epoch:1, Snapshot:46; F1: 0.6455; Accuracy: 0.5080; Precision: 0.5062; Recall: 0.8907; ROC AUC: 0.5057
+[2024-05-21 16:33:52,828 INFO] Epoch:1, Snapshot:47; F1: 0.6073; Accuracy: 0.4620; Precision: 0.4627; Recall: 0.8832; ROC AUC: 0.4851
+[2024-05-21 16:33:53,813 INFO] Epoch:1, Snapshot:48; F1: 0.6174; Accuracy: 0.4720; Precision: 0.4692; Recall: 0.9025; ROC AUC: 0.4948
+[2024-05-21 16:33:54,704 INFO] Epoch:1, Snapshot:49; F1: 0.6610; Accuracy: 0.5220; Precision: 0.5178; Recall: 0.9137; ROC AUC: 0.5140
+[2024-05-21 16:33:55,579 INFO] Epoch:1, Snapshot:50; F1: 0.6141; Accuracy: 0.4760; Precision: 0.4675; Recall: 0.8948; ROC AUC: 0.5027
+[2024-05-21 16:33:56,423 INFO] Epoch:1, Snapshot:51; F1: 0.6340; Accuracy: 0.4920; Precision: 0.4894; Recall: 0.8998; ROC AUC: 0.5008
+[2024-05-21 16:33:57,298 INFO] Epoch:1, Snapshot:52; F1: 0.6587; Accuracy: 0.5150; Precision: 0.5171; Recall: 0.9070; ROC AUC: 0.5020
+[2024-05-21 16:33:58,189 INFO] Epoch:1, Snapshot:53; F1: 0.6521; Accuracy: 0.5050; Precision: 0.5121; Recall: 0.8975; ROC AUC: 0.4912
+[2024-05-21 16:33:59,033 INFO] Epoch:1, Snapshot:54; F1: 0.6136; Accuracy: 0.4710; Precision: 0.4682; Recall: 0.8898; ROC AUC: 0.4932
+[2024-05-21 16:33:59,877 INFO] Epoch:1, Snapshot:55; F1: 0.6727; Accuracy: 0.5280; Precision: 0.5336; Recall: 0.9099; ROC AUC: 0.5010
+[2024-05-21 16:34:00,705 INFO] Epoch:1, Snapshot:56; F1: 0.6457; Accuracy: 0.5040; Precision: 0.5102; Recall: 0.8794; ROC AUC: 0.4932
+[2024-05-21 16:34:01,502 INFO] Epoch:1, Snapshot:57; F1: 0.6653; Accuracy: 0.5240; Precision: 0.5198; Recall: 0.9238; ROC AUC: 0.5142
+[2024-05-21 16:34:02,299 INFO] Epoch:1, Snapshot:58; F1: 0.6368; Accuracy: 0.4970; Precision: 0.4966; Recall: 0.8873; ROC AUC: 0.4993
+[2024-05-21 16:34:03,253 INFO] Epoch:1, Snapshot:59; F1: 0.6653; Accuracy: 0.5210; Precision: 0.5318; Recall: 0.8881; ROC AUC: 0.4925
+[2024-05-21 16:34:04,097 INFO] Epoch:1, Snapshot:60; F1: 0.6553; Accuracy: 0.5160; Precision: 0.5134; Recall: 0.9055; ROC AUC: 0.5097
+[2024-05-21 16:34:05,081 INFO] Epoch:1, Snapshot:61; F1: 0.6294; Accuracy: 0.4890; Precision: 0.4838; Recall: 0.9004; ROC AUC: 0.5033
+[2024-05-21 16:34:06,066 INFO] Epoch:1, Snapshot:62; F1: 0.6243; Accuracy: 0.4740; Precision: 0.4755; Recall: 0.9085; ROC AUC: 0.4899
+[2024-05-21 16:34:07,098 INFO] Epoch:1, Snapshot:63; F1: 0.6576; Accuracy: 0.5210; Precision: 0.5140; Recall: 0.9127; ROC AUC: 0.5178
+[2024-05-21 16:34:08,051 INFO] Epoch:1, Snapshot:64; F1: 0.6291; Accuracy: 0.4930; Precision: 0.4794; Recall: 0.9149; ROC AUC: 0.5169
+[2024-05-21 16:34:08,927 INFO] Epoch:1, Snapshot:65; F1: 0.6189; Accuracy: 0.4790; Precision: 0.4710; Recall: 0.9019; ROC AUC: 0.5037
+[2024-05-21 16:34:09,881 INFO] Epoch:1, Snapshot:66; F1: 0.6863; Accuracy: 0.5410; Precision: 0.5559; Recall: 0.8964; ROC AUC: 0.4925
+[2024-05-21 16:34:10,725 INFO] Epoch:1, Snapshot:67; F1: 0.6455; Accuracy: 0.4970; Precision: 0.4984; Recall: 0.9160; ROC AUC: 0.4970
+[2024-05-21 16:34:11,522 INFO] Epoch:1, Snapshot:68; F1: 0.6139; Accuracy: 0.4680; Precision: 0.4721; Recall: 0.8776; ROC AUC: 0.4822
+[2024-05-21 16:34:12,365 INFO] Epoch:1, Snapshot:69; F1: 0.6476; Accuracy: 0.5070; Precision: 0.4983; Recall: 0.9245; ROC AUC: 0.5152
+[2024-05-21 16:34:13,272 INFO] Epoch:1, Snapshot:70; F1: 0.6793; Accuracy: 0.5430; Precision: 0.5378; Recall: 0.9219; ROC AUC: 0.5231
+[2024-05-21 16:34:14,116 INFO] Epoch:1, Snapshot:71; F1: 0.6367; Accuracy: 0.4910; Precision: 0.4906; Recall: 0.9065; ROC AUC: 0.4975
+[2024-05-21 16:34:15,022 INFO] Epoch:1, Snapshot:72; F1: 0.6127; Accuracy: 0.4690; Precision: 0.4661; Recall: 0.8936; ROC AUC: 0.4930
+[2024-05-21 16:34:15,726 INFO] Epoch:1, Snapshot:73; F1: 0.5699; Accuracy: 0.4280; Precision: 0.4206; Recall: 0.8834; ROC AUC: 0.4846
+[2024-05-21 16:34:16,491 INFO] Epoch:1, Snapshot:74; F1: 0.6073; Accuracy: 0.4800; Precision: 0.4568; Recall: 0.9054; ROC AUC: 0.5228
+[2024-05-21 16:34:17,335 INFO] Epoch:1, Snapshot:75; F1: 0.6056; Accuracy: 0.4620; Precision: 0.4574; Recall: 0.8959; ROC AUC: 0.4934
+[2024-05-21 16:34:18,086 INFO] Epoch:1, Snapshot:76; F1: 0.6294; Accuracy: 0.4830; Precision: 0.4819; Recall: 0.9070; ROC AUC: 0.4961
+[2024-05-21 16:34:19,008 INFO] Epoch:1, Snapshot:77; F1: 0.6383; Accuracy: 0.4900; Precision: 0.4967; Recall: 0.8929; ROC AUC: 0.4868
+[2024-05-21 16:34:19,899 INFO] Epoch:1, Snapshot:78; F1: 0.6625; Accuracy: 0.5150; Precision: 0.5330; Recall: 0.8750; ROC AUC: 0.4803
+[2024-05-21 16:34:20,774 INFO] Epoch:1, Snapshot:79; F1: 0.6633; Accuracy: 0.5270; Precision: 0.5289; Recall: 0.8893; ROC AUC: 0.5087
+[2024-05-21 16:34:21,587 INFO] Epoch:1, Snapshot:80; F1: 0.6368; Accuracy: 0.4900; Precision: 0.4945; Recall: 0.8940; ROC AUC: 0.4900
+[2024-05-21 16:34:22,571 INFO] Epoch:1, Snapshot:81; F1: 0.6473; Accuracy: 0.5020; Precision: 0.5112; Recall: 0.8822; ROC AUC: 0.4878
+[2024-05-21 16:34:23,415 INFO] Epoch:1, Snapshot:82; F1: 0.6090; Accuracy: 0.4670; Precision: 0.4632; Recall: 0.8887; ROC AUC: 0.4931
+[2024-05-21 16:34:24,399 INFO] Epoch:1, Snapshot:83; F1: 0.6634; Accuracy: 0.5220; Precision: 0.5263; Recall: 0.8971; ROC AUC: 0.5023
+[2024-05-21 16:34:25,243 INFO] Epoch:1, Snapshot:84; F1: 0.6596; Accuracy: 0.5150; Precision: 0.5182; Recall: 0.9073; ROC AUC: 0.5003
+[2024-05-21 16:34:26,103 INFO] Epoch:1, Snapshot:85; F1: 0.6625; Accuracy: 0.5170; Precision: 0.5238; Recall: 0.9011; ROC AUC: 0.4959
+[2024-05-21 16:34:26,963 INFO] Epoch:1, Snapshot:86; F1: 0.6369; Accuracy: 0.4960; Precision: 0.5017; Recall: 0.8718; ROC AUC: 0.4907
+[2024-05-21 16:34:27,853 INFO] Epoch:1, Snapshot:87; F1: 0.6304; Accuracy: 0.4900; Precision: 0.4855; Recall: 0.8988; ROC AUC: 0.5027
+[2024-05-21 16:34:28,731 INFO] Epoch:1, Snapshot:88; F1: 0.6332; Accuracy: 0.4880; Precision: 0.4889; Recall: 0.8984; ROC AUC: 0.4945
+[2024-05-21 16:34:29,744 INFO] Epoch:1, Snapshot:89; F1: 0.6842; Accuracy: 0.5440; Precision: 0.5483; Recall: 0.9098; ROC AUC: 0.5096
+[2024-05-21 16:34:30,526 INFO] Epoch:1, Snapshot:90; F1: 0.6220; Accuracy: 0.4700; Precision: 0.4724; Recall: 0.9102; ROC AUC: 0.4877
+[2024-05-21 16:34:31,447 INFO] Epoch:1, Snapshot:91; F1: 0.6667; Accuracy: 0.5240; Precision: 0.5366; Recall: 0.8799; ROC AUC: 0.4922
+[2024-05-21 16:34:32,338 INFO] Epoch:1, Snapshot:92; F1: 0.6171; Accuracy: 0.4700; Precision: 0.4734; Recall: 0.8859; ROC AUC: 0.4845
+[2024-05-21 16:34:33,182 INFO] Epoch:1, Snapshot:93; F1: 0.6302; Accuracy: 0.4790; Precision: 0.4895; Recall: 0.8845; ROC AUC: 0.4774
+[2024-05-21 16:34:33,963 INFO] Epoch:1, Snapshot:94; F1: 0.6342; Accuracy: 0.4970; Precision: 0.4910; Recall: 0.8953; ROC AUC: 0.5071
+[2024-05-21 16:34:34,823 INFO] Epoch:1, Snapshot:95; F1: 0.6695; Accuracy: 0.5270; Precision: 0.5287; Recall: 0.9124; ROC AUC: 0.5067
+[2024-05-21 16:34:35,761 INFO] Epoch:1, Snapshot:96; F1: 0.6427; Accuracy: 0.5040; Precision: 0.5011; Recall: 0.8956; ROC AUC: 0.5056
+[2024-05-21 16:34:36,683 INFO] Epoch:1, Snapshot:97; F1: 0.6601; Accuracy: 0.5150; Precision: 0.5251; Recall: 0.8887; ROC AUC: 0.4911
+[2024-05-21 16:34:37,449 INFO] Epoch:1, Snapshot:98; F1: 0.6515; Accuracy: 0.5090; Precision: 0.5123; Recall: 0.8947; ROC AUC: 0.4987
+[2024-05-21 16:34:38,309 INFO] Epoch:1, Snapshot:99; F1: 0.6325; Accuracy: 0.4910; Precision: 0.4888; Recall: 0.8957; ROC AUC: 0.4997
+[2024-05-21 16:34:39,418 INFO] Epoch:1, Snapshot:100; F1: 0.6498; Accuracy: 0.5030; Precision: 0.5094; Recall: 0.8969; ROC AUC: 0.4917
+[2024-05-21 16:34:40,309 INFO] Epoch:1, Snapshot:101; F1: 0.6121; Accuracy: 0.4740; Precision: 0.4700; Recall: 0.8774; ROC AUC: 0.4947
+[2024-05-21 16:34:41,169 INFO] Epoch:1, Snapshot:102; F1: 0.6525; Accuracy: 0.5110; Precision: 0.5022; Recall: 0.9310; ROC AUC: 0.5168
+[2024-05-21 16:34:42,028 INFO] Epoch:1, Snapshot:103; F1: 0.6367; Accuracy: 0.4910; Precision: 0.4890; Recall: 0.9121; ROC AUC: 0.5001
+[2024-05-21 16:34:42,825 INFO] Epoch:1, Snapshot:104; F1: 0.6217; Accuracy: 0.4780; Precision: 0.4777; Recall: 0.8900; ROC AUC: 0.4923
+[2024-05-21 16:34:43,700 INFO] Epoch:1, Snapshot:105; F1: 0.5878; Accuracy: 0.4460; Precision: 0.4384; Recall: 0.8916; ROC AUC: 0.4916
+[2024-05-21 16:34:44,622 INFO] Epoch:1, Snapshot:106; F1: 0.5777; Accuracy: 0.4400; Precision: 0.4270; Recall: 0.8928; ROC AUC: 0.4963
+[2024-05-21 16:34:45,514 INFO] Epoch:1, Snapshot:107; F1: 0.6332; Accuracy: 0.4880; Precision: 0.4831; Recall: 0.9189; ROC AUC: 0.5038
+[2024-05-21 16:34:46,514 INFO] Epoch:1, Snapshot:108; F1: 0.6552; Accuracy: 0.5170; Precision: 0.5157; Recall: 0.8982; ROC AUC: 0.5084
+[2024-05-21 16:34:47,436 INFO] Epoch:1, Snapshot:109; F1: 0.6204; Accuracy: 0.4750; Precision: 0.4826; Recall: 0.8684; ROC AUC: 0.4797
+[2024-05-21 16:34:48,280 INFO] Epoch:1, Snapshot:110; F1: 0.6490; Accuracy: 0.5100; Precision: 0.5056; Recall: 0.9060; ROC AUC: 0.5100
+[2024-05-21 16:34:49,124 INFO] Epoch:1, Snapshot:111; F1: 0.6267; Accuracy: 0.4890; Precision: 0.4783; Recall: 0.9089; ROC AUC: 0.5113
+[2024-05-21 16:34:50,156 INFO] Epoch:1, Snapshot:112; F1: 0.6572; Accuracy: 0.5180; Precision: 0.5122; Recall: 0.9167; ROC AUC: 0.5148
+[2024-05-21 16:34:51,062 INFO] Epoch:1, Snapshot:113; F1: 0.6326; Accuracy: 0.4900; Precision: 0.4878; Recall: 0.8996; ROC AUC: 0.4996
+[2024-05-21 16:34:52,156 INFO] Epoch:1, Snapshot:114; F1: 0.6746; Accuracy: 0.5350; Precision: 0.5344; Recall: 0.9146; ROC AUC: 0.5133
+[2024-05-21 16:34:53,235 INFO] Epoch:1, Snapshot:115; F1: 0.6061; Accuracy: 0.4580; Precision: 0.4628; Recall: 0.8779; ROC AUC: 0.4780
+[2024-05-21 16:34:54,219 INFO] Epoch:1, Snapshot:116; F1: 0.6341; Accuracy: 0.4900; Precision: 0.4906; Recall: 0.8966; ROC AUC: 0.4956
+[2024-05-21 16:34:55,329 INFO] Epoch:1, Snapshot:117; F1: 0.6087; Accuracy: 0.4600; Precision: 0.4646; Recall: 0.8824; ROC AUC: 0.4793
+[2024-05-21 16:34:56,298 INFO] Epoch:1, Snapshot:118; F1: 0.6582; Accuracy: 0.5130; Precision: 0.5194; Recall: 0.8985; ROC AUC: 0.4953
+[2024-05-21 16:34:57,298 INFO] Epoch:1, Snapshot:119; F1: 0.6306; Accuracy: 0.4880; Precision: 0.4877; Recall: 0.8918; ROC AUC: 0.4959
+[2024-05-21 16:34:58,361 INFO] Epoch:1, Snapshot:120; F1: 0.6293; Accuracy: 0.4840; Precision: 0.4824; Recall: 0.9050; ROC AUC: 0.4971
+[2024-05-21 16:34:59,330 INFO] Epoch:1, Snapshot:121; F1: 0.6289; Accuracy: 0.4820; Precision: 0.4883; Recall: 0.8833; ROC AUC: 0.4844
+[2024-05-21 16:35:00,239 INFO] Epoch:1, Snapshot:122; F1: 0.6759; Accuracy: 0.5310; Precision: 0.5380; Recall: 0.9089; ROC AUC: 0.4999
+[2024-05-21 16:35:01,252 INFO] Epoch:1, Snapshot:123; F1: 0.6196; Accuracy: 0.4720; Precision: 0.4772; Recall: 0.8830; ROC AUC: 0.4824
+[2024-05-21 16:35:01,268 INFO] Epoch:1, Snapshot: 21; Loss: 0.7877
+[2024-05-21 16:35:08,440 INFO] Epoch:1, Snapshot:37; F1: 0.7262; Accuracy: 0.5710; Precision: 0.5707; Recall: 0.9982; ROC AUC: 0.5014
+[2024-05-21 16:35:09,300 INFO] Epoch:1, Snapshot:38; F1: 0.7010; Accuracy: 0.5410; Precision: 0.5412; Recall: 0.9945; ROC AUC: 0.5005
+[2024-05-21 16:35:10,035 INFO] Epoch:1, Snapshot:39; F1: 0.6403; Accuracy: 0.4730; Precision: 0.4723; Recall: 0.9936; ROC AUC: 0.5006
+[2024-05-21 16:35:10,785 INFO] Epoch:1, Snapshot:40; F1: 0.6839; Accuracy: 0.5220; Precision: 0.5217; Recall: 0.9923; ROC AUC: 0.5014
+[2024-05-21 16:35:11,551 INFO] Epoch:1, Snapshot:41; F1: 0.6457; Accuracy: 0.4820; Precision: 0.4777; Recall: 0.9958; ROC AUC: 0.5074
+[2024-05-21 16:35:12,379 INFO] Epoch:1, Snapshot:42; F1: 0.6427; Accuracy: 0.4740; Precision: 0.4783; Recall: 0.9793; ROC AUC: 0.4906
+[2024-05-21 16:35:13,223 INFO] Epoch:1, Snapshot:43; F1: 0.6281; Accuracy: 0.4600; Precision: 0.4597; Recall: 0.9913; ROC AUC: 0.4994
+[2024-05-21 16:35:14,051 INFO] Epoch:1, Snapshot:44; F1: 0.7002; Accuracy: 0.5410; Precision: 0.5414; Recall: 0.9908; ROC AUC: 0.5008
+[2024-05-21 16:35:14,895 INFO] Epoch:1, Snapshot:45; F1: 0.6968; Accuracy: 0.5370; Precision: 0.5379; Recall: 0.9888; ROC AUC: 0.4998
+[2024-05-21 16:35:15,770 INFO] Epoch:1, Snapshot:46; F1: 0.6644; Accuracy: 0.4990; Precision: 0.5010; Recall: 0.9861; ROC AUC: 0.4961
+[2024-05-21 16:35:16,505 INFO] Epoch:1, Snapshot:47; F1: 0.6366; Accuracy: 0.4690; Precision: 0.4697; Recall: 0.9873; ROC AUC: 0.4974
+[2024-05-21 16:35:17,427 INFO] Epoch:1, Snapshot:48; F1: 0.6379; Accuracy: 0.4720; Precision: 0.4716; Recall: 0.9852; ROC AUC: 0.4992
+[2024-05-21 16:35:18,302 INFO] Epoch:1, Snapshot:49; F1: 0.6755; Accuracy: 0.5120; Precision: 0.5111; Recall: 0.9961; ROC AUC: 0.5021
+[2024-05-21 16:35:19,115 INFO] Epoch:1, Snapshot:50; F1: 0.6347; Accuracy: 0.4670; Precision: 0.4663; Recall: 0.9936; ROC AUC: 0.5005
+[2024-05-21 16:35:19,959 INFO] Epoch:1, Snapshot:51; F1: 0.6572; Accuracy: 0.4920; Precision: 0.4904; Recall: 0.9959; ROC AUC: 0.5028
+[2024-05-21 16:35:20,819 INFO] Epoch:1, Snapshot:52; F1: 0.6808; Accuracy: 0.5190; Precision: 0.5177; Recall: 0.9942; ROC AUC: 0.5033
+[2024-05-21 16:35:21,710 INFO] Epoch:1, Snapshot:53; F1: 0.6768; Accuracy: 0.5120; Precision: 0.5146; Recall: 0.9884; ROC AUC: 0.4952
+[2024-05-21 16:35:22,538 INFO] Epoch:1, Snapshot:54; F1: 0.6370; Accuracy: 0.4690; Precision: 0.4702; Recall: 0.9873; ROC AUC: 0.4965
+[2024-05-21 16:35:23,382 INFO] Epoch:1, Snapshot:55; F1: 0.6955; Accuracy: 0.5350; Precision: 0.5342; Recall: 0.9962; ROC AUC: 0.5024
+[2024-05-21 16:35:24,226 INFO] Epoch:1, Snapshot:56; F1: 0.6773; Accuracy: 0.5150; Precision: 0.5147; Recall: 0.9903; ROC AUC: 0.5013
+[2024-05-21 16:35:25,007 INFO] Epoch:1, Snapshot:57; F1: 0.6751; Accuracy: 0.5120; Precision: 0.5121; Recall: 0.9902; ROC AUC: 0.5002
+[2024-05-21 16:35:25,804 INFO] Epoch:1, Snapshot:58; F1: 0.6613; Accuracy: 0.4960; Precision: 0.4965; Recall: 0.9899; ROC AUC: 0.4989
+[2024-05-21 16:35:26,742 INFO] Epoch:1, Snapshot:59; F1: 0.6938; Accuracy: 0.5330; Precision: 0.5349; Recall: 0.9869; ROC AUC: 0.4978
+[2024-05-21 16:35:27,617 INFO] Epoch:1, Snapshot:60; F1: 0.6724; Accuracy: 0.5090; Precision: 0.5086; Recall: 0.9921; ROC AUC: 0.5011
+[2024-05-21 16:35:28,633 INFO] Epoch:1, Snapshot:61; F1: 0.6499; Accuracy: 0.4840; Precision: 0.4829; Recall: 0.9938; ROC AUC: 0.5017
+[2024-05-21 16:35:29,618 INFO] Epoch:1, Snapshot:62; F1: 0.6477; Accuracy: 0.4810; Precision: 0.4808; Recall: 0.9917; ROC AUC: 0.4997
+[2024-05-21 16:35:30,681 INFO] Epoch:1, Snapshot:63; F1: 0.6658; Accuracy: 0.5020; Precision: 0.5030; Recall: 0.9841; ROC AUC: 0.4981
+[2024-05-21 16:35:31,634 INFO] Epoch:1, Snapshot:64; F1: 0.6389; Accuracy: 0.4720; Precision: 0.4708; Recall: 0.9936; ROC AUC: 0.5015
+[2024-05-21 16:35:32,509 INFO] Epoch:1, Snapshot:65; F1: 0.6351; Accuracy: 0.4680; Precision: 0.4681; Recall: 0.9872; ROC AUC: 0.4983
+[2024-05-21 16:35:33,541 INFO] Epoch:1, Snapshot:66; F1: 0.7120; Accuracy: 0.5550; Precision: 0.5584; Recall: 0.9821; ROC AUC: 0.4968
+[2024-05-21 16:35:34,354 INFO] Epoch:1, Snapshot:67; F1: 0.6689; Accuracy: 0.5060; Precision: 0.5030; Recall: 0.9980; ROC AUC: 0.5060
+[2024-05-21 16:35:35,151 INFO] Epoch:1, Snapshot:68; F1: 0.6490; Accuracy: 0.4830; Precision: 0.4823; Recall: 0.9917; ROC AUC: 0.5007
+[2024-05-21 16:35:35,995 INFO] Epoch:1, Snapshot:69; F1: 0.6572; Accuracy: 0.4920; Precision: 0.4909; Recall: 0.9939; ROC AUC: 0.5018
+[2024-05-21 16:35:36,918 INFO] Epoch:1, Snapshot:70; F1: 0.6865; Accuracy: 0.5250; Precision: 0.5253; Recall: 0.9905; ROC AUC: 0.5005
+[2024-05-21 16:35:37,746 INFO] Epoch:1, Snapshot:71; F1: 0.6554; Accuracy: 0.4900; Precision: 0.4909; Recall: 0.9858; ROC AUC: 0.4978
+[2024-05-21 16:35:38,608 INFO] Epoch:1, Snapshot:72; F1: 0.6346; Accuracy: 0.4680; Precision: 0.4686; Recall: 0.9830; ROC AUC: 0.4971
+[2024-05-21 16:35:39,309 INFO] Epoch:1, Snapshot:73; F1: 0.6007; Accuracy: 0.4350; Precision: 0.4310; Recall: 0.9907; ROC AUC: 0.5041
+[2024-05-21 16:35:40,091 INFO] Epoch:1, Snapshot:74; F1: 0.6136; Accuracy: 0.4470; Precision: 0.4448; Recall: 0.9887; ROC AUC: 0.5016
+[2024-05-21 16:35:40,888 INFO] Epoch:1, Snapshot:75; F1: 0.6299; Accuracy: 0.4630; Precision: 0.4616; Recall: 0.9913; ROC AUC: 0.5012
+[2024-05-21 16:35:41,654 INFO] Epoch:1, Snapshot:76; F1: 0.6477; Accuracy: 0.4800; Precision: 0.4819; Recall: 0.9876; ROC AUC: 0.4957
+[2024-05-21 16:35:42,560 INFO] Epoch:1, Snapshot:77; F1: 0.6716; Accuracy: 0.5090; Precision: 0.5066; Recall: 0.9960; ROC AUC: 0.5051
+[2024-05-21 16:35:43,466 INFO] Epoch:1, Snapshot:78; F1: 0.7014; Accuracy: 0.5420; Precision: 0.5434; Recall: 0.9890; ROC AUC: 0.4989
+[2024-05-21 16:35:44,373 INFO] Epoch:1, Snapshot:79; F1: 0.6839; Accuracy: 0.5220; Precision: 0.5233; Recall: 0.9866; ROC AUC: 0.4986
+[2024-05-21 16:35:45,186 INFO] Epoch:1, Snapshot:80; F1: 0.6658; Accuracy: 0.5020; Precision: 0.5010; Recall: 0.9920; ROC AUC: 0.5020
+[2024-05-21 16:35:46,123 INFO] Epoch:1, Snapshot:81; F1: 0.6804; Accuracy: 0.5190; Precision: 0.5187; Recall: 0.9884; ROC AUC: 0.5015
+[2024-05-21 16:35:46,936 INFO] Epoch:1, Snapshot:82; F1: 0.6347; Accuracy: 0.4670; Precision: 0.4667; Recall: 0.9914; ROC AUC: 0.4995
+[2024-05-21 16:35:47,952 INFO] Epoch:1, Snapshot:83; F1: 0.6869; Accuracy: 0.5260; Precision: 0.5258; Recall: 0.9905; ROC AUC: 0.5016
+[2024-05-21 16:35:48,889 INFO] Epoch:1, Snapshot:84; F1: 0.6808; Accuracy: 0.5190; Precision: 0.5187; Recall: 0.9903; ROC AUC: 0.5014
+[2024-05-21 16:35:49,734 INFO] Epoch:1, Snapshot:85; F1: 0.6891; Accuracy: 0.5290; Precision: 0.5278; Recall: 0.9924; ROC AUC: 0.5036
+[2024-05-21 16:35:50,593 INFO] Epoch:1, Snapshot:86; F1: 0.6676; Accuracy: 0.5020; Precision: 0.5045; Recall: 0.9862; ROC AUC: 0.4951
+[2024-05-21 16:35:51,531 INFO] Epoch:1, Snapshot:87; F1: 0.6486; Accuracy: 0.4820; Precision: 0.4828; Recall: 0.9876; ROC AUC: 0.4977
+[2024-05-21 16:35:52,390 INFO] Epoch:1, Snapshot:88; F1: 0.6563; Accuracy: 0.4910; Precision: 0.4914; Recall: 0.9878; ROC AUC: 0.4988
+[2024-05-21 16:35:53,406 INFO] Epoch:1, Snapshot:89; F1: 0.7019; Accuracy: 0.5430; Precision: 0.5434; Recall: 0.9908; ROC AUC: 0.5009
+[2024-05-21 16:35:54,187 INFO] Epoch:1, Snapshot:90; F1: 0.6445; Accuracy: 0.4760; Precision: 0.4774; Recall: 0.9916; ROC AUC: 0.4968
+[2024-05-21 16:35:55,094 INFO] Epoch:1, Snapshot:91; F1: 0.6997; Accuracy: 0.5400; Precision: 0.5409; Recall: 0.9908; ROC AUC: 0.4997
+[2024-05-21 16:35:55,954 INFO] Epoch:1, Snapshot:92; F1: 0.6476; Accuracy: 0.4830; Precision: 0.4822; Recall: 0.9855; ROC AUC: 0.5005
+[2024-05-21 16:35:56,751 INFO] Epoch:1, Snapshot:93; F1: 0.6693; Accuracy: 0.5060; Precision: 0.5040; Recall: 0.9960; ROC AUC: 0.5040
+[2024-05-21 16:35:57,517 INFO] Epoch:1, Snapshot:94; F1: 0.6504; Accuracy: 0.4850; Precision: 0.4858; Recall: 0.9836; ROC AUC: 0.4976
+[2024-05-21 16:35:58,376 INFO] Epoch:1, Snapshot:95; F1: 0.6856; Accuracy: 0.5240; Precision: 0.5248; Recall: 0.9886; ROC AUC: 0.4995
+[2024-05-21 16:35:59,283 INFO] Epoch:1, Snapshot:96; F1: 0.6622; Accuracy: 0.4960; Precision: 0.4970; Recall: 0.9920; ROC AUC: 0.4980
+[2024-05-21 16:36:00,236 INFO] Epoch:1, Snapshot:97; F1: 0.6938; Accuracy: 0.5340; Precision: 0.5323; Recall: 0.9962; ROC AUC: 0.5045
+[2024-05-21 16:36:00,986 INFO] Epoch:1, Snapshot:98; F1: 0.6795; Accuracy: 0.5180; Precision: 0.5156; Recall: 0.9961; ROC AUC: 0.5052
+[2024-05-21 16:36:01,862 INFO] Epoch:1, Snapshot:99; F1: 0.6558; Accuracy: 0.4910; Precision: 0.4899; Recall: 0.9918; ROC AUC: 0.5018
+[2024-05-21 16:36:02,987 INFO] Epoch:1, Snapshot:100; F1: 0.6804; Accuracy: 0.5190; Precision: 0.5166; Recall: 0.9961; ROC AUC: 0.5053
+[2024-05-21 16:36:03,862 INFO] Epoch:1, Snapshot:101; F1: 0.6431; Accuracy: 0.4760; Precision: 0.4744; Recall: 0.9979; ROC AUC: 0.5027
+[2024-05-21 16:36:04,706 INFO] Epoch:1, Snapshot:102; F1: 0.6617; Accuracy: 0.4980; Precision: 0.4955; Recall: 0.9959; ROC AUC: 0.5049
+[2024-05-21 16:36:05,612 INFO] Epoch:1, Snapshot:103; F1: 0.6540; Accuracy: 0.4900; Precision: 0.4893; Recall: 0.9857; ROC AUC: 0.5007
+[2024-05-21 16:36:06,425 INFO] Epoch:1, Snapshot:104; F1: 0.6504; Accuracy: 0.4850; Precision: 0.4834; Recall: 0.9938; ROC AUC: 0.5027
+[2024-05-21 16:36:07,394 INFO] Epoch:1, Snapshot:105; F1: 0.6102; Accuracy: 0.4430; Precision: 0.4422; Recall: 0.9842; ROC AUC: 0.4984
+[2024-05-21 16:36:08,363 INFO] Epoch:1, Snapshot:106; F1: 0.5959; Accuracy: 0.4290; Precision: 0.4278; Recall: 0.9814; ROC AUC: 0.4977
+[2024-05-21 16:36:09,239 INFO] Epoch:1, Snapshot:107; F1: 0.6486; Accuracy: 0.4820; Precision: 0.4814; Recall: 0.9938; ROC AUC: 0.5007
+[2024-05-21 16:36:10,255 INFO] Epoch:1, Snapshot:108; F1: 0.6733; Accuracy: 0.5090; Precision: 0.5101; Recall: 0.9902; ROC AUC: 0.4982
+[2024-05-21 16:36:11,177 INFO] Epoch:1, Snapshot:109; F1: 0.6572; Accuracy: 0.4930; Precision: 0.4934; Recall: 0.9838; ROC AUC: 0.4988
+[2024-05-21 16:36:12,020 INFO] Epoch:1, Snapshot:110; F1: 0.6635; Accuracy: 0.4980; Precision: 0.4990; Recall: 0.9900; ROC AUC: 0.4980
+[2024-05-21 16:36:12,849 INFO] Epoch:1, Snapshot:111; F1: 0.6420; Accuracy: 0.4770; Precision: 0.4742; Recall: 0.9936; ROC AUC: 0.5044
+[2024-05-21 16:36:13,864 INFO] Epoch:1, Snapshot:112; F1: 0.6640; Accuracy: 0.4990; Precision: 0.5015; Recall: 0.9821; ROC AUC: 0.4951
+[2024-05-21 16:36:14,756 INFO] Epoch:1, Snapshot:113; F1: 0.6513; Accuracy: 0.4860; Precision: 0.4868; Recall: 0.9836; ROC AUC: 0.4977
+[2024-05-21 16:36:15,834 INFO] Epoch:1, Snapshot:114; F1: 0.6895; Accuracy: 0.5290; Precision: 0.5283; Recall: 0.9924; ROC AUC: 0.5025
+[2024-05-21 16:36:16,898 INFO] Epoch:1, Snapshot:115; F1: 0.6425; Accuracy: 0.4770; Precision: 0.4757; Recall: 0.9895; ROC AUC: 0.5014
+[2024-05-21 16:36:17,882 INFO] Epoch:1, Snapshot:116; F1: 0.6603; Accuracy: 0.4990; Precision: 0.4959; Recall: 0.9878; ROC AUC: 0.5057
+[2024-05-21 16:36:18,899 INFO] Epoch:1, Snapshot:117; F1: 0.6421; Accuracy: 0.4750; Precision: 0.4753; Recall: 0.9895; ROC AUC: 0.4986
+[2024-05-21 16:36:19,899 INFO] Epoch:1, Snapshot:118; F1: 0.6808; Accuracy: 0.5180; Precision: 0.5202; Recall: 0.9847; ROC AUC: 0.4965
+[2024-05-21 16:36:20,884 INFO] Epoch:1, Snapshot:119; F1: 0.6558; Accuracy: 0.4910; Precision: 0.4904; Recall: 0.9898; ROC AUC: 0.5008
+[2024-05-21 16:36:21,853 INFO] Epoch:1, Snapshot:120; F1: 0.6504; Accuracy: 0.4850; Precision: 0.4843; Recall: 0.9897; ROC AUC: 0.5006
+[2024-05-21 16:36:22,790 INFO] Epoch:1, Snapshot:121; F1: 0.6600; Accuracy: 0.4930; Precision: 0.4950; Recall: 0.9899; ROC AUC: 0.4960
+[2024-05-21 16:36:23,681 INFO] Epoch:1, Snapshot:122; F1: 0.6972; Accuracy: 0.5370; Precision: 0.5378; Recall: 0.9907; ROC AUC: 0.4997
+[2024-05-21 16:36:24,713 INFO] Epoch:1, Snapshot:123; F1: 0.6522; Accuracy: 0.4870; Precision: 0.4868; Recall: 0.9877; ROC AUC: 0.4997
+[2024-05-21 16:36:24,713 INFO] Epoch:1, Snapshot: 22; Loss: 0.9119
+[2024-05-21 16:36:31,292 INFO] Epoch:1, Snapshot:37; F1: 0.1796; Accuracy: 0.4520; Precision: 0.6122; Recall: 0.1053; ROC AUC: 0.5084
+[2024-05-21 16:36:32,167 INFO] Epoch:1, Snapshot:38; F1: 0.0857; Accuracy: 0.4450; Precision: 0.3939; Recall: 0.0481; ROC AUC: 0.4805
+[2024-05-21 16:36:32,871 INFO] Epoch:1, Snapshot:39; F1: 0.1462; Accuracy: 0.5210; Precision: 0.4607; Recall: 0.0869; ROC AUC: 0.4980
+[2024-05-21 16:36:33,668 INFO] Epoch:1, Snapshot:40; F1: 0.1571; Accuracy: 0.4850; Precision: 0.5333; Recall: 0.0921; ROC AUC: 0.5022
+[2024-05-21 16:36:34,481 INFO] Epoch:1, Snapshot:41; F1: 0.1514; Accuracy: 0.5290; Precision: 0.5185; Recall: 0.0886; ROC AUC: 0.5072
+[2024-05-21 16:36:35,325 INFO] Epoch:1, Snapshot:42; F1: 0.1027; Accuracy: 0.4930; Precision: 0.3537; Recall: 0.0600; ROC AUC: 0.4788
+[2024-05-21 16:36:36,169 INFO] Epoch:1, Snapshot:43; F1: 0.1805; Accuracy: 0.5460; Precision: 0.5319; Recall: 0.1087; ROC AUC: 0.5136
+[2024-05-21 16:36:36,997 INFO] Epoch:1, Snapshot:44; F1: 0.1667; Accuracy: 0.4700; Precision: 0.5579; Recall: 0.0980; ROC AUC: 0.5032
+[2024-05-21 16:36:37,857 INFO] Epoch:1, Snapshot:45; F1: 0.1338; Accuracy: 0.4560; Precision: 0.4667; Recall: 0.0781; ROC AUC: 0.4871
+[2024-05-21 16:36:38,732 INFO] Epoch:1, Snapshot:46; F1: 0.1347; Accuracy: 0.4990; Precision: 0.5132; Recall: 0.0775; ROC AUC: 0.5015
+[2024-05-21 16:36:39,498 INFO] Epoch:1, Snapshot:47; F1: 0.1429; Accuracy: 0.5200; Precision: 0.4494; Recall: 0.0849; ROC AUC: 0.4961
+[2024-05-21 16:36:40,404 INFO] Epoch:1, Snapshot:48; F1: 0.1511; Accuracy: 0.5170; Precision: 0.4433; Recall: 0.0911; ROC AUC: 0.4944
+[2024-05-21 16:36:41,295 INFO] Epoch:1, Snapshot:49; F1: 0.1250; Accuracy: 0.4820; Precision: 0.4512; Recall: 0.0725; ROC AUC: 0.4904
+[2024-05-21 16:36:42,139 INFO] Epoch:1, Snapshot:50; F1: 0.1302; Accuracy: 0.5190; Precision: 0.4138; Recall: 0.0773; ROC AUC: 0.4909
+[2024-05-21 16:36:42,968 INFO] Epoch:1, Snapshot:51; F1: 0.1718; Accuracy: 0.5180; Precision: 0.5376; Recall: 0.1022; ROC AUC: 0.5091
+[2024-05-21 16:36:43,830 INFO] Epoch:1, Snapshot:52; F1: 0.1672; Accuracy: 0.5020; Precision: 0.6098; Recall: 0.0969; ROC AUC: 0.5154
+[2024-05-21 16:36:44,718 INFO] Epoch:1, Snapshot:53; F1: 0.1322; Accuracy: 0.4750; Precision: 0.4545; Recall: 0.0774; ROC AUC: 0.4890
+[2024-05-21 16:36:45,531 INFO] Epoch:1, Snapshot:54; F1: 0.1280; Accuracy: 0.5230; Precision: 0.4667; Recall: 0.0742; ROC AUC: 0.4992
+[2024-05-21 16:36:46,359 INFO] Epoch:1, Snapshot:55; F1: 0.1683; Accuracy: 0.4860; Precision: 0.6118; Recall: 0.0976; ROC AUC: 0.5134
+[2024-05-21 16:36:47,204 INFO] Epoch:1, Snapshot:56; F1: 0.1167; Accuracy: 0.4700; Precision: 0.4070; Recall: 0.0681; ROC AUC: 0.4816
+[2024-05-21 16:36:47,954 INFO] Epoch:1, Snapshot:57; F1: 0.1776; Accuracy: 0.5090; Precision: 0.6235; Recall: 0.1035; ROC AUC: 0.5190
+[2024-05-21 16:36:48,751 INFO] Epoch:1, Snapshot:58; F1: 0.1861; Accuracy: 0.5190; Precision: 0.5851; Recall: 0.1107; ROC AUC: 0.5166
+[2024-05-21 16:36:49,737 INFO] Epoch:1, Snapshot:59; F1: 0.1386; Accuracy: 0.4530; Precision: 0.4444; Recall: 0.0821; ROC AUC: 0.4818
+[2024-05-21 16:36:50,596 INFO] Epoch:1, Snapshot:60; F1: 0.1559; Accuracy: 0.4910; Precision: 0.4947; Recall: 0.0925; ROC AUC: 0.4975
+[2024-05-21 16:36:51,674 INFO] Epoch:1, Snapshot:61; F1: 0.1456; Accuracy: 0.5190; Precision: 0.5062; Recall: 0.0851; ROC AUC: 0.5039
+[2024-05-21 16:36:52,659 INFO] Epoch:1, Snapshot:62; F1: 0.1585; Accuracy: 0.5220; Precision: 0.5172; Recall: 0.0936; ROC AUC: 0.5063
+[2024-05-21 16:36:53,690 INFO] Epoch:1, Snapshot:63; F1: 0.1497; Accuracy: 0.5000; Precision: 0.5238; Recall: 0.0873; ROC AUC: 0.5033
+[2024-05-21 16:36:54,644 INFO] Epoch:1, Snapshot:64; F1: 0.1658; Accuracy: 0.5270; Precision: 0.4845; Recall: 0.1000; ROC AUC: 0.5028
+[2024-05-21 16:36:55,535 INFO] Epoch:1, Snapshot:65; F1: 0.1601; Accuracy: 0.5280; Precision: 0.4839; Recall: 0.0959; ROC AUC: 0.5028
+[2024-05-21 16:36:56,535 INFO] Epoch:1, Snapshot:66; F1: 0.1669; Accuracy: 0.4510; Precision: 0.5556; Recall: 0.0982; ROC AUC: 0.4991
+[2024-05-21 16:36:57,347 INFO] Epoch:1, Snapshot:67; F1: 0.1585; Accuracy: 0.5010; Precision: 0.5054; Recall: 0.0940; ROC AUC: 0.5010
+[2024-05-21 16:36:58,145 INFO] Epoch:1, Snapshot:68; F1: 0.1608; Accuracy: 0.5200; Precision: 0.5111; Recall: 0.0954; ROC AUC: 0.5052
+[2024-05-21 16:36:58,989 INFO] Epoch:1, Snapshot:69; F1: 0.1375; Accuracy: 0.4980; Precision: 0.4348; Recall: 0.0816; ROC AUC: 0.4898
+[2024-05-21 16:36:59,895 INFO] Epoch:1, Snapshot:70; F1: 0.1691; Accuracy: 0.4890; Precision: 0.5778; Recall: 0.0990; ROC AUC: 0.5095
+[2024-05-21 16:37:00,723 INFO] Epoch:1, Snapshot:71; F1: 0.1612; Accuracy: 0.5110; Precision: 0.5165; Recall: 0.0955; ROC AUC: 0.5045
+[2024-05-21 16:37:01,567 INFO] Epoch:1, Snapshot:72; F1: 0.1421; Accuracy: 0.5170; Precision: 0.4301; Recall: 0.0851; ROC AUC: 0.4926
+[2024-05-21 16:37:02,255 INFO] Epoch:1, Snapshot:73; F1: 0.1179; Accuracy: 0.5510; Precision: 0.3750; Recall: 0.0699; ROC AUC: 0.4912
+[2024-05-21 16:37:03,052 INFO] Epoch:1, Snapshot:74; F1: 0.1533; Accuracy: 0.5470; Precision: 0.4505; Recall: 0.0923; ROC AUC: 0.5012
+[2024-05-21 16:37:03,865 INFO] Epoch:1, Snapshot:75; F1: 0.1439; Accuracy: 0.5240; Precision: 0.4211; Recall: 0.0868; ROC AUC: 0.4924
+[2024-05-21 16:37:04,647 INFO] Epoch:1, Snapshot:76; F1: 0.1570; Accuracy: 0.5060; Precision: 0.4510; Recall: 0.0950; ROC AUC: 0.4933
+[2024-05-21 16:37:05,568 INFO] Epoch:1, Snapshot:77; F1: 0.1812; Accuracy: 0.5120; Precision: 0.5870; Recall: 0.1071; ROC AUC: 0.5153
+[2024-05-21 16:37:06,475 INFO] Epoch:1, Snapshot:78; F1: 0.1497; Accuracy: 0.4660; Precision: 0.5595; Recall: 0.0864; ROC AUC: 0.5026
+[2024-05-21 16:37:07,366 INFO] Epoch:1, Snapshot:79; F1: 0.1627; Accuracy: 0.4750; Precision: 0.4951; Recall: 0.0973; ROC AUC: 0.4940
+[2024-05-21 16:37:08,178 INFO] Epoch:1, Snapshot:80; F1: 0.1667; Accuracy: 0.5100; Precision: 0.5568; Recall: 0.0980; ROC AUC: 0.5100
+[2024-05-21 16:37:09,147 INFO] Epoch:1, Snapshot:81; F1: 0.1289; Accuracy: 0.4730; Precision: 0.4483; Recall: 0.0753; ROC AUC: 0.4879
+[2024-05-21 16:37:09,961 INFO] Epoch:1, Snapshot:82; F1: 0.1519; Accuracy: 0.5310; Precision: 0.4884; Recall: 0.0899; ROC AUC: 0.5037
+[2024-05-21 16:37:10,945 INFO] Epoch:1, Snapshot:83; F1: 0.1403; Accuracy: 0.4730; Precision: 0.4886; Recall: 0.0819; ROC AUC: 0.4936
+[2024-05-21 16:37:11,773 INFO] Epoch:1, Snapshot:84; F1: 0.1635; Accuracy: 0.4780; Precision: 0.4811; Recall: 0.0985; ROC AUC: 0.4922
+[2024-05-21 16:37:12,633 INFO] Epoch:1, Snapshot:85; F1: 0.1501; Accuracy: 0.4790; Precision: 0.5287; Recall: 0.0875; ROC AUC: 0.5005
+[2024-05-21 16:37:13,493 INFO] Epoch:1, Snapshot:86; F1: 0.1700; Accuracy: 0.5020; Precision: 0.5484; Recall: 0.1006; ROC AUC: 0.5077
+[2024-05-21 16:37:14,400 INFO] Epoch:1, Snapshot:87; F1: 0.1511; Accuracy: 0.5170; Precision: 0.5059; Recall: 0.0888; ROC AUC: 0.5037
+[2024-05-21 16:37:15,306 INFO] Epoch:1, Snapshot:88; F1: 0.1919; Accuracy: 0.5200; Precision: 0.5588; Recall: 0.1159; ROC AUC: 0.5136
+[2024-05-21 16:37:16,338 INFO] Epoch:1, Snapshot:89; F1: 0.1672; Accuracy: 0.4720; Precision: 0.5824; Recall: 0.0976; ROC AUC: 0.5072
+[2024-05-21 16:37:17,135 INFO] Epoch:1, Snapshot:90; F1: 0.1796; Accuracy: 0.5250; Precision: 0.5200; Recall: 0.1086; ROC AUC: 0.5082
+[2024-05-21 16:37:18,026 INFO] Epoch:1, Snapshot:91; F1: 0.1526; Accuracy: 0.4670; Precision: 0.5455; Recall: 0.0887; ROC AUC: 0.5008
+[2024-05-21 16:37:18,885 INFO] Epoch:1, Snapshot:92; F1: 0.1649; Accuracy: 0.5340; Precision: 0.6053; Recall: 0.0954; ROC AUC: 0.5188
+[2024-05-21 16:37:19,698 INFO] Epoch:1, Snapshot:93; F1: 0.1313; Accuracy: 0.4970; Precision: 0.4935; Recall: 0.0757; ROC AUC: 0.4987
+[2024-05-21 16:37:20,495 INFO] Epoch:1, Snapshot:94; F1: 0.1458; Accuracy: 0.5080; Precision: 0.4719; Recall: 0.0862; ROC AUC: 0.4973
+[2024-05-21 16:37:21,370 INFO] Epoch:1, Snapshot:95; F1: 0.1821; Accuracy: 0.4880; Precision: 0.5644; Recall: 0.1086; ROC AUC: 0.5080
+[2024-05-21 16:37:22,277 INFO] Epoch:1, Snapshot:96; F1: 0.1567; Accuracy: 0.5050; Precision: 0.5169; Recall: 0.0924; ROC AUC: 0.5034
+[2024-05-21 16:37:23,214 INFO] Epoch:1, Snapshot:97; F1: 0.1126; Accuracy: 0.4640; Precision: 0.4595; Recall: 0.0642; ROC AUC: 0.4895
+[2024-05-21 16:37:24,011 INFO] Epoch:1, Snapshot:98; F1: 0.1765; Accuracy: 0.4960; Precision: 0.5455; Recall: 0.1053; ROC AUC: 0.5064
+[2024-05-21 16:37:24,840 INFO] Epoch:1, Snapshot:99; F1: 0.1658; Accuracy: 0.5070; Precision: 0.4804; Recall: 0.1002; ROC AUC: 0.4982
+[2024-05-21 16:37:25,919 INFO] Epoch:1, Snapshot:100; F1: 0.1473; Accuracy: 0.4790; Precision: 0.4639; Recall: 0.0875; ROC AUC: 0.4903
+[2024-05-21 16:37:26,763 INFO] Epoch:1, Snapshot:101; F1: 0.1679; Accuracy: 0.5340; Precision: 0.5402; Recall: 0.0994; ROC AUC: 0.5117
+[2024-05-21 16:37:27,655 INFO] Epoch:1, Snapshot:102; F1: 0.1661; Accuracy: 0.5080; Precision: 0.5052; Recall: 0.0994; ROC AUC: 0.5024
+[2024-05-21 16:37:28,544 INFO] Epoch:1, Snapshot:103; F1: 0.1384; Accuracy: 0.5020; Precision: 0.4494; Recall: 0.0818; ROC AUC: 0.4930
+[2024-05-21 16:37:29,342 INFO] Epoch:1, Snapshot:104; F1: 0.1479; Accuracy: 0.5160; Precision: 0.4884; Recall: 0.0871; ROC AUC: 0.5011
+[2024-05-21 16:37:30,217 INFO] Epoch:1, Snapshot:105; F1: 0.1490; Accuracy: 0.5430; Precision: 0.4255; Recall: 0.0903; ROC AUC: 0.4967
+[2024-05-21 16:37:31,139 INFO] Epoch:1, Snapshot:106; F1: 0.1569; Accuracy: 0.5700; Precision: 0.4938; Recall: 0.0932; ROC AUC: 0.5107
+[2024-05-21 16:37:32,031 INFO] Epoch:1, Snapshot:107; F1: 0.1664; Accuracy: 0.5190; Precision: 0.5000; Recall: 0.0998; ROC AUC: 0.5037
+[2024-05-21 16:37:33,094 INFO] Epoch:1, Snapshot:108; F1: 0.1645; Accuracy: 0.4920; Precision: 0.5155; Recall: 0.0978; ROC AUC: 0.5009
+[2024-05-21 16:37:34,031 INFO] Epoch:1, Snapshot:109; F1: 0.1612; Accuracy: 0.5110; Precision: 0.5281; Recall: 0.0951; ROC AUC: 0.5061
+[2024-05-21 16:37:34,876 INFO] Epoch:1, Snapshot:110; F1: 0.1653; Accuracy: 0.5050; Precision: 0.5269; Recall: 0.0980; ROC AUC: 0.5050
+[2024-05-21 16:37:35,688 INFO] Epoch:1, Snapshot:111; F1: 0.1352; Accuracy: 0.5140; Precision: 0.4222; Recall: 0.0805; ROC AUC: 0.4910
+[2024-05-21 16:37:36,735 INFO] Epoch:1, Snapshot:112; F1: 0.1611; Accuracy: 0.5000; Precision: 0.5217; Recall: 0.0952; ROC AUC: 0.5033
+[2024-05-21 16:37:37,626 INFO] Epoch:1, Snapshot:113; F1: 0.1552; Accuracy: 0.5100; Precision: 0.4891; Recall: 0.0922; ROC AUC: 0.5002
+[2024-05-21 16:37:38,689 INFO] Epoch:1, Snapshot:114; F1: 0.1608; Accuracy: 0.4780; Precision: 0.5263; Recall: 0.0949; ROC AUC: 0.4999
+[2024-05-21 16:37:39,768 INFO] Epoch:1, Snapshot:115; F1: 0.1601; Accuracy: 0.5280; Precision: 0.5172; Recall: 0.0947; ROC AUC: 0.5074
+[2024-05-21 16:37:40,799 INFO] Epoch:1, Snapshot:116; F1: 0.1259; Accuracy: 0.4860; Precision: 0.3895; Recall: 0.0751; ROC AUC: 0.4803
+[2024-05-21 16:37:41,831 INFO] Epoch:1, Snapshot:117; F1: 0.1272; Accuracy: 0.5060; Precision: 0.4000; Recall: 0.0756; ROC AUC: 0.4863
+[2024-05-21 16:37:42,800 INFO] Epoch:1, Snapshot:118; F1: 0.1386; Accuracy: 0.4780; Precision: 0.5000; Recall: 0.0805; ROC AUC: 0.4963
+[2024-05-21 16:37:43,802 INFO] Epoch:1, Snapshot:119; F1: 0.1195; Accuracy: 0.4990; Precision: 0.4304; Recall: 0.0694; ROC AUC: 0.4906
+[2024-05-21 16:37:44,769 INFO] Epoch:1, Snapshot:120; F1: 0.1638; Accuracy: 0.5100; Precision: 0.4706; Recall: 0.0992; ROC AUC: 0.4973
+[2024-05-21 16:37:45,707 INFO] Epoch:1, Snapshot:121; F1: 0.1382; Accuracy: 0.5010; Precision: 0.4878; Recall: 0.0805; ROC AUC: 0.4985
+[2024-05-21 16:37:46,598 INFO] Epoch:1, Snapshot:122; F1: 0.1226; Accuracy: 0.4560; Precision: 0.4634; Recall: 0.0706; ROC AUC: 0.4877
+[2024-05-21 16:37:47,629 INFO] Epoch:1, Snapshot:123; F1: 0.1357; Accuracy: 0.5030; Precision: 0.4432; Recall: 0.0801; ROC AUC: 0.4923
+[2024-05-21 16:37:47,645 INFO] Epoch:1, Snapshot: 23; Loss: 0.9666
+[2024-05-21 16:37:54,553 INFO] Epoch:1, Snapshot:37; F1: 0.7201; Accuracy: 0.5630; Precision: 0.5671; Recall: 0.9860; ROC AUC: 0.4941
+[2024-05-21 16:37:55,459 INFO] Epoch:1, Snapshot:38; F1: 0.6958; Accuracy: 0.5340; Precision: 0.5378; Recall: 0.9852; ROC AUC: 0.4937
+[2024-05-21 16:37:56,179 INFO] Epoch:1, Snapshot:39; F1: 0.6389; Accuracy: 0.4710; Precision: 0.4713; Recall: 0.9915; ROC AUC: 0.4986
+[2024-05-21 16:37:57,023 INFO] Epoch:1, Snapshot:40; F1: 0.6812; Accuracy: 0.5180; Precision: 0.5197; Recall: 0.9885; ROC AUC: 0.4974
+[2024-05-21 16:37:57,773 INFO] Epoch:1, Snapshot:41; F1: 0.6445; Accuracy: 0.4770; Precision: 0.4754; Recall: 1.0000; ROC AUC: 0.5029
+[2024-05-21 16:37:58,664 INFO] Epoch:1, Snapshot:42; F1: 0.6522; Accuracy: 0.4870; Precision: 0.4849; Recall: 0.9959; ROC AUC: 0.5037
+[2024-05-21 16:37:59,445 INFO] Epoch:1, Snapshot:43; F1: 0.6261; Accuracy: 0.4590; Precision: 0.4590; Recall: 0.9848; ROC AUC: 0.4979
+[2024-05-21 16:38:00,258 INFO] Epoch:1, Snapshot:44; F1: 0.7028; Accuracy: 0.5450; Precision: 0.5434; Recall: 0.9945; ROC AUC: 0.5049
+[2024-05-21 16:38:01,196 INFO] Epoch:1, Snapshot:45; F1: 0.6976; Accuracy: 0.5370; Precision: 0.5378; Recall: 0.9926; ROC AUC: 0.4995
+[2024-05-21 16:38:02,118 INFO] Epoch:1, Snapshot:46; F1: 0.6689; Accuracy: 0.5040; Precision: 0.5035; Recall: 0.9960; ROC AUC: 0.5010
+[2024-05-21 16:38:02,837 INFO] Epoch:1, Snapshot:47; F1: 0.6398; Accuracy: 0.4720; Precision: 0.4714; Recall: 0.9958; ROC AUC: 0.5007
+[2024-05-21 16:38:03,759 INFO] Epoch:1, Snapshot:48; F1: 0.6383; Accuracy: 0.4730; Precision: 0.4721; Recall: 0.9852; ROC AUC: 0.5002
+[2024-05-21 16:38:04,635 INFO] Epoch:1, Snapshot:49; F1: 0.6742; Accuracy: 0.5110; Precision: 0.5106; Recall: 0.9922; ROC AUC: 0.5012
+[2024-05-21 16:38:05,495 INFO] Epoch:1, Snapshot:50; F1: 0.6328; Accuracy: 0.4650; Precision: 0.4652; Recall: 0.9893; ROC AUC: 0.4984
+[2024-05-21 16:38:06,370 INFO] Epoch:1, Snapshot:51; F1: 0.6490; Accuracy: 0.4830; Precision: 0.4858; Recall: 0.9775; ROC AUC: 0.4936
+[2024-05-21 16:38:07,199 INFO] Epoch:1, Snapshot:52; F1: 0.6795; Accuracy: 0.5180; Precision: 0.5172; Recall: 0.9903; ROC AUC: 0.5024
+[2024-05-21 16:38:08,152 INFO] Epoch:1, Snapshot:53; F1: 0.6795; Accuracy: 0.5170; Precision: 0.5172; Recall: 0.9903; ROC AUC: 0.5003
+[2024-05-21 16:38:08,980 INFO] Epoch:1, Snapshot:54; F1: 0.6393; Accuracy: 0.4720; Precision: 0.4718; Recall: 0.9915; ROC AUC: 0.4996
+[2024-05-21 16:38:09,824 INFO] Epoch:1, Snapshot:55; F1: 0.6907; Accuracy: 0.5290; Precision: 0.5313; Recall: 0.9869; ROC AUC: 0.4966
+[2024-05-21 16:38:10,652 INFO] Epoch:1, Snapshot:56; F1: 0.6733; Accuracy: 0.5090; Precision: 0.5116; Recall: 0.9844; ROC AUC: 0.4953
+[2024-05-21 16:38:11,449 INFO] Epoch:1, Snapshot:57; F1: 0.6764; Accuracy: 0.5130; Precision: 0.5126; Recall: 0.9941; ROC AUC: 0.5012
+[2024-05-21 16:38:12,262 INFO] Epoch:1, Snapshot:58; F1: 0.6613; Accuracy: 0.4960; Precision: 0.4965; Recall: 0.9899; ROC AUC: 0.4989
+[2024-05-21 16:38:13,231 INFO] Epoch:1, Snapshot:59; F1: 0.6995; Accuracy: 0.5420; Precision: 0.5395; Recall: 0.9944; ROC AUC: 0.5069
+[2024-05-21 16:38:14,106 INFO] Epoch:1, Snapshot:60; F1: 0.6729; Accuracy: 0.5090; Precision: 0.5086; Recall: 0.9941; ROC AUC: 0.5011
+[2024-05-21 16:38:15,156 INFO] Epoch:1, Snapshot:61; F1: 0.6485; Accuracy: 0.4830; Precision: 0.4823; Recall: 0.9896; ROC AUC: 0.5006
+[2024-05-21 16:38:16,170 INFO] Epoch:1, Snapshot:62; F1: 0.6463; Accuracy: 0.4800; Precision: 0.4803; Recall: 0.9875; ROC AUC: 0.4986
+[2024-05-21 16:38:17,233 INFO] Epoch:1, Snapshot:63; F1: 0.6680; Accuracy: 0.5040; Precision: 0.5040; Recall: 0.9901; ROC AUC: 0.5001
+[2024-05-21 16:38:18,233 INFO] Epoch:1, Snapshot:64; F1: 0.6370; Accuracy: 0.4700; Precision: 0.4697; Recall: 0.9894; ROC AUC: 0.4994
+[2024-05-21 16:38:19,155 INFO] Epoch:1, Snapshot:65; F1: 0.6351; Accuracy: 0.4680; Precision: 0.4681; Recall: 0.9872; ROC AUC: 0.4983
+[2024-05-21 16:38:20,139 INFO] Epoch:1, Snapshot:66; F1: 0.7148; Accuracy: 0.5580; Precision: 0.5596; Recall: 0.9893; ROC AUC: 0.4992
+[2024-05-21 16:38:20,953 INFO] Epoch:1, Snapshot:67; F1: 0.6644; Accuracy: 0.5000; Precision: 0.5000; Recall: 0.9900; ROC AUC: 0.5000
+[2024-05-21 16:38:21,765 INFO] Epoch:1, Snapshot:68; F1: 0.6463; Accuracy: 0.4800; Precision: 0.4808; Recall: 0.9855; ROC AUC: 0.4976
+[2024-05-21 16:38:22,593 INFO] Epoch:1, Snapshot:69; F1: 0.6581; Accuracy: 0.4940; Precision: 0.4919; Recall: 0.9939; ROC AUC: 0.5038
+[2024-05-21 16:38:23,516 INFO] Epoch:1, Snapshot:70; F1: 0.6808; Accuracy: 0.5170; Precision: 0.5213; Recall: 0.9810; ROC AUC: 0.4926
+[2024-05-21 16:38:24,360 INFO] Epoch:1, Snapshot:71; F1: 0.6572; Accuracy: 0.4920; Precision: 0.4919; Recall: 0.9898; ROC AUC: 0.4998
+[2024-05-21 16:38:25,203 INFO] Epoch:1, Snapshot:72; F1: 0.6393; Accuracy: 0.4720; Precision: 0.4708; Recall: 0.9957; ROC AUC: 0.5016
+[2024-05-21 16:38:25,922 INFO] Epoch:1, Snapshot:73; F1: 0.6006; Accuracy: 0.4320; Precision: 0.4300; Recall: 0.9953; ROC AUC: 0.5020
+[2024-05-21 16:38:26,704 INFO] Epoch:1, Snapshot:74; F1: 0.6127; Accuracy: 0.4450; Precision: 0.4439; Recall: 0.9887; ROC AUC: 0.4998
+[2024-05-21 16:38:27,579 INFO] Epoch:1, Snapshot:75; F1: 0.6312; Accuracy: 0.4660; Precision: 0.4630; Recall: 0.9913; ROC AUC: 0.5040
+[2024-05-21 16:38:28,360 INFO] Epoch:1, Snapshot:76; F1: 0.6540; Accuracy: 0.4900; Precision: 0.4869; Recall: 0.9959; ROC AUC: 0.5057
+[2024-05-21 16:38:29,313 INFO] Epoch:1, Snapshot:77; F1: 0.6644; Accuracy: 0.4980; Precision: 0.5010; Recall: 0.9861; ROC AUC: 0.4941
+[2024-05-21 16:38:30,220 INFO] Epoch:1, Snapshot:78; F1: 0.7014; Accuracy: 0.5420; Precision: 0.5434; Recall: 0.9890; ROC AUC: 0.4989
+[2024-05-21 16:38:31,111 INFO] Epoch:1, Snapshot:79; F1: 0.6874; Accuracy: 0.5280; Precision: 0.5264; Recall: 0.9905; ROC AUC: 0.5047
+[2024-05-21 16:38:31,908 INFO] Epoch:1, Snapshot:80; F1: 0.6604; Accuracy: 0.4940; Precision: 0.4970; Recall: 0.9840; ROC AUC: 0.4940
+[2024-05-21 16:38:32,861 INFO] Epoch:1, Snapshot:81; F1: 0.6773; Accuracy: 0.5130; Precision: 0.5156; Recall: 0.9865; ROC AUC: 0.4953
+[2024-05-21 16:38:33,674 INFO] Epoch:1, Snapshot:82; F1: 0.6318; Accuracy: 0.4650; Precision: 0.4655; Recall: 0.9829; ROC AUC: 0.4971
+[2024-05-21 16:38:34,674 INFO] Epoch:1, Snapshot:83; F1: 0.6851; Accuracy: 0.5230; Precision: 0.5242; Recall: 0.9886; ROC AUC: 0.4985
+[2024-05-21 16:38:35,502 INFO] Epoch:1, Snapshot:84; F1: 0.6821; Accuracy: 0.5200; Precision: 0.5192; Recall: 0.9942; ROC AUC: 0.5023
+[2024-05-21 16:38:36,393 INFO] Epoch:1, Snapshot:85; F1: 0.6882; Accuracy: 0.5260; Precision: 0.5262; Recall: 0.9943; ROC AUC: 0.5003
+[2024-05-21 16:38:37,284 INFO] Epoch:1, Snapshot:86; F1: 0.6693; Accuracy: 0.5050; Precision: 0.5061; Recall: 0.9882; ROC AUC: 0.4981
+[2024-05-21 16:38:38,174 INFO] Epoch:1, Snapshot:87; F1: 0.6486; Accuracy: 0.4820; Precision: 0.4828; Recall: 0.9876; ROC AUC: 0.4977
+[2024-05-21 16:38:39,065 INFO] Epoch:1, Snapshot:88; F1: 0.6599; Accuracy: 0.4980; Precision: 0.4949; Recall: 0.9898; ROC AUC: 0.5057
+[2024-05-21 16:38:40,112 INFO] Epoch:1, Snapshot:89; F1: 0.7048; Accuracy: 0.5460; Precision: 0.5447; Recall: 0.9982; ROC AUC: 0.5035
+[2024-05-21 16:38:40,910 INFO] Epoch:1, Snapshot:90; F1: 0.6485; Accuracy: 0.4850; Precision: 0.4817; Recall: 0.9916; ROC AUC: 0.5054
+[2024-05-21 16:38:41,801 INFO] Epoch:1, Snapshot:91; F1: 0.6985; Accuracy: 0.5390; Precision: 0.5405; Recall: 0.9871; ROC AUC: 0.4990
+[2024-05-21 16:38:42,676 INFO] Epoch:1, Snapshot:92; F1: 0.6457; Accuracy: 0.4810; Precision: 0.4812; Recall: 0.9813; ROC AUC: 0.4984
+[2024-05-21 16:38:43,536 INFO] Epoch:1, Snapshot:93; F1: 0.6662; Accuracy: 0.5010; Precision: 0.5015; Recall: 0.9920; ROC AUC: 0.4990
+[2024-05-21 16:38:44,302 INFO] Epoch:1, Snapshot:94; F1: 0.6481; Accuracy: 0.4820; Precision: 0.4843; Recall: 0.9795; ROC AUC: 0.4946
+[2024-05-21 16:38:45,240 INFO] Epoch:1, Snapshot:95; F1: 0.6817; Accuracy: 0.5190; Precision: 0.5223; Recall: 0.9810; ROC AUC: 0.4947
+[2024-05-21 16:38:46,209 INFO] Epoch:1, Snapshot:96; F1: 0.6644; Accuracy: 0.5010; Precision: 0.4995; Recall: 0.9920; ROC AUC: 0.5030
+[2024-05-21 16:38:47,131 INFO] Epoch:1, Snapshot:97; F1: 0.6908; Accuracy: 0.5300; Precision: 0.5303; Recall: 0.9906; ROC AUC: 0.5006
+[2024-05-21 16:38:47,881 INFO] Epoch:1, Snapshot:98; F1: 0.6729; Accuracy: 0.5090; Precision: 0.5111; Recall: 0.9844; ROC AUC: 0.4963
+[2024-05-21 16:38:48,740 INFO] Epoch:1, Snapshot:99; F1: 0.6545; Accuracy: 0.4880; Precision: 0.4884; Recall: 0.9918; ROC AUC: 0.4988
+[2024-05-21 16:38:49,819 INFO] Epoch:1, Snapshot:100; F1: 0.6755; Accuracy: 0.5120; Precision: 0.5131; Recall: 0.9883; ROC AUC: 0.4983
+[2024-05-21 16:38:50,662 INFO] Epoch:1, Snapshot:101; F1: 0.6421; Accuracy: 0.4750; Precision: 0.4738; Recall: 0.9958; ROC AUC: 0.5017
+[2024-05-21 16:38:51,601 INFO] Epoch:1, Snapshot:102; F1: 0.6581; Accuracy: 0.4930; Precision: 0.4929; Recall: 0.9899; ROC AUC: 0.4999
+[2024-05-21 16:38:52,476 INFO] Epoch:1, Snapshot:103; F1: 0.6544; Accuracy: 0.4920; Precision: 0.4903; Recall: 0.9836; ROC AUC: 0.5026
+[2024-05-21 16:38:53,336 INFO] Epoch:1, Snapshot:104; F1: 0.6490; Accuracy: 0.4830; Precision: 0.4823; Recall: 0.9917; ROC AUC: 0.5007
+[2024-05-21 16:38:54,242 INFO] Epoch:1, Snapshot:105; F1: 0.6115; Accuracy: 0.4410; Precision: 0.4418; Recall: 0.9932; ROC AUC: 0.4975
+[2024-05-21 16:38:55,227 INFO] Epoch:1, Snapshot:106; F1: 0.5942; Accuracy: 0.4250; Precision: 0.4261; Recall: 0.9814; ROC AUC: 0.4942
+[2024-05-21 16:38:56,103 INFO] Epoch:1, Snapshot:107; F1: 0.6481; Accuracy: 0.4830; Precision: 0.4818; Recall: 0.9896; ROC AUC: 0.5015
+[2024-05-21 16:38:57,118 INFO] Epoch:1, Snapshot:108; F1: 0.6733; Accuracy: 0.5090; Precision: 0.5101; Recall: 0.9902; ROC AUC: 0.4982
+[2024-05-21 16:38:58,025 INFO] Epoch:1, Snapshot:109; F1: 0.6568; Accuracy: 0.4910; Precision: 0.4924; Recall: 0.9858; ROC AUC: 0.4969
+[2024-05-21 16:38:58,869 INFO] Epoch:1, Snapshot:110; F1: 0.6626; Accuracy: 0.4990; Precision: 0.4995; Recall: 0.9840; ROC AUC: 0.4990
+[2024-05-21 16:38:59,728 INFO] Epoch:1, Snapshot:111; F1: 0.6379; Accuracy: 0.4710; Precision: 0.4712; Recall: 0.9873; ROC AUC: 0.4984
+[2024-05-21 16:39:00,776 INFO] Epoch:1, Snapshot:112; F1: 0.6658; Accuracy: 0.5010; Precision: 0.5025; Recall: 0.9861; ROC AUC: 0.4971
+[2024-05-21 16:39:01,651 INFO] Epoch:1, Snapshot:113; F1: 0.6518; Accuracy: 0.4850; Precision: 0.4864; Recall: 0.9877; ROC AUC: 0.4968
+[2024-05-21 16:39:02,730 INFO] Epoch:1, Snapshot:114; F1: 0.6878; Accuracy: 0.5270; Precision: 0.5273; Recall: 0.9886; ROC AUC: 0.5006
+[2024-05-21 16:39:03,793 INFO] Epoch:1, Snapshot:115; F1: 0.6431; Accuracy: 0.4760; Precision: 0.4753; Recall: 0.9937; ROC AUC: 0.5007
+[2024-05-21 16:39:04,840 INFO] Epoch:1, Snapshot:116; F1: 0.6555; Accuracy: 0.4880; Precision: 0.4904; Recall: 0.9878; ROC AUC: 0.4949
+[2024-05-21 16:39:05,887 INFO] Epoch:1, Snapshot:117; F1: 0.6421; Accuracy: 0.4760; Precision: 0.4757; Recall: 0.9874; ROC AUC: 0.4994
+[2024-05-21 16:39:06,856 INFO] Epoch:1, Snapshot:118; F1: 0.6870; Accuracy: 0.5270; Precision: 0.5248; Recall: 0.9943; ROC AUC: 0.5055
+[2024-05-21 16:39:07,841 INFO] Epoch:1, Snapshot:119; F1: 0.6517; Accuracy: 0.4870; Precision: 0.4883; Recall: 0.9796; ROC AUC: 0.4967
+[2024-05-21 16:39:08,888 INFO] Epoch:1, Snapshot:120; F1: 0.6518; Accuracy: 0.4840; Precision: 0.4840; Recall: 0.9979; ROC AUC: 0.4999
+[2024-05-21 16:39:09,825 INFO] Epoch:1, Snapshot:121; F1: 0.6608; Accuracy: 0.4960; Precision: 0.4965; Recall: 0.9879; ROC AUC: 0.4989
+[2024-05-21 16:39:10,721 INFO] Epoch:1, Snapshot:122; F1: 0.6993; Accuracy: 0.5390; Precision: 0.5387; Recall: 0.9963; ROC AUC: 0.5014
+[2024-05-21 16:39:11,732 INFO] Epoch:1, Snapshot:123; F1: 0.6550; Accuracy: 0.4890; Precision: 0.4879; Recall: 0.9959; ROC AUC: 0.5018
+[2024-05-21 16:39:11,732 INFO] Epoch:1, Snapshot: 24; Loss: 1.0076
+[2024-05-21 16:39:18,562 INFO] Epoch:1, Snapshot:37; F1: 0.6983; Accuracy: 0.5550; Precision: 0.5691; Recall: 0.9035; ROC AUC: 0.4983
+[2024-05-21 16:39:19,405 INFO] Epoch:1, Snapshot:38; F1: 0.6802; Accuracy: 0.5420; Precision: 0.5466; Recall: 0.9002; ROC AUC: 0.5100
+[2024-05-21 16:39:20,124 INFO] Epoch:1, Snapshot:39; F1: 0.6227; Accuracy: 0.4740; Precision: 0.4707; Recall: 0.9195; ROC AUC: 0.4976
+[2024-05-21 16:39:20,922 INFO] Epoch:1, Snapshot:40; F1: 0.6685; Accuracy: 0.5290; Precision: 0.5278; Recall: 0.9117; ROC AUC: 0.5122
+[2024-05-21 16:39:21,719 INFO] Epoch:1, Snapshot:41; F1: 0.6265; Accuracy: 0.4850; Precision: 0.4773; Recall: 0.9114; ROC AUC: 0.5061
+[2024-05-21 16:39:22,548 INFO] Epoch:1, Snapshot:42; F1: 0.6431; Accuracy: 0.5050; Precision: 0.4934; Recall: 0.9234; ROC AUC: 0.5188
+[2024-05-21 16:39:23,376 INFO] Epoch:1, Snapshot:43; F1: 0.6181; Accuracy: 0.4760; Precision: 0.4649; Recall: 0.9217; ROC AUC: 0.5090
+[2024-05-21 16:39:24,220 INFO] Epoch:1, Snapshot:44; F1: 0.6801; Accuracy: 0.5400; Precision: 0.5452; Recall: 0.9039; ROC AUC: 0.5075
+[2024-05-21 16:39:25,080 INFO] Epoch:1, Snapshot:45; F1: 0.6718; Accuracy: 0.5300; Precision: 0.5380; Recall: 0.8941; ROC AUC: 0.5001
+[2024-05-21 16:39:25,986 INFO] Epoch:1, Snapshot:46; F1: 0.6495; Accuracy: 0.5100; Precision: 0.5073; Recall: 0.9026; ROC AUC: 0.5076
+[2024-05-21 16:39:26,720 INFO] Epoch:1, Snapshot:47; F1: 0.6268; Accuracy: 0.4880; Precision: 0.4772; Recall: 0.9130; ROC AUC: 0.5113
+[2024-05-21 16:39:27,643 INFO] Epoch:1, Snapshot:48; F1: 0.6149; Accuracy: 0.4740; Precision: 0.4698; Recall: 0.8898; ROC AUC: 0.4961
+[2024-05-21 16:39:28,518 INFO] Epoch:1, Snapshot:49; F1: 0.6582; Accuracy: 0.5160; Precision: 0.5143; Recall: 0.9137; ROC AUC: 0.5079
+[2024-05-21 16:39:29,346 INFO] Epoch:1, Snapshot:50; F1: 0.6147; Accuracy: 0.4710; Precision: 0.4653; Recall: 0.9056; ROC AUC: 0.4987
+[2024-05-21 16:39:30,175 INFO] Epoch:1, Snapshot:51; F1: 0.6323; Accuracy: 0.4930; Precision: 0.4899; Recall: 0.8916; ROC AUC: 0.5016
+[2024-05-21 16:39:31,035 INFO] Epoch:1, Snapshot:52; F1: 0.6488; Accuracy: 0.5030; Precision: 0.5106; Recall: 0.8895; ROC AUC: 0.4902
+[2024-05-21 16:39:31,910 INFO] Epoch:1, Snapshot:53; F1: 0.6657; Accuracy: 0.5310; Precision: 0.5271; Recall: 0.9033; ROC AUC: 0.5179
+[2024-05-21 16:39:32,707 INFO] Epoch:1, Snapshot:54; F1: 0.6191; Accuracy: 0.4770; Precision: 0.4717; Recall: 0.9004; ROC AUC: 0.4995
+[2024-05-21 16:39:33,582 INFO] Epoch:1, Snapshot:55; F1: 0.6709; Accuracy: 0.5280; Precision: 0.5339; Recall: 0.9024; ROC AUC: 0.5015
+[2024-05-21 16:39:34,431 INFO] Epoch:1, Snapshot:56; F1: 0.6562; Accuracy: 0.5170; Precision: 0.5174; Recall: 0.8969; ROC AUC: 0.5061
+[2024-05-21 16:39:35,239 INFO] Epoch:1, Snapshot:57; F1: 0.6648; Accuracy: 0.5270; Precision: 0.5217; Recall: 0.9160; ROC AUC: 0.5174
+[2024-05-21 16:39:36,083 INFO] Epoch:1, Snapshot:58; F1: 0.6460; Accuracy: 0.5080; Precision: 0.5028; Recall: 0.9034; ROC AUC: 0.5104
+[2024-05-21 16:39:37,021 INFO] Epoch:1, Snapshot:59; F1: 0.6731; Accuracy: 0.5290; Precision: 0.5359; Recall: 0.9049; ROC AUC: 0.4998
+[2024-05-21 16:39:37,927 INFO] Epoch:1, Snapshot:60; F1: 0.6435; Accuracy: 0.4980; Precision: 0.5033; Recall: 0.8917; ROC AUC: 0.4916
+[2024-05-21 16:39:38,943 INFO] Epoch:1, Snapshot:61; F1: 0.6358; Accuracy: 0.4970; Precision: 0.4883; Recall: 0.9108; ROC AUC: 0.5114
+[2024-05-21 16:39:39,943 INFO] Epoch:1, Snapshot:62; F1: 0.6301; Accuracy: 0.4880; Precision: 0.4828; Recall: 0.9064; ROC AUC: 0.5033
+[2024-05-21 16:39:41,039 INFO] Epoch:1, Snapshot:63; F1: 0.6506; Accuracy: 0.5060; Precision: 0.5055; Recall: 0.9127; ROC AUC: 0.5027
+[2024-05-21 16:39:42,007 INFO] Epoch:1, Snapshot:64; F1: 0.6161; Accuracy: 0.4790; Precision: 0.4713; Recall: 0.8894; ROC AUC: 0.5022
+[2024-05-21 16:39:42,882 INFO] Epoch:1, Snapshot:65; F1: 0.6060; Accuracy: 0.4590; Precision: 0.4602; Recall: 0.8870; ROC AUC: 0.4840
+[2024-05-21 16:39:43,836 INFO] Epoch:1, Snapshot:66; F1: 0.6846; Accuracy: 0.5440; Precision: 0.5587; Recall: 0.8839; ROC AUC: 0.4976
+[2024-05-21 16:39:44,664 INFO] Epoch:1, Snapshot:67; F1: 0.6291; Accuracy: 0.4870; Precision: 0.4926; Recall: 0.8700; ROC AUC: 0.4870
+[2024-05-21 16:39:45,430 INFO] Epoch:1, Snapshot:68; F1: 0.6361; Accuracy: 0.5000; Precision: 0.4899; Recall: 0.9066; ROC AUC: 0.5141
+[2024-05-21 16:39:46,290 INFO] Epoch:1, Snapshot:69; F1: 0.6476; Accuracy: 0.5080; Precision: 0.4989; Recall: 0.9224; ROC AUC: 0.5161
+[2024-05-21 16:39:47,228 INFO] Epoch:1, Snapshot:70; F1: 0.6776; Accuracy: 0.5490; Precision: 0.5423; Recall: 0.9029; ROC AUC: 0.5304
+[2024-05-21 16:39:48,062 INFO] Epoch:1, Snapshot:71; F1: 0.6392; Accuracy: 0.5000; Precision: 0.4955; Recall: 0.9004; ROC AUC: 0.5063
+[2024-05-21 16:39:48,885 INFO] Epoch:1, Snapshot:72; F1: 0.6267; Accuracy: 0.4890; Precision: 0.4772; Recall: 0.9128; ROC AUC: 0.5130
+[2024-05-21 16:39:49,573 INFO] Epoch:1, Snapshot:73; F1: 0.5816; Accuracy: 0.4460; Precision: 0.4302; Recall: 0.8974; ROC AUC: 0.5021
+[2024-05-21 16:39:50,339 INFO] Epoch:1, Snapshot:74; F1: 0.5943; Accuracy: 0.4620; Precision: 0.4467; Recall: 0.8874; ROC AUC: 0.5048
+[2024-05-21 16:39:51,198 INFO] Epoch:1, Snapshot:75; F1: 0.6009; Accuracy: 0.4580; Precision: 0.4548; Recall: 0.8850; ROC AUC: 0.4889
+[2024-05-21 16:39:51,951 INFO] Epoch:1, Snapshot:76; F1: 0.6202; Accuracy: 0.4710; Precision: 0.4752; Recall: 0.8926; ROC AUC: 0.4841
+[2024-05-21 16:39:52,886 INFO] Epoch:1, Snapshot:77; F1: 0.6619; Accuracy: 0.5250; Precision: 0.5161; Recall: 0.9226; ROC AUC: 0.5218
+[2024-05-21 16:39:53,808 INFO] Epoch:1, Snapshot:78; F1: 0.6790; Accuracy: 0.5330; Precision: 0.5423; Recall: 0.9081; ROC AUC: 0.4968
+[2024-05-21 16:39:54,700 INFO] Epoch:1, Snapshot:79; F1: 0.6681; Accuracy: 0.5250; Precision: 0.5270; Recall: 0.9122; ROC AUC: 0.5055
+[2024-05-21 16:39:55,575 INFO] Epoch:1, Snapshot:80; F1: 0.6408; Accuracy: 0.5000; Precision: 0.5000; Recall: 0.8920; ROC AUC: 0.5000
+[2024-05-21 16:39:56,513 INFO] Epoch:1, Snapshot:81; F1: 0.6554; Accuracy: 0.5100; Precision: 0.5155; Recall: 0.8996; ROC AUC: 0.4955
+[2024-05-21 16:39:57,325 INFO] Epoch:1, Snapshot:82; F1: 0.6149; Accuracy: 0.4740; Precision: 0.4672; Recall: 0.8994; ROC AUC: 0.5003
+[2024-05-21 16:39:58,310 INFO] Epoch:1, Snapshot:83; F1: 0.6602; Accuracy: 0.5120; Precision: 0.5203; Recall: 0.9029; ROC AUC: 0.4914
+[2024-05-21 16:39:59,122 INFO] Epoch:1, Snapshot:84; F1: 0.6592; Accuracy: 0.5160; Precision: 0.5188; Recall: 0.9035; ROC AUC: 0.5015
+[2024-05-21 16:39:59,998 INFO] Epoch:1, Snapshot:85; F1: 0.6587; Accuracy: 0.5170; Precision: 0.5242; Recall: 0.8859; ROC AUC: 0.4968
+[2024-05-21 16:40:00,873 INFO] Epoch:1, Snapshot:86; F1: 0.6510; Accuracy: 0.5110; Precision: 0.5101; Recall: 0.8994; ROC AUC: 0.5055
+[2024-05-21 16:40:01,795 INFO] Epoch:1, Snapshot:87; F1: 0.6333; Accuracy: 0.4950; Precision: 0.4882; Recall: 0.9008; ROC AUC: 0.5076
+[2024-05-21 16:40:02,639 INFO] Epoch:1, Snapshot:88; F1: 0.6314; Accuracy: 0.4850; Precision: 0.4873; Recall: 0.8963; ROC AUC: 0.4915
+[2024-05-21 16:40:03,701 INFO] Epoch:1, Snapshot:89; F1: 0.6844; Accuracy: 0.5480; Precision: 0.5512; Recall: 0.9024; ROC AUC: 0.5147
+[2024-05-21 16:40:04,467 INFO] Epoch:1, Snapshot:90; F1: 0.6224; Accuracy: 0.4820; Precision: 0.4782; Recall: 0.8914; ROC AUC: 0.4985
+[2024-05-21 16:40:05,374 INFO] Epoch:1, Snapshot:91; F1: 0.6815; Accuracy: 0.5420; Precision: 0.5463; Recall: 0.9057; ROC AUC: 0.5095
+[2024-05-21 16:40:06,218 INFO] Epoch:1, Snapshot:92; F1: 0.6248; Accuracy: 0.4800; Precision: 0.4790; Recall: 0.8983; ROC AUC: 0.4945
+[2024-05-21 16:40:07,046 INFO] Epoch:1, Snapshot:93; F1: 0.6491; Accuracy: 0.5080; Precision: 0.5056; Recall: 0.9064; ROC AUC: 0.5064
+[2024-05-21 16:40:07,796 INFO] Epoch:1, Snapshot:94; F1: 0.6277; Accuracy: 0.4840; Precision: 0.4839; Recall: 0.8932; ROC AUC: 0.4944
+[2024-05-21 16:40:08,671 INFO] Epoch:1, Snapshot:95; F1: 0.6634; Accuracy: 0.5220; Precision: 0.5263; Recall: 0.8971; ROC AUC: 0.5023
+[2024-05-21 16:40:09,593 INFO] Epoch:1, Snapshot:96; F1: 0.6431; Accuracy: 0.4960; Precision: 0.4967; Recall: 0.9116; ROC AUC: 0.4977
+[2024-05-21 16:40:10,530 INFO] Epoch:1, Snapshot:97; F1: 0.6634; Accuracy: 0.5150; Precision: 0.5247; Recall: 0.9019; ROC AUC: 0.4903
+[2024-05-21 16:40:11,281 INFO] Epoch:1, Snapshot:98; F1: 0.6548; Accuracy: 0.5140; Precision: 0.5151; Recall: 0.8986; ROC AUC: 0.5037
+[2024-05-21 16:40:12,141 INFO] Epoch:1, Snapshot:99; F1: 0.6189; Accuracy: 0.4680; Precision: 0.4763; Recall: 0.8834; ROC AUC: 0.4769
+[2024-05-21 16:40:13,250 INFO] Epoch:1, Snapshot:100; F1: 0.6596; Accuracy: 0.5170; Precision: 0.5171; Recall: 0.9105; ROC AUC: 0.5057
+[2024-05-21 16:40:14,110 INFO] Epoch:1, Snapshot:101; F1: 0.6249; Accuracy: 0.4790; Precision: 0.4738; Recall: 0.9175; ROC AUC: 0.5015
+[2024-05-21 16:40:14,954 INFO] Epoch:1, Snapshot:102; F1: 0.6381; Accuracy: 0.4930; Precision: 0.4923; Recall: 0.9067; ROC AUC: 0.4987
+[2024-05-21 16:40:15,830 INFO] Epoch:1, Snapshot:103; F1: 0.6330; Accuracy: 0.4990; Precision: 0.4932; Recall: 0.8834; ROC AUC: 0.5073
+[2024-05-21 16:40:16,642 INFO] Epoch:1, Snapshot:104; F1: 0.6314; Accuracy: 0.4910; Precision: 0.4850; Recall: 0.9046; ROC AUC: 0.5054
+[2024-05-21 16:40:17,549 INFO] Epoch:1, Snapshot:105; F1: 0.5866; Accuracy: 0.4460; Precision: 0.4381; Recall: 0.8871; ROC AUC: 0.4911
+[2024-05-21 16:40:18,487 INFO] Epoch:1, Snapshot:106; F1: 0.5854; Accuracy: 0.4490; Precision: 0.4322; Recall: 0.9068; ROC AUC: 0.5059
+[2024-05-21 16:40:19,393 INFO] Epoch:1, Snapshot:107; F1: 0.6272; Accuracy: 0.4840; Precision: 0.4806; Recall: 0.9023; ROC AUC: 0.4993
+[2024-05-21 16:40:20,362 INFO] Epoch:1, Snapshot:108; F1: 0.6489; Accuracy: 0.5000; Precision: 0.5060; Recall: 0.9041; ROC AUC: 0.4909
+[2024-05-21 16:40:21,268 INFO] Epoch:1, Snapshot:109; F1: 0.6473; Accuracy: 0.5150; Precision: 0.5051; Recall: 0.9008; ROC AUC: 0.5196
+[2024-05-21 16:40:22,112 INFO] Epoch:1, Snapshot:110; F1: 0.6388; Accuracy: 0.4990; Precision: 0.4994; Recall: 0.8860; ROC AUC: 0.4990
+[2024-05-21 16:40:22,925 INFO] Epoch:1, Snapshot:111; F1: 0.6254; Accuracy: 0.4860; Precision: 0.4767; Recall: 0.9089; ROC AUC: 0.5084
+[2024-05-21 16:40:23,941 INFO] Epoch:1, Snapshot:112; F1: 0.6486; Accuracy: 0.5060; Precision: 0.5055; Recall: 0.9048; ROC AUC: 0.5028
+[2024-05-21 16:40:24,831 INFO] Epoch:1, Snapshot:113; F1: 0.6354; Accuracy: 0.4940; Precision: 0.4900; Recall: 0.9037; ROC AUC: 0.5036
+[2024-05-21 16:40:25,895 INFO] Epoch:1, Snapshot:114; F1: 0.6629; Accuracy: 0.5180; Precision: 0.5249; Recall: 0.8994; ROC AUC: 0.4962
+[2024-05-21 16:40:26,973 INFO] Epoch:1, Snapshot:115; F1: 0.6221; Accuracy: 0.4800; Precision: 0.4750; Recall: 0.9011; ROC AUC: 0.5001
+[2024-05-21 16:40:27,957 INFO] Epoch:1, Snapshot:116; F1: 0.6429; Accuracy: 0.4990; Precision: 0.4956; Recall: 0.9148; ROC AUC: 0.5047
+[2024-05-21 16:40:28,989 INFO] Epoch:1, Snapshot:117; F1: 0.6162; Accuracy: 0.4730; Precision: 0.4716; Recall: 0.8887; ROC AUC: 0.4920
+[2024-05-21 16:40:29,974 INFO] Epoch:1, Snapshot:118; F1: 0.6597; Accuracy: 0.5110; Precision: 0.5180; Recall: 0.9080; ROC AUC: 0.4927
+[2024-05-21 16:40:30,943 INFO] Epoch:1, Snapshot:119; F1: 0.6356; Accuracy: 0.4910; Precision: 0.4895; Recall: 0.9061; ROC AUC: 0.4991
+[2024-05-21 16:40:31,928 INFO] Epoch:1, Snapshot:120; F1: 0.6276; Accuracy: 0.4790; Precision: 0.4798; Recall: 0.9070; ROC AUC: 0.4923
+[2024-05-21 16:40:32,850 INFO] Epoch:1, Snapshot:121; F1: 0.6515; Accuracy: 0.5090; Precision: 0.5033; Recall: 0.9235; ROC AUC: 0.5115
+[2024-05-21 16:40:33,757 INFO] Epoch:1, Snapshot:122; F1: 0.6708; Accuracy: 0.5270; Precision: 0.5362; Recall: 0.8959; ROC AUC: 0.4967
+[2024-05-21 16:40:34,773 INFO] Epoch:1, Snapshot:123; F1: 0.6226; Accuracy: 0.4800; Precision: 0.4815; Recall: 0.8809; ROC AUC: 0.4902
+[2024-05-21 16:40:34,773 INFO] Epoch:1, Snapshot: 25; Loss: 0.9097
+[2024-05-21 16:40:42,071 INFO] Epoch:1, Snapshot:37; F1: 0.6919; Accuracy: 0.5450; Precision: 0.5634; Recall: 0.8965; ROC AUC: 0.4878
+[2024-05-21 16:40:42,915 INFO] Epoch:1, Snapshot:38; F1: 0.6804; Accuracy: 0.5340; Precision: 0.5409; Recall: 0.9168; ROC AUC: 0.4998
+[2024-05-21 16:40:43,666 INFO] Epoch:1, Snapshot:39; F1: 0.6193; Accuracy: 0.4800; Precision: 0.4732; Recall: 0.8962; ROC AUC: 0.5021
+[2024-05-21 16:40:44,463 INFO] Epoch:1, Snapshot:40; F1: 0.6657; Accuracy: 0.5190; Precision: 0.5218; Recall: 0.9194; ROC AUC: 0.5014
+[2024-05-21 16:40:45,275 INFO] Epoch:1, Snapshot:41; F1: 0.6224; Accuracy: 0.4770; Precision: 0.4731; Recall: 0.9093; ROC AUC: 0.4984
+[2024-05-21 16:40:46,120 INFO] Epoch:1, Snapshot:42; F1: 0.6228; Accuracy: 0.4780; Precision: 0.4784; Recall: 0.8923; ROC AUC: 0.4916
+[2024-05-21 16:40:46,901 INFO] Epoch:1, Snapshot:43; F1: 0.6168; Accuracy: 0.4830; Precision: 0.4679; Recall: 0.9043; ROC AUC: 0.5142
+[2024-05-21 16:40:47,729 INFO] Epoch:1, Snapshot:44; F1: 0.6796; Accuracy: 0.5380; Precision: 0.5438; Recall: 0.9057; ROC AUC: 0.5052
+[2024-05-21 16:40:48,667 INFO] Epoch:1, Snapshot:45; F1: 0.6861; Accuracy: 0.5470; Precision: 0.5470; Recall: 0.9201; ROC AUC: 0.5163
+[2024-05-21 16:40:49,558 INFO] Epoch:1, Snapshot:46; F1: 0.6483; Accuracy: 0.5010; Precision: 0.5022; Recall: 0.9145; ROC AUC: 0.4985
+[2024-05-21 16:40:50,292 INFO] Epoch:1, Snapshot:47; F1: 0.6158; Accuracy: 0.4710; Precision: 0.4680; Recall: 0.9002; ROC AUC: 0.4945
+[2024-05-21 16:40:51,199 INFO] Epoch:1, Snapshot:48; F1: 0.6208; Accuracy: 0.4760; Precision: 0.4714; Recall: 0.9089; ROC AUC: 0.4990
+[2024-05-21 16:40:52,090 INFO] Epoch:1, Snapshot:49; F1: 0.6620; Accuracy: 0.5180; Precision: 0.5153; Recall: 0.9255; ROC AUC: 0.5097
+[2024-05-21 16:40:52,902 INFO] Epoch:1, Snapshot:50; F1: 0.6156; Accuracy: 0.4680; Precision: 0.4641; Recall: 0.9142; ROC AUC: 0.4964
+[2024-05-21 16:40:53,778 INFO] Epoch:1, Snapshot:51; F1: 0.6305; Accuracy: 0.4830; Precision: 0.4846; Recall: 0.9018; ROC AUC: 0.4920
+[2024-05-21 16:40:54,637 INFO] Epoch:1, Snapshot:52; F1: 0.6537; Accuracy: 0.5030; Precision: 0.5103; Recall: 0.9089; ROC AUC: 0.4896
+[2024-05-21 16:40:55,543 INFO] Epoch:1, Snapshot:53; F1: 0.6559; Accuracy: 0.5090; Precision: 0.5143; Recall: 0.9052; ROC AUC: 0.4951
+[2024-05-21 16:40:56,372 INFO] Epoch:1, Snapshot:54; F1: 0.6222; Accuracy: 0.4850; Precision: 0.4759; Recall: 0.8983; ROC AUC: 0.5069
+[2024-05-21 16:40:57,215 INFO] Epoch:1, Snapshot:55; F1: 0.6644; Accuracy: 0.5140; Precision: 0.5257; Recall: 0.9024; ROC AUC: 0.4866
+[2024-05-21 16:40:58,076 INFO] Epoch:1, Snapshot:56; F1: 0.6521; Accuracy: 0.5060; Precision: 0.5110; Recall: 0.9008; ROC AUC: 0.4946
+[2024-05-21 16:40:58,826 INFO] Epoch:1, Snapshot:57; F1: 0.6563; Accuracy: 0.5130; Precision: 0.5138; Recall: 0.9082; ROC AUC: 0.5033
+[2024-05-21 16:40:59,654 INFO] Epoch:1, Snapshot:58; F1: 0.6516; Accuracy: 0.5070; Precision: 0.5022; Recall: 0.9276; ROC AUC: 0.5095
+[2024-05-21 16:41:00,608 INFO] Epoch:1, Snapshot:59; F1: 0.6797; Accuracy: 0.5400; Precision: 0.5422; Recall: 0.9104; ROC AUC: 0.5113
+[2024-05-21 16:41:01,483 INFO] Epoch:1, Snapshot:60; F1: 0.6488; Accuracy: 0.5010; Precision: 0.5049; Recall: 0.9075; ROC AUC: 0.4944
+[2024-05-21 16:41:02,499 INFO] Epoch:1, Snapshot:61; F1: 0.6272; Accuracy: 0.4840; Precision: 0.4812; Recall: 0.9004; ROC AUC: 0.4985
+[2024-05-21 16:41:03,500 INFO] Epoch:1, Snapshot:62; F1: 0.6091; Accuracy: 0.4610; Precision: 0.4677; Recall: 0.8732; ROC AUC: 0.4761
+[2024-05-21 16:41:04,531 INFO] Epoch:1, Snapshot:63; F1: 0.6592; Accuracy: 0.5150; Precision: 0.5103; Recall: 0.9306; ROC AUC: 0.5116
+[2024-05-21 16:41:05,500 INFO] Epoch:1, Snapshot:64; F1: 0.6186; Accuracy: 0.4760; Precision: 0.4701; Recall: 0.9043; ROC AUC: 0.5002
+[2024-05-21 16:41:06,391 INFO] Epoch:1, Snapshot:65; F1: 0.6143; Accuracy: 0.4700; Precision: 0.4663; Recall: 0.8998; ROC AUC: 0.4951
+[2024-05-21 16:41:07,360 INFO] Epoch:1, Snapshot:66; F1: 0.7026; Accuracy: 0.5640; Precision: 0.5684; Recall: 0.9196; ROC AUC: 0.5155
+[2024-05-21 16:41:08,188 INFO] Epoch:1, Snapshot:67; F1: 0.6520; Accuracy: 0.5090; Precision: 0.5049; Recall: 0.9200; ROC AUC: 0.5090
+[2024-05-21 16:41:08,969 INFO] Epoch:1, Snapshot:68; F1: 0.6255; Accuracy: 0.4840; Precision: 0.4810; Recall: 0.8942; ROC AUC: 0.4983
+[2024-05-21 16:41:09,813 INFO] Epoch:1, Snapshot:69; F1: 0.6475; Accuracy: 0.5090; Precision: 0.4994; Recall: 0.9204; ROC AUC: 0.5171
+[2024-05-21 16:41:10,767 INFO] Epoch:1, Snapshot:70; F1: 0.6620; Accuracy: 0.5160; Precision: 0.5226; Recall: 0.9029; ROC AUC: 0.4956
+[2024-05-21 16:41:11,595 INFO] Epoch:1, Snapshot:71; F1: 0.6400; Accuracy: 0.4960; Precision: 0.4934; Recall: 0.9106; ROC AUC: 0.5025
+[2024-05-21 16:41:12,455 INFO] Epoch:1, Snapshot:72; F1: 0.6247; Accuracy: 0.4810; Precision: 0.4732; Recall: 0.9191; ROC AUC: 0.5058
+[2024-05-21 16:41:13,174 INFO] Epoch:1, Snapshot:73; F1: 0.5825; Accuracy: 0.4480; Precision: 0.4311; Recall: 0.8974; ROC AUC: 0.5039
+[2024-05-21 16:41:13,956 INFO] Epoch:1, Snapshot:74; F1: 0.6003; Accuracy: 0.4540; Precision: 0.4447; Recall: 0.9234; ROC AUC: 0.5013
+[2024-05-21 16:41:14,753 INFO] Epoch:1, Snapshot:75; F1: 0.6167; Accuracy: 0.4780; Precision: 0.4661; Recall: 0.9111; ROC AUC: 0.5093
+[2024-05-21 16:41:15,519 INFO] Epoch:1, Snapshot:76; F1: 0.6355; Accuracy: 0.4930; Precision: 0.4873; Recall: 0.9132; ROC AUC: 0.5060
+[2024-05-21 16:41:16,426 INFO] Epoch:1, Snapshot:77; F1: 0.6405; Accuracy: 0.4970; Precision: 0.5006; Recall: 0.8889; ROC AUC: 0.4938
+[2024-05-21 16:41:17,332 INFO] Epoch:1, Snapshot:78; F1: 0.6833; Accuracy: 0.5440; Precision: 0.5491; Recall: 0.9044; ROC AUC: 0.5092
+[2024-05-21 16:41:18,208 INFO] Epoch:1, Snapshot:79; F1: 0.6709; Accuracy: 0.5280; Precision: 0.5286; Recall: 0.9179; ROC AUC: 0.5083
+[2024-05-21 16:41:19,052 INFO] Epoch:1, Snapshot:80; F1: 0.6530; Accuracy: 0.5090; Precision: 0.5049; Recall: 0.9240; ROC AUC: 0.5090
+[2024-05-21 16:41:19,974 INFO] Epoch:1, Snapshot:81; F1: 0.6643; Accuracy: 0.5290; Precision: 0.5266; Recall: 0.8996; ROC AUC: 0.5152
+[2024-05-21 16:41:20,771 INFO] Epoch:1, Snapshot:82; F1: 0.6012; Accuracy: 0.4560; Precision: 0.4571; Recall: 0.8779; ROC AUC: 0.4821
+[2024-05-21 16:41:21,757 INFO] Epoch:1, Snapshot:83; F1: 0.6657; Accuracy: 0.5210; Precision: 0.5253; Recall: 0.9086; ROC AUC: 0.5006
+[2024-05-21 16:41:22,601 INFO] Epoch:1, Snapshot:84; F1: 0.6671; Accuracy: 0.5240; Precision: 0.5230; Recall: 0.9208; ROC AUC: 0.5092
+[2024-05-21 16:41:23,460 INFO] Epoch:1, Snapshot:85; F1: 0.6587; Accuracy: 0.5120; Precision: 0.5210; Recall: 0.8954; ROC AUC: 0.4910
+[2024-05-21 16:41:24,398 INFO] Epoch:1, Snapshot:86; F1: 0.6543; Accuracy: 0.5170; Precision: 0.5135; Recall: 0.9014; ROC AUC: 0.5115
+[2024-05-21 16:41:25,351 INFO] Epoch:1, Snapshot:87; F1: 0.6419; Accuracy: 0.4990; Precision: 0.4907; Recall: 0.9277; ROC AUC: 0.5123
+[2024-05-21 16:41:26,216 INFO] Epoch:1, Snapshot:88; F1: 0.6408; Accuracy: 0.5000; Precision: 0.4956; Recall: 0.9065; ROC AUC: 0.5064
+[2024-05-21 16:41:27,226 INFO] Epoch:1, Snapshot:89; F1: 0.6873; Accuracy: 0.5450; Precision: 0.5482; Recall: 0.9208; ROC AUC: 0.5096
+[2024-05-21 16:41:28,054 INFO] Epoch:1, Snapshot:90; F1: 0.6254; Accuracy: 0.4800; Precision: 0.4774; Recall: 0.9061; ROC AUC: 0.4972
+[2024-05-21 16:41:28,961 INFO] Epoch:1, Snapshot:91; F1: 0.6810; Accuracy: 0.5390; Precision: 0.5442; Recall: 0.9094; ROC AUC: 0.5059
+[2024-05-21 16:41:29,821 INFO] Epoch:1, Snapshot:92; F1: 0.6229; Accuracy: 0.4770; Precision: 0.4773; Recall: 0.8963; ROC AUC: 0.4916
+[2024-05-21 16:41:30,633 INFO] Epoch:1, Snapshot:93; F1: 0.6488; Accuracy: 0.5020; Precision: 0.5022; Recall: 0.9163; ROC AUC: 0.5003
+[2024-05-21 16:41:31,415 INFO] Epoch:1, Snapshot:94; F1: 0.6300; Accuracy: 0.4820; Precision: 0.4830; Recall: 0.9055; ROC AUC: 0.4927
+[2024-05-21 16:41:32,290 INFO] Epoch:1, Snapshot:95; F1: 0.6685; Accuracy: 0.5290; Precision: 0.5301; Recall: 0.9048; ROC AUC: 0.5092
+[2024-05-21 16:41:33,197 INFO] Epoch:1, Snapshot:96; F1: 0.6388; Accuracy: 0.4980; Precision: 0.4978; Recall: 0.8916; ROC AUC: 0.4996
+[2024-05-21 16:41:34,135 INFO] Epoch:1, Snapshot:97; F1: 0.6778; Accuracy: 0.5380; Precision: 0.5376; Recall: 0.9170; ROC AUC: 0.5138
+[2024-05-21 16:41:34,854 INFO] Epoch:1, Snapshot:98; F1: 0.6639; Accuracy: 0.5210; Precision: 0.5186; Recall: 0.9220; ROC AUC: 0.5103
+[2024-05-21 16:41:35,729 INFO] Epoch:1, Snapshot:99; F1: 0.6479; Accuracy: 0.5120; Precision: 0.5006; Recall: 0.9182; ROC AUC: 0.5207
+[2024-05-21 16:41:36,808 INFO] Epoch:1, Snapshot:100; F1: 0.6611; Accuracy: 0.5150; Precision: 0.5158; Recall: 0.9202; ROC AUC: 0.5033
+[2024-05-21 16:41:37,667 INFO] Epoch:1, Snapshot:101; F1: 0.6103; Accuracy: 0.4650; Precision: 0.4656; Recall: 0.8858; ROC AUC: 0.4866
+[2024-05-21 16:41:38,511 INFO] Epoch:1, Snapshot:102; F1: 0.6368; Accuracy: 0.4890; Precision: 0.4902; Recall: 0.9087; ROC AUC: 0.4948
+[2024-05-21 16:41:39,371 INFO] Epoch:1, Snapshot:103; F1: 0.6482; Accuracy: 0.5050; Precision: 0.4967; Recall: 0.9325; ROC AUC: 0.5142
+[2024-05-21 16:41:40,247 INFO] Epoch:1, Snapshot:104; F1: 0.6371; Accuracy: 0.4930; Precision: 0.4863; Recall: 0.9232; ROC AUC: 0.5080
+[2024-05-21 16:41:41,185 INFO] Epoch:1, Snapshot:105; F1: 0.5940; Accuracy: 0.4560; Precision: 0.4437; Recall: 0.8984; ROC AUC: 0.5013
+[2024-05-21 16:41:42,123 INFO] Epoch:1, Snapshot:106; F1: 0.5791; Accuracy: 0.4390; Precision: 0.4270; Recall: 0.8998; ROC AUC: 0.4963
+[2024-05-21 16:41:43,014 INFO] Epoch:1, Snapshot:107; F1: 0.6315; Accuracy: 0.4830; Precision: 0.4805; Recall: 0.9210; ROC AUC: 0.4990
+[2024-05-21 16:41:44,015 INFO] Epoch:1, Snapshot:108; F1: 0.6405; Accuracy: 0.4970; Precision: 0.5045; Recall: 0.8767; ROC AUC: 0.4885
+[2024-05-21 16:41:44,921 INFO] Epoch:1, Snapshot:109; F1: 0.6453; Accuracy: 0.5010; Precision: 0.4973; Recall: 0.9190; ROC AUC: 0.5060
+[2024-05-21 16:41:45,749 INFO] Epoch:1, Snapshot:110; F1: 0.6528; Accuracy: 0.5160; Precision: 0.5089; Recall: 0.9100; ROC AUC: 0.5160
+[2024-05-21 16:41:46,609 INFO] Epoch:1, Snapshot:111; F1: 0.6126; Accuracy: 0.4700; Precision: 0.4676; Recall: 0.8877; ROC AUC: 0.4922
+[2024-05-21 16:41:47,640 INFO] Epoch:1, Snapshot:112; F1: 0.6508; Accuracy: 0.5000; Precision: 0.5022; Recall: 0.9246; ROC AUC: 0.4966
+[2024-05-21 16:41:48,531 INFO] Epoch:1, Snapshot:113; F1: 0.6409; Accuracy: 0.4980; Precision: 0.4923; Recall: 0.9180; ROC AUC: 0.5078
+[2024-05-21 16:41:49,641 INFO] Epoch:1, Snapshot:114; F1: 0.6667; Accuracy: 0.5220; Precision: 0.5270; Recall: 0.9070; ROC AUC: 0.5000
+[2024-05-21 16:41:50,704 INFO] Epoch:1, Snapshot:115; F1: 0.6291; Accuracy: 0.4870; Precision: 0.4791; Recall: 0.9158; ROC AUC: 0.5074
+[2024-05-21 16:41:51,704 INFO] Epoch:1, Snapshot:116; F1: 0.6266; Accuracy: 0.4780; Precision: 0.4840; Recall: 0.8884; ROC AUC: 0.4837
+[2024-05-21 16:41:52,735 INFO] Epoch:1, Snapshot:117; F1: 0.6057; Accuracy: 0.4570; Precision: 0.4628; Recall: 0.8761; ROC AUC: 0.4762
+[2024-05-21 16:41:53,689 INFO] Epoch:1, Snapshot:118; F1: 0.6535; Accuracy: 0.5080; Precision: 0.5167; Recall: 0.8889; ROC AUC: 0.4905
+[2024-05-21 16:41:54,673 INFO] Epoch:1, Snapshot:119; F1: 0.6387; Accuracy: 0.4920; Precision: 0.4902; Recall: 0.9163; ROC AUC: 0.5003
+[2024-05-21 16:41:55,658 INFO] Epoch:1, Snapshot:120; F1: 0.6316; Accuracy: 0.4820; Precision: 0.4816; Recall: 0.9174; ROC AUC: 0.4955
+[2024-05-21 16:41:56,642 INFO] Epoch:1, Snapshot:121; F1: 0.6374; Accuracy: 0.4880; Precision: 0.4918; Recall: 0.9054; ROC AUC: 0.4905
+[2024-05-21 16:41:57,564 INFO] Epoch:1, Snapshot:122; F1: 0.6713; Accuracy: 0.5300; Precision: 0.5381; Recall: 0.8922; ROC AUC: 0.5002
+[2024-05-21 16:41:58,612 INFO] Epoch:1, Snapshot:123; F1: 0.6289; Accuracy: 0.4760; Precision: 0.4800; Recall: 0.9117; ROC AUC: 0.4870
+[2024-05-21 16:41:58,627 INFO] Epoch:1, Snapshot: 26; Loss: 0.7620
+[2024-05-21 16:42:05,802 INFO] Epoch:1, Snapshot:37; F1: 0.7245; Accuracy: 0.5710; Precision: 0.5714; Recall: 0.9895; ROC AUC: 0.5029
+[2024-05-21 16:42:06,661 INFO] Epoch:1, Snapshot:38; F1: 0.6985; Accuracy: 0.5390; Precision: 0.5405; Recall: 0.9871; ROC AUC: 0.4990
+[2024-05-21 16:42:07,365 INFO] Epoch:1, Snapshot:39; F1: 0.6389; Accuracy: 0.4710; Precision: 0.4713; Recall: 0.9915; ROC AUC: 0.4986
+[2024-05-21 16:42:08,193 INFO] Epoch:1, Snapshot:40; F1: 0.6847; Accuracy: 0.5220; Precision: 0.5216; Recall: 0.9962; ROC AUC: 0.5012
+[2024-05-21 16:42:08,943 INFO] Epoch:1, Snapshot:41; F1: 0.6393; Accuracy: 0.4720; Precision: 0.4727; Recall: 0.9873; ROC AUC: 0.4975
+[2024-05-21 16:42:09,771 INFO] Epoch:1, Snapshot:42; F1: 0.6513; Accuracy: 0.4870; Precision: 0.4848; Recall: 0.9917; ROC AUC: 0.5036
+[2024-05-21 16:42:10,584 INFO] Epoch:1, Snapshot:43; F1: 0.6257; Accuracy: 0.4580; Precision: 0.4585; Recall: 0.9848; ROC AUC: 0.4970
+[2024-05-21 16:42:11,412 INFO] Epoch:1, Snapshot:44; F1: 0.6993; Accuracy: 0.5400; Precision: 0.5410; Recall: 0.9889; ROC AUC: 0.4999
+[2024-05-21 16:42:12,257 INFO] Epoch:1, Snapshot:45; F1: 0.6946; Accuracy: 0.5340; Precision: 0.5364; Recall: 0.9851; ROC AUC: 0.4969
+[2024-05-21 16:42:13,179 INFO] Epoch:1, Snapshot:46; F1: 0.6667; Accuracy: 0.5010; Precision: 0.5020; Recall: 0.9920; ROC AUC: 0.4980
+[2024-05-21 16:42:13,929 INFO] Epoch:1, Snapshot:47; F1: 0.6361; Accuracy: 0.4690; Precision: 0.4696; Recall: 0.9851; ROC AUC: 0.4973
+[2024-05-21 16:42:14,898 INFO] Epoch:1, Snapshot:48; F1: 0.6356; Accuracy: 0.4680; Precision: 0.4696; Recall: 0.9831; ROC AUC: 0.4953
+[2024-05-21 16:42:15,758 INFO] Epoch:1, Snapshot:49; F1: 0.6742; Accuracy: 0.5110; Precision: 0.5106; Recall: 0.9922; ROC AUC: 0.5012
+[2024-05-21 16:42:16,617 INFO] Epoch:1, Snapshot:50; F1: 0.6369; Accuracy: 0.4710; Precision: 0.4682; Recall: 0.9957; ROC AUC: 0.5044
+[2024-05-21 16:42:17,462 INFO] Epoch:1, Snapshot:51; F1: 0.6564; Accuracy: 0.4890; Precision: 0.4890; Recall: 0.9980; ROC AUC: 0.5000
+[2024-05-21 16:42:18,306 INFO] Epoch:1, Snapshot:52; F1: 0.6777; Accuracy: 0.5150; Precision: 0.5157; Recall: 0.9884; ROC AUC: 0.4994
+[2024-05-21 16:42:19,196 INFO] Epoch:1, Snapshot:53; F1: 0.6781; Accuracy: 0.5140; Precision: 0.5156; Recall: 0.9903; ROC AUC: 0.4972
+[2024-05-21 16:42:20,040 INFO] Epoch:1, Snapshot:54; F1: 0.6407; Accuracy: 0.4740; Precision: 0.4728; Recall: 0.9936; ROC AUC: 0.5016
+[2024-05-21 16:42:20,884 INFO] Epoch:1, Snapshot:55; F1: 0.6916; Accuracy: 0.5300; Precision: 0.5318; Recall: 0.9887; ROC AUC: 0.4976
+[2024-05-21 16:42:21,712 INFO] Epoch:1, Snapshot:56; F1: 0.6746; Accuracy: 0.5100; Precision: 0.5121; Recall: 0.9883; ROC AUC: 0.4962
+[2024-05-21 16:42:22,478 INFO] Epoch:1, Snapshot:57; F1: 0.6747; Accuracy: 0.5120; Precision: 0.5121; Recall: 0.9883; ROC AUC: 0.5003
+[2024-05-21 16:42:23,291 INFO] Epoch:1, Snapshot:58; F1: 0.6626; Accuracy: 0.4980; Precision: 0.4975; Recall: 0.9920; ROC AUC: 0.5009
+[2024-05-21 16:42:24,244 INFO] Epoch:1, Snapshot:59; F1: 0.6950; Accuracy: 0.5340; Precision: 0.5353; Recall: 0.9907; ROC AUC: 0.4986
+[2024-05-21 16:42:25,150 INFO] Epoch:1, Snapshot:60; F1: 0.6711; Accuracy: 0.5070; Precision: 0.5076; Recall: 0.9902; ROC AUC: 0.4991
+[2024-05-21 16:42:26,135 INFO] Epoch:1, Snapshot:61; F1: 0.6486; Accuracy: 0.4820; Precision: 0.4819; Recall: 0.9917; ROC AUC: 0.4997
+[2024-05-21 16:42:27,135 INFO] Epoch:1, Snapshot:62; F1: 0.6467; Accuracy: 0.4800; Precision: 0.4803; Recall: 0.9896; ROC AUC: 0.4987
+[2024-05-21 16:42:28,151 INFO] Epoch:1, Snapshot:63; F1: 0.6702; Accuracy: 0.5070; Precision: 0.5055; Recall: 0.9940; ROC AUC: 0.5031
+[2024-05-21 16:42:29,089 INFO] Epoch:1, Snapshot:64; F1: 0.6319; Accuracy: 0.4640; Precision: 0.4665; Recall: 0.9787; ROC AUC: 0.4931
+[2024-05-21 16:42:30,011 INFO] Epoch:1, Snapshot:65; F1: 0.6347; Accuracy: 0.4660; Precision: 0.4673; Recall: 0.9893; ROC AUC: 0.4966
+[2024-05-21 16:42:30,996 INFO] Epoch:1, Snapshot:66; F1: 0.7161; Accuracy: 0.5600; Precision: 0.5606; Recall: 0.9911; ROC AUC: 0.5012
+[2024-05-21 16:42:31,824 INFO] Epoch:1, Snapshot:67; F1: 0.6676; Accuracy: 0.5040; Precision: 0.5020; Recall: 0.9960; ROC AUC: 0.5040
+[2024-05-21 16:42:32,590 INFO] Epoch:1, Snapshot:68; F1: 0.6463; Accuracy: 0.4790; Precision: 0.4803; Recall: 0.9876; ROC AUC: 0.4967
+[2024-05-21 16:42:33,418 INFO] Epoch:1, Snapshot:69; F1: 0.6545; Accuracy: 0.4880; Precision: 0.4889; Recall: 0.9898; ROC AUC: 0.4978
+[2024-05-21 16:42:34,325 INFO] Epoch:1, Snapshot:70; F1: 0.6870; Accuracy: 0.5270; Precision: 0.5264; Recall: 0.9886; ROC AUC: 0.5027
+[2024-05-21 16:42:35,169 INFO] Epoch:1, Snapshot:71; F1: 0.6545; Accuracy: 0.4880; Precision: 0.4899; Recall: 0.9858; ROC AUC: 0.4958
+[2024-05-21 16:42:36,029 INFO] Epoch:1, Snapshot:72; F1: 0.6342; Accuracy: 0.4660; Precision: 0.4677; Recall: 0.9851; ROC AUC: 0.4954
+[2024-05-21 16:42:36,732 INFO] Epoch:1, Snapshot:73; F1: 0.5975; Accuracy: 0.4300; Precision: 0.4286; Recall: 0.9860; ROC AUC: 0.4991
+[2024-05-21 16:42:37,513 INFO] Epoch:1, Snapshot:74; F1: 0.6152; Accuracy: 0.4470; Precision: 0.4451; Recall: 0.9955; ROC AUC: 0.5022
+[2024-05-21 16:42:38,341 INFO] Epoch:1, Snapshot:75; F1: 0.6299; Accuracy: 0.4630; Precision: 0.4616; Recall: 0.9913; ROC AUC: 0.5012
+[2024-05-21 16:42:39,170 INFO] Epoch:1, Snapshot:76; F1: 0.6536; Accuracy: 0.4880; Precision: 0.4859; Recall: 0.9979; ROC AUC: 0.5038
+[2024-05-21 16:42:40,123 INFO] Epoch:1, Snapshot:77; F1: 0.6671; Accuracy: 0.5040; Precision: 0.5041; Recall: 0.9861; ROC AUC: 0.5001
+[2024-05-21 16:42:41,061 INFO] Epoch:1, Snapshot:78; F1: 0.7005; Accuracy: 0.5400; Precision: 0.5423; Recall: 0.9890; ROC AUC: 0.4967
+[2024-05-21 16:42:41,921 INFO] Epoch:1, Snapshot:79; F1: 0.6865; Accuracy: 0.5250; Precision: 0.5247; Recall: 0.9924; ROC AUC: 0.5014
+[2024-05-21 16:42:42,719 INFO] Epoch:1, Snapshot:80; F1: 0.6676; Accuracy: 0.5050; Precision: 0.5025; Recall: 0.9940; ROC AUC: 0.5050
+[2024-05-21 16:42:43,672 INFO] Epoch:1, Snapshot:81; F1: 0.6786; Accuracy: 0.5150; Precision: 0.5166; Recall: 0.9884; ROC AUC: 0.4973
+[2024-05-21 16:42:44,485 INFO] Epoch:1, Snapshot:82; F1: 0.6357; Accuracy: 0.4670; Precision: 0.4669; Recall: 0.9957; ROC AUC: 0.4997
+[2024-05-21 16:42:45,501 INFO] Epoch:1, Snapshot:83; F1: 0.6865; Accuracy: 0.5250; Precision: 0.5253; Recall: 0.9905; ROC AUC: 0.5005
+[2024-05-21 16:42:46,329 INFO] Epoch:1, Snapshot:84; F1: 0.6803; Accuracy: 0.5170; Precision: 0.5176; Recall: 0.9923; ROC AUC: 0.4993
+[2024-05-21 16:42:47,157 INFO] Epoch:1, Snapshot:85; F1: 0.6860; Accuracy: 0.5230; Precision: 0.5247; Recall: 0.9905; ROC AUC: 0.4974
+[2024-05-21 16:42:48,048 INFO] Epoch:1, Snapshot:86; F1: 0.6747; Accuracy: 0.5130; Precision: 0.5101; Recall: 0.9961; ROC AUC: 0.5061
+[2024-05-21 16:42:48,924 INFO] Epoch:1, Snapshot:87; F1: 0.6481; Accuracy: 0.4810; Precision: 0.4823; Recall: 0.9876; ROC AUC: 0.4967
+[2024-05-21 16:42:49,830 INFO] Epoch:1, Snapshot:88; F1: 0.6595; Accuracy: 0.4940; Precision: 0.4930; Recall: 0.9959; ROC AUC: 0.5019
+[2024-05-21 16:42:50,908 INFO] Epoch:1, Snapshot:89; F1: 0.7001; Accuracy: 0.5400; Precision: 0.5419; Recall: 0.9890; ROC AUC: 0.4978
+[2024-05-21 16:42:51,705 INFO] Epoch:1, Snapshot:90; F1: 0.6421; Accuracy: 0.4750; Precision: 0.4767; Recall: 0.9833; ROC AUC: 0.4955
+[2024-05-21 16:42:52,612 INFO] Epoch:1, Snapshot:91; F1: 0.6997; Accuracy: 0.5390; Precision: 0.5402; Recall: 0.9926; ROC AUC: 0.4985
+[2024-05-21 16:42:53,503 INFO] Epoch:1, Snapshot:92; F1: 0.6472; Accuracy: 0.4810; Precision: 0.4813; Recall: 0.9876; ROC AUC: 0.4986
+[2024-05-21 16:42:54,316 INFO] Epoch:1, Snapshot:93; F1: 0.6658; Accuracy: 0.5010; Precision: 0.5015; Recall: 0.9900; ROC AUC: 0.4990
+[2024-05-21 16:42:55,066 INFO] Epoch:1, Snapshot:94; F1: 0.6508; Accuracy: 0.4860; Precision: 0.4863; Recall: 0.9836; ROC AUC: 0.4986
+[2024-05-21 16:42:55,926 INFO] Epoch:1, Snapshot:95; F1: 0.6861; Accuracy: 0.5250; Precision: 0.5253; Recall: 0.9886; ROC AUC: 0.5006
+[2024-05-21 16:42:56,832 INFO] Epoch:1, Snapshot:96; F1: 0.6586; Accuracy: 0.4930; Precision: 0.4954; Recall: 0.9819; ROC AUC: 0.4949
+[2024-05-21 16:42:57,770 INFO] Epoch:1, Snapshot:97; F1: 0.6930; Accuracy: 0.5340; Precision: 0.5324; Recall: 0.9925; ROC AUC: 0.5047
+[2024-05-21 16:42:58,551 INFO] Epoch:1, Snapshot:98; F1: 0.6795; Accuracy: 0.5190; Precision: 0.5162; Recall: 0.9942; ROC AUC: 0.5063
+[2024-05-21 16:42:59,442 INFO] Epoch:1, Snapshot:99; F1: 0.6527; Accuracy: 0.4860; Precision: 0.4874; Recall: 0.9877; ROC AUC: 0.4968
+[2024-05-21 16:43:00,536 INFO] Epoch:1, Snapshot:100; F1: 0.6782; Accuracy: 0.5150; Precision: 0.5146; Recall: 0.9942; ROC AUC: 0.5012
+[2024-05-21 16:43:01,380 INFO] Epoch:1, Snapshot:101; F1: 0.6412; Accuracy: 0.4740; Precision: 0.4733; Recall: 0.9937; ROC AUC: 0.5006
+[2024-05-21 16:43:02,271 INFO] Epoch:1, Snapshot:102; F1: 0.6563; Accuracy: 0.4900; Precision: 0.4914; Recall: 0.9878; ROC AUC: 0.4969
+[2024-05-21 16:43:03,162 INFO] Epoch:1, Snapshot:103; F1: 0.6527; Accuracy: 0.4870; Precision: 0.4879; Recall: 0.9857; ROC AUC: 0.4977
+[2024-05-21 16:43:03,961 INFO] Epoch:1, Snapshot:104; F1: 0.6463; Accuracy: 0.4790; Precision: 0.4803; Recall: 0.9876; ROC AUC: 0.4967
+[2024-05-21 16:43:04,850 INFO] Epoch:1, Snapshot:105; F1: 0.6120; Accuracy: 0.4420; Precision: 0.4422; Recall: 0.9932; ROC AUC: 0.4984
+[2024-05-21 16:43:05,804 INFO] Epoch:1, Snapshot:106; F1: 0.6011; Accuracy: 0.4320; Precision: 0.4302; Recall: 0.9977; ROC AUC: 0.5023
+[2024-05-21 16:43:06,663 INFO] Epoch:1, Snapshot:107; F1: 0.6499; Accuracy: 0.4840; Precision: 0.4824; Recall: 0.9958; ROC AUC: 0.5027
+[2024-05-21 16:43:07,663 INFO] Epoch:1, Snapshot:108; F1: 0.6716; Accuracy: 0.5080; Precision: 0.5096; Recall: 0.9843; ROC AUC: 0.4973
+[2024-05-21 16:43:08,585 INFO] Epoch:1, Snapshot:109; F1: 0.6604; Accuracy: 0.4950; Precision: 0.4945; Recall: 0.9939; ROC AUC: 0.5009
+[2024-05-21 16:43:09,398 INFO] Epoch:1, Snapshot:110; F1: 0.6640; Accuracy: 0.4990; Precision: 0.4995; Recall: 0.9900; ROC AUC: 0.4990
+[2024-05-21 16:43:10,211 INFO] Epoch:1, Snapshot:111; F1: 0.6384; Accuracy: 0.4710; Precision: 0.4712; Recall: 0.9894; ROC AUC: 0.4985
+[2024-05-21 16:43:11,305 INFO] Epoch:1, Snapshot:112; F1: 0.6698; Accuracy: 0.5060; Precision: 0.5050; Recall: 0.9940; ROC AUC: 0.5021
+[2024-05-21 16:43:12,180 INFO] Epoch:1, Snapshot:113; F1: 0.6531; Accuracy: 0.4870; Precision: 0.4874; Recall: 0.9898; ROC AUC: 0.4988
+[2024-05-21 16:43:13,290 INFO] Epoch:1, Snapshot:114; F1: 0.6908; Accuracy: 0.5300; Precision: 0.5287; Recall: 0.9962; ROC AUC: 0.5034
+[2024-05-21 16:43:14,368 INFO] Epoch:1, Snapshot:115; F1: 0.6398; Accuracy: 0.4720; Precision: 0.4733; Recall: 0.9874; ROC AUC: 0.4965
+[2024-05-21 16:43:15,353 INFO] Epoch:1, Snapshot:116; F1: 0.6559; Accuracy: 0.4900; Precision: 0.4914; Recall: 0.9858; ROC AUC: 0.4968
+[2024-05-21 16:43:16,400 INFO] Epoch:1, Snapshot:117; F1: 0.6453; Accuracy: 0.4800; Precision: 0.4778; Recall: 0.9937; ROC AUC: 0.5035
+[2024-05-21 16:43:17,354 INFO] Epoch:1, Snapshot:118; F1: 0.6869; Accuracy: 0.5250; Precision: 0.5236; Recall: 0.9981; ROC AUC: 0.5032
+[2024-05-21 16:43:18,323 INFO] Epoch:1, Snapshot:119; F1: 0.6541; Accuracy: 0.4870; Precision: 0.4884; Recall: 0.9898; ROC AUC: 0.4969
+[2024-05-21 16:43:19,323 INFO] Epoch:1, Snapshot:120; F1: 0.6504; Accuracy: 0.4850; Precision: 0.4843; Recall: 0.9897; ROC AUC: 0.5006
+[2024-05-21 16:43:20,246 INFO] Epoch:1, Snapshot:121; F1: 0.6635; Accuracy: 0.4980; Precision: 0.4975; Recall: 0.9960; ROC AUC: 0.5010
+[2024-05-21 16:43:21,152 INFO] Epoch:1, Snapshot:122; F1: 0.6951; Accuracy: 0.5360; Precision: 0.5376; Recall: 0.9833; ROC AUC: 0.4992
+[2024-05-21 16:43:22,215 INFO] Epoch:1, Snapshot:123; F1: 0.6563; Accuracy: 0.4920; Precision: 0.4894; Recall: 0.9959; ROC AUC: 0.5048
+[2024-05-21 16:43:22,215 INFO] Epoch:1, Snapshot: 27; Loss: 0.7623
+[2024-05-21 16:43:29,075 INFO] Epoch:1, Snapshot:37; F1: 0.7021; Accuracy: 0.5520; Precision: 0.5653; Recall: 0.9263; ROC AUC: 0.4911
+[2024-05-21 16:43:29,903 INFO] Epoch:1, Snapshot:38; F1: 0.6900; Accuracy: 0.5390; Precision: 0.5423; Recall: 0.9482; ROC AUC: 0.5024
+[2024-05-21 16:43:30,638 INFO] Epoch:1, Snapshot:39; F1: 0.6270; Accuracy: 0.4730; Precision: 0.4708; Recall: 0.9386; ROC AUC: 0.4977
+[2024-05-21 16:43:31,451 INFO] Epoch:1, Snapshot:40; F1: 0.6739; Accuracy: 0.5210; Precision: 0.5222; Recall: 0.9501; ROC AUC: 0.5022
+[2024-05-21 16:43:32,201 INFO] Epoch:1, Snapshot:41; F1: 0.6241; Accuracy: 0.4700; Precision: 0.4701; Recall: 0.9283; ROC AUC: 0.4927
+[2024-05-21 16:43:33,076 INFO] Epoch:1, Snapshot:42; F1: 0.6474; Accuracy: 0.5000; Precision: 0.4909; Recall: 0.9503; ROC AUC: 0.5148
+[2024-05-21 16:43:33,858 INFO] Epoch:1, Snapshot:43; F1: 0.6166; Accuracy: 0.4640; Precision: 0.4595; Recall: 0.9370; ROC AUC: 0.4990
+[2024-05-21 16:43:34,702 INFO] Epoch:1, Snapshot:44; F1: 0.6883; Accuracy: 0.5390; Precision: 0.5426; Recall: 0.9409; ROC AUC: 0.5031
+[2024-05-21 16:43:35,608 INFO] Epoch:1, Snapshot:45; F1: 0.6912; Accuracy: 0.5390; Precision: 0.5403; Recall: 0.9591; ROC AUC: 0.5044
+[2024-05-21 16:43:36,530 INFO] Epoch:1, Snapshot:46; F1: 0.6519; Accuracy: 0.4970; Precision: 0.5000; Recall: 0.9364; ROC AUC: 0.4943
+[2024-05-21 16:43:37,280 INFO] Epoch:1, Snapshot:47; F1: 0.6411; Accuracy: 0.4940; Precision: 0.4814; Recall: 0.9597; ROC AUC: 0.5195
+[2024-05-21 16:43:38,202 INFO] Epoch:1, Snapshot:48; F1: 0.6350; Accuracy: 0.4770; Precision: 0.4735; Recall: 0.9640; ROC AUC: 0.5028
+[2024-05-21 16:43:39,093 INFO] Epoch:1, Snapshot:49; F1: 0.6593; Accuracy: 0.5090; Precision: 0.5102; Recall: 0.9314; ROC AUC: 0.5004
+[2024-05-21 16:43:39,906 INFO] Epoch:1, Snapshot:50; F1: 0.6218; Accuracy: 0.4660; Precision: 0.4641; Recall: 0.9421; ROC AUC: 0.4963
+[2024-05-21 16:43:40,750 INFO] Epoch:1, Snapshot:51; F1: 0.6541; Accuracy: 0.5060; Precision: 0.4973; Recall: 0.9550; ROC AUC: 0.5157
+[2024-05-21 16:43:41,594 INFO] Epoch:1, Snapshot:52; F1: 0.6740; Accuracy: 0.5290; Precision: 0.5242; Recall: 0.9438; ROC AUC: 0.5153
+[2024-05-21 16:43:42,521 INFO] Epoch:1, Snapshot:53; F1: 0.6662; Accuracy: 0.5120; Precision: 0.5153; Recall: 0.9420; ROC AUC: 0.4969
+[2024-05-21 16:43:43,313 INFO] Epoch:1, Snapshot:54; F1: 0.6330; Accuracy: 0.4770; Precision: 0.4732; Recall: 0.9555; ROC AUC: 0.5024
+[2024-05-21 16:43:44,189 INFO] Epoch:1, Snapshot:55; F1: 0.6856; Accuracy: 0.5360; Precision: 0.5366; Recall: 0.9493; ROC AUC: 0.5068
+[2024-05-21 16:43:45,017 INFO] Epoch:1, Snapshot:56; F1: 0.6630; Accuracy: 0.5080; Precision: 0.5116; Recall: 0.9416; ROC AUC: 0.4955
+[2024-05-21 16:43:45,799 INFO] Epoch:1, Snapshot:57; F1: 0.6699; Accuracy: 0.5200; Precision: 0.5170; Recall: 0.9512; ROC AUC: 0.5094
+[2024-05-21 16:43:46,613 INFO] Epoch:1, Snapshot:58; F1: 0.6444; Accuracy: 0.4890; Precision: 0.4926; Recall: 0.9316; ROC AUC: 0.4916
+[2024-05-21 16:43:47,580 INFO] Epoch:1, Snapshot:59; F1: 0.6815; Accuracy: 0.5280; Precision: 0.5338; Recall: 0.9422; ROC AUC: 0.4959
+[2024-05-21 16:43:48,455 INFO] Epoch:1, Snapshot:60; F1: 0.6621; Accuracy: 0.5080; Precision: 0.5084; Recall: 0.9488; ROC AUC: 0.5008
+[2024-05-21 16:43:49,456 INFO] Epoch:1, Snapshot:61; F1: 0.6406; Accuracy: 0.4860; Precision: 0.4831; Recall: 0.9502; ROC AUC: 0.5021
+[2024-05-21 16:43:50,425 INFO] Epoch:1, Snapshot:62; F1: 0.6348; Accuracy: 0.4800; Precision: 0.4793; Recall: 0.9397; ROC AUC: 0.4968
+[2024-05-21 16:43:51,503 INFO] Epoch:1, Snapshot:63; F1: 0.6543; Accuracy: 0.4970; Precision: 0.5005; Recall: 0.9444; ROC AUC: 0.4934
+[2024-05-21 16:43:52,457 INFO] Epoch:1, Snapshot:64; F1: 0.6137; Accuracy: 0.4550; Precision: 0.4601; Recall: 0.9213; ROC AUC: 0.4814
+[2024-05-21 16:43:53,332 INFO] Epoch:1, Snapshot:65; F1: 0.6203; Accuracy: 0.4650; Precision: 0.4649; Recall: 0.9318; ROC AUC: 0.4923
+[2024-05-21 16:43:54,301 INFO] Epoch:1, Snapshot:66; F1: 0.6931; Accuracy: 0.5350; Precision: 0.5497; Recall: 0.9375; ROC AUC: 0.4801
+[2024-05-21 16:43:55,176 INFO] Epoch:1, Snapshot:67; F1: 0.6464; Accuracy: 0.4880; Precision: 0.4937; Recall: 0.9360; ROC AUC: 0.4880
+[2024-05-21 16:43:55,958 INFO] Epoch:1, Snapshot:68; F1: 0.6366; Accuracy: 0.4840; Precision: 0.4819; Recall: 0.9378; ROC AUC: 0.4998
+[2024-05-21 16:43:56,786 INFO] Epoch:1, Snapshot:69; F1: 0.6380; Accuracy: 0.4870; Precision: 0.4876; Recall: 0.9224; ROC AUC: 0.4955
+[2024-05-21 16:43:57,693 INFO] Epoch:1, Snapshot:70; F1: 0.6771; Accuracy: 0.5250; Precision: 0.5264; Recall: 0.9486; ROC AUC: 0.5027
+[2024-05-21 16:43:58,537 INFO] Epoch:1, Snapshot:71; F1: 0.6480; Accuracy: 0.4960; Precision: 0.4936; Recall: 0.9431; ROC AUC: 0.5030
+[2024-05-21 16:43:59,397 INFO] Epoch:1, Snapshot:72; F1: 0.6234; Accuracy: 0.4660; Precision: 0.4662; Recall: 0.9404; ROC AUC: 0.4929
+[2024-05-21 16:44:00,132 INFO] Epoch:1, Snapshot:73; F1: 0.5754; Accuracy: 0.4200; Precision: 0.4194; Recall: 0.9161; ROC AUC: 0.4817
+[2024-05-21 16:44:00,929 INFO] Epoch:1, Snapshot:74; F1: 0.6016; Accuracy: 0.4410; Precision: 0.4400; Recall: 0.9505; ROC AUC: 0.4923
+[2024-05-21 16:44:01,742 INFO] Epoch:1, Snapshot:75; F1: 0.6180; Accuracy: 0.4610; Precision: 0.4589; Recall: 0.9458; ROC AUC: 0.4961
+[2024-05-21 16:44:02,523 INFO] Epoch:1, Snapshot:76; F1: 0.6352; Accuracy: 0.4820; Precision: 0.4818; Recall: 0.9318; ROC AUC: 0.4959
+[2024-05-21 16:44:03,476 INFO] Epoch:1, Snapshot:77; F1: 0.6607; Accuracy: 0.5090; Precision: 0.5069; Recall: 0.9484; ROC AUC: 0.5055
+[2024-05-21 16:44:04,367 INFO] Epoch:1, Snapshot:78; F1: 0.6922; Accuracy: 0.5420; Precision: 0.5456; Recall: 0.9467; ROC AUC: 0.5030
+[2024-05-21 16:44:05,289 INFO] Epoch:1, Snapshot:79; F1: 0.6767; Accuracy: 0.5270; Precision: 0.5272; Recall: 0.9447; ROC AUC: 0.5059
+[2024-05-21 16:44:06,117 INFO] Epoch:1, Snapshot:80; F1: 0.6528; Accuracy: 0.5000; Precision: 0.5000; Recall: 0.9400; ROC AUC: 0.5000
+[2024-05-21 16:44:07,071 INFO] Epoch:1, Snapshot:81; F1: 0.6712; Accuracy: 0.5190; Precision: 0.5196; Recall: 0.9479; ROC AUC: 0.5030
+[2024-05-21 16:44:07,883 INFO] Epoch:1, Snapshot:82; F1: 0.6355; Accuracy: 0.4860; Precision: 0.4751; Recall: 0.9593; ROC AUC: 0.5153
+[2024-05-21 16:44:08,884 INFO] Epoch:1, Snapshot:83; F1: 0.6644; Accuracy: 0.5080; Precision: 0.5175; Recall: 0.9276; ROC AUC: 0.4859
+[2024-05-21 16:44:09,760 INFO] Epoch:1, Snapshot:84; F1: 0.6749; Accuracy: 0.5290; Precision: 0.5252; Recall: 0.9440; ROC AUC: 0.5135
+[2024-05-21 16:44:10,604 INFO] Epoch:1, Snapshot:85; F1: 0.6708; Accuracy: 0.5170; Precision: 0.5228; Recall: 0.9354; ROC AUC: 0.4941
+[2024-05-21 16:44:11,495 INFO] Epoch:1, Snapshot:86; F1: 0.6689; Accuracy: 0.5160; Precision: 0.5120; Recall: 0.9645; ROC AUC: 0.5096
+[2024-05-21 16:44:12,402 INFO] Epoch:1, Snapshot:87; F1: 0.6413; Accuracy: 0.4910; Precision: 0.4866; Recall: 0.9401; ROC AUC: 0.5049
+[2024-05-21 16:44:13,277 INFO] Epoch:1, Snapshot:88; F1: 0.6486; Accuracy: 0.4930; Precision: 0.4921; Recall: 0.9512; ROC AUC: 0.5002
+[2024-05-21 16:44:14,355 INFO] Epoch:1, Snapshot:89; F1: 0.6775; Accuracy: 0.5220; Precision: 0.5346; Recall: 0.9245; ROC AUC: 0.4841
+[2024-05-21 16:44:15,136 INFO] Epoch:1, Snapshot:90; F1: 0.6383; Accuracy: 0.4810; Precision: 0.4791; Recall: 0.9562; ROC AUC: 0.5002
+[2024-05-21 16:44:16,058 INFO] Epoch:1, Snapshot:91; F1: 0.6894; Accuracy: 0.5350; Precision: 0.5397; Recall: 0.9538; ROC AUC: 0.4976
+[2024-05-21 16:44:16,903 INFO] Epoch:1, Snapshot:92; F1: 0.6429; Accuracy: 0.4890; Precision: 0.4847; Recall: 0.9544; ROC AUC: 0.5052
+[2024-05-21 16:44:17,765 INFO] Epoch:1, Snapshot:93; F1: 0.6561; Accuracy: 0.5000; Precision: 0.5011; Recall: 0.9502; ROC AUC: 0.4982
+[2024-05-21 16:44:18,560 INFO] Epoch:1, Snapshot:94; F1: 0.6435; Accuracy: 0.4870; Precision: 0.4863; Recall: 0.9507; ROC AUC: 0.4988
+[2024-05-21 16:44:19,435 INFO] Epoch:1, Snapshot:95; F1: 0.6740; Accuracy: 0.5230; Precision: 0.5256; Recall: 0.9390; ROC AUC: 0.5011
+[2024-05-21 16:44:20,341 INFO] Epoch:1, Snapshot:96; F1: 0.6434; Accuracy: 0.4890; Precision: 0.4930; Recall: 0.9257; ROC AUC: 0.4907
+[2024-05-21 16:44:21,264 INFO] Epoch:1, Snapshot:97; F1: 0.6789; Accuracy: 0.5280; Precision: 0.5309; Recall: 0.9415; ROC AUC: 0.5016
+[2024-05-21 16:44:22,030 INFO] Epoch:1, Snapshot:98; F1: 0.6557; Accuracy: 0.4960; Precision: 0.5047; Recall: 0.9357; ROC AUC: 0.4843
+[2024-05-21 16:44:22,873 INFO] Epoch:1, Snapshot:99; F1: 0.6428; Accuracy: 0.4920; Precision: 0.4898; Recall: 0.9346; ROC AUC: 0.5015
+[2024-05-21 16:44:23,999 INFO] Epoch:1, Snapshot:100; F1: 0.6598; Accuracy: 0.5080; Precision: 0.5118; Recall: 0.9280; ROC AUC: 0.4959
+[2024-05-21 16:44:24,843 INFO] Epoch:1, Snapshot:101; F1: 0.6299; Accuracy: 0.4770; Precision: 0.4734; Recall: 0.9408; ROC AUC: 0.5008
+[2024-05-21 16:44:25,687 INFO] Epoch:1, Snapshot:102; F1: 0.6310; Accuracy: 0.4760; Precision: 0.4833; Recall: 0.9087; ROC AUC: 0.4820
+[2024-05-21 16:44:26,579 INFO] Epoch:1, Snapshot:103; F1: 0.6381; Accuracy: 0.4850; Precision: 0.4861; Recall: 0.9284; ROC AUC: 0.4945
+[2024-05-21 16:44:27,391 INFO] Epoch:1, Snapshot:104; F1: 0.6366; Accuracy: 0.4850; Precision: 0.4824; Recall: 0.9357; ROC AUC: 0.5007
+[2024-05-21 16:44:28,345 INFO] Epoch:1, Snapshot:105; F1: 0.5951; Accuracy: 0.4380; Precision: 0.4370; Recall: 0.9323; ROC AUC: 0.4886
+[2024-05-21 16:44:29,267 INFO] Epoch:1, Snapshot:106; F1: 0.5905; Accuracy: 0.4410; Precision: 0.4306; Recall: 0.9394; ROC AUC: 0.5030
+[2024-05-21 16:44:30,174 INFO] Epoch:1, Snapshot:107; F1: 0.6362; Accuracy: 0.4820; Precision: 0.4804; Recall: 0.9418; ROC AUC: 0.4988
+[2024-05-21 16:44:31,174 INFO] Epoch:1, Snapshot:108; F1: 0.6589; Accuracy: 0.5000; Precision: 0.5058; Recall: 0.9452; ROC AUC: 0.4900
+[2024-05-21 16:44:32,097 INFO] Epoch:1, Snapshot:109; F1: 0.6395; Accuracy: 0.4870; Precision: 0.4898; Recall: 0.9211; ROC AUC: 0.4921
+[2024-05-21 16:44:32,960 INFO] Epoch:1, Snapshot:110; F1: 0.6506; Accuracy: 0.4930; Precision: 0.4963; Recall: 0.9440; ROC AUC: 0.4930
+[2024-05-21 16:44:33,816 INFO] Epoch:1, Snapshot:111; F1: 0.6364; Accuracy: 0.4870; Precision: 0.4782; Recall: 0.9513; ROC AUC: 0.5116
+[2024-05-21 16:44:34,863 INFO] Epoch:1, Snapshot:112; F1: 0.6555; Accuracy: 0.5060; Precision: 0.5054; Recall: 0.9325; ROC AUC: 0.5026
+[2024-05-21 16:44:35,738 INFO] Epoch:1, Snapshot:113; F1: 0.6433; Accuracy: 0.4910; Precision: 0.4888; Recall: 0.9406; ROC AUC: 0.5015
+[2024-05-21 16:44:36,832 INFO] Epoch:1, Snapshot:114; F1: 0.6762; Accuracy: 0.5240; Precision: 0.5270; Recall: 0.9431; ROC AUC: 0.5001
+[2024-05-21 16:44:37,863 INFO] Epoch:1, Snapshot:115; F1: 0.6324; Accuracy: 0.4780; Precision: 0.4751; Recall: 0.9453; ROC AUC: 0.5003
+[2024-05-21 16:44:38,832 INFO] Epoch:1, Snapshot:116; F1: 0.6514; Accuracy: 0.4990; Precision: 0.4958; Recall: 0.9493; ROC AUC: 0.5052
+[2024-05-21 16:44:39,895 INFO] Epoch:1, Snapshot:117; F1: 0.6305; Accuracy: 0.4760; Precision: 0.4745; Recall: 0.9391; ROC AUC: 0.4972
+[2024-05-21 16:44:40,880 INFO] Epoch:1, Snapshot:118; F1: 0.6806; Accuracy: 0.5270; Precision: 0.5255; Recall: 0.9655; ROC AUC: 0.5068
+[2024-05-21 16:44:41,849 INFO] Epoch:1, Snapshot:119; F1: 0.6648; Accuracy: 0.5200; Precision: 0.5053; Recall: 0.9714; ROC AUC: 0.5289
+[2024-05-21 16:44:42,834 INFO] Epoch:1, Snapshot:120; F1: 0.6353; Accuracy: 0.4810; Precision: 0.4814; Recall: 0.9339; ROC AUC: 0.4950
+[2024-05-21 16:44:43,756 INFO] Epoch:1, Snapshot:121; F1: 0.6551; Accuracy: 0.5030; Precision: 0.5000; Recall: 0.9497; ROC AUC: 0.5057
+[2024-05-21 16:44:44,631 INFO] Epoch:1, Snapshot:122; F1: 0.6815; Accuracy: 0.5280; Precision: 0.5350; Recall: 0.9387; ROC AUC: 0.4942
+[2024-05-21 16:44:45,631 INFO] Epoch:1, Snapshot:123; F1: 0.6438; Accuracy: 0.4910; Precision: 0.4883; Recall: 0.9446; ROC AUC: 0.5025
+[2024-05-21 16:44:45,647 INFO] Epoch:1, Snapshot: 28; Loss: 0.8911
+[2024-05-21 16:44:52,368 INFO] Epoch:1, Snapshot:37; F1: 0.7138; Accuracy: 0.5710; Precision: 0.5759; Recall: 0.9386; ROC AUC: 0.5112
+[2024-05-21 16:44:53,243 INFO] Epoch:1, Snapshot:38; F1: 0.6847; Accuracy: 0.5330; Precision: 0.5394; Recall: 0.9372; ROC AUC: 0.4969
+[2024-05-21 16:44:53,947 INFO] Epoch:1, Snapshot:39; F1: 0.6214; Accuracy: 0.4650; Precision: 0.4665; Recall: 0.9301; ROC AUC: 0.4897
+[2024-05-21 16:44:54,765 INFO] Epoch:1, Snapshot:40; F1: 0.6562; Accuracy: 0.4980; Precision: 0.5101; Recall: 0.9194; ROC AUC: 0.4795
+[2024-05-21 16:44:55,541 INFO] Epoch:1, Snapshot:41; F1: 0.6207; Accuracy: 0.4660; Precision: 0.4679; Recall: 0.9219; ROC AUC: 0.4885
+[2024-05-21 16:44:56,400 INFO] Epoch:1, Snapshot:42; F1: 0.6283; Accuracy: 0.4710; Precision: 0.4755; Recall: 0.9255; ROC AUC: 0.4859
+[2024-05-21 16:44:57,167 INFO] Epoch:1, Snapshot:43; F1: 0.6225; Accuracy: 0.4760; Precision: 0.4655; Recall: 0.9391; ROC AUC: 0.5103
+[2024-05-21 16:44:58,026 INFO] Epoch:1, Snapshot:44; F1: 0.6820; Accuracy: 0.5300; Precision: 0.5379; Recall: 0.9316; ROC AUC: 0.4941
+[2024-05-21 16:44:58,902 INFO] Epoch:1, Snapshot:45; F1: 0.6888; Accuracy: 0.5400; Precision: 0.5415; Recall: 0.9461; ROC AUC: 0.5066
+[2024-05-21 16:44:59,839 INFO] Epoch:1, Snapshot:46; F1: 0.6579; Accuracy: 0.5080; Precision: 0.5059; Recall: 0.9404; ROC AUC: 0.5054
+[2024-05-21 16:45:00,558 INFO] Epoch:1, Snapshot:47; F1: 0.6233; Accuracy: 0.4730; Precision: 0.4698; Recall: 0.9257; ROC AUC: 0.4978
+[2024-05-21 16:45:01,480 INFO] Epoch:1, Snapshot:48; F1: 0.6267; Accuracy: 0.4710; Precision: 0.4698; Recall: 0.9407; ROC AUC: 0.4959
+[2024-05-21 16:45:02,387 INFO] Epoch:1, Snapshot:49; F1: 0.6579; Accuracy: 0.5070; Precision: 0.5091; Recall: 0.9294; ROC AUC: 0.4984
+[2024-05-21 16:45:03,231 INFO] Epoch:1, Snapshot:50; F1: 0.6243; Accuracy: 0.4740; Precision: 0.4679; Recall: 0.9378; ROC AUC: 0.5035
+[2024-05-21 16:45:04,075 INFO] Epoch:1, Snapshot:51; F1: 0.6505; Accuracy: 0.4970; Precision: 0.4926; Recall: 0.9571; ROC AUC: 0.5069
+[2024-05-21 16:45:04,903 INFO] Epoch:1, Snapshot:52; F1: 0.6685; Accuracy: 0.5200; Precision: 0.5193; Recall: 0.9380; ROC AUC: 0.5062
+[2024-05-21 16:45:05,825 INFO] Epoch:1, Snapshot:53; F1: 0.6579; Accuracy: 0.5050; Precision: 0.5118; Recall: 0.9207; ROC AUC: 0.4904
+[2024-05-21 16:45:06,622 INFO] Epoch:1, Snapshot:54; F1: 0.6250; Accuracy: 0.4780; Precision: 0.4728; Recall: 0.9216; ROC AUC: 0.5015
+[2024-05-21 16:45:07,482 INFO] Epoch:1, Snapshot:55; F1: 0.6834; Accuracy: 0.5340; Precision: 0.5357; Recall: 0.9437; ROC AUC: 0.5050
+[2024-05-21 16:45:08,357 INFO] Epoch:1, Snapshot:56; F1: 0.6592; Accuracy: 0.5120; Precision: 0.5142; Recall: 0.9183; ROC AUC: 0.5003
+[2024-05-21 16:45:09,154 INFO] Epoch:1, Snapshot:57; F1: 0.6685; Accuracy: 0.5160; Precision: 0.5148; Recall: 0.9531; ROC AUC: 0.5053
+[2024-05-21 16:45:09,967 INFO] Epoch:1, Snapshot:58; F1: 0.6444; Accuracy: 0.4990; Precision: 0.4978; Recall: 0.9135; ROC AUC: 0.5015
+[2024-05-21 16:45:10,936 INFO] Epoch:1, Snapshot:59; F1: 0.6731; Accuracy: 0.5260; Precision: 0.5339; Recall: 0.9104; ROC AUC: 0.4962
+[2024-05-21 16:45:11,796 INFO] Epoch:1, Snapshot:60; F1: 0.6529; Accuracy: 0.4970; Precision: 0.5027; Recall: 0.9311; ROC AUC: 0.4899
+[2024-05-21 16:45:12,780 INFO] Epoch:1, Snapshot:61; F1: 0.6298; Accuracy: 0.4780; Precision: 0.4784; Recall: 0.9212; ROC AUC: 0.4934
+[2024-05-21 16:45:13,749 INFO] Epoch:1, Snapshot:62; F1: 0.6343; Accuracy: 0.4800; Precision: 0.4793; Recall: 0.9376; ROC AUC: 0.4968
+[2024-05-21 16:45:14,780 INFO] Epoch:1, Snapshot:63; F1: 0.6616; Accuracy: 0.5120; Precision: 0.5085; Recall: 0.9464; ROC AUC: 0.5085
+[2024-05-21 16:45:15,749 INFO] Epoch:1, Snapshot:64; F1: 0.6325; Accuracy: 0.4840; Precision: 0.4754; Recall: 0.9447; ROC AUC: 0.5101
+[2024-05-21 16:45:16,656 INFO] Epoch:1, Snapshot:65; F1: 0.6314; Accuracy: 0.4850; Precision: 0.4752; Recall: 0.9403; ROC AUC: 0.5116
+[2024-05-21 16:45:17,625 INFO] Epoch:1, Snapshot:66; F1: 0.7063; Accuracy: 0.5600; Precision: 0.5640; Recall: 0.9446; ROC AUC: 0.5075
+[2024-05-21 16:45:18,469 INFO] Epoch:1, Snapshot:67; F1: 0.6486; Accuracy: 0.4940; Precision: 0.4968; Recall: 0.9340; ROC AUC: 0.4940
+[2024-05-21 16:45:19,220 INFO] Epoch:1, Snapshot:68; F1: 0.6362; Accuracy: 0.4830; Precision: 0.4814; Recall: 0.9378; ROC AUC: 0.4988
+[2024-05-21 16:45:20,063 INFO] Epoch:1, Snapshot:69; F1: 0.6442; Accuracy: 0.4930; Precision: 0.4909; Recall: 0.9367; ROC AUC: 0.5017
+[2024-05-21 16:45:21,017 INFO] Epoch:1, Snapshot:70; F1: 0.6740; Accuracy: 0.5270; Precision: 0.5281; Recall: 0.9314; ROC AUC: 0.5057
+[2024-05-21 16:45:21,892 INFO] Epoch:1, Snapshot:71; F1: 0.6340; Accuracy: 0.4770; Precision: 0.4835; Recall: 0.9207; ROC AUC: 0.4840
+[2024-05-21 16:45:22,736 INFO] Epoch:1, Snapshot:72; F1: 0.6233; Accuracy: 0.4670; Precision: 0.4667; Recall: 0.9383; ROC AUC: 0.4937
+[2024-05-21 16:45:23,423 INFO] Epoch:1, Snapshot:73; F1: 0.5793; Accuracy: 0.4320; Precision: 0.4245; Recall: 0.9114; ROC AUC: 0.4916
+[2024-05-21 16:45:24,252 INFO] Epoch:1, Snapshot:74; F1: 0.5945; Accuracy: 0.4420; Precision: 0.4388; Recall: 0.9212; ROC AUC: 0.4903
+[2024-05-21 16:45:25,049 INFO] Epoch:1, Snapshot:75; F1: 0.6224; Accuracy: 0.4710; Precision: 0.4638; Recall: 0.9458; ROC AUC: 0.5054
+[2024-05-21 16:45:25,814 INFO] Epoch:1, Snapshot:76; F1: 0.6321; Accuracy: 0.4750; Precision: 0.4783; Recall: 0.9318; ROC AUC: 0.4892
+[2024-05-21 16:45:26,736 INFO] Epoch:1, Snapshot:77; F1: 0.6460; Accuracy: 0.4870; Precision: 0.4952; Recall: 0.9286; ROC AUC: 0.4834
+[2024-05-21 16:45:27,643 INFO] Epoch:1, Snapshot:78; F1: 0.6935; Accuracy: 0.5430; Precision: 0.5459; Recall: 0.9504; ROC AUC: 0.5037
+[2024-05-21 16:45:28,535 INFO] Epoch:1, Snapshot:79; F1: 0.6658; Accuracy: 0.5120; Precision: 0.5192; Recall: 0.9275; ROC AUC: 0.4911
+[2024-05-21 16:45:29,410 INFO] Epoch:1, Snapshot:80; F1: 0.6592; Accuracy: 0.5120; Precision: 0.5064; Recall: 0.9440; ROC AUC: 0.5120
+[2024-05-21 16:45:30,363 INFO] Epoch:1, Snapshot:81; F1: 0.6561; Accuracy: 0.4990; Precision: 0.5091; Recall: 0.9228; ROC AUC: 0.4832
+[2024-05-21 16:45:31,160 INFO] Epoch:1, Snapshot:82; F1: 0.6123; Accuracy: 0.4630; Precision: 0.4619; Recall: 0.9079; ROC AUC: 0.4905
+[2024-05-21 16:45:32,161 INFO] Epoch:1, Snapshot:83; F1: 0.6635; Accuracy: 0.5070; Precision: 0.5170; Recall: 0.9257; ROC AUC: 0.4850
+[2024-05-21 16:45:32,989 INFO] Epoch:1, Snapshot:84; F1: 0.6772; Accuracy: 0.5280; Precision: 0.5244; Recall: 0.9556; ROC AUC: 0.5120
+[2024-05-21 16:45:33,817 INFO] Epoch:1, Snapshot:85; F1: 0.6782; Accuracy: 0.5340; Precision: 0.5325; Recall: 0.9335; ROC AUC: 0.5121
+[2024-05-21 16:45:34,677 INFO] Epoch:1, Snapshot:86; F1: 0.6561; Accuracy: 0.5030; Precision: 0.5053; Recall: 0.9349; ROC AUC: 0.4969
+[2024-05-21 16:45:35,599 INFO] Epoch:1, Snapshot:87; F1: 0.6358; Accuracy: 0.4890; Precision: 0.4853; Recall: 0.9215; ROC AUC: 0.5024
+[2024-05-21 16:45:36,459 INFO] Epoch:1, Snapshot:88; F1: 0.6399; Accuracy: 0.4800; Precision: 0.4853; Recall: 0.9390; ROC AUC: 0.4872
+[2024-05-21 16:45:37,507 INFO] Epoch:1, Snapshot:89; F1: 0.6852; Accuracy: 0.5350; Precision: 0.5418; Recall: 0.9319; ROC AUC: 0.4977
+[2024-05-21 16:45:38,320 INFO] Epoch:1, Snapshot:90; F1: 0.6384; Accuracy: 0.4890; Precision: 0.4829; Recall: 0.9415; ROC AUC: 0.5072
+[2024-05-21 16:45:39,195 INFO] Epoch:1, Snapshot:91; F1: 0.6717; Accuracy: 0.5170; Precision: 0.5312; Recall: 0.9131; ROC AUC: 0.4816
+[2024-05-21 16:45:40,070 INFO] Epoch:1, Snapshot:92; F1: 0.6417; Accuracy: 0.4920; Precision: 0.4861; Recall: 0.9440; ROC AUC: 0.5077
+[2024-05-21 16:45:40,930 INFO] Epoch:1, Snapshot:93; F1: 0.6467; Accuracy: 0.4930; Precision: 0.4973; Recall: 0.9243; ROC AUC: 0.4913
+[2024-05-21 16:45:41,680 INFO] Epoch:1, Snapshot:94; F1: 0.6452; Accuracy: 0.4930; Precision: 0.4894; Recall: 0.9466; ROC AUC: 0.5045
+[2024-05-21 16:45:42,555 INFO] Epoch:1, Snapshot:95; F1: 0.6735; Accuracy: 0.5250; Precision: 0.5269; Recall: 0.9333; ROC AUC: 0.5035
+[2024-05-21 16:45:43,461 INFO] Epoch:1, Snapshot:96; F1: 0.6491; Accuracy: 0.4930; Precision: 0.4952; Recall: 0.9418; ROC AUC: 0.4948
+[2024-05-21 16:45:44,383 INFO] Epoch:1, Snapshot:97; F1: 0.6703; Accuracy: 0.5200; Precision: 0.5270; Recall: 0.9208; ROC AUC: 0.4944
+[2024-05-21 16:45:45,149 INFO] Epoch:1, Snapshot:98; F1: 0.6694; Accuracy: 0.5240; Precision: 0.5200; Recall: 0.9396; ROC AUC: 0.5129
+[2024-05-21 16:45:45,993 INFO] Epoch:1, Snapshot:99; F1: 0.6349; Accuracy: 0.4790; Precision: 0.4829; Recall: 0.9264; ROC AUC: 0.4886
+[2024-05-21 16:45:47,103 INFO] Epoch:1, Snapshot:100; F1: 0.6658; Accuracy: 0.5130; Precision: 0.5143; Recall: 0.9436; ROC AUC: 0.5006
+[2024-05-21 16:45:47,963 INFO] Epoch:1, Snapshot:101; F1: 0.6306; Accuracy: 0.4810; Precision: 0.4753; Recall: 0.9366; ROC AUC: 0.5043
+[2024-05-21 16:45:48,791 INFO] Epoch:1, Snapshot:102; F1: 0.6526; Accuracy: 0.5050; Precision: 0.4989; Recall: 0.9432; ROC AUC: 0.5111
+[2024-05-21 16:45:49,650 INFO] Epoch:1, Snapshot:103; F1: 0.6409; Accuracy: 0.4890; Precision: 0.4882; Recall: 0.9325; ROC AUC: 0.4985
+[2024-05-21 16:45:50,449 INFO] Epoch:1, Snapshot:104; F1: 0.6394; Accuracy: 0.4890; Precision: 0.4845; Recall: 0.9398; ROC AUC: 0.5047
+[2024-05-21 16:45:51,354 INFO] Epoch:1, Snapshot:105; F1: 0.5942; Accuracy: 0.4440; Precision: 0.4391; Recall: 0.9187; ROC AUC: 0.4926
+[2024-05-21 16:45:52,292 INFO] Epoch:1, Snapshot:106; F1: 0.5852; Accuracy: 0.4330; Precision: 0.4264; Recall: 0.9324; ROC AUC: 0.4951
+[2024-05-21 16:45:53,198 INFO] Epoch:1, Snapshot:107; F1: 0.6324; Accuracy: 0.4780; Precision: 0.4782; Recall: 0.9335; ROC AUC: 0.4947
+[2024-05-21 16:45:54,183 INFO] Epoch:1, Snapshot:108; F1: 0.6681; Accuracy: 0.5220; Precision: 0.5178; Recall: 0.9413; ROC AUC: 0.5126
+[2024-05-21 16:45:55,168 INFO] Epoch:1, Snapshot:109; F1: 0.6394; Accuracy: 0.4880; Precision: 0.4903; Recall: 0.9190; ROC AUC: 0.4931
+[2024-05-21 16:45:56,012 INFO] Epoch:1, Snapshot:110; F1: 0.6491; Accuracy: 0.4930; Precision: 0.4963; Recall: 0.9380; ROC AUC: 0.4930
+[2024-05-21 16:45:56,872 INFO] Epoch:1, Snapshot:111; F1: 0.6288; Accuracy: 0.4770; Precision: 0.4728; Recall: 0.9386; ROC AUC: 0.5015
+[2024-05-21 16:45:57,888 INFO] Epoch:1, Snapshot:112; F1: 0.6653; Accuracy: 0.5130; Precision: 0.5089; Recall: 0.9603; ROC AUC: 0.5094
+[2024-05-21 16:45:58,779 INFO] Epoch:1, Snapshot:113; F1: 0.6324; Accuracy: 0.4780; Precision: 0.4818; Recall: 0.9201; ROC AUC: 0.4884
+[2024-05-21 16:45:59,904 INFO] Epoch:1, Snapshot:114; F1: 0.6712; Accuracy: 0.5160; Precision: 0.5228; Recall: 0.9374; ROC AUC: 0.4919
+[2024-05-21 16:46:00,951 INFO] Epoch:1, Snapshot:115; F1: 0.6323; Accuracy: 0.4790; Precision: 0.4756; Recall: 0.9432; ROC AUC: 0.5011
+[2024-05-21 16:46:01,952 INFO] Epoch:1, Snapshot:116; F1: 0.6507; Accuracy: 0.5030; Precision: 0.4978; Recall: 0.9391; ROC AUC: 0.5090
+[2024-05-21 16:46:02,983 INFO] Epoch:1, Snapshot:117; F1: 0.6260; Accuracy: 0.4730; Precision: 0.4727; Recall: 0.9265; ROC AUC: 0.4938
+[2024-05-21 16:46:03,937 INFO] Epoch:1, Snapshot:118; F1: 0.6699; Accuracy: 0.5180; Precision: 0.5213; Recall: 0.9368; ROC AUC: 0.4987
+[2024-05-21 16:46:04,922 INFO] Epoch:1, Snapshot:119; F1: 0.6481; Accuracy: 0.4950; Precision: 0.4921; Recall: 0.9490; ROC AUC: 0.5039
+[2024-05-21 16:46:05,891 INFO] Epoch:1, Snapshot:120; F1: 0.6339; Accuracy: 0.4790; Precision: 0.4803; Recall: 0.9318; ROC AUC: 0.4930
+[2024-05-21 16:46:06,816 INFO] Epoch:1, Snapshot:121; F1: 0.6538; Accuracy: 0.4990; Precision: 0.4979; Recall: 0.9517; ROC AUC: 0.5017
+[2024-05-21 16:46:07,704 INFO] Epoch:1, Snapshot:122; F1: 0.6739; Accuracy: 0.5170; Precision: 0.5292; Recall: 0.9275; ROC AUC: 0.4832
+[2024-05-21 16:46:08,704 INFO] Epoch:1, Snapshot:123; F1: 0.6380; Accuracy: 0.4870; Precision: 0.4860; Recall: 0.9281; ROC AUC: 0.4982
+[2024-05-21 16:46:08,720 INFO] Epoch:1, Snapshot: 29; Loss: 0.8159
+[2024-05-21 16:46:15,767 INFO] Epoch:1, Snapshot:37; F1: 0.7274; Accuracy: 0.5750; Precision: 0.5733; Recall: 0.9947; ROC AUC: 0.5067
+[2024-05-21 16:46:16,643 INFO] Epoch:1, Snapshot:38; F1: 0.6976; Accuracy: 0.5380; Precision: 0.5400; Recall: 0.9852; ROC AUC: 0.4981
+[2024-05-21 16:46:17,362 INFO] Epoch:1, Snapshot:39; F1: 0.6410; Accuracy: 0.4770; Precision: 0.4741; Recall: 0.9894; ROC AUC: 0.5042
+[2024-05-21 16:46:18,143 INFO] Epoch:1, Snapshot:40; F1: 0.6861; Accuracy: 0.5250; Precision: 0.5232; Recall: 0.9962; ROC AUC: 0.5043
+[2024-05-21 16:46:18,878 INFO] Epoch:1, Snapshot:41; F1: 0.6426; Accuracy: 0.4760; Precision: 0.4748; Recall: 0.9937; ROC AUC: 0.5016
+[2024-05-21 16:46:19,722 INFO] Epoch:1, Snapshot:42; F1: 0.6526; Accuracy: 0.4880; Precision: 0.4854; Recall: 0.9959; ROC AUC: 0.5047
+[2024-05-21 16:46:20,581 INFO] Epoch:1, Snapshot:43; F1: 0.6272; Accuracy: 0.4590; Precision: 0.4591; Recall: 0.9891; ROC AUC: 0.4983
+[2024-05-21 16:46:21,411 INFO] Epoch:1, Snapshot:44; F1: 0.7032; Accuracy: 0.5450; Precision: 0.5433; Recall: 0.9963; ROC AUC: 0.5047
+[2024-05-21 16:46:22,301 INFO] Epoch:1, Snapshot:45; F1: 0.6963; Accuracy: 0.5360; Precision: 0.5374; Recall: 0.9888; ROC AUC: 0.4988
+[2024-05-21 16:46:23,208 INFO] Epoch:1, Snapshot:46; F1: 0.6702; Accuracy: 0.5080; Precision: 0.5056; Recall: 0.9940; ROC AUC: 0.5051
+[2024-05-21 16:46:23,942 INFO] Epoch:1, Snapshot:47; F1: 0.6398; Accuracy: 0.4730; Precision: 0.4718; Recall: 0.9936; ROC AUC: 0.5015
+[2024-05-21 16:46:24,849 INFO] Epoch:1, Snapshot:48; F1: 0.6365; Accuracy: 0.4700; Precision: 0.4706; Recall: 0.9831; ROC AUC: 0.4972
+[2024-05-21 16:46:25,709 INFO] Epoch:1, Snapshot:49; F1: 0.6738; Accuracy: 0.5110; Precision: 0.5106; Recall: 0.9902; ROC AUC: 0.5012
+[2024-05-21 16:46:26,568 INFO] Epoch:1, Snapshot:50; F1: 0.6386; Accuracy: 0.4760; Precision: 0.4705; Recall: 0.9936; ROC AUC: 0.5090
+[2024-05-21 16:46:27,475 INFO] Epoch:1, Snapshot:51; F1: 0.6545; Accuracy: 0.4890; Precision: 0.4889; Recall: 0.9898; ROC AUC: 0.4998
+[2024-05-21 16:46:28,396 INFO] Epoch:1, Snapshot:52; F1: 0.6795; Accuracy: 0.5160; Precision: 0.5161; Recall: 0.9942; ROC AUC: 0.5002
+[2024-05-21 16:46:29,303 INFO] Epoch:1, Snapshot:53; F1: 0.6791; Accuracy: 0.5170; Precision: 0.5172; Recall: 0.9884; ROC AUC: 0.5004
+[2024-05-21 16:46:30,116 INFO] Epoch:1, Snapshot:54; F1: 0.6408; Accuracy: 0.4730; Precision: 0.4724; Recall: 0.9958; ROC AUC: 0.5007
+[2024-05-21 16:46:30,944 INFO] Epoch:1, Snapshot:55; F1: 0.6972; Accuracy: 0.5380; Precision: 0.5358; Recall: 0.9981; ROC AUC: 0.5055
+[2024-05-21 16:46:31,773 INFO] Epoch:1, Snapshot:56; F1: 0.6778; Accuracy: 0.5160; Precision: 0.5152; Recall: 0.9903; ROC AUC: 0.5023
+[2024-05-21 16:46:32,538 INFO] Epoch:1, Snapshot:57; F1: 0.6751; Accuracy: 0.5110; Precision: 0.5116; Recall: 0.9922; ROC AUC: 0.4992
+[2024-05-21 16:46:33,320 INFO] Epoch:1, Snapshot:58; F1: 0.6608; Accuracy: 0.4950; Precision: 0.4960; Recall: 0.9899; ROC AUC: 0.4980
+[2024-05-21 16:46:34,289 INFO] Epoch:1, Snapshot:59; F1: 0.6964; Accuracy: 0.5370; Precision: 0.5369; Recall: 0.9907; ROC AUC: 0.5018
+[2024-05-21 16:46:35,133 INFO] Epoch:1, Snapshot:60; F1: 0.6689; Accuracy: 0.5050; Precision: 0.5066; Recall: 0.9843; ROC AUC: 0.4972
+[2024-05-21 16:46:36,118 INFO] Epoch:1, Snapshot:61; F1: 0.6504; Accuracy: 0.4850; Precision: 0.4834; Recall: 0.9938; ROC AUC: 0.5027
+[2024-05-21 16:46:37,086 INFO] Epoch:1, Snapshot:62; F1: 0.6463; Accuracy: 0.4800; Precision: 0.4803; Recall: 0.9875; ROC AUC: 0.4986
+[2024-05-21 16:46:38,150 INFO] Epoch:1, Snapshot:63; F1: 0.6649; Accuracy: 0.5000; Precision: 0.5020; Recall: 0.9841; ROC AUC: 0.4961
+[2024-05-21 16:46:39,103 INFO] Epoch:1, Snapshot:64; F1: 0.6366; Accuracy: 0.4690; Precision: 0.4692; Recall: 0.9894; ROC AUC: 0.4985
+[2024-05-21 16:46:39,962 INFO] Epoch:1, Snapshot:65; F1: 0.6362; Accuracy: 0.4670; Precision: 0.4679; Recall: 0.9936; ROC AUC: 0.4977
+[2024-05-21 16:46:40,931 INFO] Epoch:1, Snapshot:66; F1: 0.7139; Accuracy: 0.5560; Precision: 0.5585; Recall: 0.9893; ROC AUC: 0.4969
+[2024-05-21 16:46:41,775 INFO] Epoch:1, Snapshot:67; F1: 0.6649; Accuracy: 0.5010; Precision: 0.5005; Recall: 0.9900; ROC AUC: 0.5010
+[2024-05-21 16:46:42,557 INFO] Epoch:1, Snapshot:68; F1: 0.6481; Accuracy: 0.4810; Precision: 0.4814; Recall: 0.9917; ROC AUC: 0.4987
+[2024-05-21 16:46:43,416 INFO] Epoch:1, Snapshot:69; F1: 0.6536; Accuracy: 0.4870; Precision: 0.4884; Recall: 0.9878; ROC AUC: 0.4968
+[2024-05-21 16:46:44,339 INFO] Epoch:1, Snapshot:70; F1: 0.6825; Accuracy: 0.5200; Precision: 0.5228; Recall: 0.9829; ROC AUC: 0.4956
+[2024-05-21 16:46:45,167 INFO] Epoch:1, Snapshot:71; F1: 0.6581; Accuracy: 0.4960; Precision: 0.4939; Recall: 0.9858; ROC AUC: 0.5037
+[2024-05-21 16:46:46,026 INFO] Epoch:1, Snapshot:72; F1: 0.6425; Accuracy: 0.4770; Precision: 0.4733; Recall: 1.0000; ROC AUC: 0.5066
+[2024-05-21 16:46:46,745 INFO] Epoch:1, Snapshot:73; F1: 0.5975; Accuracy: 0.4300; Precision: 0.4286; Recall: 0.9860; ROC AUC: 0.4991
+[2024-05-21 16:46:47,527 INFO] Epoch:1, Snapshot:74; F1: 0.6138; Accuracy: 0.4450; Precision: 0.4441; Recall: 0.9932; ROC AUC: 0.5002
+[2024-05-21 16:46:48,339 INFO] Epoch:1, Snapshot:75; F1: 0.6272; Accuracy: 0.4590; Precision: 0.4596; Recall: 0.9870; ROC AUC: 0.4972
+[2024-05-21 16:46:49,168 INFO] Epoch:1, Snapshot:76; F1: 0.6522; Accuracy: 0.4870; Precision: 0.4854; Recall: 0.9938; ROC AUC: 0.5027
+[2024-05-21 16:46:50,105 INFO] Epoch:1, Snapshot:77; F1: 0.6676; Accuracy: 0.5020; Precision: 0.5030; Recall: 0.9921; ROC AUC: 0.4980
+[2024-05-21 16:46:51,027 INFO] Epoch:1, Snapshot:78; F1: 0.7018; Accuracy: 0.5420; Precision: 0.5433; Recall: 0.9908; ROC AUC: 0.4987
+[2024-05-21 16:46:51,981 INFO] Epoch:1, Snapshot:79; F1: 0.6834; Accuracy: 0.5210; Precision: 0.5228; Recall: 0.9866; ROC AUC: 0.4975
+[2024-05-21 16:46:52,778 INFO] Epoch:1, Snapshot:80; F1: 0.6622; Accuracy: 0.4970; Precision: 0.4985; Recall: 0.9860; ROC AUC: 0.4970
+[2024-05-21 16:46:53,715 INFO] Epoch:1, Snapshot:81; F1: 0.6795; Accuracy: 0.5160; Precision: 0.5171; Recall: 0.9903; ROC AUC: 0.4983
+[2024-05-21 16:46:54,528 INFO] Epoch:1, Snapshot:82; F1: 0.6356; Accuracy: 0.4690; Precision: 0.4677; Recall: 0.9914; ROC AUC: 0.5013
+[2024-05-21 16:46:55,497 INFO] Epoch:1, Snapshot:83; F1: 0.6895; Accuracy: 0.5290; Precision: 0.5272; Recall: 0.9962; ROC AUC: 0.5044
+[2024-05-21 16:46:56,357 INFO] Epoch:1, Snapshot:84; F1: 0.6777; Accuracy: 0.5140; Precision: 0.5162; Recall: 0.9865; ROC AUC: 0.4964
+[2024-05-21 16:46:57,217 INFO] Epoch:1, Snapshot:85; F1: 0.6870; Accuracy: 0.5270; Precision: 0.5269; Recall: 0.9867; ROC AUC: 0.5018
+[2024-05-21 16:46:58,155 INFO] Epoch:1, Snapshot:86; F1: 0.6689; Accuracy: 0.5050; Precision: 0.5061; Recall: 0.9862; ROC AUC: 0.4982
+[2024-05-21 16:46:59,046 INFO] Epoch:1, Snapshot:87; F1: 0.6486; Accuracy: 0.4820; Precision: 0.4828; Recall: 0.9876; ROC AUC: 0.4977
+[2024-05-21 16:46:59,889 INFO] Epoch:1, Snapshot:88; F1: 0.6572; Accuracy: 0.4910; Precision: 0.4914; Recall: 0.9919; ROC AUC: 0.4989
+[2024-05-21 16:47:00,952 INFO] Epoch:1, Snapshot:89; F1: 0.6990; Accuracy: 0.5400; Precision: 0.5421; Recall: 0.9834; ROC AUC: 0.4983
+[2024-05-21 16:47:01,765 INFO] Epoch:1, Snapshot:90; F1: 0.6458; Accuracy: 0.4800; Precision: 0.4793; Recall: 0.9896; ROC AUC: 0.5005
+[2024-05-21 16:47:02,655 INFO] Epoch:1, Snapshot:91; F1: 0.7002; Accuracy: 0.5410; Precision: 0.5414; Recall: 0.9908; ROC AUC: 0.5008
+[2024-05-21 16:47:03,515 INFO] Epoch:1, Snapshot:92; F1: 0.6472; Accuracy: 0.4800; Precision: 0.4808; Recall: 0.9896; ROC AUC: 0.4977
+[2024-05-21 16:47:04,328 INFO] Epoch:1, Snapshot:93; F1: 0.6653; Accuracy: 0.5030; Precision: 0.5025; Recall: 0.9841; ROC AUC: 0.5011
+[2024-05-21 16:47:05,093 INFO] Epoch:1, Snapshot:94; F1: 0.6518; Accuracy: 0.4850; Precision: 0.4859; Recall: 0.9897; ROC AUC: 0.4978
+[2024-05-21 16:47:05,984 INFO] Epoch:1, Snapshot:95; F1: 0.6851; Accuracy: 0.5230; Precision: 0.5242; Recall: 0.9886; ROC AUC: 0.4985
+[2024-05-21 16:47:06,891 INFO] Epoch:1, Snapshot:96; F1: 0.6694; Accuracy: 0.5090; Precision: 0.5035; Recall: 0.9980; ROC AUC: 0.5109
+[2024-05-21 16:47:07,829 INFO] Epoch:1, Snapshot:97; F1: 0.6911; Accuracy: 0.5290; Precision: 0.5296; Recall: 0.9943; ROC AUC: 0.4993
+[2024-05-21 16:47:08,626 INFO] Epoch:1, Snapshot:98; F1: 0.6782; Accuracy: 0.5160; Precision: 0.5146; Recall: 0.9942; ROC AUC: 0.5032
+[2024-05-21 16:47:09,486 INFO] Epoch:1, Snapshot:99; F1: 0.6541; Accuracy: 0.4870; Precision: 0.4879; Recall: 0.9918; ROC AUC: 0.4979
+[2024-05-21 16:47:10,595 INFO] Epoch:1, Snapshot:100; F1: 0.6768; Accuracy: 0.5130; Precision: 0.5136; Recall: 0.9922; ROC AUC: 0.4992
+[2024-05-21 16:47:11,471 INFO] Epoch:1, Snapshot:101; F1: 0.6393; Accuracy: 0.4730; Precision: 0.4727; Recall: 0.9873; ROC AUC: 0.4994
+[2024-05-21 16:47:12,393 INFO] Epoch:1, Snapshot:102; F1: 0.6527; Accuracy: 0.4870; Precision: 0.4898; Recall: 0.9777; ROC AUC: 0.4938
+[2024-05-21 16:47:13,284 INFO] Epoch:1, Snapshot:103; F1: 0.6527; Accuracy: 0.4870; Precision: 0.4879; Recall: 0.9857; ROC AUC: 0.4977
+[2024-05-21 16:47:14,159 INFO] Epoch:1, Snapshot:104; F1: 0.6513; Accuracy: 0.4870; Precision: 0.4843; Recall: 0.9938; ROC AUC: 0.5046
+[2024-05-21 16:47:15,065 INFO] Epoch:1, Snapshot:105; F1: 0.6159; Accuracy: 0.4500; Precision: 0.4459; Recall: 0.9955; ROC AUC: 0.5058
+[2024-05-21 16:47:15,987 INFO] Epoch:1, Snapshot:106; F1: 0.5960; Accuracy: 0.4280; Precision: 0.4276; Recall: 0.9837; ROC AUC: 0.4971
+[2024-05-21 16:47:16,894 INFO] Epoch:1, Snapshot:107; F1: 0.6477; Accuracy: 0.4810; Precision: 0.4808; Recall: 0.9917; ROC AUC: 0.4997
+[2024-05-21 16:47:17,863 INFO] Epoch:1, Snapshot:108; F1: 0.6702; Accuracy: 0.5060; Precision: 0.5086; Recall: 0.9824; ROC AUC: 0.4953
+[2024-05-21 16:47:18,785 INFO] Epoch:1, Snapshot:109; F1: 0.6581; Accuracy: 0.4930; Precision: 0.4934; Recall: 0.9879; ROC AUC: 0.4989
+[2024-05-21 16:47:19,676 INFO] Epoch:1, Snapshot:110; F1: 0.6671; Accuracy: 0.5020; Precision: 0.5010; Recall: 0.9980; ROC AUC: 0.5020
+[2024-05-21 16:47:20,536 INFO] Epoch:1, Snapshot:111; F1: 0.6430; Accuracy: 0.4780; Precision: 0.4747; Recall: 0.9958; ROC AUC: 0.5055
+[2024-05-21 16:47:21,568 INFO] Epoch:1, Snapshot:112; F1: 0.6658; Accuracy: 0.5010; Precision: 0.5025; Recall: 0.9861; ROC AUC: 0.4971
+[2024-05-21 16:47:22,490 INFO] Epoch:1, Snapshot:113; F1: 0.6522; Accuracy: 0.4860; Precision: 0.4869; Recall: 0.9877; ROC AUC: 0.4978
+[2024-05-21 16:47:23,584 INFO] Epoch:1, Snapshot:114; F1: 0.6847; Accuracy: 0.5210; Precision: 0.5242; Recall: 0.9867; ROC AUC: 0.4944
+[2024-05-21 16:47:24,647 INFO] Epoch:1, Snapshot:115; F1: 0.6416; Accuracy: 0.4750; Precision: 0.4747; Recall: 0.9895; ROC AUC: 0.4995
+[2024-05-21 16:47:25,648 INFO] Epoch:1, Snapshot:116; F1: 0.6595; Accuracy: 0.4940; Precision: 0.4935; Recall: 0.9939; ROC AUC: 0.5009
+[2024-05-21 16:47:26,710 INFO] Epoch:1, Snapshot:117; F1: 0.6384; Accuracy: 0.4710; Precision: 0.4732; Recall: 0.9811; ROC AUC: 0.4944
+[2024-05-21 16:47:27,695 INFO] Epoch:1, Snapshot:118; F1: 0.6795; Accuracy: 0.5160; Precision: 0.5192; Recall: 0.9828; ROC AUC: 0.4945
+[2024-05-21 16:47:28,680 INFO] Epoch:1, Snapshot:119; F1: 0.6518; Accuracy: 0.4860; Precision: 0.4878; Recall: 0.9816; ROC AUC: 0.4957
+[2024-05-21 16:47:29,696 INFO] Epoch:1, Snapshot:120; F1: 0.6480; Accuracy: 0.4840; Precision: 0.4837; Recall: 0.9814; ROC AUC: 0.4994
+[2024-05-21 16:47:30,633 INFO] Epoch:1, Snapshot:121; F1: 0.6613; Accuracy: 0.4950; Precision: 0.4960; Recall: 0.9920; ROC AUC: 0.4980
+[2024-05-21 16:47:31,571 INFO] Epoch:1, Snapshot:122; F1: 0.6963; Accuracy: 0.5360; Precision: 0.5374; Recall: 0.9888; ROC AUC: 0.4988
+[2024-05-21 16:47:32,571 INFO] Epoch:1, Snapshot:123; F1: 0.6536; Accuracy: 0.4890; Precision: 0.4879; Recall: 0.9897; ROC AUC: 0.5017
+[2024-05-21 16:47:32,587 INFO] Epoch:1, Snapshot: 30; Loss: 0.7421
+[2024-05-21 16:47:39,791 INFO] Epoch:1, Snapshot:37; F1: 0.7227; Accuracy: 0.5680; Precision: 0.5698; Recall: 0.9877; ROC AUC: 0.4997
+[2024-05-21 16:47:40,635 INFO] Epoch:1, Snapshot:38; F1: 0.7007; Accuracy: 0.5420; Precision: 0.5420; Recall: 0.9908; ROC AUC: 0.5019
+[2024-05-21 16:47:41,416 INFO] Epoch:1, Snapshot:39; F1: 0.6366; Accuracy: 0.4690; Precision: 0.4702; Recall: 0.9852; ROC AUC: 0.4964
+[2024-05-21 16:47:42,197 INFO] Epoch:1, Snapshot:40; F1: 0.6861; Accuracy: 0.5250; Precision: 0.5232; Recall: 0.9962; ROC AUC: 0.5043
+[2024-05-21 16:47:42,932 INFO] Epoch:1, Snapshot:41; F1: 0.6425; Accuracy: 0.4770; Precision: 0.4752; Recall: 0.9916; ROC AUC: 0.5024
+[2024-05-21 16:47:43,760 INFO] Epoch:1, Snapshot:42; F1: 0.6526; Accuracy: 0.4880; Precision: 0.4854; Recall: 0.9959; ROC AUC: 0.5047
+[2024-05-21 16:47:44,542 INFO] Epoch:1, Snapshot:43; F1: 0.6265; Accuracy: 0.4610; Precision: 0.4598; Recall: 0.9826; ROC AUC: 0.4996
+[2024-05-21 16:47:45,386 INFO] Epoch:1, Snapshot:44; F1: 0.6972; Accuracy: 0.5370; Precision: 0.5395; Recall: 0.9852; ROC AUC: 0.4970
+[2024-05-21 16:47:46,245 INFO] Epoch:1, Snapshot:45; F1: 0.6984; Accuracy: 0.5380; Precision: 0.5382; Recall: 0.9944; ROC AUC: 0.5005
+[2024-05-21 16:47:47,136 INFO] Epoch:1, Snapshot:46; F1: 0.6658; Accuracy: 0.5010; Precision: 0.5020; Recall: 0.9881; ROC AUC: 0.4981
+[2024-05-21 16:47:47,871 INFO] Epoch:1, Snapshot:47; F1: 0.6379; Accuracy: 0.4710; Precision: 0.4707; Recall: 0.9894; ROC AUC: 0.4994
+[2024-05-21 16:47:48,809 INFO] Epoch:1, Snapshot:48; F1: 0.6434; Accuracy: 0.4790; Precision: 0.4752; Recall: 0.9958; ROC AUC: 0.5064
+[2024-05-21 16:47:49,731 INFO] Epoch:1, Snapshot:49; F1: 0.6716; Accuracy: 0.5090; Precision: 0.5096; Recall: 0.9843; ROC AUC: 0.4993
+[2024-05-21 16:47:50,575 INFO] Epoch:1, Snapshot:50; F1: 0.6360; Accuracy: 0.4700; Precision: 0.4677; Recall: 0.9936; ROC AUC: 0.5033
+[2024-05-21 16:47:51,435 INFO] Epoch:1, Snapshot:51; F1: 0.6540; Accuracy: 0.4890; Precision: 0.4889; Recall: 0.9877; ROC AUC: 0.4997
+[2024-05-21 16:47:52,263 INFO] Epoch:1, Snapshot:52; F1: 0.6764; Accuracy: 0.5140; Precision: 0.5152; Recall: 0.9845; ROC AUC: 0.4984
+[2024-05-21 16:47:53,155 INFO] Epoch:1, Snapshot:53; F1: 0.6778; Accuracy: 0.5170; Precision: 0.5173; Recall: 0.9826; ROC AUC: 0.5006
+[2024-05-21 16:47:53,999 INFO] Epoch:1, Snapshot:54; F1: 0.6375; Accuracy: 0.4690; Precision: 0.4703; Recall: 0.9894; ROC AUC: 0.4966
+[2024-05-21 16:47:54,827 INFO] Epoch:1, Snapshot:55; F1: 0.6929; Accuracy: 0.5320; Precision: 0.5328; Recall: 0.9906; ROC AUC: 0.4996
+[2024-05-21 16:47:55,687 INFO] Epoch:1, Snapshot:56; F1: 0.6764; Accuracy: 0.5140; Precision: 0.5142; Recall: 0.9883; ROC AUC: 0.5003
+[2024-05-21 16:47:56,499 INFO] Epoch:1, Snapshot:57; F1: 0.6738; Accuracy: 0.5090; Precision: 0.5106; Recall: 0.9902; ROC AUC: 0.4972
+[2024-05-21 16:47:57,328 INFO] Epoch:1, Snapshot:58; F1: 0.6608; Accuracy: 0.4950; Precision: 0.4960; Recall: 0.9899; ROC AUC: 0.4980
+[2024-05-21 16:47:58,266 INFO] Epoch:1, Snapshot:59; F1: 0.6963; Accuracy: 0.5360; Precision: 0.5363; Recall: 0.9925; ROC AUC: 0.5006
+[2024-05-21 16:47:59,172 INFO] Epoch:1, Snapshot:60; F1: 0.6729; Accuracy: 0.5090; Precision: 0.5086; Recall: 0.9941; ROC AUC: 0.5011
+[2024-05-21 16:48:00,188 INFO] Epoch:1, Snapshot:61; F1: 0.6467; Accuracy: 0.4800; Precision: 0.4808; Recall: 0.9876; ROC AUC: 0.4976
+[2024-05-21 16:48:01,188 INFO] Epoch:1, Snapshot:62; F1: 0.6491; Accuracy: 0.4820; Precision: 0.4814; Recall: 0.9958; ROC AUC: 0.5008
+[2024-05-21 16:48:02,251 INFO] Epoch:1, Snapshot:63; F1: 0.6644; Accuracy: 0.4990; Precision: 0.5015; Recall: 0.9841; ROC AUC: 0.4951
+[2024-05-21 16:48:03,189 INFO] Epoch:1, Snapshot:64; F1: 0.6369; Accuracy: 0.4710; Precision: 0.4701; Recall: 0.9872; ROC AUC: 0.5002
+[2024-05-21 16:48:04,079 INFO] Epoch:1, Snapshot:65; F1: 0.6352; Accuracy: 0.4670; Precision: 0.4677; Recall: 0.9893; ROC AUC: 0.4975
+[2024-05-21 16:48:05,065 INFO] Epoch:1, Snapshot:66; F1: 0.7135; Accuracy: 0.5560; Precision: 0.5586; Recall: 0.9875; ROC AUC: 0.4972
+[2024-05-21 16:48:05,878 INFO] Epoch:1, Snapshot:67; F1: 0.6658; Accuracy: 0.5020; Precision: 0.5010; Recall: 0.9920; ROC AUC: 0.5020
+[2024-05-21 16:48:06,691 INFO] Epoch:1, Snapshot:68; F1: 0.6486; Accuracy: 0.4820; Precision: 0.4819; Recall: 0.9917; ROC AUC: 0.4997
+[2024-05-21 16:48:07,550 INFO] Epoch:1, Snapshot:69; F1: 0.6568; Accuracy: 0.4920; Precision: 0.4909; Recall: 0.9918; ROC AUC: 0.5018
+[2024-05-21 16:48:08,442 INFO] Epoch:1, Snapshot:70; F1: 0.6896; Accuracy: 0.5300; Precision: 0.5278; Recall: 0.9943; ROC AUC: 0.5056
+[2024-05-21 16:48:09,270 INFO] Epoch:1, Snapshot:71; F1: 0.6613; Accuracy: 0.4980; Precision: 0.4949; Recall: 0.9959; ROC AUC: 0.5058
+[2024-05-21 16:48:10,146 INFO] Epoch:1, Snapshot:72; F1: 0.6424; Accuracy: 0.4790; Precision: 0.4742; Recall: 0.9957; ROC AUC: 0.5082
+[2024-05-21 16:48:10,852 INFO] Epoch:1, Snapshot:73; F1: 0.5900; Accuracy: 0.4190; Precision: 0.4231; Recall: 0.9744; ROC AUC: 0.4881
+[2024-05-21 16:48:11,652 INFO] Epoch:1, Snapshot:74; F1: 0.6113; Accuracy: 0.4430; Precision: 0.4429; Recall: 0.9865; ROC AUC: 0.4977
+[2024-05-21 16:48:12,445 INFO] Epoch:1, Snapshot:75; F1: 0.6303; Accuracy: 0.4640; Precision: 0.4621; Recall: 0.9913; ROC AUC: 0.5022
+[2024-05-21 16:48:13,258 INFO] Epoch:1, Snapshot:76; F1: 0.6481; Accuracy: 0.4820; Precision: 0.4828; Recall: 0.9855; ROC AUC: 0.4976
+[2024-05-21 16:48:14,180 INFO] Epoch:1, Snapshot:77; F1: 0.6689; Accuracy: 0.5040; Precision: 0.5040; Recall: 0.9940; ROC AUC: 0.5000
+[2024-05-21 16:48:15,102 INFO] Epoch:1, Snapshot:78; F1: 0.7016; Accuracy: 0.5440; Precision: 0.5447; Recall: 0.9853; ROC AUC: 0.5014
+[2024-05-21 16:48:16,009 INFO] Epoch:1, Snapshot:79; F1: 0.6884; Accuracy: 0.5310; Precision: 0.5280; Recall: 0.9885; ROC AUC: 0.5079
+[2024-05-21 16:48:16,854 INFO] Epoch:1, Snapshot:80; F1: 0.6644; Accuracy: 0.5000; Precision: 0.5000; Recall: 0.9900; ROC AUC: 0.5000
+[2024-05-21 16:48:17,792 INFO] Epoch:1, Snapshot:81; F1: 0.6812; Accuracy: 0.5190; Precision: 0.5187; Recall: 0.9923; ROC AUC: 0.5013
+[2024-05-21 16:48:18,621 INFO] Epoch:1, Snapshot:82; F1: 0.6352; Accuracy: 0.4670; Precision: 0.4668; Recall: 0.9936; ROC AUC: 0.4996
+[2024-05-21 16:48:19,621 INFO] Epoch:1, Snapshot:83; F1: 0.6847; Accuracy: 0.5230; Precision: 0.5243; Recall: 0.9867; ROC AUC: 0.4986
+[2024-05-21 16:48:20,480 INFO] Epoch:1, Snapshot:84; F1: 0.6799; Accuracy: 0.5180; Precision: 0.5182; Recall: 0.9884; ROC AUC: 0.5004
+[2024-05-21 16:48:21,371 INFO] Epoch:1, Snapshot:85; F1: 0.6873; Accuracy: 0.5250; Precision: 0.5257; Recall: 0.9924; ROC AUC: 0.4994
+[2024-05-21 16:48:22,215 INFO] Epoch:1, Snapshot:86; F1: 0.6684; Accuracy: 0.5040; Precision: 0.5056; Recall: 0.9862; ROC AUC: 0.4972
+[2024-05-21 16:48:23,137 INFO] Epoch:1, Snapshot:87; F1: 0.6477; Accuracy: 0.4810; Precision: 0.4823; Recall: 0.9855; ROC AUC: 0.4966
+[2024-05-21 16:48:24,028 INFO] Epoch:1, Snapshot:88; F1: 0.6541; Accuracy: 0.4880; Precision: 0.4899; Recall: 0.9837; ROC AUC: 0.4958
+[2024-05-21 16:48:25,060 INFO] Epoch:1, Snapshot:89; F1: 0.7010; Accuracy: 0.5410; Precision: 0.5423; Recall: 0.9908; ROC AUC: 0.4987
+[2024-05-21 16:48:25,935 INFO] Epoch:1, Snapshot:90; F1: 0.6458; Accuracy: 0.4790; Precision: 0.4788; Recall: 0.9916; ROC AUC: 0.4997
+[2024-05-21 16:48:26,857 INFO] Epoch:1, Snapshot:91; F1: 0.6988; Accuracy: 0.5370; Precision: 0.5392; Recall: 0.9926; ROC AUC: 0.4963
+[2024-05-21 16:48:27,716 INFO] Epoch:1, Snapshot:92; F1: 0.6459; Accuracy: 0.4780; Precision: 0.4798; Recall: 0.9876; ROC AUC: 0.4957
+[2024-05-21 16:48:28,560 INFO] Epoch:1, Snapshot:93; F1: 0.6676; Accuracy: 0.5030; Precision: 0.5025; Recall: 0.9940; ROC AUC: 0.5010
+[2024-05-21 16:48:29,357 INFO] Epoch:1, Snapshot:94; F1: 0.6504; Accuracy: 0.4850; Precision: 0.4858; Recall: 0.9836; ROC AUC: 0.4976
+[2024-05-21 16:48:30,264 INFO] Epoch:1, Snapshot:95; F1: 0.6865; Accuracy: 0.5250; Precision: 0.5253; Recall: 0.9905; ROC AUC: 0.5005
+[2024-05-21 16:48:31,186 INFO] Epoch:1, Snapshot:96; F1: 0.6631; Accuracy: 0.4980; Precision: 0.4980; Recall: 0.9920; ROC AUC: 0.5000
+[2024-05-21 16:48:32,139 INFO] Epoch:1, Snapshot:97; F1: 0.6921; Accuracy: 0.5310; Precision: 0.5307; Recall: 0.9943; ROC AUC: 0.5014
+[2024-05-21 16:48:32,889 INFO] Epoch:1, Snapshot:98; F1: 0.6773; Accuracy: 0.5130; Precision: 0.5131; Recall: 0.9961; ROC AUC: 0.5001
+[2024-05-21 16:48:33,733 INFO] Epoch:1, Snapshot:99; F1: 0.6576; Accuracy: 0.4950; Precision: 0.4919; Recall: 0.9918; ROC AUC: 0.5057
+[2024-05-21 16:48:34,858 INFO] Epoch:1, Snapshot:100; F1: 0.6786; Accuracy: 0.5160; Precision: 0.5151; Recall: 0.9942; ROC AUC: 0.5022
+[2024-05-21 16:48:35,780 INFO] Epoch:1, Snapshot:101; F1: 0.6416; Accuracy: 0.4760; Precision: 0.4742; Recall: 0.9915; ROC AUC: 0.5024
+[2024-05-21 16:48:36,687 INFO] Epoch:1, Snapshot:102; F1: 0.6590; Accuracy: 0.4940; Precision: 0.4934; Recall: 0.9919; ROC AUC: 0.5009
+[2024-05-21 16:48:37,577 INFO] Epoch:1, Snapshot:103; F1: 0.6559; Accuracy: 0.4890; Precision: 0.4890; Recall: 0.9959; ROC AUC: 0.4999
+[2024-05-21 16:48:38,437 INFO] Epoch:1, Snapshot:104; F1: 0.6467; Accuracy: 0.4800; Precision: 0.4808; Recall: 0.9876; ROC AUC: 0.4976
+[2024-05-21 16:48:39,375 INFO] Epoch:1, Snapshot:105; F1: 0.6141; Accuracy: 0.4470; Precision: 0.4444; Recall: 0.9932; ROC AUC: 0.5029
+[2024-05-21 16:48:40,328 INFO] Epoch:1, Snapshot:106; F1: 0.6000; Accuracy: 0.4320; Precision: 0.4299; Recall: 0.9930; ROC AUC: 0.5018
+[2024-05-21 16:48:41,234 INFO] Epoch:1, Snapshot:107; F1: 0.6471; Accuracy: 0.4830; Precision: 0.4817; Recall: 0.9854; ROC AUC: 0.5014
+[2024-05-21 16:48:42,235 INFO] Epoch:1, Snapshot:108; F1: 0.6760; Accuracy: 0.5130; Precision: 0.5121; Recall: 0.9941; ROC AUC: 0.5022
+[2024-05-21 16:48:43,188 INFO] Epoch:1, Snapshot:109; F1: 0.6568; Accuracy: 0.4910; Precision: 0.4924; Recall: 0.9858; ROC AUC: 0.4969
+[2024-05-21 16:48:44,064 INFO] Epoch:1, Snapshot:110; F1: 0.6604; Accuracy: 0.4940; Precision: 0.4970; Recall: 0.9840; ROC AUC: 0.4940
+[2024-05-21 16:48:44,860 INFO] Epoch:1, Snapshot:111; F1: 0.6425; Accuracy: 0.4770; Precision: 0.4743; Recall: 0.9958; ROC AUC: 0.5045
+[2024-05-21 16:48:45,907 INFO] Epoch:1, Snapshot:112; F1: 0.6653; Accuracy: 0.5010; Precision: 0.5025; Recall: 0.9841; ROC AUC: 0.4971
+[2024-05-21 16:48:46,814 INFO] Epoch:1, Snapshot:113; F1: 0.6554; Accuracy: 0.4900; Precision: 0.4889; Recall: 0.9939; ROC AUC: 0.5018
+[2024-05-21 16:48:47,908 INFO] Epoch:1, Snapshot:114; F1: 0.6882; Accuracy: 0.5270; Precision: 0.5273; Recall: 0.9905; ROC AUC: 0.5005
+[2024-05-21 16:48:48,971 INFO] Epoch:1, Snapshot:115; F1: 0.6434; Accuracy: 0.4790; Precision: 0.4767; Recall: 0.9895; ROC AUC: 0.5033
+[2024-05-21 16:48:50,049 INFO] Epoch:1, Snapshot:116; F1: 0.6540; Accuracy: 0.4890; Precision: 0.4909; Recall: 0.9797; ROC AUC: 0.4958
+[2024-05-21 16:48:51,081 INFO] Epoch:1, Snapshot:117; F1: 0.6439; Accuracy: 0.4780; Precision: 0.4768; Recall: 0.9916; ROC AUC: 0.5015
+[2024-05-21 16:48:52,066 INFO] Epoch:1, Snapshot:118; F1: 0.6834; Accuracy: 0.5210; Precision: 0.5217; Recall: 0.9904; ROC AUC: 0.4994
+[2024-05-21 16:48:53,066 INFO] Epoch:1, Snapshot:119; F1: 0.6568; Accuracy: 0.4920; Precision: 0.4909; Recall: 0.9918; ROC AUC: 0.5018
+[2024-05-21 16:48:54,035 INFO] Epoch:1, Snapshot:120; F1: 0.6553; Accuracy: 0.4950; Precision: 0.4893; Recall: 0.9917; ROC AUC: 0.5104
+[2024-05-21 16:48:55,020 INFO] Epoch:1, Snapshot:121; F1: 0.6599; Accuracy: 0.4940; Precision: 0.4955; Recall: 0.9879; ROC AUC: 0.4969
+[2024-05-21 16:48:55,990 INFO] Epoch:1, Snapshot:122; F1: 0.7037; Accuracy: 0.5470; Precision: 0.5429; Recall: 1.0000; ROC AUC: 0.5097
+[2024-05-21 16:48:57,021 INFO] Epoch:1, Snapshot:123; F1: 0.6508; Accuracy: 0.4850; Precision: 0.4858; Recall: 0.9856; ROC AUC: 0.4977
+[2024-05-21 16:48:57,037 INFO] Epoch:1, Snapshot: 31; Loss: 0.7315
+[2024-05-21 16:49:03,743 INFO] Epoch:1, Snapshot:37; F1: 0.6967; Accuracy: 0.5490; Precision: 0.5649; Recall: 0.9088; ROC AUC: 0.4904
+[2024-05-21 16:49:04,603 INFO] Epoch:1, Snapshot:38; F1: 0.6740; Accuracy: 0.5290; Precision: 0.5387; Recall: 0.9002; ROC AUC: 0.4958
+[2024-05-21 16:49:05,337 INFO] Epoch:1, Snapshot:39; F1: 0.6145; Accuracy: 0.4680; Precision: 0.4670; Recall: 0.8983; ROC AUC: 0.4908
+[2024-05-21 16:49:06,167 INFO] Epoch:1, Snapshot:40; F1: 0.6723; Accuracy: 0.5340; Precision: 0.5305; Recall: 0.9175; ROC AUC: 0.5172
+[2024-05-21 16:49:06,933 INFO] Epoch:1, Snapshot:41; F1: 0.6246; Accuracy: 0.4880; Precision: 0.4787; Recall: 0.8987; ROC AUC: 0.5083
+[2024-05-21 16:49:07,793 INFO] Epoch:1, Snapshot:42; F1: 0.6310; Accuracy: 0.4960; Precision: 0.4881; Recall: 0.8923; ROC AUC: 0.5090
+[2024-05-21 16:49:08,591 INFO] Epoch:1, Snapshot:43; F1: 0.6065; Accuracy: 0.4640; Precision: 0.4579; Recall: 0.8978; ROC AUC: 0.4961
+[2024-05-21 16:49:09,435 INFO] Epoch:1, Snapshot:44; F1: 0.6648; Accuracy: 0.5140; Precision: 0.5303; Recall: 0.8909; ROC AUC: 0.4803
+[2024-05-21 16:49:10,310 INFO] Epoch:1, Snapshot:45; F1: 0.6791; Accuracy: 0.5370; Precision: 0.5414; Recall: 0.9108; ROC AUC: 0.5063
+[2024-05-21 16:49:11,233 INFO] Epoch:1, Snapshot:46; F1: 0.6394; Accuracy: 0.4970; Precision: 0.5000; Recall: 0.8867; ROC AUC: 0.4946
+[2024-05-21 16:49:11,983 INFO] Epoch:1, Snapshot:47; F1: 0.6174; Accuracy: 0.4770; Precision: 0.4710; Recall: 0.8960; ROC AUC: 0.5000
+[2024-05-21 16:49:12,921 INFO] Epoch:1, Snapshot:48; F1: 0.6095; Accuracy: 0.4720; Precision: 0.4682; Recall: 0.8729; ROC AUC: 0.4933
+[2024-05-21 16:49:13,796 INFO] Epoch:1, Snapshot:49; F1: 0.6539; Accuracy: 0.5130; Precision: 0.5128; Recall: 0.9020; ROC AUC: 0.5051
+[2024-05-21 16:49:14,624 INFO] Epoch:1, Snapshot:50; F1: 0.6199; Accuracy: 0.4740; Precision: 0.4673; Recall: 0.9206; ROC AUC: 0.5024
+[2024-05-21 16:49:15,468 INFO] Epoch:1, Snapshot:51; F1: 0.6235; Accuracy: 0.4820; Precision: 0.4837; Recall: 0.8773; ROC AUC: 0.4905
+[2024-05-21 16:49:16,313 INFO] Epoch:1, Snapshot:52; F1: 0.6531; Accuracy: 0.5070; Precision: 0.5127; Recall: 0.8992; ROC AUC: 0.4940
+[2024-05-21 16:49:17,234 INFO] Epoch:1, Snapshot:53; F1: 0.6582; Accuracy: 0.5160; Precision: 0.5184; Recall: 0.9014; ROC AUC: 0.5024
+[2024-05-21 16:49:18,063 INFO] Epoch:1, Snapshot:54; F1: 0.6127; Accuracy: 0.4740; Precision: 0.4695; Recall: 0.8814; ROC AUC: 0.4956
+[2024-05-21 16:49:18,923 INFO] Epoch:1, Snapshot:55; F1: 0.6657; Accuracy: 0.5340; Precision: 0.5389; Recall: 0.8705; ROC AUC: 0.5102
+[2024-05-21 16:49:19,752 INFO] Epoch:1, Snapshot:56; F1: 0.6591; Accuracy: 0.5210; Precision: 0.5196; Recall: 0.9008; ROC AUC: 0.5101
+[2024-05-21 16:49:20,564 INFO] Epoch:1, Snapshot:57; F1: 0.6586; Accuracy: 0.5200; Precision: 0.5179; Recall: 0.9043; ROC AUC: 0.5106
+[2024-05-21 16:49:21,393 INFO] Epoch:1, Snapshot:58; F1: 0.6401; Accuracy: 0.5030; Precision: 0.5000; Recall: 0.8893; ROC AUC: 0.5053
+[2024-05-21 16:49:22,362 INFO] Epoch:1, Snapshot:59; F1: 0.6843; Accuracy: 0.5470; Precision: 0.5462; Recall: 0.9160; ROC AUC: 0.5184
+[2024-05-21 16:49:23,238 INFO] Epoch:1, Snapshot:60; F1: 0.6516; Accuracy: 0.5060; Precision: 0.5077; Recall: 0.9094; ROC AUC: 0.4994
+[2024-05-21 16:49:24,239 INFO] Epoch:1, Snapshot:61; F1: 0.6188; Accuracy: 0.4740; Precision: 0.4755; Recall: 0.8859; ROC AUC: 0.4883
+[2024-05-21 16:49:25,255 INFO] Epoch:1, Snapshot:62; F1: 0.6322; Accuracy: 0.4950; Precision: 0.4865; Recall: 0.9023; ROC AUC: 0.5099
+[2024-05-21 16:49:26,318 INFO] Epoch:1, Snapshot:63; F1: 0.6557; Accuracy: 0.5170; Precision: 0.5117; Recall: 0.9127; ROC AUC: 0.5138
+[2024-05-21 16:49:27,287 INFO] Epoch:1, Snapshot:64; F1: 0.6191; Accuracy: 0.4770; Precision: 0.4707; Recall: 0.9043; ROC AUC: 0.5012
+[2024-05-21 16:49:28,162 INFO] Epoch:1, Snapshot:65; F1: 0.6021; Accuracy: 0.4580; Precision: 0.4591; Recall: 0.8742; ROC AUC: 0.4823
+[2024-05-21 16:49:29,147 INFO] Epoch:1, Snapshot:66; F1: 0.6778; Accuracy: 0.5350; Precision: 0.5538; Recall: 0.8732; ROC AUC: 0.4889
+[2024-05-21 16:49:30,038 INFO] Epoch:1, Snapshot:67; F1: 0.6530; Accuracy: 0.5080; Precision: 0.5044; Recall: 0.9260; ROC AUC: 0.5080
+[2024-05-21 16:49:30,866 INFO] Epoch:1, Snapshot:68; F1: 0.6112; Accuracy: 0.4720; Precision: 0.4737; Recall: 0.8610; ROC AUC: 0.4855
+[2024-05-21 16:49:31,694 INFO] Epoch:1, Snapshot:69; F1: 0.6234; Accuracy: 0.4840; Precision: 0.4852; Recall: 0.8714; ROC AUC: 0.4916
+[2024-05-21 16:49:32,616 INFO] Epoch:1, Snapshot:70; F1: 0.6639; Accuracy: 0.5220; Precision: 0.5262; Recall: 0.8990; ROC AUC: 0.5022
+[2024-05-21 16:49:33,492 INFO] Epoch:1, Snapshot:71; F1: 0.6303; Accuracy: 0.4850; Precision: 0.4872; Recall: 0.8923; ROC AUC: 0.4914
+[2024-05-21 16:49:34,320 INFO] Epoch:1, Snapshot:72; F1: 0.6282; Accuracy: 0.4850; Precision: 0.4754; Recall: 0.9255; ROC AUC: 0.5099
+[2024-05-21 16:49:35,070 INFO] Epoch:1, Snapshot:73; F1: 0.5862; Accuracy: 0.4550; Precision: 0.4347; Recall: 0.8998; ROC AUC: 0.5103
+[2024-05-21 16:49:35,821 INFO] Epoch:1, Snapshot:74; F1: 0.5938; Accuracy: 0.4500; Precision: 0.4418; Recall: 0.9054; ROC AUC: 0.4959
+[2024-05-21 16:49:36,650 INFO] Epoch:1, Snapshot:75; F1: 0.6245; Accuracy: 0.4840; Precision: 0.4699; Recall: 0.9306; ROC AUC: 0.5163
+[2024-05-21 16:49:37,416 INFO] Epoch:1, Snapshot:76; F1: 0.6404; Accuracy: 0.4980; Precision: 0.4901; Recall: 0.9236; ROC AUC: 0.5112
+[2024-05-21 16:49:38,371 INFO] Epoch:1, Snapshot:77; F1: 0.6488; Accuracy: 0.5010; Precision: 0.5027; Recall: 0.9147; ROC AUC: 0.4977
+[2024-05-21 16:49:39,261 INFO] Epoch:1, Snapshot:78; F1: 0.6841; Accuracy: 0.5410; Precision: 0.5468; Recall: 0.9136; ROC AUC: 0.5050
+[2024-05-21 16:49:40,153 INFO] Epoch:1, Snapshot:79; F1: 0.6667; Accuracy: 0.5220; Precision: 0.5253; Recall: 0.9122; ROC AUC: 0.5023
+[2024-05-21 16:49:41,012 INFO] Epoch:1, Snapshot:80; F1: 0.6402; Accuracy: 0.5020; Precision: 0.5011; Recall: 0.8860; ROC AUC: 0.5020
+[2024-05-21 16:49:41,965 INFO] Epoch:1, Snapshot:81; F1: 0.6597; Accuracy: 0.5130; Precision: 0.5170; Recall: 0.9112; ROC AUC: 0.4981
+[2024-05-21 16:49:42,794 INFO] Epoch:1, Snapshot:82; F1: 0.6205; Accuracy: 0.4790; Precision: 0.4702; Recall: 0.9122; ROC AUC: 0.5058
+[2024-05-21 16:49:43,779 INFO] Epoch:1, Snapshot:83; F1: 0.6784; Accuracy: 0.5420; Precision: 0.5373; Recall: 0.9200; ROC AUC: 0.5221
+[2024-05-21 16:49:44,623 INFO] Epoch:1, Snapshot:84; F1: 0.6620; Accuracy: 0.5170; Precision: 0.5192; Recall: 0.9131; ROC AUC: 0.5022
+[2024-05-21 16:49:45,560 INFO] Epoch:1, Snapshot:85; F1: 0.6690; Accuracy: 0.5230; Precision: 0.5268; Recall: 0.9163; ROC AUC: 0.5014
+[2024-05-21 16:49:46,420 INFO] Epoch:1, Snapshot:86; F1: 0.6480; Accuracy: 0.5100; Precision: 0.5096; Recall: 0.8895; ROC AUC: 0.5046
+[2024-05-21 16:49:47,311 INFO] Epoch:1, Snapshot:87; F1: 0.6361; Accuracy: 0.4920; Precision: 0.4868; Recall: 0.9174; ROC AUC: 0.5052
+[2024-05-21 16:49:48,186 INFO] Epoch:1, Snapshot:88; F1: 0.6403; Accuracy: 0.4990; Precision: 0.4950; Recall: 0.9065; ROC AUC: 0.5054
+[2024-05-21 16:49:49,265 INFO] Epoch:1, Snapshot:89; F1: 0.6625; Accuracy: 0.5170; Precision: 0.5338; Recall: 0.8729; ROC AUC: 0.4835
+[2024-05-21 16:49:50,093 INFO] Epoch:1, Snapshot:90; F1: 0.6341; Accuracy: 0.4910; Precision: 0.4836; Recall: 0.9207; ROC AUC: 0.5083
+[2024-05-21 16:49:51,031 INFO] Epoch:1, Snapshot:91; F1: 0.6782; Accuracy: 0.5370; Precision: 0.5434; Recall: 0.9020; ROC AUC: 0.5044
+[2024-05-21 16:49:51,985 INFO] Epoch:1, Snapshot:92; F1: 0.6194; Accuracy: 0.4740; Precision: 0.4756; Recall: 0.8880; ROC AUC: 0.4884
+[2024-05-21 16:49:52,797 INFO] Epoch:1, Snapshot:93; F1: 0.6399; Accuracy: 0.4970; Precision: 0.4994; Recall: 0.8904; ROC AUC: 0.4954
+[2024-05-21 16:49:53,548 INFO] Epoch:1, Snapshot:94; F1: 0.6198; Accuracy: 0.4750; Precision: 0.4787; Recall: 0.8789; ROC AUC: 0.4852
+[2024-05-21 16:49:54,439 INFO] Epoch:1, Snapshot:95; F1: 0.6583; Accuracy: 0.5100; Precision: 0.5193; Recall: 0.8990; ROC AUC: 0.4895
+[2024-05-21 16:49:55,346 INFO] Epoch:1, Snapshot:96; F1: 0.6293; Accuracy: 0.4770; Precision: 0.4863; Recall: 0.8916; ROC AUC: 0.4787
+[2024-05-21 16:49:56,315 INFO] Epoch:1, Snapshot:97; F1: 0.6704; Accuracy: 0.5280; Precision: 0.5322; Recall: 0.9057; ROC AUC: 0.5039
+[2024-05-21 16:49:57,096 INFO] Epoch:1, Snapshot:98; F1: 0.6559; Accuracy: 0.5120; Precision: 0.5138; Recall: 0.9064; ROC AUC: 0.5015
+[2024-05-21 16:49:58,018 INFO] Epoch:1, Snapshot:99; F1: 0.6400; Accuracy: 0.4960; Precision: 0.4918; Recall: 0.9162; ROC AUC: 0.5050
+[2024-05-21 16:49:59,098 INFO] Epoch:1, Snapshot:100; F1: 0.6540; Accuracy: 0.5090; Precision: 0.5127; Recall: 0.9027; ROC AUC: 0.4977
+[2024-05-21 16:49:59,973 INFO] Epoch:1, Snapshot:101; F1: 0.6208; Accuracy: 0.4870; Precision: 0.4773; Recall: 0.8879; ROC AUC: 0.5075
+[2024-05-21 16:50:00,848 INFO] Epoch:1, Snapshot:102; F1: 0.6445; Accuracy: 0.5090; Precision: 0.5011; Recall: 0.9026; ROC AUC: 0.5144
+[2024-05-21 16:50:01,708 INFO] Epoch:1, Snapshot:103; F1: 0.6320; Accuracy: 0.4910; Precision: 0.4888; Recall: 0.8937; ROC AUC: 0.4997
+[2024-05-21 16:50:02,505 INFO] Epoch:1, Snapshot:104; F1: 0.6254; Accuracy: 0.4860; Precision: 0.4820; Recall: 0.8900; ROC AUC: 0.5000
+[2024-05-21 16:50:03,443 INFO] Epoch:1, Snapshot:105; F1: 0.5962; Accuracy: 0.4460; Precision: 0.4403; Recall: 0.9233; ROC AUC: 0.4948
+[2024-05-21 16:50:04,366 INFO] Epoch:1, Snapshot:106; F1: 0.5740; Accuracy: 0.4330; Precision: 0.4235; Recall: 0.8904; ROC AUC: 0.4899
+[2024-05-21 16:50:05,272 INFO] Epoch:1, Snapshot:107; F1: 0.6313; Accuracy: 0.4930; Precision: 0.4855; Recall: 0.9023; ROC AUC: 0.5080
+[2024-05-21 16:50:06,304 INFO] Epoch:1, Snapshot:108; F1: 0.6557; Accuracy: 0.5170; Precision: 0.5157; Recall: 0.9002; ROC AUC: 0.5084
+[2024-05-21 16:50:07,210 INFO] Epoch:1, Snapshot:109; F1: 0.6323; Accuracy: 0.4940; Precision: 0.4932; Recall: 0.8806; ROC AUC: 0.4986
+[2024-05-21 16:50:08,054 INFO] Epoch:1, Snapshot:110; F1: 0.6428; Accuracy: 0.5020; Precision: 0.5011; Recall: 0.8960; ROC AUC: 0.5020
+[2024-05-21 16:50:08,851 INFO] Epoch:1, Snapshot:111; F1: 0.6268; Accuracy: 0.4880; Precision: 0.4778; Recall: 0.9110; ROC AUC: 0.5104
+[2024-05-21 16:50:09,883 INFO] Epoch:1, Snapshot:112; F1: 0.6513; Accuracy: 0.5150; Precision: 0.5107; Recall: 0.8988; ROC AUC: 0.5119
+[2024-05-21 16:50:10,774 INFO] Epoch:1, Snapshot:113; F1: 0.6298; Accuracy: 0.4850; Precision: 0.4850; Recall: 0.8975; ROC AUC: 0.4947
+[2024-05-21 16:50:11,852 INFO] Epoch:1, Snapshot:114; F1: 0.6577; Accuracy: 0.5140; Precision: 0.5230; Recall: 0.8861; ROC AUC: 0.4928
+[2024-05-21 16:50:12,883 INFO] Epoch:1, Snapshot:115; F1: 0.6311; Accuracy: 0.4950; Precision: 0.4832; Recall: 0.9095; ROC AUC: 0.5147
+[2024-05-21 16:50:13,853 INFO] Epoch:1, Snapshot:116; F1: 0.6417; Accuracy: 0.4920; Precision: 0.4919; Recall: 0.9229; ROC AUC: 0.4979
+[2024-05-21 16:50:14,902 INFO] Epoch:1, Snapshot:117; F1: 0.6339; Accuracy: 0.4940; Precision: 0.4834; Recall: 0.9202; ROC AUC: 0.5135
+[2024-05-21 16:50:15,837 INFO] Epoch:1, Snapshot:118; F1: 0.6685; Accuracy: 0.5300; Precision: 0.5290; Recall: 0.9080; ROC AUC: 0.5126
+[2024-05-21 16:50:16,822 INFO] Epoch:1, Snapshot:119; F1: 0.6293; Accuracy: 0.4840; Precision: 0.4856; Recall: 0.8939; ROC AUC: 0.4920
+[2024-05-21 16:50:17,807 INFO] Epoch:1, Snapshot:120; F1: 0.6207; Accuracy: 0.4720; Precision: 0.4758; Recall: 0.8926; ROC AUC: 0.4850
+[2024-05-21 16:50:18,760 INFO] Epoch:1, Snapshot:121; F1: 0.6305; Accuracy: 0.4830; Precision: 0.4889; Recall: 0.8873; ROC AUC: 0.4854
+[2024-05-21 16:50:19,666 INFO] Epoch:1, Snapshot:122; F1: 0.6722; Accuracy: 0.5290; Precision: 0.5373; Recall: 0.8978; ROC AUC: 0.4987
+[2024-05-21 16:50:20,698 INFO] Epoch:1, Snapshot:123; F1: 0.6138; Accuracy: 0.4740; Precision: 0.4777; Recall: 0.8583; ROC AUC: 0.4837
+[2024-05-21 16:50:20,698 INFO] Epoch:1, Snapshot: 32; Loss: 0.7122
+[2024-05-21 16:50:27,699 INFO] Epoch:1, Snapshot:37; F1: 0.7232; Accuracy: 0.5690; Precision: 0.5704; Recall: 0.9877; ROC AUC: 0.5008
+[2024-05-21 16:50:28,529 INFO] Epoch:1, Snapshot:38; F1: 0.6999; Accuracy: 0.5420; Precision: 0.5421; Recall: 0.9871; ROC AUC: 0.5022
+[2024-05-21 16:50:29,246 INFO] Epoch:1, Snapshot:39; F1: 0.6421; Accuracy: 0.4760; Precision: 0.4738; Recall: 0.9958; ROC AUC: 0.5036
+[2024-05-21 16:50:30,075 INFO] Epoch:1, Snapshot:40; F1: 0.6839; Accuracy: 0.5230; Precision: 0.5223; Recall: 0.9904; ROC AUC: 0.5025
+[2024-05-21 16:50:30,825 INFO] Epoch:1, Snapshot:41; F1: 0.6402; Accuracy: 0.4740; Precision: 0.4737; Recall: 0.9873; ROC AUC: 0.4994
+[2024-05-21 16:50:31,654 INFO] Epoch:1, Snapshot:42; F1: 0.6521; Accuracy: 0.4890; Precision: 0.4858; Recall: 0.9917; ROC AUC: 0.5055
+[2024-05-21 16:50:32,466 INFO] Epoch:1, Snapshot:43; F1: 0.6285; Accuracy: 0.4610; Precision: 0.4601; Recall: 0.9913; ROC AUC: 0.5003
+[2024-05-21 16:50:33,294 INFO] Epoch:1, Snapshot:44; F1: 0.7011; Accuracy: 0.5430; Precision: 0.5425; Recall: 0.9908; ROC AUC: 0.5030
+[2024-05-21 16:50:34,169 INFO] Epoch:1, Snapshot:45; F1: 0.6951; Accuracy: 0.5350; Precision: 0.5370; Recall: 0.9851; ROC AUC: 0.4980
+[2024-05-21 16:50:35,091 INFO] Epoch:1, Snapshot:46; F1: 0.6676; Accuracy: 0.5040; Precision: 0.5035; Recall: 0.9901; ROC AUC: 0.5011
+[2024-05-21 16:50:35,826 INFO] Epoch:1, Snapshot:47; F1: 0.6385; Accuracy: 0.4700; Precision: 0.4704; Recall: 0.9936; ROC AUC: 0.4987
+[2024-05-21 16:50:36,749 INFO] Epoch:1, Snapshot:48; F1: 0.6393; Accuracy: 0.4720; Precision: 0.4718; Recall: 0.9915; ROC AUC: 0.4996
+[2024-05-21 16:50:37,655 INFO] Epoch:1, Snapshot:49; F1: 0.6729; Accuracy: 0.5100; Precision: 0.5101; Recall: 0.9882; ROC AUC: 0.5002
+[2024-05-21 16:50:38,484 INFO] Epoch:1, Snapshot:50; F1: 0.6341; Accuracy: 0.4680; Precision: 0.4666; Recall: 0.9893; ROC AUC: 0.5012
+[2024-05-21 16:50:39,343 INFO] Epoch:1, Snapshot:51; F1: 0.6500; Accuracy: 0.4830; Precision: 0.4858; Recall: 0.9816; ROC AUC: 0.4937
+[2024-05-21 16:50:40,188 INFO] Epoch:1, Snapshot:52; F1: 0.6786; Accuracy: 0.5160; Precision: 0.5162; Recall: 0.9903; ROC AUC: 0.5003
+[2024-05-21 16:50:41,063 INFO] Epoch:1, Snapshot:53; F1: 0.6795; Accuracy: 0.5170; Precision: 0.5172; Recall: 0.9903; ROC AUC: 0.5003
+[2024-05-21 16:50:41,844 INFO] Epoch:1, Snapshot:54; F1: 0.6398; Accuracy: 0.4720; Precision: 0.4718; Recall: 0.9936; ROC AUC: 0.4997
+[2024-05-21 16:50:42,672 INFO] Epoch:1, Snapshot:55; F1: 0.6912; Accuracy: 0.5310; Precision: 0.5325; Recall: 0.9850; ROC AUC: 0.4989
+[2024-05-21 16:50:43,516 INFO] Epoch:1, Snapshot:56; F1: 0.6787; Accuracy: 0.5180; Precision: 0.5162; Recall: 0.9903; ROC AUC: 0.5044
+[2024-05-21 16:50:44,298 INFO] Epoch:1, Snapshot:57; F1: 0.6738; Accuracy: 0.5090; Precision: 0.5106; Recall: 0.9902; ROC AUC: 0.4972
+[2024-05-21 16:50:45,111 INFO] Epoch:1, Snapshot:58; F1: 0.6608; Accuracy: 0.4960; Precision: 0.4965; Recall: 0.9879; ROC AUC: 0.4989
+[2024-05-21 16:50:46,048 INFO] Epoch:1, Snapshot:59; F1: 0.6985; Accuracy: 0.5390; Precision: 0.5378; Recall: 0.9963; ROC AUC: 0.5035
+[2024-05-21 16:50:46,955 INFO] Epoch:1, Snapshot:60; F1: 0.6716; Accuracy: 0.5090; Precision: 0.5086; Recall: 0.9882; ROC AUC: 0.5012
+[2024-05-21 16:50:48,002 INFO] Epoch:1, Snapshot:61; F1: 0.6472; Accuracy: 0.4810; Precision: 0.4813; Recall: 0.9876; ROC AUC: 0.4986
+[2024-05-21 16:50:48,972 INFO] Epoch:1, Snapshot:62; F1: 0.6481; Accuracy: 0.4820; Precision: 0.4813; Recall: 0.9917; ROC AUC: 0.5007
+[2024-05-21 16:50:50,050 INFO] Epoch:1, Snapshot:63; F1: 0.6658; Accuracy: 0.5000; Precision: 0.5020; Recall: 0.9881; ROC AUC: 0.4961
+[2024-05-21 16:50:51,004 INFO] Epoch:1, Snapshot:64; F1: 0.6351; Accuracy: 0.4690; Precision: 0.4690; Recall: 0.9830; ROC AUC: 0.4981
+[2024-05-21 16:50:51,879 INFO] Epoch:1, Snapshot:65; F1: 0.6374; Accuracy: 0.4710; Precision: 0.4697; Recall: 0.9915; ROC AUC: 0.5014
+[2024-05-21 16:50:52,848 INFO] Epoch:1, Snapshot:66; F1: 0.7178; Accuracy: 0.5620; Precision: 0.5615; Recall: 0.9946; ROC AUC: 0.5030
+[2024-05-21 16:50:53,661 INFO] Epoch:1, Snapshot:67; F1: 0.6604; Accuracy: 0.4980; Precision: 0.4990; Recall: 0.9760; ROC AUC: 0.4980
+[2024-05-21 16:50:54,443 INFO] Epoch:1, Snapshot:68; F1: 0.6449; Accuracy: 0.4770; Precision: 0.4793; Recall: 0.9855; ROC AUC: 0.4947
+[2024-05-21 16:50:55,255 INFO] Epoch:1, Snapshot:69; F1: 0.6549; Accuracy: 0.4900; Precision: 0.4899; Recall: 0.9878; ROC AUC: 0.4998
+[2024-05-21 16:50:56,177 INFO] Epoch:1, Snapshot:70; F1: 0.6825; Accuracy: 0.5200; Precision: 0.5228; Recall: 0.9829; ROC AUC: 0.4956
+[2024-05-21 16:50:57,037 INFO] Epoch:1, Snapshot:71; F1: 0.6572; Accuracy: 0.4930; Precision: 0.4924; Recall: 0.9878; ROC AUC: 0.5008
+[2024-05-21 16:50:57,896 INFO] Epoch:1, Snapshot:72; F1: 0.6366; Accuracy: 0.4690; Precision: 0.4692; Recall: 0.9894; ROC AUC: 0.4985
+[2024-05-21 16:50:58,600 INFO] Epoch:1, Snapshot:73; F1: 0.5972; Accuracy: 0.4280; Precision: 0.4279; Recall: 0.9883; ROC AUC: 0.4977
+[2024-05-21 16:50:59,382 INFO] Epoch:1, Snapshot:74; F1: 0.6150; Accuracy: 0.4490; Precision: 0.4458; Recall: 0.9910; ROC AUC: 0.5036
+[2024-05-21 16:51:00,210 INFO] Epoch:1, Snapshot:75; F1: 0.6291; Accuracy: 0.4600; Precision: 0.4603; Recall: 0.9935; ROC AUC: 0.4986
+[2024-05-21 16:51:00,991 INFO] Epoch:1, Snapshot:76; F1: 0.6481; Accuracy: 0.4810; Precision: 0.4823; Recall: 0.9876; ROC AUC: 0.4967
+[2024-05-21 16:51:01,898 INFO] Epoch:1, Snapshot:77; F1: 0.6662; Accuracy: 0.5020; Precision: 0.5030; Recall: 0.9861; ROC AUC: 0.4981
+[2024-05-21 16:51:02,826 INFO] Epoch:1, Snapshot:78; F1: 0.7013; Accuracy: 0.5400; Precision: 0.5422; Recall: 0.9926; ROC AUC: 0.4963
+[2024-05-21 16:51:03,711 INFO] Epoch:1, Snapshot:79; F1: 0.6834; Accuracy: 0.5200; Precision: 0.5222; Recall: 0.9885; ROC AUC: 0.4964
+[2024-05-21 16:51:04,571 INFO] Epoch:1, Snapshot:80; F1: 0.6653; Accuracy: 0.5010; Precision: 0.5005; Recall: 0.9920; ROC AUC: 0.5010
+[2024-05-21 16:51:05,587 INFO] Epoch:1, Snapshot:81; F1: 0.6813; Accuracy: 0.5210; Precision: 0.5198; Recall: 0.9884; ROC AUC: 0.5035
+[2024-05-21 16:51:06,399 INFO] Epoch:1, Snapshot:82; F1: 0.6323; Accuracy: 0.4650; Precision: 0.4656; Recall: 0.9850; ROC AUC: 0.4972
+[2024-05-21 16:51:07,415 INFO] Epoch:1, Snapshot:83; F1: 0.6869; Accuracy: 0.5260; Precision: 0.5258; Recall: 0.9905; ROC AUC: 0.5016
+[2024-05-21 16:51:08,277 INFO] Epoch:1, Snapshot:84; F1: 0.6799; Accuracy: 0.5170; Precision: 0.5177; Recall: 0.9903; ROC AUC: 0.4993
+[2024-05-21 16:51:09,150 INFO] Epoch:1, Snapshot:85; F1: 0.6895; Accuracy: 0.5280; Precision: 0.5272; Recall: 0.9962; ROC AUC: 0.5023
+[2024-05-21 16:51:10,042 INFO] Epoch:1, Snapshot:86; F1: 0.6698; Accuracy: 0.5050; Precision: 0.5060; Recall: 0.9901; ROC AUC: 0.4981
+[2024-05-21 16:51:10,917 INFO] Epoch:1, Snapshot:87; F1: 0.6522; Accuracy: 0.4870; Precision: 0.4854; Recall: 0.9938; ROC AUC: 0.5027
+[2024-05-21 16:51:11,792 INFO] Epoch:1, Snapshot:88; F1: 0.6608; Accuracy: 0.4980; Precision: 0.4949; Recall: 0.9939; ROC AUC: 0.5058
+[2024-05-21 16:51:12,808 INFO] Epoch:1, Snapshot:89; F1: 0.7022; Accuracy: 0.5420; Precision: 0.5427; Recall: 0.9945; ROC AUC: 0.4994
+[2024-05-21 16:51:13,589 INFO] Epoch:1, Snapshot:90; F1: 0.6449; Accuracy: 0.4770; Precision: 0.4779; Recall: 0.9916; ROC AUC: 0.4977
+[2024-05-21 16:51:14,512 INFO] Epoch:1, Snapshot:91; F1: 0.6985; Accuracy: 0.5390; Precision: 0.5405; Recall: 0.9871; ROC AUC: 0.4990
+[2024-05-21 16:51:15,372 INFO] Epoch:1, Snapshot:92; F1: 0.6495; Accuracy: 0.4820; Precision: 0.4819; Recall: 0.9959; ROC AUC: 0.4999
+[2024-05-21 16:51:16,201 INFO] Epoch:1, Snapshot:93; F1: 0.6684; Accuracy: 0.5040; Precision: 0.5030; Recall: 0.9960; ROC AUC: 0.5020
+[2024-05-21 16:51:16,951 INFO] Epoch:1, Snapshot:94; F1: 0.6495; Accuracy: 0.4830; Precision: 0.4848; Recall: 0.9836; ROC AUC: 0.4957
+[2024-05-21 16:51:17,827 INFO] Epoch:1, Snapshot:95; F1: 0.6856; Accuracy: 0.5240; Precision: 0.5248; Recall: 0.9886; ROC AUC: 0.4995
+[2024-05-21 16:51:18,733 INFO] Epoch:1, Snapshot:96; F1: 0.6608; Accuracy: 0.4950; Precision: 0.4965; Recall: 0.9880; ROC AUC: 0.4970
+[2024-05-21 16:51:19,656 INFO] Epoch:1, Snapshot:97; F1: 0.6912; Accuracy: 0.5300; Precision: 0.5302; Recall: 0.9925; ROC AUC: 0.5005
+[2024-05-21 16:51:20,406 INFO] Epoch:1, Snapshot:98; F1: 0.6751; Accuracy: 0.5120; Precision: 0.5126; Recall: 0.9883; ROC AUC: 0.4993
+[2024-05-21 16:51:21,234 INFO] Epoch:1, Snapshot:99; F1: 0.6531; Accuracy: 0.4870; Precision: 0.4879; Recall: 0.9877; ROC AUC: 0.4978
+[2024-05-21 16:51:22,313 INFO] Epoch:1, Snapshot:100; F1: 0.6791; Accuracy: 0.5180; Precision: 0.5162; Recall: 0.9922; ROC AUC: 0.5043
+[2024-05-21 16:51:23,172 INFO] Epoch:1, Snapshot:101; F1: 0.6393; Accuracy: 0.4720; Precision: 0.4723; Recall: 0.9894; ROC AUC: 0.4985
+[2024-05-21 16:51:24,047 INFO] Epoch:1, Snapshot:102; F1: 0.6581; Accuracy: 0.4930; Precision: 0.4929; Recall: 0.9899; ROC AUC: 0.4999
+[2024-05-21 16:51:24,891 INFO] Epoch:1, Snapshot:103; F1: 0.6540; Accuracy: 0.4890; Precision: 0.4889; Recall: 0.9877; ROC AUC: 0.4997
+[2024-05-21 16:51:25,720 INFO] Epoch:1, Snapshot:104; F1: 0.6485; Accuracy: 0.4830; Precision: 0.4823; Recall: 0.9896; ROC AUC: 0.5006
+[2024-05-21 16:51:26,610 INFO] Epoch:1, Snapshot:105; F1: 0.6094; Accuracy: 0.4410; Precision: 0.4413; Recall: 0.9842; ROC AUC: 0.4966
+[2024-05-21 16:51:27,564 INFO] Epoch:1, Snapshot:106; F1: 0.5990; Accuracy: 0.4350; Precision: 0.4306; Recall: 0.9837; ROC AUC: 0.5032
+[2024-05-21 16:51:28,439 INFO] Epoch:1, Snapshot:107; F1: 0.6490; Accuracy: 0.4830; Precision: 0.4819; Recall: 0.9938; ROC AUC: 0.5017
+[2024-05-21 16:51:29,408 INFO] Epoch:1, Snapshot:108; F1: 0.6778; Accuracy: 0.5160; Precision: 0.5136; Recall: 0.9961; ROC AUC: 0.5052
+[2024-05-21 16:51:30,330 INFO] Epoch:1, Snapshot:109; F1: 0.6563; Accuracy: 0.4910; Precision: 0.4924; Recall: 0.9838; ROC AUC: 0.4968
+[2024-05-21 16:51:31,174 INFO] Epoch:1, Snapshot:110; F1: 0.6644; Accuracy: 0.5010; Precision: 0.5005; Recall: 0.9880; ROC AUC: 0.5010
+[2024-05-21 16:51:31,987 INFO] Epoch:1, Snapshot:111; F1: 0.6388; Accuracy: 0.4730; Precision: 0.4721; Recall: 0.9873; ROC AUC: 0.5003
+[2024-05-21 16:51:33,034 INFO] Epoch:1, Snapshot:112; F1: 0.6671; Accuracy: 0.5050; Precision: 0.5046; Recall: 0.9841; ROC AUC: 0.5011
+[2024-05-21 16:51:33,925 INFO] Epoch:1, Snapshot:113; F1: 0.6509; Accuracy: 0.4830; Precision: 0.4854; Recall: 0.9877; ROC AUC: 0.4948
+[2024-05-21 16:51:35,035 INFO] Epoch:1, Snapshot:114; F1: 0.6869; Accuracy: 0.5260; Precision: 0.5268; Recall: 0.9867; ROC AUC: 0.4997
+[2024-05-21 16:51:36,066 INFO] Epoch:1, Snapshot:115; F1: 0.6394; Accuracy: 0.4710; Precision: 0.4728; Recall: 0.9874; ROC AUC: 0.4956
+[2024-05-21 16:51:37,066 INFO] Epoch:1, Snapshot:116; F1: 0.6577; Accuracy: 0.4930; Precision: 0.4929; Recall: 0.9878; ROC AUC: 0.4998
+[2024-05-21 16:51:38,098 INFO] Epoch:1, Snapshot:117; F1: 0.6443; Accuracy: 0.4800; Precision: 0.4777; Recall: 0.9895; ROC AUC: 0.5033
+[2024-05-21 16:51:39,066 INFO] Epoch:1, Snapshot:118; F1: 0.6856; Accuracy: 0.5230; Precision: 0.5226; Recall: 0.9962; ROC AUC: 0.5012
+[2024-05-21 16:51:40,067 INFO] Epoch:1, Snapshot:119; F1: 0.6595; Accuracy: 0.4950; Precision: 0.4924; Recall: 0.9980; ROC AUC: 0.5049
+[2024-05-21 16:51:41,068 INFO] Epoch:1, Snapshot:120; F1: 0.6508; Accuracy: 0.4850; Precision: 0.4844; Recall: 0.9917; ROC AUC: 0.5007
+[2024-05-21 16:51:42,006 INFO] Epoch:1, Snapshot:121; F1: 0.6640; Accuracy: 0.5010; Precision: 0.4990; Recall: 0.9920; ROC AUC: 0.5039
+[2024-05-21 16:51:42,865 INFO] Epoch:1, Snapshot:122; F1: 0.6933; Accuracy: 0.5320; Precision: 0.5354; Recall: 0.9833; ROC AUC: 0.4949
+[2024-05-21 16:51:43,851 INFO] Epoch:1, Snapshot:123; F1: 0.6513; Accuracy: 0.4860; Precision: 0.4863; Recall: 0.9856; ROC AUC: 0.4987
+[2024-05-21 16:51:43,866 INFO] Epoch:1, Snapshot: 33; Loss: 0.7170
+[2024-05-21 16:51:50,807 INFO] Epoch:1, Snapshot:37; F1: 0.7131; Accuracy: 0.5630; Precision: 0.5698; Recall: 0.9526; ROC AUC: 0.4996
+[2024-05-21 16:51:51,620 INFO] Epoch:1, Snapshot:38; F1: 0.6792; Accuracy: 0.5210; Precision: 0.5326; Recall: 0.9372; ROC AUC: 0.4838
+[2024-05-21 16:51:52,401 INFO] Epoch:1, Snapshot:39; F1: 0.6349; Accuracy: 0.4860; Precision: 0.4776; Recall: 0.9470; ROC AUC: 0.5104
+[2024-05-21 16:51:53,182 INFO] Epoch:1, Snapshot:40; F1: 0.6703; Accuracy: 0.5120; Precision: 0.5172; Recall: 0.9520; ROC AUC: 0.4927
+[2024-05-21 16:51:53,948 INFO] Epoch:1, Snapshot:41; F1: 0.6262; Accuracy: 0.4700; Precision: 0.4703; Recall: 0.9367; ROC AUC: 0.4931
+[2024-05-21 16:51:54,807 INFO] Epoch:1, Snapshot:42; F1: 0.6281; Accuracy: 0.4660; Precision: 0.4732; Recall: 0.9337; ROC AUC: 0.4814
+[2024-05-21 16:51:55,620 INFO] Epoch:1, Snapshot:43; F1: 0.6163; Accuracy: 0.4570; Precision: 0.4565; Recall: 0.9478; ROC AUC: 0.4934
+[2024-05-21 16:51:56,464 INFO] Epoch:1, Snapshot:44; F1: 0.6904; Accuracy: 0.5390; Precision: 0.5422; Recall: 0.9501; ROC AUC: 0.5023
+[2024-05-21 16:51:57,340 INFO] Epoch:1, Snapshot:45; F1: 0.6926; Accuracy: 0.5410; Precision: 0.5414; Recall: 0.9610; ROC AUC: 0.5065
+[2024-05-21 16:51:58,214 INFO] Epoch:1, Snapshot:46; F1: 0.6579; Accuracy: 0.5030; Precision: 0.5032; Recall: 0.9503; ROC AUC: 0.5003
+[2024-05-21 16:51:58,996 INFO] Epoch:1, Snapshot:47; F1: 0.6336; Accuracy: 0.4760; Precision: 0.4724; Recall: 0.9618; ROC AUC: 0.5026
+[2024-05-21 16:51:59,949 INFO] Epoch:1, Snapshot:48; F1: 0.6362; Accuracy: 0.4830; Precision: 0.4763; Recall: 0.9576; ROC AUC: 0.5082
+[2024-05-21 16:52:00,825 INFO] Epoch:1, Snapshot:49; F1: 0.6603; Accuracy: 0.5050; Precision: 0.5079; Recall: 0.9431; ROC AUC: 0.4961
+[2024-05-21 16:52:01,653 INFO] Epoch:1, Snapshot:50; F1: 0.6192; Accuracy: 0.4600; Precision: 0.4611; Recall: 0.9421; ROC AUC: 0.4907
+[2024-05-21 16:52:02,497 INFO] Epoch:1, Snapshot:51; F1: 0.6436; Accuracy: 0.4860; Precision: 0.4869; Recall: 0.9489; ROC AUC: 0.4960
+[2024-05-21 16:52:03,325 INFO] Epoch:1, Snapshot:52; F1: 0.6703; Accuracy: 0.5130; Precision: 0.5151; Recall: 0.9593; ROC AUC: 0.4982
+[2024-05-21 16:52:04,279 INFO] Epoch:1, Snapshot:53; F1: 0.6653; Accuracy: 0.5070; Precision: 0.5126; Recall: 0.9478; ROC AUC: 0.4915
+[2024-05-21 16:52:05,108 INFO] Epoch:1, Snapshot:54; F1: 0.6399; Accuracy: 0.4880; Precision: 0.4789; Recall: 0.9640; ROC AUC: 0.5132
+[2024-05-21 16:52:05,936 INFO] Epoch:1, Snapshot:55; F1: 0.6829; Accuracy: 0.5300; Precision: 0.5332; Recall: 0.9493; ROC AUC: 0.5004
+[2024-05-21 16:52:06,765 INFO] Epoch:1, Snapshot:56; F1: 0.6658; Accuracy: 0.5090; Precision: 0.5120; Recall: 0.9514; ROC AUC: 0.4963
+[2024-05-21 16:52:07,530 INFO] Epoch:1, Snapshot:57; F1: 0.6644; Accuracy: 0.5080; Precision: 0.5105; Recall: 0.9512; ROC AUC: 0.4971
+[2024-05-21 16:52:08,343 INFO] Epoch:1, Snapshot:58; F1: 0.6454; Accuracy: 0.4880; Precision: 0.4921; Recall: 0.9376; ROC AUC: 0.4907
+[2024-05-21 16:52:09,281 INFO] Epoch:1, Snapshot:59; F1: 0.6748; Accuracy: 0.5210; Precision: 0.5304; Recall: 0.9272; ROC AUC: 0.4895
+[2024-05-21 16:52:10,125 INFO] Epoch:1, Snapshot:60; F1: 0.6621; Accuracy: 0.5050; Precision: 0.5068; Recall: 0.9547; ROC AUC: 0.4977
+[2024-05-21 16:52:11,141 INFO] Epoch:1, Snapshot:61; F1: 0.6365; Accuracy: 0.4780; Precision: 0.4790; Recall: 0.9481; ROC AUC: 0.4943
+[2024-05-21 16:52:12,142 INFO] Epoch:1, Snapshot:62; F1: 0.6370; Accuracy: 0.4780; Precision: 0.4786; Recall: 0.9522; ROC AUC: 0.4954
+[2024-05-21 16:52:13,158 INFO] Epoch:1, Snapshot:63; F1: 0.6639; Accuracy: 0.5070; Precision: 0.5057; Recall: 0.9663; ROC AUC: 0.5033
+[2024-05-21 16:52:14,095 INFO] Epoch:1, Snapshot:64; F1: 0.6330; Accuracy: 0.4770; Precision: 0.4723; Recall: 0.9596; ROC AUC: 0.5043
+[2024-05-21 16:52:14,955 INFO] Epoch:1, Snapshot:65; F1: 0.6320; Accuracy: 0.4690; Precision: 0.4682; Recall: 0.9723; ROC AUC: 0.4984
+[2024-05-21 16:52:15,972 INFO] Epoch:1, Snapshot:66; F1: 0.7060; Accuracy: 0.5570; Precision: 0.5618; Recall: 0.9500; ROC AUC: 0.5034
+[2024-05-21 16:52:16,816 INFO] Epoch:1, Snapshot:67; F1: 0.6561; Accuracy: 0.5010; Precision: 0.5005; Recall: 0.9520; ROC AUC: 0.5010
+[2024-05-21 16:52:17,598 INFO] Epoch:1, Snapshot:68; F1: 0.6444; Accuracy: 0.4900; Precision: 0.4853; Recall: 0.9585; ROC AUC: 0.5063
+[2024-05-21 16:52:18,443 INFO] Epoch:1, Snapshot:69; F1: 0.6435; Accuracy: 0.4870; Precision: 0.4879; Recall: 0.9449; ROC AUC: 0.4960
+[2024-05-21 16:52:19,365 INFO] Epoch:1, Snapshot:70; F1: 0.6815; Accuracy: 0.5270; Precision: 0.5271; Recall: 0.9638; ROC AUC: 0.5040
+[2024-05-21 16:52:20,209 INFO] Epoch:1, Snapshot:71; F1: 0.6506; Accuracy: 0.4940; Precision: 0.4927; Recall: 0.9573; ROC AUC: 0.5013
+[2024-05-21 16:52:21,084 INFO] Epoch:1, Snapshot:72; F1: 0.6261; Accuracy: 0.4710; Precision: 0.4688; Recall: 0.9426; ROC AUC: 0.4977
+[2024-05-21 16:52:21,771 INFO] Epoch:1, Snapshot:73; F1: 0.5877; Accuracy: 0.4290; Precision: 0.4257; Recall: 0.9487; ROC AUC: 0.4936
+[2024-05-21 16:52:22,553 INFO] Epoch:1, Snapshot:74; F1: 0.6070; Accuracy: 0.4510; Precision: 0.4449; Recall: 0.9550; ROC AUC: 0.5018
+[2024-05-21 16:52:23,381 INFO] Epoch:1, Snapshot:75; F1: 0.6272; Accuracy: 0.4710; Precision: 0.4645; Recall: 0.9653; ROC AUC: 0.5068
+[2024-05-21 16:52:24,163 INFO] Epoch:1, Snapshot:76; F1: 0.6395; Accuracy: 0.4870; Precision: 0.4846; Recall: 0.9401; ROC AUC: 0.5010
+[2024-05-21 16:52:25,116 INFO] Epoch:1, Snapshot:77; F1: 0.6580; Accuracy: 0.5020; Precision: 0.5032; Recall: 0.9504; ROC AUC: 0.4984
+[2024-05-21 16:52:26,039 INFO] Epoch:1, Snapshot:78; F1: 0.6925; Accuracy: 0.5400; Precision: 0.5441; Recall: 0.9522; ROC AUC: 0.5002
+[2024-05-21 16:52:26,898 INFO] Epoch:1, Snapshot:79; F1: 0.6842; Accuracy: 0.5320; Precision: 0.5292; Recall: 0.9676; ROC AUC: 0.5100
+[2024-05-21 16:52:27,727 INFO] Epoch:1, Snapshot:80; F1: 0.6570; Accuracy: 0.5010; Precision: 0.5005; Recall: 0.9560; ROC AUC: 0.5010
+[2024-05-21 16:52:28,664 INFO] Epoch:1, Snapshot:81; F1: 0.6721; Accuracy: 0.5210; Precision: 0.5207; Recall: 0.9479; ROC AUC: 0.5051
+[2024-05-21 16:52:29,461 INFO] Epoch:1, Snapshot:82; F1: 0.6320; Accuracy: 0.4760; Precision: 0.4702; Recall: 0.9636; ROC AUC: 0.5062
+[2024-05-21 16:52:30,493 INFO] Epoch:1, Snapshot:83; F1: 0.6725; Accuracy: 0.5160; Precision: 0.5215; Recall: 0.9467; ROC AUC: 0.4933
+[2024-05-21 16:52:31,337 INFO] Epoch:1, Snapshot:84; F1: 0.6780; Accuracy: 0.5260; Precision: 0.5231; Recall: 0.9633; ROC AUC: 0.5097
+[2024-05-21 16:52:32,165 INFO] Epoch:1, Snapshot:85; F1: 0.6757; Accuracy: 0.5190; Precision: 0.5235; Recall: 0.9525; ROC AUC: 0.4952
+[2024-05-21 16:52:33,040 INFO] Epoch:1, Snapshot:86; F1: 0.6617; Accuracy: 0.5050; Precision: 0.5063; Recall: 0.9546; ROC AUC: 0.4986
+[2024-05-21 16:52:33,915 INFO] Epoch:1, Snapshot:87; F1: 0.6406; Accuracy: 0.4850; Precision: 0.4837; Recall: 0.9483; ROC AUC: 0.4994
+[2024-05-21 16:52:34,791 INFO] Epoch:1, Snapshot:88; F1: 0.6411; Accuracy: 0.4850; Precision: 0.4878; Recall: 0.9350; ROC AUC: 0.4921
+[2024-05-21 16:52:35,838 INFO] Epoch:1, Snapshot:89; F1: 0.6973; Accuracy: 0.5460; Precision: 0.5465; Recall: 0.9632; ROC AUC: 0.5067
+[2024-05-21 16:52:36,619 INFO] Epoch:1, Snapshot:90; F1: 0.6355; Accuracy: 0.4770; Precision: 0.4770; Recall: 0.9520; ROC AUC: 0.4961
+[2024-05-21 16:52:37,526 INFO] Epoch:1, Snapshot:91; F1: 0.6906; Accuracy: 0.5430; Precision: 0.5449; Recall: 0.9427; ROC AUC: 0.5073
+[2024-05-21 16:52:38,370 INFO] Epoch:1, Snapshot:92; F1: 0.6463; Accuracy: 0.4900; Precision: 0.4854; Recall: 0.9668; ROC AUC: 0.5066
+[2024-05-21 16:52:39,167 INFO] Epoch:1, Snapshot:93; F1: 0.6612; Accuracy: 0.5050; Precision: 0.5036; Recall: 0.9622; ROC AUC: 0.5032
+[2024-05-21 16:52:39,917 INFO] Epoch:1, Snapshot:94; F1: 0.6402; Accuracy: 0.4840; Precision: 0.4847; Recall: 0.9425; ROC AUC: 0.4956
+[2024-05-21 16:52:40,793 INFO] Epoch:1, Snapshot:95; F1: 0.6735; Accuracy: 0.5200; Precision: 0.5238; Recall: 0.9429; ROC AUC: 0.4977
+[2024-05-21 16:52:41,684 INFO] Epoch:1, Snapshot:96; F1: 0.6519; Accuracy: 0.4960; Precision: 0.4968; Recall: 0.9478; ROC AUC: 0.4978
+[2024-05-21 16:52:42,621 INFO] Epoch:1, Snapshot:97; F1: 0.6816; Accuracy: 0.5310; Precision: 0.5323; Recall: 0.9472; ROC AUC: 0.5044
+[2024-05-21 16:52:43,387 INFO] Epoch:1, Snapshot:98; F1: 0.6766; Accuracy: 0.5240; Precision: 0.5193; Recall: 0.9708; ROC AUC: 0.5121
+[2024-05-21 16:52:44,247 INFO] Epoch:1, Snapshot:99; F1: 0.6443; Accuracy: 0.4910; Precision: 0.4894; Recall: 0.9427; ROC AUC: 0.5007
+[2024-05-21 16:52:45,357 INFO] Epoch:1, Snapshot:100; F1: 0.6562; Accuracy: 0.4970; Precision: 0.5058; Recall: 0.9339; ROC AUC: 0.4844
+[2024-05-21 16:52:46,200 INFO] Epoch:1, Snapshot:101; F1: 0.6194; Accuracy: 0.4580; Precision: 0.4637; Recall: 0.9323; ROC AUC: 0.4823
+[2024-05-21 16:52:47,044 INFO] Epoch:1, Snapshot:102; F1: 0.6478; Accuracy: 0.4900; Precision: 0.4911; Recall: 0.9513; ROC AUC: 0.4964
+[2024-05-21 16:52:47,889 INFO] Epoch:1, Snapshot:103; F1: 0.6392; Accuracy: 0.4830; Precision: 0.4852; Recall: 0.9366; ROC AUC: 0.4928
+[2024-05-21 16:52:48,702 INFO] Epoch:1, Snapshot:104; F1: 0.6383; Accuracy: 0.4820; Precision: 0.4811; Recall: 0.9481; ROC AUC: 0.4982
+[2024-05-21 16:52:49,640 INFO] Epoch:1, Snapshot:105; F1: 0.6113; Accuracy: 0.4570; Precision: 0.4476; Recall: 0.9639; ROC AUC: 0.5089
+[2024-05-21 16:52:50,578 INFO] Epoch:1, Snapshot:106; F1: 0.5861; Accuracy: 0.4280; Precision: 0.4250; Recall: 0.9441; ROC AUC: 0.4922
+[2024-05-21 16:52:51,453 INFO] Epoch:1, Snapshot:107; F1: 0.6313; Accuracy: 0.4720; Precision: 0.4753; Recall: 0.9397; ROC AUC: 0.4891
+[2024-05-21 16:52:52,437 INFO] Epoch:1, Snapshot:108; F1: 0.6699; Accuracy: 0.5180; Precision: 0.5153; Recall: 0.9569; ROC AUC: 0.5081
+[2024-05-21 16:52:53,359 INFO] Epoch:1, Snapshot:109; F1: 0.6510; Accuracy: 0.4950; Precision: 0.4942; Recall: 0.9534; ROC AUC: 0.5004
+[2024-05-21 16:52:54,203 INFO] Epoch:1, Snapshot:110; F1: 0.6552; Accuracy: 0.4990; Precision: 0.4995; Recall: 0.9520; ROC AUC: 0.4990
+[2024-05-21 16:52:55,047 INFO] Epoch:1, Snapshot:111; F1: 0.6338; Accuracy: 0.4800; Precision: 0.4747; Recall: 0.9534; ROC AUC: 0.5051
+[2024-05-21 16:52:56,064 INFO] Epoch:1, Snapshot:112; F1: 0.6584; Accuracy: 0.5040; Precision: 0.5042; Recall: 0.9484; ROC AUC: 0.5004
+[2024-05-21 16:52:56,954 INFO] Epoch:1, Snapshot:113; F1: 0.6393; Accuracy: 0.4820; Precision: 0.4842; Recall: 0.9406; ROC AUC: 0.4927
+[2024-05-21 16:52:58,064 INFO] Epoch:1, Snapshot:114; F1: 0.6828; Accuracy: 0.5280; Precision: 0.5286; Recall: 0.9639; ROC AUC: 0.5031
+[2024-05-21 16:52:59,111 INFO] Epoch:1, Snapshot:115; F1: 0.6240; Accuracy: 0.4600; Precision: 0.4662; Recall: 0.9432; ROC AUC: 0.4830
+[2024-05-21 16:53:00,111 INFO] Epoch:1, Snapshot:116; F1: 0.6551; Accuracy: 0.5010; Precision: 0.4969; Recall: 0.9615; ROC AUC: 0.5074
+[2024-05-21 16:53:01,143 INFO] Epoch:1, Snapshot:117; F1: 0.6381; Accuracy: 0.4840; Precision: 0.4789; Recall: 0.9559; ROC AUC: 0.5056
+[2024-05-21 16:53:02,111 INFO] Epoch:1, Snapshot:118; F1: 0.6767; Accuracy: 0.5270; Precision: 0.5260; Recall: 0.9483; ROC AUC: 0.5076
+[2024-05-21 16:53:03,081 INFO] Epoch:1, Snapshot:119; F1: 0.6492; Accuracy: 0.4910; Precision: 0.4901; Recall: 0.9612; ROC AUC: 0.5002
+[2024-05-21 16:53:04,081 INFO] Epoch:1, Snapshot:120; F1: 0.6462; Accuracy: 0.4940; Precision: 0.4884; Recall: 0.9545; ROC AUC: 0.5083
+[2024-05-21 16:53:05,019 INFO] Epoch:1, Snapshot:121; F1: 0.6561; Accuracy: 0.4990; Precision: 0.4979; Recall: 0.9618; ROC AUC: 0.5018
+[2024-05-21 16:53:05,879 INFO] Epoch:1, Snapshot:122; F1: 0.6899; Accuracy: 0.5370; Precision: 0.5393; Recall: 0.9572; ROC AUC: 0.5024
+[2024-05-21 16:53:06,942 INFO] Epoch:1, Snapshot:123; F1: 0.6269; Accuracy: 0.4680; Precision: 0.4760; Recall: 0.9179; ROC AUC: 0.4794
+[2024-05-21 16:53:06,942 INFO] Epoch:1, Snapshot: 34; Loss: 0.7112
+[2024-05-21 16:53:13,834 INFO] Epoch:1, Snapshot:37; F1: 0.7239; Accuracy: 0.5690; Precision: 0.5701; Recall: 0.9912; ROC AUC: 0.5003
+[2024-05-21 16:53:14,662 INFO] Epoch:1, Snapshot:38; F1: 0.7014; Accuracy: 0.5420; Precision: 0.5418; Recall: 0.9945; ROC AUC: 0.5016
+[2024-05-21 16:53:15,397 INFO] Epoch:1, Snapshot:39; F1: 0.6403; Accuracy: 0.4730; Precision: 0.4723; Recall: 0.9936; ROC AUC: 0.5006
+[2024-05-21 16:53:16,209 INFO] Epoch:1, Snapshot:40; F1: 0.6826; Accuracy: 0.5210; Precision: 0.5213; Recall: 0.9885; ROC AUC: 0.5005
+[2024-05-21 16:53:16,960 INFO] Epoch:1, Snapshot:41; F1: 0.6402; Accuracy: 0.4750; Precision: 0.4741; Recall: 0.9852; ROC AUC: 0.5002
+[2024-05-21 16:53:17,788 INFO] Epoch:1, Snapshot:42; F1: 0.6535; Accuracy: 0.4900; Precision: 0.4863; Recall: 0.9959; ROC AUC: 0.5066
+[2024-05-21 16:53:18,616 INFO] Epoch:1, Snapshot:43; F1: 0.6295; Accuracy: 0.4620; Precision: 0.4607; Recall: 0.9935; ROC AUC: 0.5014
+[2024-05-21 16:53:19,429 INFO] Epoch:1, Snapshot:44; F1: 0.7032; Accuracy: 0.5450; Precision: 0.5433; Recall: 0.9963; ROC AUC: 0.5047
+[2024-05-21 16:53:20,273 INFO] Epoch:1, Snapshot:45; F1: 0.7025; Accuracy: 0.5460; Precision: 0.5425; Recall: 0.9963; ROC AUC: 0.5090
+[2024-05-21 16:53:21,195 INFO] Epoch:1, Snapshot:46; F1: 0.6626; Accuracy: 0.4970; Precision: 0.5000; Recall: 0.9821; ROC AUC: 0.4941
+[2024-05-21 16:53:21,930 INFO] Epoch:1, Snapshot:47; F1: 0.6362; Accuracy: 0.4670; Precision: 0.4688; Recall: 0.9894; ROC AUC: 0.4956
+[2024-05-21 16:53:22,883 INFO] Epoch:1, Snapshot:48; F1: 0.6366; Accuracy: 0.4690; Precision: 0.4702; Recall: 0.9852; ROC AUC: 0.4964
+[2024-05-21 16:53:23,759 INFO] Epoch:1, Snapshot:49; F1: 0.6729; Accuracy: 0.5080; Precision: 0.5091; Recall: 0.9922; ROC AUC: 0.4981
+[2024-05-21 16:53:24,592 INFO] Epoch:1, Snapshot:50; F1: 0.6341; Accuracy: 0.4680; Precision: 0.4666; Recall: 0.9893; ROC AUC: 0.5012
+[2024-05-21 16:53:25,463 INFO] Epoch:1, Snapshot:51; F1: 0.6527; Accuracy: 0.4870; Precision: 0.4879; Recall: 0.9857; ROC AUC: 0.4977
+[2024-05-21 16:53:26,307 INFO] Epoch:1, Snapshot:52; F1: 0.6759; Accuracy: 0.5110; Precision: 0.5136; Recall: 0.9884; ROC AUC: 0.4952
+[2024-05-21 16:53:27,244 INFO] Epoch:1, Snapshot:53; F1: 0.6795; Accuracy: 0.5160; Precision: 0.5166; Recall: 0.9923; ROC AUC: 0.4992
+[2024-05-21 16:53:28,088 INFO] Epoch:1, Snapshot:54; F1: 0.6397; Accuracy: 0.4740; Precision: 0.4727; Recall: 0.9894; ROC AUC: 0.5013
+[2024-05-21 16:53:28,917 INFO] Epoch:1, Snapshot:55; F1: 0.6955; Accuracy: 0.5360; Precision: 0.5348; Recall: 0.9944; ROC AUC: 0.5036
+[2024-05-21 16:53:29,730 INFO] Epoch:1, Snapshot:56; F1: 0.6760; Accuracy: 0.5130; Precision: 0.5137; Recall: 0.9883; ROC AUC: 0.4993
+[2024-05-21 16:53:30,527 INFO] Epoch:1, Snapshot:57; F1: 0.6755; Accuracy: 0.5130; Precision: 0.5126; Recall: 0.9902; ROC AUC: 0.5013
+[2024-05-21 16:53:31,324 INFO] Epoch:1, Snapshot:58; F1: 0.6577; Accuracy: 0.4920; Precision: 0.4944; Recall: 0.9819; ROC AUC: 0.4949
+[2024-05-21 16:53:32,262 INFO] Epoch:1, Snapshot:59; F1: 0.6978; Accuracy: 0.5400; Precision: 0.5385; Recall: 0.9907; ROC AUC: 0.5050
+[2024-05-21 16:53:33,137 INFO] Epoch:1, Snapshot:60; F1: 0.6724; Accuracy: 0.5090; Precision: 0.5086; Recall: 0.9921; ROC AUC: 0.5011
+[2024-05-21 16:53:34,137 INFO] Epoch:1, Snapshot:61; F1: 0.6481; Accuracy: 0.4820; Precision: 0.4818; Recall: 0.9896; ROC AUC: 0.4996
+[2024-05-21 16:53:35,153 INFO] Epoch:1, Snapshot:62; F1: 0.6445; Accuracy: 0.4770; Precision: 0.4788; Recall: 0.9854; ROC AUC: 0.4956
+[2024-05-21 16:53:36,200 INFO] Epoch:1, Snapshot:63; F1: 0.6684; Accuracy: 0.5040; Precision: 0.5040; Recall: 0.9921; ROC AUC: 0.5001
+[2024-05-21 16:53:37,169 INFO] Epoch:1, Snapshot:64; F1: 0.6361; Accuracy: 0.4690; Precision: 0.4692; Recall: 0.9872; ROC AUC: 0.4983
+[2024-05-21 16:53:38,044 INFO] Epoch:1, Snapshot:65; F1: 0.6366; Accuracy: 0.4680; Precision: 0.4683; Recall: 0.9936; ROC AUC: 0.4987
+[2024-05-21 16:53:39,014 INFO] Epoch:1, Snapshot:66; F1: 0.7176; Accuracy: 0.5640; Precision: 0.5630; Recall: 0.9893; ROC AUC: 0.5060
+[2024-05-21 16:53:39,842 INFO] Epoch:1, Snapshot:67; F1: 0.6644; Accuracy: 0.5000; Precision: 0.5000; Recall: 0.9900; ROC AUC: 0.5000
+[2024-05-21 16:53:40,624 INFO] Epoch:1, Snapshot:68; F1: 0.6485; Accuracy: 0.4840; Precision: 0.4828; Recall: 0.9876; ROC AUC: 0.5015
+[2024-05-21 16:53:41,468 INFO] Epoch:1, Snapshot:69; F1: 0.6555; Accuracy: 0.4880; Precision: 0.4890; Recall: 0.9939; ROC AUC: 0.4979
+[2024-05-21 16:53:42,343 INFO] Epoch:1, Snapshot:70; F1: 0.6816; Accuracy: 0.5180; Precision: 0.5217; Recall: 0.9829; ROC AUC: 0.4935
+[2024-05-21 16:53:43,156 INFO] Epoch:1, Snapshot:71; F1: 0.6577; Accuracy: 0.4930; Precision: 0.4924; Recall: 0.9898; ROC AUC: 0.5008
+[2024-05-21 16:53:44,016 INFO] Epoch:1, Snapshot:72; F1: 0.6361; Accuracy: 0.4690; Precision: 0.4692; Recall: 0.9872; ROC AUC: 0.4983
+[2024-05-21 16:53:44,766 INFO] Epoch:1, Snapshot:73; F1: 0.6010; Accuracy: 0.4330; Precision: 0.4304; Recall: 0.9953; ROC AUC: 0.5029
+[2024-05-21 16:53:45,564 INFO] Epoch:1, Snapshot:74; F1: 0.6127; Accuracy: 0.4450; Precision: 0.4439; Recall: 0.9887; ROC AUC: 0.4998
+[2024-05-21 16:53:46,408 INFO] Epoch:1, Snapshot:75; F1: 0.6311; Accuracy: 0.4670; Precision: 0.4634; Recall: 0.9892; ROC AUC: 0.5048
+[2024-05-21 16:53:47,174 INFO] Epoch:1, Snapshot:76; F1: 0.6504; Accuracy: 0.4840; Precision: 0.4839; Recall: 0.9917; ROC AUC: 0.4997
+[2024-05-21 16:53:48,127 INFO] Epoch:1, Snapshot:77; F1: 0.6676; Accuracy: 0.5020; Precision: 0.5030; Recall: 0.9921; ROC AUC: 0.4980
+[2024-05-21 16:53:49,034 INFO] Epoch:1, Snapshot:78; F1: 0.7048; Accuracy: 0.5460; Precision: 0.5453; Recall: 0.9963; ROC AUC: 0.5025
+[2024-05-21 16:53:49,940 INFO] Epoch:1, Snapshot:79; F1: 0.6847; Accuracy: 0.5230; Precision: 0.5238; Recall: 0.9885; ROC AUC: 0.4995
+[2024-05-21 16:53:50,753 INFO] Epoch:1, Snapshot:80; F1: 0.6604; Accuracy: 0.4940; Precision: 0.4970; Recall: 0.9840; ROC AUC: 0.4940
+[2024-05-21 16:53:51,707 INFO] Epoch:1, Snapshot:81; F1: 0.6799; Accuracy: 0.5170; Precision: 0.5177; Recall: 0.9903; ROC AUC: 0.4993
+[2024-05-21 16:53:52,551 INFO] Epoch:1, Snapshot:82; F1: 0.6346; Accuracy: 0.4680; Precision: 0.4671; Recall: 0.9893; ROC AUC: 0.5003
+[2024-05-21 16:53:53,551 INFO] Epoch:1, Snapshot:83; F1: 0.6869; Accuracy: 0.5250; Precision: 0.5252; Recall: 0.9924; ROC AUC: 0.5004
+[2024-05-21 16:53:54,379 INFO] Epoch:1, Snapshot:84; F1: 0.6830; Accuracy: 0.5210; Precision: 0.5196; Recall: 0.9961; ROC AUC: 0.5033
+[2024-05-21 16:53:55,286 INFO] Epoch:1, Snapshot:85; F1: 0.6851; Accuracy: 0.5230; Precision: 0.5248; Recall: 0.9867; ROC AUC: 0.4976
+[2024-05-21 16:53:56,146 INFO] Epoch:1, Snapshot:86; F1: 0.6685; Accuracy: 0.5060; Precision: 0.5066; Recall: 0.9822; ROC AUC: 0.4992
+[2024-05-21 16:53:57,037 INFO] Epoch:1, Snapshot:87; F1: 0.6491; Accuracy: 0.4820; Precision: 0.4829; Recall: 0.9897; ROC AUC: 0.4977
+[2024-05-21 16:53:57,912 INFO] Epoch:1, Snapshot:88; F1: 0.6572; Accuracy: 0.4910; Precision: 0.4914; Recall: 0.9919; ROC AUC: 0.4989
+[2024-05-21 16:53:58,944 INFO] Epoch:1, Snapshot:89; F1: 0.7019; Accuracy: 0.5430; Precision: 0.5434; Recall: 0.9908; ROC AUC: 0.5009
+[2024-05-21 16:53:59,725 INFO] Epoch:1, Snapshot:90; F1: 0.6486; Accuracy: 0.4820; Precision: 0.4804; Recall: 0.9979; ROC AUC: 0.5028
+[2024-05-21 16:54:00,663 INFO] Epoch:1, Snapshot:91; F1: 0.6964; Accuracy: 0.5370; Precision: 0.5396; Recall: 0.9815; ROC AUC: 0.4973
+[2024-05-21 16:54:01,570 INFO] Epoch:1, Snapshot:92; F1: 0.6472; Accuracy: 0.4800; Precision: 0.4808; Recall: 0.9896; ROC AUC: 0.4977
+[2024-05-21 16:54:02,398 INFO] Epoch:1, Snapshot:93; F1: 0.6667; Accuracy: 0.5020; Precision: 0.5020; Recall: 0.9920; ROC AUC: 0.5000
+[2024-05-21 16:54:03,179 INFO] Epoch:1, Snapshot:94; F1: 0.6513; Accuracy: 0.4850; Precision: 0.4859; Recall: 0.9877; ROC AUC: 0.4977
+[2024-05-21 16:54:04,070 INFO] Epoch:1, Snapshot:95; F1: 0.6851; Accuracy: 0.5220; Precision: 0.5237; Recall: 0.9905; ROC AUC: 0.4973
+[2024-05-21 16:54:04,977 INFO] Epoch:1, Snapshot:96; F1: 0.6640; Accuracy: 0.5000; Precision: 0.4990; Recall: 0.9920; ROC AUC: 0.5020
+[2024-05-21 16:54:05,868 INFO] Epoch:1, Snapshot:97; F1: 0.6895; Accuracy: 0.5290; Precision: 0.5299; Recall: 0.9868; ROC AUC: 0.4998
+[2024-05-21 16:54:06,618 INFO] Epoch:1, Snapshot:98; F1: 0.6768; Accuracy: 0.5130; Precision: 0.5131; Recall: 0.9942; ROC AUC: 0.5002
+[2024-05-21 16:54:07,446 INFO] Epoch:1, Snapshot:99; F1: 0.6572; Accuracy: 0.4940; Precision: 0.4914; Recall: 0.9918; ROC AUC: 0.5047
+[2024-05-21 16:54:08,587 INFO] Epoch:1, Snapshot:100; F1: 0.6729; Accuracy: 0.5110; Precision: 0.5127; Recall: 0.9786; ROC AUC: 0.4975
+[2024-05-21 16:54:09,462 INFO] Epoch:1, Snapshot:101; F1: 0.6421; Accuracy: 0.4760; Precision: 0.4743; Recall: 0.9937; ROC AUC: 0.5025
+[2024-05-21 16:54:10,306 INFO] Epoch:1, Snapshot:102; F1: 0.6586; Accuracy: 0.4930; Precision: 0.4929; Recall: 0.9919; ROC AUC: 0.4999
+[2024-05-21 16:54:11,166 INFO] Epoch:1, Snapshot:103; F1: 0.6558; Accuracy: 0.4910; Precision: 0.4899; Recall: 0.9918; ROC AUC: 0.5018
+[2024-05-21 16:54:11,963 INFO] Epoch:1, Snapshot:104; F1: 0.6449; Accuracy: 0.4780; Precision: 0.4798; Recall: 0.9834; ROC AUC: 0.4956
+[2024-05-21 16:54:12,901 INFO] Epoch:1, Snapshot:105; F1: 0.6108; Accuracy: 0.4430; Precision: 0.4423; Recall: 0.9865; ROC AUC: 0.4986
+[2024-05-21 16:54:13,823 INFO] Epoch:1, Snapshot:106; F1: 0.5956; Accuracy: 0.4270; Precision: 0.4271; Recall: 0.9837; ROC AUC: 0.4962
+[2024-05-21 16:54:14,714 INFO] Epoch:1, Snapshot:107; F1: 0.6504; Accuracy: 0.4840; Precision: 0.4824; Recall: 0.9979; ROC AUC: 0.5028
+[2024-05-21 16:54:15,683 INFO] Epoch:1, Snapshot:108; F1: 0.6747; Accuracy: 0.5120; Precision: 0.5116; Recall: 0.9902; ROC AUC: 0.5012
+[2024-05-21 16:54:16,605 INFO] Epoch:1, Snapshot:109; F1: 0.6595; Accuracy: 0.4920; Precision: 0.4930; Recall: 0.9960; ROC AUC: 0.4980
+[2024-05-21 16:54:17,465 INFO] Epoch:1, Snapshot:110; F1: 0.6671; Accuracy: 0.5040; Precision: 0.5020; Recall: 0.9940; ROC AUC: 0.5040
+[2024-05-21 16:54:18,293 INFO] Epoch:1, Snapshot:111; F1: 0.6402; Accuracy: 0.4740; Precision: 0.4727; Recall: 0.9915; ROC AUC: 0.5014
+[2024-05-21 16:54:19,340 INFO] Epoch:1, Snapshot:112; F1: 0.6667; Accuracy: 0.5030; Precision: 0.5035; Recall: 0.9861; ROC AUC: 0.4991
+[2024-05-21 16:54:20,200 INFO] Epoch:1, Snapshot:113; F1: 0.6554; Accuracy: 0.4910; Precision: 0.4894; Recall: 0.9918; ROC AUC: 0.5027
+[2024-05-21 16:54:21,294 INFO] Epoch:1, Snapshot:114; F1: 0.6873; Accuracy: 0.5250; Precision: 0.5262; Recall: 0.9905; ROC AUC: 0.4984
+[2024-05-21 16:54:22,372 INFO] Epoch:1, Snapshot:115; F1: 0.6426; Accuracy: 0.4760; Precision: 0.4753; Recall: 0.9916; ROC AUC: 0.5006
+[2024-05-21 16:54:23,403 INFO] Epoch:1, Snapshot:116; F1: 0.6581; Accuracy: 0.4940; Precision: 0.4934; Recall: 0.9878; ROC AUC: 0.5008
+[2024-05-21 16:54:24,435 INFO] Epoch:1, Snapshot:117; F1: 0.6467; Accuracy: 0.4810; Precision: 0.4783; Recall: 0.9979; ROC AUC: 0.5047
+[2024-05-21 16:54:25,404 INFO] Epoch:1, Snapshot:118; F1: 0.6865; Accuracy: 0.5260; Precision: 0.5242; Recall: 0.9943; ROC AUC: 0.5044
+[2024-05-21 16:54:26,388 INFO] Epoch:1, Snapshot:119; F1: 0.6586; Accuracy: 0.4950; Precision: 0.4924; Recall: 0.9939; ROC AUC: 0.5048
+[2024-05-21 16:54:27,373 INFO] Epoch:1, Snapshot:120; F1: 0.6508; Accuracy: 0.4850; Precision: 0.4844; Recall: 0.9917; ROC AUC: 0.5007
+[2024-05-21 16:54:28,310 INFO] Epoch:1, Snapshot:121; F1: 0.6622; Accuracy: 0.4980; Precision: 0.4975; Recall: 0.9899; ROC AUC: 0.5009
+[2024-05-21 16:54:29,217 INFO] Epoch:1, Snapshot:122; F1: 0.6974; Accuracy: 0.5400; Precision: 0.5397; Recall: 0.9851; ROC AUC: 0.5034
+[2024-05-21 16:54:30,201 INFO] Epoch:1, Snapshot:123; F1: 0.6541; Accuracy: 0.4860; Precision: 0.4865; Recall: 0.9979; ROC AUC: 0.4990
+[2024-05-21 16:54:30,217 INFO] Epoch:1, Snapshot: 35; Loss: 0.7265
+[2024-05-21 16:54:37,578 INFO] Epoch:1, Snapshot:37; F1: 0.7265; Accuracy: 0.5730; Precision: 0.5721; Recall: 0.9947; ROC AUC: 0.5043
+[2024-05-21 16:54:38,453 INFO] Epoch:1, Snapshot:38; F1: 0.7019; Accuracy: 0.5430; Precision: 0.5423; Recall: 0.9945; ROC AUC: 0.5027
+[2024-05-21 16:54:39,187 INFO] Epoch:1, Snapshot:39; F1: 0.6425; Accuracy: 0.4770; Precision: 0.4743; Recall: 0.9958; ROC AUC: 0.5045
+[2024-05-21 16:54:39,969 INFO] Epoch:1, Snapshot:40; F1: 0.6799; Accuracy: 0.5160; Precision: 0.5187; Recall: 0.9866; ROC AUC: 0.4954
+[2024-05-21 16:54:40,719 INFO] Epoch:1, Snapshot:41; F1: 0.6356; Accuracy: 0.4680; Precision: 0.4706; Recall: 0.9789; ROC AUC: 0.4933
+[2024-05-21 16:54:41,547 INFO] Epoch:1, Snapshot:42; F1: 0.6522; Accuracy: 0.4870; Precision: 0.4849; Recall: 0.9959; ROC AUC: 0.5037
+[2024-05-21 16:54:42,329 INFO] Epoch:1, Snapshot:43; F1: 0.6295; Accuracy: 0.4620; Precision: 0.4607; Recall: 0.9935; ROC AUC: 0.5014
+[2024-05-21 16:54:43,157 INFO] Epoch:1, Snapshot:44; F1: 0.7002; Accuracy: 0.5410; Precision: 0.5414; Recall: 0.9908; ROC AUC: 0.5008
+[2024-05-21 16:54:44,017 INFO] Epoch:1, Snapshot:45; F1: 0.6999; Accuracy: 0.5420; Precision: 0.5405; Recall: 0.9926; ROC AUC: 0.5049
+[2024-05-21 16:54:44,908 INFO] Epoch:1, Snapshot:46; F1: 0.6689; Accuracy: 0.5070; Precision: 0.5051; Recall: 0.9901; ROC AUC: 0.5041
+[2024-05-21 16:54:45,645 INFO] Epoch:1, Snapshot:47; F1: 0.6383; Accuracy: 0.4730; Precision: 0.4716; Recall: 0.9873; ROC AUC: 0.5012
+[2024-05-21 16:54:46,581 INFO] Epoch:1, Snapshot:48; F1: 0.6403; Accuracy: 0.4720; Precision: 0.4719; Recall: 0.9958; ROC AUC: 0.4998
+[2024-05-21 16:54:47,456 INFO] Epoch:1, Snapshot:49; F1: 0.6764; Accuracy: 0.5140; Precision: 0.5121; Recall: 0.9961; ROC AUC: 0.5042
+[2024-05-21 16:54:48,331 INFO] Epoch:1, Snapshot:50; F1: 0.6327; Accuracy: 0.4670; Precision: 0.4660; Recall: 0.9850; ROC AUC: 0.5000
+[2024-05-21 16:54:49,159 INFO] Epoch:1, Snapshot:51; F1: 0.6568; Accuracy: 0.4920; Precision: 0.4904; Recall: 0.9939; ROC AUC: 0.5028
+[2024-05-21 16:54:49,987 INFO] Epoch:1, Snapshot:52; F1: 0.6777; Accuracy: 0.5150; Precision: 0.5157; Recall: 0.9884; ROC AUC: 0.4994
+[2024-05-21 16:54:50,878 INFO] Epoch:1, Snapshot:53; F1: 0.6803; Accuracy: 0.5170; Precision: 0.5171; Recall: 0.9942; ROC AUC: 0.5002
+[2024-05-21 16:54:51,675 INFO] Epoch:1, Snapshot:54; F1: 0.6402; Accuracy: 0.4750; Precision: 0.4732; Recall: 0.9894; ROC AUC: 0.5023
+[2024-05-21 16:54:52,567 INFO] Epoch:1, Snapshot:55; F1: 0.6959; Accuracy: 0.5360; Precision: 0.5347; Recall: 0.9962; ROC AUC: 0.5035
+[2024-05-21 16:54:53,426 INFO] Epoch:1, Snapshot:56; F1: 0.6800; Accuracy: 0.5190; Precision: 0.5167; Recall: 0.9942; ROC AUC: 0.5053
+[2024-05-21 16:54:54,208 INFO] Epoch:1, Snapshot:57; F1: 0.6773; Accuracy: 0.5150; Precision: 0.5136; Recall: 0.9941; ROC AUC: 0.5032
+[2024-05-21 16:54:55,052 INFO] Epoch:1, Snapshot:58; F1: 0.6586; Accuracy: 0.4940; Precision: 0.4954; Recall: 0.9819; ROC AUC: 0.4969
+[2024-05-21 16:54:55,975 INFO] Epoch:1, Snapshot:59; F1: 0.6964; Accuracy: 0.5370; Precision: 0.5369; Recall: 0.9907; ROC AUC: 0.5018
+[2024-05-21 16:54:56,819 INFO] Epoch:1, Snapshot:60; F1: 0.6724; Accuracy: 0.5090; Precision: 0.5086; Recall: 0.9921; ROC AUC: 0.5011
+[2024-05-21 16:54:57,803 INFO] Epoch:1, Snapshot:61; F1: 0.6476; Accuracy: 0.4820; Precision: 0.4818; Recall: 0.9876; ROC AUC: 0.4996
+[2024-05-21 16:54:58,803 INFO] Epoch:1, Snapshot:62; F1: 0.6467; Accuracy: 0.4810; Precision: 0.4808; Recall: 0.9875; ROC AUC: 0.4995
+[2024-05-21 16:54:59,836 INFO] Epoch:1, Snapshot:63; F1: 0.6698; Accuracy: 0.5070; Precision: 0.5056; Recall: 0.9921; ROC AUC: 0.5031
+[2024-05-21 16:55:00,773 INFO] Epoch:1, Snapshot:64; F1: 0.6405; Accuracy: 0.4770; Precision: 0.4731; Recall: 0.9915; ROC AUC: 0.5061
+[2024-05-21 16:55:01,648 INFO] Epoch:1, Snapshot:65; F1: 0.6387; Accuracy: 0.4740; Precision: 0.4711; Recall: 0.9915; ROC AUC: 0.5042
+[2024-05-21 16:55:02,649 INFO] Epoch:1, Snapshot:66; F1: 0.7158; Accuracy: 0.5600; Precision: 0.5607; Recall: 0.9893; ROC AUC: 0.5015
+[2024-05-21 16:55:03,477 INFO] Epoch:1, Snapshot:67; F1: 0.6653; Accuracy: 0.5010; Precision: 0.5005; Recall: 0.9920; ROC AUC: 0.5010
+[2024-05-21 16:55:04,274 INFO] Epoch:1, Snapshot:68; F1: 0.6486; Accuracy: 0.4810; Precision: 0.4814; Recall: 0.9938; ROC AUC: 0.4988
+[2024-05-21 16:55:05,118 INFO] Epoch:1, Snapshot:69; F1: 0.6590; Accuracy: 0.4950; Precision: 0.4924; Recall: 0.9959; ROC AUC: 0.5048
+[2024-05-21 16:55:05,994 INFO] Epoch:1, Snapshot:70; F1: 0.6896; Accuracy: 0.5300; Precision: 0.5278; Recall: 0.9943; ROC AUC: 0.5056
+[2024-05-21 16:55:06,839 INFO] Epoch:1, Snapshot:71; F1: 0.6567; Accuracy: 0.4930; Precision: 0.4924; Recall: 0.9858; ROC AUC: 0.5008
+[2024-05-21 16:55:07,698 INFO] Epoch:1, Snapshot:72; F1: 0.6361; Accuracy: 0.4690; Precision: 0.4692; Recall: 0.9872; ROC AUC: 0.4983
+[2024-05-21 16:55:08,417 INFO] Epoch:1, Snapshot:73; F1: 0.5972; Accuracy: 0.4280; Precision: 0.4279; Recall: 0.9883; ROC AUC: 0.4977
+[2024-05-21 16:55:09,198 INFO] Epoch:1, Snapshot:74; F1: 0.6094; Accuracy: 0.4410; Precision: 0.4417; Recall: 0.9820; ROC AUC: 0.4955
+[2024-05-21 16:55:10,043 INFO] Epoch:1, Snapshot:75; F1: 0.6279; Accuracy: 0.4620; Precision: 0.4609; Recall: 0.9848; ROC AUC: 0.4998
+[2024-05-21 16:55:10,808 INFO] Epoch:1, Snapshot:76; F1: 0.6472; Accuracy: 0.4800; Precision: 0.4818; Recall: 0.9855; ROC AUC: 0.4957
+[2024-05-21 16:55:11,731 INFO] Epoch:1, Snapshot:77; F1: 0.6716; Accuracy: 0.5090; Precision: 0.5066; Recall: 0.9960; ROC AUC: 0.5051
+[2024-05-21 16:55:12,621 INFO] Epoch:1, Snapshot:78; F1: 0.7023; Accuracy: 0.5440; Precision: 0.5445; Recall: 0.9890; ROC AUC: 0.5011
+[2024-05-21 16:55:13,497 INFO] Epoch:1, Snapshot:79; F1: 0.6847; Accuracy: 0.5220; Precision: 0.5232; Recall: 0.9905; ROC AUC: 0.4984
+[2024-05-21 16:55:14,325 INFO] Epoch:1, Snapshot:80; F1: 0.6644; Accuracy: 0.5010; Precision: 0.5005; Recall: 0.9880; ROC AUC: 0.5010
+[2024-05-21 16:55:15,278 INFO] Epoch:1, Snapshot:81; F1: 0.6786; Accuracy: 0.5150; Precision: 0.5166; Recall: 0.9884; ROC AUC: 0.4973
+[2024-05-21 16:55:16,091 INFO] Epoch:1, Snapshot:82; F1: 0.6332; Accuracy: 0.4660; Precision: 0.4661; Recall: 0.9872; ROC AUC: 0.4983
+[2024-05-21 16:55:17,060 INFO] Epoch:1, Snapshot:83; F1: 0.6869; Accuracy: 0.5260; Precision: 0.5258; Recall: 0.9905; ROC AUC: 0.5016
+[2024-05-21 16:55:17,888 INFO] Epoch:1, Snapshot:84; F1: 0.6799; Accuracy: 0.5170; Precision: 0.5177; Recall: 0.9903; ROC AUC: 0.4993
+[2024-05-21 16:55:18,732 INFO] Epoch:1, Snapshot:85; F1: 0.6900; Accuracy: 0.5300; Precision: 0.5283; Recall: 0.9943; ROC AUC: 0.5045
+[2024-05-21 16:55:19,607 INFO] Epoch:1, Snapshot:86; F1: 0.6724; Accuracy: 0.5090; Precision: 0.5081; Recall: 0.9941; ROC AUC: 0.5021
+[2024-05-21 16:55:20,545 INFO] Epoch:1, Snapshot:87; F1: 0.6526; Accuracy: 0.4890; Precision: 0.4863; Recall: 0.9917; ROC AUC: 0.5046
+[2024-05-21 16:55:21,405 INFO] Epoch:1, Snapshot:88; F1: 0.6550; Accuracy: 0.4890; Precision: 0.4904; Recall: 0.9858; ROC AUC: 0.4968
+[2024-05-21 16:55:22,421 INFO] Epoch:1, Snapshot:89; F1: 0.7018; Accuracy: 0.5420; Precision: 0.5428; Recall: 0.9926; ROC AUC: 0.4996
+[2024-05-21 16:55:23,218 INFO] Epoch:1, Snapshot:90; F1: 0.6454; Accuracy: 0.4780; Precision: 0.4783; Recall: 0.9916; ROC AUC: 0.4987
+[2024-05-21 16:55:24,140 INFO] Epoch:1, Snapshot:91; F1: 0.6959; Accuracy: 0.5350; Precision: 0.5385; Recall: 0.9834; ROC AUC: 0.4950
+[2024-05-21 16:55:25,000 INFO] Epoch:1, Snapshot:92; F1: 0.6499; Accuracy: 0.4850; Precision: 0.4833; Recall: 0.9917; ROC AUC: 0.5026
+[2024-05-21 16:55:25,828 INFO] Epoch:1, Snapshot:93; F1: 0.6671; Accuracy: 0.5020; Precision: 0.5020; Recall: 0.9940; ROC AUC: 0.5000
+[2024-05-21 16:55:26,579 INFO] Epoch:1, Snapshot:94; F1: 0.6490; Accuracy: 0.4830; Precision: 0.4848; Recall: 0.9815; ROC AUC: 0.4956
+[2024-05-21 16:55:27,470 INFO] Epoch:1, Snapshot:95; F1: 0.6847; Accuracy: 0.5220; Precision: 0.5237; Recall: 0.9886; ROC AUC: 0.4974
+[2024-05-21 16:55:28,360 INFO] Epoch:1, Snapshot:96; F1: 0.6622; Accuracy: 0.4970; Precision: 0.4975; Recall: 0.9900; ROC AUC: 0.4990
+[2024-05-21 16:55:29,267 INFO] Epoch:1, Snapshot:97; F1: 0.6895; Accuracy: 0.5280; Precision: 0.5293; Recall: 0.9887; ROC AUC: 0.4986
+[2024-05-21 16:55:30,032 INFO] Epoch:1, Snapshot:98; F1: 0.6747; Accuracy: 0.5110; Precision: 0.5121; Recall: 0.9883; ROC AUC: 0.4983
+[2024-05-21 16:55:30,861 INFO] Epoch:1, Snapshot:99; F1: 0.6550; Accuracy: 0.4890; Precision: 0.4889; Recall: 0.9918; ROC AUC: 0.4998
+[2024-05-21 16:55:31,940 INFO] Epoch:1, Snapshot:100; F1: 0.6764; Accuracy: 0.5130; Precision: 0.5136; Recall: 0.9903; ROC AUC: 0.4993
+[2024-05-21 16:55:32,846 INFO] Epoch:1, Snapshot:101; F1: 0.6398; Accuracy: 0.4720; Precision: 0.4723; Recall: 0.9915; ROC AUC: 0.4986
+[2024-05-21 16:55:33,706 INFO] Epoch:1, Snapshot:102; F1: 0.6613; Accuracy: 0.4980; Precision: 0.4954; Recall: 0.9939; ROC AUC: 0.5048
+[2024-05-21 16:55:34,628 INFO] Epoch:1, Snapshot:103; F1: 0.6514; Accuracy: 0.4840; Precision: 0.4864; Recall: 0.9857; ROC AUC: 0.4948
+[2024-05-21 16:55:35,456 INFO] Epoch:1, Snapshot:104; F1: 0.6467; Accuracy: 0.4800; Precision: 0.4808; Recall: 0.9876; ROC AUC: 0.4976
+[2024-05-21 16:55:36,394 INFO] Epoch:1, Snapshot:105; F1: 0.6143; Accuracy: 0.4450; Precision: 0.4438; Recall: 0.9977; ROC AUC: 0.5016
+[2024-05-21 16:55:37,332 INFO] Epoch:1, Snapshot:106; F1: 0.5976; Accuracy: 0.4290; Precision: 0.4283; Recall: 0.9883; ROC AUC: 0.4986
+[2024-05-21 16:55:38,207 INFO] Epoch:1, Snapshot:107; F1: 0.6477; Accuracy: 0.4810; Precision: 0.4808; Recall: 0.9917; ROC AUC: 0.4997
+[2024-05-21 16:55:39,207 INFO] Epoch:1, Snapshot:108; F1: 0.6702; Accuracy: 0.5060; Precision: 0.5086; Recall: 0.9824; ROC AUC: 0.4953
+[2024-05-21 16:55:40,113 INFO] Epoch:1, Snapshot:109; F1: 0.6622; Accuracy: 0.4990; Precision: 0.4965; Recall: 0.9939; ROC AUC: 0.5049
+[2024-05-21 16:55:40,927 INFO] Epoch:1, Snapshot:110; F1: 0.6676; Accuracy: 0.5070; Precision: 0.5036; Recall: 0.9900; ROC AUC: 0.5070
+[2024-05-21 16:55:41,802 INFO] Epoch:1, Snapshot:111; F1: 0.6379; Accuracy: 0.4710; Precision: 0.4712; Recall: 0.9873; ROC AUC: 0.4984
+[2024-05-21 16:55:42,897 INFO] Epoch:1, Snapshot:112; F1: 0.6667; Accuracy: 0.5020; Precision: 0.5030; Recall: 0.9881; ROC AUC: 0.4981
+[2024-05-21 16:55:43,772 INFO] Epoch:1, Snapshot:113; F1: 0.6490; Accuracy: 0.4830; Precision: 0.4853; Recall: 0.9795; ROC AUC: 0.4946
+[2024-05-21 16:55:44,850 INFO] Epoch:1, Snapshot:114; F1: 0.6913; Accuracy: 0.5320; Precision: 0.5298; Recall: 0.9943; ROC AUC: 0.5056
+[2024-05-21 16:55:45,882 INFO] Epoch:1, Snapshot:115; F1: 0.6421; Accuracy: 0.4750; Precision: 0.4748; Recall: 0.9916; ROC AUC: 0.4996
+[2024-05-21 16:55:46,882 INFO] Epoch:1, Snapshot:116; F1: 0.6568; Accuracy: 0.4910; Precision: 0.4919; Recall: 0.9878; ROC AUC: 0.4979
+[2024-05-21 16:55:47,914 INFO] Epoch:1, Snapshot:117; F1: 0.6449; Accuracy: 0.4780; Precision: 0.4769; Recall: 0.9958; ROC AUC: 0.5017
+[2024-05-21 16:55:48,852 INFO] Epoch:1, Snapshot:118; F1: 0.6808; Accuracy: 0.5190; Precision: 0.5208; Recall: 0.9828; ROC AUC: 0.4977
+[2024-05-21 16:55:49,821 INFO] Epoch:1, Snapshot:119; F1: 0.6586; Accuracy: 0.4950; Precision: 0.4924; Recall: 0.9939; ROC AUC: 0.5048
+[2024-05-21 16:55:50,821 INFO] Epoch:1, Snapshot:120; F1: 0.6513; Accuracy: 0.4850; Precision: 0.4844; Recall: 0.9938; ROC AUC: 0.5008
+[2024-05-21 16:55:51,759 INFO] Epoch:1, Snapshot:121; F1: 0.6613; Accuracy: 0.4970; Precision: 0.4970; Recall: 0.9879; ROC AUC: 0.4999
+[2024-05-21 16:55:52,651 INFO] Epoch:1, Snapshot:122; F1: 0.6997; Accuracy: 0.5400; Precision: 0.5392; Recall: 0.9963; ROC AUC: 0.5025
+[2024-05-21 16:55:53,651 INFO] Epoch:1, Snapshot:123; F1: 0.6522; Accuracy: 0.4870; Precision: 0.4868; Recall: 0.9877; ROC AUC: 0.4997
+[2024-05-21 16:55:53,666 INFO] Epoch:1, Snapshot: 36; Loss: 0.7021
+[2024-05-21 16:56:01,027 INFO] Epoch:1, Snapshot:37; F1: 0.7224; Accuracy: 0.5680; Precision: 0.5700; Recall: 0.9860; ROC AUC: 0.5000
+[2024-05-21 16:56:01,887 INFO] Epoch:1, Snapshot:38; F1: 0.6981; Accuracy: 0.5390; Precision: 0.5406; Recall: 0.9852; ROC AUC: 0.4991
+[2024-05-21 16:56:02,621 INFO] Epoch:1, Snapshot:39; F1: 0.6370; Accuracy: 0.4690; Precision: 0.4702; Recall: 0.9873; ROC AUC: 0.4965
+[2024-05-21 16:56:03,418 INFO] Epoch:1, Snapshot:40; F1: 0.6821; Accuracy: 0.5200; Precision: 0.5207; Recall: 0.9885; ROC AUC: 0.4995
+[2024-05-21 16:56:04,184 INFO] Epoch:1, Snapshot:41; F1: 0.6398; Accuracy: 0.4730; Precision: 0.4732; Recall: 0.9873; ROC AUC: 0.4984
+[2024-05-21 16:56:05,044 INFO] Epoch:1, Snapshot:42; F1: 0.6494; Accuracy: 0.4850; Precision: 0.4838; Recall: 0.9876; ROC AUC: 0.5015
+[2024-05-21 16:56:05,872 INFO] Epoch:1, Snapshot:43; F1: 0.6272; Accuracy: 0.4590; Precision: 0.4591; Recall: 0.9891; ROC AUC: 0.4983
+[2024-05-21 16:56:06,701 INFO] Epoch:1, Snapshot:44; F1: 0.6988; Accuracy: 0.5380; Precision: 0.5398; Recall: 0.9908; ROC AUC: 0.4976
+[2024-05-21 16:56:07,623 INFO] Epoch:1, Snapshot:45; F1: 0.6973; Accuracy: 0.5390; Precision: 0.5391; Recall: 0.9870; ROC AUC: 0.5022
+[2024-05-21 16:56:08,529 INFO] Epoch:1, Snapshot:46; F1: 0.6667; Accuracy: 0.5040; Precision: 0.5036; Recall: 0.9861; ROC AUC: 0.5011
+[2024-05-21 16:56:09,263 INFO] Epoch:1, Snapshot:47; F1: 0.6397; Accuracy: 0.4740; Precision: 0.4722; Recall: 0.9915; ROC AUC: 0.5024
+[2024-05-21 16:56:10,201 INFO] Epoch:1, Snapshot:48; F1: 0.6397; Accuracy: 0.4740; Precision: 0.4727; Recall: 0.9894; ROC AUC: 0.5013
+[2024-05-21 16:56:11,076 INFO] Epoch:1, Snapshot:49; F1: 0.6738; Accuracy: 0.5110; Precision: 0.5106; Recall: 0.9902; ROC AUC: 0.5012
+[2024-05-21 16:56:11,920 INFO] Epoch:1, Snapshot:50; F1: 0.6341; Accuracy: 0.4680; Precision: 0.4666; Recall: 0.9893; ROC AUC: 0.5012
+[2024-05-21 16:56:12,764 INFO] Epoch:1, Snapshot:51; F1: 0.6558; Accuracy: 0.4910; Precision: 0.4899; Recall: 0.9918; ROC AUC: 0.5018
+[2024-05-21 16:56:13,613 INFO] Epoch:1, Snapshot:52; F1: 0.6751; Accuracy: 0.5120; Precision: 0.5142; Recall: 0.9826; ROC AUC: 0.4964
+[2024-05-21 16:56:14,514 INFO] Epoch:1, Snapshot:53; F1: 0.6782; Accuracy: 0.5150; Precision: 0.5162; Recall: 0.9884; ROC AUC: 0.4983
+[2024-05-21 16:56:15,327 INFO] Epoch:1, Snapshot:54; F1: 0.6407; Accuracy: 0.4740; Precision: 0.4728; Recall: 0.9936; ROC AUC: 0.5016
+[2024-05-21 16:56:16,187 INFO] Epoch:1, Snapshot:55; F1: 0.6921; Accuracy: 0.5320; Precision: 0.5329; Recall: 0.9869; ROC AUC: 0.4999
+[2024-05-21 16:56:17,015 INFO] Epoch:1, Snapshot:56; F1: 0.6809; Accuracy: 0.5200; Precision: 0.5172; Recall: 0.9961; ROC AUC: 0.5063
+[2024-05-21 16:56:17,797 INFO] Epoch:1, Snapshot:57; F1: 0.6773; Accuracy: 0.5160; Precision: 0.5142; Recall: 0.9922; ROC AUC: 0.5043
+[2024-05-21 16:56:18,578 INFO] Epoch:1, Snapshot:58; F1: 0.6644; Accuracy: 0.5000; Precision: 0.4985; Recall: 0.9960; ROC AUC: 0.5030
+[2024-05-21 16:56:19,578 INFO] Epoch:1, Snapshot:59; F1: 0.6967; Accuracy: 0.5360; Precision: 0.5362; Recall: 0.9944; ROC AUC: 0.5004
+[2024-05-21 16:56:20,425 INFO] Epoch:1, Snapshot:60; F1: 0.6702; Accuracy: 0.5060; Precision: 0.5071; Recall: 0.9882; ROC AUC: 0.4982
+[2024-05-21 16:56:21,392 INFO] Epoch:1, Snapshot:61; F1: 0.6467; Accuracy: 0.4810; Precision: 0.4813; Recall: 0.9855; ROC AUC: 0.4985
+[2024-05-21 16:56:22,376 INFO] Epoch:1, Snapshot:62; F1: 0.6495; Accuracy: 0.4830; Precision: 0.4819; Recall: 0.9958; ROC AUC: 0.5018
+[2024-05-21 16:56:23,455 INFO] Epoch:1, Snapshot:63; F1: 0.6667; Accuracy: 0.5000; Precision: 0.5020; Recall: 0.9921; ROC AUC: 0.4960
+[2024-05-21 16:56:24,393 INFO] Epoch:1, Snapshot:64; F1: 0.6342; Accuracy: 0.4670; Precision: 0.4681; Recall: 0.9830; ROC AUC: 0.4962
+[2024-05-21 16:56:25,268 INFO] Epoch:1, Snapshot:65; F1: 0.6361; Accuracy: 0.4690; Precision: 0.4687; Recall: 0.9893; ROC AUC: 0.4994
+[2024-05-21 16:56:26,268 INFO] Epoch:1, Snapshot:66; F1: 0.7169; Accuracy: 0.5600; Precision: 0.5604; Recall: 0.9946; ROC AUC: 0.5007
+[2024-05-21 16:56:27,065 INFO] Epoch:1, Snapshot:67; F1: 0.6658; Accuracy: 0.5010; Precision: 0.5005; Recall: 0.9940; ROC AUC: 0.5010
+[2024-05-21 16:56:27,909 INFO] Epoch:1, Snapshot:68; F1: 0.6517; Accuracy: 0.4880; Precision: 0.4848; Recall: 0.9938; ROC AUC: 0.5056
+[2024-05-21 16:56:28,738 INFO] Epoch:1, Snapshot:69; F1: 0.6504; Accuracy: 0.4840; Precision: 0.4868; Recall: 0.9796; ROC AUC: 0.4937
+[2024-05-21 16:56:29,644 INFO] Epoch:1, Snapshot:70; F1: 0.6886; Accuracy: 0.5270; Precision: 0.5262; Recall: 0.9962; ROC AUC: 0.5023
+[2024-05-21 16:56:30,473 INFO] Epoch:1, Snapshot:71; F1: 0.6563; Accuracy: 0.4910; Precision: 0.4914; Recall: 0.9878; ROC AUC: 0.4988
+[2024-05-21 16:56:31,301 INFO] Epoch:1, Snapshot:72; F1: 0.6379; Accuracy: 0.4710; Precision: 0.4702; Recall: 0.9915; ROC AUC: 0.5005
+[2024-05-21 16:56:31,993 INFO] Epoch:1, Snapshot:73; F1: 0.5999; Accuracy: 0.4330; Precision: 0.4302; Recall: 0.9907; ROC AUC: 0.5023
+[2024-05-21 16:56:32,754 INFO] Epoch:1, Snapshot:74; F1: 0.6101; Accuracy: 0.4390; Precision: 0.4412; Recall: 0.9887; ROC AUC: 0.4944
+[2024-05-21 16:56:33,567 INFO] Epoch:1, Snapshot:75; F1: 0.6248; Accuracy: 0.4560; Precision: 0.4580; Recall: 0.9826; ROC AUC: 0.4941
+[2024-05-21 16:56:34,317 INFO] Epoch:1, Snapshot:76; F1: 0.6513; Accuracy: 0.4850; Precision: 0.4844; Recall: 0.9938; ROC AUC: 0.5008
+[2024-05-21 16:56:35,208 INFO] Epoch:1, Snapshot:77; F1: 0.6716; Accuracy: 0.5090; Precision: 0.5066; Recall: 0.9960; ROC AUC: 0.5051
+[2024-05-21 16:56:36,099 INFO] Epoch:1, Snapshot:78; F1: 0.7023; Accuracy: 0.5430; Precision: 0.5439; Recall: 0.9908; ROC AUC: 0.4998
+[2024-05-21 16:56:36,990 INFO] Epoch:1, Snapshot:79; F1: 0.6878; Accuracy: 0.5280; Precision: 0.5263; Recall: 0.9924; ROC AUC: 0.5046
+[2024-05-21 16:56:37,771 INFO] Epoch:1, Snapshot:80; F1: 0.6667; Accuracy: 0.5040; Precision: 0.5020; Recall: 0.9920; ROC AUC: 0.5040
+[2024-05-21 16:56:38,740 INFO] Epoch:1, Snapshot:81; F1: 0.6804; Accuracy: 0.5180; Precision: 0.5182; Recall: 0.9903; ROC AUC: 0.5004
+[2024-05-21 16:56:39,584 INFO] Epoch:1, Snapshot:82; F1: 0.6379; Accuracy: 0.4710; Precision: 0.4688; Recall: 0.9979; ROC AUC: 0.5036
+[2024-05-21 16:56:40,568 INFO] Epoch:1, Snapshot:83; F1: 0.6882; Accuracy: 0.5270; Precision: 0.5262; Recall: 0.9943; ROC AUC: 0.5024
+[2024-05-21 16:56:41,412 INFO] Epoch:1, Snapshot:84; F1: 0.6786; Accuracy: 0.5150; Precision: 0.5166; Recall: 0.9884; ROC AUC: 0.4973
+[2024-05-21 16:56:42,245 INFO] Epoch:1, Snapshot:85; F1: 0.6891; Accuracy: 0.5290; Precision: 0.5278; Recall: 0.9924; ROC AUC: 0.5036
+[2024-05-21 16:56:43,163 INFO] Epoch:1, Snapshot:86; F1: 0.6711; Accuracy: 0.5100; Precision: 0.5086; Recall: 0.9862; ROC AUC: 0.5032
+[2024-05-21 16:56:44,054 INFO] Epoch:1, Snapshot:87; F1: 0.6518; Accuracy: 0.4860; Precision: 0.4849; Recall: 0.9938; ROC AUC: 0.5017
+[2024-05-21 16:56:44,976 INFO] Epoch:1, Snapshot:88; F1: 0.6595; Accuracy: 0.4950; Precision: 0.4934; Recall: 0.9939; ROC AUC: 0.5029
+[2024-05-21 16:56:45,992 INFO] Epoch:1, Snapshot:89; F1: 0.7010; Accuracy: 0.5420; Precision: 0.5430; Recall: 0.9890; ROC AUC: 0.4999
+[2024-05-21 16:56:46,758 INFO] Epoch:1, Snapshot:90; F1: 0.6435; Accuracy: 0.4760; Precision: 0.4773; Recall: 0.9875; ROC AUC: 0.4966
+[2024-05-21 16:56:47,649 INFO] Epoch:1, Snapshot:91; F1: 0.6994; Accuracy: 0.5410; Precision: 0.5416; Recall: 0.9871; ROC AUC: 0.5012
+[2024-05-21 16:56:48,509 INFO] Epoch:1, Snapshot:92; F1: 0.6472; Accuracy: 0.4800; Precision: 0.4808; Recall: 0.9896; ROC AUC: 0.4977
+[2024-05-21 16:56:49,337 INFO] Epoch:1, Snapshot:93; F1: 0.6667; Accuracy: 0.5030; Precision: 0.5025; Recall: 0.9900; ROC AUC: 0.5010
+[2024-05-21 16:56:50,118 INFO] Epoch:1, Snapshot:94; F1: 0.6568; Accuracy: 0.4920; Precision: 0.4894; Recall: 0.9979; ROC AUC: 0.5048
+[2024-05-21 16:56:51,009 INFO] Epoch:1, Snapshot:95; F1: 0.6878; Accuracy: 0.5270; Precision: 0.5263; Recall: 0.9924; ROC AUC: 0.5025
+[2024-05-21 16:56:51,916 INFO] Epoch:1, Snapshot:96; F1: 0.6613; Accuracy: 0.4970; Precision: 0.4975; Recall: 0.9859; ROC AUC: 0.4989
+[2024-05-21 16:56:52,839 INFO] Epoch:1, Snapshot:97; F1: 0.6913; Accuracy: 0.5320; Precision: 0.5314; Recall: 0.9887; ROC AUC: 0.5029
+[2024-05-21 16:56:53,589 INFO] Epoch:1, Snapshot:98; F1: 0.6720; Accuracy: 0.5090; Precision: 0.5112; Recall: 0.9805; ROC AUC: 0.4964
+[2024-05-21 16:56:54,464 INFO] Epoch:1, Snapshot:99; F1: 0.6563; Accuracy: 0.4920; Precision: 0.4904; Recall: 0.9918; ROC AUC: 0.5028
+[2024-05-21 16:56:55,574 INFO] Epoch:1, Snapshot:100; F1: 0.6711; Accuracy: 0.5060; Precision: 0.5101; Recall: 0.9805; ROC AUC: 0.4923
+[2024-05-21 16:56:56,465 INFO] Epoch:1, Snapshot:101; F1: 0.6393; Accuracy: 0.4730; Precision: 0.4727; Recall: 0.9873; ROC AUC: 0.4994
+[2024-05-21 16:56:57,403 INFO] Epoch:1, Snapshot:102; F1: 0.6577; Accuracy: 0.4920; Precision: 0.4924; Recall: 0.9899; ROC AUC: 0.4989
+[2024-05-21 16:56:58,263 INFO] Epoch:1, Snapshot:103; F1: 0.6572; Accuracy: 0.4910; Precision: 0.4900; Recall: 0.9980; ROC AUC: 0.5019
+[2024-05-21 16:56:59,091 INFO] Epoch:1, Snapshot:104; F1: 0.6468; Accuracy: 0.4790; Precision: 0.4804; Recall: 0.9896; ROC AUC: 0.4967
+[2024-05-21 16:56:59,982 INFO] Epoch:1, Snapshot:105; F1: 0.6103; Accuracy: 0.4420; Precision: 0.4419; Recall: 0.9865; ROC AUC: 0.4977
+[2024-05-21 16:57:00,951 INFO] Epoch:1, Snapshot:106; F1: 0.5992; Accuracy: 0.4300; Precision: 0.4290; Recall: 0.9930; ROC AUC: 0.5000
+[2024-05-21 16:57:01,873 INFO] Epoch:1, Snapshot:107; F1: 0.6500; Accuracy: 0.4830; Precision: 0.4819; Recall: 0.9979; ROC AUC: 0.5019
+[2024-05-21 16:57:02,873 INFO] Epoch:1, Snapshot:108; F1: 0.6716; Accuracy: 0.5070; Precision: 0.5091; Recall: 0.9863; ROC AUC: 0.4962
+[2024-05-21 16:57:03,764 INFO] Epoch:1, Snapshot:109; F1: 0.6590; Accuracy: 0.4940; Precision: 0.4939; Recall: 0.9899; ROC AUC: 0.4999
+[2024-05-21 16:57:04,608 INFO] Epoch:1, Snapshot:110; F1: 0.6635; Accuracy: 0.4980; Precision: 0.4990; Recall: 0.9900; ROC AUC: 0.4980
+[2024-05-21 16:57:05,452 INFO] Epoch:1, Snapshot:111; F1: 0.6392; Accuracy: 0.4740; Precision: 0.4726; Recall: 0.9873; ROC AUC: 0.5012
+[2024-05-21 16:57:06,484 INFO] Epoch:1, Snapshot:112; F1: 0.6680; Accuracy: 0.5030; Precision: 0.5035; Recall: 0.9921; ROC AUC: 0.4991
+[2024-05-21 16:57:07,391 INFO] Epoch:1, Snapshot:113; F1: 0.6499; Accuracy: 0.4840; Precision: 0.4858; Recall: 0.9816; ROC AUC: 0.4957
+[2024-05-21 16:57:08,516 INFO] Epoch:1, Snapshot:114; F1: 0.6877; Accuracy: 0.5260; Precision: 0.5267; Recall: 0.9905; ROC AUC: 0.4995
+[2024-05-21 16:57:09,547 INFO] Epoch:1, Snapshot:115; F1: 0.6412; Accuracy: 0.4740; Precision: 0.4743; Recall: 0.9895; ROC AUC: 0.4985
+[2024-05-21 16:57:10,532 INFO] Epoch:1, Snapshot:116; F1: 0.6586; Accuracy: 0.4920; Precision: 0.4925; Recall: 0.9939; ROC AUC: 0.4989
+[2024-05-21 16:57:11,626 INFO] Epoch:1, Snapshot:117; F1: 0.6439; Accuracy: 0.4780; Precision: 0.4768; Recall: 0.9916; ROC AUC: 0.5015
+[2024-05-21 16:57:12,610 INFO] Epoch:1, Snapshot:118; F1: 0.6847; Accuracy: 0.5220; Precision: 0.5221; Recall: 0.9943; ROC AUC: 0.5003
+[2024-05-21 16:57:13,598 INFO] Epoch:1, Snapshot:119; F1: 0.6514; Accuracy: 0.4840; Precision: 0.4869; Recall: 0.9837; ROC AUC: 0.4938
+[2024-05-21 16:57:14,595 INFO] Epoch:1, Snapshot:120; F1: 0.6490; Accuracy: 0.4840; Precision: 0.4838; Recall: 0.9855; ROC AUC: 0.4996
+[2024-05-21 16:57:15,533 INFO] Epoch:1, Snapshot:121; F1: 0.6577; Accuracy: 0.4910; Precision: 0.4939; Recall: 0.9839; ROC AUC: 0.4939
+[2024-05-21 16:57:16,424 INFO] Epoch:1, Snapshot:122; F1: 0.6989; Accuracy: 0.5390; Precision: 0.5388; Recall: 0.9944; ROC AUC: 0.5015
+[2024-05-21 16:57:17,424 INFO] Epoch:1, Snapshot:123; F1: 0.6531; Accuracy: 0.4880; Precision: 0.4874; Recall: 0.9897; ROC AUC: 0.5007
+[2024-05-21 16:57:17,440 INFO] Epoch:1, Snapshot: 37; Loss: 0.7080
+[2024-05-21 16:57:24,566 INFO] Epoch:1, Snapshot:37; F1: 0.7214; Accuracy: 0.5660; Precision: 0.5688; Recall: 0.9860; ROC AUC: 0.4976
+[2024-05-21 16:57:25,395 INFO] Epoch:1, Snapshot:38; F1: 0.6950; Accuracy: 0.5330; Precision: 0.5374; Recall: 0.9834; ROC AUC: 0.4928
+[2024-05-21 16:57:26,114 INFO] Epoch:1, Snapshot:39; F1: 0.6380; Accuracy: 0.4700; Precision: 0.4708; Recall: 0.9894; ROC AUC: 0.4975
+[2024-05-21 16:57:26,895 INFO] Epoch:1, Snapshot:40; F1: 0.6852; Accuracy: 0.5240; Precision: 0.5227; Recall: 0.9942; ROC AUC: 0.5034
+[2024-05-21 16:57:27,661 INFO] Epoch:1, Snapshot:41; F1: 0.6440; Accuracy: 0.4770; Precision: 0.4754; Recall: 0.9979; ROC AUC: 0.5027
+[2024-05-21 16:57:28,490 INFO] Epoch:1, Snapshot:42; F1: 0.6453; Accuracy: 0.4790; Precision: 0.4807; Recall: 0.9814; ROC AUC: 0.4955
+[2024-05-21 16:57:29,271 INFO] Epoch:1, Snapshot:43; F1: 0.6279; Accuracy: 0.4630; Precision: 0.4608; Recall: 0.9848; ROC AUC: 0.5017
+[2024-05-21 16:57:30,146 INFO] Epoch:1, Snapshot:44; F1: 0.6981; Accuracy: 0.5390; Precision: 0.5406; Recall: 0.9852; ROC AUC: 0.4991
+[2024-05-21 16:57:31,053 INFO] Epoch:1, Snapshot:45; F1: 0.6982; Accuracy: 0.5400; Precision: 0.5396; Recall: 0.9888; ROC AUC: 0.5031
+[2024-05-21 16:57:31,943 INFO] Epoch:1, Snapshot:46; F1: 0.6702; Accuracy: 0.5070; Precision: 0.5050; Recall: 0.9960; ROC AUC: 0.5040
+[2024-05-21 16:57:32,694 INFO] Epoch:1, Snapshot:47; F1: 0.6380; Accuracy: 0.4700; Precision: 0.4703; Recall: 0.9915; ROC AUC: 0.4986
+[2024-05-21 16:57:33,648 INFO] Epoch:1, Snapshot:48; F1: 0.6397; Accuracy: 0.4740; Precision: 0.4727; Recall: 0.9894; ROC AUC: 0.5013
+[2024-05-21 16:57:34,523 INFO] Epoch:1, Snapshot:49; F1: 0.6702; Accuracy: 0.5050; Precision: 0.5076; Recall: 0.9863; ROC AUC: 0.4952
+[2024-05-21 16:57:35,320 INFO] Epoch:1, Snapshot:50; F1: 0.6369; Accuracy: 0.4720; Precision: 0.4686; Recall: 0.9936; ROC AUC: 0.5052
+[2024-05-21 16:57:36,148 INFO] Epoch:1, Snapshot:51; F1: 0.6559; Accuracy: 0.4890; Precision: 0.4890; Recall: 0.9959; ROC AUC: 0.4999
+[2024-05-21 16:57:36,976 INFO] Epoch:1, Snapshot:52; F1: 0.6795; Accuracy: 0.5170; Precision: 0.5166; Recall: 0.9922; ROC AUC: 0.5013
+[2024-05-21 16:57:37,931 INFO] Epoch:1, Snapshot:53; F1: 0.6760; Accuracy: 0.5120; Precision: 0.5147; Recall: 0.9845; ROC AUC: 0.4954
+[2024-05-21 16:57:38,742 INFO] Epoch:1, Snapshot:54; F1: 0.6430; Accuracy: 0.4770; Precision: 0.4743; Recall: 0.9979; ROC AUC: 0.5046
+[2024-05-21 16:57:39,571 INFO] Epoch:1, Snapshot:55; F1: 0.6930; Accuracy: 0.5330; Precision: 0.5334; Recall: 0.9887; ROC AUC: 0.5008
+[2024-05-21 16:57:40,399 INFO] Epoch:1, Snapshot:56; F1: 0.6777; Accuracy: 0.5150; Precision: 0.5146; Recall: 0.9922; ROC AUC: 0.5013
+[2024-05-21 16:57:41,211 INFO] Epoch:1, Snapshot:57; F1: 0.6769; Accuracy: 0.5150; Precision: 0.5137; Recall: 0.9922; ROC AUC: 0.5033
+[2024-05-21 16:57:42,009 INFO] Epoch:1, Snapshot:58; F1: 0.6609; Accuracy: 0.4940; Precision: 0.4955; Recall: 0.9920; ROC AUC: 0.4970
+[2024-05-21 16:57:43,009 INFO] Epoch:1, Snapshot:59; F1: 0.6951; Accuracy: 0.5350; Precision: 0.5359; Recall: 0.9888; ROC AUC: 0.4998
+[2024-05-21 16:57:43,854 INFO] Epoch:1, Snapshot:60; F1: 0.6711; Accuracy: 0.5090; Precision: 0.5086; Recall: 0.9862; ROC AUC: 0.5012
+[2024-05-21 16:57:44,854 INFO] Epoch:1, Snapshot:61; F1: 0.6513; Accuracy: 0.4860; Precision: 0.4839; Recall: 0.9959; ROC AUC: 0.5037
+[2024-05-21 16:57:45,823 INFO] Epoch:1, Snapshot:62; F1: 0.6467; Accuracy: 0.4810; Precision: 0.4808; Recall: 0.9875; ROC AUC: 0.4995
+[2024-05-21 16:57:46,854 INFO] Epoch:1, Snapshot:63; F1: 0.6676; Accuracy: 0.5040; Precision: 0.5040; Recall: 0.9881; ROC AUC: 0.5001
+[2024-05-21 16:57:47,823 INFO] Epoch:1, Snapshot:64; F1: 0.6411; Accuracy: 0.4750; Precision: 0.4723; Recall: 0.9979; ROC AUC: 0.5046
+[2024-05-21 16:57:48,683 INFO] Epoch:1, Snapshot:65; F1: 0.6379; Accuracy: 0.4710; Precision: 0.4698; Recall: 0.9936; ROC AUC: 0.5015
+[2024-05-21 16:57:49,699 INFO] Epoch:1, Snapshot:66; F1: 0.7178; Accuracy: 0.5620; Precision: 0.5615; Recall: 0.9946; ROC AUC: 0.5030
+[2024-05-21 16:57:50,543 INFO] Epoch:1, Snapshot:67; F1: 0.6622; Accuracy: 0.4960; Precision: 0.4980; Recall: 0.9880; ROC AUC: 0.4960
+[2024-05-21 16:57:51,325 INFO] Epoch:1, Snapshot:68; F1: 0.6454; Accuracy: 0.4780; Precision: 0.4798; Recall: 0.9855; ROC AUC: 0.4956
+[2024-05-21 16:57:52,153 INFO] Epoch:1, Snapshot:69; F1: 0.6563; Accuracy: 0.4910; Precision: 0.4904; Recall: 0.9918; ROC AUC: 0.5008
+[2024-05-21 16:57:53,076 INFO] Epoch:1, Snapshot:70; F1: 0.6882; Accuracy: 0.5260; Precision: 0.5256; Recall: 0.9962; ROC AUC: 0.5013
+[2024-05-21 16:57:53,889 INFO] Epoch:1, Snapshot:71; F1: 0.6576; Accuracy: 0.4950; Precision: 0.4934; Recall: 0.9858; ROC AUC: 0.5027
+[2024-05-21 16:57:54,748 INFO] Epoch:1, Snapshot:72; F1: 0.6379; Accuracy: 0.4720; Precision: 0.4706; Recall: 0.9894; ROC AUC: 0.5013
+[2024-05-21 16:57:55,451 INFO] Epoch:1, Snapshot:73; F1: 0.5973; Accuracy: 0.4270; Precision: 0.4276; Recall: 0.9907; ROC AUC: 0.4971
+[2024-05-21 16:57:56,201 INFO] Epoch:1, Snapshot:74; F1: 0.6114; Accuracy: 0.4420; Precision: 0.4425; Recall: 0.9887; ROC AUC: 0.4971
+[2024-05-21 16:57:57,092 INFO] Epoch:1, Snapshot:75; F1: 0.6290; Accuracy: 0.4610; Precision: 0.4607; Recall: 0.9913; ROC AUC: 0.4994
+[2024-05-21 16:57:57,843 INFO] Epoch:1, Snapshot:76; F1: 0.6477; Accuracy: 0.4810; Precision: 0.4823; Recall: 0.9855; ROC AUC: 0.4966
+[2024-05-21 16:57:58,749 INFO] Epoch:1, Snapshot:77; F1: 0.6671; Accuracy: 0.5020; Precision: 0.5030; Recall: 0.9901; ROC AUC: 0.4981
+[2024-05-21 16:57:59,640 INFO] Epoch:1, Snapshot:78; F1: 0.7066; Accuracy: 0.5490; Precision: 0.5468; Recall: 0.9982; ROC AUC: 0.5057
+[2024-05-21 16:58:00,531 INFO] Epoch:1, Snapshot:79; F1: 0.6860; Accuracy: 0.5240; Precision: 0.5242; Recall: 0.9924; ROC AUC: 0.5004
+[2024-05-21 16:58:01,375 INFO] Epoch:1, Snapshot:80; F1: 0.6635; Accuracy: 0.4990; Precision: 0.4995; Recall: 0.9880; ROC AUC: 0.4990
+[2024-05-21 16:58:02,313 INFO] Epoch:1, Snapshot:81; F1: 0.6812; Accuracy: 0.5190; Precision: 0.5187; Recall: 0.9923; ROC AUC: 0.5013
+[2024-05-21 16:58:03,110 INFO] Epoch:1, Snapshot:82; F1: 0.6332; Accuracy: 0.4670; Precision: 0.4665; Recall: 0.9850; ROC AUC: 0.4991
+[2024-05-21 16:58:04,111 INFO] Epoch:1, Snapshot:83; F1: 0.6860; Accuracy: 0.5240; Precision: 0.5247; Recall: 0.9905; ROC AUC: 0.4994
+[2024-05-21 16:58:04,955 INFO] Epoch:1, Snapshot:84; F1: 0.6795; Accuracy: 0.5170; Precision: 0.5177; Recall: 0.9884; ROC AUC: 0.4994
+[2024-05-21 16:58:05,814 INFO] Epoch:1, Snapshot:85; F1: 0.6861; Accuracy: 0.5260; Precision: 0.5264; Recall: 0.9848; ROC AUC: 0.5008
+[2024-05-21 16:58:06,690 INFO] Epoch:1, Snapshot:86; F1: 0.6698; Accuracy: 0.5070; Precision: 0.5071; Recall: 0.9862; ROC AUC: 0.5002
+[2024-05-21 16:58:07,627 INFO] Epoch:1, Snapshot:87; F1: 0.6495; Accuracy: 0.4830; Precision: 0.4834; Recall: 0.9897; ROC AUC: 0.4987
+[2024-05-21 16:58:08,518 INFO] Epoch:1, Snapshot:88; F1: 0.6586; Accuracy: 0.4940; Precision: 0.4929; Recall: 0.9919; ROC AUC: 0.5018
+[2024-05-21 16:58:09,613 INFO] Epoch:1, Snapshot:89; F1: 0.7022; Accuracy: 0.5420; Precision: 0.5427; Recall: 0.9945; ROC AUC: 0.4994
+[2024-05-21 16:58:10,425 INFO] Epoch:1, Snapshot:90; F1: 0.6458; Accuracy: 0.4800; Precision: 0.4793; Recall: 0.9896; ROC AUC: 0.5005
+[2024-05-21 16:58:11,316 INFO] Epoch:1, Snapshot:91; F1: 0.7046; Accuracy: 0.5490; Precision: 0.5456; Recall: 0.9945; ROC AUC: 0.5092
+[2024-05-21 16:58:12,191 INFO] Epoch:1, Snapshot:92; F1: 0.6491; Accuracy: 0.4820; Precision: 0.4819; Recall: 0.9938; ROC AUC: 0.4998
+[2024-05-21 16:58:13,020 INFO] Epoch:1, Snapshot:93; F1: 0.6671; Accuracy: 0.5040; Precision: 0.5030; Recall: 0.9900; ROC AUC: 0.5020
+[2024-05-21 16:58:13,817 INFO] Epoch:1, Snapshot:94; F1: 0.6491; Accuracy: 0.4810; Precision: 0.4839; Recall: 0.9856; ROC AUC: 0.4938
+[2024-05-21 16:58:14,676 INFO] Epoch:1, Snapshot:95; F1: 0.6882; Accuracy: 0.5270; Precision: 0.5262; Recall: 0.9943; ROC AUC: 0.5024
+[2024-05-21 16:58:15,614 INFO] Epoch:1, Snapshot:96; F1: 0.6653; Accuracy: 0.5020; Precision: 0.5000; Recall: 0.9940; ROC AUC: 0.5040
+[2024-05-21 16:58:16,552 INFO] Epoch:1, Snapshot:97; F1: 0.6925; Accuracy: 0.5310; Precision: 0.5307; Recall: 0.9962; ROC AUC: 0.5013
+[2024-05-21 16:58:17,286 INFO] Epoch:1, Snapshot:98; F1: 0.6751; Accuracy: 0.5110; Precision: 0.5121; Recall: 0.9903; ROC AUC: 0.4982
+[2024-05-21 16:58:18,162 INFO] Epoch:1, Snapshot:99; F1: 0.6527; Accuracy: 0.4860; Precision: 0.4874; Recall: 0.9877; ROC AUC: 0.4968
+[2024-05-21 16:58:19,272 INFO] Epoch:1, Snapshot:100; F1: 0.6773; Accuracy: 0.5160; Precision: 0.5152; Recall: 0.9883; ROC AUC: 0.5024
+[2024-05-21 16:58:20,132 INFO] Epoch:1, Snapshot:101; F1: 0.6425; Accuracy: 0.4780; Precision: 0.4752; Recall: 0.9915; ROC AUC: 0.5043
+[2024-05-21 16:58:20,991 INFO] Epoch:1, Snapshot:102; F1: 0.6581; Accuracy: 0.4940; Precision: 0.4934; Recall: 0.9878; ROC AUC: 0.5008
+[2024-05-21 16:58:21,898 INFO] Epoch:1, Snapshot:103; F1: 0.6491; Accuracy: 0.4810; Precision: 0.4848; Recall: 0.9816; ROC AUC: 0.4918
+[2024-05-21 16:58:22,711 INFO] Epoch:1, Snapshot:104; F1: 0.6458; Accuracy: 0.4790; Precision: 0.4803; Recall: 0.9855; ROC AUC: 0.4966
+[2024-05-21 16:58:23,648 INFO] Epoch:1, Snapshot:105; F1: 0.6124; Accuracy: 0.4430; Precision: 0.4427; Recall: 0.9932; ROC AUC: 0.4993
+[2024-05-21 16:58:24,633 INFO] Epoch:1, Snapshot:106; F1: 0.5994; Accuracy: 0.4320; Precision: 0.4297; Recall: 0.9907; ROC AUC: 0.5015
+[2024-05-21 16:58:25,524 INFO] Epoch:1, Snapshot:107; F1: 0.6463; Accuracy: 0.4800; Precision: 0.4803; Recall: 0.9875; ROC AUC: 0.4986
+[2024-05-21 16:58:26,524 INFO] Epoch:1, Snapshot:108; F1: 0.6724; Accuracy: 0.5080; Precision: 0.5096; Recall: 0.9883; ROC AUC: 0.4972
+[2024-05-21 16:58:27,431 INFO] Epoch:1, Snapshot:109; F1: 0.6586; Accuracy: 0.4930; Precision: 0.4934; Recall: 0.9899; ROC AUC: 0.4989
+[2024-05-21 16:58:28,259 INFO] Epoch:1, Snapshot:110; F1: 0.6626; Accuracy: 0.4970; Precision: 0.4985; Recall: 0.9880; ROC AUC: 0.4970
+[2024-05-21 16:58:29,072 INFO] Epoch:1, Snapshot:111; F1: 0.6384; Accuracy: 0.4710; Precision: 0.4712; Recall: 0.9894; ROC AUC: 0.4985
+[2024-05-21 16:58:30,119 INFO] Epoch:1, Snapshot:112; F1: 0.6671; Accuracy: 0.5040; Precision: 0.5041; Recall: 0.9861; ROC AUC: 0.5001
+[2024-05-21 16:58:30,994 INFO] Epoch:1, Snapshot:113; F1: 0.6522; Accuracy: 0.4860; Precision: 0.4869; Recall: 0.9877; ROC AUC: 0.4978
+[2024-05-21 16:58:32,088 INFO] Epoch:1, Snapshot:114; F1: 0.6926; Accuracy: 0.5330; Precision: 0.5302; Recall: 0.9981; ROC AUC: 0.5065
+[2024-05-21 16:58:33,136 INFO] Epoch:1, Snapshot:115; F1: 0.6389; Accuracy: 0.4710; Precision: 0.4727; Recall: 0.9853; ROC AUC: 0.4955
+[2024-05-21 16:58:34,121 INFO] Epoch:1, Snapshot:116; F1: 0.6577; Accuracy: 0.4920; Precision: 0.4924; Recall: 0.9899; ROC AUC: 0.4989
+[2024-05-21 16:58:35,168 INFO] Epoch:1, Snapshot:117; F1: 0.6430; Accuracy: 0.4770; Precision: 0.4762; Recall: 0.9895; ROC AUC: 0.5005
+[2024-05-21 16:58:36,137 INFO] Epoch:1, Snapshot:118; F1: 0.6817; Accuracy: 0.5190; Precision: 0.5207; Recall: 0.9866; ROC AUC: 0.4975
+[2024-05-21 16:58:37,122 INFO] Epoch:1, Snapshot:119; F1: 0.6568; Accuracy: 0.4920; Precision: 0.4909; Recall: 0.9918; ROC AUC: 0.5018
+[2024-05-21 16:58:38,108 INFO] Epoch:1, Snapshot:120; F1: 0.6499; Accuracy: 0.4840; Precision: 0.4838; Recall: 0.9897; ROC AUC: 0.4997
+[2024-05-21 16:58:39,028 INFO] Epoch:1, Snapshot:121; F1: 0.6622; Accuracy: 0.4980; Precision: 0.4975; Recall: 0.9899; ROC AUC: 0.5009
+[2024-05-21 16:58:39,950 INFO] Epoch:1, Snapshot:122; F1: 0.6977; Accuracy: 0.5390; Precision: 0.5390; Recall: 0.9888; ROC AUC: 0.5020
+[2024-05-21 16:58:40,966 INFO] Epoch:1, Snapshot:123; F1: 0.6500; Accuracy: 0.4830; Precision: 0.4848; Recall: 0.9856; ROC AUC: 0.4957
+[2024-05-21 16:58:40,981 INFO] Epoch:1, Snapshot: 38; Loss: 0.6991
+[2024-05-21 16:58:47,748 INFO] Epoch:1, Snapshot:37; F1: 0.6977; Accuracy: 0.5460; Precision: 0.5622; Recall: 0.9193; ROC AUC: 0.4852
+[2024-05-21 16:58:48,671 INFO] Epoch:1, Snapshot:38; F1: 0.6762; Accuracy: 0.5220; Precision: 0.5337; Recall: 0.9224; ROC AUC: 0.4862
+[2024-05-21 16:58:49,421 INFO] Epoch:1, Snapshot:39; F1: 0.6592; Accuracy: 0.5160; Precision: 0.4937; Recall: 0.9915; ROC AUC: 0.5412
+[2024-05-21 16:58:50,250 INFO] Epoch:1, Snapshot:40; F1: 0.6776; Accuracy: 0.5300; Precision: 0.5272; Recall: 0.9482; ROC AUC: 0.5117
+[2024-05-21 16:58:51,016 INFO] Epoch:1, Snapshot:41; F1: 0.6233; Accuracy: 0.4670; Precision: 0.4687; Recall: 0.9304; ROC AUC: 0.4899
+[2024-05-21 16:58:51,828 INFO] Epoch:1, Snapshot:42; F1: 0.6342; Accuracy: 0.4810; Precision: 0.4808; Recall: 0.9317; ROC AUC: 0.4958
+[2024-05-21 16:58:52,657 INFO] Epoch:1, Snapshot:43; F1: 0.6122; Accuracy: 0.4590; Precision: 0.4567; Recall: 0.9283; ROC AUC: 0.4938
+[2024-05-21 16:58:53,532 INFO] Epoch:1, Snapshot:44; F1: 0.6954; Accuracy: 0.5470; Precision: 0.5465; Recall: 0.9556; ROC AUC: 0.5105
+[2024-05-21 16:58:54,392 INFO] Epoch:1, Snapshot:45; F1: 0.6927; Accuracy: 0.5430; Precision: 0.5427; Recall: 0.9572; ROC AUC: 0.5089
+[2024-05-21 16:58:55,283 INFO] Epoch:1, Snapshot:46; F1: 0.6468; Accuracy: 0.4910; Precision: 0.4968; Recall: 0.9264; ROC AUC: 0.4884
+[2024-05-21 16:58:56,048 INFO] Epoch:1, Snapshot:47; F1: 0.6344; Accuracy: 0.4860; Precision: 0.4770; Recall: 0.9469; ROC AUC: 0.5113
+[2024-05-21 16:58:56,955 INFO] Epoch:1, Snapshot:48; F1: 0.6338; Accuracy: 0.4870; Precision: 0.4779; Recall: 0.9407; ROC AUC: 0.5111
+[2024-05-21 16:58:57,815 INFO] Epoch:1, Snapshot:49; F1: 0.6551; Accuracy: 0.5020; Precision: 0.5064; Recall: 0.9275; ROC AUC: 0.4933
+[2024-05-21 16:58:58,674 INFO] Epoch:1, Snapshot:50; F1: 0.6247; Accuracy: 0.4690; Precision: 0.4658; Recall: 0.9485; ROC AUC: 0.4995
+[2024-05-21 16:58:59,518 INFO] Epoch:1, Snapshot:51; F1: 0.6394; Accuracy: 0.4880; Precision: 0.4876; Recall: 0.9284; ROC AUC: 0.4975
+[2024-05-21 16:59:00,347 INFO] Epoch:1, Snapshot:52; F1: 0.6680; Accuracy: 0.5170; Precision: 0.5176; Recall: 0.9419; ROC AUC: 0.5030
+[2024-05-21 16:59:01,253 INFO] Epoch:1, Snapshot:53; F1: 0.6634; Accuracy: 0.5120; Precision: 0.5155; Recall: 0.9304; ROC AUC: 0.4973
+[2024-05-21 16:59:02,066 INFO] Epoch:1, Snapshot:54; F1: 0.6394; Accuracy: 0.4880; Precision: 0.4789; Recall: 0.9619; ROC AUC: 0.5131
+[2024-05-21 16:59:02,926 INFO] Epoch:1, Snapshot:55; F1: 0.6820; Accuracy: 0.5300; Precision: 0.5333; Recall: 0.9456; ROC AUC: 0.5006
+[2024-05-21 16:59:03,786 INFO] Epoch:1, Snapshot:56; F1: 0.6671; Accuracy: 0.5170; Precision: 0.5165; Recall: 0.9416; ROC AUC: 0.5048
+[2024-05-21 16:59:04,552 INFO] Epoch:1, Snapshot:57; F1: 0.6539; Accuracy: 0.4950; Precision: 0.5037; Recall: 0.9316; ROC AUC: 0.4843
+[2024-05-21 16:59:05,349 INFO] Epoch:1, Snapshot:58; F1: 0.6505; Accuracy: 0.4960; Precision: 0.4963; Recall: 0.9437; ROC AUC: 0.4987
+[2024-05-21 16:59:06,286 INFO] Epoch:1, Snapshot:59; F1: 0.6803; Accuracy: 0.5300; Precision: 0.5353; Recall: 0.9328; ROC AUC: 0.4987
+[2024-05-21 16:59:07,130 INFO] Epoch:1, Snapshot:60; F1: 0.6671; Accuracy: 0.5190; Precision: 0.5144; Recall: 0.9488; ROC AUC: 0.5120
+[2024-05-21 16:59:08,130 INFO] Epoch:1, Snapshot:61; F1: 0.6429; Accuracy: 0.4900; Precision: 0.4852; Recall: 0.9523; ROC AUC: 0.5061
+[2024-05-21 16:59:09,146 INFO] Epoch:1, Snapshot:62; F1: 0.6448; Accuracy: 0.4920; Precision: 0.4858; Recall: 0.9584; ROC AUC: 0.5091
+[2024-05-21 16:59:10,178 INFO] Epoch:1, Snapshot:63; F1: 0.6639; Accuracy: 0.5110; Precision: 0.5079; Recall: 0.9583; ROC AUC: 0.5074
+[2024-05-21 16:59:11,131 INFO] Epoch:1, Snapshot:64; F1: 0.6308; Accuracy: 0.4790; Precision: 0.4729; Recall: 0.9468; ROC AUC: 0.5055
+[2024-05-21 16:59:12,007 INFO] Epoch:1, Snapshot:65; F1: 0.6267; Accuracy: 0.4710; Precision: 0.4684; Recall: 0.9467; ROC AUC: 0.4988
+[2024-05-21 16:59:12,960 INFO] Epoch:1, Snapshot:66; F1: 0.6929; Accuracy: 0.5390; Precision: 0.5526; Recall: 0.9286; ROC AUC: 0.4859
+[2024-05-21 16:59:13,851 INFO] Epoch:1, Snapshot:67; F1: 0.6495; Accuracy: 0.4960; Precision: 0.4979; Recall: 0.9340; ROC AUC: 0.4960
+[2024-05-21 16:59:14,633 INFO] Epoch:1, Snapshot:68; F1: 0.6353; Accuracy: 0.4800; Precision: 0.4799; Recall: 0.9398; ROC AUC: 0.4960
+[2024-05-21 16:59:15,492 INFO] Epoch:1, Snapshot:69; F1: 0.6411; Accuracy: 0.4860; Precision: 0.4873; Recall: 0.9367; ROC AUC: 0.4948
+[2024-05-21 16:59:16,399 INFO] Epoch:1, Snapshot:70; F1: 0.6758; Accuracy: 0.5290; Precision: 0.5291; Recall: 0.9352; ROC AUC: 0.5076
+[2024-05-21 16:59:17,258 INFO] Epoch:1, Snapshot:71; F1: 0.6485; Accuracy: 0.4960; Precision: 0.4936; Recall: 0.9451; ROC AUC: 0.5031
+[2024-05-21 16:59:18,133 INFO] Epoch:1, Snapshot:72; F1: 0.6362; Accuracy: 0.4820; Precision: 0.4748; Recall: 0.9638; ROC AUC: 0.5093
+[2024-05-21 16:59:18,821 INFO] Epoch:1, Snapshot:73; F1: 0.5893; Accuracy: 0.4340; Precision: 0.4278; Recall: 0.9464; ROC AUC: 0.4977
+[2024-05-21 16:59:19,603 INFO] Epoch:1, Snapshot:74; F1: 0.6053; Accuracy: 0.4510; Precision: 0.4446; Recall: 0.9482; ROC AUC: 0.5011
+[2024-05-21 16:59:20,462 INFO] Epoch:1, Snapshot:75; F1: 0.6214; Accuracy: 0.4700; Precision: 0.4633; Recall: 0.9436; ROC AUC: 0.5043
+[2024-05-21 16:59:21,275 INFO] Epoch:1, Snapshot:76; F1: 0.6381; Accuracy: 0.4840; Precision: 0.4830; Recall: 0.9401; ROC AUC: 0.4981
+[2024-05-21 16:59:22,181 INFO] Epoch:1, Snapshot:77; F1: 0.6639; Accuracy: 0.5100; Precision: 0.5073; Recall: 0.9603; ROC AUC: 0.5064
+[2024-05-21 16:59:23,072 INFO] Epoch:1, Snapshot:78; F1: 0.6859; Accuracy: 0.5320; Precision: 0.5402; Recall: 0.9393; ROC AUC: 0.4927
+[2024-05-21 16:59:23,978 INFO] Epoch:1, Snapshot:79; F1: 0.6730; Accuracy: 0.5200; Precision: 0.5233; Recall: 0.9427; ROC AUC: 0.4987
+[2024-05-21 16:59:24,791 INFO] Epoch:1, Snapshot:80; F1: 0.6483; Accuracy: 0.4900; Precision: 0.4947; Recall: 0.9400; ROC AUC: 0.4900
+[2024-05-21 16:59:25,728 INFO] Epoch:1, Snapshot:81; F1: 0.6730; Accuracy: 0.5210; Precision: 0.5206; Recall: 0.9517; ROC AUC: 0.5049
+[2024-05-21 16:59:26,542 INFO] Epoch:1, Snapshot:82; F1: 0.6292; Accuracy: 0.4790; Precision: 0.4712; Recall: 0.9465; ROC AUC: 0.5079
+[2024-05-21 16:59:27,573 INFO] Epoch:1, Snapshot:83; F1: 0.6658; Accuracy: 0.5130; Precision: 0.5204; Recall: 0.9238; ROC AUC: 0.4914
+[2024-05-21 16:59:28,417 INFO] Epoch:1, Snapshot:84; F1: 0.6597; Accuracy: 0.5100; Precision: 0.5152; Recall: 0.9170; ROC AUC: 0.4948
+[2024-05-21 16:59:29,292 INFO] Epoch:1, Snapshot:85; F1: 0.6757; Accuracy: 0.5230; Precision: 0.5259; Recall: 0.9449; ROC AUC: 0.4999
+[2024-05-21 16:59:30,183 INFO] Epoch:1, Snapshot:86; F1: 0.6514; Accuracy: 0.4980; Precision: 0.5027; Recall: 0.9250; ROC AUC: 0.4919
+[2024-05-21 16:59:31,089 INFO] Epoch:1, Snapshot:87; F1: 0.6415; Accuracy: 0.4880; Precision: 0.4852; Recall: 0.9463; ROC AUC: 0.5022
+[2024-05-21 16:59:31,965 INFO] Epoch:1, Snapshot:88; F1: 0.6391; Accuracy: 0.4850; Precision: 0.4877; Recall: 0.9268; ROC AUC: 0.4920
+[2024-05-21 16:59:33,028 INFO] Epoch:1, Snapshot:89; F1: 0.6888; Accuracy: 0.5410; Precision: 0.5451; Recall: 0.9355; ROC AUC: 0.5039
+[2024-05-21 16:59:33,872 INFO] Epoch:1, Snapshot:90; F1: 0.6277; Accuracy: 0.4710; Precision: 0.4735; Recall: 0.9311; ROC AUC: 0.4895
+[2024-05-21 16:59:34,763 INFO] Epoch:1, Snapshot:91; F1: 0.6935; Accuracy: 0.5430; Precision: 0.5442; Recall: 0.9556; ROC AUC: 0.5061
+[2024-05-21 16:59:35,685 INFO] Epoch:1, Snapshot:92; F1: 0.6296; Accuracy: 0.4740; Precision: 0.4765; Recall: 0.9274; ROC AUC: 0.4898
+[2024-05-21 16:59:36,497 INFO] Epoch:1, Snapshot:93; F1: 0.6598; Accuracy: 0.5050; Precision: 0.5037; Recall: 0.9562; ROC AUC: 0.5032
+[2024-05-21 16:59:37,248 INFO] Epoch:1, Snapshot:94; F1: 0.6424; Accuracy: 0.4900; Precision: 0.4878; Recall: 0.9405; ROC AUC: 0.5014
+[2024-05-21 16:59:38,123 INFO] Epoch:1, Snapshot:95; F1: 0.6767; Accuracy: 0.5250; Precision: 0.5265; Recall: 0.9467; ROC AUC: 0.5028
+[2024-05-21 16:59:39,030 INFO] Epoch:1, Snapshot:96; F1: 0.6504; Accuracy: 0.4980; Precision: 0.4979; Recall: 0.9378; ROC AUC: 0.4998
+[2024-05-21 16:59:39,952 INFO] Epoch:1, Snapshot:97; F1: 0.6757; Accuracy: 0.5240; Precision: 0.5288; Recall: 0.9358; ROC AUC: 0.4977
+[2024-05-21 16:59:40,718 INFO] Epoch:1, Snapshot:98; F1: 0.6616; Accuracy: 0.5110; Precision: 0.5129; Recall: 0.9318; ROC AUC: 0.4998
+[2024-05-21 16:59:41,593 INFO] Epoch:1, Snapshot:99; F1: 0.6337; Accuracy: 0.4740; Precision: 0.4805; Recall: 0.9305; ROC AUC: 0.4838
+[2024-05-21 16:59:42,703 INFO] Epoch:1, Snapshot:100; F1: 0.6708; Accuracy: 0.5200; Precision: 0.5180; Recall: 0.9514; ROC AUC: 0.5076
+[2024-05-21 16:59:43,594 INFO] Epoch:1, Snapshot:101; F1: 0.6285; Accuracy: 0.4750; Precision: 0.4723; Recall: 0.9387; ROC AUC: 0.4988
+[2024-05-21 16:59:44,453 INFO] Epoch:1, Snapshot:102; F1: 0.6449; Accuracy: 0.4880; Precision: 0.4900; Recall: 0.9432; ROC AUC: 0.4943
+[2024-05-21 16:59:45,328 INFO] Epoch:1, Snapshot:103; F1: 0.6430; Accuracy: 0.4870; Precision: 0.4873; Recall: 0.9448; ROC AUC: 0.4969
+[2024-05-21 16:59:46,141 INFO] Epoch:1, Snapshot:104; F1: 0.6386; Accuracy: 0.4850; Precision: 0.4825; Recall: 0.9440; ROC AUC: 0.5009
+[2024-05-21 16:59:47,032 INFO] Epoch:1, Snapshot:105; F1: 0.6007; Accuracy: 0.4470; Precision: 0.4416; Recall: 0.9391; ROC AUC: 0.4974
+[2024-05-21 16:59:47,985 INFO] Epoch:1, Snapshot:106; F1: 0.5972; Accuracy: 0.4470; Precision: 0.4343; Recall: 0.9557; ROC AUC: 0.5103
+[2024-05-21 16:59:48,845 INFO] Epoch:1, Snapshot:107; F1: 0.6373; Accuracy: 0.4900; Precision: 0.4843; Recall: 0.9314; ROC AUC: 0.5062
+[2024-05-21 16:59:49,830 INFO] Epoch:1, Snapshot:108; F1: 0.6731; Accuracy: 0.5230; Precision: 0.5179; Recall: 0.9609; ROC AUC: 0.5132
+[2024-05-21 16:59:50,736 INFO] Epoch:1, Snapshot:109; F1: 0.6527; Accuracy: 0.5020; Precision: 0.4979; Recall: 0.9474; ROC AUC: 0.5073
+[2024-05-21 16:59:51,580 INFO] Epoch:1, Snapshot:110; F1: 0.6510; Accuracy: 0.4940; Precision: 0.4968; Recall: 0.9440; ROC AUC: 0.4940
+[2024-05-21 16:59:52,424 INFO] Epoch:1, Snapshot:111; F1: 0.6208; Accuracy: 0.4650; Precision: 0.4665; Recall: 0.9280; ROC AUC: 0.4896
+[2024-05-21 16:59:53,487 INFO] Epoch:1, Snapshot:112; F1: 0.6579; Accuracy: 0.5060; Precision: 0.5053; Recall: 0.9425; ROC AUC: 0.5025
+[2024-05-21 16:59:54,363 INFO] Epoch:1, Snapshot:113; F1: 0.6323; Accuracy: 0.4720; Precision: 0.4789; Recall: 0.9303; ROC AUC: 0.4827
+[2024-05-21 16:59:55,441 INFO] Epoch:1, Snapshot:114; F1: 0.6784; Accuracy: 0.5260; Precision: 0.5280; Recall: 0.9488; ROC AUC: 0.5019
+[2024-05-21 16:59:56,504 INFO] Epoch:1, Snapshot:115; F1: 0.6353; Accuracy: 0.4810; Precision: 0.4768; Recall: 0.9516; ROC AUC: 0.5034
+[2024-05-21 16:59:57,504 INFO] Epoch:1, Snapshot:116; F1: 0.6514; Accuracy: 0.4970; Precision: 0.4947; Recall: 0.9533; ROC AUC: 0.5033
+[2024-05-21 16:59:58,520 INFO] Epoch:1, Snapshot:117; F1: 0.6415; Accuracy: 0.4870; Precision: 0.4806; Recall: 0.9643; ROC AUC: 0.5089
+[2024-05-21 16:59:59,489 INFO] Epoch:1, Snapshot:118; F1: 0.6716; Accuracy: 0.5160; Precision: 0.5200; Recall: 0.9483; ROC AUC: 0.4961
+[2024-05-21 17:00:00,458 INFO] Epoch:1, Snapshot:119; F1: 0.6431; Accuracy: 0.4860; Precision: 0.4874; Recall: 0.9449; ROC AUC: 0.4950
+[2024-05-21 17:00:01,474 INFO] Epoch:1, Snapshot:120; F1: 0.6319; Accuracy: 0.4770; Precision: 0.4792; Recall: 0.9277; ROC AUC: 0.4910
+[2024-05-21 17:00:02,428 INFO] Epoch:1, Snapshot:121; F1: 0.6480; Accuracy: 0.4980; Precision: 0.4973; Recall: 0.9296; ROC AUC: 0.5006
+[2024-05-21 17:00:03,334 INFO] Epoch:1, Snapshot:122; F1: 0.6874; Accuracy: 0.5380; Precision: 0.5404; Recall: 0.9442; ROC AUC: 0.5046
+[2024-05-21 17:00:04,319 INFO] Epoch:1, Snapshot:123; F1: 0.6363; Accuracy: 0.4810; Precision: 0.4830; Recall: 0.9322; ROC AUC: 0.4924
+[2024-05-21 17:00:04,319 INFO] Epoch:1, Snapshot: 39; Loss: 0.7065
+[2024-05-21 17:00:11,366 INFO] Epoch:1, Snapshot:37; F1: 0.7181; Accuracy: 0.5620; Precision: 0.5671; Recall: 0.9789; ROC AUC: 0.4941
+[2024-05-21 17:00:12,211 INFO] Epoch:1, Snapshot:38; F1: 0.6989; Accuracy: 0.5390; Precision: 0.5404; Recall: 0.9889; ROC AUC: 0.4988
+[2024-05-21 17:00:12,929 INFO] Epoch:1, Snapshot:39; F1: 0.6398; Accuracy: 0.4730; Precision: 0.4723; Recall: 0.9915; ROC AUC: 0.5005
+[2024-05-21 17:00:13,757 INFO] Epoch:1, Snapshot:40; F1: 0.6808; Accuracy: 0.5170; Precision: 0.5192; Recall: 0.9885; ROC AUC: 0.4963
+[2024-05-21 17:00:14,546 INFO] Epoch:1, Snapshot:41; F1: 0.6328; Accuracy: 0.4650; Precision: 0.4690; Recall: 0.9726; ROC AUC: 0.4901
+[2024-05-21 17:00:15,373 INFO] Epoch:1, Snapshot:42; F1: 0.6522; Accuracy: 0.4880; Precision: 0.4853; Recall: 0.9938; ROC AUC: 0.5046
+[2024-05-21 17:00:16,154 INFO] Epoch:1, Snapshot:43; F1: 0.6262; Accuracy: 0.4580; Precision: 0.4586; Recall: 0.9870; ROC AUC: 0.4972
+[2024-05-21 17:00:16,967 INFO] Epoch:1, Snapshot:44; F1: 0.7028; Accuracy: 0.5450; Precision: 0.5434; Recall: 0.9945; ROC AUC: 0.5049
+[2024-05-21 17:00:17,827 INFO] Epoch:1, Snapshot:45; F1: 0.6963; Accuracy: 0.5350; Precision: 0.5368; Recall: 0.9907; ROC AUC: 0.4975
+[2024-05-21 17:00:18,733 INFO] Epoch:1, Snapshot:46; F1: 0.6693; Accuracy: 0.5060; Precision: 0.5045; Recall: 0.9940; ROC AUC: 0.5031
+[2024-05-21 17:00:19,513 INFO] Epoch:1, Snapshot:47; F1: 0.6397; Accuracy: 0.4740; Precision: 0.4722; Recall: 0.9915; ROC AUC: 0.5024
+[2024-05-21 17:00:20,467 INFO] Epoch:1, Snapshot:48; F1: 0.6397; Accuracy: 0.4740; Precision: 0.4727; Recall: 0.9894; ROC AUC: 0.5013
+[2024-05-21 17:00:21,404 INFO] Epoch:1, Snapshot:49; F1: 0.6769; Accuracy: 0.5150; Precision: 0.5126; Recall: 0.9961; ROC AUC: 0.5052
+[2024-05-21 17:00:22,264 INFO] Epoch:1, Snapshot:50; F1: 0.6337; Accuracy: 0.4670; Precision: 0.4661; Recall: 0.9893; ROC AUC: 0.5003
+[2024-05-21 17:00:23,141 INFO] Epoch:1, Snapshot:51; F1: 0.6518; Accuracy: 0.4850; Precision: 0.4869; Recall: 0.9857; ROC AUC: 0.4958
+[2024-05-21 17:00:24,017 INFO] Epoch:1, Snapshot:52; F1: 0.6773; Accuracy: 0.5130; Precision: 0.5146; Recall: 0.9903; ROC AUC: 0.4972
+[2024-05-21 17:00:24,898 INFO] Epoch:1, Snapshot:53; F1: 0.6830; Accuracy: 0.5210; Precision: 0.5191; Recall: 0.9981; ROC AUC: 0.5042
+[2024-05-21 17:00:25,724 INFO] Epoch:1, Snapshot:54; F1: 0.6355; Accuracy: 0.4700; Precision: 0.4705; Recall: 0.9788; ROC AUC: 0.4970
+[2024-05-21 17:00:26,557 INFO] Epoch:1, Snapshot:55; F1: 0.6912; Accuracy: 0.5300; Precision: 0.5319; Recall: 0.9869; ROC AUC: 0.4977
+[2024-05-21 17:00:27,432 INFO] Epoch:1, Snapshot:56; F1: 0.6760; Accuracy: 0.5140; Precision: 0.5142; Recall: 0.9864; ROC AUC: 0.5004
+[2024-05-21 17:00:28,199 INFO] Epoch:1, Snapshot:57; F1: 0.6760; Accuracy: 0.5120; Precision: 0.5121; Recall: 0.9941; ROC AUC: 0.5001
+[2024-05-21 17:00:29,027 INFO] Epoch:1, Snapshot:58; F1: 0.6599; Accuracy: 0.4950; Precision: 0.4960; Recall: 0.9859; ROC AUC: 0.4979
+[2024-05-21 17:00:29,965 INFO] Epoch:1, Snapshot:59; F1: 0.6933; Accuracy: 0.5320; Precision: 0.5343; Recall: 0.9869; ROC AUC: 0.4967
+[2024-05-21 17:00:30,809 INFO] Epoch:1, Snapshot:60; F1: 0.6725; Accuracy: 0.5100; Precision: 0.5091; Recall: 0.9902; ROC AUC: 0.5022
+[2024-05-21 17:00:31,793 INFO] Epoch:1, Snapshot:61; F1: 0.6467; Accuracy: 0.4810; Precision: 0.4813; Recall: 0.9855; ROC AUC: 0.4985
+[2024-05-21 17:00:32,794 INFO] Epoch:1, Snapshot:62; F1: 0.6481; Accuracy: 0.4820; Precision: 0.4813; Recall: 0.9917; ROC AUC: 0.5007
+[2024-05-21 17:00:33,826 INFO] Epoch:1, Snapshot:63; F1: 0.6671; Accuracy: 0.5020; Precision: 0.5030; Recall: 0.9901; ROC AUC: 0.4981
+[2024-05-21 17:00:34,763 INFO] Epoch:1, Snapshot:64; F1: 0.6393; Accuracy: 0.4720; Precision: 0.4708; Recall: 0.9957; ROC AUC: 0.5016
+[2024-05-21 17:00:35,639 INFO] Epoch:1, Snapshot:65; F1: 0.6360; Accuracy: 0.4700; Precision: 0.4691; Recall: 0.9872; ROC AUC: 0.5002
+[2024-05-21 17:00:36,623 INFO] Epoch:1, Snapshot:66; F1: 0.7131; Accuracy: 0.5550; Precision: 0.5580; Recall: 0.9875; ROC AUC: 0.4960
+[2024-05-21 17:00:37,483 INFO] Epoch:1, Snapshot:67; F1: 0.6631; Accuracy: 0.4990; Precision: 0.4995; Recall: 0.9860; ROC AUC: 0.4990
+[2024-05-21 17:00:38,281 INFO] Epoch:1, Snapshot:68; F1: 0.6445; Accuracy: 0.4770; Precision: 0.4793; Recall: 0.9834; ROC AUC: 0.4946
+[2024-05-21 17:00:39,156 INFO] Epoch:1, Snapshot:69; F1: 0.6531; Accuracy: 0.4880; Precision: 0.4888; Recall: 0.9837; ROC AUC: 0.4977
+[2024-05-21 17:00:40,078 INFO] Epoch:1, Snapshot:70; F1: 0.6830; Accuracy: 0.5220; Precision: 0.5239; Recall: 0.9810; ROC AUC: 0.4978
+[2024-05-21 17:00:40,953 INFO] Epoch:1, Snapshot:71; F1: 0.6568; Accuracy: 0.4920; Precision: 0.4919; Recall: 0.9878; ROC AUC: 0.4998
+[2024-05-21 17:00:41,813 INFO] Epoch:1, Snapshot:72; F1: 0.6369; Accuracy: 0.4710; Precision: 0.4701; Recall: 0.9872; ROC AUC: 0.5002
+[2024-05-21 17:00:42,501 INFO] Epoch:1, Snapshot:73; F1: 0.5966; Accuracy: 0.4280; Precision: 0.4277; Recall: 0.9860; ROC AUC: 0.4974
+[2024-05-21 17:00:43,298 INFO] Epoch:1, Snapshot:74; F1: 0.6131; Accuracy: 0.4460; Precision: 0.4443; Recall: 0.9887; ROC AUC: 0.5007
+[2024-05-21 17:00:44,142 INFO] Epoch:1, Snapshot:75; F1: 0.6290; Accuracy: 0.4620; Precision: 0.4611; Recall: 0.9892; ROC AUC: 0.5001
+[2024-05-21 17:00:44,924 INFO] Epoch:1, Snapshot:76; F1: 0.6522; Accuracy: 0.4880; Precision: 0.4858; Recall: 0.9917; ROC AUC: 0.5036
+[2024-05-21 17:00:45,846 INFO] Epoch:1, Snapshot:77; F1: 0.6676; Accuracy: 0.5030; Precision: 0.5035; Recall: 0.9901; ROC AUC: 0.4991
+[2024-05-21 17:00:46,737 INFO] Epoch:1, Snapshot:78; F1: 0.6997; Accuracy: 0.5400; Precision: 0.5425; Recall: 0.9853; ROC AUC: 0.4970
+[2024-05-21 17:00:47,628 INFO] Epoch:1, Snapshot:79; F1: 0.6816; Accuracy: 0.5180; Precision: 0.5212; Recall: 0.9847; ROC AUC: 0.4945
+[2024-05-21 17:00:48,456 INFO] Epoch:1, Snapshot:80; F1: 0.6680; Accuracy: 0.5050; Precision: 0.5025; Recall: 0.9960; ROC AUC: 0.5050
+[2024-05-21 17:00:49,410 INFO] Epoch:1, Snapshot:81; F1: 0.6817; Accuracy: 0.5190; Precision: 0.5186; Recall: 0.9942; ROC AUC: 0.5013
+[2024-05-21 17:00:50,269 INFO] Epoch:1, Snapshot:82; F1: 0.6351; Accuracy: 0.4690; Precision: 0.4676; Recall: 0.9893; ROC AUC: 0.5012
+[2024-05-21 17:00:51,332 INFO] Epoch:1, Snapshot:83; F1: 0.6869; Accuracy: 0.5260; Precision: 0.5258; Recall: 0.9905; ROC AUC: 0.5016
+[2024-05-21 17:00:52,161 INFO] Epoch:1, Snapshot:84; F1: 0.6799; Accuracy: 0.5170; Precision: 0.5177; Recall: 0.9903; ROC AUC: 0.4993
+[2024-05-21 17:00:53,005 INFO] Epoch:1, Snapshot:85; F1: 0.6856; Accuracy: 0.5230; Precision: 0.5247; Recall: 0.9886; ROC AUC: 0.4975
+[2024-05-21 17:00:53,864 INFO] Epoch:1, Snapshot:86; F1: 0.6716; Accuracy: 0.5100; Precision: 0.5086; Recall: 0.9882; ROC AUC: 0.5032
+[2024-05-21 17:00:54,787 INFO] Epoch:1, Snapshot:87; F1: 0.6514; Accuracy: 0.4840; Precision: 0.4839; Recall: 0.9959; ROC AUC: 0.4999
+[2024-05-21 17:00:55,662 INFO] Epoch:1, Snapshot:88; F1: 0.6595; Accuracy: 0.4960; Precision: 0.4939; Recall: 0.9919; ROC AUC: 0.5038
+[2024-05-21 17:00:56,678 INFO] Epoch:1, Snapshot:89; F1: 0.7050; Accuracy: 0.5480; Precision: 0.5460; Recall: 0.9945; ROC AUC: 0.5060
+[2024-05-21 17:00:57,490 INFO] Epoch:1, Snapshot:90; F1: 0.6435; Accuracy: 0.4760; Precision: 0.4773; Recall: 0.9875; ROC AUC: 0.4966
+[2024-05-21 17:00:58,413 INFO] Epoch:1, Snapshot:91; F1: 0.7007; Accuracy: 0.5420; Precision: 0.5420; Recall: 0.9908; ROC AUC: 0.5019
+[2024-05-21 17:00:59,257 INFO] Epoch:1, Snapshot:92; F1: 0.6440; Accuracy: 0.4760; Precision: 0.4788; Recall: 0.9834; ROC AUC: 0.4936
+[2024-05-21 17:01:00,101 INFO] Epoch:1, Snapshot:93; F1: 0.6662; Accuracy: 0.5010; Precision: 0.5015; Recall: 0.9920; ROC AUC: 0.4990
+[2024-05-21 17:01:00,882 INFO] Epoch:1, Snapshot:94; F1: 0.6550; Accuracy: 0.4890; Precision: 0.4879; Recall: 0.9959; ROC AUC: 0.5018
+[2024-05-21 17:01:01,757 INFO] Epoch:1, Snapshot:95; F1: 0.6865; Accuracy: 0.5250; Precision: 0.5253; Recall: 0.9905; ROC AUC: 0.5005
+[2024-05-21 17:01:02,664 INFO] Epoch:1, Snapshot:96; F1: 0.6640; Accuracy: 0.5000; Precision: 0.4990; Recall: 0.9920; ROC AUC: 0.5020
+[2024-05-21 17:01:03,602 INFO] Epoch:1, Snapshot:97; F1: 0.6900; Accuracy: 0.5300; Precision: 0.5304; Recall: 0.9868; ROC AUC: 0.5008
+[2024-05-21 17:01:04,336 INFO] Epoch:1, Snapshot:98; F1: 0.6720; Accuracy: 0.5080; Precision: 0.5106; Recall: 0.9825; ROC AUC: 0.4953
+[2024-05-21 17:01:05,212 INFO] Epoch:1, Snapshot:99; F1: 0.6540; Accuracy: 0.4890; Precision: 0.4889; Recall: 0.9877; ROC AUC: 0.4997
+[2024-05-21 17:01:06,306 INFO] Epoch:1, Snapshot:100; F1: 0.6764; Accuracy: 0.5130; Precision: 0.5136; Recall: 0.9903; ROC AUC: 0.4993
+[2024-05-21 17:01:07,165 INFO] Epoch:1, Snapshot:101; F1: 0.6366; Accuracy: 0.4680; Precision: 0.4702; Recall: 0.9852; ROC AUC: 0.4945
+[2024-05-21 17:01:08,041 INFO] Epoch:1, Snapshot:102; F1: 0.6613; Accuracy: 0.4950; Precision: 0.4940; Recall: 1.0000; ROC AUC: 0.5020
+[2024-05-21 17:01:08,901 INFO] Epoch:1, Snapshot:103; F1: 0.6572; Accuracy: 0.4920; Precision: 0.4904; Recall: 0.9959; ROC AUC: 0.5028
+[2024-05-21 17:01:09,682 INFO] Epoch:1, Snapshot:104; F1: 0.6477; Accuracy: 0.4800; Precision: 0.4809; Recall: 0.9917; ROC AUC: 0.4978
+[2024-05-21 17:01:10,604 INFO] Epoch:1, Snapshot:105; F1: 0.6138; Accuracy: 0.4450; Precision: 0.4437; Recall: 0.9955; ROC AUC: 0.5013
+[2024-05-21 17:01:11,558 INFO] Epoch:1, Snapshot:106; F1: 0.5992; Accuracy: 0.4300; Precision: 0.4290; Recall: 0.9930; ROC AUC: 0.5000
+[2024-05-21 17:01:12,449 INFO] Epoch:1, Snapshot:107; F1: 0.6495; Accuracy: 0.4840; Precision: 0.4823; Recall: 0.9938; ROC AUC: 0.5027
+[2024-05-21 17:01:13,450 INFO] Epoch:1, Snapshot:108; F1: 0.6769; Accuracy: 0.5140; Precision: 0.5126; Recall: 0.9961; ROC AUC: 0.5032
+[2024-05-21 17:01:14,372 INFO] Epoch:1, Snapshot:109; F1: 0.6590; Accuracy: 0.4940; Precision: 0.4939; Recall: 0.9899; ROC AUC: 0.4999
+[2024-05-21 17:01:15,215 INFO] Epoch:1, Snapshot:110; F1: 0.6680; Accuracy: 0.5050; Precision: 0.5025; Recall: 0.9960; ROC AUC: 0.5050
+[2024-05-21 17:01:16,044 INFO] Epoch:1, Snapshot:111; F1: 0.6399; Accuracy: 0.4710; Precision: 0.4714; Recall: 0.9958; ROC AUC: 0.4988
+[2024-05-21 17:01:17,106 INFO] Epoch:1, Snapshot:112; F1: 0.6658; Accuracy: 0.5030; Precision: 0.5036; Recall: 0.9821; ROC AUC: 0.4991
+[2024-05-21 17:01:17,982 INFO] Epoch:1, Snapshot:113; F1: 0.6540; Accuracy: 0.4890; Precision: 0.4884; Recall: 0.9898; ROC AUC: 0.5007
+[2024-05-21 17:01:19,092 INFO] Epoch:1, Snapshot:114; F1: 0.6899; Accuracy: 0.5290; Precision: 0.5282; Recall: 0.9943; ROC AUC: 0.5024
+[2024-05-21 17:01:20,139 INFO] Epoch:1, Snapshot:115; F1: 0.6440; Accuracy: 0.4770; Precision: 0.4759; Recall: 0.9958; ROC AUC: 0.5017
+[2024-05-21 17:01:21,108 INFO] Epoch:1, Snapshot:116; F1: 0.6590; Accuracy: 0.4940; Precision: 0.4934; Recall: 0.9919; ROC AUC: 0.5009
+[2024-05-21 17:01:22,218 INFO] Epoch:1, Snapshot:117; F1: 0.6407; Accuracy: 0.4740; Precision: 0.4747; Recall: 0.9853; ROC AUC: 0.4974
+[2024-05-21 17:01:23,188 INFO] Epoch:1, Snapshot:118; F1: 0.6843; Accuracy: 0.5220; Precision: 0.5222; Recall: 0.9923; ROC AUC: 0.5004
+[2024-05-21 17:01:24,188 INFO] Epoch:1, Snapshot:119; F1: 0.6499; Accuracy: 0.4840; Precision: 0.4868; Recall: 0.9776; ROC AUC: 0.4937
+[2024-05-21 17:01:25,173 INFO] Epoch:1, Snapshot:120; F1: 0.6495; Accuracy: 0.4830; Precision: 0.4834; Recall: 0.9897; ROC AUC: 0.4987
+[2024-05-21 17:01:26,142 INFO] Epoch:1, Snapshot:121; F1: 0.6622; Accuracy: 0.4990; Precision: 0.4980; Recall: 0.9879; ROC AUC: 0.5019
+[2024-05-21 17:01:27,017 INFO] Epoch:1, Snapshot:122; F1: 0.7006; Accuracy: 0.5410; Precision: 0.5397; Recall: 0.9981; ROC AUC: 0.5034
+[2024-05-21 17:01:28,001 INFO] Epoch:1, Snapshot:123; F1: 0.6545; Accuracy: 0.4900; Precision: 0.4884; Recall: 0.9918; ROC AUC: 0.5027
+[2024-05-21 17:01:28,021 INFO] Epoch:1, Snapshot: 40; Loss: 0.7109
+[2024-05-21 17:01:34,940 INFO] Epoch:1, Snapshot:37; F1: 0.7230; Accuracy: 0.5670; Precision: 0.5690; Recall: 0.9912; ROC AUC: 0.4979
+[2024-05-21 17:01:35,799 INFO] Epoch:1, Snapshot:38; F1: 0.7003; Accuracy: 0.5430; Precision: 0.5427; Recall: 0.9871; ROC AUC: 0.5033
+[2024-05-21 17:01:36,503 INFO] Epoch:1, Snapshot:39; F1: 0.6384; Accuracy: 0.4710; Precision: 0.4712; Recall: 0.9894; ROC AUC: 0.4985
+[2024-05-21 17:01:37,300 INFO] Epoch:1, Snapshot:40; F1: 0.6852; Accuracy: 0.5250; Precision: 0.5233; Recall: 0.9923; ROC AUC: 0.5045
+[2024-05-21 17:01:38,054 INFO] Epoch:1, Snapshot:41; F1: 0.6425; Accuracy: 0.4780; Precision: 0.4757; Recall: 0.9895; ROC AUC: 0.5033
+[2024-05-21 17:01:38,879 INFO] Epoch:1, Snapshot:42; F1: 0.6494; Accuracy: 0.4850; Precision: 0.4838; Recall: 0.9876; ROC AUC: 0.5015
+[2024-05-21 17:01:39,661 INFO] Epoch:1, Snapshot:43; F1: 0.6243; Accuracy: 0.4560; Precision: 0.4575; Recall: 0.9826; ROC AUC: 0.4950
+[2024-05-21 17:01:40,473 INFO] Epoch:1, Snapshot:44; F1: 0.6997; Accuracy: 0.5400; Precision: 0.5409; Recall: 0.9908; ROC AUC: 0.4997
+[2024-05-21 17:01:41,333 INFO] Epoch:1, Snapshot:45; F1: 0.6985; Accuracy: 0.5390; Precision: 0.5388; Recall: 0.9926; ROC AUC: 0.5017
+[2024-05-21 17:01:42,239 INFO] Epoch:1, Snapshot:46; F1: 0.6640; Accuracy: 0.4980; Precision: 0.5005; Recall: 0.9861; ROC AUC: 0.4951
+[2024-05-21 17:01:42,989 INFO] Epoch:1, Snapshot:47; F1: 0.6402; Accuracy: 0.4750; Precision: 0.4727; Recall: 0.9915; ROC AUC: 0.5033
+[2024-05-21 17:01:43,927 INFO] Epoch:1, Snapshot:48; F1: 0.6393; Accuracy: 0.4730; Precision: 0.4722; Recall: 0.9894; ROC AUC: 0.5004
+[2024-05-21 17:01:44,802 INFO] Epoch:1, Snapshot:49; F1: 0.6738; Accuracy: 0.5100; Precision: 0.5101; Recall: 0.9922; ROC AUC: 0.5002
+[2024-05-21 17:01:45,614 INFO] Epoch:1, Snapshot:50; F1: 0.6346; Accuracy: 0.4680; Precision: 0.4667; Recall: 0.9914; ROC AUC: 0.5013
+[2024-05-21 17:01:46,474 INFO] Epoch:1, Snapshot:51; F1: 0.6549; Accuracy: 0.4910; Precision: 0.4899; Recall: 0.9877; ROC AUC: 0.5017
+[2024-05-21 17:01:47,286 INFO] Epoch:1, Snapshot:52; F1: 0.6768; Accuracy: 0.5130; Precision: 0.5146; Recall: 0.9884; ROC AUC: 0.4973
+[2024-05-21 17:01:48,177 INFO] Epoch:1, Snapshot:53; F1: 0.6794; Accuracy: 0.5150; Precision: 0.5161; Recall: 0.9942; ROC AUC: 0.4981
+[2024-05-21 17:01:48,990 INFO] Epoch:1, Snapshot:54; F1: 0.6415; Accuracy: 0.4770; Precision: 0.4742; Recall: 0.9915; ROC AUC: 0.5043
+[2024-05-21 17:01:49,881 INFO] Epoch:1, Snapshot:55; F1: 0.6917; Accuracy: 0.5310; Precision: 0.5324; Recall: 0.9869; ROC AUC: 0.4988
+[2024-05-21 17:01:50,741 INFO] Epoch:1, Snapshot:56; F1: 0.6742; Accuracy: 0.5100; Precision: 0.5121; Recall: 0.9864; ROC AUC: 0.4963
+[2024-05-21 17:01:51,507 INFO] Epoch:1, Snapshot:57; F1: 0.6724; Accuracy: 0.5080; Precision: 0.5101; Recall: 0.9863; ROC AUC: 0.4962
+[2024-05-21 17:01:52,304 INFO] Epoch:1, Snapshot:58; F1: 0.6599; Accuracy: 0.4950; Precision: 0.4960; Recall: 0.9859; ROC AUC: 0.4979
+[2024-05-21 17:01:53,257 INFO] Epoch:1, Snapshot:59; F1: 0.6959; Accuracy: 0.5350; Precision: 0.5358; Recall: 0.9925; ROC AUC: 0.4995
+[2024-05-21 17:01:54,148 INFO] Epoch:1, Snapshot:60; F1: 0.6765; Accuracy: 0.5150; Precision: 0.5116; Recall: 0.9980; ROC AUC: 0.5071
+[2024-05-21 17:01:55,148 INFO] Epoch:1, Snapshot:61; F1: 0.6458; Accuracy: 0.4790; Precision: 0.4803; Recall: 0.9855; ROC AUC: 0.4966
+[2024-05-21 17:01:56,148 INFO] Epoch:1, Snapshot:62; F1: 0.6491; Accuracy: 0.4820; Precision: 0.4814; Recall: 0.9958; ROC AUC: 0.5008
+[2024-05-21 17:01:57,258 INFO] Epoch:1, Snapshot:63; F1: 0.6716; Accuracy: 0.5090; Precision: 0.5066; Recall: 0.9960; ROC AUC: 0.5051
+[2024-05-21 17:01:58,196 INFO] Epoch:1, Snapshot:64; F1: 0.6416; Accuracy: 0.4760; Precision: 0.4728; Recall: 0.9979; ROC AUC: 0.5055
+[2024-05-21 17:01:59,055 INFO] Epoch:1, Snapshot:65; F1: 0.6357; Accuracy: 0.4670; Precision: 0.4678; Recall: 0.9915; ROC AUC: 0.4976
+[2024-05-21 17:02:00,056 INFO] Epoch:1, Snapshot:66; F1: 0.7119; Accuracy: 0.5540; Precision: 0.5577; Recall: 0.9839; ROC AUC: 0.4954
+[2024-05-21 17:02:00,869 INFO] Epoch:1, Snapshot:67; F1: 0.6653; Accuracy: 0.5010; Precision: 0.5005; Recall: 0.9920; ROC AUC: 0.5010
+[2024-05-21 17:02:01,650 INFO] Epoch:1, Snapshot:68; F1: 0.6513; Accuracy: 0.4870; Precision: 0.4843; Recall: 0.9938; ROC AUC: 0.5046
+[2024-05-21 17:02:02,510 INFO] Epoch:1, Snapshot:69; F1: 0.6558; Accuracy: 0.4920; Precision: 0.4909; Recall: 0.9878; ROC AUC: 0.5017
+[2024-05-21 17:02:03,401 INFO] Epoch:1, Snapshot:70; F1: 0.6852; Accuracy: 0.5240; Precision: 0.5248; Recall: 0.9867; ROC AUC: 0.4996
+[2024-05-21 17:02:04,229 INFO] Epoch:1, Snapshot:71; F1: 0.6581; Accuracy: 0.4920; Precision: 0.4920; Recall: 0.9939; ROC AUC: 0.4999
+[2024-05-21 17:02:05,073 INFO] Epoch:1, Snapshot:72; F1: 0.6397; Accuracy: 0.4740; Precision: 0.4717; Recall: 0.9936; ROC AUC: 0.5034
+[2024-05-21 17:02:05,761 INFO] Epoch:1, Snapshot:73; F1: 0.5989; Accuracy: 0.4280; Precision: 0.4283; Recall: 0.9953; ROC AUC: 0.4985
+[2024-05-21 17:02:06,542 INFO] Epoch:1, Snapshot:74; F1: 0.6117; Accuracy: 0.4440; Precision: 0.4433; Recall: 0.9865; ROC AUC: 0.4986
+[2024-05-21 17:02:07,339 INFO] Epoch:1, Snapshot:75; F1: 0.6327; Accuracy: 0.4670; Precision: 0.4636; Recall: 0.9957; ROC AUC: 0.5053
+[2024-05-21 17:02:08,105 INFO] Epoch:1, Snapshot:76; F1: 0.6490; Accuracy: 0.4830; Precision: 0.4833; Recall: 0.9876; ROC AUC: 0.4986
+[2024-05-21 17:02:09,043 INFO] Epoch:1, Snapshot:77; F1: 0.6693; Accuracy: 0.5040; Precision: 0.5040; Recall: 0.9960; ROC AUC: 0.5000
+[2024-05-21 17:02:09,965 INFO] Epoch:1, Snapshot:78; F1: 0.7016; Accuracy: 0.5450; Precision: 0.5454; Recall: 0.9835; ROC AUC: 0.5027
+[2024-05-21 17:02:10,841 INFO] Epoch:1, Snapshot:79; F1: 0.6821; Accuracy: 0.5190; Precision: 0.5217; Recall: 0.9847; ROC AUC: 0.4955
+[2024-05-21 17:02:11,669 INFO] Epoch:1, Snapshot:80; F1: 0.6622; Accuracy: 0.4980; Precision: 0.4990; Recall: 0.9840; ROC AUC: 0.4980
+[2024-05-21 17:02:12,607 INFO] Epoch:1, Snapshot:81; F1: 0.6773; Accuracy: 0.5140; Precision: 0.5162; Recall: 0.9846; ROC AUC: 0.4964
+[2024-05-21 17:02:13,419 INFO] Epoch:1, Snapshot:82; F1: 0.6333; Accuracy: 0.4650; Precision: 0.4657; Recall: 0.9893; ROC AUC: 0.4975
+[2024-05-21 17:02:14,420 INFO] Epoch:1, Snapshot:83; F1: 0.6856; Accuracy: 0.5240; Precision: 0.5248; Recall: 0.9886; ROC AUC: 0.4995
+[2024-05-21 17:02:15,249 INFO] Epoch:1, Snapshot:84; F1: 0.6799; Accuracy: 0.5160; Precision: 0.5171; Recall: 0.9923; ROC AUC: 0.4982
+[2024-05-21 17:02:16,093 INFO] Epoch:1, Snapshot:85; F1: 0.6891; Accuracy: 0.5290; Precision: 0.5278; Recall: 0.9924; ROC AUC: 0.5036
+[2024-05-21 17:02:16,984 INFO] Epoch:1, Snapshot:86; F1: 0.6698; Accuracy: 0.5060; Precision: 0.5066; Recall: 0.9882; ROC AUC: 0.4992
+[2024-05-21 17:02:17,859 INFO] Epoch:1, Snapshot:87; F1: 0.6549; Accuracy: 0.4920; Precision: 0.4879; Recall: 0.9959; ROC AUC: 0.5076
+[2024-05-21 17:02:18,719 INFO] Epoch:1, Snapshot:88; F1: 0.6554; Accuracy: 0.4900; Precision: 0.4909; Recall: 0.9858; ROC AUC: 0.4978
+[2024-05-21 17:02:19,735 INFO] Epoch:1, Snapshot:89; F1: 0.6976; Accuracy: 0.5380; Precision: 0.5411; Recall: 0.9816; ROC AUC: 0.4963
+[2024-05-21 17:02:20,501 INFO] Epoch:1, Snapshot:90; F1: 0.6463; Accuracy: 0.4800; Precision: 0.4793; Recall: 0.9916; ROC AUC: 0.5006
+[2024-05-21 17:02:21,423 INFO] Epoch:1, Snapshot:91; F1: 0.6946; Accuracy: 0.5340; Precision: 0.5381; Recall: 0.9797; ROC AUC: 0.4942
+[2024-05-21 17:02:22,314 INFO] Epoch:1, Snapshot:92; F1: 0.6462; Accuracy: 0.4810; Precision: 0.4812; Recall: 0.9834; ROC AUC: 0.4985
+[2024-05-21 17:02:23,159 INFO] Epoch:1, Snapshot:93; F1: 0.6667; Accuracy: 0.5010; Precision: 0.5015; Recall: 0.9940; ROC AUC: 0.4990
+[2024-05-21 17:02:23,909 INFO] Epoch:1, Snapshot:94; F1: 0.6522; Accuracy: 0.4870; Precision: 0.4868; Recall: 0.9877; ROC AUC: 0.4997
+[2024-05-21 17:02:24,769 INFO] Epoch:1, Snapshot:95; F1: 0.6865; Accuracy: 0.5260; Precision: 0.5258; Recall: 0.9886; ROC AUC: 0.5017
+[2024-05-21 17:02:25,675 INFO] Epoch:1, Snapshot:96; F1: 0.6658; Accuracy: 0.5010; Precision: 0.4995; Recall: 0.9980; ROC AUC: 0.5030
+[2024-05-21 17:02:26,597 INFO] Epoch:1, Snapshot:97; F1: 0.6843; Accuracy: 0.5220; Precision: 0.5264; Recall: 0.9774; ROC AUC: 0.4929
+[2024-05-21 17:02:27,394 INFO] Epoch:1, Snapshot:98; F1: 0.6751; Accuracy: 0.5120; Precision: 0.5126; Recall: 0.9883; ROC AUC: 0.4993
+[2024-05-21 17:02:28,238 INFO] Epoch:1, Snapshot:99; F1: 0.6490; Accuracy: 0.4830; Precision: 0.4858; Recall: 0.9775; ROC AUC: 0.4936
+[2024-05-21 17:02:29,363 INFO] Epoch:1, Snapshot:100; F1: 0.6742; Accuracy: 0.5100; Precision: 0.5121; Recall: 0.9864; ROC AUC: 0.4963
+[2024-05-21 17:02:30,223 INFO] Epoch:1, Snapshot:101; F1: 0.6398; Accuracy: 0.4720; Precision: 0.4723; Recall: 0.9915; ROC AUC: 0.4986
+[2024-05-21 17:02:31,082 INFO] Epoch:1, Snapshot:102; F1: 0.6581; Accuracy: 0.4920; Precision: 0.4924; Recall: 0.9919; ROC AUC: 0.4989
+[2024-05-21 17:02:31,926 INFO] Epoch:1, Snapshot:103; F1: 0.6495; Accuracy: 0.4820; Precision: 0.4853; Recall: 0.9816; ROC AUC: 0.4928
+[2024-05-21 17:02:32,739 INFO] Epoch:1, Snapshot:104; F1: 0.6467; Accuracy: 0.4800; Precision: 0.4808; Recall: 0.9876; ROC AUC: 0.4976
+[2024-05-21 17:02:33,693 INFO] Epoch:1, Snapshot:105; F1: 0.6092; Accuracy: 0.4420; Precision: 0.4416; Recall: 0.9819; ROC AUC: 0.4973
+[2024-05-21 17:02:34,630 INFO] Epoch:1, Snapshot:106; F1: 0.5987; Accuracy: 0.4290; Precision: 0.4286; Recall: 0.9930; ROC AUC: 0.4991
+[2024-05-21 17:02:35,537 INFO] Epoch:1, Snapshot:107; F1: 0.6459; Accuracy: 0.4780; Precision: 0.4794; Recall: 0.9896; ROC AUC: 0.4967
+[2024-05-21 17:02:36,553 INFO] Epoch:1, Snapshot:108; F1: 0.6716; Accuracy: 0.5070; Precision: 0.5091; Recall: 0.9863; ROC AUC: 0.4962
+[2024-05-21 17:02:37,459 INFO] Epoch:1, Snapshot:109; F1: 0.6586; Accuracy: 0.4930; Precision: 0.4934; Recall: 0.9899; ROC AUC: 0.4989
+[2024-05-21 17:02:38,272 INFO] Epoch:1, Snapshot:110; F1: 0.6644; Accuracy: 0.5000; Precision: 0.5000; Recall: 0.9900; ROC AUC: 0.5000
+[2024-05-21 17:02:39,116 INFO] Epoch:1, Snapshot:111; F1: 0.6394; Accuracy: 0.4710; Precision: 0.4714; Recall: 0.9936; ROC AUC: 0.4987
+[2024-05-21 17:02:40,179 INFO] Epoch:1, Snapshot:112; F1: 0.6698; Accuracy: 0.5060; Precision: 0.5050; Recall: 0.9940; ROC AUC: 0.5021
+[2024-05-21 17:02:41,070 INFO] Epoch:1, Snapshot:113; F1: 0.6558; Accuracy: 0.4910; Precision: 0.4894; Recall: 0.9939; ROC AUC: 0.5028
+[2024-05-21 17:02:42,149 INFO] Epoch:1, Snapshot:114; F1: 0.6894; Accuracy: 0.5270; Precision: 0.5271; Recall: 0.9962; ROC AUC: 0.5002
+[2024-05-21 17:02:43,195 INFO] Epoch:1, Snapshot:115; F1: 0.6411; Accuracy: 0.4760; Precision: 0.4751; Recall: 0.9853; ROC AUC: 0.5003
+[2024-05-21 17:02:44,196 INFO] Epoch:1, Snapshot:116; F1: 0.6545; Accuracy: 0.4900; Precision: 0.4914; Recall: 0.9797; ROC AUC: 0.4968
+[2024-05-21 17:02:45,227 INFO] Epoch:1, Snapshot:117; F1: 0.6421; Accuracy: 0.4760; Precision: 0.4757; Recall: 0.9874; ROC AUC: 0.4994
+[2024-05-21 17:02:46,228 INFO] Epoch:1, Snapshot:118; F1: 0.6825; Accuracy: 0.5200; Precision: 0.5212; Recall: 0.9885; ROC AUC: 0.4984
+[2024-05-21 17:02:47,212 INFO] Epoch:1, Snapshot:119; F1: 0.6595; Accuracy: 0.4950; Precision: 0.4924; Recall: 0.9980; ROC AUC: 0.5049
+[2024-05-21 17:02:48,181 INFO] Epoch:1, Snapshot:120; F1: 0.6490; Accuracy: 0.4830; Precision: 0.4833; Recall: 0.9876; ROC AUC: 0.4986
+[2024-05-21 17:02:49,135 INFO] Epoch:1, Snapshot:121; F1: 0.6608; Accuracy: 0.4950; Precision: 0.4960; Recall: 0.9899; ROC AUC: 0.4980
+[2024-05-21 17:02:50,090 INFO] Epoch:1, Snapshot:122; F1: 0.6988; Accuracy: 0.5380; Precision: 0.5382; Recall: 0.9963; ROC AUC: 0.5003
+[2024-05-21 17:02:51,089 INFO] Epoch:1, Snapshot:123; F1: 0.6554; Accuracy: 0.4890; Precision: 0.4880; Recall: 0.9979; ROC AUC: 0.5019
+[2024-05-21 17:02:51,089 INFO] Epoch:1, Snapshot: 41; Loss: 0.6980
+[2024-05-21 17:02:58,216 INFO] Epoch:1, Snapshot:37; F1: 0.7135; Accuracy: 0.5680; Precision: 0.5736; Recall: 0.9439; ROC AUC: 0.5068
+[2024-05-21 17:02:59,091 INFO] Epoch:1, Snapshot:38; F1: 0.6823; Accuracy: 0.5260; Precision: 0.5352; Recall: 0.9409; ROC AUC: 0.4889
+[2024-05-21 17:02:59,794 INFO] Epoch:1, Snapshot:39; F1: 0.6255; Accuracy: 0.4720; Precision: 0.4701; Recall: 0.9343; ROC AUC: 0.4965
+[2024-05-21 17:03:00,591 INFO] Epoch:1, Snapshot:40; F1: 0.6757; Accuracy: 0.5230; Precision: 0.5232; Recall: 0.9539; ROC AUC: 0.5041
+[2024-05-21 17:03:01,341 INFO] Epoch:1, Snapshot:41; F1: 0.6358; Accuracy: 0.4810; Precision: 0.4763; Recall: 0.9557; ROC AUC: 0.5045
+[2024-05-21 17:03:02,169 INFO] Epoch:1, Snapshot:42; F1: 0.6690; Accuracy: 0.5270; Precision: 0.5053; Recall: 0.9896; ROC AUC: 0.5422
+[2024-05-21 17:03:02,951 INFO] Epoch:1, Snapshot:43; F1: 0.6124; Accuracy: 0.4570; Precision: 0.4559; Recall: 0.9326; ROC AUC: 0.4922
+[2024-05-21 17:03:03,779 INFO] Epoch:1, Snapshot:44; F1: 0.6882; Accuracy: 0.5360; Precision: 0.5407; Recall: 0.9464; ROC AUC: 0.4993
+[2024-05-21 17:03:04,640 INFO] Epoch:1, Snapshot:45; F1: 0.6940; Accuracy: 0.5450; Precision: 0.5437; Recall: 0.9591; ROC AUC: 0.5109
+[2024-05-21 17:03:05,546 INFO] Epoch:1, Snapshot:46; F1: 0.6699; Accuracy: 0.5250; Precision: 0.5150; Recall: 0.9583; ROC AUC: 0.5224
+[2024-05-21 17:03:06,281 INFO] Epoch:1, Snapshot:47; F1: 0.6248; Accuracy: 0.4740; Precision: 0.4705; Recall: 0.9299; ROC AUC: 0.4990
+[2024-05-21 17:03:07,218 INFO] Epoch:1, Snapshot:48; F1: 0.6231; Accuracy: 0.4690; Precision: 0.4685; Recall: 0.9301; ROC AUC: 0.4935
+[2024-05-21 17:03:08,094 INFO] Epoch:1, Snapshot:49; F1: 0.6556; Accuracy: 0.5010; Precision: 0.5059; Recall: 0.9314; ROC AUC: 0.4922
+[2024-05-21 17:03:08,907 INFO] Epoch:1, Snapshot:50; F1: 0.6267; Accuracy: 0.4710; Precision: 0.4669; Recall: 0.9528; ROC AUC: 0.5017
+[2024-05-21 17:03:09,751 INFO] Epoch:1, Snapshot:51; F1: 0.6374; Accuracy: 0.4790; Precision: 0.4831; Recall: 0.9366; ROC AUC: 0.4889
+[2024-05-21 17:03:10,658 INFO] Epoch:1, Snapshot:52; F1: 0.6648; Accuracy: 0.5120; Precision: 0.5149; Recall: 0.9380; ROC AUC: 0.4979
+[2024-05-21 17:03:11,564 INFO] Epoch:1, Snapshot:53; F1: 0.6639; Accuracy: 0.5070; Precision: 0.5126; Recall: 0.9420; ROC AUC: 0.4917
+[2024-05-21 17:03:12,393 INFO] Epoch:1, Snapshot:54; F1: 0.6284; Accuracy: 0.4760; Precision: 0.4723; Recall: 0.9386; ROC AUC: 0.5005
+[2024-05-21 17:03:13,205 INFO] Epoch:1, Snapshot:55; F1: 0.6866; Accuracy: 0.5380; Precision: 0.5377; Recall: 0.9493; ROC AUC: 0.5089
+[2024-05-21 17:03:14,049 INFO] Epoch:1, Snapshot:56; F1: 0.6608; Accuracy: 0.5030; Precision: 0.5089; Recall: 0.9416; ROC AUC: 0.4904
+[2024-05-21 17:03:14,909 INFO] Epoch:1, Snapshot:57; F1: 0.6662; Accuracy: 0.5160; Precision: 0.5149; Recall: 0.9434; ROC AUC: 0.5055
+[2024-05-21 17:03:15,706 INFO] Epoch:1, Snapshot:58; F1: 0.6472; Accuracy: 0.4930; Precision: 0.4947; Recall: 0.9356; ROC AUC: 0.4956
+[2024-05-21 17:03:16,675 INFO] Epoch:1, Snapshot:59; F1: 0.6935; Accuracy: 0.5440; Precision: 0.5420; Recall: 0.9627; ROC AUC: 0.5115
+[2024-05-21 17:03:17,566 INFO] Epoch:1, Snapshot:60; F1: 0.6703; Accuracy: 0.5180; Precision: 0.5136; Recall: 0.9646; ROC AUC: 0.5107
+[2024-05-21 17:03:18,582 INFO] Epoch:1, Snapshot:61; F1: 0.6325; Accuracy: 0.4770; Precision: 0.4782; Recall: 0.9336; ROC AUC: 0.4929
+[2024-05-21 17:03:19,613 INFO] Epoch:1, Snapshot:62; F1: 0.6446; Accuracy: 0.4950; Precision: 0.4872; Recall: 0.9522; ROC AUC: 0.5117
+[2024-05-21 17:03:20,692 INFO] Epoch:1, Snapshot:63; F1: 0.6612; Accuracy: 0.5070; Precision: 0.5058; Recall: 0.9544; ROC AUC: 0.5034
+[2024-05-21 17:03:21,629 INFO] Epoch:1, Snapshot:64; F1: 0.6285; Accuracy: 0.4750; Precision: 0.4708; Recall: 0.9447; ROC AUC: 0.5016
+[2024-05-21 17:03:22,504 INFO] Epoch:1, Snapshot:65; F1: 0.6313; Accuracy: 0.4790; Precision: 0.4725; Recall: 0.9510; ROC AUC: 0.5066
+[2024-05-21 17:03:23,504 INFO] Epoch:1, Snapshot:66; F1: 0.7000; Accuracy: 0.5500; Precision: 0.5585; Recall: 0.9375; ROC AUC: 0.4972
+[2024-05-21 17:03:24,333 INFO] Epoch:1, Snapshot:67; F1: 0.6470; Accuracy: 0.4850; Precision: 0.4922; Recall: 0.9440; ROC AUC: 0.4850
+[2024-05-21 17:03:25,114 INFO] Epoch:1, Snapshot:68; F1: 0.6465; Accuracy: 0.4980; Precision: 0.4893; Recall: 0.9523; ROC AUC: 0.5138
+[2024-05-21 17:03:25,943 INFO] Epoch:1, Snapshot:69; F1: 0.6472; Accuracy: 0.4920; Precision: 0.4905; Recall: 0.9510; ROC AUC: 0.5010
+[2024-05-21 17:03:26,865 INFO] Epoch:1, Snapshot:70; F1: 0.6735; Accuracy: 0.5210; Precision: 0.5244; Recall: 0.9410; ROC AUC: 0.4989
+[2024-05-21 17:03:27,677 INFO] Epoch:1, Snapshot:71; F1: 0.6494; Accuracy: 0.4980; Precision: 0.4947; Recall: 0.9451; ROC AUC: 0.5050
+[2024-05-21 17:03:28,506 INFO] Epoch:1, Snapshot:72; F1: 0.6303; Accuracy: 0.4780; Precision: 0.4724; Recall: 0.9468; ROC AUC: 0.5045
+[2024-05-21 17:03:29,240 INFO] Epoch:1, Snapshot:73; F1: 0.5888; Accuracy: 0.4370; Precision: 0.4287; Recall: 0.9394; ROC AUC: 0.4995
+[2024-05-21 17:03:30,006 INFO] Epoch:1, Snapshot:74; F1: 0.6032; Accuracy: 0.4500; Precision: 0.4437; Recall: 0.9414; ROC AUC: 0.4995
+[2024-05-21 17:03:30,819 INFO] Epoch:1, Snapshot:75; F1: 0.6136; Accuracy: 0.4610; Precision: 0.4582; Recall: 0.9284; ROC AUC: 0.4948
+[2024-05-21 17:03:31,616 INFO] Epoch:1, Snapshot:76; F1: 0.6329; Accuracy: 0.4780; Precision: 0.4797; Recall: 0.9298; ROC AUC: 0.4920
+[2024-05-21 17:03:32,523 INFO] Epoch:1, Snapshot:77; F1: 0.6602; Accuracy: 0.5120; Precision: 0.5086; Recall: 0.9405; ROC AUC: 0.5085
+[2024-05-21 17:03:33,430 INFO] Epoch:1, Snapshot:78; F1: 0.6852; Accuracy: 0.5360; Precision: 0.5430; Recall: 0.9283; ROC AUC: 0.4981
+[2024-05-21 17:03:34,336 INFO] Epoch:1, Snapshot:79; F1: 0.6731; Accuracy: 0.5220; Precision: 0.5245; Recall: 0.9389; ROC AUC: 0.5010
+[2024-05-21 17:03:35,196 INFO] Epoch:1, Snapshot:80; F1: 0.6538; Accuracy: 0.4960; Precision: 0.4979; Recall: 0.9520; ROC AUC: 0.4960
+[2024-05-21 17:03:36,165 INFO] Epoch:1, Snapshot:81; F1: 0.6535; Accuracy: 0.4930; Precision: 0.5058; Recall: 0.9228; ROC AUC: 0.4770
+[2024-05-21 17:03:37,009 INFO] Epoch:1, Snapshot:82; F1: 0.6262; Accuracy: 0.4760; Precision: 0.4695; Recall: 0.9400; ROC AUC: 0.5047
+[2024-05-21 17:03:38,025 INFO] Epoch:1, Snapshot:83; F1: 0.6820; Accuracy: 0.5290; Precision: 0.5282; Recall: 0.9619; ROC AUC: 0.5062
+[2024-05-21 17:03:38,853 INFO] Epoch:1, Snapshot:84; F1: 0.6717; Accuracy: 0.5230; Precision: 0.5219; Recall: 0.9421; ROC AUC: 0.5073
+[2024-05-21 17:03:39,759 INFO] Epoch:1, Snapshot:85; F1: 0.6667; Accuracy: 0.5120; Precision: 0.5203; Recall: 0.9278; ROC AUC: 0.4892
+[2024-05-21 17:03:40,666 INFO] Epoch:1, Snapshot:86; F1: 0.6514; Accuracy: 0.4980; Precision: 0.5027; Recall: 0.9250; ROC AUC: 0.4919
+[2024-05-21 17:03:41,588 INFO] Epoch:1, Snapshot:87; F1: 0.6380; Accuracy: 0.4860; Precision: 0.4840; Recall: 0.9360; ROC AUC: 0.5000
+[2024-05-21 17:03:42,448 INFO] Epoch:1, Snapshot:88; F1: 0.6438; Accuracy: 0.4910; Precision: 0.4909; Recall: 0.9350; ROC AUC: 0.4980
+[2024-05-21 17:03:43,479 INFO] Epoch:1, Snapshot:89; F1: 0.6921; Accuracy: 0.5400; Precision: 0.5436; Recall: 0.9521; ROC AUC: 0.5012
+[2024-05-21 17:03:44,276 INFO] Epoch:1, Snapshot:90; F1: 0.6303; Accuracy: 0.4710; Precision: 0.4737; Recall: 0.9415; ROC AUC: 0.4900
+[2024-05-21 17:03:45,199 INFO] Epoch:1, Snapshot:91; F1: 0.6874; Accuracy: 0.5370; Precision: 0.5415; Recall: 0.9409; ROC AUC: 0.5009
+[2024-05-21 17:03:46,043 INFO] Epoch:1, Snapshot:92; F1: 0.6480; Accuracy: 0.4980; Precision: 0.4894; Recall: 0.9585; ROC AUC: 0.5140
+[2024-05-21 17:03:46,839 INFO] Epoch:1, Snapshot:93; F1: 0.6565; Accuracy: 0.5050; Precision: 0.5037; Recall: 0.9422; ROC AUC: 0.5032
+[2024-05-21 17:03:47,590 INFO] Epoch:1, Snapshot:94; F1: 0.6414; Accuracy: 0.4900; Precision: 0.4877; Recall: 0.9363; ROC AUC: 0.5013
+[2024-05-21 17:03:48,481 INFO] Epoch:1, Snapshot:95; F1: 0.6707; Accuracy: 0.5160; Precision: 0.5217; Recall: 0.9390; ROC AUC: 0.4937
+[2024-05-21 17:03:49,403 INFO] Epoch:1, Snapshot:96; F1: 0.6616; Accuracy: 0.5110; Precision: 0.5048; Recall: 0.9598; ROC AUC: 0.5128
+[2024-05-21 17:03:50,341 INFO] Epoch:1, Snapshot:97; F1: 0.6832; Accuracy: 0.5280; Precision: 0.5302; Recall: 0.9604; ROC AUC: 0.5004
+[2024-05-21 17:03:51,076 INFO] Epoch:1, Snapshot:98; F1: 0.6644; Accuracy: 0.5110; Precision: 0.5127; Recall: 0.9435; ROC AUC: 0.4995
+[2024-05-21 17:03:51,920 INFO] Epoch:1, Snapshot:99; F1: 0.6421; Accuracy: 0.4850; Precision: 0.4863; Recall: 0.9448; ROC AUC: 0.4949
+[2024-05-21 17:03:53,045 INFO] Epoch:1, Snapshot:100; F1: 0.6653; Accuracy: 0.5110; Precision: 0.5132; Recall: 0.9455; ROC AUC: 0.4985
+[2024-05-21 17:03:53,889 INFO] Epoch:1, Snapshot:101; F1: 0.6271; Accuracy: 0.4720; Precision: 0.4708; Recall: 0.9387; ROC AUC: 0.4959
+[2024-05-21 17:03:54,749 INFO] Epoch:1, Snapshot:102; F1: 0.6492; Accuracy: 0.4920; Precision: 0.4921; Recall: 0.9533; ROC AUC: 0.4984
+[2024-05-21 17:03:55,624 INFO] Epoch:1, Snapshot:103; F1: 0.6392; Accuracy: 0.4830; Precision: 0.4852; Recall: 0.9366; ROC AUC: 0.4928
+[2024-05-21 17:03:56,421 INFO] Epoch:1, Snapshot:104; F1: 0.6307; Accuracy: 0.4730; Precision: 0.4762; Recall: 0.9336; ROC AUC: 0.4890
+[2024-05-21 17:03:57,343 INFO] Epoch:1, Snapshot:105; F1: 0.6020; Accuracy: 0.4500; Precision: 0.4430; Recall: 0.9391; ROC AUC: 0.5000
+[2024-05-21 17:03:58,265 INFO] Epoch:1, Snapshot:106; F1: 0.6004; Accuracy: 0.4530; Precision: 0.4372; Recall: 0.9580; ROC AUC: 0.5158
+[2024-05-21 17:03:59,172 INFO] Epoch:1, Snapshot:107; F1: 0.6343; Accuracy: 0.4800; Precision: 0.4793; Recall: 0.9376; ROC AUC: 0.4968
+[2024-05-21 17:04:00,219 INFO] Epoch:1, Snapshot:108; F1: 0.6616; Accuracy: 0.5070; Precision: 0.5095; Recall: 0.9432; ROC AUC: 0.4972
+[2024-05-21 17:04:01,188 INFO] Epoch:1, Snapshot:109; F1: 0.6522; Accuracy: 0.5030; Precision: 0.4984; Recall: 0.9433; ROC AUC: 0.5082
+[2024-05-21 17:04:02,094 INFO] Epoch:1, Snapshot:110; F1: 0.6561; Accuracy: 0.5020; Precision: 0.5011; Recall: 0.9500; ROC AUC: 0.5020
+[2024-05-21 17:04:02,938 INFO] Epoch:1, Snapshot:111; F1: 0.6304; Accuracy: 0.4770; Precision: 0.4730; Recall: 0.9449; ROC AUC: 0.5018
+[2024-05-21 17:04:03,970 INFO] Epoch:1, Snapshot:112; F1: 0.6529; Accuracy: 0.4970; Precision: 0.5005; Recall: 0.9385; ROC AUC: 0.4934
+[2024-05-21 17:04:04,861 INFO] Epoch:1, Snapshot:113; F1: 0.6466; Accuracy: 0.4960; Precision: 0.4915; Recall: 0.9447; ROC AUC: 0.5065
+[2024-05-21 17:04:05,955 INFO] Epoch:1, Snapshot:114; F1: 0.6797; Accuracy: 0.5260; Precision: 0.5278; Recall: 0.9545; ROC AUC: 0.5015
+[2024-05-21 17:04:07,018 INFO] Epoch:1, Snapshot:115; F1: 0.6250; Accuracy: 0.4660; Precision: 0.4689; Recall: 0.9368; ROC AUC: 0.4884
+[2024-05-21 17:04:07,992 INFO] Epoch:1, Snapshot:116; F1: 0.6504; Accuracy: 0.4980; Precision: 0.4952; Recall: 0.9473; ROC AUC: 0.5042
+[2024-05-21 17:04:09,050 INFO] Epoch:1, Snapshot:117; F1: 0.6293; Accuracy: 0.4710; Precision: 0.4721; Recall: 0.9433; ROC AUC: 0.4926
+[2024-05-21 17:04:10,019 INFO] Epoch:1, Snapshot:118; F1: 0.6667; Accuracy: 0.5140; Precision: 0.5192; Recall: 0.9310; ROC AUC: 0.4948
+[2024-05-21 17:04:11,003 INFO] Epoch:1, Snapshot:119; F1: 0.6434; Accuracy: 0.4900; Precision: 0.4894; Recall: 0.9388; ROC AUC: 0.4988
+[2024-05-21 17:04:11,972 INFO] Epoch:1, Snapshot:120; F1: 0.6411; Accuracy: 0.4860; Precision: 0.4842; Recall: 0.9483; ROC AUC: 0.5003
+[2024-05-21 17:04:12,910 INFO] Epoch:1, Snapshot:121; F1: 0.6570; Accuracy: 0.5010; Precision: 0.4990; Recall: 0.9618; ROC AUC: 0.5037
+[2024-05-21 17:04:13,801 INFO] Epoch:1, Snapshot:122; F1: 0.6882; Accuracy: 0.5370; Precision: 0.5396; Recall: 0.9498; ROC AUC: 0.5030
+[2024-05-21 17:04:14,817 INFO] Epoch:1, Snapshot:123; F1: 0.6353; Accuracy: 0.4800; Precision: 0.4824; Recall: 0.9302; ROC AUC: 0.4914
+[2024-05-21 17:04:14,832 INFO] Epoch:1, Snapshot: 42; Loss: 0.7013
+[2024-05-21 17:04:21,802 INFO] Epoch:1, Snapshot:37; F1: 0.7017; Accuracy: 0.5630; Precision: 0.5743; Recall: 0.9018; ROC AUC: 0.5079
+[2024-05-21 17:04:22,631 INFO] Epoch:1, Snapshot:38; F1: 0.6746; Accuracy: 0.5350; Precision: 0.5428; Recall: 0.8909; ROC AUC: 0.5032
+[2024-05-21 17:04:23,334 INFO] Epoch:1, Snapshot:39; F1: 0.6242; Accuracy: 0.4870; Precision: 0.4770; Recall: 0.9025; ROC AUC: 0.5090
+[2024-05-21 17:04:24,115 INFO] Epoch:1, Snapshot:40; F1: 0.6643; Accuracy: 0.5270; Precision: 0.5270; Recall: 0.8983; ROC AUC: 0.5107
+[2024-05-21 17:04:24,850 INFO] Epoch:1, Snapshot:41; F1: 0.6214; Accuracy: 0.4810; Precision: 0.4749; Recall: 0.8987; ROC AUC: 0.5016
+[2024-05-21 17:04:25,725 INFO] Epoch:1, Snapshot:42; F1: 0.6366; Accuracy: 0.5000; Precision: 0.4905; Recall: 0.9068; ROC AUC: 0.5134
+[2024-05-21 17:04:26,506 INFO] Epoch:1, Snapshot:43; F1: 0.6112; Accuracy: 0.4720; Precision: 0.4621; Recall: 0.9022; ROC AUC: 0.5039
+[2024-05-21 17:04:27,319 INFO] Epoch:1, Snapshot:44; F1: 0.6787; Accuracy: 0.5380; Precision: 0.5440; Recall: 0.9020; ROC AUC: 0.5055
+[2024-05-21 17:04:28,178 INFO] Epoch:1, Snapshot:45; F1: 0.6671; Accuracy: 0.5270; Precision: 0.5368; Recall: 0.8810; ROC AUC: 0.4979
+[2024-05-21 17:04:29,085 INFO] Epoch:1, Snapshot:46; F1: 0.6482; Accuracy: 0.5040; Precision: 0.5039; Recall: 0.9085; ROC AUC: 0.5016
+[2024-05-21 17:04:29,819 INFO] Epoch:1, Snapshot:47; F1: 0.6176; Accuracy: 0.4800; Precision: 0.4724; Recall: 0.8917; ROC AUC: 0.5026
+[2024-05-21 17:04:30,726 INFO] Epoch:1, Snapshot:48; F1: 0.6224; Accuracy: 0.4770; Precision: 0.4721; Recall: 0.9131; ROC AUC: 0.5001
+[2024-05-21 17:04:31,601 INFO] Epoch:1, Snapshot:49; F1: 0.6581; Accuracy: 0.5210; Precision: 0.5174; Recall: 0.9039; ROC AUC: 0.5132
+[2024-05-21 17:04:32,429 INFO] Epoch:1, Snapshot:50; F1: 0.6165; Accuracy: 0.4750; Precision: 0.4673; Recall: 0.9056; ROC AUC: 0.5024
+[2024-05-21 17:04:33,289 INFO] Epoch:1, Snapshot:51; F1: 0.6324; Accuracy: 0.4920; Precision: 0.4894; Recall: 0.8937; ROC AUC: 0.5006
+[2024-05-21 17:04:34,180 INFO] Epoch:1, Snapshot:52; F1: 0.6549; Accuracy: 0.5110; Precision: 0.5150; Recall: 0.8992; ROC AUC: 0.4982
+[2024-05-21 17:04:35,086 INFO] Epoch:1, Snapshot:53; F1: 0.6559; Accuracy: 0.5100; Precision: 0.5149; Recall: 0.9033; ROC AUC: 0.4962
+[2024-05-21 17:04:35,915 INFO] Epoch:1, Snapshot:54; F1: 0.6235; Accuracy: 0.4830; Precision: 0.4750; Recall: 0.9068; ROC AUC: 0.5055
+[2024-05-21 17:04:36,759 INFO] Epoch:1, Snapshot:55; F1: 0.6568; Accuracy: 0.5110; Precision: 0.5247; Recall: 0.8780; ROC AUC: 0.4851
+[2024-05-21 17:04:37,634 INFO] Epoch:1, Snapshot:56; F1: 0.6634; Accuracy: 0.5190; Precision: 0.5180; Recall: 0.9222; ROC AUC: 0.5074
+[2024-05-21 17:04:38,431 INFO] Epoch:1, Snapshot:57; F1: 0.6709; Accuracy: 0.5310; Precision: 0.5235; Recall: 0.9336; ROC AUC: 0.5211
+[2024-05-21 17:04:39,228 INFO] Epoch:1, Snapshot:58; F1: 0.6336; Accuracy: 0.4900; Precision: 0.4927; Recall: 0.8873; ROC AUC: 0.4924
+[2024-05-21 17:04:40,244 INFO] Epoch:1, Snapshot:59; F1: 0.6796; Accuracy: 0.5390; Precision: 0.5415; Recall: 0.9123; ROC AUC: 0.5100
+[2024-05-21 17:04:41,135 INFO] Epoch:1, Snapshot:60; F1: 0.6481; Accuracy: 0.5070; Precision: 0.5084; Recall: 0.8937; ROC AUC: 0.5007
+[2024-05-21 17:04:42,151 INFO] Epoch:1, Snapshot:61; F1: 0.6385; Accuracy: 0.4960; Precision: 0.4879; Recall: 0.9232; ROC AUC: 0.5108
+[2024-05-21 17:04:43,182 INFO] Epoch:1, Snapshot:62; F1: 0.6187; Accuracy: 0.4750; Precision: 0.4754; Recall: 0.8857; ROC AUC: 0.4900
+[2024-05-21 17:04:44,198 INFO] Epoch:1, Snapshot:63; F1: 0.6358; Accuracy: 0.4890; Precision: 0.4961; Recall: 0.8849; ROC AUC: 0.4858
+[2024-05-21 17:04:45,151 INFO] Epoch:1, Snapshot:64; F1: 0.6154; Accuracy: 0.4750; Precision: 0.4693; Recall: 0.8936; ROC AUC: 0.4987
+[2024-05-21 17:04:46,026 INFO] Epoch:1, Snapshot:65; F1: 0.6120; Accuracy: 0.4750; Precision: 0.4683; Recall: 0.8827; ROC AUC: 0.4988
+[2024-05-21 17:04:47,042 INFO] Epoch:1, Snapshot:66; F1: 0.6918; Accuracy: 0.5510; Precision: 0.5619; Recall: 0.9000; ROC AUC: 0.5034
+[2024-05-21 17:04:47,855 INFO] Epoch:1, Snapshot:67; F1: 0.6347; Accuracy: 0.4970; Precision: 0.4983; Recall: 0.8740; ROC AUC: 0.4970
+[2024-05-21 17:04:48,605 INFO] Epoch:1, Snapshot:68; F1: 0.6423; Accuracy: 0.5000; Precision: 0.4902; Recall: 0.9315; ROC AUC: 0.5150
+[2024-05-21 17:04:49,449 INFO] Epoch:1, Snapshot:69; F1: 0.6298; Accuracy: 0.4840; Precision: 0.4856; Recall: 0.8959; ROC AUC: 0.4921
+[2024-05-21 17:04:50,418 INFO] Epoch:1, Snapshot:70; F1: 0.6549; Accuracy: 0.5110; Precision: 0.5202; Recall: 0.8838; ROC AUC: 0.4914
+[2024-05-21 17:04:51,230 INFO] Epoch:1, Snapshot:71; F1: 0.6368; Accuracy: 0.4900; Precision: 0.4901; Recall: 0.9085; ROC AUC: 0.4966
+[2024-05-21 17:04:52,059 INFO] Epoch:1, Snapshot:72; F1: 0.6121; Accuracy: 0.4690; Precision: 0.4661; Recall: 0.8915; ROC AUC: 0.4929
+[2024-05-21 17:04:52,778 INFO] Epoch:1, Snapshot:73; F1: 0.5780; Accuracy: 0.4510; Precision: 0.4312; Recall: 0.8765; ROC AUC: 0.5039
+[2024-05-21 17:04:53,559 INFO] Epoch:1, Snapshot:74; F1: 0.6021; Accuracy: 0.4660; Precision: 0.4499; Recall: 0.9099; ROC AUC: 0.5107
+[2024-05-21 17:04:54,419 INFO] Epoch:1, Snapshot:75; F1: 0.6125; Accuracy: 0.4710; Precision: 0.4624; Recall: 0.9067; ROC AUC: 0.5025
+[2024-05-21 17:04:55,169 INFO] Epoch:1, Snapshot:76; F1: 0.6379; Accuracy: 0.4960; Precision: 0.4890; Recall: 0.9174; ROC AUC: 0.5091
+[2024-05-21 17:04:56,091 INFO] Epoch:1, Snapshot:77; F1: 0.6368; Accuracy: 0.4900; Precision: 0.4967; Recall: 0.8869; ROC AUC: 0.4868
+[2024-05-21 17:04:56,982 INFO] Epoch:1, Snapshot:78; F1: 0.6809; Accuracy: 0.5380; Precision: 0.5454; Recall: 0.9062; ROC AUC: 0.5025
+[2024-05-21 17:04:57,873 INFO] Epoch:1, Snapshot:79; F1: 0.6620; Accuracy: 0.5200; Precision: 0.5246; Recall: 0.8969; ROC AUC: 0.5010
+[2024-05-21 17:04:58,686 INFO] Epoch:1, Snapshot:80; F1: 0.6547; Accuracy: 0.5180; Precision: 0.5100; Recall: 0.9140; ROC AUC: 0.5180
+[2024-05-21 17:04:59,624 INFO] Epoch:1, Snapshot:81; F1: 0.6563; Accuracy: 0.5150; Precision: 0.5185; Recall: 0.8938; ROC AUC: 0.5009
+[2024-05-21 17:05:00,437 INFO] Epoch:1, Snapshot:82; F1: 0.6224; Accuracy: 0.4820; Precision: 0.4718; Recall: 0.9143; ROC AUC: 0.5088
+[2024-05-21 17:05:01,468 INFO] Epoch:1, Snapshot:83; F1: 0.6667; Accuracy: 0.5230; Precision: 0.5265; Recall: 0.9086; ROC AUC: 0.5027
+[2024-05-21 17:05:02,297 INFO] Epoch:1, Snapshot:84; F1: 0.6681; Accuracy: 0.5320; Precision: 0.5280; Recall: 0.9093; ROC AUC: 0.5179
+[2024-05-21 17:05:03,156 INFO] Epoch:1, Snapshot:85; F1: 0.6671; Accuracy: 0.5220; Precision: 0.5264; Recall: 0.9106; ROC AUC: 0.5007
+[2024-05-21 17:05:04,062 INFO] Epoch:1, Snapshot:86; F1: 0.6415; Accuracy: 0.4970; Precision: 0.5022; Recall: 0.8876; ROC AUC: 0.4915
+[2024-05-21 17:05:04,953 INFO] Epoch:1, Snapshot:87; F1: 0.6281; Accuracy: 0.4860; Precision: 0.4833; Recall: 0.8967; ROC AUC: 0.4987
+[2024-05-21 17:05:05,797 INFO] Epoch:1, Snapshot:88; F1: 0.6429; Accuracy: 0.4990; Precision: 0.4951; Recall: 0.9167; ROC AUC: 0.5056
+[2024-05-21 17:05:06,860 INFO] Epoch:1, Snapshot:89; F1: 0.6837; Accuracy: 0.5410; Precision: 0.5463; Recall: 0.9134; ROC AUC: 0.5060
+[2024-05-21 17:05:07,642 INFO] Epoch:1, Snapshot:90; F1: 0.6268; Accuracy: 0.4820; Precision: 0.4785; Recall: 0.9081; ROC AUC: 0.4992
+[2024-05-21 17:05:08,533 INFO] Epoch:1, Snapshot:91; F1: 0.6745; Accuracy: 0.5290; Precision: 0.5386; Recall: 0.9020; ROC AUC: 0.4957
+[2024-05-21 17:05:09,392 INFO] Epoch:1, Snapshot:92; F1: 0.6180; Accuracy: 0.4770; Precision: 0.4769; Recall: 0.8776; ROC AUC: 0.4909
+[2024-05-21 17:05:10,205 INFO] Epoch:1, Snapshot:93; F1: 0.6366; Accuracy: 0.4930; Precision: 0.4972; Recall: 0.8845; ROC AUC: 0.4914
+[2024-05-21 17:05:10,987 INFO] Epoch:1, Snapshot:94; F1: 0.6348; Accuracy: 0.4880; Precision: 0.4863; Recall: 0.9138; ROC AUC: 0.4988
+[2024-05-21 17:05:11,877 INFO] Epoch:1, Snapshot:95; F1: 0.6587; Accuracy: 0.5140; Precision: 0.5217; Recall: 0.8933; ROC AUC: 0.4940
+[2024-05-21 17:05:12,784 INFO] Epoch:1, Snapshot:96; F1: 0.6235; Accuracy: 0.4770; Precision: 0.4860; Recall: 0.8695; ROC AUC: 0.4786
+[2024-05-21 17:05:13,722 INFO] Epoch:1, Snapshot:97; F1: 0.6620; Accuracy: 0.5190; Precision: 0.5274; Recall: 0.8887; ROC AUC: 0.4954
+[2024-05-21 17:05:14,472 INFO] Epoch:1, Snapshot:98; F1: 0.6529; Accuracy: 0.5110; Precision: 0.5134; Recall: 0.8967; ROC AUC: 0.5007
+[2024-05-21 17:05:15,315 INFO] Epoch:1, Snapshot:99; F1: 0.6287; Accuracy: 0.4850; Precision: 0.4855; Recall: 0.8916; ROC AUC: 0.4938
+[2024-05-21 17:05:16,410 INFO] Epoch:1, Snapshot:100; F1: 0.6539; Accuracy: 0.5110; Precision: 0.5139; Recall: 0.8988; ROC AUC: 0.4998
+[2024-05-21 17:05:17,254 INFO] Epoch:1, Snapshot:101; F1: 0.6205; Accuracy: 0.4740; Precision: 0.4710; Recall: 0.9091; ROC AUC: 0.4963
+[2024-05-21 17:05:18,161 INFO] Epoch:1, Snapshot:102; F1: 0.6368; Accuracy: 0.4890; Precision: 0.4902; Recall: 0.9087; ROC AUC: 0.4948
+[2024-05-21 17:05:19,020 INFO] Epoch:1, Snapshot:103; F1: 0.6284; Accuracy: 0.4880; Precision: 0.4871; Recall: 0.8855; ROC AUC: 0.4966
+[2024-05-21 17:05:19,802 INFO] Epoch:1, Snapshot:104; F1: 0.6278; Accuracy: 0.4830; Precision: 0.4807; Recall: 0.9046; ROC AUC: 0.4976
+[2024-05-21 17:05:20,724 INFO] Epoch:1, Snapshot:105; F1: 0.5964; Accuracy: 0.4600; Precision: 0.4458; Recall: 0.9007; ROC AUC: 0.5051
+[2024-05-21 17:05:21,647 INFO] Epoch:1, Snapshot:106; F1: 0.5852; Accuracy: 0.4500; Precision: 0.4326; Recall: 0.9044; ROC AUC: 0.5065
+[2024-05-21 17:05:22,537 INFO] Epoch:1, Snapshot:107; F1: 0.6347; Accuracy: 0.4970; Precision: 0.4877; Recall: 0.9085; ROC AUC: 0.5121
+[2024-05-21 17:05:23,522 INFO] Epoch:1, Snapshot:108; F1: 0.6533; Accuracy: 0.5150; Precision: 0.5146; Recall: 0.8943; ROC AUC: 0.5065
+[2024-05-21 17:05:24,429 INFO] Epoch:1, Snapshot:109; F1: 0.6436; Accuracy: 0.5050; Precision: 0.4994; Recall: 0.9049; ROC AUC: 0.5097
+[2024-05-21 17:05:25,289 INFO] Epoch:1, Snapshot:110; F1: 0.6302; Accuracy: 0.4790; Precision: 0.4884; Recall: 0.8880; ROC AUC: 0.4790
+[2024-05-21 17:05:26,118 INFO] Epoch:1, Snapshot:111; F1: 0.6183; Accuracy: 0.4790; Precision: 0.4726; Recall: 0.8941; ROC AUC: 0.5010
+[2024-05-21 17:05:27,165 INFO] Epoch:1, Snapshot:112; F1: 0.6497; Accuracy: 0.5050; Precision: 0.5050; Recall: 0.9107; ROC AUC: 0.5017
+[2024-05-21 17:05:28,024 INFO] Epoch:1, Snapshot:113; F1: 0.6367; Accuracy: 0.4990; Precision: 0.4927; Recall: 0.8996; ROC AUC: 0.5084
+[2024-05-21 17:05:29,103 INFO] Epoch:1, Snapshot:114; F1: 0.6513; Accuracy: 0.5000; Precision: 0.5149; Recall: 0.8861; ROC AUC: 0.4780
+[2024-05-21 17:05:30,181 INFO] Epoch:1, Snapshot:115; F1: 0.6179; Accuracy: 0.4780; Precision: 0.4736; Recall: 0.8884; ROC AUC: 0.4975
+[2024-05-21 17:05:31,198 INFO] Epoch:1, Snapshot:116; F1: 0.6433; Accuracy: 0.5010; Precision: 0.4967; Recall: 0.9128; ROC AUC: 0.5067
+[2024-05-21 17:05:32,229 INFO] Epoch:1, Snapshot:117; F1: 0.6297; Accuracy: 0.4920; Precision: 0.4821; Recall: 0.9076; ROC AUC: 0.5110
+[2024-05-21 17:05:33,198 INFO] Epoch:1, Snapshot:118; F1: 0.6764; Accuracy: 0.5350; Precision: 0.5311; Recall: 0.9310; ROC AUC: 0.5168
+[2024-05-21 17:05:34,167 INFO] Epoch:1, Snapshot:119; F1: 0.6218; Accuracy: 0.4770; Precision: 0.4815; Recall: 0.8776; ROC AUC: 0.4849
+[2024-05-21 17:05:35,183 INFO] Epoch:1, Snapshot:120; F1: 0.6221; Accuracy: 0.4690; Precision: 0.4745; Recall: 0.9029; ROC AUC: 0.4825
+[2024-05-21 17:05:36,136 INFO] Epoch:1, Snapshot:121; F1: 0.6365; Accuracy: 0.4940; Precision: 0.4950; Recall: 0.8913; ROC AUC: 0.4964
+[2024-05-21 17:05:37,027 INFO] Epoch:1, Snapshot:122; F1: 0.6770; Accuracy: 0.5410; Precision: 0.5447; Recall: 0.8941; ROC AUC: 0.5120
+[2024-05-21 17:05:37,996 INFO] Epoch:1, Snapshot:123; F1: 0.6361; Accuracy: 0.5000; Precision: 0.4927; Recall: 0.8973; ROC AUC: 0.5101
+[2024-05-21 17:05:38,012 INFO] Epoch:1, Snapshot: 43; Loss: 0.6991
+[2024-05-21 17:05:45,107 INFO] Epoch:1, Snapshot:37; F1: 0.6980; Accuracy: 0.5570; Precision: 0.5708; Recall: 0.8982; ROC AUC: 0.5014
+[2024-05-21 17:05:45,983 INFO] Epoch:1, Snapshot:38; F1: 0.6620; Accuracy: 0.5140; Precision: 0.5307; Recall: 0.8799; ROC AUC: 0.4813
+[2024-05-21 17:05:46,671 INFO] Epoch:1, Snapshot:39; F1: 0.6283; Accuracy: 0.4900; Precision: 0.4789; Recall: 0.9131; ROC AUC: 0.5124
+[2024-05-21 17:05:47,467 INFO] Epoch:1, Snapshot:40; F1: 0.6690; Accuracy: 0.5270; Precision: 0.5264; Recall: 0.9175; ROC AUC: 0.5099
+[2024-05-21 17:05:48,234 INFO] Epoch:1, Snapshot:41; F1: 0.6238; Accuracy: 0.4850; Precision: 0.4771; Recall: 0.9008; ROC AUC: 0.5056
+[2024-05-21 17:05:49,140 INFO] Epoch:1, Snapshot:42; F1: 0.6251; Accuracy: 0.4770; Precision: 0.4781; Recall: 0.9027; ROC AUC: 0.4910
+[2024-05-21 17:05:49,922 INFO] Epoch:1, Snapshot:43; F1: 0.6082; Accuracy: 0.4640; Precision: 0.4581; Recall: 0.9043; ROC AUC: 0.4966
+[2024-05-21 17:05:50,750 INFO] Epoch:1, Snapshot:44; F1: 0.6741; Accuracy: 0.5340; Precision: 0.5422; Recall: 0.8909; ROC AUC: 0.5021
+[2024-05-21 17:05:51,626 INFO] Epoch:1, Snapshot:45; F1: 0.6713; Accuracy: 0.5310; Precision: 0.5388; Recall: 0.8903; ROC AUC: 0.5014
+[2024-05-21 17:05:52,532 INFO] Epoch:1, Snapshot:46; F1: 0.6443; Accuracy: 0.5010; Precision: 0.5022; Recall: 0.8986; ROC AUC: 0.4986
+[2024-05-21 17:05:53,282 INFO] Epoch:1, Snapshot:47; F1: 0.6277; Accuracy: 0.4900; Precision: 0.4783; Recall: 0.9130; ROC AUC: 0.5132
+[2024-05-21 17:05:54,189 INFO] Epoch:1, Snapshot:48; F1: 0.6202; Accuracy: 0.4710; Precision: 0.4691; Recall: 0.9153; ROC AUC: 0.4946
+[2024-05-21 17:05:55,079 INFO] Epoch:1, Snapshot:49; F1: 0.6671; Accuracy: 0.5280; Precision: 0.5209; Recall: 0.9275; ROC AUC: 0.5198
+[2024-05-21 17:05:55,893 INFO] Epoch:1, Snapshot:50; F1: 0.6287; Accuracy: 0.4980; Precision: 0.4797; Recall: 0.9120; ROC AUC: 0.5244
+[2024-05-21 17:05:56,752 INFO] Epoch:1, Snapshot:51; F1: 0.6285; Accuracy: 0.4870; Precision: 0.4865; Recall: 0.8875; ROC AUC: 0.4956
+[2024-05-21 17:05:57,612 INFO] Epoch:1, Snapshot:52; F1: 0.6577; Accuracy: 0.5140; Precision: 0.5166; Recall: 0.9050; ROC AUC: 0.5011
+[2024-05-21 17:05:58,503 INFO] Epoch:1, Snapshot:53; F1: 0.6634; Accuracy: 0.5210; Precision: 0.5210; Recall: 0.9130; ROC AUC: 0.5072
+[2024-05-21 17:05:59,331 INFO] Epoch:1, Snapshot:54; F1: 0.6155; Accuracy: 0.4690; Precision: 0.4675; Recall: 0.9004; ROC AUC: 0.4919
+[2024-05-21 17:06:00,175 INFO] Epoch:1, Snapshot:55; F1: 0.6531; Accuracy: 0.5050; Precision: 0.5213; Recall: 0.8743; ROC AUC: 0.4789
+[2024-05-21 17:06:01,003 INFO] Epoch:1, Snapshot:56; F1: 0.6582; Accuracy: 0.5130; Precision: 0.5148; Recall: 0.9125; ROC AUC: 0.5015
+[2024-05-21 17:06:01,769 INFO] Epoch:1, Snapshot:57; F1: 0.6441; Accuracy: 0.4950; Precision: 0.5039; Recall: 0.8926; ROC AUC: 0.4852
+[2024-05-21 17:06:02,582 INFO] Epoch:1, Snapshot:58; F1: 0.6381; Accuracy: 0.4930; Precision: 0.4945; Recall: 0.8994; ROC AUC: 0.4954
+[2024-05-21 17:06:03,566 INFO] Epoch:1, Snapshot:59; F1: 0.6643; Accuracy: 0.5220; Precision: 0.5327; Recall: 0.8825; ROC AUC: 0.4940
+[2024-05-21 17:06:04,442 INFO] Epoch:1, Snapshot:60; F1: 0.6432; Accuracy: 0.4940; Precision: 0.5011; Recall: 0.8976; ROC AUC: 0.4874
+[2024-05-21 17:06:05,489 INFO] Epoch:1, Snapshot:61; F1: 0.6242; Accuracy: 0.4810; Precision: 0.4794; Recall: 0.8942; ROC AUC: 0.4954
+[2024-05-21 17:06:06,505 INFO] Epoch:1, Snapshot:62; F1: 0.6194; Accuracy: 0.4740; Precision: 0.4750; Recall: 0.8898; ROC AUC: 0.4892
+[2024-05-21 17:06:07,536 INFO] Epoch:1, Snapshot:63; F1: 0.6348; Accuracy: 0.4880; Precision: 0.4955; Recall: 0.8829; ROC AUC: 0.4848
+[2024-05-21 17:06:08,506 INFO] Epoch:1, Snapshot:64; F1: 0.6264; Accuracy: 0.4800; Precision: 0.4729; Recall: 0.9277; ROC AUC: 0.5053
+[2024-05-21 17:06:09,381 INFO] Epoch:1, Snapshot:65; F1: 0.6096; Accuracy: 0.4710; Precision: 0.4661; Recall: 0.8806; ROC AUC: 0.4949
+[2024-05-21 17:06:10,381 INFO] Epoch:1, Snapshot:66; F1: 0.6922; Accuracy: 0.5490; Precision: 0.5602; Recall: 0.9054; ROC AUC: 0.5004
+[2024-05-21 17:06:11,209 INFO] Epoch:1, Snapshot:67; F1: 0.6361; Accuracy: 0.4920; Precision: 0.4955; Recall: 0.8880; ROC AUC: 0.4920
+[2024-05-21 17:06:11,975 INFO] Epoch:1, Snapshot:68; F1: 0.6102; Accuracy: 0.4660; Precision: 0.4707; Recall: 0.8672; ROC AUC: 0.4799
+[2024-05-21 17:06:12,819 INFO] Epoch:1, Snapshot:69; F1: 0.6301; Accuracy: 0.4870; Precision: 0.4872; Recall: 0.8918; ROC AUC: 0.4949
+[2024-05-21 17:06:13,726 INFO] Epoch:1, Snapshot:70; F1: 0.6667; Accuracy: 0.5240; Precision: 0.5271; Recall: 0.9067; ROC AUC: 0.5039
+[2024-05-21 17:06:14,601 INFO] Epoch:1, Snapshot:71; F1: 0.6326; Accuracy: 0.4890; Precision: 0.4894; Recall: 0.8943; ROC AUC: 0.4954
+[2024-05-21 17:06:15,429 INFO] Epoch:1, Snapshot:72; F1: 0.6171; Accuracy: 0.4700; Precision: 0.4672; Recall: 0.9085; ROC AUC: 0.4948
+[2024-05-21 17:06:16,148 INFO] Epoch:1, Snapshot:73; F1: 0.5781; Accuracy: 0.4380; Precision: 0.4264; Recall: 0.8974; ROC AUC: 0.4951
+[2024-05-21 17:06:16,914 INFO] Epoch:1, Snapshot:74; F1: 0.5847; Accuracy: 0.4460; Precision: 0.4382; Recall: 0.8784; ROC AUC: 0.4895
+[2024-05-21 17:06:17,758 INFO] Epoch:1, Snapshot:75; F1: 0.5966; Accuracy: 0.4590; Precision: 0.4545; Recall: 0.8677; ROC AUC: 0.4886
+[2024-05-21 17:06:18,540 INFO] Epoch:1, Snapshot:76; F1: 0.6304; Accuracy: 0.4910; Precision: 0.4860; Recall: 0.8967; ROC AUC: 0.5036
+[2024-05-21 17:06:19,493 INFO] Epoch:1, Snapshot:77; F1: 0.6535; Accuracy: 0.5090; Precision: 0.5071; Recall: 0.9187; ROC AUC: 0.5057
+[2024-05-21 17:06:20,415 INFO] Epoch:1, Snapshot:78; F1: 0.6760; Accuracy: 0.5370; Precision: 0.5458; Recall: 0.8879; ROC AUC: 0.5031
+[2024-05-21 17:06:21,306 INFO] Epoch:1, Snapshot:79; F1: 0.6638; Accuracy: 0.5260; Precision: 0.5282; Recall: 0.8931; ROC AUC: 0.5075
+[2024-05-21 17:06:22,119 INFO] Epoch:1, Snapshot:80; F1: 0.6331; Accuracy: 0.4820; Precision: 0.4901; Recall: 0.8940; ROC AUC: 0.4820
+[2024-05-21 17:06:23,072 INFO] Epoch:1, Snapshot:81; F1: 0.6469; Accuracy: 0.5010; Precision: 0.5106; Recall: 0.8822; ROC AUC: 0.4868
+[2024-05-21 17:06:23,854 INFO] Epoch:1, Snapshot:82; F1: 0.6078; Accuracy: 0.4670; Precision: 0.4630; Recall: 0.8844; ROC AUC: 0.4928
+[2024-05-21 17:06:24,838 INFO] Epoch:1, Snapshot:83; F1: 0.6690; Accuracy: 0.5260; Precision: 0.5281; Recall: 0.9124; ROC AUC: 0.5057
+[2024-05-21 17:06:25,682 INFO] Epoch:1, Snapshot:84; F1: 0.6481; Accuracy: 0.5080; Precision: 0.5148; Recall: 0.8745; ROC AUC: 0.4943
+[2024-05-21 17:06:26,541 INFO] Epoch:1, Snapshot:85; F1: 0.6690; Accuracy: 0.5280; Precision: 0.5300; Recall: 0.9068; ROC AUC: 0.5072
+[2024-05-21 17:06:27,417 INFO] Epoch:1, Snapshot:86; F1: 0.6501; Accuracy: 0.5060; Precision: 0.5072; Recall: 0.9053; ROC AUC: 0.5003
+[2024-05-21 17:06:28,323 INFO] Epoch:1, Snapshot:87; F1: 0.6298; Accuracy: 0.4910; Precision: 0.4860; Recall: 0.8946; ROC AUC: 0.5035
+[2024-05-21 17:06:29,198 INFO] Epoch:1, Snapshot:88; F1: 0.6275; Accuracy: 0.4860; Precision: 0.4876; Recall: 0.8801; ROC AUC: 0.4922
+[2024-05-21 17:06:30,229 INFO] Epoch:1, Snapshot:89; F1: 0.6755; Accuracy: 0.5370; Precision: 0.5452; Recall: 0.8877; ROC AUC: 0.5040
+[2024-05-21 17:06:31,011 INFO] Epoch:1, Snapshot:90; F1: 0.6289; Accuracy: 0.4890; Precision: 0.4822; Recall: 0.9040; ROC AUC: 0.5057
+[2024-05-21 17:06:31,886 INFO] Epoch:1, Snapshot:91; F1: 0.6852; Accuracy: 0.5480; Precision: 0.5497; Recall: 0.9094; ROC AUC: 0.5157
+[2024-05-21 17:06:32,746 INFO] Epoch:1, Snapshot:92; F1: 0.6273; Accuracy: 0.4820; Precision: 0.4802; Recall: 0.9046; ROC AUC: 0.4967
+[2024-05-21 17:06:33,589 INFO] Epoch:1, Snapshot:93; F1: 0.6512; Accuracy: 0.5030; Precision: 0.5027; Recall: 0.9243; ROC AUC: 0.5013
+[2024-05-21 17:06:34,340 INFO] Epoch:1, Snapshot:94; F1: 0.6397; Accuracy: 0.5010; Precision: 0.4933; Recall: 0.9097; ROC AUC: 0.5114
+[2024-05-21 17:06:35,221 INFO] Epoch:1, Snapshot:95; F1: 0.6535; Accuracy: 0.5070; Precision: 0.5178; Recall: 0.8857; ROC AUC: 0.4871
+[2024-05-21 17:06:36,122 INFO] Epoch:1, Snapshot:96; F1: 0.6395; Accuracy: 0.4960; Precision: 0.4967; Recall: 0.8976; ROC AUC: 0.4976
+[2024-05-21 17:06:37,028 INFO] Epoch:1, Snapshot:97; F1: 0.6648; Accuracy: 0.5200; Precision: 0.5277; Recall: 0.8981; ROC AUC: 0.4959
+[2024-05-21 17:06:37,794 INFO] Epoch:1, Snapshot:98; F1: 0.6502; Accuracy: 0.5040; Precision: 0.5094; Recall: 0.8986; ROC AUC: 0.4935
+[2024-05-21 17:06:38,654 INFO] Epoch:1, Snapshot:99; F1: 0.6416; Accuracy: 0.5040; Precision: 0.4961; Recall: 0.9080; ROC AUC: 0.5127
+[2024-05-21 17:06:39,763 INFO] Epoch:1, Snapshot:100; F1: 0.6559; Accuracy: 0.5110; Precision: 0.5138; Recall: 0.9066; ROC AUC: 0.4996
+[2024-05-21 17:06:40,623 INFO] Epoch:1, Snapshot:101; F1: 0.6168; Accuracy: 0.4670; Precision: 0.4673; Recall: 0.9070; ROC AUC: 0.4895
+[2024-05-21 17:06:41,467 INFO] Epoch:1, Snapshot:102; F1: 0.6422; Accuracy: 0.5020; Precision: 0.4972; Recall: 0.9067; ROC AUC: 0.5076
+[2024-05-21 17:06:42,343 INFO] Epoch:1, Snapshot:103; F1: 0.6409; Accuracy: 0.4990; Precision: 0.4934; Recall: 0.9141; ROC AUC: 0.5079
+[2024-05-21 17:06:43,202 INFO] Epoch:1, Snapshot:104; F1: 0.6251; Accuracy: 0.4770; Precision: 0.4775; Recall: 0.9046; ROC AUC: 0.4919
+[2024-05-21 17:06:44,124 INFO] Epoch:1, Snapshot:105; F1: 0.5996; Accuracy: 0.4590; Precision: 0.4460; Recall: 0.9142; ROC AUC: 0.5056
+[2024-05-21 17:06:45,093 INFO] Epoch:1, Snapshot:106; F1: 0.5753; Accuracy: 0.4390; Precision: 0.4260; Recall: 0.8858; ROC AUC: 0.4946
+[2024-05-21 17:06:45,984 INFO] Epoch:1, Snapshot:107; F1: 0.6364; Accuracy: 0.4950; Precision: 0.4868; Recall: 0.9189; ROC AUC: 0.5105
+[2024-05-21 17:06:46,954 INFO] Epoch:1, Snapshot:108; F1: 0.6544; Accuracy: 0.5120; Precision: 0.5128; Recall: 0.9041; ROC AUC: 0.5032
+[2024-05-21 17:06:47,860 INFO] Epoch:1, Snapshot:109; F1: 0.6322; Accuracy: 0.4880; Precision: 0.4900; Recall: 0.8907; ROC AUC: 0.4928
+[2024-05-21 17:06:48,735 INFO] Epoch:1, Snapshot:110; F1: 0.6386; Accuracy: 0.4940; Precision: 0.4967; Recall: 0.8940; ROC AUC: 0.4940
+[2024-05-21 17:06:49,564 INFO] Epoch:1, Snapshot:111; F1: 0.6264; Accuracy: 0.4930; Precision: 0.4802; Recall: 0.9004; ROC AUC: 0.5146
+[2024-05-21 17:06:50,614 INFO] Epoch:1, Snapshot:112; F1: 0.6440; Accuracy: 0.4970; Precision: 0.5006; Recall: 0.9028; ROC AUC: 0.4937
+[2024-05-21 17:06:51,502 INFO] Epoch:1, Snapshot:113; F1: 0.6341; Accuracy: 0.4910; Precision: 0.4884; Recall: 0.9037; ROC AUC: 0.5007
+[2024-05-21 17:06:52,580 INFO] Epoch:1, Snapshot:114; F1: 0.6550; Accuracy: 0.5090; Precision: 0.5201; Recall: 0.8843; ROC AUC: 0.4876
+[2024-05-21 17:06:53,612 INFO] Epoch:1, Snapshot:115; F1: 0.6064; Accuracy: 0.4600; Precision: 0.4638; Recall: 0.8758; ROC AUC: 0.4798
+[2024-05-21 17:06:54,597 INFO] Epoch:1, Snapshot:116; F1: 0.6446; Accuracy: 0.5060; Precision: 0.4994; Recall: 0.9087; ROC AUC: 0.5116
+[2024-05-21 17:06:55,612 INFO] Epoch:1, Snapshot:117; F1: 0.6317; Accuracy: 0.4950; Precision: 0.4838; Recall: 0.9097; ROC AUC: 0.5140
+[2024-05-21 17:06:56,628 INFO] Epoch:1, Snapshot:118; F1: 0.6611; Accuracy: 0.5140; Precision: 0.5197; Recall: 0.9080; ROC AUC: 0.4959
+[2024-05-21 17:06:57,660 INFO] Epoch:1, Snapshot:119; F1: 0.6274; Accuracy: 0.4810; Precision: 0.4839; Recall: 0.8918; ROC AUC: 0.4891
+[2024-05-21 17:06:58,660 INFO] Epoch:1, Snapshot:120; F1: 0.6175; Accuracy: 0.4760; Precision: 0.4774; Recall: 0.8740; ROC AUC: 0.4883
+[2024-05-21 17:06:59,614 INFO] Epoch:1, Snapshot:121; F1: 0.6417; Accuracy: 0.5020; Precision: 0.4994; Recall: 0.8974; ROC AUC: 0.5044
+[2024-05-21 17:07:00,567 INFO] Epoch:1, Snapshot:122; F1: 0.6871; Accuracy: 0.5500; Precision: 0.5489; Recall: 0.9182; ROC AUC: 0.5197
+[2024-05-21 17:07:01,567 INFO] Epoch:1, Snapshot:123; F1: 0.6300; Accuracy: 0.4890; Precision: 0.4866; Recall: 0.8932; ROC AUC: 0.4992
+[2024-05-21 17:07:01,567 INFO] Epoch:1, Snapshot: 44; Loss: 0.6975
+[2024-05-21 17:07:08,600 INFO] Epoch:1, Snapshot:37; F1: 0.6899; Accuracy: 0.5470; Precision: 0.5657; Recall: 0.8842; ROC AUC: 0.4921
+[2024-05-21 17:07:09,459 INFO] Epoch:1, Snapshot:38; F1: 0.6841; Accuracy: 0.5400; Precision: 0.5443; Recall: 0.9205; ROC AUC: 0.5060
+[2024-05-21 17:07:10,178 INFO] Epoch:1, Snapshot:39; F1: 0.6292; Accuracy: 0.4850; Precision: 0.4766; Recall: 0.9258; ROC AUC: 0.5084
+[2024-05-21 17:07:10,944 INFO] Epoch:1, Snapshot:40; F1: 0.6681; Accuracy: 0.5270; Precision: 0.5265; Recall: 0.9136; ROC AUC: 0.5100
+[2024-05-21 17:07:11,710 INFO] Epoch:1, Snapshot:41; F1: 0.6283; Accuracy: 0.4900; Precision: 0.4800; Recall: 0.9093; ROC AUC: 0.5107
+[2024-05-21 17:07:12,569 INFO] Epoch:1, Snapshot:42; F1: 0.6201; Accuracy: 0.4720; Precision: 0.4752; Recall: 0.8923; ROC AUC: 0.4858
+[2024-05-21 17:07:13,350 INFO] Epoch:1, Snapshot:43; F1: 0.6074; Accuracy: 0.4610; Precision: 0.4567; Recall: 0.9065; ROC AUC: 0.4940
+[2024-05-21 17:07:14,147 INFO] Epoch:1, Snapshot:44; F1: 0.6699; Accuracy: 0.5260; Precision: 0.5374; Recall: 0.8891; ROC AUC: 0.4936
+[2024-05-21 17:07:15,007 INFO] Epoch:1, Snapshot:45; F1: 0.6778; Accuracy: 0.5350; Precision: 0.5403; Recall: 0.9089; ROC AUC: 0.5042
+[2024-05-21 17:07:15,900 INFO] Epoch:1, Snapshot:46; F1: 0.6543; Accuracy: 0.5150; Precision: 0.5100; Recall: 0.9125; ROC AUC: 0.5126
+[2024-05-21 17:07:16,617 INFO] Epoch:1, Snapshot:47; F1: 0.6125; Accuracy: 0.4710; Precision: 0.4676; Recall: 0.8875; ROC AUC: 0.4938
+[2024-05-21 17:07:17,555 INFO] Epoch:1, Snapshot:48; F1: 0.6193; Accuracy: 0.4800; Precision: 0.4732; Recall: 0.8962; ROC AUC: 0.5021
+[2024-05-21 17:07:18,415 INFO] Epoch:1, Snapshot:49; F1: 0.6516; Accuracy: 0.5060; Precision: 0.5088; Recall: 0.9059; ROC AUC: 0.4978
+[2024-05-21 17:07:19,259 INFO] Epoch:1, Snapshot:50; F1: 0.6171; Accuracy: 0.4750; Precision: 0.4674; Recall: 0.9077; ROC AUC: 0.5026
+[2024-05-21 17:07:20,119 INFO] Epoch:1, Snapshot:51; F1: 0.6320; Accuracy: 0.4910; Precision: 0.4888; Recall: 0.8937; ROC AUC: 0.4997
+[2024-05-21 17:07:20,963 INFO] Epoch:1, Snapshot:52; F1: 0.6557; Accuracy: 0.5190; Precision: 0.5199; Recall: 0.8876; ROC AUC: 0.5068
+[2024-05-21 17:07:21,854 INFO] Epoch:1, Snapshot:53; F1: 0.6657; Accuracy: 0.5270; Precision: 0.5245; Recall: 0.9110; ROC AUC: 0.5135
+[2024-05-21 17:07:22,667 INFO] Epoch:1, Snapshot:54; F1: 0.6156; Accuracy: 0.4730; Precision: 0.4694; Recall: 0.8941; ROC AUC: 0.4953
+[2024-05-21 17:07:23,511 INFO] Epoch:1, Snapshot:55; F1: 0.6765; Accuracy: 0.5370; Precision: 0.5390; Recall: 0.9081; ROC AUC: 0.5108
+[2024-05-21 17:07:24,339 INFO] Epoch:1, Snapshot:56; F1: 0.6529; Accuracy: 0.5120; Precision: 0.5146; Recall: 0.8930; ROC AUC: 0.5010
+[2024-05-21 17:07:25,104 INFO] Epoch:1, Snapshot:57; F1: 0.6662; Accuracy: 0.5260; Precision: 0.5209; Recall: 0.9238; ROC AUC: 0.5162
+[2024-05-21 17:07:25,922 INFO] Epoch:1, Snapshot:58; F1: 0.6297; Accuracy: 0.4860; Precision: 0.4905; Recall: 0.8793; ROC AUC: 0.4883
+[2024-05-21 17:07:26,871 INFO] Epoch:1, Snapshot:59; F1: 0.6740; Accuracy: 0.5270; Precision: 0.5344; Recall: 0.9123; ROC AUC: 0.4971
+[2024-05-21 17:07:27,730 INFO] Epoch:1, Snapshot:60; F1: 0.6434; Accuracy: 0.5000; Precision: 0.5045; Recall: 0.8878; ROC AUC: 0.4937
+[2024-05-21 17:07:28,730 INFO] Epoch:1, Snapshot:61; F1: 0.6343; Accuracy: 0.4960; Precision: 0.4877; Recall: 0.9066; ROC AUC: 0.5103
+[2024-05-21 17:07:29,736 INFO] Epoch:1, Snapshot:62; F1: 0.6166; Accuracy: 0.4740; Precision: 0.4747; Recall: 0.8794; ROC AUC: 0.4888
+[2024-05-21 17:07:30,762 INFO] Epoch:1, Snapshot:63; F1: 0.6467; Accuracy: 0.5050; Precision: 0.5050; Recall: 0.8988; ROC AUC: 0.5018
+[2024-05-21 17:07:31,715 INFO] Epoch:1, Snapshot:64; F1: 0.6278; Accuracy: 0.4830; Precision: 0.4744; Recall: 0.9277; ROC AUC: 0.5082
+[2024-05-21 17:07:32,591 INFO] Epoch:1, Snapshot:65; F1: 0.6031; Accuracy: 0.4590; Precision: 0.4597; Recall: 0.8763; ROC AUC: 0.4834
+[2024-05-21 17:07:33,560 INFO] Epoch:1, Snapshot:66; F1: 0.6932; Accuracy: 0.5530; Precision: 0.5630; Recall: 0.9018; ROC AUC: 0.5054
+[2024-05-21 17:07:34,404 INFO] Epoch:1, Snapshot:67; F1: 0.6387; Accuracy: 0.4920; Precision: 0.4956; Recall: 0.8980; ROC AUC: 0.4920
+[2024-05-21 17:07:35,170 INFO] Epoch:1, Snapshot:68; F1: 0.6323; Accuracy: 0.4930; Precision: 0.4861; Recall: 0.9046; ROC AUC: 0.5073
+[2024-05-21 17:07:36,061 INFO] Epoch:1, Snapshot:69; F1: 0.6298; Accuracy: 0.4850; Precision: 0.4861; Recall: 0.8939; ROC AUC: 0.4930
+[2024-05-21 17:07:36,952 INFO] Epoch:1, Snapshot:70; F1: 0.6653; Accuracy: 0.5220; Precision: 0.5260; Recall: 0.9048; ROC AUC: 0.5019
+[2024-05-21 17:07:37,780 INFO] Epoch:1, Snapshot:71; F1: 0.6390; Accuracy: 0.4960; Precision: 0.4934; Recall: 0.9065; ROC AUC: 0.5025
+[2024-05-21 17:07:38,608 INFO] Epoch:1, Snapshot:72; F1: 0.6234; Accuracy: 0.4840; Precision: 0.4744; Recall: 0.9085; ROC AUC: 0.5080
+[2024-05-21 17:07:39,311 INFO] Epoch:1, Snapshot:73; F1: 0.5753; Accuracy: 0.4300; Precision: 0.4228; Recall: 0.8998; ROC AUC: 0.4884
+[2024-05-21 17:07:40,108 INFO] Epoch:1, Snapshot:74; F1: 0.5949; Accuracy: 0.4580; Precision: 0.4452; Recall: 0.8964; ROC AUC: 0.5022
+[2024-05-21 17:07:40,921 INFO] Epoch:1, Snapshot:75; F1: 0.6070; Accuracy: 0.4640; Precision: 0.4585; Recall: 0.8980; ROC AUC: 0.4954
+[2024-05-21 17:07:41,687 INFO] Epoch:1, Snapshot:76; F1: 0.6312; Accuracy: 0.4940; Precision: 0.4876; Recall: 0.8946; ROC AUC: 0.5064
+[2024-05-21 17:07:42,624 INFO] Epoch:1, Snapshot:77; F1: 0.6524; Accuracy: 0.5130; Precision: 0.5095; Recall: 0.9067; ROC AUC: 0.5098
+[2024-05-21 17:07:43,516 INFO] Epoch:1, Snapshot:78; F1: 0.6717; Accuracy: 0.5260; Precision: 0.5389; Recall: 0.8915; ROC AUC: 0.4907
+[2024-05-21 17:07:44,375 INFO] Epoch:1, Snapshot:79; F1: 0.6639; Accuracy: 0.5200; Precision: 0.5243; Recall: 0.9046; ROC AUC: 0.5006
+[2024-05-21 17:07:45,188 INFO] Epoch:1, Snapshot:80; F1: 0.6428; Accuracy: 0.5020; Precision: 0.5011; Recall: 0.8960; ROC AUC: 0.5020
+[2024-05-21 17:07:46,156 INFO] Epoch:1, Snapshot:81; F1: 0.6606; Accuracy: 0.5120; Precision: 0.5163; Recall: 0.9170; ROC AUC: 0.4969
+[2024-05-21 17:07:46,969 INFO] Epoch:1, Snapshot:82; F1: 0.6267; Accuracy: 0.4890; Precision: 0.4756; Recall: 0.9186; ROC AUC: 0.5156
+[2024-05-21 17:07:47,953 INFO] Epoch:1, Snapshot:83; F1: 0.6723; Accuracy: 0.5320; Precision: 0.5316; Recall: 0.9143; ROC AUC: 0.5119
+[2024-05-21 17:07:48,797 INFO] Epoch:1, Snapshot:84; F1: 0.6505; Accuracy: 0.5090; Precision: 0.5152; Recall: 0.8822; ROC AUC: 0.4951
+[2024-05-21 17:07:49,672 INFO] Epoch:1, Snapshot:85; F1: 0.6667; Accuracy: 0.5290; Precision: 0.5310; Recall: 0.8954; ROC AUC: 0.5089
+[2024-05-21 17:07:50,547 INFO] Epoch:1, Snapshot:86; F1: 0.6353; Accuracy: 0.4880; Precision: 0.4972; Recall: 0.8797; ROC AUC: 0.4824
+[2024-05-21 17:07:51,470 INFO] Epoch:1, Snapshot:87; F1: 0.6268; Accuracy: 0.4820; Precision: 0.4812; Recall: 0.8988; ROC AUC: 0.4949
+[2024-05-21 17:07:52,314 INFO] Epoch:1, Snapshot:88; F1: 0.6284; Accuracy: 0.4890; Precision: 0.4892; Recall: 0.8780; ROC AUC: 0.4951
+[2024-05-21 17:07:53,361 INFO] Epoch:1, Snapshot:89; F1: 0.6676; Accuracy: 0.5220; Precision: 0.5363; Recall: 0.8840; ROC AUC: 0.4879
+[2024-05-21 17:07:54,111 INFO] Epoch:1, Snapshot:90; F1: 0.6325; Accuracy: 0.4910; Precision: 0.4834; Recall: 0.9144; ROC AUC: 0.5081
+[2024-05-21 17:07:55,017 INFO] Epoch:1, Snapshot:91; F1: 0.6765; Accuracy: 0.5380; Precision: 0.5445; Recall: 0.8928; ROC AUC: 0.5063
+[2024-05-21 17:07:55,877 INFO] Epoch:1, Snapshot:92; F1: 0.6293; Accuracy: 0.4840; Precision: 0.4813; Recall: 0.9087; ROC AUC: 0.4988
+[2024-05-21 17:07:56,705 INFO] Epoch:1, Snapshot:93; F1: 0.6485; Accuracy: 0.5100; Precision: 0.5067; Recall: 0.9004; ROC AUC: 0.5084
+[2024-05-21 17:07:57,487 INFO] Epoch:1, Snapshot:94; F1: 0.6262; Accuracy: 0.4830; Precision: 0.4833; Recall: 0.8891; ROC AUC: 0.4933
+[2024-05-21 17:07:58,367 INFO] Epoch:1, Snapshot:95; F1: 0.6681; Accuracy: 0.5240; Precision: 0.5270; Recall: 0.9124; ROC AUC: 0.5036
+[2024-05-21 17:07:59,315 INFO] Epoch:1, Snapshot:96; F1: 0.6488; Accuracy: 0.5010; Precision: 0.4995; Recall: 0.9257; ROC AUC: 0.5027
+[2024-05-21 17:08:00,237 INFO] Epoch:1, Snapshot:97; F1: 0.6681; Accuracy: 0.5230; Precision: 0.5292; Recall: 0.9057; ROC AUC: 0.4986
+[2024-05-21 17:08:01,018 INFO] Epoch:1, Snapshot:98; F1: 0.6521; Accuracy: 0.5070; Precision: 0.5111; Recall: 0.9006; ROC AUC: 0.4965
+[2024-05-21 17:08:01,878 INFO] Epoch:1, Snapshot:99; F1: 0.6291; Accuracy: 0.4860; Precision: 0.4861; Recall: 0.8916; ROC AUC: 0.4947
+[2024-05-21 17:08:02,956 INFO] Epoch:1, Snapshot:100; F1: 0.6587; Accuracy: 0.5150; Precision: 0.5160; Recall: 0.9105; ROC AUC: 0.5036
+[2024-05-21 17:08:03,821 INFO] Epoch:1, Snapshot:101; F1: 0.6203; Accuracy: 0.4810; Precision: 0.4743; Recall: 0.8964; ROC AUC: 0.5023
+[2024-05-21 17:08:04,692 INFO] Epoch:1, Snapshot:102; F1: 0.6350; Accuracy: 0.4930; Precision: 0.4922; Recall: 0.8945; ROC AUC: 0.4985
+[2024-05-21 17:08:05,567 INFO] Epoch:1, Snapshot:103; F1: 0.6321; Accuracy: 0.4890; Precision: 0.4878; Recall: 0.8978; ROC AUC: 0.4978
+[2024-05-21 17:08:06,349 INFO] Epoch:1, Snapshot:104; F1: 0.6432; Accuracy: 0.5040; Precision: 0.4923; Recall: 0.9274; ROC AUC: 0.5187
+[2024-05-21 17:08:07,240 INFO] Epoch:1, Snapshot:105; F1: 0.5881; Accuracy: 0.4410; Precision: 0.4365; Recall: 0.9007; ROC AUC: 0.4880
+[2024-05-21 17:08:08,146 INFO] Epoch:1, Snapshot:106; F1: 0.5761; Accuracy: 0.4350; Precision: 0.4248; Recall: 0.8951; ROC AUC: 0.4922
+[2024-05-21 17:08:09,037 INFO] Epoch:1, Snapshot:107; F1: 0.6224; Accuracy: 0.4820; Precision: 0.4792; Recall: 0.8877; ROC AUC: 0.4969
+[2024-05-21 17:08:10,021 INFO] Epoch:1, Snapshot:108; F1: 0.6459; Accuracy: 0.5000; Precision: 0.5061; Recall: 0.8924; ROC AUC: 0.4912
+[2024-05-21 17:08:10,928 INFO] Epoch:1, Snapshot:109; F1: 0.6261; Accuracy: 0.4780; Precision: 0.4845; Recall: 0.8846; ROC AUC: 0.4828
+[2024-05-21 17:08:11,772 INFO] Epoch:1, Snapshot:110; F1: 0.6495; Accuracy: 0.5100; Precision: 0.5056; Recall: 0.9080; ROC AUC: 0.5100
+[2024-05-21 17:08:12,600 INFO] Epoch:1, Snapshot:111; F1: 0.6261; Accuracy: 0.4840; Precision: 0.4758; Recall: 0.9153; ROC AUC: 0.5069
+[2024-05-21 17:08:13,681 INFO] Epoch:1, Snapshot:112; F1: 0.6293; Accuracy: 0.4840; Precision: 0.4932; Recall: 0.8690; ROC AUC: 0.4809
+[2024-05-21 17:08:14,554 INFO] Epoch:1, Snapshot:113; F1: 0.6399; Accuracy: 0.4980; Precision: 0.4923; Recall: 0.9139; ROC AUC: 0.5077
+[2024-05-21 17:08:15,633 INFO] Epoch:1, Snapshot:114; F1: 0.6662; Accuracy: 0.5230; Precision: 0.5277; Recall: 0.9032; ROC AUC: 0.5013
+[2024-05-21 17:08:16,681 INFO] Epoch:1, Snapshot:115; F1: 0.6159; Accuracy: 0.4700; Precision: 0.4696; Recall: 0.8947; ROC AUC: 0.4902
+[2024-05-21 17:08:17,666 INFO] Epoch:1, Snapshot:116; F1: 0.6378; Accuracy: 0.4900; Precision: 0.4907; Recall: 0.9108; ROC AUC: 0.4958
+[2024-05-21 17:08:18,682 INFO] Epoch:1, Snapshot:117; F1: 0.6185; Accuracy: 0.4830; Precision: 0.4767; Recall: 0.8803; ROC AUC: 0.5012
+[2024-05-21 17:08:19,650 INFO] Epoch:1, Snapshot:118; F1: 0.6657; Accuracy: 0.5260; Precision: 0.5268; Recall: 0.9042; ROC AUC: 0.5086
+[2024-05-21 17:08:20,651 INFO] Epoch:1, Snapshot:119; F1: 0.6298; Accuracy: 0.4840; Precision: 0.4856; Recall: 0.8959; ROC AUC: 0.4921
+[2024-05-21 17:08:21,635 INFO] Epoch:1, Snapshot:120; F1: 0.6286; Accuracy: 0.4860; Precision: 0.4833; Recall: 0.8988; ROC AUC: 0.4988
+[2024-05-21 17:08:22,558 INFO] Epoch:1, Snapshot:121; F1: 0.6286; Accuracy: 0.4860; Precision: 0.4904; Recall: 0.8753; ROC AUC: 0.4883
+[2024-05-21 17:08:23,433 INFO] Epoch:1, Snapshot:122; F1: 0.6805; Accuracy: 0.5390; Precision: 0.5425; Recall: 0.9126; ROC AUC: 0.5083
+[2024-05-21 17:08:24,434 INFO] Epoch:1, Snapshot:123; F1: 0.6296; Accuracy: 0.4870; Precision: 0.4855; Recall: 0.8953; ROC AUC: 0.4973
+[2024-05-21 17:08:24,449 INFO] Epoch:1, Snapshot: 45; Loss: 0.6983
+[2024-05-21 17:08:31,795 INFO] Epoch:1, Snapshot:37; F1: 0.6942; Accuracy: 0.5480; Precision: 0.5650; Recall: 0.9000; ROC AUC: 0.4907
+[2024-05-21 17:08:32,701 INFO] Epoch:1, Snapshot:38; F1: 0.6844; Accuracy: 0.5490; Precision: 0.5507; Recall: 0.9039; ROC AUC: 0.5173
+[2024-05-21 17:08:33,404 INFO] Epoch:1, Snapshot:39; F1: 0.6294; Accuracy: 0.4900; Precision: 0.4790; Recall: 0.9174; ROC AUC: 0.5127
+[2024-05-21 17:08:34,217 INFO] Epoch:1, Snapshot:40; F1: 0.6704; Accuracy: 0.5280; Precision: 0.5269; Recall: 0.9213; ROC AUC: 0.5108
+[2024-05-21 17:08:34,998 INFO] Epoch:1, Snapshot:41; F1: 0.6205; Accuracy: 0.4850; Precision: 0.4768; Recall: 0.8882; ROC AUC: 0.5049
+[2024-05-21 17:08:35,842 INFO] Epoch:1, Snapshot:42; F1: 0.6241; Accuracy: 0.4820; Precision: 0.4804; Recall: 0.8903; ROC AUC: 0.4954
+[2024-05-21 17:08:36,624 INFO] Epoch:1, Snapshot:43; F1: 0.6144; Accuracy: 0.4740; Precision: 0.4635; Recall: 0.9109; ROC AUC: 0.5064
+[2024-05-21 17:08:37,468 INFO] Epoch:1, Snapshot:44; F1: 0.6913; Accuracy: 0.5480; Precision: 0.5482; Recall: 0.9353; ROC AUC: 0.5134
+[2024-05-21 17:08:38,343 INFO] Epoch:1, Snapshot:45; F1: 0.6728; Accuracy: 0.5350; Precision: 0.5413; Recall: 0.8885; ROC AUC: 0.5059
+[2024-05-21 17:08:39,234 INFO] Epoch:1, Snapshot:46; F1: 0.6559; Accuracy: 0.5110; Precision: 0.5076; Recall: 0.9264; ROC AUC: 0.5085
+[2024-05-21 17:08:40,078 INFO] Epoch:1, Snapshot:47; F1: 0.6118; Accuracy: 0.4670; Precision: 0.4656; Recall: 0.8917; ROC AUC: 0.4903
+[2024-05-21 17:08:41,015 INFO] Epoch:1, Snapshot:48; F1: 0.6130; Accuracy: 0.4660; Precision: 0.4659; Recall: 0.8962; ROC AUC: 0.4888
+[2024-05-21 17:08:41,875 INFO] Epoch:1, Snapshot:49; F1: 0.6493; Accuracy: 0.5020; Precision: 0.5066; Recall: 0.9039; ROC AUC: 0.4938
+[2024-05-21 17:08:42,672 INFO] Epoch:1, Snapshot:50; F1: 0.6157; Accuracy: 0.4720; Precision: 0.4659; Recall: 0.9077; ROC AUC: 0.4997
+[2024-05-21 17:08:43,563 INFO] Epoch:1, Snapshot:51; F1: 0.6316; Accuracy: 0.4890; Precision: 0.4878; Recall: 0.8957; ROC AUC: 0.4978
+[2024-05-21 17:08:44,391 INFO] Epoch:1, Snapshot:52; F1: 0.6569; Accuracy: 0.5080; Precision: 0.5131; Recall: 0.9128; ROC AUC: 0.4946
+[2024-05-21 17:08:45,282 INFO] Epoch:1, Snapshot:53; F1: 0.6454; Accuracy: 0.5000; Precision: 0.5095; Recall: 0.8801; ROC AUC: 0.4866
+[2024-05-21 17:08:46,110 INFO] Epoch:1, Snapshot:54; F1: 0.6135; Accuracy: 0.4670; Precision: 0.4664; Recall: 0.8962; ROC AUC: 0.4898
+[2024-05-21 17:08:46,939 INFO] Epoch:1, Snapshot:55; F1: 0.6605; Accuracy: 0.5200; Precision: 0.5301; Recall: 0.8762; ROC AUC: 0.4948
+[2024-05-21 17:08:47,767 INFO] Epoch:1, Snapshot:56; F1: 0.6563; Accuracy: 0.5120; Precision: 0.5143; Recall: 0.9066; ROC AUC: 0.5006
+[2024-05-21 17:08:48,532 INFO] Epoch:1, Snapshot:57; F1: 0.6638; Accuracy: 0.5260; Precision: 0.5212; Recall: 0.9141; ROC AUC: 0.5165
+[2024-05-21 17:08:49,329 INFO] Epoch:1, Snapshot:58; F1: 0.6418; Accuracy: 0.5000; Precision: 0.4983; Recall: 0.9014; ROC AUC: 0.5024
+[2024-05-21 17:08:50,283 INFO] Epoch:1, Snapshot:59; F1: 0.6755; Accuracy: 0.5320; Precision: 0.5375; Recall: 0.9086; ROC AUC: 0.5028
+[2024-05-21 17:08:51,142 INFO] Epoch:1, Snapshot:60; F1: 0.6446; Accuracy: 0.4960; Precision: 0.5022; Recall: 0.8996; ROC AUC: 0.4894
+[2024-05-21 17:08:52,174 INFO] Epoch:1, Snapshot:61; F1: 0.6265; Accuracy: 0.4860; Precision: 0.4821; Recall: 0.8942; ROC AUC: 0.5002
+[2024-05-21 17:08:53,143 INFO] Epoch:1, Snapshot:62; F1: 0.6137; Accuracy: 0.4650; Precision: 0.4701; Recall: 0.8836; ROC AUC: 0.4803
+[2024-05-21 17:08:54,222 INFO] Epoch:1, Snapshot:63; F1: 0.6511; Accuracy: 0.5070; Precision: 0.5061; Recall: 0.9127; ROC AUC: 0.5037
+[2024-05-21 17:08:55,159 INFO] Epoch:1, Snapshot:64; F1: 0.6194; Accuracy: 0.4790; Precision: 0.4716; Recall: 0.9021; ROC AUC: 0.5030
+[2024-05-21 17:08:56,050 INFO] Epoch:1, Snapshot:65; F1: 0.6145; Accuracy: 0.4780; Precision: 0.4701; Recall: 0.8870; ROC AUC: 0.5019
+[2024-05-21 17:08:57,066 INFO] Epoch:1, Snapshot:66; F1: 0.6850; Accuracy: 0.5420; Precision: 0.5570; Recall: 0.8893; ROC AUC: 0.4946
+[2024-05-21 17:08:57,895 INFO] Epoch:1, Snapshot:67; F1: 0.6388; Accuracy: 0.4910; Precision: 0.4950; Recall: 0.9000; ROC AUC: 0.4910
+[2024-05-21 17:08:58,660 INFO] Epoch:1, Snapshot:68; F1: 0.6264; Accuracy: 0.4870; Precision: 0.4826; Recall: 0.8921; ROC AUC: 0.5011
+[2024-05-21 17:08:59,488 INFO] Epoch:1, Snapshot:69; F1: 0.6368; Accuracy: 0.4970; Precision: 0.4927; Recall: 0.9000; ROC AUC: 0.5049
+[2024-05-21 17:09:00,457 INFO] Epoch:1, Snapshot:70; F1: 0.6596; Accuracy: 0.5190; Precision: 0.5248; Recall: 0.8876; ROC AUC: 0.4996
+[2024-05-21 17:09:01,301 INFO] Epoch:1, Snapshot:71; F1: 0.6498; Accuracy: 0.5150; Precision: 0.5039; Recall: 0.9146; ROC AUC: 0.5213
+[2024-05-21 17:09:02,161 INFO] Epoch:1, Snapshot:72; F1: 0.6156; Accuracy: 0.4780; Precision: 0.4707; Recall: 0.8894; ROC AUC: 0.5013
+[2024-05-21 17:09:02,865 INFO] Epoch:1, Snapshot:73; F1: 0.5956; Accuracy: 0.4650; Precision: 0.4407; Recall: 0.9184; ROC AUC: 0.5214
+[2024-05-21 17:09:03,677 INFO] Epoch:1, Snapshot:74; F1: 0.5981; Accuracy: 0.4570; Precision: 0.4454; Recall: 0.9099; ROC AUC: 0.5026
+[2024-05-21 17:09:04,490 INFO] Epoch:1, Snapshot:75; F1: 0.6057; Accuracy: 0.4650; Precision: 0.4587; Recall: 0.8915; ROC AUC: 0.4959
+[2024-05-21 17:09:05,255 INFO] Epoch:1, Snapshot:76; F1: 0.6383; Accuracy: 0.4980; Precision: 0.4900; Recall: 0.9153; ROC AUC: 0.5109
+[2024-05-21 17:09:06,193 INFO] Epoch:1, Snapshot:77; F1: 0.6445; Accuracy: 0.4980; Precision: 0.5011; Recall: 0.9028; ROC AUC: 0.4947
+[2024-05-21 17:09:07,100 INFO] Epoch:1, Snapshot:78; F1: 0.6797; Accuracy: 0.5410; Precision: 0.5478; Recall: 0.8952; ROC AUC: 0.5068
+[2024-05-21 17:09:07,976 INFO] Epoch:1, Snapshot:79; F1: 0.6639; Accuracy: 0.5190; Precision: 0.5237; Recall: 0.9065; ROC AUC: 0.4995
+[2024-05-21 17:09:08,773 INFO] Epoch:1, Snapshot:80; F1: 0.6454; Accuracy: 0.5000; Precision: 0.5000; Recall: 0.9100; ROC AUC: 0.5000
+[2024-05-21 17:09:09,711 INFO] Epoch:1, Snapshot:81; F1: 0.6611; Accuracy: 0.5170; Precision: 0.5193; Recall: 0.9093; ROC AUC: 0.5024
+[2024-05-21 17:09:10,508 INFO] Epoch:1, Snapshot:82; F1: 0.6099; Accuracy: 0.4640; Precision: 0.4620; Recall: 0.8972; ROC AUC: 0.4908
+[2024-05-21 17:09:11,524 INFO] Epoch:1, Snapshot:83; F1: 0.6643; Accuracy: 0.5190; Precision: 0.5242; Recall: 0.9067; ROC AUC: 0.4986
+[2024-05-21 17:09:12,353 INFO] Epoch:1, Snapshot:84; F1: 0.6555; Accuracy: 0.5060; Precision: 0.5131; Recall: 0.9073; ROC AUC: 0.4910
+[2024-05-21 17:09:13,197 INFO] Epoch:1, Snapshot:85; F1: 0.6676; Accuracy: 0.5260; Precision: 0.5289; Recall: 0.9049; ROC AUC: 0.5052
+[2024-05-21 17:09:14,088 INFO] Epoch:1, Snapshot:86; F1: 0.6481; Accuracy: 0.5070; Precision: 0.5078; Recall: 0.8955; ROC AUC: 0.5015
+[2024-05-21 17:09:14,979 INFO] Epoch:1, Snapshot:87; F1: 0.6264; Accuracy: 0.4870; Precision: 0.4837; Recall: 0.8884; ROC AUC: 0.4994
+[2024-05-21 17:09:15,856 INFO] Epoch:1, Snapshot:88; F1: 0.6384; Accuracy: 0.4970; Precision: 0.4939; Recall: 0.9024; ROC AUC: 0.5034
+[2024-05-21 17:09:16,916 INFO] Epoch:1, Snapshot:89; F1: 0.6770; Accuracy: 0.5400; Precision: 0.5471; Recall: 0.8877; ROC AUC: 0.5073
+[2024-05-21 17:09:17,713 INFO] Epoch:1, Snapshot:90; F1: 0.6404; Accuracy: 0.4980; Precision: 0.4875; Recall: 0.9332; ROC AUC: 0.5155
+[2024-05-21 17:09:18,651 INFO] Epoch:1, Snapshot:91; F1: 0.6792; Accuracy: 0.5380; Precision: 0.5439; Recall: 0.9039; ROC AUC: 0.5053
+[2024-05-21 17:09:19,495 INFO] Epoch:1, Snapshot:92; F1: 0.6184; Accuracy: 0.4730; Precision: 0.4750; Recall: 0.8859; ROC AUC: 0.4873
+[2024-05-21 17:09:20,324 INFO] Epoch:1, Snapshot:93; F1: 0.6386; Accuracy: 0.4930; Precision: 0.4972; Recall: 0.8924; ROC AUC: 0.4914
+[2024-05-21 17:09:21,074 INFO] Epoch:1, Snapshot:94; F1: 0.6319; Accuracy: 0.4920; Precision: 0.4882; Recall: 0.8953; ROC AUC: 0.5022
+[2024-05-21 17:09:21,933 INFO] Epoch:1, Snapshot:95; F1: 0.6676; Accuracy: 0.5270; Precision: 0.5290; Recall: 0.9048; ROC AUC: 0.5071
+[2024-05-21 17:09:22,840 INFO] Epoch:1, Snapshot:96; F1: 0.6326; Accuracy: 0.4820; Precision: 0.4890; Recall: 0.8956; ROC AUC: 0.4836
+[2024-05-21 17:09:23,793 INFO] Epoch:1, Snapshot:97; F1: 0.6667; Accuracy: 0.5220; Precision: 0.5288; Recall: 0.9019; ROC AUC: 0.4978
+[2024-05-21 17:09:24,559 INFO] Epoch:1, Snapshot:98; F1: 0.6506; Accuracy: 0.5070; Precision: 0.5111; Recall: 0.8947; ROC AUC: 0.4966
+[2024-05-21 17:09:25,387 INFO] Epoch:1, Snapshot:99; F1: 0.6387; Accuracy: 0.5000; Precision: 0.4939; Recall: 0.9039; ROC AUC: 0.5087
+[2024-05-21 17:09:26,481 INFO] Epoch:1, Snapshot:100; F1: 0.6364; Accuracy: 0.4950; Precision: 0.5051; Recall: 0.8599; ROC AUC: 0.4845
+[2024-05-21 17:09:27,373 INFO] Epoch:1, Snapshot:101; F1: 0.6277; Accuracy: 0.4900; Precision: 0.4794; Recall: 0.9091; ROC AUC: 0.5115
+[2024-05-21 17:09:28,217 INFO] Epoch:1, Snapshot:102; F1: 0.6422; Accuracy: 0.5020; Precision: 0.4972; Recall: 0.9067; ROC AUC: 0.5076
+[2024-05-21 17:09:29,060 INFO] Epoch:1, Snapshot:103; F1: 0.6461; Accuracy: 0.5070; Precision: 0.4978; Recall: 0.9202; ROC AUC: 0.5159
+[2024-05-21 17:09:29,920 INFO] Epoch:1, Snapshot:104; F1: 0.6354; Accuracy: 0.4950; Precision: 0.4873; Recall: 0.9129; ROC AUC: 0.5095
+[2024-05-21 17:09:30,827 INFO] Epoch:1, Snapshot:105; F1: 0.5898; Accuracy: 0.4520; Precision: 0.4412; Recall: 0.8894; ROC AUC: 0.4968
+[2024-05-21 17:09:31,764 INFO] Epoch:1, Snapshot:106; F1: 0.5920; Accuracy: 0.4570; Precision: 0.4368; Recall: 0.9184; ROC AUC: 0.5144
+[2024-05-21 17:09:32,671 INFO] Epoch:1, Snapshot:107; F1: 0.6096; Accuracy: 0.4620; Precision: 0.4682; Recall: 0.8732; ROC AUC: 0.4771
+[2024-05-21 17:09:33,687 INFO] Epoch:1, Snapshot:108; F1: 0.6601; Accuracy: 0.5170; Precision: 0.5154; Recall: 0.9178; ROC AUC: 0.5080
+[2024-05-21 17:09:34,624 INFO] Epoch:1, Snapshot:109; F1: 0.6390; Accuracy: 0.5040; Precision: 0.4989; Recall: 0.8887; ROC AUC: 0.5086
+[2024-05-21 17:09:35,484 INFO] Epoch:1, Snapshot:110; F1: 0.6435; Accuracy: 0.4980; Precision: 0.4989; Recall: 0.9060; ROC AUC: 0.4980
+[2024-05-21 17:09:36,281 INFO] Epoch:1, Snapshot:111; F1: 0.6323; Accuracy: 0.4940; Precision: 0.4812; Recall: 0.9216; ROC AUC: 0.5167
+[2024-05-21 17:09:37,329 INFO] Epoch:1, Snapshot:112; F1: 0.6547; Accuracy: 0.5190; Precision: 0.5129; Recall: 0.9048; ROC AUC: 0.5159
+[2024-05-21 17:09:38,204 INFO] Epoch:1, Snapshot:113; F1: 0.6379; Accuracy: 0.4970; Precision: 0.4917; Recall: 0.9078; ROC AUC: 0.5066
+[2024-05-21 17:09:39,267 INFO] Epoch:1, Snapshot:114; F1: 0.6615; Accuracy: 0.5190; Precision: 0.5257; Recall: 0.8918; ROC AUC: 0.4977
+[2024-05-21 17:09:40,362 INFO] Epoch:1, Snapshot:115; F1: 0.6297; Accuracy: 0.4930; Precision: 0.4821; Recall: 0.9074; ROC AUC: 0.5127
+[2024-05-21 17:09:41,409 INFO] Epoch:1, Snapshot:116; F1: 0.6409; Accuracy: 0.4980; Precision: 0.4950; Recall: 0.9087; ROC AUC: 0.5037
+[2024-05-21 17:09:42,441 INFO] Epoch:1, Snapshot:117; F1: 0.6154; Accuracy: 0.4750; Precision: 0.4724; Recall: 0.8824; ROC AUC: 0.4937
+[2024-05-21 17:09:43,426 INFO] Epoch:1, Snapshot:118; F1: 0.6638; Accuracy: 0.5300; Precision: 0.5297; Recall: 0.8889; ROC AUC: 0.5135
+[2024-05-21 17:09:44,411 INFO] Epoch:1, Snapshot:119; F1: 0.6447; Accuracy: 0.5030; Precision: 0.4961; Recall: 0.9204; ROC AUC: 0.5112
+[2024-05-21 17:09:45,412 INFO] Epoch:1, Snapshot:120; F1: 0.6274; Accuracy: 0.4810; Precision: 0.4807; Recall: 0.9029; ROC AUC: 0.4941
+[2024-05-21 17:09:46,349 INFO] Epoch:1, Snapshot:121; F1: 0.6562; Accuracy: 0.5200; Precision: 0.5095; Recall: 0.9215; ROC AUC: 0.5224
+[2024-05-21 17:09:47,240 INFO] Epoch:1, Snapshot:122; F1: 0.6749; Accuracy: 0.5290; Precision: 0.5368; Recall: 0.9089; ROC AUC: 0.4978
+[2024-05-21 17:09:48,240 INFO] Epoch:1, Snapshot:123; F1: 0.6170; Accuracy: 0.4760; Precision: 0.4790; Recall: 0.8665; ROC AUC: 0.4859
+[2024-05-21 17:09:48,256 INFO] Epoch:1, Snapshot: 46; Loss: 0.6969
+[2024-05-21 17:09:55,242 INFO] Epoch:1, Snapshot:37; F1: 0.6921; Accuracy: 0.5480; Precision: 0.5657; Recall: 0.8912; ROC AUC: 0.4921
+[2024-05-21 17:09:56,086 INFO] Epoch:1, Snapshot:38; F1: 0.6772; Accuracy: 0.5300; Precision: 0.5388; Recall: 0.9113; ROC AUC: 0.4959
+[2024-05-21 17:09:56,790 INFO] Epoch:1, Snapshot:39; F1: 0.6209; Accuracy: 0.4810; Precision: 0.4738; Recall: 0.9004; ROC AUC: 0.5032
+[2024-05-21 17:09:57,602 INFO] Epoch:1, Snapshot:40; F1: 0.6582; Accuracy: 0.5130; Precision: 0.5188; Recall: 0.9002; ROC AUC: 0.4960
+[2024-05-21 17:09:58,352 INFO] Epoch:1, Snapshot:41; F1: 0.6116; Accuracy: 0.4690; Precision: 0.4681; Recall: 0.8819; ROC AUC: 0.4894
+[2024-05-21 17:09:59,197 INFO] Epoch:1, Snapshot:42; F1: 0.6277; Accuracy: 0.4840; Precision: 0.4817; Recall: 0.9006; ROC AUC: 0.4977
+[2024-05-21 17:09:59,994 INFO] Epoch:1, Snapshot:43; F1: 0.6111; Accuracy: 0.4680; Precision: 0.4604; Recall: 0.9087; ROC AUC: 0.5006
+[2024-05-21 17:10:00,791 INFO] Epoch:1, Snapshot:44; F1: 0.6685; Accuracy: 0.5260; Precision: 0.5377; Recall: 0.8835; ROC AUC: 0.4941
+[2024-05-21 17:10:01,651 INFO] Epoch:1, Snapshot:45; F1: 0.6773; Accuracy: 0.5360; Precision: 0.5411; Recall: 0.9052; ROC AUC: 0.5056
+[2024-05-21 17:10:02,557 INFO] Epoch:1, Snapshot:46; F1: 0.6358; Accuracy: 0.4970; Precision: 0.5000; Recall: 0.8728; ROC AUC: 0.4947
+[2024-05-21 17:10:03,292 INFO] Epoch:1, Snapshot:47; F1: 0.6245; Accuracy: 0.4840; Precision: 0.4751; Recall: 0.9108; ROC AUC: 0.5074
+[2024-05-21 17:10:04,199 INFO] Epoch:1, Snapshot:48; F1: 0.6268; Accuracy: 0.4880; Precision: 0.4778; Recall: 0.9110; ROC AUC: 0.5104
+[2024-05-21 17:10:05,105 INFO] Epoch:1, Snapshot:49; F1: 0.6406; Accuracy: 0.4940; Precision: 0.5022; Recall: 0.8843; ROC AUC: 0.4860
+[2024-05-21 17:10:05,950 INFO] Epoch:1, Snapshot:50; F1: 0.6232; Accuracy: 0.4860; Precision: 0.4733; Recall: 0.9120; ROC AUC: 0.5131
+[2024-05-21 17:10:06,810 INFO] Epoch:1, Snapshot:51; F1: 0.6350; Accuracy: 0.4930; Precision: 0.4900; Recall: 0.9018; ROC AUC: 0.5018
+[2024-05-21 17:10:07,622 INFO] Epoch:1, Snapshot:52; F1: 0.6544; Accuracy: 0.5100; Precision: 0.5144; Recall: 0.8992; ROC AUC: 0.4971
+[2024-05-21 17:10:08,513 INFO] Epoch:1, Snapshot:53; F1: 0.6494; Accuracy: 0.5120; Precision: 0.5166; Recall: 0.8743; ROC AUC: 0.4992
+[2024-05-21 17:10:09,341 INFO] Epoch:1, Snapshot:54; F1: 0.6219; Accuracy: 0.4820; Precision: 0.4744; Recall: 0.9025; ROC AUC: 0.5043
+[2024-05-21 17:10:10,201 INFO] Epoch:1, Snapshot:55; F1: 0.6662; Accuracy: 0.5260; Precision: 0.5333; Recall: 0.8874; ROC AUC: 0.5005
+[2024-05-21 17:10:11,013 INFO] Epoch:1, Snapshot:56; F1: 0.6543; Accuracy: 0.5140; Precision: 0.5157; Recall: 0.8949; ROC AUC: 0.5030
+[2024-05-21 17:10:11,795 INFO] Epoch:1, Snapshot:57; F1: 0.6458; Accuracy: 0.5030; Precision: 0.5084; Recall: 0.8848; ROC AUC: 0.4936
+[2024-05-21 17:10:12,596 INFO] Epoch:1, Snapshot:58; F1: 0.6441; Accuracy: 0.5050; Precision: 0.5011; Recall: 0.9014; ROC AUC: 0.5074
+[2024-05-21 17:10:13,577 INFO] Epoch:1, Snapshot:59; F1: 0.6778; Accuracy: 0.5380; Precision: 0.5412; Recall: 0.9067; ROC AUC: 0.5094
+[2024-05-21 17:10:14,470 INFO] Epoch:1, Snapshot:60; F1: 0.6578; Accuracy: 0.5120; Precision: 0.5109; Recall: 0.9232; ROC AUC: 0.5053
+[2024-05-21 17:10:15,453 INFO] Epoch:1, Snapshot:61; F1: 0.6277; Accuracy: 0.4840; Precision: 0.4812; Recall: 0.9025; ROC AUC: 0.4985
+[2024-05-21 17:10:16,437 INFO] Epoch:1, Snapshot:62; F1: 0.6346; Accuracy: 0.4910; Precision: 0.4846; Recall: 0.9189; ROC AUC: 0.5067
+[2024-05-21 17:10:17,454 INFO] Epoch:1, Snapshot:63; F1: 0.6321; Accuracy: 0.4820; Precision: 0.4923; Recall: 0.8829; ROC AUC: 0.4788
+[2024-05-21 17:10:18,391 INFO] Epoch:1, Snapshot:64; F1: 0.6027; Accuracy: 0.4660; Precision: 0.4634; Recall: 0.8617; ROC AUC: 0.4884
+[2024-05-21 17:10:19,298 INFO] Epoch:1, Snapshot:65; F1: 0.6116; Accuracy: 0.4690; Precision: 0.4655; Recall: 0.8913; ROC AUC: 0.4937
+[2024-05-21 17:10:20,267 INFO] Epoch:1, Snapshot:66; F1: 0.7016; Accuracy: 0.5670; Precision: 0.5713; Recall: 0.9089; ROC AUC: 0.5204
+[2024-05-21 17:10:21,111 INFO] Epoch:1, Snapshot:67; F1: 0.6410; Accuracy: 0.5060; Precision: 0.5034; Recall: 0.8820; ROC AUC: 0.5060
+[2024-05-21 17:10:21,877 INFO] Epoch:1, Snapshot:68; F1: 0.6217; Accuracy: 0.4730; Precision: 0.4753; Recall: 0.8983; ROC AUC: 0.4878
+[2024-05-21 17:10:22,721 INFO] Epoch:1, Snapshot:69; F1: 0.6356; Accuracy: 0.4920; Precision: 0.4900; Recall: 0.9041; ROC AUC: 0.5001
+[2024-05-21 17:10:23,643 INFO] Epoch:1, Snapshot:70; F1: 0.6671; Accuracy: 0.5270; Precision: 0.5290; Recall: 0.9029; ROC AUC: 0.5072
+[2024-05-21 17:10:24,487 INFO] Epoch:1, Snapshot:71; F1: 0.6515; Accuracy: 0.5110; Precision: 0.5016; Recall: 0.9289; ROC AUC: 0.5176
+[2024-05-21 17:10:25,330 INFO] Epoch:1, Snapshot:72; F1: 0.6182; Accuracy: 0.4700; Precision: 0.4673; Recall: 0.9128; ROC AUC: 0.4951
+[2024-05-21 17:10:26,034 INFO] Epoch:1, Snapshot:73; F1: 0.5757; Accuracy: 0.4310; Precision: 0.4232; Recall: 0.8998; ROC AUC: 0.4893
+[2024-05-21 17:10:26,800 INFO] Epoch:1, Snapshot:74; F1: 0.5955; Accuracy: 0.4660; Precision: 0.4486; Recall: 0.8851; ROC AUC: 0.5082
+[2024-05-21 17:10:27,628 INFO] Epoch:1, Snapshot:75; F1: 0.6191; Accuracy: 0.4770; Precision: 0.4660; Recall: 0.9219; ROC AUC: 0.5092
+[2024-05-21 17:10:28,394 INFO] Epoch:1, Snapshot:76; F1: 0.6404; Accuracy: 0.4980; Precision: 0.4901; Recall: 0.9236; ROC AUC: 0.5112
+[2024-05-21 17:10:29,316 INFO] Epoch:1, Snapshot:77; F1: 0.6410; Accuracy: 0.4960; Precision: 0.5000; Recall: 0.8929; ROC AUC: 0.4928
+[2024-05-21 17:10:30,207 INFO] Epoch:1, Snapshot:78; F1: 0.6833; Accuracy: 0.5420; Precision: 0.5477; Recall: 0.9081; ROC AUC: 0.5067
+[2024-05-21 17:10:31,082 INFO] Epoch:1, Snapshot:79; F1: 0.6690; Accuracy: 0.5250; Precision: 0.5269; Recall: 0.9160; ROC AUC: 0.5053
+[2024-05-21 17:10:31,879 INFO] Epoch:1, Snapshot:80; F1: 0.6586; Accuracy: 0.5190; Precision: 0.5105; Recall: 0.9280; ROC AUC: 0.5190
+[2024-05-21 17:10:32,833 INFO] Epoch:1, Snapshot:81; F1: 0.6549; Accuracy: 0.5110; Precision: 0.5161; Recall: 0.8958; ROC AUC: 0.4966
+[2024-05-21 17:10:33,630 INFO] Epoch:1, Snapshot:82; F1: 0.6168; Accuracy: 0.4720; Precision: 0.4665; Recall: 0.9101; ROC AUC: 0.4991
+[2024-05-21 17:10:34,645 INFO] Epoch:1, Snapshot:83; F1: 0.6760; Accuracy: 0.5390; Precision: 0.5356; Recall: 0.9162; ROC AUC: 0.5191
+[2024-05-21 17:10:35,490 INFO] Epoch:1, Snapshot:84; F1: 0.6620; Accuracy: 0.5220; Precision: 0.5223; Recall: 0.9035; ROC AUC: 0.5078
+[2024-05-21 17:10:36,334 INFO] Epoch:1, Snapshot:85; F1: 0.6695; Accuracy: 0.5270; Precision: 0.5293; Recall: 0.9106; ROC AUC: 0.5060
+[2024-05-21 17:10:37,225 INFO] Epoch:1, Snapshot:86; F1: 0.6558; Accuracy: 0.5160; Precision: 0.5128; Recall: 0.9093; ROC AUC: 0.5104
+[2024-05-21 17:10:38,100 INFO] Epoch:1, Snapshot:87; F1: 0.6287; Accuracy: 0.4910; Precision: 0.4859; Recall: 0.8905; ROC AUC: 0.5034
+[2024-05-21 17:10:38,944 INFO] Epoch:1, Snapshot:88; F1: 0.6318; Accuracy: 0.4930; Precision: 0.4915; Recall: 0.8841; ROC AUC: 0.4992
+[2024-05-21 17:10:40,007 INFO] Epoch:1, Snapshot:89; F1: 0.6735; Accuracy: 0.5250; Precision: 0.5373; Recall: 0.9024; ROC AUC: 0.4895
+[2024-05-21 17:10:40,788 INFO] Epoch:1, Snapshot:90; F1: 0.6178; Accuracy: 0.4730; Precision: 0.4733; Recall: 0.8894; ROC AUC: 0.4898
+[2024-05-21 17:10:41,679 INFO] Epoch:1, Snapshot:91; F1: 0.6662; Accuracy: 0.5200; Precision: 0.5340; Recall: 0.8854; ROC AUC: 0.4874
+[2024-05-21 17:10:42,539 INFO] Epoch:1, Snapshot:92; F1: 0.6392; Accuracy: 0.5000; Precision: 0.4900; Recall: 0.9191; ROC AUC: 0.5146
+[2024-05-21 17:10:43,336 INFO] Epoch:1, Snapshot:93; F1: 0.6429; Accuracy: 0.4990; Precision: 0.5006; Recall: 0.8984; ROC AUC: 0.4974
+[2024-05-21 17:10:44,117 INFO] Epoch:1, Snapshot:94; F1: 0.6310; Accuracy: 0.4890; Precision: 0.4866; Recall: 0.8973; ROC AUC: 0.4993
+[2024-05-21 17:10:44,992 INFO] Epoch:1, Snapshot:95; F1: 0.6644; Accuracy: 0.5170; Precision: 0.5230; Recall: 0.9105; ROC AUC: 0.4963
+[2024-05-21 17:10:45,884 INFO] Epoch:1, Snapshot:96; F1: 0.6443; Accuracy: 0.5010; Precision: 0.4994; Recall: 0.9076; ROC AUC: 0.5026
+[2024-05-21 17:10:46,775 INFO] Epoch:1, Snapshot:97; F1: 0.6550; Accuracy: 0.5080; Precision: 0.5212; Recall: 0.8811; ROC AUC: 0.4842
+[2024-05-21 17:10:47,540 INFO] Epoch:1, Snapshot:98; F1: 0.6610; Accuracy: 0.5210; Precision: 0.5189; Recall: 0.9103; ROC AUC: 0.5106
+[2024-05-21 17:10:48,416 INFO] Epoch:1, Snapshot:99; F1: 0.6407; Accuracy: 0.5010; Precision: 0.4944; Recall: 0.9100; ROC AUC: 0.5098
+[2024-05-21 17:10:49,494 INFO] Epoch:1, Snapshot:100; F1: 0.6681; Accuracy: 0.5300; Precision: 0.5244; Recall: 0.9202; ROC AUC: 0.5188
+[2024-05-21 17:10:50,353 INFO] Epoch:1, Snapshot:101; F1: 0.6103; Accuracy: 0.4650; Precision: 0.4656; Recall: 0.8858; ROC AUC: 0.4866
+[2024-05-21 17:10:51,197 INFO] Epoch:1, Snapshot:102; F1: 0.6273; Accuracy: 0.4820; Precision: 0.4861; Recall: 0.8844; ROC AUC: 0.4876
+[2024-05-21 17:10:52,057 INFO] Epoch:1, Snapshot:103; F1: 0.6285; Accuracy: 0.4870; Precision: 0.4865; Recall: 0.8875; ROC AUC: 0.4956
+[2024-05-21 17:10:52,885 INFO] Epoch:1, Snapshot:104; F1: 0.6165; Accuracy: 0.4750; Precision: 0.4758; Recall: 0.8755; ROC AUC: 0.4889
+[2024-05-21 17:10:53,776 INFO] Epoch:1, Snapshot:105; F1: 0.5946; Accuracy: 0.4600; Precision: 0.4454; Recall: 0.8939; ROC AUC: 0.5044
+[2024-05-21 17:10:54,698 INFO] Epoch:1, Snapshot:106; F1: 0.5910; Accuracy: 0.4520; Precision: 0.4347; Recall: 0.9231; ROC AUC: 0.5106
+[2024-05-21 17:10:55,605 INFO] Epoch:1, Snapshot:107; F1: 0.6257; Accuracy: 0.4820; Precision: 0.4795; Recall: 0.9002; ROC AUC: 0.4973
+[2024-05-21 17:10:56,605 INFO] Epoch:1, Snapshot:108; F1: 0.6395; Accuracy: 0.4950; Precision: 0.5034; Recall: 0.8767; ROC AUC: 0.4864
+[2024-05-21 17:10:57,527 INFO] Epoch:1, Snapshot:109; F1: 0.6452; Accuracy: 0.5040; Precision: 0.4989; Recall: 0.9130; ROC AUC: 0.5088
+[2024-05-21 17:10:58,387 INFO] Epoch:1, Snapshot:110; F1: 0.6443; Accuracy: 0.5010; Precision: 0.5006; Recall: 0.9040; ROC AUC: 0.5010
+[2024-05-21 17:10:59,199 INFO] Epoch:1, Snapshot:111; F1: 0.6203; Accuracy: 0.4760; Precision: 0.4714; Recall: 0.9068; ROC AUC: 0.4988
+[2024-05-21 17:11:00,246 INFO] Epoch:1, Snapshot:112; F1: 0.6509; Accuracy: 0.5140; Precision: 0.5101; Recall: 0.8988; ROC AUC: 0.5109
+[2024-05-21 17:11:01,153 INFO] Epoch:1, Snapshot:113; F1: 0.6264; Accuracy: 0.4800; Precision: 0.4823; Recall: 0.8934; ROC AUC: 0.4897
+[2024-05-21 17:11:02,247 INFO] Epoch:1, Snapshot:114; F1: 0.6638; Accuracy: 0.5240; Precision: 0.5287; Recall: 0.8918; ROC AUC: 0.5030
+[2024-05-21 17:11:03,294 INFO] Epoch:1, Snapshot:115; F1: 0.6240; Accuracy: 0.4830; Precision: 0.4767; Recall: 0.9032; ROC AUC: 0.5030
+[2024-05-21 17:11:04,294 INFO] Epoch:1, Snapshot:116; F1: 0.6216; Accuracy: 0.4790; Precision: 0.4842; Recall: 0.8682; ROC AUC: 0.4844
+[2024-05-21 17:11:05,311 INFO] Epoch:1, Snapshot:117; F1: 0.6313; Accuracy: 0.4930; Precision: 0.4828; Recall: 0.9118; ROC AUC: 0.5122
+[2024-05-21 17:11:06,282 INFO] Epoch:1, Snapshot:118; F1: 0.6582; Accuracy: 0.5140; Precision: 0.5200; Recall: 0.8966; ROC AUC: 0.4964
+[2024-05-21 17:11:07,327 INFO] Epoch:1, Snapshot:119; F1: 0.6338; Accuracy: 0.4870; Precision: 0.4874; Recall: 0.9061; ROC AUC: 0.4952
+[2024-05-21 17:11:08,296 INFO] Epoch:1, Snapshot:120; F1: 0.6354; Accuracy: 0.4950; Precision: 0.4883; Recall: 0.9091; ROC AUC: 0.5078
+[2024-05-21 17:11:09,265 INFO] Epoch:1, Snapshot:121; F1: 0.6213; Accuracy: 0.4770; Precision: 0.4853; Recall: 0.8632; ROC AUC: 0.4793
+[2024-05-21 17:11:10,187 INFO] Epoch:1, Snapshot:122; F1: 0.6731; Accuracy: 0.5270; Precision: 0.5358; Recall: 0.9052; ROC AUC: 0.4959
+[2024-05-21 17:11:11,172 INFO] Epoch:1, Snapshot:123; F1: 0.6385; Accuracy: 0.4960; Precision: 0.4906; Recall: 0.9138; ROC AUC: 0.5066
+[2024-05-21 17:11:11,187 INFO] Epoch:1, Snapshot: 47; Loss: 0.6945
+[2024-05-21 17:11:18,658 INFO] Epoch:1, Snapshot:37; F1: 0.6955; Accuracy: 0.5560; Precision: 0.5709; Recall: 0.8895; ROC AUC: 0.5017
+[2024-05-21 17:11:19,502 INFO] Epoch:1, Snapshot:38; F1: 0.6786; Accuracy: 0.5330; Precision: 0.5406; Recall: 0.9113; ROC AUC: 0.4992
+[2024-05-21 17:11:20,237 INFO] Epoch:1, Snapshot:39; F1: 0.6292; Accuracy: 0.4920; Precision: 0.4800; Recall: 0.9131; ROC AUC: 0.5143
+[2024-05-21 17:11:21,018 INFO] Epoch:1, Snapshot:40; F1: 0.6615; Accuracy: 0.5190; Precision: 0.5222; Recall: 0.9021; ROC AUC: 0.5022
+[2024-05-21 17:11:21,784 INFO] Epoch:1, Snapshot:41; F1: 0.6142; Accuracy: 0.4660; Precision: 0.4670; Recall: 0.8966; ROC AUC: 0.4873
+[2024-05-21 17:11:22,599 INFO] Epoch:1, Snapshot:42; F1: 0.6276; Accuracy: 0.4790; Precision: 0.4793; Recall: 0.9089; ROC AUC: 0.4931
+[2024-05-21 17:11:23,379 INFO] Epoch:1, Snapshot:43; F1: 0.6177; Accuracy: 0.4740; Precision: 0.4640; Recall: 0.9239; ROC AUC: 0.5073
+[2024-05-21 17:11:24,197 INFO] Epoch:1, Snapshot:44; F1: 0.6805; Accuracy: 0.5370; Precision: 0.5430; Recall: 0.9113; ROC AUC: 0.5036
+[2024-05-21 17:11:25,083 INFO] Epoch:1, Snapshot:45; F1: 0.6699; Accuracy: 0.5270; Precision: 0.5363; Recall: 0.8922; ROC AUC: 0.4970
+[2024-05-21 17:11:25,974 INFO] Epoch:1, Snapshot:46; F1: 0.6375; Accuracy: 0.4940; Precision: 0.4983; Recall: 0.8847; ROC AUC: 0.4916
+[2024-05-21 17:11:26,708 INFO] Epoch:1, Snapshot:47; F1: 0.6335; Accuracy: 0.4920; Precision: 0.4798; Recall: 0.9321; ROC AUC: 0.5161
+[2024-05-21 17:11:27,646 INFO] Epoch:1, Snapshot:48; F1: 0.6258; Accuracy: 0.4870; Precision: 0.4772; Recall: 0.9089; ROC AUC: 0.5094
+[2024-05-21 17:11:28,522 INFO] Epoch:1, Snapshot:49; F1: 0.6512; Accuracy: 0.5050; Precision: 0.5083; Recall: 0.9059; ROC AUC: 0.4968
+[2024-05-21 17:11:29,381 INFO] Epoch:1, Snapshot:50; F1: 0.6145; Accuracy: 0.4780; Precision: 0.4685; Recall: 0.8927; ROC AUC: 0.5044
+[2024-05-21 17:11:30,210 INFO] Epoch:1, Snapshot:51; F1: 0.6381; Accuracy: 0.5010; Precision: 0.4944; Recall: 0.8998; ROC AUC: 0.5096
+[2024-05-21 17:11:31,069 INFO] Epoch:1, Snapshot:52; F1: 0.6648; Accuracy: 0.5230; Precision: 0.5215; Recall: 0.9167; ROC AUC: 0.5100
+[2024-05-21 17:11:31,944 INFO] Epoch:1, Snapshot:53; F1: 0.6639; Accuracy: 0.5170; Precision: 0.5185; Recall: 0.9226; ROC AUC: 0.5027
+[2024-05-21 17:11:32,757 INFO] Epoch:1, Snapshot:54; F1: 0.6245; Accuracy: 0.4830; Precision: 0.4751; Recall: 0.9110; ROC AUC: 0.5057
+[2024-05-21 17:11:33,586 INFO] Epoch:1, Snapshot:55; F1: 0.6737; Accuracy: 0.5330; Precision: 0.5367; Recall: 0.9043; ROC AUC: 0.5068
+[2024-05-21 17:11:34,414 INFO] Epoch:1, Snapshot:56; F1: 0.6529; Accuracy: 0.5130; Precision: 0.5152; Recall: 0.8911; ROC AUC: 0.5021
+[2024-05-21 17:11:35,227 INFO] Epoch:1, Snapshot:57; F1: 0.6545; Accuracy: 0.5060; Precision: 0.5098; Recall: 0.9141; ROC AUC: 0.4960
+[2024-05-21 17:11:36,008 INFO] Epoch:1, Snapshot:58; F1: 0.6277; Accuracy: 0.4780; Precision: 0.4862; Recall: 0.8853; ROC AUC: 0.4804
+[2024-05-21 17:11:36,962 INFO] Epoch:1, Snapshot:59; F1: 0.6774; Accuracy: 0.5370; Precision: 0.5406; Recall: 0.9067; ROC AUC: 0.5083
+[2024-05-21 17:11:37,868 INFO] Epoch:1, Snapshot:60; F1: 0.6576; Accuracy: 0.5200; Precision: 0.5157; Recall: 0.9075; ROC AUC: 0.5137
+[2024-05-21 17:11:38,853 INFO] Epoch:1, Snapshot:61; F1: 0.6293; Accuracy: 0.4840; Precision: 0.4813; Recall: 0.9087; ROC AUC: 0.4988
+[2024-05-21 17:11:39,837 INFO] Epoch:1, Snapshot:62; F1: 0.6338; Accuracy: 0.4950; Precision: 0.4866; Recall: 0.9085; ROC AUC: 0.5101
+[2024-05-21 17:11:40,885 INFO] Epoch:1, Snapshot:63; F1: 0.6486; Accuracy: 0.5070; Precision: 0.5061; Recall: 0.9028; ROC AUC: 0.5038
+[2024-05-21 17:11:41,822 INFO] Epoch:1, Snapshot:64; F1: 0.6283; Accuracy: 0.4900; Precision: 0.4778; Recall: 0.9170; ROC AUC: 0.5142
+[2024-05-21 17:11:42,698 INFO] Epoch:1, Snapshot:65; F1: 0.6249; Accuracy: 0.4910; Precision: 0.4775; Recall: 0.9041; ROC AUC: 0.5151
+[2024-05-21 17:11:43,683 INFO] Epoch:1, Snapshot:66; F1: 0.6873; Accuracy: 0.5450; Precision: 0.5587; Recall: 0.8929; ROC AUC: 0.4976
+[2024-05-21 17:11:44,496 INFO] Epoch:1, Snapshot:67; F1: 0.6486; Accuracy: 0.5070; Precision: 0.5039; Recall: 0.9100; ROC AUC: 0.5070
+[2024-05-21 17:11:45,293 INFO] Epoch:1, Snapshot:68; F1: 0.6200; Accuracy: 0.4840; Precision: 0.4806; Recall: 0.8734; ROC AUC: 0.4975
+[2024-05-21 17:11:46,168 INFO] Epoch:1, Snapshot:69; F1: 0.6385; Accuracy: 0.4950; Precision: 0.4917; Recall: 0.9102; ROC AUC: 0.5031
+[2024-05-21 17:11:47,059 INFO] Epoch:1, Snapshot:70; F1: 0.6611; Accuracy: 0.5170; Precision: 0.5233; Recall: 0.8971; ROC AUC: 0.4970
+[2024-05-21 17:11:47,950 INFO] Epoch:1, Snapshot:71; F1: 0.6255; Accuracy: 0.4780; Precision: 0.4834; Recall: 0.8862; ROC AUC: 0.4844
+[2024-05-21 17:11:48,794 INFO] Epoch:1, Snapshot:72; F1: 0.6116; Accuracy: 0.4640; Precision: 0.4637; Recall: 0.8979; ROC AUC: 0.4886
+[2024-05-21 17:11:49,513 INFO] Epoch:1, Snapshot:73; F1: 0.5848; Accuracy: 0.4520; Precision: 0.4332; Recall: 0.8998; ROC AUC: 0.5077
+[2024-05-21 17:11:50,310 INFO] Epoch:1, Snapshot:74; F1: 0.5948; Accuracy: 0.4510; Precision: 0.4424; Recall: 0.9077; ROC AUC: 0.4970
+[2024-05-21 17:11:51,123 INFO] Epoch:1, Snapshot:75; F1: 0.5979; Accuracy: 0.4580; Precision: 0.4543; Recall: 0.8742; ROC AUC: 0.4881
+[2024-05-21 17:11:51,873 INFO] Epoch:1, Snapshot:76; F1: 0.6269; Accuracy: 0.4810; Precision: 0.4807; Recall: 0.9008; ROC AUC: 0.4940
+[2024-05-21 17:11:52,764 INFO] Epoch:1, Snapshot:77; F1: 0.6499; Accuracy: 0.5130; Precision: 0.5096; Recall: 0.8968; ROC AUC: 0.5099
+[2024-05-21 17:11:53,671 INFO] Epoch:1, Snapshot:78; F1: 0.6792; Accuracy: 0.5390; Precision: 0.5465; Recall: 0.8971; ROC AUC: 0.5045
+[2024-05-21 17:11:54,577 INFO] Epoch:1, Snapshot:79; F1: 0.6821; Accuracy: 0.5470; Precision: 0.5394; Recall: 0.9275; ROC AUC: 0.5278
+[2024-05-21 17:11:55,468 INFO] Epoch:1, Snapshot:80; F1: 0.6481; Accuracy: 0.5060; Precision: 0.5033; Recall: 0.9100; ROC AUC: 0.5060
+[2024-05-21 17:11:56,405 INFO] Epoch:1, Snapshot:81; F1: 0.6554; Accuracy: 0.5120; Precision: 0.5167; Recall: 0.8958; ROC AUC: 0.4977
+[2024-05-21 17:11:57,202 INFO] Epoch:1, Snapshot:82; F1: 0.6203; Accuracy: 0.4810; Precision: 0.4711; Recall: 0.9079; ROC AUC: 0.5074
+[2024-05-21 17:11:58,187 INFO] Epoch:1, Snapshot:83; F1: 0.6592; Accuracy: 0.5130; Precision: 0.5210; Recall: 0.8971; ROC AUC: 0.4928
+[2024-05-21 17:11:59,046 INFO] Epoch:1, Snapshot:84; F1: 0.6587; Accuracy: 0.5140; Precision: 0.5177; Recall: 0.9054; ROC AUC: 0.4994
+[2024-05-21 17:11:59,906 INFO] Epoch:1, Snapshot:85; F1: 0.6536; Accuracy: 0.5040; Precision: 0.5166; Recall: 0.8897; ROC AUC: 0.4828
+[2024-05-21 17:12:00,750 INFO] Epoch:1, Snapshot:86; F1: 0.6488; Accuracy: 0.5030; Precision: 0.5055; Recall: 0.9053; ROC AUC: 0.4973
+[2024-05-21 17:12:01,672 INFO] Epoch:1, Snapshot:87; F1: 0.6353; Accuracy: 0.4960; Precision: 0.4889; Recall: 0.9070; ROC AUC: 0.5087
+[2024-05-21 17:12:02,563 INFO] Epoch:1, Snapshot:88; F1: 0.6388; Accuracy: 0.4980; Precision: 0.4944; Recall: 0.9024; ROC AUC: 0.5044
+[2024-05-21 17:12:03,611 INFO] Epoch:1, Snapshot:89; F1: 0.6810; Accuracy: 0.5410; Precision: 0.5469; Recall: 0.9024; ROC AUC: 0.5070
+[2024-05-21 17:12:04,392 INFO] Epoch:1, Snapshot:90; F1: 0.6339; Accuracy: 0.4940; Precision: 0.4850; Recall: 0.9144; ROC AUC: 0.5109
+[2024-05-21 17:12:05,346 INFO] Epoch:1, Snapshot:91; F1: 0.6750; Accuracy: 0.5340; Precision: 0.5420; Recall: 0.8946; ROC AUC: 0.5018
+[2024-05-21 17:12:06,236 INFO] Epoch:1, Snapshot:92; F1: 0.6265; Accuracy: 0.4850; Precision: 0.4816; Recall: 0.8963; ROC AUC: 0.4993
+[2024-05-21 17:12:07,127 INFO] Epoch:1, Snapshot:93; F1: 0.6345; Accuracy: 0.4850; Precision: 0.4928; Recall: 0.8904; ROC AUC: 0.4834
+[2024-05-21 17:12:07,862 INFO] Epoch:1, Snapshot:94; F1: 0.6388; Accuracy: 0.4900; Precision: 0.4876; Recall: 0.9261; ROC AUC: 0.5011
+[2024-05-21 17:12:08,737 INFO] Epoch:1, Snapshot:95; F1: 0.6681; Accuracy: 0.5270; Precision: 0.5289; Recall: 0.9067; ROC AUC: 0.5070
+[2024-05-21 17:12:09,644 INFO] Epoch:1, Snapshot:96; F1: 0.6363; Accuracy: 0.4890; Precision: 0.4928; Recall: 0.8976; ROC AUC: 0.4906
+[2024-05-21 17:12:10,566 INFO] Epoch:1, Snapshot:97; F1: 0.6722; Accuracy: 0.5280; Precision: 0.5319; Recall: 0.9132; ROC AUC: 0.5034
+[2024-05-21 17:12:11,301 INFO] Epoch:1, Snapshot:98; F1: 0.6592; Accuracy: 0.5160; Precision: 0.5160; Recall: 0.9123; ROC AUC: 0.5054
+[2024-05-21 17:12:12,176 INFO] Epoch:1, Snapshot:99; F1: 0.6250; Accuracy: 0.4840; Precision: 0.4848; Recall: 0.8793; ROC AUC: 0.4925
+[2024-05-21 17:12:13,255 INFO] Epoch:1, Snapshot:100; F1: 0.6596; Accuracy: 0.5160; Precision: 0.5165; Recall: 0.9125; ROC AUC: 0.5046
+[2024-05-21 17:12:14,114 INFO] Epoch:1, Snapshot:101; F1: 0.6143; Accuracy: 0.4700; Precision: 0.4684; Recall: 0.8922; ROC AUC: 0.4916
+[2024-05-21 17:12:14,959 INFO] Epoch:1, Snapshot:102; F1: 0.6247; Accuracy: 0.4810; Precision: 0.4854; Recall: 0.8763; ROC AUC: 0.4865
+[2024-05-21 17:12:15,865 INFO] Epoch:1, Snapshot:103; F1: 0.6222; Accuracy: 0.4790; Precision: 0.4820; Recall: 0.8773; ROC AUC: 0.4876
+[2024-05-21 17:12:16,678 INFO] Epoch:1, Snapshot:104; F1: 0.6323; Accuracy: 0.4870; Precision: 0.4830; Recall: 0.9149; ROC AUC: 0.5019
+[2024-05-21 17:12:17,617 INFO] Epoch:1, Snapshot:105; F1: 0.5894; Accuracy: 0.4510; Precision: 0.4407; Recall: 0.8894; ROC AUC: 0.4959
+[2024-05-21 17:12:18,571 INFO] Epoch:1, Snapshot:106; F1: 0.5783; Accuracy: 0.4430; Precision: 0.4283; Recall: 0.8904; ROC AUC: 0.4986
+[2024-05-21 17:12:19,462 INFO] Epoch:1, Snapshot:107; F1: 0.6300; Accuracy: 0.4950; Precision: 0.4864; Recall: 0.8940; ROC AUC: 0.5096
+[2024-05-21 17:12:20,462 INFO] Epoch:1, Snapshot:108; F1: 0.6576; Accuracy: 0.5210; Precision: 0.5180; Recall: 0.9002; ROC AUC: 0.5125
+[2024-05-21 17:12:21,384 INFO] Epoch:1, Snapshot:109; F1: 0.6317; Accuracy: 0.4880; Precision: 0.4900; Recall: 0.8887; ROC AUC: 0.4928
+[2024-05-21 17:12:22,275 INFO] Epoch:1, Snapshot:110; F1: 0.6515; Accuracy: 0.5100; Precision: 0.5055; Recall: 0.9160; ROC AUC: 0.5100
+[2024-05-21 17:12:23,119 INFO] Epoch:1, Snapshot:111; F1: 0.6214; Accuracy: 0.4810; Precision: 0.4739; Recall: 0.9025; ROC AUC: 0.5034
+[2024-05-21 17:12:24,135 INFO] Epoch:1, Snapshot:112; F1: 0.6325; Accuracy: 0.4910; Precision: 0.4972; Recall: 0.8690; ROC AUC: 0.4880
+[2024-05-21 17:12:25,026 INFO] Epoch:1, Snapshot:113; F1: 0.6237; Accuracy: 0.4860; Precision: 0.4852; Recall: 0.8730; ROC AUC: 0.4951
+[2024-05-21 17:12:26,104 INFO] Epoch:1, Snapshot:114; F1: 0.6615; Accuracy: 0.5160; Precision: 0.5238; Recall: 0.8975; ROC AUC: 0.4942
+[2024-05-21 17:12:27,167 INFO] Epoch:1, Snapshot:115; F1: 0.6187; Accuracy: 0.4750; Precision: 0.4723; Recall: 0.8968; ROC AUC: 0.4951
+[2024-05-21 17:12:28,136 INFO] Epoch:1, Snapshot:116; F1: 0.6337; Accuracy: 0.4890; Precision: 0.4900; Recall: 0.8966; ROC AUC: 0.4946
+[2024-05-21 17:12:29,199 INFO] Epoch:1, Snapshot:117; F1: 0.6115; Accuracy: 0.4650; Precision: 0.4673; Recall: 0.8845; ROC AUC: 0.4842
+[2024-05-21 17:12:30,199 INFO] Epoch:1, Snapshot:118; F1: 0.6690; Accuracy: 0.5250; Precision: 0.5257; Recall: 0.9195; ROC AUC: 0.5068
+[2024-05-21 17:12:31,200 INFO] Epoch:1, Snapshot:119; F1: 0.6253; Accuracy: 0.4810; Precision: 0.4838; Recall: 0.8837; ROC AUC: 0.4889
+[2024-05-21 17:12:32,184 INFO] Epoch:1, Snapshot:120; F1: 0.6310; Accuracy: 0.4960; Precision: 0.4887; Recall: 0.8905; ROC AUC: 0.5082
+[2024-05-21 17:12:33,123 INFO] Epoch:1, Snapshot:121; F1: 0.6433; Accuracy: 0.5010; Precision: 0.4989; Recall: 0.9054; ROC AUC: 0.5034
+[2024-05-21 17:12:34,029 INFO] Epoch:1, Snapshot:122; F1: 0.6671; Accuracy: 0.5190; Precision: 0.5314; Recall: 0.8959; ROC AUC: 0.4880
+[2024-05-21 17:12:35,030 INFO] Epoch:1, Snapshot:123; F1: 0.6394; Accuracy: 0.4970; Precision: 0.4912; Recall: 0.9158; ROC AUC: 0.5076
+[2024-05-21 17:12:35,030 INFO] Epoch:1, Snapshot: 48; Loss: 0.6941
+[2024-05-21 17:12:42,500 INFO] Epoch:1, Snapshot:37; F1: 0.6936; Accuracy: 0.5530; Precision: 0.5692; Recall: 0.8877; ROC AUC: 0.4985
+[2024-05-21 17:12:43,375 INFO] Epoch:1, Snapshot:38; F1: 0.6801; Accuracy: 0.5410; Precision: 0.5459; Recall: 0.9020; ROC AUC: 0.5088
+[2024-05-21 17:12:44,125 INFO] Epoch:1, Snapshot:39; F1: 0.6194; Accuracy: 0.4740; Precision: 0.4703; Recall: 0.9068; ROC AUC: 0.4970
+[2024-05-21 17:12:44,891 INFO] Epoch:1, Snapshot:40; F1: 0.6690; Accuracy: 0.5300; Precision: 0.5284; Recall: 0.9117; ROC AUC: 0.5133
+[2024-05-21 17:12:45,657 INFO] Epoch:1, Snapshot:41; F1: 0.6204; Accuracy: 0.4750; Precision: 0.4719; Recall: 0.9051; ROC AUC: 0.4963
+[2024-05-21 17:12:46,485 INFO] Epoch:1, Snapshot:42; F1: 0.6216; Accuracy: 0.4790; Precision: 0.4787; Recall: 0.8861; ROC AUC: 0.4924
+[2024-05-21 17:12:47,282 INFO] Epoch:1, Snapshot:43; F1: 0.6000; Accuracy: 0.4600; Precision: 0.4551; Recall: 0.8804; ROC AUC: 0.4911
+[2024-05-21 17:12:48,097 INFO] Epoch:1, Snapshot:44; F1: 0.6850; Accuracy: 0.5410; Precision: 0.5448; Recall: 0.9224; ROC AUC: 0.5069
+[2024-05-21 17:12:48,955 INFO] Epoch:1, Snapshot:45; F1: 0.6792; Accuracy: 0.5380; Precision: 0.5421; Recall: 0.9089; ROC AUC: 0.5075
+[2024-05-21 17:12:49,845 INFO] Epoch:1, Snapshot:46; F1: 0.6345; Accuracy: 0.4850; Precision: 0.4934; Recall: 0.8887; ROC AUC: 0.4826
+[2024-05-21 17:12:50,611 INFO] Epoch:1, Snapshot:47; F1: 0.6232; Accuracy: 0.4800; Precision: 0.4730; Recall: 0.9130; ROC AUC: 0.5037
+[2024-05-21 17:12:51,517 INFO] Epoch:1, Snapshot:48; F1: 0.6193; Accuracy: 0.4800; Precision: 0.4732; Recall: 0.8962; ROC AUC: 0.5021
+[2024-05-21 17:12:52,439 INFO] Epoch:1, Snapshot:49; F1: 0.6544; Accuracy: 0.5120; Precision: 0.5122; Recall: 0.9059; ROC AUC: 0.5040
+[2024-05-21 17:12:53,268 INFO] Epoch:1, Snapshot:50; F1: 0.6079; Accuracy: 0.4710; Precision: 0.4643; Recall: 0.8798; ROC AUC: 0.4970
+[2024-05-21 17:12:54,127 INFO] Epoch:1, Snapshot:51; F1: 0.6350; Accuracy: 0.4930; Precision: 0.4900; Recall: 0.9018; ROC AUC: 0.5018
+[2024-05-21 17:12:55,002 INFO] Epoch:1, Snapshot:52; F1: 0.6440; Accuracy: 0.4970; Precision: 0.5072; Recall: 0.8818; ROC AUC: 0.4843
+[2024-05-21 17:12:55,956 INFO] Epoch:1, Snapshot:53; F1: 0.6558; Accuracy: 0.5150; Precision: 0.5179; Recall: 0.8936; ROC AUC: 0.5017
+[2024-05-21 17:12:56,752 INFO] Epoch:1, Snapshot:54; F1: 0.6275; Accuracy: 0.4870; Precision: 0.4773; Recall: 0.9153; ROC AUC: 0.5097
+[2024-05-21 17:12:57,612 INFO] Epoch:1, Snapshot:55; F1: 0.6620; Accuracy: 0.5130; Precision: 0.5253; Recall: 0.8949; ROC AUC: 0.4860
+[2024-05-21 17:12:58,425 INFO] Epoch:1, Snapshot:56; F1: 0.6601; Accuracy: 0.5180; Precision: 0.5177; Recall: 0.9105; ROC AUC: 0.5067
+[2024-05-21 17:12:59,221 INFO] Epoch:1, Snapshot:57; F1: 0.6488; Accuracy: 0.5020; Precision: 0.5077; Recall: 0.8984; ROC AUC: 0.4923
+[2024-05-21 17:13:00,050 INFO] Epoch:1, Snapshot:58; F1: 0.6463; Accuracy: 0.5030; Precision: 0.5000; Recall: 0.9135; ROC AUC: 0.5054
+[2024-05-21 17:13:01,019 INFO] Epoch:1, Snapshot:59; F1: 0.6749; Accuracy: 0.5280; Precision: 0.5349; Recall: 0.9142; ROC AUC: 0.4980
+[2024-05-21 17:13:01,863 INFO] Epoch:1, Snapshot:60; F1: 0.6476; Accuracy: 0.5060; Precision: 0.5078; Recall: 0.8937; ROC AUC: 0.4997
+[2024-05-21 17:13:02,848 INFO] Epoch:1, Snapshot:61; F1: 0.6422; Accuracy: 0.5030; Precision: 0.4917; Recall: 0.9253; ROC AUC: 0.5177
+[2024-05-21 17:13:03,864 INFO] Epoch:1, Snapshot:62; F1: 0.6288; Accuracy: 0.4900; Precision: 0.4838; Recall: 0.8981; ROC AUC: 0.5049
+[2024-05-21 17:13:04,911 INFO] Epoch:1, Snapshot:63; F1: 0.6476; Accuracy: 0.5070; Precision: 0.5061; Recall: 0.8988; ROC AUC: 0.5038
+[2024-05-21 17:13:05,849 INFO] Epoch:1, Snapshot:64; F1: 0.6246; Accuracy: 0.4820; Precision: 0.4736; Recall: 0.9170; ROC AUC: 0.5066
+[2024-05-21 17:13:06,724 INFO] Epoch:1, Snapshot:65; F1: 0.6173; Accuracy: 0.4780; Precision: 0.4704; Recall: 0.8977; ROC AUC: 0.5025
+[2024-05-21 17:13:07,693 INFO] Epoch:1, Snapshot:66; F1: 0.6808; Accuracy: 0.5340; Precision: 0.5522; Recall: 0.8875; ROC AUC: 0.4858
+[2024-05-21 17:13:08,521 INFO] Epoch:1, Snapshot:67; F1: 0.6500; Accuracy: 0.5100; Precision: 0.5056; Recall: 0.9100; ROC AUC: 0.5100
+[2024-05-21 17:13:09,287 INFO] Epoch:1, Snapshot:68; F1: 0.6089; Accuracy: 0.4630; Precision: 0.4691; Recall: 0.8672; ROC AUC: 0.4770
+[2024-05-21 17:13:10,131 INFO] Epoch:1, Snapshot:69; F1: 0.6376; Accuracy: 0.5010; Precision: 0.4949; Recall: 0.8959; ROC AUC: 0.5087
+[2024-05-21 17:13:11,022 INFO] Epoch:1, Snapshot:70; F1: 0.6676; Accuracy: 0.5250; Precision: 0.5277; Recall: 0.9086; ROC AUC: 0.5048
+[2024-05-21 17:13:11,835 INFO] Epoch:1, Snapshot:71; F1: 0.6258; Accuracy: 0.4810; Precision: 0.4849; Recall: 0.8821; ROC AUC: 0.4873
+[2024-05-21 17:13:12,694 INFO] Epoch:1, Snapshot:72; F1: 0.6044; Accuracy: 0.4660; Precision: 0.4636; Recall: 0.8681; ROC AUC: 0.4888
+[2024-05-21 17:13:13,397 INFO] Epoch:1, Snapshot:73; F1: 0.5821; Accuracy: 0.4430; Precision: 0.4292; Recall: 0.9044; ROC AUC: 0.5004
+[2024-05-21 17:13:14,226 INFO] Epoch:1, Snapshot:74; F1: 0.5881; Accuracy: 0.4480; Precision: 0.4397; Recall: 0.8874; ROC AUC: 0.4923
+[2024-05-21 17:13:15,054 INFO] Epoch:1, Snapshot:75; F1: 0.6187; Accuracy: 0.4810; Precision: 0.4678; Recall: 0.9132; ROC AUC: 0.5123
+[2024-05-21 17:13:15,820 INFO] Epoch:1, Snapshot:76; F1: 0.6315; Accuracy: 0.4900; Precision: 0.4856; Recall: 0.9029; ROC AUC: 0.5028
+[2024-05-21 17:13:16,742 INFO] Epoch:1, Snapshot:77; F1: 0.6425; Accuracy: 0.4980; Precision: 0.5011; Recall: 0.8948; ROC AUC: 0.4948
+[2024-05-21 17:13:17,649 INFO] Epoch:1, Snapshot:78; F1: 0.6777; Accuracy: 0.5330; Precision: 0.5425; Recall: 0.9026; ROC AUC: 0.4973
+[2024-05-21 17:13:18,556 INFO] Epoch:1, Snapshot:79; F1: 0.6648; Accuracy: 0.5150; Precision: 0.5211; Recall: 0.9179; ROC AUC: 0.4947
+[2024-05-21 17:13:19,353 INFO] Epoch:1, Snapshot:80; F1: 0.6385; Accuracy: 0.4960; Precision: 0.4978; Recall: 0.8900; ROC AUC: 0.4960
+[2024-05-21 17:13:20,291 INFO] Epoch:1, Snapshot:81; F1: 0.6559; Accuracy: 0.5120; Precision: 0.5167; Recall: 0.8977; ROC AUC: 0.4976
+[2024-05-21 17:13:21,103 INFO] Epoch:1, Snapshot:82; F1: 0.6162; Accuracy: 0.4830; Precision: 0.4716; Recall: 0.8887; ROC AUC: 0.5081
+[2024-05-21 17:13:22,072 INFO] Epoch:1, Snapshot:83; F1: 0.6550; Accuracy: 0.5090; Precision: 0.5189; Recall: 0.8876; ROC AUC: 0.4891
+[2024-05-21 17:13:22,917 INFO] Epoch:1, Snapshot:84; F1: 0.6639; Accuracy: 0.5220; Precision: 0.5221; Recall: 0.9112; ROC AUC: 0.5075
+[2024-05-21 17:13:23,777 INFO] Epoch:1, Snapshot:85; F1: 0.6611; Accuracy: 0.5170; Precision: 0.5239; Recall: 0.8954; ROC AUC: 0.4962
+[2024-05-21 17:13:24,683 INFO] Epoch:1, Snapshot:86; F1: 0.6257; Accuracy: 0.4820; Precision: 0.4937; Recall: 0.8540; ROC AUC: 0.4767
+[2024-05-21 17:13:25,606 INFO] Epoch:1, Snapshot:87; F1: 0.6477; Accuracy: 0.5050; Precision: 0.4940; Recall: 0.9401; ROC AUC: 0.5185
+[2024-05-21 17:13:26,497 INFO] Epoch:1, Snapshot:88; F1: 0.6346; Accuracy: 0.4910; Precision: 0.4906; Recall: 0.8984; ROC AUC: 0.4974
+[2024-05-21 17:13:27,575 INFO] Epoch:1, Snapshot:89; F1: 0.6848; Accuracy: 0.5480; Precision: 0.5511; Recall: 0.9042; ROC AUC: 0.5145
+[2024-05-21 17:13:28,357 INFO] Epoch:1, Snapshot:90; F1: 0.6231; Accuracy: 0.4810; Precision: 0.4777; Recall: 0.8956; ROC AUC: 0.4977
+[2024-05-21 17:13:29,263 INFO] Epoch:1, Snapshot:91; F1: 0.6727; Accuracy: 0.5290; Precision: 0.5390; Recall: 0.8946; ROC AUC: 0.4963
+[2024-05-21 17:13:30,123 INFO] Epoch:1, Snapshot:92; F1: 0.6237; Accuracy: 0.4800; Precision: 0.4789; Recall: 0.8942; ROC AUC: 0.4944
+[2024-05-21 17:13:30,920 INFO] Epoch:1, Snapshot:93; F1: 0.6481; Accuracy: 0.5080; Precision: 0.5056; Recall: 0.9024; ROC AUC: 0.5064
+[2024-05-21 17:13:31,686 INFO] Epoch:1, Snapshot:94; F1: 0.6243; Accuracy: 0.4800; Precision: 0.4816; Recall: 0.8871; ROC AUC: 0.4903
+[2024-05-21 17:13:32,577 INFO] Epoch:1, Snapshot:95; F1: 0.6535; Accuracy: 0.5090; Precision: 0.5191; Recall: 0.8819; ROC AUC: 0.4894
+[2024-05-21 17:13:33,483 INFO] Epoch:1, Snapshot:96; F1: 0.6403; Accuracy: 0.4990; Precision: 0.4983; Recall: 0.8956; ROC AUC: 0.5006
+[2024-05-21 17:13:34,390 INFO] Epoch:1, Snapshot:97; F1: 0.6685; Accuracy: 0.5270; Precision: 0.5318; Recall: 0.9000; ROC AUC: 0.5032
+[2024-05-21 17:13:35,156 INFO] Epoch:1, Snapshot:98; F1: 0.6482; Accuracy: 0.5050; Precision: 0.5101; Recall: 0.8889; ROC AUC: 0.4948
+[2024-05-21 17:13:35,999 INFO] Epoch:1, Snapshot:99; F1: 0.6142; Accuracy: 0.4660; Precision: 0.4749; Recall: 0.8691; ROC AUC: 0.4747
+[2024-05-21 17:13:37,078 INFO] Epoch:1, Snapshot:100; F1: 0.6638; Accuracy: 0.5230; Precision: 0.5204; Recall: 0.9163; ROC AUC: 0.5117
+[2024-05-21 17:13:37,937 INFO] Epoch:1, Snapshot:101; F1: 0.6164; Accuracy: 0.4710; Precision: 0.4691; Recall: 0.8985; ROC AUC: 0.4929
+[2024-05-21 17:13:38,781 INFO] Epoch:1, Snapshot:102; F1: 0.6471; Accuracy: 0.5060; Precision: 0.4994; Recall: 0.9189; ROC AUC: 0.5117
+[2024-05-21 17:13:39,656 INFO] Epoch:1, Snapshot:103; F1: 0.6333; Accuracy: 0.4950; Precision: 0.4910; Recall: 0.8916; ROC AUC: 0.5035
+[2024-05-21 17:13:40,500 INFO] Epoch:1, Snapshot:104; F1: 0.6366; Accuracy: 0.5000; Precision: 0.4899; Recall: 0.9087; ROC AUC: 0.5142
+[2024-05-21 17:13:41,391 INFO] Epoch:1, Snapshot:105; F1: 0.5989; Accuracy: 0.4670; Precision: 0.4492; Recall: 0.8984; ROC AUC: 0.5111
+[2024-05-21 17:13:42,360 INFO] Epoch:1, Snapshot:106; F1: 0.5688; Accuracy: 0.4330; Precision: 0.4221; Recall: 0.8718; ROC AUC: 0.4876
+[2024-05-21 17:13:43,236 INFO] Epoch:1, Snapshot:107; F1: 0.6343; Accuracy: 0.4960; Precision: 0.4872; Recall: 0.9085; ROC AUC: 0.5111
+[2024-05-21 17:13:44,220 INFO] Epoch:1, Snapshot:108; F1: 0.6483; Accuracy: 0.5030; Precision: 0.5078; Recall: 0.8963; ROC AUC: 0.4942
+[2024-05-21 17:13:45,158 INFO] Epoch:1, Snapshot:109; F1: 0.6489; Accuracy: 0.5130; Precision: 0.5039; Recall: 0.9109; ROC AUC: 0.5177
+[2024-05-21 17:13:46,018 INFO] Epoch:1, Snapshot:110; F1: 0.6390; Accuracy: 0.4960; Precision: 0.4978; Recall: 0.8920; ROC AUC: 0.4960
+[2024-05-21 17:13:46,846 INFO] Epoch:1, Snapshot:111; F1: 0.6322; Accuracy: 0.4950; Precision: 0.4817; Recall: 0.9195; ROC AUC: 0.5175
+[2024-05-21 17:13:47,972 INFO] Epoch:1, Snapshot:112; F1: 0.6533; Accuracy: 0.5170; Precision: 0.5118; Recall: 0.9028; ROC AUC: 0.5139
+[2024-05-21 17:13:48,863 INFO] Epoch:1, Snapshot:113; F1: 0.6242; Accuracy: 0.4810; Precision: 0.4826; Recall: 0.8832; ROC AUC: 0.4904
+[2024-05-21 17:13:49,942 INFO] Epoch:1, Snapshot:114; F1: 0.6662; Accuracy: 0.5200; Precision: 0.5258; Recall: 0.9089; ROC AUC: 0.4978
+[2024-05-21 17:13:51,005 INFO] Epoch:1, Snapshot:115; F1: 0.6245; Accuracy: 0.4830; Precision: 0.4767; Recall: 0.9053; ROC AUC: 0.5031
+[2024-05-21 17:13:52,005 INFO] Epoch:1, Snapshot:116; F1: 0.6401; Accuracy: 0.4940; Precision: 0.4929; Recall: 0.9128; ROC AUC: 0.4998
+[2024-05-21 17:13:53,036 INFO] Epoch:1, Snapshot:117; F1: 0.6287; Accuracy: 0.4910; Precision: 0.4816; Recall: 0.9055; ROC AUC: 0.5100
+[2024-05-21 17:13:54,006 INFO] Epoch:1, Snapshot:118; F1: 0.6713; Accuracy: 0.5320; Precision: 0.5299; Recall: 0.9157; ROC AUC: 0.5143
+[2024-05-21 17:13:55,022 INFO] Epoch:1, Snapshot:119; F1: 0.6384; Accuracy: 0.4970; Precision: 0.4928; Recall: 0.9061; ROC AUC: 0.5050
+[2024-05-21 17:13:55,975 INFO] Epoch:1, Snapshot:120; F1: 0.6412; Accuracy: 0.5030; Precision: 0.4928; Recall: 0.9174; ROC AUC: 0.5158
+[2024-05-21 17:13:56,928 INFO] Epoch:1, Snapshot:121; F1: 0.6459; Accuracy: 0.5110; Precision: 0.5045; Recall: 0.8974; ROC AUC: 0.5133
+[2024-05-21 17:13:57,834 INFO] Epoch:1, Snapshot:122; F1: 0.6731; Accuracy: 0.5290; Precision: 0.5371; Recall: 0.9015; ROC AUC: 0.4984
+[2024-05-21 17:13:58,819 INFO] Epoch:1, Snapshot:123; F1: 0.6285; Accuracy: 0.4870; Precision: 0.4855; Recall: 0.8912; ROC AUC: 0.4972
+[2024-05-21 17:13:58,835 INFO] Epoch:1, Snapshot: 49; Loss: 0.6950
+[2024-05-21 17:14:05,852 INFO] Epoch:1, Snapshot:37; F1: 0.7004; Accuracy: 0.5560; Precision: 0.5691; Recall: 0.9105; ROC AUC: 0.4983
+[2024-05-21 17:14:06,680 INFO] Epoch:1, Snapshot:38; F1: 0.6704; Accuracy: 0.5300; Precision: 0.5401; Recall: 0.8835; ROC AUC: 0.4984
+[2024-05-21 17:14:07,399 INFO] Epoch:1, Snapshot:39; F1: 0.6159; Accuracy: 0.4750; Precision: 0.4704; Recall: 0.8919; ROC AUC: 0.4971
+[2024-05-21 17:14:08,180 INFO] Epoch:1, Snapshot:40; F1: 0.6690; Accuracy: 0.5220; Precision: 0.5233; Recall: 0.9271; ROC AUC: 0.5042
+[2024-05-21 17:14:08,914 INFO] Epoch:1, Snapshot:41; F1: 0.6119; Accuracy: 0.4710; Precision: 0.4691; Recall: 0.8797; ROC AUC: 0.4912
+[2024-05-21 17:14:09,743 INFO] Epoch:1, Snapshot:42; F1: 0.6267; Accuracy: 0.4830; Precision: 0.4812; Recall: 0.8986; ROC AUC: 0.4967
+[2024-05-21 17:14:10,525 INFO] Epoch:1, Snapshot:43; F1: 0.6069; Accuracy: 0.4650; Precision: 0.4584; Recall: 0.8978; ROC AUC: 0.4971
+[2024-05-21 17:14:11,416 INFO] Epoch:1, Snapshot:44; F1: 0.6713; Accuracy: 0.5220; Precision: 0.5345; Recall: 0.9020; ROC AUC: 0.4881
+[2024-05-21 17:14:12,275 INFO] Epoch:1, Snapshot:45; F1: 0.6764; Accuracy: 0.5350; Precision: 0.5406; Recall: 0.9033; ROC AUC: 0.5047
+[2024-05-21 17:14:13,182 INFO] Epoch:1, Snapshot:46; F1: 0.6415; Accuracy: 0.4970; Precision: 0.5000; Recall: 0.8946; ROC AUC: 0.4946
+[2024-05-21 17:14:13,948 INFO] Epoch:1, Snapshot:47; F1: 0.6208; Accuracy: 0.4710; Precision: 0.4686; Recall: 0.9193; ROC AUC: 0.4956
+[2024-05-21 17:14:14,886 INFO] Epoch:1, Snapshot:48; F1: 0.6082; Accuracy: 0.4730; Precision: 0.4685; Recall: 0.8665; ROC AUC: 0.4939
+[2024-05-21 17:14:15,761 INFO] Epoch:1, Snapshot:49; F1: 0.6386; Accuracy: 0.4940; Precision: 0.5022; Recall: 0.8765; ROC AUC: 0.4862
+[2024-05-21 17:14:16,574 INFO] Epoch:1, Snapshot:50; F1: 0.6174; Accuracy: 0.4770; Precision: 0.4684; Recall: 0.9056; ROC AUC: 0.5043
+[2024-05-21 17:14:17,434 INFO] Epoch:1, Snapshot:51; F1: 0.6278; Accuracy: 0.4830; Precision: 0.4844; Recall: 0.8916; ROC AUC: 0.4918
+[2024-05-21 17:14:18,341 INFO] Epoch:1, Snapshot:52; F1: 0.6432; Accuracy: 0.4930; Precision: 0.5050; Recall: 0.8857; ROC AUC: 0.4800
+[2024-05-21 17:14:19,232 INFO] Epoch:1, Snapshot:53; F1: 0.6463; Accuracy: 0.5020; Precision: 0.5107; Recall: 0.8801; ROC AUC: 0.4887
+[2024-05-21 17:14:20,060 INFO] Epoch:1, Snapshot:54; F1: 0.6292; Accuracy: 0.4920; Precision: 0.4800; Recall: 0.9131; ROC AUC: 0.5143
+[2024-05-21 17:14:20,919 INFO] Epoch:1, Snapshot:55; F1: 0.6648; Accuracy: 0.5170; Precision: 0.5275; Recall: 0.8987; ROC AUC: 0.4900
+[2024-05-21 17:14:21,748 INFO] Epoch:1, Snapshot:56; F1: 0.6494; Accuracy: 0.4990; Precision: 0.5071; Recall: 0.9027; ROC AUC: 0.4874
+[2024-05-21 17:14:22,544 INFO] Epoch:1, Snapshot:57; F1: 0.6529; Accuracy: 0.5110; Precision: 0.5128; Recall: 0.8984; ROC AUC: 0.5015
+[2024-05-21 17:14:23,373 INFO] Epoch:1, Snapshot:58; F1: 0.6349; Accuracy: 0.4870; Precision: 0.4912; Recall: 0.8974; ROC AUC: 0.4894
+[2024-05-21 17:14:24,311 INFO] Epoch:1, Snapshot:59; F1: 0.6704; Accuracy: 0.5290; Precision: 0.5364; Recall: 0.8937; ROC AUC: 0.5007
+[2024-05-21 17:14:25,170 INFO] Epoch:1, Snapshot:60; F1: 0.6453; Accuracy: 0.5020; Precision: 0.5056; Recall: 0.8917; ROC AUC: 0.4957
+[2024-05-21 17:14:26,186 INFO] Epoch:1, Snapshot:61; F1: 0.6266; Accuracy: 0.4900; Precision: 0.4842; Recall: 0.8880; ROC AUC: 0.5038
+[2024-05-21 17:14:27,186 INFO] Epoch:1, Snapshot:62; F1: 0.6387; Accuracy: 0.5010; Precision: 0.4900; Recall: 0.9168; ROC AUC: 0.5162
+[2024-05-21 17:14:28,233 INFO] Epoch:1, Snapshot:63; F1: 0.6491; Accuracy: 0.5080; Precision: 0.5067; Recall: 0.9028; ROC AUC: 0.5048
+[2024-05-21 17:14:29,233 INFO] Epoch:1, Snapshot:64; F1: 0.6234; Accuracy: 0.4840; Precision: 0.4744; Recall: 0.9085; ROC AUC: 0.5080
+[2024-05-21 17:14:30,109 INFO] Epoch:1, Snapshot:65; F1: 0.6091; Accuracy: 0.4660; Precision: 0.4638; Recall: 0.8870; ROC AUC: 0.4906
+[2024-05-21 17:14:31,078 INFO] Epoch:1, Snapshot:66; F1: 0.6785; Accuracy: 0.5300; Precision: 0.5499; Recall: 0.8857; ROC AUC: 0.4815
+[2024-05-21 17:14:31,906 INFO] Epoch:1, Snapshot:67; F1: 0.6388; Accuracy: 0.4980; Precision: 0.4989; Recall: 0.8880; ROC AUC: 0.4980
+[2024-05-21 17:14:32,688 INFO] Epoch:1, Snapshot:68; F1: 0.6334; Accuracy: 0.4930; Precision: 0.4861; Recall: 0.9087; ROC AUC: 0.5074
+[2024-05-21 17:14:33,547 INFO] Epoch:1, Snapshot:69; F1: 0.6318; Accuracy: 0.4930; Precision: 0.4904; Recall: 0.8878; ROC AUC: 0.5007
+[2024-05-21 17:14:34,469 INFO] Epoch:1, Snapshot:70; F1: 0.6662; Accuracy: 0.5200; Precision: 0.5246; Recall: 0.9124; ROC AUC: 0.4993
+[2024-05-21 17:14:35,298 INFO] Epoch:1, Snapshot:71; F1: 0.6385; Accuracy: 0.4950; Precision: 0.4928; Recall: 0.9065; ROC AUC: 0.5015
+[2024-05-21 17:14:36,142 INFO] Epoch:1, Snapshot:72; F1: 0.6262; Accuracy: 0.4890; Precision: 0.4771; Recall: 0.9106; ROC AUC: 0.5129
+[2024-05-21 17:14:36,845 INFO] Epoch:1, Snapshot:73; F1: 0.5725; Accuracy: 0.4310; Precision: 0.4224; Recall: 0.8881; ROC AUC: 0.4878
+[2024-05-21 17:14:37,626 INFO] Epoch:1, Snapshot:74; F1: 0.5934; Accuracy: 0.4560; Precision: 0.4441; Recall: 0.8941; ROC AUC: 0.5001
+[2024-05-21 17:14:38,423 INFO] Epoch:1, Snapshot:75; F1: 0.6154; Accuracy: 0.4750; Precision: 0.4646; Recall: 0.9111; ROC AUC: 0.5066
+[2024-05-21 17:14:39,205 INFO] Epoch:1, Snapshot:76; F1: 0.6268; Accuracy: 0.4820; Precision: 0.4812; Recall: 0.8988; ROC AUC: 0.4949
+[2024-05-21 17:14:40,111 INFO] Epoch:1, Snapshot:77; F1: 0.6515; Accuracy: 0.5110; Precision: 0.5083; Recall: 0.9067; ROC AUC: 0.5078
+[2024-05-21 17:14:41,033 INFO] Epoch:1, Snapshot:78; F1: 0.6745; Accuracy: 0.5320; Precision: 0.5425; Recall: 0.8915; ROC AUC: 0.4973
+[2024-05-21 17:14:41,924 INFO] Epoch:1, Snapshot:79; F1: 0.6582; Accuracy: 0.5180; Precision: 0.5237; Recall: 0.8855; ROC AUC: 0.4995
+[2024-05-21 17:14:42,721 INFO] Epoch:1, Snapshot:80; F1: 0.6447; Accuracy: 0.5030; Precision: 0.5017; Recall: 0.9020; ROC AUC: 0.5030
+[2024-05-21 17:14:43,660 INFO] Epoch:1, Snapshot:81; F1: 0.6445; Accuracy: 0.4970; Precision: 0.5084; Recall: 0.8803; ROC AUC: 0.4827
+[2024-05-21 17:14:44,473 INFO] Epoch:1, Snapshot:82; F1: 0.6119; Accuracy: 0.4710; Precision: 0.4654; Recall: 0.8929; ROC AUC: 0.4971
+[2024-05-21 17:14:45,457 INFO] Epoch:1, Snapshot:83; F1: 0.6577; Accuracy: 0.5170; Precision: 0.5237; Recall: 0.8838; ROC AUC: 0.4977
+[2024-05-21 17:14:46,285 INFO] Epoch:1, Snapshot:84; F1: 0.6558; Accuracy: 0.5130; Precision: 0.5173; Recall: 0.8958; ROC AUC: 0.4987
+[2024-05-21 17:14:47,145 INFO] Epoch:1, Snapshot:85; F1: 0.6592; Accuracy: 0.5130; Precision: 0.5216; Recall: 0.8954; ROC AUC: 0.4920
+[2024-05-21 17:14:48,020 INFO] Epoch:1, Snapshot:86; F1: 0.6614; Accuracy: 0.5260; Precision: 0.5185; Recall: 0.9132; ROC AUC: 0.5205
+[2024-05-21 17:14:48,911 INFO] Epoch:1, Snapshot:87; F1: 0.6356; Accuracy: 0.4990; Precision: 0.4905; Recall: 0.9029; ROC AUC: 0.5115
+[2024-05-21 17:14:49,787 INFO] Epoch:1, Snapshot:88; F1: 0.6513; Accuracy: 0.5150; Precision: 0.5039; Recall: 0.9207; ROC AUC: 0.5214
+[2024-05-21 17:14:50,834 INFO] Epoch:1, Snapshot:89; F1: 0.6774; Accuracy: 0.5400; Precision: 0.5470; Recall: 0.8895; ROC AUC: 0.5071
+[2024-05-21 17:14:51,631 INFO] Epoch:1, Snapshot:90; F1: 0.6351; Accuracy: 0.4910; Precision: 0.4836; Recall: 0.9248; ROC AUC: 0.5085
+[2024-05-21 17:14:52,522 INFO] Epoch:1, Snapshot:91; F1: 0.6787; Accuracy: 0.5370; Precision: 0.5433; Recall: 0.9039; ROC AUC: 0.5042
+[2024-05-21 17:14:53,366 INFO] Epoch:1, Snapshot:92; F1: 0.6323; Accuracy: 0.4930; Precision: 0.4861; Recall: 0.9046; ROC AUC: 0.5073
+[2024-05-21 17:14:54,178 INFO] Epoch:1, Snapshot:93; F1: 0.6501; Accuracy: 0.5060; Precision: 0.5044; Recall: 0.9143; ROC AUC: 0.5044
+[2024-05-21 17:14:54,960 INFO] Epoch:1, Snapshot:94; F1: 0.6425; Accuracy: 0.4980; Precision: 0.4918; Recall: 0.9261; ROC AUC: 0.5088
+[2024-05-21 17:14:55,836 INFO] Epoch:1, Snapshot:95; F1: 0.6699; Accuracy: 0.5260; Precision: 0.5280; Recall: 0.9162; ROC AUC: 0.5055
+[2024-05-21 17:14:56,742 INFO] Epoch:1, Snapshot:96; F1: 0.6390; Accuracy: 0.4950; Precision: 0.4961; Recall: 0.8976; ROC AUC: 0.4966
+[2024-05-21 17:14:57,664 INFO] Epoch:1, Snapshot:97; F1: 0.6653; Accuracy: 0.5170; Precision: 0.5257; Recall: 0.9057; ROC AUC: 0.4922
+[2024-05-21 17:14:58,446 INFO] Epoch:1, Snapshot:98; F1: 0.6587; Accuracy: 0.5170; Precision: 0.5166; Recall: 0.9084; ROC AUC: 0.5066
+[2024-05-21 17:14:59,289 INFO] Epoch:1, Snapshot:99; F1: 0.6455; Accuracy: 0.5080; Precision: 0.4983; Recall: 0.9162; ROC AUC: 0.5168
+[2024-05-21 17:15:00,430 INFO] Epoch:1, Snapshot:100; F1: 0.6545; Accuracy: 0.5090; Precision: 0.5127; Recall: 0.9047; ROC AUC: 0.4976
+[2024-05-21 17:15:01,321 INFO] Epoch:1, Snapshot:101; F1: 0.6015; Accuracy: 0.4540; Precision: 0.4593; Recall: 0.8710; ROC AUC: 0.4754
+[2024-05-21 17:15:02,196 INFO] Epoch:1, Snapshot:102; F1: 0.6340; Accuracy: 0.4920; Precision: 0.4916; Recall: 0.8925; ROC AUC: 0.4975
+[2024-05-21 17:15:03,056 INFO] Epoch:1, Snapshot:103; F1: 0.6379; Accuracy: 0.4960; Precision: 0.4917; Recall: 0.9080; ROC AUC: 0.5049
+[2024-05-21 17:15:03,868 INFO] Epoch:1, Snapshot:104; F1: 0.6342; Accuracy: 0.4970; Precision: 0.4882; Recall: 0.9046; ROC AUC: 0.5112
+[2024-05-21 17:15:04,744 INFO] Epoch:1, Snapshot:105; F1: 0.5991; Accuracy: 0.4580; Precision: 0.4455; Recall: 0.9142; ROC AUC: 0.5047
+[2024-05-21 17:15:05,728 INFO] Epoch:1, Snapshot:106; F1: 0.5845; Accuracy: 0.4440; Precision: 0.4301; Recall: 0.9114; ROC AUC: 0.5021
+[2024-05-21 17:15:06,635 INFO] Epoch:1, Snapshot:107; F1: 0.6387; Accuracy: 0.5010; Precision: 0.4900; Recall: 0.9168; ROC AUC: 0.5162
+[2024-05-21 17:15:07,619 INFO] Epoch:1, Snapshot:108; F1: 0.6429; Accuracy: 0.4990; Precision: 0.5056; Recall: 0.8826; ROC AUC: 0.4904
+[2024-05-21 17:15:08,573 INFO] Epoch:1, Snapshot:109; F1: 0.6310; Accuracy: 0.4830; Precision: 0.4873; Recall: 0.8947; ROC AUC: 0.4879
+[2024-05-21 17:15:09,417 INFO] Epoch:1, Snapshot:110; F1: 0.6373; Accuracy: 0.4890; Precision: 0.4939; Recall: 0.8980; ROC AUC: 0.4890
+[2024-05-21 17:15:10,261 INFO] Epoch:1, Snapshot:111; F1: 0.6206; Accuracy: 0.4780; Precision: 0.4723; Recall: 0.9047; ROC AUC: 0.5006
+[2024-05-21 17:15:11,340 INFO] Epoch:1, Snapshot:112; F1: 0.6515; Accuracy: 0.5090; Precision: 0.5072; Recall: 0.9107; ROC AUC: 0.5058
+[2024-05-21 17:15:12,231 INFO] Epoch:1, Snapshot:113; F1: 0.6335; Accuracy: 0.4920; Precision: 0.4889; Recall: 0.8996; ROC AUC: 0.5016
+[2024-05-21 17:15:13,325 INFO] Epoch:1, Snapshot:114; F1: 0.6643; Accuracy: 0.5250; Precision: 0.5293; Recall: 0.8918; ROC AUC: 0.5041
+[2024-05-21 17:15:14,375 INFO] Epoch:1, Snapshot:115; F1: 0.6071; Accuracy: 0.4550; Precision: 0.4616; Recall: 0.8863; ROC AUC: 0.4755
+[2024-05-21 17:15:15,358 INFO] Epoch:1, Snapshot:116; F1: 0.6319; Accuracy: 0.4920; Precision: 0.4915; Recall: 0.8844; ROC AUC: 0.4974
+[2024-05-21 17:15:16,405 INFO] Epoch:1, Snapshot:117; F1: 0.6172; Accuracy: 0.4740; Precision: 0.4722; Recall: 0.8908; ROC AUC: 0.4931
+[2024-05-21 17:15:17,390 INFO] Epoch:1, Snapshot:118; F1: 0.6662; Accuracy: 0.5220; Precision: 0.5242; Recall: 0.9138; ROC AUC: 0.5040
+[2024-05-21 17:15:18,343 INFO] Epoch:1, Snapshot:119; F1: 0.6361; Accuracy: 0.4920; Precision: 0.4901; Recall: 0.9061; ROC AUC: 0.5001
+[2024-05-21 17:15:19,344 INFO] Epoch:1, Snapshot:120; F1: 0.6379; Accuracy: 0.4970; Precision: 0.4895; Recall: 0.9153; ROC AUC: 0.5100
+[2024-05-21 17:15:20,282 INFO] Epoch:1, Snapshot:121; F1: 0.6467; Accuracy: 0.5050; Precision: 0.5011; Recall: 0.9115; ROC AUC: 0.5074
+[2024-05-21 17:15:21,173 INFO] Epoch:1, Snapshot:122; F1: 0.6755; Accuracy: 0.5340; Precision: 0.5401; Recall: 0.9015; ROC AUC: 0.5038
+[2024-05-21 17:15:22,173 INFO] Epoch:1, Snapshot:123; F1: 0.6349; Accuracy: 0.4950; Precision: 0.4900; Recall: 0.9014; ROC AUC: 0.5053
+[2024-05-21 17:15:22,189 INFO] Epoch:1, Snapshot: 50; Loss: 0.6948
+[2024-05-21 17:15:29,284 INFO] Epoch:1, Snapshot:37; F1: 0.6920; Accuracy: 0.5460; Precision: 0.5642; Recall: 0.8947; ROC AUC: 0.4892
+[2024-05-21 17:15:30,175 INFO] Epoch:1, Snapshot:38; F1: 0.6795; Accuracy: 0.5340; Precision: 0.5411; Recall: 0.9131; ROC AUC: 0.5001
+[2024-05-21 17:15:30,878 INFO] Epoch:1, Snapshot:39; F1: 0.6194; Accuracy: 0.4850; Precision: 0.4756; Recall: 0.8877; ROC AUC: 0.5064
+[2024-05-21 17:15:31,660 INFO] Epoch:1, Snapshot:40; F1: 0.6629; Accuracy: 0.5180; Precision: 0.5215; Recall: 0.9098; ROC AUC: 0.5008
+[2024-05-21 17:15:32,426 INFO] Epoch:1, Snapshot:41; F1: 0.6145; Accuracy: 0.4730; Precision: 0.4703; Recall: 0.8861; ROC AUC: 0.4934
+[2024-05-21 17:15:33,254 INFO] Epoch:1, Snapshot:42; F1: 0.5971; Accuracy: 0.4480; Precision: 0.4611; Recall: 0.8468; ROC AUC: 0.4611
+[2024-05-21 17:15:34,051 INFO] Epoch:1, Snapshot:43; F1: 0.6135; Accuracy: 0.4770; Precision: 0.4647; Recall: 0.9022; ROC AUC: 0.5085
+[2024-05-21 17:15:34,864 INFO] Epoch:1, Snapshot:44; F1: 0.6755; Accuracy: 0.5350; Precision: 0.5426; Recall: 0.8946; ROC AUC: 0.5029
+[2024-05-21 17:15:35,723 INFO] Epoch:1, Snapshot:45; F1: 0.6667; Accuracy: 0.5170; Precision: 0.5302; Recall: 0.8978; ROC AUC: 0.4857
+[2024-05-21 17:15:36,599 INFO] Epoch:1, Snapshot:46; F1: 0.6401; Accuracy: 0.4950; Precision: 0.4989; Recall: 0.8926; ROC AUC: 0.4926
+[2024-05-21 17:15:37,349 INFO] Epoch:1, Snapshot:47; F1: 0.6185; Accuracy: 0.4770; Precision: 0.4711; Recall: 0.9002; ROC AUC: 0.5002
+[2024-05-21 17:15:38,303 INFO] Epoch:1, Snapshot:48; F1: 0.6168; Accuracy: 0.4770; Precision: 0.4714; Recall: 0.8919; ROC AUC: 0.4990
+[2024-05-21 17:15:39,178 INFO] Epoch:1, Snapshot:49; F1: 0.6535; Accuracy: 0.5090; Precision: 0.5105; Recall: 0.9078; ROC AUC: 0.5009
+[2024-05-21 17:15:40,022 INFO] Epoch:1, Snapshot:50; F1: 0.6129; Accuracy: 0.4670; Precision: 0.4632; Recall: 0.9056; ROC AUC: 0.4949
+[2024-05-21 17:15:40,881 INFO] Epoch:1, Snapshot:51; F1: 0.6341; Accuracy: 0.4900; Precision: 0.4884; Recall: 0.9039; ROC AUC: 0.4989
+[2024-05-21 17:15:41,710 INFO] Epoch:1, Snapshot:52; F1: 0.6417; Accuracy: 0.4920; Precision: 0.5044; Recall: 0.8818; ROC AUC: 0.4791
+[2024-05-21 17:15:42,600 INFO] Epoch:1, Snapshot:53; F1: 0.6586; Accuracy: 0.5180; Precision: 0.5196; Recall: 0.8994; ROC AUC: 0.5046
+[2024-05-21 17:15:43,429 INFO] Epoch:1, Snapshot:54; F1: 0.6206; Accuracy: 0.4840; Precision: 0.4752; Recall: 0.8941; ROC AUC: 0.5057
+[2024-05-21 17:15:44,288 INFO] Epoch:1, Snapshot:55; F1: 0.6681; Accuracy: 0.5260; Precision: 0.5330; Recall: 0.8949; ROC AUC: 0.4999
+[2024-05-21 17:15:45,132 INFO] Epoch:1, Snapshot:56; F1: 0.6700; Accuracy: 0.5340; Precision: 0.5267; Recall: 0.9202; ROC AUC: 0.5229
+[2024-05-21 17:15:45,898 INFO] Epoch:1, Snapshot:57; F1: 0.6433; Accuracy: 0.5010; Precision: 0.5073; Recall: 0.8789; ROC AUC: 0.4917
+[2024-05-21 17:15:46,711 INFO] Epoch:1, Snapshot:58; F1: 0.6428; Accuracy: 0.5010; Precision: 0.4989; Recall: 0.9034; ROC AUC: 0.5034
+[2024-05-21 17:15:47,664 INFO] Epoch:1, Snapshot:59; F1: 0.6561; Accuracy: 0.5020; Precision: 0.5208; Recall: 0.8862; ROC AUC: 0.4722
+[2024-05-21 17:15:48,555 INFO] Epoch:1, Snapshot:60; F1: 0.6461; Accuracy: 0.4960; Precision: 0.5022; Recall: 0.9055; ROC AUC: 0.4893
+[2024-05-21 17:15:49,571 INFO] Epoch:1, Snapshot:61; F1: 0.6190; Accuracy: 0.4780; Precision: 0.4775; Recall: 0.8797; ROC AUC: 0.4920
+[2024-05-21 17:15:50,587 INFO] Epoch:1, Snapshot:62; F1: 0.6290; Accuracy: 0.4880; Precision: 0.4828; Recall: 0.9023; ROC AUC: 0.5032
+[2024-05-21 17:15:51,634 INFO] Epoch:1, Snapshot:63; F1: 0.6469; Accuracy: 0.4990; Precision: 0.5016; Recall: 0.9107; ROC AUC: 0.4957
+[2024-05-21 17:15:52,573 INFO] Epoch:1, Snapshot:64; F1: 0.6192; Accuracy: 0.4810; Precision: 0.4726; Recall: 0.8979; ROC AUC: 0.5046
+[2024-05-21 17:15:53,463 INFO] Epoch:1, Snapshot:65; F1: 0.6175; Accuracy: 0.4810; Precision: 0.4718; Recall: 0.8934; ROC AUC: 0.5051
+[2024-05-21 17:15:54,432 INFO] Epoch:1, Snapshot:66; F1: 0.6813; Accuracy: 0.5350; Precision: 0.5528; Recall: 0.8875; ROC AUC: 0.4869
+[2024-05-21 17:15:55,245 INFO] Epoch:1, Snapshot:67; F1: 0.6380; Accuracy: 0.4950; Precision: 0.4972; Recall: 0.8900; ROC AUC: 0.4950
+[2024-05-21 17:15:56,074 INFO] Epoch:1, Snapshot:68; F1: 0.6254; Accuracy: 0.4860; Precision: 0.4820; Recall: 0.8900; ROC AUC: 0.5000
+[2024-05-21 17:15:56,887 INFO] Epoch:1, Snapshot:69; F1: 0.6190; Accuracy: 0.4720; Precision: 0.4788; Recall: 0.8755; ROC AUC: 0.4799
+[2024-05-21 17:15:57,793 INFO] Epoch:1, Snapshot:70; F1: 0.6723; Accuracy: 0.5330; Precision: 0.5322; Recall: 0.9124; ROC AUC: 0.5130
+[2024-05-21 17:15:58,622 INFO] Epoch:1, Snapshot:71; F1: 0.6270; Accuracy: 0.4860; Precision: 0.4876; Recall: 0.8780; ROC AUC: 0.4922
+[2024-05-21 17:15:59,450 INFO] Epoch:1, Snapshot:72; F1: 0.6134; Accuracy: 0.4680; Precision: 0.4658; Recall: 0.8979; ROC AUC: 0.4923
+[2024-05-21 17:16:00,169 INFO] Epoch:1, Snapshot:73; F1: 0.5780; Accuracy: 0.4350; Precision: 0.4253; Recall: 0.9021; ROC AUC: 0.4931
+[2024-05-21 17:16:00,935 INFO] Epoch:1, Snapshot:74; F1: 0.5935; Accuracy: 0.4480; Precision: 0.4409; Recall: 0.9077; ROC AUC: 0.4943
+[2024-05-21 17:16:01,779 INFO] Epoch:1, Snapshot:75; F1: 0.6173; Accuracy: 0.4780; Precision: 0.4662; Recall: 0.9132; ROC AUC: 0.5095
+[2024-05-21 17:16:02,545 INFO] Epoch:1, Snapshot:76; F1: 0.6291; Accuracy: 0.4860; Precision: 0.4834; Recall: 0.9008; ROC AUC: 0.4989
+[2024-05-21 17:16:03,451 INFO] Epoch:1, Snapshot:77; F1: 0.6460; Accuracy: 0.5090; Precision: 0.5074; Recall: 0.8889; ROC AUC: 0.5059
+[2024-05-21 17:16:04,342 INFO] Epoch:1, Snapshot:78; F1: 0.6777; Accuracy: 0.5330; Precision: 0.5425; Recall: 0.9026; ROC AUC: 0.4973
+[2024-05-21 17:16:05,217 INFO] Epoch:1, Snapshot:79; F1: 0.6653; Accuracy: 0.5270; Precision: 0.5287; Recall: 0.8969; ROC AUC: 0.5083
+[2024-05-21 17:16:06,030 INFO] Epoch:1, Snapshot:80; F1: 0.6307; Accuracy: 0.4870; Precision: 0.4927; Recall: 0.8760; ROC AUC: 0.4870
+[2024-05-21 17:16:06,983 INFO] Epoch:1, Snapshot:81; F1: 0.6547; Accuracy: 0.5180; Precision: 0.5205; Recall: 0.8822; ROC AUC: 0.5044
+[2024-05-21 17:16:07,780 INFO] Epoch:1, Snapshot:82; F1: 0.6130; Accuracy: 0.4710; Precision: 0.4656; Recall: 0.8972; ROC AUC: 0.4974
+[2024-05-21 17:16:08,750 INFO] Epoch:1, Snapshot:83; F1: 0.6522; Accuracy: 0.5020; Precision: 0.5149; Recall: 0.8895; ROC AUC: 0.4816
+[2024-05-21 17:16:09,625 INFO] Epoch:1, Snapshot:84; F1: 0.6610; Accuracy: 0.5180; Precision: 0.5199; Recall: 0.9073; ROC AUC: 0.5035
+[2024-05-21 17:16:10,469 INFO] Epoch:1, Snapshot:85; F1: 0.6601; Accuracy: 0.5140; Precision: 0.5221; Recall: 0.8973; ROC AUC: 0.4930
+[2024-05-21 17:16:11,344 INFO] Epoch:1, Snapshot:86; F1: 0.6486; Accuracy: 0.5060; Precision: 0.5072; Recall: 0.8994; ROC AUC: 0.5004
+[2024-05-21 17:16:12,234 INFO] Epoch:1, Snapshot:87; F1: 0.6298; Accuracy: 0.4910; Precision: 0.4860; Recall: 0.8946; ROC AUC: 0.5035
+[2024-05-21 17:16:13,110 INFO] Epoch:1, Snapshot:88; F1: 0.6449; Accuracy: 0.5000; Precision: 0.4956; Recall: 0.9228; ROC AUC: 0.5067
+[2024-05-21 17:16:14,188 INFO] Epoch:1, Snapshot:89; F1: 0.6773; Accuracy: 0.5350; Precision: 0.5434; Recall: 0.8987; ROC AUC: 0.5008
+[2024-05-21 17:16:14,969 INFO] Epoch:1, Snapshot:90; F1: 0.6136; Accuracy: 0.4710; Precision: 0.4719; Recall: 0.8768; ROC AUC: 0.4874
+[2024-05-21 17:16:15,844 INFO] Epoch:1, Snapshot:91; F1: 0.6746; Accuracy: 0.5330; Precision: 0.5414; Recall: 0.8946; ROC AUC: 0.5007
+[2024-05-21 17:16:16,688 INFO] Epoch:1, Snapshot:92; F1: 0.6243; Accuracy: 0.4800; Precision: 0.4789; Recall: 0.8963; ROC AUC: 0.4945
+[2024-05-21 17:16:17,501 INFO] Epoch:1, Snapshot:93; F1: 0.6524; Accuracy: 0.5140; Precision: 0.5089; Recall: 0.9084; ROC AUC: 0.5124
+[2024-05-21 17:16:18,267 INFO] Epoch:1, Snapshot:94; F1: 0.6385; Accuracy: 0.4950; Precision: 0.4901; Recall: 0.9158; ROC AUC: 0.5057
+[2024-05-21 17:16:19,126 INFO] Epoch:1, Snapshot:95; F1: 0.6587; Accuracy: 0.5170; Precision: 0.5236; Recall: 0.8876; ROC AUC: 0.4975
+[2024-05-21 17:16:20,033 INFO] Epoch:1, Snapshot:96; F1: 0.6323; Accuracy: 0.4860; Precision: 0.4911; Recall: 0.8876; ROC AUC: 0.4876
+[2024-05-21 17:16:20,924 INFO] Epoch:1, Snapshot:97; F1: 0.6662; Accuracy: 0.5220; Precision: 0.5288; Recall: 0.9000; ROC AUC: 0.4979
+[2024-05-21 17:16:21,658 INFO] Epoch:1, Snapshot:98; F1: 0.6454; Accuracy: 0.4990; Precision: 0.5067; Recall: 0.8889; ROC AUC: 0.4886
+[2024-05-21 17:16:22,503 INFO] Epoch:1, Snapshot:99; F1: 0.6355; Accuracy: 0.4930; Precision: 0.4900; Recall: 0.9039; ROC AUC: 0.5018
+[2024-05-21 17:16:23,643 INFO] Epoch:1, Snapshot:100; F1: 0.6468; Accuracy: 0.5030; Precision: 0.5095; Recall: 0.8852; ROC AUC: 0.4920
+[2024-05-21 17:16:24,519 INFO] Epoch:1, Snapshot:101; F1: 0.6124; Accuracy: 0.4670; Precision: 0.4667; Recall: 0.8901; ROC AUC: 0.4887
+[2024-05-21 17:16:25,362 INFO] Epoch:1, Snapshot:102; F1: 0.6410; Accuracy: 0.4970; Precision: 0.4945; Recall: 0.9108; ROC AUC: 0.5027
+[2024-05-21 17:16:26,222 INFO] Epoch:1, Snapshot:103; F1: 0.6343; Accuracy: 0.4950; Precision: 0.4910; Recall: 0.8957; ROC AUC: 0.5036
+[2024-05-21 17:16:27,035 INFO] Epoch:1, Snapshot:104; F1: 0.6283; Accuracy: 0.4830; Precision: 0.4807; Recall: 0.9066; ROC AUC: 0.4977
+[2024-05-21 17:16:27,925 INFO] Epoch:1, Snapshot:105; F1: 0.5951; Accuracy: 0.4570; Precision: 0.4443; Recall: 0.9007; ROC AUC: 0.5024
+[2024-05-21 17:16:28,863 INFO] Epoch:1, Snapshot:106; F1: 0.5852; Accuracy: 0.4500; Precision: 0.4326; Recall: 0.9044; ROC AUC: 0.5065
+[2024-05-21 17:16:29,738 INFO] Epoch:1, Snapshot:107; F1: 0.6277; Accuracy: 0.4780; Precision: 0.4777; Recall: 0.9148; ROC AUC: 0.4940
+[2024-05-21 17:16:30,754 INFO] Epoch:1, Snapshot:108; F1: 0.6528; Accuracy: 0.5150; Precision: 0.5147; Recall: 0.8924; ROC AUC: 0.5065
+[2024-05-21 17:16:31,676 INFO] Epoch:1, Snapshot:109; F1: 0.6449; Accuracy: 0.5000; Precision: 0.4967; Recall: 0.9190; ROC AUC: 0.5050
+[2024-05-21 17:16:32,505 INFO] Epoch:1, Snapshot:110; F1: 0.6330; Accuracy: 0.4840; Precision: 0.4912; Recall: 0.8900; ROC AUC: 0.4840
+[2024-05-21 17:16:33,333 INFO] Epoch:1, Snapshot:111; F1: 0.6150; Accuracy: 0.4780; Precision: 0.4717; Recall: 0.8835; ROC AUC: 0.4995
+[2024-05-21 17:16:34,364 INFO] Epoch:1, Snapshot:112; F1: 0.6572; Accuracy: 0.5170; Precision: 0.5116; Recall: 0.9187; ROC AUC: 0.5138
+[2024-05-21 17:16:35,255 INFO] Epoch:1, Snapshot:113; F1: 0.6293; Accuracy: 0.4840; Precision: 0.4845; Recall: 0.8975; ROC AUC: 0.4937
+[2024-05-21 17:16:36,349 INFO] Epoch:1, Snapshot:114; F1: 0.6695; Accuracy: 0.5290; Precision: 0.5312; Recall: 0.9051; ROC AUC: 0.5075
+[2024-05-21 17:16:37,458 INFO] Epoch:1, Snapshot:115; F1: 0.6341; Accuracy: 0.4980; Precision: 0.4849; Recall: 0.9158; ROC AUC: 0.5179
+[2024-05-21 17:16:38,458 INFO] Epoch:1, Snapshot:116; F1: 0.6283; Accuracy: 0.4830; Precision: 0.4866; Recall: 0.8864; ROC AUC: 0.4886
+[2024-05-21 17:16:39,490 INFO] Epoch:1, Snapshot:117; F1: 0.6214; Accuracy: 0.4810; Precision: 0.4760; Recall: 0.8950; ROC AUC: 0.5000
+[2024-05-21 17:16:40,459 INFO] Epoch:1, Snapshot:118; F1: 0.6520; Accuracy: 0.5090; Precision: 0.5174; Recall: 0.8812; ROC AUC: 0.4919
+[2024-05-21 17:16:41,443 INFO] Epoch:1, Snapshot:119; F1: 0.6326; Accuracy: 0.4890; Precision: 0.4883; Recall: 0.8980; ROC AUC: 0.4970
+[2024-05-21 17:16:42,412 INFO] Epoch:1, Snapshot:120; F1: 0.6325; Accuracy: 0.4910; Precision: 0.4861; Recall: 0.9050; ROC AUC: 0.5038
+[2024-05-21 17:16:43,350 INFO] Epoch:1, Snapshot:121; F1: 0.6385; Accuracy: 0.4950; Precision: 0.4956; Recall: 0.8974; ROC AUC: 0.4974
+[2024-05-21 17:16:44,225 INFO] Epoch:1, Snapshot:122; F1: 0.6824; Accuracy: 0.5410; Precision: 0.5436; Recall: 0.9164; ROC AUC: 0.5101
+[2024-05-21 17:16:45,210 INFO] Epoch:1, Snapshot:123; F1: 0.6331; Accuracy: 0.4900; Precision: 0.4873; Recall: 0.9035; ROC AUC: 0.5005
+[2024-05-21 17:16:45,226 INFO] Epoch:1, Snapshot: 51; Loss: 0.6940
+[2024-05-21 17:16:52,430 INFO] Epoch:1, Snapshot:37; F1: 0.6994; Accuracy: 0.5590; Precision: 0.5719; Recall: 0.9000; ROC AUC: 0.5035
+[2024-05-21 17:16:53,367 INFO] Epoch:1, Snapshot:38; F1: 0.6723; Accuracy: 0.5320; Precision: 0.5411; Recall: 0.8872; ROC AUC: 0.5003
+[2024-05-21 17:16:54,117 INFO] Epoch:1, Snapshot:39; F1: 0.6205; Accuracy: 0.4790; Precision: 0.4728; Recall: 0.9025; ROC AUC: 0.5015
+[2024-05-21 17:16:54,932 INFO] Epoch:1, Snapshot:40; F1: 0.6517; Accuracy: 0.5040; Precision: 0.5138; Recall: 0.8906; ROC AUC: 0.4871
+[2024-05-21 17:16:55,730 INFO] Epoch:1, Snapshot:41; F1: 0.6297; Accuracy: 0.4860; Precision: 0.4781; Recall: 0.9219; ROC AUC: 0.5075
+[2024-05-21 17:16:56,604 INFO] Epoch:1, Snapshot:42; F1: 0.6302; Accuracy: 0.4860; Precision: 0.4829; Recall: 0.9068; ROC AUC: 0.4998
+[2024-05-21 17:16:57,416 INFO] Epoch:1, Snapshot:43; F1: 0.6129; Accuracy: 0.4670; Precision: 0.4602; Recall: 0.9174; ROC AUC: 0.5004
+[2024-05-21 17:16:58,245 INFO] Epoch:1, Snapshot:44; F1: 0.6798; Accuracy: 0.5460; Precision: 0.5496; Recall: 0.8909; ROC AUC: 0.5152
+[2024-05-21 17:16:59,122 INFO] Epoch:1, Snapshot:45; F1: 0.6836; Accuracy: 0.5390; Precision: 0.5419; Recall: 0.9257; ROC AUC: 0.5072
+[2024-05-21 17:17:00,060 INFO] Epoch:1, Snapshot:46; F1: 0.6580; Accuracy: 0.5240; Precision: 0.5152; Recall: 0.9105; ROC AUC: 0.5217
+[2024-05-21 17:17:00,826 INFO] Epoch:1, Snapshot:47; F1: 0.6155; Accuracy: 0.4740; Precision: 0.4693; Recall: 0.8938; ROC AUC: 0.4970
+[2024-05-21 17:17:01,810 INFO] Epoch:1, Snapshot:48; F1: 0.6215; Accuracy: 0.4800; Precision: 0.4734; Recall: 0.9047; ROC AUC: 0.5025
+[2024-05-21 17:17:02,706 INFO] Epoch:1, Snapshot:49; F1: 0.6508; Accuracy: 0.5020; Precision: 0.5066; Recall: 0.9098; ROC AUC: 0.4937
+[2024-05-21 17:17:03,547 INFO] Epoch:1, Snapshot:50; F1: 0.6096; Accuracy: 0.4660; Precision: 0.4623; Recall: 0.8948; ROC AUC: 0.4933
+[2024-05-21 17:17:04,426 INFO] Epoch:1, Snapshot:51; F1: 0.6383; Accuracy: 0.4980; Precision: 0.4928; Recall: 0.9059; ROC AUC: 0.5068
+[2024-05-21 17:17:05,303 INFO] Epoch:1, Snapshot:52; F1: 0.6695; Accuracy: 0.5290; Precision: 0.5248; Recall: 0.9244; ROC AUC: 0.5159
+[2024-05-21 17:17:06,225 INFO] Epoch:1, Snapshot:53; F1: 0.6554; Accuracy: 0.5120; Precision: 0.5161; Recall: 0.8975; ROC AUC: 0.4984
+[2024-05-21 17:17:07,037 INFO] Epoch:1, Snapshot:54; F1: 0.6279; Accuracy: 0.4820; Precision: 0.4750; Recall: 0.9258; ROC AUC: 0.5055
+[2024-05-21 18:14:48,472 INFO] fixed random seed
+[2024-05-21 18:14:52,734 INFO] Epoch:1, Snapshot:37; F1: 0.7233; Accuracy: 0.5670; Precision: 0.5688; Recall: 0.9930; ROC AUC: 0.4977
+[2024-05-21 18:14:53,673 INFO] Epoch:1, Snapshot:38; F1: 0.6933; Accuracy: 0.5320; Precision: 0.5371; Recall: 0.9778; ROC AUC: 0.4922
+[2024-05-21 18:14:54,513 INFO] Epoch:1, Snapshot:39; F1: 0.6403; Accuracy: 0.4720; Precision: 0.4719; Recall: 0.9958; ROC AUC: 0.4998
+[2024-05-21 18:14:55,342 INFO] Epoch:1, Snapshot:40; F1: 0.6817; Accuracy: 0.5190; Precision: 0.5202; Recall: 0.9885; ROC AUC: 0.4984
+[2024-05-21 18:14:56,108 INFO] Epoch:1, Snapshot:41; F1: 0.6403; Accuracy: 0.4730; Precision: 0.4733; Recall: 0.9895; ROC AUC: 0.4985
+[2024-05-21 18:14:56,951 INFO] Epoch:1, Snapshot:42; F1: 0.6508; Accuracy: 0.4860; Precision: 0.4843; Recall: 0.9917; ROC AUC: 0.5026
+[2024-05-21 18:14:57,749 INFO] Epoch:1, Snapshot:43; F1: 0.6272; Accuracy: 0.4590; Precision: 0.4591; Recall: 0.9891; ROC AUC: 0.4983
+[2024-05-21 18:14:58,639 INFO] Epoch:1, Snapshot:44; F1: 0.6988; Accuracy: 0.5380; Precision: 0.5398; Recall: 0.9908; ROC AUC: 0.4976
+[2024-05-21 18:14:59,514 INFO] Epoch:1, Snapshot:45; F1: 0.6955; Accuracy: 0.5350; Precision: 0.5369; Recall: 0.9870; ROC AUC: 0.4978
+[2024-05-21 18:15:00,436 INFO] Epoch:1, Snapshot:46; F1: 0.6676; Accuracy: 0.5030; Precision: 0.5030; Recall: 0.9920; ROC AUC: 0.5000
+[2024-05-21 18:15:01,218 INFO] Epoch:1, Snapshot:47; F1: 0.6374; Accuracy: 0.4720; Precision: 0.4711; Recall: 0.9851; ROC AUC: 0.5001
+[2024-05-21 18:15:02,171 INFO] Epoch:1, Snapshot:48; F1: 0.6347; Accuracy: 0.4670; Precision: 0.4691; Recall: 0.9809; ROC AUC: 0.4943
+[2024-05-21 18:15:03,078 INFO] Epoch:1, Snapshot:49; F1: 0.6742; Accuracy: 0.5100; Precision: 0.5101; Recall: 0.9941; ROC AUC: 0.5001
+[2024-05-21 18:15:03,891 INFO] Epoch:1, Snapshot:50; F1: 0.6310; Accuracy: 0.4620; Precision: 0.4637; Recall: 0.9871; ROC AUC: 0.4954
+[2024-05-21 18:15:04,734 INFO] Epoch:1, Snapshot:51; F1: 0.6568; Accuracy: 0.4920; Precision: 0.4904; Recall: 0.9939; ROC AUC: 0.5028
+[2024-05-21 18:15:05,562 INFO] Epoch:1, Snapshot:52; F1: 0.6773; Accuracy: 0.5140; Precision: 0.5152; Recall: 0.9884; ROC AUC: 0.4983
+[2024-05-21 18:15:06,500 INFO] Epoch:1, Snapshot:53; F1: 0.6839; Accuracy: 0.5230; Precision: 0.5202; Recall: 0.9981; ROC AUC: 0.5063
+[2024-05-21 18:15:07,344 INFO] Epoch:1, Snapshot:54; F1: 0.6388; Accuracy: 0.4730; Precision: 0.4721; Recall: 0.9873; ROC AUC: 0.5003
+[2024-05-21 18:15:08,218 INFO] Epoch:1, Snapshot:55; F1: 0.6933; Accuracy: 0.5310; Precision: 0.5321; Recall: 0.9944; ROC AUC: 0.4983
+[2024-05-21 18:15:09,094 INFO] Epoch:1, Snapshot:56; F1: 0.6782; Accuracy: 0.5160; Precision: 0.5152; Recall: 0.9922; ROC AUC: 0.5023
+[2024-05-21 18:15:09,923 INFO] Epoch:1, Snapshot:57; F1: 0.6755; Accuracy: 0.5120; Precision: 0.5121; Recall: 0.9922; ROC AUC: 0.5002
+[2024-05-21 18:15:10,720 INFO] Epoch:1, Snapshot:58; F1: 0.6662; Accuracy: 0.5020; Precision: 0.4995; Recall: 1.0000; ROC AUC: 0.5050
+[2024-05-21 18:15:11,685 INFO] Epoch:1, Snapshot:59; F1: 0.6969; Accuracy: 0.5380; Precision: 0.5374; Recall: 0.9907; ROC AUC: 0.5029
+[2024-05-21 18:15:12,595 INFO] Epoch:1, Snapshot:60; F1: 0.6716; Accuracy: 0.5100; Precision: 0.5091; Recall: 0.9862; ROC AUC: 0.5023
+[2024-05-21 18:15:13,627 INFO] Epoch:1, Snapshot:61; F1: 0.6453; Accuracy: 0.4800; Precision: 0.4807; Recall: 0.9813; ROC AUC: 0.4974
+[2024-05-21 18:15:14,689 INFO] Epoch:1, Snapshot:62; F1: 0.6481; Accuracy: 0.4830; Precision: 0.4818; Recall: 0.9896; ROC AUC: 0.5015
+[2024-05-21 18:15:15,783 INFO] Epoch:1, Snapshot:63; F1: 0.6671; Accuracy: 0.5030; Precision: 0.5035; Recall: 0.9881; ROC AUC: 0.4991
+[2024-05-21 18:15:16,736 INFO] Epoch:1, Snapshot:64; F1: 0.6360; Accuracy: 0.4700; Precision: 0.4696; Recall: 0.9851; ROC AUC: 0.4992
+[2024-05-21 18:15:17,643 INFO] Epoch:1, Snapshot:65; F1: 0.6379; Accuracy: 0.4710; Precision: 0.4698; Recall: 0.9936; ROC AUC: 0.5015
+[2024-05-21 18:15:18,674 INFO] Epoch:1, Snapshot:66; F1: 0.7189; Accuracy: 0.5620; Precision: 0.5611; Recall: 1.0000; ROC AUC: 0.5023
+[2024-05-21 18:15:19,503 INFO] Epoch:1, Snapshot:67; F1: 0.6608; Accuracy: 0.4950; Precision: 0.4975; Recall: 0.9840; ROC AUC: 0.4950
+[2024-05-21 18:15:20,315 INFO] Epoch:1, Snapshot:68; F1: 0.6468; Accuracy: 0.4790; Precision: 0.4804; Recall: 0.9896; ROC AUC: 0.4967
+[2024-05-21 18:15:21,174 INFO] Epoch:1, Snapshot:69; F1: 0.6558; Accuracy: 0.4920; Precision: 0.4909; Recall: 0.9878; ROC AUC: 0.5017
+[2024-05-21 18:15:22,143 INFO] Epoch:1, Snapshot:70; F1: 0.6821; Accuracy: 0.5200; Precision: 0.5228; Recall: 0.9810; ROC AUC: 0.4957
+[2024-05-21 18:15:23,065 INFO] Epoch:1, Snapshot:71; F1: 0.6563; Accuracy: 0.4900; Precision: 0.4909; Recall: 0.9898; ROC AUC: 0.4979
+[2024-05-21 18:15:23,940 INFO] Epoch:1, Snapshot:72; F1: 0.6366; Accuracy: 0.4680; Precision: 0.4688; Recall: 0.9915; ROC AUC: 0.4976
+[2024-05-21 18:15:24,690 INFO] Epoch:1, Snapshot:73; F1: 0.5979; Accuracy: 0.4310; Precision: 0.4290; Recall: 0.9860; ROC AUC: 0.5000
+[2024-05-21 18:15:25,518 INFO] Epoch:1, Snapshot:74; F1: 0.6146; Accuracy: 0.4470; Precision: 0.4450; Recall: 0.9932; ROC AUC: 0.5020
+[2024-05-21 18:15:26,393 INFO] Epoch:1, Snapshot:75; F1: 0.6259; Accuracy: 0.4560; Precision: 0.4582; Recall: 0.9870; ROC AUC: 0.4944
+[2024-05-21 18:15:27,221 INFO] Epoch:1, Snapshot:76; F1: 0.6517; Accuracy: 0.4870; Precision: 0.4853; Recall: 0.9917; ROC AUC: 0.5027
+[2024-05-21 18:15:28,143 INFO] Epoch:1, Snapshot:77; F1: 0.6653; Accuracy: 0.5020; Precision: 0.5030; Recall: 0.9821; ROC AUC: 0.4981
+[2024-05-21 18:15:29,065 INFO] Epoch:1, Snapshot:78; F1: 0.7015; Accuracy: 0.5430; Precision: 0.5441; Recall: 0.9871; ROC AUC: 0.5001
+[2024-05-21 18:15:29,940 INFO] Epoch:1, Snapshot:79; F1: 0.6803; Accuracy: 0.5170; Precision: 0.5208; Recall: 0.9809; ROC AUC: 0.4936
+[2024-05-21 18:15:30,753 INFO] Epoch:1, Snapshot:80; F1: 0.6622; Accuracy: 0.4970; Precision: 0.4985; Recall: 0.9860; ROC AUC: 0.4970
+[2024-05-21 18:15:32,059 INFO] Epoch:1, Snapshot:81; F1: 0.6817; Accuracy: 0.5210; Precision: 0.5198; Recall: 0.9903; ROC AUC: 0.5035
+[2024-05-21 18:15:33,084 INFO] Epoch:1, Snapshot:82; F1: 0.6370; Accuracy: 0.4700; Precision: 0.4683; Recall: 0.9957; ROC AUC: 0.5025
+[2024-05-21 18:15:34,175 INFO] Epoch:1, Snapshot:83; F1: 0.6878; Accuracy: 0.5270; Precision: 0.5263; Recall: 0.9924; ROC AUC: 0.5025
+[2024-05-21 18:15:35,090 INFO] Epoch:1, Snapshot:84; F1: 0.6821; Accuracy: 0.5200; Precision: 0.5192; Recall: 0.9942; ROC AUC: 0.5023
+[2024-05-21 18:15:35,957 INFO] Epoch:1, Snapshot:85; F1: 0.6851; Accuracy: 0.5220; Precision: 0.5242; Recall: 0.9886; ROC AUC: 0.4964
+[2024-05-21 18:15:36,850 INFO] Epoch:1, Snapshot:86; F1: 0.6689; Accuracy: 0.5040; Precision: 0.5055; Recall: 0.9882; ROC AUC: 0.4971
+[2024-05-21 18:15:37,757 INFO] Epoch:1, Snapshot:87; F1: 0.6513; Accuracy: 0.4860; Precision: 0.4848; Recall: 0.9917; ROC AUC: 0.5017
+[2024-05-21 18:15:38,632 INFO] Epoch:1, Snapshot:88; F1: 0.6586; Accuracy: 0.4930; Precision: 0.4924; Recall: 0.9939; ROC AUC: 0.5009
+[2024-05-21 18:15:39,710 INFO] Epoch:1, Snapshot:89; F1: 0.7032; Accuracy: 0.5450; Precision: 0.5444; Recall: 0.9926; ROC AUC: 0.5029
+[2024-05-21 18:15:40,523 INFO] Epoch:1, Snapshot:90; F1: 0.6472; Accuracy: 0.4810; Precision: 0.4798; Recall: 0.9937; ROC AUC: 0.5017
+[2024-05-21 18:15:41,430 INFO] Epoch:1, Snapshot:91; F1: 0.6975; Accuracy: 0.5360; Precision: 0.5388; Recall: 0.9889; ROC AUC: 0.4955
+[2024-05-21 18:15:42,336 INFO] Epoch:1, Snapshot:92; F1: 0.6531; Accuracy: 0.4880; Precision: 0.4849; Recall: 1.0000; ROC AUC: 0.5058
+[2024-05-21 18:15:43,134 INFO] Epoch:1, Snapshot:93; F1: 0.6653; Accuracy: 0.5020; Precision: 0.5020; Recall: 0.9861; ROC AUC: 0.5001
+[2024-05-21 18:15:43,946 INFO] Epoch:1, Snapshot:94; F1: 0.6531; Accuracy: 0.4890; Precision: 0.4878; Recall: 0.9877; ROC AUC: 0.5016
+[2024-05-21 18:15:44,806 INFO] Epoch:1, Snapshot:95; F1: 0.6847; Accuracy: 0.5230; Precision: 0.5243; Recall: 0.9867; ROC AUC: 0.4986
+[2024-05-21 18:15:45,727 INFO] Epoch:1, Snapshot:96; F1: 0.6590; Accuracy: 0.4930; Precision: 0.4954; Recall: 0.9839; ROC AUC: 0.4950
+[2024-05-21 18:15:46,634 INFO] Epoch:1, Snapshot:97; F1: 0.6917; Accuracy: 0.5310; Precision: 0.5308; Recall: 0.9925; ROC AUC: 0.5015
+[2024-05-21 18:15:47,415 INFO] Epoch:1, Snapshot:98; F1: 0.6733; Accuracy: 0.5080; Precision: 0.5106; Recall: 0.9883; ROC AUC: 0.4952
+[2024-05-21 18:15:48,446 INFO] Epoch:1, Snapshot:99; F1: 0.6581; Accuracy: 0.4930; Precision: 0.4909; Recall: 0.9980; ROC AUC: 0.5039
+[2024-05-21 18:15:49,657 INFO] Epoch:1, Snapshot:100; F1: 0.6777; Accuracy: 0.5150; Precision: 0.5146; Recall: 0.9922; ROC AUC: 0.5013
+[2024-05-21 18:15:50,556 INFO] Epoch:1, Snapshot:101; F1: 0.6375; Accuracy: 0.4690; Precision: 0.4708; Recall: 0.9873; ROC AUC: 0.4956
+[2024-05-21 18:15:51,416 INFO] Epoch:1, Snapshot:102; F1: 0.6582; Accuracy: 0.4910; Precision: 0.4920; Recall: 0.9939; ROC AUC: 0.4979
+[2024-05-21 18:15:52,323 INFO] Epoch:1, Snapshot:103; F1: 0.6563; Accuracy: 0.4900; Precision: 0.4894; Recall: 0.9959; ROC AUC: 0.5009
+[2024-05-21 18:15:53,206 INFO] Epoch:1, Snapshot:104; F1: 0.6508; Accuracy: 0.4860; Precision: 0.4838; Recall: 0.9938; ROC AUC: 0.5036
+[2024-05-21 18:15:54,135 INFO] Epoch:1, Snapshot:105; F1: 0.6159; Accuracy: 0.4500; Precision: 0.4459; Recall: 0.9955; ROC AUC: 0.5058
+[2024-05-21 18:15:55,067 INFO] Epoch:1, Snapshot:106; F1: 0.6003; Accuracy: 0.4340; Precision: 0.4306; Recall: 0.9907; ROC AUC: 0.5032
+[2024-05-21 18:15:55,956 INFO] Epoch:1, Snapshot:107; F1: 0.6463; Accuracy: 0.4790; Precision: 0.4798; Recall: 0.9896; ROC AUC: 0.4977
+[2024-05-21 18:15:56,969 INFO] Epoch:1, Snapshot:108; F1: 0.6755; Accuracy: 0.5120; Precision: 0.5116; Recall: 0.9941; ROC AUC: 0.5012
+[2024-05-21 18:15:57,939 INFO] Epoch:1, Snapshot:109; F1: 0.6568; Accuracy: 0.4910; Precision: 0.4924; Recall: 0.9858; ROC AUC: 0.4969
+[2024-05-21 18:15:58,808 INFO] Epoch:1, Snapshot:110; F1: 0.6653; Accuracy: 0.5020; Precision: 0.5010; Recall: 0.9900; ROC AUC: 0.5020
+[2024-05-21 18:15:59,620 INFO] Epoch:1, Snapshot:111; F1: 0.6393; Accuracy: 0.4720; Precision: 0.4718; Recall: 0.9915; ROC AUC: 0.4996
+[2024-05-21 18:16:00,721 INFO] Epoch:1, Snapshot:112; F1: 0.6702; Accuracy: 0.5070; Precision: 0.5055; Recall: 0.9940; ROC AUC: 0.5031
+[2024-05-21 18:16:01,676 INFO] Epoch:1, Snapshot:113; F1: 0.6558; Accuracy: 0.4940; Precision: 0.4908; Recall: 0.9877; ROC AUC: 0.5056
+[2024-05-21 18:16:02,789 INFO] Epoch:1, Snapshot:114; F1: 0.6886; Accuracy: 0.5260; Precision: 0.5266; Recall: 0.9943; ROC AUC: 0.4993
+[2024-05-21 18:16:03,840 INFO] Epoch:1, Snapshot:115; F1: 0.6426; Accuracy: 0.4760; Precision: 0.4753; Recall: 0.9916; ROC AUC: 0.5006
+[2024-05-21 18:16:04,828 INFO] Epoch:1, Snapshot:116; F1: 0.6604; Accuracy: 0.4970; Precision: 0.4949; Recall: 0.9919; ROC AUC: 0.5038
+[2024-05-21 18:16:05,912 INFO] Epoch:1, Snapshot:117; F1: 0.6403; Accuracy: 0.4720; Precision: 0.4738; Recall: 0.9874; ROC AUC: 0.4956
+[2024-05-21 18:16:06,916 INFO] Epoch:1, Snapshot:118; F1: 0.6795; Accuracy: 0.5170; Precision: 0.5198; Recall: 0.9808; ROC AUC: 0.4957
+[2024-05-21 18:16:07,870 INFO] Epoch:1, Snapshot:119; F1: 0.6572; Accuracy: 0.4930; Precision: 0.4914; Recall: 0.9918; ROC AUC: 0.5028
+[2024-05-21 18:16:08,846 INFO] Epoch:1, Snapshot:120; F1: 0.6481; Accuracy: 0.4830; Precision: 0.4832; Recall: 0.9835; ROC AUC: 0.4985
+[2024-05-21 18:16:09,800 INFO] Epoch:1, Snapshot:121; F1: 0.6617; Accuracy: 0.4960; Precision: 0.4965; Recall: 0.9920; ROC AUC: 0.4990
+[2024-05-21 18:16:10,695 INFO] Epoch:1, Snapshot:122; F1: 0.6942; Accuracy: 0.5340; Precision: 0.5365; Recall: 0.9833; ROC AUC: 0.4970
+[2024-05-21 18:16:11,696 INFO] Epoch:1, Snapshot:123; F1: 0.6518; Accuracy: 0.4840; Precision: 0.4854; Recall: 0.9918; ROC AUC: 0.4969
+[2024-05-21 18:16:11,712 INFO] Epoch:1, Snapshot: 0; Loss: 1.2499
+[2024-05-21 18:16:22,217 INFO] Epoch:1, Snapshot:37; F1: 0.7197; Accuracy: 0.5630; Precision: 0.5672; Recall: 0.9842; ROC AUC: 0.4944
+[2024-05-21 18:16:23,114 INFO] Epoch:1, Snapshot:38; F1: 0.6976; Accuracy: 0.5380; Precision: 0.5400; Recall: 0.9852; ROC AUC: 0.4981
+[2024-05-21 18:16:23,865 INFO] Epoch:1, Snapshot:39; F1: 0.6384; Accuracy: 0.4710; Precision: 0.4712; Recall: 0.9894; ROC AUC: 0.4985
+[2024-05-21 18:16:24,645 INFO] Epoch:1, Snapshot:40; F1: 0.6848; Accuracy: 0.5240; Precision: 0.5228; Recall: 0.9923; ROC AUC: 0.5035
+[2024-05-21 18:16:25,459 INFO] Epoch:1, Snapshot:41; F1: 0.6444; Accuracy: 0.4780; Precision: 0.4759; Recall: 0.9979; ROC AUC: 0.5037
+[2024-05-21 18:16:26,306 INFO] Epoch:1, Snapshot:42; F1: 0.6457; Accuracy: 0.4810; Precision: 0.4817; Recall: 0.9793; ROC AUC: 0.4974
+[2024-05-21 18:16:27,139 INFO] Epoch:1, Snapshot:43; F1: 0.6239; Accuracy: 0.4550; Precision: 0.4570; Recall: 0.9826; ROC AUC: 0.4941
+[2024-05-21 18:16:28,015 INFO] Epoch:1, Snapshot:44; F1: 0.7003; Accuracy: 0.5420; Precision: 0.5420; Recall: 0.9889; ROC AUC: 0.5021
+[2024-05-21 18:16:28,859 INFO] Epoch:1, Snapshot:45; F1: 0.6954; Accuracy: 0.5340; Precision: 0.5363; Recall: 0.9888; ROC AUC: 0.4966
+[2024-05-21 18:16:29,766 INFO] Epoch:1, Snapshot:46; F1: 0.6667; Accuracy: 0.5020; Precision: 0.5025; Recall: 0.9901; ROC AUC: 0.4991
+[2024-05-21 18:16:30,547 INFO] Epoch:1, Snapshot:47; F1: 0.6412; Accuracy: 0.4740; Precision: 0.4724; Recall: 0.9979; ROC AUC: 0.5027
+[2024-05-21 18:16:31,485 INFO] Epoch:1, Snapshot:48; F1: 0.6434; Accuracy: 0.4780; Precision: 0.4748; Recall: 0.9979; ROC AUC: 0.5056
+[2024-05-21 18:16:32,391 INFO] Epoch:1, Snapshot:49; F1: 0.6733; Accuracy: 0.5110; Precision: 0.5106; Recall: 0.9882; ROC AUC: 0.5013
+[2024-05-21 18:16:33,266 INFO] Epoch:1, Snapshot:50; F1: 0.6374; Accuracy: 0.4720; Precision: 0.4687; Recall: 0.9957; ROC AUC: 0.5053
+[2024-05-21 18:16:34,126 INFO] Epoch:1, Snapshot:51; F1: 0.6554; Accuracy: 0.4900; Precision: 0.4894; Recall: 0.9918; ROC AUC: 0.5008
+[2024-05-21 18:16:34,986 INFO] Epoch:1, Snapshot:52; F1: 0.6777; Accuracy: 0.5150; Precision: 0.5157; Recall: 0.9884; ROC AUC: 0.4994
+[2024-05-21 18:16:35,936 INFO] Epoch:1, Snapshot:53; F1: 0.6782; Accuracy: 0.5160; Precision: 0.5167; Recall: 0.9865; ROC AUC: 0.4994
+[2024-05-21 18:16:36,783 INFO] Epoch:1, Snapshot:54; F1: 0.6397; Accuracy: 0.4740; Precision: 0.4727; Recall: 0.9894; ROC AUC: 0.5013
+[2024-05-21 18:16:37,627 INFO] Epoch:1, Snapshot:55; F1: 0.6929; Accuracy: 0.5320; Precision: 0.5328; Recall: 0.9906; ROC AUC: 0.4996
+[2024-05-21 18:16:38,471 INFO] Epoch:1, Snapshot:56; F1: 0.6786; Accuracy: 0.5170; Precision: 0.5157; Recall: 0.9922; ROC AUC: 0.5033
+[2024-05-21 18:16:39,252 INFO] Epoch:1, Snapshot:57; F1: 0.6724; Accuracy: 0.5080; Precision: 0.5101; Recall: 0.9863; ROC AUC: 0.4962
+[2024-05-21 18:16:40,049 INFO] Epoch:1, Snapshot:58; F1: 0.6644; Accuracy: 0.5010; Precision: 0.4990; Recall: 0.9940; ROC AUC: 0.5039
+[2024-05-21 18:16:41,019 INFO] Epoch:1, Snapshot:59; F1: 0.6982; Accuracy: 0.5400; Precision: 0.5385; Recall: 0.9925; ROC AUC: 0.5049
+[2024-05-21 18:16:41,885 INFO] Epoch:1, Snapshot:60; F1: 0.6689; Accuracy: 0.5060; Precision: 0.5071; Recall: 0.9823; ROC AUC: 0.4983
+[2024-05-21 18:16:42,921 INFO] Epoch:1, Snapshot:61; F1: 0.6463; Accuracy: 0.4790; Precision: 0.4803; Recall: 0.9876; ROC AUC: 0.4967
+[2024-05-21 18:16:44,073 INFO] Epoch:1, Snapshot:62; F1: 0.6476; Accuracy: 0.4830; Precision: 0.4817; Recall: 0.9875; ROC AUC: 0.5015
+[2024-05-21 18:16:45,191 INFO] Epoch:1, Snapshot:63; F1: 0.6702; Accuracy: 0.5080; Precision: 0.5061; Recall: 0.9921; ROC AUC: 0.5041
+[2024-05-21 18:16:46,177 INFO] Epoch:1, Snapshot:64; F1: 0.6379; Accuracy: 0.4710; Precision: 0.4702; Recall: 0.9915; ROC AUC: 0.5005
+[2024-05-21 18:16:47,075 INFO] Epoch:1, Snapshot:65; F1: 0.6366; Accuracy: 0.4690; Precision: 0.4688; Recall: 0.9915; ROC AUC: 0.4995
+[2024-05-21 18:16:48,083 INFO] Epoch:1, Snapshot:66; F1: 0.7156; Accuracy: 0.5580; Precision: 0.5594; Recall: 0.9929; ROC AUC: 0.4987
+[2024-05-21 18:16:48,962 INFO] Epoch:1, Snapshot:67; F1: 0.6658; Accuracy: 0.5010; Precision: 0.5005; Recall: 0.9940; ROC AUC: 0.5010
+[2024-05-21 18:16:49,744 INFO] Epoch:1, Snapshot:68; F1: 0.6508; Accuracy: 0.4870; Precision: 0.4843; Recall: 0.9917; ROC AUC: 0.5045
+[2024-05-21 18:16:50,617 INFO] Epoch:1, Snapshot:69; F1: 0.6545; Accuracy: 0.4890; Precision: 0.4894; Recall: 0.9878; ROC AUC: 0.4988
+[2024-05-21 18:16:51,567 INFO] Epoch:1, Snapshot:70; F1: 0.6860; Accuracy: 0.5240; Precision: 0.5247; Recall: 0.9905; ROC AUC: 0.4994
+[2024-05-21 18:16:52,432 INFO] Epoch:1, Snapshot:71; F1: 0.6577; Accuracy: 0.4930; Precision: 0.4924; Recall: 0.9898; ROC AUC: 0.5008
+[2024-05-21 18:16:53,287 INFO] Epoch:1, Snapshot:72; F1: 0.6384; Accuracy: 0.4710; Precision: 0.4703; Recall: 0.9936; ROC AUC: 0.5006
+[2024-05-21 18:16:54,037 INFO] Epoch:1, Snapshot:73; F1: 0.5992; Accuracy: 0.4300; Precision: 0.4290; Recall: 0.9930; ROC AUC: 0.5000
+[2024-05-21 18:16:54,837 INFO] Epoch:1, Snapshot:74; F1: 0.6162; Accuracy: 0.4470; Precision: 0.4453; Recall: 1.0000; ROC AUC: 0.5027
+[2024-05-21 18:16:55,744 INFO] Epoch:1, Snapshot:75; F1: 0.6291; Accuracy: 0.4600; Precision: 0.4603; Recall: 0.9935; ROC AUC: 0.4986
+[2024-05-21 18:16:56,558 INFO] Epoch:1, Snapshot:76; F1: 0.6513; Accuracy: 0.4860; Precision: 0.4848; Recall: 0.9917; ROC AUC: 0.5017
+[2024-05-21 18:16:57,533 INFO] Epoch:1, Snapshot:77; F1: 0.6667; Accuracy: 0.5020; Precision: 0.5030; Recall: 0.9881; ROC AUC: 0.4981
+[2024-05-21 18:16:58,498 INFO] Epoch:1, Snapshot:78; F1: 0.7027; Accuracy: 0.5430; Precision: 0.5438; Recall: 0.9926; ROC AUC: 0.4996
+[2024-05-21 18:16:59,432 INFO] Epoch:1, Snapshot:79; F1: 0.6873; Accuracy: 0.5260; Precision: 0.5252; Recall: 0.9943; ROC AUC: 0.5024
+[2024-05-21 18:17:00,278 INFO] Epoch:1, Snapshot:80; F1: 0.6658; Accuracy: 0.5020; Precision: 0.5010; Recall: 0.9920; ROC AUC: 0.5020
+[2024-05-21 18:17:01,283 INFO] Epoch:1, Snapshot:81; F1: 0.6764; Accuracy: 0.5140; Precision: 0.5163; Recall: 0.9807; ROC AUC: 0.4966
+[2024-05-21 18:17:02,157 INFO] Epoch:1, Snapshot:82; F1: 0.6360; Accuracy: 0.4700; Precision: 0.4681; Recall: 0.9914; ROC AUC: 0.5023
+[2024-05-21 18:17:03,185 INFO] Epoch:1, Snapshot:83; F1: 0.6860; Accuracy: 0.5230; Precision: 0.5241; Recall: 0.9924; ROC AUC: 0.4983
+[2024-05-21 18:17:04,064 INFO] Epoch:1, Snapshot:84; F1: 0.6817; Accuracy: 0.5190; Precision: 0.5186; Recall: 0.9942; ROC AUC: 0.5013
+[2024-05-21 18:17:04,951 INFO] Epoch:1, Snapshot:85; F1: 0.6847; Accuracy: 0.5230; Precision: 0.5248; Recall: 0.9848; ROC AUC: 0.4977
+[2024-05-21 18:17:05,891 INFO] Epoch:1, Snapshot:86; F1: 0.6756; Accuracy: 0.5150; Precision: 0.5111; Recall: 0.9961; ROC AUC: 0.5082
+[2024-05-21 18:17:06,884 INFO] Epoch:1, Snapshot:87; F1: 0.6490; Accuracy: 0.4830; Precision: 0.4833; Recall: 0.9876; ROC AUC: 0.4986
+[2024-05-21 18:17:07,855 INFO] Epoch:1, Snapshot:88; F1: 0.6545; Accuracy: 0.4880; Precision: 0.4899; Recall: 0.9858; ROC AUC: 0.4958
+[2024-05-21 18:17:08,922 INFO] Epoch:1, Snapshot:89; F1: 0.6997; Accuracy: 0.5390; Precision: 0.5413; Recall: 0.9890; ROC AUC: 0.4967
+[2024-05-21 18:17:09,789 INFO] Epoch:1, Snapshot:90; F1: 0.6453; Accuracy: 0.4790; Precision: 0.4788; Recall: 0.9896; ROC AUC: 0.4996
+[2024-05-21 18:17:15,978 INFO] fixed random seed
+[2024-05-21 18:17:20,770 INFO] Epoch:1, Snapshot:37; F1: 0.0000; Accuracy: 0.4300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:21,622 INFO] Epoch:1, Snapshot:38; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:22,388 INFO] Epoch:1, Snapshot:39; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:23,222 INFO] Epoch:1, Snapshot:40; F1: 0.0000; Accuracy: 0.4790; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:24,033 INFO] Epoch:1, Snapshot:41; F1: 0.0000; Accuracy: 0.5260; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:24,885 INFO] Epoch:1, Snapshot:42; F1: 0.0000; Accuracy: 0.5170; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:25,739 INFO] Epoch:1, Snapshot:43; F1: 0.0000; Accuracy: 0.5400; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:26,572 INFO] Epoch:1, Snapshot:44; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:27,431 INFO] Epoch:1, Snapshot:45; F1: 0.0000; Accuracy: 0.4620; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:28,339 INFO] Epoch:1, Snapshot:46; F1: 0.0000; Accuracy: 0.4970; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:29,073 INFO] Epoch:1, Snapshot:47; F1: 0.0000; Accuracy: 0.5290; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:30,026 INFO] Epoch:1, Snapshot:48; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:30,887 INFO] Epoch:1, Snapshot:49; F1: 0.0000; Accuracy: 0.4900; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:31,699 INFO] Epoch:1, Snapshot:50; F1: 0.0000; Accuracy: 0.5340; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:32,575 INFO] Epoch:1, Snapshot:51; F1: 0.0000; Accuracy: 0.5110; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:33,435 INFO] Epoch:1, Snapshot:52; F1: 0.0000; Accuracy: 0.4840; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:34,310 INFO] Epoch:1, Snapshot:53; F1: 0.0000; Accuracy: 0.4830; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:35,155 INFO] Epoch:1, Snapshot:54; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:36,014 INFO] Epoch:1, Snapshot:55; F1: 0.0000; Accuracy: 0.4670; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:36,843 INFO] Epoch:1, Snapshot:56; F1: 0.0000; Accuracy: 0.4860; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:37,624 INFO] Epoch:1, Snapshot:57; F1: 0.0000; Accuracy: 0.4880; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:38,472 INFO] Epoch:1, Snapshot:58; F1: 0.0000; Accuracy: 0.5030; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:39,471 INFO] Epoch:1, Snapshot:59; F1: 0.0000; Accuracy: 0.4640; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:40,353 INFO] Epoch:1, Snapshot:60; F1: 0.0000; Accuracy: 0.4920; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:41,372 INFO] Epoch:1, Snapshot:61; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:42,367 INFO] Epoch:1, Snapshot:62; F1: 0.0000; Accuracy: 0.5190; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:43,429 INFO] Epoch:1, Snapshot:63; F1: 0.0000; Accuracy: 0.4960; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:44,422 INFO] Epoch:1, Snapshot:64; F1: 0.0000; Accuracy: 0.5300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:45,354 INFO] Epoch:1, Snapshot:65; F1: 0.0000; Accuracy: 0.5310; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:46,355 INFO] Epoch:1, Snapshot:66; F1: 0.0000; Accuracy: 0.4400; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:47,172 INFO] Epoch:1, Snapshot:67; F1: 0.0000; Accuracy: 0.5000; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:47,990 INFO] Epoch:1, Snapshot:68; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:48,875 INFO] Epoch:1, Snapshot:69; F1: 0.0000; Accuracy: 0.5100; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:49,782 INFO] Epoch:1, Snapshot:70; F1: 0.0000; Accuracy: 0.4750; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:50,713 INFO] Epoch:1, Snapshot:71; F1: 0.0000; Accuracy: 0.5080; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:51,583 INFO] Epoch:1, Snapshot:72; F1: 0.0000; Accuracy: 0.5300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:52,339 INFO] Epoch:1, Snapshot:73; F1: 0.0000; Accuracy: 0.5710; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:53,153 INFO] Epoch:1, Snapshot:74; F1: 0.0000; Accuracy: 0.5560; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:53,984 INFO] Epoch:1, Snapshot:75; F1: 0.0000; Accuracy: 0.5390; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:54,755 INFO] Epoch:1, Snapshot:76; F1: 0.0000; Accuracy: 0.5160; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:55,689 INFO] Epoch:1, Snapshot:77; F1: 0.0000; Accuracy: 0.4960; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:56,670 INFO] Epoch:1, Snapshot:78; F1: 0.0000; Accuracy: 0.4560; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:57,586 INFO] Epoch:1, Snapshot:79; F1: 0.0000; Accuracy: 0.4760; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:58,476 INFO] Epoch:1, Snapshot:80; F1: 0.0000; Accuracy: 0.5000; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:17:59,446 INFO] Epoch:1, Snapshot:81; F1: 0.0000; Accuracy: 0.4820; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:00,296 INFO] Epoch:1, Snapshot:82; F1: 0.0000; Accuracy: 0.5330; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:01,299 INFO] Epoch:1, Snapshot:83; F1: 0.0000; Accuracy: 0.4750; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:02,174 INFO] Epoch:1, Snapshot:84; F1: 0.0000; Accuracy: 0.4820; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:03,068 INFO] Epoch:1, Snapshot:85; F1: 0.0000; Accuracy: 0.4740; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:03,960 INFO] Epoch:1, Snapshot:86; F1: 0.0000; Accuracy: 0.4930; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:04,906 INFO] Epoch:1, Snapshot:87; F1: 0.0000; Accuracy: 0.5160; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:05,761 INFO] Epoch:1, Snapshot:88; F1: 0.0000; Accuracy: 0.5080; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:06,808 INFO] Epoch:1, Snapshot:89; F1: 0.0000; Accuracy: 0.4570; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:07,652 INFO] Epoch:1, Snapshot:90; F1: 0.0000; Accuracy: 0.5210; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:08,559 INFO] Epoch:1, Snapshot:91; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:09,434 INFO] Epoch:1, Snapshot:92; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:10,297 INFO] Epoch:1, Snapshot:93; F1: 0.0000; Accuracy: 0.4980; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:11,103 INFO] Epoch:1, Snapshot:94; F1: 0.0000; Accuracy: 0.5130; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:11,968 INFO] Epoch:1, Snapshot:95; F1: 0.0000; Accuracy: 0.4750; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:12,887 INFO] Epoch:1, Snapshot:96; F1: 0.0000; Accuracy: 0.5020; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:13,807 INFO] Epoch:1, Snapshot:97; F1: 0.0000; Accuracy: 0.4700; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:14,609 INFO] Epoch:1, Snapshot:98; F1: 0.0000; Accuracy: 0.4870; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:15,544 INFO] Epoch:1, Snapshot:99; F1: 0.0000; Accuracy: 0.5110; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:16,650 INFO] Epoch:1, Snapshot:100; F1: 0.0000; Accuracy: 0.4860; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:17,536 INFO] Epoch:1, Snapshot:101; F1: 0.0000; Accuracy: 0.5270; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:18,431 INFO] Epoch:1, Snapshot:102; F1: 0.0000; Accuracy: 0.5070; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:19,338 INFO] Epoch:1, Snapshot:103; F1: 0.0000; Accuracy: 0.5110; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:20,138 INFO] Epoch:1, Snapshot:104; F1: 0.0000; Accuracy: 0.5180; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:21,068 INFO] Epoch:1, Snapshot:105; F1: 0.0000; Accuracy: 0.5570; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:21,983 INFO] Epoch:1, Snapshot:106; F1: 0.0000; Accuracy: 0.5710; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:22,982 INFO] Epoch:1, Snapshot:107; F1: 0.0000; Accuracy: 0.5190; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:23,974 INFO] Epoch:1, Snapshot:108; F1: 0.0000; Accuracy: 0.4890; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:24,956 INFO] Epoch:1, Snapshot:109; F1: 0.0000; Accuracy: 0.5060; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:25,839 INFO] Epoch:1, Snapshot:110; F1: 0.0000; Accuracy: 0.5000; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:26,683 INFO] Epoch:1, Snapshot:111; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:27,748 INFO] Epoch:1, Snapshot:112; F1: 0.0000; Accuracy: 0.4960; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:28,688 INFO] Epoch:1, Snapshot:113; F1: 0.0000; Accuracy: 0.5120; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:29,807 INFO] Epoch:1, Snapshot:114; F1: 0.0000; Accuracy: 0.4730; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:30,869 INFO] Epoch:1, Snapshot:115; F1: 0.0000; Accuracy: 0.5250; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:31,854 INFO] Epoch:1, Snapshot:116; F1: 0.0000; Accuracy: 0.5070; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:32,918 INFO] Epoch:1, Snapshot:117; F1: 0.0000; Accuracy: 0.5240; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:33,902 INFO] Epoch:1, Snapshot:118; F1: 0.0000; Accuracy: 0.4780; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:34,872 INFO] Epoch:1, Snapshot:119; F1: 0.0000; Accuracy: 0.5100; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:35,841 INFO] Epoch:1, Snapshot:120; F1: 0.0000; Accuracy: 0.5160; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:36,781 INFO] Epoch:1, Snapshot:121; F1: 0.0000; Accuracy: 0.5030; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:37,764 INFO] Epoch:1, Snapshot:122; F1: 0.0000; Accuracy: 0.4620; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:38,815 INFO] Epoch:1, Snapshot:123; F1: 0.0000; Accuracy: 0.5130; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:18:38,831 INFO] Epoch:1, Snapshot: 0; Loss: 1.4961
+[2024-05-21 18:18:48,271 INFO] Epoch:1, Snapshot:37; F1: 0.1468; Accuracy: 0.4420; Precision: 0.5714; Recall: 0.0842; ROC AUC: 0.5002
+[2024-05-21 18:18:49,146 INFO] Epoch:1, Snapshot:38; F1: 0.1188; Accuracy: 0.4660; Precision: 0.5538; Recall: 0.0665; ROC AUC: 0.5017
+[2024-05-21 18:18:49,849 INFO] Epoch:1, Snapshot:39; F1: 0.1209; Accuracy: 0.5200; Precision: 0.4459; Recall: 0.0699; ROC AUC: 0.4961
+[2024-05-21 18:18:50,647 INFO] Epoch:1, Snapshot:40; F1: 0.1459; Accuracy: 0.4730; Precision: 0.4688; Recall: 0.0864; ROC AUC: 0.4900
+[2024-05-21 18:18:51,397 INFO] Epoch:1, Snapshot:41; F1: 0.1341; Accuracy: 0.5220; Precision: 0.4744; Recall: 0.0781; ROC AUC: 0.5001
+[2024-05-21 18:18:52,257 INFO] Epoch:1, Snapshot:42; F1: 0.1629; Accuracy: 0.5170; Precision: 0.5000; Recall: 0.0973; ROC AUC: 0.5032
+[2024-05-21 18:18:53,089 INFO] Epoch:1, Snapshot:43; F1: 0.1351; Accuracy: 0.5390; Precision: 0.4932; Recall: 0.0783; ROC AUC: 0.5049
+[2024-05-21 18:18:53,959 INFO] Epoch:1, Snapshot:44; F1: 0.1368; Accuracy: 0.4700; Precision: 0.5753; Recall: 0.0776; ROC AUC: 0.5050
+[2024-05-21 18:18:54,818 INFO] Epoch:1, Snapshot:45; F1: 0.1534; Accuracy: 0.4590; Precision: 0.4851; Recall: 0.0911; ROC AUC: 0.4893
+[2024-05-21 18:18:55,756 INFO] Epoch:1, Snapshot:46; F1: 0.1809; Accuracy: 0.5020; Precision: 0.5238; Recall: 0.1093; ROC AUC: 0.5044
+[2024-05-21 18:18:56,517 INFO] Epoch:1, Snapshot:47; F1: 0.1441; Accuracy: 0.5130; Precision: 0.4184; Recall: 0.0870; ROC AUC: 0.4896
+[2024-05-21 18:18:57,449 INFO] Epoch:1, Snapshot:48; F1: 0.1374; Accuracy: 0.5230; Precision: 0.4691; Recall: 0.0805; ROC AUC: 0.4995
+[2024-05-21 18:18:58,366 INFO] Epoch:1, Snapshot:49; F1: 0.1812; Accuracy: 0.4940; Precision: 0.5185; Recall: 0.1098; ROC AUC: 0.5018
+[2024-05-21 18:18:59,200 INFO] Epoch:1, Snapshot:50; F1: 0.1436; Accuracy: 0.5230; Precision: 0.4396; Recall: 0.0858; ROC AUC: 0.4952
+[2024-05-21 18:19:00,097 INFO] Epoch:1, Snapshot:51; F1: 0.1363; Accuracy: 0.4930; Precision: 0.4082; Recall: 0.0818; ROC AUC: 0.4841
+[2024-05-21 18:19:00,971 INFO] Epoch:1, Snapshot:52; F1: 0.1376; Accuracy: 0.4860; Precision: 0.5125; Recall: 0.0795; ROC AUC: 0.4994
+[2024-05-21 18:19:01,904 INFO] Epoch:1, Snapshot:53; F1: 0.1220; Accuracy: 0.4820; Precision: 0.4932; Recall: 0.0696; ROC AUC: 0.4965
+[2024-05-21 18:19:02,739 INFO] Epoch:1, Snapshot:54; F1: 0.1345; Accuracy: 0.5240; Precision: 0.4744; Recall: 0.0784; ROC AUC: 0.5004
+[2024-05-21 18:19:03,641 INFO] Epoch:1, Snapshot:55; F1: 0.1772; Accuracy: 0.4800; Precision: 0.5657; Recall: 0.1051; ROC AUC: 0.5065
+[2024-05-21 18:19:04,485 INFO] Epoch:1, Snapshot:56; F1: 0.1289; Accuracy: 0.4730; Precision: 0.4286; Recall: 0.0759; ROC AUC: 0.4844
+[2024-05-21 18:19:05,320 INFO] Epoch:1, Snapshot:57; F1: 0.1579; Accuracy: 0.4880; Precision: 0.5000; Recall: 0.0938; ROC AUC: 0.4977
+[2024-05-21 18:19:06,173 INFO] Epoch:1, Snapshot:58; F1: 0.1354; Accuracy: 0.5020; Precision: 0.4937; Recall: 0.0785; ROC AUC: 0.4995
+[2024-05-21 18:19:07,161 INFO] Epoch:1, Snapshot:59; F1: 0.1417; Accuracy: 0.4670; Precision: 0.5176; Recall: 0.0821; ROC AUC: 0.4969
+[2024-05-21 18:19:08,083 INFO] Epoch:1, Snapshot:60; F1: 0.1755; Accuracy: 0.5020; Precision: 0.5521; Recall: 0.1043; ROC AUC: 0.5085
+[2024-05-21 18:19:09,130 INFO] Epoch:1, Snapshot:61; F1: 0.1818; Accuracy: 0.5320; Precision: 0.5778; Recall: 0.1079; ROC AUC: 0.5173
+[2024-05-21 18:19:10,130 INFO] Epoch:1, Snapshot:62; F1: 0.1373; Accuracy: 0.5100; Precision: 0.4483; Recall: 0.0811; ROC AUC: 0.4943
+[2024-05-21 18:19:11,209 INFO] Epoch:1, Snapshot:63; F1: 0.1345; Accuracy: 0.4850; Precision: 0.4396; Recall: 0.0794; ROC AUC: 0.4883
+[2024-05-21 18:19:12,162 INFO] Epoch:1, Snapshot:64; F1: 0.1209; Accuracy: 0.5200; Precision: 0.4342; Recall: 0.0702; ROC AUC: 0.4945
+[2024-05-21 18:19:13,052 INFO] Epoch:1, Snapshot:65; F1: 0.1351; Accuracy: 0.5390; Precision: 0.5625; Recall: 0.0768; ROC AUC: 0.5120
+[2024-05-21 18:19:14,053 INFO] Epoch:1, Snapshot:66; F1: 0.1768; Accuracy: 0.4600; Precision: 0.6042; Recall: 0.1036; ROC AUC: 0.5086
+[2024-05-21 18:19:14,882 INFO] Epoch:1, Snapshot:67; F1: 0.1207; Accuracy: 0.4900; Precision: 0.4375; Recall: 0.0700; ROC AUC: 0.4900
+[2024-05-21 18:19:15,725 INFO] Epoch:1, Snapshot:68; F1: 0.1587; Accuracy: 0.5230; Precision: 0.5294; Recall: 0.0934; ROC AUC: 0.5081
+[2024-05-21 18:19:16,585 INFO] Epoch:1, Snapshot:69; F1: 0.1379; Accuracy: 0.5000; Precision: 0.4444; Recall: 0.0816; ROC AUC: 0.4918
+[2024-05-21 18:19:17,491 INFO] Epoch:1, Snapshot:70; F1: 0.1631; Accuracy: 0.4870; Precision: 0.5682; Recall: 0.0952; ROC AUC: 0.5076
+[2024-05-21 18:19:18,351 INFO] Epoch:1, Snapshot:71; F1: 0.1618; Accuracy: 0.5130; Precision: 0.5281; Recall: 0.0955; ROC AUC: 0.5064
+[2024-05-21 18:19:19,195 INFO] Epoch:1, Snapshot:72; F1: 0.1191; Accuracy: 0.5120; Precision: 0.3929; Recall: 0.0702; ROC AUC: 0.4870
+[2024-05-21 18:19:19,898 INFO] Epoch:1, Snapshot:73; F1: 0.1275; Accuracy: 0.5620; Precision: 0.4384; Recall: 0.0746; ROC AUC: 0.5014
+[2024-05-21 18:19:20,680 INFO] Epoch:1, Snapshot:74; F1: 0.1530; Accuracy: 0.5460; Precision: 0.4457; Recall: 0.0923; ROC AUC: 0.5003
+[2024-05-21 18:19:21,524 INFO] Epoch:1, Snapshot:75; F1: 0.1190; Accuracy: 0.5260; Precision: 0.4156; Recall: 0.0694; ROC AUC: 0.4930
+[2024-05-21 18:19:22,368 INFO] Epoch:1, Snapshot:76; F1: 0.1757; Accuracy: 0.5310; Precision: 0.5882; Recall: 0.1033; ROC AUC: 0.5177
+[2024-05-21 18:19:23,321 INFO] Epoch:1, Snapshot:77; F1: 0.1333; Accuracy: 0.4930; Precision: 0.4815; Recall: 0.0774; ROC AUC: 0.4964
+[2024-05-21 18:19:24,260 INFO] Epoch:1, Snapshot:78; F1: 0.1574; Accuracy: 0.4540; Precision: 0.4904; Recall: 0.0938; ROC AUC: 0.4888
+[2024-05-21 18:19:25,182 INFO] Epoch:1, Snapshot:79; F1: 0.1686; Accuracy: 0.4870; Precision: 0.5591; Recall: 0.0992; ROC AUC: 0.5066
+[2024-05-21 18:19:26,010 INFO] Epoch:1, Snapshot:80; F1: 0.1709; Accuracy: 0.5050; Precision: 0.5258; Recall: 0.1020; ROC AUC: 0.5050
+[2024-05-21 18:19:26,995 INFO] Epoch:1, Snapshot:81; F1: 0.1551; Accuracy: 0.4770; Precision: 0.4752; Recall: 0.0927; ROC AUC: 0.4914
+[2024-05-21 18:19:27,808 INFO] Epoch:1, Snapshot:82; F1: 0.1444; Accuracy: 0.5260; Precision: 0.4598; Recall: 0.0857; ROC AUC: 0.4987
+[2024-05-21 18:19:28,809 INFO] Epoch:1, Snapshot:83; F1: 0.1521; Accuracy: 0.4760; Precision: 0.5054; Recall: 0.0895; ROC AUC: 0.4963
+[2024-05-21 18:19:29,668 INFO] Epoch:1, Snapshot:84; F1: 0.1355; Accuracy: 0.4770; Precision: 0.4713; Recall: 0.0792; ROC AUC: 0.4919
+[2024-05-21 18:19:30,559 INFO] Epoch:1, Snapshot:85; F1: 0.1564; Accuracy: 0.4820; Precision: 0.5455; Recall: 0.0913; ROC AUC: 0.5034
+[2024-05-21 18:19:31,450 INFO] Epoch:1, Snapshot:86; F1: 0.1830; Accuracy: 0.5090; Precision: 0.5851; Recall: 0.1085; ROC AUC: 0.5147
+[2024-05-21 18:19:32,356 INFO] Epoch:1, Snapshot:87; F1: 0.1528; Accuracy: 0.5010; Precision: 0.4286; Recall: 0.0930; ROC AUC: 0.4883
+[2024-05-21 18:19:33,247 INFO] Epoch:1, Snapshot:88; F1: 0.1446; Accuracy: 0.5030; Precision: 0.4719; Recall: 0.0854; ROC AUC: 0.4964
+[2024-05-21 18:19:34,357 INFO] Epoch:1, Snapshot:89; F1: 0.1693; Accuracy: 0.4700; Precision: 0.5684; Recall: 0.0994; ROC AUC: 0.5049
+[2024-05-21 18:19:35,138 INFO] Epoch:1, Snapshot:90; F1: 0.1374; Accuracy: 0.5230; Precision: 0.5135; Recall: 0.0793; ROC AUC: 0.5051
+[2024-05-21 18:19:36,044 INFO] Epoch:1, Snapshot:91; F1: 0.1592; Accuracy: 0.4720; Precision: 0.5747; Recall: 0.0924; ROC AUC: 0.5059
+[2024-05-21 18:19:36,921 INFO] Epoch:1, Snapshot:92; F1: 0.1594; Accuracy: 0.5150; Precision: 0.4842; Recall: 0.0954; ROC AUC: 0.5004
+[2024-05-21 18:19:37,795 INFO] Epoch:1, Snapshot:93; F1: 0.1551; Accuracy: 0.4990; Precision: 0.5055; Recall: 0.0916; ROC AUC: 0.5006
+[2024-05-21 18:19:38,554 INFO] Epoch:1, Snapshot:94; F1: 0.1261; Accuracy: 0.5150; Precision: 0.5147; Recall: 0.0719; ROC AUC: 0.5038
+[2024-05-21 18:19:39,434 INFO] Epoch:1, Snapshot:95; F1: 0.1650; Accuracy: 0.4840; Precision: 0.5484; Recall: 0.0971; ROC AUC: 0.5044
+[2024-05-21 18:19:40,393 INFO] Epoch:1, Snapshot:96; F1: 0.1252; Accuracy: 0.4830; Precision: 0.3978; Recall: 0.0743; ROC AUC: 0.4814
+[2024-05-21 18:19:41,333 INFO] Epoch:1, Snapshot:97; F1: 0.1934; Accuracy: 0.4830; Precision: 0.5586; Recall: 0.1170; ROC AUC: 0.5064
+[2024-05-21 18:19:42,131 INFO] Epoch:1, Snapshot:98; F1: 0.1457; Accuracy: 0.4840; Precision: 0.4835; Recall: 0.0858; ROC AUC: 0.4946
+[2024-05-21 18:19:43,012 INFO] Epoch:1, Snapshot:99; F1: 0.1649; Accuracy: 0.5140; Precision: 0.5161; Recall: 0.0982; ROC AUC: 0.5050
+[2024-05-21 18:19:44,136 INFO] Epoch:1, Snapshot:100; F1: 0.1242; Accuracy: 0.4780; Precision: 0.4512; Recall: 0.0720; ROC AUC: 0.4897
+[2024-05-21 18:19:45,003 INFO] Epoch:1, Snapshot:101; F1: 0.1613; Accuracy: 0.5320; Precision: 0.5294; Recall: 0.0951; ROC AUC: 0.5096
+[2024-05-21 18:19:45,861 INFO] Epoch:1, Snapshot:102; F1: 0.1747; Accuracy: 0.5180; Precision: 0.5604; Recall: 0.1034; ROC AUC: 0.5123
+[2024-05-21 18:19:46,731 INFO] Epoch:1, Snapshot:103; F1: 0.1522; Accuracy: 0.5100; Precision: 0.4944; Recall: 0.0900; ROC AUC: 0.5010
+[2024-05-21 18:19:47,538 INFO] Epoch:1, Snapshot:104; F1: 0.1852; Accuracy: 0.5250; Precision: 0.5347; Recall: 0.1120; ROC AUC: 0.5106
+[2024-05-21 18:19:48,431 INFO] Epoch:1, Snapshot:105; F1: 0.1267; Accuracy: 0.5450; Precision: 0.4231; Recall: 0.0745; ROC AUC: 0.4969
+[2024-05-21 18:19:49,415 INFO] Epoch:1, Snapshot:106; F1: 0.1774; Accuracy: 0.5640; Precision: 0.4653; Recall: 0.1096; ROC AUC: 0.5075
+[2024-05-21 18:19:50,354 INFO] Epoch:1, Snapshot:107; F1: 0.1900; Accuracy: 0.5310; Precision: 0.5612; Recall: 0.1143; ROC AUC: 0.5157
+[2024-05-21 18:19:51,425 INFO] Epoch:1, Snapshot:108; F1: 0.1664; Accuracy: 0.4990; Precision: 0.5556; Recall: 0.0978; ROC AUC: 0.5080
+[2024-05-21 18:19:52,422 INFO] Epoch:1, Snapshot:109; F1: 0.1653; Accuracy: 0.5050; Precision: 0.4949; Recall: 0.0992; ROC AUC: 0.5002
+[2024-05-21 18:19:53,324 INFO] Epoch:1, Snapshot:110; F1: 0.1630; Accuracy: 0.5070; Precision: 0.5393; Recall: 0.0960; ROC AUC: 0.5070
+[2024-05-21 18:19:54,204 INFO] Epoch:1, Snapshot:111; F1: 0.1340; Accuracy: 0.5090; Precision: 0.4000; Recall: 0.0805; ROC AUC: 0.4863
+[2024-05-21 18:19:55,317 INFO] Epoch:1, Snapshot:112; F1: 0.1340; Accuracy: 0.4960; Precision: 0.5000; Recall: 0.0774; ROC AUC: 0.4994
+[2024-05-21 18:19:56,220 INFO] Epoch:1, Snapshot:113; F1: 0.1419; Accuracy: 0.5040; Precision: 0.4556; Recall: 0.0840; ROC AUC: 0.4942
+[2024-05-21 18:19:57,345 INFO] Epoch:1, Snapshot:114; F1: 0.1650; Accuracy: 0.4840; Precision: 0.5604; Recall: 0.0968; ROC AUC: 0.5061
+[2024-05-21 18:19:58,407 INFO] Epoch:1, Snapshot:115; F1: 0.1408; Accuracy: 0.5120; Precision: 0.4301; Recall: 0.0842; ROC AUC: 0.4916
+[2024-05-21 18:19:59,422 INFO] Epoch:1, Snapshot:116; F1: 0.1431; Accuracy: 0.4970; Precision: 0.4468; Recall: 0.0852; ROC AUC: 0.4913
+[2024-05-21 18:20:00,437 INFO] Epoch:1, Snapshot:117; F1: 0.1538; Accuracy: 0.5160; Precision: 0.4583; Recall: 0.0924; ROC AUC: 0.4966
+[2024-05-21 18:20:01,452 INFO] Epoch:1, Snapshot:118; F1: 0.1533; Accuracy: 0.4810; Precision: 0.5165; Recall: 0.0900; ROC AUC: 0.4990
+[2024-05-21 18:20:02,469 INFO] Epoch:1, Snapshot:119; F1: 0.1263; Accuracy: 0.5020; Precision: 0.4500; Recall: 0.0735; ROC AUC: 0.4936
+[2024-05-21 18:20:03,468 INFO] Epoch:1, Snapshot:120; F1: 0.1411; Accuracy: 0.5010; Precision: 0.4227; Recall: 0.0847; ROC AUC: 0.4881
+[2024-05-21 18:20:04,394 INFO] Epoch:1, Snapshot:121; F1: 0.1220; Accuracy: 0.4960; Precision: 0.4545; Recall: 0.0704; ROC AUC: 0.4935
+[2024-05-21 18:20:05,328 INFO] Epoch:1, Snapshot:122; F1: 0.1524; Accuracy: 0.4660; Precision: 0.5217; Recall: 0.0892; ROC AUC: 0.4970
+[2024-05-21 18:20:06,318 INFO] Epoch:1, Snapshot:123; F1: 0.1407; Accuracy: 0.4990; Precision: 0.4271; Recall: 0.0842; ROC AUC: 0.4885
+[2024-05-21 18:20:06,333 INFO] Epoch:1, Snapshot: 1; Loss: 6.9070
+[2024-05-21 18:20:16,642 INFO] Epoch:1, Snapshot:37; F1: 0.0000; Accuracy: 0.4300; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:17,487 INFO] Epoch:1, Snapshot:38; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:18,285 INFO] Epoch:1, Snapshot:39; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:19,088 INFO] Epoch:1, Snapshot:40; F1: 0.0000; Accuracy: 0.4790; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:19,827 INFO] Epoch:1, Snapshot:41; F1: 0.0000; Accuracy: 0.5260; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:20,641 INFO] Epoch:1, Snapshot:42; F1: 0.0000; Accuracy: 0.5170; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:21,454 INFO] Epoch:1, Snapshot:43; F1: 0.0000; Accuracy: 0.5400; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:22,317 INFO] Epoch:1, Snapshot:44; F1: 0.0000; Accuracy: 0.4590; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:23,184 INFO] Epoch:1, Snapshot:45; F1: 0.0000; Accuracy: 0.4620; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:24,072 INFO] Epoch:1, Snapshot:46; F1: 0.0000; Accuracy: 0.4970; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:24,813 INFO] Epoch:1, Snapshot:47; F1: 0.0000; Accuracy: 0.5290; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:25,735 INFO] Epoch:1, Snapshot:48; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:26,629 INFO] Epoch:1, Snapshot:49; F1: 0.0000; Accuracy: 0.4900; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:27,477 INFO] Epoch:1, Snapshot:50; F1: 0.0000; Accuracy: 0.5340; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:28,357 INFO] Epoch:1, Snapshot:51; F1: 0.0000; Accuracy: 0.5110; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:29,297 INFO] Epoch:1, Snapshot:52; F1: 0.0000; Accuracy: 0.4840; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:30,275 INFO] Epoch:1, Snapshot:53; F1: 0.0000; Accuracy: 0.4830; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:31,171 INFO] Epoch:1, Snapshot:54; F1: 0.0000; Accuracy: 0.5280; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:32,078 INFO] Epoch:1, Snapshot:55; F1: 0.0000; Accuracy: 0.4670; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:32,939 INFO] Epoch:1, Snapshot:56; F1: 0.0000; Accuracy: 0.4860; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:33,786 INFO] Epoch:1, Snapshot:57; F1: 0.0000; Accuracy: 0.4880; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:20:34,637 INFO] Epoch:1, Snapshot:58; F1: 0.0000; Accuracy: 0.5030; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:21:09,377 INFO] fixed random seed
+[2024-05-21 18:21:12,799 INFO] Epoch:1, Snapshot: 0; Loss: 1.7143
+[2024-05-21 18:21:17,127 INFO] Epoch:1, Snapshot: 1; Loss: 7.9960
+[2024-05-21 18:21:23,067 INFO] Epoch:1, Snapshot: 2; Loss: 23.2034
+[2024-05-21 18:21:28,370 INFO] Epoch:1, Snapshot: 3; Loss: 12.4445
+[2024-05-21 18:21:32,576 INFO] Epoch:1, Snapshot: 4; Loss: 2.2525
+[2024-05-21 18:21:42,737 INFO] Epoch:1, Snapshot: 5; Loss: 1.1237
+[2024-05-21 18:21:49,769 INFO] Epoch:1, Snapshot: 6; Loss: 1.0249
+[2024-05-21 18:21:57,225 INFO] Epoch:1, Snapshot: 7; Loss: 0.9882
+[2024-05-21 18:22:05,363 INFO] Epoch:1, Snapshot: 8; Loss: 0.9359
+[2024-05-21 18:22:10,220 INFO] Epoch:1, Snapshot: 9; Loss: 0.9305
+[2024-05-21 18:22:17,282 INFO] Epoch:1, Snapshot: 10; Loss: 1.0901
+[2024-05-21 18:22:20,760 INFO] Epoch:1, Snapshot: 11; Loss: 1.2630
+[2024-05-21 18:22:26,991 INFO] Epoch:1, Snapshot: 12; Loss: 1.0357
+[2024-05-21 18:22:31,715 INFO] Epoch:1, Snapshot: 13; Loss: 1.2879
+[2024-05-21 18:22:41,700 INFO] Epoch:1, Snapshot: 14; Loss: 1.3454
+[2024-05-21 18:22:50,801 INFO] Epoch:1, Snapshot: 15; Loss: 1.0390
+[2024-05-21 18:22:59,086 INFO] Epoch:1, Snapshot: 16; Loss: 1.5030
+[2024-05-21 18:23:04,683 INFO] Epoch:1, Snapshot: 17; Loss: 1.3351
+[2024-05-21 18:23:10,388 INFO] Epoch:1, Snapshot: 18; Loss: 1.2628
+[2024-05-21 18:23:18,837 INFO] Epoch:1, Snapshot: 19; Loss: 0.9386
+[2024-05-21 18:23:26,684 INFO] Epoch:1, Snapshot: 20; Loss: 0.8134
+[2024-05-21 18:23:36,267 INFO] Epoch:1, Snapshot: 21; Loss: 0.8158
+[2024-05-21 18:23:39,920 INFO] Epoch:1, Snapshot: 22; Loss: 0.7658
+[2024-05-21 18:23:47,395 INFO] Epoch:1, Snapshot: 23; Loss: 0.8042
+[2024-05-21 18:23:53,415 INFO] Epoch:1, Snapshot: 24; Loss: 0.7845
+[2024-05-21 18:24:03,103 INFO] Epoch:1, Snapshot: 25; Loss: 0.8158
+[2024-05-21 18:24:08,607 INFO] Epoch:1, Snapshot: 26; Loss: 0.7802
+[2024-05-21 18:24:16,870 INFO] Epoch:1, Snapshot: 27; Loss: 0.7605
+[2024-05-21 18:24:25,104 INFO] Epoch:1, Snapshot: 28; Loss: 0.7876
+[2024-05-21 18:24:31,647 INFO] Epoch:1, Snapshot: 29; Loss: 0.7681
+[2024-05-21 18:24:40,671 INFO] Epoch:1, Snapshot: 30; Loss: 0.7654
+[2024-05-21 18:24:47,177 INFO] Epoch:1, Snapshot: 31; Loss: 0.7543
+[2024-05-21 18:24:56,221 INFO] Epoch:1, Snapshot: 32; Loss: 0.7149
+[2024-05-21 18:25:03,464 INFO] Epoch:1, Snapshot: 33; Loss: 0.7317
+[2024-05-21 18:25:12,505 INFO] Epoch:1, Snapshot: 34; Loss: 0.7044
+[2024-05-21 18:25:23,108 INFO] Epoch:1, Snapshot: 35; Loss: 0.7038
+[2024-05-21 18:25:29,095 INFO] Epoch:1, Snapshot: 36; Loss: 0.7163
+[2024-05-21 18:25:34,708 INFO] Epoch:1, Snapshot: 37; Loss: 0.7220
+[2024-05-21 18:25:41,385 INFO] Epoch:1, Snapshot: 38; Loss: 0.7112
+[2024-05-21 18:25:50,428 INFO] Epoch:1, Snapshot: 39; Loss: 0.6970
+[2024-05-21 18:25:56,231 INFO] Epoch:1, Snapshot: 40; Loss: 0.7088
+[2024-05-21 18:26:04,535 INFO] Epoch:1, Snapshot: 41; Loss: 0.6993
+[2024-05-21 18:26:12,977 INFO] Epoch:1, Snapshot: 42; Loss: 0.7030
+[2024-05-21 18:26:22,413 INFO] Epoch:1, Snapshot: 43; Loss: 0.6978
+[2024-05-21 18:26:32,850 INFO] Epoch:1, Snapshot: 44; Loss: 0.7101
+[2024-05-21 18:26:41,305 INFO] Epoch:1, Snapshot: 45; Loss: 0.7078
+[2024-05-21 18:26:50,493 INFO] Epoch:1, Snapshot: 46; Loss: 0.7051
+[2024-05-21 18:27:00,181 INFO] Epoch:1, Snapshot: 47; Loss: 0.6976
+[2024-05-21 18:27:08,664 INFO] Epoch:1, Snapshot: 48; Loss: 0.6931
+[2024-05-21 18:27:17,432 INFO] Epoch:1, Snapshot: 49; Loss: 0.7050
+[2024-05-21 18:27:25,252 INFO] Epoch:1, Snapshot: 50; Loss: 0.6950
+[2024-05-21 18:27:34,306 INFO] Epoch:1, Snapshot: 51; Loss: 0.6985
+[2024-05-21 18:27:43,711 INFO] Epoch:1, Snapshot: 52; Loss: 0.7022
+[2024-05-21 18:27:53,216 INFO] Epoch:1, Snapshot: 53; Loss: 0.7028
+[2024-05-21 18:28:01,861 INFO] Epoch:1, Snapshot: 54; Loss: 0.6940
+[2024-05-21 18:28:12,567 INFO] Epoch:1, Snapshot: 55; Loss: 0.7082
+[2024-05-21 18:28:20,912 INFO] Epoch:1, Snapshot: 56; Loss: 0.7018
+[2024-05-21 18:28:29,430 INFO] Epoch:1, Snapshot: 57; Loss: 0.7010
+[2024-05-21 18:28:39,714 INFO] Epoch:1, Snapshot: 58; Loss: 0.6986
+[2024-05-21 18:28:47,904 INFO] Epoch:1, Snapshot: 59; Loss: 0.7079
+[2024-05-21 18:28:57,957 INFO] Epoch:1, Snapshot: 60; Loss: 0.7001
+[2024-05-21 18:29:06,679 INFO] Epoch:1, Snapshot: 61; Loss: 0.6972
+[2024-05-21 18:29:15,840 INFO] Epoch:1, Snapshot: 62; Loss: 0.6957
+[2024-05-21 18:29:26,001 INFO] Epoch:1, Snapshot: 63; Loss: 0.6994
+[2024-05-21 18:29:34,644 INFO] Epoch:1, Snapshot: 64; Loss: 0.6935
+[2024-05-21 18:29:43,241 INFO] Epoch:1, Snapshot: 65; Loss: 0.6937
+[2024-05-21 18:29:53,824 INFO] Epoch:1, Snapshot: 66; Loss: 0.7114
+[2024-05-21 18:30:01,688 INFO] Epoch:1, Snapshot: 67; Loss: 0.7002
+[2024-05-21 18:30:10,738 INFO] Epoch:1, Snapshot: 68; Loss: 0.6963
+[2024-05-21 18:30:19,428 INFO] Epoch:1, Snapshot: 69; Loss: 0.6984
+[2024-05-21 18:30:28,239 INFO] Epoch:1, Snapshot: 70; Loss: 0.7030
+[2024-05-21 18:30:38,294 INFO] Epoch:1, Snapshot: 71; Loss: 0.6964
+[2024-05-21 18:30:46,861 INFO] Epoch:1, Snapshot: 72; Loss: 0.6939
+[2024-05-21 18:30:55,951 INFO] Epoch:1, Snapshot: 73; Loss: 0.6835
+[2024-05-21 18:31:04,547 INFO] Epoch:1, Snapshot: 74; Loss: 0.6890
+[2024-05-21 18:31:13,159 INFO] Epoch:1, Snapshot: 75; Loss: 0.6899
+[2024-05-21 18:31:22,474 INFO] Epoch:1, Snapshot: 76; Loss: 0.6962
+[2024-05-21 18:31:31,430 INFO] Epoch:1, Snapshot: 77; Loss: 0.6996
+[2024-05-21 18:31:41,668 INFO] Epoch:1, Snapshot: 78; Loss: 0.7078
+[2024-05-21 18:31:50,796 INFO] Epoch:1, Snapshot: 79; Loss: 0.7028
+[2024-05-21 18:31:59,690 INFO] Epoch:1, Snapshot: 80; Loss: 0.6996
+[2024-05-21 18:32:10,068 INFO] Epoch:1, Snapshot: 81; Loss: 0.7015
+[2024-05-21 18:32:18,602 INFO] Epoch:1, Snapshot: 82; Loss: 0.6933
+[2024-05-21 18:32:27,668 INFO] Epoch:1, Snapshot: 83; Loss: 0.7064
+[2024-05-21 18:32:37,452 INFO] Epoch:1, Snapshot: 84; Loss: 0.7035
+[2024-05-21 18:32:45,940 INFO] Epoch:1, Snapshot: 85; Loss: 0.7037
+[2024-05-21 18:32:56,556 INFO] Epoch:1, Snapshot: 86; Loss: 0.7007
+[2024-05-21 18:34:16,305 INFO] ==========================================================================================
+[2024-05-21 18:34:16,305 INFO] Epoch:1, Loss: 1.2957, Time: 786.928, GPU: 294.2MiB
+[2024-05-21 18:34:16,305 INFO] Epoch:1, F1: 0.0000; Accuracy: 0.5021; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:34:24,637 INFO] Epoch:2, Snapshot: 0; Loss: 0.8750
+[2024-05-21 18:34:34,125 INFO] Epoch:2, Snapshot: 1; Loss: 0.7054
+[2024-05-21 18:34:44,034 INFO] Epoch:2, Snapshot: 2; Loss: 0.7014
+[2024-05-21 18:34:52,523 INFO] Epoch:2, Snapshot: 3; Loss: 0.6909
+[2024-05-21 18:35:02,837 INFO] Epoch:2, Snapshot: 4; Loss: 0.6942
+[2024-05-21 18:35:10,910 INFO] Epoch:2, Snapshot: 5; Loss: 0.7000
+[2024-05-21 18:35:19,968 INFO] Epoch:2, Snapshot: 6; Loss: 0.6984
+[2024-05-21 18:35:30,476 INFO] Epoch:2, Snapshot: 7; Loss: 0.7033
+[2024-05-21 18:35:38,304 INFO] Epoch:2, Snapshot: 8; Loss: 0.6948
+[2024-05-21 18:35:48,405 INFO] Epoch:2, Snapshot: 9; Loss: 0.7042
+[2024-05-21 18:35:57,277 INFO] Epoch:2, Snapshot: 10; Loss: 0.6886
+[2024-05-21 18:36:05,904 INFO] Epoch:2, Snapshot: 11; Loss: 0.7088
+[2024-05-21 18:36:15,672 INFO] Epoch:2, Snapshot: 12; Loss: 0.7041
+[2024-05-21 18:36:23,660 INFO] Epoch:2, Snapshot: 13; Loss: 0.7050
+[2024-05-21 18:36:33,898 INFO] Epoch:2, Snapshot: 14; Loss: 0.6938
+[2024-05-21 18:36:42,373 INFO] Epoch:2, Snapshot: 15; Loss: 0.7108
+[2024-05-21 18:36:50,824 INFO] Epoch:2, Snapshot: 16; Loss: 0.6895
+[2024-05-21 18:36:59,390 INFO] Epoch:2, Snapshot: 17; Loss: 0.6942
+[2024-05-21 18:37:07,425 INFO] Epoch:2, Snapshot: 18; Loss: 0.6943
+[2024-05-21 18:37:16,130 INFO] Epoch:2, Snapshot: 19; Loss: 0.6950
+[2024-05-21 18:37:26,290 INFO] Epoch:2, Snapshot: 20; Loss: 0.6857
+[2024-05-21 18:37:34,683 INFO] Epoch:2, Snapshot: 21; Loss: 0.7030
+[2024-05-21 18:37:43,827 INFO] Epoch:2, Snapshot: 22; Loss: 0.6822
+[2024-05-21 18:37:52,486 INFO] Epoch:2, Snapshot: 23; Loss: 0.6886
+[2024-05-21 18:38:01,614 INFO] Epoch:2, Snapshot: 24; Loss: 0.6987
+[2024-05-21 18:38:12,195 INFO] Epoch:2, Snapshot: 25; Loss: 0.6911
+[2024-05-21 18:38:19,822 INFO] Epoch:2, Snapshot: 26; Loss: 0.7005
+[2024-05-21 18:38:29,779 INFO] Epoch:2, Snapshot: 27; Loss: 0.7058
+[2024-05-21 18:38:38,156 INFO] Epoch:2, Snapshot: 28; Loss: 0.6973
+[2024-05-21 18:38:47,065 INFO] Epoch:2, Snapshot: 29; Loss: 0.6897
+[2024-05-21 18:38:56,147 INFO] Epoch:2, Snapshot: 30; Loss: 0.6981
+[2024-05-21 18:39:04,884 INFO] Epoch:2, Snapshot: 31; Loss: 0.7017
+[2024-05-21 18:39:14,540 INFO] Epoch:2, Snapshot: 32; Loss: 0.6896
+[2024-05-21 18:39:23,122 INFO] Epoch:2, Snapshot: 33; Loss: 0.7075
+[2024-05-21 18:39:32,673 INFO] Epoch:2, Snapshot: 34; Loss: 0.6959
+[2024-05-21 18:39:41,509 INFO] Epoch:2, Snapshot: 35; Loss: 0.6980
+[2024-05-21 18:39:50,289 INFO] Epoch:2, Snapshot: 36; Loss: 0.7092
+[2024-05-21 18:40:00,479 INFO] Epoch:2, Snapshot: 37; Loss: 0.7118
+[2024-05-21 18:40:09,185 INFO] Epoch:2, Snapshot: 38; Loss: 0.7084
+[2024-05-21 18:40:17,560 INFO] Epoch:2, Snapshot: 39; Loss: 0.6922
+[2024-05-21 18:40:27,876 INFO] Epoch:2, Snapshot: 40; Loss: 0.7012
+[2024-05-21 18:40:36,098 INFO] Epoch:2, Snapshot: 41; Loss: 0.6932
+[2024-05-21 18:40:46,610 INFO] Epoch:2, Snapshot: 42; Loss: 0.6954
+[2024-05-21 18:40:54,230 INFO] Epoch:2, Snapshot: 43; Loss: 0.6898
+[2024-05-21 18:41:02,759 INFO] Epoch:2, Snapshot: 44; Loss: 0.7064
+[2024-05-21 18:41:11,233 INFO] Epoch:2, Snapshot: 45; Loss: 0.7039
+[2024-05-21 18:41:18,609 INFO] Epoch:2, Snapshot: 46; Loss: 0.6981
+[2024-05-21 18:41:26,861 INFO] Epoch:2, Snapshot: 47; Loss: 0.6928
+[2024-05-21 18:41:35,856 INFO] Epoch:2, Snapshot: 48; Loss: 0.6921
+[2024-05-21 18:41:42,878 INFO] Epoch:2, Snapshot: 49; Loss: 0.7012
+[2024-05-21 18:41:51,442 INFO] Epoch:2, Snapshot: 50; Loss: 0.6910
+[2024-05-21 18:41:59,755 INFO] Epoch:2, Snapshot: 51; Loss: 0.6967
+[2024-05-21 18:42:07,724 INFO] Epoch:2, Snapshot: 52; Loss: 0.7020
+[2024-05-21 18:42:16,744 INFO] Epoch:2, Snapshot: 53; Loss: 0.7014
+[2024-05-21 18:42:24,147 INFO] Epoch:2, Snapshot: 54; Loss: 0.6911
+[2024-05-21 18:42:33,481 INFO] Epoch:2, Snapshot: 55; Loss: 0.7049
+[2024-05-21 18:42:43,787 INFO] Epoch:2, Snapshot: 56; Loss: 0.6994
+[2024-05-21 18:42:51,550 INFO] Epoch:2, Snapshot: 57; Loss: 0.7013
+[2024-05-21 18:43:02,328 INFO] Epoch:2, Snapshot: 58; Loss: 0.6985
+[2024-05-21 18:43:10,281 INFO] Epoch:2, Snapshot: 59; Loss: 0.7068
+[2024-05-21 18:43:20,148 INFO] Epoch:2, Snapshot: 60; Loss: 0.7000
+[2024-05-21 18:43:30,046 INFO] Epoch:2, Snapshot: 61; Loss: 0.6952
+[2024-05-21 18:43:38,483 INFO] Epoch:2, Snapshot: 62; Loss: 0.6952
+[2024-05-21 18:43:49,041 INFO] Epoch:2, Snapshot: 63; Loss: 0.6995
+[2024-05-21 18:43:58,448 INFO] Epoch:2, Snapshot: 64; Loss: 0.6926
+[2024-05-21 18:44:07,146 INFO] Epoch:2, Snapshot: 65; Loss: 0.6913
+[2024-05-21 18:44:17,379 INFO] Epoch:2, Snapshot: 66; Loss: 0.7106
+[2024-05-21 18:44:27,163 INFO] Epoch:2, Snapshot: 67; Loss: 0.6986
+[2024-05-21 18:44:36,617 INFO] Epoch:2, Snapshot: 68; Loss: 0.6966
+[2024-05-21 18:44:47,161 INFO] Epoch:2, Snapshot: 69; Loss: 0.6967
+[2024-05-21 18:44:55,431 INFO] Epoch:2, Snapshot: 70; Loss: 0.7041
+[2024-05-21 18:45:04,764 INFO] Epoch:2, Snapshot: 71; Loss: 0.6979
+[2024-05-21 18:45:14,847 INFO] Epoch:2, Snapshot: 72; Loss: 0.6936
+[2024-05-21 18:45:23,510 INFO] Epoch:2, Snapshot: 73; Loss: 0.6860
+[2024-05-21 18:45:30,102 INFO] Epoch:2, Snapshot: 74; Loss: 0.6869
+[2024-05-21 18:45:38,840 INFO] Epoch:2, Snapshot: 75; Loss: 0.6907
+[2024-05-21 18:45:48,239 INFO] Epoch:2, Snapshot: 76; Loss: 0.6959
+[2024-05-21 18:45:58,162 INFO] Epoch:2, Snapshot: 77; Loss: 0.6966
+[2024-05-21 18:46:06,946 INFO] Epoch:2, Snapshot: 78; Loss: 0.7075
+[2024-05-21 18:46:14,869 INFO] Epoch:2, Snapshot: 79; Loss: 0.7036
+[2024-05-21 18:46:22,397 INFO] Epoch:2, Snapshot: 80; Loss: 0.6990
+[2024-05-21 18:46:32,408 INFO] Epoch:2, Snapshot: 81; Loss: 0.7019
+[2024-05-21 18:46:41,762 INFO] Epoch:2, Snapshot: 82; Loss: 0.6921
+[2024-05-21 18:46:50,633 INFO] Epoch:2, Snapshot: 83; Loss: 0.7037
+[2024-05-21 18:46:59,040 INFO] Epoch:2, Snapshot: 84; Loss: 0.7022
+[2024-05-21 18:47:04,965 INFO] Epoch:2, Snapshot: 85; Loss: 0.7028
+[2024-05-21 18:47:10,888 INFO] Epoch:2, Snapshot: 86; Loss: 0.6977
+[2024-05-21 18:48:30,810 INFO] ==========================================================================================
+[2024-05-21 18:48:30,810 INFO] Epoch:2, Loss: 0.7001, Time: 854.505, GPU: 295.2MiB
+[2024-05-21 18:48:30,810 INFO] Epoch:2, F1: 0.0000; Accuracy: 0.5021; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-05-21 18:48:40,535 INFO] fixed random seed
+[2024-05-21 18:48:44,497 INFO] Epoch:1, Snapshot: 0; Loss: 2.0322
+[2024-05-21 18:48:51,478 INFO] Epoch:1, Snapshot: 1; Loss: 1.8609
+[2024-05-21 18:48:58,997 INFO] Epoch:1, Snapshot: 2; Loss: 1.2254
+[2024-05-21 18:49:03,863 INFO] Epoch:1, Snapshot: 3; Loss: 0.8987
+[2024-05-21 18:49:10,006 INFO] Epoch:1, Snapshot: 4; Loss: 0.7731
+[2024-05-21 18:49:18,744 INFO] Epoch:1, Snapshot: 5; Loss: 0.7964
+[2024-05-21 19:26:43,077 INFO] fixed random seed
+[2024-05-21 19:26:47,386 INFO] Epoch:1, Snapshot: 0; Loss: 2.8730
+[2024-05-21 19:26:54,452 INFO] Epoch:1, Snapshot: 1; Loss: 1.9000
+[2024-05-21 19:27:00,509 INFO] Epoch:1, Snapshot: 2; Loss: 0.9933
+[2024-05-21 19:27:07,109 INFO] Epoch:1, Snapshot: 3; Loss: 0.7831
+[2024-05-21 19:27:12,155 INFO] Epoch:1, Snapshot: 4; Loss: 0.7944
+[2024-05-21 19:27:17,081 INFO] Epoch:1, Snapshot: 5; Loss: 0.7510
+[2024-05-21 19:27:26,397 INFO] Epoch:1, Snapshot: 6; Loss: 0.8032
+[2024-05-21 19:27:33,433 INFO] Epoch:1, Snapshot: 7; Loss: 0.7757
+[2024-05-21 19:27:42,754 INFO] Epoch:1, Snapshot: 8; Loss: 0.7798
+[2024-05-21 19:27:52,307 INFO] Epoch:1, Snapshot: 9; Loss: 0.7609
+[2024-05-21 19:27:58,906 INFO] Epoch:1, Snapshot: 10; Loss: 0.7463
+[2024-05-21 19:28:08,541 INFO] Epoch:1, Snapshot: 11; Loss: 0.7233
+[2024-05-21 19:28:17,295 INFO] Epoch:1, Snapshot: 12; Loss: 0.7267
+[2024-05-21 19:28:26,034 INFO] Epoch:1, Snapshot: 13; Loss: 0.7170
+[2024-05-21 19:28:32,067 INFO] Epoch:1, Snapshot: 14; Loss: 0.7228
+[2024-05-21 19:28:38,543 INFO] Epoch:1, Snapshot: 15; Loss: 0.7243
+[2024-05-21 19:28:43,469 INFO] Epoch:1, Snapshot: 16; Loss: 0.7275
+[2024-05-21 19:28:50,115 INFO] Epoch:1, Snapshot: 17; Loss: 0.7398
+[2024-05-21 19:28:57,573 INFO] Epoch:1, Snapshot: 18; Loss: 0.7302
+[2024-05-21 19:29:05,575 INFO] Epoch:1, Snapshot: 19; Loss: 0.7261
+[2024-05-21 19:29:14,548 INFO] Epoch:1, Snapshot: 20; Loss: 0.7222
+[2024-05-21 19:29:23,646 INFO] Epoch:1, Snapshot: 21; Loss: 0.7238
+[2024-05-21 19:29:30,761 INFO] Epoch:1, Snapshot: 22; Loss: 0.7309
+[2024-05-21 19:29:40,398 INFO] Epoch:1, Snapshot: 23; Loss: 0.7041
+[2024-05-21 19:29:48,527 INFO] Epoch:1, Snapshot: 24; Loss: 0.7007
+[2024-05-21 19:29:56,912 INFO] Epoch:1, Snapshot: 25; Loss: 0.7047
+[2024-05-21 19:30:06,371 INFO] Epoch:1, Snapshot: 26; Loss: 0.7044
+[2024-05-21 19:30:14,346 INFO] Epoch:1, Snapshot: 27; Loss: 0.6989
+[2024-05-21 19:30:22,809 INFO] Epoch:1, Snapshot: 28; Loss: 0.7059
+[2024-05-21 19:30:31,518 INFO] Epoch:1, Snapshot: 29; Loss: 0.7119
+[2024-05-21 19:30:37,692 INFO] Epoch:1, Snapshot: 30; Loss: 0.7030
+[2024-05-21 19:30:44,395 INFO] Epoch:1, Snapshot: 31; Loss: 0.6989
+[2024-05-21 19:30:51,962 INFO] Epoch:1, Snapshot: 32; Loss: 0.7033
+[2024-05-21 19:31:01,157 INFO] Epoch:1, Snapshot: 33; Loss: 0.7000
+[2024-05-21 19:31:10,066 INFO] Epoch:1, Snapshot: 34; Loss: 0.6988
+[2024-05-21 19:31:16,747 INFO] Epoch:1, Snapshot: 35; Loss: 0.6971
+[2024-05-21 19:31:26,346 INFO] Epoch:1, Snapshot: 36; Loss: 0.6965
+[2024-05-21 19:31:34,665 INFO] Epoch:1, Snapshot: 37; Loss: 0.6965
+[2024-05-21 19:31:44,047 INFO] Epoch:1, Snapshot: 38; Loss: 0.6945
+[2024-05-21 19:31:53,913 INFO] Epoch:1, Snapshot: 39; Loss: 0.6991
+[2024-05-21 19:32:00,799 INFO] Epoch:1, Snapshot: 40; Loss: 0.6950
+[2024-05-21 19:32:07,192 INFO] Epoch:1, Snapshot: 41; Loss: 0.6986
+[2024-05-21 19:32:13,309 INFO] Epoch:1, Snapshot: 42; Loss: 0.6984
+[2024-05-21 19:32:19,032 INFO] Epoch:1, Snapshot: 43; Loss: 0.6997
+[2024-05-21 19:32:24,282 INFO] Epoch:1, Snapshot: 44; Loss: 0.6941
+[2024-05-21 19:32:31,668 INFO] Epoch:1, Snapshot: 45; Loss: 0.6937
+[2024-05-21 19:32:40,739 INFO] Epoch:1, Snapshot: 46; Loss: 0.6967
+[2024-05-21 19:32:50,361 INFO] Epoch:1, Snapshot: 47; Loss: 0.6976
+[2024-05-21 19:32:59,841 INFO] Epoch:1, Snapshot: 48; Loss: 0.6958
+[2024-05-21 19:33:05,997 INFO] Epoch:1, Snapshot: 49; Loss: 0.6961
+[2024-05-21 19:33:11,795 INFO] Epoch:1, Snapshot: 50; Loss: 0.6983
+[2024-05-21 19:33:17,656 INFO] Epoch:1, Snapshot: 51; Loss: 0.6987
+[2024-05-21 19:33:23,768 INFO] Epoch:1, Snapshot: 52; Loss: 0.6966
+[2024-05-21 19:33:29,802 INFO] Epoch:1, Snapshot: 53; Loss: 0.6947
+[2024-05-21 19:33:35,492 INFO] Epoch:1, Snapshot: 54; Loss: 0.6973
+[2024-05-21 19:33:41,531 INFO] Epoch:1, Snapshot: 55; Loss: 0.6917
+[2024-05-21 19:33:47,362 INFO] Epoch:1, Snapshot: 56; Loss: 0.6950
+[2024-05-21 19:33:53,239 INFO] Epoch:1, Snapshot: 57; Loss: 0.6942
+[2024-05-21 19:33:59,036 INFO] Epoch:1, Snapshot: 58; Loss: 0.6946
+[2024-05-21 19:34:05,037 INFO] Epoch:1, Snapshot: 59; Loss: 0.6934
+[2024-05-21 19:34:11,157 INFO] Epoch:1, Snapshot: 60; Loss: 0.6946
+[2024-05-21 19:34:17,424 INFO] Epoch:1, Snapshot: 61; Loss: 0.6969
+[2024-05-21 19:34:23,927 INFO] Epoch:1, Snapshot: 62; Loss: 0.6983
+[2024-05-21 19:34:29,930 INFO] Epoch:1, Snapshot: 63; Loss: 0.6941
+[2024-05-21 19:34:36,073 INFO] Epoch:1, Snapshot: 64; Loss: 0.6953
+[2024-05-21 19:34:42,169 INFO] Epoch:1, Snapshot: 65; Loss: 0.6990
+[2024-05-21 19:34:47,734 INFO] Epoch:1, Snapshot: 66; Loss: 0.6920
+[2024-05-21 19:34:53,530 INFO] Epoch:1, Snapshot: 67; Loss: 0.6962
+[2024-05-21 19:34:59,376 INFO] Epoch:1, Snapshot: 68; Loss: 0.6959
+[2024-05-21 19:35:05,048 INFO] Epoch:1, Snapshot: 69; Loss: 0.6954
+[2024-05-21 19:35:11,233 INFO] Epoch:1, Snapshot: 70; Loss: 0.6939
+[2024-05-21 19:35:17,157 INFO] Epoch:1, Snapshot: 71; Loss: 0.6927
+[2024-05-21 19:35:22,756 INFO] Epoch:1, Snapshot: 72; Loss: 0.6972
+[2024-05-21 19:35:28,238 INFO] Epoch:1, Snapshot: 73; Loss: 0.6995
+[2024-05-21 19:35:34,301 INFO] Epoch:1, Snapshot: 74; Loss: 0.6984
+[2024-05-21 19:35:40,147 INFO] Epoch:1, Snapshot: 75; Loss: 0.6967
+[2024-05-21 19:35:45,808 INFO] Epoch:1, Snapshot: 76; Loss: 0.6939
+[2024-05-21 19:35:52,062 INFO] Epoch:1, Snapshot: 77; Loss: 0.6947
+[2024-05-21 19:35:58,169 INFO] Epoch:1, Snapshot: 78; Loss: 0.6922
+[2024-05-21 19:36:04,247 INFO] Epoch:1, Snapshot: 79; Loss: 0.6923
+[2024-05-21 19:36:10,173 INFO] Epoch:1, Snapshot: 80; Loss: 0.6944
+[2024-05-21 19:36:16,221 INFO] Epoch:1, Snapshot: 81; Loss: 0.6919
+[2024-05-21 19:36:22,176 INFO] Epoch:1, Snapshot: 82; Loss: 0.6961
+[2024-05-21 19:36:28,568 INFO] Epoch:1, Snapshot: 83; Loss: 0.6942
+[2024-05-21 19:36:34,586 INFO] Epoch:1, Snapshot: 84; Loss: 0.6958
+[2024-05-21 19:36:40,729 INFO] Epoch:1, Snapshot: 85; Loss: 0.6946
+[2024-05-21 19:36:46,277 INFO] Epoch:1, Snapshot: 86; Loss: 0.6931
+[2024-05-21 19:38:08,112 INFO] ==========================================================================================
+[2024-05-21 19:38:08,112 INFO] Epoch:1, Loss: 0.7504, Time: 685.035, GPU: 792.7MiB
+[2024-05-21 19:38:08,112 INFO] Epoch:1, F1: 0.6644; Accuracy: 0.4979; Precision: 0.4979; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 19:38:12,513 INFO] Epoch:2, Snapshot: 0; Loss: 0.8548
+[2024-05-21 19:38:18,889 INFO] Epoch:2, Snapshot: 1; Loss: 0.6935
+[2024-05-21 19:38:24,497 INFO] Epoch:2, Snapshot: 2; Loss: 0.6942
+[2024-05-21 19:38:30,327 INFO] Epoch:2, Snapshot: 3; Loss: 0.6974
+[2024-05-21 19:38:36,061 INFO] Epoch:2, Snapshot: 4; Loss: 0.6956
+[2024-05-21 19:38:41,906 INFO] Epoch:2, Snapshot: 5; Loss: 0.6963
+[2024-05-21 19:38:47,611 INFO] Epoch:2, Snapshot: 6; Loss: 0.6915
+[2024-05-21 19:38:53,254 INFO] Epoch:2, Snapshot: 7; Loss: 0.6937
+[2024-05-21 19:38:59,004 INFO] Epoch:2, Snapshot: 8; Loss: 0.6967
+[2024-05-21 19:39:05,523 INFO] Epoch:2, Snapshot: 9; Loss: 0.6920
+[2024-05-21 19:39:11,446 INFO] Epoch:2, Snapshot: 10; Loss: 0.6995
+[2024-05-21 19:39:17,274 INFO] Epoch:2, Snapshot: 11; Loss: 0.6920
+[2024-05-21 19:39:23,295 INFO] Epoch:2, Snapshot: 12; Loss: 0.6924
+[2024-05-21 19:39:29,059 INFO] Epoch:2, Snapshot: 13; Loss: 0.6923
+[2024-05-21 19:39:34,874 INFO] Epoch:2, Snapshot: 14; Loss: 0.6960
+[2024-05-21 19:39:40,846 INFO] Epoch:2, Snapshot: 15; Loss: 0.6894
+[2024-05-21 19:39:46,484 INFO] Epoch:2, Snapshot: 16; Loss: 0.6970
+[2024-05-21 19:39:52,065 INFO] Epoch:2, Snapshot: 17; Loss: 0.6952
+[2024-05-21 19:39:57,739 INFO] Epoch:2, Snapshot: 18; Loss: 0.6956
+[2024-05-21 19:40:03,584 INFO] Epoch:2, Snapshot: 19; Loss: 0.6971
+[2024-05-21 19:40:09,069 INFO] Epoch:2, Snapshot: 20; Loss: 0.7004
+[2024-05-21 19:40:14,571 INFO] Epoch:2, Snapshot: 21; Loss: 0.6921
+[2024-05-21 19:40:20,212 INFO] Epoch:2, Snapshot: 22; Loss: 0.6998
+[2024-05-21 19:40:25,637 INFO] Epoch:2, Snapshot: 23; Loss: 0.6971
+[2024-05-21 19:40:31,388 INFO] Epoch:2, Snapshot: 24; Loss: 0.6918
+[2024-05-21 19:40:36,920 INFO] Epoch:2, Snapshot: 25; Loss: 0.6965
+[2024-05-21 19:40:42,980 INFO] Epoch:2, Snapshot: 26; Loss: 0.6938
+[2024-05-21 19:40:48,826 INFO] Epoch:2, Snapshot: 27; Loss: 0.6925
+[2024-05-21 19:40:54,436 INFO] Epoch:2, Snapshot: 28; Loss: 0.6941
+[2024-05-21 19:40:59,970 INFO] Epoch:2, Snapshot: 29; Loss: 0.6994
+[2024-05-21 19:41:05,923 INFO] Epoch:2, Snapshot: 30; Loss: 0.6930
+[2024-05-21 19:41:11,814 INFO] Epoch:2, Snapshot: 31; Loss: 0.6939
+[2024-05-21 19:41:17,315 INFO] Epoch:2, Snapshot: 32; Loss: 0.6992
+[2024-05-21 19:41:23,237 INFO] Epoch:2, Snapshot: 33; Loss: 0.6899
+[2024-05-21 19:41:28,962 INFO] Epoch:2, Snapshot: 34; Loss: 0.6963
+[2024-05-21 19:41:34,618 INFO] Epoch:2, Snapshot: 35; Loss: 0.6969
+[2024-05-21 19:41:40,806 INFO] Epoch:2, Snapshot: 36; Loss: 0.6913
+[2024-05-21 19:41:46,838 INFO] Epoch:2, Snapshot: 37; Loss: 0.6893
+[2024-05-21 19:41:52,385 INFO] Epoch:2, Snapshot: 38; Loss: 0.6933
+[2024-05-21 19:41:58,105 INFO] Epoch:2, Snapshot: 39; Loss: 0.6958
+[2024-05-21 19:42:03,949 INFO] Epoch:2, Snapshot: 40; Loss: 0.6953
+[2024-05-21 19:42:09,559 INFO] Epoch:2, Snapshot: 41; Loss: 0.6935
+[2024-05-21 19:42:15,201 INFO] Epoch:2, Snapshot: 42; Loss: 0.6963
+[2024-05-21 19:42:21,002 INFO] Epoch:2, Snapshot: 43; Loss: 0.6972
+[2024-05-21 19:42:26,723 INFO] Epoch:2, Snapshot: 44; Loss: 0.6909
+[2024-05-21 19:42:32,783 INFO] Epoch:2, Snapshot: 45; Loss: 0.6929
+[2024-05-21 19:42:38,503 INFO] Epoch:2, Snapshot: 46; Loss: 0.6949
+[2024-05-21 19:42:44,259 INFO] Epoch:2, Snapshot: 47; Loss: 0.6980
+[2024-05-21 19:42:50,260 INFO] Epoch:2, Snapshot: 48; Loss: 0.6953
+[2024-05-21 19:42:56,466 INFO] Epoch:2, Snapshot: 49; Loss: 0.6941
+[2024-05-21 19:43:02,514 INFO] Epoch:2, Snapshot: 50; Loss: 0.6965
+[2024-05-21 19:43:08,657 INFO] Epoch:2, Snapshot: 51; Loss: 0.6962
+[2024-05-21 19:43:14,593 INFO] Epoch:2, Snapshot: 52; Loss: 0.6925
+[2024-05-21 19:43:20,829 INFO] Epoch:2, Snapshot: 53; Loss: 0.6931
+[2024-05-21 19:43:26,690 INFO] Epoch:2, Snapshot: 54; Loss: 0.6962
+[2024-05-21 19:43:32,770 INFO] Epoch:2, Snapshot: 55; Loss: 0.6933
+[2024-05-21 19:43:38,584 INFO] Epoch:2, Snapshot: 56; Loss: 0.6967
+[2024-05-21 19:43:44,214 INFO] Epoch:2, Snapshot: 57; Loss: 0.6925
+[2024-05-21 19:43:49,402 INFO] Epoch:2, Snapshot: 58; Loss: 0.6944
+[2024-05-21 19:43:55,444 INFO] Epoch:2, Snapshot: 59; Loss: 0.6899
+[2024-05-21 19:44:01,515 INFO] Epoch:2, Snapshot: 60; Loss: 0.6947
+[2024-05-21 19:44:07,741 INFO] Epoch:2, Snapshot: 61; Loss: 0.6971
+[2024-05-21 19:44:13,851 INFO] Epoch:2, Snapshot: 62; Loss: 0.6954
+[2024-05-21 19:44:20,228 INFO] Epoch:2, Snapshot: 63; Loss: 0.6941
+[2024-05-21 19:44:26,344 INFO] Epoch:2, Snapshot: 64; Loss: 0.6972
+[2024-05-21 19:44:32,190 INFO] Epoch:2, Snapshot: 65; Loss: 0.6957
+[2024-05-21 19:44:37,864 INFO] Epoch:2, Snapshot: 66; Loss: 0.6894
+[2024-05-21 19:44:43,701 INFO] Epoch:2, Snapshot: 67; Loss: 0.6943
+[2024-05-21 19:44:49,467 INFO] Epoch:2, Snapshot: 68; Loss: 0.6953
+[2024-05-21 19:44:55,516 INFO] Epoch:2, Snapshot: 69; Loss: 0.6942
+[2024-05-21 19:45:01,377 INFO] Epoch:2, Snapshot: 70; Loss: 0.6903
+[2024-05-21 19:45:06,830 INFO] Epoch:2, Snapshot: 71; Loss: 0.6957
+[2024-05-21 19:45:12,489 INFO] Epoch:2, Snapshot: 72; Loss: 0.6967
+[2024-05-21 19:45:17,866 INFO] Epoch:2, Snapshot: 73; Loss: 0.6996
+[2024-05-21 19:45:23,617 INFO] Epoch:2, Snapshot: 74; Loss: 0.7018
+[2024-05-21 19:45:29,602 INFO] Epoch:2, Snapshot: 75; Loss: 0.6978
+[2024-05-21 19:45:35,415 INFO] Epoch:2, Snapshot: 76; Loss: 0.6963
+[2024-05-21 19:45:41,542 INFO] Epoch:2, Snapshot: 77; Loss: 0.6941
+[2024-05-21 19:45:47,480 INFO] Epoch:2, Snapshot: 78; Loss: 0.6914
+[2024-05-21 19:45:53,404 INFO] Epoch:2, Snapshot: 79; Loss: 0.6942
+[2024-05-21 19:45:59,140 INFO] Epoch:2, Snapshot: 80; Loss: 0.6950
+[2024-05-21 19:46:05,235 INFO] Epoch:2, Snapshot: 81; Loss: 0.6940
+[2024-05-21 19:46:11,038 INFO] Epoch:2, Snapshot: 82; Loss: 0.6973
+[2024-05-21 19:46:17,618 INFO] Epoch:2, Snapshot: 83; Loss: 0.6946
+[2024-05-21 19:46:23,603 INFO] Epoch:2, Snapshot: 84; Loss: 0.6932
+[2024-05-21 19:46:29,684 INFO] Epoch:2, Snapshot: 85; Loss: 0.6918
+[2024-05-21 19:46:35,437 INFO] Epoch:2, Snapshot: 86; Loss: 0.6953
+[2024-05-21 19:47:55,784 INFO] ==========================================================================================
+[2024-05-21 19:47:55,784 INFO] Epoch:2, Loss: 0.6966, Time: 587.672, GPU: 792.7MiB
+[2024-05-21 19:47:55,784 INFO] Epoch:2, F1: 0.6644; Accuracy: 0.4979; Precision: 0.4979; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 19:48:00,082 INFO] Epoch:3, Snapshot: 0; Loss: 0.8517
+[2024-05-21 19:48:06,164 INFO] Epoch:3, Snapshot: 1; Loss: 0.6930
+[2024-05-21 19:48:12,254 INFO] Epoch:3, Snapshot: 2; Loss: 0.6955
+[2024-05-21 19:48:18,110 INFO] Epoch:3, Snapshot: 3; Loss: 0.6969
+[2024-05-21 19:48:23,143 INFO] Epoch:3, Snapshot: 4; Loss: 0.6971
+[2024-05-21 19:48:28,723 INFO] Epoch:3, Snapshot: 5; Loss: 0.6929
+[2024-05-21 19:48:34,942 INFO] Epoch:3, Snapshot: 6; Loss: 0.6944
+[2024-05-21 19:48:40,615 INFO] Epoch:3, Snapshot: 7; Loss: 0.6931
+[2024-05-21 19:48:46,209 INFO] Epoch:3, Snapshot: 8; Loss: 0.6959
+[2024-05-21 19:48:52,696 INFO] Epoch:3, Snapshot: 9; Loss: 0.6912
+[2024-05-21 19:48:57,964 INFO] Epoch:3, Snapshot: 10; Loss: 0.6971
+[2024-05-21 19:49:03,371 INFO] Epoch:3, Snapshot: 11; Loss: 0.6903
+[2024-05-21 19:49:09,371 INFO] Epoch:3, Snapshot: 12; Loss: 0.6924
+[2024-05-21 19:49:15,390 INFO] Epoch:3, Snapshot: 13; Loss: 0.6944
+[2024-05-21 19:49:21,344 INFO] Epoch:3, Snapshot: 14; Loss: 0.6956
+[2024-05-21 19:49:27,428 INFO] Epoch:3, Snapshot: 15; Loss: 0.6916
+[2024-05-21 19:49:32,987 INFO] Epoch:3, Snapshot: 16; Loss: 0.6982
+[2024-05-21 19:49:39,135 INFO] Epoch:3, Snapshot: 17; Loss: 0.6948
+[2024-05-21 19:49:44,842 INFO] Epoch:3, Snapshot: 18; Loss: 0.6964
+[2024-05-21 19:49:50,610 INFO] Epoch:3, Snapshot: 19; Loss: 0.6965
+[2024-05-21 19:49:56,190 INFO] Epoch:3, Snapshot: 20; Loss: 0.7016
+[2024-05-21 19:50:02,081 INFO] Epoch:3, Snapshot: 21; Loss: 0.6910
+[2024-05-21 19:50:07,161 INFO] Epoch:3, Snapshot: 22; Loss: 0.6990
+[2024-05-21 19:50:12,615 INFO] Epoch:3, Snapshot: 23; Loss: 0.6991
+[2024-05-21 19:50:18,271 INFO] Epoch:3, Snapshot: 24; Loss: 0.6941
+[2024-05-21 19:50:23,523 INFO] Epoch:3, Snapshot: 25; Loss: 0.6962
+[2024-05-21 19:50:29,165 INFO] Epoch:3, Snapshot: 26; Loss: 0.6944
+[2024-05-21 19:50:35,401 INFO] Epoch:3, Snapshot: 27; Loss: 0.6924
+[2024-05-21 19:50:40,996 INFO] Epoch:3, Snapshot: 28; Loss: 0.6968
+[2024-05-21 19:50:46,294 INFO] Epoch:3, Snapshot: 29; Loss: 0.6983
+[2024-05-21 19:50:52,130 INFO] Epoch:3, Snapshot: 30; Loss: 0.6920
+[2024-05-21 19:50:58,196 INFO] Epoch:3, Snapshot: 31; Loss: 0.6935
+[2024-05-21 19:51:03,948 INFO] Epoch:3, Snapshot: 32; Loss: 0.6980
+[2024-05-21 19:51:10,059 INFO] Epoch:3, Snapshot: 33; Loss: 0.6903
+[2024-05-21 19:51:15,623 INFO] Epoch:3, Snapshot: 34; Loss: 0.6986
+[2024-05-21 19:51:21,279 INFO] Epoch:3, Snapshot: 35; Loss: 0.6956
+[2024-05-21 19:51:27,488 INFO] Epoch:3, Snapshot: 36; Loss: 0.6925
+[2024-05-21 19:51:33,753 INFO] Epoch:3, Snapshot: 37; Loss: 0.6888
+[2024-05-21 19:51:39,822 INFO] Epoch:3, Snapshot: 38; Loss: 0.6906
+[2024-05-21 19:51:45,432 INFO] Epoch:3, Snapshot: 39; Loss: 0.6963
+[2024-05-21 19:51:51,168 INFO] Epoch:3, Snapshot: 40; Loss: 0.6929
+[2024-05-21 19:51:56,888 INFO] Epoch:3, Snapshot: 41; Loss: 0.6955
+[2024-05-21 19:52:02,828 INFO] Epoch:3, Snapshot: 42; Loss: 0.6959
+[2024-05-21 19:52:08,581 INFO] Epoch:3, Snapshot: 43; Loss: 0.6979
+[2024-05-21 19:52:14,520 INFO] Epoch:3, Snapshot: 44; Loss: 0.6898
+[2024-05-21 19:52:20,600 INFO] Epoch:3, Snapshot: 45; Loss: 0.6927
+[2024-05-21 19:52:26,758 INFO] Epoch:3, Snapshot: 46; Loss: 0.6937
+[2024-05-21 19:52:32,321 INFO] Epoch:3, Snapshot: 47; Loss: 0.6943
+[2024-05-21 19:52:38,384 INFO] Epoch:3, Snapshot: 48; Loss: 0.6967
+[2024-05-21 19:52:44,542 INFO] Epoch:3, Snapshot: 49; Loss: 0.6959
+[2024-05-21 19:52:50,576 INFO] Epoch:3, Snapshot: 50; Loss: 0.6983
+[2024-05-21 19:52:56,483 INFO] Epoch:3, Snapshot: 51; Loss: 0.6977
+[2024-05-21 19:53:02,516 INFO] Epoch:3, Snapshot: 52; Loss: 0.6927
+[2024-05-21 19:53:08,525 INFO] Epoch:3, Snapshot: 53; Loss: 0.6953
+[2024-05-21 19:53:14,504 INFO] Epoch:3, Snapshot: 54; Loss: 0.6999
+[2024-05-21 19:53:20,539 INFO] Epoch:3, Snapshot: 55; Loss: 0.6927
+[2024-05-21 19:53:26,588 INFO] Epoch:3, Snapshot: 56; Loss: 0.6936
+[2024-05-21 19:53:32,245 INFO] Epoch:3, Snapshot: 57; Loss: 0.6932
+[2024-05-21 19:53:37,451 INFO] Epoch:3, Snapshot: 58; Loss: 0.6940
+[2024-05-21 19:53:43,171 INFO] Epoch:3, Snapshot: 59; Loss: 0.6927
+[2024-05-21 19:53:49,049 INFO] Epoch:3, Snapshot: 60; Loss: 0.6960
+[2024-05-21 19:53:55,424 INFO] Epoch:3, Snapshot: 61; Loss: 0.6956
+[2024-05-21 19:54:01,645 INFO] Epoch:3, Snapshot: 62; Loss: 0.6959
+[2024-05-21 19:54:08,053 INFO] Epoch:3, Snapshot: 63; Loss: 0.6962
+[2024-05-21 19:54:14,150 INFO] Epoch:3, Snapshot: 64; Loss: 0.6977
+[2024-05-21 19:54:20,086 INFO] Epoch:3, Snapshot: 65; Loss: 0.6976
+[2024-05-21 19:54:26,244 INFO] Epoch:3, Snapshot: 66; Loss: 0.6891
+[2024-05-21 19:54:32,079 INFO] Epoch:3, Snapshot: 67; Loss: 0.6943
+[2024-05-21 19:54:37,717 INFO] Epoch:3, Snapshot: 68; Loss: 0.6935
+[2024-05-21 19:54:43,435 INFO] Epoch:3, Snapshot: 69; Loss: 0.6947
+[2024-05-21 19:54:49,483 INFO] Epoch:3, Snapshot: 70; Loss: 0.6910
+[2024-05-21 19:54:55,328 INFO] Epoch:3, Snapshot: 71; Loss: 0.6972
+[2024-05-21 19:55:01,237 INFO] Epoch:3, Snapshot: 72; Loss: 0.6979
+[2024-05-21 19:55:06,832 INFO] Epoch:3, Snapshot: 73; Loss: 0.6996
+[2024-05-21 19:55:12,679 INFO] Epoch:3, Snapshot: 74; Loss: 0.6976
+[2024-05-21 19:55:18,680 INFO] Epoch:3, Snapshot: 75; Loss: 0.6996
+[2024-05-21 19:55:24,572 INFO] Epoch:3, Snapshot: 76; Loss: 0.6961
+[2024-05-21 19:55:30,326 INFO] Epoch:3, Snapshot: 77; Loss: 0.6967
+[2024-05-21 19:55:36,367 INFO] Epoch:3, Snapshot: 78; Loss: 0.6912
+[2024-05-21 19:55:41,852 INFO] Epoch:3, Snapshot: 79; Loss: 0.6943
+[2024-05-21 19:55:47,419 INFO] Epoch:3, Snapshot: 80; Loss: 0.6950
+[2024-05-21 19:55:53,516 INFO] Epoch:3, Snapshot: 81; Loss: 0.6947
+[2024-05-21 19:55:59,174 INFO] Epoch:3, Snapshot: 82; Loss: 0.6982
+[2024-05-21 19:56:04,833 INFO] Epoch:3, Snapshot: 83; Loss: 0.6912
+[2024-05-21 19:56:10,617 INFO] Epoch:3, Snapshot: 84; Loss: 0.6929
+[2024-05-21 19:56:16,446 INFO] Epoch:3, Snapshot: 85; Loss: 0.6930
+[2024-05-21 19:56:22,323 INFO] Epoch:3, Snapshot: 86; Loss: 0.6946
+[2024-05-21 19:57:42,661 INFO] ==========================================================================================
+[2024-05-21 19:57:42,661 INFO] Epoch:3, Loss: 0.6967, Time: 586.877, GPU: 792.7MiB
+[2024-05-21 19:57:42,661 INFO] Epoch:3, F1: 0.6644; Accuracy: 0.4979; Precision: 0.4979; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 19:57:46,961 INFO] Epoch:4, Snapshot: 0; Loss: 0.8509
+[2024-05-21 19:57:53,087 INFO] Epoch:4, Snapshot: 1; Loss: 0.6896
+[2024-05-21 19:57:59,012 INFO] Epoch:4, Snapshot: 2; Loss: 0.6934
+[2024-05-21 19:58:04,765 INFO] Epoch:4, Snapshot: 3; Loss: 0.6982
+[2024-05-21 19:58:10,642 INFO] Epoch:4, Snapshot: 4; Loss: 0.6971
+[2024-05-21 19:58:16,302 INFO] Epoch:4, Snapshot: 5; Loss: 0.6941
+[2024-05-21 19:58:22,336 INFO] Epoch:4, Snapshot: 6; Loss: 0.6933
+[2024-05-21 19:58:27,650 INFO] Epoch:4, Snapshot: 7; Loss: 0.6928
+[2024-05-21 19:58:32,934 INFO] Epoch:4, Snapshot: 8; Loss: 0.6960
+[2024-05-21 19:58:39,389 INFO] Epoch:4, Snapshot: 9; Loss: 0.6928
+[2024-05-21 19:58:45,330 INFO] Epoch:4, Snapshot: 10; Loss: 0.6978
+[2024-05-21 19:58:51,240 INFO] Epoch:4, Snapshot: 11; Loss: 0.6915
+[2024-05-21 19:58:57,055 INFO] Epoch:4, Snapshot: 12; Loss: 0.6937
+[2024-05-21 19:59:02,697 INFO] Epoch:4, Snapshot: 13; Loss: 0.6931
+[2024-05-21 19:59:07,903 INFO] Epoch:4, Snapshot: 14; Loss: 0.6973
+[2024-05-21 19:59:13,748 INFO] Epoch:4, Snapshot: 15; Loss: 0.6873
+[2024-05-21 19:59:19,374 INFO] Epoch:4, Snapshot: 16; Loss: 0.6983
+[2024-05-21 19:59:25,346 INFO] Epoch:4, Snapshot: 17; Loss: 0.6967
+[2024-05-21 19:59:31,114 INFO] Epoch:4, Snapshot: 18; Loss: 0.6965
+[2024-05-21 19:59:36,641 INFO] Epoch:4, Snapshot: 19; Loss: 0.6953
+[2024-05-21 19:59:42,134 INFO] Epoch:4, Snapshot: 20; Loss: 0.6991
+[2024-05-21 19:59:47,827 INFO] Epoch:4, Snapshot: 21; Loss: 0.6911
+[2024-05-21 19:59:53,361 INFO] Epoch:4, Snapshot: 22; Loss: 0.7008
+[2024-05-21 19:59:58,918 INFO] Epoch:4, Snapshot: 23; Loss: 0.7006
+[2024-05-21 20:00:04,409 INFO] Epoch:4, Snapshot: 24; Loss: 0.6939
+[2024-05-21 20:00:09,889 INFO] Epoch:4, Snapshot: 25; Loss: 0.6970
+[2024-05-21 20:00:15,314 INFO] Epoch:4, Snapshot: 26; Loss: 0.6939
+[2024-05-21 20:00:20,503 INFO] Epoch:4, Snapshot: 27; Loss: 0.6947
+[2024-05-21 20:00:25,797 INFO] Epoch:4, Snapshot: 28; Loss: 0.6949
+[2024-05-21 20:00:30,930 INFO] Epoch:4, Snapshot: 29; Loss: 0.6973
+[2024-05-21 20:00:35,978 INFO] Epoch:4, Snapshot: 30; Loss: 0.6914
+[2024-05-21 20:00:41,762 INFO] Epoch:4, Snapshot: 31; Loss: 0.6892
+[2024-05-21 20:00:47,185 INFO] Epoch:4, Snapshot: 32; Loss: 0.6972
+[2024-05-21 20:00:53,062 INFO] Epoch:4, Snapshot: 33; Loss: 0.6896
+[2024-05-21 20:00:58,158 INFO] Epoch:4, Snapshot: 34; Loss: 0.6953
+[2024-05-21 20:01:03,754 INFO] Epoch:4, Snapshot: 35; Loss: 0.6956
+[2024-05-21 20:01:09,786 INFO] Epoch:4, Snapshot: 36; Loss: 0.6897
+[2024-05-21 20:01:15,569 INFO] Epoch:4, Snapshot: 37; Loss: 0.6892
+[2024-05-21 20:01:21,400 INFO] Epoch:4, Snapshot: 38; Loss: 0.6930
+[2024-05-21 20:01:26,825 INFO] Epoch:4, Snapshot: 39; Loss: 0.6966
+[2024-05-21 20:01:32,438 INFO] Epoch:4, Snapshot: 40; Loss: 0.6929
+[2024-05-21 20:01:37,956 INFO] Epoch:4, Snapshot: 41; Loss: 0.6980
+[2024-05-21 20:01:43,757 INFO] Epoch:4, Snapshot: 42; Loss: 0.6987
+[2024-05-21 20:01:49,494 INFO] Epoch:4, Snapshot: 43; Loss: 0.6958
+[2024-05-21 20:01:55,355 INFO] Epoch:4, Snapshot: 44; Loss: 0.6913
+[2024-05-21 20:02:01,365 INFO] Epoch:4, Snapshot: 45; Loss: 0.6910
+[2024-05-21 20:02:07,227 INFO] Epoch:4, Snapshot: 46; Loss: 0.6957
+[2024-05-21 20:02:12,791 INFO] Epoch:4, Snapshot: 47; Loss: 0.6954
+[2024-05-21 20:02:18,699 INFO] Epoch:4, Snapshot: 48; Loss: 0.6952
+[2024-05-21 20:02:24,795 INFO] Epoch:4, Snapshot: 49; Loss: 0.6935
+[2024-05-21 20:02:30,406 INFO] Epoch:4, Snapshot: 50; Loss: 0.6959
+[2024-05-21 20:02:36,111 INFO] Epoch:4, Snapshot: 51; Loss: 0.6957
+[2024-05-21 20:02:41,910 INFO] Epoch:4, Snapshot: 52; Loss: 0.6935
+[2024-05-21 20:02:47,803 INFO] Epoch:4, Snapshot: 53; Loss: 0.6948
+[2024-05-21 20:02:53,431 INFO] Epoch:4, Snapshot: 54; Loss: 0.6973
+[2024-05-21 20:02:58,618 INFO] Epoch:4, Snapshot: 55; Loss: 0.6929
+[2024-05-21 20:03:04,342 INFO] Epoch:4, Snapshot: 56; Loss: 0.6918
+[2024-05-21 20:03:09,860 INFO] Epoch:4, Snapshot: 57; Loss: 0.6945
+[2024-05-21 20:03:15,003 INFO] Epoch:4, Snapshot: 58; Loss: 0.6971
+[2024-05-21 20:03:20,911 INFO] Epoch:4, Snapshot: 59; Loss: 0.6929
+[2024-05-21 20:03:26,711 INFO] Epoch:4, Snapshot: 60; Loss: 0.6944
+[2024-05-21 20:03:33,030 INFO] Epoch:4, Snapshot: 61; Loss: 0.6959
+[2024-05-21 20:03:38,563 INFO] Epoch:4, Snapshot: 62; Loss: 0.6977
+[2024-05-21 20:03:44,674 INFO] Epoch:4, Snapshot: 63; Loss: 0.6939
+[2024-05-21 20:03:50,598 INFO] Epoch:4, Snapshot: 64; Loss: 0.6971
+[2024-05-21 20:03:56,242 INFO] Epoch:4, Snapshot: 65; Loss: 0.6959
+[2024-05-21 20:04:01,714 INFO] Epoch:4, Snapshot: 66; Loss: 0.6919
+[2024-05-21 20:04:07,354 INFO] Epoch:4, Snapshot: 67; Loss: 0.6953
+[2024-05-21 20:04:12,730 INFO] Epoch:4, Snapshot: 68; Loss: 0.6981
+[2024-05-21 20:04:18,342 INFO] Epoch:4, Snapshot: 69; Loss: 0.6967
+[2024-05-21 20:04:24,248 INFO] Epoch:4, Snapshot: 70; Loss: 0.6928
+[2024-05-21 20:04:30,070 INFO] Epoch:4, Snapshot: 71; Loss: 0.6940
+[2024-05-21 20:04:35,885 INFO] Epoch:4, Snapshot: 72; Loss: 0.6952
+[2024-05-21 20:04:41,435 INFO] Epoch:4, Snapshot: 73; Loss: 0.7021
+[2024-05-21 20:04:47,189 INFO] Epoch:4, Snapshot: 74; Loss: 0.6983
+[2024-05-21 20:04:52,457 INFO] Epoch:4, Snapshot: 75; Loss: 0.6979
+[2024-05-21 20:04:57,601 INFO] Epoch:4, Snapshot: 76; Loss: 0.6958
+[2024-05-21 20:05:03,509 INFO] Epoch:4, Snapshot: 77; Loss: 0.6954
+[2024-05-21 20:05:09,105 INFO] Epoch:4, Snapshot: 78; Loss: 0.6911
+[2024-05-21 20:05:14,967 INFO] Epoch:4, Snapshot: 79; Loss: 0.6925
+[2024-05-21 20:05:20,626 INFO] Epoch:4, Snapshot: 80; Loss: 0.6942
+[2024-05-21 20:05:26,689 INFO] Epoch:4, Snapshot: 81; Loss: 0.6923
+[2024-05-21 20:05:32,456 INFO] Epoch:4, Snapshot: 82; Loss: 0.6976
+[2024-05-21 20:05:38,669 INFO] Epoch:4, Snapshot: 83; Loss: 0.6921
+[2024-05-21 20:05:44,531 INFO] Epoch:4, Snapshot: 84; Loss: 0.6925
+[2024-05-21 20:05:50,330 INFO] Epoch:4, Snapshot: 85; Loss: 0.6909
+[2024-05-21 20:05:55,943 INFO] Epoch:4, Snapshot: 86; Loss: 0.6953
+[2024-05-21 20:07:16,209 INFO] ==========================================================================================
+[2024-05-21 20:07:16,209 INFO] Epoch:4, Loss: 0.6965, Time: 573.548, GPU: 792.7MiB
+[2024-05-21 20:07:16,209 INFO] Epoch:4, F1: 0.6644; Accuracy: 0.4979; Precision: 0.4979; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 20:07:20,571 INFO] Epoch:5, Snapshot: 0; Loss: 0.8511
+[2024-05-21 20:07:26,806 INFO] Epoch:5, Snapshot: 1; Loss: 0.6916
+[2024-05-21 20:07:32,841 INFO] Epoch:5, Snapshot: 2; Loss: 0.6920
+[2024-05-21 20:07:38,875 INFO] Epoch:5, Snapshot: 3; Loss: 0.6973
+[2024-05-21 20:07:44,409 INFO] Epoch:5, Snapshot: 4; Loss: 0.6960
+[2024-05-21 20:07:50,161 INFO] Epoch:5, Snapshot: 5; Loss: 0.6949
+[2024-05-21 20:07:56,241 INFO] Epoch:5, Snapshot: 6; Loss: 0.6934
+[2024-05-21 20:08:01,946 INFO] Epoch:5, Snapshot: 7; Loss: 0.6933
+[2024-05-21 20:08:07,214 INFO] Epoch:5, Snapshot: 8; Loss: 0.6956
+[2024-05-21 20:08:13,654 INFO] Epoch:5, Snapshot: 9; Loss: 0.6916
+[2024-05-21 20:08:19,204 INFO] Epoch:5, Snapshot: 10; Loss: 0.6967
+[2024-05-21 20:08:25,051 INFO] Epoch:5, Snapshot: 11; Loss: 0.6926
+[2024-05-21 20:08:30,803 INFO] Epoch:5, Snapshot: 12; Loss: 0.6936
+[2024-05-21 20:08:36,667 INFO] Epoch:5, Snapshot: 13; Loss: 0.6903
+[2024-05-21 20:08:42,214 INFO] Epoch:5, Snapshot: 14; Loss: 0.6950
+[2024-05-21 20:08:48,076 INFO] Epoch:5, Snapshot: 15; Loss: 0.6908
+[2024-05-21 20:08:53,547 INFO] Epoch:5, Snapshot: 16; Loss: 0.6966
+[2024-05-21 20:08:59,422 INFO] Epoch:5, Snapshot: 17; Loss: 0.6951
+[2024-05-21 20:09:05,017 INFO] Epoch:5, Snapshot: 18; Loss: 0.6963
+[2024-05-21 20:09:10,582 INFO] Epoch:5, Snapshot: 19; Loss: 0.6973
+[2024-05-21 20:09:16,066 INFO] Epoch:5, Snapshot: 20; Loss: 0.6991
+[2024-05-21 20:09:21,679 INFO] Epoch:5, Snapshot: 21; Loss: 0.6934
+[2024-05-21 20:09:27,386 INFO] Epoch:5, Snapshot: 22; Loss: 0.7030
+[2024-05-21 20:09:32,966 INFO] Epoch:5, Snapshot: 23; Loss: 0.6947
+[2024-05-21 20:09:38,617 INFO] Epoch:5, Snapshot: 24; Loss: 0.6900
+[2024-05-21 20:09:44,251 INFO] Epoch:5, Snapshot: 25; Loss: 0.6979
+[2024-05-21 20:09:50,018 INFO] Epoch:5, Snapshot: 26; Loss: 0.6937
+[2024-05-21 20:09:55,770 INFO] Epoch:5, Snapshot: 27; Loss: 0.6916
+[2024-05-21 20:10:01,350 INFO] Epoch:5, Snapshot: 28; Loss: 0.6959
+[2024-05-21 20:10:06,822 INFO] Epoch:5, Snapshot: 29; Loss: 0.6968
+[2024-05-21 20:10:12,404 INFO] Epoch:5, Snapshot: 30; Loss: 0.6956
+[2024-05-21 20:10:18,310 INFO] Epoch:5, Snapshot: 31; Loss: 0.6932
+[2024-05-21 20:10:23,861 INFO] Epoch:5, Snapshot: 32; Loss: 0.6988
+[2024-05-21 20:10:29,552 INFO] Epoch:5, Snapshot: 33; Loss: 0.6899
+[2024-05-21 20:10:35,209 INFO] Epoch:5, Snapshot: 34; Loss: 0.6956
+[2024-05-21 20:10:40,556 INFO] Epoch:5, Snapshot: 35; Loss: 0.6947
+[2024-05-21 20:10:46,605 INFO] Epoch:5, Snapshot: 36; Loss: 0.6898
+[2024-05-21 20:10:52,389 INFO] Epoch:5, Snapshot: 37; Loss: 0.6916
+[2024-05-21 20:10:58,204 INFO] Epoch:5, Snapshot: 38; Loss: 0.6919
+[2024-05-21 20:11:03,597 INFO] Epoch:5, Snapshot: 39; Loss: 0.6980
+[2024-05-21 20:11:09,100 INFO] Epoch:5, Snapshot: 40; Loss: 0.6929
+[2024-05-21 20:11:14,071 INFO] Epoch:5, Snapshot: 41; Loss: 0.6968
+[2024-05-21 20:11:19,791 INFO] Epoch:5, Snapshot: 42; Loss: 0.6953
+[2024-05-21 20:11:25,417 INFO] Epoch:5, Snapshot: 43; Loss: 0.6960
+[2024-05-21 20:11:31,075 INFO] Epoch:5, Snapshot: 44; Loss: 0.6931
+[2024-05-21 20:11:36,531 INFO] Epoch:5, Snapshot: 45; Loss: 0.6923
+[2024-05-21 20:11:42,430 INFO] Epoch:5, Snapshot: 46; Loss: 0.6967
+[2024-05-21 20:11:47,914 INFO] Epoch:5, Snapshot: 47; Loss: 0.6954
+[2024-05-21 20:11:53,978 INFO] Epoch:5, Snapshot: 48; Loss: 0.6943
+[2024-05-21 20:11:59,700 INFO] Epoch:5, Snapshot: 49; Loss: 0.6941
+[2024-05-21 20:12:05,640 INFO] Epoch:5, Snapshot: 50; Loss: 0.6968
+[2024-05-21 20:12:11,157 INFO] Epoch:5, Snapshot: 51; Loss: 0.6973
+[2024-05-21 20:12:17,049 INFO] Epoch:5, Snapshot: 52; Loss: 0.6923
+[2024-05-21 20:12:22,708 INFO] Epoch:5, Snapshot: 53; Loss: 0.6922
+[2024-05-21 20:12:28,570 INFO] Epoch:5, Snapshot: 54; Loss: 0.6980
+[2024-05-21 20:12:34,384 INFO] Epoch:5, Snapshot: 55; Loss: 0.6909
+[2024-05-21 20:12:40,179 INFO] Epoch:5, Snapshot: 56; Loss: 0.6925
+[2024-05-21 20:12:45,759 INFO] Epoch:5, Snapshot: 57; Loss: 0.6934
+[2024-05-21 20:12:51,339 INFO] Epoch:5, Snapshot: 58; Loss: 0.6954
+[2024-05-21 20:12:57,342 INFO] Epoch:5, Snapshot: 59; Loss: 0.6907
+[2024-05-21 20:13:03,296 INFO] Epoch:5, Snapshot: 60; Loss: 0.6946
+[2024-05-21 20:13:09,423 INFO] Epoch:5, Snapshot: 61; Loss: 0.6966
+[2024-05-21 20:13:15,161 INFO] Epoch:5, Snapshot: 62; Loss: 0.6967
+[2024-05-21 20:13:21,443 INFO] Epoch:5, Snapshot: 63; Loss: 0.6950
+[2024-05-21 20:13:27,586 INFO] Epoch:5, Snapshot: 64; Loss: 0.6963
+[2024-05-21 20:13:33,417 INFO] Epoch:5, Snapshot: 65; Loss: 0.6945
+[2024-05-21 20:13:39,060 INFO] Epoch:5, Snapshot: 66; Loss: 0.6892
+[2024-05-21 20:13:44,345 INFO] Epoch:5, Snapshot: 67; Loss: 0.6928
+[2024-05-21 20:13:49,802 INFO] Epoch:5, Snapshot: 68; Loss: 0.6956
+[2024-05-21 20:13:55,522 INFO] Epoch:5, Snapshot: 69; Loss: 0.6954
+[2024-05-21 20:14:01,570 INFO] Epoch:5, Snapshot: 70; Loss: 0.6932
+[2024-05-21 20:14:07,260 INFO] Epoch:5, Snapshot: 71; Loss: 0.6955
+[2024-05-21 20:14:13,201 INFO] Epoch:5, Snapshot: 72; Loss: 0.6974
+[2024-05-21 20:14:18,296 INFO] Epoch:5, Snapshot: 73; Loss: 0.6991
+[2024-05-21 20:14:23,581 INFO] Epoch:5, Snapshot: 74; Loss: 0.6982
+[2024-05-21 20:14:29,116 INFO] Epoch:5, Snapshot: 75; Loss: 0.6970
+[2024-05-21 20:14:34,688 INFO] Epoch:5, Snapshot: 76; Loss: 0.6946
+[2024-05-21 20:14:40,690 INFO] Epoch:5, Snapshot: 77; Loss: 0.6949
+[2024-05-21 20:14:46,691 INFO] Epoch:5, Snapshot: 78; Loss: 0.6902
+[2024-05-21 20:14:52,633 INFO] Epoch:5, Snapshot: 79; Loss: 0.6943
+[2024-05-21 20:14:57,962 INFO] Epoch:5, Snapshot: 80; Loss: 0.6972
+[2024-05-21 20:15:03,838 INFO] Epoch:5, Snapshot: 81; Loss: 0.6951
+[2024-05-21 20:15:09,670 INFO] Epoch:5, Snapshot: 82; Loss: 0.6968
+[2024-05-21 20:15:16,031 INFO] Epoch:5, Snapshot: 83; Loss: 0.6913
+[2024-05-21 20:15:22,066 INFO] Epoch:5, Snapshot: 84; Loss: 0.6962
+[2024-05-21 20:15:28,036 INFO] Epoch:5, Snapshot: 85; Loss: 0.6923
+[2024-05-21 20:15:34,037 INFO] Epoch:5, Snapshot: 86; Loss: 0.6931
+[2024-05-21 20:16:55,089 INFO] ==========================================================================================
+[2024-05-21 20:16:55,089 INFO] Epoch:5, Loss: 0.6964, Time: 578.880, GPU: 792.7MiB
+[2024-05-21 20:16:55,089 INFO] Epoch:5, F1: 0.6644; Accuracy: 0.4979; Precision: 0.4979; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 20:16:59,545 INFO] Epoch:6, Snapshot: 0; Loss: 0.8515
+[2024-05-21 20:17:05,705 INFO] Epoch:6, Snapshot: 1; Loss: 0.6930
+[2024-05-21 20:17:11,427 INFO] Epoch:6, Snapshot: 2; Loss: 0.6946
+[2024-05-21 20:17:17,513 INFO] Epoch:6, Snapshot: 3; Loss: 0.6964
+[2024-05-21 20:17:23,248 INFO] Epoch:6, Snapshot: 4; Loss: 0.6977
+[2024-05-21 20:17:29,187 INFO] Epoch:6, Snapshot: 5; Loss: 0.6932
+[2024-05-21 20:17:35,492 INFO] Epoch:6, Snapshot: 6; Loss: 0.6926
+[2024-05-21 20:17:41,300 INFO] Epoch:6, Snapshot: 7; Loss: 0.6934
+[2024-05-21 20:17:47,020 INFO] Epoch:6, Snapshot: 8; Loss: 0.6962
+[2024-05-21 20:17:53,600 INFO] Epoch:6, Snapshot: 9; Loss: 0.6922
+[2024-05-21 20:17:59,460 INFO] Epoch:6, Snapshot: 10; Loss: 0.6972
+[2024-05-21 20:18:05,228 INFO] Epoch:6, Snapshot: 11; Loss: 0.6903
+[2024-05-21 20:18:11,370 INFO] Epoch:6, Snapshot: 12; Loss: 0.6937
+[2024-05-21 20:18:17,438 INFO] Epoch:6, Snapshot: 13; Loss: 0.6927
+[2024-05-21 20:18:23,455 INFO] Epoch:6, Snapshot: 14; Loss: 0.6971
+[2024-05-21 20:18:29,534 INFO] Epoch:6, Snapshot: 15; Loss: 0.6883
+[2024-05-21 20:18:34,786 INFO] Epoch:6, Snapshot: 16; Loss: 0.6979
+[2024-05-21 20:18:40,648 INFO] Epoch:6, Snapshot: 17; Loss: 0.6950
+[2024-05-21 20:18:46,319 INFO] Epoch:6, Snapshot: 18; Loss: 0.6962
+[2024-05-21 20:18:51,585 INFO] Epoch:6, Snapshot: 19; Loss: 0.6959
+[2024-05-21 20:18:56,853 INFO] Epoch:6, Snapshot: 20; Loss: 0.6985
+[2024-05-21 20:19:02,588 INFO] Epoch:6, Snapshot: 21; Loss: 0.6914
+[2024-05-21 20:19:08,244 INFO] Epoch:6, Snapshot: 22; Loss: 0.6994
+[2024-05-21 20:19:13,651 INFO] Epoch:6, Snapshot: 23; Loss: 0.6998
+[2024-05-21 20:19:19,433 INFO] Epoch:6, Snapshot: 24; Loss: 0.6934
+[2024-05-21 20:19:25,061 INFO] Epoch:6, Snapshot: 25; Loss: 0.6965
+[2024-05-21 20:19:30,782 INFO] Epoch:6, Snapshot: 26; Loss: 0.6944
+[2024-05-21 20:19:36,937 INFO] Epoch:6, Snapshot: 27; Loss: 0.6932
+[2024-05-21 20:19:42,627 INFO] Epoch:6, Snapshot: 28; Loss: 0.6971
+[2024-05-21 20:19:48,050 INFO] Epoch:6, Snapshot: 29; Loss: 0.6975
+[2024-05-21 20:19:53,661 INFO] Epoch:6, Snapshot: 30; Loss: 0.6945
+[2024-05-21 20:19:59,429 INFO] Epoch:6, Snapshot: 31; Loss: 0.6941
+[2024-05-21 20:20:05,040 INFO] Epoch:6, Snapshot: 32; Loss: 0.6994
+[2024-05-21 20:20:10,745 INFO] Epoch:6, Snapshot: 33; Loss: 0.6899
+[2024-05-21 20:20:16,436 INFO] Epoch:6, Snapshot: 34; Loss: 0.6954
+[2024-05-21 20:20:21,938 INFO] Epoch:6, Snapshot: 35; Loss: 0.6958
+[2024-05-21 20:20:28,085 INFO] Epoch:6, Snapshot: 36; Loss: 0.6901
+[2024-05-21 20:20:33,740 INFO] Epoch:6, Snapshot: 37; Loss: 0.6901
+[2024-05-21 20:20:39,758 INFO] Epoch:6, Snapshot: 38; Loss: 0.6907
+[2024-05-21 20:20:45,431 INFO] Epoch:6, Snapshot: 39; Loss: 0.6972
+[2024-05-21 20:20:51,167 INFO] Epoch:6, Snapshot: 40; Loss: 0.6921
+[2024-05-21 20:20:56,700 INFO] Epoch:6, Snapshot: 41; Loss: 0.6982
+[2024-05-21 20:21:02,265 INFO] Epoch:6, Snapshot: 42; Loss: 0.6982
+[2024-05-21 20:21:08,064 INFO] Epoch:6, Snapshot: 43; Loss: 0.6987
+[2024-05-21 20:21:13,619 INFO] Epoch:6, Snapshot: 44; Loss: 0.6894
+[2024-05-21 20:21:19,479 INFO] Epoch:6, Snapshot: 45; Loss: 0.6907
+[2024-05-21 20:21:25,275 INFO] Epoch:6, Snapshot: 46; Loss: 0.6939
+[2024-05-21 20:21:30,557 INFO] Epoch:6, Snapshot: 47; Loss: 0.6972
+[2024-05-21 20:21:36,779 INFO] Epoch:6, Snapshot: 48; Loss: 0.6962
+[2024-05-21 20:21:42,889 INFO] Epoch:6, Snapshot: 49; Loss: 0.6920
+[2024-05-21 20:21:48,812 INFO] Epoch:6, Snapshot: 50; Loss: 0.6995
+[2024-05-21 20:21:54,579 INFO] Epoch:6, Snapshot: 51; Loss: 0.6936
+[2024-05-21 20:22:00,661 INFO] Epoch:6, Snapshot: 52; Loss: 0.6935
+[2024-05-21 20:22:06,647 INFO] Epoch:6, Snapshot: 53; Loss: 0.6936
+[2024-05-21 20:22:12,398 INFO] Epoch:6, Snapshot: 54; Loss: 0.7005
+[2024-05-21 20:22:18,217 INFO] Epoch:6, Snapshot: 55; Loss: 0.6909
+[2024-05-21 20:22:23,936 INFO] Epoch:6, Snapshot: 56; Loss: 0.6940
+[2024-05-21 20:22:29,907 INFO] Epoch:6, Snapshot: 57; Loss: 0.6929
+[2024-05-21 20:22:35,893 INFO] Epoch:6, Snapshot: 58; Loss: 0.6946
+[2024-05-21 20:22:42,207 INFO] Epoch:6, Snapshot: 59; Loss: 0.6905
+[2024-05-21 20:22:48,003 INFO] Epoch:6, Snapshot: 60; Loss: 0.6935
+[2024-05-21 20:22:54,301 INFO] Epoch:6, Snapshot: 61; Loss: 0.6969
+[2024-05-21 20:23:00,741 INFO] Epoch:6, Snapshot: 62; Loss: 0.6949
+[2024-05-21 20:23:07,272 INFO] Epoch:6, Snapshot: 63; Loss: 0.6937
+[2024-05-21 20:23:13,373 INFO] Epoch:6, Snapshot: 64; Loss: 0.6975
+[2024-05-21 20:23:19,370 INFO] Epoch:6, Snapshot: 65; Loss: 0.6962
+[2024-05-21 20:23:25,493 INFO] Epoch:6, Snapshot: 66; Loss: 0.6906
+[2024-05-21 20:23:31,432 INFO] Epoch:6, Snapshot: 67; Loss: 0.6930
+[2024-05-21 20:23:36,604 INFO] Epoch:6, Snapshot: 68; Loss: 0.6954
+[2024-05-21 20:23:42,461 INFO] Epoch:6, Snapshot: 69; Loss: 0.6941
+[2024-05-21 20:23:48,769 INFO] Epoch:6, Snapshot: 70; Loss: 0.6936
+[2024-05-21 20:23:54,599 INFO] Epoch:6, Snapshot: 71; Loss: 0.6956
+[2024-05-21 20:24:00,459 INFO] Epoch:6, Snapshot: 72; Loss: 0.6969
+[2024-05-21 20:24:06,149 INFO] Epoch:6, Snapshot: 73; Loss: 0.6996
+[2024-05-21 20:24:11,822 INFO] Epoch:6, Snapshot: 74; Loss: 0.6994
+[2024-05-21 20:24:17,137 INFO] Epoch:6, Snapshot: 75; Loss: 0.6981
+[2024-05-21 20:24:22,715 INFO] Epoch:6, Snapshot: 76; Loss: 0.6970
+[2024-05-21 20:24:28,921 INFO] Epoch:6, Snapshot: 77; Loss: 0.6937
+[2024-05-21 20:24:34,969 INFO] Epoch:6, Snapshot: 78; Loss: 0.6919
+[2024-05-21 20:24:40,956 INFO] Epoch:6, Snapshot: 79; Loss: 0.6930
+[2024-05-21 20:24:46,755 INFO] Epoch:6, Snapshot: 80; Loss: 0.6941
+[2024-05-21 20:24:53,165 INFO] Epoch:6, Snapshot: 81; Loss: 0.6931
+[2024-05-21 20:24:59,041 INFO] Epoch:6, Snapshot: 82; Loss: 0.6960
+[2024-05-21 20:25:05,229 INFO] Epoch:6, Snapshot: 83; Loss: 0.6931
+[2024-05-21 20:25:11,200 INFO] Epoch:6, Snapshot: 84; Loss: 0.6901
+[2024-05-21 20:25:16,757 INFO] Epoch:6, Snapshot: 85; Loss: 0.6952
+[2024-05-21 20:25:22,560 INFO] Epoch:6, Snapshot: 86; Loss: 0.6938
+[2024-05-21 20:26:42,054 INFO] ==========================================================================================
+[2024-05-21 20:26:42,054 INFO] Epoch:6, Loss: 0.6965, Time: 586.965, GPU: 792.7MiB
+[2024-05-21 20:26:42,054 INFO] Epoch:6, F1: 0.6644; Accuracy: 0.4979; Precision: 0.4979; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 20:26:46,430 INFO] Epoch:7, Snapshot: 0; Loss: 0.8530
+[2024-05-21 20:26:52,368 INFO] Epoch:7, Snapshot: 1; Loss: 0.6924
+[2024-05-21 20:26:57,791 INFO] Epoch:7, Snapshot: 2; Loss: 0.6948
+[2024-05-21 20:27:03,104 INFO] Epoch:7, Snapshot: 3; Loss: 0.6965
+[2024-05-21 20:27:08,449 INFO] Epoch:7, Snapshot: 4; Loss: 0.6950
+[2024-05-21 20:27:14,527 INFO] Epoch:7, Snapshot: 5; Loss: 0.6934
+[2024-05-21 20:27:20,763 INFO] Epoch:7, Snapshot: 6; Loss: 0.6942
+[2024-05-21 20:27:26,045 INFO] Epoch:7, Snapshot: 7; Loss: 0.6927
+[2024-05-21 20:27:31,779 INFO] Epoch:7, Snapshot: 8; Loss: 0.6956
+[2024-05-21 20:27:38,359 INFO] Epoch:7, Snapshot: 9; Loss: 0.6895
+[2024-05-21 20:27:44,251 INFO] Epoch:7, Snapshot: 10; Loss: 0.6979
+[2024-05-21 20:27:50,330 INFO] Epoch:7, Snapshot: 11; Loss: 0.6932
+[2024-05-21 20:27:56,395 INFO] Epoch:7, Snapshot: 12; Loss: 0.6941
+[2024-05-21 20:28:02,412 INFO] Epoch:7, Snapshot: 13; Loss: 0.6922
+[2024-05-21 20:28:08,453 INFO] Epoch:7, Snapshot: 14; Loss: 0.6963
+[2024-05-21 20:28:14,549 INFO] Epoch:7, Snapshot: 15; Loss: 0.6880
+[2024-05-21 20:28:20,128 INFO] Epoch:7, Snapshot: 16; Loss: 0.6967
+[2024-05-21 20:28:25,660 INFO] Epoch:7, Snapshot: 17; Loss: 0.6949
+[2024-05-21 20:28:31,099 INFO] Epoch:7, Snapshot: 18; Loss: 0.6959
+[2024-05-21 20:28:36,758 INFO] Epoch:7, Snapshot: 19; Loss: 0.6961
+[2024-05-21 20:28:42,432 INFO] Epoch:7, Snapshot: 20; Loss: 0.6997
+[2024-05-21 20:28:48,404 INFO] Epoch:7, Snapshot: 21; Loss: 0.6925
+[2024-05-21 20:28:54,140 INFO] Epoch:7, Snapshot: 22; Loss: 0.6993
+[2024-05-21 20:28:59,751 INFO] Epoch:7, Snapshot: 23; Loss: 0.6955
+[2024-05-21 20:29:05,656 INFO] Epoch:7, Snapshot: 24; Loss: 0.6939
+[2024-05-21 20:29:11,220 INFO] Epoch:7, Snapshot: 25; Loss: 0.6979
+[2024-05-21 20:29:17,304 INFO] Epoch:7, Snapshot: 26; Loss: 0.6935
+[2024-05-21 20:29:22,807 INFO] Epoch:7, Snapshot: 27; Loss: 0.6918
+[2024-05-21 20:29:28,526 INFO] Epoch:7, Snapshot: 28; Loss: 0.6959
+[2024-05-21 20:29:33,826 INFO] Epoch:7, Snapshot: 29; Loss: 0.6966
+[2024-05-21 20:29:39,546 INFO] Epoch:7, Snapshot: 30; Loss: 0.6940
+[2024-05-21 20:29:45,668 INFO] Epoch:7, Snapshot: 31; Loss: 0.6944
+[2024-05-21 20:29:51,313 INFO] Epoch:7, Snapshot: 32; Loss: 0.6992
+[2024-05-21 20:29:56,847 INFO] Epoch:7, Snapshot: 33; Loss: 0.6892
+[2024-05-21 20:30:02,630 INFO] Epoch:7, Snapshot: 34; Loss: 0.6949
+[2024-05-21 20:30:07,927 INFO] Epoch:7, Snapshot: 35; Loss: 0.6923
+[2024-05-21 20:30:14,147 INFO] Epoch:7, Snapshot: 36; Loss: 0.6880
+[2024-05-21 20:30:20,430 INFO] Epoch:7, Snapshot: 37; Loss: 0.6876
+[2024-05-21 20:30:26,165 INFO] Epoch:7, Snapshot: 38; Loss: 0.6918
+[2024-05-21 20:30:31,805 INFO] Epoch:7, Snapshot: 39; Loss: 0.6974
+[2024-05-21 20:30:37,807 INFO] Epoch:7, Snapshot: 40; Loss: 0.6928
+[2024-05-21 20:30:43,638 INFO] Epoch:7, Snapshot: 41; Loss: 0.6972
+[2024-05-21 20:30:49,467 INFO] Epoch:7, Snapshot: 42; Loss: 0.6934
+[2024-05-21 20:30:55,250 INFO] Epoch:7, Snapshot: 43; Loss: 0.6976
+[2024-05-21 20:31:01,126 INFO] Epoch:7, Snapshot: 44; Loss: 0.6920
+[2024-05-21 20:31:07,192 INFO] Epoch:7, Snapshot: 45; Loss: 0.6935
+[2024-05-21 20:31:13,242 INFO] Epoch:7, Snapshot: 46; Loss: 0.6932
+[2024-05-21 20:31:18,901 INFO] Epoch:7, Snapshot: 47; Loss: 0.6964
+[2024-05-21 20:31:25,088 INFO] Epoch:7, Snapshot: 48; Loss: 0.6964
+[2024-05-21 20:31:31,356 INFO] Epoch:7, Snapshot: 49; Loss: 0.6942
+[2024-05-21 20:31:37,333 INFO] Epoch:7, Snapshot: 50; Loss: 0.6965
+[2024-05-21 20:31:43,271 INFO] Epoch:7, Snapshot: 51; Loss: 0.6967
+[2024-05-21 20:31:48,897 INFO] Epoch:7, Snapshot: 52; Loss: 0.6938
+[2024-05-21 20:31:54,725 INFO] Epoch:7, Snapshot: 53; Loss: 0.6928
+[2024-05-21 20:32:00,476 INFO] Epoch:7, Snapshot: 54; Loss: 0.6965
+[2024-05-21 20:32:06,399 INFO] Epoch:7, Snapshot: 55; Loss: 0.6941
+[2024-05-21 20:32:12,352 INFO] Epoch:7, Snapshot: 56; Loss: 0.6931
+[2024-05-21 20:32:18,401 INFO] Epoch:7, Snapshot: 57; Loss: 0.6935
+[2024-05-21 20:32:24,044 INFO] Epoch:7, Snapshot: 58; Loss: 0.6958
+[2024-05-21 20:32:29,920 INFO] Epoch:7, Snapshot: 59; Loss: 0.6925
+[2024-05-21 20:32:36,015 INFO] Epoch:7, Snapshot: 60; Loss: 0.6947
+[2024-05-21 20:32:42,151 INFO] Epoch:7, Snapshot: 61; Loss: 0.6955
+[2024-05-21 20:32:48,382 INFO] Epoch:7, Snapshot: 62; Loss: 0.6968
+[2024-05-21 20:32:54,775 INFO] Epoch:7, Snapshot: 63; Loss: 0.6923
+[2024-05-21 20:33:00,823 INFO] Epoch:7, Snapshot: 64; Loss: 0.6993
+[2024-05-21 20:33:06,794 INFO] Epoch:7, Snapshot: 65; Loss: 0.6969
+[2024-05-21 20:33:12,904 INFO] Epoch:7, Snapshot: 66; Loss: 0.6914
+[2024-05-21 20:33:18,843 INFO] Epoch:7, Snapshot: 67; Loss: 0.6952
+[2024-05-21 20:33:24,031 INFO] Epoch:7, Snapshot: 68; Loss: 0.6955
+[2024-05-21 20:33:29,812 INFO] Epoch:7, Snapshot: 69; Loss: 0.6940
+[2024-05-21 20:33:35,905 INFO] Epoch:7, Snapshot: 70; Loss: 0.6924
+[2024-05-21 20:33:41,842 INFO] Epoch:7, Snapshot: 71; Loss: 0.6950
+[2024-05-21 20:33:47,360 INFO] Epoch:7, Snapshot: 72; Loss: 0.6971
+[2024-05-21 20:33:52,782 INFO] Epoch:7, Snapshot: 73; Loss: 0.7014
+[2024-05-21 20:33:58,438 INFO] Epoch:7, Snapshot: 74; Loss: 0.6974
+[2024-05-21 20:34:04,190 INFO] Epoch:7, Snapshot: 75; Loss: 0.6965
+[2024-05-21 20:34:09,926 INFO] Epoch:7, Snapshot: 76; Loss: 0.6963
+[2024-05-21 20:34:15,883 INFO] Epoch:7, Snapshot: 77; Loss: 0.6920
+[2024-05-21 20:34:22,010 INFO] Epoch:7, Snapshot: 78; Loss: 0.6916
+[2024-05-21 20:34:27,921 INFO] Epoch:7, Snapshot: 79; Loss: 0.6935
+[2024-05-21 20:34:33,906 INFO] Epoch:7, Snapshot: 80; Loss: 0.6957
+[2024-05-21 20:34:40,298 INFO] Epoch:7, Snapshot: 81; Loss: 0.6938
+[2024-05-21 20:34:46,343 INFO] Epoch:7, Snapshot: 82; Loss: 0.6972
+[2024-05-21 20:34:52,626 INFO] Epoch:7, Snapshot: 83; Loss: 0.6915
+[2024-05-21 20:34:58,441 INFO] Epoch:7, Snapshot: 84; Loss: 0.6938
+[2024-05-21 20:35:04,393 INFO] Epoch:7, Snapshot: 85; Loss: 0.6903
+[2024-05-21 20:35:09,799 INFO] Epoch:7, Snapshot: 86; Loss: 0.6945
+[2024-05-21 20:36:30,474 INFO] ==========================================================================================
+[2024-05-21 20:36:30,474 INFO] Epoch:7, Loss: 0.6963, Time: 588.420, GPU: 792.7MiB
+[2024-05-21 20:36:30,474 INFO] Epoch:7, F1: 0.6644; Accuracy: 0.4979; Precision: 0.4979; Recall: 1.0000; ROC AUC: 0.5000
+[2024-05-21 20:36:34,819 INFO] Epoch:8, Snapshot: 0; Loss: 0.8500
+[2024-05-21 20:36:40,963 INFO] Epoch:8, Snapshot: 1; Loss: 0.6925
+[2024-05-21 20:36:46,792 INFO] Epoch:8, Snapshot: 2; Loss: 0.6939
+[2024-05-21 20:36:52,169 INFO] Epoch:8, Snapshot: 3; Loss: 0.6958
+[2024-05-21 20:36:57,780 INFO] Epoch:8, Snapshot: 4; Loss: 0.6972
+[2024-05-21 20:37:03,497 INFO] Epoch:8, Snapshot: 5; Loss: 0.6944
+[2024-05-21 20:37:09,671 INFO] Epoch:8, Snapshot: 6; Loss: 0.6936
+[2024-05-21 20:37:15,533 INFO] Epoch:8, Snapshot: 7; Loss: 0.6916
+[2024-05-21 20:37:21,115 INFO] Epoch:8, Snapshot: 8; Loss: 0.6952
+[2024-05-21 20:37:27,477 INFO] Epoch:8, Snapshot: 9; Loss: 0.6906
+[2024-05-21 20:37:33,134 INFO] Epoch:8, Snapshot: 10; Loss: 0.6985
+[2024-05-21 20:37:38,917 INFO] Epoch:8, Snapshot: 11; Loss: 0.6889
+[2024-05-21 20:37:44,793 INFO] Epoch:8, Snapshot: 12; Loss: 0.6925
+[2024-05-21 20:37:50,779 INFO] Epoch:8, Snapshot: 13; Loss: 0.6918
+[2024-05-21 20:37:56,703 INFO] Epoch:8, Snapshot: 14; Loss: 0.6952
+[2024-05-21 20:38:02,687 INFO] Epoch:8, Snapshot: 15; Loss: 0.6916
+[2024-05-21 20:38:08,270 INFO] Epoch:8, Snapshot: 16; Loss: 0.6981
+[2024-05-21 20:38:14,084 INFO] Epoch:8, Snapshot: 17; Loss: 0.6959
+[2024-05-21 20:38:19,709 INFO] Epoch:8, Snapshot: 18; Loss: 0.6947
+[2024-05-21 20:38:25,325 INFO] Epoch:8, Snapshot: 19; Loss: 0.6964
+[2024-05-21 20:38:30,886 INFO] Epoch:8, Snapshot: 20; Loss: 0.6999
+[2024-05-21 20:38:36,670 INFO] Epoch:8, Snapshot: 21; Loss: 0.6924
+[2024-05-21 20:38:42,171 INFO] Epoch:8, Snapshot: 22; Loss: 0.7006
+[2024-05-21 20:38:47,782 INFO] Epoch:8, Snapshot: 23; Loss: 0.6981
+[2024-05-21 20:38:53,440 INFO] Epoch:8, Snapshot: 24; Loss: 0.6938
+[2024-05-21 20:38:58,959 INFO] Epoch:8, Snapshot: 25; Loss: 0.6987
+[2024-05-21 20:39:04,853 INFO] Epoch:8, Snapshot: 26; Loss: 0.6956
+[2024-05-21 20:39:10,684 INFO] Epoch:8, Snapshot: 27; Loss: 0.6919
+[2024-05-21 20:39:16,076 INFO] Epoch:8, Snapshot: 28; Loss: 0.6952
+[2024-05-21 20:39:21,454 INFO] Epoch:8, Snapshot: 29; Loss: 0.6976
+[2024-05-21 20:39:26,814 INFO] Epoch:8, Snapshot: 30; Loss: 0.6968
+[2024-05-21 20:39:32,754 INFO] Epoch:8, Snapshot: 31; Loss: 0.6931
+[2024-05-21 20:39:38,536 INFO] Epoch:8, Snapshot: 32; Loss: 0.6978
+[2024-05-21 20:39:44,632 INFO] Epoch:8, Snapshot: 33; Loss: 0.6928
+[2024-05-21 20:39:50,212 INFO] Epoch:8, Snapshot: 34; Loss: 0.6952
+[2024-05-21 20:39:55,854 INFO] Epoch:8, Snapshot: 35; Loss: 0.6944
+[2024-05-21 20:40:02,062 INFO] Epoch:8, Snapshot: 36; Loss: 0.6907
+[2024-05-21 20:40:08,204 INFO] Epoch:8, Snapshot: 37; Loss: 0.6895
+[2024-05-21 20:40:14,254 INFO] Epoch:8, Snapshot: 38; Loss: 0.6935
+[2024-05-21 20:40:19,802 INFO] Epoch:8, Snapshot: 39; Loss: 0.6971
+[2024-05-21 20:40:25,601 INFO] Epoch:8, Snapshot: 40; Loss: 0.6939
+[2024-05-21 20:40:31,273 INFO] Epoch:8, Snapshot: 41; Loss: 0.6954
+[2024-05-21 20:40:37,198 INFO] Epoch:8, Snapshot: 42; Loss: 0.6974
+[2024-05-21 20:40:43,073 INFO] Epoch:8, Snapshot: 43; Loss: 0.6974
+[2024-05-21 20:40:48,858 INFO] Epoch:8, Snapshot: 44; Loss: 0.6912
+[2024-05-21 20:40:54,782 INFO] Epoch:8, Snapshot: 45; Loss: 0.6952
+[2024-05-21 20:41:00,970 INFO] Epoch:8, Snapshot: 46; Loss: 0.6975
+[2024-05-21 20:41:06,657 INFO] Epoch:8, Snapshot: 47; Loss: 0.6971
+[2024-05-21 20:41:12,689 INFO] Epoch:8, Snapshot: 48; Loss: 0.6972
+[2024-05-21 20:41:18,206 INFO] Epoch:8, Snapshot: 49; Loss: 0.6927
+[2024-05-21 20:41:23,942 INFO] Epoch:8, Snapshot: 50; Loss: 0.6948
+[2024-05-21 20:41:30,009 INFO] Epoch:8, Snapshot: 51; Loss: 0.6950
+[2024-05-21 20:41:35,870 INFO] Epoch:8, Snapshot: 52; Loss: 0.6968
+[2024-05-21 20:41:41,944 INFO] Epoch:8, Snapshot: 53; Loss: 0.6942
+[2024-05-21 20:41:47,858 INFO] Epoch:8, Snapshot: 54; Loss: 0.6958
+[2024-05-21 20:41:53,453 INFO] Epoch:8, Snapshot: 55; Loss: 0.6921
+[2024-05-21 20:41:59,096 INFO] Epoch:8, Snapshot: 56; Loss: 0.6941
+[2024-05-21 20:42:04,519 INFO] Epoch:8, Snapshot: 57; Loss: 0.6925
+[2024-05-21 20:42:10,069 INFO] Epoch:8, Snapshot: 58; Loss: 0.6942
+[2024-05-21 20:42:16,195 INFO] Epoch:8, Snapshot: 59; Loss: 0.6905
+[2024-05-21 20:42:22,105 INFO] Epoch:8, Snapshot: 60; Loss: 0.6938
+[2024-05-21 20:42:28,341 INFO] Epoch:8, Snapshot: 61; Loss: 0.6968
+[2024-05-21 20:42:34,546 INFO] Epoch:8, Snapshot: 62; Loss: 0.6952
+[2024-05-21 20:42:41,079 INFO] Epoch:8, Snapshot: 63; Loss: 0.6947
+[2024-05-21 20:42:47,239 INFO] Epoch:8, Snapshot: 64; Loss: 0.6966
+[2024-06-01 22:38:49,601 INFO] fixed random seed
+[2024-06-01 22:39:27,019 INFO] fixed random seed
+[2024-06-01 22:39:30,630 INFO] Epoch:1, Snapshot: 0; Loss: 1.9316
+[2024-06-01 22:39:35,620 INFO] Epoch:1, Snapshot: 1; Loss: 1.4120
+[2024-06-01 22:39:42,512 INFO] Epoch:1, Snapshot: 2; Loss: 0.9297
+[2024-06-01 22:39:49,311 INFO] Epoch:1, Snapshot: 3; Loss: 0.8192
+[2024-06-01 22:39:55,939 INFO] Epoch:1, Snapshot: 4; Loss: 0.8225
+[2024-06-01 22:40:02,629 INFO] Epoch:1, Snapshot: 5; Loss: 0.8566
+[2024-06-01 22:40:09,532 INFO] Epoch:1, Snapshot: 6; Loss: 0.8041
+[2024-06-01 22:40:16,148 INFO] Epoch:1, Snapshot: 7; Loss: 0.8097
+[2024-06-01 22:40:22,790 INFO] Epoch:1, Snapshot: 8; Loss: 0.7207
+[2024-06-01 22:40:29,855 INFO] Epoch:1, Snapshot: 9; Loss: 0.7453
+[2024-06-01 22:40:36,544 INFO] Epoch:1, Snapshot: 10; Loss: 0.7574
+[2024-06-01 22:40:43,326 INFO] Epoch:1, Snapshot: 11; Loss: 0.7485
+[2024-06-01 22:40:50,016 INFO] Epoch:1, Snapshot: 12; Loss: 0.7444
+[2024-06-01 22:40:56,783 INFO] Epoch:1, Snapshot: 13; Loss: 0.7628
+[2024-06-01 22:41:03,456 INFO] Epoch:1, Snapshot: 14; Loss: 0.7329
+[2024-06-01 22:41:10,207 INFO] Epoch:1, Snapshot: 15; Loss: 0.7051
+[2024-06-01 22:41:16,818 INFO] Epoch:1, Snapshot: 16; Loss: 0.7223
+[2024-06-01 22:41:23,559 INFO] Epoch:1, Snapshot: 17; Loss: 0.7192
+[2024-06-01 22:41:29,801 INFO] Epoch:1, Snapshot: 18; Loss: 0.7095
+[2024-06-01 22:41:36,467 INFO] Epoch:1, Snapshot: 19; Loss: 0.7101
+[2024-06-01 22:41:44,575 INFO] Epoch:1, Snapshot: 20; Loss: 0.7078
+[2024-06-01 22:41:52,286 INFO] Epoch:1, Snapshot: 21; Loss: 0.7043
+[2024-06-01 22:42:00,277 INFO] Epoch:1, Snapshot: 22; Loss: 0.7072
+[2024-06-01 22:42:07,350 INFO] Epoch:1, Snapshot: 23; Loss: 0.7017
+[2024-06-01 22:42:15,009 INFO] Epoch:1, Snapshot: 24; Loss: 0.7010
+[2024-06-01 22:42:22,968 INFO] Epoch:1, Snapshot: 25; Loss: 0.7021
+[2024-06-01 22:42:26,803 INFO] Epoch:1, Snapshot: 26; Loss: 0.7073
+[2024-06-01 22:42:33,275 INFO] Epoch:1, Snapshot: 27; Loss: 0.7007
+[2024-06-01 22:42:38,043 INFO] Epoch:1, Snapshot: 28; Loss: 0.7024
+[2024-06-01 22:42:42,107 INFO] Epoch:1, Snapshot: 29; Loss: 0.7015
+[2024-06-01 22:42:45,654 INFO] Epoch:1, Snapshot: 30; Loss: 0.7074
+[2024-06-01 22:42:51,486 INFO] Epoch:1, Snapshot: 31; Loss: 0.7002
+[2024-06-01 22:42:56,957 INFO] Epoch:1, Snapshot: 32; Loss: 0.6996
+[2024-06-01 22:43:02,286 INFO] Epoch:1, Snapshot: 33; Loss: 0.6967
+[2024-06-01 22:43:07,619 INFO] Epoch:1, Snapshot: 34; Loss: 0.7021
+[2024-06-01 22:43:13,042 INFO] Epoch:1, Snapshot: 35; Loss: 0.7005
+[2024-06-01 22:43:18,810 INFO] Epoch:1, Snapshot: 36; Loss: 0.6992
+[2024-06-01 22:43:24,750 INFO] Epoch:1, Snapshot: 37; Loss: 0.6956
+[2024-06-01 22:43:30,456 INFO] Epoch:1, Snapshot: 38; Loss: 0.6976
+[2024-06-01 22:43:35,674 INFO] Epoch:1, Snapshot: 39; Loss: 0.6986
+[2024-06-01 22:43:41,161 INFO] Epoch:1, Snapshot: 40; Loss: 0.6982
+[2024-06-01 22:43:46,351 INFO] Epoch:1, Snapshot: 41; Loss: 0.6948
+[2024-06-01 22:43:52,119 INFO] Epoch:1, Snapshot: 42; Loss: 0.6989
+[2024-06-01 22:43:57,260 INFO] Epoch:1, Snapshot: 43; Loss: 0.6975
+[2024-06-01 22:44:02,637 INFO] Epoch:1, Snapshot: 44; Loss: 0.6934
+[2024-06-01 22:44:08,203 INFO] Epoch:1, Snapshot: 45; Loss: 0.6950
+[2024-06-01 22:44:14,066 INFO] Epoch:1, Snapshot: 46; Loss: 0.6956
+[2024-06-01 22:44:19,474 INFO] Epoch:1, Snapshot: 47; Loss: 0.6987
+[2024-06-01 22:44:25,083 INFO] Epoch:1, Snapshot: 48; Loss: 0.6978
+[2024-06-01 22:44:30,975 INFO] Epoch:1, Snapshot: 49; Loss: 0.6941
+[2024-06-01 22:44:36,680 INFO] Epoch:1, Snapshot: 50; Loss: 0.6956
+[2024-06-01 22:44:42,354 INFO] Epoch:1, Snapshot: 51; Loss: 0.6917
+[2024-06-01 22:44:48,185 INFO] Epoch:1, Snapshot: 52; Loss: 0.6912
+[2024-06-01 22:44:54,159 INFO] Epoch:1, Snapshot: 53; Loss: 0.6939
+[2024-06-01 22:44:59,928 INFO] Epoch:1, Snapshot: 54; Loss: 0.6949
+[2024-06-01 22:45:05,822 INFO] Epoch:1, Snapshot: 55; Loss: 0.6957
+[2024-06-01 22:45:11,481 INFO] Epoch:1, Snapshot: 56; Loss: 0.6936
+[2024-06-01 22:45:16,623 INFO] Epoch:1, Snapshot: 57; Loss: 0.6948
+[2024-06-01 22:45:21,906 INFO] Epoch:1, Snapshot: 58; Loss: 0.6952
+[2024-06-01 22:45:27,611 INFO] Epoch:1, Snapshot: 59; Loss: 0.6939
+[2024-06-01 22:45:33,067 INFO] Epoch:1, Snapshot: 60; Loss: 0.6949
+[2024-06-01 22:45:39,038 INFO] Epoch:1, Snapshot: 61; Loss: 0.6947
+[2024-06-01 22:45:45,024 INFO] Epoch:1, Snapshot: 62; Loss: 0.6943
+[2024-06-01 22:45:51,104 INFO] Epoch:1, Snapshot: 63; Loss: 0.6959
+[2024-06-01 22:45:56,967 INFO] Epoch:1, Snapshot: 64; Loss: 0.6969
+[2024-06-01 22:46:02,828 INFO] Epoch:1, Snapshot: 65; Loss: 0.6930
+[2024-06-01 22:46:08,844 INFO] Epoch:1, Snapshot: 66; Loss: 0.6929
+[2024-06-01 22:46:14,410 INFO] Epoch:1, Snapshot: 67; Loss: 0.6941
+[2024-06-01 22:46:19,708 INFO] Epoch:1, Snapshot: 68; Loss: 0.6953
+[2024-06-01 22:46:25,506 INFO] Epoch:1, Snapshot: 69; Loss: 0.6954
+[2024-06-01 22:46:31,460 INFO] Epoch:1, Snapshot: 70; Loss: 0.6930
+[2024-06-01 22:46:36,727 INFO] Epoch:1, Snapshot: 71; Loss: 0.6969
+[2024-06-01 22:46:42,073 INFO] Epoch:1, Snapshot: 72; Loss: 0.6942
+[2024-06-01 22:46:47,513 INFO] Epoch:1, Snapshot: 73; Loss: 0.6953
+[2024-06-01 22:46:53,140 INFO] Epoch:1, Snapshot: 74; Loss: 0.6953
+[2024-06-01 22:46:58,891 INFO] Epoch:1, Snapshot: 75; Loss: 0.6956
+[2024-06-01 22:47:04,490 INFO] Epoch:1, Snapshot: 76; Loss: 0.6968
+[2024-06-01 22:47:10,258 INFO] Epoch:1, Snapshot: 77; Loss: 0.6943
+[2024-06-01 22:47:15,730 INFO] Epoch:1, Snapshot: 78; Loss: 0.6936
+[2024-06-01 22:47:21,639 INFO] Epoch:1, Snapshot: 79; Loss: 0.6948
+[2024-06-01 22:47:27,940 INFO] Epoch:1, Snapshot: 80; Loss: 0.6949
+[2024-06-01 22:47:33,723 INFO] Epoch:1, Snapshot: 81; Loss: 0.6962
+[2024-06-01 22:47:39,274 INFO] Epoch:1, Snapshot: 82; Loss: 0.6951
+[2024-06-01 22:47:45,293 INFO] Epoch:1, Snapshot: 83; Loss: 0.6928
+[2024-06-01 22:47:51,015 INFO] Epoch:1, Snapshot: 84; Loss: 0.6914
+[2024-06-01 22:47:56,783 INFO] Epoch:1, Snapshot: 85; Loss: 0.6922
+[2024-06-01 22:48:02,598 INFO] Epoch:1, Snapshot: 86; Loss: 0.6957
+[2024-06-01 22:49:23,207 INFO] ==========================================================================================
+[2024-06-01 22:49:23,207 INFO] Epoch:1, Loss: 0.7340, Time: 596.189, GPU: 792.7MiB
+[2024-06-01 22:49:23,207 INFO] Epoch:1, F1: 0.6644; Accuracy: 0.4979; Precision: 0.4979; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-01 22:49:30,115 INFO] Epoch:2, Snapshot: 0; Loss: 0.8520
+[2024-06-01 22:49:36,680 INFO] Epoch:2, Snapshot: 1; Loss: 0.6924
+[2024-06-01 22:55:22,276 INFO] fixed random seed
+[2024-06-01 22:55:25,824 INFO] Epoch:1, Snapshot: 0; Loss: 2.1026
+[2024-06-01 22:55:30,438 INFO] Epoch:1, Snapshot: 1; Loss: 2.0194
+[2024-06-01 22:55:34,422 INFO] Epoch:1, Snapshot: 2; Loss: 1.1277
+[2024-06-01 22:55:40,480 INFO] Epoch:1, Snapshot: 3; Loss: 0.9197
+[2024-06-01 22:55:46,169 INFO] Epoch:1, Snapshot: 4; Loss: 0.8660
+[2024-06-01 22:55:54,094 INFO] Epoch:1, Snapshot: 5; Loss: 0.7992
+[2024-06-01 22:56:02,724 INFO] Epoch:1, Snapshot: 6; Loss: 0.7357
+[2024-06-01 22:56:10,804 INFO] Epoch:1, Snapshot: 7; Loss: 0.7293
+[2024-06-01 22:56:21,074 INFO] Epoch:1, Snapshot: 8; Loss: 0.7447
+[2024-06-01 22:56:32,008 INFO] Epoch:1, Snapshot: 9; Loss: 0.7834
+[2024-06-01 22:56:40,036 INFO] Epoch:1, Snapshot: 10; Loss: 0.7665
+[2024-06-01 22:56:47,757 INFO] Epoch:1, Snapshot: 11; Loss: 0.7354
+[2024-06-01 22:56:53,915 INFO] Epoch:1, Snapshot: 12; Loss: 0.7188
+[2024-06-01 22:57:03,200 INFO] Epoch:1, Snapshot: 13; Loss: 0.7129
+[2024-06-01 22:57:12,284 INFO] Epoch:1, Snapshot: 14; Loss: 0.7292
+[2024-06-01 22:57:21,473 INFO] Epoch:1, Snapshot: 15; Loss: 0.7109
+[2024-06-01 22:57:31,043 INFO] Epoch:1, Snapshot: 16; Loss: 0.7231
+[2024-06-01 22:57:37,217 INFO] Epoch:1, Snapshot: 17; Loss: 0.7139
+[2024-06-01 22:57:42,744 INFO] Epoch:1, Snapshot: 18; Loss: 0.7164
+[2024-06-01 22:57:49,544 INFO] Epoch:1, Snapshot: 19; Loss: 0.7105
+[2024-06-01 22:57:55,052 INFO] Epoch:1, Snapshot: 20; Loss: 0.6999
+[2024-06-01 22:57:59,391 INFO] Epoch:1, Snapshot: 21; Loss: 0.7139
+[2024-06-01 22:58:06,787 INFO] Epoch:1, Snapshot: 22; Loss: 0.7071
+[2024-06-01 22:58:12,258 INFO] Epoch:1, Snapshot: 23; Loss: 0.7057
+[2024-06-01 22:58:20,170 INFO] Epoch:1, Snapshot: 24; Loss: 0.7121
+[2024-06-01 22:58:27,287 INFO] Epoch:1, Snapshot: 25; Loss: 0.7055
+[2024-06-01 22:58:35,865 INFO] Epoch:1, Snapshot: 26; Loss: 0.7077
+[2024-06-01 22:58:44,213 INFO] Epoch:1, Snapshot: 27; Loss: 0.6985
+[2024-06-01 22:58:52,198 INFO] Epoch:1, Snapshot: 28; Loss: 0.6972
+[2024-06-01 22:59:00,370 INFO] Epoch:1, Snapshot: 29; Loss: 0.7007
+[2024-06-01 22:59:06,382 INFO] Epoch:1, Snapshot: 30; Loss: 0.7007
+[2024-06-01 22:59:13,791 INFO] Epoch:1, Snapshot: 31; Loss: 0.7048
+[2024-06-01 22:59:20,513 INFO] Epoch:1, Snapshot: 32; Loss: 0.6994
+[2024-06-01 22:59:29,270 INFO] Epoch:1, Snapshot: 33; Loss: 0.7004
+[2024-06-01 22:59:36,304 INFO] Epoch:1, Snapshot: 34; Loss: 0.6977
+[2024-06-01 22:59:44,401 INFO] Epoch:1, Snapshot: 35; Loss: 0.6993
+[2024-06-01 22:59:52,185 INFO] Epoch:1, Snapshot: 36; Loss: 0.7020
+[2024-06-01 22:59:59,783 INFO] Epoch:1, Snapshot: 37; Loss: 0.7001
+[2024-06-01 23:00:07,349 INFO] Epoch:1, Snapshot: 38; Loss: 0.6980
+[2024-06-01 23:00:13,339 INFO] Epoch:1, Snapshot: 39; Loss: 0.6945
+[2024-06-01 23:00:20,920 INFO] Epoch:1, Snapshot: 40; Loss: 0.6992
+[2024-06-01 23:00:26,828 INFO] Epoch:1, Snapshot: 41; Loss: 0.6983
+[2024-06-01 23:00:34,548 INFO] Epoch:1, Snapshot: 42; Loss: 0.6981
+[2024-06-01 23:00:40,824 INFO] Epoch:1, Snapshot: 43; Loss: 0.6954
+[2024-06-01 23:00:49,025 INFO] Epoch:1, Snapshot: 44; Loss: 0.6973
+[2024-06-01 23:00:57,102 INFO] Epoch:1, Snapshot: 45; Loss: 0.6987
+[2024-06-01 23:01:04,661 INFO] Epoch:1, Snapshot: 46; Loss: 0.6965
+[2024-06-01 23:01:13,488 INFO] Epoch:1, Snapshot: 47; Loss: 0.6966
+[2024-06-01 23:01:20,386 INFO] Epoch:1, Snapshot: 48; Loss: 0.6965
+[2024-06-01 23:01:28,903 INFO] Epoch:1, Snapshot: 49; Loss: 0.6962
+[2024-06-01 23:01:36,170 INFO] Epoch:1, Snapshot: 50; Loss: 0.6960
+[2024-06-01 23:01:42,039 INFO] Epoch:1, Snapshot: 51; Loss: 0.6955
+[2024-06-01 23:01:48,337 INFO] Epoch:1, Snapshot: 52; Loss: 0.6956
+[2024-06-01 23:01:55,359 INFO] Epoch:1, Snapshot: 53; Loss: 0.6962
+[2024-06-01 23:02:03,159 INFO] Epoch:1, Snapshot: 54; Loss: 0.6950
+[2024-06-01 23:02:09,482 INFO] Epoch:1, Snapshot: 55; Loss: 0.6967
+[2024-06-01 23:02:17,025 INFO] Epoch:1, Snapshot: 56; Loss: 0.6949
+[2024-06-01 23:02:22,870 INFO] Epoch:1, Snapshot: 57; Loss: 0.6953
+[2024-06-01 23:02:30,544 INFO] Epoch:1, Snapshot: 58; Loss: 0.6966
+[2024-06-01 23:02:38,663 INFO] Epoch:1, Snapshot: 59; Loss: 0.6980
+[2024-06-01 23:02:44,535 INFO] Epoch:1, Snapshot: 60; Loss: 0.6961
+[2024-06-01 23:02:53,318 INFO] Epoch:1, Snapshot: 61; Loss: 0.6941
+[2024-06-01 23:02:59,747 INFO] Epoch:1, Snapshot: 62; Loss: 0.6942
+[2024-06-01 23:03:08,953 INFO] Epoch:1, Snapshot: 63; Loss: 0.6946
+[2024-06-01 23:03:16,405 INFO] Epoch:1, Snapshot: 64; Loss: 0.6938
+[2024-06-01 23:03:24,206 INFO] Epoch:1, Snapshot: 65; Loss: 0.6947
+[2024-06-01 23:03:32,937 INFO] Epoch:1, Snapshot: 66; Loss: 0.6975
+[2024-06-01 23:03:39,940 INFO] Epoch:1, Snapshot: 67; Loss: 0.6947
+[2024-06-01 23:03:48,718 INFO] Epoch:1, Snapshot: 68; Loss: 0.6951
+[2024-06-01 23:03:56,779 INFO] Epoch:1, Snapshot: 69; Loss: 0.6947
+[2024-06-01 23:04:02,796 INFO] Epoch:1, Snapshot: 70; Loss: 0.6957
+[2024-06-01 23:04:11,309 INFO] Epoch:1, Snapshot: 71; Loss: 0.6963
+[2024-06-01 23:04:17,664 INFO] Epoch:1, Snapshot: 72; Loss: 0.6970
+[2024-06-01 23:04:26,170 INFO] Epoch:1, Snapshot: 73; Loss: 0.6974
+[2024-06-01 23:04:33,270 INFO] Epoch:1, Snapshot: 74; Loss: 0.6940
+[2024-06-01 23:04:41,027 INFO] Epoch:1, Snapshot: 75; Loss: 0.6938
+[2024-06-01 23:04:49,166 INFO] Epoch:1, Snapshot: 76; Loss: 0.6947
+[2024-06-01 23:04:56,917 INFO] Epoch:1, Snapshot: 77; Loss: 0.6956
+[2024-06-01 23:05:04,434 INFO] Epoch:1, Snapshot: 78; Loss: 0.6959
+[2024-06-01 23:05:11,374 INFO] Epoch:1, Snapshot: 79; Loss: 0.6950
+[2024-06-01 23:05:18,547 INFO] Epoch:1, Snapshot: 80; Loss: 0.6946
+[2024-06-01 23:05:27,270 INFO] Epoch:1, Snapshot: 81; Loss: 0.6948
+[2024-06-01 23:05:34,506 INFO] Epoch:1, Snapshot: 82; Loss: 0.6927
+[2024-06-01 23:05:42,116 INFO] Epoch:1, Snapshot: 83; Loss: 0.6953
+[2024-06-01 23:05:48,695 INFO] Epoch:1, Snapshot: 84; Loss: 0.6952
+[2024-06-01 23:05:56,558 INFO] Epoch:1, Snapshot: 85; Loss: 0.6953
+[2024-06-01 23:06:04,530 INFO] Epoch:1, Snapshot: 86; Loss: 0.6944
+[2024-06-01 23:07:24,526 INFO] ==========================================================================================
+[2024-06-01 23:07:24,526 INFO] Epoch:1, Loss: 0.7449, Time: 722.249, GPU: 792.7MiB
+[2024-06-01 23:07:24,526 INFO] Epoch:1, F1: 0.0000; Accuracy: 0.5021; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-06-01 23:07:29,746 INFO] Epoch:2, Snapshot: 0; Loss: 0.8540
+[2024-06-01 23:07:36,668 INFO] Epoch:2, Snapshot: 1; Loss: 0.6958
+[2024-06-01 23:07:43,325 INFO] Epoch:2, Snapshot: 2; Loss: 0.6958
+[2024-06-01 23:07:50,760 INFO] Epoch:2, Snapshot: 3; Loss: 0.6936
+[2024-06-01 23:07:56,330 INFO] Epoch:2, Snapshot: 4; Loss: 0.6934
+[2024-06-01 23:08:04,912 INFO] Epoch:2, Snapshot: 5; Loss: 0.6950
+[2024-06-01 23:08:11,451 INFO] Epoch:2, Snapshot: 6; Loss: 0.6941
+[2024-06-01 23:08:20,171 INFO] Epoch:2, Snapshot: 7; Loss: 0.6946
+[2024-06-01 23:08:26,124 INFO] Epoch:2, Snapshot: 8; Loss: 0.6931
+[2024-06-01 23:08:34,540 INFO] Epoch:2, Snapshot: 9; Loss: 0.6958
+[2024-06-01 23:08:42,086 INFO] Epoch:2, Snapshot: 10; Loss: 0.6930
+[2024-06-01 23:08:49,711 INFO] Epoch:2, Snapshot: 11; Loss: 0.6955
+[2024-06-01 23:08:57,664 INFO] Epoch:2, Snapshot: 12; Loss: 0.6949
+[2024-06-01 23:09:04,753 INFO] Epoch:2, Snapshot: 13; Loss: 0.6964
+[2024-06-01 23:09:12,361 INFO] Epoch:2, Snapshot: 14; Loss: 0.6941
+[2024-06-01 23:09:18,981 INFO] Epoch:2, Snapshot: 15; Loss: 0.6967
+[2024-06-01 23:09:26,368 INFO] Epoch:2, Snapshot: 16; Loss: 0.6925
+[2024-06-01 23:09:32,503 INFO] Epoch:2, Snapshot: 17; Loss: 0.6935
+[2024-06-01 23:09:40,690 INFO] Epoch:2, Snapshot: 18; Loss: 0.6931
+[2024-06-01 23:09:47,358 INFO] Epoch:2, Snapshot: 19; Loss: 0.6929
+[2024-06-01 23:09:55,295 INFO] Epoch:2, Snapshot: 20; Loss: 0.6915
+[2024-06-01 23:10:02,918 INFO] Epoch:2, Snapshot: 21; Loss: 0.6947
+[2024-06-01 23:10:11,225 INFO] Epoch:2, Snapshot: 22; Loss: 0.6917
+[2024-06-01 23:10:19,074 INFO] Epoch:2, Snapshot: 23; Loss: 0.6926
+[2024-06-01 23:10:26,384 INFO] Epoch:2, Snapshot: 24; Loss: 0.6943
+[2024-06-01 23:10:35,765 INFO] Epoch:2, Snapshot: 25; Loss: 0.6929
+[2024-06-01 23:10:42,101 INFO] Epoch:2, Snapshot: 26; Loss: 0.6940
+[2024-06-01 23:10:50,478 INFO] Epoch:2, Snapshot: 27; Loss: 0.6950
+[2024-06-01 23:10:56,987 INFO] Epoch:2, Snapshot: 28; Loss: 0.6941
+[2024-06-01 23:11:05,442 INFO] Epoch:2, Snapshot: 29; Loss: 0.6930
+[2024-06-01 23:11:12,862 INFO] Epoch:2, Snapshot: 30; Loss: 0.6946
+[2024-06-01 23:11:20,485 INFO] Epoch:2, Snapshot: 31; Loss: 0.6950
+[2024-06-01 23:11:28,423 INFO] Epoch:2, Snapshot: 32; Loss: 0.6922
+[2024-06-01 23:11:35,498 INFO] Epoch:2, Snapshot: 33; Loss: 0.6956
+[2024-06-01 23:11:43,737 INFO] Epoch:2, Snapshot: 34; Loss: 0.6940
+[2024-06-01 23:11:50,051 INFO] Epoch:2, Snapshot: 35; Loss: 0.6935
+[2024-06-01 23:11:57,444 INFO] Epoch:2, Snapshot: 36; Loss: 0.6960
+[2024-06-01 23:12:04,346 INFO] Epoch:2, Snapshot: 37; Loss: 0.6964
+[2024-06-01 23:12:11,701 INFO] Epoch:2, Snapshot: 38; Loss: 0.6951
+[2024-06-01 23:12:18,636 INFO] Epoch:2, Snapshot: 39; Loss: 0.6928
+[2024-06-01 23:12:27,672 INFO] Epoch:2, Snapshot: 40; Loss: 0.6948
+[2024-06-01 23:12:35,201 INFO] Epoch:2, Snapshot: 41; Loss: 0.6930
+[2024-06-01 23:12:42,748 INFO] Epoch:2, Snapshot: 42; Loss: 0.6931
+[2024-06-01 23:12:51,060 INFO] Epoch:2, Snapshot: 43; Loss: 0.6924
+[2024-06-01 23:12:57,288 INFO] Epoch:2, Snapshot: 44; Loss: 0.6954
+[2024-06-01 23:13:06,623 INFO] Epoch:2, Snapshot: 45; Loss: 0.6951
+[2024-06-01 23:13:13,020 INFO] Epoch:2, Snapshot: 46; Loss: 0.6936
+[2024-06-01 23:13:20,925 INFO] Epoch:2, Snapshot: 47; Loss: 0.6929
+[2024-06-01 23:13:28,030 INFO] Epoch:2, Snapshot: 48; Loss: 0.6926
+[2024-06-01 23:13:36,049 INFO] Epoch:2, Snapshot: 49; Loss: 0.6945
+[2024-06-01 23:13:43,531 INFO] Epoch:2, Snapshot: 50; Loss: 0.6927
+[2024-06-01 23:13:50,871 INFO] Epoch:2, Snapshot: 51; Loss: 0.6934
+[2024-06-01 23:13:58,683 INFO] Epoch:2, Snapshot: 52; Loss: 0.6944
+[2024-06-01 23:14:04,394 INFO] Epoch:2, Snapshot: 53; Loss: 0.6945
+[2024-06-01 23:14:13,554 INFO] Epoch:2, Snapshot: 54; Loss: 0.6928
+[2024-06-01 23:14:20,362 INFO] Epoch:2, Snapshot: 55; Loss: 0.6948
+[2024-06-01 23:14:28,158 INFO] Epoch:2, Snapshot: 56; Loss: 0.6937
+[2024-06-01 23:14:35,168 INFO] Epoch:2, Snapshot: 57; Loss: 0.6945
+[2024-06-01 23:14:43,012 INFO] Epoch:2, Snapshot: 58; Loss: 0.6938
+[2024-06-01 23:14:50,307 INFO] Epoch:2, Snapshot: 59; Loss: 0.6951
+[2024-06-01 23:14:58,322 INFO] Epoch:2, Snapshot: 60; Loss: 0.6943
+[2024-06-01 23:15:05,977 INFO] Epoch:2, Snapshot: 61; Loss: 0.6933
+[2024-06-01 23:15:13,552 INFO] Epoch:2, Snapshot: 62; Loss: 0.6929
+[2024-06-01 23:15:22,133 INFO] Epoch:2, Snapshot: 63; Loss: 0.6938
+[2024-06-01 23:15:29,883 INFO] Epoch:2, Snapshot: 64; Loss: 0.6932
+[2024-06-01 23:15:37,050 INFO] Epoch:2, Snapshot: 65; Loss: 0.6927
+[2024-06-01 23:15:45,427 INFO] Epoch:2, Snapshot: 66; Loss: 0.6957
+[2024-06-01 23:15:51,013 INFO] Epoch:2, Snapshot: 67; Loss: 0.6937
+[2024-06-01 23:15:59,403 INFO] Epoch:2, Snapshot: 68; Loss: 0.6934
+[2024-06-01 23:16:05,616 INFO] Epoch:2, Snapshot: 69; Loss: 0.6937
+[2024-06-01 23:16:14,464 INFO] Epoch:2, Snapshot: 70; Loss: 0.6945
+[2024-06-01 23:16:20,346 INFO] Epoch:2, Snapshot: 71; Loss: 0.6934
+[2024-06-01 23:16:28,846 INFO] Epoch:2, Snapshot: 72; Loss: 0.6930
+[2024-06-01 23:16:36,450 INFO] Epoch:2, Snapshot: 73; Loss: 0.6923
+[2024-06-01 23:16:44,816 INFO] Epoch:2, Snapshot: 74; Loss: 0.6923
+[2024-06-01 23:16:52,893 INFO] Epoch:2, Snapshot: 75; Loss: 0.6925
+[2024-06-01 23:16:59,941 INFO] Epoch:2, Snapshot: 76; Loss: 0.6933
+[2024-06-01 23:17:08,065 INFO] Epoch:2, Snapshot: 77; Loss: 0.6940
+[2024-06-01 23:17:14,795 INFO] Epoch:2, Snapshot: 78; Loss: 0.6955
+[2024-06-01 23:17:22,780 INFO] Epoch:2, Snapshot: 79; Loss: 0.6946
+[2024-06-01 23:17:29,617 INFO] Epoch:2, Snapshot: 80; Loss: 0.6935
+[2024-06-01 23:17:37,730 INFO] Epoch:2, Snapshot: 81; Loss: 0.6945
+[2024-06-01 23:17:45,634 INFO] Epoch:2, Snapshot: 82; Loss: 0.6922
+[2024-06-01 23:17:51,659 INFO] Epoch:2, Snapshot: 83; Loss: 0.6942
+[2024-06-01 23:17:59,846 INFO] Epoch:2, Snapshot: 84; Loss: 0.6942
+[2024-06-01 23:18:07,375 INFO] Epoch:2, Snapshot: 85; Loss: 0.6947
+[2024-06-01 23:18:14,983 INFO] Epoch:2, Snapshot: 86; Loss: 0.6943
+[2024-06-01 23:19:33,932 INFO] ==========================================================================================
+[2024-06-01 23:19:33,932 INFO] Epoch:2, Loss: 0.6958, Time: 729.407, GPU: 792.7MiB
+[2024-06-01 23:19:33,932 INFO] Epoch:2, F1: 0.0000; Accuracy: 0.5021; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-06-01 23:19:38,891 INFO] Epoch:3, Snapshot: 0; Loss: 0.8513
+[2024-06-01 23:19:47,611 INFO] Epoch:3, Snapshot: 1; Loss: 0.6951
+[2024-06-01 23:19:54,108 INFO] Epoch:3, Snapshot: 2; Loss: 0.6947
+[2024-06-01 23:20:02,659 INFO] Epoch:3, Snapshot: 3; Loss: 0.6924
+[2024-06-01 23:20:09,493 INFO] Epoch:3, Snapshot: 4; Loss: 0.6926
+[2024-06-01 23:20:18,043 INFO] Epoch:3, Snapshot: 5; Loss: 0.6941
+[2024-06-01 23:20:26,074 INFO] Epoch:3, Snapshot: 6; Loss: 0.6938
+[2024-06-01 23:20:33,228 INFO] Epoch:3, Snapshot: 7; Loss: 0.6941
+[2024-06-01 23:20:41,808 INFO] Epoch:3, Snapshot: 8; Loss: 0.6929
+[2024-06-01 23:20:48,850 INFO] Epoch:3, Snapshot: 9; Loss: 0.6949
+[2024-06-01 23:20:58,120 INFO] Epoch:3, Snapshot: 10; Loss: 0.6922
+[2024-06-01 23:21:03,818 INFO] Epoch:3, Snapshot: 11; Loss: 0.6948
+[2024-06-01 23:21:12,056 INFO] Epoch:3, Snapshot: 12; Loss: 0.6945
+[2024-06-01 23:21:19,253 INFO] Epoch:3, Snapshot: 13; Loss: 0.6948
+[2024-06-01 23:21:27,755 INFO] Epoch:3, Snapshot: 14; Loss: 0.6928
+[2024-06-01 23:21:35,486 INFO] Epoch:3, Snapshot: 15; Loss: 0.6959
+[2024-06-01 23:21:42,311 INFO] Epoch:3, Snapshot: 16; Loss: 0.6922
+[2024-06-01 23:21:51,315 INFO] Epoch:3, Snapshot: 17; Loss: 0.6930
+[2024-06-01 23:21:57,041 INFO] Epoch:3, Snapshot: 18; Loss: 0.6929
+[2024-06-01 23:22:04,255 INFO] Epoch:3, Snapshot: 19; Loss: 0.6932
+[2024-06-01 23:22:09,763 INFO] Epoch:3, Snapshot: 20; Loss: 0.6912
+[2024-06-01 23:22:18,122 INFO] Epoch:3, Snapshot: 21; Loss: 0.6947
+[2024-06-01 23:22:23,597 INFO] Epoch:3, Snapshot: 22; Loss: 0.6911
+[2024-06-01 23:22:32,462 INFO] Epoch:3, Snapshot: 23; Loss: 0.6925
+[2024-06-01 23:22:38,141 INFO] Epoch:3, Snapshot: 24; Loss: 0.6939
+[2024-06-01 23:22:47,003 INFO] Epoch:3, Snapshot: 25; Loss: 0.6924
+[2024-06-01 23:22:53,449 INFO] Epoch:3, Snapshot: 26; Loss: 0.6938
+[2024-06-01 23:23:00,635 INFO] Epoch:3, Snapshot: 27; Loss: 0.6951
+[2024-06-01 23:23:06,548 INFO] Epoch:3, Snapshot: 28; Loss: 0.6934
+[2024-06-01 23:23:14,987 INFO] Epoch:3, Snapshot: 29; Loss: 0.6921
+[2024-06-01 23:23:21,967 INFO] Epoch:3, Snapshot: 30; Loss: 0.6941
+[2024-06-01 23:23:30,318 INFO] Epoch:3, Snapshot: 31; Loss: 0.6946
+[2024-06-01 23:23:37,684 INFO] Epoch:3, Snapshot: 32; Loss: 0.6920
+[2024-06-01 23:23:45,684 INFO] Epoch:3, Snapshot: 33; Loss: 0.6953
+[2024-06-01 23:23:53,920 INFO] Epoch:3, Snapshot: 34; Loss: 0.6929
+[2024-06-01 23:24:02,422 INFO] Epoch:3, Snapshot: 35; Loss: 0.6933
+[2024-06-01 23:24:11,128 INFO] Epoch:3, Snapshot: 36; Loss: 0.6957
+[2024-06-01 23:24:17,543 INFO] Epoch:3, Snapshot: 37; Loss: 0.6962
+[2024-06-01 23:24:27,050 INFO] Epoch:3, Snapshot: 38; Loss: 0.6949
+[2024-06-01 23:24:32,430 INFO] Epoch:3, Snapshot: 39; Loss: 0.6927
+[2024-06-01 23:24:40,493 INFO] Epoch:3, Snapshot: 40; Loss: 0.6944
+[2024-06-01 23:24:47,161 INFO] Epoch:3, Snapshot: 41; Loss: 0.6923
+[2024-06-01 23:24:55,176 INFO] Epoch:3, Snapshot: 42; Loss: 0.6929
+[2024-06-01 23:25:01,717 INFO] Epoch:3, Snapshot: 43; Loss: 0.6921
+[2024-06-01 23:25:08,963 INFO] Epoch:3, Snapshot: 44; Loss: 0.6949
+[2024-06-01 23:25:15,097 INFO] Epoch:3, Snapshot: 45; Loss: 0.6947
+[2024-06-01 23:25:22,689 INFO] Epoch:3, Snapshot: 46; Loss: 0.6937
+[2024-06-01 23:25:29,545 INFO] Epoch:3, Snapshot: 47; Loss: 0.6924
+[2024-06-01 23:25:36,918 INFO] Epoch:3, Snapshot: 48; Loss: 0.6925
+[2024-06-01 23:25:45,230 INFO] Epoch:3, Snapshot: 49; Loss: 0.6939
+[2024-06-01 23:25:50,914 INFO] Epoch:3, Snapshot: 50; Loss: 0.6923
+[2024-06-01 23:25:59,287 INFO] Epoch:3, Snapshot: 51; Loss: 0.6934
+[2024-06-01 23:26:05,751 INFO] Epoch:3, Snapshot: 52; Loss: 0.6940
+[2024-06-01 23:26:13,891 INFO] Epoch:3, Snapshot: 53; Loss: 0.6938
+[2024-06-01 23:26:19,653 INFO] Epoch:3, Snapshot: 54; Loss: 0.6923
+[2024-06-01 23:26:28,143 INFO] Epoch:3, Snapshot: 55; Loss: 0.6944
+[2024-06-01 23:26:35,107 INFO] Epoch:3, Snapshot: 56; Loss: 0.6938
+[2024-06-01 23:26:42,951 INFO] Epoch:3, Snapshot: 57; Loss: 0.6939
+[2024-06-01 23:26:49,634 INFO] Epoch:3, Snapshot: 58; Loss: 0.6934
+[2024-06-01 23:26:56,880 INFO] Epoch:3, Snapshot: 59; Loss: 0.6949
+[2024-06-01 23:27:03,832 INFO] Epoch:3, Snapshot: 60; Loss: 0.6939
+[2024-06-01 23:27:10,481 INFO] Epoch:3, Snapshot: 61; Loss: 0.6929
+[2024-06-01 23:27:17,822 INFO] Epoch:3, Snapshot: 62; Loss: 0.6929
+[2024-06-01 23:27:25,570 INFO] Epoch:3, Snapshot: 63; Loss: 0.6936
+[2024-06-01 23:27:33,068 INFO] Epoch:3, Snapshot: 64; Loss: 0.6923
+[2024-06-01 23:27:40,223 INFO] Epoch:3, Snapshot: 65; Loss: 0.6923
+[2024-06-01 23:27:48,710 INFO] Epoch:3, Snapshot: 66; Loss: 0.6955
+[2024-06-01 23:27:55,438 INFO] Epoch:3, Snapshot: 67; Loss: 0.6934
+[2024-06-01 23:28:03,235 INFO] Epoch:3, Snapshot: 68; Loss: 0.6929
+[2024-06-01 23:28:10,879 INFO] Epoch:3, Snapshot: 69; Loss: 0.6930
+[2024-06-01 23:28:18,277 INFO] Epoch:3, Snapshot: 70; Loss: 0.6941
+[2024-06-01 23:28:27,469 INFO] Epoch:3, Snapshot: 71; Loss: 0.6933
+[2024-06-01 23:28:34,465 INFO] Epoch:3, Snapshot: 72; Loss: 0.6923
+[2024-06-01 23:28:43,187 INFO] Epoch:3, Snapshot: 73; Loss: 0.6911
+[2024-06-01 23:28:50,168 INFO] Epoch:3, Snapshot: 74; Loss: 0.6914
+[2024-06-01 23:28:58,511 INFO] Epoch:3, Snapshot: 75; Loss: 0.6920
+[2024-06-01 23:29:05,885 INFO] Epoch:3, Snapshot: 76; Loss: 0.6928
+[2024-06-01 23:29:13,429 INFO] Epoch:3, Snapshot: 77; Loss: 0.6937
+[2024-06-01 23:29:21,900 INFO] Epoch:3, Snapshot: 78; Loss: 0.6948
+[2024-06-01 23:29:29,273 INFO] Epoch:3, Snapshot: 79; Loss: 0.6941
+[2024-06-01 23:29:37,634 INFO] Epoch:3, Snapshot: 80; Loss: 0.6935
+[2024-06-01 23:29:44,614 INFO] Epoch:3, Snapshot: 81; Loss: 0.6942
+[2024-06-01 23:29:52,253 INFO] Epoch:3, Snapshot: 82; Loss: 0.6923
+[2024-06-01 23:30:01,540 INFO] Epoch:3, Snapshot: 83; Loss: 0.6940
+[2024-06-01 23:30:07,890 INFO] Epoch:3, Snapshot: 84; Loss: 0.6940
+[2024-06-01 23:30:16,347 INFO] Epoch:3, Snapshot: 85; Loss: 0.6945
+[2024-06-01 23:30:23,690 INFO] Epoch:3, Snapshot: 86; Loss: 0.6937
+[2024-06-01 23:31:45,921 INFO] ==========================================================================================
+[2024-06-01 23:31:45,921 INFO] Epoch:3, Loss: 0.6953, Time: 731.989, GPU: 792.7MiB
+[2024-06-01 23:31:45,921 INFO] Epoch:3, F1: 0.0000; Accuracy: 0.5021; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-06-01 23:31:50,687 INFO] Epoch:4, Snapshot: 0; Loss: 0.8499
+[2024-06-01 23:31:58,116 INFO] Epoch:4, Snapshot: 1; Loss: 0.6942
+[2024-06-01 23:32:04,689 INFO] Epoch:4, Snapshot: 2; Loss: 0.6940
+[2024-06-01 23:32:13,061 INFO] Epoch:4, Snapshot: 3; Loss: 0.6920
+[2024-06-01 23:32:19,688 INFO] Epoch:4, Snapshot: 4; Loss: 0.6927
+[2024-06-01 23:32:26,678 INFO] Epoch:4, Snapshot: 5; Loss: 0.6936
+[2024-06-01 23:32:33,512 INFO] Epoch:4, Snapshot: 6; Loss: 0.6934
+[2024-06-01 23:32:40,985 INFO] Epoch:4, Snapshot: 7; Loss: 0.6942
+[2024-06-01 23:32:48,738 INFO] Epoch:4, Snapshot: 8; Loss: 0.6930
+[2024-06-01 23:32:55,367 INFO] Epoch:4, Snapshot: 9; Loss: 0.6951
+[2024-06-01 23:33:01,959 INFO] Epoch:4, Snapshot: 10; Loss: 0.6918
+[2024-06-01 23:33:08,293 INFO] Epoch:4, Snapshot: 11; Loss: 0.6951
+[2024-06-01 23:33:15,724 INFO] Epoch:4, Snapshot: 12; Loss: 0.6943
+[2024-06-01 23:33:22,854 INFO] Epoch:4, Snapshot: 13; Loss: 0.6948
+[2024-06-01 23:33:30,321 INFO] Epoch:4, Snapshot: 14; Loss: 0.6927
+[2024-06-01 23:33:38,624 INFO] Epoch:4, Snapshot: 15; Loss: 0.6957
+[2024-06-01 23:33:44,935 INFO] Epoch:4, Snapshot: 16; Loss: 0.6919
+[2024-06-01 23:33:52,239 INFO] Epoch:4, Snapshot: 17; Loss: 0.6928
+[2024-06-01 23:33:58,461 INFO] Epoch:4, Snapshot: 18; Loss: 0.6927
+[2024-06-01 23:34:06,422 INFO] Epoch:4, Snapshot: 19; Loss: 0.6927
+[2024-06-01 23:34:12,730 INFO] Epoch:4, Snapshot: 20; Loss: 0.6911
+[2024-06-01 23:34:21,559 INFO] Epoch:4, Snapshot: 21; Loss: 0.6945
+[2024-06-01 23:34:28,317 INFO] Epoch:4, Snapshot: 22; Loss: 0.6906
+[2024-06-01 23:34:36,061 INFO] Epoch:4, Snapshot: 23; Loss: 0.6918
+[2024-06-01 23:34:42,614 INFO] Epoch:4, Snapshot: 24; Loss: 0.6935
+[2024-06-01 23:34:49,269 INFO] Epoch:4, Snapshot: 25; Loss: 0.6921
+[2024-06-01 23:34:55,919 INFO] Epoch:4, Snapshot: 26; Loss: 0.6935
+[2024-06-01 23:35:03,495 INFO] Epoch:4, Snapshot: 27; Loss: 0.6946
+[2024-06-01 23:35:11,367 INFO] Epoch:4, Snapshot: 28; Loss: 0.6932
+[2024-06-01 23:35:17,885 INFO] Epoch:4, Snapshot: 29; Loss: 0.6922
+[2024-06-01 23:35:25,902 INFO] Epoch:4, Snapshot: 30; Loss: 0.6937
+[2024-06-01 23:35:32,654 INFO] Epoch:4, Snapshot: 31; Loss: 0.6942
+[2024-06-01 23:35:40,267 INFO] Epoch:4, Snapshot: 32; Loss: 0.6914
+[2024-06-01 23:35:47,615 INFO] Epoch:4, Snapshot: 33; Loss: 0.6952
+[2024-06-01 23:35:53,946 INFO] Epoch:4, Snapshot: 34; Loss: 0.6926
+[2024-06-01 23:36:02,606 INFO] Epoch:4, Snapshot: 35; Loss: 0.6929
+[2024-06-01 23:36:09,610 INFO] Epoch:4, Snapshot: 36; Loss: 0.6955
+[2024-06-01 23:36:17,550 INFO] Epoch:4, Snapshot: 37; Loss: 0.6956
+[2024-06-01 23:36:25,866 INFO] Epoch:4, Snapshot: 38; Loss: 0.6949
+[2024-06-01 23:36:33,198 INFO] Epoch:4, Snapshot: 39; Loss: 0.6923
+[2024-06-01 23:36:41,334 INFO] Epoch:4, Snapshot: 40; Loss: 0.6942
+[2024-06-01 23:36:48,448 INFO] Epoch:4, Snapshot: 41; Loss: 0.6926
+[2024-06-01 23:36:56,639 INFO] Epoch:4, Snapshot: 42; Loss: 0.6928
+[2024-06-01 23:37:05,347 INFO] Epoch:4, Snapshot: 43; Loss: 0.6920
+[2024-06-01 23:37:13,420 INFO] Epoch:4, Snapshot: 44; Loss: 0.6951
+[2024-06-01 23:37:22,361 INFO] Epoch:4, Snapshot: 45; Loss: 0.6947
+[2024-06-01 23:37:29,257 INFO] Epoch:4, Snapshot: 46; Loss: 0.6933
+[2024-06-01 23:37:36,371 INFO] Epoch:4, Snapshot: 47; Loss: 0.6922
+[2024-06-01 23:37:42,798 INFO] Epoch:4, Snapshot: 48; Loss: 0.6920
+[2024-06-01 23:37:49,365 INFO] Epoch:4, Snapshot: 49; Loss: 0.6938
+[2024-06-01 23:37:57,374 INFO] Epoch:4, Snapshot: 50; Loss: 0.6922
+[2024-06-01 23:38:02,731 INFO] Epoch:4, Snapshot: 51; Loss: 0.6930
+[2024-06-01 23:38:11,158 INFO] Epoch:4, Snapshot: 52; Loss: 0.6938
+[2024-06-01 23:38:19,366 INFO] Epoch:4, Snapshot: 53; Loss: 0.6942
+[2024-06-01 23:38:26,808 INFO] Epoch:4, Snapshot: 54; Loss: 0.6922
+[2024-06-01 23:38:34,826 INFO] Epoch:4, Snapshot: 55; Loss: 0.6947
+[2024-06-01 23:38:41,986 INFO] Epoch:4, Snapshot: 56; Loss: 0.6938
+[2024-06-01 23:38:49,645 INFO] Epoch:4, Snapshot: 57; Loss: 0.6937
+[2024-06-01 23:38:57,257 INFO] Epoch:4, Snapshot: 58; Loss: 0.6933
+[2024-06-01 23:39:04,417 INFO] Epoch:4, Snapshot: 59; Loss: 0.6948
+[2024-06-01 23:39:13,190 INFO] Epoch:4, Snapshot: 60; Loss: 0.6937
+[2024-06-01 23:39:21,190 INFO] Epoch:4, Snapshot: 61; Loss: 0.6927
+[2024-06-01 23:39:28,597 INFO] Epoch:4, Snapshot: 62; Loss: 0.6929
+[2024-06-01 23:39:36,054 INFO] Epoch:4, Snapshot: 63; Loss: 0.6935
+[2024-06-01 23:39:43,541 INFO] Epoch:4, Snapshot: 64; Loss: 0.6925
+[2024-06-01 23:39:50,394 INFO] Epoch:4, Snapshot: 65; Loss: 0.6925
+[2024-06-01 23:39:57,778 INFO] Epoch:4, Snapshot: 66; Loss: 0.6954
+[2024-06-01 23:40:03,725 INFO] Epoch:4, Snapshot: 67; Loss: 0.6935
+[2024-06-01 23:40:10,320 INFO] Epoch:4, Snapshot: 68; Loss: 0.6927
+[2024-06-01 23:40:17,234 INFO] Epoch:4, Snapshot: 69; Loss: 0.6930
+[2024-06-01 23:40:25,302 INFO] Epoch:4, Snapshot: 70; Loss: 0.6944
+[2024-06-01 23:40:32,917 INFO] Epoch:4, Snapshot: 71; Loss: 0.6933
+[2024-06-01 23:40:39,546 INFO] Epoch:4, Snapshot: 72; Loss: 0.6923
+[2024-06-01 23:40:47,535 INFO] Epoch:4, Snapshot: 73; Loss: 0.6907
+[2024-06-01 23:40:53,492 INFO] Epoch:4, Snapshot: 74; Loss: 0.6916
+[2024-06-01 23:41:01,656 INFO] Epoch:4, Snapshot: 75; Loss: 0.6918
+[2024-06-01 23:41:08,408 INFO] Epoch:4, Snapshot: 76; Loss: 0.6929
+[2024-06-01 23:41:16,585 INFO] Epoch:4, Snapshot: 77; Loss: 0.6936
+[2024-06-01 23:41:24,856 INFO] Epoch:4, Snapshot: 78; Loss: 0.6950
+[2024-06-01 23:41:32,438 INFO] Epoch:4, Snapshot: 79; Loss: 0.6942
+[2024-06-01 23:41:41,131 INFO] Epoch:4, Snapshot: 80; Loss: 0.6934
+[2024-06-01 23:41:48,449 INFO] Epoch:4, Snapshot: 81; Loss: 0.6941
+[2024-06-01 23:41:56,423 INFO] Epoch:4, Snapshot: 82; Loss: 0.6923
+[2024-06-01 23:42:04,366 INFO] Epoch:4, Snapshot: 83; Loss: 0.6939
+[2024-06-01 23:42:10,788 INFO] Epoch:4, Snapshot: 84; Loss: 0.6939
+[2024-06-01 23:42:19,122 INFO] Epoch:4, Snapshot: 85; Loss: 0.6942
+[2024-06-01 23:42:25,704 INFO] Epoch:4, Snapshot: 86; Loss: 0.6938
+[2024-06-01 23:43:47,477 INFO] ==========================================================================================
+[2024-06-01 23:43:47,477 INFO] Epoch:4, Loss: 0.6952, Time: 721.556, GPU: 792.7MiB
+[2024-06-01 23:43:47,477 INFO] Epoch:4, F1: 0.0000; Accuracy: 0.5021; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-06-01 23:43:53,557 INFO] Epoch:5, Snapshot: 0; Loss: 0.8495
+[2024-06-01 23:44:01,907 INFO] Epoch:5, Snapshot: 1; Loss: 0.6944
+[2024-06-01 23:44:09,709 INFO] Epoch:5, Snapshot: 2; Loss: 0.6940
+[2024-06-01 23:44:18,631 INFO] Epoch:5, Snapshot: 3; Loss: 0.6921
+[2024-06-01 23:44:27,103 INFO] Epoch:5, Snapshot: 4; Loss: 0.6926
+[2024-06-01 23:44:36,457 INFO] Epoch:5, Snapshot: 5; Loss: 0.6938
+[2024-06-01 23:44:43,947 INFO] Epoch:5, Snapshot: 6; Loss: 0.6936
+[2024-06-01 23:44:53,201 INFO] Epoch:5, Snapshot: 7; Loss: 0.6943
+[2024-06-01 23:45:01,678 INFO] Epoch:5, Snapshot: 8; Loss: 0.6928
+[2024-06-01 23:45:11,339 INFO] Epoch:5, Snapshot: 9; Loss: 0.6949
+[2024-06-01 23:45:21,920 INFO] Epoch:5, Snapshot: 10; Loss: 0.6919
+[2024-06-01 23:45:30,379 INFO] Epoch:5, Snapshot: 11; Loss: 0.6952
+[2024-06-01 23:45:39,490 INFO] Epoch:5, Snapshot: 12; Loss: 0.6942
+[2024-06-01 23:45:50,672 INFO] Epoch:5, Snapshot: 13; Loss: 0.6945
+[2024-06-01 23:45:59,396 INFO] Epoch:5, Snapshot: 14; Loss: 0.6928
+[2024-06-01 23:46:08,589 INFO] Epoch:5, Snapshot: 15; Loss: 0.6958
+[2024-06-01 23:46:19,079 INFO] Epoch:5, Snapshot: 16; Loss: 0.6918
+[2024-06-01 23:46:28,864 INFO] Epoch:5, Snapshot: 17; Loss: 0.6927
+[2024-06-01 23:46:38,155 INFO] Epoch:5, Snapshot: 18; Loss: 0.6925
+[2024-06-01 23:46:47,110 INFO] Epoch:5, Snapshot: 19; Loss: 0.6926
+[2024-06-01 23:46:57,459 INFO] Epoch:5, Snapshot: 20; Loss: 0.6910
+[2024-06-01 23:47:07,519 INFO] Epoch:5, Snapshot: 21; Loss: 0.6945
+[2024-06-01 23:47:16,592 INFO] Epoch:5, Snapshot: 22; Loss: 0.6905
+[2024-06-01 23:47:26,329 INFO] Epoch:5, Snapshot: 23; Loss: 0.6915
+[2024-06-01 23:47:35,426 INFO] Epoch:5, Snapshot: 24; Loss: 0.6934
+[2024-06-01 23:47:45,941 INFO] Epoch:5, Snapshot: 25; Loss: 0.6920
+[2024-06-01 23:47:54,860 INFO] Epoch:5, Snapshot: 26; Loss: 0.6934
+[2024-06-01 23:48:05,207 INFO] Epoch:5, Snapshot: 27; Loss: 0.6944
+[2024-06-01 23:48:16,001 INFO] Epoch:5, Snapshot: 28; Loss: 0.6931
+[2024-06-01 23:48:23,634 INFO] Epoch:5, Snapshot: 29; Loss: 0.6918
+[2024-06-01 23:48:33,614 INFO] Epoch:5, Snapshot: 30; Loss: 0.6932
+[2024-06-01 23:48:43,774 INFO] Epoch:5, Snapshot: 31; Loss: 0.6941
+[2024-06-01 23:48:53,105 INFO] Epoch:5, Snapshot: 32; Loss: 0.6915
+[2024-06-01 23:49:02,474 INFO] Epoch:5, Snapshot: 33; Loss: 0.6950
+[2024-06-01 23:49:13,686 INFO] Epoch:5, Snapshot: 34; Loss: 0.6929
+[2024-06-01 23:49:23,488 INFO] Epoch:5, Snapshot: 35; Loss: 0.6929
+[2024-06-01 23:49:32,426 INFO] Epoch:5, Snapshot: 36; Loss: 0.6955
+[2024-06-01 23:49:42,698 INFO] Epoch:5, Snapshot: 37; Loss: 0.6962
+[2024-06-01 23:49:50,579 INFO] Epoch:5, Snapshot: 38; Loss: 0.6948
+[2024-06-01 23:49:59,502 INFO] Epoch:5, Snapshot: 39; Loss: 0.6923
+[2024-06-01 23:50:09,541 INFO] Epoch:5, Snapshot: 40; Loss: 0.6942
+[2024-06-01 23:50:19,204 INFO] Epoch:5, Snapshot: 41; Loss: 0.6924
+[2024-06-01 23:50:28,975 INFO] Epoch:5, Snapshot: 42; Loss: 0.6927
+[2024-06-01 23:50:38,448 INFO] Epoch:5, Snapshot: 43; Loss: 0.6919
+[2024-06-01 23:50:49,126 INFO] Epoch:5, Snapshot: 44; Loss: 0.6949
+[2024-06-01 23:50:57,619 INFO] Epoch:5, Snapshot: 45; Loss: 0.6947
+[2024-06-01 23:51:07,951 INFO] Epoch:5, Snapshot: 46; Loss: 0.6933
+[2024-06-01 23:51:18,128 INFO] Epoch:5, Snapshot: 47; Loss: 0.6920
+[2024-06-01 23:51:26,914 INFO] Epoch:5, Snapshot: 48; Loss: 0.6925
+[2024-06-01 23:51:37,421 INFO] Epoch:5, Snapshot: 49; Loss: 0.6938
+[2024-06-01 23:51:47,535 INFO] Epoch:5, Snapshot: 50; Loss: 0.6921
+[2024-06-01 23:51:57,447 INFO] Epoch:5, Snapshot: 51; Loss: 0.6928
+[2024-06-01 23:52:08,217 INFO] Epoch:5, Snapshot: 52; Loss: 0.6941
+[2024-06-01 23:52:19,114 INFO] Epoch:5, Snapshot: 53; Loss: 0.6940
+[2024-06-01 23:52:28,102 INFO] Epoch:5, Snapshot: 54; Loss: 0.6923
+[2024-06-01 23:52:38,108 INFO] Epoch:5, Snapshot: 55; Loss: 0.6945
+[2024-06-01 23:52:46,834 INFO] Epoch:5, Snapshot: 56; Loss: 0.6939
+[2024-06-01 23:52:55,586 INFO] Epoch:5, Snapshot: 57; Loss: 0.6938
+[2024-06-01 23:53:05,610 INFO] Epoch:5, Snapshot: 58; Loss: 0.6930
+[2024-06-01 23:53:13,598 INFO] Epoch:5, Snapshot: 59; Loss: 0.6947
+[2024-06-01 23:53:23,400 INFO] Epoch:5, Snapshot: 60; Loss: 0.6938
+[2024-06-01 23:53:30,762 INFO] Epoch:5, Snapshot: 61; Loss: 0.6927
+[2024-06-01 23:53:39,830 INFO] Epoch:5, Snapshot: 62; Loss: 0.6927
+[2024-06-01 23:53:50,010 INFO] Epoch:5, Snapshot: 63; Loss: 0.6933
+[2024-06-01 23:53:57,607 INFO] Epoch:5, Snapshot: 64; Loss: 0.6922
+[2024-06-01 23:54:06,396 INFO] Epoch:5, Snapshot: 65; Loss: 0.6923
+[2024-06-01 23:54:15,106 INFO] Epoch:5, Snapshot: 66; Loss: 0.6957
+[2024-06-01 23:54:23,048 INFO] Epoch:5, Snapshot: 67; Loss: 0.6934
+[2024-06-01 23:54:32,067 INFO] Epoch:5, Snapshot: 68; Loss: 0.6926
+[2024-06-01 23:54:38,163 INFO] Epoch:5, Snapshot: 69; Loss: 0.6931
+[2024-06-01 23:54:48,546 INFO] Epoch:5, Snapshot: 70; Loss: 0.6943
+[2024-06-01 23:54:55,877 INFO] Epoch:5, Snapshot: 71; Loss: 0.6931
+[2024-06-01 23:55:04,637 INFO] Epoch:5, Snapshot: 72; Loss: 0.6921
+[2024-06-01 23:55:15,139 INFO] Epoch:5, Snapshot: 73; Loss: 0.6905
+[2024-06-01 23:55:21,898 INFO] Epoch:5, Snapshot: 74; Loss: 0.6915
+[2024-06-01 23:55:29,431 INFO] Epoch:5, Snapshot: 75; Loss: 0.6917
+[2024-06-01 23:55:36,674 INFO] Epoch:5, Snapshot: 76; Loss: 0.6929
+[2024-06-01 23:55:45,419 INFO] Epoch:5, Snapshot: 77; Loss: 0.6935
+[2024-06-01 23:55:52,528 INFO] Epoch:5, Snapshot: 78; Loss: 0.6948
+[2024-06-01 23:56:01,027 INFO] Epoch:5, Snapshot: 79; Loss: 0.6944
+[2024-06-01 23:56:10,128 INFO] Epoch:5, Snapshot: 80; Loss: 0.6933
+[2024-06-01 23:56:18,462 INFO] Epoch:5, Snapshot: 81; Loss: 0.6940
+[2024-06-01 23:56:27,059 INFO] Epoch:5, Snapshot: 82; Loss: 0.6921
+[2024-06-01 23:56:36,316 INFO] Epoch:5, Snapshot: 83; Loss: 0.6946
+[2024-06-01 23:56:43,083 INFO] Epoch:5, Snapshot: 84; Loss: 0.6940
+[2024-06-01 23:56:52,650 INFO] Epoch:5, Snapshot: 85; Loss: 0.6943
+[2024-06-01 23:56:59,046 INFO] Epoch:5, Snapshot: 86; Loss: 0.6936
+[2024-06-01 23:58:21,094 INFO] ==========================================================================================
+[2024-06-01 23:58:21,110 INFO] Epoch:5, Loss: 0.6951, Time: 873.632, GPU: 792.7MiB
+[2024-06-01 23:58:21,110 INFO] Epoch:5, F1: 0.0000; Accuracy: 0.5021; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-06-01 23:58:26,486 INFO] Epoch:6, Snapshot: 0; Loss: 0.8493
+[2024-06-01 23:58:37,024 INFO] Epoch:6, Snapshot: 1; Loss: 0.6943
+[2024-06-01 23:58:44,217 INFO] Epoch:6, Snapshot: 2; Loss: 0.6940
+[2024-06-01 23:58:54,044 INFO] Epoch:6, Snapshot: 3; Loss: 0.6918
+[2024-06-01 23:59:01,785 INFO] Epoch:6, Snapshot: 4; Loss: 0.6926
+[2024-06-01 23:59:09,273 INFO] Epoch:6, Snapshot: 5; Loss: 0.6939
+[2024-06-01 23:59:16,639 INFO] Epoch:6, Snapshot: 6; Loss: 0.6939
+[2024-06-01 23:59:21,465 INFO] Epoch:6, Snapshot: 7; Loss: 0.6942
+[2024-06-01 23:59:31,769 INFO] Epoch:6, Snapshot: 8; Loss: 0.6928
+[2024-06-01 23:59:40,476 INFO] Epoch:6, Snapshot: 9; Loss: 0.6951
+[2024-06-01 23:59:49,641 INFO] Epoch:6, Snapshot: 10; Loss: 0.6919
+[2024-06-01 23:59:59,098 INFO] Epoch:6, Snapshot: 11; Loss: 0.6952
+[2024-06-02 00:00:05,862 INFO] Epoch:6, Snapshot: 12; Loss: 0.6943
+[2024-06-02 00:00:15,180 INFO] Epoch:6, Snapshot: 13; Loss: 0.6947
+[2024-06-02 00:00:23,343 INFO] Epoch:6, Snapshot: 14; Loss: 0.6925
+[2024-06-02 00:00:33,095 INFO] Epoch:6, Snapshot: 15; Loss: 0.6961
+[2024-06-02 00:00:42,616 INFO] Epoch:6, Snapshot: 16; Loss: 0.6915
+[2024-06-02 00:00:51,339 INFO] Epoch:6, Snapshot: 17; Loss: 0.6926
+[2024-06-02 00:01:00,373 INFO] Epoch:6, Snapshot: 18; Loss: 0.6924
+[2024-06-02 00:01:10,516 INFO] Epoch:6, Snapshot: 19; Loss: 0.6924
+[2024-06-02 00:01:18,178 INFO] Epoch:6, Snapshot: 20; Loss: 0.6910
+[2024-06-02 00:01:27,718 INFO] Epoch:6, Snapshot: 21; Loss: 0.6945
+[2024-06-02 00:01:35,144 INFO] Epoch:6, Snapshot: 22; Loss: 0.6906
+[2024-06-02 00:01:43,790 INFO] Epoch:6, Snapshot: 23; Loss: 0.6915
+[2024-06-02 00:01:52,544 INFO] Epoch:6, Snapshot: 24; Loss: 0.6935
+[2024-06-02 00:01:59,408 INFO] Epoch:6, Snapshot: 25; Loss: 0.6918
+[2024-06-02 00:02:09,132 INFO] Epoch:6, Snapshot: 26; Loss: 0.6936
+[2024-06-02 00:02:14,495 INFO] Epoch:6, Snapshot: 27; Loss: 0.6947
+[2024-06-02 00:02:24,424 INFO] Epoch:6, Snapshot: 28; Loss: 0.6931
+[2024-06-02 00:02:32,897 INFO] Epoch:6, Snapshot: 29; Loss: 0.6919
+[2024-06-02 00:02:41,182 INFO] Epoch:6, Snapshot: 30; Loss: 0.6934
+[2024-06-02 00:02:51,047 INFO] Epoch:6, Snapshot: 31; Loss: 0.6941
+[2024-06-02 00:02:56,300 INFO] Epoch:6, Snapshot: 32; Loss: 0.6916
+[2024-06-02 00:03:03,751 INFO] Epoch:6, Snapshot: 33; Loss: 0.6952
+[2024-06-02 00:03:11,615 INFO] Epoch:6, Snapshot: 34; Loss: 0.6928
+[2024-06-02 00:03:20,015 INFO] Epoch:6, Snapshot: 35; Loss: 0.6928
+[2024-06-02 00:03:26,434 INFO] Epoch:6, Snapshot: 36; Loss: 0.6955
+[2024-06-02 00:03:31,678 INFO] Epoch:6, Snapshot: 37; Loss: 0.6959
+[2024-06-02 00:03:37,709 INFO] Epoch:6, Snapshot: 38; Loss: 0.6950
+[2024-06-02 00:03:59,748 INFO] fixed random seed
+[2024-06-02 00:04:03,254 INFO] Epoch:1, Snapshot: 0; Loss: 1.3787
+[2024-06-02 00:04:07,415 INFO] Epoch:1, Snapshot: 1; Loss: 1.4805
+[2024-06-02 00:04:11,047 INFO] Epoch:1, Snapshot: 2; Loss: 0.9077
+[2024-06-02 00:04:17,057 INFO] Epoch:1, Snapshot: 3; Loss: 0.8796
+[2024-06-02 00:04:22,372 INFO] Epoch:1, Snapshot: 4; Loss: 0.8489
+[2024-06-02 00:04:27,357 INFO] Epoch:1, Snapshot: 5; Loss: 0.7606
+[2024-06-02 00:04:33,030 INFO] Epoch:1, Snapshot: 6; Loss: 0.7463
+[2024-06-02 00:04:38,438 INFO] Epoch:1, Snapshot: 7; Loss: 0.7404
+[2024-06-02 00:04:43,720 INFO] Epoch:1, Snapshot: 8; Loss: 0.7721
+[2024-06-02 00:04:49,342 INFO] Epoch:1, Snapshot: 9; Loss: 0.7809
+[2024-06-02 00:04:54,567 INFO] Epoch:1, Snapshot: 10; Loss: 0.7409
+[2024-06-02 00:04:59,708 INFO] Epoch:1, Snapshot: 11; Loss: 0.7221
+[2024-06-02 00:05:05,195 INFO] Epoch:1, Snapshot: 12; Loss: 0.7119
+[2024-06-02 00:05:10,775 INFO] Epoch:1, Snapshot: 13; Loss: 0.7049
+[2024-06-02 00:05:14,980 INFO] Epoch:1, Snapshot: 14; Loss: 0.7197
+[2024-06-02 00:05:20,634 INFO] Epoch:1, Snapshot: 15; Loss: 0.7097
+[2024-06-02 00:05:25,669 INFO] Epoch:1, Snapshot: 16; Loss: 0.7109
+[2024-06-02 00:05:34,582 INFO] Epoch:1, Snapshot: 17; Loss: 0.7074
+[2024-06-02 00:05:42,400 INFO] Epoch:1, Snapshot: 18; Loss: 0.7127
+[2024-06-02 00:05:52,360 INFO] Epoch:1, Snapshot: 19; Loss: 0.7168
+[2024-06-02 00:05:59,681 INFO] Epoch:1, Snapshot: 20; Loss: 0.7156
+[2024-06-02 00:06:09,546 INFO] Epoch:1, Snapshot: 21; Loss: 0.7079
+[2024-06-02 00:06:17,608 INFO] Epoch:1, Snapshot: 22; Loss: 0.7042
+[2024-06-02 00:06:26,670 INFO] Epoch:1, Snapshot: 23; Loss: 0.7056
+[2024-06-02 00:06:36,794 INFO] Epoch:1, Snapshot: 24; Loss: 0.6972
+[2024-06-02 00:06:44,232 INFO] Epoch:1, Snapshot: 25; Loss: 0.7002
+[2024-06-02 00:06:54,623 INFO] Epoch:1, Snapshot: 26; Loss: 0.7019
+[2024-06-02 00:07:02,794 INFO] Epoch:1, Snapshot: 27; Loss: 0.6988
+[2024-06-02 00:07:12,970 INFO] Epoch:1, Snapshot: 28; Loss: 0.6962
+[2024-06-02 00:07:19,076 INFO] Epoch:1, Snapshot: 29; Loss: 0.6957
+[2024-06-02 00:07:28,096 INFO] Epoch:1, Snapshot: 30; Loss: 0.6973
+[2024-06-02 00:07:36,740 INFO] Epoch:1, Snapshot: 31; Loss: 0.6965
+[2024-06-02 00:07:45,722 INFO] Epoch:1, Snapshot: 32; Loss: 0.6959
+[2024-06-02 00:07:56,296 INFO] Epoch:1, Snapshot: 33; Loss: 0.6957
+[2024-06-02 00:08:03,612 INFO] Epoch:1, Snapshot: 34; Loss: 0.6968
+[2024-06-02 00:08:13,674 INFO] Epoch:1, Snapshot: 35; Loss: 0.6959
+[2024-06-02 00:08:19,242 INFO] Epoch:1, Snapshot: 36; Loss: 0.6964
+[2024-06-02 00:08:29,262 INFO] Epoch:1, Snapshot: 37; Loss: 0.6962
+[2024-06-02 00:08:37,547 INFO] Epoch:1, Snapshot: 38; Loss: 0.6950
+[2024-06-02 00:08:46,657 INFO] Epoch:1, Snapshot: 39; Loss: 0.6944
+[2024-06-02 00:08:56,803 INFO] Epoch:1, Snapshot: 40; Loss: 0.6962
+[2024-06-02 00:09:02,994 INFO] Epoch:1, Snapshot: 41; Loss: 0.6953
+[2024-06-02 00:09:13,009 INFO] Epoch:1, Snapshot: 42; Loss: 0.6963
+[2024-06-02 00:09:19,379 INFO] Epoch:1, Snapshot: 43; Loss: 0.6971
+[2024-06-02 00:09:29,333 INFO] Epoch:1, Snapshot: 44; Loss: 0.6952
+[2024-06-02 00:09:38,381 INFO] Epoch:1, Snapshot: 45; Loss: 0.6972
+[2024-06-02 00:09:46,646 INFO] Epoch:1, Snapshot: 46; Loss: 0.6973
+[2024-06-02 00:09:57,165 INFO] Epoch:1, Snapshot: 47; Loss: 0.6963
+[2024-06-02 00:10:04,232 INFO] Epoch:1, Snapshot: 48; Loss: 0.6945
+[2024-06-02 00:10:13,173 INFO] Epoch:1, Snapshot: 49; Loss: 0.6949
+[2024-06-02 00:10:19,413 INFO] Epoch:1, Snapshot: 50; Loss: 0.6953
+[2024-06-02 00:10:28,432 INFO] Epoch:1, Snapshot: 51; Loss: 0.6972
+[2024-06-02 00:10:35,115 INFO] Epoch:1, Snapshot: 52; Loss: 0.6965
+[2024-06-02 00:10:45,623 INFO] Epoch:1, Snapshot: 53; Loss: 0.6968
+[2024-06-02 00:10:53,986 INFO] Epoch:1, Snapshot: 54; Loss: 0.6973
+[2024-06-02 00:11:03,079 INFO] Epoch:1, Snapshot: 55; Loss: 0.6952
+[2024-06-02 00:11:09,499 INFO] Epoch:1, Snapshot: 56; Loss: 0.6955
+[2024-06-02 00:11:17,095 INFO] Epoch:1, Snapshot: 57; Loss: 0.6955
+[2024-06-02 00:11:22,738 INFO] Epoch:1, Snapshot: 58; Loss: 0.6954
+[2024-06-02 00:11:28,460 INFO] Epoch:1, Snapshot: 59; Loss: 0.6957
+[2024-06-02 00:11:34,180 INFO] Epoch:1, Snapshot: 60; Loss: 0.6950
+[2024-06-02 00:11:40,136 INFO] Epoch:1, Snapshot: 61; Loss: 0.6946
+[2024-06-02 00:11:46,200 INFO] Epoch:1, Snapshot: 62; Loss: 0.6944
+[2024-06-02 00:11:52,045 INFO] Epoch:1, Snapshot: 63; Loss: 0.6943
+[2024-06-02 00:11:58,046 INFO] Epoch:1, Snapshot: 64; Loss: 0.6946
+[2024-06-02 00:12:04,000 INFO] Epoch:1, Snapshot: 65; Loss: 0.6951
+[2024-06-02 00:12:09,752 INFO] Epoch:1, Snapshot: 66; Loss: 0.6953
+[2024-06-02 00:12:15,192 INFO] Epoch:1, Snapshot: 67; Loss: 0.6950
+[2024-06-02 00:12:20,663 INFO] Epoch:1, Snapshot: 68; Loss: 0.6939
+[2024-06-02 00:12:26,368 INFO] Epoch:1, Snapshot: 69; Loss: 0.6940
+[2024-06-02 00:12:32,259 INFO] Epoch:1, Snapshot: 70; Loss: 0.6940
+[2024-06-02 00:12:38,092 INFO] Epoch:1, Snapshot: 71; Loss: 0.6939
+[2024-06-02 00:12:43,921 INFO] Epoch:1, Snapshot: 72; Loss: 0.6940
+[2024-06-02 00:12:49,158 INFO] Epoch:1, Snapshot: 73; Loss: 0.6938
+[2024-06-02 00:12:54,553 INFO] Epoch:1, Snapshot: 74; Loss: 0.6941
+[2024-06-02 00:13:00,039 INFO] Epoch:1, Snapshot: 75; Loss: 0.6942
+[2024-06-02 00:13:05,542 INFO] Epoch:1, Snapshot: 76; Loss: 0.6946
+[2024-06-02 00:13:11,559 INFO] Epoch:1, Snapshot: 77; Loss: 0.6940
+[2024-06-02 00:13:17,343 INFO] Epoch:1, Snapshot: 78; Loss: 0.6945
+[2024-06-02 00:13:23,252 INFO] Epoch:1, Snapshot: 79; Loss: 0.6938
+[2024-06-02 00:13:29,041 INFO] Epoch:1, Snapshot: 80; Loss: 0.6939
+[2024-06-02 00:13:35,021 INFO] Epoch:1, Snapshot: 81; Loss: 0.6946
+[2024-06-02 00:13:40,634 INFO] Epoch:1, Snapshot: 82; Loss: 0.6944
+[2024-06-02 00:13:46,637 INFO] Epoch:1, Snapshot: 83; Loss: 0.6941
+[2024-06-02 00:13:52,482 INFO] Epoch:1, Snapshot: 84; Loss: 0.6936
+[2024-06-02 00:13:58,048 INFO] Epoch:1, Snapshot: 85; Loss: 0.6940
+[2024-06-02 00:14:03,957 INFO] Epoch:1, Snapshot: 86; Loss: 0.6941
+[2024-06-02 00:15:22,287 INFO] ==========================================================================================
+[2024-06-02 00:15:22,287 INFO] Epoch:1, Loss: 0.7253, Time: 682.539, GPU: 792.7MiB
+[2024-06-02 00:15:22,287 INFO] Epoch:1, F1: 0.6644; Accuracy: 0.4979; Precision: 0.4979; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-02 00:15:22,287 INFO] ==========================================================================================
+[2024-06-02 00:15:22,287 INFO] Total time: 682.539
+[2024-06-02 04:05:09,857 INFO] fixed random seed
+[2024-06-02 04:05:11,889 INFO] Epoch:1, Snapshot: 0; Loss: nan
+[2024-06-02 04:05:12,264 INFO] ==========================================================================================
+[2024-06-02 04:05:12,264 INFO] nan loss
+[2024-06-02 04:05:12,264 INFO] ==========================================================================================
+[2024-06-02 04:05:12,264 INFO] Total time: 2.406
+[2024-06-02 20:52:18,862 INFO] fixed random seed
+[2024-06-02 20:52:46,024 INFO] fixed random seed
+[2024-06-02 20:52:47,802 INFO] Epoch:1, Snapshot: 0; Loss: 1.8799
+[2024-06-02 20:52:49,720 INFO] Epoch:1, Snapshot: 1; Loss: 1.7355
+[2024-06-02 20:52:53,461 INFO] Epoch:1, Snapshot: 2; Loss: 0.9851
+[2024-06-02 20:52:56,910 INFO] Epoch:1, Snapshot: 3; Loss: 0.7985
+[2024-06-02 20:52:59,096 INFO] Epoch:1, Snapshot: 4; Loss: 0.7460
+[2024-06-02 20:53:02,477 INFO] Epoch:1, Snapshot: 5; Loss: 0.7673
+[2024-06-02 20:53:04,404 INFO] Epoch:1, Snapshot: 6; Loss: 0.7621
+[2024-06-02 20:53:06,327 INFO] Epoch:1, Snapshot: 7; Loss: 0.7238
+[2024-06-02 20:53:08,777 INFO] Epoch:1, Snapshot: 8; Loss: 0.7356
+[2024-06-02 20:53:10,594 INFO] Epoch:1, Snapshot: 9; Loss: 0.7023
+[2024-06-02 20:53:13,007 INFO] Epoch:1, Snapshot: 10; Loss: 0.7175
+[2024-06-02 20:53:15,976 INFO] Epoch:1, Snapshot: 11; Loss: 0.7384
+[2024-06-02 20:53:20,993 INFO] Epoch:1, Snapshot: 12; Loss: 0.7418
+[2024-06-02 20:53:23,830 INFO] Epoch:1, Snapshot: 13; Loss: 0.7256
+[2024-06-02 20:53:27,558 INFO] Epoch:1, Snapshot: 14; Loss: 0.7155
+[2024-06-02 20:53:32,958 INFO] Epoch:1, Snapshot: 15; Loss: 0.7014
+[2024-06-02 20:53:37,599 INFO] Epoch:1, Snapshot: 16; Loss: 0.7053
+[2024-06-02 20:53:41,679 INFO] Epoch:1, Snapshot: 17; Loss: 0.6974
+[2024-06-02 20:53:46,584 INFO] Epoch:1, Snapshot: 18; Loss: 0.6969
+[2024-06-02 20:53:50,537 INFO] Epoch:1, Snapshot: 19; Loss: 0.7017
+[2024-06-02 20:53:54,055 INFO] Epoch:1, Snapshot: 20; Loss: 0.7006
+[2024-06-02 20:53:58,070 INFO] Epoch:1, Snapshot: 21; Loss: 0.6887
+[2024-06-02 20:54:03,273 INFO] Epoch:1, Snapshot: 22; Loss: 0.6908
+[2024-06-02 20:54:06,168 INFO] Epoch:1, Snapshot: 23; Loss: 0.6951
+[2024-06-02 20:54:08,852 INFO] Epoch:1, Snapshot: 24; Loss: 0.6898
+[2024-06-02 20:54:13,402 INFO] Epoch:1, Snapshot: 25; Loss: 0.6886
+[2024-06-02 20:54:18,402 INFO] Epoch:1, Snapshot: 26; Loss: 0.6934
+[2024-06-02 20:54:23,021 INFO] Epoch:1, Snapshot: 27; Loss: 0.6890
+[2024-06-02 20:54:27,024 INFO] Epoch:1, Snapshot: 28; Loss: 0.6907
+[2024-06-02 20:54:32,072 INFO] Epoch:1, Snapshot: 29; Loss: 0.6897
+[2024-06-02 20:54:37,209 INFO] Epoch:1, Snapshot: 30; Loss: 0.6896
+[2024-06-02 20:54:41,120 INFO] Epoch:1, Snapshot: 31; Loss: 0.6906
+[2024-06-02 20:54:44,848 INFO] Epoch:1, Snapshot: 32; Loss: 0.6897
+[2024-06-02 20:54:49,921 INFO] Epoch:1, Snapshot: 33; Loss: 0.6859
+[2024-06-02 20:54:53,728 INFO] Epoch:1, Snapshot: 34; Loss: 0.6862
+[2024-06-02 20:54:56,093 INFO] Epoch:1, Snapshot: 35; Loss: 0.6829
+[2024-06-02 20:54:58,675 INFO] Epoch:1, Snapshot: 36; Loss: 0.6787
+[2024-06-02 20:55:02,739 INFO] Epoch:1, Snapshot: 37; Loss: 0.6788
+[2024-06-02 20:55:07,039 INFO] Epoch:1, Snapshot: 38; Loss: 0.6810
+[2024-06-02 20:55:09,446 INFO] Epoch:1, Snapshot: 39; Loss: 0.6788
+[2024-06-02 20:55:11,542 INFO] Epoch:1, Snapshot: 40; Loss: 0.6777
+[2024-06-02 20:55:15,827 INFO] Epoch:1, Snapshot: 41; Loss: 0.6807
+[2024-06-02 20:55:20,390 INFO] Epoch:1, Snapshot: 42; Loss: 0.6759
+[2024-06-02 20:55:24,391 INFO] Epoch:1, Snapshot: 43; Loss: 0.6822
+[2024-06-02 20:55:28,957 INFO] Epoch:1, Snapshot: 44; Loss: 0.6670
+[2024-06-02 20:55:33,319 INFO] Epoch:1, Snapshot: 45; Loss: 0.6796
+[2024-06-02 20:55:37,790 INFO] Epoch:1, Snapshot: 46; Loss: 0.6633
+[2024-06-02 20:55:42,732 INFO] Epoch:1, Snapshot: 47; Loss: 0.6545
+[2024-06-02 20:55:46,829 INFO] Epoch:1, Snapshot: 48; Loss: 0.6641
+[2024-06-02 20:55:50,784 INFO] Epoch:1, Snapshot: 49; Loss: 0.6661
+[2024-06-02 20:55:53,098 INFO] Epoch:1, Snapshot: 50; Loss: 0.6633
+[2024-06-02 20:55:57,776 INFO] Epoch:1, Snapshot: 51; Loss: 0.6188
+[2024-06-02 20:56:02,780 INFO] Epoch:1, Snapshot: 52; Loss: 0.6366
+[2024-06-02 20:56:07,064 INFO] Epoch:1, Snapshot: 53; Loss: 0.6829
+[2024-06-02 20:56:09,488 INFO] Epoch:1, Snapshot: 54; Loss: 0.6350
+[2024-06-02 20:56:14,820 INFO] Epoch:1, Snapshot: 55; Loss: 0.6429
+[2024-06-02 20:56:19,933 INFO] Epoch:1, Snapshot: 56; Loss: 0.7066
+[2024-06-02 20:56:22,435 INFO] Epoch:1, Snapshot: 57; Loss: 0.6176
+[2024-06-02 20:56:27,221 INFO] Epoch:1, Snapshot: 58; Loss: 0.6741
+[2024-06-02 20:56:29,919 INFO] Epoch:1, Snapshot: 59; Loss: 0.6775
+[2024-06-02 20:56:32,512 INFO] Epoch:1, Snapshot: 60; Loss: 0.6601
+[2024-06-02 20:56:36,030 INFO] Epoch:1, Snapshot: 61; Loss: 0.6392
+[2024-06-02 20:56:40,720 INFO] Epoch:1, Snapshot: 62; Loss: 0.6504
+[2024-06-02 20:56:45,440 INFO] Epoch:1, Snapshot: 63; Loss: 0.6513
+[2024-06-02 20:56:49,584 INFO] Epoch:1, Snapshot: 64; Loss: 0.7015
+[2024-06-02 20:56:52,324 INFO] Epoch:1, Snapshot: 65; Loss: 0.6143
+[2024-06-02 20:56:55,697 INFO] Epoch:1, Snapshot: 66; Loss: 0.6519
+[2024-06-02 20:56:58,117 INFO] Epoch:1, Snapshot: 67; Loss: 0.5526
+[2024-06-02 20:57:01,288 INFO] Epoch:1, Snapshot: 68; Loss: 0.6735
+[2024-06-02 20:57:03,628 INFO] Epoch:1, Snapshot: 69; Loss: 0.5951
+[2024-06-02 20:57:07,878 INFO] Epoch:1, Snapshot: 70; Loss: 0.5754
+[2024-06-02 20:57:12,654 INFO] Epoch:1, Snapshot: 71; Loss: 0.6122
+[2024-06-02 20:57:15,664 INFO] Epoch:1, Snapshot: 72; Loss: 0.6241
+[2024-06-02 20:57:19,090 INFO] Epoch:1, Snapshot: 73; Loss: 0.5758
+[2024-06-02 20:57:24,222 INFO] Epoch:1, Snapshot: 74; Loss: 0.5411
+[2024-06-02 20:57:27,392 INFO] Epoch:1, Snapshot: 75; Loss: 0.6305
+[2024-06-02 20:57:30,862 INFO] Epoch:1, Snapshot: 76; Loss: 0.5898
+[2024-06-02 20:57:33,050 INFO] Epoch:1, Snapshot: 77; Loss: 0.5788
+[2024-06-02 20:57:35,861 INFO] Epoch:1, Snapshot: 78; Loss: 0.6644
+[2024-06-02 20:57:39,414 INFO] Epoch:1, Snapshot: 79; Loss: 0.5023
+[2024-06-02 21:02:48,202 INFO] ==========================================================================================
+[2024-06-02 21:02:48,202 INFO] Epoch:1, Loss: 0.7036, Time: 602.178, GPU: 355.4MiB
+[2024-06-02 21:02:48,202 INFO] Epoch:1, F1: 0.9938; Accuracy: 0.9938; Precision: 0.9878; Recall: 1.0000; ROC AUC: 0.9939
+[2024-06-02 21:02:48,202 INFO] ==========================================================================================
+[2024-06-02 21:02:48,202 INFO] Total time: 602.178
+[2024-06-03 15:19:44,655 INFO] fixed random seed
+[2024-06-03 15:19:54,058 INFO] fixed random seed
+[2024-06-03 15:19:57,757 INFO] Epoch:1, Snapshot: 0; Loss: 1.5735
+[2024-06-03 15:20:02,983 INFO] Epoch:1, Snapshot: 1; Loss: 2.2402
+[2024-06-03 15:20:08,424 INFO] Epoch:1, Snapshot: 2; Loss: 1.0272
+[2024-06-03 15:20:15,499 INFO] Epoch:1, Snapshot: 3; Loss: 0.7541
+[2024-06-03 15:20:23,574 INFO] Epoch:1, Snapshot: 4; Loss: 0.7654
+[2024-06-09 02:02:45,035 INFO] fixed random seed
+[2024-06-09 02:03:21,425 INFO] fixed random seed
+[2024-06-09 02:03:23,080 INFO] Epoch:1, Snapshot: 0; Loss: 1.8975
+[2024-06-09 02:03:25,067 INFO] Epoch:1, Snapshot: 1; Loss: 1.5839
+[2024-06-09 02:03:26,693 INFO] Epoch:1, Snapshot: 2; Loss: 0.8335
+[2024-06-09 02:03:28,538 INFO] Epoch:1, Snapshot: 3; Loss: 1.7780
+[2024-06-09 02:03:30,227 INFO] Epoch:1, Snapshot: 4; Loss: 1.6782
+[2024-06-09 02:03:31,895 INFO] Epoch:1, Snapshot: 5; Loss: 0.7178
+[2024-06-09 02:03:33,775 INFO] Epoch:1, Snapshot: 6; Loss: 1.9544
+[2024-06-09 02:03:35,370 INFO] Epoch:1, Snapshot: 7; Loss: 1.3366
+[2024-06-09 02:03:37,091 INFO] Epoch:1, Snapshot: 8; Loss: 0.7098
+[2024-06-09 02:03:38,997 INFO] Epoch:1, Snapshot: 9; Loss: 0.6939
+[2024-06-09 02:03:40,688 INFO] Epoch:1, Snapshot: 10; Loss: 0.7057
+[2024-06-09 02:03:42,392 INFO] Epoch:1, Snapshot: 11; Loss: 0.7504
+[2024-06-09 02:03:44,112 INFO] Epoch:1, Snapshot: 12; Loss: 0.7074
+[2024-06-09 02:03:45,738 INFO] Epoch:1, Snapshot: 13; Loss: 1.0064
+[2024-06-09 02:03:47,350 INFO] Epoch:1, Snapshot: 14; Loss: 0.8964
+[2024-06-09 02:03:49,104 INFO] Epoch:1, Snapshot: 15; Loss: 1.1599
+[2024-06-09 02:03:50,728 INFO] Epoch:1, Snapshot: 16; Loss: 0.9441
+[2024-06-09 02:03:52,494 INFO] Epoch:1, Snapshot: 17; Loss: 0.6997
+[2024-06-09 02:03:54,121 INFO] Epoch:1, Snapshot: 18; Loss: 0.6996
+[2024-06-09 02:03:55,794 INFO] Epoch:1, Snapshot: 19; Loss: 0.6969
+[2024-06-09 02:03:57,404 INFO] Epoch:1, Snapshot: 20; Loss: 0.6946
+[2024-06-09 02:03:59,187 INFO] Epoch:1, Snapshot: 21; Loss: 0.6963
+[2024-06-09 02:04:00,907 INFO] Epoch:1, Snapshot: 22; Loss: 0.6945
+[2024-06-09 02:04:02,486 INFO] Epoch:1, Snapshot: 23; Loss: 0.6979
+[2024-06-09 02:04:04,222 INFO] Epoch:1, Snapshot: 24; Loss: 0.7260
+[2024-06-09 02:04:05,942 INFO] Epoch:1, Snapshot: 25; Loss: 0.8036
+[2024-06-09 02:04:07,631 INFO] Epoch:1, Snapshot: 26; Loss: 0.7412
+[2024-06-09 02:04:09,163 INFO] Epoch:1, Snapshot: 27; Loss: 0.6995
+[2024-06-09 02:04:10,884 INFO] Epoch:1, Snapshot: 28; Loss: 0.7190
+[2024-06-09 02:04:12,525 INFO] Epoch:1, Snapshot: 29; Loss: 0.6940
+[2024-06-09 02:04:14,158 INFO] Epoch:1, Snapshot: 30; Loss: 0.7723
+[2024-06-09 02:04:15,763 INFO] Epoch:1, Snapshot: 31; Loss: 0.7750
+[2024-06-09 02:04:17,578 INFO] Epoch:1, Snapshot: 32; Loss: 0.6940
+[2024-06-09 02:04:19,298 INFO] Epoch:1, Snapshot: 33; Loss: 0.6942
+[2024-06-09 02:04:20,907 INFO] Epoch:1, Snapshot: 34; Loss: 0.6939
+[2024-06-09 02:04:22,516 INFO] Epoch:1, Snapshot: 35; Loss: 0.6934
+[2024-06-09 02:04:24,362 INFO] Epoch:1, Snapshot: 36; Loss: 0.6934
+[2024-06-09 02:04:26,067 INFO] Epoch:1, Snapshot: 37; Loss: 0.7182
+[2024-06-09 02:04:27,756 INFO] Epoch:1, Snapshot: 38; Loss: 0.7384
+[2024-06-09 02:04:29,491 INFO] Epoch:1, Snapshot: 39; Loss: 0.7413
+[2024-06-09 02:04:31,164 INFO] Epoch:1, Snapshot: 40; Loss: 0.7187
+[2024-06-09 02:04:32,806 INFO] Epoch:1, Snapshot: 41; Loss: 0.7473
+[2024-06-09 02:05:40,852 INFO] ==========================================================================================
+[2024-06-09 02:05:40,852 INFO] Epoch:1, Loss: 0.8880, Time: 139.427, GPU: 290.8MiB
+[2024-06-09 02:05:40,852 INFO] Epoch:1, Accuracy: 0.5025; F1: 0.0000; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000
+[2024-06-09 02:05:42,537 INFO] Epoch:2, Snapshot: 0; Loss: 0.8052
+[2024-06-09 02:05:44,414 INFO] Epoch:2, Snapshot: 1; Loss: 0.6940
+[2024-06-09 02:05:46,166 INFO] Epoch:2, Snapshot: 2; Loss: 0.7517
+[2024-06-09 02:05:47,918 INFO] Epoch:2, Snapshot: 3; Loss: 0.7486
+[2024-06-09 02:05:49,496 INFO] Epoch:2, Snapshot: 4; Loss: 0.7032
+[2024-06-09 02:05:51,209 INFO] Epoch:2, Snapshot: 5; Loss: 0.6968
+[2024-06-09 02:05:53,109 INFO] Epoch:2, Snapshot: 6; Loss: 0.6941
+[2024-06-09 02:05:54,699 INFO] Epoch:2, Snapshot: 7; Loss: 0.6994
+[2024-06-09 02:05:56,817 INFO] Epoch:2, Snapshot: 8; Loss: 0.6931
+[2024-06-09 02:05:59,259 INFO] Epoch:2, Snapshot: 9; Loss: 0.6980
+[2024-06-09 02:06:01,576 INFO] Epoch:2, Snapshot: 10; Loss: 0.6944
+[2024-06-09 02:06:03,909 INFO] Epoch:2, Snapshot: 11; Loss: 0.6944
+[2024-06-09 02:06:05,918 INFO] Epoch:2, Snapshot: 12; Loss: 0.7139
+[2024-06-09 02:06:08,038 INFO] Epoch:2, Snapshot: 13; Loss: 0.7033
+[2024-06-09 02:06:10,555 INFO] Epoch:2, Snapshot: 14; Loss: 0.7406
+[2024-06-09 02:06:12,338 INFO] Epoch:2, Snapshot: 15; Loss: 0.6932
+[2024-06-09 02:06:13,979 INFO] Epoch:2, Snapshot: 16; Loss: 0.6939
+[2024-06-09 02:06:15,697 INFO] Epoch:2, Snapshot: 17; Loss: 0.6934
+[2024-06-09 02:06:17,340 INFO] Epoch:2, Snapshot: 18; Loss: 0.6998
+[2024-06-09 02:06:19,138 INFO] Epoch:2, Snapshot: 19; Loss: 0.6973
+[2024-06-09 02:06:20,810 INFO] Epoch:2, Snapshot: 20; Loss: 0.6928
+[2024-06-09 02:06:22,485 INFO] Epoch:2, Snapshot: 21; Loss: 0.7070
+[2024-06-09 02:06:24,155 INFO] Epoch:2, Snapshot: 22; Loss: 0.7039
+[2024-06-09 02:06:25,797 INFO] Epoch:2, Snapshot: 23; Loss: 0.7013
+[2024-06-09 02:06:27,520 INFO] Epoch:2, Snapshot: 24; Loss: 0.6941
+[2024-06-09 02:06:29,144 INFO] Epoch:2, Snapshot: 25; Loss: 0.6935
+[2024-06-09 02:06:30,958 INFO] Epoch:2, Snapshot: 26; Loss: 0.6963
+[2024-06-09 02:06:32,681 INFO] Epoch:2, Snapshot: 27; Loss: 0.6928
+[2024-06-09 02:06:34,290 INFO] Epoch:2, Snapshot: 28; Loss: 0.6949
+[2024-06-09 02:06:35,961 INFO] Epoch:2, Snapshot: 29; Loss: 0.6950
+[2024-06-09 02:06:37,620 INFO] Epoch:2, Snapshot: 30; Loss: 0.6934
+[2024-06-09 02:06:39,277 INFO] Epoch:2, Snapshot: 31; Loss: 0.6933
+[2024-06-09 02:06:41,060 INFO] Epoch:2, Snapshot: 32; Loss: 0.6976
+[2024-06-09 02:06:42,764 INFO] Epoch:2, Snapshot: 33; Loss: 0.6937
+[2024-06-09 02:06:44,390 INFO] Epoch:2, Snapshot: 34; Loss: 0.6969
+[2024-06-09 02:06:46,031 INFO] Epoch:2, Snapshot: 35; Loss: 0.6934
+[2024-06-09 02:06:47,768 INFO] Epoch:2, Snapshot: 36; Loss: 0.6977
+[2024-06-09 02:06:49,503 INFO] Epoch:2, Snapshot: 37; Loss: 0.6966
+[2024-06-09 02:06:51,224 INFO] Epoch:2, Snapshot: 38; Loss: 0.6941
+[2024-06-09 02:06:52,865 INFO] Epoch:2, Snapshot: 39; Loss: 0.6951
+[2024-06-09 02:06:54,504 INFO] Epoch:2, Snapshot: 40; Loss: 0.6932
+[2024-06-09 02:06:56,209 INFO] Epoch:2, Snapshot: 41; Loss: 0.6979
+[2024-06-09 02:08:03,553 INFO] ==========================================================================================
+[2024-06-09 02:08:03,553 INFO] Epoch:2, Loss: 0.7029, Time: 142.701, GPU: 409.3MiB
+[2024-06-09 02:08:03,553 INFO] Epoch:2, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:08:05,242 INFO] Epoch:3, Snapshot: 0; Loss: 0.7094
+[2024-06-09 02:08:07,087 INFO] Epoch:3, Snapshot: 1; Loss: 0.6937
+[2024-06-09 02:08:08,852 INFO] Epoch:3, Snapshot: 2; Loss: 0.6939
+[2024-06-09 02:08:10,667 INFO] Epoch:3, Snapshot: 3; Loss: 0.6929
+[2024-06-09 02:08:12,293 INFO] Epoch:3, Snapshot: 4; Loss: 0.6934
+[2024-06-09 02:08:13,952 INFO] Epoch:3, Snapshot: 5; Loss: 0.6961
+[2024-06-09 02:08:15,904 INFO] Epoch:3, Snapshot: 6; Loss: 0.6963
+[2024-06-09 02:08:17,516 INFO] Epoch:3, Snapshot: 7; Loss: 0.6932
+[2024-06-09 02:08:19,190 INFO] Epoch:3, Snapshot: 8; Loss: 0.6933
+[2024-06-09 02:08:21,019 INFO] Epoch:3, Snapshot: 9; Loss: 0.6934
+[2024-06-09 02:08:22,692 INFO] Epoch:3, Snapshot: 10; Loss: 0.6932
+[2024-06-09 02:08:24,304 INFO] Epoch:3, Snapshot: 11; Loss: 0.6932
+[2024-06-09 02:08:26,101 INFO] Epoch:3, Snapshot: 12; Loss: 0.6931
+[2024-06-09 02:08:27,806 INFO] Epoch:3, Snapshot: 13; Loss: 0.6931
+[2024-06-09 02:08:29,386 INFO] Epoch:3, Snapshot: 14; Loss: 0.6929
+[2024-06-09 02:08:31,105 INFO] Epoch:3, Snapshot: 15; Loss: 0.6930
+[2024-06-09 02:08:32,732 INFO] Epoch:3, Snapshot: 16; Loss: 0.6935
+[2024-06-09 02:08:34,451 INFO] Epoch:3, Snapshot: 17; Loss: 0.6948
+[2024-06-09 02:08:36,108 INFO] Epoch:3, Snapshot: 18; Loss: 0.6949
+[2024-06-09 02:08:37,812 INFO] Epoch:3, Snapshot: 19; Loss: 0.6935
+[2024-06-09 02:08:39,548 INFO] Epoch:3, Snapshot: 20; Loss: 0.6929
+[2024-06-09 02:08:41,204 INFO] Epoch:3, Snapshot: 21; Loss: 0.6933
+[2024-06-09 02:08:42,970 INFO] Epoch:3, Snapshot: 22; Loss: 0.6932
+[2024-06-09 02:08:44,567 INFO] Epoch:3, Snapshot: 23; Loss: 0.6923
+[2024-06-09 02:08:46,176 INFO] Epoch:3, Snapshot: 24; Loss: 0.6931
+[2024-06-09 02:08:47,866 INFO] Epoch:3, Snapshot: 25; Loss: 0.6933
+[2024-06-09 02:08:49,664 INFO] Epoch:3, Snapshot: 26; Loss: 0.6930
+[2024-06-09 02:08:51,229 INFO] Epoch:3, Snapshot: 27; Loss: 0.6923
+[2024-06-09 02:08:52,897 INFO] Epoch:3, Snapshot: 28; Loss: 0.6936
+[2024-06-09 02:08:54,542 INFO] Epoch:3, Snapshot: 29; Loss: 0.6949
+[2024-06-09 02:08:56,170 INFO] Epoch:3, Snapshot: 30; Loss: 0.6939
+[2024-06-09 02:08:57,795 INFO] Epoch:3, Snapshot: 31; Loss: 0.6951
+[2024-06-09 02:08:59,577 INFO] Epoch:3, Snapshot: 32; Loss: 0.6937
+[2024-06-09 02:09:01,250 INFO] Epoch:3, Snapshot: 33; Loss: 0.6939
+[2024-06-09 02:09:02,892 INFO] Epoch:3, Snapshot: 34; Loss: 0.6930
+[2024-06-09 02:09:04,610 INFO] Epoch:3, Snapshot: 35; Loss: 0.6937
+[2024-06-09 02:09:06,394 INFO] Epoch:3, Snapshot: 36; Loss: 0.6934
+[2024-06-09 02:09:08,068 INFO] Epoch:3, Snapshot: 37; Loss: 0.6971
+[2024-06-09 02:09:09,723 INFO] Epoch:3, Snapshot: 38; Loss: 0.6975
+[2024-06-09 02:09:11,460 INFO] Epoch:3, Snapshot: 39; Loss: 0.6938
+[2024-06-09 02:09:13,181 INFO] Epoch:3, Snapshot: 40; Loss: 0.6941
+[2024-06-09 02:09:14,823 INFO] Epoch:3, Snapshot: 41; Loss: 0.6932
+[2024-06-09 02:10:24,226 INFO] ==========================================================================================
+[2024-06-09 02:10:24,226 INFO] Epoch:3, Loss: 0.6942, Time: 140.674, GPU: 409.3MiB
+[2024-06-09 02:10:24,226 INFO] Epoch:3, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:10:25,929 INFO] Epoch:4, Snapshot: 0; Loss: 0.7081
+[2024-06-09 02:10:27,745 INFO] Epoch:4, Snapshot: 1; Loss: 0.6936
+[2024-06-09 02:10:29,433 INFO] Epoch:4, Snapshot: 2; Loss: 0.6940
+[2024-06-09 02:10:31,232 INFO] Epoch:4, Snapshot: 3; Loss: 0.6933
+[2024-06-09 02:10:32,967 INFO] Epoch:4, Snapshot: 4; Loss: 0.6992
+[2024-06-09 02:10:34,623 INFO] Epoch:4, Snapshot: 5; Loss: 0.6974
+[2024-06-09 02:10:36,485 INFO] Epoch:4, Snapshot: 6; Loss: 0.6934
+[2024-06-09 02:10:38,064 INFO] Epoch:4, Snapshot: 7; Loss: 0.6932
+[2024-06-09 02:10:39,768 INFO] Epoch:4, Snapshot: 8; Loss: 0.6933
+[2024-06-09 02:10:41,689 INFO] Epoch:4, Snapshot: 9; Loss: 0.6934
+[2024-06-09 02:10:43,395 INFO] Epoch:4, Snapshot: 10; Loss: 0.6965
+[2024-06-09 02:10:45,005 INFO] Epoch:4, Snapshot: 11; Loss: 0.6967
+[2024-06-09 02:10:46,757 INFO] Epoch:4, Snapshot: 12; Loss: 0.6932
+[2024-06-09 02:10:48,492 INFO] Epoch:4, Snapshot: 13; Loss: 0.6931
+[2024-06-09 02:10:50,072 INFO] Epoch:4, Snapshot: 14; Loss: 0.6944
+[2024-06-09 02:10:51,682 INFO] Epoch:4, Snapshot: 15; Loss: 0.6942
+[2024-06-09 02:10:53,340 INFO] Epoch:4, Snapshot: 16; Loss: 0.6936
+[2024-06-09 02:10:55,091 INFO] Epoch:4, Snapshot: 17; Loss: 0.6958
+[2024-06-09 02:10:56,763 INFO] Epoch:4, Snapshot: 18; Loss: 0.6952
+[2024-06-09 02:10:58,466 INFO] Epoch:4, Snapshot: 19; Loss: 0.6933
+[2024-06-09 02:11:00,094 INFO] Epoch:4, Snapshot: 20; Loss: 0.6938
+[2024-06-09 02:11:01,768 INFO] Epoch:4, Snapshot: 21; Loss: 0.6943
+[2024-06-09 02:11:03,518 INFO] Epoch:4, Snapshot: 22; Loss: 0.6942
+[2024-06-09 02:11:05,141 INFO] Epoch:4, Snapshot: 23; Loss: 0.6928
+[2024-06-09 02:11:06,768 INFO] Epoch:4, Snapshot: 24; Loss: 0.6932
+[2024-06-09 02:11:08,504 INFO] Epoch:4, Snapshot: 25; Loss: 0.6934
+[2024-06-09 02:11:10,239 INFO] Epoch:4, Snapshot: 26; Loss: 0.6930
+[2024-06-09 02:11:11,803 INFO] Epoch:4, Snapshot: 27; Loss: 0.6923
+[2024-06-09 02:11:13,461 INFO] Epoch:4, Snapshot: 28; Loss: 0.6936
+[2024-06-09 02:11:15,118 INFO] Epoch:4, Snapshot: 29; Loss: 0.6928
+[2024-06-09 02:11:16,727 INFO] Epoch:4, Snapshot: 30; Loss: 0.6939
+[2024-06-09 02:11:18,385 INFO] Epoch:4, Snapshot: 31; Loss: 0.6928
+[2024-06-09 02:11:20,184 INFO] Epoch:4, Snapshot: 32; Loss: 0.6937
+[2024-06-09 02:11:21,854 INFO] Epoch:4, Snapshot: 33; Loss: 0.6937
+[2024-06-09 02:11:23,528 INFO] Epoch:4, Snapshot: 34; Loss: 0.6940
+[2024-06-09 02:11:25,200 INFO] Epoch:4, Snapshot: 35; Loss: 0.6947
+[2024-06-09 02:11:26,906 INFO] Epoch:4, Snapshot: 36; Loss: 0.6933
+[2024-06-09 02:11:28,640 INFO] Epoch:4, Snapshot: 37; Loss: 0.6931
+[2024-06-09 02:11:30,314 INFO] Epoch:4, Snapshot: 38; Loss: 0.6931
+[2024-06-09 02:11:31,985 INFO] Epoch:4, Snapshot: 39; Loss: 0.6934
+[2024-06-09 02:11:33,689 INFO] Epoch:4, Snapshot: 40; Loss: 0.6942
+[2024-06-09 02:11:35,394 INFO] Epoch:4, Snapshot: 41; Loss: 0.6933
+[2024-06-09 02:12:45,087 INFO] ==========================================================================================
+[2024-06-09 02:12:45,087 INFO] Epoch:4, Loss: 0.6943, Time: 140.861, GPU: 409.3MiB
+[2024-06-09 02:12:45,087 INFO] Epoch:4, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:12:46,804 INFO] Epoch:5, Snapshot: 0; Loss: 0.7120
+[2024-06-09 02:12:48,668 INFO] Epoch:5, Snapshot: 1; Loss: 0.6941
+[2024-06-09 02:12:50,368 INFO] Epoch:5, Snapshot: 2; Loss: 0.6941
+[2024-06-09 02:12:52,167 INFO] Epoch:5, Snapshot: 3; Loss: 0.6939
+[2024-06-09 02:12:53,918 INFO] Epoch:5, Snapshot: 4; Loss: 0.6948
+[2024-06-09 02:12:55,606 INFO] Epoch:5, Snapshot: 5; Loss: 0.6933
+[2024-06-09 02:12:57,483 INFO] Epoch:5, Snapshot: 6; Loss: 0.6934
+[2024-06-09 02:12:59,139 INFO] Epoch:5, Snapshot: 7; Loss: 0.6932
+[2024-06-09 02:13:00,782 INFO] Epoch:5, Snapshot: 8; Loss: 0.6933
+[2024-06-09 02:13:02,704 INFO] Epoch:5, Snapshot: 9; Loss: 0.6934
+[2024-06-09 02:13:04,550 INFO] Epoch:5, Snapshot: 10; Loss: 0.6931
+[2024-06-09 02:13:06,160 INFO] Epoch:5, Snapshot: 11; Loss: 0.6932
+[2024-06-09 02:13:07,818 INFO] Epoch:5, Snapshot: 12; Loss: 0.6949
+[2024-06-09 02:13:09,569 INFO] Epoch:5, Snapshot: 13; Loss: 0.6949
+[2024-06-09 02:13:11,273 INFO] Epoch:5, Snapshot: 14; Loss: 0.6928
+[2024-06-09 02:13:12,914 INFO] Epoch:5, Snapshot: 15; Loss: 0.6949
+[2024-06-09 02:13:14,460 INFO] Epoch:5, Snapshot: 16; Loss: 0.6937
+[2024-06-09 02:13:16,290 INFO] Epoch:5, Snapshot: 17; Loss: 0.6947
+[2024-06-09 02:13:17,997 INFO] Epoch:5, Snapshot: 18; Loss: 0.6932
+[2024-06-09 02:13:19,637 INFO] Epoch:5, Snapshot: 19; Loss: 0.6940
+[2024-06-09 02:13:21,387 INFO] Epoch:5, Snapshot: 20; Loss: 0.6938
+[2024-06-09 02:13:23,167 INFO] Epoch:5, Snapshot: 21; Loss: 0.6936
+[2024-06-09 02:13:24,782 INFO] Epoch:5, Snapshot: 22; Loss: 0.6933
+[2024-06-09 02:13:26,329 INFO] Epoch:5, Snapshot: 23; Loss: 0.6922
+[2024-06-09 02:13:28,017 INFO] Epoch:5, Snapshot: 24; Loss: 0.6931
+[2024-06-09 02:13:29,662 INFO] Epoch:5, Snapshot: 25; Loss: 0.6934
+[2024-06-09 02:13:31,369 INFO] Epoch:5, Snapshot: 26; Loss: 0.6930
+[2024-06-09 02:13:33,039 INFO] Epoch:5, Snapshot: 27; Loss: 0.6923
+[2024-06-09 02:13:34,648 INFO] Epoch:5, Snapshot: 28; Loss: 0.6936
+[2024-06-09 02:13:36,228 INFO] Epoch:5, Snapshot: 29; Loss: 0.6928
+[2024-06-09 02:13:37,918 INFO] Epoch:5, Snapshot: 30; Loss: 0.6938
+[2024-06-09 02:13:39,655 INFO] Epoch:5, Snapshot: 31; Loss: 0.6934
+[2024-06-09 02:13:41,374 INFO] Epoch:5, Snapshot: 32; Loss: 0.6945
+[2024-06-09 02:13:43,015 INFO] Epoch:5, Snapshot: 33; Loss: 0.6938
+[2024-06-09 02:13:44,689 INFO] Epoch:5, Snapshot: 34; Loss: 0.6930
+[2024-06-09 02:13:46,377 INFO] Epoch:5, Snapshot: 35; Loss: 0.6937
+[2024-06-09 02:13:48,115 INFO] Epoch:5, Snapshot: 36; Loss: 0.6934
+[2024-06-09 02:13:49,756 INFO] Epoch:5, Snapshot: 37; Loss: 0.6931
+[2024-06-09 02:13:51,460 INFO] Epoch:5, Snapshot: 38; Loss: 0.6931
+[2024-06-09 02:13:53,212 INFO] Epoch:5, Snapshot: 39; Loss: 0.6931
+[2024-06-09 02:13:54,853 INFO] Epoch:5, Snapshot: 40; Loss: 0.6939
+[2024-06-09 02:13:56,432 INFO] Epoch:5, Snapshot: 41; Loss: 0.6941
+[2024-06-09 02:15:05,839 INFO] ==========================================================================================
+[2024-06-09 02:15:05,839 INFO] Epoch:5, Loss: 0.6940, Time: 140.752, GPU: 409.3MiB
+[2024-06-09 02:15:05,839 INFO] Epoch:5, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:15:07,456 INFO] Epoch:6, Snapshot: 0; Loss: 0.7106
+[2024-06-09 02:15:09,281 INFO] Epoch:6, Snapshot: 1; Loss: 0.6938
+[2024-06-09 02:15:11,032 INFO] Epoch:6, Snapshot: 2; Loss: 0.6934
+[2024-06-09 02:15:12,819 INFO] Epoch:6, Snapshot: 3; Loss: 0.6936
+[2024-06-09 02:15:14,441 INFO] Epoch:6, Snapshot: 4; Loss: 0.6946
+[2024-06-09 02:15:16,161 INFO] Epoch:6, Snapshot: 5; Loss: 0.6933
+[2024-06-09 02:15:18,116 INFO] Epoch:6, Snapshot: 6; Loss: 0.6944
+[2024-06-09 02:15:19,694 INFO] Epoch:6, Snapshot: 7; Loss: 0.6942
+[2024-06-09 02:15:21,399 INFO] Epoch:6, Snapshot: 8; Loss: 0.6943
+[2024-06-09 02:15:23,245 INFO] Epoch:6, Snapshot: 9; Loss: 0.6962
+[2024-06-09 02:15:24,965 INFO] Epoch:6, Snapshot: 10; Loss: 0.6949
+[2024-06-09 02:15:26,576 INFO] Epoch:6, Snapshot: 11; Loss: 0.6932
+[2024-06-09 02:15:28,342 INFO] Epoch:6, Snapshot: 12; Loss: 0.6945
+[2024-06-09 02:15:30,063 INFO] Epoch:6, Snapshot: 13; Loss: 0.6946
+[2024-06-09 02:15:31,704 INFO] Epoch:6, Snapshot: 14; Loss: 0.6929
+[2024-06-09 02:15:33,408 INFO] Epoch:6, Snapshot: 15; Loss: 0.6930
+[2024-06-09 02:15:35,050 INFO] Epoch:6, Snapshot: 16; Loss: 0.6938
+[2024-06-09 02:15:36,774 INFO] Epoch:6, Snapshot: 17; Loss: 0.6932
+[2024-06-09 02:15:38,475 INFO] Epoch:6, Snapshot: 18; Loss: 0.6933
+[2024-06-09 02:15:40,209 INFO] Epoch:6, Snapshot: 19; Loss: 0.6938
+[2024-06-09 02:15:41,835 INFO] Epoch:6, Snapshot: 20; Loss: 0.6931
+[2024-06-09 02:15:43,509 INFO] Epoch:6, Snapshot: 21; Loss: 0.6935
+[2024-06-09 02:15:45,166 INFO] Epoch:6, Snapshot: 22; Loss: 0.6933
+[2024-06-09 02:15:46,745 INFO] Epoch:6, Snapshot: 23; Loss: 0.6922
+[2024-06-09 02:15:48,449 INFO] Epoch:6, Snapshot: 24; Loss: 0.6932
+[2024-06-09 02:15:50,153 INFO] Epoch:6, Snapshot: 25; Loss: 0.6944
+[2024-06-09 02:15:51,812 INFO] Epoch:6, Snapshot: 26; Loss: 0.6937
+[2024-06-09 02:15:53,453 INFO] Epoch:6, Snapshot: 27; Loss: 0.6923
+[2024-06-09 02:15:55,124 INFO] Epoch:6, Snapshot: 28; Loss: 0.6936
+[2024-06-09 02:15:56,642 INFO] Epoch:6, Snapshot: 29; Loss: 0.6928
+[2024-06-09 02:15:58,379 INFO] Epoch:6, Snapshot: 30; Loss: 0.6940
+[2024-06-09 02:16:00,035 INFO] Epoch:6, Snapshot: 31; Loss: 0.6930
+[2024-06-09 02:16:01,709 INFO] Epoch:6, Snapshot: 32; Loss: 0.6936
+[2024-06-09 02:16:03,427 INFO] Epoch:6, Snapshot: 33; Loss: 0.6936
+[2024-06-09 02:16:05,084 INFO] Epoch:6, Snapshot: 34; Loss: 0.6932
+[2024-06-09 02:16:06,728 INFO] Epoch:6, Snapshot: 35; Loss: 0.6937
+[2024-06-09 02:16:08,496 INFO] Epoch:6, Snapshot: 36; Loss: 0.6933
+[2024-06-09 02:16:10,214 INFO] Epoch:6, Snapshot: 37; Loss: 0.6931
+[2024-06-09 02:16:11,872 INFO] Epoch:6, Snapshot: 38; Loss: 0.6932
+[2024-06-09 02:16:13,482 INFO] Epoch:6, Snapshot: 39; Loss: 0.6930
+[2024-06-09 02:16:15,172 INFO] Epoch:6, Snapshot: 40; Loss: 0.6931
+[2024-06-09 02:16:16,783 INFO] Epoch:6, Snapshot: 41; Loss: 0.6934
+[2024-06-09 02:17:26,234 INFO] ==========================================================================================
+[2024-06-09 02:17:26,234 INFO] Epoch:6, Loss: 0.6940, Time: 140.395, GPU: 409.3MiB
+[2024-06-09 02:17:26,234 INFO] Epoch:6, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:17:27,971 INFO] Epoch:7, Snapshot: 0; Loss: 0.7122
+[2024-06-09 02:17:29,815 INFO] Epoch:7, Snapshot: 1; Loss: 0.6937
+[2024-06-09 02:17:31,504 INFO] Epoch:7, Snapshot: 2; Loss: 0.6934
+[2024-06-09 02:17:33,239 INFO] Epoch:7, Snapshot: 3; Loss: 0.6927
+[2024-06-09 02:17:34,960 INFO] Epoch:7, Snapshot: 4; Loss: 0.6941
+[2024-06-09 02:17:36,617 INFO] Epoch:7, Snapshot: 5; Loss: 0.6942
+[2024-06-09 02:17:38,476 INFO] Epoch:7, Snapshot: 6; Loss: 0.6934
+[2024-06-09 02:17:40,182 INFO] Epoch:7, Snapshot: 7; Loss: 0.6932
+[2024-06-09 02:17:41,793 INFO] Epoch:7, Snapshot: 8; Loss: 0.6941
+[2024-06-09 02:17:43,716 INFO] Epoch:7, Snapshot: 9; Loss: 0.6944
+[2024-06-09 02:17:45,467 INFO] Epoch:7, Snapshot: 10; Loss: 0.6931
+[2024-06-09 02:17:47,063 INFO] Epoch:7, Snapshot: 11; Loss: 0.6931
+[2024-06-09 02:17:48,749 INFO] Epoch:7, Snapshot: 12; Loss: 0.6930
+[2024-06-09 02:17:50,501 INFO] Epoch:7, Snapshot: 13; Loss: 0.6930
+[2024-06-09 02:17:52,191 INFO] Epoch:7, Snapshot: 14; Loss: 0.6927
+[2024-06-09 02:17:53,830 INFO] Epoch:7, Snapshot: 15; Loss: 0.6930
+[2024-06-09 02:17:55,442 INFO] Epoch:7, Snapshot: 16; Loss: 0.6939
+[2024-06-09 02:17:57,286 INFO] Epoch:7, Snapshot: 17; Loss: 0.6932
+[2024-06-09 02:17:58,990 INFO] Epoch:7, Snapshot: 18; Loss: 0.6933
+[2024-06-09 02:18:00,649 INFO] Epoch:7, Snapshot: 19; Loss: 0.6934
+[2024-06-09 02:18:02,274 INFO] Epoch:7, Snapshot: 20; Loss: 0.6936
+[2024-06-09 02:18:04,027 INFO] Epoch:7, Snapshot: 21; Loss: 0.6945
+[2024-06-09 02:18:05,747 INFO] Epoch:7, Snapshot: 22; Loss: 0.6933
+[2024-06-09 02:18:07,309 INFO] Epoch:7, Snapshot: 23; Loss: 0.6922
+[2024-06-09 02:18:08,935 INFO] Epoch:7, Snapshot: 24; Loss: 0.6931
+[2024-06-09 02:18:10,670 INFO] Epoch:7, Snapshot: 25; Loss: 0.6934
+[2024-06-09 02:18:12,436 INFO] Epoch:7, Snapshot: 26; Loss: 0.6930
+[2024-06-09 02:18:14,032 INFO] Epoch:7, Snapshot: 27; Loss: 0.6923
+[2024-06-09 02:18:15,611 INFO] Epoch:7, Snapshot: 28; Loss: 0.6936
+[2024-06-09 02:18:17,238 INFO] Epoch:7, Snapshot: 29; Loss: 0.6928
+[2024-06-09 02:18:18,910 INFO] Epoch:7, Snapshot: 30; Loss: 0.6938
+[2024-06-09 02:18:20,554 INFO] Epoch:7, Snapshot: 31; Loss: 0.6934
+[2024-06-09 02:18:22,324 INFO] Epoch:7, Snapshot: 32; Loss: 0.6941
+[2024-06-09 02:18:23,963 INFO] Epoch:7, Snapshot: 33; Loss: 0.6936
+[2024-06-09 02:18:25,558 INFO] Epoch:7, Snapshot: 34; Loss: 0.6930
+[2024-06-09 02:18:27,280 INFO] Epoch:7, Snapshot: 35; Loss: 0.6935
+[2024-06-09 02:18:29,091 INFO] Epoch:7, Snapshot: 36; Loss: 0.6932
+[2024-06-09 02:18:30,733 INFO] Epoch:7, Snapshot: 37; Loss: 0.6931
+[2024-06-09 02:18:32,425 INFO] Epoch:7, Snapshot: 38; Loss: 0.6932
+[2024-06-09 02:18:34,175 INFO] Epoch:7, Snapshot: 39; Loss: 0.6930
+[2024-06-09 02:18:35,817 INFO] Epoch:7, Snapshot: 40; Loss: 0.6931
+[2024-06-09 02:18:37,443 INFO] Epoch:7, Snapshot: 41; Loss: 0.6934
+[2024-06-09 02:19:46,553 INFO] ==========================================================================================
+[2024-06-09 02:19:46,553 INFO] Epoch:7, Loss: 0.6938, Time: 140.319, GPU: 409.3MiB
+[2024-06-09 02:19:46,553 INFO] Epoch:7, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:19:48,178 INFO] Epoch:8, Snapshot: 0; Loss: 0.7095
+[2024-06-09 02:19:50,118 INFO] Epoch:8, Snapshot: 1; Loss: 0.6937
+[2024-06-09 02:19:51,822 INFO] Epoch:8, Snapshot: 2; Loss: 0.6941
+[2024-06-09 02:19:53,658 INFO] Epoch:8, Snapshot: 3; Loss: 0.6936
+[2024-06-09 02:19:55,370 INFO] Epoch:8, Snapshot: 4; Loss: 0.6936
+[2024-06-09 02:19:57,012 INFO] Epoch:8, Snapshot: 5; Loss: 0.6933
+[2024-06-09 02:19:58,873 INFO] Epoch:8, Snapshot: 6; Loss: 0.6934
+[2024-06-09 02:20:00,609 INFO] Epoch:8, Snapshot: 7; Loss: 0.6932
+[2024-06-09 02:20:02,297 INFO] Epoch:8, Snapshot: 8; Loss: 0.6932
+[2024-06-09 02:20:04,156 INFO] Epoch:8, Snapshot: 9; Loss: 0.6959
+[2024-06-09 02:20:05,832 INFO] Epoch:8, Snapshot: 10; Loss: 0.6963
+[2024-06-09 02:20:07,459 INFO] Epoch:8, Snapshot: 11; Loss: 0.6931
+[2024-06-09 02:20:09,210 INFO] Epoch:8, Snapshot: 12; Loss: 0.6946
+[2024-06-09 02:20:10,931 INFO] Epoch:8, Snapshot: 13; Loss: 0.6943
+[2024-06-09 02:20:12,541 INFO] Epoch:8, Snapshot: 14; Loss: 0.6927
+[2024-06-09 02:20:14,135 INFO] Epoch:8, Snapshot: 15; Loss: 0.6941
+[2024-06-09 02:20:15,809 INFO] Epoch:8, Snapshot: 16; Loss: 0.6949
+[2024-06-09 02:20:17,654 INFO] Epoch:8, Snapshot: 17; Loss: 0.6933
+[2024-06-09 02:20:19,309 INFO] Epoch:8, Snapshot: 18; Loss: 0.6933
+[2024-06-09 02:20:21,103 INFO] Epoch:8, Snapshot: 19; Loss: 0.6934
+[2024-06-09 02:20:22,798 INFO] Epoch:8, Snapshot: 20; Loss: 0.6927
+[2024-06-09 02:20:24,472 INFO] Epoch:8, Snapshot: 21; Loss: 0.6935
+[2024-06-09 02:20:26,222 INFO] Epoch:8, Snapshot: 22; Loss: 0.6936
+[2024-06-09 02:20:27,865 INFO] Epoch:8, Snapshot: 23; Loss: 0.6927
+[2024-06-09 02:20:29,490 INFO] Epoch:8, Snapshot: 24; Loss: 0.6935
+[2024-06-09 02:20:31,227 INFO] Epoch:8, Snapshot: 25; Loss: 0.6934
+[2024-06-09 02:20:32,994 INFO] Epoch:8, Snapshot: 26; Loss: 0.6930
+[2024-06-09 02:20:34,573 INFO] Epoch:8, Snapshot: 27; Loss: 0.6926
+[2024-06-09 02:20:36,152 INFO] Epoch:8, Snapshot: 28; Loss: 0.6938
+[2024-06-09 02:20:37,733 INFO] Epoch:8, Snapshot: 29; Loss: 0.6928
+[2024-06-09 02:20:39,516 INFO] Epoch:8, Snapshot: 30; Loss: 0.6937
+[2024-06-09 02:20:41,204 INFO] Epoch:8, Snapshot: 31; Loss: 0.6929
+[2024-06-09 02:20:42,890 INFO] Epoch:8, Snapshot: 32; Loss: 0.6935
+[2024-06-09 02:20:44,609 INFO] Epoch:8, Snapshot: 33; Loss: 0.6935
+[2024-06-09 02:20:46,298 INFO] Epoch:8, Snapshot: 34; Loss: 0.6930
+[2024-06-09 02:20:47,925 INFO] Epoch:8, Snapshot: 35; Loss: 0.6934
+[2024-06-09 02:20:49,661 INFO] Epoch:8, Snapshot: 36; Loss: 0.6933
+[2024-06-09 02:20:51,286 INFO] Epoch:8, Snapshot: 37; Loss: 0.6934
+[2024-06-09 02:20:53,007 INFO] Epoch:8, Snapshot: 38; Loss: 0.6932
+[2024-06-09 02:20:54,759 INFO] Epoch:8, Snapshot: 39; Loss: 0.6929
+[2024-06-09 02:20:56,415 INFO] Epoch:8, Snapshot: 40; Loss: 0.6933
+[2024-06-09 02:20:58,009 INFO] Epoch:8, Snapshot: 41; Loss: 0.6936
+[2024-06-09 02:22:07,639 INFO] ==========================================================================================
+[2024-06-09 02:22:07,639 INFO] Epoch:8, Loss: 0.6939, Time: 141.087, GPU: 409.3MiB
+[2024-06-09 02:22:07,655 INFO] Epoch:8, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:22:09,361 INFO] Epoch:9, Snapshot: 0; Loss: 0.7108
+[2024-06-09 02:22:11,174 INFO] Epoch:9, Snapshot: 1; Loss: 0.6937
+[2024-06-09 02:22:13,002 INFO] Epoch:9, Snapshot: 2; Loss: 0.6934
+[2024-06-09 02:22:14,816 INFO] Epoch:9, Snapshot: 3; Loss: 0.6927
+[2024-06-09 02:22:16,455 INFO] Epoch:9, Snapshot: 4; Loss: 0.6936
+[2024-06-09 02:22:18,209 INFO] Epoch:9, Snapshot: 5; Loss: 0.6933
+[2024-06-09 02:22:20,146 INFO] Epoch:9, Snapshot: 6; Loss: 0.6934
+[2024-06-09 02:22:21,835 INFO] Epoch:9, Snapshot: 7; Loss: 0.6931
+[2024-06-09 02:22:23,452 INFO] Epoch:9, Snapshot: 8; Loss: 0.6937
+[2024-06-09 02:22:25,432 INFO] Epoch:9, Snapshot: 9; Loss: 0.6941
+[2024-06-09 02:22:27,121 INFO] Epoch:9, Snapshot: 10; Loss: 0.6935
+[2024-06-09 02:22:28,700 INFO] Epoch:9, Snapshot: 11; Loss: 0.6930
+[2024-06-09 02:22:30,420 INFO] Epoch:9, Snapshot: 12; Loss: 0.6930
+[2024-06-09 02:22:32,155 INFO] Epoch:9, Snapshot: 13; Loss: 0.6929
+[2024-06-09 02:22:33,766 INFO] Epoch:9, Snapshot: 14; Loss: 0.6926
+[2024-06-09 02:22:35,393 INFO] Epoch:9, Snapshot: 15; Loss: 0.6930
+[2024-06-09 02:22:37,034 INFO] Epoch:9, Snapshot: 16; Loss: 0.6940
+[2024-06-09 02:22:38,863 INFO] Epoch:9, Snapshot: 17; Loss: 0.6933
+[2024-06-09 02:22:40,567 INFO] Epoch:9, Snapshot: 18; Loss: 0.6933
+[2024-06-09 02:22:42,209 INFO] Epoch:9, Snapshot: 19; Loss: 0.6934
+[2024-06-09 02:22:43,819 INFO] Epoch:9, Snapshot: 20; Loss: 0.6927
+[2024-06-09 02:22:45,586 INFO] Epoch:9, Snapshot: 21; Loss: 0.6935
+[2024-06-09 02:22:47,323 INFO] Epoch:9, Snapshot: 22; Loss: 0.6933
+[2024-06-09 02:22:48,884 INFO] Epoch:9, Snapshot: 23; Loss: 0.6922
+[2024-06-09 02:22:50,525 INFO] Epoch:9, Snapshot: 24; Loss: 0.6931
+[2024-06-09 02:22:52,135 INFO] Epoch:9, Snapshot: 25; Loss: 0.6934
+[2024-06-09 02:22:53,950 INFO] Epoch:9, Snapshot: 26; Loss: 0.6933
+[2024-06-09 02:22:55,607 INFO] Epoch:9, Snapshot: 27; Loss: 0.6927
+[2024-06-09 02:22:57,187 INFO] Epoch:9, Snapshot: 28; Loss: 0.6935
+[2024-06-09 02:22:58,766 INFO] Epoch:9, Snapshot: 29; Loss: 0.6928
+[2024-06-09 02:23:00,502 INFO] Epoch:9, Snapshot: 30; Loss: 0.6937
+[2024-06-09 02:23:02,238 INFO] Epoch:9, Snapshot: 31; Loss: 0.6929
+[2024-06-09 02:23:03,909 INFO] Epoch:9, Snapshot: 32; Loss: 0.6935
+[2024-06-09 02:23:05,583 INFO] Epoch:9, Snapshot: 33; Loss: 0.6935
+[2024-06-09 02:23:07,288 INFO] Epoch:9, Snapshot: 34; Loss: 0.6930
+[2024-06-09 02:23:08,962 INFO] Epoch:9, Snapshot: 35; Loss: 0.6934
+[2024-06-09 02:23:10,648 INFO] Epoch:9, Snapshot: 36; Loss: 0.6932
+[2024-06-09 02:23:12,369 INFO] Epoch:9, Snapshot: 37; Loss: 0.6932
+[2024-06-09 02:23:14,073 INFO] Epoch:9, Snapshot: 38; Loss: 0.6932
+[2024-06-09 02:23:15,714 INFO] Epoch:9, Snapshot: 39; Loss: 0.6929
+[2024-06-09 02:23:17,326 INFO] Epoch:9, Snapshot: 40; Loss: 0.6931
+[2024-06-09 02:23:19,000 INFO] Epoch:9, Snapshot: 41; Loss: 0.6942
+[2024-06-09 02:24:28,926 INFO] ==========================================================================================
+[2024-06-09 02:24:28,926 INFO] Epoch:9, Loss: 0.6937, Time: 141.271, GPU: 409.3MiB
+[2024-06-09 02:24:28,926 INFO] Epoch:9, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:24:30,552 INFO] Epoch:10, Snapshot: 0; Loss: 0.7092
+[2024-06-09 02:24:32,350 INFO] Epoch:10, Snapshot: 1; Loss: 0.6945
+[2024-06-09 02:24:34,119 INFO] Epoch:10, Snapshot: 2; Loss: 0.6945
+[2024-06-09 02:24:35,915 INFO] Epoch:10, Snapshot: 3; Loss: 0.6927
+[2024-06-09 02:24:37,541 INFO] Epoch:10, Snapshot: 4; Loss: 0.6944
+[2024-06-09 02:24:39,168 INFO] Epoch:10, Snapshot: 5; Loss: 0.6949
+[2024-06-09 02:24:41,029 INFO] Epoch:10, Snapshot: 6; Loss: 0.6934
+[2024-06-09 02:24:42,638 INFO] Epoch:10, Snapshot: 7; Loss: 0.6946
+[2024-06-09 02:24:44,342 INFO] Epoch:10, Snapshot: 8; Loss: 0.6940
+[2024-06-09 02:24:46,282 INFO] Epoch:10, Snapshot: 9; Loss: 0.6932
+[2024-06-09 02:24:47,984 INFO] Epoch:10, Snapshot: 10; Loss: 0.6932
+[2024-06-09 02:24:49,549 INFO] Epoch:10, Snapshot: 11; Loss: 0.6930
+[2024-06-09 02:24:51,268 INFO] Epoch:10, Snapshot: 12; Loss: 0.6930
+[2024-06-09 02:24:52,974 INFO] Epoch:10, Snapshot: 13; Loss: 0.6929
+[2024-06-09 02:24:54,554 INFO] Epoch:10, Snapshot: 14; Loss: 0.6926
+[2024-06-09 02:24:56,272 INFO] Epoch:10, Snapshot: 15; Loss: 0.6930
+[2024-06-09 02:24:57,883 INFO] Epoch:10, Snapshot: 16; Loss: 0.6941
+[2024-06-09 02:24:59,573 INFO] Epoch:10, Snapshot: 17; Loss: 0.6936
+[2024-06-09 02:25:01,306 INFO] Epoch:10, Snapshot: 18; Loss: 0.6937
+[2024-06-09 02:25:03,011 INFO] Epoch:10, Snapshot: 19; Loss: 0.6936
+[2024-06-09 02:25:04,716 INFO] Epoch:10, Snapshot: 20; Loss: 0.6929
+[2024-06-09 02:25:06,467 INFO] Epoch:10, Snapshot: 21; Loss: 0.6935
+[2024-06-09 02:25:08,137 INFO] Epoch:10, Snapshot: 22; Loss: 0.6933
+[2024-06-09 02:25:09,688 INFO] Epoch:10, Snapshot: 23; Loss: 0.6922
+[2024-06-09 02:25:11,375 INFO] Epoch:10, Snapshot: 24; Loss: 0.6931
+[2024-06-09 02:25:13,079 INFO] Epoch:10, Snapshot: 25; Loss: 0.6934
+[2024-06-09 02:25:14,784 INFO] Epoch:10, Snapshot: 26; Loss: 0.6930
+[2024-06-09 02:25:16,426 INFO] Epoch:10, Snapshot: 27; Loss: 0.6924
+[2024-06-09 02:25:18,068 INFO] Epoch:10, Snapshot: 28; Loss: 0.6935
+[2024-06-09 02:25:19,646 INFO] Epoch:10, Snapshot: 29; Loss: 0.6928
+[2024-06-09 02:25:21,355 INFO] Epoch:10, Snapshot: 30; Loss: 0.6937
+[2024-06-09 02:25:23,071 INFO] Epoch:10, Snapshot: 31; Loss: 0.6929
+[2024-06-09 02:25:24,731 INFO] Epoch:10, Snapshot: 32; Loss: 0.6935
+[2024-06-09 02:25:26,358 INFO] Epoch:10, Snapshot: 33; Loss: 0.6936
+[2024-06-09 02:25:28,028 INFO] Epoch:10, Snapshot: 34; Loss: 0.6932
+[2024-06-09 02:25:29,717 INFO] Epoch:10, Snapshot: 35; Loss: 0.6934
+[2024-06-09 02:25:31,420 INFO] Epoch:10, Snapshot: 36; Loss: 0.6932
+[2024-06-09 02:25:33,109 INFO] Epoch:10, Snapshot: 37; Loss: 0.6932
+[2024-06-09 02:25:34,844 INFO] Epoch:10, Snapshot: 38; Loss: 0.6932
+[2024-06-09 02:25:36,469 INFO] Epoch:10, Snapshot: 39; Loss: 0.6929
+[2024-06-09 02:25:38,112 INFO] Epoch:10, Snapshot: 40; Loss: 0.6932
+[2024-06-09 02:25:39,798 INFO] Epoch:10, Snapshot: 41; Loss: 0.6937
+[2024-06-09 02:26:49,481 INFO] ==========================================================================================
+[2024-06-09 02:26:49,481 INFO] Epoch:10, Loss: 0.6938, Time: 140.539, GPU: 409.3MiB
+[2024-06-09 02:26:49,481 INFO] Epoch:10, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:26:51,201 INFO] Epoch:11, Snapshot: 0; Loss: 0.7094
+[2024-06-09 02:26:53,016 INFO] Epoch:11, Snapshot: 1; Loss: 0.6937
+[2024-06-09 02:26:54,688 INFO] Epoch:11, Snapshot: 2; Loss: 0.6934
+[2024-06-09 02:26:56,501 INFO] Epoch:11, Snapshot: 3; Loss: 0.6930
+[2024-06-09 02:26:58,191 INFO] Epoch:11, Snapshot: 4; Loss: 0.6935
+[2024-06-09 02:26:59,865 INFO] Epoch:11, Snapshot: 5; Loss: 0.6936
+[2024-06-09 02:27:01,835 INFO] Epoch:11, Snapshot: 6; Loss: 0.6934
+[2024-06-09 02:27:03,554 INFO] Epoch:11, Snapshot: 7; Loss: 0.6931
+[2024-06-09 02:27:05,135 INFO] Epoch:11, Snapshot: 8; Loss: 0.6932
+[2024-06-09 02:27:06,934 INFO] Epoch:11, Snapshot: 9; Loss: 0.6932
+[2024-06-09 02:27:08,731 INFO] Epoch:11, Snapshot: 10; Loss: 0.6934
+[2024-06-09 02:27:10,390 INFO] Epoch:11, Snapshot: 11; Loss: 0.6932
+[2024-06-09 02:27:12,048 INFO] Epoch:11, Snapshot: 12; Loss: 0.6930
+[2024-06-09 02:27:13,720 INFO] Epoch:11, Snapshot: 13; Loss: 0.6933
+[2024-06-09 02:27:15,409 INFO] Epoch:11, Snapshot: 14; Loss: 0.6930
+[2024-06-09 02:27:17,145 INFO] Epoch:11, Snapshot: 15; Loss: 0.6930
+[2024-06-09 02:27:18,738 INFO] Epoch:11, Snapshot: 16; Loss: 0.6941
+[2024-06-09 02:27:20,553 INFO] Epoch:11, Snapshot: 17; Loss: 0.6933
+[2024-06-09 02:27:22,241 INFO] Epoch:11, Snapshot: 18; Loss: 0.6937
+[2024-06-09 02:27:23,867 INFO] Epoch:11, Snapshot: 19; Loss: 0.6934
+[2024-06-09 02:27:25,588 INFO] Epoch:11, Snapshot: 20; Loss: 0.6930
+[2024-06-09 02:27:27,324 INFO] Epoch:11, Snapshot: 21; Loss: 0.6935
+[2024-06-09 02:27:28,981 INFO] Epoch:11, Snapshot: 22; Loss: 0.6933
+[2024-06-09 02:27:30,654 INFO] Epoch:11, Snapshot: 23; Loss: 0.6922
+[2024-06-09 02:27:32,343 INFO] Epoch:11, Snapshot: 24; Loss: 0.6934
+[2024-06-09 02:27:33,970 INFO] Epoch:11, Snapshot: 25; Loss: 0.6937
+[2024-06-09 02:27:35,627 INFO] Epoch:11, Snapshot: 26; Loss: 0.6930
+[2024-06-09 02:27:37,268 INFO] Epoch:11, Snapshot: 27; Loss: 0.6925
+[2024-06-09 02:27:38,911 INFO] Epoch:11, Snapshot: 28; Loss: 0.6935
+[2024-06-09 02:27:40,490 INFO] Epoch:11, Snapshot: 29; Loss: 0.6929
+[2024-06-09 02:27:42,209 INFO] Epoch:11, Snapshot: 30; Loss: 0.6937
+[2024-06-09 02:27:43,865 INFO] Epoch:11, Snapshot: 31; Loss: 0.6929
+[2024-06-09 02:27:45,571 INFO] Epoch:11, Snapshot: 32; Loss: 0.6934
+[2024-06-09 02:27:47,261 INFO] Epoch:11, Snapshot: 33; Loss: 0.6935
+[2024-06-09 02:27:48,932 INFO] Epoch:11, Snapshot: 34; Loss: 0.6930
+[2024-06-09 02:27:50,558 INFO] Epoch:11, Snapshot: 35; Loss: 0.6934
+[2024-06-09 02:27:52,358 INFO] Epoch:11, Snapshot: 36; Loss: 0.6932
+[2024-06-09 02:27:54,093 INFO] Epoch:11, Snapshot: 37; Loss: 0.6932
+[2024-06-09 02:27:55,767 INFO] Epoch:11, Snapshot: 38; Loss: 0.6933
+[2024-06-09 02:27:57,518 INFO] Epoch:11, Snapshot: 39; Loss: 0.6930
+[2024-06-09 02:27:59,206 INFO] Epoch:11, Snapshot: 40; Loss: 0.6931
+[2024-06-09 02:28:00,770 INFO] Epoch:11, Snapshot: 41; Loss: 0.6934
+[2024-06-09 02:29:10,303 INFO] ==========================================================================================
+[2024-06-09 02:29:10,303 INFO] Epoch:11, Loss: 0.6936, Time: 140.822, GPU: 409.3MiB
+[2024-06-09 02:29:10,303 INFO] Epoch:11, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:29:11,976 INFO] Epoch:12, Snapshot: 0; Loss: 0.7093
+[2024-06-09 02:29:13,821 INFO] Epoch:12, Snapshot: 1; Loss: 0.6937
+[2024-06-09 02:29:15,604 INFO] Epoch:12, Snapshot: 2; Loss: 0.6934
+[2024-06-09 02:29:17,402 INFO] Epoch:12, Snapshot: 3; Loss: 0.6927
+[2024-06-09 02:29:19,028 INFO] Epoch:12, Snapshot: 4; Loss: 0.6935
+[2024-06-09 02:29:20,779 INFO] Epoch:12, Snapshot: 5; Loss: 0.6933
+[2024-06-09 02:29:22,749 INFO] Epoch:12, Snapshot: 6; Loss: 0.6933
+[2024-06-09 02:29:24,376 INFO] Epoch:12, Snapshot: 7; Loss: 0.6931
+[2024-06-09 02:29:26,000 INFO] Epoch:12, Snapshot: 8; Loss: 0.6937
+[2024-06-09 02:29:27,957 INFO] Epoch:12, Snapshot: 9; Loss: 0.6938
+[2024-06-09 02:29:29,691 INFO] Epoch:12, Snapshot: 10; Loss: 0.6932
+[2024-06-09 02:29:31,304 INFO] Epoch:12, Snapshot: 11; Loss: 0.6932
+[2024-06-09 02:29:33,054 INFO] Epoch:12, Snapshot: 12; Loss: 0.6932
+[2024-06-09 02:29:34,805 INFO] Epoch:12, Snapshot: 13; Loss: 0.6929
+[2024-06-09 02:29:36,431 INFO] Epoch:12, Snapshot: 14; Loss: 0.6930
+[2024-06-09 02:29:38,150 INFO] Epoch:12, Snapshot: 15; Loss: 0.6934
+[2024-06-09 02:29:39,776 INFO] Epoch:12, Snapshot: 16; Loss: 0.6941
+[2024-06-09 02:29:41,511 INFO] Epoch:12, Snapshot: 17; Loss: 0.6933
+[2024-06-09 02:29:43,293 INFO] Epoch:12, Snapshot: 18; Loss: 0.6934
+[2024-06-09 02:29:45,015 INFO] Epoch:12, Snapshot: 19; Loss: 0.6934
+[2024-06-09 02:29:46,610 INFO] Epoch:12, Snapshot: 20; Loss: 0.6927
+[2024-06-09 02:29:48,345 INFO] Epoch:12, Snapshot: 21; Loss: 0.6937
+[2024-06-09 02:29:50,065 INFO] Epoch:12, Snapshot: 22; Loss: 0.6934
+[2024-06-09 02:29:51,597 INFO] Epoch:12, Snapshot: 23; Loss: 0.6922
+[2024-06-09 02:29:53,270 INFO] Epoch:12, Snapshot: 24; Loss: 0.6931
+[2024-06-09 02:29:54,974 INFO] Epoch:12, Snapshot: 25; Loss: 0.6936
+[2024-06-09 02:29:56,678 INFO] Epoch:12, Snapshot: 26; Loss: 0.6932
+[2024-06-09 02:29:58,335 INFO] Epoch:12, Snapshot: 27; Loss: 0.6924
+[2024-06-09 02:29:59,992 INFO] Epoch:12, Snapshot: 28; Loss: 0.6935
+[2024-06-09 02:30:01,509 INFO] Epoch:12, Snapshot: 29; Loss: 0.6929
+[2024-06-09 02:30:03,213 INFO] Epoch:12, Snapshot: 30; Loss: 0.6936
+[2024-06-09 02:30:04,949 INFO] Epoch:12, Snapshot: 31; Loss: 0.6929
+[2024-06-09 02:30:06,654 INFO] Epoch:12, Snapshot: 32; Loss: 0.6934
+[2024-06-09 02:30:08,265 INFO] Epoch:12, Snapshot: 33; Loss: 0.6934
+[2024-06-09 02:30:09,874 INFO] Epoch:12, Snapshot: 34; Loss: 0.6931
+[2024-06-09 02:30:11,548 INFO] Epoch:12, Snapshot: 35; Loss: 0.6934
+[2024-06-09 02:30:13,346 INFO] Epoch:12, Snapshot: 36; Loss: 0.6932
+[2024-06-09 02:30:14,956 INFO] Epoch:12, Snapshot: 37; Loss: 0.6932
+[2024-06-09 02:30:16,566 INFO] Epoch:12, Snapshot: 38; Loss: 0.6932
+[2024-06-09 02:30:18,316 INFO] Epoch:12, Snapshot: 39; Loss: 0.6929
+[2024-06-09 02:30:19,975 INFO] Epoch:12, Snapshot: 40; Loss: 0.6931
+[2024-06-09 02:30:21,554 INFO] Epoch:12, Snapshot: 41; Loss: 0.6934
+[2024-06-09 02:31:31,096 INFO] ==========================================================================================
+[2024-06-09 02:31:31,096 INFO] Epoch:12, Loss: 0.6936, Time: 140.793, GPU: 409.3MiB
+[2024-06-09 02:31:31,096 INFO] Epoch:12, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:31:32,769 INFO] Epoch:13, Snapshot: 0; Loss: 0.7093
+[2024-06-09 02:31:34,599 INFO] Epoch:13, Snapshot: 1; Loss: 0.6937
+[2024-06-09 02:31:36,350 INFO] Epoch:13, Snapshot: 2; Loss: 0.6936
+[2024-06-09 02:31:38,225 INFO] Epoch:13, Snapshot: 3; Loss: 0.6930
+[2024-06-09 02:31:39,836 INFO] Epoch:13, Snapshot: 4; Loss: 0.6935
+[2024-06-09 02:31:41,602 INFO] Epoch:13, Snapshot: 5; Loss: 0.6933
+[2024-06-09 02:31:43,542 INFO] Epoch:13, Snapshot: 6; Loss: 0.6933
+[2024-06-09 02:31:45,199 INFO] Epoch:13, Snapshot: 7; Loss: 0.6932
+[2024-06-09 02:31:46,792 INFO] Epoch:13, Snapshot: 8; Loss: 0.6933
+[2024-06-09 02:31:48,764 INFO] Epoch:13, Snapshot: 9; Loss: 0.6932
+[2024-06-09 02:31:50,578 INFO] Epoch:13, Snapshot: 10; Loss: 0.6932
+[2024-06-09 02:31:52,157 INFO] Epoch:13, Snapshot: 11; Loss: 0.6929
+[2024-06-09 02:31:53,799 INFO] Epoch:13, Snapshot: 12; Loss: 0.6930
+[2024-06-09 02:31:55,536 INFO] Epoch:13, Snapshot: 13; Loss: 0.6929
+[2024-06-09 02:31:57,224 INFO] Epoch:13, Snapshot: 14; Loss: 0.6926
+[2024-06-09 02:31:58,803 INFO] Epoch:13, Snapshot: 15; Loss: 0.6930
+[2024-06-09 02:32:00,445 INFO] Epoch:13, Snapshot: 16; Loss: 0.6943
+[2024-06-09 02:32:02,211 INFO] Epoch:13, Snapshot: 17; Loss: 0.6936
+[2024-06-09 02:32:03,854 INFO] Epoch:13, Snapshot: 18; Loss: 0.6937
+[2024-06-09 02:32:05,620 INFO] Epoch:13, Snapshot: 19; Loss: 0.6938
+[2024-06-09 02:32:07,339 INFO] Epoch:13, Snapshot: 20; Loss: 0.6930
+[2024-06-09 02:32:08,997 INFO] Epoch:13, Snapshot: 21; Loss: 0.6936
+[2024-06-09 02:32:10,626 INFO] Epoch:13, Snapshot: 22; Loss: 0.6933
+[2024-06-09 02:32:12,267 INFO] Epoch:13, Snapshot: 23; Loss: 0.6922
+[2024-06-09 02:32:13,907 INFO] Epoch:13, Snapshot: 24; Loss: 0.6931
+[2024-06-09 02:32:15,532 INFO] Epoch:13, Snapshot: 25; Loss: 0.6933
+[2024-06-09 02:32:17,238 INFO] Epoch:13, Snapshot: 26; Loss: 0.6930
+[2024-06-09 02:32:18,832 INFO] Epoch:13, Snapshot: 27; Loss: 0.6924
+[2024-06-09 02:32:20,474 INFO] Epoch:13, Snapshot: 28; Loss: 0.6935
+[2024-06-09 02:32:22,036 INFO] Epoch:13, Snapshot: 29; Loss: 0.6929
+[2024-06-09 02:32:23,648 INFO] Epoch:13, Snapshot: 30; Loss: 0.6936
+[2024-06-09 02:32:25,352 INFO] Epoch:13, Snapshot: 31; Loss: 0.6929
+[2024-06-09 02:32:27,120 INFO] Epoch:13, Snapshot: 32; Loss: 0.6934
+[2024-06-09 02:32:28,762 INFO] Epoch:13, Snapshot: 33; Loss: 0.6934
+[2024-06-09 02:32:30,480 INFO] Epoch:13, Snapshot: 34; Loss: 0.6930
+[2024-06-09 02:32:32,214 INFO] Epoch:13, Snapshot: 35; Loss: 0.6933
+[2024-06-09 02:32:33,888 INFO] Epoch:13, Snapshot: 36; Loss: 0.6932
+[2024-06-09 02:32:35,624 INFO] Epoch:13, Snapshot: 37; Loss: 0.6932
+[2024-06-09 02:32:37,361 INFO] Epoch:13, Snapshot: 38; Loss: 0.6932
+[2024-06-09 02:32:38,987 INFO] Epoch:13, Snapshot: 39; Loss: 0.6929
+[2024-06-09 02:32:40,650 INFO] Epoch:13, Snapshot: 40; Loss: 0.6931
+[2024-06-09 02:32:42,224 INFO] Epoch:13, Snapshot: 41; Loss: 0.6935
+[2024-06-09 02:33:52,001 INFO] ==========================================================================================
+[2024-06-09 02:33:52,001 INFO] Epoch:13, Loss: 0.6936, Time: 140.905, GPU: 409.3MiB
+[2024-06-09 02:33:52,001 INFO] Epoch:13, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:33:53,674 INFO] Epoch:14, Snapshot: 0; Loss: 0.7093
+[2024-06-09 02:33:55,504 INFO] Epoch:14, Snapshot: 1; Loss: 0.6938
+[2024-06-09 02:33:57,239 INFO] Epoch:14, Snapshot: 2; Loss: 0.6935
+[2024-06-09 02:33:58,942 INFO] Epoch:14, Snapshot: 3; Loss: 0.6928
+[2024-06-09 02:34:00,585 INFO] Epoch:14, Snapshot: 4; Loss: 0.6935
+[2024-06-09 02:34:02,243 INFO] Epoch:14, Snapshot: 5; Loss: 0.6934
+[2024-06-09 02:34:04,212 INFO] Epoch:14, Snapshot: 6; Loss: 0.6934
+[2024-06-09 02:34:05,853 INFO] Epoch:14, Snapshot: 7; Loss: 0.6931
+[2024-06-09 02:34:07,527 INFO] Epoch:14, Snapshot: 8; Loss: 0.6932
+[2024-06-09 02:34:09,482 INFO] Epoch:14, Snapshot: 9; Loss: 0.6934
+[2024-06-09 02:34:11,217 INFO] Epoch:14, Snapshot: 10; Loss: 0.6932
+[2024-06-09 02:34:12,781 INFO] Epoch:14, Snapshot: 11; Loss: 0.6931
+[2024-06-09 02:34:14,438 INFO] Epoch:14, Snapshot: 12; Loss: 0.6930
+[2024-06-09 02:34:16,157 INFO] Epoch:14, Snapshot: 13; Loss: 0.6929
+[2024-06-09 02:34:17,831 INFO] Epoch:14, Snapshot: 14; Loss: 0.6926
+[2024-06-09 02:34:19,472 INFO] Epoch:14, Snapshot: 15; Loss: 0.6930
+[2024-06-09 02:34:21,051 INFO] Epoch:14, Snapshot: 16; Loss: 0.6942
+[2024-06-09 02:34:22,913 INFO] Epoch:14, Snapshot: 17; Loss: 0.6933
+[2024-06-09 02:34:24,648 INFO] Epoch:14, Snapshot: 18; Loss: 0.6934
+[2024-06-09 02:34:26,350 INFO] Epoch:14, Snapshot: 19; Loss: 0.6937
+[2024-06-09 02:34:27,993 INFO] Epoch:14, Snapshot: 20; Loss: 0.6930
+[2024-06-09 02:34:29,714 INFO] Epoch:14, Snapshot: 21; Loss: 0.6936
+[2024-06-09 02:34:31,465 INFO] Epoch:14, Snapshot: 22; Loss: 0.6933
+[2024-06-09 02:34:33,027 INFO] Epoch:14, Snapshot: 23; Loss: 0.6922
+[2024-06-09 02:34:34,639 INFO] Epoch:14, Snapshot: 24; Loss: 0.6932
+[2024-06-09 02:34:36,342 INFO] Epoch:14, Snapshot: 25; Loss: 0.6934
+[2024-06-09 02:34:38,156 INFO] Epoch:14, Snapshot: 26; Loss: 0.6930
+[2024-06-09 02:34:39,746 INFO] Epoch:14, Snapshot: 27; Loss: 0.6924
+[2024-06-09 02:34:41,269 INFO] Epoch:14, Snapshot: 28; Loss: 0.6935
+[2024-06-09 02:34:42,754 INFO] Epoch:14, Snapshot: 29; Loss: 0.6929
+[2024-06-09 02:34:44,426 INFO] Epoch:14, Snapshot: 30; Loss: 0.6936
+[2024-06-09 02:34:46,076 INFO] Epoch:14, Snapshot: 31; Loss: 0.6929
+[2024-06-09 02:34:47,758 INFO] Epoch:14, Snapshot: 32; Loss: 0.6934
+[2024-06-09 02:34:49,508 INFO] Epoch:14, Snapshot: 33; Loss: 0.6934
+[2024-06-09 02:34:51,230 INFO] Epoch:14, Snapshot: 34; Loss: 0.6932
+[2024-06-09 02:34:52,857 INFO] Epoch:14, Snapshot: 35; Loss: 0.6935
+[2024-06-09 02:34:54,591 INFO] Epoch:14, Snapshot: 36; Loss: 0.6932
+[2024-06-09 02:34:56,296 INFO] Epoch:14, Snapshot: 37; Loss: 0.6933
+[2024-06-09 02:34:58,015 INFO] Epoch:14, Snapshot: 38; Loss: 0.6932
+[2024-06-09 02:34:59,671 INFO] Epoch:14, Snapshot: 39; Loss: 0.6929
+[2024-06-09 02:35:01,282 INFO] Epoch:14, Snapshot: 40; Loss: 0.6932
+[2024-06-09 02:35:02,929 INFO] Epoch:14, Snapshot: 41; Loss: 0.6935
+[2024-06-09 02:36:12,606 INFO] ==========================================================================================
+[2024-06-09 02:36:12,606 INFO] Epoch:14, Loss: 0.6936, Time: 140.589, GPU: 409.3MiB
+[2024-06-09 02:36:12,606 INFO] Epoch:14, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:36:14,280 INFO] Epoch:15, Snapshot: 0; Loss: 0.7092
+[2024-06-09 02:36:16,110 INFO] Epoch:15, Snapshot: 1; Loss: 0.6938
+[2024-06-09 02:36:17,907 INFO] Epoch:15, Snapshot: 2; Loss: 0.6934
+[2024-06-09 02:36:19,721 INFO] Epoch:15, Snapshot: 3; Loss: 0.6927
+[2024-06-09 02:36:21,347 INFO] Epoch:15, Snapshot: 4; Loss: 0.6936
+[2024-06-09 02:36:23,014 INFO] Epoch:15, Snapshot: 5; Loss: 0.6933
+[2024-06-09 02:36:24,988 INFO] Epoch:15, Snapshot: 6; Loss: 0.6933
+[2024-06-09 02:36:26,663 INFO] Epoch:15, Snapshot: 7; Loss: 0.6931
+[2024-06-09 02:36:28,289 INFO] Epoch:15, Snapshot: 8; Loss: 0.6932
+[2024-06-09 02:36:30,118 INFO] Epoch:15, Snapshot: 9; Loss: 0.6931
+[2024-06-09 02:36:31,916 INFO] Epoch:15, Snapshot: 10; Loss: 0.6932
+[2024-06-09 02:36:33,653 INFO] Epoch:15, Snapshot: 11; Loss: 0.6929
+[2024-06-09 02:36:35,278 INFO] Epoch:15, Snapshot: 12; Loss: 0.6929
+[2024-06-09 02:36:36,904 INFO] Epoch:15, Snapshot: 13; Loss: 0.6928
+[2024-06-09 02:36:38,576 INFO] Epoch:15, Snapshot: 14; Loss: 0.6926
+[2024-06-09 02:36:40,220 INFO] Epoch:15, Snapshot: 15; Loss: 0.6931
+[2024-06-09 02:36:41,814 INFO] Epoch:15, Snapshot: 16; Loss: 0.6942
+[2024-06-09 02:36:43,644 INFO] Epoch:15, Snapshot: 17; Loss: 0.6933
+[2024-06-09 02:36:45,379 INFO] Epoch:15, Snapshot: 18; Loss: 0.6934
+[2024-06-09 02:36:47,005 INFO] Epoch:15, Snapshot: 19; Loss: 0.6935
+[2024-06-09 02:36:48,726 INFO] Epoch:15, Snapshot: 20; Loss: 0.6927
+[2024-06-09 02:36:50,492 INFO] Epoch:15, Snapshot: 21; Loss: 0.6935
+[2024-06-09 02:36:52,134 INFO] Epoch:15, Snapshot: 22; Loss: 0.6933
+[2024-06-09 02:36:53,698 INFO] Epoch:15, Snapshot: 23; Loss: 0.6922
+[2024-06-09 02:36:55,408 INFO] Epoch:15, Snapshot: 24; Loss: 0.6931
+[2024-06-09 02:36:57,137 INFO] Epoch:15, Snapshot: 25; Loss: 0.6933
+[2024-06-09 02:36:58,826 INFO] Epoch:15, Snapshot: 26; Loss: 0.6930
+[2024-06-09 02:37:00,483 INFO] Epoch:15, Snapshot: 27; Loss: 0.6925
+[2024-06-09 02:37:02,125 INFO] Epoch:15, Snapshot: 28; Loss: 0.6935
+[2024-06-09 02:37:03,673 INFO] Epoch:15, Snapshot: 29; Loss: 0.6929
+[2024-06-09 02:37:05,362 INFO] Epoch:15, Snapshot: 30; Loss: 0.6936
+[2024-06-09 02:37:07,065 INFO] Epoch:15, Snapshot: 31; Loss: 0.6930
+[2024-06-09 02:37:08,737 INFO] Epoch:15, Snapshot: 32; Loss: 0.6935
+[2024-06-09 02:37:10,444 INFO] Epoch:15, Snapshot: 33; Loss: 0.6934
+[2024-06-09 02:37:12,147 INFO] Epoch:15, Snapshot: 34; Loss: 0.6931
+[2024-06-09 02:37:13,774 INFO] Epoch:15, Snapshot: 35; Loss: 0.6933
+[2024-06-09 02:37:15,587 INFO] Epoch:15, Snapshot: 36; Loss: 0.6932
+[2024-06-09 02:37:17,307 INFO] Epoch:15, Snapshot: 37; Loss: 0.6932
+[2024-06-09 02:37:18,918 INFO] Epoch:15, Snapshot: 38; Loss: 0.6932
+[2024-06-09 02:37:20,668 INFO] Epoch:15, Snapshot: 39; Loss: 0.6929
+[2024-06-09 02:37:22,390 INFO] Epoch:15, Snapshot: 40; Loss: 0.6931
+[2024-06-09 02:37:24,013 INFO] Epoch:15, Snapshot: 41; Loss: 0.6934
+[2024-06-09 02:38:33,433 INFO] ==========================================================================================
+[2024-06-09 02:38:33,433 INFO] Epoch:15, Loss: 0.6936, Time: 140.826, GPU: 409.3MiB
+[2024-06-09 02:38:33,433 INFO] Epoch:15, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:38:35,156 INFO] Epoch:16, Snapshot: 0; Loss: 0.7090
+[2024-06-09 02:38:37,000 INFO] Epoch:16, Snapshot: 1; Loss: 0.6937
+[2024-06-09 02:38:38,656 INFO] Epoch:16, Snapshot: 2; Loss: 0.6934
+[2024-06-09 02:38:40,438 INFO] Epoch:16, Snapshot: 3; Loss: 0.6927
+[2024-06-09 02:38:42,158 INFO] Epoch:16, Snapshot: 4; Loss: 0.6935
+[2024-06-09 02:38:43,799 INFO] Epoch:16, Snapshot: 5; Loss: 0.6933
+[2024-06-09 02:38:45,707 INFO] Epoch:16, Snapshot: 6; Loss: 0.6933
+[2024-06-09 02:38:47,317 INFO] Epoch:16, Snapshot: 7; Loss: 0.6931
+[2024-06-09 02:38:49,022 INFO] Epoch:16, Snapshot: 8; Loss: 0.6932
+[2024-06-09 02:38:50,981 INFO] Epoch:16, Snapshot: 9; Loss: 0.6932
+[2024-06-09 02:38:52,680 INFO] Epoch:16, Snapshot: 10; Loss: 0.6932
+[2024-06-09 02:38:54,306 INFO] Epoch:16, Snapshot: 11; Loss: 0.6930
+[2024-06-09 02:38:56,057 INFO] Epoch:16, Snapshot: 12; Loss: 0.6930
+[2024-06-09 02:38:57,776 INFO] Epoch:16, Snapshot: 13; Loss: 0.6929
+[2024-06-09 02:38:59,403 INFO] Epoch:16, Snapshot: 14; Loss: 0.6925
+[2024-06-09 02:39:01,013 INFO] Epoch:16, Snapshot: 15; Loss: 0.6930
+[2024-06-09 02:39:02,687 INFO] Epoch:16, Snapshot: 16; Loss: 0.6942
+[2024-06-09 02:39:04,515 INFO] Epoch:16, Snapshot: 17; Loss: 0.6933
+[2024-06-09 02:39:06,126 INFO] Epoch:16, Snapshot: 18; Loss: 0.6934
+[2024-06-09 02:39:07,878 INFO] Epoch:16, Snapshot: 19; Loss: 0.6934
+[2024-06-09 02:39:09,612 INFO] Epoch:16, Snapshot: 20; Loss: 0.6927
+[2024-06-09 02:39:11,254 INFO] Epoch:16, Snapshot: 21; Loss: 0.6935
+[2024-06-09 02:39:12,883 INFO] Epoch:16, Snapshot: 22; Loss: 0.6934
+[2024-06-09 02:39:14,538 INFO] Epoch:16, Snapshot: 23; Loss: 0.6922
+[2024-06-09 02:39:16,164 INFO] Epoch:16, Snapshot: 24; Loss: 0.6932
+[2024-06-09 02:39:17,773 INFO] Epoch:16, Snapshot: 25; Loss: 0.6934
+[2024-06-09 02:39:19,525 INFO] Epoch:16, Snapshot: 26; Loss: 0.6930
+[2024-06-09 02:39:21,137 INFO] Epoch:16, Snapshot: 27; Loss: 0.6924
+[2024-06-09 02:39:22,699 INFO] Epoch:16, Snapshot: 28; Loss: 0.6935
+[2024-06-09 02:39:24,339 INFO] Epoch:16, Snapshot: 29; Loss: 0.6929
+[2024-06-09 02:39:26,061 INFO] Epoch:16, Snapshot: 30; Loss: 0.6936
+[2024-06-09 02:39:27,686 INFO] Epoch:16, Snapshot: 31; Loss: 0.6929
+[2024-06-09 02:39:29,441 INFO] Epoch:16, Snapshot: 32; Loss: 0.6934
+[2024-06-09 02:39:31,157 INFO] Epoch:16, Snapshot: 33; Loss: 0.6934
+[2024-06-09 02:39:32,767 INFO] Epoch:16, Snapshot: 34; Loss: 0.6930
+[2024-06-09 02:39:34,424 INFO] Epoch:16, Snapshot: 35; Loss: 0.6933
+[2024-06-09 02:39:36,260 INFO] Epoch:16, Snapshot: 36; Loss: 0.6932
+[2024-06-09 02:39:37,974 INFO] Epoch:16, Snapshot: 37; Loss: 0.6932
+[2024-06-09 02:39:39,601 INFO] Epoch:16, Snapshot: 38; Loss: 0.6932
+[2024-06-09 02:39:41,242 INFO] Epoch:16, Snapshot: 39; Loss: 0.6928
+[2024-06-09 02:39:42,993 INFO] Epoch:16, Snapshot: 40; Loss: 0.6931
+[2024-06-09 02:39:44,651 INFO] Epoch:16, Snapshot: 41; Loss: 0.6934
+[2024-06-09 02:40:54,168 INFO] ==========================================================================================
+[2024-06-09 02:40:54,168 INFO] Epoch:16, Loss: 0.6936, Time: 140.735, GPU: 409.3MiB
+[2024-06-09 02:40:54,168 INFO] Epoch:16, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:40:55,871 INFO] Epoch:17, Snapshot: 0; Loss: 0.7089
+[2024-06-09 02:40:57,731 INFO] Epoch:17, Snapshot: 1; Loss: 0.6938
+[2024-06-09 02:40:59,448 INFO] Epoch:17, Snapshot: 2; Loss: 0.6935
+[2024-06-09 02:41:01,263 INFO] Epoch:17, Snapshot: 3; Loss: 0.6927
+[2024-06-09 02:41:02,953 INFO] Epoch:17, Snapshot: 4; Loss: 0.6935
+[2024-06-09 02:41:04,610 INFO] Epoch:17, Snapshot: 5; Loss: 0.6933
+[2024-06-09 02:41:06,597 INFO] Epoch:17, Snapshot: 6; Loss: 0.6934
+[2024-06-09 02:41:08,332 INFO] Epoch:17, Snapshot: 7; Loss: 0.6932
+[2024-06-09 02:41:09,972 INFO] Epoch:17, Snapshot: 8; Loss: 0.6932
+[2024-06-09 02:41:11,724 INFO] Epoch:17, Snapshot: 9; Loss: 0.6931
+[2024-06-09 02:41:13,491 INFO] Epoch:17, Snapshot: 10; Loss: 0.6932
+[2024-06-09 02:41:15,086 INFO] Epoch:17, Snapshot: 11; Loss: 0.6929
+[2024-06-09 02:41:16,727 INFO] Epoch:17, Snapshot: 12; Loss: 0.6929
+[2024-06-09 02:41:18,480 INFO] Epoch:17, Snapshot: 13; Loss: 0.6928
+[2024-06-09 02:41:20,137 INFO] Epoch:17, Snapshot: 14; Loss: 0.6926
+[2024-06-09 02:41:21,733 INFO] Epoch:17, Snapshot: 15; Loss: 0.6931
+[2024-06-09 02:41:23,373 INFO] Epoch:17, Snapshot: 16; Loss: 0.6942
+[2024-06-09 02:41:25,233 INFO] Epoch:17, Snapshot: 17; Loss: 0.6933
+[2024-06-09 02:41:26,874 INFO] Epoch:17, Snapshot: 18; Loss: 0.6934
+[2024-06-09 02:41:28,594 INFO] Epoch:17, Snapshot: 19; Loss: 0.6934
+[2024-06-09 02:41:30,299 INFO] Epoch:17, Snapshot: 20; Loss: 0.6927
+[2024-06-09 02:41:31,957 INFO] Epoch:17, Snapshot: 21; Loss: 0.6935
+[2024-06-09 02:41:33,706 INFO] Epoch:17, Snapshot: 22; Loss: 0.6933
+[2024-06-09 02:41:35,334 INFO] Epoch:17, Snapshot: 23; Loss: 0.6923
+[2024-06-09 02:41:36,959 INFO] Epoch:17, Snapshot: 24; Loss: 0.6931
+[2024-06-09 02:41:38,584 INFO] Epoch:17, Snapshot: 25; Loss: 0.6933
+[2024-06-09 02:41:40,382 INFO] Epoch:17, Snapshot: 26; Loss: 0.6930
+[2024-06-09 02:41:42,070 INFO] Epoch:17, Snapshot: 27; Loss: 0.6925
+[2024-06-09 02:41:43,649 INFO] Epoch:17, Snapshot: 28; Loss: 0.6934
+[2024-06-09 02:41:45,227 INFO] Epoch:17, Snapshot: 29; Loss: 0.6929
+[2024-06-09 02:41:46,918 INFO] Epoch:17, Snapshot: 30; Loss: 0.6936
+[2024-06-09 02:41:48,604 INFO] Epoch:17, Snapshot: 31; Loss: 0.6929
+[2024-06-09 02:41:50,307 INFO] Epoch:17, Snapshot: 32; Loss: 0.6934
+[2024-06-09 02:41:52,042 INFO] Epoch:17, Snapshot: 33; Loss: 0.6934
+[2024-06-09 02:41:53,761 INFO] Epoch:17, Snapshot: 34; Loss: 0.6930
+[2024-06-09 02:41:55,371 INFO] Epoch:17, Snapshot: 35; Loss: 0.6933
+[2024-06-09 02:41:57,183 INFO] Epoch:17, Snapshot: 36; Loss: 0.6932
+[2024-06-09 02:41:58,943 INFO] Epoch:17, Snapshot: 37; Loss: 0.6932
+[2024-06-09 02:42:00,570 INFO] Epoch:17, Snapshot: 38; Loss: 0.6932
+[2024-06-09 02:42:02,181 INFO] Epoch:17, Snapshot: 39; Loss: 0.6928
+[2024-06-09 02:42:03,855 INFO] Epoch:17, Snapshot: 40; Loss: 0.6931
+[2024-06-09 02:42:05,511 INFO] Epoch:17, Snapshot: 41; Loss: 0.6935
+[2024-06-09 02:43:15,026 INFO] ==========================================================================================
+[2024-06-09 02:43:15,026 INFO] Epoch:17, Loss: 0.6936, Time: 140.858, GPU: 409.3MiB
+[2024-06-09 02:43:15,026 INFO] Epoch:17, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:43:16,730 INFO] Epoch:18, Snapshot: 0; Loss: 0.7089
+[2024-06-09 02:43:18,576 INFO] Epoch:18, Snapshot: 1; Loss: 0.6937
+[2024-06-09 02:43:20,390 INFO] Epoch:18, Snapshot: 2; Loss: 0.6934
+[2024-06-09 02:43:22,187 INFO] Epoch:18, Snapshot: 3; Loss: 0.6927
+[2024-06-09 02:43:23,798 INFO] Epoch:18, Snapshot: 4; Loss: 0.6935
+[2024-06-09 02:43:25,501 INFO] Epoch:18, Snapshot: 5; Loss: 0.6933
+[2024-06-09 02:43:27,393 INFO] Epoch:18, Snapshot: 6; Loss: 0.6933
+[2024-06-09 02:43:28,956 INFO] Epoch:18, Snapshot: 7; Loss: 0.6931
+[2024-06-09 02:43:30,676 INFO] Epoch:18, Snapshot: 8; Loss: 0.6932
+[2024-06-09 02:43:32,631 INFO] Epoch:18, Snapshot: 9; Loss: 0.6932
+[2024-06-09 02:43:34,305 INFO] Epoch:18, Snapshot: 10; Loss: 0.6932
+[2024-06-09 02:43:35,913 INFO] Epoch:18, Snapshot: 11; Loss: 0.6929
+[2024-06-09 02:43:37,685 INFO] Epoch:18, Snapshot: 12; Loss: 0.6929
+[2024-06-09 02:43:39,355 INFO] Epoch:18, Snapshot: 13; Loss: 0.6929
+[2024-06-09 02:43:40,950 INFO] Epoch:18, Snapshot: 14; Loss: 0.6926
+[2024-06-09 02:43:42,686 INFO] Epoch:18, Snapshot: 15; Loss: 0.6930
+[2024-06-09 02:43:44,299 INFO] Epoch:18, Snapshot: 16; Loss: 0.6942
+[2024-06-09 02:43:46,001 INFO] Epoch:18, Snapshot: 17; Loss: 0.6933
+[2024-06-09 02:43:47,705 INFO] Epoch:18, Snapshot: 18; Loss: 0.6934
+[2024-06-09 02:43:49,426 INFO] Epoch:18, Snapshot: 19; Loss: 0.6934
+[2024-06-09 02:43:51,083 INFO] Epoch:18, Snapshot: 20; Loss: 0.6927
+[2024-06-09 02:43:52,834 INFO] Epoch:18, Snapshot: 21; Loss: 0.6935
+[2024-06-09 02:43:54,587 INFO] Epoch:18, Snapshot: 22; Loss: 0.6933
+[2024-06-09 02:43:56,181 INFO] Epoch:18, Snapshot: 23; Loss: 0.6923
+[2024-06-09 02:43:57,839 INFO] Epoch:18, Snapshot: 24; Loss: 0.6931
+[2024-06-09 02:43:59,512 INFO] Epoch:18, Snapshot: 25; Loss: 0.6933
+[2024-06-09 02:44:01,198 INFO] Epoch:18, Snapshot: 26; Loss: 0.6930
+[2024-06-09 02:44:02,825 INFO] Epoch:18, Snapshot: 27; Loss: 0.6925
+[2024-06-09 02:44:04,405 INFO] Epoch:18, Snapshot: 28; Loss: 0.6934
+[2024-06-09 02:44:05,969 INFO] Epoch:18, Snapshot: 29; Loss: 0.6929
+[2024-06-09 02:44:07,673 INFO] Epoch:18, Snapshot: 30; Loss: 0.6936
+[2024-06-09 02:44:09,362 INFO] Epoch:18, Snapshot: 31; Loss: 0.6929
+[2024-06-09 02:44:11,082 INFO] Epoch:18, Snapshot: 32; Loss: 0.6934
+[2024-06-09 02:44:12,864 INFO] Epoch:18, Snapshot: 33; Loss: 0.6934
+[2024-06-09 02:44:14,536 INFO] Epoch:18, Snapshot: 34; Loss: 0.6930
+[2024-06-09 02:44:16,132 INFO] Epoch:18, Snapshot: 35; Loss: 0.6933
+[2024-06-09 02:44:17,960 INFO] Epoch:18, Snapshot: 36; Loss: 0.6931
+[2024-06-09 02:44:19,727 INFO] Epoch:18, Snapshot: 37; Loss: 0.6932
+[2024-06-09 02:44:21,353 INFO] Epoch:18, Snapshot: 38; Loss: 0.6932
+[2024-06-09 02:44:22,996 INFO] Epoch:18, Snapshot: 39; Loss: 0.6928
+[2024-06-09 02:44:24,731 INFO] Epoch:18, Snapshot: 40; Loss: 0.6931
+[2024-06-09 02:44:26,418 INFO] Epoch:18, Snapshot: 41; Loss: 0.6934
+[2024-06-09 02:45:35,635 INFO] ==========================================================================================
+[2024-06-09 02:45:35,635 INFO] Epoch:18, Loss: 0.6935, Time: 140.609, GPU: 409.3MiB
+[2024-06-09 02:45:35,635 INFO] Epoch:18, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:45:37,355 INFO] Epoch:19, Snapshot: 0; Loss: 0.7090
+[2024-06-09 02:45:39,262 INFO] Epoch:19, Snapshot: 1; Loss: 0.6938
+[2024-06-09 02:45:40,950 INFO] Epoch:19, Snapshot: 2; Loss: 0.6934
+[2024-06-09 02:45:42,812 INFO] Epoch:19, Snapshot: 3; Loss: 0.6927
+[2024-06-09 02:45:44,546 INFO] Epoch:19, Snapshot: 4; Loss: 0.6935
+[2024-06-09 02:45:46,204 INFO] Epoch:19, Snapshot: 5; Loss: 0.6933
+[2024-06-09 02:45:48,050 INFO] Epoch:19, Snapshot: 6; Loss: 0.6933
+[2024-06-09 02:45:49,738 INFO] Epoch:19, Snapshot: 7; Loss: 0.6931
+[2024-06-09 02:45:51,441 INFO] Epoch:19, Snapshot: 8; Loss: 0.6932
+[2024-06-09 02:45:53,287 INFO] Epoch:19, Snapshot: 9; Loss: 0.6931
+[2024-06-09 02:45:54,962 INFO] Epoch:19, Snapshot: 10; Loss: 0.6932
+[2024-06-09 02:45:56,664 INFO] Epoch:19, Snapshot: 11; Loss: 0.6929
+[2024-06-09 02:45:58,402 INFO] Epoch:19, Snapshot: 12; Loss: 0.6929
+[2024-06-09 02:46:00,027 INFO] Epoch:19, Snapshot: 13; Loss: 0.6928
+[2024-06-09 02:46:01,698 INFO] Epoch:19, Snapshot: 14; Loss: 0.6925
+[2024-06-09 02:46:03,404 INFO] Epoch:19, Snapshot: 15; Loss: 0.6930
+[2024-06-09 02:46:04,984 INFO] Epoch:19, Snapshot: 16; Loss: 0.6943
+[2024-06-09 02:46:06,797 INFO] Epoch:19, Snapshot: 17; Loss: 0.6934
+[2024-06-09 02:46:08,472 INFO] Epoch:19, Snapshot: 18; Loss: 0.6934
+[2024-06-09 02:46:10,112 INFO] Epoch:19, Snapshot: 19; Loss: 0.6935
+[2024-06-09 02:46:11,801 INFO] Epoch:19, Snapshot: 20; Loss: 0.6927
+[2024-06-09 02:46:13,506 INFO] Epoch:19, Snapshot: 21; Loss: 0.6935
+[2024-06-09 02:46:15,163 INFO] Epoch:19, Snapshot: 22; Loss: 0.6933
+[2024-06-09 02:46:16,806 INFO] Epoch:19, Snapshot: 23; Loss: 0.6922
+[2024-06-09 02:46:18,496 INFO] Epoch:19, Snapshot: 24; Loss: 0.6931
+[2024-06-09 02:46:20,106 INFO] Epoch:19, Snapshot: 25; Loss: 0.6933
+[2024-06-09 02:46:21,871 INFO] Epoch:19, Snapshot: 26; Loss: 0.6930
+[2024-06-09 02:46:23,575 INFO] Epoch:19, Snapshot: 27; Loss: 0.6925
+[2024-06-09 02:46:25,170 INFO] Epoch:19, Snapshot: 28; Loss: 0.6934
+[2024-06-09 02:46:26,779 INFO] Epoch:19, Snapshot: 29; Loss: 0.6929
+[2024-06-09 02:46:28,390 INFO] Epoch:19, Snapshot: 30; Loss: 0.6935
+[2024-06-09 02:46:30,094 INFO] Epoch:19, Snapshot: 31; Loss: 0.6929
+[2024-06-09 02:46:31,906 INFO] Epoch:19, Snapshot: 32; Loss: 0.6934
+[2024-06-09 02:46:33,565 INFO] Epoch:19, Snapshot: 33; Loss: 0.6934
+[2024-06-09 02:46:35,175 INFO] Epoch:19, Snapshot: 34; Loss: 0.6931
+[2024-06-09 02:46:36,911 INFO] Epoch:19, Snapshot: 35; Loss: 0.6933
+[2024-06-09 02:46:38,726 INFO] Epoch:19, Snapshot: 36; Loss: 0.6931
+[2024-06-09 02:46:40,368 INFO] Epoch:19, Snapshot: 37; Loss: 0.6932
+[2024-06-09 02:46:42,056 INFO] Epoch:19, Snapshot: 38; Loss: 0.6932
+[2024-06-09 02:46:43,808 INFO] Epoch:19, Snapshot: 39; Loss: 0.6929
+[2024-06-09 02:46:45,419 INFO] Epoch:19, Snapshot: 40; Loss: 0.6931
+[2024-06-09 02:46:46,982 INFO] Epoch:19, Snapshot: 41; Loss: 0.6935
+[2024-06-09 02:47:55,709 INFO] ==========================================================================================
+[2024-06-09 02:47:55,709 INFO] Epoch:19, Loss: 0.6935, Time: 140.074, GPU: 409.3MiB
+[2024-06-09 02:47:55,709 INFO] Epoch:19, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:47:57,415 INFO] Epoch:20, Snapshot: 0; Loss: 0.7089
+[2024-06-09 02:47:59,276 INFO] Epoch:20, Snapshot: 1; Loss: 0.6938
+[2024-06-09 02:48:01,075 INFO] Epoch:20, Snapshot: 2; Loss: 0.6934
+[2024-06-09 02:48:02,902 INFO] Epoch:20, Snapshot: 3; Loss: 0.6928
+[2024-06-09 02:48:04,543 INFO] Epoch:20, Snapshot: 4; Loss: 0.6935
+[2024-06-09 02:48:06,280 INFO] Epoch:20, Snapshot: 5; Loss: 0.6933
+[2024-06-09 02:48:08,235 INFO] Epoch:20, Snapshot: 6; Loss: 0.6934
+[2024-06-09 02:48:09,903 INFO] Epoch:20, Snapshot: 7; Loss: 0.6932
+[2024-06-09 02:48:11,502 INFO] Epoch:20, Snapshot: 8; Loss: 0.6932
+[2024-06-09 02:48:13,457 INFO] Epoch:20, Snapshot: 9; Loss: 0.6931
+[2024-06-09 02:48:15,286 INFO] Epoch:20, Snapshot: 10; Loss: 0.6932
+[2024-06-09 02:48:16,894 INFO] Epoch:20, Snapshot: 11; Loss: 0.6929
+[2024-06-09 02:48:18,624 INFO] Epoch:20, Snapshot: 12; Loss: 0.6929
+[2024-06-09 02:48:20,328 INFO] Epoch:20, Snapshot: 13; Loss: 0.6928
+[2024-06-09 02:48:21,997 INFO] Epoch:20, Snapshot: 14; Loss: 0.6925
+[2024-06-09 02:48:23,677 INFO] Epoch:20, Snapshot: 15; Loss: 0.6931
+[2024-06-09 02:48:25,256 INFO] Epoch:20, Snapshot: 16; Loss: 0.6943
+[2024-06-09 02:48:27,123 INFO] Epoch:20, Snapshot: 17; Loss: 0.6934
+[2024-06-09 02:48:28,808 INFO] Epoch:20, Snapshot: 18; Loss: 0.6934
+[2024-06-09 02:48:30,467 INFO] Epoch:20, Snapshot: 19; Loss: 0.6935
+[2024-06-09 02:48:32,186 INFO] Epoch:20, Snapshot: 20; Loss: 0.6927
+[2024-06-09 02:48:33,937 INFO] Epoch:20, Snapshot: 21; Loss: 0.6935
+[2024-06-09 02:48:35,626 INFO] Epoch:20, Snapshot: 22; Loss: 0.6933
+[2024-06-09 02:48:37,204 INFO] Epoch:20, Snapshot: 23; Loss: 0.6922
+[2024-06-09 02:48:38,925 INFO] Epoch:20, Snapshot: 24; Loss: 0.6931
+[2024-06-09 02:48:40,644 INFO] Epoch:20, Snapshot: 25; Loss: 0.6933
+[2024-06-09 02:48:42,319 INFO] Epoch:20, Snapshot: 26; Loss: 0.6930
+[2024-06-09 02:48:44,007 INFO] Epoch:20, Snapshot: 27; Loss: 0.6925
+[2024-06-09 02:48:45,679 INFO] Epoch:20, Snapshot: 28; Loss: 0.6934
+[2024-06-09 02:48:47,227 INFO] Epoch:20, Snapshot: 29; Loss: 0.6929
+[2024-06-09 02:48:48,947 INFO] Epoch:20, Snapshot: 30; Loss: 0.6935
+[2024-06-09 02:48:50,620 INFO] Epoch:20, Snapshot: 31; Loss: 0.6929
+[2024-06-09 02:48:52,310 INFO] Epoch:20, Snapshot: 32; Loss: 0.6934
+[2024-06-09 02:48:54,030 INFO] Epoch:20, Snapshot: 33; Loss: 0.6934
+[2024-06-09 02:48:55,717 INFO] Epoch:20, Snapshot: 34; Loss: 0.6931
+[2024-06-09 02:48:57,361 INFO] Epoch:20, Snapshot: 35; Loss: 0.6933
+[2024-06-09 02:48:59,158 INFO] Epoch:20, Snapshot: 36; Loss: 0.6931
+[2024-06-09 02:49:00,922 INFO] Epoch:20, Snapshot: 37; Loss: 0.6932
+[2024-06-09 02:49:02,550 INFO] Epoch:20, Snapshot: 38; Loss: 0.6932
+[2024-06-09 02:49:04,301 INFO] Epoch:20, Snapshot: 39; Loss: 0.6929
+[2024-06-09 02:49:05,987 INFO] Epoch:20, Snapshot: 40; Loss: 0.6931
+[2024-06-09 02:49:07,583 INFO] Epoch:20, Snapshot: 41; Loss: 0.6934
+[2024-06-09 02:50:15,990 INFO] ==========================================================================================
+[2024-06-09 02:50:15,990 INFO] Epoch:20, Loss: 0.6935, Time: 140.282, GPU: 409.3MiB
+[2024-06-09 02:50:15,990 INFO] Epoch:20, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 02:50:15,990 INFO] ==========================================================================================
+[2024-06-09 02:50:15,990 INFO] Total time: 2814.566
+[2024-06-09 03:35:19,075 INFO] fixed random seed
+[2024-06-09 03:35:20,601 INFO] Epoch:1, Snapshot: 0; Loss: 2.5643
+[2024-06-09 03:35:22,708 INFO] Epoch:1, Snapshot: 1; Loss: 2.1169
+[2024-06-09 03:35:25,000 INFO] Epoch:1, Snapshot: 2; Loss: 0.7041
+[2024-06-09 03:35:27,402 INFO] Epoch:1, Snapshot: 3; Loss: 1.0127
+[2024-06-09 03:35:29,566 INFO] Epoch:1, Snapshot: 4; Loss: 0.8888
+[2024-06-09 03:35:31,766 INFO] Epoch:1, Snapshot: 5; Loss: 0.6977
+[2024-06-09 03:35:34,117 INFO] Epoch:1, Snapshot: 6; Loss: 0.9243
+[2024-06-09 03:35:36,667 INFO] Epoch:1, Snapshot: 7; Loss: 1.2922
+[2024-06-09 03:35:39,080 INFO] Epoch:1, Snapshot: 8; Loss: 0.8783
+[2024-06-09 03:35:41,810 INFO] Epoch:1, Snapshot: 9; Loss: 0.7133
+[2024-06-09 03:35:44,437 INFO] Epoch:1, Snapshot: 10; Loss: 1.2957
+[2024-06-09 03:35:46,312 INFO] Epoch:1, Snapshot: 11; Loss: 1.6806
+[2024-06-09 03:35:48,283 INFO] Epoch:1, Snapshot: 12; Loss: 0.7475
+[2024-06-09 03:35:49,924 INFO] Epoch:1, Snapshot: 13; Loss: 0.7048
+[2024-06-09 03:35:51,582 INFO] Epoch:1, Snapshot: 14; Loss: 0.7056
+[2024-06-09 03:35:53,240 INFO] Epoch:1, Snapshot: 15; Loss: 0.7547
+[2024-06-09 03:35:54,834 INFO] Epoch:1, Snapshot: 16; Loss: 1.5463
+[2024-06-09 03:35:56,506 INFO] Epoch:1, Snapshot: 17; Loss: 1.0713
+[2024-06-09 03:35:58,253 INFO] Epoch:1, Snapshot: 18; Loss: 0.6934
+[2024-06-09 03:35:59,962 INFO] Epoch:1, Snapshot: 19; Loss: 0.7036
+[2024-06-09 03:36:01,620 INFO] Epoch:1, Snapshot: 20; Loss: 0.6935
+[2024-06-09 03:36:03,325 INFO] Epoch:1, Snapshot: 21; Loss: 0.6935
+[2024-06-09 03:36:05,043 INFO] Epoch:1, Snapshot: 22; Loss: 0.6934
+[2024-06-09 03:36:06,732 INFO] Epoch:1, Snapshot: 23; Loss: 0.6961
+[2024-06-09 03:36:08,389 INFO] Epoch:1, Snapshot: 24; Loss: 0.7590
+[2024-06-09 03:36:10,015 INFO] Epoch:1, Snapshot: 25; Loss: 0.7826
+[2024-06-09 03:36:11,812 INFO] Epoch:1, Snapshot: 26; Loss: 0.7064
+[2024-06-09 03:36:13,423 INFO] Epoch:1, Snapshot: 27; Loss: 0.6923
+[2024-06-09 03:36:15,003 INFO] Epoch:1, Snapshot: 28; Loss: 0.6945
+[2024-06-09 03:36:16,629 INFO] Epoch:1, Snapshot: 29; Loss: 0.6929
+[2024-06-09 03:36:18,302 INFO] Epoch:1, Snapshot: 30; Loss: 0.7616
+[2024-06-09 03:36:19,929 INFO] Epoch:1, Snapshot: 31; Loss: 0.7543
+[2024-06-09 03:36:21,728 INFO] Epoch:1, Snapshot: 32; Loss: 0.6943
+[2024-06-09 03:36:23,448 INFO] Epoch:1, Snapshot: 33; Loss: 0.6943
+[2024-06-09 03:36:25,089 INFO] Epoch:1, Snapshot: 34; Loss: 0.6931
+[2024-06-09 03:36:26,825 INFO] Epoch:1, Snapshot: 35; Loss: 0.6942
+[2024-06-09 03:36:28,595 INFO] Epoch:1, Snapshot: 36; Loss: 0.6938
+[2024-06-09 03:36:30,234 INFO] Epoch:1, Snapshot: 37; Loss: 0.6943
+[2024-06-09 03:36:31,938 INFO] Epoch:1, Snapshot: 38; Loss: 0.7008
+[2024-06-09 03:36:33,655 INFO] Epoch:1, Snapshot: 39; Loss: 0.7001
+[2024-06-09 03:36:35,348 INFO] Epoch:1, Snapshot: 40; Loss: 0.6936
+[2024-06-09 03:36:37,004 INFO] Epoch:1, Snapshot: 41; Loss: 0.6958
+[2024-06-09 03:37:38,778 INFO] ==========================================================================================
+[2024-06-09 03:37:38,778 INFO] Epoch:1, Loss: 0.8874, Time: 139.702, GPU: 639.1MiB
+[2024-06-09 03:37:38,778 INFO] Epoch:1, Accuracy: 0.5025; F1: 0.0000; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000
+[2024-06-09 03:37:40,060 INFO] Epoch:2, Snapshot: 0; Loss: 0.7065
+[2024-06-09 03:37:41,913 INFO] Epoch:2, Snapshot: 1; Loss: 0.6932
+[2024-06-09 03:37:43,611 INFO] Epoch:2, Snapshot: 2; Loss: 0.6938
+[2024-06-09 03:37:45,425 INFO] Epoch:2, Snapshot: 3; Loss: 0.6943
+[2024-06-09 03:37:47,114 INFO] Epoch:2, Snapshot: 4; Loss: 0.6942
+[2024-06-09 03:37:48,772 INFO] Epoch:2, Snapshot: 5; Loss: 0.6933
+[2024-06-09 03:37:50,585 INFO] Epoch:2, Snapshot: 6; Loss: 0.6934
+[2024-06-09 03:37:52,227 INFO] Epoch:2, Snapshot: 7; Loss: 0.6941
+[2024-06-09 03:37:53,916 INFO] Epoch:2, Snapshot: 8; Loss: 0.6936
+[2024-06-09 03:37:55,790 INFO] Epoch:2, Snapshot: 9; Loss: 0.6935
+[2024-06-09 03:37:57,505 INFO] Epoch:2, Snapshot: 10; Loss: 0.6933
+[2024-06-09 03:37:59,106 INFO] Epoch:2, Snapshot: 11; Loss: 0.6934
+[2024-06-09 03:38:00,794 INFO] Epoch:2, Snapshot: 12; Loss: 0.6934
+[2024-06-09 03:38:02,419 INFO] Epoch:2, Snapshot: 13; Loss: 0.6935
+[2024-06-09 03:38:04,061 INFO] Epoch:2, Snapshot: 14; Loss: 0.6937
+[2024-06-09 03:38:05,765 INFO] Epoch:2, Snapshot: 15; Loss: 0.6931
+[2024-06-09 03:38:07,329 INFO] Epoch:2, Snapshot: 16; Loss: 0.6939
+[2024-06-09 03:38:09,047 INFO] Epoch:2, Snapshot: 17; Loss: 0.6932
+[2024-06-09 03:38:10,737 INFO] Epoch:2, Snapshot: 18; Loss: 0.6929
+[2024-06-09 03:38:12,411 INFO] Epoch:2, Snapshot: 19; Loss: 0.6940
+[2024-06-09 03:38:14,037 INFO] Epoch:2, Snapshot: 20; Loss: 0.6928
+[2024-06-09 03:38:15,726 INFO] Epoch:2, Snapshot: 21; Loss: 0.7059
+[2024-06-09 03:38:17,368 INFO] Epoch:2, Snapshot: 22; Loss: 0.7056
+[2024-06-09 03:38:18,886 INFO] Epoch:2, Snapshot: 23; Loss: 0.7018
+[2024-06-09 03:38:20,590 INFO] Epoch:2, Snapshot: 24; Loss: 0.7023
+[2024-06-09 03:38:22,247 INFO] Epoch:2, Snapshot: 25; Loss: 0.6940
+[2024-06-09 03:38:23,921 INFO] Epoch:2, Snapshot: 26; Loss: 0.6954
+[2024-06-09 03:38:25,580 INFO] Epoch:2, Snapshot: 27; Loss: 0.6924
+[2024-06-09 03:38:27,160 INFO] Epoch:2, Snapshot: 28; Loss: 0.6982
+[2024-06-09 03:38:28,735 INFO] Epoch:2, Snapshot: 29; Loss: 0.6974
+[2024-06-09 03:38:30,410 INFO] Epoch:2, Snapshot: 30; Loss: 0.6939
+[2024-06-09 03:38:32,004 INFO] Epoch:2, Snapshot: 31; Loss: 0.6934
+[2024-06-09 03:38:33,801 INFO] Epoch:2, Snapshot: 32; Loss: 0.6966
+[2024-06-09 03:38:35,507 INFO] Epoch:2, Snapshot: 33; Loss: 0.7066
+[2024-06-09 03:38:37,134 INFO] Epoch:2, Snapshot: 34; Loss: 0.7211
+[2024-06-09 03:38:38,745 INFO] Epoch:2, Snapshot: 35; Loss: 0.6939
+[2024-06-09 03:38:40,434 INFO] Epoch:2, Snapshot: 36; Loss: 0.6959
+[2024-06-09 03:38:42,168 INFO] Epoch:2, Snapshot: 37; Loss: 0.6980
+[2024-06-09 03:38:43,779 INFO] Epoch:2, Snapshot: 38; Loss: 0.6936
+[2024-06-09 03:38:45,437 INFO] Epoch:2, Snapshot: 39; Loss: 0.6939
+[2024-06-09 03:38:47,126 INFO] Epoch:2, Snapshot: 40; Loss: 0.6932
+[2024-06-09 03:38:48,768 INFO] Epoch:2, Snapshot: 41; Loss: 0.6947
+[2024-06-09 03:39:49,246 INFO] ==========================================================================================
+[2024-06-09 03:39:49,246 INFO] Epoch:2, Loss: 0.6963, Time: 130.469, GPU: 949.4MiB
+[2024-06-09 03:39:49,246 INFO] Epoch:2, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 03:39:50,730 INFO] Epoch:3, Snapshot: 0; Loss: 0.7074
+[2024-06-09 03:39:52,560 INFO] Epoch:3, Snapshot: 1; Loss: 0.6934
+[2024-06-09 03:39:54,215 INFO] Epoch:3, Snapshot: 2; Loss: 0.6933
+[2024-06-09 03:39:55,969 INFO] Epoch:3, Snapshot: 3; Loss: 0.6930
+[2024-06-09 03:39:57,658 INFO] Epoch:3, Snapshot: 4; Loss: 0.6934
+[2024-06-09 03:39:59,315 INFO] Epoch:3, Snapshot: 5; Loss: 0.6932
+[2024-06-09 03:40:01,177 INFO] Epoch:3, Snapshot: 6; Loss: 0.6935
+[2024-06-09 03:40:02,802 INFO] Epoch:3, Snapshot: 7; Loss: 0.6931
+[2024-06-09 03:40:04,425 INFO] Epoch:3, Snapshot: 8; Loss: 0.6936
+[2024-06-09 03:40:06,225 INFO] Epoch:3, Snapshot: 9; Loss: 0.6935
+[2024-06-09 03:40:07,998 INFO] Epoch:3, Snapshot: 10; Loss: 0.6933
+[2024-06-09 03:40:09,617 INFO] Epoch:3, Snapshot: 11; Loss: 0.6936
+[2024-06-09 03:40:11,275 INFO] Epoch:3, Snapshot: 12; Loss: 0.6934
+[2024-06-09 03:40:12,892 INFO] Epoch:3, Snapshot: 13; Loss: 0.6931
+[2024-06-09 03:40:14,483 INFO] Epoch:3, Snapshot: 14; Loss: 0.6930
+[2024-06-09 03:40:16,140 INFO] Epoch:3, Snapshot: 15; Loss: 0.6933
+[2024-06-09 03:40:17,767 INFO] Epoch:3, Snapshot: 16; Loss: 0.6936
+[2024-06-09 03:40:19,580 INFO] Epoch:3, Snapshot: 17; Loss: 0.6942
+[2024-06-09 03:40:21,222 INFO] Epoch:3, Snapshot: 18; Loss: 0.7062
+[2024-06-09 03:40:22,848 INFO] Epoch:3, Snapshot: 19; Loss: 0.7093
+[2024-06-09 03:40:24,599 INFO] Epoch:3, Snapshot: 20; Loss: 0.6930
+[2024-06-09 03:40:26,303 INFO] Epoch:3, Snapshot: 21; Loss: 0.6937
+[2024-06-09 03:40:27,961 INFO] Epoch:3, Snapshot: 22; Loss: 0.6933
+[2024-06-09 03:40:29,509 INFO] Epoch:3, Snapshot: 23; Loss: 0.6923
+[2024-06-09 03:40:31,135 INFO] Epoch:3, Snapshot: 24; Loss: 0.6932
+[2024-06-09 03:40:32,746 INFO] Epoch:3, Snapshot: 25; Loss: 0.6934
+[2024-06-09 03:40:34,386 INFO] Epoch:3, Snapshot: 26; Loss: 0.6930
+[2024-06-09 03:40:36,044 INFO] Epoch:3, Snapshot: 27; Loss: 0.6923
+[2024-06-09 03:40:37,686 INFO] Epoch:3, Snapshot: 28; Loss: 0.6954
+[2024-06-09 03:40:39,296 INFO] Epoch:3, Snapshot: 29; Loss: 0.6941
+[2024-06-09 03:40:40,906 INFO] Epoch:3, Snapshot: 30; Loss: 0.6944
+[2024-06-09 03:40:42,532 INFO] Epoch:3, Snapshot: 31; Loss: 0.6930
+[2024-06-09 03:40:44,251 INFO] Epoch:3, Snapshot: 32; Loss: 0.6937
+[2024-06-09 03:40:45,893 INFO] Epoch:3, Snapshot: 33; Loss: 0.6937
+[2024-06-09 03:40:47,489 INFO] Epoch:3, Snapshot: 34; Loss: 0.6940
+[2024-06-09 03:40:49,130 INFO] Epoch:3, Snapshot: 35; Loss: 0.6946
+[2024-06-09 03:40:50,818 INFO] Epoch:3, Snapshot: 36; Loss: 0.6934
+[2024-06-09 03:40:52,521 INFO] Epoch:3, Snapshot: 37; Loss: 0.6932
+[2024-06-09 03:40:54,117 INFO] Epoch:3, Snapshot: 38; Loss: 0.6933
+[2024-06-09 03:40:55,852 INFO] Epoch:3, Snapshot: 39; Loss: 0.6933
+[2024-06-09 03:40:57,510 INFO] Epoch:3, Snapshot: 40; Loss: 0.6950
+[2024-06-09 03:40:59,136 INFO] Epoch:3, Snapshot: 41; Loss: 0.6951
+[2024-06-09 03:42:01,081 INFO] ==========================================================================================
+[2024-06-09 03:42:01,081 INFO] Epoch:3, Loss: 0.6945, Time: 131.835, GPU: 954.0MiB
+[2024-06-09 03:42:01,081 INFO] Epoch:3, Accuracy: 0.4975; F1: 0.6643; Recall: 1.0000; Precision: 0.4975; ROC AUC: 0.5000
+[2024-06-09 03:42:02,535 INFO] Epoch:4, Snapshot: 0; Loss: 0.7079
+[2024-06-09 03:42:04,398 INFO] Epoch:4, Snapshot: 1; Loss: 0.6935
+[2024-06-09 03:42:06,101 INFO] Epoch:4, Snapshot: 2; Loss: 0.6933
+[2024-06-09 03:42:07,759 INFO] Epoch:4, Snapshot: 3; Loss: 0.6928
+[2024-06-09 03:42:09,449 INFO] Epoch:4, Snapshot: 4; Loss: 0.6936
+[2024-06-09 03:42:11,184 INFO] Epoch:4, Snapshot: 5; Loss: 0.6940
+[2024-06-09 03:42:13,029 INFO] Epoch:4, Snapshot: 6; Loss: 0.6934
+[2024-06-09 03:42:14,657 INFO] Epoch:4, Snapshot: 7; Loss: 0.6935
+[2024-06-09 03:42:16,236 INFO] Epoch:4, Snapshot: 8; Loss: 0.7149
+[2024-06-09 03:42:18,050 INFO] Epoch:4, Snapshot: 9; Loss: 0.6973
+[2024-06-09 03:42:19,703 INFO] Epoch:4, Snapshot: 10; Loss: 0.6983
+[2024-06-09 03:42:21,286 INFO] Epoch:4, Snapshot: 11; Loss: 0.6933
+[2024-06-09 03:42:22,959 INFO] Epoch:4, Snapshot: 12; Loss: 0.6933
+[2024-06-09 03:42:24,632 INFO] Epoch:4, Snapshot: 13; Loss: 0.6946
+[2024-06-09 03:42:26,211 INFO] Epoch:4, Snapshot: 14; Loss: 0.6937
+[2024-06-09 03:42:27,837 INFO] Epoch:4, Snapshot: 15; Loss: 0.6934
+[2024-06-09 03:42:29,415 INFO] Epoch:4, Snapshot: 16; Loss: 0.6956
+[2024-06-09 03:42:31,119 INFO] Epoch:4, Snapshot: 17; Loss: 0.6933
+[2024-06-09 03:42:32,730 INFO] Epoch:4, Snapshot: 18; Loss: 0.6933
+[2024-06-09 03:42:34,482 INFO] Epoch:4, Snapshot: 19; Loss: 0.6937
+[2024-06-09 03:42:36,075 INFO] Epoch:4, Snapshot: 20; Loss: 0.6929
+[2024-06-09 03:42:37,813 INFO] Epoch:4, Snapshot: 21; Loss: 0.6942
+[2024-06-09 03:42:39,533 INFO] Epoch:4, Snapshot: 22; Loss: 0.6937
+[2024-06-09 03:42:41,127 INFO] Epoch:4, Snapshot: 23; Loss: 0.6923
+[2024-06-09 03:42:42,807 INFO] Epoch:4, Snapshot: 24; Loss: 0.6949
+[2024-06-09 03:42:44,520 INFO] Epoch:4, Snapshot: 25; Loss: 0.6961
+[2024-06-09 03:42:46,255 INFO] Epoch:4, Snapshot: 26; Loss: 0.6930
+[2024-06-09 03:42:47,786 INFO] Epoch:4, Snapshot: 27; Loss: 0.6923
+[2024-06-09 03:42:49,459 INFO] Epoch:4, Snapshot: 28; Loss: 0.6942
+[2024-06-09 03:42:51,023 INFO] Epoch:4, Snapshot: 29; Loss: 0.6928
+[2024-06-09 03:42:52,648 INFO] Epoch:4, Snapshot: 30; Loss: 0.6938
+[2024-06-09 03:42:54,227 INFO] Epoch:4, Snapshot: 31; Loss: 0.6931
+[2024-06-09 03:42:56,011 INFO] Epoch:4, Snapshot: 32; Loss: 0.6941
+[2024-06-09 03:42:57,700 INFO] Epoch:4, Snapshot: 33; Loss: 0.6937
+[2024-06-09 03:42:59,294 INFO] Epoch:4, Snapshot: 34; Loss: 0.6932
+[2024-06-09 03:43:00,905 INFO] Epoch:4, Snapshot: 35; Loss: 0.6936
+[2024-06-09 03:43:02,577 INFO] Epoch:4, Snapshot: 36; Loss: 0.6935
+[2024-06-09 03:43:04,239 INFO] Epoch:4, Snapshot: 37; Loss: 0.6931
+[2024-06-09 03:43:05,923 INFO] Epoch:4, Snapshot: 38; Loss: 0.6933
+[2024-06-09 03:43:07,565 INFO] Epoch:4, Snapshot: 39; Loss: 0.6975
+[2024-06-09 03:43:09,222 INFO] Epoch:4, Snapshot: 40; Loss: 0.6953
+[2024-06-09 03:43:10,785 INFO] Epoch:4, Snapshot: 41; Loss: 0.7032
+[2024-06-09 03:43:32,863 INFO] fixed random seed
+[2024-06-09 03:43:34,426 INFO] Epoch:1, Snapshot: 0; Loss: 0.9519
+[2024-06-09 03:43:36,303 INFO] Epoch:1, Snapshot: 1; Loss: 1.0749
+[2024-06-09 03:43:37,972 INFO] Epoch:1, Snapshot: 2; Loss: 0.7246
+[2024-06-09 03:43:39,756 INFO] Epoch:1, Snapshot: 3; Loss: 0.7166
+[2024-06-09 03:43:41,430 INFO] Epoch:1, Snapshot: 4; Loss: 0.7119
+[2024-06-09 03:43:43,070 INFO] Epoch:1, Snapshot: 5; Loss: 0.6964
+[2024-06-09 03:43:44,869 INFO] Epoch:1, Snapshot: 6; Loss: 1.1014
+[2024-06-09 03:43:46,386 INFO] Epoch:1, Snapshot: 7; Loss: 0.9566
+[2024-06-09 03:43:48,011 INFO] Epoch:1, Snapshot: 8; Loss: 0.8168
+[2024-06-09 03:43:49,892 INFO] Epoch:1, Snapshot: 9; Loss: 0.6940
+[2024-06-09 03:43:51,547 INFO] Epoch:1, Snapshot: 10; Loss: 0.8126
+[2024-06-09 03:43:53,171 INFO] Epoch:1, Snapshot: 11; Loss: 0.7287
+[2024-06-09 03:43:54,892 INFO] Epoch:1, Snapshot: 12; Loss: 0.6959
+[2024-06-09 03:43:56,519 INFO] Epoch:1, Snapshot: 13; Loss: 0.7096
+[2024-06-09 03:43:58,191 INFO] Epoch:1, Snapshot: 14; Loss: 0.6916
+[2024-06-09 03:43:59,896 INFO] Epoch:1, Snapshot: 15; Loss: 0.6970
+[2024-06-09 03:44:01,474 INFO] Epoch:1, Snapshot: 16; Loss: 0.7267
+[2024-06-09 03:44:03,162 INFO] Epoch:1, Snapshot: 17; Loss: 0.7052
+[2024-06-09 03:44:04,818 INFO] Epoch:1, Snapshot: 18; Loss: 0.6936
+[2024-06-09 03:44:06,478 INFO] Epoch:1, Snapshot: 19; Loss: 0.6943
+[2024-06-09 03:44:08,104 INFO] Epoch:1, Snapshot: 20; Loss: 0.6902
+[2024-06-09 03:44:09,838 INFO] Epoch:1, Snapshot: 21; Loss: 0.6976
+[2024-06-09 03:44:11,496 INFO] Epoch:1, Snapshot: 22; Loss: 0.6944
+[2024-06-09 03:44:13,107 INFO] Epoch:1, Snapshot: 23; Loss: 0.6900
+[2024-06-09 03:44:14,780 INFO] Epoch:1, Snapshot: 24; Loss: 0.7013
+[2024-06-09 03:44:16,421 INFO] Epoch:1, Snapshot: 25; Loss: 0.7033
+[2024-06-09 03:44:18,063 INFO] Epoch:1, Snapshot: 26; Loss: 0.6904
+[2024-06-09 03:44:19,628 INFO] Epoch:1, Snapshot: 27; Loss: 0.6959
+[2024-06-09 03:44:21,190 INFO] Epoch:1, Snapshot: 28; Loss: 0.6961
+[2024-06-09 03:44:22,802 INFO] Epoch:1, Snapshot: 29; Loss: 0.6906
+[2024-06-09 03:44:24,380 INFO] Epoch:1, Snapshot: 30; Loss: 0.7030
+[2024-06-09 03:44:25,975 INFO] Epoch:1, Snapshot: 31; Loss: 0.7116
+[2024-06-09 03:44:27,695 INFO] Epoch:1, Snapshot: 32; Loss: 0.6904
+[2024-06-09 03:44:29,399 INFO] Epoch:1, Snapshot: 33; Loss: 0.6914
+[2024-06-09 03:44:30,994 INFO] Epoch:1, Snapshot: 34; Loss: 0.6908
+[2024-06-09 03:44:32,682 INFO] Epoch:1, Snapshot: 35; Loss: 0.6901
+[2024-06-09 03:44:34,481 INFO] Epoch:1, Snapshot: 36; Loss: 0.6920
+[2024-06-09 03:44:36,137 INFO] Epoch:1, Snapshot: 37; Loss: 0.6907
+[2024-06-09 03:44:37,763 INFO] Epoch:1, Snapshot: 38; Loss: 0.6927
+[2024-06-09 03:44:39,450 INFO] Epoch:1, Snapshot: 39; Loss: 0.6901
+[2024-06-09 03:44:41,108 INFO] Epoch:1, Snapshot: 40; Loss: 0.6905
+[2024-06-09 03:44:42,812 INFO] Epoch:1, Snapshot: 41; Loss: 0.7003
+[2024-06-09 03:45:39,804 INFO] ==========================================================================================
+[2024-06-09 03:45:39,804 INFO] Epoch:1, Loss: 0.7353, Time: 126.941, GPU: 1383.8MiB
+[2024-06-09 03:45:39,804 INFO] Epoch:1, Accuracy: 0.5078; F1: 0.6707; Recall: 1.0000; Precision: 0.5064; ROC AUC: 0.5103
+[2024-06-09 03:45:41,180 INFO] Epoch:2, Snapshot: 0; Loss: 0.7099
+[2024-06-09 03:45:43,135 INFO] Epoch:2, Snapshot: 1; Loss: 0.6943
+[2024-06-09 03:45:44,964 INFO] Epoch:2, Snapshot: 2; Loss: 0.6915
+[2024-06-09 03:45:46,666 INFO] Epoch:2, Snapshot: 3; Loss: 0.7002
+[2024-06-09 03:45:48,371 INFO] Epoch:2, Snapshot: 4; Loss: 0.6952
+[2024-06-09 03:45:50,059 INFO] Epoch:2, Snapshot: 5; Loss: 0.6893
+[2024-06-09 03:45:51,904 INFO] Epoch:2, Snapshot: 6; Loss: 0.6926
+[2024-06-09 03:45:53,530 INFO] Epoch:2, Snapshot: 7; Loss: 0.6860
+[2024-06-09 03:45:55,188 INFO] Epoch:2, Snapshot: 8; Loss: 0.6901
+[2024-06-09 03:45:57,003 INFO] Epoch:2, Snapshot: 9; Loss: 0.6915
+[2024-06-09 03:45:58,661 INFO] Epoch:2, Snapshot: 10; Loss: 0.6852
+[2024-06-09 03:46:00,271 INFO] Epoch:2, Snapshot: 11; Loss: 0.6842
+[2024-06-09 03:46:01,945 INFO] Epoch:2, Snapshot: 12; Loss: 0.6917
+[2024-06-09 03:46:03,555 INFO] Epoch:2, Snapshot: 13; Loss: 0.6978
+[2024-06-09 03:46:05,227 INFO] Epoch:2, Snapshot: 14; Loss: 0.6829
+[2024-06-09 03:46:06,947 INFO] Epoch:2, Snapshot: 15; Loss: 0.6856
+[2024-06-09 03:46:08,526 INFO] Epoch:2, Snapshot: 16; Loss: 0.6852
+[2024-06-09 03:46:10,264 INFO] Epoch:2, Snapshot: 17; Loss: 0.6920
+[2024-06-09 03:46:11,889 INFO] Epoch:2, Snapshot: 18; Loss: 0.6859
+[2024-06-09 03:46:13,515 INFO] Epoch:2, Snapshot: 19; Loss: 0.6821
+[2024-06-09 03:46:15,172 INFO] Epoch:2, Snapshot: 20; Loss: 0.6836
+[2024-06-09 03:46:16,894 INFO] Epoch:2, Snapshot: 21; Loss: 0.6928
+[2024-06-09 03:46:18,580 INFO] Epoch:2, Snapshot: 22; Loss: 0.6868
+[2024-06-09 03:46:20,112 INFO] Epoch:2, Snapshot: 23; Loss: 0.6864
+[2024-06-09 03:46:21,848 INFO] Epoch:2, Snapshot: 24; Loss: 0.6851
+[2024-06-09 03:46:23,505 INFO] Epoch:2, Snapshot: 25; Loss: 0.6835
+[2024-06-09 03:46:25,178 INFO] Epoch:2, Snapshot: 26; Loss: 0.6743
+[2024-06-09 03:46:26,822 INFO] Epoch:2, Snapshot: 27; Loss: 0.6859
+[2024-06-09 03:46:28,353 INFO] Epoch:2, Snapshot: 28; Loss: 0.6785
+[2024-06-09 03:46:29,965 INFO] Epoch:2, Snapshot: 29; Loss: 0.6836
+[2024-06-09 03:46:31,626 INFO] Epoch:2, Snapshot: 30; Loss: 0.6821
+[2024-06-09 03:46:33,200 INFO] Epoch:2, Snapshot: 31; Loss: 0.6763
+[2024-06-09 03:46:34,949 INFO] Epoch:2, Snapshot: 32; Loss: 0.6807
+[2024-06-09 03:46:36,636 INFO] Epoch:2, Snapshot: 33; Loss: 0.6818
+[2024-06-09 03:46:38,232 INFO] Epoch:2, Snapshot: 34; Loss: 0.6725
+[2024-06-09 03:46:39,826 INFO] Epoch:2, Snapshot: 35; Loss: 0.6772
+[2024-06-09 03:46:41,485 INFO] Epoch:2, Snapshot: 36; Loss: 0.6986
+[2024-06-09 03:46:43,173 INFO] Epoch:2, Snapshot: 37; Loss: 0.6670
+[2024-06-09 03:46:44,814 INFO] Epoch:2, Snapshot: 38; Loss: 0.6788
+[2024-06-09 03:46:46,439 INFO] Epoch:2, Snapshot: 39; Loss: 0.6669
+[2024-06-09 03:46:48,051 INFO] Epoch:2, Snapshot: 40; Loss: 0.6723
+[2024-06-09 03:46:49,661 INFO] Epoch:2, Snapshot: 41; Loss: 0.6675
+[2024-06-09 03:47:47,337 INFO] ==========================================================================================
+[2024-06-09 03:47:47,337 INFO] Epoch:2, Loss: 0.6851, Time: 127.532, GPU: 1996.0MiB
+[2024-06-09 03:47:47,337 INFO] Epoch:2, Accuracy: 0.9980; F1: 0.9980; Recall: 1.0000; Precision: 0.9961; ROC AUC: 0.9980
+[2024-06-09 03:47:48,667 INFO] Epoch:3, Snapshot: 0; Loss: 0.6884
+[2024-06-09 03:47:50,587 INFO] Epoch:3, Snapshot: 1; Loss: 0.6890
+[2024-06-09 03:47:52,277 INFO] Epoch:3, Snapshot: 2; Loss: 0.6536
+[2024-06-09 03:47:54,060 INFO] Epoch:3, Snapshot: 3; Loss: 0.6751
+[2024-06-09 03:47:55,779 INFO] Epoch:3, Snapshot: 4; Loss: 0.6819
+[2024-06-09 03:47:57,451 INFO] Epoch:3, Snapshot: 5; Loss: 0.6873
+[2024-06-09 03:47:59,359 INFO] Epoch:3, Snapshot: 6; Loss: 0.6728
+[2024-06-09 03:48:00,986 INFO] Epoch:3, Snapshot: 7; Loss: 0.6594
+[2024-06-09 03:48:02,564 INFO] Epoch:3, Snapshot: 8; Loss: 0.6964
+[2024-06-09 03:48:04,456 INFO] Epoch:3, Snapshot: 9; Loss: 0.6912
+[2024-06-09 03:48:06,208 INFO] Epoch:3, Snapshot: 10; Loss: 0.6816
+[2024-06-09 03:48:07,801 INFO] Epoch:3, Snapshot: 11; Loss: 0.6442
+[2024-06-09 03:48:09,411 INFO] Epoch:3, Snapshot: 12; Loss: 0.6732
+[2024-06-09 03:48:11,038 INFO] Epoch:3, Snapshot: 13; Loss: 0.6502
+[2024-06-09 03:48:12,727 INFO] Epoch:3, Snapshot: 14; Loss: 0.6727
+[2024-06-09 03:48:14,368 INFO] Epoch:3, Snapshot: 15; Loss: 0.6699
+[2024-06-09 03:48:15,947 INFO] Epoch:3, Snapshot: 16; Loss: 0.6572
+[2024-06-09 03:48:17,699 INFO] Epoch:3, Snapshot: 17; Loss: 0.6737
+[2024-06-09 03:48:19,387 INFO] Epoch:3, Snapshot: 18; Loss: 0.6655
+[2024-06-09 03:48:21,028 INFO] Epoch:3, Snapshot: 19; Loss: 0.6382
+[2024-06-09 03:48:22,723 INFO] Epoch:3, Snapshot: 20; Loss: 0.6510
+[2024-06-09 03:48:24,452 INFO] Epoch:3, Snapshot: 21; Loss: 0.6865
+[2024-06-09 03:48:26,093 INFO] Epoch:3, Snapshot: 22; Loss: 0.6809
+[2024-06-09 03:48:27,670 INFO] Epoch:3, Snapshot: 23; Loss: 0.6467
+[2024-06-09 03:48:29,361 INFO] Epoch:3, Snapshot: 24; Loss: 0.6562
+[2024-06-09 03:48:31,018 INFO] Epoch:3, Snapshot: 25; Loss: 0.6742
+[2024-06-09 03:48:32,692 INFO] Epoch:3, Snapshot: 26; Loss: 0.6141
+[2024-06-09 03:48:34,367 INFO] Epoch:3, Snapshot: 27; Loss: 0.6472
+[2024-06-09 03:48:35,961 INFO] Epoch:3, Snapshot: 28; Loss: 0.6647
+[2024-06-09 03:48:37,556 INFO] Epoch:3, Snapshot: 29; Loss: 0.6023
+[2024-06-09 03:48:39,181 INFO] Epoch:3, Snapshot: 30; Loss: 0.6679
+[2024-06-09 03:48:40,792 INFO] Epoch:3, Snapshot: 31; Loss: 0.6372
+[2024-06-09 03:48:42,373 INFO] Epoch:3, Snapshot: 32; Loss: 0.6675
+[2024-06-09 03:48:43,966 INFO] Epoch:3, Snapshot: 33; Loss: 0.6381
+[2024-06-09 03:48:45,625 INFO] Epoch:3, Snapshot: 34; Loss: 0.6886
+[2024-06-09 03:48:47,296 INFO] Epoch:3, Snapshot: 35; Loss: 0.6130
+[2024-06-09 03:48:49,047 INFO] Epoch:3, Snapshot: 36; Loss: 0.6616
+[2024-06-09 03:48:50,706 INFO] Epoch:3, Snapshot: 37; Loss: 0.6104
+[2024-06-09 03:48:52,377 INFO] Epoch:3, Snapshot: 38; Loss: 0.5863
+[2024-06-09 03:48:53,990 INFO] Epoch:3, Snapshot: 39; Loss: 0.6248
+[2024-06-09 03:48:55,678 INFO] Epoch:3, Snapshot: 40; Loss: 0.7183
+[2024-06-09 03:48:57,333 INFO] Epoch:3, Snapshot: 41; Loss: 0.6223
+[2024-06-09 03:49:55,091 INFO] ==========================================================================================
+[2024-06-09 03:49:55,091 INFO] Epoch:3, Loss: 0.6591, Time: 127.754, GPU: 1996.0MiB
+[2024-06-09 03:49:55,091 INFO] Epoch:3, Accuracy: 0.9970; F1: 0.9970; Recall: 1.0000; Precision: 0.9942; ROC AUC: 0.9970
+[2024-06-09 03:49:56,436 INFO] Epoch:4, Snapshot: 0; Loss: 0.5730
+[2024-06-09 03:49:58,343 INFO] Epoch:4, Snapshot: 1; Loss: 0.6240
+[2024-06-09 03:50:00,017 INFO] Epoch:4, Snapshot: 2; Loss: 0.5895
+[2024-06-09 03:50:01,816 INFO] Epoch:4, Snapshot: 3; Loss: 0.6391
+[2024-06-09 03:50:03,503 INFO] Epoch:4, Snapshot: 4; Loss: 0.6456
+[2024-06-09 03:50:05,176 INFO] Epoch:4, Snapshot: 5; Loss: 0.6457
+[2024-06-09 03:50:07,132 INFO] Epoch:4, Snapshot: 6; Loss: 0.7783
+[2024-06-09 03:50:08,804 INFO] Epoch:4, Snapshot: 7; Loss: 0.6065
+[2024-06-09 03:50:10,414 INFO] Epoch:4, Snapshot: 8; Loss: 0.7260
+[2024-06-09 03:50:12,241 INFO] Epoch:4, Snapshot: 9; Loss: 0.6775
+[2024-06-09 03:50:14,055 INFO] Epoch:4, Snapshot: 10; Loss: 0.5716
+[2024-06-09 03:50:15,744 INFO] Epoch:4, Snapshot: 11; Loss: 0.5707
+[2024-06-09 03:50:17,387 INFO] Epoch:4, Snapshot: 12; Loss: 0.6982
+[2024-06-09 03:50:19,043 INFO] Epoch:4, Snapshot: 13; Loss: 0.6347
+[2024-06-09 03:50:20,717 INFO] Epoch:4, Snapshot: 14; Loss: 0.6555
+[2024-06-09 03:50:22,327 INFO] Epoch:4, Snapshot: 15; Loss: 0.5884
+[2024-06-09 03:50:23,907 INFO] Epoch:4, Snapshot: 16; Loss: 0.6399
+[2024-06-09 03:50:25,689 INFO] Epoch:4, Snapshot: 17; Loss: 0.7635
+[2024-06-09 03:50:27,317 INFO] Epoch:4, Snapshot: 18; Loss: 0.5913
+[2024-06-09 03:50:28,957 INFO] Epoch:4, Snapshot: 19; Loss: 0.5950
+[2024-06-09 03:50:30,567 INFO] Epoch:4, Snapshot: 20; Loss: 0.6789
+[2024-06-09 03:50:32,208 INFO] Epoch:4, Snapshot: 21; Loss: 0.6890
+[2024-06-09 03:50:33,929 INFO] Epoch:4, Snapshot: 22; Loss: 0.5706
+[2024-06-09 03:50:35,491 INFO] Epoch:4, Snapshot: 23; Loss: 0.5808
+[2024-06-09 03:50:37,197 INFO] Epoch:4, Snapshot: 24; Loss: 0.6770
+[2024-06-09 03:50:38,885 INFO] Epoch:4, Snapshot: 25; Loss: 0.5498
+[2024-06-09 03:50:40,576 INFO] Epoch:4, Snapshot: 26; Loss: 0.5484
+[2024-06-09 03:50:42,247 INFO] Epoch:4, Snapshot: 27; Loss: 0.6386
+[2024-06-09 03:50:43,887 INFO] Epoch:4, Snapshot: 28; Loss: 0.6579
+[2024-06-09 03:50:45,418 INFO] Epoch:4, Snapshot: 29; Loss: 0.5543
+[2024-06-09 03:50:47,171 INFO] Epoch:4, Snapshot: 30; Loss: 0.6217
+[2024-06-09 03:50:48,905 INFO] Epoch:4, Snapshot: 31; Loss: 0.5669
+[2024-06-09 03:50:50,561 INFO] Epoch:4, Snapshot: 32; Loss: 0.6415
+[2024-06-09 03:50:52,253 INFO] Epoch:4, Snapshot: 33; Loss: 0.6023
+[2024-06-09 03:50:53,939 INFO] Epoch:4, Snapshot: 34; Loss: 0.7246
+[2024-06-09 03:50:55,631 INFO] Epoch:4, Snapshot: 35; Loss: 0.5631
+[2024-06-09 03:50:57,395 INFO] Epoch:4, Snapshot: 36; Loss: 0.5944
+[2024-06-09 03:50:59,082 INFO] Epoch:4, Snapshot: 37; Loss: 0.5518
+[2024-06-09 03:51:00,757 INFO] Epoch:4, Snapshot: 38; Loss: 0.5646
+[2024-06-09 03:51:02,352 INFO] Epoch:4, Snapshot: 39; Loss: 0.6768
+[2024-06-09 03:51:04,196 INFO] Epoch:4, Snapshot: 40; Loss: 0.5769
+[2024-06-09 03:52:21,951 INFO] fixed random seed
+[2024-06-09 03:52:23,500 INFO] Epoch:1, Snapshot: 0; Loss: 0.7918
+[2024-06-09 03:52:25,392 INFO] Epoch:1, Snapshot: 1; Loss: 1.1210
+[2024-06-09 03:52:27,098 INFO] Epoch:1, Snapshot: 2; Loss: 0.7230
+[2024-06-09 03:52:28,894 INFO] Epoch:1, Snapshot: 3; Loss: 0.6962
+[2024-06-09 03:52:30,504 INFO] Epoch:1, Snapshot: 4; Loss: 0.7331
+[2024-06-09 03:52:32,099 INFO] Epoch:1, Snapshot: 5; Loss: 0.7019
+[2024-06-09 03:52:33,911 INFO] Epoch:1, Snapshot: 6; Loss: 0.7312
+[2024-06-09 03:52:35,613 INFO] Epoch:1, Snapshot: 7; Loss: 1.1595
+[2024-06-09 03:52:37,224 INFO] Epoch:1, Snapshot: 8; Loss: 1.1300
+[2024-06-09 03:52:39,045 INFO] Epoch:1, Snapshot: 9; Loss: 0.6998
+[2024-06-09 03:52:40,849 INFO] Epoch:1, Snapshot: 10; Loss: 0.7129
+[2024-06-09 03:52:42,635 INFO] Epoch:1, Snapshot: 11; Loss: 0.7069
+[2024-06-09 03:52:44,444 INFO] Epoch:1, Snapshot: 12; Loss: 0.6956
+[2024-06-09 03:52:46,824 INFO] Epoch:1, Snapshot: 13; Loss: 0.7032
+[2024-06-09 03:52:48,763 INFO] Epoch:1, Snapshot: 14; Loss: 0.7042
+[2024-06-09 03:52:50,421 INFO] Epoch:1, Snapshot: 15; Loss: 0.6943
+[2024-06-09 03:52:51,984 INFO] Epoch:1, Snapshot: 16; Loss: 0.6968
+[2024-06-09 03:52:53,703 INFO] Epoch:1, Snapshot: 17; Loss: 0.6987
+[2024-06-09 03:52:55,298 INFO] Epoch:1, Snapshot: 18; Loss: 0.6926
+[2024-06-09 03:52:56,989 INFO] Epoch:1, Snapshot: 19; Loss: 0.6934
+[2024-06-09 03:52:58,598 INFO] Epoch:1, Snapshot: 20; Loss: 0.6921
+[2024-06-09 03:53:00,240 INFO] Epoch:1, Snapshot: 21; Loss: 0.6964
+[2024-06-09 03:53:01,899 INFO] Epoch:1, Snapshot: 22; Loss: 0.6959
+[2024-06-09 03:53:03,398 INFO] Epoch:1, Snapshot: 23; Loss: 0.6909
+[2024-06-09 03:53:05,088 INFO] Epoch:1, Snapshot: 24; Loss: 0.6987
+[2024-06-09 03:53:06,683 INFO] Epoch:1, Snapshot: 25; Loss: 0.6963
+[2024-06-09 03:53:08,308 INFO] Epoch:1, Snapshot: 26; Loss: 0.6922
+[2024-06-09 03:53:09,936 INFO] Epoch:1, Snapshot: 27; Loss: 0.6909
+[2024-06-09 03:53:11,531 INFO] Epoch:1, Snapshot: 28; Loss: 0.6923
+[2024-06-09 03:53:13,172 INFO] Epoch:1, Snapshot: 29; Loss: 0.6930
+[2024-06-09 03:53:14,859 INFO] Epoch:1, Snapshot: 30; Loss: 0.9102
+[2024-06-09 03:53:16,439 INFO] Epoch:1, Snapshot: 31; Loss: 0.9133
+[2024-06-09 03:53:18,143 INFO] Epoch:1, Snapshot: 32; Loss: 0.6936
+[2024-06-09 03:53:19,849 INFO] Epoch:1, Snapshot: 33; Loss: 0.6950
+[2024-06-09 03:53:21,459 INFO] Epoch:1, Snapshot: 34; Loss: 0.6920
+[2024-06-09 03:53:23,067 INFO] Epoch:1, Snapshot: 35; Loss: 0.6933
+[2024-06-09 03:53:24,742 INFO] Epoch:1, Snapshot: 36; Loss: 0.6933
+[2024-06-09 03:53:26,417 INFO] Epoch:1, Snapshot: 37; Loss: 0.6918
+[2024-06-09 03:53:28,088 INFO] Epoch:1, Snapshot: 38; Loss: 0.6916
+[2024-06-09 03:53:29,685 INFO] Epoch:1, Snapshot: 39; Loss: 0.6924
+[2024-06-09 03:53:31,232 INFO] Epoch:1, Snapshot: 40; Loss: 0.6926
+[2024-06-09 03:53:32,864 INFO] Epoch:1, Snapshot: 41; Loss: 0.8330
+[2024-06-09 03:54:30,583 INFO] ==========================================================================================
+[2024-06-09 03:54:30,583 INFO] Epoch:1, Loss: 0.7456, Time: 128.633, GPU: 1383.8MiB
+[2024-06-09 03:54:30,583 INFO] Epoch:1, Accuracy: 0.6991; F1: 0.4171; Recall: 0.3997; Precision: 0.5202; ROC AUC: 0.6980, Memory: 1756.1906, time: 551.1503
+[2024-06-09 03:54:31,817 INFO] Epoch:2, Snapshot: 0; Loss: 0.8166
+[2024-06-09 03:54:33,817 INFO] Epoch:2, Snapshot: 1; Loss: 0.6927
+[2024-06-09 03:54:35,506 INFO] Epoch:2, Snapshot: 2; Loss: 0.6965
+[2024-06-09 03:54:37,289 INFO] Epoch:2, Snapshot: 3; Loss: 0.7756
+[2024-06-09 03:54:38,977 INFO] Epoch:2, Snapshot: 4; Loss: 0.7579
+[2024-06-09 03:54:40,602 INFO] Epoch:2, Snapshot: 5; Loss: 0.6918
+[2024-06-09 03:54:42,403 INFO] Epoch:2, Snapshot: 6; Loss: 0.6953
+[2024-06-09 03:54:44,044 INFO] Epoch:2, Snapshot: 7; Loss: 0.6955
+[2024-06-09 03:54:45,641 INFO] Epoch:2, Snapshot: 8; Loss: 0.6934
+[2024-06-09 03:54:47,531 INFO] Epoch:2, Snapshot: 9; Loss: 0.6997
+[2024-06-09 03:54:49,280 INFO] Epoch:2, Snapshot: 10; Loss: 0.6988
+[2024-06-09 03:54:50,843 INFO] Epoch:2, Snapshot: 11; Loss: 0.6956
+[2024-06-09 03:54:52,406 INFO] Epoch:2, Snapshot: 12; Loss: 0.6919
+[2024-06-09 03:54:54,110 INFO] Epoch:2, Snapshot: 13; Loss: 0.7251
+[2024-06-09 03:54:55,770 INFO] Epoch:2, Snapshot: 14; Loss: 0.7127
+[2024-06-09 03:54:57,395 INFO] Epoch:2, Snapshot: 15; Loss: 0.6914
+[2024-06-09 03:54:59,020 INFO] Epoch:2, Snapshot: 16; Loss: 0.6919
+[2024-06-09 03:55:00,710 INFO] Epoch:2, Snapshot: 17; Loss: 0.6923
+[2024-06-09 03:55:02,366 INFO] Epoch:2, Snapshot: 18; Loss: 0.6927
+[2024-06-09 03:55:04,070 INFO] Epoch:2, Snapshot: 19; Loss: 0.6923
+[2024-06-09 03:55:05,681 INFO] Epoch:2, Snapshot: 20; Loss: 0.6912
+[2024-06-09 03:55:07,417 INFO] Epoch:2, Snapshot: 21; Loss: 0.6919
+[2024-06-09 03:55:09,089 INFO] Epoch:2, Snapshot: 22; Loss: 0.6925
+[2024-06-09 03:55:10,746 INFO] Epoch:2, Snapshot: 23; Loss: 0.6908
+[2024-06-09 03:55:12,387 INFO] Epoch:2, Snapshot: 24; Loss: 0.6914
+[2024-06-09 03:55:13,997 INFO] Epoch:2, Snapshot: 25; Loss: 0.6924
+[2024-06-09 03:55:15,686 INFO] Epoch:2, Snapshot: 26; Loss: 0.6921
+[2024-06-09 03:55:17,405 INFO] Epoch:2, Snapshot: 27; Loss: 0.6900
+[2024-06-09 03:55:18,985 INFO] Epoch:2, Snapshot: 28; Loss: 0.7017
+[2024-06-09 03:55:20,538 INFO] Epoch:2, Snapshot: 29; Loss: 0.7083
+[2024-06-09 03:55:22,206 INFO] Epoch:2, Snapshot: 30; Loss: 0.6924
+[2024-06-09 03:55:23,816 INFO] Epoch:2, Snapshot: 31; Loss: 0.6907
+[2024-06-09 03:55:25,458 INFO] Epoch:2, Snapshot: 32; Loss: 0.6914
+[2024-06-09 03:55:27,056 INFO] Epoch:2, Snapshot: 33; Loss: 0.6918
+[2024-06-09 03:55:28,571 INFO] Epoch:2, Snapshot: 34; Loss: 0.6905
+[2024-06-09 03:55:30,275 INFO] Epoch:2, Snapshot: 35; Loss: 0.6910
+[2024-06-09 03:55:32,026 INFO] Epoch:2, Snapshot: 36; Loss: 0.6919
+[2024-06-09 03:55:33,637 INFO] Epoch:2, Snapshot: 37; Loss: 0.6890
+[2024-06-09 03:55:35,216 INFO] Epoch:2, Snapshot: 38; Loss: 0.6906
+[2024-06-09 03:55:36,935 INFO] Epoch:2, Snapshot: 39; Loss: 0.6910
+[2024-06-09 03:55:38,594 INFO] Epoch:2, Snapshot: 40; Loss: 0.6900
+[2024-06-09 03:55:40,156 INFO] Epoch:2, Snapshot: 41; Loss: 0.6896
+[2024-06-09 03:56:37,629 INFO] ==========================================================================================
+[2024-06-09 03:56:37,629 INFO] Epoch:2, Loss: 0.7008, Time: 127.046, GPU: 1996.0MiB
+[2024-06-09 03:56:37,629 INFO] Epoch:2, Accuracy: 0.9714; F1: 0.9557; Recall: 0.9532; Precision: 0.9658; ROC AUC: 0.9717, Memory: 1996.0438, time: 539.4287
+[2024-06-09 03:56:39,083 INFO] Epoch:3, Snapshot: 0; Loss: 0.7251
+[2024-06-09 03:56:40,897 INFO] Epoch:3, Snapshot: 1; Loss: 0.6906
+[2024-06-09 03:56:42,554 INFO] Epoch:3, Snapshot: 2; Loss: 0.6892
+[2024-06-09 03:56:44,243 INFO] Epoch:3, Snapshot: 3; Loss: 0.6906
+[2024-06-09 03:56:45,838 INFO] Epoch:3, Snapshot: 4; Loss: 0.6887
+[2024-06-09 03:56:47,558 INFO] Epoch:3, Snapshot: 5; Loss: 0.6904
+[2024-06-09 03:56:49,449 INFO] Epoch:3, Snapshot: 6; Loss: 0.6908
+[2024-06-09 03:56:51,059 INFO] Epoch:3, Snapshot: 7; Loss: 0.6902
+[2024-06-09 03:56:52,735 INFO] Epoch:3, Snapshot: 8; Loss: 0.6877
+[2024-06-09 03:56:54,607 INFO] Epoch:3, Snapshot: 9; Loss: 0.6902
+[2024-06-09 03:56:56,250 INFO] Epoch:3, Snapshot: 10; Loss: 0.7130
+[2024-06-09 03:56:57,972 INFO] Epoch:3, Snapshot: 11; Loss: 0.7097
+[2024-06-09 03:56:59,614 INFO] Epoch:3, Snapshot: 12; Loss: 0.6861
+[2024-06-09 03:57:01,177 INFO] Epoch:3, Snapshot: 13; Loss: 0.6865
+[2024-06-09 03:57:02,835 INFO] Epoch:3, Snapshot: 14; Loss: 0.6896
+[2024-06-09 03:57:04,477 INFO] Epoch:3, Snapshot: 15; Loss: 0.6869
+[2024-06-09 03:57:06,041 INFO] Epoch:3, Snapshot: 16; Loss: 0.6851
+[2024-06-09 03:57:07,852 INFO] Epoch:3, Snapshot: 17; Loss: 0.6886
+[2024-06-09 03:57:09,511 INFO] Epoch:3, Snapshot: 18; Loss: 0.6846
+[2024-06-09 03:57:11,153 INFO] Epoch:3, Snapshot: 19; Loss: 0.6828
+[2024-06-09 03:57:12,793 INFO] Epoch:3, Snapshot: 20; Loss: 0.6865
+[2024-06-09 03:57:14,420 INFO] Epoch:3, Snapshot: 21; Loss: 0.6873
+[2024-06-09 03:57:16,032 INFO] Epoch:3, Snapshot: 22; Loss: 0.6881
+[2024-06-09 03:57:17,657 INFO] Epoch:3, Snapshot: 23; Loss: 0.6823
+[2024-06-09 03:57:19,315 INFO] Epoch:3, Snapshot: 24; Loss: 0.6837
+[2024-06-09 03:57:20,975 INFO] Epoch:3, Snapshot: 25; Loss: 0.6865
+[2024-06-09 03:57:22,615 INFO] Epoch:3, Snapshot: 26; Loss: 0.6761
+[2024-06-09 03:57:24,194 INFO] Epoch:3, Snapshot: 27; Loss: 0.6843
+[2024-06-09 03:57:25,836 INFO] Epoch:3, Snapshot: 28; Loss: 0.6766
+[2024-06-09 03:57:27,431 INFO] Epoch:3, Snapshot: 29; Loss: 0.6817
+[2024-06-09 03:57:29,070 INFO] Epoch:3, Snapshot: 30; Loss: 0.6835
+[2024-06-09 03:57:30,743 INFO] Epoch:3, Snapshot: 31; Loss: 0.6793
+[2024-06-09 03:57:32,447 INFO] Epoch:3, Snapshot: 32; Loss: 0.6752
+[2024-06-09 03:57:34,057 INFO] Epoch:3, Snapshot: 33; Loss: 0.6829
+[2024-06-09 03:57:35,692 INFO] Epoch:3, Snapshot: 34; Loss: 0.7118
+[2024-06-09 03:57:37,278 INFO] Epoch:3, Snapshot: 35; Loss: 0.6755
+[2024-06-09 03:57:38,936 INFO] Epoch:3, Snapshot: 36; Loss: 0.6893
+[2024-06-09 03:57:40,528 INFO] Epoch:3, Snapshot: 37; Loss: 0.6750
+[2024-06-09 03:57:42,217 INFO] Epoch:3, Snapshot: 38; Loss: 0.6734
+[2024-06-09 03:57:43,889 INFO] Epoch:3, Snapshot: 39; Loss: 0.6670
+[2024-06-09 03:57:45,532 INFO] Epoch:3, Snapshot: 40; Loss: 0.7073
+[2024-06-09 03:57:47,127 INFO] Epoch:3, Snapshot: 41; Loss: 0.6618
+[2024-06-09 03:58:45,038 INFO] ==========================================================================================
+[2024-06-09 03:58:45,038 INFO] Epoch:3, Loss: 0.6872, Time: 127.409, GPU: 1996.0MiB
+[2024-06-09 03:58:45,038 INFO] Epoch:3, Accuracy: 0.9921; F1: 0.9923; Recall: 1.0000; Precision: 0.9849; ROC AUC: 0.9922, Memory: 1996.0438, time: 553.5015
+[2024-06-09 03:58:46,538 INFO] Epoch:4, Snapshot: 0; Loss: 0.6753
+[2024-06-09 03:58:48,383 INFO] Epoch:4, Snapshot: 1; Loss: 0.6775
+[2024-06-09 03:58:50,058 INFO] Epoch:4, Snapshot: 2; Loss: 0.6712
+[2024-06-09 03:58:51,839 INFO] Epoch:4, Snapshot: 3; Loss: 0.6667
+[2024-06-09 03:58:53,512 INFO] Epoch:4, Snapshot: 4; Loss: 0.6743
+[2024-06-09 03:58:55,169 INFO] Epoch:4, Snapshot: 5; Loss: 0.6860
+[2024-06-09 03:58:56,968 INFO] Epoch:4, Snapshot: 6; Loss: 0.6915
+[2024-06-09 03:58:58,500 INFO] Epoch:4, Snapshot: 7; Loss: 0.6529
+[2024-06-09 03:59:00,188 INFO] Epoch:4, Snapshot: 8; Loss: 0.6892
+[2024-06-09 03:59:02,049 INFO] Epoch:4, Snapshot: 9; Loss: 0.6732
+[2024-06-09 03:59:03,738 INFO] Epoch:4, Snapshot: 10; Loss: 0.6564
+[2024-06-09 03:59:05,302 INFO] Epoch:4, Snapshot: 11; Loss: 0.6539
+[2024-06-09 03:59:06,991 INFO] Epoch:4, Snapshot: 12; Loss: 0.7132
+[2024-06-09 03:59:08,633 INFO] Epoch:4, Snapshot: 13; Loss: 0.6843
+[2024-06-09 03:59:10,212 INFO] Epoch:4, Snapshot: 14; Loss: 0.6926
+[2024-06-09 03:59:11,899 INFO] Epoch:4, Snapshot: 15; Loss: 0.6410
+[2024-06-09 03:59:13,572 INFO] Epoch:4, Snapshot: 16; Loss: 0.6525
+[2024-06-09 03:59:15,231 INFO] Epoch:4, Snapshot: 17; Loss: 0.6795
+[2024-06-09 03:59:16,949 INFO] Epoch:4, Snapshot: 18; Loss: 0.6477
+[2024-06-09 03:59:18,560 INFO] Epoch:4, Snapshot: 19; Loss: 0.6487
+[2024-06-10 01:37:10,339 INFO] fixed random seed
+[2024-06-10 01:37:12,356 INFO] Epoch:1, Snapshot: 0; Loss: 0.7287
+[2024-06-10 01:37:14,123 INFO] Epoch:1, Snapshot: 1; Loss: 0.7253
+[2024-06-10 01:37:15,736 INFO] Epoch:1, Snapshot: 2; Loss: 0.7113
+[2024-06-10 01:37:17,457 INFO] Epoch:1, Snapshot: 3; Loss: 0.7035
+[2024-06-10 01:37:19,316 INFO] Epoch:1, Snapshot: 4; Loss: 0.7016
+[2024-06-10 01:37:21,132 INFO] Epoch:1, Snapshot: 5; Loss: 0.7067
+[2024-06-10 01:37:23,070 INFO] Epoch:1, Snapshot: 6; Loss: 0.7065
+[2024-06-10 01:37:24,930 INFO] Epoch:1, Snapshot: 7; Loss: 0.7069
+[2024-06-10 01:37:26,761 INFO] Epoch:1, Snapshot: 8; Loss: 0.7056
+[2024-06-10 01:37:28,668 INFO] Epoch:1, Snapshot: 9; Loss: 0.7034
+[2024-06-10 01:37:30,455 INFO] Epoch:1, Snapshot: 10; Loss: 0.6984
+[2024-06-10 01:37:32,252 INFO] Epoch:1, Snapshot: 11; Loss: 0.6984
+[2024-06-10 01:37:33,987 INFO] Epoch:1, Snapshot: 12; Loss: 0.6952
+[2024-06-10 01:37:35,692 INFO] Epoch:1, Snapshot: 13; Loss: 0.6931
+[2024-06-10 01:37:37,349 INFO] Epoch:1, Snapshot: 14; Loss: 0.6917
+[2024-06-10 01:37:38,959 INFO] Epoch:1, Snapshot: 15; Loss: 0.6929
+[2024-06-10 01:37:40,463 INFO] Epoch:1, Snapshot: 16; Loss: 0.6956
+[2024-06-10 01:37:42,143 INFO] Epoch:1, Snapshot: 17; Loss: 0.6936
+[2024-06-10 01:37:43,802 INFO] Epoch:1, Snapshot: 18; Loss: 0.6929
+[2024-06-10 01:37:45,505 INFO] Epoch:1, Snapshot: 19; Loss: 0.6935
+[2024-06-10 01:37:47,313 INFO] Epoch:1, Snapshot: 20; Loss: 0.6932
+[2024-06-10 01:37:49,916 INFO] Epoch:1, Snapshot: 21; Loss: 0.6958
+[2024-06-10 01:37:52,700 INFO] Epoch:1, Snapshot: 22; Loss: 0.6930
+[2024-06-10 01:37:55,555 INFO] Epoch:1, Snapshot: 23; Loss: 0.6933
+[2024-06-10 01:37:58,283 INFO] Epoch:1, Snapshot: 24; Loss: 0.6927
+[2024-06-10 01:38:00,763 INFO] Epoch:1, Snapshot: 25; Loss: 0.6942
+[2024-06-10 02:08:52,198 INFO] fixed random seed
+[2024-06-10 02:08:54,319 INFO] Epoch:1, Snapshot: 0; Loss: 1.5047
+[2024-06-10 02:08:56,121 INFO] Epoch:1, Snapshot: 1; Loss: 1.6670
+[2024-06-10 02:08:58,515 INFO] Epoch:1, Snapshot: 2; Loss: 0.8850
+[2024-06-10 02:09:01,441 INFO] Epoch:1, Snapshot: 3; Loss: 0.7270
+[2024-06-10 02:09:04,281 INFO] Epoch:1, Snapshot: 4; Loss: 0.7221
+[2024-06-10 02:09:06,297 INFO] Epoch:1, Snapshot: 5; Loss: 0.7069
+[2024-06-10 02:09:08,398 INFO] Epoch:1, Snapshot: 6; Loss: 0.7138
+[2024-06-10 02:09:10,597 INFO] Epoch:1, Snapshot: 7; Loss: 0.7190
+[2024-06-10 02:09:12,775 INFO] Epoch:1, Snapshot: 8; Loss: 0.6999
+[2024-06-10 02:09:14,885 INFO] Epoch:1, Snapshot: 9; Loss: 0.6990
+[2024-06-10 02:09:17,031 INFO] Epoch:1, Snapshot: 10; Loss: 0.7007
+[2024-06-10 02:09:19,230 INFO] Epoch:1, Snapshot: 11; Loss: 0.6984
+[2024-06-10 02:09:21,147 INFO] Epoch:1, Snapshot: 12; Loss: 0.6993
+[2024-06-10 02:09:23,030 INFO] Epoch:1, Snapshot: 13; Loss: 0.7151
+[2024-06-10 02:09:25,180 INFO] Epoch:1, Snapshot: 14; Loss: 0.7156
+[2024-06-10 02:09:27,399 INFO] Epoch:1, Snapshot: 15; Loss: 0.7030
+[2024-06-10 02:09:29,661 INFO] Epoch:1, Snapshot: 16; Loss: 1.1157
+[2024-06-10 02:09:31,666 INFO] Epoch:1, Snapshot: 17; Loss: 1.0472
+[2024-06-10 02:09:33,820 INFO] Epoch:1, Snapshot: 18; Loss: 1.0574
+[2024-06-10 02:10:08,960 INFO] ==========================================================================================
+[2024-06-10 02:10:08,960 INFO] Epoch:1, Loss: 0.8683, Time: 76.763, GPU: 281.9MiB
+[2024-06-10 02:10:08,960 INFO] Epoch:1, Accuracy: 0.4931; F1: 0.0000; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, Memory: 405.1722, time: 865.7086
+[2024-06-10 02:10:11,016 INFO] Epoch:2, Snapshot: 0; Loss: 1.1485
+[2024-06-10 02:10:13,292 INFO] Epoch:2, Snapshot: 1; Loss: 0.6971
+[2024-06-10 02:10:15,848 INFO] Epoch:2, Snapshot: 2; Loss: 0.6957
+[2024-06-10 02:10:17,949 INFO] Epoch:2, Snapshot: 3; Loss: 0.6978
+[2024-06-10 02:10:20,478 INFO] Epoch:2, Snapshot: 4; Loss: 0.7008
+[2024-06-10 02:10:23,181 INFO] Epoch:2, Snapshot: 5; Loss: 0.6940
+[2024-06-10 02:10:26,287 INFO] Epoch:2, Snapshot: 6; Loss: 0.9279
+[2024-06-10 02:10:28,809 INFO] Epoch:2, Snapshot: 7; Loss: 0.8722
+[2024-06-10 02:10:30,991 INFO] Epoch:2, Snapshot: 8; Loss: 0.7117
+[2024-06-10 02:10:33,476 INFO] Epoch:2, Snapshot: 9; Loss: 0.6987
+[2024-06-10 02:10:35,727 INFO] Epoch:2, Snapshot: 10; Loss: 0.6965
+[2024-06-10 02:10:38,605 INFO] Epoch:2, Snapshot: 11; Loss: 0.6943
+[2024-06-10 02:10:41,605 INFO] Epoch:2, Snapshot: 12; Loss: 0.6959
+[2024-06-10 02:10:44,732 INFO] Epoch:2, Snapshot: 13; Loss: 0.6931
+[2024-06-10 02:10:47,437 INFO] Epoch:2, Snapshot: 14; Loss: 0.9111
+[2024-06-10 02:10:49,656 INFO] Epoch:2, Snapshot: 15; Loss: 0.8841
+[2024-06-10 02:10:52,328 INFO] Epoch:2, Snapshot: 16; Loss: 0.6933
+[2024-06-10 02:10:55,048 INFO] Epoch:2, Snapshot: 17; Loss: 0.8110
+[2024-06-10 02:10:57,628 INFO] Epoch:2, Snapshot: 18; Loss: 0.7647
+[2024-06-10 02:11:38,098 INFO] ==========================================================================================
+[2024-06-10 02:11:38,098 INFO] Epoch:2, Loss: 0.7731, Time: 89.138, GPU: 416.6MiB
+[2024-06-10 02:11:38,098 INFO] Epoch:2, Accuracy: 0.4931; F1: 0.0000; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, Memory: 416.9004, time: 1144.6112
+[2024-06-10 02:11:40,223 INFO] Epoch:3, Snapshot: 0; Loss: 0.8010
+[2024-06-10 02:11:42,944 INFO] Epoch:3, Snapshot: 1; Loss: 0.6964
+[2024-06-10 02:11:45,852 INFO] Epoch:3, Snapshot: 2; Loss: 0.6961
+[2024-06-10 02:11:48,289 INFO] Epoch:3, Snapshot: 3; Loss: 0.6947
+[2024-06-10 02:11:50,876 INFO] Epoch:3, Snapshot: 4; Loss: 0.6961
+[2024-06-10 02:11:53,778 INFO] Epoch:3, Snapshot: 5; Loss: 0.6934
+[2024-06-10 02:11:56,837 INFO] Epoch:3, Snapshot: 6; Loss: 0.7236
+[2024-06-10 02:12:00,009 INFO] Epoch:3, Snapshot: 7; Loss: 0.7123
+[2024-06-10 02:12:02,809 INFO] Epoch:3, Snapshot: 8; Loss: 0.6933
+[2024-06-10 02:12:05,652 INFO] Epoch:3, Snapshot: 9; Loss: 0.6930
+[2024-06-10 02:12:08,060 INFO] Epoch:3, Snapshot: 10; Loss: 0.6939
+[2024-06-10 02:12:10,780 INFO] Epoch:3, Snapshot: 11; Loss: 0.6935
+[2024-06-10 02:12:14,002 INFO] Epoch:3, Snapshot: 12; Loss: 0.6937
+[2024-06-10 02:12:16,989 INFO] Epoch:3, Snapshot: 13; Loss: 0.6941
+[2024-06-10 02:12:20,021 INFO] Epoch:3, Snapshot: 14; Loss: 0.6938
+[2024-06-10 02:12:22,803 INFO] Epoch:3, Snapshot: 15; Loss: 0.7033
+[2024-06-10 02:12:25,506 INFO] Epoch:3, Snapshot: 16; Loss: 0.6933
+[2024-06-10 02:12:28,363 INFO] Epoch:3, Snapshot: 17; Loss: 0.7018
+[2024-06-10 02:12:31,093 INFO] Epoch:3, Snapshot: 18; Loss: 0.6933
+[2024-06-10 02:13:09,185 INFO] ==========================================================================================
+[2024-06-10 02:13:09,185 INFO] Epoch:3, Loss: 0.7032, Time: 91.087, GPU: 417.9MiB
+[2024-06-10 02:13:09,185 INFO] Epoch:3, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 992.8301
+[2024-06-10 02:13:11,146 INFO] Epoch:4, Snapshot: 0; Loss: 0.7141
+[2024-06-10 02:13:13,395 INFO] Epoch:4, Snapshot: 1; Loss: 0.7000
+[2024-06-10 02:13:16,323 INFO] Epoch:4, Snapshot: 2; Loss: 0.6933
+[2024-06-10 02:13:19,335 INFO] Epoch:4, Snapshot: 3; Loss: 0.6930
+[2024-06-10 02:13:22,701 INFO] Epoch:4, Snapshot: 4; Loss: 0.6927
+[2024-06-10 02:13:26,000 INFO] Epoch:4, Snapshot: 5; Loss: 0.6932
+[2024-06-10 02:13:28,648 INFO] Epoch:4, Snapshot: 6; Loss: 0.6934
+[2024-06-10 02:13:30,987 INFO] Epoch:4, Snapshot: 7; Loss: 0.6937
+[2024-06-10 02:13:33,776 INFO] Epoch:4, Snapshot: 8; Loss: 0.6938
+[2024-06-10 02:13:35,846 INFO] Epoch:4, Snapshot: 9; Loss: 0.6937
+[2024-06-10 02:13:38,254 INFO] Epoch:4, Snapshot: 10; Loss: 0.6931
+[2024-06-10 02:13:40,674 INFO] Epoch:4, Snapshot: 11; Loss: 0.6933
+[2024-06-10 02:13:42,891 INFO] Epoch:4, Snapshot: 12; Loss: 0.6953
+[2024-06-10 02:13:44,923 INFO] Epoch:4, Snapshot: 13; Loss: 0.6945
+[2024-06-10 02:13:46,963 INFO] Epoch:4, Snapshot: 14; Loss: 0.6922
+[2024-06-10 02:13:49,127 INFO] Epoch:4, Snapshot: 15; Loss: 0.6948
+[2024-06-10 02:13:51,307 INFO] Epoch:4, Snapshot: 16; Loss: 0.6957
+[2024-06-10 02:13:53,658 INFO] Epoch:4, Snapshot: 17; Loss: 0.6928
+[2024-06-10 02:13:55,996 INFO] Epoch:4, Snapshot: 18; Loss: 0.6926
+[2024-06-10 02:14:32,011 INFO] ==========================================================================================
+[2024-06-10 02:14:32,011 INFO] Epoch:4, Loss: 0.6950, Time: 82.826, GPU: 417.9MiB
+[2024-06-10 02:14:32,011 INFO] Epoch:4, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 940.6189
+[2024-06-10 02:14:34,060 INFO] Epoch:5, Snapshot: 0; Loss: 0.7100
+[2024-06-10 02:14:36,373 INFO] Epoch:5, Snapshot: 1; Loss: 0.6940
+[2024-06-10 02:14:38,447 INFO] Epoch:5, Snapshot: 2; Loss: 0.6929
+[2024-06-10 02:14:41,435 INFO] Epoch:5, Snapshot: 3; Loss: 0.6926
+[2024-06-10 02:14:44,384 INFO] Epoch:5, Snapshot: 4; Loss: 0.6925
+[2024-06-10 02:14:46,897 INFO] Epoch:5, Snapshot: 5; Loss: 0.6934
+[2024-06-10 02:14:50,061 INFO] Epoch:5, Snapshot: 6; Loss: 0.6936
+[2024-06-10 02:14:53,149 INFO] Epoch:5, Snapshot: 7; Loss: 0.6939
+[2024-06-10 02:14:56,113 INFO] Epoch:5, Snapshot: 8; Loss: 0.6939
+[2024-06-10 02:14:59,030 INFO] Epoch:5, Snapshot: 9; Loss: 0.6938
+[2024-06-10 02:15:01,867 INFO] Epoch:5, Snapshot: 10; Loss: 0.6931
+[2024-06-10 02:15:04,470 INFO] Epoch:5, Snapshot: 11; Loss: 0.6932
+[2024-06-10 02:15:07,277 INFO] Epoch:5, Snapshot: 12; Loss: 0.6928
+[2024-06-10 02:15:10,257 INFO] Epoch:5, Snapshot: 13; Loss: 0.6926
+[2024-06-10 02:15:13,281 INFO] Epoch:5, Snapshot: 14; Loss: 0.6924
+[2024-06-10 02:15:16,137 INFO] Epoch:5, Snapshot: 15; Loss: 0.6927
+[2024-06-10 02:15:18,634 INFO] Epoch:5, Snapshot: 16; Loss: 0.6932
+[2024-06-10 02:15:21,522 INFO] Epoch:5, Snapshot: 17; Loss: 0.6928
+[2024-06-10 02:15:24,072 INFO] Epoch:5, Snapshot: 18; Loss: 0.6952
+[2024-06-10 02:15:59,830 INFO] ==========================================================================================
+[2024-06-10 02:15:59,830 INFO] Epoch:5, Loss: 0.6941, Time: 87.819, GPU: 417.9MiB
+[2024-06-10 02:15:59,830 INFO] Epoch:5, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 911.8129
+[2024-06-10 02:16:01,947 INFO] Epoch:6, Snapshot: 0; Loss: 0.7099
+[2024-06-10 02:16:04,032 INFO] Epoch:6, Snapshot: 1; Loss: 0.6938
+[2024-06-10 02:16:06,130 INFO] Epoch:6, Snapshot: 2; Loss: 0.6982
+[2024-06-10 02:16:08,593 INFO] Epoch:6, Snapshot: 3; Loss: 0.6978
+[2024-06-10 02:16:11,228 INFO] Epoch:6, Snapshot: 4; Loss: 0.6949
+[2024-06-10 02:16:13,753 INFO] Epoch:6, Snapshot: 5; Loss: 0.6957
+[2024-06-10 02:16:16,341 INFO] Epoch:6, Snapshot: 6; Loss: 0.6936
+[2024-06-10 02:16:18,990 INFO] Epoch:6, Snapshot: 7; Loss: 0.6937
+[2024-06-10 02:16:21,311 INFO] Epoch:6, Snapshot: 8; Loss: 0.6937
+[2024-06-10 02:16:23,931 INFO] Epoch:6, Snapshot: 9; Loss: 0.6947
+[2024-06-10 02:16:26,670 INFO] Epoch:6, Snapshot: 10; Loss: 0.6943
+[2024-06-10 02:16:28,940 INFO] Epoch:6, Snapshot: 11; Loss: 0.6944
+[2024-06-10 02:16:30,983 INFO] Epoch:6, Snapshot: 12; Loss: 0.6950
+[2024-06-10 02:16:33,009 INFO] Epoch:6, Snapshot: 13; Loss: 0.6929
+[2024-06-10 02:16:35,118 INFO] Epoch:6, Snapshot: 14; Loss: 0.6933
+[2024-06-10 02:16:37,196 INFO] Epoch:6, Snapshot: 15; Loss: 0.6928
+[2024-06-10 02:16:38,786 INFO] Epoch:6, Snapshot: 16; Loss: 0.6932
+[2024-06-10 02:16:40,953 INFO] Epoch:6, Snapshot: 17; Loss: 0.6934
+[2024-06-10 02:16:43,113 INFO] Epoch:6, Snapshot: 18; Loss: 0.6932
+[2024-06-10 02:17:19,329 INFO] ==========================================================================================
+[2024-06-10 02:17:19,329 INFO] Epoch:6, Loss: 0.6952, Time: 79.499, GPU: 417.9MiB
+[2024-06-10 02:17:19,329 INFO] Epoch:6, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 945.7384
+[2024-06-10 02:17:21,613 INFO] Epoch:7, Snapshot: 0; Loss: 0.7093
+[2024-06-10 02:17:23,213 INFO] Epoch:7, Snapshot: 1; Loss: 0.6936
+[2024-06-10 02:17:25,124 INFO] Epoch:7, Snapshot: 2; Loss: 0.6929
+[2024-06-10 02:17:27,424 INFO] Epoch:7, Snapshot: 3; Loss: 0.6927
+[2024-06-10 02:17:29,805 INFO] Epoch:7, Snapshot: 4; Loss: 0.6926
+[2024-06-10 02:17:31,863 INFO] Epoch:7, Snapshot: 5; Loss: 0.6935
+[2024-06-10 02:17:34,274 INFO] Epoch:7, Snapshot: 6; Loss: 0.6935
+[2024-06-10 02:17:37,112 INFO] Epoch:7, Snapshot: 7; Loss: 0.6942
+[2024-06-10 02:17:39,458 INFO] Epoch:7, Snapshot: 8; Loss: 0.6938
+[2024-06-10 02:17:41,910 INFO] Epoch:7, Snapshot: 9; Loss: 0.6936
+[2024-06-10 02:17:44,204 INFO] Epoch:7, Snapshot: 10; Loss: 0.6931
+[2024-06-10 02:17:46,481 INFO] Epoch:7, Snapshot: 11; Loss: 0.6932
+[2024-06-10 02:17:48,946 INFO] Epoch:7, Snapshot: 12; Loss: 0.6928
+[2024-06-10 02:17:51,704 INFO] Epoch:7, Snapshot: 13; Loss: 0.6926
+[2024-06-10 02:17:54,226 INFO] Epoch:7, Snapshot: 14; Loss: 0.6924
+[2024-06-10 02:17:56,976 INFO] Epoch:7, Snapshot: 15; Loss: 0.6927
+[2024-06-10 02:17:59,829 INFO] Epoch:7, Snapshot: 16; Loss: 0.6932
+[2024-06-10 02:18:02,181 INFO] Epoch:7, Snapshot: 17; Loss: 0.6928
+[2024-06-10 02:18:04,945 INFO] Epoch:7, Snapshot: 18; Loss: 0.6927
+[2024-06-10 02:18:42,251 INFO] ==========================================================================================
+[2024-06-10 02:18:42,251 INFO] Epoch:7, Loss: 0.6940, Time: 82.922, GPU: 417.9MiB
+[2024-06-10 02:18:42,251 INFO] Epoch:7, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 980.7807
+[2024-06-10 02:18:44,556 INFO] Epoch:8, Snapshot: 0; Loss: 0.7090
+[2024-06-10 02:18:46,612 INFO] Epoch:8, Snapshot: 1; Loss: 0.6943
+[2024-06-10 02:18:48,567 INFO] Epoch:8, Snapshot: 2; Loss: 0.6943
+[2024-06-10 02:18:50,737 INFO] Epoch:8, Snapshot: 3; Loss: 0.6935
+[2024-06-10 02:18:52,954 INFO] Epoch:8, Snapshot: 4; Loss: 0.6925
+[2024-06-10 02:18:55,068 INFO] Epoch:8, Snapshot: 5; Loss: 0.6940
+[2024-06-10 02:18:56,979 INFO] Epoch:8, Snapshot: 6; Loss: 0.6948
+[2024-06-10 02:18:59,132 INFO] Epoch:8, Snapshot: 7; Loss: 0.6943
+[2024-06-10 02:19:01,285 INFO] Epoch:8, Snapshot: 8; Loss: 0.6938
+[2024-06-10 02:19:03,397 INFO] Epoch:8, Snapshot: 9; Loss: 0.6936
+[2024-06-10 02:19:06,088 INFO] Epoch:8, Snapshot: 10; Loss: 0.6931
+[2024-06-10 02:19:08,588 INFO] Epoch:8, Snapshot: 11; Loss: 0.6932
+[2024-06-10 02:19:10,396 INFO] Epoch:8, Snapshot: 12; Loss: 0.6929
+[2024-06-10 02:19:12,381 INFO] Epoch:8, Snapshot: 13; Loss: 0.6927
+[2024-06-10 02:19:14,313 INFO] Epoch:8, Snapshot: 14; Loss: 0.6929
+[2024-06-10 02:19:16,085 INFO] Epoch:8, Snapshot: 15; Loss: 0.6928
+[2024-06-10 02:19:17,646 INFO] Epoch:8, Snapshot: 16; Loss: 0.6938
+[2024-06-10 02:19:19,919 INFO] Epoch:8, Snapshot: 17; Loss: 0.6930
+[2024-06-10 02:19:22,797 INFO] Epoch:8, Snapshot: 18; Loss: 0.6928
+[2024-06-10 02:19:58,051 INFO] ==========================================================================================
+[2024-06-10 02:19:58,051 INFO] Epoch:8, Loss: 0.6943, Time: 75.800, GPU: 417.9MiB
+[2024-06-10 02:19:58,051 INFO] Epoch:8, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 871.9420
+[2024-06-10 02:20:00,376 INFO] Epoch:9, Snapshot: 0; Loss: 0.7088
+[2024-06-10 02:20:02,738 INFO] Epoch:9, Snapshot: 1; Loss: 0.6936
+[2024-06-10 02:20:05,678 INFO] Epoch:9, Snapshot: 2; Loss: 0.6931
+[2024-06-10 02:20:07,760 INFO] Epoch:9, Snapshot: 3; Loss: 0.6928
+[2024-06-10 02:20:10,473 INFO] Epoch:9, Snapshot: 4; Loss: 0.6926
+[2024-06-10 02:20:13,375 INFO] Epoch:9, Snapshot: 5; Loss: 0.6946
+[2024-06-10 02:20:16,657 INFO] Epoch:9, Snapshot: 6; Loss: 0.6948
+[2024-06-10 02:20:19,456 INFO] Epoch:9, Snapshot: 7; Loss: 0.6937
+[2024-06-10 02:20:22,513 INFO] Epoch:9, Snapshot: 8; Loss: 0.6943
+[2024-06-10 02:20:25,402 INFO] Epoch:9, Snapshot: 9; Loss: 0.6936
+[2024-06-10 02:20:28,425 INFO] Epoch:9, Snapshot: 10; Loss: 0.6936
+[2024-06-10 02:20:31,691 INFO] Epoch:9, Snapshot: 11; Loss: 0.6937
+[2024-06-10 02:20:34,661 INFO] Epoch:9, Snapshot: 12; Loss: 0.6933
+[2024-06-10 02:20:37,193 INFO] Epoch:9, Snapshot: 13; Loss: 0.6927
+[2024-06-10 02:20:39,772 INFO] Epoch:9, Snapshot: 14; Loss: 0.6927
+[2024-06-10 02:20:42,304 INFO] Epoch:9, Snapshot: 15; Loss: 0.6928
+[2024-06-10 02:20:44,680 INFO] Epoch:9, Snapshot: 16; Loss: 0.6932
+[2024-06-10 02:20:47,853 INFO] Epoch:9, Snapshot: 17; Loss: 0.6928
+[2024-06-10 02:20:50,872 INFO] Epoch:9, Snapshot: 18; Loss: 0.6927
+[2024-06-10 02:21:31,135 INFO] ==========================================================================================
+[2024-06-10 02:21:31,136 INFO] Epoch:9, Loss: 0.6942, Time: 93.084, GPU: 417.9MiB
+[2024-06-10 02:21:31,136 INFO] Epoch:9, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 1125.6692
+[2024-06-10 02:21:33,262 INFO] Epoch:10, Snapshot: 0; Loss: 0.7087
+[2024-06-10 02:21:35,837 INFO] Epoch:10, Snapshot: 1; Loss: 0.6939
+[2024-06-10 02:21:38,745 INFO] Epoch:10, Snapshot: 2; Loss: 0.6935
+[2024-06-10 02:21:41,709 INFO] Epoch:10, Snapshot: 3; Loss: 0.6928
+[2024-06-10 02:21:44,493 INFO] Epoch:10, Snapshot: 4; Loss: 0.6926
+[2024-06-10 02:21:46,693 INFO] Epoch:10, Snapshot: 5; Loss: 0.6933
+[2024-06-10 02:21:49,545 INFO] Epoch:10, Snapshot: 6; Loss: 0.6935
+[2024-06-10 02:21:52,557 INFO] Epoch:10, Snapshot: 7; Loss: 0.6937
+[2024-06-10 02:21:55,619 INFO] Epoch:10, Snapshot: 8; Loss: 0.6938
+[2024-06-10 02:21:58,654 INFO] Epoch:10, Snapshot: 9; Loss: 0.6937
+[2024-06-10 02:22:01,567 INFO] Epoch:10, Snapshot: 10; Loss: 0.6932
+[2024-06-10 02:22:04,465 INFO] Epoch:10, Snapshot: 11; Loss: 0.6938
+[2024-06-10 02:22:06,885 INFO] Epoch:10, Snapshot: 12; Loss: 0.6935
+[2024-06-10 02:22:09,853 INFO] Epoch:10, Snapshot: 13; Loss: 0.6927
+[2024-06-10 02:22:12,846 INFO] Epoch:10, Snapshot: 14; Loss: 0.6925
+[2024-06-10 02:22:15,623 INFO] Epoch:10, Snapshot: 15; Loss: 0.6928
+[2024-06-10 02:22:17,966 INFO] Epoch:10, Snapshot: 16; Loss: 0.6932
+[2024-06-10 02:22:20,711 INFO] Epoch:10, Snapshot: 17; Loss: 0.6934
+[2024-06-10 02:22:23,496 INFO] Epoch:10, Snapshot: 18; Loss: 0.6934
+[2024-06-10 02:23:02,546 INFO] ==========================================================================================
+[2024-06-10 02:23:02,547 INFO] Epoch:10, Loss: 0.6941, Time: 91.411, GPU: 417.9MiB
+[2024-06-10 02:23:02,547 INFO] Epoch:10, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 1073.2654
+[2024-06-10 02:23:04,767 INFO] Epoch:11, Snapshot: 0; Loss: 0.7090
+[2024-06-10 02:23:06,713 INFO] Epoch:11, Snapshot: 1; Loss: 0.6947
+[2024-06-10 02:23:09,352 INFO] Epoch:11, Snapshot: 2; Loss: 0.6936
+[2024-06-10 02:23:12,002 INFO] Epoch:11, Snapshot: 3; Loss: 0.6928
+[2024-06-10 02:23:14,951 INFO] Epoch:11, Snapshot: 4; Loss: 0.6931
+[2024-06-10 02:23:17,897 INFO] Epoch:11, Snapshot: 5; Loss: 0.6937
+[2024-06-10 02:23:20,927 INFO] Epoch:11, Snapshot: 6; Loss: 0.6939
+[2024-06-10 02:23:23,440 INFO] Epoch:11, Snapshot: 7; Loss: 0.6941
+[2024-06-10 02:23:25,654 INFO] Epoch:11, Snapshot: 8; Loss: 0.6942
+[2024-06-10 02:23:28,785 INFO] Epoch:11, Snapshot: 9; Loss: 0.6939
+[2024-06-10 02:23:31,770 INFO] Epoch:11, Snapshot: 10; Loss: 0.6931
+[2024-06-10 02:23:34,404 INFO] Epoch:11, Snapshot: 11; Loss: 0.6933
+[2024-06-10 02:23:36,585 INFO] Epoch:11, Snapshot: 12; Loss: 0.6932
+[2024-06-10 02:23:38,597 INFO] Epoch:11, Snapshot: 13; Loss: 0.6929
+[2024-06-10 02:23:40,460 INFO] Epoch:11, Snapshot: 14; Loss: 0.6926
+[2024-06-10 02:23:42,420 INFO] Epoch:11, Snapshot: 15; Loss: 0.6928
+[2024-06-10 02:23:44,128 INFO] Epoch:11, Snapshot: 16; Loss: 0.6933
+[2024-06-10 02:23:46,552 INFO] Epoch:11, Snapshot: 17; Loss: 0.6929
+[2024-06-10 02:23:48,927 INFO] Epoch:11, Snapshot: 18; Loss: 0.6929
+[2024-06-10 02:24:25,472 INFO] ==========================================================================================
+[2024-06-10 02:24:25,472 INFO] Epoch:11, Loss: 0.6942, Time: 82.926, GPU: 417.9MiB
+[2024-06-10 02:24:25,472 INFO] Epoch:11, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 959.1230
+[2024-06-10 02:24:27,551 INFO] Epoch:12, Snapshot: 0; Loss: 0.7087
+[2024-06-10 02:24:30,084 INFO] Epoch:12, Snapshot: 1; Loss: 0.6937
+[2024-06-10 02:24:32,680 INFO] Epoch:12, Snapshot: 2; Loss: 0.6932
+[2024-06-10 02:24:35,417 INFO] Epoch:12, Snapshot: 3; Loss: 0.6929
+[2024-06-10 02:24:37,668 INFO] Epoch:12, Snapshot: 4; Loss: 0.6927
+[2024-06-10 02:24:40,591 INFO] Epoch:12, Snapshot: 5; Loss: 0.6934
+[2024-06-10 02:24:43,467 INFO] Epoch:12, Snapshot: 6; Loss: 0.6935
+[2024-06-10 02:24:46,423 INFO] Epoch:12, Snapshot: 7; Loss: 0.6939
+[2024-06-10 02:24:49,676 INFO] Epoch:12, Snapshot: 8; Loss: 0.6938
+[2024-06-10 02:24:52,647 INFO] Epoch:12, Snapshot: 9; Loss: 0.6936
+[2024-06-10 02:24:55,446 INFO] Epoch:12, Snapshot: 10; Loss: 0.6931
+[2024-06-10 02:24:58,244 INFO] Epoch:12, Snapshot: 11; Loss: 0.6935
+[2024-06-10 02:25:00,322 INFO] Epoch:12, Snapshot: 12; Loss: 0.6932
+[2024-06-10 02:25:03,183 INFO] Epoch:12, Snapshot: 13; Loss: 0.6927
+[2024-06-10 02:25:05,983 INFO] Epoch:12, Snapshot: 14; Loss: 0.6929
+[2024-06-10 02:25:08,876 INFO] Epoch:12, Snapshot: 15; Loss: 0.6928
+[2024-06-10 02:25:11,550 INFO] Epoch:12, Snapshot: 16; Loss: 0.6937
+[2024-06-10 02:25:13,927 INFO] Epoch:12, Snapshot: 17; Loss: 0.6928
+[2024-06-10 02:25:16,491 INFO] Epoch:12, Snapshot: 18; Loss: 0.6928
+[2024-06-10 02:25:51,945 INFO] ==========================================================================================
+[2024-06-10 02:25:51,945 INFO] Epoch:12, Loss: 0.6940, Time: 86.472, GPU: 417.9MiB
+[2024-06-10 02:25:51,945 INFO] Epoch:12, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 892.4179
+[2024-06-10 02:25:54,101 INFO] Epoch:13, Snapshot: 0; Loss: 0.7086
+[2024-06-10 02:25:56,615 INFO] Epoch:13, Snapshot: 1; Loss: 0.6937
+[2024-06-10 02:25:59,592 INFO] Epoch:13, Snapshot: 2; Loss: 0.6933
+[2024-06-10 02:26:02,344 INFO] Epoch:13, Snapshot: 3; Loss: 0.6930
+[2024-06-10 02:26:05,273 INFO] Epoch:13, Snapshot: 4; Loss: 0.6929
+[2024-06-10 02:26:08,362 INFO] Epoch:13, Snapshot: 5; Loss: 0.6939
+[2024-06-10 02:26:11,466 INFO] Epoch:13, Snapshot: 6; Loss: 0.6935
+[2024-06-10 02:26:14,367 INFO] Epoch:13, Snapshot: 7; Loss: 0.6940
+[2024-06-10 02:26:16,939 INFO] Epoch:13, Snapshot: 8; Loss: 0.6938
+[2024-06-10 02:26:19,575 INFO] Epoch:13, Snapshot: 9; Loss: 0.6939
+[2024-06-10 02:26:21,649 INFO] Epoch:13, Snapshot: 10; Loss: 0.6933
+[2024-06-10 02:26:23,590 INFO] Epoch:13, Snapshot: 11; Loss: 0.6934
+[2024-06-10 02:26:25,571 INFO] Epoch:13, Snapshot: 12; Loss: 0.6931
+[2024-06-10 02:26:27,496 INFO] Epoch:13, Snapshot: 13; Loss: 0.6929
+[2024-06-10 02:26:29,495 INFO] Epoch:13, Snapshot: 14; Loss: 0.6926
+[2024-06-10 02:26:31,272 INFO] Epoch:13, Snapshot: 15; Loss: 0.6930
+[2024-06-10 02:26:32,962 INFO] Epoch:13, Snapshot: 16; Loss: 0.6934
+[2024-06-10 02:26:34,962 INFO] Epoch:13, Snapshot: 17; Loss: 0.6929
+[2024-06-10 02:26:36,813 INFO] Epoch:13, Snapshot: 18; Loss: 0.6928
+[2024-06-10 02:27:12,427 INFO] ==========================================================================================
+[2024-06-10 02:27:12,427 INFO] Epoch:13, Loss: 0.6941, Time: 80.482, GPU: 417.9MiB
+[2024-06-10 02:27:12,427 INFO] Epoch:13, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 918.5460
+[2024-06-10 02:27:14,539 INFO] Epoch:14, Snapshot: 0; Loss: 0.7086
+[2024-06-10 02:27:16,548 INFO] Epoch:14, Snapshot: 1; Loss: 0.6935
+[2024-06-10 02:27:19,338 INFO] Epoch:14, Snapshot: 2; Loss: 0.6929
+[2024-06-10 02:27:21,901 INFO] Epoch:14, Snapshot: 3; Loss: 0.6927
+[2024-06-10 02:27:24,824 INFO] Epoch:14, Snapshot: 4; Loss: 0.6926
+[2024-06-10 02:27:27,919 INFO] Epoch:14, Snapshot: 5; Loss: 0.6933
+[2024-06-10 02:27:30,529 INFO] Epoch:14, Snapshot: 6; Loss: 0.6937
+[2024-06-10 02:27:32,905 INFO] Epoch:14, Snapshot: 7; Loss: 0.6939
+[2024-06-10 02:27:35,657 INFO] Epoch:14, Snapshot: 8; Loss: 0.6938
+[2024-06-10 02:27:38,502 INFO] Epoch:14, Snapshot: 9; Loss: 0.6937
+[2024-06-10 02:27:40,990 INFO] Epoch:14, Snapshot: 10; Loss: 0.6932
+[2024-06-10 02:27:43,897 INFO] Epoch:14, Snapshot: 11; Loss: 0.6932
+[2024-06-10 02:27:46,895 INFO] Epoch:14, Snapshot: 12; Loss: 0.6929
+[2024-06-10 02:27:49,037 INFO] Epoch:14, Snapshot: 13; Loss: 0.6928
+[2024-06-10 02:27:51,491 INFO] Epoch:14, Snapshot: 14; Loss: 0.6927
+[2024-06-10 02:27:53,930 INFO] Epoch:14, Snapshot: 15; Loss: 0.6928
+[2024-06-10 02:27:56,619 INFO] Epoch:14, Snapshot: 16; Loss: 0.6932
+[2024-06-10 02:27:59,467 INFO] Epoch:14, Snapshot: 17; Loss: 0.6929
+[2024-06-10 02:28:01,978 INFO] Epoch:14, Snapshot: 18; Loss: 0.6928
+[2024-06-10 02:28:37,345 INFO] ==========================================================================================
+[2024-06-10 02:28:37,345 INFO] Epoch:14, Loss: 0.6940, Time: 84.918, GPU: 417.9MiB
+[2024-06-10 02:28:37,345 INFO] Epoch:14, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 898.6681
+[2024-06-10 02:28:39,541 INFO] Epoch:15, Snapshot: 0; Loss: 0.7086
+[2024-06-10 02:28:41,682 INFO] Epoch:15, Snapshot: 1; Loss: 0.6937
+[2024-06-10 02:28:43,607 INFO] Epoch:15, Snapshot: 2; Loss: 0.6931
+[2024-06-10 02:28:45,713 INFO] Epoch:15, Snapshot: 3; Loss: 0.6927
+[2024-06-10 02:28:47,970 INFO] Epoch:15, Snapshot: 4; Loss: 0.6926
+[2024-06-10 02:28:50,193 INFO] Epoch:15, Snapshot: 5; Loss: 0.6936
+[2024-06-10 02:28:52,349 INFO] Epoch:15, Snapshot: 6; Loss: 0.6935
+[2024-06-10 02:28:54,842 INFO] Epoch:15, Snapshot: 7; Loss: 0.6942
+[2024-06-10 02:28:57,566 INFO] Epoch:15, Snapshot: 8; Loss: 0.6938
+[2024-06-10 02:29:00,406 INFO] Epoch:15, Snapshot: 9; Loss: 0.6936
+[2024-06-10 02:29:03,439 INFO] Epoch:15, Snapshot: 10; Loss: 0.6931
+[2024-06-10 02:29:06,574 INFO] Epoch:15, Snapshot: 11; Loss: 0.6932
+[2024-06-10 02:29:09,329 INFO] Epoch:15, Snapshot: 12; Loss: 0.6929
+[2024-06-10 02:29:12,331 INFO] Epoch:15, Snapshot: 13; Loss: 0.6929
+[2024-06-10 02:29:15,425 INFO] Epoch:15, Snapshot: 14; Loss: 0.6937
+[2024-06-10 02:29:18,277 INFO] Epoch:15, Snapshot: 15; Loss: 0.6938
+[2024-06-10 02:29:21,253 INFO] Epoch:15, Snapshot: 16; Loss: 0.6933
+[2024-06-10 02:29:23,934 INFO] Epoch:15, Snapshot: 17; Loss: 0.6930
+[2024-06-10 02:29:26,740 INFO] Epoch:15, Snapshot: 18; Loss: 0.6928
+[2024-06-10 02:30:05,416 INFO] ==========================================================================================
+[2024-06-10 02:30:05,416 INFO] Epoch:15, Loss: 0.6941, Time: 88.071, GPU: 417.9MiB
+[2024-06-10 02:30:05,416 INFO] Epoch:15, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 1033.1552
+[2024-06-10 02:30:07,784 INFO] Epoch:16, Snapshot: 0; Loss: 0.7091
+[2024-06-10 02:30:10,684 INFO] Epoch:16, Snapshot: 1; Loss: 0.6940
+[2024-06-10 02:30:13,241 INFO] Epoch:16, Snapshot: 2; Loss: 0.6930
+[2024-06-10 02:30:15,761 INFO] Epoch:16, Snapshot: 3; Loss: 0.6927
+[2024-06-10 02:30:18,525 INFO] Epoch:16, Snapshot: 4; Loss: 0.6926
+[2024-06-10 02:30:20,611 INFO] Epoch:16, Snapshot: 5; Loss: 0.6933
+[2024-06-10 02:30:23,311 INFO] Epoch:16, Snapshot: 6; Loss: 0.6936
+[2024-06-10 02:30:26,344 INFO] Epoch:16, Snapshot: 7; Loss: 0.6938
+[2024-06-10 02:30:29,125 INFO] Epoch:16, Snapshot: 8; Loss: 0.6939
+[2024-06-10 02:30:32,090 INFO] Epoch:16, Snapshot: 9; Loss: 0.6939
+[2024-06-10 02:30:35,288 INFO] Epoch:16, Snapshot: 10; Loss: 0.6934
+[2024-06-10 02:30:38,549 INFO] Epoch:16, Snapshot: 11; Loss: 0.6933
+[2024-06-10 02:30:41,466 INFO] Epoch:16, Snapshot: 12; Loss: 0.6931
+[2024-06-10 02:30:44,241 INFO] Epoch:16, Snapshot: 13; Loss: 0.6934
+[2024-06-10 02:30:46,923 INFO] Epoch:16, Snapshot: 14; Loss: 0.6926
+[2024-06-10 02:30:49,546 INFO] Epoch:16, Snapshot: 15; Loss: 0.6928
+[2024-06-10 02:30:52,133 INFO] Epoch:16, Snapshot: 16; Loss: 0.6932
+[2024-06-10 02:30:54,447 INFO] Epoch:16, Snapshot: 17; Loss: 0.6929
+[2024-06-10 02:30:56,613 INFO] Epoch:16, Snapshot: 18; Loss: 0.6928
+[2024-06-10 02:31:33,635 INFO] ==========================================================================================
+[2024-06-10 02:31:33,635 INFO] Epoch:16, Loss: 0.6941, Time: 88.220, GPU: 417.9MiB
+[2024-06-10 02:31:33,635 INFO] Epoch:16, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 977.0982
+[2024-06-10 02:31:35,721 INFO] Epoch:17, Snapshot: 0; Loss: 0.7090
+[2024-06-10 02:31:37,884 INFO] Epoch:17, Snapshot: 1; Loss: 0.6937
+[2024-06-10 02:31:40,706 INFO] Epoch:17, Snapshot: 2; Loss: 0.6930
+[2024-06-10 02:31:42,951 INFO] Epoch:17, Snapshot: 3; Loss: 0.6927
+[2024-06-10 02:31:45,694 INFO] Epoch:17, Snapshot: 4; Loss: 0.6925
+[2024-06-10 02:31:48,264 INFO] Epoch:17, Snapshot: 5; Loss: 0.6933
+[2024-06-10 02:31:50,570 INFO] Epoch:17, Snapshot: 6; Loss: 0.6935
+[2024-06-10 02:31:53,361 INFO] Epoch:17, Snapshot: 7; Loss: 0.6938
+[2024-06-10 02:31:56,356 INFO] Epoch:17, Snapshot: 8; Loss: 0.6938
+[2024-06-10 02:31:59,461 INFO] Epoch:17, Snapshot: 9; Loss: 0.6936
+[2024-06-10 02:32:02,424 INFO] Epoch:17, Snapshot: 10; Loss: 0.6936
+[2024-06-10 02:32:05,089 INFO] Epoch:17, Snapshot: 11; Loss: 0.6938
+[2024-06-10 02:32:07,802 INFO] Epoch:17, Snapshot: 12; Loss: 0.6931
+[2024-06-10 02:32:10,374 INFO] Epoch:17, Snapshot: 13; Loss: 0.6931
+[2024-06-10 02:32:13,070 INFO] Epoch:17, Snapshot: 14; Loss: 0.6926
+[2024-06-10 02:32:15,815 INFO] Epoch:17, Snapshot: 15; Loss: 0.6930
+[2024-06-10 02:32:18,481 INFO] Epoch:17, Snapshot: 16; Loss: 0.6933
+[2024-06-10 02:32:21,226 INFO] Epoch:17, Snapshot: 17; Loss: 0.6930
+[2024-06-10 02:32:23,969 INFO] Epoch:17, Snapshot: 18; Loss: 0.6928
+[2024-06-10 02:33:01,649 INFO] ==========================================================================================
+[2024-06-10 02:33:01,649 INFO] Epoch:17, Loss: 0.6941, Time: 88.013, GPU: 417.9MiB
+[2024-06-10 02:33:01,649 INFO] Epoch:17, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 1001.4826
+[2024-06-10 02:33:03,938 INFO] Epoch:18, Snapshot: 0; Loss: 0.7086
+[2024-06-10 02:33:06,635 INFO] Epoch:18, Snapshot: 1; Loss: 0.6935
+[2024-06-10 02:33:09,428 INFO] Epoch:18, Snapshot: 2; Loss: 0.6929
+[2024-06-10 02:33:11,904 INFO] Epoch:18, Snapshot: 3; Loss: 0.6927
+[2024-06-10 02:33:14,382 INFO] Epoch:18, Snapshot: 4; Loss: 0.6926
+[2024-06-10 02:33:17,047 INFO] Epoch:18, Snapshot: 5; Loss: 0.6935
+[2024-06-10 02:33:20,200 INFO] Epoch:18, Snapshot: 6; Loss: 0.6935
+[2024-06-10 02:33:23,570 INFO] Epoch:18, Snapshot: 7; Loss: 0.6940
+[2024-06-10 02:33:26,659 INFO] Epoch:18, Snapshot: 8; Loss: 0.6939
+[2024-06-10 02:33:29,670 INFO] Epoch:18, Snapshot: 9; Loss: 0.6937
+[2024-06-10 02:33:32,242 INFO] Epoch:18, Snapshot: 10; Loss: 0.6932
+[2024-06-10 02:33:35,143 INFO] Epoch:18, Snapshot: 11; Loss: 0.6932
+[2024-06-10 02:33:37,542 INFO] Epoch:18, Snapshot: 12; Loss: 0.6929
+[2024-06-10 02:33:40,349 INFO] Epoch:18, Snapshot: 13; Loss: 0.6927
+[2024-06-10 02:33:42,890 INFO] Epoch:18, Snapshot: 14; Loss: 0.6930
+[2024-06-10 02:33:45,210 INFO] Epoch:18, Snapshot: 15; Loss: 0.6933
+[2024-06-10 02:33:47,530 INFO] Epoch:18, Snapshot: 16; Loss: 0.6932
+[2024-06-10 02:33:49,883 INFO] Epoch:18, Snapshot: 17; Loss: 0.6929
+[2024-06-10 02:33:52,201 INFO] Epoch:18, Snapshot: 18; Loss: 0.6928
+[2024-06-10 02:34:29,978 INFO] ==========================================================================================
+[2024-06-10 02:34:29,978 INFO] Epoch:18, Loss: 0.6940, Time: 88.329, GPU: 417.9MiB
+[2024-06-10 02:34:29,978 INFO] Epoch:18, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 1007.2029
+[2024-06-10 02:34:32,110 INFO] Epoch:19, Snapshot: 0; Loss: 0.7086
+[2024-06-10 02:34:34,165 INFO] Epoch:19, Snapshot: 1; Loss: 0.6935
+[2024-06-10 02:34:36,170 INFO] Epoch:19, Snapshot: 2; Loss: 0.6929
+[2024-06-10 02:34:38,450 INFO] Epoch:19, Snapshot: 3; Loss: 0.6927
+[2024-06-10 02:34:41,199 INFO] Epoch:19, Snapshot: 4; Loss: 0.6925
+[2024-06-10 02:34:43,399 INFO] Epoch:19, Snapshot: 5; Loss: 0.6936
+[2024-06-10 02:34:45,940 INFO] Epoch:19, Snapshot: 6; Loss: 0.6939
+[2024-06-10 02:34:48,323 INFO] Epoch:19, Snapshot: 7; Loss: 0.6938
+[2024-06-10 02:34:50,771 INFO] Epoch:19, Snapshot: 8; Loss: 0.6940
+[2024-06-10 02:34:53,420 INFO] Epoch:19, Snapshot: 9; Loss: 0.6939
+[2024-06-10 02:34:56,133 INFO] Epoch:19, Snapshot: 10; Loss: 0.6931
+[2024-06-10 02:34:58,813 INFO] Epoch:19, Snapshot: 11; Loss: 0.6932
+[2024-06-10 02:35:01,557 INFO] Epoch:19, Snapshot: 12; Loss: 0.6931
+[2024-06-10 02:35:03,798 INFO] Epoch:19, Snapshot: 13; Loss: 0.6929
+[2024-06-10 02:35:06,169 INFO] Epoch:19, Snapshot: 14; Loss: 0.6926
+[2024-06-10 02:35:08,145 INFO] Epoch:19, Snapshot: 15; Loss: 0.6929
+[2024-06-10 02:35:10,135 INFO] Epoch:19, Snapshot: 16; Loss: 0.6933
+[2024-06-10 02:35:12,441 INFO] Epoch:19, Snapshot: 17; Loss: 0.6929
+[2024-06-10 02:35:15,168 INFO] Epoch:19, Snapshot: 18; Loss: 0.6928
+[2024-06-10 02:35:53,632 INFO] ==========================================================================================
+[2024-06-10 02:35:53,632 INFO] Epoch:19, Loss: 0.6940, Time: 83.654, GPU: 417.9MiB
+[2024-06-10 02:35:53,632 INFO] Epoch:19, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 1039.3424
+[2024-06-10 02:35:55,717 INFO] Epoch:20, Snapshot: 0; Loss: 0.7086
+[2024-06-10 02:35:58,685 INFO] Epoch:20, Snapshot: 1; Loss: 0.6938
+[2024-06-10 02:36:01,724 INFO] Epoch:20, Snapshot: 2; Loss: 0.6932
+[2024-06-10 02:36:04,781 INFO] Epoch:20, Snapshot: 3; Loss: 0.6927
+[2024-06-10 02:36:07,365 INFO] Epoch:20, Snapshot: 4; Loss: 0.6925
+[2024-06-10 02:36:10,239 INFO] Epoch:20, Snapshot: 5; Loss: 0.6933
+[2024-06-10 02:36:13,044 INFO] Epoch:20, Snapshot: 6; Loss: 0.6935
+[2024-06-10 02:36:16,009 INFO] Epoch:20, Snapshot: 7; Loss: 0.6943
+[2024-06-10 02:36:19,255 INFO] Epoch:20, Snapshot: 8; Loss: 0.6944
+[2024-06-10 02:36:22,280 INFO] Epoch:20, Snapshot: 9; Loss: 0.6937
+[2024-06-10 02:36:24,539 INFO] Epoch:20, Snapshot: 10; Loss: 0.6931
+[2024-06-10 02:36:27,174 INFO] Epoch:20, Snapshot: 11; Loss: 0.6932
+[2024-06-10 02:36:29,369 INFO] Epoch:20, Snapshot: 12; Loss: 0.6930
+[2024-06-10 02:36:31,956 INFO] Epoch:20, Snapshot: 13; Loss: 0.6929
+[2024-06-10 02:36:34,543 INFO] Epoch:20, Snapshot: 14; Loss: 0.6927
+[2024-06-10 02:36:37,224 INFO] Epoch:20, Snapshot: 15; Loss: 0.6929
+[2024-06-10 02:36:39,804 INFO] Epoch:20, Snapshot: 16; Loss: 0.6932
+[2024-06-10 02:36:42,340 INFO] Epoch:20, Snapshot: 17; Loss: 0.6929
+[2024-06-10 02:36:44,735 INFO] Epoch:20, Snapshot: 18; Loss: 0.6928
+[2024-06-10 02:37:22,243 INFO] ==========================================================================================
+[2024-06-10 02:37:22,243 INFO] Epoch:20, Loss: 0.6940, Time: 88.611, GPU: 417.9MiB
+[2024-06-10 02:37:22,243 INFO] Epoch:20, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 417.9077, time: 996.5203
+[2024-06-10 02:37:22,243 INFO] ==========================================================================================
+[2024-06-10 02:37:22,243 INFO] Total time: 1710.045
+[2024-06-10 02:55:56,492 INFO] fixed random seed
+[2024-06-10 02:55:58,367 INFO] Epoch:1, Snapshot: 0; Loss: 0.8248
+[2024-06-10 02:55:59,946 INFO] Epoch:1, Snapshot: 1; Loss: 0.7761
+[2024-06-10 02:56:01,619 INFO] Epoch:1, Snapshot: 2; Loss: 0.7643
+[2024-06-10 02:56:03,323 INFO] Epoch:1, Snapshot: 3; Loss: 0.7378
+[2024-06-10 02:56:05,277 INFO] Epoch:1, Snapshot: 4; Loss: 0.7299
+[2024-06-10 02:56:07,138 INFO] Epoch:1, Snapshot: 5; Loss: 0.7400
+[2024-06-10 02:56:08,996 INFO] Epoch:1, Snapshot: 6; Loss: 0.7390
+[2024-06-10 02:56:10,825 INFO] Epoch:1, Snapshot: 7; Loss: 0.7386
+[2024-06-10 02:56:12,794 INFO] Epoch:1, Snapshot: 8; Loss: 0.7364
+[2024-06-10 02:56:14,747 INFO] Epoch:1, Snapshot: 9; Loss: 0.7331
+[2024-06-10 02:56:16,638 INFO] Epoch:1, Snapshot: 10; Loss: 0.7227
+[2024-06-10 02:56:18,544 INFO] Epoch:1, Snapshot: 11; Loss: 0.7210
+[2024-06-10 02:56:20,264 INFO] Epoch:1, Snapshot: 12; Loss: 0.7127
+[2024-06-10 02:56:22,028 INFO] Epoch:1, Snapshot: 13; Loss: 0.7071
+[2024-06-10 02:56:23,763 INFO] Epoch:1, Snapshot: 14; Loss: 0.7023
+[2024-06-10 02:56:25,327 INFO] Epoch:1, Snapshot: 15; Loss: 0.7058
+[2024-06-10 02:56:26,953 INFO] Epoch:1, Snapshot: 16; Loss: 0.7123
+[2024-06-10 02:56:28,703 INFO] Epoch:1, Snapshot: 17; Loss: 0.7076
+[2024-06-10 02:56:30,454 INFO] Epoch:1, Snapshot: 18; Loss: 0.7032
+[2024-06-10 02:56:59,616 INFO] ==========================================================================================
+[2024-06-10 02:56:59,616 INFO] Epoch:1, Loss: 0.7323, Time: 63.123, GPU: 1217.0MiB
+[2024-06-10 02:56:59,616 INFO] Epoch:1, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1825.4014, time: 588.4354
+[2024-06-10 02:57:01,382 INFO] Epoch:2, Snapshot: 0; Loss: 0.7220
+[2024-06-10 02:57:02,854 INFO] Epoch:2, Snapshot: 1; Loss: 0.7075
+[2024-06-10 02:57:04,617 INFO] Epoch:2, Snapshot: 2; Loss: 0.7009
+[2024-06-10 02:57:06,358 INFO] Epoch:2, Snapshot: 3; Loss: 0.6984
+[2024-06-10 02:57:08,212 INFO] Epoch:2, Snapshot: 4; Loss: 0.6993
+[2024-06-10 02:57:10,149 INFO] Epoch:2, Snapshot: 5; Loss: 0.7026
+[2024-06-10 02:57:12,086 INFO] Epoch:2, Snapshot: 6; Loss: 0.7027
+[2024-06-10 02:57:13,962 INFO] Epoch:2, Snapshot: 7; Loss: 0.7023
+[2024-06-10 02:57:15,840 INFO] Epoch:2, Snapshot: 8; Loss: 0.7005
+[2024-06-10 02:57:17,792 INFO] Epoch:2, Snapshot: 9; Loss: 0.6992
+[2024-06-10 02:57:19,652 INFO] Epoch:2, Snapshot: 10; Loss: 0.6960
+[2024-06-10 02:57:21,560 INFO] Epoch:2, Snapshot: 11; Loss: 0.6960
+[2024-06-10 02:57:23,295 INFO] Epoch:2, Snapshot: 12; Loss: 0.6946
+[2024-06-10 02:57:25,108 INFO] Epoch:2, Snapshot: 13; Loss: 0.6932
+[2024-06-10 02:57:26,826 INFO] Epoch:2, Snapshot: 14; Loss: 0.7018
+[2024-06-10 02:57:28,437 INFO] Epoch:2, Snapshot: 15; Loss: 0.7083
+[2024-06-10 02:57:30,031 INFO] Epoch:2, Snapshot: 16; Loss: 0.6951
+[2024-06-10 02:57:31,792 INFO] Epoch:2, Snapshot: 17; Loss: 0.6933
+[2024-06-10 02:57:33,485 INFO] Epoch:2, Snapshot: 18; Loss: 0.6929
+[2024-06-10 02:58:02,776 INFO] ==========================================================================================
+[2024-06-10 02:58:02,776 INFO] Epoch:2, Loss: 0.7003, Time: 63.160, GPU: 1885.5MiB
+[2024-06-10 02:58:02,776 INFO] Epoch:2, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1885.4851, time: 590.6096
+[2024-06-10 02:58:04,605 INFO] Epoch:3, Snapshot: 0; Loss: 0.7126
+[2024-06-10 02:58:06,184 INFO] Epoch:3, Snapshot: 1; Loss: 0.6944
+[2024-06-10 02:58:07,934 INFO] Epoch:3, Snapshot: 2; Loss: 0.6929
+[2024-06-10 02:58:09,684 INFO] Epoch:3, Snapshot: 3; Loss: 0.6929
+[2024-06-10 02:58:11,591 INFO] Epoch:3, Snapshot: 4; Loss: 0.6934
+[2024-06-10 02:58:13,467 INFO] Epoch:3, Snapshot: 5; Loss: 0.6935
+[2024-06-10 02:58:15,326 INFO] Epoch:3, Snapshot: 6; Loss: 0.6937
+[2024-06-10 02:58:17,232 INFO] Epoch:3, Snapshot: 7; Loss: 0.6938
+[2024-06-10 02:58:19,107 INFO] Epoch:3, Snapshot: 8; Loss: 0.6936
+[2024-06-10 02:58:21,014 INFO] Epoch:3, Snapshot: 9; Loss: 0.6935
+[2024-06-10 02:58:22,889 INFO] Epoch:3, Snapshot: 10; Loss: 0.6931
+[2024-06-10 02:58:24,812 INFO] Epoch:3, Snapshot: 11; Loss: 0.6932
+[2024-06-10 02:58:26,531 INFO] Epoch:3, Snapshot: 12; Loss: 0.6935
+[2024-06-10 02:58:28,250 INFO] Epoch:3, Snapshot: 13; Loss: 0.6935
+[2024-06-10 02:58:30,047 INFO] Epoch:3, Snapshot: 14; Loss: 0.6942
+[2024-06-10 02:58:31,672 INFO] Epoch:3, Snapshot: 15; Loss: 0.6938
+[2024-06-10 02:58:33,188 INFO] Epoch:3, Snapshot: 16; Loss: 0.6937
+[2024-06-10 02:58:34,985 INFO] Epoch:3, Snapshot: 17; Loss: 0.6961
+[2024-06-10 02:58:36,705 INFO] Epoch:3, Snapshot: 18; Loss: 0.6932
+[2024-06-10 02:59:05,508 INFO] ==========================================================================================
+[2024-06-10 02:59:05,508 INFO] Epoch:3, Loss: 0.6947, Time: 62.732, GPU: 1885.5MiB
+[2024-06-10 02:59:05,508 INFO] Epoch:3, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1885.6750, time: 569.6402
+[2024-06-10 02:59:07,215 INFO] Epoch:4, Snapshot: 0; Loss: 0.7164
+[2024-06-10 02:59:08,732 INFO] Epoch:4, Snapshot: 1; Loss: 0.6957
+[2024-06-10 02:59:10,492 INFO] Epoch:4, Snapshot: 2; Loss: 0.6936
+[2024-06-10 02:59:12,842 INFO] Epoch:4, Snapshot: 3; Loss: 0.6933
+[2024-06-10 02:59:15,325 INFO] Epoch:4, Snapshot: 4; Loss: 0.6930
+[2024-06-10 02:59:17,658 INFO] Epoch:4, Snapshot: 5; Loss: 0.6931
+[2024-06-10 02:59:19,907 INFO] Epoch:4, Snapshot: 6; Loss: 0.6934
+[2024-06-10 02:59:22,536 INFO] Epoch:4, Snapshot: 7; Loss: 0.6934
+[2024-06-10 02:59:25,444 INFO] Epoch:4, Snapshot: 8; Loss: 0.6932
+[2024-06-10 02:59:27,973 INFO] Epoch:4, Snapshot: 9; Loss: 0.6932
+[2024-06-10 02:59:30,377 INFO] Epoch:4, Snapshot: 10; Loss: 0.6934
+[2024-06-10 02:59:32,925 INFO] Epoch:4, Snapshot: 11; Loss: 0.6933
+[2024-06-10 02:59:34,942 INFO] Epoch:4, Snapshot: 12; Loss: 0.6931
+[2024-06-10 02:59:36,999 INFO] Epoch:4, Snapshot: 13; Loss: 0.6934
+[2024-06-10 02:59:38,982 INFO] Epoch:4, Snapshot: 14; Loss: 0.6934
+[2024-06-10 02:59:41,391 INFO] Epoch:4, Snapshot: 15; Loss: 0.6937
+[2024-06-10 02:59:43,658 INFO] Epoch:4, Snapshot: 16; Loss: 0.6943
+[2024-06-10 02:59:45,796 INFO] Epoch:4, Snapshot: 17; Loss: 0.6938
+[2024-06-10 02:59:47,848 INFO] Epoch:4, Snapshot: 18; Loss: 0.6934
+[2024-06-10 03:00:21,686 INFO] ==========================================================================================
+[2024-06-10 03:00:21,702 INFO] Epoch:4, Loss: 0.6947, Time: 76.194, GPU: 1886.4MiB
+[2024-06-10 03:00:21,702 INFO] Epoch:4, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 815.5303
+[2024-06-10 03:00:24,141 INFO] Epoch:5, Snapshot: 0; Loss: 0.7109
+[2024-06-10 03:00:26,862 INFO] Epoch:5, Snapshot: 1; Loss: 0.6933
+[2024-06-10 03:00:29,129 INFO] Epoch:5, Snapshot: 2; Loss: 0.6932
+[2024-06-10 03:00:32,255 INFO] Epoch:5, Snapshot: 3; Loss: 0.6927
+[2024-06-10 03:00:35,164 INFO] Epoch:5, Snapshot: 4; Loss: 0.6927
+[2024-06-10 03:00:37,399 INFO] Epoch:5, Snapshot: 5; Loss: 0.6932
+[2024-06-10 03:00:39,837 INFO] Epoch:5, Snapshot: 6; Loss: 0.6935
+[2024-06-10 03:00:42,973 INFO] Epoch:5, Snapshot: 7; Loss: 0.6939
+[2024-06-10 03:00:45,881 INFO] Epoch:5, Snapshot: 8; Loss: 0.6944
+[2024-06-10 03:00:48,320 INFO] Epoch:5, Snapshot: 9; Loss: 0.6941
+[2024-06-10 03:00:50,776 INFO] Epoch:5, Snapshot: 10; Loss: 0.6935
+[2024-06-10 03:00:53,089 INFO] Epoch:5, Snapshot: 11; Loss: 0.6932
+[2024-06-10 03:00:55,185 INFO] Epoch:5, Snapshot: 12; Loss: 0.6929
+[2024-06-10 03:00:57,812 INFO] Epoch:5, Snapshot: 13; Loss: 0.6926
+[2024-06-10 03:01:00,142 INFO] Epoch:5, Snapshot: 14; Loss: 0.6925
+[2024-06-10 03:01:02,580 INFO] Epoch:5, Snapshot: 15; Loss: 0.6928
+[2024-06-10 03:01:04,534 INFO] Epoch:5, Snapshot: 16; Loss: 0.6932
+[2024-06-10 03:01:06,598 INFO] Epoch:5, Snapshot: 17; Loss: 0.6928
+[2024-06-10 03:01:09,441 INFO] Epoch:5, Snapshot: 18; Loss: 0.6927
+[2024-06-10 03:01:46,554 INFO] ==========================================================================================
+[2024-06-10 03:01:46,554 INFO] Epoch:5, Loss: 0.6941, Time: 84.852, GPU: 1886.4MiB
+[2024-06-10 03:01:46,554 INFO] Epoch:5, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 966.9820
+[2024-06-10 03:01:48,598 INFO] Epoch:6, Snapshot: 0; Loss: 0.7099
+[2024-06-10 03:01:51,282 INFO] Epoch:6, Snapshot: 1; Loss: 0.6937
+[2024-06-10 03:01:53,830 INFO] Epoch:6, Snapshot: 2; Loss: 0.6934
+[2024-06-10 03:01:56,394 INFO] Epoch:6, Snapshot: 3; Loss: 0.6936
+[2024-06-10 03:01:59,442 INFO] Epoch:6, Snapshot: 4; Loss: 0.6932
+[2024-06-10 03:02:02,257 INFO] Epoch:6, Snapshot: 5; Loss: 0.6940
+[2024-06-10 03:02:05,353 INFO] Epoch:6, Snapshot: 6; Loss: 0.6935
+[2024-06-10 03:02:08,293 INFO] Epoch:6, Snapshot: 7; Loss: 0.6937
+[2024-06-10 03:02:10,493 INFO] Epoch:6, Snapshot: 8; Loss: 0.6938
+[2024-06-10 03:02:13,131 INFO] Epoch:6, Snapshot: 9; Loss: 0.6941
+[2024-06-10 03:02:15,477 INFO] Epoch:6, Snapshot: 10; Loss: 0.6936
+[2024-06-10 03:02:17,839 INFO] Epoch:6, Snapshot: 11; Loss: 0.6937
+[2024-06-10 03:02:20,436 INFO] Epoch:6, Snapshot: 12; Loss: 0.6933
+[2024-06-10 03:02:22,906 INFO] Epoch:6, Snapshot: 13; Loss: 0.6926
+[2024-06-10 03:02:25,079 INFO] Epoch:6, Snapshot: 14; Loss: 0.6924
+[2024-06-10 03:02:27,002 INFO] Epoch:6, Snapshot: 15; Loss: 0.6927
+[2024-06-10 03:02:28,878 INFO] Epoch:6, Snapshot: 16; Loss: 0.6932
+[2024-06-10 03:02:31,130 INFO] Epoch:6, Snapshot: 17; Loss: 0.6928
+[2024-06-10 03:02:33,803 INFO] Epoch:6, Snapshot: 18; Loss: 0.6927
+[2024-06-10 03:03:09,651 INFO] ==========================================================================================
+[2024-06-10 03:03:09,651 INFO] Epoch:6, Loss: 0.6942, Time: 83.097, GPU: 1886.4MiB
+[2024-06-10 03:03:09,651 INFO] Epoch:6, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 886.5077
+[2024-06-10 03:03:11,965 INFO] Epoch:7, Snapshot: 0; Loss: 0.7094
+[2024-06-10 03:03:14,514 INFO] Epoch:7, Snapshot: 1; Loss: 0.6935
+[2024-06-10 03:03:17,077 INFO] Epoch:7, Snapshot: 2; Loss: 0.6929
+[2024-06-10 03:03:19,719 INFO] Epoch:7, Snapshot: 3; Loss: 0.6927
+[2024-06-10 03:03:22,468 INFO] Epoch:7, Snapshot: 4; Loss: 0.6926
+[2024-06-10 03:03:25,267 INFO] Epoch:7, Snapshot: 5; Loss: 0.6934
+[2024-06-10 03:03:28,628 INFO] Epoch:7, Snapshot: 6; Loss: 0.6934
+[2024-06-10 03:03:31,442 INFO] Epoch:7, Snapshot: 7; Loss: 0.6939
+[2024-06-10 03:03:34,240 INFO] Epoch:7, Snapshot: 8; Loss: 0.6937
+[2024-06-10 03:03:37,147 INFO] Epoch:7, Snapshot: 9; Loss: 0.6936
+[2024-06-10 03:03:39,649 INFO] Epoch:7, Snapshot: 10; Loss: 0.6931
+[2024-06-10 03:03:42,526 INFO] Epoch:7, Snapshot: 11; Loss: 0.6932
+[2024-06-10 03:03:45,121 INFO] Epoch:7, Snapshot: 12; Loss: 0.6929
+[2024-06-10 03:03:47,263 INFO] Epoch:7, Snapshot: 13; Loss: 0.6926
+[2024-06-10 03:03:49,264 INFO] Epoch:7, Snapshot: 14; Loss: 0.6924
+[2024-06-10 03:03:51,171 INFO] Epoch:7, Snapshot: 15; Loss: 0.6927
+[2024-06-10 03:03:53,123 INFO] Epoch:7, Snapshot: 16; Loss: 0.6932
+[2024-06-10 03:03:55,796 INFO] Epoch:7, Snapshot: 17; Loss: 0.6928
+[2024-06-10 03:03:58,455 INFO] Epoch:7, Snapshot: 18; Loss: 0.6927
+[2024-06-10 03:04:35,913 INFO] ==========================================================================================
+[2024-06-10 03:04:35,913 INFO] Epoch:7, Loss: 0.6939, Time: 86.262, GPU: 1886.4MiB
+[2024-06-10 03:04:35,913 INFO] Epoch:7, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 979.1206
+[2024-06-10 03:04:37,758 INFO] Epoch:8, Snapshot: 0; Loss: 0.7092
+[2024-06-10 03:04:40,353 INFO] Epoch:8, Snapshot: 1; Loss: 0.6935
+[2024-06-10 03:04:42,837 INFO] Epoch:8, Snapshot: 2; Loss: 0.6931
+[2024-06-10 03:04:45,557 INFO] Epoch:8, Snapshot: 3; Loss: 0.6929
+[2024-06-10 03:04:48,575 INFO] Epoch:8, Snapshot: 4; Loss: 0.6926
+[2024-06-10 03:04:50,902 INFO] Epoch:8, Snapshot: 5; Loss: 0.6934
+[2024-06-10 03:04:53,420 INFO] Epoch:8, Snapshot: 6; Loss: 0.6936
+[2024-06-10 03:04:56,140 INFO] Epoch:8, Snapshot: 7; Loss: 0.6937
+[2024-06-10 03:04:59,142 INFO] Epoch:8, Snapshot: 8; Loss: 0.6937
+[2024-06-10 03:05:01,722 INFO] Epoch:8, Snapshot: 9; Loss: 0.6936
+[2024-06-10 03:05:04,912 INFO] Epoch:8, Snapshot: 10; Loss: 0.6931
+[2024-06-10 03:05:07,506 INFO] Epoch:8, Snapshot: 11; Loss: 0.6932
+[2024-06-10 03:05:09,647 INFO] Epoch:8, Snapshot: 12; Loss: 0.6929
+[2024-06-10 03:05:11,679 INFO] Epoch:8, Snapshot: 13; Loss: 0.6926
+[2024-06-10 03:05:13,727 INFO] Epoch:8, Snapshot: 14; Loss: 0.6926
+[2024-06-10 03:05:16,071 INFO] Epoch:8, Snapshot: 15; Loss: 0.6927
+[2024-06-10 03:05:18,447 INFO] Epoch:8, Snapshot: 16; Loss: 0.6935
+[2024-06-10 03:05:20,995 INFO] Epoch:8, Snapshot: 17; Loss: 0.6930
+[2024-06-10 03:05:23,152 INFO] Epoch:8, Snapshot: 18; Loss: 0.6927
+[2024-06-10 03:05:59,373 INFO] ==========================================================================================
+[2024-06-10 03:05:59,373 INFO] Epoch:8, Loss: 0.6940, Time: 83.460, GPU: 1886.4MiB
+[2024-06-10 03:05:59,373 INFO] Epoch:8, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 927.2325
+[2024-06-10 03:06:01,718 INFO] Epoch:9, Snapshot: 0; Loss: 0.7091
+[2024-06-10 03:06:04,172 INFO] Epoch:9, Snapshot: 1; Loss: 0.6935
+[2024-06-10 03:06:07,095 INFO] Epoch:9, Snapshot: 2; Loss: 0.6931
+[2024-06-10 03:06:09,941 INFO] Epoch:9, Snapshot: 3; Loss: 0.6929
+[2024-06-10 03:06:12,770 INFO] Epoch:9, Snapshot: 4; Loss: 0.6926
+[2024-06-10 03:06:15,412 INFO] Epoch:9, Snapshot: 5; Loss: 0.6941
+[2024-06-10 03:06:18,085 INFO] Epoch:9, Snapshot: 6; Loss: 0.6944
+[2024-06-10 03:06:20,696 INFO] Epoch:9, Snapshot: 7; Loss: 0.6937
+[2024-06-10 03:06:23,338 INFO] Epoch:9, Snapshot: 8; Loss: 0.6939
+[2024-06-10 03:06:26,511 INFO] Epoch:9, Snapshot: 9; Loss: 0.6936
+[2024-06-10 03:06:29,090 INFO] Epoch:9, Snapshot: 10; Loss: 0.6932
+[2024-06-10 03:06:31,497 INFO] Epoch:9, Snapshot: 11; Loss: 0.6933
+[2024-06-10 03:06:33,670 INFO] Epoch:9, Snapshot: 12; Loss: 0.6930
+[2024-06-10 03:06:35,796 INFO] Epoch:9, Snapshot: 13; Loss: 0.6926
+[2024-06-10 03:06:38,442 INFO] Epoch:9, Snapshot: 14; Loss: 0.6930
+[2024-06-10 03:06:40,861 INFO] Epoch:9, Snapshot: 15; Loss: 0.6933
+[2024-06-10 03:06:43,270 INFO] Epoch:9, Snapshot: 16; Loss: 0.6932
+[2024-06-10 03:06:45,455 INFO] Epoch:9, Snapshot: 17; Loss: 0.6928
+[2024-06-10 03:06:47,474 INFO] Epoch:9, Snapshot: 18; Loss: 0.6927
+[2024-06-10 03:07:22,414 INFO] ==========================================================================================
+[2024-06-10 03:07:22,414 INFO] Epoch:9, Loss: 0.6941, Time: 83.041, GPU: 1886.4MiB
+[2024-06-10 03:07:22,414 INFO] Epoch:9, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 863.5106
+[2024-06-10 03:07:24,620 INFO] Epoch:10, Snapshot: 0; Loss: 0.7091
+[2024-06-10 03:07:26,959 INFO] Epoch:10, Snapshot: 1; Loss: 0.6936
+[2024-06-10 03:07:30,129 INFO] Epoch:10, Snapshot: 2; Loss: 0.6931
+[2024-06-10 03:07:32,930 INFO] Epoch:10, Snapshot: 3; Loss: 0.6928
+[2024-06-10 03:07:35,201 INFO] Epoch:10, Snapshot: 4; Loss: 0.6926
+[2024-06-10 03:07:37,942 INFO] Epoch:10, Snapshot: 5; Loss: 0.6933
+[2024-06-10 03:07:41,121 INFO] Epoch:10, Snapshot: 6; Loss: 0.6935
+[2024-06-10 03:07:44,167 INFO] Epoch:10, Snapshot: 7; Loss: 0.6937
+[2024-06-10 03:07:47,325 INFO] Epoch:10, Snapshot: 8; Loss: 0.6937
+[2024-06-10 03:07:50,052 INFO] Epoch:10, Snapshot: 9; Loss: 0.6939
+[2024-06-10 03:07:52,642 INFO] Epoch:10, Snapshot: 10; Loss: 0.6935
+[2024-06-10 03:07:54,659 INFO] Epoch:10, Snapshot: 11; Loss: 0.6932
+[2024-06-10 03:07:56,804 INFO] Epoch:10, Snapshot: 12; Loss: 0.6929
+[2024-06-10 03:07:59,058 INFO] Epoch:10, Snapshot: 13; Loss: 0.6926
+[2024-06-10 03:08:01,530 INFO] Epoch:10, Snapshot: 14; Loss: 0.6925
+[2024-06-10 03:08:03,820 INFO] Epoch:10, Snapshot: 15; Loss: 0.6927
+[2024-06-10 03:08:05,821 INFO] Epoch:10, Snapshot: 16; Loss: 0.6932
+[2024-06-10 03:08:07,760 INFO] Epoch:10, Snapshot: 17; Loss: 0.6929
+[2024-06-10 03:08:10,152 INFO] Epoch:10, Snapshot: 18; Loss: 0.6928
+[2024-06-10 03:08:43,333 INFO] ==========================================================================================
+[2024-06-10 03:08:43,333 INFO] Epoch:10, Loss: 0.6940, Time: 80.919, GPU: 1886.4MiB
+[2024-06-10 03:08:43,333 INFO] Epoch:10, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 772.7412
+[2024-06-10 03:08:45,630 INFO] Epoch:11, Snapshot: 0; Loss: 0.7091
+[2024-06-10 03:08:47,929 INFO] Epoch:11, Snapshot: 1; Loss: 0.6936
+[2024-06-10 03:08:50,803 INFO] Epoch:11, Snapshot: 2; Loss: 0.6930
+[2024-06-10 03:08:53,656 INFO] Epoch:11, Snapshot: 3; Loss: 0.6927
+[2024-06-10 03:08:56,332 INFO] Epoch:11, Snapshot: 4; Loss: 0.6926
+[2024-06-10 03:08:58,717 INFO] Epoch:11, Snapshot: 5; Loss: 0.6933
+[2024-06-10 03:09:01,145 INFO] Epoch:11, Snapshot: 6; Loss: 0.6935
+[2024-06-10 03:09:04,106 INFO] Epoch:11, Snapshot: 7; Loss: 0.6937
+[2024-06-10 03:09:07,193 INFO] Epoch:11, Snapshot: 8; Loss: 0.6937
+[2024-06-10 03:09:10,191 INFO] Epoch:11, Snapshot: 9; Loss: 0.6936
+[2024-06-10 03:09:12,827 INFO] Epoch:11, Snapshot: 10; Loss: 0.6931
+[2024-06-10 03:09:15,646 INFO] Epoch:11, Snapshot: 11; Loss: 0.6934
+[2024-06-10 03:09:17,887 INFO] Epoch:11, Snapshot: 12; Loss: 0.6931
+[2024-06-10 03:09:19,904 INFO] Epoch:11, Snapshot: 13; Loss: 0.6926
+[2024-06-10 03:09:22,232 INFO] Epoch:11, Snapshot: 14; Loss: 0.6925
+[2024-06-10 03:09:24,341 INFO] Epoch:11, Snapshot: 15; Loss: 0.6927
+[2024-06-10 03:09:26,241 INFO] Epoch:11, Snapshot: 16; Loss: 0.6934
+[2024-06-10 03:09:28,246 INFO] Epoch:11, Snapshot: 17; Loss: 0.6929
+[2024-06-10 03:09:30,394 INFO] Epoch:11, Snapshot: 18; Loss: 0.6928
+[2024-06-10 03:10:04,891 INFO] ==========================================================================================
+[2024-06-10 03:10:04,891 INFO] Epoch:11, Loss: 0.6940, Time: 81.559, GPU: 1886.4MiB
+[2024-06-10 03:10:04,891 INFO] Epoch:11, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 840.3865
+[2024-06-10 03:10:06,657 INFO] Epoch:12, Snapshot: 0; Loss: 0.7091
+[2024-06-10 03:10:09,039 INFO] Epoch:12, Snapshot: 1; Loss: 0.6936
+[2024-06-10 03:10:11,787 INFO] Epoch:12, Snapshot: 2; Loss: 0.6930
+[2024-06-10 03:10:14,656 INFO] Epoch:12, Snapshot: 3; Loss: 0.6927
+[2024-06-10 03:10:17,396 INFO] Epoch:12, Snapshot: 4; Loss: 0.6926
+[2024-06-10 03:10:19,503 INFO] Epoch:12, Snapshot: 5; Loss: 0.6933
+[2024-06-10 03:10:21,656 INFO] Epoch:12, Snapshot: 6; Loss: 0.6935
+[2024-06-10 03:10:24,442 INFO] Epoch:12, Snapshot: 7; Loss: 0.6937
+[2024-06-10 03:10:27,533 INFO] Epoch:12, Snapshot: 8; Loss: 0.6937
+[2024-06-10 03:10:30,285 INFO] Epoch:12, Snapshot: 9; Loss: 0.6936
+[2024-06-10 03:10:32,975 INFO] Epoch:12, Snapshot: 10; Loss: 0.6931
+[2024-06-10 03:10:35,586 INFO] Epoch:12, Snapshot: 11; Loss: 0.6933
+[2024-06-10 03:10:38,088 INFO] Epoch:12, Snapshot: 12; Loss: 0.6930
+[2024-06-10 03:10:40,106 INFO] Epoch:12, Snapshot: 13; Loss: 0.6926
+[2024-06-10 03:10:42,224 INFO] Epoch:12, Snapshot: 14; Loss: 0.6926
+[2024-06-10 03:10:44,536 INFO] Epoch:12, Snapshot: 15; Loss: 0.6927
+[2024-06-10 03:10:46,796 INFO] Epoch:12, Snapshot: 16; Loss: 0.6932
+[2024-06-10 03:10:48,926 INFO] Epoch:12, Snapshot: 17; Loss: 0.6928
+[2024-06-10 03:10:50,985 INFO] Epoch:12, Snapshot: 18; Loss: 0.6927
+[2024-06-10 03:11:26,182 INFO] ==========================================================================================
+[2024-06-10 03:11:26,182 INFO] Epoch:12, Loss: 0.6939, Time: 81.275, GPU: 1886.4MiB
+[2024-06-10 03:11:26,182 INFO] Epoch:12, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 872.1480
+[2024-06-10 03:11:28,138 INFO] Epoch:13, Snapshot: 0; Loss: 0.7091
+[2024-06-10 03:11:30,507 INFO] Epoch:13, Snapshot: 1; Loss: 0.6935
+[2024-06-10 03:11:32,862 INFO] Epoch:13, Snapshot: 2; Loss: 0.6929
+[2024-06-10 03:11:35,364 INFO] Epoch:13, Snapshot: 3; Loss: 0.6927
+[2024-06-10 03:11:38,015 INFO] Epoch:13, Snapshot: 4; Loss: 0.6926
+[2024-06-10 03:11:40,141 INFO] Epoch:13, Snapshot: 5; Loss: 0.6933
+[2024-06-10 03:11:42,262 INFO] Epoch:13, Snapshot: 6; Loss: 0.6935
+[2024-06-10 03:11:44,636 INFO] Epoch:13, Snapshot: 7; Loss: 0.6937
+[2024-06-10 03:11:47,219 INFO] Epoch:13, Snapshot: 8; Loss: 0.6937
+[2024-06-10 03:11:49,859 INFO] Epoch:13, Snapshot: 9; Loss: 0.6936
+[2024-06-10 03:11:52,146 INFO] Epoch:13, Snapshot: 10; Loss: 0.6931
+[2024-06-10 03:11:54,245 INFO] Epoch:13, Snapshot: 11; Loss: 0.6932
+[2024-06-10 03:11:56,718 INFO] Epoch:13, Snapshot: 12; Loss: 0.6929
+[2024-06-10 03:11:58,932 INFO] Epoch:13, Snapshot: 13; Loss: 0.6927
+[2024-06-10 03:12:01,633 INFO] Epoch:13, Snapshot: 14; Loss: 0.6925
+[2024-06-10 03:12:03,944 INFO] Epoch:13, Snapshot: 15; Loss: 0.6927
+[2024-06-10 03:12:06,024 INFO] Epoch:13, Snapshot: 16; Loss: 0.6932
+[2024-06-10 03:12:08,421 INFO] Epoch:13, Snapshot: 17; Loss: 0.6928
+[2024-06-10 03:12:10,463 INFO] Epoch:13, Snapshot: 18; Loss: 0.6927
+[2024-06-10 03:12:44,128 INFO] ==========================================================================================
+[2024-06-10 03:12:44,128 INFO] Epoch:13, Loss: 0.6939, Time: 77.946, GPU: 1886.4MiB
+[2024-06-10 03:12:44,128 INFO] Epoch:13, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 809.1514
+[2024-06-10 03:12:46,331 INFO] Epoch:14, Snapshot: 0; Loss: 0.7091
+[2024-06-10 03:12:48,144 INFO] Epoch:14, Snapshot: 1; Loss: 0.6935
+[2024-06-10 03:12:50,357 INFO] Epoch:14, Snapshot: 2; Loss: 0.6929
+[2024-06-10 03:12:53,654 INFO] Epoch:14, Snapshot: 3; Loss: 0.6927
+[2024-06-10 03:12:56,468 INFO] Epoch:14, Snapshot: 4; Loss: 0.6926
+[2024-06-10 03:12:58,766 INFO] Epoch:14, Snapshot: 5; Loss: 0.6933
+[2024-06-10 03:13:01,315 INFO] Epoch:14, Snapshot: 6; Loss: 0.6935
+[2024-06-10 03:13:03,972 INFO] Epoch:14, Snapshot: 7; Loss: 0.6937
+[2024-06-10 03:13:06,927 INFO] Epoch:14, Snapshot: 8; Loss: 0.6937
+[2024-06-10 03:13:09,811 INFO] Epoch:14, Snapshot: 9; Loss: 0.6936
+[2024-06-10 03:13:12,862 INFO] Epoch:14, Snapshot: 10; Loss: 0.6931
+[2024-06-10 03:13:15,254 INFO] Epoch:14, Snapshot: 11; Loss: 0.6932
+[2024-06-10 03:13:17,735 INFO] Epoch:14, Snapshot: 12; Loss: 0.6929
+[2024-06-10 03:13:19,907 INFO] Epoch:14, Snapshot: 13; Loss: 0.6927
+[2024-06-10 03:13:22,077 INFO] Epoch:14, Snapshot: 14; Loss: 0.6925
+[2024-06-10 03:13:23,991 INFO] Epoch:14, Snapshot: 15; Loss: 0.6927
+[2024-06-10 03:13:25,873 INFO] Epoch:14, Snapshot: 16; Loss: 0.6932
+[2024-06-10 03:13:28,110 INFO] Epoch:14, Snapshot: 17; Loss: 0.6928
+[2024-06-10 03:13:30,142 INFO] Epoch:14, Snapshot: 18; Loss: 0.6927
+[2024-06-10 03:14:01,719 INFO] ==========================================================================================
+[2024-06-10 03:14:01,719 INFO] Epoch:14, Loss: 0.6939, Time: 77.591, GPU: 1886.4MiB
+[2024-06-10 03:14:01,719 INFO] Epoch:14, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 693.4842
+[2024-06-10 03:14:03,509 INFO] Epoch:15, Snapshot: 0; Loss: 0.7091
+[2024-06-10 03:14:05,504 INFO] Epoch:15, Snapshot: 1; Loss: 0.6935
+[2024-06-10 03:14:07,581 INFO] Epoch:15, Snapshot: 2; Loss: 0.6929
+[2024-06-10 03:14:10,096 INFO] Epoch:15, Snapshot: 3; Loss: 0.6927
+[2024-06-10 03:14:12,514 INFO] Epoch:15, Snapshot: 4; Loss: 0.6926
+[2024-06-10 03:14:14,774 INFO] Epoch:15, Snapshot: 5; Loss: 0.6933
+[2024-06-10 03:14:16,914 INFO] Epoch:15, Snapshot: 6; Loss: 0.6935
+[2024-06-10 03:14:19,550 INFO] Epoch:15, Snapshot: 7; Loss: 0.6937
+[2024-06-10 03:14:22,046 INFO] Epoch:15, Snapshot: 8; Loss: 0.6938
+[2024-06-10 03:14:24,768 INFO] Epoch:15, Snapshot: 9; Loss: 0.6936
+[2024-06-10 03:14:27,574 INFO] Epoch:15, Snapshot: 10; Loss: 0.6931
+[2024-06-10 03:14:30,587 INFO] Epoch:15, Snapshot: 11; Loss: 0.6932
+[2024-06-10 03:14:33,062 INFO] Epoch:15, Snapshot: 12; Loss: 0.6929
+[2024-06-10 03:14:35,118 INFO] Epoch:15, Snapshot: 13; Loss: 0.6927
+[2024-06-10 03:14:37,235 INFO] Epoch:15, Snapshot: 14; Loss: 0.6925
+[2024-06-10 03:14:39,512 INFO] Epoch:15, Snapshot: 15; Loss: 0.6928
+[2024-06-10 03:14:42,044 INFO] Epoch:15, Snapshot: 16; Loss: 0.6932
+[2024-06-10 03:14:44,186 INFO] Epoch:15, Snapshot: 17; Loss: 0.6928
+[2024-06-10 03:14:46,219 INFO] Epoch:15, Snapshot: 18; Loss: 0.6927
+[2024-06-10 03:15:21,782 INFO] ==========================================================================================
+[2024-06-10 03:15:21,782 INFO] Epoch:15, Loss: 0.6939, Time: 80.063, GPU: 1886.4MiB
+[2024-06-10 03:15:21,782 INFO] Epoch:15, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 895.9761
+[2024-06-10 03:15:23,735 INFO] Epoch:16, Snapshot: 0; Loss: 0.7091
+[2024-06-10 03:15:25,626 INFO] Epoch:16, Snapshot: 1; Loss: 0.6935
+[2024-06-10 03:15:27,846 INFO] Epoch:16, Snapshot: 2; Loss: 0.6929
+[2024-06-10 03:15:30,597 INFO] Epoch:16, Snapshot: 3; Loss: 0.6927
+[2024-06-10 03:15:33,692 INFO] Epoch:16, Snapshot: 4; Loss: 0.6926
+[2024-06-10 03:15:36,194 INFO] Epoch:16, Snapshot: 5; Loss: 0.6933
+[2024-06-10 03:15:39,007 INFO] Epoch:16, Snapshot: 6; Loss: 0.6935
+[2024-06-10 03:15:41,603 INFO] Epoch:16, Snapshot: 7; Loss: 0.6937
+[2024-06-10 03:15:44,327 INFO] Epoch:16, Snapshot: 8; Loss: 0.6938
+[2024-06-10 03:15:47,341 INFO] Epoch:16, Snapshot: 9; Loss: 0.6936
+[2024-06-10 03:15:50,109 INFO] Epoch:16, Snapshot: 10; Loss: 0.6931
+[2024-06-10 03:15:53,126 INFO] Epoch:16, Snapshot: 11; Loss: 0.6932
+[2024-06-10 03:15:55,814 INFO] Epoch:16, Snapshot: 12; Loss: 0.6929
+[2024-06-10 03:15:58,142 INFO] Epoch:16, Snapshot: 13; Loss: 0.6927
+[2024-06-10 03:16:00,768 INFO] Epoch:16, Snapshot: 14; Loss: 0.6925
+[2024-06-10 03:16:02,783 INFO] Epoch:16, Snapshot: 15; Loss: 0.6927
+[2024-06-10 03:16:05,160 INFO] Epoch:16, Snapshot: 16; Loss: 0.6932
+[2024-06-10 03:16:07,286 INFO] Epoch:16, Snapshot: 17; Loss: 0.6928
+[2024-06-10 03:16:09,443 INFO] Epoch:16, Snapshot: 18; Loss: 0.6927
+[2024-06-10 03:16:44,047 INFO] ==========================================================================================
+[2024-06-10 03:16:44,047 INFO] Epoch:16, Loss: 0.6939, Time: 82.265, GPU: 1886.4MiB
+[2024-06-10 03:16:44,047 INFO] Epoch:16, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 836.1360
+[2024-06-10 03:16:45,773 INFO] Epoch:17, Snapshot: 0; Loss: 0.7091
+[2024-06-10 03:16:47,573 INFO] Epoch:17, Snapshot: 1; Loss: 0.6935
+[2024-06-10 03:16:50,183 INFO] Epoch:17, Snapshot: 2; Loss: 0.6929
+[2024-06-10 03:16:53,105 INFO] Epoch:17, Snapshot: 3; Loss: 0.6927
+[2024-06-10 03:16:55,356 INFO] Epoch:17, Snapshot: 4; Loss: 0.6926
+[2024-06-10 03:16:57,922 INFO] Epoch:17, Snapshot: 5; Loss: 0.6933
+[2024-06-10 03:17:00,562 INFO] Epoch:17, Snapshot: 6; Loss: 0.6935
+[2024-06-10 03:17:03,724 INFO] Epoch:17, Snapshot: 7; Loss: 0.6937
+[2024-06-10 03:17:06,674 INFO] Epoch:17, Snapshot: 8; Loss: 0.6938
+[2024-06-10 03:17:09,707 INFO] Epoch:17, Snapshot: 9; Loss: 0.6936
+[2024-06-10 03:17:12,425 INFO] Epoch:17, Snapshot: 10; Loss: 0.6931
+[2024-06-10 03:17:15,145 INFO] Epoch:17, Snapshot: 11; Loss: 0.6932
+[2024-06-10 03:17:17,040 INFO] Epoch:17, Snapshot: 12; Loss: 0.6929
+[2024-06-10 03:17:19,024 INFO] Epoch:17, Snapshot: 13; Loss: 0.6927
+[2024-06-10 03:17:21,090 INFO] Epoch:17, Snapshot: 14; Loss: 0.6925
+[2024-06-10 03:17:23,391 INFO] Epoch:17, Snapshot: 15; Loss: 0.6927
+[2024-06-10 03:17:25,267 INFO] Epoch:17, Snapshot: 16; Loss: 0.6932
+[2024-06-10 03:17:27,437 INFO] Epoch:17, Snapshot: 17; Loss: 0.6928
+[2024-06-10 03:17:29,574 INFO] Epoch:17, Snapshot: 18; Loss: 0.6927
+[2024-06-10 03:18:03,777 INFO] ==========================================================================================
+[2024-06-10 03:18:03,777 INFO] Epoch:17, Loss: 0.6939, Time: 79.729, GPU: 1886.4MiB
+[2024-06-10 03:18:03,777 INFO] Epoch:17, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 835.9011
+[2024-06-10 03:18:05,746 INFO] Epoch:18, Snapshot: 0; Loss: 0.7091
+[2024-06-10 03:18:07,590 INFO] Epoch:18, Snapshot: 1; Loss: 0.6935
+[2024-06-10 03:18:09,548 INFO] Epoch:18, Snapshot: 2; Loss: 0.6929
+[2024-06-10 03:18:11,779 INFO] Epoch:18, Snapshot: 3; Loss: 0.6927
+[2024-06-10 03:18:14,107 INFO] Epoch:18, Snapshot: 4; Loss: 0.6926
+[2024-06-10 03:18:16,980 INFO] Epoch:18, Snapshot: 5; Loss: 0.6933
+[2024-06-10 03:18:19,451 INFO] Epoch:18, Snapshot: 6; Loss: 0.6935
+[2024-06-10 03:18:22,438 INFO] Epoch:18, Snapshot: 7; Loss: 0.6937
+[2024-06-10 03:18:25,003 INFO] Epoch:18, Snapshot: 8; Loss: 0.6938
+[2024-06-10 03:18:27,257 INFO] Epoch:18, Snapshot: 9; Loss: 0.6936
+[2024-06-10 03:18:29,290 INFO] Epoch:18, Snapshot: 10; Loss: 0.6931
+[2024-06-10 03:18:31,515 INFO] Epoch:18, Snapshot: 11; Loss: 0.6932
+[2024-06-10 03:18:33,823 INFO] Epoch:18, Snapshot: 12; Loss: 0.6929
+[2024-06-10 03:18:36,607 INFO] Epoch:18, Snapshot: 13; Loss: 0.6927
+[2024-06-10 03:18:39,262 INFO] Epoch:18, Snapshot: 14; Loss: 0.6925
+[2024-06-10 03:18:41,540 INFO] Epoch:18, Snapshot: 15; Loss: 0.6927
+[2024-06-10 03:18:43,934 INFO] Epoch:18, Snapshot: 16; Loss: 0.6932
+[2024-06-10 03:18:45,942 INFO] Epoch:18, Snapshot: 17; Loss: 0.6928
+[2024-06-10 03:18:47,996 INFO] Epoch:18, Snapshot: 18; Loss: 0.6927
+[2024-06-10 03:19:20,388 INFO] ==========================================================================================
+[2024-06-10 03:19:20,389 INFO] Epoch:18, Loss: 0.6939, Time: 76.612, GPU: 1886.4MiB
+[2024-06-10 03:19:20,389 INFO] Epoch:18, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 733.8135
+[2024-06-10 03:19:22,167 INFO] Epoch:19, Snapshot: 0; Loss: 0.7091
+[2024-06-10 03:19:24,090 INFO] Epoch:19, Snapshot: 1; Loss: 0.6935
+[2024-06-10 03:19:26,033 INFO] Epoch:19, Snapshot: 2; Loss: 0.6929
+[2024-06-10 03:19:28,445 INFO] Epoch:19, Snapshot: 3; Loss: 0.6927
+[2024-06-10 03:19:30,729 INFO] Epoch:19, Snapshot: 4; Loss: 0.6926
+[2024-06-10 03:19:33,158 INFO] Epoch:19, Snapshot: 5; Loss: 0.6933
+[2024-06-10 03:19:35,506 INFO] Epoch:19, Snapshot: 6; Loss: 0.6935
+[2024-06-10 03:19:37,840 INFO] Epoch:19, Snapshot: 7; Loss: 0.6937
+[2024-06-10 03:19:40,073 INFO] Epoch:19, Snapshot: 8; Loss: 0.6938
+[2024-06-10 03:19:42,313 INFO] Epoch:19, Snapshot: 9; Loss: 0.6936
+[2024-06-10 03:19:45,068 INFO] Epoch:19, Snapshot: 10; Loss: 0.6931
+[2024-06-10 03:19:47,788 INFO] Epoch:19, Snapshot: 11; Loss: 0.6932
+[2024-06-10 03:19:50,115 INFO] Epoch:19, Snapshot: 12; Loss: 0.6929
+[2024-06-10 03:19:53,135 INFO] Epoch:19, Snapshot: 13; Loss: 0.6927
+[2024-06-10 03:19:55,885 INFO] Epoch:19, Snapshot: 14; Loss: 0.6925
+[2024-06-10 03:19:57,791 INFO] Epoch:19, Snapshot: 15; Loss: 0.6927
+[2024-06-10 03:19:59,690 INFO] Epoch:19, Snapshot: 16; Loss: 0.6932
+[2024-06-10 03:20:01,713 INFO] Epoch:19, Snapshot: 17; Loss: 0.6928
+[2024-06-10 03:20:03,723 INFO] Epoch:19, Snapshot: 18; Loss: 0.6927
+[2024-06-10 03:20:38,840 INFO] ==========================================================================================
+[2024-06-10 03:20:38,840 INFO] Epoch:19, Loss: 0.6939, Time: 78.452, GPU: 1886.4MiB
+[2024-06-10 03:20:38,840 INFO] Epoch:19, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 875.3583
+[2024-06-10 03:20:40,683 INFO] Epoch:20, Snapshot: 0; Loss: 0.7091
+[2024-06-10 03:20:42,490 INFO] Epoch:20, Snapshot: 1; Loss: 0.6935
+[2024-06-10 03:20:44,590 INFO] Epoch:20, Snapshot: 2; Loss: 0.6929
+[2024-06-10 03:20:46,690 INFO] Epoch:20, Snapshot: 3; Loss: 0.6927
+[2024-06-10 03:20:48,843 INFO] Epoch:20, Snapshot: 4; Loss: 0.6926
+[2024-06-10 03:20:51,459 INFO] Epoch:20, Snapshot: 5; Loss: 0.6933
+[2024-06-10 03:20:54,464 INFO] Epoch:20, Snapshot: 6; Loss: 0.6935
+[2024-06-10 03:20:56,832 INFO] Epoch:20, Snapshot: 7; Loss: 0.6937
+[2024-06-10 03:20:59,631 INFO] Epoch:20, Snapshot: 8; Loss: 0.6938
+[2024-06-10 03:21:02,074 INFO] Epoch:20, Snapshot: 9; Loss: 0.6936
+[2024-06-10 03:21:04,268 INFO] Epoch:20, Snapshot: 10; Loss: 0.6931
+[2024-06-10 03:21:06,643 INFO] Epoch:20, Snapshot: 11; Loss: 0.6932
+[2024-06-10 03:21:09,182 INFO] Epoch:20, Snapshot: 12; Loss: 0.6929
+[2024-06-10 03:21:11,793 INFO] Epoch:20, Snapshot: 13; Loss: 0.6927
+[2024-06-10 03:21:27,334 INFO] fixed random seed
+[2024-06-10 03:21:29,272 INFO] Epoch:1, Snapshot: 0; Loss: 0.9656
+[2024-06-10 03:21:30,850 INFO] Epoch:1, Snapshot: 1; Loss: 1.9866
+[2024-06-10 03:21:32,522 INFO] Epoch:1, Snapshot: 2; Loss: 0.9829
+[2024-06-10 03:21:34,195 INFO] Epoch:1, Snapshot: 3; Loss: 0.7396
+[2024-06-10 03:21:36,087 INFO] Epoch:1, Snapshot: 4; Loss: 0.6993
+[2024-06-10 03:21:38,053 INFO] Epoch:1, Snapshot: 5; Loss: 0.6957
+[2024-06-10 03:21:40,066 INFO] Epoch:1, Snapshot: 6; Loss: 0.7035
+[2024-06-10 03:21:42,392 INFO] Epoch:1, Snapshot: 7; Loss: 0.7077
+[2024-06-10 03:21:45,881 INFO] Epoch:1, Snapshot: 8; Loss: 0.7144
+[2024-06-10 03:21:48,897 INFO] Epoch:1, Snapshot: 9; Loss: 0.7170
+[2024-06-10 03:21:51,382 INFO] Epoch:1, Snapshot: 10; Loss: 0.7088
+[2024-06-10 03:21:54,055 INFO] Epoch:1, Snapshot: 11; Loss: 0.7067
+[2024-06-10 03:21:56,603 INFO] Epoch:1, Snapshot: 12; Loss: 0.7020
+[2024-06-10 03:21:59,134 INFO] Epoch:1, Snapshot: 13; Loss: 0.6949
+[2024-06-10 03:22:01,885 INFO] Epoch:1, Snapshot: 14; Loss: 0.7013
+[2024-06-10 03:22:04,181 INFO] Epoch:1, Snapshot: 15; Loss: 0.7003
+[2024-06-10 03:22:06,489 INFO] Epoch:1, Snapshot: 16; Loss: 0.6974
+[2024-06-10 03:22:08,662 INFO] Epoch:1, Snapshot: 17; Loss: 0.6935
+[2024-06-10 03:22:10,729 INFO] Epoch:1, Snapshot: 18; Loss: 0.6943
+[2024-06-10 03:22:44,642 INFO] ==========================================================================================
+[2024-06-10 03:22:44,642 INFO] Epoch:1, Loss: 0.8006, Time: 77.308, GPU: 1217.0MiB
+[2024-06-10 03:22:44,642 INFO] Epoch:1, Accuracy: 0.4931; F1: 0.0000; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, Memory: 1825.4014, time: 802.2888
+[2024-06-10 03:22:46,924 INFO] Epoch:2, Snapshot: 0; Loss: 0.7161
+[2024-06-10 03:22:49,330 INFO] Epoch:2, Snapshot: 1; Loss: 0.6949
+[2024-06-10 03:22:51,752 INFO] Epoch:2, Snapshot: 2; Loss: 0.6964
+[2024-06-10 03:22:54,816 INFO] Epoch:2, Snapshot: 3; Loss: 0.6971
+[2024-06-10 03:22:57,645 INFO] Epoch:2, Snapshot: 4; Loss: 0.6970
+[2024-06-10 03:23:00,443 INFO] Epoch:2, Snapshot: 5; Loss: 0.6938
+[2024-06-10 03:23:03,726 INFO] Epoch:2, Snapshot: 6; Loss: 0.6936
+[2024-06-10 03:23:06,742 INFO] Epoch:2, Snapshot: 7; Loss: 0.6939
+[2024-06-10 03:23:09,508 INFO] Epoch:2, Snapshot: 8; Loss: 0.6932
+[2024-06-10 03:23:12,040 INFO] Epoch:2, Snapshot: 9; Loss: 0.6933
+[2024-06-10 03:23:14,790 INFO] Epoch:2, Snapshot: 10; Loss: 0.6932
+[2024-06-10 03:23:16,963 INFO] Epoch:2, Snapshot: 11; Loss: 0.6932
+[2024-06-10 03:23:19,700 INFO] Epoch:2, Snapshot: 12; Loss: 0.6929
+[2024-06-10 03:23:22,278 INFO] Epoch:2, Snapshot: 13; Loss: 0.6924
+[2024-06-10 03:23:24,950 INFO] Epoch:2, Snapshot: 14; Loss: 0.6982
+[2024-06-10 03:23:27,326 INFO] Epoch:2, Snapshot: 15; Loss: 0.7022
+[2024-06-10 03:23:29,374 INFO] Epoch:2, Snapshot: 16; Loss: 0.6943
+[2024-06-10 03:23:31,608 INFO] Epoch:2, Snapshot: 17; Loss: 0.6941
+[2024-06-10 03:23:33,813 INFO] Epoch:2, Snapshot: 18; Loss: 0.6938
+[2024-06-10 03:24:10,173 INFO] ==========================================================================================
+[2024-06-10 03:24:10,173 INFO] Epoch:2, Loss: 0.6960, Time: 85.531, GPU: 1885.5MiB
+[2024-06-10 03:24:10,173 INFO] Epoch:2, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1885.4851, time: 933.7377
+[2024-06-10 03:24:12,521 INFO] Epoch:3, Snapshot: 0; Loss: 0.7104
+[2024-06-10 03:24:15,072 INFO] Epoch:3, Snapshot: 1; Loss: 0.6949
+[2024-06-10 03:24:17,163 INFO] Epoch:3, Snapshot: 2; Loss: 0.6930
+[2024-06-10 03:24:19,690 INFO] Epoch:3, Snapshot: 3; Loss: 0.6925
+[2024-06-10 03:24:22,304 INFO] Epoch:3, Snapshot: 4; Loss: 0.6924
+[2024-06-10 03:24:25,413 INFO] Epoch:3, Snapshot: 5; Loss: 0.6933
+[2024-06-10 03:24:28,084 INFO] Epoch:3, Snapshot: 6; Loss: 0.6940
+[2024-06-10 03:24:30,557 INFO] Epoch:3, Snapshot: 7; Loss: 0.6941
+[2024-06-10 03:24:33,250 INFO] Epoch:3, Snapshot: 8; Loss: 0.6932
+[2024-06-10 03:24:35,227 INFO] Epoch:3, Snapshot: 9; Loss: 0.6930
+[2024-06-10 03:24:37,448 INFO] Epoch:3, Snapshot: 10; Loss: 0.6936
+[2024-06-10 03:24:39,733 INFO] Epoch:3, Snapshot: 11; Loss: 0.6936
+[2024-06-10 03:24:42,357 INFO] Epoch:3, Snapshot: 12; Loss: 0.6944
+[2024-06-10 03:24:45,265 INFO] Epoch:3, Snapshot: 13; Loss: 0.6947
+[2024-06-10 03:24:47,367 INFO] Epoch:3, Snapshot: 14; Loss: 0.6944
+[2024-06-10 03:24:49,323 INFO] Epoch:3, Snapshot: 15; Loss: 0.6934
+[2024-06-10 03:24:51,230 INFO] Epoch:3, Snapshot: 16; Loss: 0.6932
+[2024-06-10 03:24:53,329 INFO] Epoch:3, Snapshot: 17; Loss: 0.6928
+[2024-06-10 03:24:56,041 INFO] Epoch:3, Snapshot: 18; Loss: 0.6925
+[2024-06-10 03:25:32,495 INFO] ==========================================================================================
+[2024-06-10 03:25:32,495 INFO] Epoch:3, Loss: 0.6944, Time: 82.322, GPU: 1885.5MiB
+[2024-06-10 03:25:32,495 INFO] Epoch:3, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1885.6750, time: 933.7559
+[2024-06-10 03:25:34,803 INFO] Epoch:4, Snapshot: 0; Loss: 0.7107
+[2024-06-10 03:25:36,695 INFO] Epoch:4, Snapshot: 1; Loss: 0.6959
+[2024-06-10 03:25:38,633 INFO] Epoch:4, Snapshot: 2; Loss: 0.6935
+[2024-06-10 03:25:40,682 INFO] Epoch:4, Snapshot: 3; Loss: 0.6927
+[2024-06-10 03:25:43,652 INFO] Epoch:4, Snapshot: 4; Loss: 0.6923
+[2024-06-10 03:25:46,606 INFO] Epoch:4, Snapshot: 5; Loss: 0.6940
+[2024-06-10 03:25:49,561 INFO] Epoch:4, Snapshot: 6; Loss: 0.6940
+[2024-06-10 03:25:52,376 INFO] Epoch:4, Snapshot: 7; Loss: 0.6939
+[2024-06-10 03:25:55,048 INFO] Epoch:4, Snapshot: 8; Loss: 0.6933
+[2024-06-10 03:25:57,540 INFO] Epoch:4, Snapshot: 9; Loss: 0.6930
+[2024-06-10 03:26:00,459 INFO] Epoch:4, Snapshot: 10; Loss: 0.6938
+[2024-06-10 03:26:03,772 INFO] Epoch:4, Snapshot: 11; Loss: 0.6940
+[2024-06-10 03:26:06,505 INFO] Epoch:4, Snapshot: 12; Loss: 0.6954
+[2024-06-10 03:26:09,062 INFO] Epoch:4, Snapshot: 13; Loss: 0.6961
+[2024-06-10 03:26:11,325 INFO] Epoch:4, Snapshot: 14; Loss: 0.6955
+[2024-06-10 03:26:13,336 INFO] Epoch:4, Snapshot: 15; Loss: 0.6939
+[2024-06-10 03:26:15,337 INFO] Epoch:4, Snapshot: 16; Loss: 0.6936
+[2024-06-10 03:26:17,683 INFO] Epoch:4, Snapshot: 17; Loss: 0.6927
+[2024-06-10 03:26:20,316 INFO] Epoch:4, Snapshot: 18; Loss: 0.6926
+[2024-06-10 03:26:57,899 INFO] ==========================================================================================
+[2024-06-10 03:26:57,899 INFO] Epoch:4, Loss: 0.6948, Time: 85.404, GPU: 1886.4MiB
+[2024-06-10 03:26:57,900 INFO] Epoch:4, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 943.3681
+[2024-06-10 03:26:59,630 INFO] Epoch:5, Snapshot: 0; Loss: 0.7105
+[2024-06-10 03:27:01,446 INFO] Epoch:5, Snapshot: 1; Loss: 0.6967
+[2024-06-10 03:27:04,048 INFO] Epoch:5, Snapshot: 2; Loss: 0.6939
+[2024-06-10 03:27:06,086 INFO] Epoch:5, Snapshot: 3; Loss: 0.6929
+[2024-06-10 03:27:08,516 INFO] Epoch:5, Snapshot: 4; Loss: 0.6924
+[2024-06-10 03:27:10,624 INFO] Epoch:5, Snapshot: 5; Loss: 0.6941
+[2024-06-10 03:27:12,774 INFO] Epoch:5, Snapshot: 6; Loss: 0.6940
+[2024-06-10 03:27:14,868 INFO] Epoch:5, Snapshot: 7; Loss: 0.6937
+[2024-06-10 03:27:17,114 INFO] Epoch:5, Snapshot: 8; Loss: 0.6931
+[2024-06-10 03:27:19,450 INFO] Epoch:5, Snapshot: 9; Loss: 0.6930
+[2024-06-10 03:27:21,886 INFO] Epoch:5, Snapshot: 10; Loss: 0.6943
+[2024-06-10 03:27:24,376 INFO] Epoch:5, Snapshot: 11; Loss: 0.6944
+[2024-06-10 03:27:27,271 INFO] Epoch:5, Snapshot: 12; Loss: 0.6958
+[2024-06-10 03:27:29,916 INFO] Epoch:5, Snapshot: 13; Loss: 0.6963
+[2024-06-10 03:27:32,472 INFO] Epoch:5, Snapshot: 14; Loss: 0.6955
+[2024-06-10 03:27:34,990 INFO] Epoch:5, Snapshot: 15; Loss: 0.6935
+[2024-06-10 03:27:37,345 INFO] Epoch:5, Snapshot: 16; Loss: 0.6933
+[2024-06-10 03:27:39,755 INFO] Epoch:5, Snapshot: 17; Loss: 0.6927
+[2024-06-10 03:27:41,751 INFO] Epoch:5, Snapshot: 18; Loss: 0.6928
+[2024-06-10 03:28:16,712 INFO] ==========================================================================================
+[2024-06-10 03:28:16,712 INFO] Epoch:5, Loss: 0.6949, Time: 78.811, GPU: 1886.4MiB
+[2024-06-10 03:28:16,712 INFO] Epoch:5, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 853.4059
+[2024-06-10 03:28:18,446 INFO] Epoch:6, Snapshot: 0; Loss: 0.7109
+[2024-06-10 03:28:20,287 INFO] Epoch:6, Snapshot: 1; Loss: 0.6976
+[2024-06-10 03:28:22,923 INFO] Epoch:6, Snapshot: 2; Loss: 0.6942
+[2024-06-10 03:28:25,439 INFO] Epoch:6, Snapshot: 3; Loss: 0.6930
+[2024-06-10 03:28:27,856 INFO] Epoch:6, Snapshot: 4; Loss: 0.6923
+[2024-06-10 03:28:30,170 INFO] Epoch:6, Snapshot: 5; Loss: 0.6939
+[2024-06-10 03:28:32,800 INFO] Epoch:6, Snapshot: 6; Loss: 0.6936
+[2024-06-10 03:28:35,586 INFO] Epoch:6, Snapshot: 7; Loss: 0.6933
+[2024-06-10 03:28:37,989 INFO] Epoch:6, Snapshot: 8; Loss: 0.6929
+[2024-06-10 03:28:41,104 INFO] Epoch:6, Snapshot: 9; Loss: 0.6931
+[2024-06-10 03:28:44,128 INFO] Epoch:6, Snapshot: 10; Loss: 0.6948
+[2024-06-10 03:28:46,679 INFO] Epoch:6, Snapshot: 11; Loss: 0.6948
+[2024-06-10 03:28:49,241 INFO] Epoch:6, Snapshot: 12; Loss: 0.6960
+[2024-06-10 03:28:51,839 INFO] Epoch:6, Snapshot: 13; Loss: 0.6960
+[2024-06-10 03:28:54,604 INFO] Epoch:6, Snapshot: 14; Loss: 0.6949
+[2024-06-10 03:28:57,261 INFO] Epoch:6, Snapshot: 15; Loss: 0.6930
+[2024-06-10 03:28:59,383 INFO] Epoch:6, Snapshot: 16; Loss: 0.6936
+[2024-06-10 03:29:01,948 INFO] Epoch:6, Snapshot: 17; Loss: 0.6930
+[2024-06-10 03:29:04,114 INFO] Epoch:6, Snapshot: 18; Loss: 0.6931
+[2024-06-10 03:29:39,986 INFO] ==========================================================================================
+[2024-06-10 03:29:39,986 INFO] Epoch:6, Loss: 0.6950, Time: 83.274, GPU: 1886.4MiB
+[2024-06-10 03:29:39,986 INFO] Epoch:6, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 895.4845
+[2024-06-10 03:29:41,843 INFO] Epoch:7, Snapshot: 0; Loss: 0.7115
+[2024-06-10 03:29:44,163 INFO] Epoch:7, Snapshot: 1; Loss: 0.6982
+[2024-06-10 03:29:46,587 INFO] Epoch:7, Snapshot: 2; Loss: 0.6942
+[2024-06-10 03:29:49,220 INFO] Epoch:7, Snapshot: 3; Loss: 0.6928
+[2024-06-10 03:29:51,794 INFO] Epoch:7, Snapshot: 4; Loss: 0.6923
+[2024-06-10 03:29:53,979 INFO] Epoch:7, Snapshot: 5; Loss: 0.6935
+[2024-06-10 03:29:56,508 INFO] Epoch:7, Snapshot: 6; Loss: 0.6933
+[2024-06-10 03:29:58,899 INFO] Epoch:7, Snapshot: 7; Loss: 0.6930
+[2024-06-10 03:30:01,769 INFO] Epoch:7, Snapshot: 8; Loss: 0.6929
+[2024-06-10 03:30:04,638 INFO] Epoch:7, Snapshot: 9; Loss: 0.6932
+[2024-06-10 03:30:07,178 INFO] Epoch:7, Snapshot: 10; Loss: 0.6951
+[2024-06-10 03:30:09,453 INFO] Epoch:7, Snapshot: 11; Loss: 0.6948
+[2024-06-10 03:30:12,386 INFO] Epoch:7, Snapshot: 12; Loss: 0.6958
+[2024-06-10 03:30:14,763 INFO] Epoch:7, Snapshot: 13; Loss: 0.6954
+[2024-06-10 03:30:17,609 INFO] Epoch:7, Snapshot: 14; Loss: 0.6940
+[2024-06-10 03:30:20,285 INFO] Epoch:7, Snapshot: 15; Loss: 0.6926
+[2024-06-10 03:30:22,484 INFO] Epoch:7, Snapshot: 16; Loss: 0.6941
+[2024-06-10 03:30:24,573 INFO] Epoch:7, Snapshot: 17; Loss: 0.6934
+[2024-06-10 03:30:26,656 INFO] Epoch:7, Snapshot: 18; Loss: 0.6935
+[2024-06-10 03:31:13,544 INFO] fixed random seed
+[2024-06-10 03:31:15,489 INFO] Epoch:1, Snapshot: 0; Loss: 0.8127
+[2024-06-10 03:31:17,087 INFO] Epoch:1, Snapshot: 1; Loss: 0.7353
+[2024-06-10 03:31:19,186 INFO] Epoch:1, Snapshot: 2; Loss: 0.7141
+[2024-06-10 03:31:22,041 INFO] Epoch:1, Snapshot: 3; Loss: 0.7230
+[2024-06-10 03:31:24,855 INFO] Epoch:1, Snapshot: 4; Loss: 0.7271
+[2024-06-10 03:31:27,382 INFO] Epoch:1, Snapshot: 5; Loss: 0.7181
+[2024-06-10 03:31:30,048 INFO] Epoch:1, Snapshot: 6; Loss: 0.7326
+[2024-06-10 03:31:32,029 INFO] Epoch:1, Snapshot: 7; Loss: 0.7361
+[2024-06-10 03:31:34,412 INFO] Epoch:1, Snapshot: 8; Loss: 0.7215
+[2024-06-10 03:31:36,452 INFO] Epoch:1, Snapshot: 9; Loss: 0.7210
+[2024-06-10 03:31:38,513 INFO] Epoch:1, Snapshot: 10; Loss: 0.7141
+[2024-06-10 03:31:40,743 INFO] Epoch:1, Snapshot: 11; Loss: 0.7151
+[2024-06-10 03:31:42,679 INFO] Epoch:1, Snapshot: 12; Loss: 0.7087
+[2024-06-10 03:31:44,698 INFO] Epoch:1, Snapshot: 13; Loss: 0.7180
+[2024-06-10 03:31:46,589 INFO] Epoch:1, Snapshot: 14; Loss: 0.7179
+[2024-06-10 03:31:48,487 INFO] Epoch:1, Snapshot: 15; Loss: 0.7087
+[2024-06-10 03:31:50,791 INFO] Epoch:1, Snapshot: 16; Loss: 0.8827
+[2024-06-10 03:31:53,312 INFO] Epoch:1, Snapshot: 17; Loss: 0.8541
+[2024-06-10 03:31:55,942 INFO] Epoch:1, Snapshot: 18; Loss: 0.8702
+[2024-06-10 03:32:30,791 INFO] ==========================================================================================
+[2024-06-10 03:32:30,791 INFO] Epoch:1, Loss: 0.7490, Time: 77.247, GPU: 1217.0MiB
+[2024-06-10 03:32:30,805 INFO] Epoch:1, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1825.4014, time: 827.9314
+[2024-06-10 03:32:32,641 INFO] Epoch:2, Snapshot: 0; Loss: 0.8112
+[2024-06-10 03:32:35,237 INFO] Epoch:2, Snapshot: 1; Loss: 0.7164
+[2024-06-10 03:32:38,377 INFO] Epoch:2, Snapshot: 2; Loss: 0.7098
+[2024-06-10 03:32:41,072 INFO] Epoch:2, Snapshot: 3; Loss: 0.7162
+[2024-06-10 03:32:43,760 INFO] Epoch:2, Snapshot: 4; Loss: 0.7147
+[2024-06-10 03:32:45,970 INFO] Epoch:2, Snapshot: 5; Loss: 0.7138
+[2024-06-10 03:32:48,086 INFO] Epoch:2, Snapshot: 6; Loss: 0.8655
+[2024-06-10 03:32:50,795 INFO] Epoch:2, Snapshot: 7; Loss: 0.8568
+[2024-06-10 03:32:53,888 INFO] Epoch:2, Snapshot: 8; Loss: 0.7360
+[2024-06-10 03:32:56,858 INFO] Epoch:2, Snapshot: 9; Loss: 0.7362
+[2024-06-10 03:32:59,280 INFO] Epoch:2, Snapshot: 10; Loss: 0.7134
+[2024-06-10 03:33:02,141 INFO] Epoch:2, Snapshot: 11; Loss: 0.7110
+[2024-06-10 03:33:04,846 INFO] Epoch:2, Snapshot: 12; Loss: 0.7079
+[2024-06-10 03:33:07,236 INFO] Epoch:2, Snapshot: 13; Loss: 0.7018
+[2024-06-10 03:33:10,176 INFO] Epoch:2, Snapshot: 14; Loss: 0.7708
+[2024-06-10 03:33:12,993 INFO] Epoch:2, Snapshot: 15; Loss: 0.7513
+[2024-06-10 03:33:15,665 INFO] Epoch:2, Snapshot: 16; Loss: 0.7104
+[2024-06-10 03:33:18,144 INFO] Epoch:2, Snapshot: 17; Loss: 0.8517
+[2024-06-10 03:33:20,505 INFO] Epoch:2, Snapshot: 18; Loss: 0.8263
+[2024-06-10 03:33:55,430 INFO] ==========================================================================================
+[2024-06-10 03:33:55,430 INFO] Epoch:2, Loss: 0.7537, Time: 84.625, GPU: 1885.5MiB
+[2024-06-10 03:33:55,430 INFO] Epoch:2, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1885.4851, time: 837.3519
+[2024-06-10 03:33:57,540 INFO] Epoch:3, Snapshot: 0; Loss: 0.8435
+[2024-06-10 03:33:59,774 INFO] Epoch:3, Snapshot: 1; Loss: 0.7268
+[2024-06-10 03:34:02,713 INFO] Epoch:3, Snapshot: 2; Loss: 0.7073
+[2024-06-10 03:34:05,104 INFO] Epoch:3, Snapshot: 3; Loss: 0.7066
+[2024-06-10 03:34:07,746 INFO] Epoch:3, Snapshot: 4; Loss: 0.7050
+[2024-06-10 03:34:10,278 INFO] Epoch:3, Snapshot: 5; Loss: 0.7091
+[2024-06-10 03:34:13,436 INFO] Epoch:3, Snapshot: 6; Loss: 0.8431
+[2024-06-10 03:34:16,531 INFO] Epoch:3, Snapshot: 7; Loss: 0.8075
+[2024-06-10 03:34:19,033 INFO] Epoch:3, Snapshot: 8; Loss: 0.7133
+[2024-06-10 03:34:21,850 INFO] Epoch:3, Snapshot: 9; Loss: 0.7127
+[2024-06-10 03:34:24,458 INFO] Epoch:3, Snapshot: 10; Loss: 0.7091
+[2024-06-10 03:34:27,319 INFO] Epoch:3, Snapshot: 11; Loss: 0.7085
+[2024-06-10 03:34:30,101 INFO] Epoch:3, Snapshot: 12; Loss: 0.7185
+[2024-06-10 03:34:32,968 INFO] Epoch:3, Snapshot: 13; Loss: 0.7127
+[2024-06-10 03:34:35,687 INFO] Epoch:3, Snapshot: 14; Loss: 0.7001
+[2024-06-10 03:34:38,387 INFO] Epoch:3, Snapshot: 15; Loss: 0.7163
+[2024-06-10 03:34:40,606 INFO] Epoch:3, Snapshot: 16; Loss: 0.7176
+[2024-06-10 03:34:43,262 INFO] Epoch:3, Snapshot: 17; Loss: 0.7074
+[2024-06-10 03:34:45,810 INFO] Epoch:3, Snapshot: 18; Loss: 0.7013
+[2024-06-10 03:35:21,108 INFO] ==========================================================================================
+[2024-06-10 03:35:21,108 INFO] Epoch:3, Loss: 0.7298, Time: 85.678, GPU: 1885.5MiB
+[2024-06-10 03:35:21,108 INFO] Epoch:3, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1885.6750, time: 857.8332
+[2024-06-10 03:35:23,204 INFO] Epoch:4, Snapshot: 0; Loss: 0.7505
+[2024-06-10 03:35:25,783 INFO] Epoch:4, Snapshot: 1; Loss: 0.7156
+[2024-06-10 03:35:29,034 INFO] Epoch:4, Snapshot: 2; Loss: 0.7122
+[2024-06-10 03:35:31,754 INFO] Epoch:4, Snapshot: 3; Loss: 0.7160
+[2024-06-10 03:35:34,350 INFO] Epoch:4, Snapshot: 4; Loss: 0.7009
+[2024-06-10 03:35:37,366 INFO] Epoch:4, Snapshot: 5; Loss: 0.7076
+[2024-06-10 03:35:40,383 INFO] Epoch:4, Snapshot: 6; Loss: 0.7213
+[2024-06-10 03:35:43,759 INFO] Epoch:4, Snapshot: 7; Loss: 0.7241
+[2024-06-10 03:35:46,385 INFO] Epoch:4, Snapshot: 8; Loss: 0.7106
+[2024-06-10 03:35:49,136 INFO] Epoch:4, Snapshot: 9; Loss: 0.7093
+[2024-06-10 03:35:51,449 INFO] Epoch:4, Snapshot: 10; Loss: 0.7151
+[2024-06-10 03:35:54,793 INFO] Epoch:4, Snapshot: 11; Loss: 0.7152
+[2024-06-10 03:35:57,281 INFO] Epoch:4, Snapshot: 12; Loss: 0.8005
+[2024-06-10 03:35:59,718 INFO] Epoch:4, Snapshot: 13; Loss: 0.7711
+[2024-06-10 03:36:02,596 INFO] Epoch:4, Snapshot: 14; Loss: 0.6978
+[2024-06-10 03:36:05,096 INFO] Epoch:4, Snapshot: 15; Loss: 0.7033
+[2024-06-10 03:36:07,441 INFO] Epoch:4, Snapshot: 16; Loss: 0.7127
+[2024-06-10 03:36:10,037 INFO] Epoch:4, Snapshot: 17; Loss: 0.7165
+[2024-06-10 03:36:12,990 INFO] Epoch:4, Snapshot: 18; Loss: 0.6999
+[2024-06-10 03:36:47,110 INFO] ==========================================================================================
+[2024-06-10 03:36:47,110 INFO] Epoch:4, Loss: 0.7211, Time: 86.002, GPU: 1886.4MiB
+[2024-06-10 03:36:47,110 INFO] Epoch:4, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 798.7461
+[2024-06-10 03:36:49,287 INFO] Epoch:5, Snapshot: 0; Loss: 0.7494
+[2024-06-10 03:36:51,753 INFO] Epoch:5, Snapshot: 1; Loss: 0.7074
+[2024-06-10 03:36:54,394 INFO] Epoch:5, Snapshot: 2; Loss: 0.7081
+[2024-06-10 03:36:56,801 INFO] Epoch:5, Snapshot: 3; Loss: 0.6958
+[2024-06-10 03:36:59,522 INFO] Epoch:5, Snapshot: 4; Loss: 0.6957
+[2024-06-10 03:37:02,303 INFO] Epoch:5, Snapshot: 5; Loss: 0.7010
+[2024-06-10 03:37:05,117 INFO] Epoch:5, Snapshot: 6; Loss: 0.7152
+[2024-06-10 03:37:07,695 INFO] Epoch:5, Snapshot: 7; Loss: 0.7067
+[2024-06-10 03:37:10,493 INFO] Epoch:5, Snapshot: 8; Loss: 0.7159
+[2024-06-10 03:37:13,276 INFO] Epoch:5, Snapshot: 9; Loss: 0.7144
+[2024-06-10 03:37:16,012 INFO] Epoch:5, Snapshot: 10; Loss: 0.7017
+[2024-06-10 03:37:18,579 INFO] Epoch:5, Snapshot: 11; Loss: 0.7034
+[2024-06-10 03:37:21,466 INFO] Epoch:5, Snapshot: 12; Loss: 0.6988
+[2024-06-10 03:37:24,483 INFO] Epoch:5, Snapshot: 13; Loss: 0.6965
+[2024-06-10 03:37:27,422 INFO] Epoch:5, Snapshot: 14; Loss: 0.7027
+[2024-06-10 03:37:30,297 INFO] Epoch:5, Snapshot: 15; Loss: 0.7066
+[2024-06-10 03:37:32,642 INFO] Epoch:5, Snapshot: 16; Loss: 0.7020
+[2024-06-10 03:37:35,440 INFO] Epoch:5, Snapshot: 17; Loss: 0.6978
+[2024-06-10 03:37:37,597 INFO] Epoch:5, Snapshot: 18; Loss: 0.7803
+[2024-06-10 03:38:12,067 INFO] ==========================================================================================
+[2024-06-10 03:38:12,067 INFO] Epoch:5, Loss: 0.7105, Time: 84.957, GPU: 1886.4MiB
+[2024-06-10 03:38:12,067 INFO] Epoch:5, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 801.2527
+[2024-06-10 03:38:14,582 INFO] Epoch:6, Snapshot: 0; Loss: 0.7473
+[2024-06-10 03:38:17,505 INFO] Epoch:6, Snapshot: 1; Loss: 0.7116
+[2024-06-10 03:38:20,115 INFO] Epoch:6, Snapshot: 2; Loss: 0.8499
+[2024-06-10 03:38:22,553 INFO] Epoch:6, Snapshot: 3; Loss: 0.7566
+[2024-06-10 03:38:25,304 INFO] Epoch:6, Snapshot: 4; Loss: 0.6991
+[2024-06-10 03:38:27,884 INFO] Epoch:6, Snapshot: 5; Loss: 0.7053
+[2024-06-10 03:38:30,901 INFO] Epoch:6, Snapshot: 6; Loss: 0.7022
+[2024-06-10 03:38:34,011 INFO] Epoch:6, Snapshot: 7; Loss: 0.7061
+[2024-06-10 03:38:36,668 INFO] Epoch:6, Snapshot: 8; Loss: 0.7048
+[2024-06-10 03:38:39,357 INFO] Epoch:6, Snapshot: 9; Loss: 0.7063
+[2024-06-10 03:38:41,984 INFO] Epoch:6, Snapshot: 10; Loss: 0.7032
+[2024-06-10 03:38:44,892 INFO] Epoch:6, Snapshot: 11; Loss: 0.7037
+[2024-06-10 03:38:47,611 INFO] Epoch:6, Snapshot: 12; Loss: 0.7732
+[2024-06-10 03:38:50,566 INFO] Epoch:6, Snapshot: 13; Loss: 0.7004
+[2024-06-10 03:38:53,187 INFO] Epoch:6, Snapshot: 14; Loss: 0.7582
+[2024-06-10 03:38:56,048 INFO] Epoch:6, Snapshot: 15; Loss: 0.6960
+[2024-06-10 03:38:58,377 INFO] Epoch:6, Snapshot: 16; Loss: 0.7009
+[2024-06-10 03:39:01,020 INFO] Epoch:6, Snapshot: 17; Loss: 0.7618
+[2024-06-10 03:39:03,537 INFO] Epoch:6, Snapshot: 18; Loss: 0.7430
+[2024-06-10 03:39:36,810 INFO] ==========================================================================================
+[2024-06-10 03:39:36,810 INFO] Epoch:6, Loss: 0.7279, Time: 84.743, GPU: 1886.4MiB
+[2024-06-10 03:39:36,810 INFO] Epoch:6, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 761.6477
+[2024-06-10 03:39:39,171 INFO] Epoch:7, Snapshot: 0; Loss: 0.7384
+[2024-06-10 03:39:41,828 INFO] Epoch:7, Snapshot: 1; Loss: 0.7021
+[2024-06-10 03:39:44,392 INFO] Epoch:7, Snapshot: 2; Loss: 0.6978
+[2024-06-10 03:39:46,846 INFO] Epoch:7, Snapshot: 3; Loss: 0.6957
+[2024-06-10 03:39:49,270 INFO] Epoch:7, Snapshot: 4; Loss: 0.6954
+[2024-06-10 03:39:52,021 INFO] Epoch:7, Snapshot: 5; Loss: 0.7018
+[2024-06-10 03:39:54,835 INFO] Epoch:7, Snapshot: 6; Loss: 0.7006
+[2024-06-10 03:39:57,945 INFO] Epoch:7, Snapshot: 7; Loss: 0.7051
+[2024-06-10 03:40:00,478 INFO] Epoch:7, Snapshot: 8; Loss: 0.7023
+[2024-06-10 03:40:03,261 INFO] Epoch:7, Snapshot: 9; Loss: 0.7019
+[2024-06-10 03:40:06,059 INFO] Epoch:7, Snapshot: 10; Loss: 0.6983
+[2024-06-10 03:40:09,217 INFO] Epoch:7, Snapshot: 11; Loss: 0.6994
+[2024-06-10 03:40:12,282 INFO] Epoch:7, Snapshot: 12; Loss: 0.6964
+[2024-06-10 03:40:15,125 INFO] Epoch:7, Snapshot: 13; Loss: 0.6945
+[2024-06-10 03:40:17,703 INFO] Epoch:7, Snapshot: 14; Loss: 0.6929
+[2024-06-10 03:40:20,017 INFO] Epoch:7, Snapshot: 15; Loss: 0.6950
+[2024-06-10 03:40:22,393 INFO] Epoch:7, Snapshot: 16; Loss: 0.6992
+[2024-06-10 03:40:24,723 INFO] Epoch:7, Snapshot: 17; Loss: 0.6958
+[2024-06-10 03:40:27,568 INFO] Epoch:7, Snapshot: 18; Loss: 0.6952
+[2024-06-10 03:41:02,722 INFO] ==========================================================================================
+[2024-06-10 03:41:02,722 INFO] Epoch:7, Loss: 0.7004, Time: 85.912, GPU: 1886.4MiB
+[2024-06-10 03:41:02,722 INFO] Epoch:7, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 842.1120
+[2024-06-10 03:41:05,098 INFO] Epoch:8, Snapshot: 0; Loss: 0.7313
+[2024-06-10 03:41:07,146 INFO] Epoch:8, Snapshot: 1; Loss: 0.7517
+[2024-06-10 03:41:09,661 INFO] Epoch:8, Snapshot: 2; Loss: 0.7387
+[2024-06-10 03:41:12,194 INFO] Epoch:8, Snapshot: 3; Loss: 0.6973
+[2024-06-10 03:41:14,898 INFO] Epoch:8, Snapshot: 4; Loss: 0.6941
+[2024-06-10 03:41:18,056 INFO] Epoch:8, Snapshot: 5; Loss: 0.6999
+[2024-06-10 03:41:21,151 INFO] Epoch:8, Snapshot: 6; Loss: 0.7487
+[2024-06-10 03:41:24,089 INFO] Epoch:8, Snapshot: 7; Loss: 0.7399
+[2024-06-10 03:41:26,481 INFO] Epoch:8, Snapshot: 8; Loss: 0.7011
+[2024-06-10 03:41:29,092 INFO] Epoch:8, Snapshot: 9; Loss: 0.7006
+[2024-06-10 03:41:31,561 INFO] Epoch:8, Snapshot: 10; Loss: 0.6979
+[2024-06-10 03:41:34,672 INFO] Epoch:8, Snapshot: 11; Loss: 0.6987
+[2024-06-10 03:41:37,267 INFO] Epoch:8, Snapshot: 12; Loss: 0.6958
+[2024-06-10 03:41:40,190 INFO] Epoch:8, Snapshot: 13; Loss: 0.6934
+[2024-06-10 03:41:43,019 INFO] Epoch:8, Snapshot: 14; Loss: 0.6939
+[2024-06-10 03:41:45,114 INFO] Epoch:8, Snapshot: 15; Loss: 0.6941
+[2024-06-10 03:41:47,474 INFO] Epoch:8, Snapshot: 16; Loss: 0.7048
+[2024-06-10 03:41:50,100 INFO] Epoch:8, Snapshot: 17; Loss: 0.7020
+[2024-06-10 03:41:52,883 INFO] Epoch:8, Snapshot: 18; Loss: 0.6947
+[2024-06-10 03:42:27,944 INFO] ==========================================================================================
+[2024-06-10 03:42:27,944 INFO] Epoch:8, Loss: 0.7094, Time: 85.222, GPU: 1886.4MiB
+[2024-06-10 03:42:27,944 INFO] Epoch:8, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 832.3051
+[2024-06-10 03:42:29,944 INFO] Epoch:9, Snapshot: 0; Loss: 0.7260
+[2024-06-10 03:42:32,899 INFO] Epoch:9, Snapshot: 1; Loss: 0.6995
+[2024-06-10 03:42:35,228 INFO] Epoch:9, Snapshot: 2; Loss: 0.7009
+[2024-06-10 03:42:37,761 INFO] Epoch:9, Snapshot: 3; Loss: 0.7035
+[2024-06-10 03:42:40,450 INFO] Epoch:9, Snapshot: 4; Loss: 0.6936
+[2024-06-10 03:42:43,045 INFO] Epoch:9, Snapshot: 5; Loss: 0.7079
+[2024-06-10 03:42:46,046 INFO] Epoch:9, Snapshot: 6; Loss: 0.7088
+[2024-06-10 03:42:48,970 INFO] Epoch:9, Snapshot: 7; Loss: 0.6994
+[2024-06-10 03:42:51,845 INFO] Epoch:9, Snapshot: 8; Loss: 0.7016
+[2024-06-10 03:42:54,644 INFO] Epoch:9, Snapshot: 9; Loss: 0.6988
+[2024-06-10 03:42:57,207 INFO] Epoch:9, Snapshot: 10; Loss: 0.6981
+[2024-06-10 03:42:59,927 INFO] Epoch:9, Snapshot: 11; Loss: 0.6984
+[2024-06-10 03:43:02,616 INFO] Epoch:9, Snapshot: 12; Loss: 0.6965
+[2024-06-10 03:43:05,117 INFO] Epoch:9, Snapshot: 13; Loss: 0.6931
+[2024-06-10 03:43:07,743 INFO] Epoch:9, Snapshot: 14; Loss: 0.6918
+[2024-06-10 03:43:10,276 INFO] Epoch:9, Snapshot: 15; Loss: 0.6938
+[2024-06-10 03:43:12,479 INFO] Epoch:9, Snapshot: 16; Loss: 0.6970
+[2024-06-10 03:43:14,793 INFO] Epoch:9, Snapshot: 17; Loss: 0.6941
+[2024-06-10 03:43:17,685 INFO] Epoch:9, Snapshot: 18; Loss: 0.6937
+[2024-06-10 03:43:53,264 INFO] ==========================================================================================
+[2024-06-10 03:43:53,264 INFO] Epoch:9, Loss: 0.6998, Time: 85.320, GPU: 1886.4MiB
+[2024-06-10 03:43:53,264 INFO] Epoch:9, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 863.6819
+[2024-06-10 03:43:55,155 INFO] Epoch:10, Snapshot: 0; Loss: 0.7249
+[2024-06-10 03:43:57,984 INFO] Epoch:10, Snapshot: 1; Loss: 0.6993
+[2024-06-10 03:44:00,547 INFO] Epoch:10, Snapshot: 2; Loss: 0.7011
+[2024-06-10 03:44:03,080 INFO] Epoch:10, Snapshot: 3; Loss: 0.7021
+[2024-06-10 03:44:05,878 INFO] Epoch:10, Snapshot: 4; Loss: 0.6925
+[2024-06-10 03:44:08,911 INFO] Epoch:10, Snapshot: 5; Loss: 0.6958
+[2024-06-10 03:44:11,678 INFO] Epoch:10, Snapshot: 6; Loss: 0.6963
+[2024-06-10 03:44:14,210 INFO] Epoch:10, Snapshot: 7; Loss: 0.6977
+[2024-06-10 03:44:17,290 INFO] Epoch:10, Snapshot: 8; Loss: 0.6980
+[2024-06-10 03:44:20,198 INFO] Epoch:10, Snapshot: 9; Loss: 0.6968
+[2024-06-10 03:44:22,793 INFO] Epoch:10, Snapshot: 10; Loss: 0.6954
+[2024-06-10 03:44:25,481 INFO] Epoch:10, Snapshot: 11; Loss: 0.7366
+[2024-06-10 03:44:28,341 INFO] Epoch:10, Snapshot: 12; Loss: 0.7308
+[2024-06-10 03:44:31,421 INFO] Epoch:10, Snapshot: 13; Loss: 0.6924
+[2024-06-10 03:44:33,640 INFO] Epoch:10, Snapshot: 14; Loss: 0.6910
+[2024-06-10 03:44:36,406 INFO] Epoch:10, Snapshot: 15; Loss: 0.6930
+[2024-06-10 03:44:38,736 INFO] Epoch:10, Snapshot: 16; Loss: 0.6961
+[2024-06-10 03:44:41,471 INFO] Epoch:10, Snapshot: 17; Loss: 0.6946
+[2024-06-10 03:44:44,612 INFO] Epoch:10, Snapshot: 18; Loss: 0.6943
+[2024-06-10 03:45:20,393 INFO] ==========================================================================================
+[2024-06-10 03:45:20,393 INFO] Epoch:10, Loss: 0.7015, Time: 87.129, GPU: 1886.4MiB
+[2024-06-10 03:45:20,393 INFO] Epoch:10, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 882.8421
+[2024-06-10 03:45:22,878 INFO] Epoch:11, Snapshot: 0; Loss: 0.7200
+[2024-06-10 03:45:25,332 INFO] Epoch:11, Snapshot: 1; Loss: 0.7282
+[2024-06-10 03:45:27,865 INFO] Epoch:11, Snapshot: 2; Loss: 0.7031
+[2024-06-10 03:45:30,460 INFO] Epoch:11, Snapshot: 3; Loss: 0.6985
+[2024-06-10 03:45:33,524 INFO] Epoch:11, Snapshot: 4; Loss: 0.7294
+[2024-06-10 03:45:36,542 INFO] Epoch:11, Snapshot: 5; Loss: 0.7199
+[2024-06-10 03:45:39,653 INFO] Epoch:11, Snapshot: 6; Loss: 0.6966
+[2024-06-10 03:45:42,327 INFO] Epoch:11, Snapshot: 7; Loss: 0.6978
+[2024-06-10 03:45:44,718 INFO] Epoch:11, Snapshot: 8; Loss: 0.7379
+[2024-06-10 03:45:47,423 INFO] Epoch:11, Snapshot: 9; Loss: 0.7193
+[2024-06-10 03:45:50,034 INFO] Epoch:11, Snapshot: 10; Loss: 0.6957
+[2024-06-10 03:45:52,662 INFO] Epoch:11, Snapshot: 11; Loss: 0.6955
+[2024-06-10 03:45:55,523 INFO] Epoch:11, Snapshot: 12; Loss: 0.7280
+[2024-06-10 03:45:58,306 INFO] Epoch:11, Snapshot: 13; Loss: 0.7134
+[2024-06-10 03:46:00,994 INFO] Epoch:11, Snapshot: 14; Loss: 0.6916
+[2024-06-10 03:46:03,385 INFO] Epoch:11, Snapshot: 15; Loss: 0.6926
+[2024-06-10 03:46:05,512 INFO] Epoch:11, Snapshot: 16; Loss: 0.6958
+[2024-06-10 03:46:08,152 INFO] Epoch:11, Snapshot: 17; Loss: 0.6940
+[2024-06-10 03:46:10,952 INFO] Epoch:11, Snapshot: 18; Loss: 0.6936
+[2024-06-10 03:46:47,202 INFO] ==========================================================================================
+[2024-06-10 03:46:47,202 INFO] Epoch:11, Loss: 0.7079, Time: 86.809, GPU: 1886.4MiB
+[2024-06-10 03:46:47,202 INFO] Epoch:11, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 899.2630
+[2024-06-10 03:46:49,360 INFO] Epoch:12, Snapshot: 0; Loss: 0.7183
+[2024-06-10 03:46:51,970 INFO] Epoch:12, Snapshot: 1; Loss: 0.7197
+[2024-06-10 03:46:54,658 INFO] Epoch:12, Snapshot: 2; Loss: 0.7103
+[2024-06-10 03:46:56,832 INFO] Epoch:12, Snapshot: 3; Loss: 0.7108
+[2024-06-10 03:46:59,911 INFO] Epoch:12, Snapshot: 4; Loss: 0.7086
+[2024-06-10 03:47:02,591 INFO] Epoch:12, Snapshot: 5; Loss: 0.6957
+[2024-06-10 03:47:05,610 INFO] Epoch:12, Snapshot: 6; Loss: 0.6955
+[2024-06-10 03:47:08,420 INFO] Epoch:12, Snapshot: 7; Loss: 0.6975
+[2024-06-10 03:47:11,481 INFO] Epoch:12, Snapshot: 8; Loss: 0.6972
+[2024-06-10 03:47:14,423 INFO] Epoch:12, Snapshot: 9; Loss: 0.6970
+[2024-06-10 03:47:17,644 INFO] Epoch:12, Snapshot: 10; Loss: 0.6946
+[2024-06-10 03:47:20,474 INFO] Epoch:12, Snapshot: 11; Loss: 0.7008
+[2024-06-10 03:47:23,178 INFO] Epoch:12, Snapshot: 12; Loss: 0.7000
+[2024-06-10 03:47:25,726 INFO] Epoch:12, Snapshot: 13; Loss: 0.6924
+[2024-06-10 03:47:28,228 INFO] Epoch:12, Snapshot: 14; Loss: 0.6974
+[2024-06-10 03:47:30,494 INFO] Epoch:12, Snapshot: 15; Loss: 0.7307
+[2024-06-10 03:47:33,200 INFO] Epoch:12, Snapshot: 16; Loss: 0.7089
+[2024-06-10 03:47:35,966 INFO] Epoch:12, Snapshot: 17; Loss: 0.6933
+[2024-06-10 03:47:38,826 INFO] Epoch:12, Snapshot: 18; Loss: 0.6927
+[2024-06-10 03:48:13,620 INFO] ==========================================================================================
+[2024-06-10 03:48:13,620 INFO] Epoch:12, Loss: 0.7032, Time: 86.417, GPU: 1886.4MiB
+[2024-06-10 03:48:13,620 INFO] Epoch:12, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 822.5405
+[2024-06-10 03:48:15,370 INFO] Epoch:13, Snapshot: 0; Loss: 0.7152
+[2024-06-10 03:48:17,872 INFO] Epoch:13, Snapshot: 1; Loss: 0.7009
+[2024-06-10 03:48:20,342 INFO] Epoch:13, Snapshot: 2; Loss: 0.7011
+[2024-06-10 03:48:22,999 INFO] Epoch:13, Snapshot: 3; Loss: 0.6928
+[2024-06-10 03:48:26,001 INFO] Epoch:13, Snapshot: 4; Loss: 0.7022
+[2024-06-10 03:48:29,080 INFO] Epoch:13, Snapshot: 5; Loss: 0.7047
+[2024-06-10 03:48:31,378 INFO] Epoch:13, Snapshot: 6; Loss: 0.6956
+[2024-06-10 03:48:33,519 INFO] Epoch:13, Snapshot: 7; Loss: 0.6966
+[2024-06-10 03:48:36,256 INFO] Epoch:13, Snapshot: 8; Loss: 0.6973
+[2024-06-10 03:48:38,913 INFO] Epoch:13, Snapshot: 9; Loss: 0.6967
+[2024-06-10 03:48:42,070 INFO] Epoch:13, Snapshot: 10; Loss: 0.7007
+[2024-06-10 03:48:45,088 INFO] Epoch:13, Snapshot: 11; Loss: 0.7001
+[2024-06-10 03:48:47,917 INFO] Epoch:13, Snapshot: 12; Loss: 0.7041
+[2024-06-10 03:48:50,496 INFO] Epoch:13, Snapshot: 13; Loss: 0.6993
+[2024-06-10 03:48:52,969 INFO] Epoch:13, Snapshot: 14; Loss: 0.6914
+[2024-06-10 03:48:55,391 INFO] Epoch:13, Snapshot: 15; Loss: 0.7032
+[2024-06-10 03:48:57,876 INFO] Epoch:13, Snapshot: 16; Loss: 0.7025
+[2024-06-10 03:49:00,705 INFO] Epoch:13, Snapshot: 17; Loss: 0.6930
+[2024-06-10 03:49:03,337 INFO] Epoch:13, Snapshot: 18; Loss: 0.6927
+[2024-06-10 03:49:39,143 INFO] ==========================================================================================
+[2024-06-10 03:49:39,143 INFO] Epoch:13, Loss: 0.6995, Time: 85.523, GPU: 1886.4MiB
+[2024-06-10 03:49:39,143 INFO] Epoch:13, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 903.4670
+[2024-06-10 03:49:41,049 INFO] Epoch:14, Snapshot: 0; Loss: 0.7141
+[2024-06-10 03:49:43,442 INFO] Epoch:14, Snapshot: 1; Loss: 0.6960
+[2024-06-10 03:49:46,069 INFO] Epoch:14, Snapshot: 2; Loss: 0.6935
+[2024-06-10 03:49:48,710 INFO] Epoch:14, Snapshot: 3; Loss: 0.6926
+[2024-06-10 03:49:51,863 INFO] Epoch:14, Snapshot: 4; Loss: 0.6921
+[2024-06-10 03:49:54,962 INFO] Epoch:14, Snapshot: 5; Loss: 0.6944
+[2024-06-10 03:49:57,588 INFO] Epoch:14, Snapshot: 6; Loss: 0.7043
+[2024-06-10 03:50:00,387 INFO] Epoch:14, Snapshot: 7; Loss: 0.7024
+[2024-06-10 03:50:03,357 INFO] Epoch:14, Snapshot: 8; Loss: 0.6960
+[2024-06-10 03:50:06,764 INFO] Epoch:14, Snapshot: 9; Loss: 0.6958
+[2024-06-10 03:50:09,594 INFO] Epoch:14, Snapshot: 10; Loss: 0.6941
+[2024-06-10 03:50:12,595 INFO] Epoch:14, Snapshot: 11; Loss: 0.6946
+[2024-06-10 03:50:14,862 INFO] Epoch:14, Snapshot: 12; Loss: 0.6932
+[2024-06-10 03:50:17,410 INFO] Epoch:14, Snapshot: 13; Loss: 0.6920
+[2024-06-10 03:50:20,021 INFO] Epoch:14, Snapshot: 14; Loss: 0.6911
+[2024-06-10 03:50:22,725 INFO] Epoch:14, Snapshot: 15; Loss: 0.6920
+[2024-06-10 03:50:25,604 INFO] Epoch:14, Snapshot: 16; Loss: 0.6945
+[2024-06-10 03:50:28,711 INFO] Epoch:14, Snapshot: 17; Loss: 0.6927
+[2024-06-10 03:50:31,353 INFO] Epoch:14, Snapshot: 18; Loss: 0.6923
+[2024-06-10 03:51:06,008 INFO] ==========================================================================================
+[2024-06-10 03:51:06,008 INFO] Epoch:14, Loss: 0.6957, Time: 86.865, GPU: 1886.4MiB
+[2024-06-10 03:51:06,008 INFO] Epoch:14, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 821.7800
+[2024-06-10 03:51:07,938 INFO] Epoch:15, Snapshot: 0; Loss: 0.7138
+[2024-06-10 03:51:10,181 INFO] Epoch:15, Snapshot: 1; Loss: 0.6985
+[2024-06-10 03:51:12,652 INFO] Epoch:15, Snapshot: 2; Loss: 0.6980
+[2024-06-10 03:51:15,148 INFO] Epoch:15, Snapshot: 3; Loss: 0.6920
+[2024-06-10 03:51:17,964 INFO] Epoch:15, Snapshot: 4; Loss: 0.6913
+[2024-06-10 03:51:20,044 INFO] Epoch:15, Snapshot: 5; Loss: 0.6938
+[2024-06-10 03:51:21,982 INFO] Epoch:15, Snapshot: 6; Loss: 0.6941
+[2024-06-10 03:51:55,953 INFO] fixed random seed
+[2024-06-10 03:51:57,912 INFO] Epoch:1, Snapshot: 0; Loss: 0.7867
+[2024-06-10 03:51:59,522 INFO] Epoch:1, Snapshot: 1; Loss: 0.8023
+[2024-06-10 03:52:01,335 INFO] Epoch:1, Snapshot: 2; Loss: 0.7109
+[2024-06-10 03:52:03,777 INFO] Epoch:1, Snapshot: 3; Loss: 0.7368
+[2024-06-10 03:52:06,340 INFO] Epoch:1, Snapshot: 4; Loss: 0.7192
+[2024-06-10 03:52:08,596 INFO] Epoch:1, Snapshot: 5; Loss: 0.6983
+[2024-06-10 03:52:11,169 INFO] Epoch:1, Snapshot: 6; Loss: 0.7194
+[2024-06-10 03:52:14,137 INFO] Epoch:1, Snapshot: 7; Loss: 0.7136
+[2024-06-10 03:52:16,733 INFO] Epoch:1, Snapshot: 8; Loss: 0.6956
+[2024-06-10 03:52:20,064 INFO] Epoch:1, Snapshot: 9; Loss: 0.6965
+[2024-06-10 03:52:22,768 INFO] Epoch:1, Snapshot: 10; Loss: 0.6966
+[2024-06-10 03:52:25,629 INFO] Epoch:1, Snapshot: 11; Loss: 0.6956
+[2024-06-10 03:52:27,942 INFO] Epoch:1, Snapshot: 12; Loss: 0.6972
+[2024-06-10 03:52:31,021 INFO] Epoch:1, Snapshot: 13; Loss: 0.7239
+[2024-06-10 03:52:34,053 INFO] Epoch:1, Snapshot: 14; Loss: 0.7181
+[2024-06-10 03:52:36,570 INFO] Epoch:1, Snapshot: 15; Loss: 0.7585
+[2024-06-10 03:52:38,680 INFO] Epoch:1, Snapshot: 16; Loss: 0.7459
+[2024-06-10 03:52:41,275 INFO] Epoch:1, Snapshot: 17; Loss: 0.7189
+[2024-06-10 03:52:43,901 INFO] Epoch:1, Snapshot: 18; Loss: 0.7203
+[2024-06-10 03:53:18,992 INFO] ==========================================================================================
+[2024-06-10 03:53:18,992 INFO] Epoch:1, Loss: 0.7239, Time: 83.039, GPU: 1217.0MiB
+[2024-06-10 03:53:18,992 INFO] Epoch:1, Accuracy: 0.4931; F1: 0.0000; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, Memory: 1825.4014, time: 835.7050
+[2024-06-10 03:53:21,181 INFO] Epoch:2, Snapshot: 0; Loss: 0.9781
+[2024-06-10 03:53:23,900 INFO] Epoch:2, Snapshot: 1; Loss: 0.7087
+[2024-06-10 03:53:26,449 INFO] Epoch:2, Snapshot: 2; Loss: 0.7037
+[2024-06-10 03:53:28,956 INFO] Epoch:2, Snapshot: 3; Loss: 0.7229
+[2024-06-10 03:53:31,739 INFO] Epoch:2, Snapshot: 4; Loss: 0.7198
+[2024-06-10 03:53:34,566 INFO] Epoch:2, Snapshot: 5; Loss: 0.6974
+[2024-06-10 03:53:37,334 INFO] Epoch:2, Snapshot: 6; Loss: 0.7273
+[2024-06-10 03:53:40,193 INFO] Epoch:2, Snapshot: 7; Loss: 0.7216
+[2024-06-10 03:53:43,058 INFO] Epoch:2, Snapshot: 8; Loss: 0.7267
+[2024-06-10 03:53:46,036 INFO] Epoch:2, Snapshot: 9; Loss: 0.7118
+[2024-06-10 03:53:48,470 INFO] Epoch:2, Snapshot: 10; Loss: 0.7612
+[2024-06-10 03:53:51,389 INFO] Epoch:2, Snapshot: 11; Loss: 0.7141
+[2024-06-10 03:53:53,879 INFO] Epoch:2, Snapshot: 12; Loss: 0.7296
+[2024-06-10 03:53:56,279 INFO] Epoch:2, Snapshot: 13; Loss: 0.7050
+[2024-06-10 03:53:59,164 INFO] Epoch:2, Snapshot: 14; Loss: 0.8814
+[2024-06-10 03:54:01,831 INFO] Epoch:2, Snapshot: 15; Loss: 0.8276
+[2024-06-10 03:54:04,168 INFO] Epoch:2, Snapshot: 16; Loss: 0.6975
+[2024-06-10 03:54:06,921 INFO] Epoch:2, Snapshot: 17; Loss: 0.7237
+[2024-06-10 03:54:09,119 INFO] Epoch:2, Snapshot: 18; Loss: 0.7323
+[2024-06-10 03:54:45,505 INFO] ==========================================================================================
+[2024-06-10 03:54:45,505 INFO] Epoch:2, Loss: 0.7469, Time: 86.513, GPU: 1885.5MiB
+[2024-06-10 03:54:45,505 INFO] Epoch:2, Accuracy: 0.4931; F1: 0.0000; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, Memory: 1885.4851, time: 894.0561
+[2024-06-10 03:54:47,757 INFO] Epoch:3, Snapshot: 0; Loss: 0.9843
+[2024-06-10 03:54:50,519 INFO] Epoch:3, Snapshot: 1; Loss: 0.7201
+[2024-06-10 03:54:53,479 INFO] Epoch:3, Snapshot: 2; Loss: 0.6996
+[2024-06-10 03:54:56,072 INFO] Epoch:3, Snapshot: 3; Loss: 0.7581
+[2024-06-10 03:54:58,754 INFO] Epoch:3, Snapshot: 4; Loss: 0.7212
+[2024-06-10 03:55:01,409 INFO] Epoch:3, Snapshot: 5; Loss: 0.6967
+[2024-06-10 03:55:04,594 INFO] Epoch:3, Snapshot: 6; Loss: 0.7226
+[2024-06-10 03:55:07,725 INFO] Epoch:3, Snapshot: 7; Loss: 0.7255
+[2024-06-10 03:55:10,603 INFO] Epoch:3, Snapshot: 8; Loss: 0.6957
+[2024-06-10 03:55:12,997 INFO] Epoch:3, Snapshot: 9; Loss: 0.6951
+[2024-06-10 03:55:15,741 INFO] Epoch:3, Snapshot: 10; Loss: 0.6966
+[2024-06-10 03:55:18,682 INFO] Epoch:3, Snapshot: 11; Loss: 0.6951
+[2024-06-10 03:55:21,421 INFO] Epoch:3, Snapshot: 12; Loss: 0.7211
+[2024-06-10 03:55:24,442 INFO] Epoch:3, Snapshot: 13; Loss: 0.7171
+[2024-06-10 03:55:27,438 INFO] Epoch:3, Snapshot: 14; Loss: 0.7593
+[2024-06-10 03:55:29,434 INFO] Epoch:3, Snapshot: 15; Loss: 0.7806
+[2024-06-10 03:55:31,588 INFO] Epoch:3, Snapshot: 16; Loss: 0.7326
+[2024-06-10 03:55:34,137 INFO] Epoch:3, Snapshot: 17; Loss: 0.7791
+[2024-06-10 03:55:36,753 INFO] Epoch:3, Snapshot: 18; Loss: 0.7098
+[2024-06-10 03:56:08,502 INFO] ==========================================================================================
+[2024-06-10 03:56:08,502 INFO] Epoch:3, Loss: 0.7374, Time: 82.997, GPU: 1885.5MiB
+[2024-06-10 03:56:08,502 INFO] Epoch:3, Accuracy: 0.4931; F1: 0.0000; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, Memory: 1885.6750, time: 687.8719
+[2024-06-10 03:56:10,596 INFO] Epoch:4, Snapshot: 0; Loss: 0.7839
+[2024-06-10 03:56:13,027 INFO] Epoch:4, Snapshot: 1; Loss: 0.7930
+[2024-06-10 03:56:15,348 INFO] Epoch:4, Snapshot: 2; Loss: 0.7530
+[2024-06-10 03:56:17,377 INFO] Epoch:4, Snapshot: 3; Loss: 0.7138
+[2024-06-10 03:56:19,535 INFO] Epoch:4, Snapshot: 4; Loss: 0.6993
+[2024-06-10 03:56:21,785 INFO] Epoch:4, Snapshot: 5; Loss: 0.7001
+[2024-06-10 03:56:24,059 INFO] Epoch:4, Snapshot: 6; Loss: 0.7200
+[2024-06-10 03:56:26,355 INFO] Epoch:4, Snapshot: 7; Loss: 0.7113
+[2024-06-10 03:56:29,281 INFO] Epoch:4, Snapshot: 8; Loss: 0.6939
+[2024-06-10 03:56:31,716 INFO] Epoch:4, Snapshot: 9; Loss: 0.6960
+[2024-06-10 03:56:34,356 INFO] Epoch:4, Snapshot: 10; Loss: 0.7237
+[2024-06-10 03:56:36,577 INFO] Epoch:4, Snapshot: 11; Loss: 0.7136
+[2024-06-10 03:56:38,803 INFO] Epoch:4, Snapshot: 12; Loss: 0.7333
+[2024-06-10 03:56:41,229 INFO] Epoch:4, Snapshot: 13; Loss: 0.8035
+[2024-06-10 03:56:44,075 INFO] Epoch:4, Snapshot: 14; Loss: 0.7382
+[2024-06-10 03:56:46,765 INFO] Epoch:4, Snapshot: 15; Loss: 0.8450
+[2024-06-10 03:56:49,296 INFO] Epoch:4, Snapshot: 16; Loss: 0.8410
+[2024-06-10 03:56:51,774 INFO] Epoch:4, Snapshot: 17; Loss: 0.7415
+[2024-06-10 03:56:54,392 INFO] Epoch:4, Snapshot: 18; Loss: 0.7424
+[2024-06-10 03:57:30,912 INFO] ==========================================================================================
+[2024-06-10 03:57:30,912 INFO] Epoch:4, Loss: 0.7446, Time: 82.410, GPU: 1886.4MiB
+[2024-06-10 03:57:30,913 INFO] Epoch:4, Accuracy: 0.4931; F1: 0.0000; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, Memory: 1886.3872, time: 921.6595
+[2024-06-10 03:57:33,318 INFO] Epoch:5, Snapshot: 0; Loss: 0.9679
+[2024-06-10 03:57:35,426 INFO] Epoch:5, Snapshot: 1; Loss: 0.7085
+[2024-06-10 03:57:37,280 INFO] Epoch:5, Snapshot: 2; Loss: 0.7428
+[2024-06-10 03:57:39,289 INFO] Epoch:5, Snapshot: 3; Loss: 0.7003
+[2024-06-10 03:57:41,980 INFO] Epoch:5, Snapshot: 4; Loss: 0.7014
+[2024-06-10 03:57:45,100 INFO] Epoch:5, Snapshot: 5; Loss: 0.6995
+[2024-06-10 03:57:48,000 INFO] Epoch:5, Snapshot: 6; Loss: 0.7192
+[2024-06-10 03:57:50,049 INFO] Epoch:5, Snapshot: 7; Loss: 0.7534
+[2024-06-10 03:57:52,721 INFO] Epoch:5, Snapshot: 8; Loss: 0.7365
+[2024-06-10 03:57:55,464 INFO] Epoch:5, Snapshot: 9; Loss: 0.7271
+[2024-06-10 03:57:58,084 INFO] Epoch:5, Snapshot: 10; Loss: 0.7377
+[2024-06-10 03:58:00,637 INFO] Epoch:5, Snapshot: 11; Loss: 0.6954
+[2024-06-10 03:58:02,697 INFO] Epoch:5, Snapshot: 12; Loss: 0.7003
+[2024-06-10 03:58:04,899 INFO] Epoch:5, Snapshot: 13; Loss: 0.6977
+[2024-06-10 03:58:07,308 INFO] Epoch:5, Snapshot: 14; Loss: 0.7214
+[2024-06-10 03:58:09,501 INFO] Epoch:5, Snapshot: 15; Loss: 0.7176
+[2024-06-10 03:58:11,450 INFO] Epoch:5, Snapshot: 16; Loss: 0.6966
+[2024-06-10 03:58:13,518 INFO] Epoch:5, Snapshot: 17; Loss: 0.6993
+[2024-06-10 03:58:15,514 INFO] Epoch:5, Snapshot: 18; Loss: 0.7228
+[2024-06-10 03:58:51,748 INFO] ==========================================================================================
+[2024-06-10 03:58:51,748 INFO] Epoch:5, Loss: 0.7287, Time: 80.836, GPU: 1886.4MiB
+[2024-06-10 03:58:51,748 INFO] Epoch:5, Accuracy: 0.4931; F1: 0.0000; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, Memory: 1886.3872, time: 905.8539
+[2024-06-10 03:58:54,132 INFO] Epoch:6, Snapshot: 0; Loss: 0.9594
+[2024-06-10 03:58:56,867 INFO] Epoch:6, Snapshot: 1; Loss: 0.7488
+[2024-06-10 15:44:38,323 INFO] fixed random seed
+[2024-06-10 15:44:45,845 INFO] Epoch:1, Snapshot: 0; Loss: 1.6226
+[2024-06-10 15:44:51,334 INFO] Epoch:1, Snapshot: 1; Loss: 1.6185
+[2024-06-10 15:45:00,513 INFO] Epoch:1, Snapshot: 2; Loss: 1.0002
+[2024-06-10 15:45:07,541 INFO] Epoch:1, Snapshot: 3; Loss: 0.7871
+[2024-06-10 15:45:13,832 INFO] Epoch:1, Snapshot: 4; Loss: 0.7612
+[2024-06-10 15:45:18,318 INFO] Epoch:1, Snapshot: 5; Loss: 0.7475
+[2024-06-10 15:45:24,839 INFO] Epoch:1, Snapshot: 6; Loss: 0.7459
+[2024-06-10 15:45:31,687 INFO] Epoch:1, Snapshot: 7; Loss: 0.7565
+[2024-06-10 15:45:38,253 INFO] Epoch:1, Snapshot: 8; Loss: 0.7793
+[2024-06-10 15:45:44,971 INFO] Epoch:1, Snapshot: 9; Loss: 0.7330
+[2024-06-10 15:45:51,349 INFO] Epoch:1, Snapshot: 10; Loss: 0.7249
+[2024-06-10 15:45:57,879 INFO] Epoch:1, Snapshot: 11; Loss: 0.7388
+[2024-06-10 15:46:04,079 INFO] Epoch:1, Snapshot: 12; Loss: 0.7310
+[2024-06-10 15:46:10,860 INFO] Epoch:1, Snapshot: 13; Loss: 0.7285
+[2024-06-10 15:46:19,080 INFO] Epoch:1, Snapshot: 14; Loss: 0.7277
+[2024-06-10 15:46:26,548 INFO] Epoch:1, Snapshot: 15; Loss: 0.7198
+[2024-06-10 15:46:32,562 INFO] Epoch:1, Snapshot: 16; Loss: 0.7065
+[2024-06-10 15:46:39,188 INFO] Epoch:1, Snapshot: 17; Loss: 0.7187
+[2024-06-10 15:46:45,562 INFO] Epoch:1, Snapshot: 18; Loss: 0.7164
+[2024-06-10 15:48:36,736 INFO] ==========================================================================================
+[2024-06-10 15:48:36,736 INFO] Epoch:1, Loss: 0.8455, Time: 238.413, GPU: 1290.2MiB
+[2024-06-10 15:48:36,736 INFO] Epoch:1, Accuracy: 0.7023; F1: 0.5235; Recall: 0.5802; Precision: 0.5944; ROC AUC: 0.7081, Memory: 2091.5640, time: 4866.3560
+[2024-06-10 15:48:42,117 INFO] Epoch:2, Snapshot: 0; Loss: 0.8662
+[2024-06-10 15:48:47,678 INFO] Epoch:2, Snapshot: 1; Loss: 0.7159
+[2024-06-10 15:48:53,918 INFO] Epoch:2, Snapshot: 2; Loss: 0.7013
+[2024-06-10 15:49:00,324 INFO] Epoch:2, Snapshot: 3; Loss: 0.6978
+[2024-06-10 15:49:06,910 INFO] Epoch:2, Snapshot: 4; Loss: 0.6964
+[2024-06-10 15:49:13,447 INFO] Epoch:2, Snapshot: 5; Loss: 0.7031
+[2024-06-10 15:49:19,696 INFO] Epoch:2, Snapshot: 6; Loss: 0.6994
+[2024-06-10 15:49:26,249 INFO] Epoch:2, Snapshot: 7; Loss: 0.6968
+[2024-06-10 15:49:32,507 INFO] Epoch:2, Snapshot: 8; Loss: 0.6972
+[2024-06-10 15:49:39,080 INFO] Epoch:2, Snapshot: 9; Loss: 0.6967
+[2024-06-10 15:49:45,530 INFO] Epoch:2, Snapshot: 10; Loss: 0.6957
+[2024-06-10 15:49:52,064 INFO] Epoch:2, Snapshot: 11; Loss: 0.6951
+[2024-06-10 15:49:58,114 INFO] Epoch:2, Snapshot: 12; Loss: 0.6951
+[2024-06-10 15:50:04,517 INFO] Epoch:2, Snapshot: 13; Loss: 0.6931
+[2024-06-10 15:50:10,875 INFO] Epoch:2, Snapshot: 14; Loss: 0.6948
+[2024-06-10 15:50:16,996 INFO] Epoch:2, Snapshot: 15; Loss: 0.6945
+[2024-06-10 15:50:22,756 INFO] Epoch:2, Snapshot: 16; Loss: 0.6948
+[2024-06-10 15:50:29,121 INFO] Epoch:2, Snapshot: 17; Loss: 0.6949
+[2024-06-10 15:50:35,235 INFO] Epoch:2, Snapshot: 18; Loss: 0.6950
+[2024-06-10 15:52:17,454 INFO] ==========================================================================================
+[2024-06-10 15:52:17,454 INFO] Epoch:2, Loss: 0.7065, Time: 220.718, GPU: 2169.8MiB
+[2024-06-10 15:52:17,454 INFO] Epoch:2, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 2169.8324, time: 4414.3737
+[2024-06-10 15:52:22,725 INFO] Epoch:3, Snapshot: 0; Loss: 0.8535
+[2024-06-10 15:52:28,524 INFO] Epoch:3, Snapshot: 1; Loss: 0.6949
+[2024-06-10 15:52:34,685 INFO] Epoch:3, Snapshot: 2; Loss: 0.6937
+[2024-06-10 15:52:41,001 INFO] Epoch:3, Snapshot: 3; Loss: 0.6944
+[2024-06-10 15:52:47,131 INFO] Epoch:3, Snapshot: 4; Loss: 0.6930
+[2024-06-10 15:52:53,746 INFO] Epoch:3, Snapshot: 5; Loss: 0.6937
+[2024-06-10 15:53:01,677 INFO] Epoch:3, Snapshot: 6; Loss: 0.6940
+[2024-06-10 15:53:08,505 INFO] Epoch:3, Snapshot: 7; Loss: 0.6953
+[2024-06-10 15:53:15,353 INFO] Epoch:3, Snapshot: 8; Loss: 0.6962
+[2024-06-10 15:53:21,732 INFO] Epoch:3, Snapshot: 9; Loss: 0.6951
+[2024-06-10 15:53:28,521 INFO] Epoch:3, Snapshot: 10; Loss: 0.6939
+[2024-06-10 15:53:35,348 INFO] Epoch:3, Snapshot: 11; Loss: 0.6948
+[2024-06-10 15:53:41,619 INFO] Epoch:3, Snapshot: 12; Loss: 0.6942
+[2024-06-10 15:53:48,252 INFO] Epoch:3, Snapshot: 13; Loss: 0.6951
+[2024-06-10 15:53:54,925 INFO] Epoch:3, Snapshot: 14; Loss: 0.6950
+[2024-06-10 15:54:01,505 INFO] Epoch:3, Snapshot: 15; Loss: 0.6940
+[2024-06-10 15:54:07,784 INFO] Epoch:3, Snapshot: 16; Loss: 0.6946
+[2024-06-10 15:54:13,874 INFO] Epoch:3, Snapshot: 17; Loss: 0.6939
+[2024-06-10 15:54:20,535 INFO] Epoch:3, Snapshot: 18; Loss: 0.6944
+[2024-06-10 15:56:12,125 INFO] ==========================================================================================
+[2024-06-10 15:56:12,125 INFO] Epoch:3, Loss: 0.7028, Time: 234.671, GPU: 2169.8MiB
+[2024-06-10 15:56:12,125 INFO] Epoch:3, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 2169.8324, time: 4900.7369
+[2024-06-10 15:56:18,008 INFO] Epoch:4, Snapshot: 0; Loss: 0.8510
+[2024-06-10 15:56:23,648 INFO] Epoch:4, Snapshot: 1; Loss: 0.6943
+[2024-06-10 15:56:30,107 INFO] Epoch:4, Snapshot: 2; Loss: 0.6939
+[2024-06-10 15:56:36,221 INFO] Epoch:4, Snapshot: 3; Loss: 0.6945
+[2024-06-10 15:56:43,011 INFO] Epoch:4, Snapshot: 4; Loss: 0.6938
+[2024-06-10 15:56:49,764 INFO] Epoch:4, Snapshot: 5; Loss: 0.6944
+[2024-06-10 15:56:56,600 INFO] Epoch:4, Snapshot: 6; Loss: 0.6964
+[2024-06-10 15:57:03,620 INFO] Epoch:4, Snapshot: 7; Loss: 0.6952
+[2024-06-10 15:57:10,488 INFO] Epoch:4, Snapshot: 8; Loss: 0.6968
+[2024-06-10 15:57:16,757 INFO] Epoch:4, Snapshot: 9; Loss: 0.6956
+[2024-06-10 15:57:22,917 INFO] Epoch:4, Snapshot: 10; Loss: 0.6948
+[2024-06-10 15:57:29,127 INFO] Epoch:4, Snapshot: 11; Loss: 0.6949
+[2024-06-10 15:57:35,083 INFO] Epoch:4, Snapshot: 12; Loss: 0.6941
+[2024-06-10 15:57:41,479 INFO] Epoch:4, Snapshot: 13; Loss: 0.6941
+[2024-06-10 15:57:47,875 INFO] Epoch:4, Snapshot: 14; Loss: 0.6944
+[2024-06-10 15:57:54,379 INFO] Epoch:4, Snapshot: 15; Loss: 0.6939
+[2024-06-10 15:58:00,760 INFO] Epoch:4, Snapshot: 16; Loss: 0.6941
+[2024-06-10 15:58:07,553 INFO] Epoch:4, Snapshot: 17; Loss: 0.6939
+[2024-06-10 15:58:14,130 INFO] Epoch:4, Snapshot: 18; Loss: 0.6946
+[2024-06-10 16:00:08,754 INFO] ==========================================================================================
+[2024-06-10 16:00:08,754 INFO] Epoch:4, Loss: 0.7029, Time: 236.630, GPU: 2169.8MiB
+[2024-06-10 16:00:08,755 INFO] Epoch:4, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 2169.8324, time: 5063.2748
+[2024-06-10 16:00:14,565 INFO] Epoch:5, Snapshot: 0; Loss: 0.8502
+[2024-06-10 16:00:21,113 INFO] Epoch:5, Snapshot: 1; Loss: 0.6940
+[2024-06-10 16:00:27,802 INFO] Epoch:5, Snapshot: 2; Loss: 0.6939
+[2024-06-10 16:00:33,398 INFO] Epoch:5, Snapshot: 3; Loss: 0.6944
+[2024-06-10 16:00:41,769 INFO] Epoch:5, Snapshot: 4; Loss: 0.6940
+[2024-06-10 16:00:48,602 INFO] Epoch:5, Snapshot: 5; Loss: 0.6946
+[2024-06-10 16:00:54,807 INFO] Epoch:5, Snapshot: 6; Loss: 0.6946
+[2024-06-10 16:01:01,549 INFO] Epoch:5, Snapshot: 7; Loss: 0.6946
+[2024-06-10 16:01:06,880 INFO] Epoch:5, Snapshot: 8; Loss: 0.6947
+[2024-06-10 16:01:13,201 INFO] Epoch:5, Snapshot: 9; Loss: 0.6945
+[2024-06-10 16:01:19,768 INFO] Epoch:5, Snapshot: 10; Loss: 0.6940
+[2024-06-10 16:01:26,414 INFO] Epoch:5, Snapshot: 11; Loss: 0.6942
+[2024-06-10 16:01:32,396 INFO] Epoch:5, Snapshot: 12; Loss: 0.6933
+[2024-06-10 16:01:38,643 INFO] Epoch:5, Snapshot: 13; Loss: 0.6932
+[2024-06-10 16:01:44,713 INFO] Epoch:5, Snapshot: 14; Loss: 0.6933
+[2024-06-10 16:01:50,863 INFO] Epoch:5, Snapshot: 15; Loss: 0.6937
+[2024-06-10 16:01:57,128 INFO] Epoch:5, Snapshot: 16; Loss: 0.6939
+[2024-06-10 16:02:03,503 INFO] Epoch:5, Snapshot: 17; Loss: 0.6935
+[2024-06-10 16:02:09,975 INFO] Epoch:5, Snapshot: 18; Loss: 0.6933
+[2024-06-10 16:03:56,615 INFO] ==========================================================================================
+[2024-06-10 16:03:56,615 INFO] Epoch:5, Loss: 0.7022, Time: 227.860, GPU: 2169.8MiB
+[2024-06-10 16:03:56,615 INFO] Epoch:5, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 2169.8324, time: 4641.9080
+[2024-06-10 16:04:02,090 INFO] Epoch:6, Snapshot: 0; Loss: 0.8506
+[2024-06-10 16:04:08,331 INFO] Epoch:6, Snapshot: 1; Loss: 0.6947
+[2024-06-10 16:04:14,676 INFO] Epoch:6, Snapshot: 2; Loss: 0.6936
+[2024-06-10 16:04:29,387 INFO] fixed random seed
+[2024-06-10 16:04:33,861 INFO] Epoch:1, Snapshot: 0; Loss: 1.5472
+[2024-06-10 16:04:40,462 INFO] Epoch:1, Snapshot: 1; Loss: 17.2077
+[2024-06-10 16:04:46,851 INFO] Epoch:1, Snapshot: 2; Loss: 19.6744
+[2024-06-10 16:04:53,277 INFO] Epoch:1, Snapshot: 3; Loss: 6.0268
+[2024-06-10 16:04:59,922 INFO] Epoch:1, Snapshot: 4; Loss: 1.7085
+[2024-06-10 16:05:06,075 INFO] Epoch:1, Snapshot: 5; Loss: 1.7647
+[2024-06-10 16:05:12,397 INFO] Epoch:1, Snapshot: 6; Loss: 2.3912
+[2024-06-10 16:05:18,934 INFO] Epoch:1, Snapshot: 7; Loss: 2.3562
+[2024-06-10 16:05:25,031 INFO] Epoch:1, Snapshot: 8; Loss: 1.2376
+[2024-06-10 16:05:31,643 INFO] Epoch:1, Snapshot: 9; Loss: 1.6150
+[2024-06-10 16:05:38,262 INFO] Epoch:1, Snapshot: 10; Loss: 1.1960
+[2024-06-10 16:05:44,936 INFO] Epoch:1, Snapshot: 11; Loss: 0.8407
+[2024-06-10 16:05:51,006 INFO] Epoch:1, Snapshot: 12; Loss: 0.8641
+[2024-06-10 16:05:57,291 INFO] Epoch:1, Snapshot: 13; Loss: 1.0045
+[2024-06-10 16:06:03,485 INFO] Epoch:1, Snapshot: 14; Loss: 1.1047
+[2024-06-10 16:06:09,363 INFO] Epoch:1, Snapshot: 15; Loss: 1.7507
+[2024-06-10 16:06:15,227 INFO] Epoch:1, Snapshot: 16; Loss: 0.9794
+[2024-06-10 16:06:21,624 INFO] Epoch:1, Snapshot: 17; Loss: 0.8582
+[2024-06-10 16:06:28,037 INFO] Epoch:1, Snapshot: 18; Loss: 0.9115
+[2024-06-10 16:08:09,229 INFO] ==========================================================================================
+[2024-06-10 16:08:09,229 INFO] Epoch:1, Loss: 3.4231, Time: 219.842, GPU: 1290.2MiB
+[2024-06-10 16:08:09,229 INFO] Epoch:1, Accuracy: 0.5649; F1: 0.5600; Recall: 0.7464; Precision: 0.5289; ROC AUC: 0.5631, Memory: 2091.5640, time: 4365.4331
+[2024-06-10 16:08:14,204 INFO] Epoch:2, Snapshot: 0; Loss: 0.9541
+[2024-06-10 16:08:19,784 INFO] Epoch:2, Snapshot: 1; Loss: 0.8414
+[2024-06-10 16:08:26,148 INFO] Epoch:2, Snapshot: 2; Loss: 0.8365
+[2024-06-10 16:08:32,482 INFO] Epoch:2, Snapshot: 3; Loss: 0.7972
+[2024-06-10 16:08:38,534 INFO] Epoch:2, Snapshot: 4; Loss: 1.1154
+[2024-06-10 16:08:44,833 INFO] Epoch:2, Snapshot: 5; Loss: 1.2187
+[2024-06-10 16:08:51,368 INFO] Epoch:2, Snapshot: 6; Loss: 1.1517
+[2024-06-10 16:08:57,954 INFO] Epoch:2, Snapshot: 7; Loss: 0.8649
+[2024-06-10 16:09:04,564 INFO] Epoch:2, Snapshot: 8; Loss: 1.8685
+[2024-06-10 16:09:11,117 INFO] Epoch:2, Snapshot: 9; Loss: 0.9700
+[2024-06-10 16:09:17,467 INFO] Epoch:2, Snapshot: 10; Loss: 1.0092
+[2024-06-10 16:09:23,627 INFO] Epoch:2, Snapshot: 11; Loss: 0.8085
+[2024-06-10 16:09:29,615 INFO] Epoch:2, Snapshot: 12; Loss: 0.7869
+[2024-06-10 16:09:35,604 INFO] Epoch:2, Snapshot: 13; Loss: 0.8489
+[2024-06-10 16:09:41,639 INFO] Epoch:2, Snapshot: 14; Loss: 1.1947
+[2024-06-10 16:09:47,532 INFO] Epoch:2, Snapshot: 15; Loss: 0.9322
+[2024-06-10 16:09:53,398 INFO] Epoch:2, Snapshot: 16; Loss: 0.8007
+[2024-06-10 16:09:59,464 INFO] Epoch:2, Snapshot: 17; Loss: 1.0407
+[2024-06-10 16:10:05,436 INFO] Epoch:2, Snapshot: 18; Loss: 0.8753
+[2024-06-10 16:11:48,288 INFO] ==========================================================================================
+[2024-06-10 16:11:48,288 INFO] Epoch:2, Loss: 0.9955, Time: 219.058, GPU: 2169.8MiB
+[2024-06-10 16:11:48,288 INFO] Epoch:2, Accuracy: 0.5988; F1: 0.6119; Recall: 0.6583; Precision: 0.5920; ROC AUC: 0.5984, Memory: 2169.8324, time: 4447.6692
+[2024-06-10 16:11:53,432 INFO] Epoch:3, Snapshot: 0; Loss: 0.8902
+[2024-06-10 16:11:58,921 INFO] Epoch:3, Snapshot: 1; Loss: 0.7532
+[2024-06-10 16:12:05,158 INFO] Epoch:3, Snapshot: 2; Loss: 0.8093
+[2024-06-10 16:12:11,203 INFO] Epoch:3, Snapshot: 3; Loss: 1.0578
+[2024-06-10 16:12:17,527 INFO] Epoch:3, Snapshot: 4; Loss: 0.6893
+[2024-06-10 16:12:24,049 INFO] Epoch:3, Snapshot: 5; Loss: 0.7951
+[2024-06-10 16:12:30,504 INFO] Epoch:3, Snapshot: 6; Loss: 0.7208
+[2024-06-10 16:12:37,136 INFO] Epoch:3, Snapshot: 7; Loss: 0.7203
+[2024-06-10 16:12:43,733 INFO] Epoch:3, Snapshot: 8; Loss: 0.7536
+[2024-06-10 16:12:50,463 INFO] Epoch:3, Snapshot: 9; Loss: 1.0574
+[2024-06-10 16:12:56,883 INFO] Epoch:3, Snapshot: 10; Loss: 0.7735
+[2024-06-10 16:13:03,451 INFO] Epoch:3, Snapshot: 11; Loss: 0.7991
+[2024-06-10 16:13:09,753 INFO] Epoch:3, Snapshot: 12; Loss: 0.7432
+[2024-06-10 16:13:15,711 INFO] Epoch:3, Snapshot: 13; Loss: 1.4634
+[2024-06-10 16:13:21,776 INFO] Epoch:3, Snapshot: 14; Loss: 1.2794
+[2024-06-10 16:13:27,465 INFO] Epoch:3, Snapshot: 15; Loss: 0.6992
+[2024-06-10 16:13:33,436 INFO] Epoch:3, Snapshot: 16; Loss: 0.7663
+[2024-06-10 16:13:39,614 INFO] Epoch:3, Snapshot: 17; Loss: 0.7101
+[2024-06-10 16:13:45,805 INFO] Epoch:3, Snapshot: 18; Loss: 0.7828
+[2024-06-10 16:15:24,671 INFO] ==========================================================================================
+[2024-06-10 16:15:24,671 INFO] Epoch:3, Loss: 0.8560, Time: 216.382, GPU: 2169.8MiB
+[2024-06-10 16:15:24,671 INFO] Epoch:3, Accuracy: 0.8234; F1: 0.7980; Recall: 0.8573; Precision: 0.7908; ROC AUC: 0.8233, Memory: 2169.8324, time: 4242.3567
+[2024-06-10 16:15:29,705 INFO] Epoch:4, Snapshot: 0; Loss: 0.9398
+[2024-06-10 16:15:35,336 INFO] Epoch:4, Snapshot: 1; Loss: 0.8625
+[2024-06-10 16:15:41,088 INFO] Epoch:4, Snapshot: 2; Loss: 0.7501
+[2024-06-10 16:15:47,093 INFO] Epoch:4, Snapshot: 3; Loss: 0.7712
+[2024-06-10 16:15:53,567 INFO] Epoch:4, Snapshot: 4; Loss: 0.7072
+[2024-06-10 16:16:00,197 INFO] Epoch:4, Snapshot: 5; Loss: 0.7459
+[2024-06-10 16:16:06,687 INFO] Epoch:4, Snapshot: 6; Loss: 0.7226
+[2024-06-10 16:16:13,060 INFO] Epoch:4, Snapshot: 7; Loss: 0.6484
+[2024-06-10 16:16:19,742 INFO] Epoch:4, Snapshot: 8; Loss: 0.6951
+[2024-06-10 16:16:26,323 INFO] Epoch:4, Snapshot: 9; Loss: 0.7683
+[2024-06-10 16:16:32,263 INFO] Epoch:4, Snapshot: 10; Loss: 0.8144
+[2024-06-10 16:16:38,692 INFO] Epoch:4, Snapshot: 11; Loss: 0.6610
+[2024-06-10 16:16:44,789 INFO] Epoch:4, Snapshot: 12; Loss: 0.7952
+[2024-06-10 16:16:50,995 INFO] Epoch:4, Snapshot: 13; Loss: 0.8382
+[2024-06-10 16:16:57,342 INFO] Epoch:4, Snapshot: 14; Loss: 0.7126
+[2024-06-10 16:17:03,398 INFO] Epoch:4, Snapshot: 15; Loss: 0.7347
+[2024-06-10 16:17:09,401 INFO] Epoch:4, Snapshot: 16; Loss: 0.7322
+[2024-06-10 16:17:15,794 INFO] Epoch:4, Snapshot: 17; Loss: 0.6244
+[2024-06-10 16:17:21,960 INFO] Epoch:4, Snapshot: 18; Loss: 0.5905
+[2024-06-10 16:18:59,822 INFO] ==========================================================================================
+[2024-06-10 16:18:59,822 INFO] Epoch:4, Loss: 0.7429, Time: 215.151, GPU: 2169.8MiB
+[2024-06-10 16:18:59,822 INFO] Epoch:4, Accuracy: 0.8839; F1: 0.7819; Recall: 0.7729; Precision: 0.8420; ROC AUC: 0.8864, Memory: 2169.8324, time: 4195.0461
+[2024-06-10 16:19:05,055 INFO] Epoch:5, Snapshot: 0; Loss: 0.8393
+[2024-06-10 16:19:10,733 INFO] Epoch:5, Snapshot: 1; Loss: 0.5821
+[2024-06-10 16:19:17,002 INFO] Epoch:5, Snapshot: 2; Loss: 0.6054
+[2024-06-10 16:19:23,147 INFO] Epoch:5, Snapshot: 3; Loss: 0.7837
+[2024-06-10 16:19:27,794 INFO] Epoch:5, Snapshot: 4; Loss: 0.7518
+[2024-06-10 16:19:34,188 INFO] Epoch:5, Snapshot: 5; Loss: 0.5717
+[2024-06-10 16:19:40,712 INFO] Epoch:5, Snapshot: 6; Loss: 0.7048
+[2024-06-10 16:19:47,370 INFO] Epoch:5, Snapshot: 7; Loss: 0.6562
+[2024-06-10 16:19:54,000 INFO] Epoch:5, Snapshot: 8; Loss: 0.7512
+[2024-06-10 16:20:00,470 INFO] Epoch:5, Snapshot: 9; Loss: 0.5928
+[2024-06-10 16:20:06,599 INFO] Epoch:5, Snapshot: 10; Loss: 0.7062
+[2024-06-10 16:20:13,105 INFO] Epoch:5, Snapshot: 11; Loss: 0.7530
+[2024-06-10 16:20:19,484 INFO] Epoch:5, Snapshot: 12; Loss: 0.6607
+[2024-06-10 16:20:25,908 INFO] Epoch:5, Snapshot: 13; Loss: 0.6240
+[2024-06-10 16:20:32,398 INFO] Epoch:5, Snapshot: 14; Loss: 0.7602
+[2024-06-10 16:20:38,386 INFO] Epoch:5, Snapshot: 15; Loss: 0.5876
+[2024-06-10 16:20:44,091 INFO] Epoch:5, Snapshot: 16; Loss: 0.6218
+[2024-06-10 16:20:50,487 INFO] Epoch:5, Snapshot: 17; Loss: 0.5956
+[2024-06-10 16:20:56,835 INFO] Epoch:5, Snapshot: 18; Loss: 0.5212
+[2024-06-10 16:22:37,137 INFO] ==========================================================================================
+[2024-06-10 16:22:37,137 INFO] Epoch:5, Loss: 0.6668, Time: 217.314, GPU: 2169.8MiB
+[2024-06-10 16:22:37,137 INFO] Epoch:5, Accuracy: 0.8794; F1: 0.7835; Recall: 0.7660; Precision: 0.8421; ROC AUC: 0.8829, Memory: 2169.8324, time: 4319.8290
+[2024-06-10 16:22:42,252 INFO] Epoch:6, Snapshot: 0; Loss: 0.8801
+[2024-06-10 16:22:47,614 INFO] Epoch:6, Snapshot: 1; Loss: 1.1987
+[2024-06-10 16:22:53,492 INFO] Epoch:6, Snapshot: 2; Loss: 0.7793
+[2024-06-10 16:22:59,810 INFO] Epoch:6, Snapshot: 3; Loss: 0.6504
+[2024-06-10 16:23:06,390 INFO] Epoch:6, Snapshot: 4; Loss: 0.6082
+[2024-06-10 16:23:12,366 INFO] Epoch:6, Snapshot: 5; Loss: 0.6692
+[2024-06-10 16:23:18,743 INFO] Epoch:6, Snapshot: 6; Loss: 0.5332
+[2024-06-10 16:23:25,172 INFO] Epoch:6, Snapshot: 7; Loss: 0.5899
+[2024-06-10 16:23:31,565 INFO] Epoch:6, Snapshot: 8; Loss: 0.6102
+[2024-06-10 16:23:37,476 INFO] Epoch:6, Snapshot: 9; Loss: 0.5405
+[2024-06-10 16:23:43,869 INFO] Epoch:6, Snapshot: 10; Loss: 0.6917
+[2024-06-10 16:23:50,454 INFO] Epoch:6, Snapshot: 11; Loss: 0.5986
+[2024-06-10 16:23:56,741 INFO] Epoch:6, Snapshot: 12; Loss: 0.8696
+[2024-06-10 16:24:02,855 INFO] Epoch:6, Snapshot: 13; Loss: 0.6082
+[2024-06-10 16:24:09,217 INFO] Epoch:6, Snapshot: 14; Loss: 0.6020
+[2024-06-10 16:24:15,283 INFO] Epoch:6, Snapshot: 15; Loss: 0.6324
+[2024-06-10 16:24:21,336 INFO] Epoch:6, Snapshot: 16; Loss: 0.8466
+[2024-06-10 16:24:27,528 INFO] Epoch:6, Snapshot: 17; Loss: 0.6307
+[2024-06-10 16:24:33,580 INFO] Epoch:6, Snapshot: 18; Loss: 0.5513
+[2024-06-10 16:26:16,070 INFO] ==========================================================================================
+[2024-06-10 16:26:16,070 INFO] Epoch:6, Loss: 0.6890, Time: 218.934, GPU: 2169.8MiB
+[2024-06-10 16:26:16,070 INFO] Epoch:6, Accuracy: 0.9416; F1: 0.9150; Recall: 0.8861; Precision: 0.9996; ROC AUC: 0.9429, Memory: 2169.8324, time: 4432.4783
+[2024-06-10 16:26:23,374 INFO] Epoch:7, Snapshot: 0; Loss: 0.7712
+[2024-06-10 16:26:29,269 INFO] Epoch:7, Snapshot: 1; Loss: 0.8444
+[2024-06-10 16:26:35,271 INFO] Epoch:7, Snapshot: 2; Loss: 0.8424
+[2024-06-10 16:26:41,308 INFO] Epoch:7, Snapshot: 3; Loss: 0.9036
+[2024-06-10 16:26:47,764 INFO] Epoch:7, Snapshot: 4; Loss: 0.7016
+[2024-06-10 16:26:54,297 INFO] Epoch:7, Snapshot: 5; Loss: 0.6751
+[2024-06-10 16:27:00,728 INFO] Epoch:7, Snapshot: 6; Loss: 0.5669
+[2024-06-10 16:27:07,133 INFO] Epoch:7, Snapshot: 7; Loss: 0.6238
+[2024-06-10 16:27:13,226 INFO] Epoch:7, Snapshot: 8; Loss: 0.8275
+[2024-06-10 16:27:19,801 INFO] Epoch:7, Snapshot: 9; Loss: 0.5269
+[2024-06-10 16:27:26,320 INFO] Epoch:7, Snapshot: 10; Loss: 0.6874
+[2024-06-10 16:27:33,012 INFO] Epoch:7, Snapshot: 11; Loss: 0.6479
+[2024-06-10 16:27:39,315 INFO] Epoch:7, Snapshot: 12; Loss: 0.7020
+[2024-06-10 16:27:45,225 INFO] Epoch:7, Snapshot: 13; Loss: 0.7074
+[2024-06-10 16:27:51,496 INFO] Epoch:7, Snapshot: 14; Loss: 0.5741
+[2024-06-10 16:27:56,731 INFO] Epoch:7, Snapshot: 15; Loss: 0.5592
+[2024-06-10 16:28:02,503 INFO] Epoch:7, Snapshot: 16; Loss: 0.6436
+[2024-06-10 16:28:08,161 INFO] Epoch:7, Snapshot: 17; Loss: 0.5731
+[2024-06-10 16:28:14,399 INFO] Epoch:7, Snapshot: 18; Loss: 0.5043
+[2024-06-10 16:29:59,815 INFO] ==========================================================================================
+[2024-06-10 16:29:59,815 INFO] Epoch:7, Loss: 0.6780, Time: 223.745, GPU: 2169.8MiB
+[2024-06-10 16:29:59,815 INFO] Epoch:7, Accuracy: 0.8865; F1: 0.8014; Recall: 0.7781; Precision: 0.8946; ROC AUC: 0.8889, Memory: 2169.8324, time: 4592.9289
+[2024-06-10 16:30:05,112 INFO] Epoch:8, Snapshot: 0; Loss: 0.7741
+[2024-06-10 16:30:10,287 INFO] Epoch:8, Snapshot: 1; Loss: 0.6008
+[2024-06-10 16:30:16,121 INFO] Epoch:8, Snapshot: 2; Loss: 0.5824
+[2024-06-10 16:30:22,360 INFO] Epoch:8, Snapshot: 3; Loss: 0.7414
+[2024-06-10 16:30:28,773 INFO] Epoch:8, Snapshot: 4; Loss: 0.6853
+[2024-06-10 16:30:35,339 INFO] Epoch:8, Snapshot: 5; Loss: 0.5776
+[2024-06-10 16:30:41,813 INFO] Epoch:8, Snapshot: 6; Loss: 0.5984
+[2024-06-10 16:30:48,211 INFO] Epoch:8, Snapshot: 7; Loss: 0.6025
+[2024-06-10 16:30:54,711 INFO] Epoch:8, Snapshot: 8; Loss: 0.6061
+[2024-06-10 16:31:01,390 INFO] Epoch:8, Snapshot: 9; Loss: 0.5338
+[2024-06-10 16:31:07,845 INFO] Epoch:8, Snapshot: 10; Loss: 0.7570
+[2024-06-10 16:31:13,990 INFO] Epoch:8, Snapshot: 11; Loss: 0.6660
+[2024-06-10 16:31:20,008 INFO] Epoch:8, Snapshot: 12; Loss: 0.7546
+[2024-06-10 16:31:26,027 INFO] Epoch:8, Snapshot: 13; Loss: 0.5632
+[2024-06-10 16:31:31,784 INFO] Epoch:8, Snapshot: 14; Loss: 0.5216
+[2024-06-10 16:31:37,635 INFO] Epoch:8, Snapshot: 15; Loss: 0.4773
+[2024-06-10 16:31:42,976 INFO] Epoch:8, Snapshot: 16; Loss: 0.6534
+[2024-06-10 16:31:49,041 INFO] Epoch:8, Snapshot: 17; Loss: 0.5753
+[2024-06-10 16:31:54,908 INFO] Epoch:8, Snapshot: 18; Loss: 0.6694
+[2024-06-10 16:33:31,080 INFO] ==========================================================================================
+[2024-06-10 16:33:31,080 INFO] Epoch:8, Loss: 0.6284, Time: 211.265, GPU: 2169.8MiB
+[2024-06-10 16:33:31,080 INFO] Epoch:8, Accuracy: 0.9576; F1: 0.9300; Recall: 0.9178; Precision: 0.9472; ROC AUC: 0.9588, Memory: 2169.8324, time: 4099.6779
+[2024-06-10 16:33:36,350 INFO] Epoch:9, Snapshot: 0; Loss: 0.7641
+[2024-06-10 16:33:41,919 INFO] Epoch:9, Snapshot: 1; Loss: 1.1890
+[2024-06-10 16:33:48,141 INFO] Epoch:9, Snapshot: 2; Loss: 0.6766
+[2024-06-10 16:33:54,383 INFO] Epoch:9, Snapshot: 3; Loss: 0.6687
+[2024-06-10 16:34:00,539 INFO] Epoch:9, Snapshot: 4; Loss: 0.6027
+[2024-06-10 16:34:07,202 INFO] Epoch:9, Snapshot: 5; Loss: 0.5404
+[2024-06-10 16:34:13,798 INFO] Epoch:9, Snapshot: 6; Loss: 0.5948
+[2024-06-10 16:34:20,209 INFO] Epoch:9, Snapshot: 7; Loss: 0.5914
+[2024-06-10 16:34:26,765 INFO] Epoch:9, Snapshot: 8; Loss: 0.5945
+[2024-06-10 16:34:32,999 INFO] Epoch:9, Snapshot: 9; Loss: 0.5564
+[2024-06-10 16:34:39,141 INFO] Epoch:9, Snapshot: 10; Loss: 0.6429
+[2024-06-10 16:34:45,663 INFO] Epoch:9, Snapshot: 11; Loss: 0.6999
+[2024-06-10 16:34:51,998 INFO] Epoch:9, Snapshot: 12; Loss: 0.6657
+[2024-06-10 16:34:58,423 INFO] Epoch:9, Snapshot: 13; Loss: 0.8508
+[2024-06-10 16:35:04,898 INFO] Epoch:9, Snapshot: 14; Loss: 0.6581
+[2024-06-10 16:35:10,948 INFO] Epoch:9, Snapshot: 15; Loss: 0.6501
+[2024-06-10 16:35:16,748 INFO] Epoch:9, Snapshot: 16; Loss: 0.6577
+[2024-06-10 16:35:21,379 INFO] Epoch:9, Snapshot: 17; Loss: 0.5667
+[2024-06-10 16:35:28,102 INFO] Epoch:9, Snapshot: 18; Loss: 0.5695
+[2024-06-10 16:37:11,166 INFO] ==========================================================================================
+[2024-06-10 16:37:11,166 INFO] Epoch:9, Loss: 0.6705, Time: 220.085, GPU: 2169.8MiB
+[2024-06-10 16:37:11,166 INFO] Epoch:9, Accuracy: 0.8512; F1: 0.7199; Recall: 0.7110; Precision: 0.7632; ROC AUC: 0.8554, Memory: 2169.8324, time: 4466.7609
+[2024-06-10 16:37:16,418 INFO] Epoch:10, Snapshot: 0; Loss: 0.8011
+[2024-06-10 16:37:22,330 INFO] Epoch:10, Snapshot: 1; Loss: 0.6619
+[2024-06-10 16:37:28,286 INFO] Epoch:10, Snapshot: 2; Loss: 0.6357
+[2024-06-10 16:37:34,702 INFO] Epoch:10, Snapshot: 3; Loss: 0.8633
+[2024-06-10 16:37:40,819 INFO] Epoch:10, Snapshot: 4; Loss: 0.9241
+[2024-06-10 16:37:47,394 INFO] Epoch:10, Snapshot: 5; Loss: 0.5594
+[2024-06-10 16:38:05,228 INFO] fixed random seed
+[2024-06-10 16:38:07,192 INFO] Epoch:1, Snapshot: 0; Loss: 1.2835
+[2024-06-10 16:38:08,817 INFO] Epoch:1, Snapshot: 1; Loss: 1.9196
+[2024-06-10 16:38:10,598 INFO] Epoch:1, Snapshot: 2; Loss: 0.8235
+[2024-06-10 16:38:12,411 INFO] Epoch:1, Snapshot: 3; Loss: 0.7480
+[2024-06-10 16:38:14,303 INFO] Epoch:1, Snapshot: 4; Loss: 0.7782
+[2024-06-10 16:38:16,243 INFO] Epoch:1, Snapshot: 5; Loss: 0.6919
+[2024-06-10 16:38:18,154 INFO] Epoch:1, Snapshot: 6; Loss: 0.7564
+[2024-06-10 16:38:19,982 INFO] Epoch:1, Snapshot: 7; Loss: 0.7320
+[2024-06-10 16:38:22,004 INFO] Epoch:1, Snapshot: 8; Loss: 0.7122
+[2024-06-10 16:38:24,137 INFO] Epoch:1, Snapshot: 9; Loss: 0.7109
+[2024-06-10 16:38:26,298 INFO] Epoch:1, Snapshot: 10; Loss: 0.7040
+[2024-06-10 16:38:28,523 INFO] Epoch:1, Snapshot: 11; Loss: 0.7033
+[2024-06-10 16:38:30,633 INFO] Epoch:1, Snapshot: 12; Loss: 0.6961
+[2024-06-10 16:38:32,754 INFO] Epoch:1, Snapshot: 13; Loss: 0.6928
+[2024-06-10 16:38:35,017 INFO] Epoch:1, Snapshot: 14; Loss: 0.6912
+[2024-06-10 16:38:37,149 INFO] Epoch:1, Snapshot: 15; Loss: 0.6923
+[2024-06-10 16:38:39,187 INFO] Epoch:1, Snapshot: 16; Loss: 0.6955
+[2024-06-10 16:38:41,180 INFO] Epoch:1, Snapshot: 17; Loss: 0.6948
+[2024-06-10 16:38:43,193 INFO] Epoch:1, Snapshot: 18; Loss: 0.6953
+[2024-06-10 16:39:15,968 INFO] ==========================================================================================
+[2024-06-10 16:39:15,968 INFO] Epoch:1, Loss: 0.8117, Time: 70.740, GPU: 1217.0MiB
+[2024-06-10 16:39:15,968 INFO] Epoch:1, Accuracy: 0.4931; F1: 0.0000; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, Memory: 1825.4014, time: 707.2571
+[2024-06-10 16:39:17,873 INFO] Epoch:2, Snapshot: 0; Loss: 0.7160
+[2024-06-10 16:39:19,761 INFO] Epoch:2, Snapshot: 1; Loss: 0.6935
+[2024-06-10 16:39:21,954 INFO] Epoch:2, Snapshot: 2; Loss: 0.6951
+[2024-06-10 16:39:24,436 INFO] Epoch:2, Snapshot: 3; Loss: 0.6952
+[2024-06-10 16:39:26,965 INFO] Epoch:2, Snapshot: 4; Loss: 0.6948
+[2024-06-10 16:39:29,164 INFO] Epoch:2, Snapshot: 5; Loss: 0.6932
+[2024-06-10 16:39:31,669 INFO] Epoch:2, Snapshot: 6; Loss: 0.6938
+[2024-06-10 16:39:34,286 INFO] Epoch:2, Snapshot: 7; Loss: 0.6939
+[2024-06-10 16:39:36,947 INFO] Epoch:2, Snapshot: 8; Loss: 0.6937
+[2024-06-10 16:39:39,580 INFO] Epoch:2, Snapshot: 9; Loss: 0.6938
+[2024-06-10 16:39:41,863 INFO] Epoch:2, Snapshot: 10; Loss: 0.6937
+[2024-06-10 16:39:44,400 INFO] Epoch:2, Snapshot: 11; Loss: 0.6934
+[2024-06-10 16:39:46,730 INFO] Epoch:2, Snapshot: 12; Loss: 0.6936
+[2024-06-10 16:39:49,126 INFO] Epoch:2, Snapshot: 13; Loss: 0.6925
+[2024-06-10 16:39:51,482 INFO] Epoch:2, Snapshot: 14; Loss: 0.7237
+[2024-06-10 16:39:53,619 INFO] Epoch:2, Snapshot: 15; Loss: 0.7424
+[2024-06-10 16:39:55,431 INFO] Epoch:2, Snapshot: 16; Loss: 0.6972
+[2024-06-10 16:39:57,626 INFO] Epoch:2, Snapshot: 17; Loss: 0.6936
+[2024-06-10 16:39:59,935 INFO] Epoch:2, Snapshot: 18; Loss: 0.6927
+[2024-06-10 16:40:33,563 INFO] ==========================================================================================
+[2024-06-10 16:40:33,563 INFO] Epoch:2, Loss: 0.6993, Time: 77.594, GPU: 1885.5MiB
+[2024-06-10 16:40:33,563 INFO] Epoch:2, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1885.4851, time: 786.3475
+[2024-06-10 16:40:35,633 INFO] Epoch:3, Snapshot: 0; Loss: 0.7174
+[2024-06-10 16:40:37,453 INFO] Epoch:3, Snapshot: 1; Loss: 0.6950
+[2024-06-10 16:40:39,452 INFO] Epoch:3, Snapshot: 2; Loss: 0.6931
+[2024-06-10 16:40:41,447 INFO] Epoch:3, Snapshot: 3; Loss: 0.6939
+[2024-06-10 16:40:43,597 INFO] Epoch:3, Snapshot: 4; Loss: 0.6936
+[2024-06-10 16:40:45,655 INFO] Epoch:3, Snapshot: 5; Loss: 0.6934
+[2024-06-10 16:40:47,858 INFO] Epoch:3, Snapshot: 6; Loss: 0.6935
+[2024-06-10 16:40:50,117 INFO] Epoch:3, Snapshot: 7; Loss: 0.6935
+[2024-06-10 16:40:52,573 INFO] Epoch:3, Snapshot: 8; Loss: 0.6933
+[2024-06-10 16:40:55,069 INFO] Epoch:3, Snapshot: 9; Loss: 0.6931
+[2024-06-10 16:40:57,583 INFO] Epoch:3, Snapshot: 10; Loss: 0.6934
+[2024-06-10 16:40:59,906 INFO] Epoch:3, Snapshot: 11; Loss: 0.6934
+[2024-06-10 16:41:02,039 INFO] Epoch:3, Snapshot: 12; Loss: 0.6940
+[2024-06-10 16:41:04,456 INFO] Epoch:3, Snapshot: 13; Loss: 0.6943
+[2024-06-10 16:41:06,467 INFO] Epoch:3, Snapshot: 14; Loss: 0.6948
+[2024-06-10 16:41:08,552 INFO] Epoch:3, Snapshot: 15; Loss: 0.6940
+[2024-06-10 16:41:10,452 INFO] Epoch:3, Snapshot: 16; Loss: 0.6933
+[2024-06-10 16:41:12,618 INFO] Epoch:3, Snapshot: 17; Loss: 0.6928
+[2024-06-10 16:41:14,802 INFO] Epoch:3, Snapshot: 18; Loss: 0.6925
+[2024-06-10 16:41:48,635 INFO] ==========================================================================================
+[2024-06-10 16:41:48,635 INFO] Epoch:3, Loss: 0.6949, Time: 75.071, GPU: 1885.5MiB
+[2024-06-10 16:41:48,635 INFO] Epoch:3, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1885.6750, time: 789.6742
+[2024-06-10 16:41:50,601 INFO] Epoch:4, Snapshot: 0; Loss: 0.7096
+[2024-06-10 16:41:52,636 INFO] Epoch:4, Snapshot: 1; Loss: 0.6960
+[2024-06-10 16:41:54,775 INFO] Epoch:4, Snapshot: 2; Loss: 0.6935
+[2024-06-10 16:41:56,958 INFO] Epoch:4, Snapshot: 3; Loss: 0.6926
+[2024-06-10 16:41:59,173 INFO] Epoch:4, Snapshot: 4; Loss: 0.6923
+[2024-06-10 16:42:01,572 INFO] Epoch:4, Snapshot: 5; Loss: 0.6938
+[2024-06-10 16:42:04,252 INFO] Epoch:4, Snapshot: 6; Loss: 0.6937
+[2024-06-10 16:42:06,715 INFO] Epoch:4, Snapshot: 7; Loss: 0.6936
+[2024-06-10 16:42:09,809 INFO] Epoch:4, Snapshot: 8; Loss: 0.6931
+[2024-06-10 16:42:12,435 INFO] Epoch:4, Snapshot: 9; Loss: 0.6930
+[2024-06-10 16:42:14,772 INFO] Epoch:4, Snapshot: 10; Loss: 0.6940
+[2024-06-10 16:42:17,165 INFO] Epoch:4, Snapshot: 11; Loss: 0.6941
+[2024-06-10 16:42:19,086 INFO] Epoch:4, Snapshot: 12; Loss: 0.6953
+[2024-06-10 16:42:21,251 INFO] Epoch:4, Snapshot: 13; Loss: 0.6960
+[2024-06-10 16:42:23,749 INFO] Epoch:4, Snapshot: 14; Loss: 0.6955
+[2024-06-10 16:42:25,834 INFO] Epoch:4, Snapshot: 15; Loss: 0.6938
+[2024-06-10 16:42:27,637 INFO] Epoch:4, Snapshot: 16; Loss: 0.6939
+[2024-06-10 16:42:29,751 INFO] Epoch:4, Snapshot: 17; Loss: 0.6932
+[2024-06-10 16:42:31,667 INFO] Epoch:4, Snapshot: 18; Loss: 0.6931
+[2024-06-10 16:43:04,628 INFO] ==========================================================================================
+[2024-06-10 16:43:04,628 INFO] Epoch:4, Loss: 0.6947, Time: 75.993, GPU: 1886.4MiB
+[2024-06-10 16:43:04,629 INFO] Epoch:4, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 769.4122
+[2024-06-10 16:43:06,697 INFO] Epoch:5, Snapshot: 0; Loss: 0.7101
+[2024-06-10 16:43:08,754 INFO] Epoch:5, Snapshot: 1; Loss: 0.6973
+[2024-06-10 16:43:10,973 INFO] Epoch:5, Snapshot: 2; Loss: 0.6939
+[2024-06-10 16:43:13,048 INFO] Epoch:5, Snapshot: 3; Loss: 0.6928
+[2024-06-10 16:43:15,227 INFO] Epoch:5, Snapshot: 4; Loss: 0.6923
+[2024-06-10 16:43:17,370 INFO] Epoch:5, Snapshot: 5; Loss: 0.6937
+[2024-06-10 16:43:19,728 INFO] Epoch:5, Snapshot: 6; Loss: 0.6935
+[2024-06-10 16:43:22,248 INFO] Epoch:5, Snapshot: 7; Loss: 0.6933
+[2024-06-10 16:43:24,827 INFO] Epoch:5, Snapshot: 8; Loss: 0.6930
+[2024-06-10 16:43:27,101 INFO] Epoch:5, Snapshot: 9; Loss: 0.6931
+[2024-06-10 16:43:29,316 INFO] Epoch:5, Snapshot: 10; Loss: 0.6948
+[2024-06-10 16:43:31,708 INFO] Epoch:5, Snapshot: 11; Loss: 0.6947
+[2024-06-10 16:43:34,051 INFO] Epoch:5, Snapshot: 12; Loss: 0.6958
+[2024-06-10 16:43:36,392 INFO] Epoch:5, Snapshot: 13; Loss: 0.6957
+[2024-06-10 16:43:38,485 INFO] Epoch:5, Snapshot: 14; Loss: 0.6945
+[2024-06-10 16:43:40,633 INFO] Epoch:5, Snapshot: 15; Loss: 0.6929
+[2024-06-10 16:43:42,467 INFO] Epoch:5, Snapshot: 16; Loss: 0.6937
+[2024-06-10 16:43:44,574 INFO] Epoch:5, Snapshot: 17; Loss: 0.6931
+[2024-06-10 16:43:46,560 INFO] Epoch:5, Snapshot: 18; Loss: 0.6932
+[2024-06-10 16:44:18,829 INFO] ==========================================================================================
+[2024-06-10 16:44:18,829 INFO] Epoch:5, Loss: 0.6948, Time: 74.200, GPU: 1886.4MiB
+[2024-06-10 16:44:18,829 INFO] Epoch:5, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 697.4288
+[2024-06-10 16:44:20,862 INFO] Epoch:6, Snapshot: 0; Loss: 0.7110
+[2024-06-10 16:44:22,708 INFO] Epoch:6, Snapshot: 1; Loss: 0.6981
+[2024-06-10 16:44:24,976 INFO] Epoch:6, Snapshot: 2; Loss: 0.6941
+[2024-06-10 16:44:27,133 INFO] Epoch:6, Snapshot: 3; Loss: 0.6927
+[2024-06-10 16:44:29,229 INFO] Epoch:6, Snapshot: 4; Loss: 0.6923
+[2024-06-10 16:44:31,512 INFO] Epoch:6, Snapshot: 5; Loss: 0.6934
+[2024-06-10 16:44:33,891 INFO] Epoch:6, Snapshot: 6; Loss: 0.6932
+[2024-06-10 16:44:36,484 INFO] Epoch:6, Snapshot: 7; Loss: 0.6930
+[2024-06-10 16:44:38,876 INFO] Epoch:6, Snapshot: 8; Loss: 0.6929
+[2024-06-10 16:44:40,941 INFO] Epoch:6, Snapshot: 9; Loss: 0.6933
+[2024-06-10 16:44:43,302 INFO] Epoch:6, Snapshot: 10; Loss: 0.6951
+[2024-06-10 16:44:45,958 INFO] Epoch:6, Snapshot: 11; Loss: 0.6947
+[2024-06-10 16:44:48,414 INFO] Epoch:6, Snapshot: 12; Loss: 0.6955
+[2024-06-10 16:44:50,843 INFO] Epoch:6, Snapshot: 13; Loss: 0.6951
+[2024-06-10 16:44:53,233 INFO] Epoch:6, Snapshot: 14; Loss: 0.6936
+[2024-06-10 16:44:55,144 INFO] Epoch:6, Snapshot: 15; Loss: 0.6925
+[2024-06-10 16:44:57,242 INFO] Epoch:6, Snapshot: 16; Loss: 0.6943
+[2024-06-10 16:44:59,235 INFO] Epoch:6, Snapshot: 17; Loss: 0.6935
+[2024-06-10 16:45:01,364 INFO] Epoch:6, Snapshot: 18; Loss: 0.6936
+[2024-06-10 16:45:31,928 INFO] ==========================================================================================
+[2024-06-10 16:45:31,928 INFO] Epoch:6, Loss: 0.6948, Time: 73.100, GPU: 1886.4MiB
+[2024-06-10 16:45:31,928 INFO] Epoch:6, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 631.9158
+[2024-06-10 16:45:33,945 INFO] Epoch:7, Snapshot: 0; Loss: 0.7112
+[2024-06-10 16:45:35,837 INFO] Epoch:7, Snapshot: 1; Loss: 0.6980
+[2024-06-10 16:45:38,068 INFO] Epoch:7, Snapshot: 2; Loss: 0.6938
+[2024-06-10 16:45:40,125 INFO] Epoch:7, Snapshot: 3; Loss: 0.6926
+[2024-06-10 16:45:42,351 INFO] Epoch:7, Snapshot: 4; Loss: 0.6924
+[2024-06-10 16:45:44,501 INFO] Epoch:7, Snapshot: 5; Loss: 0.6932
+[2024-06-10 16:45:46,647 INFO] Epoch:7, Snapshot: 6; Loss: 0.6931
+[2024-06-10 16:45:49,029 INFO] Epoch:7, Snapshot: 7; Loss: 0.6929
+[2024-06-10 16:45:51,642 INFO] Epoch:7, Snapshot: 8; Loss: 0.6929
+[2024-06-10 16:45:53,768 INFO] Epoch:7, Snapshot: 9; Loss: 0.6933
+[2024-06-10 16:45:55,925 INFO] Epoch:7, Snapshot: 10; Loss: 0.6950
+[2024-06-10 16:45:58,192 INFO] Epoch:7, Snapshot: 11; Loss: 0.6944
+[2024-06-10 16:46:00,473 INFO] Epoch:7, Snapshot: 12; Loss: 0.6949
+[2024-06-10 16:46:02,756 INFO] Epoch:7, Snapshot: 13; Loss: 0.6943
+[2024-06-10 16:46:04,741 INFO] Epoch:7, Snapshot: 14; Loss: 0.6929
+[2024-06-10 16:46:06,695 INFO] Epoch:7, Snapshot: 15; Loss: 0.6924
+[2024-06-10 16:46:08,461 INFO] Epoch:7, Snapshot: 16; Loss: 0.6949
+[2024-06-10 16:46:10,525 INFO] Epoch:7, Snapshot: 17; Loss: 0.6938
+[2024-06-10 16:46:12,609 INFO] Epoch:7, Snapshot: 18; Loss: 0.6938
+[2024-06-10 16:46:45,049 INFO] ==========================================================================================
+[2024-06-10 16:46:45,049 INFO] Epoch:7, Loss: 0.6947, Time: 73.120, GPU: 1886.4MiB
+[2024-06-10 16:46:45,049 INFO] Epoch:7, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 736.4676
+[2024-06-10 16:46:46,832 INFO] Epoch:8, Snapshot: 0; Loss: 0.7110
+[2024-06-10 16:46:48,692 INFO] Epoch:8, Snapshot: 1; Loss: 0.6974
+[2024-06-10 16:46:50,693 INFO] Epoch:8, Snapshot: 2; Loss: 0.6934
+[2024-06-10 16:46:52,819 INFO] Epoch:8, Snapshot: 3; Loss: 0.6925
+[2024-06-10 16:46:54,961 INFO] Epoch:8, Snapshot: 4; Loss: 0.6927
+[2024-06-10 16:46:57,025 INFO] Epoch:8, Snapshot: 5; Loss: 0.6932
+[2024-06-10 16:46:59,229 INFO] Epoch:8, Snapshot: 6; Loss: 0.6931
+[2024-06-10 16:47:01,562 INFO] Epoch:8, Snapshot: 7; Loss: 0.6930
+[2024-06-10 16:47:03,655 INFO] Epoch:8, Snapshot: 8; Loss: 0.6929
+[2024-06-10 16:47:05,874 INFO] Epoch:8, Snapshot: 9; Loss: 0.6932
+[2024-06-10 16:47:08,440 INFO] Epoch:8, Snapshot: 10; Loss: 0.6946
+[2024-06-10 16:47:11,066 INFO] Epoch:8, Snapshot: 11; Loss: 0.6940
+[2024-06-10 16:47:13,144 INFO] Epoch:8, Snapshot: 12; Loss: 0.6943
+[2024-06-10 16:47:15,194 INFO] Epoch:8, Snapshot: 13; Loss: 0.6937
+[2024-06-10 16:47:17,446 INFO] Epoch:8, Snapshot: 14; Loss: 0.6924
+[2024-06-10 16:47:19,227 INFO] Epoch:8, Snapshot: 15; Loss: 0.6923
+[2024-06-10 16:47:21,197 INFO] Epoch:8, Snapshot: 16; Loss: 0.6952
+[2024-06-10 16:47:23,418 INFO] Epoch:8, Snapshot: 17; Loss: 0.6939
+[2024-06-10 16:47:25,590 INFO] Epoch:8, Snapshot: 18; Loss: 0.6936
+[2024-06-10 16:47:57,167 INFO] ==========================================================================================
+[2024-06-10 16:47:57,167 INFO] Epoch:8, Loss: 0.6946, Time: 72.118, GPU: 1886.4MiB
+[2024-06-10 16:47:57,167 INFO] Epoch:8, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 674.3373
+[2024-06-10 16:47:58,993 INFO] Epoch:9, Snapshot: 0; Loss: 0.7107
+[2024-06-10 16:48:00,841 INFO] Epoch:9, Snapshot: 1; Loss: 0.6967
+[2024-06-10 16:48:02,930 INFO] Epoch:9, Snapshot: 2; Loss: 0.6931
+[2024-06-10 16:48:05,042 INFO] Epoch:9, Snapshot: 3; Loss: 0.6926
+[2024-06-10 16:48:07,046 INFO] Epoch:9, Snapshot: 4; Loss: 0.6930
+[2024-06-10 16:48:09,371 INFO] Epoch:9, Snapshot: 5; Loss: 0.6932
+[2024-06-10 16:48:11,621 INFO] Epoch:9, Snapshot: 6; Loss: 0.6932
+[2024-06-10 16:48:13,875 INFO] Epoch:9, Snapshot: 7; Loss: 0.6930
+[2024-06-10 16:48:16,019 INFO] Epoch:9, Snapshot: 8; Loss: 0.6929
+[2024-06-10 16:48:18,164 INFO] Epoch:9, Snapshot: 9; Loss: 0.6931
+[2024-06-10 16:48:20,276 INFO] Epoch:9, Snapshot: 10; Loss: 0.6943
+[2024-06-10 16:48:22,715 INFO] Epoch:9, Snapshot: 11; Loss: 0.6937
+[2024-06-10 16:48:24,850 INFO] Epoch:9, Snapshot: 12; Loss: 0.6939
+[2024-06-10 16:48:27,308 INFO] Epoch:9, Snapshot: 13; Loss: 0.6933
+[2024-06-10 16:48:29,699 INFO] Epoch:9, Snapshot: 14; Loss: 0.6922
+[2024-06-10 16:48:32,065 INFO] Epoch:9, Snapshot: 15; Loss: 0.6924
+[2024-06-10 16:48:34,050 INFO] Epoch:9, Snapshot: 16; Loss: 0.6952
+[2024-06-10 16:48:36,250 INFO] Epoch:9, Snapshot: 17; Loss: 0.6938
+[2024-06-10 16:48:38,330 INFO] Epoch:9, Snapshot: 18; Loss: 0.6935
+[2024-06-10 16:49:09,993 INFO] ==========================================================================================
+[2024-06-10 16:49:09,993 INFO] Epoch:9, Loss: 0.6944, Time: 72.827, GPU: 1886.4MiB
+[2024-06-10 16:49:09,993 INFO] Epoch:9, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 683.5424
+[2024-06-10 16:49:12,042 INFO] Epoch:10, Snapshot: 0; Loss: 0.7104
+[2024-06-10 16:49:14,061 INFO] Epoch:10, Snapshot: 1; Loss: 0.6962
+[2024-06-10 16:49:16,187 INFO] Epoch:10, Snapshot: 2; Loss: 0.6930
+[2024-06-10 16:49:18,249 INFO] Epoch:10, Snapshot: 3; Loss: 0.6927
+[2024-06-10 16:49:20,252 INFO] Epoch:10, Snapshot: 4; Loss: 0.6932
+[2024-06-10 16:49:22,270 INFO] Epoch:10, Snapshot: 5; Loss: 0.6932
+[2024-06-10 16:49:24,457 INFO] Epoch:10, Snapshot: 6; Loss: 0.6932
+[2024-06-10 16:49:26,645 INFO] Epoch:10, Snapshot: 7; Loss: 0.6930
+[2024-06-10 16:49:28,818 INFO] Epoch:10, Snapshot: 8; Loss: 0.6929
+[2024-06-10 16:49:31,150 INFO] Epoch:10, Snapshot: 9; Loss: 0.6931
+[2024-06-10 16:49:33,244 INFO] Epoch:10, Snapshot: 10; Loss: 0.6940
+[2024-06-10 16:49:35,454 INFO] Epoch:10, Snapshot: 11; Loss: 0.6936
+[2024-06-10 16:49:37,398 INFO] Epoch:10, Snapshot: 12; Loss: 0.6937
+[2024-06-10 16:49:39,655 INFO] Epoch:10, Snapshot: 13; Loss: 0.6932
+[2024-06-10 16:49:41,968 INFO] Epoch:10, Snapshot: 14; Loss: 0.6921
+[2024-06-10 16:49:43,967 INFO] Epoch:10, Snapshot: 15; Loss: 0.6924
+[2024-06-10 16:49:46,043 INFO] Epoch:10, Snapshot: 16; Loss: 0.6952
+[2024-06-10 16:49:48,199 INFO] Epoch:10, Snapshot: 17; Loss: 0.6937
+[2024-06-10 16:49:50,333 INFO] Epoch:10, Snapshot: 18; Loss: 0.6933
+[2024-06-10 16:50:22,021 INFO] ==========================================================================================
+[2024-06-10 16:50:22,021 INFO] Epoch:10, Loss: 0.6943, Time: 72.027, GPU: 1886.4MiB
+[2024-06-10 16:50:22,021 INFO] Epoch:10, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 670.6046
+[2024-06-10 16:50:23,708 INFO] Epoch:11, Snapshot: 0; Loss: 0.7101
+[2024-06-10 16:50:25,746 INFO] Epoch:11, Snapshot: 1; Loss: 0.6958
+[2024-06-10 16:50:27,802 INFO] Epoch:11, Snapshot: 2; Loss: 0.6929
+[2024-06-10 16:50:30,146 INFO] Epoch:11, Snapshot: 3; Loss: 0.6928
+[2024-06-10 16:50:32,293 INFO] Epoch:11, Snapshot: 4; Loss: 0.6933
+[2024-06-10 16:50:34,474 INFO] Epoch:11, Snapshot: 5; Loss: 0.6932
+[2024-06-10 16:50:36,601 INFO] Epoch:11, Snapshot: 6; Loss: 0.6932
+[2024-06-10 16:50:38,647 INFO] Epoch:11, Snapshot: 7; Loss: 0.6929
+[2024-06-10 16:50:40,895 INFO] Epoch:11, Snapshot: 8; Loss: 0.6929
+[2024-06-10 16:50:43,302 INFO] Epoch:11, Snapshot: 9; Loss: 0.6930
+[2024-06-10 16:50:45,523 INFO] Epoch:11, Snapshot: 10; Loss: 0.6938
+[2024-06-10 16:50:47,584 INFO] Epoch:11, Snapshot: 11; Loss: 0.6935
+[2024-06-10 16:50:49,598 INFO] Epoch:11, Snapshot: 12; Loss: 0.6936
+[2024-06-10 16:50:51,521 INFO] Epoch:11, Snapshot: 13; Loss: 0.6931
+[2024-06-10 16:50:54,163 INFO] Epoch:11, Snapshot: 14; Loss: 0.6921
+[2024-06-10 16:50:56,372 INFO] Epoch:11, Snapshot: 15; Loss: 0.6924
+[2024-06-10 16:50:58,574 INFO] Epoch:11, Snapshot: 16; Loss: 0.6952
+[2024-06-10 16:51:01,164 INFO] Epoch:11, Snapshot: 17; Loss: 0.6937
+[2024-06-10 16:51:03,342 INFO] Epoch:11, Snapshot: 18; Loss: 0.6932
+[2024-06-10 16:51:35,383 INFO] ==========================================================================================
+[2024-06-10 16:51:35,383 INFO] Epoch:11, Loss: 0.6942, Time: 73.362, GPU: 1886.4MiB
+[2024-06-10 16:51:35,383 INFO] Epoch:11, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 686.6610
+[2024-06-10 16:51:37,320 INFO] Epoch:12, Snapshot: 0; Loss: 0.7100
+[2024-06-10 16:51:39,273 INFO] Epoch:12, Snapshot: 1; Loss: 0.6956
+[2024-06-10 16:51:41,428 INFO] Epoch:12, Snapshot: 2; Loss: 0.6929
+[2024-06-10 16:51:43,544 INFO] Epoch:12, Snapshot: 3; Loss: 0.6928
+[2024-06-10 16:51:45,991 INFO] Epoch:12, Snapshot: 4; Loss: 0.6934
+[2024-06-10 16:51:48,211 INFO] Epoch:12, Snapshot: 5; Loss: 0.6933
+[2024-06-10 16:51:50,347 INFO] Epoch:12, Snapshot: 6; Loss: 0.6932
+[2024-06-10 16:51:52,462 INFO] Epoch:12, Snapshot: 7; Loss: 0.6929
+[2024-06-10 16:51:54,853 INFO] Epoch:12, Snapshot: 8; Loss: 0.6929
+[2024-06-10 16:51:57,324 INFO] Epoch:12, Snapshot: 9; Loss: 0.6930
+[2024-06-10 16:51:59,713 INFO] Epoch:12, Snapshot: 10; Loss: 0.6937
+[2024-06-10 16:52:01,908 INFO] Epoch:12, Snapshot: 11; Loss: 0.6934
+[2024-06-10 16:52:03,804 INFO] Epoch:12, Snapshot: 12; Loss: 0.6935
+[2024-06-10 16:52:05,728 INFO] Epoch:12, Snapshot: 13; Loss: 0.6930
+[2024-06-10 16:52:07,825 INFO] Epoch:12, Snapshot: 14; Loss: 0.6921
+[2024-06-10 16:52:09,929 INFO] Epoch:12, Snapshot: 15; Loss: 0.6924
+[2024-06-10 16:52:11,821 INFO] Epoch:12, Snapshot: 16; Loss: 0.6952
+[2024-06-10 16:52:13,920 INFO] Epoch:12, Snapshot: 17; Loss: 0.6936
+[2024-06-10 16:52:16,217 INFO] Epoch:12, Snapshot: 18; Loss: 0.6932
+[2024-06-10 16:52:47,092 INFO] ==========================================================================================
+[2024-06-10 16:52:47,092 INFO] Epoch:12, Loss: 0.6942, Time: 71.709, GPU: 1886.4MiB
+[2024-06-10 16:52:47,092 INFO] Epoch:12, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 645.7562
+[2024-06-10 16:52:49,096 INFO] Epoch:13, Snapshot: 0; Loss: 0.7099
+[2024-06-10 16:52:50,891 INFO] Epoch:13, Snapshot: 1; Loss: 0.6954
+[2024-06-10 16:52:53,022 INFO] Epoch:13, Snapshot: 2; Loss: 0.6929
+[2024-06-10 16:52:55,485 INFO] Epoch:13, Snapshot: 3; Loss: 0.6929
+[2024-06-10 16:52:58,019 INFO] Epoch:13, Snapshot: 4; Loss: 0.6935
+[2024-06-10 16:53:00,320 INFO] Epoch:13, Snapshot: 5; Loss: 0.6933
+[2024-06-10 16:53:02,669 INFO] Epoch:13, Snapshot: 6; Loss: 0.6931
+[2024-06-10 16:53:04,786 INFO] Epoch:13, Snapshot: 7; Loss: 0.6930
+[2024-06-10 16:53:06,886 INFO] Epoch:13, Snapshot: 8; Loss: 0.6929
+[2024-06-10 16:53:09,136 INFO] Epoch:13, Snapshot: 9; Loss: 0.6930
+[2024-06-10 16:53:11,372 INFO] Epoch:13, Snapshot: 10; Loss: 0.6936
+[2024-06-10 16:53:13,457 INFO] Epoch:13, Snapshot: 11; Loss: 0.6934
+[2024-06-10 16:53:15,510 INFO] Epoch:13, Snapshot: 12; Loss: 0.6935
+[2024-06-10 16:53:17,440 INFO] Epoch:13, Snapshot: 13; Loss: 0.6930
+[2024-06-10 16:53:19,445 INFO] Epoch:13, Snapshot: 14; Loss: 0.6921
+[2024-06-10 16:53:21,496 INFO] Epoch:13, Snapshot: 15; Loss: 0.6924
+[2024-06-10 16:53:23,410 INFO] Epoch:13, Snapshot: 16; Loss: 0.6951
+[2024-06-10 16:53:25,545 INFO] Epoch:13, Snapshot: 17; Loss: 0.6936
+[2024-06-10 16:53:27,774 INFO] Epoch:13, Snapshot: 18; Loss: 0.6931
+[2024-06-10 16:54:00,527 INFO] ==========================================================================================
+[2024-06-10 16:54:00,527 INFO] Epoch:13, Loss: 0.6942, Time: 73.435, GPU: 1886.4MiB
+[2024-06-10 16:54:00,527 INFO] Epoch:13, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 669.6326
+[2024-06-10 16:54:02,418 INFO] Epoch:14, Snapshot: 0; Loss: 0.7098
+[2024-06-10 16:54:04,396 INFO] Epoch:14, Snapshot: 1; Loss: 0.6952
+[2024-06-10 16:54:06,281 INFO] Epoch:14, Snapshot: 2; Loss: 0.6929
+[2024-06-10 16:54:08,263 INFO] Epoch:14, Snapshot: 3; Loss: 0.6930
+[2024-06-10 16:54:10,319 INFO] Epoch:14, Snapshot: 4; Loss: 0.6936
+[2024-06-10 16:54:12,865 INFO] Epoch:14, Snapshot: 5; Loss: 0.6933
+[2024-06-10 16:54:15,224 INFO] Epoch:14, Snapshot: 6; Loss: 0.6931
+[2024-06-10 16:54:17,679 INFO] Epoch:14, Snapshot: 7; Loss: 0.6930
+[2024-06-10 16:54:20,011 INFO] Epoch:14, Snapshot: 8; Loss: 0.6929
+[2024-06-10 16:54:22,224 INFO] Epoch:14, Snapshot: 9; Loss: 0.6930
+[2024-06-10 16:54:24,427 INFO] Epoch:14, Snapshot: 10; Loss: 0.6936
+[2024-06-10 16:54:26,639 INFO] Epoch:14, Snapshot: 11; Loss: 0.6933
+[2024-06-10 16:54:28,603 INFO] Epoch:14, Snapshot: 12; Loss: 0.6934
+[2024-06-10 16:54:30,617 INFO] Epoch:14, Snapshot: 13; Loss: 0.6930
+[2024-06-10 16:54:32,595 INFO] Epoch:14, Snapshot: 14; Loss: 0.6921
+[2024-06-10 16:54:34,275 INFO] Epoch:14, Snapshot: 15; Loss: 0.6924
+[2024-06-10 16:54:36,242 INFO] Epoch:14, Snapshot: 16; Loss: 0.6951
+[2024-06-10 16:54:38,247 INFO] Epoch:14, Snapshot: 17; Loss: 0.6936
+[2024-06-10 16:54:40,277 INFO] Epoch:14, Snapshot: 18; Loss: 0.6931
+[2024-06-10 16:55:11,289 INFO] ==========================================================================================
+[2024-06-10 16:55:11,289 INFO] Epoch:14, Loss: 0.6942, Time: 70.762, GPU: 1886.4MiB
+[2024-06-10 16:55:11,289 INFO] Epoch:14, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 662.1020
+[2024-06-10 16:55:13,032 INFO] Epoch:15, Snapshot: 0; Loss: 0.7097
+[2024-06-10 16:55:14,929 INFO] Epoch:15, Snapshot: 1; Loss: 0.6951
+[2024-06-10 16:55:16,784 INFO] Epoch:15, Snapshot: 2; Loss: 0.6929
+[2024-06-10 16:55:19,078 INFO] Epoch:15, Snapshot: 3; Loss: 0.6930
+[2024-06-10 16:55:21,497 INFO] Epoch:15, Snapshot: 4; Loss: 0.6937
+[2024-06-10 16:55:24,036 INFO] Epoch:15, Snapshot: 5; Loss: 0.6933
+[2024-06-10 16:55:26,420 INFO] Epoch:15, Snapshot: 6; Loss: 0.6931
+[2024-06-10 16:55:28,923 INFO] Epoch:15, Snapshot: 7; Loss: 0.6930
+[2024-06-10 16:55:31,110 INFO] Epoch:15, Snapshot: 8; Loss: 0.6929
+[2024-06-10 16:55:33,444 INFO] Epoch:15, Snapshot: 9; Loss: 0.6930
+[2024-06-10 16:55:35,958 INFO] Epoch:15, Snapshot: 10; Loss: 0.6935
+[2024-06-10 16:55:38,257 INFO] Epoch:15, Snapshot: 11; Loss: 0.6933
+[2024-06-10 16:55:40,227 INFO] Epoch:15, Snapshot: 12; Loss: 0.6934
+[2024-06-10 16:55:42,025 INFO] Epoch:15, Snapshot: 13; Loss: 0.6930
+[2024-06-10 16:55:43,947 INFO] Epoch:15, Snapshot: 14; Loss: 0.6921
+[2024-06-10 16:55:45,779 INFO] Epoch:15, Snapshot: 15; Loss: 0.6924
+[2024-06-10 16:55:47,545 INFO] Epoch:15, Snapshot: 16; Loss: 0.6951
+[2024-06-10 16:55:49,677 INFO] Epoch:15, Snapshot: 17; Loss: 0.6935
+[2024-06-10 16:55:51,876 INFO] Epoch:15, Snapshot: 18; Loss: 0.6931
+[2024-06-10 16:56:22,005 INFO] ==========================================================================================
+[2024-06-10 16:56:22,005 INFO] Epoch:15, Loss: 0.6942, Time: 70.716, GPU: 1886.4MiB
+[2024-06-10 16:56:22,005 INFO] Epoch:15, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 596.7503
+[2024-06-10 16:56:23,882 INFO] Epoch:16, Snapshot: 0; Loss: 0.7097
+[2024-06-10 16:56:25,768 INFO] Epoch:16, Snapshot: 1; Loss: 0.6950
+[2024-06-10 16:56:27,716 INFO] Epoch:16, Snapshot: 2; Loss: 0.6929
+[2024-06-10 16:56:29,783 INFO] Epoch:16, Snapshot: 3; Loss: 0.6931
+[2024-06-10 16:56:32,099 INFO] Epoch:16, Snapshot: 4; Loss: 0.6937
+[2024-06-10 16:56:34,893 INFO] Epoch:16, Snapshot: 5; Loss: 0.6933
+[2024-06-10 16:56:37,214 INFO] Epoch:16, Snapshot: 6; Loss: 0.6931
+[2024-06-10 16:56:39,625 INFO] Epoch:16, Snapshot: 7; Loss: 0.6930
+[2024-06-10 16:56:42,120 INFO] Epoch:16, Snapshot: 8; Loss: 0.6929
+[2024-06-10 16:56:44,159 INFO] Epoch:16, Snapshot: 9; Loss: 0.6930
+[2024-06-10 16:56:46,793 INFO] Epoch:16, Snapshot: 10; Loss: 0.6935
+[2024-06-10 16:56:48,864 INFO] Epoch:16, Snapshot: 11; Loss: 0.6933
+[2024-06-10 16:56:51,406 INFO] Epoch:16, Snapshot: 12; Loss: 0.6934
+[2024-06-10 16:56:53,562 INFO] Epoch:16, Snapshot: 13; Loss: 0.6930
+[2024-06-10 16:56:55,749 INFO] Epoch:16, Snapshot: 14; Loss: 0.6921
+[2024-06-10 16:56:57,519 INFO] Epoch:16, Snapshot: 15; Loss: 0.6924
+[2024-06-10 16:56:59,275 INFO] Epoch:16, Snapshot: 16; Loss: 0.6951
+[2024-06-10 16:57:01,152 INFO] Epoch:16, Snapshot: 17; Loss: 0.6935
+[2024-06-10 16:57:03,023 INFO] Epoch:16, Snapshot: 18; Loss: 0.6930
+[2024-06-10 16:57:34,353 INFO] ==========================================================================================
+[2024-06-10 16:57:34,353 INFO] Epoch:16, Loss: 0.6942, Time: 72.347, GPU: 1886.4MiB
+[2024-06-10 16:57:34,353 INFO] Epoch:16, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 664.8338
+[2024-06-10 16:57:36,344 INFO] Epoch:17, Snapshot: 0; Loss: 0.7096
+[2024-06-10 16:57:38,310 INFO] Epoch:17, Snapshot: 1; Loss: 0.6949
+[2024-06-10 16:57:40,247 INFO] Epoch:17, Snapshot: 2; Loss: 0.6929
+[2024-06-10 16:57:42,134 INFO] Epoch:17, Snapshot: 3; Loss: 0.6932
+[2024-06-10 16:57:44,175 INFO] Epoch:17, Snapshot: 4; Loss: 0.6938
+[2024-06-10 16:57:46,411 INFO] Epoch:17, Snapshot: 5; Loss: 0.6933
+[2024-06-10 16:57:48,880 INFO] Epoch:17, Snapshot: 6; Loss: 0.6931
+[2024-06-10 16:57:51,073 INFO] Epoch:17, Snapshot: 7; Loss: 0.6930
+[2024-06-10 16:57:53,504 INFO] Epoch:17, Snapshot: 8; Loss: 0.6930
+[2024-06-10 16:57:55,955 INFO] Epoch:17, Snapshot: 9; Loss: 0.6930
+[2024-06-10 16:57:58,225 INFO] Epoch:17, Snapshot: 10; Loss: 0.6934
+[2024-06-10 16:58:00,686 INFO] Epoch:17, Snapshot: 11; Loss: 0.6933
+[2024-06-10 16:58:02,864 INFO] Epoch:17, Snapshot: 12; Loss: 0.6934
+[2024-06-10 16:58:05,238 INFO] Epoch:17, Snapshot: 13; Loss: 0.6930
+[2024-06-10 16:58:07,675 INFO] Epoch:17, Snapshot: 14; Loss: 0.6921
+[2024-06-10 16:58:09,769 INFO] Epoch:17, Snapshot: 15; Loss: 0.6924
+[2024-06-10 16:58:11,567 INFO] Epoch:17, Snapshot: 16; Loss: 0.6951
+[2024-06-10 16:58:13,700 INFO] Epoch:17, Snapshot: 17; Loss: 0.6935
+[2024-06-10 16:58:15,695 INFO] Epoch:17, Snapshot: 18; Loss: 0.6930
+[2024-06-10 16:58:47,587 INFO] ==========================================================================================
+[2024-06-10 16:58:47,587 INFO] Epoch:17, Loss: 0.6941, Time: 73.234, GPU: 1886.4MiB
+[2024-06-10 16:58:47,587 INFO] Epoch:17, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 709.0860
+[2024-06-10 16:58:49,546 INFO] Epoch:18, Snapshot: 0; Loss: 0.7096
+[2024-06-10 16:58:51,895 INFO] Epoch:18, Snapshot: 1; Loss: 0.6949
+[2024-06-10 16:58:53,842 INFO] Epoch:18, Snapshot: 2; Loss: 0.6929
+[2024-06-10 16:58:55,927 INFO] Epoch:18, Snapshot: 3; Loss: 0.6932
+[2024-06-10 16:58:58,091 INFO] Epoch:18, Snapshot: 4; Loss: 0.6938
+[2024-06-10 16:59:00,042 INFO] Epoch:18, Snapshot: 5; Loss: 0.6933
+[2024-06-10 16:59:02,105 INFO] Epoch:18, Snapshot: 6; Loss: 0.6931
+[2024-06-10 16:59:04,428 INFO] Epoch:18, Snapshot: 7; Loss: 0.6930
+[2024-06-10 16:59:06,884 INFO] Epoch:18, Snapshot: 8; Loss: 0.6930
+[2024-06-10 16:59:09,363 INFO] Epoch:18, Snapshot: 9; Loss: 0.6930
+[2024-06-10 16:59:11,694 INFO] Epoch:18, Snapshot: 10; Loss: 0.6934
+[2024-06-10 16:59:14,135 INFO] Epoch:18, Snapshot: 11; Loss: 0.6933
+[2024-06-10 16:59:16,045 INFO] Epoch:18, Snapshot: 12; Loss: 0.6934
+[2024-06-10 16:59:18,463 INFO] Epoch:18, Snapshot: 13; Loss: 0.6930
+[2024-06-10 16:59:20,795 INFO] Epoch:18, Snapshot: 14; Loss: 0.6921
+[2024-06-10 16:59:23,102 INFO] Epoch:18, Snapshot: 15; Loss: 0.6924
+[2024-06-10 16:59:25,388 INFO] Epoch:18, Snapshot: 16; Loss: 0.6951
+[2024-06-10 16:59:27,639 INFO] Epoch:18, Snapshot: 17; Loss: 0.6935
+[2024-06-10 16:59:29,797 INFO] Epoch:18, Snapshot: 18; Loss: 0.6930
+[2024-06-10 17:00:01,844 INFO] ==========================================================================================
+[2024-06-10 17:00:01,844 INFO] Epoch:18, Loss: 0.6941, Time: 74.257, GPU: 1886.4MiB
+[2024-06-10 17:00:01,845 INFO] Epoch:18, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 721.3695
+[2024-06-10 17:00:03,851 INFO] Epoch:19, Snapshot: 0; Loss: 0.7096
+[2024-06-10 17:00:05,690 INFO] Epoch:19, Snapshot: 1; Loss: 0.6948
+[2024-06-10 17:00:07,947 INFO] Epoch:19, Snapshot: 2; Loss: 0.6929
+[2024-06-10 17:00:10,174 INFO] Epoch:19, Snapshot: 3; Loss: 0.6932
+[2024-06-10 17:00:12,292 INFO] Epoch:19, Snapshot: 4; Loss: 0.6939
+[2024-06-10 17:00:14,439 INFO] Epoch:19, Snapshot: 5; Loss: 0.6933
+[2024-06-10 17:00:16,650 INFO] Epoch:19, Snapshot: 6; Loss: 0.6931
+[2024-06-10 17:00:18,831 INFO] Epoch:19, Snapshot: 7; Loss: 0.6930
+[2024-06-10 17:00:21,045 INFO] Epoch:19, Snapshot: 8; Loss: 0.6930
+[2024-06-10 17:00:23,486 INFO] Epoch:19, Snapshot: 9; Loss: 0.6930
+[2024-06-10 17:00:25,760 INFO] Epoch:19, Snapshot: 10; Loss: 0.6934
+[2024-06-10 17:00:28,166 INFO] Epoch:19, Snapshot: 11; Loss: 0.6933
+[2024-06-10 17:00:30,153 INFO] Epoch:19, Snapshot: 12; Loss: 0.6934
+[2024-06-10 17:00:32,397 INFO] Epoch:19, Snapshot: 13; Loss: 0.6930
+[2024-06-10 17:00:35,204 INFO] Epoch:19, Snapshot: 14; Loss: 0.6921
+[2024-06-10 17:00:37,144 INFO] Epoch:19, Snapshot: 15; Loss: 0.6924
+[2024-06-10 17:00:39,498 INFO] Epoch:19, Snapshot: 16; Loss: 0.6951
+[2024-06-10 17:00:41,833 INFO] Epoch:19, Snapshot: 17; Loss: 0.6935
+[2024-06-10 17:00:44,071 INFO] Epoch:19, Snapshot: 18; Loss: 0.6930
+[2024-06-10 17:01:15,875 INFO] ==========================================================================================
+[2024-06-10 17:01:15,875 INFO] Epoch:19, Loss: 0.6942, Time: 74.030, GPU: 1886.4MiB
+[2024-06-10 17:01:15,875 INFO] Epoch:19, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 692.6452
+[2024-06-10 17:01:17,576 INFO] Epoch:20, Snapshot: 0; Loss: 0.7095
+[2024-06-10 17:01:19,279 INFO] Epoch:20, Snapshot: 1; Loss: 0.6948
+[2024-06-10 17:01:21,363 INFO] Epoch:20, Snapshot: 2; Loss: 0.6929
+[2024-06-10 17:01:23,573 INFO] Epoch:20, Snapshot: 3; Loss: 0.6933
+[2024-06-10 17:01:25,785 INFO] Epoch:20, Snapshot: 4; Loss: 0.6939
+[2024-06-10 17:01:27,973 INFO] Epoch:20, Snapshot: 5; Loss: 0.6933
+[2024-06-10 17:01:30,022 INFO] Epoch:20, Snapshot: 6; Loss: 0.6931
+[2024-06-10 17:01:32,340 INFO] Epoch:20, Snapshot: 7; Loss: 0.6930
+[2024-06-10 17:01:34,590 INFO] Epoch:20, Snapshot: 8; Loss: 0.6930
+[2024-06-10 17:01:36,698 INFO] Epoch:20, Snapshot: 9; Loss: 0.6930
+[2024-06-10 17:01:38,917 INFO] Epoch:20, Snapshot: 10; Loss: 0.6934
+[2024-06-10 17:01:41,318 INFO] Epoch:20, Snapshot: 11; Loss: 0.6933
+[2024-06-10 17:01:43,506 INFO] Epoch:20, Snapshot: 12; Loss: 0.6934
+[2024-06-10 17:01:45,937 INFO] Epoch:20, Snapshot: 13; Loss: 0.6930
+[2024-06-10 17:01:48,108 INFO] Epoch:20, Snapshot: 14; Loss: 0.6921
+[2024-06-10 17:01:50,513 INFO] Epoch:20, Snapshot: 15; Loss: 0.6924
+[2024-06-10 17:01:52,676 INFO] Epoch:20, Snapshot: 16; Loss: 0.6951
+[2024-06-10 17:01:54,958 INFO] Epoch:20, Snapshot: 17; Loss: 0.6935
+[2024-06-10 17:01:57,474 INFO] Epoch:20, Snapshot: 18; Loss: 0.6930
+[2024-06-10 17:02:28,963 INFO] ==========================================================================================
+[2024-06-10 17:02:28,963 INFO] Epoch:20, Loss: 0.6942, Time: 73.089, GPU: 1886.4MiB
+[2024-06-10 17:02:28,963 INFO] Epoch:20, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 660.8839
+[2024-06-10 17:02:28,964 INFO] ==========================================================================================
+[2024-06-10 17:02:28,964 INFO] Total time: 1463.737
+[2024-06-11 19:03:10,712 INFO] fixed random seed
+[2024-06-11 19:03:11,760 INFO] Epoch:1, Snapshot: 0; Loss: 2.3183
+[2024-06-11 19:03:12,933 INFO] Epoch:1, Snapshot: 1; Loss: 2.1405
+[2024-06-11 19:03:13,965 INFO] Epoch:1, Snapshot: 2; Loss: 0.7533
+[2024-06-11 19:03:15,059 INFO] Epoch:1, Snapshot: 3; Loss: 0.6988
+[2024-06-11 19:03:16,059 INFO] Epoch:1, Snapshot: 4; Loss: 0.6973
+[2024-06-11 19:03:17,091 INFO] Epoch:1, Snapshot: 5; Loss: 0.7216
+[2024-06-11 19:03:18,122 INFO] Epoch:1, Snapshot: 6; Loss: 0.7335
+[2024-06-11 19:03:19,217 INFO] Epoch:1, Snapshot: 7; Loss: 0.7260
+[2024-06-11 19:03:20,295 INFO] Epoch:1, Snapshot: 8; Loss: 0.7213
+[2024-06-11 19:03:21,373 INFO] Epoch:1, Snapshot: 9; Loss: 0.7065
+[2024-06-11 19:03:22,436 INFO] Epoch:1, Snapshot: 10; Loss: 0.7073
+[2024-06-11 19:03:23,436 INFO] Epoch:1, Snapshot: 11; Loss: 0.6957
+[2024-06-11 19:03:24,515 INFO] Epoch:1, Snapshot: 12; Loss: 0.6935
+[2024-06-11 19:03:25,640 INFO] Epoch:1, Snapshot: 13; Loss: 0.6935
+[2024-06-11 19:03:26,735 INFO] Epoch:1, Snapshot: 14; Loss: 0.6962
+[2024-06-11 19:03:27,798 INFO] Epoch:1, Snapshot: 15; Loss: 0.7066
+[2024-06-11 19:03:28,908 INFO] Epoch:1, Snapshot: 16; Loss: 0.6925
+[2024-06-11 19:03:30,033 INFO] Epoch:1, Snapshot: 17; Loss: 0.6940
+[2024-06-11 19:03:31,080 INFO] Epoch:1, Snapshot: 18; Loss: 0.7010
+[2024-06-11 19:03:32,033 INFO] Epoch:1, Snapshot: 19; Loss: 0.7070
+[2024-06-11 19:03:32,955 INFO] Epoch:1, Snapshot: 20; Loss: 0.6977
+[2024-06-11 19:03:33,909 INFO] Epoch:1, Snapshot: 21; Loss: 0.6989
+[2024-06-11 19:03:34,815 INFO] Epoch:1, Snapshot: 22; Loss: 0.6999
+[2024-06-11 19:03:35,737 INFO] Epoch:1, Snapshot: 23; Loss: 0.6935
+[2024-06-11 19:03:36,643 INFO] Epoch:1, Snapshot: 24; Loss: 0.8247
+[2024-06-11 19:03:37,581 INFO] Epoch:1, Snapshot: 25; Loss: 0.8629
+[2024-06-11 19:03:38,488 INFO] Epoch:1, Snapshot: 26; Loss: 0.7026
+[2024-06-11 19:03:39,425 INFO] Epoch:1, Snapshot: 27; Loss: 0.6969
+[2024-06-11 19:03:40,370 INFO] Epoch:1, Snapshot: 28; Loss: 0.7040
+[2024-06-11 19:03:41,317 INFO] Epoch:1, Snapshot: 29; Loss: 0.7015
+[2024-06-11 19:03:42,271 INFO] Epoch:1, Snapshot: 30; Loss: 0.6973
+[2024-06-11 19:03:43,241 INFO] Epoch:1, Snapshot: 31; Loss: 0.6947
+[2024-06-11 19:03:44,194 INFO] Epoch:1, Snapshot: 32; Loss: 0.7257
+[2024-06-11 19:03:45,163 INFO] Epoch:1, Snapshot: 33; Loss: 0.7298
+[2024-06-11 19:03:46,148 INFO] Epoch:1, Snapshot: 34; Loss: 0.6960
+[2024-06-11 19:03:47,117 INFO] Epoch:1, Snapshot: 35; Loss: 0.6937
+[2024-06-11 19:03:48,118 INFO] Epoch:1, Snapshot: 36; Loss: 0.6924
+[2024-06-11 19:03:49,134 INFO] Epoch:1, Snapshot: 37; Loss: 0.6940
+[2024-06-11 19:03:50,134 INFO] Epoch:1, Snapshot: 38; Loss: 0.6937
+[2024-06-11 19:03:51,118 INFO] Epoch:1, Snapshot: 39; Loss: 0.6949
+[2024-06-11 19:03:52,103 INFO] Epoch:1, Snapshot: 40; Loss: 0.6923
+[2024-06-11 19:03:53,088 INFO] Epoch:1, Snapshot: 41; Loss: 0.6919
+[2024-06-11 19:03:54,056 INFO] Epoch:1, Snapshot: 42; Loss: 0.6933
+[2024-06-11 19:03:55,025 INFO] Epoch:1, Snapshot: 43; Loss: 0.6934
+[2024-06-11 19:03:55,993 INFO] Epoch:1, Snapshot: 44; Loss: 0.6927
+[2024-06-11 19:03:56,946 INFO] Epoch:1, Snapshot: 45; Loss: 0.6929
+[2024-06-11 19:03:57,915 INFO] Epoch:1, Snapshot: 46; Loss: 0.6985
+[2024-06-11 19:03:58,868 INFO] Epoch:1, Snapshot: 47; Loss: 0.6994
+[2024-06-11 19:03:59,823 INFO] Epoch:1, Snapshot: 48; Loss: 0.6930
+[2024-06-11 19:04:00,779 INFO] Epoch:1, Snapshot: 49; Loss: 0.6945
+[2024-06-11 19:04:01,740 INFO] Epoch:1, Snapshot: 50; Loss: 0.6937
+[2024-06-11 19:04:02,699 INFO] Epoch:1, Snapshot: 51; Loss: 0.6945
+[2024-06-11 19:04:03,746 INFO] Epoch:1, Snapshot: 52; Loss: 0.6946
+[2024-06-11 19:04:04,746 INFO] Epoch:1, Snapshot: 53; Loss: 0.6936
+[2024-06-11 19:04:05,684 INFO] Epoch:1, Snapshot: 54; Loss: 0.6930
+[2024-06-11 19:04:06,637 INFO] Epoch:1, Snapshot: 55; Loss: 0.6940
+[2024-06-11 19:04:07,593 INFO] Epoch:1, Snapshot: 56; Loss: 0.6945
+[2024-06-11 19:04:08,590 INFO] Epoch:1, Snapshot: 57; Loss: 0.6936
+[2024-06-11 19:04:09,559 INFO] Epoch:1, Snapshot: 58; Loss: 0.6938
+[2024-06-11 19:04:10,529 INFO] Epoch:1, Snapshot: 59; Loss: 0.6959
+[2024-06-11 19:04:11,514 INFO] Epoch:1, Snapshot: 60; Loss: 0.6916
+[2024-06-11 19:04:12,467 INFO] Epoch:1, Snapshot: 61; Loss: 0.6960
+[2024-06-11 19:04:13,421 INFO] Epoch:1, Snapshot: 62; Loss: 0.6938
+[2024-06-11 19:04:14,374 INFO] Epoch:1, Snapshot: 63; Loss: 0.6931
+[2024-06-11 19:04:15,344 INFO] Epoch:1, Snapshot: 64; Loss: 0.6937
+[2024-06-11 19:04:16,298 INFO] Epoch:1, Snapshot: 65; Loss: 0.6936
+[2024-06-11 19:04:17,220 INFO] Epoch:1, Snapshot: 66; Loss: 0.6929
+[2024-06-11 19:04:18,142 INFO] Epoch:1, Snapshot: 67; Loss: 0.6938
+[2024-06-11 19:04:19,079 INFO] Epoch:1, Snapshot: 68; Loss: 0.6935
+[2024-06-11 19:04:19,985 INFO] Epoch:1, Snapshot: 69; Loss: 0.6933
+[2024-06-11 19:04:20,923 INFO] Epoch:1, Snapshot: 70; Loss: 0.6933
+[2024-06-11 19:04:21,845 INFO] Epoch:1, Snapshot: 71; Loss: 0.6933
+[2024-06-11 19:04:22,785 INFO] Epoch:1, Snapshot: 72; Loss: 0.6928
+[2024-06-11 19:04:23,720 INFO] Epoch:1, Snapshot: 73; Loss: 0.6943
+[2024-06-11 19:04:24,674 INFO] Epoch:1, Snapshot: 74; Loss: 0.6943
+[2024-06-11 19:04:25,611 INFO] Epoch:1, Snapshot: 75; Loss: 0.6934
+[2024-06-11 19:04:26,580 INFO] Epoch:1, Snapshot: 76; Loss: 0.6938
+[2024-06-11 19:04:27,501 INFO] Epoch:1, Snapshot: 77; Loss: 0.6954
+[2024-06-11 19:04:28,455 INFO] Epoch:1, Snapshot: 78; Loss: 0.6940
+[2024-06-11 19:04:29,422 INFO] Epoch:1, Snapshot: 79; Loss: 0.6933
+[2024-06-11 19:04:30,362 INFO] Epoch:1, Snapshot: 80; Loss: 0.6931
+[2024-06-11 19:04:31,316 INFO] Epoch:1, Snapshot: 81; Loss: 0.6926
+[2024-06-11 19:04:32,285 INFO] Epoch:1, Snapshot: 82; Loss: 0.6927
+[2024-06-11 19:04:33,254 INFO] Epoch:1, Snapshot: 83; Loss: 0.6926
+[2024-06-11 19:04:34,253 INFO] Epoch:1, Snapshot: 84; Loss: 0.6973
+[2024-06-11 19:04:35,175 INFO] Epoch:1, Snapshot: 85; Loss: 0.6951
+[2024-06-11 19:04:36,112 INFO] Epoch:1, Snapshot: 86; Loss: 0.6925
+[2024-06-11 19:04:37,050 INFO] Epoch:1, Snapshot: 87; Loss: 0.6948
+[2024-06-11 19:04:37,973 INFO] Epoch:1, Snapshot: 88; Loss: 0.6932
+[2024-06-11 19:04:38,911 INFO] Epoch:1, Snapshot: 89; Loss: 0.6931
+[2024-06-11 19:04:39,817 INFO] Epoch:1, Snapshot: 90; Loss: 0.6950
+[2024-06-11 19:04:40,739 INFO] Epoch:1, Snapshot: 91; Loss: 0.6949
+[2024-06-11 19:04:41,661 INFO] Epoch:1, Snapshot: 92; Loss: 0.6926
+[2024-06-11 19:04:42,631 INFO] Epoch:1, Snapshot: 93; Loss: 0.6932
+[2024-06-11 19:04:43,600 INFO] Epoch:1, Snapshot: 94; Loss: 0.6940
+[2024-06-11 19:04:44,522 INFO] Epoch:1, Snapshot: 95; Loss: 0.6938
+[2024-06-11 19:04:45,461 INFO] Epoch:1, Snapshot: 96; Loss: 0.6941
+[2024-06-11 19:04:46,388 INFO] Epoch:1, Snapshot: 97; Loss: 0.6942
+[2024-06-11 19:04:47,336 INFO] Epoch:1, Snapshot: 98; Loss: 0.6938
+[2024-06-11 19:04:48,258 INFO] Epoch:1, Snapshot: 99; Loss: 0.6930
+[2024-06-11 19:04:49,179 INFO] Epoch:1, Snapshot: 100; Loss: 0.6923
+[2024-06-11 19:04:50,101 INFO] Epoch:1, Snapshot: 101; Loss: 0.6932
+[2024-06-11 19:04:51,023 INFO] Epoch:1, Snapshot: 102; Loss: 0.6947
+[2024-06-11 19:04:51,946 INFO] Epoch:1, Snapshot: 103; Loss: 0.6934
+[2024-06-11 19:04:52,883 INFO] Epoch:1, Snapshot: 104; Loss: 0.6935
+[2024-06-11 19:04:53,790 INFO] Epoch:1, Snapshot: 105; Loss: 0.6933
+[2024-06-11 19:04:54,743 INFO] Epoch:1, Snapshot: 106; Loss: 0.6929
+[2024-06-11 19:04:55,665 INFO] Epoch:1, Snapshot: 107; Loss: 0.6946
+[2024-06-11 19:04:56,618 INFO] Epoch:1, Snapshot: 108; Loss: 0.6945
+[2024-06-11 19:04:57,572 INFO] Epoch:1, Snapshot: 109; Loss: 0.6928
+[2024-06-11 19:04:58,509 INFO] Epoch:1, Snapshot: 110; Loss: 0.6944
+[2024-06-11 19:04:59,462 INFO] Epoch:1, Snapshot: 111; Loss: 0.6924
+[2024-06-11 19:05:00,384 INFO] Epoch:1, Snapshot: 112; Loss: 0.6940
+[2024-06-11 19:05:01,337 INFO] Epoch:1, Snapshot: 113; Loss: 0.6930
+[2024-06-11 19:05:02,275 INFO] Epoch:1, Snapshot: 114; Loss: 0.6930
+[2024-06-11 19:05:03,228 INFO] Epoch:1, Snapshot: 115; Loss: 0.6934
+[2024-06-11 19:05:04,166 INFO] Epoch:1, Snapshot: 116; Loss: 0.6931
+[2024-06-11 19:05:05,072 INFO] Epoch:1, Snapshot: 117; Loss: 0.6930
+[2024-06-11 19:05:05,994 INFO] Epoch:1, Snapshot: 118; Loss: 0.6926
+[2024-06-11 19:05:06,932 INFO] Epoch:1, Snapshot: 119; Loss: 0.6949
+[2024-06-11 19:05:07,870 INFO] Epoch:1, Snapshot: 120; Loss: 0.6925
+[2024-06-11 19:05:08,792 INFO] Epoch:1, Snapshot: 121; Loss: 0.6941
+[2024-06-11 19:05:09,729 INFO] Epoch:1, Snapshot: 122; Loss: 0.6928
+[2024-06-11 19:05:10,652 INFO] Epoch:1, Snapshot: 123; Loss: 0.6929
+[2024-06-11 19:05:11,589 INFO] Epoch:1, Snapshot: 124; Loss: 0.6943
+[2024-06-11 19:05:12,528 INFO] Epoch:1, Snapshot: 125; Loss: 0.6936
+[2024-06-11 19:05:13,466 INFO] Epoch:1, Snapshot: 126; Loss: 0.6932
+[2024-06-11 19:05:14,390 INFO] Epoch:1, Snapshot: 127; Loss: 0.6939
+[2024-06-11 19:05:15,326 INFO] Epoch:1, Snapshot: 128; Loss: 0.6944
+[2024-06-11 19:05:16,249 INFO] Epoch:1, Snapshot: 129; Loss: 0.6938
+[2024-06-11 19:05:17,202 INFO] Epoch:1, Snapshot: 130; Loss: 0.6932
+[2024-06-11 19:05:18,171 INFO] Epoch:1, Snapshot: 131; Loss: 0.6931
+[2024-06-11 19:05:19,093 INFO] Epoch:1, Snapshot: 132; Loss: 0.6931
+[2024-06-11 19:05:20,031 INFO] Epoch:1, Snapshot: 133; Loss: 0.6938
+[2024-06-11 19:05:20,969 INFO] Epoch:1, Snapshot: 134; Loss: 0.6930
+[2024-06-11 19:05:21,907 INFO] Epoch:1, Snapshot: 135; Loss: 0.6934
+[2024-06-11 19:05:22,844 INFO] Epoch:1, Snapshot: 136; Loss: 0.6932
+[2024-06-11 19:05:23,766 INFO] Epoch:1, Snapshot: 137; Loss: 0.6935
+[2024-06-11 19:05:24,689 INFO] Epoch:1, Snapshot: 138; Loss: 0.6943
+[2024-06-11 19:05:25,581 INFO] Epoch:1, Snapshot: 139; Loss: 0.6934
+[2024-06-11 19:05:26,534 INFO] Epoch:1, Snapshot: 140; Loss: 0.6930
+[2024-06-11 19:05:27,488 INFO] Epoch:1, Snapshot: 141; Loss: 0.6931
+[2024-06-11 19:05:28,426 INFO] Epoch:1, Snapshot: 142; Loss: 0.6931
+[2024-06-11 19:05:29,364 INFO] Epoch:1, Snapshot: 143; Loss: 0.6932
+[2024-06-11 19:05:30,302 INFO] Epoch:1, Snapshot: 144; Loss: 0.6931
+[2024-06-11 19:05:31,240 INFO] Epoch:1, Snapshot: 145; Loss: 0.6930
+[2024-06-11 19:05:32,162 INFO] Epoch:1, Snapshot: 146; Loss: 0.6938
+[2024-06-11 19:05:33,118 INFO] Epoch:1, Snapshot: 147; Loss: 0.6931
+[2024-06-11 19:05:34,037 INFO] Epoch:1, Snapshot: 148; Loss: 0.6932
+[2024-06-11 19:05:34,990 INFO] Epoch:1, Snapshot: 149; Loss: 0.6932
+[2024-06-11 19:05:35,944 INFO] Epoch:1, Snapshot: 150; Loss: 0.6932
+[2024-06-11 19:05:36,881 INFO] Epoch:1, Snapshot: 151; Loss: 0.6932
+[2024-06-11 19:05:37,850 INFO] Epoch:1, Snapshot: 152; Loss: 0.6933
+[2024-06-11 19:05:38,835 INFO] Epoch:1, Snapshot: 153; Loss: 0.6933
+[2024-06-11 19:05:39,789 INFO] Epoch:1, Snapshot: 154; Loss: 0.6931
+[2024-06-11 19:05:40,743 INFO] Epoch:1, Snapshot: 155; Loss: 0.6931
+[2024-06-11 19:05:41,670 INFO] Epoch:1, Snapshot: 156; Loss: 0.6935
+[2024-06-11 19:05:42,588 INFO] Epoch:1, Snapshot: 157; Loss: 0.6932
+[2024-06-11 19:05:43,494 INFO] Epoch:1, Snapshot: 158; Loss: 0.6931
+[2024-06-11 19:05:44,385 INFO] Epoch:1, Snapshot: 159; Loss: 0.6927
+[2024-06-11 19:05:45,307 INFO] Epoch:1, Snapshot: 160; Loss: 0.6930
+[2024-06-11 19:05:46,229 INFO] Epoch:1, Snapshot: 161; Loss: 0.6940
+[2024-06-11 19:05:47,166 INFO] Epoch:1, Snapshot: 162; Loss: 0.6930
+[2024-06-11 19:05:48,120 INFO] Epoch:1, Snapshot: 163; Loss: 0.6962
+[2024-06-11 19:05:49,042 INFO] Epoch:1, Snapshot: 164; Loss: 0.6922
+[2024-06-11 19:05:49,964 INFO] Epoch:1, Snapshot: 165; Loss: 0.6936
+[2024-06-11 19:05:50,869 INFO] Epoch:1, Snapshot: 166; Loss: 0.6931
+[2024-06-11 19:05:51,791 INFO] Epoch:1, Snapshot: 167; Loss: 0.6934
+[2024-06-11 19:05:52,730 INFO] Epoch:1, Snapshot: 168; Loss: 0.6939
+[2024-06-11 19:05:53,652 INFO] Epoch:1, Snapshot: 169; Loss: 0.6938
+[2024-06-11 19:05:54,620 INFO] Epoch:1, Snapshot: 170; Loss: 0.6930
+[2024-06-11 19:05:55,558 INFO] Epoch:1, Snapshot: 171; Loss: 0.6931
+[2024-06-11 19:05:56,573 INFO] Epoch:1, Snapshot: 172; Loss: 0.6931
+[2024-06-11 19:05:57,495 INFO] Epoch:1, Snapshot: 173; Loss: 0.6932
+[2024-06-11 19:05:58,433 INFO] Epoch:1, Snapshot: 174; Loss: 0.6931
+[2024-06-11 19:05:59,356 INFO] Epoch:1, Snapshot: 175; Loss: 0.6932
+[2024-06-11 19:06:00,293 INFO] Epoch:1, Snapshot: 176; Loss: 0.6926
+[2024-06-11 19:06:01,199 INFO] Epoch:1, Snapshot: 177; Loss: 0.6929
+[2024-06-11 19:06:02,137 INFO] Epoch:1, Snapshot: 178; Loss: 0.6944
+[2024-06-11 19:06:03,090 INFO] Epoch:1, Snapshot: 179; Loss: 0.6926
+[2024-06-11 19:06:04,028 INFO] Epoch:1, Snapshot: 180; Loss: 0.6934
+[2024-06-11 19:06:04,966 INFO] Epoch:1, Snapshot: 181; Loss: 0.6933
+[2024-06-11 19:06:05,904 INFO] Epoch:1, Snapshot: 182; Loss: 0.6933
+[2024-06-11 19:06:06,810 INFO] Epoch:1, Snapshot: 183; Loss: 0.6930
+[2024-06-11 19:06:07,732 INFO] Epoch:1, Snapshot: 184; Loss: 0.6931
+[2024-06-11 19:06:08,685 INFO] Epoch:1, Snapshot: 185; Loss: 0.6939
+[2024-06-11 19:06:09,623 INFO] Epoch:1, Snapshot: 186; Loss: 0.6944
+[2024-06-11 19:06:10,561 INFO] Epoch:1, Snapshot: 187; Loss: 0.6944
+[2024-06-11 19:06:11,528 INFO] Epoch:1, Snapshot: 188; Loss: 0.6934
+[2024-06-11 19:06:12,451 INFO] Epoch:1, Snapshot: 189; Loss: 0.6931
+[2024-06-11 19:06:13,404 INFO] Epoch:1, Snapshot: 190; Loss: 0.6931
+[2024-06-11 19:06:14,360 INFO] Epoch:1, Snapshot: 191; Loss: 0.6927
+[2024-06-11 19:06:15,280 INFO] Epoch:1, Snapshot: 192; Loss: 0.6954
+[2024-06-11 19:06:16,218 INFO] Epoch:1, Snapshot: 193; Loss: 0.6938
+[2024-06-11 19:06:17,155 INFO] Epoch:1, Snapshot: 194; Loss: 0.6928
+[2024-06-11 19:06:18,077 INFO] Epoch:1, Snapshot: 195; Loss: 0.6936
+[2024-06-11 19:06:18,984 INFO] Epoch:1, Snapshot: 196; Loss: 0.6931
+[2024-06-11 19:06:19,922 INFO] Epoch:1, Snapshot: 197; Loss: 0.6935
+[2024-06-11 19:06:20,829 INFO] Epoch:1, Snapshot: 198; Loss: 0.6934
+[2024-06-11 19:06:21,782 INFO] Epoch:1, Snapshot: 199; Loss: 0.6946
+[2024-06-11 19:06:22,719 INFO] Epoch:1, Snapshot: 200; Loss: 0.6926
+[2024-06-11 19:06:23,626 INFO] Epoch:1, Snapshot: 201; Loss: 0.6938
+[2024-06-11 19:06:24,548 INFO] Epoch:1, Snapshot: 202; Loss: 0.6936
+[2024-06-11 19:06:25,475 INFO] Epoch:1, Snapshot: 203; Loss: 0.6935
+[2024-06-11 19:06:26,421 INFO] Epoch:1, Snapshot: 204; Loss: 0.6928
+[2024-06-11 19:06:27,351 INFO] Epoch:1, Snapshot: 205; Loss: 0.6947
+[2024-06-11 19:06:28,284 INFO] Epoch:1, Snapshot: 206; Loss: 0.6928
+[2024-06-11 19:06:29,221 INFO] Epoch:1, Snapshot: 207; Loss: 0.6936
+[2024-06-11 19:06:30,143 INFO] Epoch:1, Snapshot: 208; Loss: 0.6933
+[2024-06-11 19:06:31,065 INFO] Epoch:1, Snapshot: 209; Loss: 0.6930
+[2024-06-11 19:06:31,987 INFO] Epoch:1, Snapshot: 210; Loss: 0.6930
+[2024-06-11 19:06:32,924 INFO] Epoch:1, Snapshot: 211; Loss: 0.6936
+[2024-06-11 19:06:33,862 INFO] Epoch:1, Snapshot: 212; Loss: 0.6946
+[2024-06-11 19:06:34,768 INFO] Epoch:1, Snapshot: 213; Loss: 0.6922
+[2024-06-11 19:06:35,690 INFO] Epoch:1, Snapshot: 214; Loss: 0.6940
+[2024-06-11 19:06:36,613 INFO] Epoch:1, Snapshot: 215; Loss: 0.6917
+[2024-06-11 19:06:37,551 INFO] Epoch:1, Snapshot: 216; Loss: 0.6929
+[2024-06-11 19:06:38,458 INFO] Epoch:1, Snapshot: 217; Loss: 0.6935
+[2024-06-11 19:06:39,426 INFO] Epoch:1, Snapshot: 218; Loss: 0.6930
+[2024-06-11 19:06:40,364 INFO] Epoch:1, Snapshot: 219; Loss: 0.6938
+[2024-06-11 19:06:41,286 INFO] Epoch:1, Snapshot: 220; Loss: 0.6931
+[2024-06-11 19:06:42,240 INFO] Epoch:1, Snapshot: 221; Loss: 0.6930
+[2024-06-11 19:06:43,178 INFO] Epoch:1, Snapshot: 222; Loss: 0.6941
+[2024-06-11 19:06:44,115 INFO] Epoch:1, Snapshot: 223; Loss: 0.6948
+[2024-06-11 19:06:45,038 INFO] Epoch:1, Snapshot: 224; Loss: 0.6955
+[2024-06-11 19:06:45,976 INFO] Epoch:1, Snapshot: 225; Loss: 0.6932
+[2024-06-11 19:06:46,945 INFO] Epoch:1, Snapshot: 226; Loss: 0.6951
+[2024-06-11 19:06:47,897 INFO] Epoch:1, Snapshot: 227; Loss: 0.6971
+[2024-06-11 19:06:48,804 INFO] Epoch:1, Snapshot: 228; Loss: 0.6924
+[2024-06-11 19:06:49,695 INFO] Epoch:1, Snapshot: 229; Loss: 0.6926
+[2024-06-11 19:06:50,617 INFO] Epoch:1, Snapshot: 230; Loss: 0.6930
+[2024-06-11 19:06:51,555 INFO] Epoch:1, Snapshot: 231; Loss: 0.6938
+[2024-06-11 19:06:52,493 INFO] Epoch:1, Snapshot: 232; Loss: 0.6932
+[2024-06-11 19:06:53,416 INFO] Epoch:1, Snapshot: 233; Loss: 0.6932
+[2024-06-11 19:06:54,306 INFO] Epoch:1, Snapshot: 234; Loss: 0.6931
+[2024-06-11 19:06:55,213 INFO] Epoch:1, Snapshot: 235; Loss: 0.6930
+[2024-06-11 19:06:56,119 INFO] Epoch:1, Snapshot: 236; Loss: 0.6935
+[2024-06-11 19:06:57,072 INFO] Epoch:1, Snapshot: 237; Loss: 0.6939
+[2024-06-11 19:06:57,978 INFO] Epoch:1, Snapshot: 238; Loss: 0.6934
+[2024-06-11 19:06:58,885 INFO] Epoch:1, Snapshot: 239; Loss: 0.6928
+[2024-06-11 19:06:59,792 INFO] Epoch:1, Snapshot: 240; Loss: 0.6951
+[2024-06-11 19:07:00,728 INFO] Epoch:1, Snapshot: 241; Loss: 0.6935
+[2024-06-11 19:07:01,650 INFO] Epoch:1, Snapshot: 242; Loss: 0.6940
+[2024-06-11 19:07:02,638 INFO] Epoch:1, Snapshot: 243; Loss: 0.6941
+[2024-06-11 19:07:03,557 INFO] Epoch:1, Snapshot: 244; Loss: 0.6932
+[2024-06-11 19:07:04,479 INFO] Epoch:1, Snapshot: 245; Loss: 0.6931
+[2024-06-11 19:07:05,401 INFO] Epoch:1, Snapshot: 246; Loss: 0.6942
+[2024-06-11 19:07:06,339 INFO] Epoch:1, Snapshot: 247; Loss: 0.6924
+[2024-06-11 19:07:07,278 INFO] Epoch:1, Snapshot: 248; Loss: 0.6922
+[2024-06-11 19:07:08,216 INFO] Epoch:1, Snapshot: 249; Loss: 0.6957
+[2024-06-11 19:07:09,148 INFO] Epoch:1, Snapshot: 250; Loss: 0.6932
+[2024-06-11 19:07:10,092 INFO] Epoch:1, Snapshot: 251; Loss: 0.6926
+[2024-06-11 19:07:10,952 INFO] Epoch:1, Snapshot: 252; Loss: 0.6930
+[2024-06-11 19:07:11,817 INFO] Epoch:1, Snapshot: 253; Loss: 0.6928
+[2024-06-11 19:07:12,671 INFO] Epoch:1, Snapshot: 254; Loss: 0.6931
+[2024-06-11 19:07:13,561 INFO] Epoch:1, Snapshot: 255; Loss: 0.6932
+[2024-06-11 19:07:14,499 INFO] Epoch:1, Snapshot: 256; Loss: 0.6933
+[2024-06-11 19:07:15,421 INFO] Epoch:1, Snapshot: 257; Loss: 0.6931
+[2024-06-11 19:07:16,344 INFO] Epoch:1, Snapshot: 258; Loss: 0.6931
+[2024-06-11 19:07:17,219 INFO] Epoch:1, Snapshot: 259; Loss: 0.6932
+[2024-06-11 19:07:18,093 INFO] Epoch:1, Snapshot: 260; Loss: 0.6932
+[2024-06-11 19:07:18,937 INFO] Epoch:1, Snapshot: 261; Loss: 0.6931
+[2024-06-11 19:07:19,765 INFO] Epoch:1, Snapshot: 262; Loss: 0.6929
+[2024-06-11 19:07:20,593 INFO] Epoch:1, Snapshot: 263; Loss: 0.6936
+[2024-06-11 19:07:21,437 INFO] Epoch:1, Snapshot: 264; Loss: 0.6937
+[2024-06-11 19:07:22,344 INFO] Epoch:1, Snapshot: 265; Loss: 0.6931
+[2024-06-11 19:07:23,220 INFO] Epoch:1, Snapshot: 266; Loss: 0.6933
+[2024-06-11 19:07:24,067 INFO] Epoch:1, Snapshot: 267; Loss: 0.6930
+[2024-06-11 19:07:24,922 INFO] Epoch:1, Snapshot: 268; Loss: 0.6932
+[2024-06-11 19:07:25,767 INFO] Epoch:1, Snapshot: 269; Loss: 0.6931
+[2024-06-11 19:07:26,627 INFO] Epoch:1, Snapshot: 270; Loss: 0.6932
+[2024-06-11 19:07:27,518 INFO] Epoch:1, Snapshot: 271; Loss: 0.6930
+[2024-06-11 19:07:28,377 INFO] Epoch:1, Snapshot: 272; Loss: 0.6934
+[2024-06-11 19:07:29,237 INFO] Epoch:1, Snapshot: 273; Loss: 0.6937
+[2024-06-11 19:07:30,081 INFO] Epoch:1, Snapshot: 274; Loss: 0.6929
+[2024-06-11 19:07:30,925 INFO] Epoch:1, Snapshot: 275; Loss: 0.6935
+[2024-06-11 19:07:31,769 INFO] Epoch:1, Snapshot: 276; Loss: 0.6931
+[2024-06-11 19:07:32,614 INFO] Epoch:1, Snapshot: 277; Loss: 0.6921
+[2024-06-11 19:07:33,489 INFO] Epoch:1, Snapshot: 278; Loss: 0.6941
+[2024-06-11 19:07:34,349 INFO] Epoch:1, Snapshot: 279; Loss: 0.6951
+[2024-06-11 19:07:35,192 INFO] Epoch:1, Snapshot: 280; Loss: 0.6946
+[2024-06-11 19:07:36,067 INFO] Epoch:1, Snapshot: 281; Loss: 0.6943
+[2024-06-11 19:07:36,957 INFO] Epoch:1, Snapshot: 282; Loss: 0.6922
+[2024-06-11 19:07:37,818 INFO] Epoch:1, Snapshot: 283; Loss: 0.6933
+[2024-06-11 19:07:38,677 INFO] Epoch:1, Snapshot: 284; Loss: 0.6931
+[2024-06-11 19:07:39,537 INFO] Epoch:1, Snapshot: 285; Loss: 0.6937
+[2024-06-11 19:07:40,396 INFO] Epoch:1, Snapshot: 286; Loss: 0.6928
+[2024-06-11 19:07:41,240 INFO] Epoch:1, Snapshot: 287; Loss: 0.6931
+[2024-06-11 19:07:42,084 INFO] Epoch:1, Snapshot: 288; Loss: 0.6926
+[2024-06-11 19:07:42,928 INFO] Epoch:1, Snapshot: 289; Loss: 0.6934
+[2024-06-11 19:07:43,787 INFO] Epoch:1, Snapshot: 290; Loss: 0.6928
+[2024-06-11 19:07:44,647 INFO] Epoch:1, Snapshot: 291; Loss: 0.6935
+[2024-06-11 19:07:45,521 INFO] Epoch:1, Snapshot: 292; Loss: 0.6938
+[2024-06-11 19:07:46,366 INFO] Epoch:1, Snapshot: 293; Loss: 0.6932
+[2024-06-11 19:07:47,225 INFO] Epoch:1, Snapshot: 294; Loss: 0.6936
+[2024-06-11 19:07:48,101 INFO] Epoch:1, Snapshot: 295; Loss: 0.6932
+[2024-06-11 19:07:48,961 INFO] Epoch:1, Snapshot: 296; Loss: 0.6935
+[2024-06-11 19:07:49,819 INFO] Epoch:1, Snapshot: 297; Loss: 0.6943
+[2024-06-11 19:07:50,663 INFO] Epoch:1, Snapshot: 298; Loss: 0.6939
+[2024-06-11 19:07:51,522 INFO] Epoch:1, Snapshot: 299; Loss: 0.6934
+[2024-06-11 19:07:52,397 INFO] Epoch:1, Snapshot: 300; Loss: 0.6938
+[2024-06-11 19:07:53,241 INFO] Epoch:1, Snapshot: 301; Loss: 0.6921
+[2024-06-11 19:07:54,116 INFO] Epoch:1, Snapshot: 302; Loss: 0.6920
+[2024-06-11 19:07:54,960 INFO] Epoch:1, Snapshot: 303; Loss: 0.6927
+[2024-06-11 19:07:55,804 INFO] Epoch:1, Snapshot: 304; Loss: 0.6973
+[2024-06-11 19:07:56,665 INFO] Epoch:1, Snapshot: 305; Loss: 0.6935
+[2024-06-11 19:07:57,509 INFO] Epoch:1, Snapshot: 306; Loss: 0.6937
+[2024-06-11 19:07:58,368 INFO] Epoch:1, Snapshot: 307; Loss: 0.6931
+[2024-06-11 19:07:59,212 INFO] Epoch:1, Snapshot: 308; Loss: 0.6932
+[2024-06-11 19:08:00,072 INFO] Epoch:1, Snapshot: 309; Loss: 0.6955
+[2024-06-11 19:08:00,947 INFO] Epoch:1, Snapshot: 310; Loss: 0.6936
+[2024-06-11 19:08:01,791 INFO] Epoch:1, Snapshot: 311; Loss: 0.6936
+[2024-06-11 19:08:02,652 INFO] Epoch:1, Snapshot: 312; Loss: 0.6934
+[2024-06-11 19:08:03,512 INFO] Epoch:1, Snapshot: 313; Loss: 0.6931
+[2024-06-11 19:08:04,356 INFO] Epoch:1, Snapshot: 314; Loss: 0.6929
+[2024-06-11 19:08:05,247 INFO] Epoch:1, Snapshot: 315; Loss: 0.6932
+[2024-06-11 19:08:06,106 INFO] Epoch:1, Snapshot: 316; Loss: 0.6935
+[2024-06-11 19:08:06,965 INFO] Epoch:1, Snapshot: 317; Loss: 0.6937
+[2024-06-11 19:12:36,816 INFO] ==========================================================================================
+[2024-06-11 19:12:36,816 INFO] Epoch:1, Loss: 0.7053, Time: 566.101, GPU: 418.4MiB
+[2024-06-11 19:12:36,816 INFO] Epoch:1, Accuracy: 0.4995; F1: 0.0000; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, Memory: 471.1244, time: 754.6564
+[2024-06-11 19:12:37,441 INFO] Epoch:2, Snapshot: 0; Loss: 0.7135
+[2024-06-11 19:12:38,472 INFO] Epoch:2, Snapshot: 1; Loss: 0.6934
+[2024-06-11 19:12:39,535 INFO] Epoch:2, Snapshot: 2; Loss: 0.6934
+[2024-06-11 19:12:40,629 INFO] Epoch:2, Snapshot: 3; Loss: 0.6933
+[2024-06-11 19:12:41,696 INFO] Epoch:2, Snapshot: 4; Loss: 0.6931
+[2024-06-11 19:12:42,753 INFO] Epoch:2, Snapshot: 5; Loss: 0.6929
+[2024-06-11 19:12:43,801 INFO] Epoch:2, Snapshot: 6; Loss: 0.6938
+[2024-06-11 19:12:44,879 INFO] Epoch:2, Snapshot: 7; Loss: 0.6930
+[2024-06-11 19:12:45,942 INFO] Epoch:2, Snapshot: 8; Loss: 0.6927
+[2024-06-11 19:12:47,036 INFO] Epoch:2, Snapshot: 9; Loss: 0.6933
+[2024-06-11 19:12:48,115 INFO] Epoch:2, Snapshot: 10; Loss: 0.6933
+[2024-06-11 19:12:49,145 INFO] Epoch:2, Snapshot: 11; Loss: 0.6931
+[2024-06-11 19:12:50,240 INFO] Epoch:2, Snapshot: 12; Loss: 0.6930
+[2024-06-11 19:12:51,319 INFO] Epoch:2, Snapshot: 13; Loss: 0.6932
+[2024-06-11 19:12:52,365 INFO] Epoch:2, Snapshot: 14; Loss: 0.6931
+[2024-06-11 19:12:53,428 INFO] Epoch:2, Snapshot: 15; Loss: 0.6931
+[2024-06-11 19:12:54,491 INFO] Epoch:2, Snapshot: 16; Loss: 0.6927
+[2024-06-11 19:12:55,679 INFO] Epoch:2, Snapshot: 17; Loss: 0.6919
+[2024-06-11 19:12:56,758 INFO] Epoch:2, Snapshot: 18; Loss: 0.6953
+[2024-06-11 19:12:57,711 INFO] Epoch:2, Snapshot: 19; Loss: 0.6969
+[2024-06-11 19:12:58,633 INFO] Epoch:2, Snapshot: 20; Loss: 0.6943
+[2024-06-11 19:12:59,556 INFO] Epoch:2, Snapshot: 21; Loss: 0.6930
+[2024-06-11 19:13:00,477 INFO] Epoch:2, Snapshot: 22; Loss: 0.6930
+[2024-06-11 19:13:01,399 INFO] Epoch:2, Snapshot: 23; Loss: 0.6932
+[2024-06-11 19:13:02,353 INFO] Epoch:2, Snapshot: 24; Loss: 0.6931
+[2024-06-11 19:13:03,291 INFO] Epoch:2, Snapshot: 25; Loss: 0.6940
+[2024-06-11 19:13:04,197 INFO] Epoch:2, Snapshot: 26; Loss: 0.6936
+[2024-06-11 19:13:05,104 INFO] Epoch:2, Snapshot: 27; Loss: 0.6938
+[2024-06-11 19:13:06,028 INFO] Epoch:2, Snapshot: 28; Loss: 0.6959
+[2024-06-11 19:13:07,011 INFO] Epoch:2, Snapshot: 29; Loss: 0.6939
+[2024-06-11 19:13:07,933 INFO] Epoch:2, Snapshot: 30; Loss: 0.6926
+[2024-06-11 19:13:08,902 INFO] Epoch:2, Snapshot: 31; Loss: 0.6948
+[2024-06-11 19:13:09,855 INFO] Epoch:2, Snapshot: 32; Loss: 0.7020
+[2024-06-11 19:13:10,824 INFO] Epoch:2, Snapshot: 33; Loss: 0.6956
+[2024-06-11 19:13:11,777 INFO] Epoch:2, Snapshot: 34; Loss: 0.6983
+[2024-06-11 19:13:12,746 INFO] Epoch:2, Snapshot: 35; Loss: 0.6930
+[2024-06-11 19:13:13,700 INFO] Epoch:2, Snapshot: 36; Loss: 0.6942
+[2024-06-11 19:13:14,669 INFO] Epoch:2, Snapshot: 37; Loss: 0.6942
+[2024-06-11 19:13:15,606 INFO] Epoch:2, Snapshot: 38; Loss: 0.6954
+[2024-06-11 19:13:16,575 INFO] Epoch:2, Snapshot: 39; Loss: 0.6934
+[2024-06-11 19:13:17,590 INFO] Epoch:2, Snapshot: 40; Loss: 0.6957
+[2024-06-11 19:13:18,606 INFO] Epoch:2, Snapshot: 41; Loss: 0.6943
+[2024-06-11 19:13:19,576 INFO] Epoch:2, Snapshot: 42; Loss: 0.6934
+[2024-06-11 19:13:20,514 INFO] Epoch:2, Snapshot: 43; Loss: 0.6949
+[2024-06-11 19:13:21,514 INFO] Epoch:2, Snapshot: 44; Loss: 0.6917
+[2024-06-11 19:13:22,498 INFO] Epoch:2, Snapshot: 45; Loss: 0.6982
+[2024-06-11 19:13:23,483 INFO] Epoch:2, Snapshot: 46; Loss: 0.6975
+[2024-06-11 19:13:24,437 INFO] Epoch:2, Snapshot: 47; Loss: 0.6940
+[2024-06-11 19:13:25,391 INFO] Epoch:2, Snapshot: 48; Loss: 0.6930
+[2024-06-11 19:13:26,344 INFO] Epoch:2, Snapshot: 49; Loss: 0.6951
+[2024-06-11 19:13:27,298 INFO] Epoch:2, Snapshot: 50; Loss: 0.6951
+[2024-06-11 19:13:28,360 INFO] Epoch:2, Snapshot: 51; Loss: 0.6971
+[2024-06-11 19:13:29,360 INFO] Epoch:2, Snapshot: 52; Loss: 0.6971
+[2024-06-11 19:13:30,346 INFO] Epoch:2, Snapshot: 53; Loss: 0.6945
+[2024-06-11 19:13:31,315 INFO] Epoch:2, Snapshot: 54; Loss: 0.6933
+[2024-06-11 19:13:32,315 INFO] Epoch:2, Snapshot: 55; Loss: 0.6964
+[2024-06-11 19:13:33,253 INFO] Epoch:2, Snapshot: 56; Loss: 0.6975
+[2024-06-11 19:13:34,209 INFO] Epoch:2, Snapshot: 57; Loss: 0.6953
+[2024-06-11 19:13:35,178 INFO] Epoch:2, Snapshot: 58; Loss: 0.6946
+[2024-06-11 19:13:36,145 INFO] Epoch:2, Snapshot: 59; Loss: 0.6939
+[2024-06-11 19:13:37,114 INFO] Epoch:2, Snapshot: 60; Loss: 0.6929
+[2024-06-11 19:13:38,052 INFO] Epoch:2, Snapshot: 61; Loss: 0.6930
+[2024-06-11 19:13:39,021 INFO] Epoch:2, Snapshot: 62; Loss: 0.6926
+[2024-06-11 19:13:40,021 INFO] Epoch:2, Snapshot: 63; Loss: 0.6942
+[2024-06-11 19:13:40,975 INFO] Epoch:2, Snapshot: 64; Loss: 0.6962
+[2024-06-11 19:13:41,913 INFO] Epoch:2, Snapshot: 65; Loss: 0.6944
+[2024-06-11 19:13:42,836 INFO] Epoch:2, Snapshot: 66; Loss: 0.6930
+[2024-06-11 19:13:43,788 INFO] Epoch:2, Snapshot: 67; Loss: 0.6931
+[2024-06-11 19:13:44,710 INFO] Epoch:2, Snapshot: 68; Loss: 0.6932
+[2024-06-11 19:13:45,617 INFO] Epoch:2, Snapshot: 69; Loss: 0.6937
+[2024-06-11 19:13:46,570 INFO] Epoch:2, Snapshot: 70; Loss: 0.6930
+[2024-06-11 19:13:47,492 INFO] Epoch:2, Snapshot: 71; Loss: 0.6958
+[2024-06-11 19:13:48,414 INFO] Epoch:2, Snapshot: 72; Loss: 0.6927
+[2024-06-11 19:13:49,368 INFO] Epoch:2, Snapshot: 73; Loss: 0.6928
+[2024-06-11 19:13:50,290 INFO] Epoch:2, Snapshot: 74; Loss: 0.6928
+[2024-06-11 19:13:51,337 INFO] Epoch:2, Snapshot: 75; Loss: 0.6931
+[2024-06-11 19:13:52,322 INFO] Epoch:2, Snapshot: 76; Loss: 0.6931
+[2024-06-11 19:13:53,260 INFO] Epoch:2, Snapshot: 77; Loss: 0.6932
+[2024-06-11 19:13:54,213 INFO] Epoch:2, Snapshot: 78; Loss: 0.6930
+[2024-06-11 19:13:55,151 INFO] Epoch:2, Snapshot: 79; Loss: 0.6932
+[2024-06-11 19:13:56,105 INFO] Epoch:2, Snapshot: 80; Loss: 0.6930
+[2024-06-11 19:13:57,105 INFO] Epoch:2, Snapshot: 81; Loss: 0.6924
+[2024-06-11 19:13:58,058 INFO] Epoch:2, Snapshot: 82; Loss: 0.6927
+[2024-06-11 19:13:58,996 INFO] Epoch:2, Snapshot: 83; Loss: 0.6925
+[2024-06-11 19:13:59,950 INFO] Epoch:2, Snapshot: 84; Loss: 0.6955
+[2024-06-11 19:14:00,887 INFO] Epoch:2, Snapshot: 85; Loss: 0.6936
+[2024-06-11 19:14:01,809 INFO] Epoch:2, Snapshot: 86; Loss: 0.6928
+[2024-06-11 19:14:02,747 INFO] Epoch:2, Snapshot: 87; Loss: 0.6931
+[2024-06-11 19:14:03,668 INFO] Epoch:2, Snapshot: 88; Loss: 0.6935
+[2024-06-11 19:14:04,591 INFO] Epoch:2, Snapshot: 89; Loss: 0.6940
+[2024-06-11 19:14:05,498 INFO] Epoch:2, Snapshot: 90; Loss: 0.6947
+[2024-06-11 19:14:06,468 INFO] Epoch:2, Snapshot: 91; Loss: 0.6932
+[2024-06-11 19:14:07,437 INFO] Epoch:2, Snapshot: 92; Loss: 0.6940
+[2024-06-11 19:14:08,406 INFO] Epoch:2, Snapshot: 93; Loss: 0.6935
+[2024-06-11 19:14:09,359 INFO] Epoch:2, Snapshot: 94; Loss: 0.6927
+[2024-06-11 19:14:10,296 INFO] Epoch:2, Snapshot: 95; Loss: 0.6927
+[2024-06-11 19:14:11,219 INFO] Epoch:2, Snapshot: 96; Loss: 0.6933
+[2024-06-11 19:14:12,126 INFO] Epoch:2, Snapshot: 97; Loss: 0.6932
+[2024-06-11 19:14:13,064 INFO] Epoch:2, Snapshot: 98; Loss: 0.6940
+[2024-06-11 19:14:13,986 INFO] Epoch:2, Snapshot: 99; Loss: 0.6930
+[2024-06-11 19:14:14,923 INFO] Epoch:2, Snapshot: 100; Loss: 0.6932
+[2024-06-11 19:14:15,815 INFO] Epoch:2, Snapshot: 101; Loss: 0.6931
+[2024-06-11 19:14:16,753 INFO] Epoch:2, Snapshot: 102; Loss: 0.6933
+[2024-06-11 19:14:17,660 INFO] Epoch:2, Snapshot: 103; Loss: 0.6932
+[2024-06-11 19:14:18,567 INFO] Epoch:2, Snapshot: 104; Loss: 0.6931
+[2024-06-11 19:14:19,504 INFO] Epoch:2, Snapshot: 105; Loss: 0.6928
+[2024-06-11 19:14:20,427 INFO] Epoch:2, Snapshot: 106; Loss: 0.6928
+[2024-06-11 19:14:21,365 INFO] Epoch:2, Snapshot: 107; Loss: 0.6940
+[2024-06-11 19:14:22,318 INFO] Epoch:2, Snapshot: 108; Loss: 0.6934
+[2024-06-11 19:14:23,257 INFO] Epoch:2, Snapshot: 109; Loss: 0.6926
+[2024-06-11 19:14:24,194 INFO] Epoch:2, Snapshot: 110; Loss: 0.6936
+[2024-06-11 19:14:25,147 INFO] Epoch:2, Snapshot: 111; Loss: 0.6924
+[2024-06-11 19:14:26,084 INFO] Epoch:2, Snapshot: 112; Loss: 0.6931
+[2024-06-11 19:14:27,038 INFO] Epoch:2, Snapshot: 113; Loss: 0.6930
+[2024-06-11 19:14:27,960 INFO] Epoch:2, Snapshot: 114; Loss: 0.6930
+[2024-06-11 19:14:28,882 INFO] Epoch:2, Snapshot: 115; Loss: 0.6933
+[2024-06-11 19:14:29,882 INFO] Epoch:2, Snapshot: 116; Loss: 0.6931
+[2024-06-11 19:14:30,805 INFO] Epoch:2, Snapshot: 117; Loss: 0.6933
+[2024-06-11 19:14:31,742 INFO] Epoch:2, Snapshot: 118; Loss: 0.6929
+[2024-06-11 19:14:32,664 INFO] Epoch:2, Snapshot: 119; Loss: 0.6941
+[2024-06-11 19:14:33,602 INFO] Epoch:2, Snapshot: 120; Loss: 0.6926
+[2024-06-11 19:14:34,524 INFO] Epoch:2, Snapshot: 121; Loss: 0.6936
+[2024-06-11 19:14:35,446 INFO] Epoch:2, Snapshot: 122; Loss: 0.6928
+[2024-06-11 19:14:36,400 INFO] Epoch:2, Snapshot: 123; Loss: 0.6929
+[2024-06-11 19:14:37,370 INFO] Epoch:2, Snapshot: 124; Loss: 0.6942
+[2024-06-11 19:14:38,306 INFO] Epoch:2, Snapshot: 125; Loss: 0.6935
+[2024-06-11 19:14:39,259 INFO] Epoch:2, Snapshot: 126; Loss: 0.6932
+[2024-06-11 19:14:40,181 INFO] Epoch:2, Snapshot: 127; Loss: 0.6939
+[2024-06-11 19:14:41,104 INFO] Epoch:2, Snapshot: 128; Loss: 0.6943
+[2024-06-11 19:14:42,026 INFO] Epoch:2, Snapshot: 129; Loss: 0.6937
+[2024-06-11 19:14:42,963 INFO] Epoch:2, Snapshot: 130; Loss: 0.6931
+[2024-06-11 19:14:43,917 INFO] Epoch:2, Snapshot: 131; Loss: 0.6934
+[2024-06-11 19:14:44,854 INFO] Epoch:2, Snapshot: 132; Loss: 0.6931
+[2024-06-11 19:14:45,824 INFO] Epoch:2, Snapshot: 133; Loss: 0.6948
+[2024-06-11 19:14:46,777 INFO] Epoch:2, Snapshot: 134; Loss: 0.6930
+[2024-06-11 19:14:47,699 INFO] Epoch:2, Snapshot: 135; Loss: 0.6933
+[2024-06-11 19:14:48,636 INFO] Epoch:2, Snapshot: 136; Loss: 0.6928
+[2024-06-11 19:14:49,558 INFO] Epoch:2, Snapshot: 137; Loss: 0.6943
+[2024-06-11 19:14:50,481 INFO] Epoch:2, Snapshot: 138; Loss: 0.6958
+[2024-06-11 19:14:51,450 INFO] Epoch:2, Snapshot: 139; Loss: 0.6938
+[2024-06-11 19:14:52,388 INFO] Epoch:2, Snapshot: 140; Loss: 0.6929
+[2024-06-11 19:14:53,310 INFO] Epoch:2, Snapshot: 141; Loss: 0.6932
+[2024-06-11 19:14:54,232 INFO] Epoch:2, Snapshot: 142; Loss: 0.6932
+[2024-06-11 19:14:55,201 INFO] Epoch:2, Snapshot: 143; Loss: 0.6934
+[2024-06-11 19:14:56,139 INFO] Epoch:2, Snapshot: 144; Loss: 0.6932
+[2024-06-11 19:14:57,076 INFO] Epoch:2, Snapshot: 145; Loss: 0.6928
+[2024-06-11 19:14:58,000 INFO] Epoch:2, Snapshot: 146; Loss: 0.6941
+[2024-06-11 19:14:58,938 INFO] Epoch:2, Snapshot: 147; Loss: 0.6931
+[2024-06-11 19:14:59,860 INFO] Epoch:2, Snapshot: 148; Loss: 0.6931
+[2024-06-11 19:15:00,799 INFO] Epoch:2, Snapshot: 149; Loss: 0.6934
+[2024-06-11 19:15:01,736 INFO] Epoch:2, Snapshot: 150; Loss: 0.6934
+[2024-06-11 19:15:02,674 INFO] Epoch:2, Snapshot: 151; Loss: 0.6933
+[2024-06-11 19:15:03,596 INFO] Epoch:2, Snapshot: 152; Loss: 0.6931
+[2024-06-11 19:15:04,549 INFO] Epoch:2, Snapshot: 153; Loss: 0.6932
+[2024-06-11 19:15:05,472 INFO] Epoch:2, Snapshot: 154; Loss: 0.6932
+[2024-06-11 19:15:06,472 INFO] Epoch:2, Snapshot: 155; Loss: 0.6932
+[2024-06-11 19:15:07,425 INFO] Epoch:2, Snapshot: 156; Loss: 0.6931
+[2024-06-11 19:15:08,346 INFO] Epoch:2, Snapshot: 157; Loss: 0.6931
+[2024-06-11 19:15:09,238 INFO] Epoch:2, Snapshot: 158; Loss: 0.6930
+[2024-06-11 19:15:10,143 INFO] Epoch:2, Snapshot: 159; Loss: 0.6925
+[2024-06-11 19:15:11,066 INFO] Epoch:2, Snapshot: 160; Loss: 0.6930
+[2024-06-11 19:15:12,010 INFO] Epoch:2, Snapshot: 161; Loss: 0.6940
+[2024-06-11 19:15:12,956 INFO] Epoch:2, Snapshot: 162; Loss: 0.6929
+[2024-06-11 19:15:13,910 INFO] Epoch:2, Snapshot: 163; Loss: 0.6954
+[2024-06-11 19:15:14,847 INFO] Epoch:2, Snapshot: 164; Loss: 0.6928
+[2024-06-11 19:15:15,753 INFO] Epoch:2, Snapshot: 165; Loss: 0.6931
+[2024-06-11 19:15:16,691 INFO] Epoch:2, Snapshot: 166; Loss: 0.6933
+[2024-06-11 19:15:17,691 INFO] Epoch:2, Snapshot: 167; Loss: 0.6937
+[2024-06-11 19:15:18,628 INFO] Epoch:2, Snapshot: 168; Loss: 0.6941
+[2024-06-11 19:15:19,550 INFO] Epoch:2, Snapshot: 169; Loss: 0.6935
+[2024-06-11 19:15:20,472 INFO] Epoch:2, Snapshot: 170; Loss: 0.6933
+[2024-06-11 19:15:21,457 INFO] Epoch:2, Snapshot: 171; Loss: 0.6940
+[2024-06-11 19:15:22,410 INFO] Epoch:2, Snapshot: 172; Loss: 0.6939
+[2024-06-11 19:15:23,380 INFO] Epoch:2, Snapshot: 173; Loss: 0.6932
+[2024-06-11 19:15:24,319 INFO] Epoch:2, Snapshot: 174; Loss: 0.6931
+[2024-06-11 19:15:25,241 INFO] Epoch:2, Snapshot: 175; Loss: 0.6933
+[2024-06-11 19:15:26,195 INFO] Epoch:2, Snapshot: 176; Loss: 0.6923
+[2024-06-11 19:15:27,101 INFO] Epoch:2, Snapshot: 177; Loss: 0.6930
+[2024-06-11 19:15:28,023 INFO] Epoch:2, Snapshot: 178; Loss: 0.6955
+[2024-06-11 19:15:28,945 INFO] Epoch:2, Snapshot: 179; Loss: 0.6926
+[2024-06-11 19:15:29,882 INFO] Epoch:2, Snapshot: 180; Loss: 0.6934
+[2024-06-11 19:15:30,804 INFO] Epoch:2, Snapshot: 181; Loss: 0.6931
+[2024-06-11 19:15:31,725 INFO] Epoch:2, Snapshot: 182; Loss: 0.6931
+[2024-06-11 19:15:32,647 INFO] Epoch:2, Snapshot: 183; Loss: 0.6927
+[2024-06-11 19:15:33,586 INFO] Epoch:2, Snapshot: 184; Loss: 0.6932
+[2024-06-11 19:15:34,507 INFO] Epoch:2, Snapshot: 185; Loss: 0.6945
+[2024-06-11 19:15:35,433 INFO] Epoch:2, Snapshot: 186; Loss: 0.6949
+[2024-06-11 19:15:36,352 INFO] Epoch:2, Snapshot: 187; Loss: 0.6943
+[2024-06-11 19:15:37,258 INFO] Epoch:2, Snapshot: 188; Loss: 0.6932
+[2024-06-11 19:15:38,194 INFO] Epoch:2, Snapshot: 189; Loss: 0.6933
+[2024-06-11 19:15:39,117 INFO] Epoch:2, Snapshot: 190; Loss: 0.6935
+[2024-06-11 19:15:40,055 INFO] Epoch:2, Snapshot: 191; Loss: 0.6928
+[2024-06-11 19:15:40,961 INFO] Epoch:2, Snapshot: 192; Loss: 0.6965
+[2024-06-11 19:15:41,899 INFO] Epoch:2, Snapshot: 193; Loss: 0.6939
+[2024-06-11 19:15:42,853 INFO] Epoch:2, Snapshot: 194; Loss: 0.6929
+[2024-06-11 19:15:43,775 INFO] Epoch:2, Snapshot: 195; Loss: 0.6930
+[2024-06-11 19:15:44,697 INFO] Epoch:2, Snapshot: 196; Loss: 0.6929
+[2024-06-11 19:15:45,619 INFO] Epoch:2, Snapshot: 197; Loss: 0.6944
+[2024-06-11 19:15:46,541 INFO] Epoch:2, Snapshot: 198; Loss: 0.6938
+[2024-06-11 19:15:47,463 INFO] Epoch:2, Snapshot: 199; Loss: 0.6950
+[2024-06-11 19:15:48,401 INFO] Epoch:2, Snapshot: 200; Loss: 0.6927
+[2024-06-11 19:15:49,354 INFO] Epoch:2, Snapshot: 201; Loss: 0.6933
+[2024-06-11 19:15:50,276 INFO] Epoch:2, Snapshot: 202; Loss: 0.6928
+[2024-06-11 19:15:51,199 INFO] Epoch:2, Snapshot: 203; Loss: 0.6950
+[2024-06-11 19:15:52,136 INFO] Epoch:2, Snapshot: 204; Loss: 0.6926
+[2024-06-11 19:15:53,058 INFO] Epoch:2, Snapshot: 205; Loss: 0.6957
+[2024-06-11 19:15:54,073 INFO] Epoch:2, Snapshot: 206; Loss: 0.6928
+[2024-06-11 19:15:55,026 INFO] Epoch:2, Snapshot: 207; Loss: 0.6933
+[2024-06-11 19:15:55,968 INFO] Epoch:2, Snapshot: 208; Loss: 0.6931
+[2024-06-11 19:15:56,917 INFO] Epoch:2, Snapshot: 209; Loss: 0.6926
+[2024-06-11 19:15:57,855 INFO] Epoch:2, Snapshot: 210; Loss: 0.6934
+[2024-06-11 19:15:58,792 INFO] Epoch:2, Snapshot: 211; Loss: 0.6943
+[2024-06-11 19:15:59,715 INFO] Epoch:2, Snapshot: 212; Loss: 0.6951
+[2024-06-11 19:16:00,637 INFO] Epoch:2, Snapshot: 213; Loss: 0.6922
+[2024-06-11 19:16:01,606 INFO] Epoch:2, Snapshot: 214; Loss: 0.6935
+[2024-06-11 19:16:02,512 INFO] Epoch:2, Snapshot: 215; Loss: 0.6929
+[2024-06-11 19:16:03,435 INFO] Epoch:2, Snapshot: 216; Loss: 0.6931
+[2024-06-11 19:16:04,357 INFO] Epoch:2, Snapshot: 217; Loss: 0.6932
+[2024-06-11 19:16:05,297 INFO] Epoch:2, Snapshot: 218; Loss: 0.6930
+[2024-06-11 19:16:06,232 INFO] Epoch:2, Snapshot: 219; Loss: 0.6937
+[2024-06-11 19:16:07,154 INFO] Epoch:2, Snapshot: 220; Loss: 0.6932
+[2024-06-11 19:16:08,091 INFO] Epoch:2, Snapshot: 221; Loss: 0.6930
+[2024-06-11 19:16:09,076 INFO] Epoch:2, Snapshot: 222; Loss: 0.6936
+[2024-06-11 19:16:10,028 INFO] Epoch:2, Snapshot: 223; Loss: 0.6941
+[2024-06-11 19:16:10,935 INFO] Epoch:2, Snapshot: 224; Loss: 0.6943
+[2024-06-11 19:16:11,872 INFO] Epoch:2, Snapshot: 225; Loss: 0.6926
+[2024-06-11 19:16:12,810 INFO] Epoch:2, Snapshot: 226; Loss: 0.6961
+[2024-06-11 19:16:13,767 INFO] Epoch:2, Snapshot: 227; Loss: 0.6978
+[2024-06-11 19:16:14,671 INFO] Epoch:2, Snapshot: 228; Loss: 0.6923
+[2024-06-11 19:16:15,608 INFO] Epoch:2, Snapshot: 229; Loss: 0.6926
+[2024-06-11 19:16:16,530 INFO] Epoch:2, Snapshot: 230; Loss: 0.6929
+[2024-06-11 19:16:17,452 INFO] Epoch:2, Snapshot: 231; Loss: 0.6933
+[2024-06-11 19:16:18,389 INFO] Epoch:2, Snapshot: 232; Loss: 0.6932
+[2024-06-11 19:16:19,343 INFO] Epoch:2, Snapshot: 233; Loss: 0.6938
+[2024-06-11 19:16:20,249 INFO] Epoch:2, Snapshot: 234; Loss: 0.6931
+[2024-06-11 19:16:21,155 INFO] Epoch:2, Snapshot: 235; Loss: 0.6930
+[2024-06-11 19:16:22,062 INFO] Epoch:2, Snapshot: 236; Loss: 0.6933
+[2024-06-11 19:16:22,969 INFO] Epoch:2, Snapshot: 237; Loss: 0.6933
+[2024-06-11 19:16:23,875 INFO] Epoch:2, Snapshot: 238; Loss: 0.6928
+[2024-06-11 19:16:24,798 INFO] Epoch:2, Snapshot: 239; Loss: 0.6926
+[2024-06-11 19:16:25,767 INFO] Epoch:2, Snapshot: 240; Loss: 0.6962
+[2024-06-11 19:16:26,705 INFO] Epoch:2, Snapshot: 241; Loss: 0.6937
+[2024-06-11 19:16:27,612 INFO] Epoch:2, Snapshot: 242; Loss: 0.6938
+[2024-06-11 19:16:28,534 INFO] Epoch:2, Snapshot: 243; Loss: 0.6936
+[2024-06-11 19:16:29,456 INFO] Epoch:2, Snapshot: 244; Loss: 0.6931
+[2024-06-11 19:16:30,378 INFO] Epoch:2, Snapshot: 245; Loss: 0.6934
+[2024-06-11 19:16:31,316 INFO] Epoch:2, Snapshot: 246; Loss: 0.6953
+[2024-06-11 19:16:32,254 INFO] Epoch:2, Snapshot: 247; Loss: 0.6924
+[2024-06-11 19:16:33,175 INFO] Epoch:2, Snapshot: 248; Loss: 0.6922
+[2024-06-11 19:16:34,113 INFO] Epoch:2, Snapshot: 249; Loss: 0.6951
+[2024-06-11 19:16:35,035 INFO] Epoch:2, Snapshot: 250; Loss: 0.6930
+[2024-06-11 19:16:35,989 INFO] Epoch:2, Snapshot: 251; Loss: 0.6931
+[2024-06-11 19:16:36,849 INFO] Epoch:2, Snapshot: 252; Loss: 0.6933
+[2024-06-11 19:16:37,755 INFO] Epoch:2, Snapshot: 253; Loss: 0.6936
+[2024-06-11 19:16:38,615 INFO] Epoch:2, Snapshot: 254; Loss: 0.6931
+[2024-06-11 19:16:39,475 INFO] Epoch:2, Snapshot: 255; Loss: 0.6933
+[2024-06-11 19:16:40,444 INFO] Epoch:2, Snapshot: 256; Loss: 0.6936
+[2024-06-11 19:16:41,398 INFO] Epoch:2, Snapshot: 257; Loss: 0.6930
+[2024-06-11 19:16:42,336 INFO] Epoch:2, Snapshot: 258; Loss: 0.6930
+[2024-06-11 19:16:43,196 INFO] Epoch:2, Snapshot: 259; Loss: 0.6933
+[2024-06-11 19:16:44,071 INFO] Epoch:2, Snapshot: 260; Loss: 0.6933
+[2024-06-11 19:16:44,930 INFO] Epoch:2, Snapshot: 261; Loss: 0.6931
+[2024-06-11 19:16:45,774 INFO] Epoch:2, Snapshot: 262; Loss: 0.6928
+[2024-06-11 19:16:46,602 INFO] Epoch:2, Snapshot: 263; Loss: 0.6940
+[2024-06-11 19:16:47,446 INFO] Epoch:2, Snapshot: 264; Loss: 0.6942
+[2024-06-11 19:16:48,321 INFO] Epoch:2, Snapshot: 265; Loss: 0.6932
+[2024-06-11 19:16:49,212 INFO] Epoch:2, Snapshot: 266; Loss: 0.6935
+[2024-06-11 19:16:50,086 INFO] Epoch:2, Snapshot: 267; Loss: 0.6930
+[2024-06-11 19:16:51,008 INFO] Epoch:2, Snapshot: 268; Loss: 0.6931
+[2024-06-11 19:16:51,884 INFO] Epoch:2, Snapshot: 269; Loss: 0.6930
+[2024-06-11 19:16:52,743 INFO] Epoch:2, Snapshot: 270; Loss: 0.6934
+[2024-06-11 19:16:53,602 INFO] Epoch:2, Snapshot: 271; Loss: 0.6930
+[2024-06-11 19:16:54,447 INFO] Epoch:2, Snapshot: 272; Loss: 0.6936
+[2024-06-11 19:16:55,322 INFO] Epoch:2, Snapshot: 273; Loss: 0.6938
+[2024-06-11 19:16:56,166 INFO] Epoch:2, Snapshot: 274; Loss: 0.6930
+[2024-06-11 19:16:57,041 INFO] Epoch:2, Snapshot: 275; Loss: 0.6932
+[2024-06-11 19:16:57,901 INFO] Epoch:2, Snapshot: 276; Loss: 0.6928
+[2024-06-11 19:16:58,760 INFO] Epoch:2, Snapshot: 277; Loss: 0.6916
+[2024-06-11 19:16:59,604 INFO] Epoch:2, Snapshot: 278; Loss: 0.6946
+[2024-06-11 19:17:00,463 INFO] Epoch:2, Snapshot: 279; Loss: 0.6956
+[2024-06-11 19:17:01,323 INFO] Epoch:2, Snapshot: 280; Loss: 0.6946
+[2024-06-11 19:17:02,167 INFO] Epoch:2, Snapshot: 281; Loss: 0.6940
+[2024-06-11 19:17:03,027 INFO] Epoch:2, Snapshot: 282; Loss: 0.6926
+[2024-06-11 19:17:03,887 INFO] Epoch:2, Snapshot: 283; Loss: 0.6931
+[2024-06-11 19:17:04,732 INFO] Epoch:2, Snapshot: 284; Loss: 0.6932
+[2024-06-11 19:17:05,607 INFO] Epoch:2, Snapshot: 285; Loss: 0.6942
+[2024-06-11 19:17:06,482 INFO] Epoch:2, Snapshot: 286; Loss: 0.6928
+[2024-06-11 19:17:07,358 INFO] Epoch:2, Snapshot: 287; Loss: 0.6930
+[2024-06-11 19:17:08,218 INFO] Epoch:2, Snapshot: 288; Loss: 0.6927
+[2024-06-11 19:17:09,062 INFO] Epoch:2, Snapshot: 289; Loss: 0.6932
+[2024-06-11 19:17:09,906 INFO] Epoch:2, Snapshot: 290; Loss: 0.6928
+[2024-06-11 19:17:10,766 INFO] Epoch:2, Snapshot: 291; Loss: 0.6933
+[2024-06-11 19:17:11,641 INFO] Epoch:2, Snapshot: 292; Loss: 0.6935
+[2024-06-11 19:17:12,548 INFO] Epoch:2, Snapshot: 293; Loss: 0.6932
+[2024-06-11 19:17:13,423 INFO] Epoch:2, Snapshot: 294; Loss: 0.6935
+[2024-06-11 19:17:14,283 INFO] Epoch:2, Snapshot: 295; Loss: 0.6931
+[2024-06-11 19:17:15,127 INFO] Epoch:2, Snapshot: 296; Loss: 0.6933
+[2024-06-11 19:17:15,988 INFO] Epoch:2, Snapshot: 297; Loss: 0.6938
+[2024-06-11 19:17:16,830 INFO] Epoch:2, Snapshot: 298; Loss: 0.6934
+[2024-06-11 19:17:17,688 INFO] Epoch:2, Snapshot: 299; Loss: 0.6937
+[2024-06-11 19:17:18,548 INFO] Epoch:2, Snapshot: 300; Loss: 0.6940
+[2024-06-11 19:17:19,423 INFO] Epoch:2, Snapshot: 301; Loss: 0.6920
+[2024-06-11 19:17:20,299 INFO] Epoch:2, Snapshot: 302; Loss: 0.6920
+[2024-06-11 19:17:21,143 INFO] Epoch:2, Snapshot: 303; Loss: 0.6926
+[2024-06-11 19:17:22,001 INFO] Epoch:2, Snapshot: 304; Loss: 0.6965
+[2024-06-11 19:17:22,845 INFO] Epoch:2, Snapshot: 305; Loss: 0.6933
+[2024-06-11 19:17:23,689 INFO] Epoch:2, Snapshot: 306; Loss: 0.6934
+[2024-06-11 19:17:24,565 INFO] Epoch:2, Snapshot: 307; Loss: 0.6930
+[2024-06-11 19:17:25,424 INFO] Epoch:2, Snapshot: 308; Loss: 0.6933
+[2024-06-11 19:17:26,300 INFO] Epoch:2, Snapshot: 309; Loss: 0.6956
+[2024-06-11 19:17:27,144 INFO] Epoch:2, Snapshot: 310; Loss: 0.6935
+[2024-06-11 19:17:27,988 INFO] Epoch:2, Snapshot: 311; Loss: 0.6934
+[2024-06-11 19:17:28,831 INFO] Epoch:2, Snapshot: 312; Loss: 0.6932
+[2024-06-11 19:17:29,707 INFO] Epoch:2, Snapshot: 313; Loss: 0.6931
+[2024-06-11 19:17:30,598 INFO] Epoch:2, Snapshot: 314; Loss: 0.6935
+[2024-06-11 19:17:31,442 INFO] Epoch:2, Snapshot: 315; Loss: 0.6930
+[2024-06-11 19:17:32,286 INFO] Epoch:2, Snapshot: 316; Loss: 0.6935
+[2024-06-11 19:17:33,146 INFO] Epoch:2, Snapshot: 317; Loss: 0.6934
+[2024-06-11 19:22:05,427 INFO] ==========================================================================================
+[2024-06-11 19:22:05,427 INFO] Epoch:2, Loss: 0.6937, Time: 568.611, GPU: 566.0MiB
+[2024-06-11 19:22:05,427 INFO] Epoch:2, Accuracy: 0.5005; F1: 0.6670; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, Memory: 565.9653, time: 760.9614
+[2024-06-11 19:22:06,067 INFO] Epoch:3, Snapshot: 0; Loss: 0.7094
+[2024-06-11 19:22:07,130 INFO] Epoch:3, Snapshot: 1; Loss: 0.6932
+[2024-06-11 19:22:08,207 INFO] Epoch:3, Snapshot: 2; Loss: 0.6935
+[2024-06-11 19:22:09,285 INFO] Epoch:3, Snapshot: 3; Loss: 0.6936
+[2024-06-11 19:22:10,363 INFO] Epoch:3, Snapshot: 4; Loss: 0.6931
+[2024-06-11 19:22:11,457 INFO] Epoch:3, Snapshot: 5; Loss: 0.6929
+[2024-06-11 19:22:12,519 INFO] Epoch:3, Snapshot: 6; Loss: 0.6942
+[2024-06-11 19:22:13,584 INFO] Epoch:3, Snapshot: 7; Loss: 0.6931
+[2024-06-11 19:22:14,660 INFO] Epoch:3, Snapshot: 8; Loss: 0.6926
+[2024-06-11 19:22:15,707 INFO] Epoch:3, Snapshot: 9; Loss: 0.6933
+[2024-06-11 19:22:16,786 INFO] Epoch:3, Snapshot: 10; Loss: 0.6934
+[2024-06-11 19:22:17,786 INFO] Epoch:3, Snapshot: 11; Loss: 0.6931
+[2024-06-11 19:22:18,865 INFO] Epoch:3, Snapshot: 12; Loss: 0.6931
+[2024-06-11 19:22:19,912 INFO] Epoch:3, Snapshot: 13; Loss: 0.6932
+[2024-06-11 19:22:20,975 INFO] Epoch:3, Snapshot: 14; Loss: 0.6934
+[2024-06-11 19:22:22,068 INFO] Epoch:3, Snapshot: 15; Loss: 0.6932
+[2024-06-11 19:22:23,148 INFO] Epoch:3, Snapshot: 16; Loss: 0.6927
+[2024-06-11 19:22:24,226 INFO] Epoch:3, Snapshot: 17; Loss: 0.6917
+[2024-06-11 19:22:25,289 INFO] Epoch:3, Snapshot: 18; Loss: 0.6959
+[2024-06-11 19:22:26,274 INFO] Epoch:3, Snapshot: 19; Loss: 0.6978
+[2024-06-11 19:22:27,196 INFO] Epoch:3, Snapshot: 20; Loss: 0.6945
+[2024-06-11 19:22:28,118 INFO] Epoch:3, Snapshot: 21; Loss: 0.6930
+[2024-06-11 19:22:29,040 INFO] Epoch:3, Snapshot: 22; Loss: 0.6929
+[2024-06-11 19:22:29,993 INFO] Epoch:3, Snapshot: 23; Loss: 0.6933
+[2024-06-11 19:22:30,946 INFO] Epoch:3, Snapshot: 24; Loss: 0.6934
+[2024-06-11 19:22:31,883 INFO] Epoch:3, Snapshot: 25; Loss: 0.6944
+[2024-06-11 19:22:32,790 INFO] Epoch:3, Snapshot: 26; Loss: 0.6937
+[2024-06-11 19:22:33,713 INFO] Epoch:3, Snapshot: 27; Loss: 0.6937
+[2024-06-11 19:22:34,619 INFO] Epoch:3, Snapshot: 28; Loss: 0.6953
+[2024-06-11 19:22:35,587 INFO] Epoch:3, Snapshot: 29; Loss: 0.6931
+[2024-06-11 19:22:36,525 INFO] Epoch:3, Snapshot: 30; Loss: 0.6927
+[2024-06-11 19:22:37,541 INFO] Epoch:3, Snapshot: 31; Loss: 0.6956
+[2024-06-11 19:22:38,494 INFO] Epoch:3, Snapshot: 32; Loss: 0.7033
+[2024-06-11 19:22:39,463 INFO] Epoch:3, Snapshot: 33; Loss: 0.6956
+[2024-06-11 19:22:40,433 INFO] Epoch:3, Snapshot: 34; Loss: 0.6973
+[2024-06-11 19:22:41,385 INFO] Epoch:3, Snapshot: 35; Loss: 0.6932
+[2024-06-11 19:22:42,353 INFO] Epoch:3, Snapshot: 36; Loss: 0.6956
+[2024-06-11 19:22:43,322 INFO] Epoch:3, Snapshot: 37; Loss: 0.6953
+[2024-06-11 19:22:44,326 INFO] Epoch:3, Snapshot: 38; Loss: 0.6962
+[2024-06-11 19:22:45,307 INFO] Epoch:3, Snapshot: 39; Loss: 0.6935
+[2024-06-11 19:22:46,261 INFO] Epoch:3, Snapshot: 40; Loss: 0.6951
+[2024-06-11 19:22:47,277 INFO] Epoch:3, Snapshot: 41; Loss: 0.6932
+[2024-06-11 19:22:48,246 INFO] Epoch:3, Snapshot: 42; Loss: 0.6941
+[2024-06-11 19:22:49,247 INFO] Epoch:3, Snapshot: 43; Loss: 0.6964
+[2024-06-11 19:22:50,231 INFO] Epoch:3, Snapshot: 44; Loss: 0.6919
+[2024-06-11 19:22:51,200 INFO] Epoch:3, Snapshot: 45; Loss: 0.6988
+[2024-06-11 19:22:52,169 INFO] Epoch:3, Snapshot: 46; Loss: 0.6969
+[2024-06-11 19:22:53,137 INFO] Epoch:3, Snapshot: 47; Loss: 0.6934
+[2024-06-11 19:22:54,169 INFO] Epoch:3, Snapshot: 48; Loss: 0.6932
+[2024-06-11 19:22:55,154 INFO] Epoch:3, Snapshot: 49; Loss: 0.6970
+[2024-06-11 19:22:56,107 INFO] Epoch:3, Snapshot: 50; Loss: 0.6965
+[2024-06-11 19:22:57,102 INFO] Epoch:3, Snapshot: 51; Loss: 0.6980
+[2024-06-11 19:22:58,075 INFO] Epoch:3, Snapshot: 52; Loss: 0.6967
+[2024-06-11 19:22:59,044 INFO] Epoch:3, Snapshot: 53; Loss: 0.6933
+[2024-06-11 19:23:00,014 INFO] Epoch:3, Snapshot: 54; Loss: 0.6941
+[2024-06-11 19:23:00,968 INFO] Epoch:3, Snapshot: 55; Loss: 0.6991
+[2024-06-11 19:23:01,921 INFO] Epoch:3, Snapshot: 56; Loss: 0.6998
+[2024-06-11 19:23:02,953 INFO] Epoch:3, Snapshot: 57; Loss: 0.6961
+[2024-06-11 19:23:03,953 INFO] Epoch:3, Snapshot: 58; Loss: 0.6945
+[2024-06-11 19:23:04,922 INFO] Epoch:3, Snapshot: 59; Loss: 0.6934
+[2024-06-11 19:23:05,907 INFO] Epoch:3, Snapshot: 60; Loss: 0.6945
+[2024-06-11 19:23:06,845 INFO] Epoch:3, Snapshot: 61; Loss: 0.6930
+[2024-06-11 19:23:07,798 INFO] Epoch:3, Snapshot: 62; Loss: 0.6927
+[2024-06-11 19:23:08,735 INFO] Epoch:3, Snapshot: 63; Loss: 0.6950
+[2024-06-11 19:23:09,767 INFO] Epoch:3, Snapshot: 64; Loss: 0.6964
+[2024-06-11 19:23:10,737 INFO] Epoch:3, Snapshot: 65; Loss: 0.6940
+[2024-06-11 19:23:11,659 INFO] Epoch:3, Snapshot: 66; Loss: 0.6932
+[2024-06-11 19:23:12,582 INFO] Epoch:3, Snapshot: 67; Loss: 0.6931
+[2024-06-11 19:23:13,489 INFO] Epoch:3, Snapshot: 68; Loss: 0.6937
+[2024-06-11 19:23:14,412 INFO] Epoch:3, Snapshot: 69; Loss: 0.6944
+[2024-06-11 19:23:15,367 INFO] Epoch:3, Snapshot: 70; Loss: 0.6931
+[2024-06-11 19:23:16,304 INFO] Epoch:3, Snapshot: 71; Loss: 0.6956
+[2024-06-11 19:23:17,226 INFO] Epoch:3, Snapshot: 72; Loss: 0.6927
+[2024-06-11 19:23:18,164 INFO] Epoch:3, Snapshot: 73; Loss: 0.6931
+[2024-06-11 19:23:19,086 INFO] Epoch:3, Snapshot: 74; Loss: 0.6936
+[2024-06-11 19:23:20,024 INFO] Epoch:3, Snapshot: 75; Loss: 0.6933
+[2024-06-11 19:23:20,978 INFO] Epoch:3, Snapshot: 76; Loss: 0.6932
+[2024-06-11 19:23:21,916 INFO] Epoch:3, Snapshot: 77; Loss: 0.6931
+[2024-06-11 19:23:22,900 INFO] Epoch:3, Snapshot: 78; Loss: 0.6931
+[2024-06-11 19:23:23,854 INFO] Epoch:3, Snapshot: 79; Loss: 0.6931
+[2024-06-11 19:23:24,807 INFO] Epoch:3, Snapshot: 80; Loss: 0.6930
+[2024-06-11 19:23:25,729 INFO] Epoch:3, Snapshot: 81; Loss: 0.6926
+[2024-06-11 19:23:26,683 INFO] Epoch:3, Snapshot: 82; Loss: 0.6927
+[2024-06-11 19:23:27,636 INFO] Epoch:3, Snapshot: 83; Loss: 0.6925
+[2024-06-11 19:23:28,574 INFO] Epoch:3, Snapshot: 84; Loss: 0.6955
+[2024-06-11 19:23:29,542 INFO] Epoch:3, Snapshot: 85; Loss: 0.6937
+[2024-06-11 19:23:30,480 INFO] Epoch:3, Snapshot: 86; Loss: 0.6927
+[2024-06-11 19:23:31,418 INFO] Epoch:3, Snapshot: 87; Loss: 0.6933
+[2024-06-11 19:23:32,355 INFO] Epoch:3, Snapshot: 88; Loss: 0.6933
+[2024-06-11 19:23:33,282 INFO] Epoch:3, Snapshot: 89; Loss: 0.6938
+[2024-06-11 19:23:34,184 INFO] Epoch:3, Snapshot: 90; Loss: 0.6945
+[2024-06-11 19:23:35,121 INFO] Epoch:3, Snapshot: 91; Loss: 0.6932
+[2024-06-11 19:23:36,058 INFO] Epoch:3, Snapshot: 92; Loss: 0.6940
+[2024-06-11 19:23:37,011 INFO] Epoch:3, Snapshot: 93; Loss: 0.6934
+[2024-06-11 19:23:37,965 INFO] Epoch:3, Snapshot: 94; Loss: 0.6928
+[2024-06-11 19:23:38,918 INFO] Epoch:3, Snapshot: 95; Loss: 0.6927
+[2024-06-11 19:23:39,856 INFO] Epoch:3, Snapshot: 96; Loss: 0.6933
+[2024-06-11 19:23:40,779 INFO] Epoch:3, Snapshot: 97; Loss: 0.6932
+[2024-06-11 19:23:41,729 INFO] Epoch:3, Snapshot: 98; Loss: 0.6939
+[2024-06-11 19:23:42,701 INFO] Epoch:3, Snapshot: 99; Loss: 0.6930
+[2024-06-11 19:23:43,670 INFO] Epoch:3, Snapshot: 100; Loss: 0.6932
+[2024-06-11 19:23:44,592 INFO] Epoch:3, Snapshot: 101; Loss: 0.6931
+[2024-06-11 19:23:45,499 INFO] Epoch:3, Snapshot: 102; Loss: 0.6934
+[2024-06-11 19:23:46,437 INFO] Epoch:3, Snapshot: 103; Loss: 0.6931
+[2024-06-11 19:23:47,375 INFO] Epoch:3, Snapshot: 104; Loss: 0.6931
+[2024-06-11 19:23:48,298 INFO] Epoch:3, Snapshot: 105; Loss: 0.6928
+[2024-06-11 19:23:49,283 INFO] Epoch:3, Snapshot: 106; Loss: 0.6928
+[2024-06-11 19:23:50,228 INFO] Epoch:3, Snapshot: 107; Loss: 0.6940
+[2024-06-11 19:23:51,143 INFO] Epoch:3, Snapshot: 108; Loss: 0.6935
+[2024-06-11 19:23:52,081 INFO] Epoch:3, Snapshot: 109; Loss: 0.6926
+[2024-06-11 19:23:53,049 INFO] Epoch:3, Snapshot: 110; Loss: 0.6936
+[2024-06-11 19:23:54,018 INFO] Epoch:3, Snapshot: 111; Loss: 0.6924
+[2024-06-11 19:23:54,956 INFO] Epoch:3, Snapshot: 112; Loss: 0.6931
+[2024-06-11 19:23:55,894 INFO] Epoch:3, Snapshot: 113; Loss: 0.6930
+[2024-06-11 19:23:56,862 INFO] Epoch:3, Snapshot: 114; Loss: 0.6930
+[2024-06-11 19:23:57,784 INFO] Epoch:3, Snapshot: 115; Loss: 0.6933
+[2024-06-11 19:23:58,707 INFO] Epoch:3, Snapshot: 116; Loss: 0.6931
+[2024-06-11 19:23:59,611 INFO] Epoch:3, Snapshot: 117; Loss: 0.6933
+[2024-06-11 19:24:00,551 INFO] Epoch:3, Snapshot: 118; Loss: 0.6929
+[2024-06-11 19:24:01,472 INFO] Epoch:3, Snapshot: 119; Loss: 0.6941
+[2024-06-11 19:24:02,410 INFO] Epoch:3, Snapshot: 120; Loss: 0.6926
+[2024-06-11 19:24:03,349 INFO] Epoch:3, Snapshot: 121; Loss: 0.6936
+[2024-06-11 19:24:04,270 INFO] Epoch:3, Snapshot: 122; Loss: 0.6928
+[2024-06-11 19:24:05,177 INFO] Epoch:3, Snapshot: 123; Loss: 0.6929
+[2024-06-11 19:24:06,116 INFO] Epoch:3, Snapshot: 124; Loss: 0.6942
+[2024-06-11 19:24:07,101 INFO] Epoch:3, Snapshot: 125; Loss: 0.6934
+[2024-06-11 19:24:08,070 INFO] Epoch:3, Snapshot: 126; Loss: 0.6932
+[2024-06-11 19:24:08,992 INFO] Epoch:3, Snapshot: 127; Loss: 0.6940
+[2024-06-11 19:24:09,930 INFO] Epoch:3, Snapshot: 128; Loss: 0.6944
+[2024-06-11 19:24:10,852 INFO] Epoch:3, Snapshot: 129; Loss: 0.6937
+[2024-06-11 19:24:11,775 INFO] Epoch:3, Snapshot: 130; Loss: 0.6932
+[2024-06-11 19:24:12,728 INFO] Epoch:3, Snapshot: 131; Loss: 0.6935
+[2024-06-11 19:24:13,666 INFO] Epoch:3, Snapshot: 132; Loss: 0.6932
+[2024-06-11 19:24:14,603 INFO] Epoch:3, Snapshot: 133; Loss: 0.6950
+[2024-06-11 19:24:15,525 INFO] Epoch:3, Snapshot: 134; Loss: 0.6930
+[2024-06-11 19:24:16,448 INFO] Epoch:3, Snapshot: 135; Loss: 0.6932
+[2024-06-11 19:24:17,433 INFO] Epoch:3, Snapshot: 136; Loss: 0.6927
+[2024-06-11 19:24:18,387 INFO] Epoch:3, Snapshot: 137; Loss: 0.6946
+[2024-06-11 19:24:19,309 INFO] Epoch:3, Snapshot: 138; Loss: 0.6962
+[2024-06-11 19:24:20,225 INFO] Epoch:3, Snapshot: 139; Loss: 0.6939
+[2024-06-11 19:24:21,169 INFO] Epoch:3, Snapshot: 140; Loss: 0.6930
+[2024-06-11 19:24:22,106 INFO] Epoch:3, Snapshot: 141; Loss: 0.6932
+[2024-06-11 19:24:23,058 INFO] Epoch:3, Snapshot: 142; Loss: 0.6933
+[2024-06-11 19:24:24,043 INFO] Epoch:3, Snapshot: 143; Loss: 0.6935
+[2024-06-11 19:24:24,996 INFO] Epoch:3, Snapshot: 144; Loss: 0.6933
+[2024-06-11 19:24:25,946 INFO] Epoch:3, Snapshot: 145; Loss: 0.6928
+[2024-06-11 19:24:26,899 INFO] Epoch:3, Snapshot: 146; Loss: 0.6941
+[2024-06-11 19:24:27,844 INFO] Epoch:3, Snapshot: 147; Loss: 0.6931
+[2024-06-11 19:24:28,830 INFO] Epoch:3, Snapshot: 148; Loss: 0.6931
+[2024-06-11 19:24:29,780 INFO] Epoch:3, Snapshot: 149; Loss: 0.6935
+[2024-06-11 19:24:30,755 INFO] Epoch:3, Snapshot: 150; Loss: 0.6935
+[2024-06-11 19:24:31,703 INFO] Epoch:3, Snapshot: 151; Loss: 0.6934
+[2024-06-11 19:24:32,666 INFO] Epoch:3, Snapshot: 152; Loss: 0.6931
+[2024-06-11 19:24:33,664 INFO] Epoch:3, Snapshot: 153; Loss: 0.6932
+[2024-06-11 19:24:34,669 INFO] Epoch:3, Snapshot: 154; Loss: 0.6933
+[2024-06-11 19:24:35,625 INFO] Epoch:3, Snapshot: 155; Loss: 0.6932
+[2024-06-11 19:24:36,579 INFO] Epoch:3, Snapshot: 156; Loss: 0.6930
+[2024-06-11 19:24:37,516 INFO] Epoch:3, Snapshot: 157; Loss: 0.6931
+[2024-06-11 19:24:38,438 INFO] Epoch:3, Snapshot: 158; Loss: 0.6930
+[2024-06-11 19:24:39,329 INFO] Epoch:3, Snapshot: 159; Loss: 0.6925
+[2024-06-11 19:24:40,299 INFO] Epoch:3, Snapshot: 160; Loss: 0.6930
+[2024-06-11 19:24:41,268 INFO] Epoch:3, Snapshot: 161; Loss: 0.6939
+[2024-06-11 19:24:42,222 INFO] Epoch:3, Snapshot: 162; Loss: 0.6929
+[2024-06-11 19:24:43,160 INFO] Epoch:3, Snapshot: 163; Loss: 0.6952
+[2024-06-11 19:24:44,128 INFO] Epoch:3, Snapshot: 164; Loss: 0.6929
+[2024-06-11 19:24:45,066 INFO] Epoch:3, Snapshot: 165; Loss: 0.6931
+[2024-06-11 19:24:46,020 INFO] Epoch:3, Snapshot: 166; Loss: 0.6933
+[2024-06-11 19:24:46,958 INFO] Epoch:3, Snapshot: 167; Loss: 0.6937
+[2024-06-11 19:24:47,880 INFO] Epoch:3, Snapshot: 168; Loss: 0.6940
+[2024-06-11 19:24:48,802 INFO] Epoch:3, Snapshot: 169; Loss: 0.6934
+[2024-06-11 19:24:49,724 INFO] Epoch:3, Snapshot: 170; Loss: 0.6934
+[2024-06-11 19:24:50,677 INFO] Epoch:3, Snapshot: 171; Loss: 0.6942
+[2024-06-11 19:24:51,630 INFO] Epoch:3, Snapshot: 172; Loss: 0.6940
+[2024-06-11 19:24:52,567 INFO] Epoch:3, Snapshot: 173; Loss: 0.6932
+[2024-06-11 19:24:53,521 INFO] Epoch:3, Snapshot: 174; Loss: 0.6931
+[2024-06-11 19:24:54,443 INFO] Epoch:3, Snapshot: 175; Loss: 0.6933
+[2024-06-11 19:24:55,382 INFO] Epoch:3, Snapshot: 176; Loss: 0.6923
+[2024-06-11 19:24:56,272 INFO] Epoch:3, Snapshot: 177; Loss: 0.6931
+[2024-06-11 19:24:57,241 INFO] Epoch:3, Snapshot: 178; Loss: 0.6956
+[2024-06-11 19:24:58,164 INFO] Epoch:3, Snapshot: 179; Loss: 0.6926
+[2024-06-11 19:24:59,086 INFO] Epoch:3, Snapshot: 180; Loss: 0.6934
+[2024-06-11 19:25:00,024 INFO] Epoch:3, Snapshot: 181; Loss: 0.6931
+[2024-06-11 19:25:00,977 INFO] Epoch:3, Snapshot: 182; Loss: 0.6930
+[2024-06-11 19:25:01,889 INFO] Epoch:3, Snapshot: 183; Loss: 0.6926
+[2024-06-11 19:25:02,867 INFO] Epoch:3, Snapshot: 184; Loss: 0.6933
+[2024-06-11 19:25:03,790 INFO] Epoch:3, Snapshot: 185; Loss: 0.6945
+[2024-06-11 19:25:04,713 INFO] Epoch:3, Snapshot: 186; Loss: 0.6948
+[2024-06-11 19:25:05,619 INFO] Epoch:3, Snapshot: 187; Loss: 0.6941
+[2024-06-11 19:25:06,541 INFO] Epoch:3, Snapshot: 188; Loss: 0.6932
+[2024-06-11 19:25:07,462 INFO] Epoch:3, Snapshot: 189; Loss: 0.6935
+[2024-06-11 19:25:08,431 INFO] Epoch:3, Snapshot: 190; Loss: 0.6936
+[2024-06-11 19:25:09,369 INFO] Epoch:3, Snapshot: 191; Loss: 0.6928
+[2024-06-11 19:25:10,276 INFO] Epoch:3, Snapshot: 192; Loss: 0.6965
+[2024-06-11 19:25:11,214 INFO] Epoch:3, Snapshot: 193; Loss: 0.6938
+[2024-06-11 19:25:12,183 INFO] Epoch:3, Snapshot: 194; Loss: 0.6930
+[2024-06-11 19:25:13,105 INFO] Epoch:3, Snapshot: 195; Loss: 0.6929
+[2024-06-11 19:25:14,026 INFO] Epoch:3, Snapshot: 196; Loss: 0.6929
+[2024-06-11 19:25:14,949 INFO] Epoch:3, Snapshot: 197; Loss: 0.6945
+[2024-06-11 19:25:15,871 INFO] Epoch:3, Snapshot: 198; Loss: 0.6939
+[2024-06-11 19:25:16,793 INFO] Epoch:3, Snapshot: 199; Loss: 0.6948
+[2024-06-11 19:25:17,739 INFO] Epoch:3, Snapshot: 200; Loss: 0.6928
+[2024-06-11 19:25:18,653 INFO] Epoch:3, Snapshot: 201; Loss: 0.6931
+[2024-06-11 19:25:19,575 INFO] Epoch:3, Snapshot: 202; Loss: 0.6927
+[2024-06-11 19:25:20,497 INFO] Epoch:3, Snapshot: 203; Loss: 0.6954
+[2024-06-11 19:25:21,419 INFO] Epoch:3, Snapshot: 204; Loss: 0.6927
+[2024-06-11 19:25:22,357 INFO] Epoch:3, Snapshot: 205; Loss: 0.6956
+[2024-06-11 19:25:23,294 INFO] Epoch:3, Snapshot: 206; Loss: 0.6929
+[2024-06-11 19:25:24,279 INFO] Epoch:3, Snapshot: 207; Loss: 0.6932
+[2024-06-11 19:25:25,248 INFO] Epoch:3, Snapshot: 208; Loss: 0.6931
+[2024-06-11 19:25:26,170 INFO] Epoch:3, Snapshot: 209; Loss: 0.6926
+[2024-06-11 19:25:27,108 INFO] Epoch:3, Snapshot: 210; Loss: 0.6935
+[2024-06-11 19:25:28,031 INFO] Epoch:3, Snapshot: 211; Loss: 0.6943
+[2024-06-11 19:25:28,956 INFO] Epoch:3, Snapshot: 212; Loss: 0.6949
+[2024-06-11 19:25:29,891 INFO] Epoch:3, Snapshot: 213; Loss: 0.6923
+[2024-06-11 19:25:30,813 INFO] Epoch:3, Snapshot: 214; Loss: 0.6933
+[2024-06-11 19:25:31,735 INFO] Epoch:3, Snapshot: 215; Loss: 0.6934
+[2024-06-11 19:25:32,658 INFO] Epoch:3, Snapshot: 216; Loss: 0.6932
+[2024-06-11 19:25:33,566 INFO] Epoch:3, Snapshot: 217; Loss: 0.6932
+[2024-06-11 19:25:34,473 INFO] Epoch:3, Snapshot: 218; Loss: 0.6930
+[2024-06-11 19:25:35,379 INFO] Epoch:3, Snapshot: 219; Loss: 0.6939
+[2024-06-11 19:25:36,333 INFO] Epoch:3, Snapshot: 220; Loss: 0.6933
+[2024-06-11 19:25:37,270 INFO] Epoch:3, Snapshot: 221; Loss: 0.6931
+[2024-06-11 19:25:38,223 INFO] Epoch:3, Snapshot: 222; Loss: 0.6935
+[2024-06-11 19:25:39,130 INFO] Epoch:3, Snapshot: 223; Loss: 0.6940
+[2024-06-11 19:25:40,055 INFO] Epoch:3, Snapshot: 224; Loss: 0.6944
+[2024-06-11 19:25:40,958 INFO] Epoch:3, Snapshot: 225; Loss: 0.6926
+[2024-06-11 19:25:41,865 INFO] Epoch:3, Snapshot: 226; Loss: 0.6960
+[2024-06-11 19:25:42,819 INFO] Epoch:3, Snapshot: 227; Loss: 0.6977
+[2024-06-11 19:25:43,741 INFO] Epoch:3, Snapshot: 228; Loss: 0.6923
+[2024-06-11 19:25:44,647 INFO] Epoch:3, Snapshot: 229; Loss: 0.6926
+[2024-06-11 19:25:45,559 INFO] Epoch:3, Snapshot: 230; Loss: 0.6929
+[2024-06-11 19:25:46,476 INFO] Epoch:3, Snapshot: 231; Loss: 0.6932
+[2024-06-11 19:25:47,383 INFO] Epoch:3, Snapshot: 232; Loss: 0.6932
+[2024-06-11 19:25:48,336 INFO] Epoch:3, Snapshot: 233; Loss: 0.6937
+[2024-06-11 19:25:49,243 INFO] Epoch:3, Snapshot: 234; Loss: 0.6931
+[2024-06-11 19:25:50,179 INFO] Epoch:3, Snapshot: 235; Loss: 0.6931
+[2024-06-11 19:25:51,086 INFO] Epoch:3, Snapshot: 236; Loss: 0.6932
+[2024-06-11 19:25:52,008 INFO] Epoch:3, Snapshot: 237; Loss: 0.6932
+[2024-06-11 19:25:52,930 INFO] Epoch:3, Snapshot: 238; Loss: 0.6928
+[2024-06-11 19:25:53,837 INFO] Epoch:3, Snapshot: 239; Loss: 0.6926
+[2024-06-11 19:25:54,758 INFO] Epoch:3, Snapshot: 240; Loss: 0.6962
+[2024-06-11 19:25:55,680 INFO] Epoch:3, Snapshot: 241; Loss: 0.6936
+[2024-06-11 19:25:56,618 INFO] Epoch:3, Snapshot: 242; Loss: 0.6937
+[2024-06-11 19:25:57,540 INFO] Epoch:3, Snapshot: 243; Loss: 0.6935
+[2024-06-11 19:25:58,478 INFO] Epoch:3, Snapshot: 244; Loss: 0.6931
+[2024-06-11 19:25:59,400 INFO] Epoch:3, Snapshot: 245; Loss: 0.6935
+[2024-06-11 19:26:00,322 INFO] Epoch:3, Snapshot: 246; Loss: 0.6954
+[2024-06-11 19:26:01,292 INFO] Epoch:3, Snapshot: 247; Loss: 0.6924
+[2024-06-11 19:26:02,229 INFO] Epoch:3, Snapshot: 248; Loss: 0.6922
+[2024-06-11 19:26:03,167 INFO] Epoch:3, Snapshot: 249; Loss: 0.6949
+[2024-06-11 19:26:04,105 INFO] Epoch:3, Snapshot: 250; Loss: 0.6930
+[2024-06-11 19:26:05,027 INFO] Epoch:3, Snapshot: 251; Loss: 0.6932
+[2024-06-11 19:26:05,871 INFO] Epoch:3, Snapshot: 252; Loss: 0.6933
+[2024-06-11 19:26:06,730 INFO] Epoch:3, Snapshot: 253; Loss: 0.6937
+[2024-06-11 19:26:07,590 INFO] Epoch:3, Snapshot: 254; Loss: 0.6931
+[2024-06-11 19:26:08,449 INFO] Epoch:3, Snapshot: 255; Loss: 0.6934
+[2024-06-11 19:26:09,419 INFO] Epoch:3, Snapshot: 256; Loss: 0.6938
+[2024-06-11 19:26:10,357 INFO] Epoch:3, Snapshot: 257; Loss: 0.6930
+[2024-06-11 19:26:11,279 INFO] Epoch:3, Snapshot: 258; Loss: 0.6930
+[2024-06-11 19:26:12,139 INFO] Epoch:3, Snapshot: 259; Loss: 0.6933
+[2024-06-11 19:26:12,967 INFO] Epoch:3, Snapshot: 260; Loss: 0.6933
+[2024-06-11 19:26:13,827 INFO] Epoch:3, Snapshot: 261; Loss: 0.6930
+[2024-06-11 19:26:14,687 INFO] Epoch:3, Snapshot: 262; Loss: 0.6927
+[2024-06-11 19:26:15,547 INFO] Epoch:3, Snapshot: 263; Loss: 0.6941
+[2024-06-11 19:26:16,392 INFO] Epoch:3, Snapshot: 264; Loss: 0.6944
+[2024-06-11 19:26:17,236 INFO] Epoch:3, Snapshot: 265; Loss: 0.6932
+[2024-06-11 19:26:18,096 INFO] Epoch:3, Snapshot: 266; Loss: 0.6934
+[2024-06-11 19:26:18,971 INFO] Epoch:3, Snapshot: 267; Loss: 0.6930
+[2024-06-11 19:26:19,831 INFO] Epoch:3, Snapshot: 268; Loss: 0.6931
+[2024-06-11 19:26:20,707 INFO] Epoch:3, Snapshot: 269; Loss: 0.6930
+[2024-06-11 19:26:21,567 INFO] Epoch:3, Snapshot: 270; Loss: 0.6935
+[2024-06-11 19:26:22,426 INFO] Epoch:3, Snapshot: 271; Loss: 0.6930
+[2024-06-11 19:26:23,285 INFO] Epoch:3, Snapshot: 272; Loss: 0.6936
+[2024-06-11 19:26:24,145 INFO] Epoch:3, Snapshot: 273; Loss: 0.6937
+[2024-06-11 19:26:25,004 INFO] Epoch:3, Snapshot: 274; Loss: 0.6930
+[2024-06-11 19:26:25,848 INFO] Epoch:3, Snapshot: 275; Loss: 0.6931
+[2024-06-11 19:26:26,707 INFO] Epoch:3, Snapshot: 276; Loss: 0.6927
+[2024-06-11 19:26:27,568 INFO] Epoch:3, Snapshot: 277; Loss: 0.6916
+[2024-06-11 19:26:28,426 INFO] Epoch:3, Snapshot: 278; Loss: 0.6947
+[2024-06-11 19:26:29,286 INFO] Epoch:3, Snapshot: 279; Loss: 0.6955
+[2024-06-11 19:26:30,115 INFO] Epoch:3, Snapshot: 280; Loss: 0.6944
+[2024-06-11 19:26:30,959 INFO] Epoch:3, Snapshot: 281; Loss: 0.6939
+[2024-06-11 19:26:31,818 INFO] Epoch:3, Snapshot: 282; Loss: 0.6927
+[2024-06-11 19:26:32,677 INFO] Epoch:3, Snapshot: 283; Loss: 0.6931
+[2024-06-11 19:26:33,521 INFO] Epoch:3, Snapshot: 284; Loss: 0.6932
+[2024-06-11 19:26:34,397 INFO] Epoch:3, Snapshot: 285; Loss: 0.6942
+[2024-06-11 19:26:35,241 INFO] Epoch:3, Snapshot: 286; Loss: 0.6928
+[2024-06-11 19:26:36,100 INFO] Epoch:3, Snapshot: 287; Loss: 0.6930
+[2024-06-11 19:26:36,959 INFO] Epoch:3, Snapshot: 288; Loss: 0.6927
+[2024-06-11 19:26:37,819 INFO] Epoch:3, Snapshot: 289; Loss: 0.6931
+[2024-06-11 19:26:38,663 INFO] Epoch:3, Snapshot: 290; Loss: 0.6929
+[2024-06-11 19:26:39,539 INFO] Epoch:3, Snapshot: 291; Loss: 0.6933
+[2024-06-11 19:26:40,398 INFO] Epoch:3, Snapshot: 292; Loss: 0.6936
+[2024-06-11 19:26:41,258 INFO] Epoch:3, Snapshot: 293; Loss: 0.6932
+[2024-06-11 19:26:42,102 INFO] Epoch:3, Snapshot: 294; Loss: 0.6934
+[2024-06-11 19:26:42,946 INFO] Epoch:3, Snapshot: 295; Loss: 0.6931
+[2024-06-11 19:26:43,806 INFO] Epoch:3, Snapshot: 296; Loss: 0.6933
+[2024-06-11 19:26:44,650 INFO] Epoch:3, Snapshot: 297; Loss: 0.6938
+[2024-06-11 19:26:45,513 INFO] Epoch:3, Snapshot: 298; Loss: 0.6934
+[2024-06-11 19:26:46,354 INFO] Epoch:3, Snapshot: 299; Loss: 0.6937
+[2024-06-11 19:26:47,198 INFO] Epoch:3, Snapshot: 300; Loss: 0.6940
+[2024-06-11 19:26:48,073 INFO] Epoch:3, Snapshot: 301; Loss: 0.6921
+[2024-06-11 19:26:48,933 INFO] Epoch:3, Snapshot: 302; Loss: 0.6920
+[2024-06-11 19:26:49,793 INFO] Epoch:3, Snapshot: 303; Loss: 0.6926
+[2024-06-11 19:26:50,652 INFO] Epoch:3, Snapshot: 304; Loss: 0.6965
+[2024-06-11 19:26:51,496 INFO] Epoch:3, Snapshot: 305; Loss: 0.6933
+[2024-06-11 19:26:52,371 INFO] Epoch:3, Snapshot: 306; Loss: 0.6934
+[2024-06-11 19:26:53,246 INFO] Epoch:3, Snapshot: 307; Loss: 0.6930
+[2024-06-11 19:26:54,121 INFO] Epoch:3, Snapshot: 308; Loss: 0.6933
+[2024-06-11 19:26:54,980 INFO] Epoch:3, Snapshot: 309; Loss: 0.6956
+[2024-06-11 19:26:55,840 INFO] Epoch:3, Snapshot: 310; Loss: 0.6934
+[2024-06-11 19:26:56,683 INFO] Epoch:3, Snapshot: 311; Loss: 0.6933
+[2024-06-11 19:26:57,561 INFO] Epoch:3, Snapshot: 312; Loss: 0.6931
+[2024-06-11 19:26:58,419 INFO] Epoch:3, Snapshot: 313; Loss: 0.6931
+[2024-06-11 19:26:59,278 INFO] Epoch:3, Snapshot: 314; Loss: 0.6936
+[2024-06-11 19:27:00,138 INFO] Epoch:3, Snapshot: 315; Loss: 0.6930
+[2024-06-11 19:27:00,998 INFO] Epoch:3, Snapshot: 316; Loss: 0.6935
+[2024-06-11 19:27:01,847 INFO] Epoch:3, Snapshot: 317; Loss: 0.6934
+[2024-06-11 19:31:32,529 INFO] ==========================================================================================
+[2024-06-11 19:31:32,529 INFO] Epoch:3, Loss: 0.6937, Time: 567.103, GPU: 566.0MiB
+[2024-06-11 19:31:32,529 INFO] Epoch:3, Accuracy: 0.5005; F1: 0.6670; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, Memory: 565.9653, time: 756.0671
+[2024-06-11 19:31:33,529 INFO] Epoch:4, Snapshot: 0; Loss: 0.7092
+[2024-06-11 19:31:34,655 INFO] Epoch:4, Snapshot: 1; Loss: 0.6932
+[2024-06-11 19:31:35,717 INFO] Epoch:4, Snapshot: 2; Loss: 0.6936
+[2024-06-11 19:31:36,796 INFO] Epoch:4, Snapshot: 3; Loss: 0.6936
+[2024-06-11 19:31:37,843 INFO] Epoch:4, Snapshot: 4; Loss: 0.6931
+[2024-06-11 19:31:38,952 INFO] Epoch:4, Snapshot: 5; Loss: 0.6929
+[2024-06-11 19:31:40,013 INFO] Epoch:4, Snapshot: 6; Loss: 0.6943
+[2024-06-11 19:31:41,077 INFO] Epoch:4, Snapshot: 7; Loss: 0.6932
+[2024-06-11 19:31:42,140 INFO] Epoch:4, Snapshot: 8; Loss: 0.6926
+[2024-06-11 19:31:43,219 INFO] Epoch:4, Snapshot: 9; Loss: 0.6933
+[2024-06-11 19:31:44,294 INFO] Epoch:4, Snapshot: 10; Loss: 0.6933
+[2024-06-11 19:31:45,282 INFO] Epoch:4, Snapshot: 11; Loss: 0.6931
+[2024-06-11 19:31:46,317 INFO] Epoch:4, Snapshot: 12; Loss: 0.6931
+[2024-06-11 19:31:47,392 INFO] Epoch:4, Snapshot: 13; Loss: 0.6932
+[2024-06-11 19:31:48,487 INFO] Epoch:4, Snapshot: 14; Loss: 0.6935
+[2024-06-11 19:31:49,565 INFO] Epoch:4, Snapshot: 15; Loss: 0.6932
+[2024-06-11 19:31:50,649 INFO] Epoch:4, Snapshot: 16; Loss: 0.6926
+[2024-06-11 19:31:51,738 INFO] Epoch:4, Snapshot: 17; Loss: 0.6916
+[2024-06-11 19:31:52,815 INFO] Epoch:4, Snapshot: 18; Loss: 0.6961
+[2024-06-11 19:31:53,753 INFO] Epoch:4, Snapshot: 19; Loss: 0.6980
+[2024-06-11 19:31:54,675 INFO] Epoch:4, Snapshot: 20; Loss: 0.6946
+[2024-06-11 19:31:55,613 INFO] Epoch:4, Snapshot: 21; Loss: 0.6930
+[2024-06-11 19:31:56,535 INFO] Epoch:4, Snapshot: 22; Loss: 0.6929
+[2024-06-11 19:31:57,473 INFO] Epoch:4, Snapshot: 23; Loss: 0.6934
+[2024-06-11 19:31:58,380 INFO] Epoch:4, Snapshot: 24; Loss: 0.6935
+[2024-06-11 19:31:59,318 INFO] Epoch:4, Snapshot: 25; Loss: 0.6944
+[2024-06-11 19:32:00,226 INFO] Epoch:4, Snapshot: 26; Loss: 0.6937
+[2024-06-11 19:32:01,164 INFO] Epoch:4, Snapshot: 27; Loss: 0.6937
+[2024-06-11 19:32:02,101 INFO] Epoch:4, Snapshot: 28; Loss: 0.6952
+[2024-06-11 19:32:03,039 INFO] Epoch:4, Snapshot: 29; Loss: 0.6929
+[2024-06-11 19:32:03,961 INFO] Epoch:4, Snapshot: 30; Loss: 0.6928
+[2024-06-11 19:32:04,930 INFO] Epoch:4, Snapshot: 31; Loss: 0.6959
+[2024-06-11 19:32:05,884 INFO] Epoch:4, Snapshot: 32; Loss: 0.7035
+[2024-06-11 19:32:06,837 INFO] Epoch:4, Snapshot: 33; Loss: 0.6955
+[2024-06-11 19:32:07,805 INFO] Epoch:4, Snapshot: 34; Loss: 0.6969
+[2024-06-11 19:32:08,774 INFO] Epoch:4, Snapshot: 35; Loss: 0.6933
+[2024-06-11 19:32:09,753 INFO] Epoch:4, Snapshot: 36; Loss: 0.6961
+[2024-06-11 19:32:10,759 INFO] Epoch:4, Snapshot: 37; Loss: 0.6956
+[2024-06-11 19:32:11,712 INFO] Epoch:4, Snapshot: 38; Loss: 0.6964
+[2024-06-11 19:32:12,696 INFO] Epoch:4, Snapshot: 39; Loss: 0.6934
+[2024-06-11 19:32:13,665 INFO] Epoch:4, Snapshot: 40; Loss: 0.6948
+[2024-06-11 19:32:14,649 INFO] Epoch:4, Snapshot: 41; Loss: 0.6930
+[2024-06-11 19:32:15,618 INFO] Epoch:4, Snapshot: 42; Loss: 0.6944
+[2024-06-11 19:32:16,619 INFO] Epoch:4, Snapshot: 43; Loss: 0.6969
+[2024-06-11 19:32:17,588 INFO] Epoch:4, Snapshot: 44; Loss: 0.6919
+[2024-06-11 19:32:18,541 INFO] Epoch:4, Snapshot: 45; Loss: 0.6987
+[2024-06-11 19:32:19,541 INFO] Epoch:4, Snapshot: 46; Loss: 0.6966
+[2024-06-11 19:32:20,510 INFO] Epoch:4, Snapshot: 47; Loss: 0.6932
+[2024-06-11 19:32:21,447 INFO] Epoch:4, Snapshot: 48; Loss: 0.6934
+[2024-06-11 19:32:22,401 INFO] Epoch:4, Snapshot: 49; Loss: 0.6976
+[2024-06-11 19:32:23,386 INFO] Epoch:4, Snapshot: 50; Loss: 0.6968
+[2024-06-11 19:32:24,371 INFO] Epoch:4, Snapshot: 51; Loss: 0.6980
+[2024-06-11 19:32:25,339 INFO] Epoch:4, Snapshot: 52; Loss: 0.6964
+[2024-06-11 19:32:26,324 INFO] Epoch:4, Snapshot: 53; Loss: 0.6929
+[2024-06-11 19:32:27,308 INFO] Epoch:4, Snapshot: 54; Loss: 0.6945
+[2024-06-11 19:32:28,309 INFO] Epoch:4, Snapshot: 55; Loss: 0.7000
+[2024-06-11 19:32:29,278 INFO] Epoch:4, Snapshot: 56; Loss: 0.7004
+[2024-06-11 19:32:30,247 INFO] Epoch:4, Snapshot: 57; Loss: 0.6962
+[2024-06-11 19:32:31,215 INFO] Epoch:4, Snapshot: 58; Loss: 0.6943
+[2024-06-11 19:32:32,184 INFO] Epoch:4, Snapshot: 59; Loss: 0.6933
+[2024-06-11 19:32:33,171 INFO] Epoch:4, Snapshot: 60; Loss: 0.6953
+[2024-06-11 19:32:34,108 INFO] Epoch:4, Snapshot: 61; Loss: 0.6932
+[2024-06-11 19:32:35,045 INFO] Epoch:4, Snapshot: 62; Loss: 0.6928
+[2024-06-11 19:32:36,030 INFO] Epoch:4, Snapshot: 63; Loss: 0.6951
+[2024-06-11 19:32:36,999 INFO] Epoch:4, Snapshot: 64; Loss: 0.6962
+[2024-06-11 19:32:37,953 INFO] Epoch:4, Snapshot: 65; Loss: 0.6937
+[2024-06-11 19:32:38,875 INFO] Epoch:4, Snapshot: 66; Loss: 0.6934
+[2024-06-11 19:32:39,783 INFO] Epoch:4, Snapshot: 67; Loss: 0.6932
+[2024-06-11 19:32:40,690 INFO] Epoch:4, Snapshot: 68; Loss: 0.6939
+[2024-06-11 19:32:41,597 INFO] Epoch:4, Snapshot: 69; Loss: 0.6945
+[2024-06-11 19:32:42,535 INFO] Epoch:4, Snapshot: 70; Loss: 0.6931
+[2024-06-11 19:32:43,503 INFO] Epoch:4, Snapshot: 71; Loss: 0.6953
+[2024-06-11 19:32:44,424 INFO] Epoch:4, Snapshot: 72; Loss: 0.6928
+[2024-06-11 19:32:45,367 INFO] Epoch:4, Snapshot: 73; Loss: 0.6933
+[2024-06-11 19:32:46,300 INFO] Epoch:4, Snapshot: 74; Loss: 0.6939
+[2024-06-11 19:32:47,238 INFO] Epoch:4, Snapshot: 75; Loss: 0.6934
+[2024-06-11 19:32:48,176 INFO] Epoch:4, Snapshot: 76; Loss: 0.6932
+[2024-06-11 19:32:49,130 INFO] Epoch:4, Snapshot: 77; Loss: 0.6932
+[2024-06-11 19:32:50,068 INFO] Epoch:4, Snapshot: 78; Loss: 0.6931
+[2024-06-11 19:32:51,021 INFO] Epoch:4, Snapshot: 79; Loss: 0.6931
+[2024-06-11 19:32:51,959 INFO] Epoch:4, Snapshot: 80; Loss: 0.6930
+[2024-06-11 19:32:52,896 INFO] Epoch:4, Snapshot: 81; Loss: 0.6926
+[2024-06-11 19:32:53,850 INFO] Epoch:4, Snapshot: 82; Loss: 0.6927
+[2024-06-11 19:32:54,772 INFO] Epoch:4, Snapshot: 83; Loss: 0.6925
+[2024-06-11 19:32:55,709 INFO] Epoch:4, Snapshot: 84; Loss: 0.6958
+[2024-06-11 19:32:56,662 INFO] Epoch:4, Snapshot: 85; Loss: 0.6939
+[2024-06-11 19:32:57,583 INFO] Epoch:4, Snapshot: 86; Loss: 0.6926
+[2024-06-11 19:32:58,521 INFO] Epoch:4, Snapshot: 87; Loss: 0.6933
+[2024-06-11 19:32:59,490 INFO] Epoch:4, Snapshot: 88; Loss: 0.6933
+[2024-06-11 19:33:00,443 INFO] Epoch:4, Snapshot: 89; Loss: 0.6939
+[2024-06-11 19:33:01,350 INFO] Epoch:4, Snapshot: 90; Loss: 0.6946
+[2024-06-11 19:33:02,288 INFO] Epoch:4, Snapshot: 91; Loss: 0.6932
+[2024-06-11 19:33:03,241 INFO] Epoch:4, Snapshot: 92; Loss: 0.6939
+[2024-06-11 19:33:04,195 INFO] Epoch:4, Snapshot: 93; Loss: 0.6934
+[2024-06-11 19:33:05,158 INFO] Epoch:4, Snapshot: 94; Loss: 0.6928
+[2024-06-11 19:33:06,086 INFO] Epoch:4, Snapshot: 95; Loss: 0.6927
+[2024-06-11 19:33:07,039 INFO] Epoch:4, Snapshot: 96; Loss: 0.6933
+[2024-06-11 19:33:07,960 INFO] Epoch:4, Snapshot: 97; Loss: 0.6932
+[2024-06-11 19:33:08,930 INFO] Epoch:4, Snapshot: 98; Loss: 0.6940
+[2024-06-11 19:33:09,883 INFO] Epoch:4, Snapshot: 99; Loss: 0.6930
+[2024-06-11 19:33:10,805 INFO] Epoch:4, Snapshot: 100; Loss: 0.6932
+[2024-06-11 19:33:11,727 INFO] Epoch:4, Snapshot: 101; Loss: 0.6931
+[2024-06-11 19:33:12,680 INFO] Epoch:4, Snapshot: 102; Loss: 0.6933
+[2024-06-11 19:33:13,619 INFO] Epoch:4, Snapshot: 103; Loss: 0.6931
+[2024-06-11 19:33:14,540 INFO] Epoch:4, Snapshot: 104; Loss: 0.6931
+[2024-06-11 19:33:15,462 INFO] Epoch:4, Snapshot: 105; Loss: 0.6928
+[2024-06-11 19:33:16,384 INFO] Epoch:4, Snapshot: 106; Loss: 0.6928
+[2024-06-11 19:33:17,322 INFO] Epoch:4, Snapshot: 107; Loss: 0.6941
+[2024-06-11 19:33:18,260 INFO] Epoch:4, Snapshot: 108; Loss: 0.6935
+[2024-06-11 19:33:19,198 INFO] Epoch:4, Snapshot: 109; Loss: 0.6926
+[2024-06-11 19:33:20,135 INFO] Epoch:4, Snapshot: 110; Loss: 0.6936
+[2024-06-11 19:33:21,151 INFO] Epoch:4, Snapshot: 111; Loss: 0.6924
+[2024-06-11 19:33:22,130 INFO] Epoch:4, Snapshot: 112; Loss: 0.6931
+[2024-06-11 19:33:23,056 INFO] Epoch:4, Snapshot: 113; Loss: 0.6930
+[2024-06-11 19:33:23,994 INFO] Epoch:4, Snapshot: 114; Loss: 0.6930
+[2024-06-11 19:33:24,964 INFO] Epoch:4, Snapshot: 115; Loss: 0.6933
+[2024-06-11 19:33:25,918 INFO] Epoch:4, Snapshot: 116; Loss: 0.6931
+[2024-06-11 19:33:26,840 INFO] Epoch:4, Snapshot: 117; Loss: 0.6933
+[2024-06-11 19:33:27,762 INFO] Epoch:4, Snapshot: 118; Loss: 0.6929
+[2024-06-11 19:33:28,684 INFO] Epoch:4, Snapshot: 119; Loss: 0.6941
+[2024-06-11 19:33:29,624 INFO] Epoch:4, Snapshot: 120; Loss: 0.6926
+[2024-06-11 19:33:30,544 INFO] Epoch:4, Snapshot: 121; Loss: 0.6936
+[2024-06-11 19:33:31,481 INFO] Epoch:4, Snapshot: 122; Loss: 0.6928
+[2024-06-11 19:33:32,420 INFO] Epoch:4, Snapshot: 123; Loss: 0.6929
+[2024-06-11 19:33:33,357 INFO] Epoch:4, Snapshot: 124; Loss: 0.6942
+[2024-06-11 19:33:34,295 INFO] Epoch:4, Snapshot: 125; Loss: 0.6934
+[2024-06-11 19:33:35,218 INFO] Epoch:4, Snapshot: 126; Loss: 0.6933
+[2024-06-11 19:33:36,140 INFO] Epoch:4, Snapshot: 127; Loss: 0.6940
+[2024-06-11 19:33:37,062 INFO] Epoch:4, Snapshot: 128; Loss: 0.6944
+[2024-06-11 19:33:37,984 INFO] Epoch:4, Snapshot: 129; Loss: 0.6937
+[2024-06-11 19:33:38,953 INFO] Epoch:4, Snapshot: 130; Loss: 0.6932
+[2024-06-11 19:33:39,896 INFO] Epoch:4, Snapshot: 131; Loss: 0.6935
+[2024-06-11 19:33:40,860 INFO] Epoch:4, Snapshot: 132; Loss: 0.6932
+[2024-06-11 19:33:41,814 INFO] Epoch:4, Snapshot: 133; Loss: 0.6950
+[2024-06-11 19:33:42,767 INFO] Epoch:4, Snapshot: 134; Loss: 0.6930
+[2024-06-11 19:33:43,704 INFO] Epoch:4, Snapshot: 135; Loss: 0.6932
+[2024-06-11 19:33:44,642 INFO] Epoch:4, Snapshot: 136; Loss: 0.6926
+[2024-06-11 19:33:45,579 INFO] Epoch:4, Snapshot: 137; Loss: 0.6947
+[2024-06-11 19:33:46,502 INFO] Epoch:4, Snapshot: 138; Loss: 0.6964
+[2024-06-11 19:33:47,408 INFO] Epoch:4, Snapshot: 139; Loss: 0.6939
+[2024-06-11 19:33:48,362 INFO] Epoch:4, Snapshot: 140; Loss: 0.6930
+[2024-06-11 19:33:49,269 INFO] Epoch:4, Snapshot: 141; Loss: 0.6932
+[2024-06-11 19:33:50,206 INFO] Epoch:4, Snapshot: 142; Loss: 0.6933
+[2024-06-11 19:33:51,144 INFO] Epoch:4, Snapshot: 143; Loss: 0.6935
+[2024-06-11 19:33:52,097 INFO] Epoch:4, Snapshot: 144; Loss: 0.6933
+[2024-06-11 19:33:53,019 INFO] Epoch:4, Snapshot: 145; Loss: 0.6928
+[2024-06-11 19:33:53,966 INFO] Epoch:4, Snapshot: 146; Loss: 0.6941
+[2024-06-11 19:33:54,895 INFO] Epoch:4, Snapshot: 147; Loss: 0.6932
+[2024-06-11 19:33:55,818 INFO] Epoch:4, Snapshot: 148; Loss: 0.6931
+[2024-06-11 19:33:56,756 INFO] Epoch:4, Snapshot: 149; Loss: 0.6936
+[2024-06-11 19:33:57,678 INFO] Epoch:4, Snapshot: 150; Loss: 0.6935
+[2024-06-11 19:33:58,600 INFO] Epoch:4, Snapshot: 151; Loss: 0.6934
+[2024-06-11 19:33:59,554 INFO] Epoch:4, Snapshot: 152; Loss: 0.6931
+[2024-06-11 19:34:00,523 INFO] Epoch:4, Snapshot: 153; Loss: 0.6931
+[2024-06-11 19:34:01,477 INFO] Epoch:4, Snapshot: 154; Loss: 0.6933
+[2024-06-11 19:34:02,414 INFO] Epoch:4, Snapshot: 155; Loss: 0.6932
+[2024-06-11 19:34:03,337 INFO] Epoch:4, Snapshot: 156; Loss: 0.6930
+[2024-06-11 19:34:04,259 INFO] Epoch:4, Snapshot: 157; Loss: 0.6931
+[2024-06-11 19:34:05,182 INFO] Epoch:4, Snapshot: 158; Loss: 0.6930
+[2024-06-11 19:34:06,089 INFO] Epoch:4, Snapshot: 159; Loss: 0.6926
+[2024-06-11 19:34:07,042 INFO] Epoch:4, Snapshot: 160; Loss: 0.6930
+[2024-06-11 19:34:07,964 INFO] Epoch:4, Snapshot: 161; Loss: 0.6939
+[2024-06-11 19:34:08,902 INFO] Epoch:4, Snapshot: 162; Loss: 0.6929
+[2024-06-11 19:34:09,824 INFO] Epoch:4, Snapshot: 163; Loss: 0.6951
+[2024-06-11 19:34:10,762 INFO] Epoch:4, Snapshot: 164; Loss: 0.6930
+[2024-06-11 19:34:11,701 INFO] Epoch:4, Snapshot: 165; Loss: 0.6931
+[2024-06-11 19:34:12,654 INFO] Epoch:4, Snapshot: 166; Loss: 0.6933
+[2024-06-11 19:34:13,592 INFO] Epoch:4, Snapshot: 167; Loss: 0.6937
+[2024-06-11 19:34:14,530 INFO] Epoch:4, Snapshot: 168; Loss: 0.6940
+[2024-06-11 19:34:15,451 INFO] Epoch:4, Snapshot: 169; Loss: 0.6934
+[2024-06-11 19:34:16,374 INFO] Epoch:4, Snapshot: 170; Loss: 0.6934
+[2024-06-11 19:34:17,296 INFO] Epoch:4, Snapshot: 171; Loss: 0.6943
+[2024-06-11 19:34:18,233 INFO] Epoch:4, Snapshot: 172; Loss: 0.6940
+[2024-06-11 19:34:19,171 INFO] Epoch:4, Snapshot: 173; Loss: 0.6932
+[2024-06-11 19:34:20,109 INFO] Epoch:4, Snapshot: 174; Loss: 0.6931
+[2024-06-11 19:34:21,046 INFO] Epoch:4, Snapshot: 175; Loss: 0.6934
+[2024-06-11 19:34:21,983 INFO] Epoch:4, Snapshot: 176; Loss: 0.6922
+[2024-06-11 19:34:22,889 INFO] Epoch:4, Snapshot: 177; Loss: 0.6931
+[2024-06-11 19:34:23,859 INFO] Epoch:4, Snapshot: 178; Loss: 0.6957
+[2024-06-11 19:34:24,812 INFO] Epoch:4, Snapshot: 179; Loss: 0.6926
+[2024-06-11 19:34:25,734 INFO] Epoch:4, Snapshot: 180; Loss: 0.6933
+[2024-06-11 19:34:26,641 INFO] Epoch:4, Snapshot: 181; Loss: 0.6931
+[2024-06-11 19:34:27,579 INFO] Epoch:4, Snapshot: 182; Loss: 0.6930
+[2024-06-11 19:34:28,517 INFO] Epoch:4, Snapshot: 183; Loss: 0.6926
+[2024-06-11 19:34:29,455 INFO] Epoch:4, Snapshot: 184; Loss: 0.6933
+[2024-06-11 19:34:30,378 INFO] Epoch:4, Snapshot: 185; Loss: 0.6945
+[2024-06-11 19:34:31,284 INFO] Epoch:4, Snapshot: 186; Loss: 0.6947
+[2024-06-11 19:34:32,222 INFO] Epoch:4, Snapshot: 187; Loss: 0.6940
+[2024-06-11 19:34:33,145 INFO] Epoch:4, Snapshot: 188; Loss: 0.6931
+[2024-06-11 19:34:34,051 INFO] Epoch:4, Snapshot: 189; Loss: 0.6935
+[2024-06-11 19:34:34,974 INFO] Epoch:4, Snapshot: 190; Loss: 0.6937
+[2024-06-11 19:34:35,896 INFO] Epoch:4, Snapshot: 191; Loss: 0.6928
+[2024-06-11 19:34:36,882 INFO] Epoch:4, Snapshot: 192; Loss: 0.6964
+[2024-06-11 19:34:37,820 INFO] Epoch:4, Snapshot: 193; Loss: 0.6937
+[2024-06-11 19:34:38,741 INFO] Epoch:4, Snapshot: 194; Loss: 0.6931
+[2024-06-11 19:34:39,648 INFO] Epoch:4, Snapshot: 195; Loss: 0.6929
+[2024-06-11 19:34:40,570 INFO] Epoch:4, Snapshot: 196; Loss: 0.6929
+[2024-06-11 19:34:41,509 INFO] Epoch:4, Snapshot: 197; Loss: 0.6946
+[2024-06-11 19:34:42,509 INFO] Epoch:4, Snapshot: 198; Loss: 0.6939
+[2024-06-11 19:34:43,446 INFO] Epoch:4, Snapshot: 199; Loss: 0.6948
+[2024-06-11 19:34:44,353 INFO] Epoch:4, Snapshot: 200; Loss: 0.6928
+[2024-06-11 19:34:45,290 INFO] Epoch:4, Snapshot: 201; Loss: 0.6931
+[2024-06-11 19:34:46,259 INFO] Epoch:4, Snapshot: 202; Loss: 0.6927
+[2024-06-11 19:34:47,198 INFO] Epoch:4, Snapshot: 203; Loss: 0.6955
+[2024-06-11 19:34:48,119 INFO] Epoch:4, Snapshot: 204; Loss: 0.6927
+[2024-06-11 19:34:49,041 INFO] Epoch:4, Snapshot: 205; Loss: 0.6955
+[2024-06-11 19:34:49,979 INFO] Epoch:4, Snapshot: 206; Loss: 0.6929
+[2024-06-11 19:34:50,917 INFO] Epoch:4, Snapshot: 207; Loss: 0.6931
+[2024-06-11 19:34:51,869 INFO] Epoch:4, Snapshot: 208; Loss: 0.6931
+[2024-06-11 19:34:52,792 INFO] Epoch:4, Snapshot: 209; Loss: 0.6926
+[2024-06-11 19:34:53,714 INFO] Epoch:4, Snapshot: 210; Loss: 0.6935
+[2024-06-11 19:34:54,653 INFO] Epoch:4, Snapshot: 211; Loss: 0.6943
+[2024-06-11 19:34:55,573 INFO] Epoch:4, Snapshot: 212; Loss: 0.6948
+[2024-06-11 19:34:56,495 INFO] Epoch:4, Snapshot: 213; Loss: 0.6924
+[2024-06-11 19:34:57,464 INFO] Epoch:4, Snapshot: 214; Loss: 0.6933
+[2024-06-11 19:34:58,402 INFO] Epoch:4, Snapshot: 215; Loss: 0.6935
+[2024-06-11 19:34:59,340 INFO] Epoch:4, Snapshot: 216; Loss: 0.6932
+[2024-06-11 19:35:00,262 INFO] Epoch:4, Snapshot: 217; Loss: 0.6932
+[2024-06-11 19:35:01,168 INFO] Epoch:4, Snapshot: 218; Loss: 0.6930
+[2024-06-11 19:35:02,118 INFO] Epoch:4, Snapshot: 219; Loss: 0.6940
+[2024-06-11 19:35:03,028 INFO] Epoch:4, Snapshot: 220; Loss: 0.6933
+[2024-06-11 19:35:03,966 INFO] Epoch:4, Snapshot: 221; Loss: 0.6931
+[2024-06-11 19:35:04,904 INFO] Epoch:4, Snapshot: 222; Loss: 0.6935
+[2024-06-11 19:35:05,826 INFO] Epoch:4, Snapshot: 223; Loss: 0.6940
+[2024-06-11 19:35:06,763 INFO] Epoch:4, Snapshot: 224; Loss: 0.6944
+[2024-06-11 19:35:07,670 INFO] Epoch:4, Snapshot: 225; Loss: 0.6926
+[2024-06-11 19:35:08,623 INFO] Epoch:4, Snapshot: 226; Loss: 0.6960
+[2024-06-11 19:35:09,561 INFO] Epoch:4, Snapshot: 227; Loss: 0.6976
+[2024-06-11 19:35:10,467 INFO] Epoch:4, Snapshot: 228; Loss: 0.6923
+[2024-06-11 19:35:11,391 INFO] Epoch:4, Snapshot: 229; Loss: 0.6926
+[2024-06-11 19:35:12,297 INFO] Epoch:4, Snapshot: 230; Loss: 0.6929
+[2024-06-11 19:35:13,219 INFO] Epoch:4, Snapshot: 231; Loss: 0.6932
+[2024-06-11 19:35:14,157 INFO] Epoch:4, Snapshot: 232; Loss: 0.6932
+[2024-06-11 19:35:15,097 INFO] Epoch:4, Snapshot: 233; Loss: 0.6937
+[2024-06-11 19:35:16,048 INFO] Epoch:4, Snapshot: 234; Loss: 0.6931
+[2024-06-11 19:35:16,997 INFO] Epoch:4, Snapshot: 235; Loss: 0.6931
+[2024-06-11 19:35:17,892 INFO] Epoch:4, Snapshot: 236; Loss: 0.6932
+[2024-06-11 19:35:18,799 INFO] Epoch:4, Snapshot: 237; Loss: 0.6932
+[2024-06-11 19:35:19,705 INFO] Epoch:4, Snapshot: 238; Loss: 0.6927
+[2024-06-11 19:35:20,611 INFO] Epoch:4, Snapshot: 239; Loss: 0.6926
+[2024-06-11 19:35:21,518 INFO] Epoch:4, Snapshot: 240; Loss: 0.6962
+[2024-06-11 19:35:22,440 INFO] Epoch:4, Snapshot: 241; Loss: 0.6936
+[2024-06-11 19:35:23,359 INFO] Epoch:4, Snapshot: 242; Loss: 0.6937
+[2024-06-11 19:35:24,268 INFO] Epoch:4, Snapshot: 243; Loss: 0.6934
+[2024-06-11 19:35:25,207 INFO] Epoch:4, Snapshot: 244; Loss: 0.6931
+[2024-06-11 19:35:26,144 INFO] Epoch:4, Snapshot: 245; Loss: 0.6935
+[2024-06-11 19:35:27,066 INFO] Epoch:4, Snapshot: 246; Loss: 0.6955
+[2024-06-11 19:35:28,036 INFO] Epoch:4, Snapshot: 247; Loss: 0.6924
+[2024-06-11 19:35:28,958 INFO] Epoch:4, Snapshot: 248; Loss: 0.6922
+[2024-06-11 19:35:29,849 INFO] Epoch:4, Snapshot: 249; Loss: 0.6948
+[2024-06-11 19:35:30,787 INFO] Epoch:4, Snapshot: 250; Loss: 0.6930
+[2024-06-11 19:35:31,741 INFO] Epoch:4, Snapshot: 251; Loss: 0.6932
+[2024-06-11 19:35:32,600 INFO] Epoch:4, Snapshot: 252; Loss: 0.6933
+[2024-06-11 19:35:33,460 INFO] Epoch:4, Snapshot: 253; Loss: 0.6937
+[2024-06-11 19:35:34,303 INFO] Epoch:4, Snapshot: 254; Loss: 0.6931
+[2024-06-11 19:35:35,225 INFO] Epoch:4, Snapshot: 255; Loss: 0.6934
+[2024-06-11 19:35:36,178 INFO] Epoch:4, Snapshot: 256; Loss: 0.6938
+[2024-06-11 19:35:37,100 INFO] Epoch:4, Snapshot: 257; Loss: 0.6930
+[2024-06-11 19:35:38,007 INFO] Epoch:4, Snapshot: 258; Loss: 0.6930
+[2024-06-11 19:35:38,866 INFO] Epoch:4, Snapshot: 259; Loss: 0.6933
+[2024-06-11 19:35:39,695 INFO] Epoch:4, Snapshot: 260; Loss: 0.6933
+[2024-06-11 19:35:40,569 INFO] Epoch:4, Snapshot: 261; Loss: 0.6930
+[2024-06-11 19:35:41,429 INFO] Epoch:4, Snapshot: 262; Loss: 0.6927
+[2024-06-11 19:35:42,257 INFO] Epoch:4, Snapshot: 263; Loss: 0.6942
+[2024-06-11 19:35:43,101 INFO] Epoch:4, Snapshot: 264; Loss: 0.6944
+[2024-06-11 19:35:43,976 INFO] Epoch:4, Snapshot: 265; Loss: 0.6932
+[2024-06-11 19:35:44,851 INFO] Epoch:4, Snapshot: 266; Loss: 0.6934
+[2024-06-11 19:35:45,711 INFO] Epoch:4, Snapshot: 267; Loss: 0.6930
+[2024-06-11 19:35:46,571 INFO] Epoch:4, Snapshot: 268; Loss: 0.6931
+[2024-06-11 19:35:47,446 INFO] Epoch:4, Snapshot: 269; Loss: 0.6930
+[2024-06-11 19:35:48,290 INFO] Epoch:4, Snapshot: 270; Loss: 0.6935
+[2024-06-11 19:35:49,166 INFO] Epoch:4, Snapshot: 271; Loss: 0.6930
+[2024-06-11 19:35:50,041 INFO] Epoch:4, Snapshot: 272; Loss: 0.6936
+[2024-06-11 19:35:50,885 INFO] Epoch:4, Snapshot: 273; Loss: 0.6937
+[2024-06-11 19:35:51,729 INFO] Epoch:4, Snapshot: 274; Loss: 0.6930
+[2024-06-11 19:35:52,574 INFO] Epoch:4, Snapshot: 275; Loss: 0.6931
+[2024-06-11 19:35:53,417 INFO] Epoch:4, Snapshot: 276; Loss: 0.6927
+[2024-06-11 19:35:54,277 INFO] Epoch:4, Snapshot: 277; Loss: 0.6915
+[2024-06-11 19:35:55,152 INFO] Epoch:4, Snapshot: 278; Loss: 0.6947
+[2024-06-11 19:35:56,043 INFO] Epoch:4, Snapshot: 279; Loss: 0.6955
+[2024-06-11 19:35:56,885 INFO] Epoch:4, Snapshot: 280; Loss: 0.6944
+[2024-06-11 19:35:57,746 INFO] Epoch:4, Snapshot: 281; Loss: 0.6938
+[2024-06-11 19:35:58,590 INFO] Epoch:4, Snapshot: 282; Loss: 0.6928
+[2024-06-11 19:35:59,485 INFO] Epoch:4, Snapshot: 283; Loss: 0.6931
+[2024-06-11 19:36:00,340 INFO] Epoch:4, Snapshot: 284; Loss: 0.6933
+[2024-06-11 19:36:01,185 INFO] Epoch:4, Snapshot: 285; Loss: 0.6942
+[2024-06-11 19:36:02,044 INFO] Epoch:4, Snapshot: 286; Loss: 0.6928
+[2024-06-11 19:36:02,919 INFO] Epoch:4, Snapshot: 287; Loss: 0.6930
+[2024-06-11 19:36:03,764 INFO] Epoch:4, Snapshot: 288; Loss: 0.6927
+[2024-06-11 19:36:04,624 INFO] Epoch:4, Snapshot: 289; Loss: 0.6931
+[2024-06-11 19:36:05,468 INFO] Epoch:4, Snapshot: 290; Loss: 0.6929
+[2024-06-11 19:36:06,328 INFO] Epoch:4, Snapshot: 291; Loss: 0.6933
+[2024-06-11 19:36:07,172 INFO] Epoch:4, Snapshot: 292; Loss: 0.6936
+[2024-06-11 19:36:08,047 INFO] Epoch:4, Snapshot: 293; Loss: 0.6932
+[2024-06-11 19:36:08,891 INFO] Epoch:4, Snapshot: 294; Loss: 0.6934
+[2024-06-11 19:36:09,751 INFO] Epoch:4, Snapshot: 295; Loss: 0.6931
+[2024-06-11 19:36:10,627 INFO] Epoch:4, Snapshot: 296; Loss: 0.6933
+[2024-06-11 19:36:11,487 INFO] Epoch:4, Snapshot: 297; Loss: 0.6938
+[2024-06-11 19:36:12,331 INFO] Epoch:4, Snapshot: 298; Loss: 0.6934
+[2024-06-11 19:36:13,191 INFO] Epoch:4, Snapshot: 299; Loss: 0.6937
+[2024-06-11 19:36:14,035 INFO] Epoch:4, Snapshot: 300; Loss: 0.6939
+[2024-06-11 19:36:14,895 INFO] Epoch:4, Snapshot: 301; Loss: 0.6921
+[2024-06-11 19:36:15,770 INFO] Epoch:4, Snapshot: 302; Loss: 0.6920
+[2024-06-11 19:36:16,648 INFO] Epoch:4, Snapshot: 303; Loss: 0.6926
+[2024-06-11 19:36:17,504 INFO] Epoch:4, Snapshot: 304; Loss: 0.6965
+[2024-06-11 19:36:18,333 INFO] Epoch:4, Snapshot: 305; Loss: 0.6933
+[2024-06-11 19:36:19,161 INFO] Epoch:4, Snapshot: 306; Loss: 0.6934
+[2024-06-11 19:36:20,021 INFO] Epoch:4, Snapshot: 307; Loss: 0.6930
+[2024-06-11 19:36:20,880 INFO] Epoch:4, Snapshot: 308; Loss: 0.6933
+[2024-06-11 19:36:21,740 INFO] Epoch:4, Snapshot: 309; Loss: 0.6956
+[2024-06-11 19:36:22,584 INFO] Epoch:4, Snapshot: 310; Loss: 0.6934
+[2024-06-11 19:36:23,428 INFO] Epoch:4, Snapshot: 311; Loss: 0.6933
+[2024-06-11 19:36:24,272 INFO] Epoch:4, Snapshot: 312; Loss: 0.6931
+[2024-06-11 19:36:25,132 INFO] Epoch:4, Snapshot: 313; Loss: 0.6931
+[2024-06-11 19:36:25,993 INFO] Epoch:4, Snapshot: 314; Loss: 0.6936
+[2024-06-11 19:36:26,835 INFO] Epoch:4, Snapshot: 315; Loss: 0.6930
+[2024-06-11 19:36:27,694 INFO] Epoch:4, Snapshot: 316; Loss: 0.6935
+[2024-06-11 19:36:28,554 INFO] Epoch:4, Snapshot: 317; Loss: 0.6934
+[2024-06-11 19:40:58,625 INFO] ==========================================================================================
+[2024-06-11 19:40:58,625 INFO] Epoch:4, Loss: 0.6938, Time: 566.095, GPU: 566.0MiB
+[2024-06-11 19:40:58,625 INFO] Epoch:4, Accuracy: 0.5005; F1: 0.6670; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, Memory: 565.9653, time: 753.4433
+[2024-06-11 19:40:59,626 INFO] Epoch:5, Snapshot: 0; Loss: 0.7092
+[2024-06-11 19:41:00,829 INFO] Epoch:5, Snapshot: 1; Loss: 0.6932
+[2024-06-11 19:41:01,908 INFO] Epoch:5, Snapshot: 2; Loss: 0.6936
+[2024-06-11 19:41:03,002 INFO] Epoch:5, Snapshot: 3; Loss: 0.6936
+[2024-06-11 19:41:04,066 INFO] Epoch:5, Snapshot: 4; Loss: 0.6931
+[2024-06-11 19:41:05,143 INFO] Epoch:5, Snapshot: 5; Loss: 0.6929
+[2024-06-11 19:41:06,206 INFO] Epoch:5, Snapshot: 6; Loss: 0.6943
+[2024-06-11 19:41:07,284 INFO] Epoch:5, Snapshot: 7; Loss: 0.6932
+[2024-06-11 19:41:08,394 INFO] Epoch:5, Snapshot: 8; Loss: 0.6926
+[2024-06-11 19:41:09,505 INFO] Epoch:5, Snapshot: 9; Loss: 0.6933
+[2024-06-11 19:41:10,568 INFO] Epoch:5, Snapshot: 10; Loss: 0.6933
+[2024-06-11 19:41:11,553 INFO] Epoch:5, Snapshot: 11; Loss: 0.6931
+[2024-06-11 19:41:12,616 INFO] Epoch:5, Snapshot: 12; Loss: 0.6931
+[2024-06-11 19:41:13,663 INFO] Epoch:5, Snapshot: 13; Loss: 0.6932
+[2024-06-11 19:41:14,711 INFO] Epoch:5, Snapshot: 14; Loss: 0.6935
+[2024-06-11 19:41:15,789 INFO] Epoch:5, Snapshot: 15; Loss: 0.6932
+[2024-06-11 19:41:16,852 INFO] Epoch:5, Snapshot: 16; Loss: 0.6926
+[2024-06-11 19:41:17,945 INFO] Epoch:5, Snapshot: 17; Loss: 0.6916
+[2024-06-11 19:41:19,024 INFO] Epoch:5, Snapshot: 18; Loss: 0.6961
+[2024-06-11 19:41:19,977 INFO] Epoch:5, Snapshot: 19; Loss: 0.6981
+[2024-06-11 19:41:20,915 INFO] Epoch:5, Snapshot: 20; Loss: 0.6946
+[2024-06-11 19:41:21,854 INFO] Epoch:5, Snapshot: 21; Loss: 0.6930
+[2024-06-11 19:41:22,745 INFO] Epoch:5, Snapshot: 22; Loss: 0.6929
+[2024-06-11 19:41:23,667 INFO] Epoch:5, Snapshot: 23; Loss: 0.6934
+[2024-06-11 19:41:24,589 INFO] Epoch:5, Snapshot: 24; Loss: 0.6935
+[2024-06-11 19:41:25,527 INFO] Epoch:5, Snapshot: 25; Loss: 0.6945
+[2024-06-11 19:41:26,433 INFO] Epoch:5, Snapshot: 26; Loss: 0.6937
+[2024-06-11 19:41:27,355 INFO] Epoch:5, Snapshot: 27; Loss: 0.6937
+[2024-06-11 19:41:28,293 INFO] Epoch:5, Snapshot: 28; Loss: 0.6951
+[2024-06-11 19:41:29,252 INFO] Epoch:5, Snapshot: 29; Loss: 0.6928
+[2024-06-11 19:41:30,199 INFO] Epoch:5, Snapshot: 30; Loss: 0.6928
+[2024-06-11 19:41:31,168 INFO] Epoch:5, Snapshot: 31; Loss: 0.6959
+[2024-06-11 19:41:32,185 INFO] Epoch:5, Snapshot: 32; Loss: 0.7036
+[2024-06-11 19:41:33,169 INFO] Epoch:5, Snapshot: 33; Loss: 0.6955
+[2024-06-11 19:41:34,137 INFO] Epoch:5, Snapshot: 34; Loss: 0.6968
+[2024-06-11 19:41:35,091 INFO] Epoch:5, Snapshot: 35; Loss: 0.6934
+[2024-06-11 19:41:36,044 INFO] Epoch:5, Snapshot: 36; Loss: 0.6962
+[2024-06-11 19:41:36,998 INFO] Epoch:5, Snapshot: 37; Loss: 0.6957
+[2024-06-11 19:41:37,951 INFO] Epoch:5, Snapshot: 38; Loss: 0.6964
+[2024-06-11 19:41:38,920 INFO] Epoch:5, Snapshot: 39; Loss: 0.6934
+[2024-06-11 19:41:39,889 INFO] Epoch:5, Snapshot: 40; Loss: 0.6947
+[2024-06-11 19:41:40,875 INFO] Epoch:5, Snapshot: 41; Loss: 0.6929
+[2024-06-11 19:41:41,841 INFO] Epoch:5, Snapshot: 42; Loss: 0.6945
+[2024-06-11 19:41:42,811 INFO] Epoch:5, Snapshot: 43; Loss: 0.6970
+[2024-06-11 19:41:43,780 INFO] Epoch:5, Snapshot: 44; Loss: 0.6919
+[2024-06-11 19:41:44,743 INFO] Epoch:5, Snapshot: 45; Loss: 0.6987
+[2024-06-11 19:41:45,685 INFO] Epoch:5, Snapshot: 46; Loss: 0.6964
+[2024-06-11 19:41:46,639 INFO] Epoch:5, Snapshot: 47; Loss: 0.6931
+[2024-06-11 19:41:47,591 INFO] Epoch:5, Snapshot: 48; Loss: 0.6935
+[2024-06-11 19:41:48,576 INFO] Epoch:5, Snapshot: 49; Loss: 0.6978
+[2024-06-11 19:41:49,545 INFO] Epoch:5, Snapshot: 50; Loss: 0.6969
+[2024-06-11 19:41:50,546 INFO] Epoch:5, Snapshot: 51; Loss: 0.6980
+[2024-06-11 19:41:51,530 INFO] Epoch:5, Snapshot: 52; Loss: 0.6962
+[2024-06-11 19:41:52,515 INFO] Epoch:5, Snapshot: 53; Loss: 0.6928
+[2024-06-11 19:41:53,483 INFO] Epoch:5, Snapshot: 54; Loss: 0.6946
+[2024-06-11 19:41:54,452 INFO] Epoch:5, Snapshot: 55; Loss: 0.7004
+[2024-06-11 19:41:55,406 INFO] Epoch:5, Snapshot: 56; Loss: 0.7006
+[2024-06-11 19:41:56,392 INFO] Epoch:5, Snapshot: 57; Loss: 0.6962
+[2024-06-11 19:41:57,345 INFO] Epoch:5, Snapshot: 58; Loss: 0.6942
+[2024-06-11 19:41:58,314 INFO] Epoch:5, Snapshot: 59; Loss: 0.6932
+[2024-06-11 19:41:59,330 INFO] Epoch:5, Snapshot: 60; Loss: 0.6957
+[2024-06-11 19:42:00,283 INFO] Epoch:5, Snapshot: 61; Loss: 0.6933
+[2024-06-11 19:42:01,252 INFO] Epoch:5, Snapshot: 62; Loss: 0.6929
+[2024-06-11 19:42:02,237 INFO] Epoch:5, Snapshot: 63; Loss: 0.6951
+[2024-06-11 19:42:03,206 INFO] Epoch:5, Snapshot: 64; Loss: 0.6961
+[2024-06-11 19:42:04,175 INFO] Epoch:5, Snapshot: 65; Loss: 0.6936
+[2024-06-11 19:42:05,144 INFO] Epoch:5, Snapshot: 66; Loss: 0.6935
+[2024-06-11 19:42:06,113 INFO] Epoch:5, Snapshot: 67; Loss: 0.6932
+[2024-06-11 19:42:07,035 INFO] Epoch:5, Snapshot: 68; Loss: 0.6940
+[2024-06-11 19:42:07,962 INFO] Epoch:5, Snapshot: 69; Loss: 0.6946
+[2024-06-11 19:42:08,911 INFO] Epoch:5, Snapshot: 70; Loss: 0.6931
+[2024-06-11 19:42:09,864 INFO] Epoch:5, Snapshot: 71; Loss: 0.6951
+[2024-06-11 19:42:10,786 INFO] Epoch:5, Snapshot: 72; Loss: 0.6929
+[2024-06-11 19:42:11,724 INFO] Epoch:5, Snapshot: 73; Loss: 0.6934
+[2024-06-11 19:42:12,660 INFO] Epoch:5, Snapshot: 74; Loss: 0.6940
+[2024-06-11 19:42:13,598 INFO] Epoch:5, Snapshot: 75; Loss: 0.6934
+[2024-06-11 19:42:14,552 INFO] Epoch:5, Snapshot: 76; Loss: 0.6932
+[2024-06-11 19:42:15,505 INFO] Epoch:5, Snapshot: 77; Loss: 0.6933
+[2024-06-11 19:42:16,458 INFO] Epoch:5, Snapshot: 78; Loss: 0.6932
+[2024-06-11 19:42:17,395 INFO] Epoch:5, Snapshot: 79; Loss: 0.6931
+[2024-06-11 19:42:18,318 INFO] Epoch:5, Snapshot: 80; Loss: 0.6930
+[2024-06-11 19:42:19,244 INFO] Epoch:5, Snapshot: 81; Loss: 0.6926
+[2024-06-11 19:42:20,193 INFO] Epoch:5, Snapshot: 82; Loss: 0.6927
+[2024-06-11 19:42:21,100 INFO] Epoch:5, Snapshot: 83; Loss: 0.6925
+[2024-06-11 19:42:22,053 INFO] Epoch:5, Snapshot: 84; Loss: 0.6959
+[2024-06-11 19:42:22,991 INFO] Epoch:5, Snapshot: 85; Loss: 0.6939
+[2024-06-11 19:42:23,945 INFO] Epoch:5, Snapshot: 86; Loss: 0.6926
+[2024-06-11 19:42:24,914 INFO] Epoch:5, Snapshot: 87; Loss: 0.6933
+[2024-06-11 19:42:25,853 INFO] Epoch:5, Snapshot: 88; Loss: 0.6933
+[2024-06-11 19:42:26,820 INFO] Epoch:5, Snapshot: 89; Loss: 0.6939
+[2024-06-11 19:42:27,742 INFO] Epoch:5, Snapshot: 90; Loss: 0.6947
+[2024-06-11 19:42:28,664 INFO] Epoch:5, Snapshot: 91; Loss: 0.6932
+[2024-06-11 19:42:29,679 INFO] Epoch:5, Snapshot: 92; Loss: 0.6939
+[2024-06-11 19:42:30,632 INFO] Epoch:5, Snapshot: 93; Loss: 0.6934
+[2024-06-11 19:42:31,569 INFO] Epoch:5, Snapshot: 94; Loss: 0.6928
+[2024-06-11 19:42:32,491 INFO] Epoch:5, Snapshot: 95; Loss: 0.6927
+[2024-06-11 19:42:33,429 INFO] Epoch:5, Snapshot: 96; Loss: 0.6933
+[2024-06-11 19:42:34,335 INFO] Epoch:5, Snapshot: 97; Loss: 0.6932
+[2024-06-11 19:42:35,351 INFO] Epoch:5, Snapshot: 98; Loss: 0.6940
+[2024-06-11 19:42:36,320 INFO] Epoch:5, Snapshot: 99; Loss: 0.6930
+[2024-06-11 19:42:37,242 INFO] Epoch:5, Snapshot: 100; Loss: 0.6932
+[2024-06-11 19:42:38,164 INFO] Epoch:5, Snapshot: 101; Loss: 0.6931
+[2024-06-11 19:42:39,070 INFO] Epoch:5, Snapshot: 102; Loss: 0.6933
+[2024-06-11 19:42:40,011 INFO] Epoch:5, Snapshot: 103; Loss: 0.6931
+[2024-06-11 19:42:40,929 INFO] Epoch:5, Snapshot: 104; Loss: 0.6931
+[2024-06-11 19:42:41,867 INFO] Epoch:5, Snapshot: 105; Loss: 0.6928
+[2024-06-11 19:42:42,789 INFO] Epoch:5, Snapshot: 106; Loss: 0.6928
+[2024-06-11 19:42:43,696 INFO] Epoch:5, Snapshot: 107; Loss: 0.6941
+[2024-06-11 19:42:44,618 INFO] Epoch:5, Snapshot: 108; Loss: 0.6935
+[2024-06-11 19:42:45,556 INFO] Epoch:5, Snapshot: 109; Loss: 0.6926
+[2024-06-11 19:42:46,540 INFO] Epoch:5, Snapshot: 110; Loss: 0.6936
+[2024-06-11 19:42:47,494 INFO] Epoch:5, Snapshot: 111; Loss: 0.6924
+[2024-06-11 19:42:48,431 INFO] Epoch:5, Snapshot: 112; Loss: 0.6931
+[2024-06-11 19:42:49,385 INFO] Epoch:5, Snapshot: 113; Loss: 0.6930
+[2024-06-11 19:42:50,324 INFO] Epoch:5, Snapshot: 114; Loss: 0.6930
+[2024-06-11 19:42:51,245 INFO] Epoch:5, Snapshot: 115; Loss: 0.6933
+[2024-06-11 19:42:52,230 INFO] Epoch:5, Snapshot: 116; Loss: 0.6931
+[2024-06-11 19:42:53,167 INFO] Epoch:5, Snapshot: 117; Loss: 0.6933
+[2024-06-11 19:42:54,090 INFO] Epoch:5, Snapshot: 118; Loss: 0.6930
+[2024-06-11 19:42:55,029 INFO] Epoch:5, Snapshot: 119; Loss: 0.6941
+[2024-06-11 19:42:55,966 INFO] Epoch:5, Snapshot: 120; Loss: 0.6926
+[2024-06-11 19:42:56,904 INFO] Epoch:5, Snapshot: 121; Loss: 0.6936
+[2024-06-11 19:42:57,811 INFO] Epoch:5, Snapshot: 122; Loss: 0.6928
+[2024-06-11 19:42:58,733 INFO] Epoch:5, Snapshot: 123; Loss: 0.6929
+[2024-06-11 19:42:59,686 INFO] Epoch:5, Snapshot: 124; Loss: 0.6942
+[2024-06-11 19:43:00,639 INFO] Epoch:5, Snapshot: 125; Loss: 0.6934
+[2024-06-11 19:43:01,561 INFO] Epoch:5, Snapshot: 126; Loss: 0.6933
+[2024-06-11 19:43:02,483 INFO] Epoch:5, Snapshot: 127; Loss: 0.6940
+[2024-06-11 19:43:03,421 INFO] Epoch:5, Snapshot: 128; Loss: 0.6944
+[2024-06-11 19:43:04,344 INFO] Epoch:5, Snapshot: 129; Loss: 0.6937
+[2024-06-11 19:43:05,407 INFO] Epoch:5, Snapshot: 130; Loss: 0.6932
+[2024-06-11 19:43:06,408 INFO] Epoch:5, Snapshot: 131; Loss: 0.6935
+[2024-06-11 19:43:07,330 INFO] Epoch:5, Snapshot: 132; Loss: 0.6932
+[2024-06-11 19:43:08,268 INFO] Epoch:5, Snapshot: 133; Loss: 0.6951
+[2024-06-11 19:43:09,221 INFO] Epoch:5, Snapshot: 134; Loss: 0.6930
+[2024-06-11 19:43:10,157 INFO] Epoch:5, Snapshot: 135; Loss: 0.6932
+[2024-06-11 19:43:11,095 INFO] Epoch:5, Snapshot: 136; Loss: 0.6926
+[2024-06-11 19:43:12,032 INFO] Epoch:5, Snapshot: 137; Loss: 0.6947
+[2024-06-11 19:43:12,955 INFO] Epoch:5, Snapshot: 138; Loss: 0.6964
+[2024-06-11 19:43:13,862 INFO] Epoch:5, Snapshot: 139; Loss: 0.6939
+[2024-06-11 19:43:14,799 INFO] Epoch:5, Snapshot: 140; Loss: 0.6930
+[2024-06-11 19:43:15,737 INFO] Epoch:5, Snapshot: 141; Loss: 0.6932
+[2024-06-11 19:43:16,753 INFO] Epoch:5, Snapshot: 142; Loss: 0.6933
+[2024-06-11 19:43:17,722 INFO] Epoch:5, Snapshot: 143; Loss: 0.6935
+[2024-06-11 19:43:18,674 INFO] Epoch:5, Snapshot: 144; Loss: 0.6933
+[2024-06-11 19:43:19,596 INFO] Epoch:5, Snapshot: 145; Loss: 0.6928
+[2024-06-11 19:43:20,553 INFO] Epoch:5, Snapshot: 146; Loss: 0.6940
+[2024-06-11 19:43:21,536 INFO] Epoch:5, Snapshot: 147; Loss: 0.6932
+[2024-06-11 19:43:22,458 INFO] Epoch:5, Snapshot: 148; Loss: 0.6931
+[2024-06-11 19:43:23,381 INFO] Epoch:5, Snapshot: 149; Loss: 0.6936
+[2024-06-11 19:43:24,303 INFO] Epoch:5, Snapshot: 150; Loss: 0.6935
+[2024-06-11 19:43:25,241 INFO] Epoch:5, Snapshot: 151; Loss: 0.6934
+[2024-06-11 19:43:26,194 INFO] Epoch:5, Snapshot: 152; Loss: 0.6931
+[2024-06-11 19:43:27,148 INFO] Epoch:5, Snapshot: 153; Loss: 0.6931
+[2024-06-11 19:43:28,086 INFO] Epoch:5, Snapshot: 154; Loss: 0.6933
+[2024-06-11 19:43:29,039 INFO] Epoch:5, Snapshot: 155; Loss: 0.6933
+[2024-06-11 19:43:29,977 INFO] Epoch:5, Snapshot: 156; Loss: 0.6930
+[2024-06-11 19:43:30,899 INFO] Epoch:5, Snapshot: 157; Loss: 0.6931
+[2024-06-11 19:43:31,821 INFO] Epoch:5, Snapshot: 158; Loss: 0.6930
+[2024-06-11 19:43:32,712 INFO] Epoch:5, Snapshot: 159; Loss: 0.6926
+[2024-06-11 19:43:33,650 INFO] Epoch:5, Snapshot: 160; Loss: 0.6930
+[2024-06-11 19:43:34,572 INFO] Epoch:5, Snapshot: 161; Loss: 0.6939
+[2024-06-11 19:43:35,509 INFO] Epoch:5, Snapshot: 162; Loss: 0.6929
+[2024-06-11 19:43:36,447 INFO] Epoch:5, Snapshot: 163; Loss: 0.6951
+[2024-06-11 19:43:37,416 INFO] Epoch:5, Snapshot: 164; Loss: 0.6930
+[2024-06-11 19:43:38,322 INFO] Epoch:5, Snapshot: 165; Loss: 0.6931
+[2024-06-11 19:43:39,245 INFO] Epoch:5, Snapshot: 166; Loss: 0.6933
+[2024-06-11 19:43:40,213 INFO] Epoch:5, Snapshot: 167; Loss: 0.6937
+[2024-06-11 19:43:41,151 INFO] Epoch:5, Snapshot: 168; Loss: 0.6939
+[2024-06-11 19:43:42,167 INFO] Epoch:5, Snapshot: 169; Loss: 0.6934
+[2024-06-11 19:43:43,152 INFO] Epoch:5, Snapshot: 170; Loss: 0.6934
+[2024-06-11 19:43:44,104 INFO] Epoch:5, Snapshot: 171; Loss: 0.6943
+[2024-06-11 19:43:45,058 INFO] Epoch:5, Snapshot: 172; Loss: 0.6940
+[2024-06-11 19:43:45,981 INFO] Epoch:5, Snapshot: 173; Loss: 0.6932
+[2024-06-11 19:43:46,919 INFO] Epoch:5, Snapshot: 174; Loss: 0.6931
+[2024-06-11 19:43:47,857 INFO] Epoch:5, Snapshot: 175; Loss: 0.6934
+[2024-06-11 19:43:48,811 INFO] Epoch:5, Snapshot: 176; Loss: 0.6922
+[2024-06-11 19:43:49,734 INFO] Epoch:5, Snapshot: 177; Loss: 0.6931
+[2024-06-11 19:43:50,671 INFO] Epoch:5, Snapshot: 178; Loss: 0.6957
+[2024-06-11 19:43:51,608 INFO] Epoch:5, Snapshot: 179; Loss: 0.6926
+[2024-06-11 19:43:52,530 INFO] Epoch:5, Snapshot: 180; Loss: 0.6933
+[2024-06-11 19:43:53,453 INFO] Epoch:5, Snapshot: 181; Loss: 0.6931
+[2024-06-11 19:43:54,374 INFO] Epoch:5, Snapshot: 182; Loss: 0.6930
+[2024-06-11 19:43:55,296 INFO] Epoch:5, Snapshot: 183; Loss: 0.6926
+[2024-06-11 19:43:56,203 INFO] Epoch:5, Snapshot: 184; Loss: 0.6933
+[2024-06-11 19:43:57,156 INFO] Epoch:5, Snapshot: 185; Loss: 0.6945
+[2024-06-11 19:43:58,079 INFO] Epoch:5, Snapshot: 186; Loss: 0.6947
+[2024-06-11 19:43:59,001 INFO] Epoch:5, Snapshot: 187; Loss: 0.6940
+[2024-06-11 19:43:59,923 INFO] Epoch:5, Snapshot: 188; Loss: 0.6931
+[2024-06-11 19:44:00,906 INFO] Epoch:5, Snapshot: 189; Loss: 0.6935
+[2024-06-11 19:44:01,830 INFO] Epoch:5, Snapshot: 190; Loss: 0.6937
+[2024-06-11 19:44:02,752 INFO] Epoch:5, Snapshot: 191; Loss: 0.6928
+[2024-06-11 19:44:03,659 INFO] Epoch:5, Snapshot: 192; Loss: 0.6964
+[2024-06-11 19:44:04,581 INFO] Epoch:5, Snapshot: 193; Loss: 0.6937
+[2024-06-11 19:44:05,518 INFO] Epoch:5, Snapshot: 194; Loss: 0.6931
+[2024-06-11 19:44:06,487 INFO] Epoch:5, Snapshot: 195; Loss: 0.6929
+[2024-06-11 19:44:07,409 INFO] Epoch:5, Snapshot: 196; Loss: 0.6930
+[2024-06-11 19:44:08,331 INFO] Epoch:5, Snapshot: 197; Loss: 0.6946
+[2024-06-11 19:44:09,253 INFO] Epoch:5, Snapshot: 198; Loss: 0.6939
+[2024-06-11 19:44:10,175 INFO] Epoch:5, Snapshot: 199; Loss: 0.6947
+[2024-06-11 19:44:11,097 INFO] Epoch:5, Snapshot: 200; Loss: 0.6928
+[2024-06-11 19:44:12,081 INFO] Epoch:5, Snapshot: 201; Loss: 0.6931
+[2024-06-11 19:44:13,035 INFO] Epoch:5, Snapshot: 202; Loss: 0.6926
+[2024-06-11 19:44:13,956 INFO] Epoch:5, Snapshot: 203; Loss: 0.6956
+[2024-06-11 19:44:14,924 INFO] Epoch:5, Snapshot: 204; Loss: 0.6927
+[2024-06-11 19:44:15,856 INFO] Epoch:5, Snapshot: 205; Loss: 0.6955
+[2024-06-11 19:44:16,800 INFO] Epoch:5, Snapshot: 206; Loss: 0.6929
+[2024-06-11 19:44:17,722 INFO] Epoch:5, Snapshot: 207; Loss: 0.6931
+[2024-06-11 19:44:18,643 INFO] Epoch:5, Snapshot: 208; Loss: 0.6931
+[2024-06-11 19:44:19,581 INFO] Epoch:5, Snapshot: 209; Loss: 0.6926
+[2024-06-11 19:44:20,472 INFO] Epoch:5, Snapshot: 210; Loss: 0.6935
+[2024-06-11 19:44:21,395 INFO] Epoch:5, Snapshot: 211; Loss: 0.6943
+[2024-06-11 19:44:22,348 INFO] Epoch:5, Snapshot: 212; Loss: 0.6948
+[2024-06-11 19:44:23,301 INFO] Epoch:5, Snapshot: 213; Loss: 0.6924
+[2024-06-11 19:44:24,224 INFO] Epoch:5, Snapshot: 214; Loss: 0.6933
+[2024-06-11 19:44:25,146 INFO] Epoch:5, Snapshot: 215; Loss: 0.6936
+[2024-06-11 19:44:26,084 INFO] Epoch:5, Snapshot: 216; Loss: 0.6932
+[2024-06-11 19:44:27,022 INFO] Epoch:5, Snapshot: 217; Loss: 0.6932
+[2024-06-11 19:44:27,960 INFO] Epoch:5, Snapshot: 218; Loss: 0.6930
+[2024-06-11 19:44:28,884 INFO] Epoch:5, Snapshot: 219; Loss: 0.6941
+[2024-06-11 19:44:29,821 INFO] Epoch:5, Snapshot: 220; Loss: 0.6934
+[2024-06-11 19:44:30,764 INFO] Epoch:5, Snapshot: 221; Loss: 0.6931
+[2024-06-11 19:44:31,714 INFO] Epoch:5, Snapshot: 222; Loss: 0.6935
+[2024-06-11 19:44:32,620 INFO] Epoch:5, Snapshot: 223; Loss: 0.6940
+[2024-06-11 19:44:33,544 INFO] Epoch:5, Snapshot: 224; Loss: 0.6945
+[2024-06-11 19:44:34,482 INFO] Epoch:5, Snapshot: 225; Loss: 0.6927
+[2024-06-11 19:44:35,404 INFO] Epoch:5, Snapshot: 226; Loss: 0.6960
+[2024-06-11 19:44:36,341 INFO] Epoch:5, Snapshot: 227; Loss: 0.6976
+[2024-06-11 19:44:37,280 INFO] Epoch:5, Snapshot: 228; Loss: 0.6923
+[2024-06-11 19:44:38,186 INFO] Epoch:5, Snapshot: 229; Loss: 0.6926
+[2024-06-11 19:44:39,108 INFO] Epoch:5, Snapshot: 230; Loss: 0.6929
+[2024-06-11 19:44:40,030 INFO] Epoch:5, Snapshot: 231; Loss: 0.6932
+[2024-06-11 19:44:40,969 INFO] Epoch:5, Snapshot: 232; Loss: 0.6932
+[2024-06-11 19:44:41,891 INFO] Epoch:5, Snapshot: 233; Loss: 0.6937
+[2024-06-11 19:44:42,798 INFO] Epoch:5, Snapshot: 234; Loss: 0.6931
+[2024-06-11 19:44:43,720 INFO] Epoch:5, Snapshot: 235; Loss: 0.6931
+[2024-06-11 19:44:44,626 INFO] Epoch:5, Snapshot: 236; Loss: 0.6932
+[2024-06-11 19:44:45,549 INFO] Epoch:5, Snapshot: 237; Loss: 0.6932
+[2024-06-11 19:44:46,454 INFO] Epoch:5, Snapshot: 238; Loss: 0.6927
+[2024-06-11 19:44:47,377 INFO] Epoch:5, Snapshot: 239; Loss: 0.6926
+[2024-06-11 19:44:48,330 INFO] Epoch:5, Snapshot: 240; Loss: 0.6962
+[2024-06-11 19:44:49,267 INFO] Epoch:5, Snapshot: 241; Loss: 0.6936
+[2024-06-11 19:44:50,173 INFO] Epoch:5, Snapshot: 242; Loss: 0.6937
+[2024-06-11 19:44:51,111 INFO] Epoch:5, Snapshot: 243; Loss: 0.6934
+[2024-06-11 19:44:52,051 INFO] Epoch:5, Snapshot: 244; Loss: 0.6931
+[2024-06-11 19:44:52,971 INFO] Epoch:5, Snapshot: 245; Loss: 0.6935
+[2024-06-11 19:44:53,893 INFO] Epoch:5, Snapshot: 246; Loss: 0.6955
+[2024-06-11 19:44:54,815 INFO] Epoch:5, Snapshot: 247; Loss: 0.6923
+[2024-06-11 19:44:55,753 INFO] Epoch:5, Snapshot: 248; Loss: 0.6922
+[2024-06-11 19:44:56,659 INFO] Epoch:5, Snapshot: 249; Loss: 0.6948
+[2024-06-11 19:44:57,597 INFO] Epoch:5, Snapshot: 250; Loss: 0.6930
+[2024-06-11 19:44:58,538 INFO] Epoch:5, Snapshot: 251; Loss: 0.6932
+[2024-06-11 19:44:59,395 INFO] Epoch:5, Snapshot: 252; Loss: 0.6933
+[2024-06-11 19:45:00,270 INFO] Epoch:5, Snapshot: 253; Loss: 0.6937
+[2024-06-11 19:45:01,129 INFO] Epoch:5, Snapshot: 254; Loss: 0.6931
+[2024-06-11 19:45:02,005 INFO] Epoch:5, Snapshot: 255; Loss: 0.6934
+[2024-06-11 19:45:02,958 INFO] Epoch:5, Snapshot: 256; Loss: 0.6939
+[2024-06-11 19:45:03,879 INFO] Epoch:5, Snapshot: 257; Loss: 0.6930
+[2024-06-11 19:45:04,802 INFO] Epoch:5, Snapshot: 258; Loss: 0.6930
+[2024-06-11 19:45:05,661 INFO] Epoch:5, Snapshot: 259; Loss: 0.6933
+[2024-06-11 19:45:06,490 INFO] Epoch:5, Snapshot: 260; Loss: 0.6933
+[2024-06-11 19:45:07,349 INFO] Epoch:5, Snapshot: 261; Loss: 0.6930
+[2024-06-11 19:45:08,193 INFO] Epoch:5, Snapshot: 262; Loss: 0.6927
+[2024-06-11 19:45:09,037 INFO] Epoch:5, Snapshot: 263; Loss: 0.6942
+[2024-06-11 19:45:09,866 INFO] Epoch:5, Snapshot: 264; Loss: 0.6944
+[2024-06-11 19:45:10,741 INFO] Epoch:5, Snapshot: 265; Loss: 0.6932
+[2024-06-11 19:45:11,601 INFO] Epoch:5, Snapshot: 266; Loss: 0.6934
+[2024-06-11 19:45:12,445 INFO] Epoch:5, Snapshot: 267; Loss: 0.6930
+[2024-06-11 19:45:13,289 INFO] Epoch:5, Snapshot: 268; Loss: 0.6931
+[2024-06-11 19:45:14,180 INFO] Epoch:5, Snapshot: 269; Loss: 0.6930
+[2024-06-11 19:45:15,039 INFO] Epoch:5, Snapshot: 270; Loss: 0.6935
+[2024-06-11 19:45:15,914 INFO] Epoch:5, Snapshot: 271; Loss: 0.6930
+[2024-06-11 19:45:16,758 INFO] Epoch:5, Snapshot: 272; Loss: 0.6936
+[2024-06-11 19:45:17,620 INFO] Epoch:5, Snapshot: 273; Loss: 0.6937
+[2024-06-11 19:45:18,478 INFO] Epoch:5, Snapshot: 274; Loss: 0.6930
+[2024-06-11 19:45:19,322 INFO] Epoch:5, Snapshot: 275; Loss: 0.6931
+[2024-06-11 19:45:20,166 INFO] Epoch:5, Snapshot: 276; Loss: 0.6927
+[2024-06-11 19:45:21,010 INFO] Epoch:5, Snapshot: 277; Loss: 0.6915
+[2024-06-11 19:45:21,878 INFO] Epoch:5, Snapshot: 278; Loss: 0.6947
+[2024-06-11 19:45:22,729 INFO] Epoch:5, Snapshot: 279; Loss: 0.6955
+[2024-06-11 19:45:23,588 INFO] Epoch:5, Snapshot: 280; Loss: 0.6944
+[2024-06-11 19:45:24,448 INFO] Epoch:5, Snapshot: 281; Loss: 0.6938
+[2024-06-11 19:45:25,308 INFO] Epoch:5, Snapshot: 282; Loss: 0.6928
+[2024-06-11 19:45:26,168 INFO] Epoch:5, Snapshot: 283; Loss: 0.6931
+[2024-06-11 19:45:27,012 INFO] Epoch:5, Snapshot: 284; Loss: 0.6933
+[2024-06-11 19:45:27,871 INFO] Epoch:5, Snapshot: 285; Loss: 0.6942
+[2024-06-11 19:45:28,733 INFO] Epoch:5, Snapshot: 286; Loss: 0.6928
+[2024-06-11 19:45:29,577 INFO] Epoch:5, Snapshot: 287; Loss: 0.6930
+[2024-06-11 19:45:30,437 INFO] Epoch:5, Snapshot: 288; Loss: 0.6927
+[2024-06-11 19:45:31,296 INFO] Epoch:5, Snapshot: 289; Loss: 0.6931
+[2024-06-11 19:45:32,156 INFO] Epoch:5, Snapshot: 290; Loss: 0.6929
+[2024-06-11 19:45:33,030 INFO] Epoch:5, Snapshot: 291; Loss: 0.6933
+[2024-06-11 19:45:33,890 INFO] Epoch:5, Snapshot: 292; Loss: 0.6936
+[2024-06-11 19:45:34,749 INFO] Epoch:5, Snapshot: 293; Loss: 0.6932
+[2024-06-11 19:45:35,624 INFO] Epoch:5, Snapshot: 294; Loss: 0.6934
+[2024-06-11 19:45:36,484 INFO] Epoch:5, Snapshot: 295; Loss: 0.6931
+[2024-06-11 19:45:37,343 INFO] Epoch:5, Snapshot: 296; Loss: 0.6933
+[2024-06-11 19:45:38,187 INFO] Epoch:5, Snapshot: 297; Loss: 0.6938
+[2024-06-11 19:45:39,078 INFO] Epoch:5, Snapshot: 298; Loss: 0.6934
+[2024-06-11 19:45:39,938 INFO] Epoch:5, Snapshot: 299; Loss: 0.6937
+[2024-06-11 19:45:40,798 INFO] Epoch:5, Snapshot: 300; Loss: 0.6939
+[2024-06-11 19:45:41,673 INFO] Epoch:5, Snapshot: 301; Loss: 0.6921
+[2024-06-11 19:45:42,564 INFO] Epoch:5, Snapshot: 302; Loss: 0.6920
+[2024-06-11 19:45:43,424 INFO] Epoch:5, Snapshot: 303; Loss: 0.6926
+[2024-06-11 19:45:44,284 INFO] Epoch:5, Snapshot: 304; Loss: 0.6965
+[2024-06-11 19:45:45,128 INFO] Epoch:5, Snapshot: 305; Loss: 0.6933
+[2024-06-11 19:45:45,987 INFO] Epoch:5, Snapshot: 306; Loss: 0.6934
+[2024-06-11 19:45:46,847 INFO] Epoch:5, Snapshot: 307; Loss: 0.6930
+[2024-06-11 19:45:47,707 INFO] Epoch:5, Snapshot: 308; Loss: 0.6933
+[2024-06-11 19:45:48,566 INFO] Epoch:5, Snapshot: 309; Loss: 0.6956
+[2024-06-11 19:45:49,426 INFO] Epoch:5, Snapshot: 310; Loss: 0.6934
+[2024-06-11 19:45:50,286 INFO] Epoch:5, Snapshot: 311; Loss: 0.6933
+[2024-06-11 19:45:51,145 INFO] Epoch:5, Snapshot: 312; Loss: 0.6931
+[2024-06-11 19:45:52,005 INFO] Epoch:5, Snapshot: 313; Loss: 0.6931
+[2024-06-11 19:45:52,849 INFO] Epoch:5, Snapshot: 314; Loss: 0.6936
+[2024-06-11 19:45:53,740 INFO] Epoch:5, Snapshot: 315; Loss: 0.6930
+[2024-06-11 19:45:54,621 INFO] Epoch:5, Snapshot: 316; Loss: 0.6935
+[2024-06-11 19:45:55,492 INFO] Epoch:5, Snapshot: 317; Loss: 0.6934
+[2024-06-11 19:50:24,133 INFO] ==========================================================================================
+[2024-06-11 19:50:24,133 INFO] Epoch:5, Loss: 0.6938, Time: 565.508, GPU: 566.0MiB
+[2024-06-11 19:50:24,133 INFO] Epoch:5, Accuracy: 0.5005; F1: 0.6670; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, Memory: 565.9653, time: 746.4078
+[2024-06-11 19:50:25,070 INFO] Epoch:6, Snapshot: 0; Loss: 0.7093
+[2024-06-11 19:50:26,227 INFO] Epoch:6, Snapshot: 1; Loss: 0.6932
+[2024-06-11 19:50:27,321 INFO] Epoch:6, Snapshot: 2; Loss: 0.6936
+[2024-06-11 19:50:28,447 INFO] Epoch:6, Snapshot: 3; Loss: 0.6936
+[2024-06-11 19:50:29,494 INFO] Epoch:6, Snapshot: 4; Loss: 0.6931
+[2024-06-11 19:50:30,541 INFO] Epoch:6, Snapshot: 5; Loss: 0.6929
+[2024-06-11 19:50:31,604 INFO] Epoch:6, Snapshot: 6; Loss: 0.6943
+[2024-06-11 19:50:32,667 INFO] Epoch:6, Snapshot: 7; Loss: 0.6932
+[2024-06-11 19:50:33,746 INFO] Epoch:6, Snapshot: 8; Loss: 0.6926
+[2024-06-11 19:50:34,839 INFO] Epoch:6, Snapshot: 9; Loss: 0.6933
+[2024-06-11 19:50:35,933 INFO] Epoch:6, Snapshot: 10; Loss: 0.6933
+[2024-06-11 19:50:36,963 INFO] Epoch:6, Snapshot: 11; Loss: 0.6931
+[2024-06-11 19:50:38,058 INFO] Epoch:6, Snapshot: 12; Loss: 0.6931
+[2024-06-11 19:50:39,168 INFO] Epoch:6, Snapshot: 13; Loss: 0.6932
+[2024-06-11 19:50:40,256 INFO] Epoch:6, Snapshot: 14; Loss: 0.6935
+[2024-06-11 19:50:41,326 INFO] Epoch:6, Snapshot: 15; Loss: 0.6932
+[2024-06-11 19:50:42,402 INFO] Epoch:6, Snapshot: 16; Loss: 0.6926
+[2024-06-11 19:50:43,514 INFO] Epoch:6, Snapshot: 17; Loss: 0.6916
+[2024-06-11 19:50:44,608 INFO] Epoch:6, Snapshot: 18; Loss: 0.6961
+[2024-06-11 19:50:45,604 INFO] Epoch:6, Snapshot: 19; Loss: 0.6981
+[2024-06-11 19:50:46,542 INFO] Epoch:6, Snapshot: 20; Loss: 0.6946
+[2024-06-11 19:50:47,490 INFO] Epoch:6, Snapshot: 21; Loss: 0.6930
+[2024-06-11 19:50:48,421 INFO] Epoch:6, Snapshot: 22; Loss: 0.6928
+[2024-06-11 19:50:49,358 INFO] Epoch:6, Snapshot: 23; Loss: 0.6934
+[2024-06-11 19:50:50,328 INFO] Epoch:6, Snapshot: 24; Loss: 0.6935
+[2024-06-11 19:50:51,312 INFO] Epoch:6, Snapshot: 25; Loss: 0.6945
+[2024-06-11 19:50:52,218 INFO] Epoch:6, Snapshot: 26; Loss: 0.6937
+[2024-06-11 19:50:53,161 INFO] Epoch:6, Snapshot: 27; Loss: 0.6937
+[2024-06-11 19:50:54,125 INFO] Epoch:6, Snapshot: 28; Loss: 0.6951
+[2024-06-11 19:50:55,094 INFO] Epoch:6, Snapshot: 29; Loss: 0.6928
+[2024-06-11 19:50:56,043 INFO] Epoch:6, Snapshot: 30; Loss: 0.6928
+[2024-06-11 19:50:57,023 INFO] Epoch:6, Snapshot: 31; Loss: 0.6960
+[2024-06-11 19:50:58,008 INFO] Epoch:6, Snapshot: 32; Loss: 0.7036
+[2024-06-11 19:50:58,992 INFO] Epoch:6, Snapshot: 33; Loss: 0.6955
+[2024-06-11 19:51:00,071 INFO] Epoch:6, Snapshot: 34; Loss: 0.6968
+[2024-06-11 19:51:01,071 INFO] Epoch:6, Snapshot: 35; Loss: 0.6934
+[2024-06-11 19:51:02,088 INFO] Epoch:6, Snapshot: 36; Loss: 0.6963
+[2024-06-11 19:51:03,043 INFO] Epoch:6, Snapshot: 37; Loss: 0.6957
+[2024-06-11 19:51:04,026 INFO] Epoch:6, Snapshot: 38; Loss: 0.6964
+[2024-06-11 19:51:04,998 INFO] Epoch:6, Snapshot: 39; Loss: 0.6934
+[2024-06-11 19:51:06,010 INFO] Epoch:6, Snapshot: 40; Loss: 0.6947
+[2024-06-11 19:51:07,037 INFO] Epoch:6, Snapshot: 41; Loss: 0.6929
+[2024-06-11 19:51:08,273 INFO] Epoch:6, Snapshot: 42; Loss: 0.6945
+[2024-06-11 19:51:10,211 INFO] Epoch:6, Snapshot: 43; Loss: 0.6971
+[2024-06-11 19:51:11,821 INFO] Epoch:6, Snapshot: 44; Loss: 0.6919
+[2024-06-11 19:51:13,291 INFO] Epoch:6, Snapshot: 45; Loss: 0.6987
+[2024-06-11 19:51:15,135 INFO] Epoch:6, Snapshot: 46; Loss: 0.6964
+[2024-06-11 19:51:16,652 INFO] Epoch:6, Snapshot: 47; Loss: 0.6931
+[2024-06-11 19:51:18,779 INFO] Epoch:6, Snapshot: 48; Loss: 0.6935
+[2024-06-11 19:51:20,826 INFO] Epoch:6, Snapshot: 49; Loss: 0.6979
+[2024-06-11 19:51:22,780 INFO] Epoch:6, Snapshot: 50; Loss: 0.6970
+[2024-06-11 19:51:24,656 INFO] Epoch:6, Snapshot: 51; Loss: 0.6980
+[2024-06-11 19:51:26,499 INFO] Epoch:6, Snapshot: 52; Loss: 0.6961
+[2024-06-11 19:51:28,501 INFO] Epoch:6, Snapshot: 53; Loss: 0.6927
+[2024-06-11 19:51:30,564 INFO] Epoch:6, Snapshot: 54; Loss: 0.6947
+[2024-06-11 19:51:32,439 INFO] Epoch:6, Snapshot: 55; Loss: 0.7005
+[2024-06-11 19:51:33,861 INFO] Epoch:6, Snapshot: 56; Loss: 0.7007
+[2024-06-11 19:51:35,127 INFO] Epoch:6, Snapshot: 57; Loss: 0.6962
+[2024-06-11 19:51:37,081 INFO] Epoch:6, Snapshot: 58; Loss: 0.6942
+[2024-06-11 19:51:38,582 INFO] Epoch:6, Snapshot: 59; Loss: 0.6932
+[2024-06-11 19:51:40,282 INFO] Epoch:6, Snapshot: 60; Loss: 0.6958
+[2024-06-11 19:51:42,095 INFO] Epoch:6, Snapshot: 61; Loss: 0.6933
+[2024-06-11 19:51:44,190 INFO] Epoch:6, Snapshot: 62; Loss: 0.6929
+[2024-06-11 19:51:46,190 INFO] Epoch:6, Snapshot: 63; Loss: 0.6951
+[2024-06-11 19:51:48,194 INFO] Epoch:6, Snapshot: 64; Loss: 0.6960
+[2024-06-11 19:51:50,368 INFO] Epoch:6, Snapshot: 65; Loss: 0.6936
+[2024-06-11 19:51:52,677 INFO] Epoch:6, Snapshot: 66; Loss: 0.6936
+[2024-06-11 19:51:54,608 INFO] Epoch:6, Snapshot: 67; Loss: 0.6933
+[2024-06-11 19:51:55,803 INFO] Epoch:6, Snapshot: 68; Loss: 0.6940
+[2024-06-11 19:51:57,694 INFO] Epoch:6, Snapshot: 69; Loss: 0.6946
+[2024-06-11 19:51:59,680 INFO] Epoch:6, Snapshot: 70; Loss: 0.6931
+[2024-06-11 19:52:01,586 INFO] Epoch:6, Snapshot: 71; Loss: 0.6951
+[2024-06-11 19:52:03,618 INFO] Epoch:6, Snapshot: 72; Loss: 0.6929
+[2024-06-11 19:52:05,244 INFO] Epoch:6, Snapshot: 73; Loss: 0.6935
+[2024-06-11 19:52:07,287 INFO] Epoch:6, Snapshot: 74; Loss: 0.6941
+[2024-06-11 19:52:09,307 INFO] Epoch:6, Snapshot: 75; Loss: 0.6934
+[2024-06-11 19:52:11,292 INFO] Epoch:6, Snapshot: 76; Loss: 0.6932
+[2024-06-11 19:52:13,374 INFO] Epoch:6, Snapshot: 77; Loss: 0.6933
+[2024-06-11 19:52:15,607 INFO] Epoch:6, Snapshot: 78; Loss: 0.6932
+[2024-06-11 19:52:16,952 INFO] Epoch:6, Snapshot: 79; Loss: 0.6931
+[2024-06-11 19:52:18,437 INFO] Epoch:6, Snapshot: 80; Loss: 0.6930
+[2024-06-11 19:52:20,126 INFO] Epoch:6, Snapshot: 81; Loss: 0.6927
+[2024-06-11 19:52:21,705 INFO] Epoch:6, Snapshot: 82; Loss: 0.6927
+[2024-06-11 19:52:23,190 INFO] Epoch:6, Snapshot: 83; Loss: 0.6925
+[2024-06-11 19:52:24,382 INFO] Epoch:6, Snapshot: 84; Loss: 0.6960
+[2024-06-11 19:52:25,329 INFO] Epoch:6, Snapshot: 85; Loss: 0.6940
+[2024-06-11 19:52:26,280 INFO] Epoch:6, Snapshot: 86; Loss: 0.6926
+[2024-06-11 19:52:27,220 INFO] Epoch:6, Snapshot: 87; Loss: 0.6934
+[2024-06-11 19:52:28,145 INFO] Epoch:6, Snapshot: 88; Loss: 0.6933
+[2024-06-11 19:52:29,255 INFO] Epoch:6, Snapshot: 89; Loss: 0.6939
+[2024-06-11 19:52:31,318 INFO] Epoch:6, Snapshot: 90; Loss: 0.6947
+[2024-06-11 19:52:33,569 INFO] Epoch:6, Snapshot: 91; Loss: 0.6932
+[2024-06-11 19:52:35,944 INFO] Epoch:6, Snapshot: 92; Loss: 0.6938
+[2024-06-11 19:52:37,711 INFO] Epoch:6, Snapshot: 93; Loss: 0.6934
+[2024-06-11 19:52:39,525 INFO] Epoch:6, Snapshot: 94; Loss: 0.6928
+[2024-06-11 19:52:41,010 INFO] Epoch:6, Snapshot: 95; Loss: 0.6927
+[2024-06-11 19:52:42,636 INFO] Epoch:6, Snapshot: 96; Loss: 0.6933
+[2024-06-11 19:52:44,495 INFO] Epoch:6, Snapshot: 97; Loss: 0.6932
+[2024-06-11 19:52:46,262 INFO] Epoch:6, Snapshot: 98; Loss: 0.6940
+[2024-06-11 19:52:47,981 INFO] Epoch:6, Snapshot: 99; Loss: 0.6930
+[2024-06-11 19:52:50,310 INFO] Epoch:6, Snapshot: 100; Loss: 0.6932
+[2024-06-11 19:52:52,326 INFO] Epoch:6, Snapshot: 101; Loss: 0.6931
+[2024-06-11 19:52:54,154 INFO] Epoch:6, Snapshot: 102; Loss: 0.6933
+[2024-06-11 19:52:55,887 INFO] Epoch:6, Snapshot: 103; Loss: 0.6931
+[2024-06-11 19:52:56,968 INFO] Epoch:6, Snapshot: 104; Loss: 0.6931
+[2024-06-11 19:52:57,905 INFO] Epoch:6, Snapshot: 105; Loss: 0.6928
+[2024-06-11 19:52:58,844 INFO] Epoch:6, Snapshot: 106; Loss: 0.6928
+[2024-06-11 19:52:59,766 INFO] Epoch:6, Snapshot: 107; Loss: 0.6941
+[2024-06-11 19:53:00,704 INFO] Epoch:6, Snapshot: 108; Loss: 0.6935
+[2024-06-11 19:53:01,610 INFO] Epoch:6, Snapshot: 109; Loss: 0.6926
+[2024-06-11 19:53:02,531 INFO] Epoch:6, Snapshot: 110; Loss: 0.6936
+[2024-06-11 19:53:03,516 INFO] Epoch:6, Snapshot: 111; Loss: 0.6925
+[2024-06-11 19:53:04,495 INFO] Epoch:6, Snapshot: 112; Loss: 0.6931
+[2024-06-11 19:53:05,407 INFO] Epoch:6, Snapshot: 113; Loss: 0.6930
+[2024-06-11 19:53:06,314 INFO] Epoch:6, Snapshot: 114; Loss: 0.6930
+[2024-06-11 19:53:07,235 INFO] Epoch:6, Snapshot: 115; Loss: 0.6933
+[2024-06-11 19:53:08,142 INFO] Epoch:6, Snapshot: 116; Loss: 0.6931
+[2024-06-11 19:53:09,081 INFO] Epoch:6, Snapshot: 117; Loss: 0.6933
+[2024-06-11 19:53:10,004 INFO] Epoch:6, Snapshot: 118; Loss: 0.6930
+[2024-06-11 19:53:10,910 INFO] Epoch:6, Snapshot: 119; Loss: 0.6941
+[2024-06-11 19:53:11,832 INFO] Epoch:6, Snapshot: 120; Loss: 0.6926
+[2024-06-11 19:53:12,785 INFO] Epoch:6, Snapshot: 121; Loss: 0.6936
+[2024-06-11 19:53:13,707 INFO] Epoch:6, Snapshot: 122; Loss: 0.6928
+[2024-06-11 19:53:14,614 INFO] Epoch:6, Snapshot: 123; Loss: 0.6929
+[2024-06-11 19:53:15,505 INFO] Epoch:6, Snapshot: 124; Loss: 0.6942
+[2024-06-11 19:53:16,411 INFO] Epoch:6, Snapshot: 125; Loss: 0.6934
+[2024-06-11 19:53:17,378 INFO] Epoch:6, Snapshot: 126; Loss: 0.6933
+[2024-06-11 19:53:18,316 INFO] Epoch:6, Snapshot: 127; Loss: 0.6940
+[2024-06-11 19:53:19,238 INFO] Epoch:6, Snapshot: 128; Loss: 0.6944
+[2024-06-11 19:53:20,146 INFO] Epoch:6, Snapshot: 129; Loss: 0.6937
+[2024-06-11 19:53:21,068 INFO] Epoch:6, Snapshot: 130; Loss: 0.6932
+[2024-06-11 19:53:21,975 INFO] Epoch:6, Snapshot: 131; Loss: 0.6936
+[2024-06-11 19:53:22,881 INFO] Epoch:6, Snapshot: 132; Loss: 0.6932
+[2024-06-11 19:53:23,835 INFO] Epoch:6, Snapshot: 133; Loss: 0.6951
+[2024-06-11 19:53:24,757 INFO] Epoch:6, Snapshot: 134; Loss: 0.6930
+[2024-06-11 19:53:25,695 INFO] Epoch:6, Snapshot: 135; Loss: 0.6932
+[2024-06-11 19:53:26,632 INFO] Epoch:6, Snapshot: 136; Loss: 0.6926
+[2024-06-11 19:53:27,555 INFO] Epoch:6, Snapshot: 137; Loss: 0.6947
+[2024-06-11 19:53:28,523 INFO] Epoch:6, Snapshot: 138; Loss: 0.6965
+[2024-06-11 19:53:29,445 INFO] Epoch:6, Snapshot: 139; Loss: 0.6939
+[2024-06-11 19:53:30,382 INFO] Epoch:6, Snapshot: 140; Loss: 0.6930
+[2024-06-11 19:53:31,304 INFO] Epoch:6, Snapshot: 141; Loss: 0.6932
+[2024-06-11 19:53:32,241 INFO] Epoch:6, Snapshot: 142; Loss: 0.6933
+[2024-06-11 19:53:33,164 INFO] Epoch:6, Snapshot: 143; Loss: 0.6935
+[2024-06-11 19:53:34,102 INFO] Epoch:6, Snapshot: 144; Loss: 0.6933
+[2024-06-11 19:53:35,055 INFO] Epoch:6, Snapshot: 145; Loss: 0.6928
+[2024-06-11 19:53:36,009 INFO] Epoch:6, Snapshot: 146; Loss: 0.6940
+[2024-06-11 19:53:36,931 INFO] Epoch:6, Snapshot: 147; Loss: 0.6932
+[2024-06-11 19:53:37,852 INFO] Epoch:6, Snapshot: 148; Loss: 0.6931
+[2024-06-11 19:53:38,760 INFO] Epoch:6, Snapshot: 149; Loss: 0.6936
+[2024-06-11 19:53:39,666 INFO] Epoch:6, Snapshot: 150; Loss: 0.6935
+[2024-06-11 19:53:40,588 INFO] Epoch:6, Snapshot: 151; Loss: 0.6934
+[2024-06-11 19:53:41,541 INFO] Epoch:6, Snapshot: 152; Loss: 0.6931
+[2024-06-11 19:53:42,479 INFO] Epoch:6, Snapshot: 153; Loss: 0.6931
+[2024-06-11 19:53:43,401 INFO] Epoch:6, Snapshot: 154; Loss: 0.6934
+[2024-06-11 19:53:44,307 INFO] Epoch:6, Snapshot: 155; Loss: 0.6933
+[2024-06-11 19:53:45,261 INFO] Epoch:6, Snapshot: 156; Loss: 0.6929
+[2024-06-11 19:53:46,198 INFO] Epoch:6, Snapshot: 157; Loss: 0.6931
+[2024-06-11 19:53:47,136 INFO] Epoch:6, Snapshot: 158; Loss: 0.6930
+[2024-06-11 19:53:48,042 INFO] Epoch:6, Snapshot: 159; Loss: 0.6926
+[2024-06-11 19:53:48,964 INFO] Epoch:6, Snapshot: 160; Loss: 0.6930
+[2024-06-11 19:53:49,872 INFO] Epoch:6, Snapshot: 161; Loss: 0.6939
+[2024-06-11 19:53:50,778 INFO] Epoch:6, Snapshot: 162; Loss: 0.6929
+[2024-06-11 19:53:51,700 INFO] Epoch:6, Snapshot: 163; Loss: 0.6951
+[2024-06-11 19:53:52,637 INFO] Epoch:6, Snapshot: 164; Loss: 0.6930
+[2024-06-11 19:53:53,575 INFO] Epoch:6, Snapshot: 165; Loss: 0.6931
+[2024-06-11 19:53:54,497 INFO] Epoch:6, Snapshot: 166; Loss: 0.6933
+[2024-06-11 19:53:55,419 INFO] Epoch:6, Snapshot: 167; Loss: 0.6937
+[2024-06-11 19:53:56,325 INFO] Epoch:6, Snapshot: 168; Loss: 0.6939
+[2024-06-11 19:53:57,310 INFO] Epoch:6, Snapshot: 169; Loss: 0.6934
+[2024-06-11 19:53:58,294 INFO] Epoch:6, Snapshot: 170; Loss: 0.6934
+[2024-06-11 19:53:59,232 INFO] Epoch:6, Snapshot: 171; Loss: 0.6943
+[2024-06-11 19:54:00,169 INFO] Epoch:6, Snapshot: 172; Loss: 0.6940
+[2024-06-11 19:54:01,091 INFO] Epoch:6, Snapshot: 173; Loss: 0.6932
+[2024-06-11 19:54:02,013 INFO] Epoch:6, Snapshot: 174; Loss: 0.6931
+[2024-06-11 19:54:02,935 INFO] Epoch:6, Snapshot: 175; Loss: 0.6934
+[2024-06-11 19:54:03,873 INFO] Epoch:6, Snapshot: 176; Loss: 0.6922
+[2024-06-11 19:54:04,762 INFO] Epoch:6, Snapshot: 177; Loss: 0.6931
+[2024-06-11 19:54:05,669 INFO] Epoch:6, Snapshot: 178; Loss: 0.6957
+[2024-06-11 19:54:06,590 INFO] Epoch:6, Snapshot: 179; Loss: 0.6926
+[2024-06-11 19:54:07,512 INFO] Epoch:6, Snapshot: 180; Loss: 0.6933
+[2024-06-11 19:54:08,450 INFO] Epoch:6, Snapshot: 181; Loss: 0.6931
+[2024-06-11 19:54:09,388 INFO] Epoch:6, Snapshot: 182; Loss: 0.6930
+[2024-06-11 19:54:10,295 INFO] Epoch:6, Snapshot: 183; Loss: 0.6926
+[2024-06-11 19:54:11,202 INFO] Epoch:6, Snapshot: 184; Loss: 0.6933
+[2024-06-11 19:54:12,108 INFO] Epoch:6, Snapshot: 185; Loss: 0.6945
+[2024-06-11 19:54:13,014 INFO] Epoch:6, Snapshot: 186; Loss: 0.6947
+[2024-06-11 19:54:13,905 INFO] Epoch:6, Snapshot: 187; Loss: 0.6940
+[2024-06-11 19:54:14,811 INFO] Epoch:6, Snapshot: 188; Loss: 0.6931
+[2024-06-11 19:54:15,733 INFO] Epoch:6, Snapshot: 189; Loss: 0.6935
+[2024-06-11 19:54:16,671 INFO] Epoch:6, Snapshot: 190; Loss: 0.6937
+[2024-06-11 19:54:17,593 INFO] Epoch:6, Snapshot: 191; Loss: 0.6928
+[2024-06-11 19:54:18,499 INFO] Epoch:6, Snapshot: 192; Loss: 0.6964
+[2024-06-11 19:54:19,406 INFO] Epoch:6, Snapshot: 193; Loss: 0.6937
+[2024-06-11 19:54:20,328 INFO] Epoch:6, Snapshot: 194; Loss: 0.6931
+[2024-06-11 19:54:21,234 INFO] Epoch:6, Snapshot: 195; Loss: 0.6929
+[2024-06-11 19:54:22,125 INFO] Epoch:6, Snapshot: 196; Loss: 0.6930
+[2024-06-11 19:54:23,032 INFO] Epoch:6, Snapshot: 197; Loss: 0.6946
+[2024-06-11 19:54:23,953 INFO] Epoch:6, Snapshot: 198; Loss: 0.6939
+[2024-06-11 19:54:24,891 INFO] Epoch:6, Snapshot: 199; Loss: 0.6947
+[2024-06-11 19:54:25,802 INFO] Epoch:6, Snapshot: 200; Loss: 0.6928
+[2024-06-11 19:54:26,688 INFO] Epoch:6, Snapshot: 201; Loss: 0.6931
+[2024-06-11 19:54:27,610 INFO] Epoch:6, Snapshot: 202; Loss: 0.6926
+[2024-06-11 19:54:28,517 INFO] Epoch:6, Snapshot: 203; Loss: 0.6956
+[2024-06-11 19:54:29,470 INFO] Epoch:6, Snapshot: 204; Loss: 0.6927
+[2024-06-11 19:54:30,423 INFO] Epoch:6, Snapshot: 205; Loss: 0.6955
+[2024-06-11 19:54:31,345 INFO] Epoch:6, Snapshot: 206; Loss: 0.6929
+[2024-06-11 19:54:32,298 INFO] Epoch:6, Snapshot: 207; Loss: 0.6931
+[2024-06-11 19:54:33,220 INFO] Epoch:6, Snapshot: 208; Loss: 0.6931
+[2024-06-11 19:54:34,174 INFO] Epoch:6, Snapshot: 209; Loss: 0.6926
+[2024-06-11 19:54:35,081 INFO] Epoch:6, Snapshot: 210; Loss: 0.6936
+[2024-06-11 19:54:35,988 INFO] Epoch:6, Snapshot: 211; Loss: 0.6943
+[2024-06-11 19:54:36,879 INFO] Epoch:6, Snapshot: 212; Loss: 0.6947
+[2024-06-11 19:54:37,817 INFO] Epoch:6, Snapshot: 213; Loss: 0.6924
+[2024-06-11 19:54:38,769 INFO] Epoch:6, Snapshot: 214; Loss: 0.6933
+[2024-06-11 19:54:39,692 INFO] Epoch:6, Snapshot: 215; Loss: 0.6936
+[2024-06-11 19:54:40,614 INFO] Epoch:6, Snapshot: 216; Loss: 0.6933
+[2024-06-11 19:54:41,505 INFO] Epoch:6, Snapshot: 217; Loss: 0.6932
+[2024-06-11 19:54:42,411 INFO] Epoch:6, Snapshot: 218; Loss: 0.6930
+[2024-06-11 19:54:43,333 INFO] Epoch:6, Snapshot: 219; Loss: 0.6941
+[2024-06-11 19:54:44,271 INFO] Epoch:6, Snapshot: 220; Loss: 0.6934
+[2024-06-11 19:54:45,193 INFO] Epoch:6, Snapshot: 221; Loss: 0.6931
+[2024-06-11 19:54:46,084 INFO] Epoch:6, Snapshot: 222; Loss: 0.6935
+[2024-06-11 19:54:46,991 INFO] Epoch:6, Snapshot: 223; Loss: 0.6940
+[2024-06-11 19:54:47,928 INFO] Epoch:6, Snapshot: 224; Loss: 0.6945
+[2024-06-11 19:54:48,851 INFO] Epoch:6, Snapshot: 225; Loss: 0.6927
+[2024-06-11 19:54:49,742 INFO] Epoch:6, Snapshot: 226; Loss: 0.6959
+[2024-06-11 19:54:50,664 INFO] Epoch:6, Snapshot: 227; Loss: 0.6976
+[2024-06-11 19:54:51,586 INFO] Epoch:6, Snapshot: 228; Loss: 0.6923
+[2024-06-11 19:54:52,509 INFO] Epoch:6, Snapshot: 229; Loss: 0.6926
+[2024-06-11 19:54:53,446 INFO] Epoch:6, Snapshot: 230; Loss: 0.6929
+[2024-06-11 19:54:54,369 INFO] Epoch:6, Snapshot: 231; Loss: 0.6932
+[2024-06-11 19:54:55,275 INFO] Epoch:6, Snapshot: 232; Loss: 0.6932
+[2024-06-11 19:54:56,197 INFO] Epoch:6, Snapshot: 233; Loss: 0.6937
+[2024-06-11 19:54:57,088 INFO] Epoch:6, Snapshot: 234; Loss: 0.6931
+[2024-06-11 19:54:58,009 INFO] Epoch:6, Snapshot: 235; Loss: 0.6931
+[2024-06-11 19:54:58,916 INFO] Epoch:6, Snapshot: 236; Loss: 0.6932
+[2024-06-11 19:54:59,853 INFO] Epoch:6, Snapshot: 237; Loss: 0.6932
+[2024-06-11 19:55:00,744 INFO] Epoch:6, Snapshot: 238; Loss: 0.6927
+[2024-06-11 19:55:01,650 INFO] Epoch:6, Snapshot: 239; Loss: 0.6926
+[2024-06-11 19:55:02,588 INFO] Epoch:6, Snapshot: 240; Loss: 0.6962
+[2024-06-11 19:55:03,510 INFO] Epoch:6, Snapshot: 241; Loss: 0.6936
+[2024-06-11 19:55:04,447 INFO] Epoch:6, Snapshot: 242; Loss: 0.6937
+[2024-06-11 19:55:05,354 INFO] Epoch:6, Snapshot: 243; Loss: 0.6934
+[2024-06-11 19:55:06,292 INFO] Epoch:6, Snapshot: 244; Loss: 0.6931
+[2024-06-11 19:55:07,245 INFO] Epoch:6, Snapshot: 245; Loss: 0.6935
+[2024-06-11 19:55:08,183 INFO] Epoch:6, Snapshot: 246; Loss: 0.6955
+[2024-06-11 19:55:09,136 INFO] Epoch:6, Snapshot: 247; Loss: 0.6924
+[2024-06-11 19:55:10,058 INFO] Epoch:6, Snapshot: 248; Loss: 0.6922
+[2024-06-11 19:55:10,965 INFO] Epoch:6, Snapshot: 249; Loss: 0.6948
+[2024-06-11 19:55:11,871 INFO] Epoch:6, Snapshot: 250; Loss: 0.6930
+[2024-06-11 19:55:12,777 INFO] Epoch:6, Snapshot: 251; Loss: 0.6932
+[2024-06-11 19:55:13,621 INFO] Epoch:6, Snapshot: 252; Loss: 0.6933
+[2024-06-11 19:55:14,482 INFO] Epoch:6, Snapshot: 253; Loss: 0.6937
+[2024-06-11 19:55:15,326 INFO] Epoch:6, Snapshot: 254; Loss: 0.6931
+[2024-06-11 19:55:16,201 INFO] Epoch:6, Snapshot: 255; Loss: 0.6934
+[2024-06-11 19:55:17,186 INFO] Epoch:6, Snapshot: 256; Loss: 0.6939
+[2024-06-11 19:55:18,124 INFO] Epoch:6, Snapshot: 257; Loss: 0.6930
+[2024-06-11 19:55:19,062 INFO] Epoch:6, Snapshot: 258; Loss: 0.6930
+[2024-06-11 19:55:19,921 INFO] Epoch:6, Snapshot: 259; Loss: 0.6933
+[2024-06-11 19:55:20,766 INFO] Epoch:6, Snapshot: 260; Loss: 0.6933
+[2024-06-11 19:55:21,595 INFO] Epoch:6, Snapshot: 261; Loss: 0.6930
+[2024-06-11 19:55:22,408 INFO] Epoch:6, Snapshot: 262; Loss: 0.6927
+[2024-06-11 19:55:23,269 INFO] Epoch:6, Snapshot: 263; Loss: 0.6943
+[2024-06-11 19:55:24,097 INFO] Epoch:6, Snapshot: 264; Loss: 0.6945
+[2024-06-11 19:55:24,925 INFO] Epoch:6, Snapshot: 265; Loss: 0.6933
+[2024-06-11 19:55:25,817 INFO] Epoch:6, Snapshot: 266; Loss: 0.6935
+[2024-06-11 19:55:26,676 INFO] Epoch:6, Snapshot: 267; Loss: 0.6932
+[2024-06-11 19:55:27,505 INFO] Epoch:6, Snapshot: 268; Loss: 0.6933
+[2024-06-11 19:55:28,364 INFO] Epoch:6, Snapshot: 269; Loss: 0.6932
+[2024-06-11 19:55:29,193 INFO] Epoch:6, Snapshot: 270; Loss: 0.6938
+[2024-06-11 19:55:30,038 INFO] Epoch:6, Snapshot: 271; Loss: 0.6933
+[2024-06-11 19:55:30,866 INFO] Epoch:6, Snapshot: 272; Loss: 0.6940
+[2024-06-11 19:55:31,741 INFO] Epoch:6, Snapshot: 273; Loss: 0.6942
+[2024-06-11 19:55:32,605 INFO] Epoch:6, Snapshot: 274; Loss: 0.6937
+[2024-06-11 19:55:33,432 INFO] Epoch:6, Snapshot: 275; Loss: 0.6940
+[2024-06-11 19:55:34,274 INFO] Epoch:6, Snapshot: 276; Loss: 0.6938
+[2024-06-11 19:55:35,120 INFO] Epoch:6, Snapshot: 277; Loss: 0.6928
+[2024-06-11 19:55:35,977 INFO] Epoch:6, Snapshot: 278; Loss: 0.6962
+[2024-06-11 19:55:36,821 INFO] Epoch:6, Snapshot: 279; Loss: 0.6972
+[2024-06-11 19:55:37,649 INFO] Epoch:6, Snapshot: 280; Loss: 0.6963
+[2024-06-11 19:55:38,477 INFO] Epoch:6, Snapshot: 281; Loss: 0.6958
+[2024-06-11 19:55:39,368 INFO] Epoch:6, Snapshot: 282; Loss: 0.6949
+[2024-06-11 19:55:40,259 INFO] Epoch:6, Snapshot: 283; Loss: 0.6952
+[2024-06-11 19:55:41,103 INFO] Epoch:6, Snapshot: 284; Loss: 0.6952
+[2024-06-11 19:55:41,946 INFO] Epoch:6, Snapshot: 285; Loss: 0.6959
+[2024-06-11 19:55:42,790 INFO] Epoch:6, Snapshot: 286; Loss: 0.6944
+[2024-06-11 19:55:43,618 INFO] Epoch:6, Snapshot: 287; Loss: 0.6944
+[2024-06-11 19:55:44,446 INFO] Epoch:6, Snapshot: 288; Loss: 0.6939
+[2024-06-11 19:55:45,306 INFO] Epoch:6, Snapshot: 289; Loss: 0.6940
+[2024-06-11 19:55:46,164 INFO] Epoch:6, Snapshot: 290; Loss: 0.6936
+[2024-06-11 19:55:47,041 INFO] Epoch:6, Snapshot: 291; Loss: 0.6938
+[2024-06-11 19:55:47,869 INFO] Epoch:6, Snapshot: 292; Loss: 0.6940
+[2024-06-11 19:55:48,729 INFO] Epoch:6, Snapshot: 293; Loss: 0.6936
+[2024-06-11 19:55:49,573 INFO] Epoch:6, Snapshot: 294; Loss: 0.6937
+[2024-06-11 19:55:50,417 INFO] Epoch:6, Snapshot: 295; Loss: 0.6933
+[2024-06-11 19:55:51,261 INFO] Epoch:6, Snapshot: 296; Loss: 0.6935
+[2024-06-11 19:55:52,105 INFO] Epoch:6, Snapshot: 297; Loss: 0.6939
+[2024-06-11 19:55:52,964 INFO] Epoch:6, Snapshot: 298; Loss: 0.6935
+[2024-06-11 19:55:53,823 INFO] Epoch:6, Snapshot: 299; Loss: 0.6938
+[2024-06-11 19:55:54,667 INFO] Epoch:6, Snapshot: 300; Loss: 0.6940
+[2024-06-11 19:55:55,495 INFO] Epoch:6, Snapshot: 301; Loss: 0.6921
+[2024-06-11 19:55:56,355 INFO] Epoch:6, Snapshot: 302; Loss: 0.6921
+[2024-06-11 19:55:57,229 INFO] Epoch:6, Snapshot: 303; Loss: 0.6926
+[2024-06-11 19:55:58,058 INFO] Epoch:6, Snapshot: 304; Loss: 0.6965
+[2024-06-11 19:55:58,888 INFO] Epoch:6, Snapshot: 305; Loss: 0.6933
+[2024-06-11 19:55:59,746 INFO] Epoch:6, Snapshot: 306; Loss: 0.6934
+[2024-06-11 19:56:00,606 INFO] Epoch:6, Snapshot: 307; Loss: 0.6930
+[2024-06-11 19:56:01,433 INFO] Epoch:6, Snapshot: 308; Loss: 0.6933
+[2024-06-11 19:56:02,261 INFO] Epoch:6, Snapshot: 309; Loss: 0.6956
+[2024-06-11 19:56:03,107 INFO] Epoch:6, Snapshot: 310; Loss: 0.6934
+[2024-06-11 19:56:03,949 INFO] Epoch:6, Snapshot: 311; Loss: 0.6933
+[2024-06-11 19:56:04,809 INFO] Epoch:6, Snapshot: 312; Loss: 0.6931
+[2024-06-11 19:56:05,637 INFO] Epoch:6, Snapshot: 313; Loss: 0.6931
+[2024-06-11 19:56:06,467 INFO] Epoch:6, Snapshot: 314; Loss: 0.6936
+[2024-06-11 19:56:07,336 INFO] Epoch:6, Snapshot: 315; Loss: 0.6930
+[2024-06-11 19:56:08,186 INFO] Epoch:6, Snapshot: 316; Loss: 0.6935
+[2024-06-11 19:56:09,014 INFO] Epoch:6, Snapshot: 317; Loss: 0.6934
+[2024-06-11 20:00:26,460 INFO] ==========================================================================================
+[2024-06-11 20:00:26,460 INFO] Epoch:6, Loss: 0.6939, Time: 602.327, GPU: 566.0MiB
+[2024-06-11 20:00:26,460 INFO] Epoch:6, Accuracy: 0.5005; F1: 0.6670; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, Memory: 565.9653, time: 713.6789
+[2024-06-11 20:00:27,398 INFO] Epoch:7, Snapshot: 0; Loss: 0.7093
+[2024-06-11 20:00:28,414 INFO] Epoch:7, Snapshot: 1; Loss: 0.6932
+[2024-06-11 20:00:29,431 INFO] Epoch:7, Snapshot: 2; Loss: 0.6936
+[2024-06-11 20:00:30,525 INFO] Epoch:7, Snapshot: 3; Loss: 0.6936
+[2024-06-11 20:00:31,571 INFO] Epoch:7, Snapshot: 4; Loss: 0.6931
+[2024-06-11 20:00:32,619 INFO] Epoch:7, Snapshot: 5; Loss: 0.6929
+[2024-06-11 20:00:33,713 INFO] Epoch:7, Snapshot: 6; Loss: 0.6943
+[2024-06-11 20:00:34,776 INFO] Epoch:7, Snapshot: 7; Loss: 0.6932
+[2024-06-11 20:00:35,839 INFO] Epoch:7, Snapshot: 8; Loss: 0.6926
+[2024-06-11 20:00:36,933 INFO] Epoch:7, Snapshot: 9; Loss: 0.6933
+[2024-06-11 20:00:37,964 INFO] Epoch:7, Snapshot: 10; Loss: 0.6933
+[2024-06-11 20:00:38,949 INFO] Epoch:7, Snapshot: 11; Loss: 0.6931
+[2024-06-11 20:00:40,027 INFO] Epoch:7, Snapshot: 12; Loss: 0.6931
+[2024-06-11 20:00:41,092 INFO] Epoch:7, Snapshot: 13; Loss: 0.6932
+[2024-06-11 20:00:42,186 INFO] Epoch:7, Snapshot: 14; Loss: 0.6935
+[2024-06-11 20:00:43,264 INFO] Epoch:7, Snapshot: 15; Loss: 0.6932
+[2024-06-11 20:00:44,327 INFO] Epoch:7, Snapshot: 16; Loss: 0.6926
+[2024-06-11 20:00:45,374 INFO] Epoch:7, Snapshot: 17; Loss: 0.6916
+[2024-06-11 20:00:46,405 INFO] Epoch:7, Snapshot: 18; Loss: 0.6961
+[2024-06-11 20:00:47,375 INFO] Epoch:7, Snapshot: 19; Loss: 0.6981
+[2024-06-11 20:00:48,297 INFO] Epoch:7, Snapshot: 20; Loss: 0.6946
+[2024-06-11 20:00:49,203 INFO] Epoch:7, Snapshot: 21; Loss: 0.6930
+[2024-06-11 20:00:50,094 INFO] Epoch:7, Snapshot: 22; Loss: 0.6928
+[2024-06-11 20:00:51,000 INFO] Epoch:7, Snapshot: 23; Loss: 0.6934
+[2024-06-11 20:00:51,906 INFO] Epoch:7, Snapshot: 24; Loss: 0.6935
+[2024-06-11 20:00:52,813 INFO] Epoch:7, Snapshot: 25; Loss: 0.6945
+[2024-06-11 20:00:53,735 INFO] Epoch:7, Snapshot: 26; Loss: 0.6937
+[2024-06-11 20:00:54,641 INFO] Epoch:7, Snapshot: 27; Loss: 0.6937
+[2024-06-11 20:00:55,547 INFO] Epoch:7, Snapshot: 28; Loss: 0.6951
+[2024-06-11 20:00:56,486 INFO] Epoch:7, Snapshot: 29; Loss: 0.6928
+[2024-06-11 20:00:57,392 INFO] Epoch:7, Snapshot: 30; Loss: 0.6928
+[2024-06-11 20:00:58,330 INFO] Epoch:7, Snapshot: 31; Loss: 0.6960
+[2024-06-11 20:00:59,283 INFO] Epoch:7, Snapshot: 32; Loss: 0.7036
+[2024-06-11 20:01:00,284 INFO] Epoch:7, Snapshot: 33; Loss: 0.6955
+[2024-06-11 20:01:01,238 INFO] Epoch:7, Snapshot: 34; Loss: 0.6968
+[2024-06-11 20:01:02,190 INFO] Epoch:7, Snapshot: 35; Loss: 0.6934
+[2024-06-11 20:01:03,143 INFO] Epoch:7, Snapshot: 36; Loss: 0.6963
+[2024-06-11 20:01:04,113 INFO] Epoch:7, Snapshot: 37; Loss: 0.6957
+[2024-06-11 20:01:05,097 INFO] Epoch:7, Snapshot: 38; Loss: 0.6965
+[2024-06-11 20:01:06,066 INFO] Epoch:7, Snapshot: 39; Loss: 0.6934
+[2024-06-11 20:01:07,019 INFO] Epoch:7, Snapshot: 40; Loss: 0.6946
+[2024-06-11 20:01:08,035 INFO] Epoch:7, Snapshot: 41; Loss: 0.6928
+[2024-06-11 20:01:09,004 INFO] Epoch:7, Snapshot: 42; Loss: 0.6945
+[2024-06-11 20:01:09,973 INFO] Epoch:7, Snapshot: 43; Loss: 0.6971
+[2024-06-11 20:01:10,940 INFO] Epoch:7, Snapshot: 44; Loss: 0.6920
+[2024-06-11 20:01:11,909 INFO] Epoch:7, Snapshot: 45; Loss: 0.6986
+[2024-06-11 20:01:12,851 INFO] Epoch:7, Snapshot: 46; Loss: 0.6963
+[2024-06-11 20:01:13,769 INFO] Epoch:7, Snapshot: 47; Loss: 0.6931
+[2024-06-11 20:01:14,691 INFO] Epoch:7, Snapshot: 48; Loss: 0.6935
+[2024-06-11 20:01:15,660 INFO] Epoch:7, Snapshot: 49; Loss: 0.6980
+[2024-06-11 20:01:16,645 INFO] Epoch:7, Snapshot: 50; Loss: 0.6970
+[2024-06-11 20:01:17,599 INFO] Epoch:7, Snapshot: 51; Loss: 0.6980
+[2024-06-11 20:01:18,552 INFO] Epoch:7, Snapshot: 52; Loss: 0.6961
+[2024-06-11 20:01:19,537 INFO] Epoch:7, Snapshot: 53; Loss: 0.6927
+[2024-06-11 20:01:20,507 INFO] Epoch:7, Snapshot: 54; Loss: 0.6948
+[2024-06-11 20:01:21,460 INFO] Epoch:7, Snapshot: 55; Loss: 0.7006
+[2024-06-11 20:01:22,413 INFO] Epoch:7, Snapshot: 56; Loss: 0.7008
+[2024-06-11 20:01:23,351 INFO] Epoch:7, Snapshot: 57; Loss: 0.6962
+[2024-06-11 20:01:24,351 INFO] Epoch:7, Snapshot: 58; Loss: 0.6941
+[2024-06-11 20:01:25,335 INFO] Epoch:7, Snapshot: 59; Loss: 0.6932
+[2024-06-11 20:01:26,319 INFO] Epoch:7, Snapshot: 60; Loss: 0.6959
+[2024-06-11 20:01:27,288 INFO] Epoch:7, Snapshot: 61; Loss: 0.6933
+[2024-06-11 20:01:28,257 INFO] Epoch:7, Snapshot: 62; Loss: 0.6929
+[2024-06-11 20:01:29,195 INFO] Epoch:7, Snapshot: 63; Loss: 0.6951
+[2024-06-11 20:01:30,149 INFO] Epoch:7, Snapshot: 64; Loss: 0.6960
+[2024-06-11 20:01:31,086 INFO] Epoch:7, Snapshot: 65; Loss: 0.6935
+[2024-06-11 20:01:32,009 INFO] Epoch:7, Snapshot: 66; Loss: 0.6936
+[2024-06-11 20:01:32,931 INFO] Epoch:7, Snapshot: 67; Loss: 0.6933
+[2024-06-11 20:01:33,853 INFO] Epoch:7, Snapshot: 68; Loss: 0.6941
+[2024-06-11 20:01:34,758 INFO] Epoch:7, Snapshot: 69; Loss: 0.6946
+[2024-06-11 20:01:35,696 INFO] Epoch:7, Snapshot: 70; Loss: 0.6931
+[2024-06-11 20:01:36,634 INFO] Epoch:7, Snapshot: 71; Loss: 0.6950
+[2024-06-11 20:01:37,571 INFO] Epoch:7, Snapshot: 72; Loss: 0.6929
+[2024-06-11 20:01:38,509 INFO] Epoch:7, Snapshot: 73; Loss: 0.6935
+[2024-06-11 20:01:39,417 INFO] Epoch:7, Snapshot: 74; Loss: 0.6941
+[2024-06-11 20:01:40,354 INFO] Epoch:7, Snapshot: 75; Loss: 0.6934
+[2024-06-11 20:01:41,325 INFO] Epoch:7, Snapshot: 76; Loss: 0.6932
+[2024-06-11 20:01:42,307 INFO] Epoch:7, Snapshot: 77; Loss: 0.6933
+[2024-06-11 20:01:43,245 INFO] Epoch:7, Snapshot: 78; Loss: 0.6932
+[2024-06-11 20:01:44,167 INFO] Epoch:7, Snapshot: 79; Loss: 0.6931
+[2024-06-11 20:01:45,090 INFO] Epoch:7, Snapshot: 80; Loss: 0.6930
+[2024-06-11 20:01:46,028 INFO] Epoch:7, Snapshot: 81; Loss: 0.6927
+[2024-06-11 20:01:46,966 INFO] Epoch:7, Snapshot: 82; Loss: 0.6927
+[2024-06-11 20:01:47,904 INFO] Epoch:7, Snapshot: 83; Loss: 0.6925
+[2024-06-11 20:01:48,831 INFO] Epoch:7, Snapshot: 84; Loss: 0.6960
+[2024-06-11 20:01:49,733 INFO] Epoch:7, Snapshot: 85; Loss: 0.6940
+[2024-06-11 20:01:50,623 INFO] Epoch:7, Snapshot: 86; Loss: 0.6926
+[2024-06-11 20:01:51,550 INFO] Epoch:7, Snapshot: 87; Loss: 0.6934
+[2024-06-11 20:01:52,482 INFO] Epoch:7, Snapshot: 88; Loss: 0.6933
+[2024-06-11 20:01:53,420 INFO] Epoch:7, Snapshot: 89; Loss: 0.6939
+[2024-06-11 20:01:54,327 INFO] Epoch:7, Snapshot: 90; Loss: 0.6948
+[2024-06-11 20:01:55,217 INFO] Epoch:7, Snapshot: 91; Loss: 0.6933
+[2024-06-11 20:01:56,139 INFO] Epoch:7, Snapshot: 92; Loss: 0.6938
+[2024-06-11 20:01:57,093 INFO] Epoch:7, Snapshot: 93; Loss: 0.6934
+[2024-06-11 20:01:58,047 INFO] Epoch:7, Snapshot: 94; Loss: 0.6928
+[2024-06-11 20:01:58,969 INFO] Epoch:7, Snapshot: 95; Loss: 0.6927
+[2024-06-11 20:01:59,891 INFO] Epoch:7, Snapshot: 96; Loss: 0.6933
+[2024-06-11 20:02:00,797 INFO] Epoch:7, Snapshot: 97; Loss: 0.6932
+[2024-06-11 20:02:01,703 INFO] Epoch:7, Snapshot: 98; Loss: 0.6940
+[2024-06-11 20:02:02,626 INFO] Epoch:7, Snapshot: 99; Loss: 0.6930
+[2024-06-11 20:02:03,564 INFO] Epoch:7, Snapshot: 100; Loss: 0.6932
+[2024-06-11 20:02:04,470 INFO] Epoch:7, Snapshot: 101; Loss: 0.6931
+[2024-06-11 20:02:05,377 INFO] Epoch:7, Snapshot: 102; Loss: 0.6933
+[2024-06-11 20:02:06,330 INFO] Epoch:7, Snapshot: 103; Loss: 0.6931
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+[2024-06-11 20:02:08,175 INFO] Epoch:7, Snapshot: 105; Loss: 0.6928
+[2024-06-11 20:02:09,097 INFO] Epoch:7, Snapshot: 106; Loss: 0.6928
+[2024-06-11 20:02:10,050 INFO] Epoch:7, Snapshot: 107; Loss: 0.6941
+[2024-06-11 20:02:10,941 INFO] Epoch:7, Snapshot: 108; Loss: 0.6935
+[2024-06-11 20:02:11,880 INFO] Epoch:7, Snapshot: 109; Loss: 0.6926
+[2024-06-11 20:02:12,817 INFO] Epoch:7, Snapshot: 110; Loss: 0.6936
+[2024-06-11 20:02:13,785 INFO] Epoch:7, Snapshot: 111; Loss: 0.6925
+[2024-06-11 20:02:14,739 INFO] Epoch:7, Snapshot: 112; Loss: 0.6931
+[2024-06-11 20:02:15,661 INFO] Epoch:7, Snapshot: 113; Loss: 0.6930
+[2024-06-11 20:02:16,568 INFO] Epoch:7, Snapshot: 114; Loss: 0.6930
+[2024-06-11 20:02:17,464 INFO] Epoch:7, Snapshot: 115; Loss: 0.6933
+[2024-06-11 20:02:18,381 INFO] Epoch:7, Snapshot: 116; Loss: 0.6931
+[2024-06-11 20:02:19,303 INFO] Epoch:7, Snapshot: 117; Loss: 0.6933
+[2024-06-11 20:02:20,195 INFO] Epoch:7, Snapshot: 118; Loss: 0.6930
+[2024-06-11 20:02:21,116 INFO] Epoch:7, Snapshot: 119; Loss: 0.6941
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+[2024-06-11 20:02:22,962 INFO] Epoch:7, Snapshot: 121; Loss: 0.6936
+[2024-06-11 20:02:23,899 INFO] Epoch:7, Snapshot: 122; Loss: 0.6928
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+[2024-06-11 20:02:25,760 INFO] Epoch:7, Snapshot: 124; Loss: 0.6942
+[2024-06-11 20:02:26,667 INFO] Epoch:7, Snapshot: 125; Loss: 0.6934
+[2024-06-11 20:17:25,494 INFO] fixed random seed
+[2024-06-11 20:17:26,386 INFO] Epoch:1, Snapshot: 0; Loss: 0.8446
+[2024-06-11 20:17:27,496 INFO] Epoch:1, Snapshot: 1; Loss: 0.8421
+[2024-06-11 20:17:28,512 INFO] Epoch:1, Snapshot: 2; Loss: 0.7971
+[2024-06-11 20:17:29,574 INFO] Epoch:1, Snapshot: 3; Loss: 0.7882
+[2024-06-11 20:17:30,590 INFO] Epoch:1, Snapshot: 4; Loss: 0.7965
+[2024-06-11 20:17:31,638 INFO] Epoch:1, Snapshot: 5; Loss: 0.8115
+[2024-06-11 20:17:32,700 INFO] Epoch:1, Snapshot: 6; Loss: 0.8193
+[2024-06-11 20:17:33,747 INFO] Epoch:1, Snapshot: 7; Loss: 0.8015
+[2024-06-11 20:17:34,794 INFO] Epoch:1, Snapshot: 8; Loss: 0.8001
+[2024-06-11 20:17:35,842 INFO] Epoch:1, Snapshot: 9; Loss: 0.9056
+[2024-06-11 20:17:36,936 INFO] Epoch:1, Snapshot: 10; Loss: 0.9420
+[2024-06-11 20:17:37,966 INFO] Epoch:1, Snapshot: 11; Loss: 0.8430
+[2024-06-11 20:17:38,998 INFO] Epoch:1, Snapshot: 12; Loss: 0.7971
+[2024-06-11 20:17:40,029 INFO] Epoch:1, Snapshot: 13; Loss: 0.7995
+[2024-06-11 20:17:41,061 INFO] Epoch:1, Snapshot: 14; Loss: 0.8864
+[2024-06-11 20:17:42,155 INFO] Epoch:1, Snapshot: 15; Loss: 0.8719
+[2024-06-11 20:17:43,217 INFO] Epoch:1, Snapshot: 16; Loss: 0.7702
+[2024-06-11 20:17:44,264 INFO] Epoch:1, Snapshot: 17; Loss: 0.7933
+[2024-06-11 20:17:45,326 INFO] Epoch:1, Snapshot: 18; Loss: 0.8113
+[2024-06-11 20:17:46,264 INFO] Epoch:1, Snapshot: 19; Loss: 0.8266
+[2024-06-11 20:17:47,202 INFO] Epoch:1, Snapshot: 20; Loss: 0.8001
+[2024-06-11 20:17:48,109 INFO] Epoch:1, Snapshot: 21; Loss: 0.8062
+[2024-06-11 20:17:49,046 INFO] Epoch:1, Snapshot: 22; Loss: 0.8248
+[2024-06-11 20:17:49,968 INFO] Epoch:1, Snapshot: 23; Loss: 0.8412
+[2024-06-11 20:17:50,828 INFO] Epoch:1, Snapshot: 24; Loss: 0.8938
+[2024-06-11 20:17:51,735 INFO] Epoch:1, Snapshot: 25; Loss: 0.9034
+[2024-06-11 20:17:52,610 INFO] Epoch:1, Snapshot: 26; Loss: 0.8340
+[2024-06-11 20:17:53,516 INFO] Epoch:1, Snapshot: 27; Loss: 0.8203
+[2024-06-11 20:17:54,423 INFO] Epoch:1, Snapshot: 28; Loss: 0.7789
+[2024-06-11 20:17:55,376 INFO] Epoch:1, Snapshot: 29; Loss: 0.7885
+[2024-06-11 20:17:56,282 INFO] Epoch:1, Snapshot: 30; Loss: 0.7778
+[2024-06-11 20:17:57,204 INFO] Epoch:1, Snapshot: 31; Loss: 0.7862
+[2024-06-11 20:17:58,142 INFO] Epoch:1, Snapshot: 32; Loss: 0.8214
+[2024-06-11 20:17:59,093 INFO] Epoch:1, Snapshot: 33; Loss: 0.7936
+[2024-06-11 20:18:00,062 INFO] Epoch:1, Snapshot: 34; Loss: 0.8298
+[2024-06-11 20:18:01,025 INFO] Epoch:1, Snapshot: 35; Loss: 0.7922
+[2024-06-11 20:18:01,953 INFO] Epoch:1, Snapshot: 36; Loss: 0.7744
+[2024-06-11 20:18:02,906 INFO] Epoch:1, Snapshot: 37; Loss: 0.7885
+[2024-06-11 20:18:03,860 INFO] Epoch:1, Snapshot: 38; Loss: 0.7834
+[2024-06-11 20:18:04,798 INFO] Epoch:1, Snapshot: 39; Loss: 0.7969
+[2024-06-11 20:18:05,767 INFO] Epoch:1, Snapshot: 40; Loss: 0.7710
+[2024-06-11 20:18:06,720 INFO] Epoch:1, Snapshot: 41; Loss: 0.7653
+[2024-06-11 20:18:07,658 INFO] Epoch:1, Snapshot: 42; Loss: 0.8040
+[2024-06-11 20:18:08,580 INFO] Epoch:1, Snapshot: 43; Loss: 0.9181
+[2024-06-11 20:18:09,549 INFO] Epoch:1, Snapshot: 44; Loss: 0.8642
+[2024-06-11 20:18:10,487 INFO] Epoch:1, Snapshot: 45; Loss: 0.9164
+[2024-06-11 20:18:11,409 INFO] Epoch:1, Snapshot: 46; Loss: 1.0940
+[2024-06-11 20:18:12,394 INFO] Epoch:1, Snapshot: 47; Loss: 0.8344
+[2024-06-11 20:18:13,300 INFO] Epoch:1, Snapshot: 48; Loss: 0.7977
+[2024-06-11 20:18:14,237 INFO] Epoch:1, Snapshot: 49; Loss: 0.7780
+[2024-06-11 20:18:15,207 INFO] Epoch:1, Snapshot: 50; Loss: 0.8032
+[2024-06-11 20:18:16,192 INFO] Epoch:1, Snapshot: 51; Loss: 0.7858
+[2024-06-11 20:18:17,145 INFO] Epoch:1, Snapshot: 52; Loss: 0.7799
+[2024-06-11 20:18:18,097 INFO] Epoch:1, Snapshot: 53; Loss: 0.7600
+[2024-06-11 20:18:19,019 INFO] Epoch:1, Snapshot: 54; Loss: 0.8755
+[2024-06-11 20:18:19,957 INFO] Epoch:1, Snapshot: 55; Loss: 0.8722
+[2024-06-11 20:18:20,911 INFO] Epoch:1, Snapshot: 56; Loss: 0.7860
+[2024-06-11 20:18:21,880 INFO] Epoch:1, Snapshot: 57; Loss: 0.7764
+[2024-06-11 20:18:22,833 INFO] Epoch:1, Snapshot: 58; Loss: 0.7769
+[2024-06-11 20:18:23,787 INFO] Epoch:1, Snapshot: 59; Loss: 0.8111
+[2024-06-11 20:18:24,772 INFO] Epoch:1, Snapshot: 60; Loss: 0.7497
+[2024-06-11 20:18:25,726 INFO] Epoch:1, Snapshot: 61; Loss: 0.8226
+[2024-06-11 20:18:26,680 INFO] Epoch:1, Snapshot: 62; Loss: 0.7923
+[2024-06-11 20:18:27,603 INFO] Epoch:1, Snapshot: 63; Loss: 0.7761
+[2024-06-11 20:18:28,525 INFO] Epoch:1, Snapshot: 64; Loss: 0.7617
+[2024-06-11 20:18:29,448 INFO] Epoch:1, Snapshot: 65; Loss: 0.7704
+[2024-06-11 20:18:30,401 INFO] Epoch:1, Snapshot: 66; Loss: 0.7838
+[2024-06-11 20:18:31,339 INFO] Epoch:1, Snapshot: 67; Loss: 0.7686
+[2024-06-11 20:18:32,261 INFO] Epoch:1, Snapshot: 68; Loss: 0.7704
+[2024-06-11 20:18:33,168 INFO] Epoch:1, Snapshot: 69; Loss: 0.7724
+[2024-06-11 20:18:34,059 INFO] Epoch:1, Snapshot: 70; Loss: 0.7631
+[2024-06-11 20:18:34,950 INFO] Epoch:1, Snapshot: 71; Loss: 0.7870
+[2024-06-11 20:18:35,887 INFO] Epoch:1, Snapshot: 72; Loss: 0.7608
+[2024-06-11 20:18:36,809 INFO] Epoch:1, Snapshot: 73; Loss: 0.7794
+[2024-06-11 20:18:37,715 INFO] Epoch:1, Snapshot: 74; Loss: 0.7705
+[2024-06-11 20:18:38,669 INFO] Epoch:1, Snapshot: 75; Loss: 0.7680
+[2024-06-11 20:18:39,590 INFO] Epoch:1, Snapshot: 76; Loss: 0.8605
+[2024-06-11 20:18:40,512 INFO] Epoch:1, Snapshot: 77; Loss: 0.8789
+[2024-06-11 20:18:41,452 INFO] Epoch:1, Snapshot: 78; Loss: 0.7897
+[2024-06-11 20:18:42,371 INFO] Epoch:1, Snapshot: 79; Loss: 0.7754
+[2024-06-11 20:18:43,278 INFO] Epoch:1, Snapshot: 80; Loss: 0.8864
+[2024-06-11 20:18:44,184 INFO] Epoch:1, Snapshot: 81; Loss: 0.8800
+[2024-06-11 20:18:45,106 INFO] Epoch:1, Snapshot: 82; Loss: 0.8954
+[2024-06-11 20:18:45,997 INFO] Epoch:1, Snapshot: 83; Loss: 0.8914
+[2024-06-11 20:18:46,950 INFO] Epoch:1, Snapshot: 84; Loss: 0.7566
+[2024-06-11 20:18:47,919 INFO] Epoch:1, Snapshot: 85; Loss: 0.7694
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+[2024-06-11 20:18:49,732 INFO] Epoch:1, Snapshot: 87; Loss: 0.7786
+[2024-06-11 20:18:50,622 INFO] Epoch:1, Snapshot: 88; Loss: 0.8001
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+[2024-06-11 20:18:54,389 INFO] Epoch:1, Snapshot: 92; Loss: 0.7913
+[2024-06-11 20:18:55,312 INFO] Epoch:1, Snapshot: 93; Loss: 0.7952
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+[2024-06-11 20:19:24,819 INFO] Epoch:1, Snapshot: 125; Loss: 0.7457
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+[2024-06-11 20:19:45,811 INFO] Epoch:1, Snapshot: 148; Loss: 0.7418
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+[2024-06-11 20:19:51,311 INFO] Epoch:1, Snapshot: 154; Loss: 0.7352
+[2024-06-11 20:19:52,249 INFO] Epoch:1, Snapshot: 155; Loss: 0.7395
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+[2024-06-11 20:20:03,193 INFO] Epoch:1, Snapshot: 167; Loss: 0.8114
+[2024-06-11 20:20:04,100 INFO] Epoch:1, Snapshot: 168; Loss: 0.7603
+[2024-06-11 20:20:04,974 INFO] Epoch:1, Snapshot: 169; Loss: 0.7631
+[2024-06-11 20:20:05,880 INFO] Epoch:1, Snapshot: 170; Loss: 0.7358
+[2024-06-11 20:20:06,818 INFO] Epoch:1, Snapshot: 171; Loss: 0.7274
+[2024-06-11 20:20:07,834 INFO] Epoch:1, Snapshot: 172; Loss: 0.7256
+[2024-06-11 20:20:08,791 INFO] Epoch:1, Snapshot: 173; Loss: 0.7630
+[2024-06-11 20:20:09,678 INFO] Epoch:1, Snapshot: 174; Loss: 0.8353
+[2024-06-11 20:20:10,585 INFO] Epoch:1, Snapshot: 175; Loss: 0.8042
+[2024-06-11 20:20:11,506 INFO] Epoch:1, Snapshot: 176; Loss: 0.7223
+[2024-06-11 20:20:12,397 INFO] Epoch:1, Snapshot: 177; Loss: 0.7957
+[2024-06-11 20:20:13,319 INFO] Epoch:1, Snapshot: 178; Loss: 0.7970
+[2024-06-11 20:20:14,257 INFO] Epoch:1, Snapshot: 179; Loss: 0.7478
+[2024-06-11 20:20:15,190 INFO] Epoch:1, Snapshot: 180; Loss: 0.7500
+[2024-06-11 20:20:16,085 INFO] Epoch:1, Snapshot: 181; Loss: 0.7447
+[2024-06-11 20:20:16,976 INFO] Epoch:1, Snapshot: 182; Loss: 0.7406
+[2024-06-11 20:20:17,866 INFO] Epoch:1, Snapshot: 183; Loss: 0.7433
+[2024-06-11 20:20:18,788 INFO] Epoch:1, Snapshot: 184; Loss: 0.7429
+[2024-06-11 20:20:19,710 INFO] Epoch:1, Snapshot: 185; Loss: 0.7399
+[2024-06-11 20:20:20,616 INFO] Epoch:1, Snapshot: 186; Loss: 0.7291
+[2024-06-11 20:20:21,523 INFO] Epoch:1, Snapshot: 187; Loss: 0.7890
+[2024-06-11 20:20:22,414 INFO] Epoch:1, Snapshot: 188; Loss: 0.7903
+[2024-06-11 20:20:23,289 INFO] Epoch:1, Snapshot: 189; Loss: 0.7328
+[2024-06-11 20:20:24,211 INFO] Epoch:1, Snapshot: 190; Loss: 0.7344
+[2024-06-11 20:20:25,149 INFO] Epoch:1, Snapshot: 191; Loss: 0.7249
+[2024-06-11 20:20:26,040 INFO] Epoch:1, Snapshot: 192; Loss: 0.7443
+[2024-06-11 20:20:26,963 INFO] Epoch:1, Snapshot: 193; Loss: 0.7329
+[2024-06-11 20:20:27,869 INFO] Epoch:1, Snapshot: 194; Loss: 0.7232
+[2024-06-11 20:20:28,744 INFO] Epoch:1, Snapshot: 195; Loss: 0.7370
+[2024-06-11 20:20:29,619 INFO] Epoch:1, Snapshot: 196; Loss: 0.7361
+[2024-06-11 20:20:30,510 INFO] Epoch:1, Snapshot: 197; Loss: 0.7527
+[2024-06-11 20:20:31,416 INFO] Epoch:1, Snapshot: 198; Loss: 0.7435
+[2024-06-11 20:20:32,354 INFO] Epoch:1, Snapshot: 199; Loss: 0.7367
+[2024-06-11 20:20:33,260 INFO] Epoch:1, Snapshot: 200; Loss: 0.7384
+[2024-06-11 20:20:34,135 INFO] Epoch:1, Snapshot: 201; Loss: 0.7234
+[2024-06-11 20:20:35,042 INFO] Epoch:1, Snapshot: 202; Loss: 0.7194
+[2024-06-11 20:20:35,951 INFO] Epoch:1, Snapshot: 203; Loss: 0.7388
+[2024-06-11 20:20:36,902 INFO] Epoch:1, Snapshot: 204; Loss: 0.7214
+[2024-06-11 20:20:37,793 INFO] Epoch:1, Snapshot: 205; Loss: 0.7418
+[2024-06-11 20:20:38,700 INFO] Epoch:1, Snapshot: 206; Loss: 0.7209
+[2024-06-11 20:20:39,575 INFO] Epoch:1, Snapshot: 207; Loss: 0.7314
+[2024-06-11 20:20:40,466 INFO] Epoch:1, Snapshot: 208; Loss: 0.7304
+[2024-06-11 20:20:41,387 INFO] Epoch:1, Snapshot: 209; Loss: 0.7349
+[2024-06-11 20:20:42,310 INFO] Epoch:1, Snapshot: 210; Loss: 0.7303
+[2024-06-11 20:20:43,232 INFO] Epoch:1, Snapshot: 211; Loss: 0.7269
+[2024-06-11 20:20:44,139 INFO] Epoch:1, Snapshot: 212; Loss: 0.7900
+[2024-06-11 20:20:45,029 INFO] Epoch:1, Snapshot: 213; Loss: 0.7985
+[2024-06-11 20:20:45,936 INFO] Epoch:1, Snapshot: 214; Loss: 0.7433
+[2024-06-11 20:20:46,842 INFO] Epoch:1, Snapshot: 215; Loss: 0.7584
+[2024-06-11 20:20:47,764 INFO] Epoch:1, Snapshot: 216; Loss: 0.7988
+[2024-06-11 20:20:48,639 INFO] Epoch:1, Snapshot: 217; Loss: 0.7799
+[2024-06-11 20:20:49,530 INFO] Epoch:1, Snapshot: 218; Loss: 0.7492
+[2024-06-11 20:20:50,452 INFO] Epoch:1, Snapshot: 219; Loss: 0.7285
+[2024-06-11 20:20:51,398 INFO] Epoch:1, Snapshot: 220; Loss: 0.7196
+[2024-06-11 20:20:52,313 INFO] Epoch:1, Snapshot: 221; Loss: 0.7197
+[2024-06-11 20:20:53,220 INFO] Epoch:1, Snapshot: 222; Loss: 0.7263
+[2024-06-11 20:20:54,111 INFO] Epoch:1, Snapshot: 223; Loss: 0.7293
+[2024-06-11 20:20:55,018 INFO] Epoch:1, Snapshot: 224; Loss: 0.8053
+[2024-06-11 20:20:55,970 INFO] Epoch:1, Snapshot: 225; Loss: 0.7444
+[2024-06-11 20:20:56,846 INFO] Epoch:1, Snapshot: 226; Loss: 0.7686
+[2024-06-11 20:20:57,767 INFO] Epoch:1, Snapshot: 227; Loss: 0.7308
+[2024-06-11 20:20:58,658 INFO] Epoch:1, Snapshot: 228; Loss: 0.7483
+[2024-06-11 20:20:59,550 INFO] Epoch:1, Snapshot: 229; Loss: 0.7323
+[2024-06-11 20:21:00,440 INFO] Epoch:1, Snapshot: 230; Loss: 0.7282
+[2024-06-11 20:21:01,346 INFO] Epoch:1, Snapshot: 231; Loss: 0.7187
+[2024-06-11 20:21:02,268 INFO] Epoch:1, Snapshot: 232; Loss: 0.7205
+[2024-06-11 20:21:03,190 INFO] Epoch:1, Snapshot: 233; Loss: 0.7301
+[2024-06-11 20:21:04,097 INFO] Epoch:1, Snapshot: 234; Loss: 0.7190
+[2024-06-11 20:21:05,018 INFO] Epoch:1, Snapshot: 235; Loss: 0.7151
+[2024-06-11 20:21:05,925 INFO] Epoch:1, Snapshot: 236; Loss: 0.7226
+[2024-06-11 20:21:06,801 INFO] Epoch:1, Snapshot: 237; Loss: 0.7288
+[2024-06-11 20:21:07,676 INFO] Epoch:1, Snapshot: 238; Loss: 0.7283
+[2024-06-11 20:21:08,552 INFO] Epoch:1, Snapshot: 239; Loss: 0.7500
+[2024-06-11 20:21:09,458 INFO] Epoch:1, Snapshot: 240; Loss: 0.7907
+[2024-06-11 20:21:10,380 INFO] Epoch:1, Snapshot: 241; Loss: 0.8039
+[2024-06-11 20:21:11,319 INFO] Epoch:1, Snapshot: 242; Loss: 0.7397
+[2024-06-11 20:21:12,225 INFO] Epoch:1, Snapshot: 243; Loss: 0.7136
+[2024-06-11 20:21:13,163 INFO] Epoch:1, Snapshot: 244; Loss: 0.7168
+[2024-06-11 20:21:14,054 INFO] Epoch:1, Snapshot: 245; Loss: 0.7164
+[2024-06-11 20:21:14,961 INFO] Epoch:1, Snapshot: 246; Loss: 0.7234
+[2024-06-11 20:21:15,867 INFO] Epoch:1, Snapshot: 247; Loss: 0.7087
+[2024-06-11 20:21:16,789 INFO] Epoch:1, Snapshot: 248; Loss: 0.7072
+[2024-06-11 20:21:17,712 INFO] Epoch:1, Snapshot: 249; Loss: 0.7280
+[2024-06-11 20:21:18,634 INFO] Epoch:1, Snapshot: 250; Loss: 0.7172
+[2024-06-11 20:21:19,555 INFO] Epoch:1, Snapshot: 251; Loss: 0.7091
+[2024-06-11 20:21:20,384 INFO] Epoch:1, Snapshot: 252; Loss: 0.7131
+[2024-06-11 20:21:21,237 INFO] Epoch:1, Snapshot: 253; Loss: 0.7048
+[2024-06-11 20:21:22,056 INFO] Epoch:1, Snapshot: 254; Loss: 0.7149
+[2024-06-11 20:21:22,978 INFO] Epoch:1, Snapshot: 255; Loss: 0.7171
+[2024-06-11 20:21:23,948 INFO] Epoch:1, Snapshot: 256; Loss: 0.7417
+[2024-06-11 20:21:24,838 INFO] Epoch:1, Snapshot: 257; Loss: 0.7953
+[2024-06-11 20:21:25,729 INFO] Epoch:1, Snapshot: 258; Loss: 0.7731
+[2024-06-11 20:21:26,572 INFO] Epoch:1, Snapshot: 259; Loss: 0.7179
+[2024-06-11 20:21:27,416 INFO] Epoch:1, Snapshot: 260; Loss: 0.7196
+[2024-06-11 20:21:28,275 INFO] Epoch:1, Snapshot: 261; Loss: 0.7239
+[2024-06-11 20:21:29,088 INFO] Epoch:1, Snapshot: 262; Loss: 0.7427
+[2024-06-11 20:21:29,884 INFO] Epoch:1, Snapshot: 263; Loss: 0.7380
+[2024-06-11 20:21:30,697 INFO] Epoch:1, Snapshot: 264; Loss: 0.7136
+[2024-06-11 20:21:31,509 INFO] Epoch:1, Snapshot: 265; Loss: 0.7179
+[2024-06-11 20:21:32,384 INFO] Epoch:1, Snapshot: 266; Loss: 0.7725
+[2024-06-11 20:21:33,229 INFO] Epoch:1, Snapshot: 267; Loss: 0.7244
+[2024-06-11 20:21:34,073 INFO] Epoch:1, Snapshot: 268; Loss: 0.7706
+[2024-06-11 20:21:34,917 INFO] Epoch:1, Snapshot: 269; Loss: 0.7098
+[2024-06-11 20:21:35,745 INFO] Epoch:1, Snapshot: 270; Loss: 0.7148
+[2024-06-11 20:21:36,574 INFO] Epoch:1, Snapshot: 271; Loss: 0.7291
+[2024-06-11 20:21:37,434 INFO] Epoch:1, Snapshot: 272; Loss: 0.7310
+[2024-06-11 20:21:38,293 INFO] Epoch:1, Snapshot: 273; Loss: 0.7164
+[2024-06-11 20:21:39,121 INFO] Epoch:1, Snapshot: 274; Loss: 0.7088
+[2024-06-11 20:21:39,934 INFO] Epoch:1, Snapshot: 275; Loss: 0.7724
+[2024-06-11 20:21:40,777 INFO] Epoch:1, Snapshot: 276; Loss: 0.7714
+[2024-06-11 20:21:41,637 INFO] Epoch:1, Snapshot: 277; Loss: 0.7254
+[2024-06-11 20:21:42,498 INFO] Epoch:1, Snapshot: 278; Loss: 0.7151
+[2024-06-11 20:21:43,309 INFO] Epoch:1, Snapshot: 279; Loss: 0.7124
+[2024-06-11 20:21:44,154 INFO] Epoch:1, Snapshot: 280; Loss: 0.7128
+[2024-06-11 20:21:44,998 INFO] Epoch:1, Snapshot: 281; Loss: 0.7115
+[2024-06-11 20:21:45,858 INFO] Epoch:1, Snapshot: 282; Loss: 0.7733
+[2024-06-11 20:21:46,702 INFO] Epoch:1, Snapshot: 283; Loss: 0.7551
+[2024-06-11 20:21:47,515 INFO] Epoch:1, Snapshot: 284; Loss: 0.7103
+[2024-06-11 20:21:48,375 INFO] Epoch:1, Snapshot: 285; Loss: 0.7159
+[2024-06-11 20:21:49,236 INFO] Epoch:1, Snapshot: 286; Loss: 0.7082
+[2024-06-11 20:21:50,112 INFO] Epoch:1, Snapshot: 287; Loss: 0.7090
+[2024-06-11 20:21:50,940 INFO] Epoch:1, Snapshot: 288; Loss: 0.7044
+[2024-06-11 20:21:51,831 INFO] Epoch:1, Snapshot: 289; Loss: 0.7145
+[2024-06-11 20:21:52,707 INFO] Epoch:1, Snapshot: 290; Loss: 0.7112
+[2024-06-11 20:21:53,581 INFO] Epoch:1, Snapshot: 291; Loss: 0.7298
+[2024-06-11 20:21:54,425 INFO] Epoch:1, Snapshot: 292; Loss: 0.7304
+[2024-06-11 20:21:55,269 INFO] Epoch:1, Snapshot: 293; Loss: 0.7129
+[2024-06-11 20:21:56,112 INFO] Epoch:1, Snapshot: 294; Loss: 0.7055
+[2024-06-11 20:21:56,941 INFO] Epoch:1, Snapshot: 295; Loss: 0.7115
+[2024-06-11 20:21:57,770 INFO] Epoch:1, Snapshot: 296; Loss: 0.7094
+[2024-06-11 20:21:58,613 INFO] Epoch:1, Snapshot: 297; Loss: 0.7035
+[2024-06-11 20:21:59,473 INFO] Epoch:1, Snapshot: 298; Loss: 0.7007
+[2024-06-11 20:22:00,332 INFO] Epoch:1, Snapshot: 299; Loss: 0.7331
+[2024-06-11 20:22:01,192 INFO] Epoch:1, Snapshot: 300; Loss: 0.7558
+[2024-06-11 20:22:02,067 INFO] Epoch:1, Snapshot: 301; Loss: 0.7229
+[2024-06-11 20:22:02,879 INFO] Epoch:1, Snapshot: 302; Loss: 0.7005
+[2024-06-11 20:22:03,709 INFO] Epoch:1, Snapshot: 303; Loss: 0.7028
+[2024-06-11 20:22:04,569 INFO] Epoch:1, Snapshot: 304; Loss: 0.7162
+[2024-06-11 20:22:05,460 INFO] Epoch:1, Snapshot: 305; Loss: 0.7057
+[2024-06-11 20:22:06,319 INFO] Epoch:1, Snapshot: 306; Loss: 0.7683
+[2024-06-11 20:22:07,131 INFO] Epoch:1, Snapshot: 307; Loss: 0.7610
+[2024-06-11 20:22:07,975 INFO] Epoch:1, Snapshot: 308; Loss: 0.7116
+[2024-06-11 20:22:08,856 INFO] Epoch:1, Snapshot: 309; Loss: 0.7053
+[2024-06-11 20:22:09,710 INFO] Epoch:1, Snapshot: 310; Loss: 0.7114
+[2024-06-11 20:22:10,539 INFO] Epoch:1, Snapshot: 311; Loss: 0.7090
+[2024-06-11 20:22:11,352 INFO] Epoch:1, Snapshot: 312; Loss: 0.7088
+[2024-06-11 20:22:12,211 INFO] Epoch:1, Snapshot: 313; Loss: 0.7589
+[2024-06-11 20:22:13,070 INFO] Epoch:1, Snapshot: 314; Loss: 0.7606
+[2024-06-11 20:22:13,899 INFO] Epoch:1, Snapshot: 315; Loss: 0.6986
+[2024-06-11 20:22:14,727 INFO] Epoch:1, Snapshot: 316; Loss: 0.7114
+[2024-06-11 20:22:15,540 INFO] Epoch:1, Snapshot: 317; Loss: 0.7122
+[2024-06-11 20:26:35,341 INFO] ==========================================================================================
+[2024-06-11 20:26:35,341 INFO] Epoch:1, Loss: 0.7670, Time: 549.847, GPU: 418.4MiB
+[2024-06-11 20:26:35,341 INFO] Epoch:1, Accuracy: 0.4995; F1: 0.0000; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, Memory: 471.1244, time: 723.1617
+[2024-06-11 20:26:36,248 INFO] Epoch:2, Snapshot: 0; Loss: 0.8073
+[2024-06-11 20:26:37,248 INFO] Epoch:2, Snapshot: 1; Loss: 0.7795
+[2024-06-11 20:26:38,248 INFO] Epoch:2, Snapshot: 2; Loss: 0.7057
+[2024-06-11 20:26:39,342 INFO] Epoch:2, Snapshot: 3; Loss: 0.7011
+[2024-06-11 20:26:40,374 INFO] Epoch:2, Snapshot: 4; Loss: 0.7053
+[2024-06-11 20:26:41,436 INFO] Epoch:2, Snapshot: 5; Loss: 0.7057
+[2024-06-11 20:26:42,437 INFO] Epoch:2, Snapshot: 6; Loss: 0.7866
+[2024-06-11 20:26:43,484 INFO] Epoch:2, Snapshot: 7; Loss: 0.7481
+[2024-06-11 20:26:44,561 INFO] Epoch:2, Snapshot: 8; Loss: 0.7035
+[2024-06-11 20:26:45,608 INFO] Epoch:2, Snapshot: 9; Loss: 0.7078
+[2024-06-11 20:26:46,670 INFO] Epoch:2, Snapshot: 10; Loss: 0.7052
+[2024-06-11 20:26:47,655 INFO] Epoch:2, Snapshot: 11; Loss: 0.7041
+[2024-06-11 20:26:48,702 INFO] Epoch:2, Snapshot: 12; Loss: 0.7029
+[2024-06-11 20:26:49,781 INFO] Epoch:2, Snapshot: 13; Loss: 0.7050
+[2024-06-11 20:26:50,844 INFO] Epoch:2, Snapshot: 14; Loss: 0.7006
+[2024-06-11 20:26:51,891 INFO] Epoch:2, Snapshot: 15; Loss: 0.7241
+[2024-06-11 20:26:52,969 INFO] Epoch:2, Snapshot: 16; Loss: 0.7160
+[2024-06-11 20:26:54,063 INFO] Epoch:2, Snapshot: 17; Loss: 0.6972
+[2024-06-11 20:26:55,141 INFO] Epoch:2, Snapshot: 18; Loss: 0.7704
+[2024-06-11 20:26:56,079 INFO] Epoch:2, Snapshot: 19; Loss: 0.7450
+[2024-06-11 20:26:56,955 INFO] Epoch:2, Snapshot: 20; Loss: 0.7075
+[2024-06-11 20:26:57,861 INFO] Epoch:2, Snapshot: 21; Loss: 0.7055
+[2024-06-11 20:26:58,767 INFO] Epoch:2, Snapshot: 22; Loss: 0.7124
+[2024-06-11 20:26:59,690 INFO] Epoch:2, Snapshot: 23; Loss: 0.7067
+[2024-06-11 20:27:00,612 INFO] Epoch:2, Snapshot: 24; Loss: 0.7083
+[2024-06-11 20:27:01,534 INFO] Epoch:2, Snapshot: 25; Loss: 0.7071
+[2024-06-11 20:27:02,409 INFO] Epoch:2, Snapshot: 26; Loss: 0.7083
+[2024-06-11 20:27:03,300 INFO] Epoch:2, Snapshot: 27; Loss: 0.7431
+[2024-06-11 20:27:04,206 INFO] Epoch:2, Snapshot: 28; Loss: 0.7279
+[2024-06-11 20:27:05,159 INFO] Epoch:2, Snapshot: 29; Loss: 0.6944
+[2024-06-11 20:27:06,082 INFO] Epoch:2, Snapshot: 30; Loss: 0.6989
+[2024-06-11 20:27:07,057 INFO] Epoch:2, Snapshot: 31; Loss: 0.7023
+[2024-06-11 20:27:08,004 INFO] Epoch:2, Snapshot: 32; Loss: 0.7336
+[2024-06-11 20:27:08,926 INFO] Epoch:2, Snapshot: 33; Loss: 0.7196
+[2024-06-11 20:27:09,865 INFO] Epoch:2, Snapshot: 34; Loss: 0.7122
+[2024-06-11 20:27:10,881 INFO] Epoch:2, Snapshot: 35; Loss: 0.7004
+[2024-06-11 20:27:11,850 INFO] Epoch:2, Snapshot: 36; Loss: 0.6979
+[2024-06-11 20:27:12,788 INFO] Epoch:2, Snapshot: 37; Loss: 0.7049
+[2024-06-11 20:27:13,741 INFO] Epoch:2, Snapshot: 38; Loss: 0.7038
+[2024-06-11 20:27:14,711 INFO] Epoch:2, Snapshot: 39; Loss: 0.7061
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+[2024-06-11 20:27:16,617 INFO] Epoch:2, Snapshot: 41; Loss: 0.6955
+[2024-06-11 20:27:17,587 INFO] Epoch:2, Snapshot: 42; Loss: 0.7066
+[2024-06-11 20:27:18,509 INFO] Epoch:2, Snapshot: 43; Loss: 0.7070
+[2024-06-11 20:27:19,462 INFO] Epoch:2, Snapshot: 44; Loss: 0.6947
+[2024-06-11 20:27:20,417 INFO] Epoch:2, Snapshot: 45; Loss: 0.7462
+[2024-06-11 20:27:21,370 INFO] Epoch:2, Snapshot: 46; Loss: 0.7423
+[2024-06-11 20:27:22,323 INFO] Epoch:2, Snapshot: 47; Loss: 0.7441
+[2024-06-11 20:27:23,276 INFO] Epoch:2, Snapshot: 48; Loss: 0.7427
+[2024-06-11 20:27:24,261 INFO] Epoch:2, Snapshot: 49; Loss: 0.7214
+[2024-06-11 20:27:25,230 INFO] Epoch:2, Snapshot: 50; Loss: 0.7212
+[2024-06-11 20:27:26,245 INFO] Epoch:2, Snapshot: 51; Loss: 0.6976
+[2024-06-11 20:27:27,219 INFO] Epoch:2, Snapshot: 52; Loss: 0.6966
+[2024-06-11 20:27:28,156 INFO] Epoch:2, Snapshot: 53; Loss: 0.6960
+[2024-06-11 20:27:29,125 INFO] Epoch:2, Snapshot: 54; Loss: 0.7003
+[2024-06-11 20:27:30,079 INFO] Epoch:2, Snapshot: 55; Loss: 0.7037
+[2024-06-11 20:27:31,017 INFO] Epoch:2, Snapshot: 56; Loss: 0.7051
+[2024-06-11 20:27:31,954 INFO] Epoch:2, Snapshot: 57; Loss: 0.7027
+[2024-06-11 20:27:32,892 INFO] Epoch:2, Snapshot: 58; Loss: 0.7000
+[2024-06-11 20:27:33,877 INFO] Epoch:2, Snapshot: 59; Loss: 0.7012
+[2024-06-11 20:27:34,864 INFO] Epoch:2, Snapshot: 60; Loss: 0.6926
+[2024-06-11 20:27:35,801 INFO] Epoch:2, Snapshot: 61; Loss: 0.7043
+[2024-06-11 20:27:36,721 INFO] Epoch:2, Snapshot: 62; Loss: 0.7043
+[2024-06-11 20:27:37,658 INFO] Epoch:2, Snapshot: 63; Loss: 0.6991
+[2024-06-11 20:27:38,643 INFO] Epoch:2, Snapshot: 64; Loss: 0.6952
+[2024-06-11 20:27:39,564 INFO] Epoch:2, Snapshot: 65; Loss: 0.6981
+[2024-06-11 20:27:40,487 INFO] Epoch:2, Snapshot: 66; Loss: 0.7023
+[2024-06-11 20:27:41,393 INFO] Epoch:2, Snapshot: 67; Loss: 0.6967
+[2024-06-11 20:27:42,315 INFO] Epoch:2, Snapshot: 68; Loss: 0.6977
+[2024-06-11 20:27:43,238 INFO] Epoch:2, Snapshot: 69; Loss: 0.7359
+[2024-06-11 20:27:44,179 INFO] Epoch:2, Snapshot: 70; Loss: 0.7513
+[2024-06-11 20:27:45,067 INFO] Epoch:2, Snapshot: 71; Loss: 0.7053
+[2024-06-11 20:27:45,989 INFO] Epoch:2, Snapshot: 72; Loss: 0.6957
+[2024-06-11 20:27:46,912 INFO] Epoch:2, Snapshot: 73; Loss: 0.7322
+[2024-06-11 20:27:47,817 INFO] Epoch:2, Snapshot: 74; Loss: 0.7294
+[2024-06-11 20:27:48,755 INFO] Epoch:2, Snapshot: 75; Loss: 0.6964
+[2024-06-11 20:27:49,693 INFO] Epoch:2, Snapshot: 76; Loss: 0.6978
+[2024-06-11 20:27:50,631 INFO] Epoch:2, Snapshot: 77; Loss: 0.7019
+[2024-06-11 20:27:51,537 INFO] Epoch:2, Snapshot: 78; Loss: 0.7003
+[2024-06-11 20:27:52,475 INFO] Epoch:2, Snapshot: 79; Loss: 0.6996
+[2024-06-11 20:27:53,382 INFO] Epoch:2, Snapshot: 80; Loss: 0.6998
+[2024-06-11 20:27:54,319 INFO] Epoch:2, Snapshot: 81; Loss: 0.7021
+[2024-06-11 20:27:55,257 INFO] Epoch:2, Snapshot: 82; Loss: 0.7001
+[2024-06-11 20:27:56,213 INFO] Epoch:2, Snapshot: 83; Loss: 0.7005
+[2024-06-11 20:27:57,133 INFO] Epoch:2, Snapshot: 84; Loss: 0.6927
+[2024-06-11 20:27:58,071 INFO] Epoch:2, Snapshot: 85; Loss: 0.6977
+[2024-06-11 20:27:58,965 INFO] Epoch:2, Snapshot: 86; Loss: 0.7045
+[2024-06-11 20:27:59,901 INFO] Epoch:2, Snapshot: 87; Loss: 0.7309
+[2024-06-11 20:28:00,855 INFO] Epoch:2, Snapshot: 88; Loss: 0.7353
+[2024-06-11 20:28:01,777 INFO] Epoch:2, Snapshot: 89; Loss: 0.6978
+[2024-06-11 20:28:02,682 INFO] Epoch:2, Snapshot: 90; Loss: 0.7024
+[2024-06-11 20:28:03,589 INFO] Epoch:2, Snapshot: 91; Loss: 0.6972
+[2024-06-11 20:28:04,496 INFO] Epoch:2, Snapshot: 92; Loss: 0.6897
+[2024-06-11 20:28:05,403 INFO] Epoch:2, Snapshot: 93; Loss: 0.6949
+[2024-06-11 20:28:06,372 INFO] Epoch:2, Snapshot: 94; Loss: 0.6982
+[2024-06-11 20:28:07,309 INFO] Epoch:2, Snapshot: 95; Loss: 0.6979
+[2024-06-11 20:28:08,231 INFO] Epoch:2, Snapshot: 96; Loss: 0.6962
+[2024-06-11 20:28:09,137 INFO] Epoch:2, Snapshot: 97; Loss: 0.6964
+[2024-06-11 20:28:10,043 INFO] Epoch:2, Snapshot: 98; Loss: 0.6909
+[2024-06-11 20:28:10,934 INFO] Epoch:2, Snapshot: 99; Loss: 0.6972
+[2024-06-11 20:28:11,903 INFO] Epoch:2, Snapshot: 100; Loss: 0.6997
+[2024-06-11 20:28:12,826 INFO] Epoch:2, Snapshot: 101; Loss: 0.6950
+[2024-06-11 20:28:13,717 INFO] Epoch:2, Snapshot: 102; Loss: 0.6914
+[2024-06-11 20:28:14,624 INFO] Epoch:2, Snapshot: 103; Loss: 0.6940
+[2024-06-11 20:28:15,514 INFO] Epoch:2, Snapshot: 104; Loss: 0.6920
+[2024-06-11 20:28:16,436 INFO] Epoch:2, Snapshot: 105; Loss: 0.7067
+[2024-06-11 20:28:17,374 INFO] Epoch:2, Snapshot: 106; Loss: 0.7060
+[2024-06-11 20:28:18,312 INFO] Epoch:2, Snapshot: 107; Loss: 0.7159
+[2024-06-11 20:28:19,219 INFO] Epoch:2, Snapshot: 108; Loss: 0.7075
+[2024-06-11 20:28:20,157 INFO] Epoch:2, Snapshot: 109; Loss: 0.6903
+[2024-06-11 20:28:21,063 INFO] Epoch:2, Snapshot: 110; Loss: 0.6945
+[2024-06-11 20:28:21,985 INFO] Epoch:2, Snapshot: 111; Loss: 0.6885
+[2024-06-11 20:28:22,938 INFO] Epoch:2, Snapshot: 112; Loss: 0.6921
+[2024-06-11 20:28:23,876 INFO] Epoch:2, Snapshot: 113; Loss: 0.6913
+[2024-06-11 20:28:24,798 INFO] Epoch:2, Snapshot: 114; Loss: 0.6930
+[2024-06-11 20:28:25,689 INFO] Epoch:2, Snapshot: 115; Loss: 0.6931
+[2024-06-11 20:28:26,595 INFO] Epoch:2, Snapshot: 116; Loss: 0.6943
+[2024-06-11 20:28:27,501 INFO] Epoch:2, Snapshot: 117; Loss: 0.6947
+[2024-06-11 20:28:28,440 INFO] Epoch:2, Snapshot: 118; Loss: 0.6966
+[2024-06-11 20:28:29,409 INFO] Epoch:2, Snapshot: 119; Loss: 0.7357
+[2024-06-11 20:28:30,331 INFO] Epoch:2, Snapshot: 120; Loss: 0.7393
+[2024-06-11 20:28:31,237 INFO] Epoch:2, Snapshot: 121; Loss: 0.6923
+[2024-06-11 20:28:32,113 INFO] Epoch:2, Snapshot: 122; Loss: 0.6948
+[2024-06-11 20:28:33,052 INFO] Epoch:2, Snapshot: 123; Loss: 0.6940
+[2024-06-11 20:28:33,988 INFO] Epoch:2, Snapshot: 124; Loss: 0.6887
+[2024-06-11 20:28:34,895 INFO] Epoch:2, Snapshot: 125; Loss: 0.6894
+[2024-06-11 20:28:35,833 INFO] Epoch:2, Snapshot: 126; Loss: 0.6924
+[2024-06-11 20:28:36,739 INFO] Epoch:2, Snapshot: 127; Loss: 0.7147
+[2024-06-11 20:28:37,661 INFO] Epoch:2, Snapshot: 128; Loss: 0.7002
+[2024-06-11 20:28:38,583 INFO] Epoch:2, Snapshot: 129; Loss: 0.6988
+[2024-06-11 20:28:39,489 INFO] Epoch:2, Snapshot: 130; Loss: 0.7055
+[2024-06-11 20:28:40,428 INFO] Epoch:2, Snapshot: 131; Loss: 0.7356
+[2024-06-11 20:28:41,349 INFO] Epoch:2, Snapshot: 132; Loss: 0.7514
+[2024-06-11 20:28:42,303 INFO] Epoch:2, Snapshot: 133; Loss: 0.7024
+[2024-06-11 20:28:43,224 INFO] Epoch:2, Snapshot: 134; Loss: 0.6928
+[2024-06-11 20:28:44,131 INFO] Epoch:2, Snapshot: 135; Loss: 0.6878
+[2024-06-11 20:28:45,054 INFO] Epoch:2, Snapshot: 136; Loss: 0.6862
+[2024-06-11 20:28:45,945 INFO] Epoch:2, Snapshot: 137; Loss: 0.6923
+[2024-06-11 20:28:46,883 INFO] Epoch:2, Snapshot: 138; Loss: 0.7390
+[2024-06-11 20:28:47,821 INFO] Epoch:2, Snapshot: 139; Loss: 0.7298
+[2024-06-11 20:28:48,759 INFO] Epoch:2, Snapshot: 140; Loss: 0.6883
+[2024-06-11 20:28:49,666 INFO] Epoch:2, Snapshot: 141; Loss: 0.6903
+[2024-06-11 20:28:50,572 INFO] Epoch:2, Snapshot: 142; Loss: 0.6907
+[2024-06-11 20:28:51,510 INFO] Epoch:2, Snapshot: 143; Loss: 0.7354
+[2024-06-11 20:28:52,448 INFO] Epoch:2, Snapshot: 144; Loss: 0.7256
+[2024-06-11 20:28:53,370 INFO] Epoch:2, Snapshot: 145; Loss: 0.7119
+[2024-06-11 20:28:54,308 INFO] Epoch:2, Snapshot: 146; Loss: 0.6974
+[2024-06-11 20:28:55,230 INFO] Epoch:2, Snapshot: 147; Loss: 0.7243
+[2024-06-11 20:28:56,137 INFO] Epoch:2, Snapshot: 148; Loss: 0.7125
+[2024-06-11 20:28:57,090 INFO] Epoch:2, Snapshot: 149; Loss: 0.6905
+[2024-06-11 20:28:58,028 INFO] Epoch:2, Snapshot: 150; Loss: 0.6917
+[2024-06-11 20:28:58,952 INFO] Epoch:2, Snapshot: 151; Loss: 0.6929
+[2024-06-11 20:28:59,872 INFO] Epoch:2, Snapshot: 152; Loss: 0.7243
+[2024-06-11 20:29:00,794 INFO] Epoch:2, Snapshot: 153; Loss: 0.6964
+[2024-06-11 20:29:01,748 INFO] Epoch:2, Snapshot: 154; Loss: 0.7188
+[2024-06-11 20:29:02,716 INFO] Epoch:2, Snapshot: 155; Loss: 0.7030
+[2024-06-11 20:29:03,638 INFO] Epoch:2, Snapshot: 156; Loss: 0.7030
+[2024-06-11 20:29:04,591 INFO] Epoch:2, Snapshot: 157; Loss: 0.6907
+[2024-06-11 20:29:05,482 INFO] Epoch:2, Snapshot: 158; Loss: 0.7077
+[2024-06-11 20:29:06,357 INFO] Epoch:2, Snapshot: 159; Loss: 0.7048
+[2024-06-11 20:29:07,264 INFO] Epoch:2, Snapshot: 160; Loss: 0.6914
+[2024-06-11 20:29:08,170 INFO] Epoch:2, Snapshot: 161; Loss: 0.6892
+[2024-06-11 20:29:09,108 INFO] Epoch:2, Snapshot: 162; Loss: 0.6924
+[2024-06-11 20:29:10,045 INFO] Epoch:2, Snapshot: 163; Loss: 0.6856
+[2024-06-11 20:29:10,999 INFO] Epoch:2, Snapshot: 164; Loss: 0.6932
+[2024-06-11 20:29:11,874 INFO] Epoch:2, Snapshot: 165; Loss: 0.7029
+[2024-06-11 20:29:12,749 INFO] Epoch:2, Snapshot: 166; Loss: 0.6986
+[2024-06-11 20:29:13,671 INFO] Epoch:2, Snapshot: 167; Loss: 0.6909
+[2024-06-11 20:29:14,593 INFO] Epoch:2, Snapshot: 168; Loss: 0.6909
+[2024-06-11 20:29:15,484 INFO] Epoch:2, Snapshot: 169; Loss: 0.6909
+[2024-06-11 20:29:16,406 INFO] Epoch:2, Snapshot: 170; Loss: 0.6896
+[2024-06-11 20:29:17,343 INFO] Epoch:2, Snapshot: 171; Loss: 0.6854
+[2024-06-11 20:29:18,250 INFO] Epoch:2, Snapshot: 172; Loss: 0.6867
+[2024-06-11 20:29:19,156 INFO] Epoch:2, Snapshot: 173; Loss: 0.7273
+[2024-06-11 20:29:20,048 INFO] Epoch:2, Snapshot: 174; Loss: 0.7167
+[2024-06-11 20:29:20,939 INFO] Epoch:2, Snapshot: 175; Loss: 0.6908
+[2024-06-11 20:29:21,876 INFO] Epoch:2, Snapshot: 176; Loss: 0.6852
+[2024-06-11 20:29:22,798 INFO] Epoch:2, Snapshot: 177; Loss: 0.7220
+[2024-06-11 20:29:23,705 INFO] Epoch:2, Snapshot: 178; Loss: 0.7194
+[2024-06-11 20:29:24,627 INFO] Epoch:2, Snapshot: 179; Loss: 0.7004
+[2024-06-11 20:29:25,502 INFO] Epoch:2, Snapshot: 180; Loss: 0.6943
+[2024-06-11 20:29:26,455 INFO] Epoch:2, Snapshot: 181; Loss: 0.6897
+[2024-06-11 20:29:27,377 INFO] Epoch:2, Snapshot: 182; Loss: 0.7235
+[2024-06-11 20:29:28,283 INFO] Epoch:2, Snapshot: 183; Loss: 0.7218
+[2024-06-11 20:29:29,174 INFO] Epoch:2, Snapshot: 184; Loss: 0.6900
+[2024-06-11 20:29:30,081 INFO] Epoch:2, Snapshot: 185; Loss: 0.6890
+[2024-06-11 20:29:30,988 INFO] Epoch:2, Snapshot: 186; Loss: 0.6859
+[2024-06-11 20:29:31,909 INFO] Epoch:2, Snapshot: 187; Loss: 0.6872
+[2024-06-11 20:29:32,847 INFO] Epoch:2, Snapshot: 188; Loss: 0.6862
+[2024-06-11 20:29:33,769 INFO] Epoch:2, Snapshot: 189; Loss: 0.6896
+[2024-06-11 20:29:34,690 INFO] Epoch:2, Snapshot: 190; Loss: 0.7198
+[2024-06-11 20:29:35,597 INFO] Epoch:2, Snapshot: 191; Loss: 0.7142
+[2024-06-11 20:29:36,504 INFO] Epoch:2, Snapshot: 192; Loss: 0.6912
+[2024-06-11 20:29:37,379 INFO] Epoch:2, Snapshot: 193; Loss: 0.6875
+[2024-06-11 20:29:38,285 INFO] Epoch:2, Snapshot: 194; Loss: 0.6850
+[2024-06-11 20:29:39,207 INFO] Epoch:2, Snapshot: 195; Loss: 0.6898
+[2024-06-11 20:29:40,130 INFO] Epoch:2, Snapshot: 196; Loss: 0.6880
+[2024-06-11 20:29:41,067 INFO] Epoch:2, Snapshot: 197; Loss: 0.7029
+[2024-06-11 20:29:41,989 INFO] Epoch:2, Snapshot: 198; Loss: 0.6978
+[2024-06-11 20:29:42,894 INFO] Epoch:2, Snapshot: 199; Loss: 0.6894
+[2024-06-11 20:29:43,769 INFO] Epoch:2, Snapshot: 200; Loss: 0.6881
+[2024-06-11 20:29:44,660 INFO] Epoch:2, Snapshot: 201; Loss: 0.6856
+[2024-06-11 20:29:45,598 INFO] Epoch:2, Snapshot: 202; Loss: 0.6854
+[2024-06-11 20:29:46,520 INFO] Epoch:2, Snapshot: 203; Loss: 0.6870
+[2024-06-11 20:29:47,441 INFO] Epoch:2, Snapshot: 204; Loss: 0.6843
+[2024-06-11 20:29:48,379 INFO] Epoch:2, Snapshot: 205; Loss: 0.6892
+[2024-06-11 20:29:49,285 INFO] Epoch:2, Snapshot: 206; Loss: 0.6858
+[2024-06-11 20:29:50,223 INFO] Epoch:2, Snapshot: 207; Loss: 0.6870
+[2024-06-11 20:29:51,112 INFO] Epoch:2, Snapshot: 208; Loss: 0.6843
+[2024-06-11 20:29:52,050 INFO] Epoch:2, Snapshot: 209; Loss: 0.6891
+[2024-06-11 20:29:53,014 INFO] Epoch:2, Snapshot: 210; Loss: 0.6865
+[2024-06-11 20:29:53,910 INFO] Epoch:2, Snapshot: 211; Loss: 0.6868
+[2024-06-11 20:29:54,816 INFO] Epoch:2, Snapshot: 212; Loss: 0.7188
+[2024-06-11 20:29:55,721 INFO] Epoch:2, Snapshot: 213; Loss: 0.7091
+[2024-06-11 20:29:56,612 INFO] Epoch:2, Snapshot: 214; Loss: 0.6848
+[2024-06-11 20:29:57,519 INFO] Epoch:2, Snapshot: 215; Loss: 0.6914
+[2024-06-11 20:29:58,442 INFO] Epoch:2, Snapshot: 216; Loss: 0.7184
+[2024-06-11 20:29:59,348 INFO] Epoch:2, Snapshot: 217; Loss: 0.7049
+[2024-06-11 20:30:00,255 INFO] Epoch:2, Snapshot: 218; Loss: 0.7010
+[2024-06-11 20:30:01,177 INFO] Epoch:2, Snapshot: 219; Loss: 0.6903
+[2024-06-11 20:30:02,068 INFO] Epoch:2, Snapshot: 220; Loss: 0.6886
+[2024-06-11 20:30:02,990 INFO] Epoch:2, Snapshot: 221; Loss: 0.6832
+[2024-06-11 20:30:03,912 INFO] Epoch:2, Snapshot: 222; Loss: 0.6865
+[2024-06-11 20:30:04,818 INFO] Epoch:2, Snapshot: 223; Loss: 0.6862
+[2024-06-11 20:30:05,780 INFO] Epoch:2, Snapshot: 224; Loss: 0.7302
+[2024-06-11 20:30:06,663 INFO] Epoch:2, Snapshot: 225; Loss: 0.7113
+[2024-06-11 20:30:07,601 INFO] Epoch:2, Snapshot: 226; Loss: 0.7195
+[2024-06-11 20:30:08,555 INFO] Epoch:2, Snapshot: 227; Loss: 0.7055
+[2024-06-11 20:30:09,462 INFO] Epoch:2, Snapshot: 228; Loss: 0.6869
+[2024-06-11 20:30:10,369 INFO] Epoch:2, Snapshot: 229; Loss: 0.6890
+[2024-06-11 20:30:11,260 INFO] Epoch:2, Snapshot: 230; Loss: 0.6854
+[2024-06-11 20:30:12,164 INFO] Epoch:2, Snapshot: 231; Loss: 0.6875
+[2024-06-11 20:30:13,073 INFO] Epoch:2, Snapshot: 232; Loss: 0.6839
+[2024-06-11 20:30:13,995 INFO] Epoch:2, Snapshot: 233; Loss: 0.6853
+[2024-06-11 20:30:14,886 INFO] Epoch:2, Snapshot: 234; Loss: 0.7142
+[2024-06-11 20:30:15,778 INFO] Epoch:2, Snapshot: 235; Loss: 0.7028
+[2024-06-11 20:30:16,656 INFO] Epoch:2, Snapshot: 236; Loss: 0.6818
+[2024-06-11 20:30:17,544 INFO] Epoch:2, Snapshot: 237; Loss: 0.6852
+[2024-06-11 20:30:18,451 INFO] Epoch:2, Snapshot: 238; Loss: 0.6857
+[2024-06-11 20:30:19,374 INFO] Epoch:2, Snapshot: 239; Loss: 0.6840
+[2024-06-11 20:30:20,280 INFO] Epoch:2, Snapshot: 240; Loss: 0.6828
+[2024-06-11 20:30:21,170 INFO] Epoch:2, Snapshot: 241; Loss: 0.7121
+[2024-06-11 20:30:22,110 INFO] Epoch:2, Snapshot: 242; Loss: 0.7007
+[2024-06-11 20:30:23,030 INFO] Epoch:2, Snapshot: 243; Loss: 0.6824
+[2024-06-11 20:30:23,968 INFO] Epoch:2, Snapshot: 244; Loss: 0.6843
+[2024-06-11 20:30:24,868 INFO] Epoch:2, Snapshot: 245; Loss: 0.6838
+[2024-06-11 20:30:25,750 INFO] Epoch:2, Snapshot: 246; Loss: 0.6856
+[2024-06-11 20:30:26,672 INFO] Epoch:2, Snapshot: 247; Loss: 0.6815
+[2024-06-11 20:30:27,594 INFO] Epoch:2, Snapshot: 248; Loss: 0.6834
+[2024-06-11 20:30:28,500 INFO] Epoch:2, Snapshot: 249; Loss: 0.6846
+[2024-06-11 20:30:29,407 INFO] Epoch:2, Snapshot: 250; Loss: 0.7009
+[2024-06-11 20:30:30,314 INFO] Epoch:2, Snapshot: 251; Loss: 0.6899
+[2024-06-11 20:30:31,174 INFO] Epoch:2, Snapshot: 252; Loss: 0.6950
+[2024-06-11 20:30:32,049 INFO] Epoch:2, Snapshot: 253; Loss: 0.6969
+[2024-06-11 20:30:32,908 INFO] Epoch:2, Snapshot: 254; Loss: 0.6947
+[2024-06-11 20:30:33,768 INFO] Epoch:2, Snapshot: 255; Loss: 0.7085
+[2024-06-11 20:30:34,705 INFO] Epoch:2, Snapshot: 256; Loss: 0.7037
+[2024-06-11 20:30:35,596 INFO] Epoch:2, Snapshot: 257; Loss: 0.7225
+[2024-06-11 20:30:36,535 INFO] Epoch:2, Snapshot: 258; Loss: 0.6916
+[2024-06-11 20:30:37,394 INFO] Epoch:2, Snapshot: 259; Loss: 0.7265
+[2024-06-11 20:30:38,238 INFO] Epoch:2, Snapshot: 260; Loss: 0.7009
+[2024-06-11 20:30:39,067 INFO] Epoch:2, Snapshot: 261; Loss: 0.7009
+[2024-06-11 20:30:39,896 INFO] Epoch:2, Snapshot: 262; Loss: 0.6977
+[2024-06-11 20:30:40,708 INFO] Epoch:2, Snapshot: 263; Loss: 0.6964
+[2024-06-11 20:30:41,521 INFO] Epoch:2, Snapshot: 264; Loss: 0.7102
+[2024-06-11 20:30:42,364 INFO] Epoch:2, Snapshot: 265; Loss: 0.7468
+[2024-06-11 20:30:43,240 INFO] Epoch:2, Snapshot: 266; Loss: 0.7282
+[2024-06-11 20:30:44,068 INFO] Epoch:2, Snapshot: 267; Loss: 0.7278
+[2024-06-11 20:30:44,975 INFO] Epoch:2, Snapshot: 268; Loss: 0.7211
+[2024-06-11 20:30:45,804 INFO] Epoch:2, Snapshot: 269; Loss: 0.6950
+[2024-06-11 20:30:46,679 INFO] Epoch:2, Snapshot: 270; Loss: 0.6946
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+[2024-06-11 20:30:48,367 INFO] Epoch:2, Snapshot: 272; Loss: 0.7143
+[2024-06-11 20:30:49,196 INFO] Epoch:2, Snapshot: 273; Loss: 0.7067
+[2024-06-11 20:30:50,056 INFO] Epoch:2, Snapshot: 274; Loss: 0.6910
+[2024-06-11 20:30:50,915 INFO] Epoch:2, Snapshot: 275; Loss: 0.6933
+[2024-06-11 20:30:51,743 INFO] Epoch:2, Snapshot: 276; Loss: 0.6922
+[2024-06-11 20:30:52,571 INFO] Epoch:2, Snapshot: 277; Loss: 0.7055
+[2024-06-11 20:30:53,400 INFO] Epoch:2, Snapshot: 278; Loss: 0.6939
+[2024-06-11 20:30:54,260 INFO] Epoch:2, Snapshot: 279; Loss: 0.6892
+[2024-06-11 20:30:55,105 INFO] Epoch:2, Snapshot: 280; Loss: 0.6892
+[2024-06-11 20:30:55,918 INFO] Epoch:2, Snapshot: 281; Loss: 0.6894
+[2024-06-11 20:30:56,747 INFO] Epoch:2, Snapshot: 282; Loss: 0.6909
+[2024-06-11 20:30:57,590 INFO] Epoch:2, Snapshot: 283; Loss: 0.6884
+[2024-06-11 20:30:58,434 INFO] Epoch:2, Snapshot: 284; Loss: 0.6888
+[2024-06-11 20:30:59,310 INFO] Epoch:2, Snapshot: 285; Loss: 0.6915
+[2024-06-11 20:31:00,154 INFO] Epoch:2, Snapshot: 286; Loss: 0.6864
+[2024-06-11 20:31:00,967 INFO] Epoch:2, Snapshot: 287; Loss: 0.6873
+[2024-06-11 20:31:01,811 INFO] Epoch:2, Snapshot: 288; Loss: 0.6864
+[2024-06-11 20:31:02,687 INFO] Epoch:2, Snapshot: 289; Loss: 0.6860
+[2024-06-11 20:31:03,531 INFO] Epoch:2, Snapshot: 290; Loss: 0.6878
+[2024-06-11 20:31:04,360 INFO] Epoch:2, Snapshot: 291; Loss: 0.6871
+[2024-06-11 20:31:05,204 INFO] Epoch:2, Snapshot: 292; Loss: 0.6899
+[2024-06-11 20:31:06,080 INFO] Epoch:2, Snapshot: 293; Loss: 0.6885
+[2024-06-11 20:31:06,971 INFO] Epoch:2, Snapshot: 294; Loss: 0.6927
+[2024-06-11 20:31:07,799 INFO] Epoch:2, Snapshot: 295; Loss: 0.6920
+[2024-06-11 20:31:08,627 INFO] Epoch:2, Snapshot: 296; Loss: 0.6857
+[2024-06-11 20:31:09,486 INFO] Epoch:2, Snapshot: 297; Loss: 0.6842
+[2024-06-11 20:31:10,346 INFO] Epoch:2, Snapshot: 298; Loss: 0.6848
+[2024-06-11 20:31:11,159 INFO] Epoch:2, Snapshot: 299; Loss: 0.6859
+[2024-06-11 20:31:12,010 INFO] Epoch:2, Snapshot: 300; Loss: 0.6841
+[2024-06-11 20:31:12,846 INFO] Epoch:2, Snapshot: 301; Loss: 0.6850
+[2024-06-11 20:31:13,690 INFO] Epoch:2, Snapshot: 302; Loss: 0.6834
+[2024-06-11 20:31:14,534 INFO] Epoch:2, Snapshot: 303; Loss: 0.7013
+[2024-06-11 20:31:15,362 INFO] Epoch:2, Snapshot: 304; Loss: 0.7032
+[2024-06-11 20:31:16,190 INFO] Epoch:2, Snapshot: 305; Loss: 0.6900
+[2024-06-11 20:31:17,065 INFO] Epoch:2, Snapshot: 306; Loss: 0.6852
+[2024-06-11 20:31:17,909 INFO] Epoch:2, Snapshot: 307; Loss: 0.6862
+[2024-06-11 20:31:18,754 INFO] Epoch:2, Snapshot: 308; Loss: 0.6875
+[2024-06-11 20:31:19,597 INFO] Epoch:2, Snapshot: 309; Loss: 0.6826
+[2024-06-11 20:31:20,451 INFO] Epoch:2, Snapshot: 310; Loss: 0.7001
+[2024-06-11 20:31:21,285 INFO] Epoch:2, Snapshot: 311; Loss: 0.6903
+[2024-06-11 20:31:22,114 INFO] Epoch:2, Snapshot: 312; Loss: 0.6859
+[2024-06-11 20:31:22,957 INFO] Epoch:2, Snapshot: 313; Loss: 0.6854
+[2024-06-11 20:31:23,801 INFO] Epoch:2, Snapshot: 314; Loss: 0.6864
+[2024-06-11 20:31:24,661 INFO] Epoch:2, Snapshot: 315; Loss: 0.6821
+[2024-06-11 20:31:25,505 INFO] Epoch:2, Snapshot: 316; Loss: 0.6872
+[2024-06-11 20:31:26,368 INFO] Epoch:2, Snapshot: 317; Loss: 0.6855
+[2024-06-11 20:35:50,184 INFO] ==========================================================================================
+[2024-06-11 20:35:50,184 INFO] Epoch:2, Loss: 0.7015, Time: 554.843, GPU: 566.0MiB
+[2024-06-11 20:35:50,184 INFO] Epoch:2, Accuracy: 0.5153; F1: 0.0595; Recall: 0.0317; Precision: 0.9124; ROC AUC: 0.5157, Memory: 565.9653, time: 734.0139
+[2024-06-11 20:35:51,106 INFO] Epoch:3, Snapshot: 0; Loss: 0.8307
+[2024-06-11 20:35:52,122 INFO] Epoch:3, Snapshot: 1; Loss: 0.6915
+[2024-06-11 20:35:53,138 INFO] Epoch:3, Snapshot: 2; Loss: 0.6877
+[2024-06-11 20:35:54,294 INFO] Epoch:3, Snapshot: 3; Loss: 0.6869
+[2024-06-11 20:35:55,358 INFO] Epoch:3, Snapshot: 4; Loss: 0.6868
+[2024-06-11 20:35:56,420 INFO] Epoch:3, Snapshot: 5; Loss: 0.6864
+[2024-06-11 20:35:57,454 INFO] Epoch:3, Snapshot: 6; Loss: 0.6861
+[2024-06-11 20:35:58,472 INFO] Epoch:3, Snapshot: 7; Loss: 0.6858
+[2024-06-11 20:35:59,550 INFO] Epoch:3, Snapshot: 8; Loss: 0.6840
+[2024-06-11 20:36:00,629 INFO] Epoch:3, Snapshot: 9; Loss: 0.6846
+[2024-06-11 20:36:01,660 INFO] Epoch:3, Snapshot: 10; Loss: 0.6865
+[2024-06-11 20:36:02,643 INFO] Epoch:3, Snapshot: 11; Loss: 0.6848
+[2024-06-11 20:36:03,662 INFO] Epoch:3, Snapshot: 12; Loss: 0.6840
+[2024-06-11 20:36:04,709 INFO] Epoch:3, Snapshot: 13; Loss: 0.6827
+[2024-06-11 20:36:05,772 INFO] Epoch:3, Snapshot: 14; Loss: 0.6849
+[2024-06-11 20:36:06,788 INFO] Epoch:3, Snapshot: 15; Loss: 0.6838
+[2024-06-11 20:36:07,834 INFO] Epoch:3, Snapshot: 16; Loss: 0.6811
+[2024-06-11 20:36:08,913 INFO] Epoch:3, Snapshot: 17; Loss: 0.6891
+[2024-06-11 20:36:09,944 INFO] Epoch:3, Snapshot: 18; Loss: 0.6869
+[2024-06-11 20:36:10,866 INFO] Epoch:3, Snapshot: 19; Loss: 0.6869
+[2024-06-11 20:36:11,772 INFO] Epoch:3, Snapshot: 20; Loss: 0.6851
+[2024-06-11 20:36:12,710 INFO] Epoch:3, Snapshot: 21; Loss: 0.6960
+[2024-06-11 20:36:13,617 INFO] Epoch:3, Snapshot: 22; Loss: 0.6863
+[2024-06-11 20:36:14,539 INFO] Epoch:3, Snapshot: 23; Loss: 0.7006
+[2024-06-11 20:36:15,461 INFO] Epoch:3, Snapshot: 24; Loss: 0.6877
+[2024-06-11 20:36:16,383 INFO] Epoch:3, Snapshot: 25; Loss: 0.6845
+[2024-06-11 20:36:17,290 INFO] Epoch:3, Snapshot: 26; Loss: 0.6856
+[2024-06-11 20:36:18,212 INFO] Epoch:3, Snapshot: 27; Loss: 0.6842
+[2024-06-11 20:36:19,181 INFO] Epoch:3, Snapshot: 28; Loss: 0.6816
+[2024-06-11 20:36:20,118 INFO] Epoch:3, Snapshot: 29; Loss: 0.6924
+[2024-06-11 20:36:21,025 INFO] Epoch:3, Snapshot: 30; Loss: 0.6892
+[2024-06-11 20:36:21,973 INFO] Epoch:3, Snapshot: 31; Loss: 0.6835
+[2024-06-11 20:36:22,932 INFO] Epoch:3, Snapshot: 32; Loss: 0.6878
+[2024-06-11 20:36:23,917 INFO] Epoch:3, Snapshot: 33; Loss: 0.6935
+[2024-06-11 20:36:24,886 INFO] Epoch:3, Snapshot: 34; Loss: 0.6871
+[2024-06-11 20:36:25,839 INFO] Epoch:3, Snapshot: 35; Loss: 0.6915
+[2024-06-11 20:36:26,761 INFO] Epoch:3, Snapshot: 36; Loss: 0.7031
+[2024-06-11 20:36:27,683 INFO] Epoch:3, Snapshot: 37; Loss: 0.6878
+[2024-06-11 20:36:28,652 INFO] Epoch:3, Snapshot: 38; Loss: 0.7019
+[2024-06-11 20:36:29,621 INFO] Epoch:3, Snapshot: 39; Loss: 0.6872
+[2024-06-11 20:36:30,575 INFO] Epoch:3, Snapshot: 40; Loss: 0.6810
+[2024-06-11 20:36:31,514 INFO] Epoch:3, Snapshot: 41; Loss: 0.6809
+[2024-06-11 20:36:32,434 INFO] Epoch:3, Snapshot: 42; Loss: 0.6832
+[2024-06-11 20:36:33,403 INFO] Epoch:3, Snapshot: 43; Loss: 0.6839
+[2024-06-11 20:36:34,372 INFO] Epoch:3, Snapshot: 44; Loss: 0.6819
+[2024-06-11 20:36:35,342 INFO] Epoch:3, Snapshot: 45; Loss: 0.6880
+[2024-06-11 20:36:36,279 INFO] Epoch:3, Snapshot: 46; Loss: 0.7061
+[2024-06-11 20:36:37,232 INFO] Epoch:3, Snapshot: 47; Loss: 0.6857
+[2024-06-11 20:36:38,154 INFO] Epoch:3, Snapshot: 48; Loss: 0.6822
+[2024-06-11 20:36:39,092 INFO] Epoch:3, Snapshot: 49; Loss: 0.6829
+[2024-06-11 20:36:40,061 INFO] Epoch:3, Snapshot: 50; Loss: 0.6799
+[2024-06-11 20:36:41,046 INFO] Epoch:3, Snapshot: 51; Loss: 0.6823
+[2024-06-11 20:36:42,015 INFO] Epoch:3, Snapshot: 52; Loss: 0.6793
+[2024-06-11 20:36:42,999 INFO] Epoch:3, Snapshot: 53; Loss: 0.6805
+[2024-06-11 20:36:43,970 INFO] Epoch:3, Snapshot: 54; Loss: 0.7109
+[2024-06-11 20:36:44,907 INFO] Epoch:3, Snapshot: 55; Loss: 0.6884
+[2024-06-11 20:36:45,860 INFO] Epoch:3, Snapshot: 56; Loss: 0.6871
+[2024-06-11 20:36:46,829 INFO] Epoch:3, Snapshot: 57; Loss: 0.6820
+[2024-06-11 20:36:47,766 INFO] Epoch:3, Snapshot: 58; Loss: 0.6843
+[2024-06-11 20:36:48,735 INFO] Epoch:3, Snapshot: 59; Loss: 0.7086
+[2024-06-11 20:36:49,689 INFO] Epoch:3, Snapshot: 60; Loss: 0.6824
+[2024-06-11 20:36:50,642 INFO] Epoch:3, Snapshot: 61; Loss: 0.6818
+[2024-06-11 20:36:51,548 INFO] Epoch:3, Snapshot: 62; Loss: 0.6869
+[2024-06-11 20:36:52,471 INFO] Epoch:3, Snapshot: 63; Loss: 0.6809
+[2024-06-11 20:36:53,425 INFO] Epoch:3, Snapshot: 64; Loss: 0.6779
+[2024-06-11 20:36:54,393 INFO] Epoch:3, Snapshot: 65; Loss: 0.6809
+[2024-06-11 20:36:55,284 INFO] Epoch:3, Snapshot: 66; Loss: 0.6841
+[2024-06-11 20:36:56,190 INFO] Epoch:3, Snapshot: 67; Loss: 0.6796
+[2024-06-11 20:36:57,081 INFO] Epoch:3, Snapshot: 68; Loss: 0.6946
+[2024-06-11 20:36:57,957 INFO] Epoch:3, Snapshot: 69; Loss: 0.6825
+[2024-06-11 20:36:58,910 INFO] Epoch:3, Snapshot: 70; Loss: 0.6781
+[2024-06-11 20:36:59,847 INFO] Epoch:3, Snapshot: 71; Loss: 0.6825
+[2024-06-11 20:37:00,754 INFO] Epoch:3, Snapshot: 72; Loss: 0.6817
+[2024-06-11 20:37:01,676 INFO] Epoch:3, Snapshot: 73; Loss: 0.6786
+[2024-06-11 20:37:02,567 INFO] Epoch:3, Snapshot: 74; Loss: 0.6897
+[2024-06-11 20:37:03,521 INFO] Epoch:3, Snapshot: 75; Loss: 0.6805
+[2024-06-11 20:37:04,474 INFO] Epoch:3, Snapshot: 76; Loss: 0.6778
+[2024-06-11 20:37:05,411 INFO] Epoch:3, Snapshot: 77; Loss: 0.7036
+[2024-06-11 20:37:06,334 INFO] Epoch:3, Snapshot: 78; Loss: 0.6795
+[2024-06-11 20:37:07,240 INFO] Epoch:3, Snapshot: 79; Loss: 0.6823
+[2024-06-11 20:37:08,162 INFO] Epoch:3, Snapshot: 80; Loss: 0.6800
+[2024-06-11 20:37:09,085 INFO] Epoch:3, Snapshot: 81; Loss: 0.6814
+[2024-06-11 20:37:10,069 INFO] Epoch:3, Snapshot: 82; Loss: 0.6772
+[2024-06-11 20:37:11,009 INFO] Epoch:3, Snapshot: 83; Loss: 0.6860
+[2024-06-11 20:37:11,929 INFO] Epoch:3, Snapshot: 84; Loss: 0.6757
+[2024-06-11 20:37:12,835 INFO] Epoch:3, Snapshot: 85; Loss: 0.7059
+[2024-06-11 20:37:13,742 INFO] Epoch:3, Snapshot: 86; Loss: 0.6824
+[2024-06-11 20:37:14,633 INFO] Epoch:3, Snapshot: 87; Loss: 0.6828
+[2024-06-11 20:37:15,539 INFO] Epoch:3, Snapshot: 88; Loss: 0.6860
+[2024-06-11 20:37:16,476 INFO] Epoch:3, Snapshot: 89; Loss: 0.6769
+[2024-06-11 20:37:17,399 INFO] Epoch:3, Snapshot: 90; Loss: 0.6867
+[2024-06-11 20:37:18,306 INFO] Epoch:3, Snapshot: 91; Loss: 0.6824
+[2024-06-11 20:37:19,230 INFO] Epoch:3, Snapshot: 92; Loss: 0.6909
+[2024-06-11 20:37:20,165 INFO] Epoch:3, Snapshot: 93; Loss: 0.6795
+[2024-06-11 20:37:21,071 INFO] Epoch:3, Snapshot: 94; Loss: 0.6793
+[2024-06-11 20:37:22,024 INFO] Epoch:3, Snapshot: 95; Loss: 0.6799
+[2024-06-11 20:37:22,962 INFO] Epoch:3, Snapshot: 96; Loss: 0.6803
+[2024-06-11 20:37:23,887 INFO] Epoch:3, Snapshot: 97; Loss: 0.6804
+[2024-06-11 20:37:24,838 INFO] Epoch:3, Snapshot: 98; Loss: 0.6707
+[2024-06-11 20:37:25,885 INFO] Epoch:3, Snapshot: 99; Loss: 0.6930
+[2024-06-11 20:37:26,924 INFO] Epoch:3, Snapshot: 100; Loss: 0.6867
+[2024-06-11 20:37:27,955 INFO] Epoch:3, Snapshot: 101; Loss: 0.6793
+[2024-06-11 20:37:28,988 INFO] Epoch:3, Snapshot: 102; Loss: 0.7028
+[2024-06-11 20:37:29,904 INFO] Epoch:3, Snapshot: 103; Loss: 0.6815
+[2024-06-11 20:37:30,759 INFO] Epoch:3, Snapshot: 104; Loss: 0.6847
+[2024-06-11 20:37:31,671 INFO] Epoch:3, Snapshot: 105; Loss: 0.6999
+[2024-06-11 20:37:32,588 INFO] Epoch:3, Snapshot: 106; Loss: 0.6747
+[2024-06-11 20:37:33,504 INFO] Epoch:3, Snapshot: 107; Loss: 0.6785
+[2024-06-11 20:37:34,421 INFO] Epoch:3, Snapshot: 108; Loss: 0.6765
+[2024-06-11 20:37:35,380 INFO] Epoch:3, Snapshot: 109; Loss: 0.6814
+[2024-06-11 20:37:36,287 INFO] Epoch:3, Snapshot: 110; Loss: 0.6828
+[2024-06-11 20:37:37,630 INFO] Epoch:3, Snapshot: 111; Loss: 0.6750
+[2024-06-11 20:37:39,443 INFO] Epoch:3, Snapshot: 112; Loss: 0.6812
+[2024-06-11 20:37:41,506 INFO] Epoch:3, Snapshot: 113; Loss: 0.6783
+[2024-06-11 20:37:42,725 INFO] Epoch:3, Snapshot: 114; Loss: 0.6796
+[2024-06-11 20:37:44,604 INFO] Epoch:3, Snapshot: 115; Loss: 0.6967
+[2024-06-11 20:37:46,308 INFO] Epoch:3, Snapshot: 116; Loss: 0.6994
+[2024-06-11 20:37:48,002 INFO] Epoch:3, Snapshot: 117; Loss: 0.6794
+[2024-06-11 20:37:49,604 INFO] Epoch:3, Snapshot: 118; Loss: 0.6744
+[2024-06-11 20:37:51,385 INFO] Epoch:3, Snapshot: 119; Loss: 0.6785
+[2024-06-11 20:37:53,370 INFO] Epoch:3, Snapshot: 120; Loss: 0.7059
+[2024-06-11 20:37:54,543 INFO] Epoch:3, Snapshot: 121; Loss: 0.6790
+[2024-06-11 20:37:55,465 INFO] Epoch:3, Snapshot: 122; Loss: 0.6961
+[2024-06-11 20:37:56,388 INFO] Epoch:3, Snapshot: 123; Loss: 0.6757
+[2024-06-11 20:37:57,294 INFO] Epoch:3, Snapshot: 124; Loss: 0.6953
+[2024-06-11 20:37:58,216 INFO] Epoch:3, Snapshot: 125; Loss: 0.6809
+[2024-06-11 20:37:59,123 INFO] Epoch:3, Snapshot: 126; Loss: 0.6829
+[2024-06-11 20:38:00,014 INFO] Epoch:3, Snapshot: 127; Loss: 0.6809
+[2024-06-11 20:38:00,936 INFO] Epoch:3, Snapshot: 128; Loss: 0.6674
+[2024-06-11 20:38:01,858 INFO] Epoch:3, Snapshot: 129; Loss: 0.6819
+[2024-06-11 20:38:02,825 INFO] Epoch:3, Snapshot: 130; Loss: 0.6854
+[2024-06-11 20:38:03,732 INFO] Epoch:3, Snapshot: 131; Loss: 0.6770
+[2024-06-11 20:38:04,639 INFO] Epoch:3, Snapshot: 132; Loss: 0.6801
+[2024-06-11 20:38:05,592 INFO] Epoch:3, Snapshot: 133; Loss: 0.6690
+[2024-06-11 20:38:06,530 INFO] Epoch:3, Snapshot: 134; Loss: 0.6917
+[2024-06-11 20:38:07,453 INFO] Epoch:3, Snapshot: 135; Loss: 0.6759
+[2024-06-11 20:38:08,389 INFO] Epoch:3, Snapshot: 136; Loss: 0.6730
+[2024-06-11 20:38:09,281 INFO] Epoch:3, Snapshot: 137; Loss: 0.6719
+[2024-06-11 20:38:10,204 INFO] Epoch:3, Snapshot: 138; Loss: 0.6816
+[2024-06-11 20:38:11,132 INFO] Epoch:3, Snapshot: 139; Loss: 0.6929
+[2024-06-11 20:38:12,073 INFO] Epoch:3, Snapshot: 140; Loss: 0.7183
+[2024-06-11 20:38:13,000 INFO] Epoch:3, Snapshot: 141; Loss: 0.6741
+[2024-06-11 20:38:13,920 INFO] Epoch:3, Snapshot: 142; Loss: 0.6801
+[2024-06-11 20:38:14,849 INFO] Epoch:3, Snapshot: 143; Loss: 0.6828
+[2024-06-11 20:38:15,813 INFO] Epoch:3, Snapshot: 144; Loss: 0.6814
+[2024-06-11 20:38:17,662 INFO] Epoch:3, Snapshot: 145; Loss: 0.6836
+[2024-06-11 20:38:19,403 INFO] Epoch:3, Snapshot: 146; Loss: 0.6971
+[2024-06-11 20:38:21,417 INFO] Epoch:3, Snapshot: 147; Loss: 0.6721
+[2024-06-11 20:38:23,323 INFO] Epoch:3, Snapshot: 148; Loss: 0.6742
+[2024-06-11 20:38:25,199 INFO] Epoch:3, Snapshot: 149; Loss: 0.6749
+[2024-06-11 20:38:26,652 INFO] Epoch:3, Snapshot: 150; Loss: 0.7017
+[2024-06-11 20:38:28,563 INFO] Epoch:3, Snapshot: 151; Loss: 0.6698
+[2024-06-11 20:38:30,747 INFO] Epoch:3, Snapshot: 152; Loss: 0.6803
+[2024-06-11 20:38:32,716 INFO] Epoch:3, Snapshot: 153; Loss: 0.6742
+[2024-06-11 20:38:34,669 INFO] Epoch:3, Snapshot: 154; Loss: 0.6869
+[2024-06-11 20:38:36,826 INFO] Epoch:3, Snapshot: 155; Loss: 0.6817
+[2024-06-11 20:38:38,952 INFO] Epoch:3, Snapshot: 156; Loss: 0.6899
+[2024-06-11 20:38:41,093 INFO] Epoch:3, Snapshot: 157; Loss: 0.6750
+[2024-06-11 20:38:42,640 INFO] Epoch:3, Snapshot: 158; Loss: 0.6854
+[2024-06-11 20:38:44,344 INFO] Epoch:3, Snapshot: 159; Loss: 0.6825
+[2024-06-11 20:38:46,251 INFO] Epoch:3, Snapshot: 160; Loss: 0.6694
+[2024-06-11 20:38:48,329 INFO] Epoch:3, Snapshot: 161; Loss: 0.6851
+[2024-06-11 20:38:49,908 INFO] Epoch:3, Snapshot: 162; Loss: 0.6811
+[2024-06-11 20:38:51,658 INFO] Epoch:3, Snapshot: 163; Loss: 0.6841
+[2024-06-11 20:38:53,534 INFO] Epoch:3, Snapshot: 164; Loss: 0.6770
+[2024-06-11 20:38:54,815 INFO] Epoch:3, Snapshot: 165; Loss: 0.6762
+[2024-06-11 20:38:55,723 INFO] Epoch:3, Snapshot: 166; Loss: 0.6768
+[2024-06-11 20:38:56,614 INFO] Epoch:3, Snapshot: 167; Loss: 0.6872
+[2024-06-11 20:38:57,521 INFO] Epoch:3, Snapshot: 168; Loss: 0.6792
+[2024-06-11 20:38:58,414 INFO] Epoch:3, Snapshot: 169; Loss: 0.6792
+[2024-06-11 20:38:59,350 INFO] Epoch:3, Snapshot: 170; Loss: 0.6852
+[2024-06-11 20:39:00,288 INFO] Epoch:3, Snapshot: 171; Loss: 0.6960
+[2024-06-11 20:39:01,210 INFO] Epoch:3, Snapshot: 172; Loss: 0.6641
+[2024-06-11 20:39:02,132 INFO] Epoch:3, Snapshot: 173; Loss: 0.6733
+[2024-06-11 20:39:03,055 INFO] Epoch:3, Snapshot: 174; Loss: 0.6744
+[2024-06-11 20:39:03,976 INFO] Epoch:3, Snapshot: 175; Loss: 0.6866
+[2024-06-11 20:39:04,867 INFO] Epoch:3, Snapshot: 176; Loss: 0.6759
+[2024-06-11 20:39:05,743 INFO] Epoch:3, Snapshot: 177; Loss: 0.6804
+[2024-06-11 20:39:06,665 INFO] Epoch:3, Snapshot: 178; Loss: 0.6752
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+[2024-06-11 20:39:46,001 INFO] Epoch:3, Snapshot: 221; Loss: 0.6789
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+[2024-06-11 20:39:48,690 INFO] Epoch:3, Snapshot: 224; Loss: 0.6677
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+[2024-06-11 20:39:57,755 INFO] Epoch:3, Snapshot: 234; Loss: 0.6760
+[2024-06-11 20:39:58,678 INFO] Epoch:3, Snapshot: 235; Loss: 0.6729
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+[2024-06-11 20:40:01,382 INFO] Epoch:3, Snapshot: 238; Loss: 0.6573
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+[2024-06-11 20:40:04,179 INFO] Epoch:3, Snapshot: 241; Loss: 0.6803
+[2024-06-11 20:40:05,070 INFO] Epoch:3, Snapshot: 242; Loss: 0.6908
+[2024-06-11 20:40:05,976 INFO] Epoch:3, Snapshot: 243; Loss: 0.6606
+[2024-06-11 20:40:06,867 INFO] Epoch:3, Snapshot: 244; Loss: 0.6646
+[2024-06-11 20:40:07,805 INFO] Epoch:3, Snapshot: 245; Loss: 0.6647
+[2024-06-11 20:40:08,759 INFO] Epoch:3, Snapshot: 246; Loss: 0.6817
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+[2024-06-11 20:40:10,572 INFO] Epoch:3, Snapshot: 248; Loss: 0.6723
+[2024-06-11 20:40:11,479 INFO] Epoch:3, Snapshot: 249; Loss: 0.6803
+[2024-06-11 20:40:12,417 INFO] Epoch:3, Snapshot: 250; Loss: 0.6966
+[2024-06-11 20:40:13,370 INFO] Epoch:3, Snapshot: 251; Loss: 0.6679
+[2024-06-11 20:40:14,214 INFO] Epoch:3, Snapshot: 252; Loss: 0.7111
+[2024-06-11 20:40:15,089 INFO] Epoch:3, Snapshot: 253; Loss: 0.7142
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+[2024-06-11 20:40:16,777 INFO] Epoch:3, Snapshot: 255; Loss: 0.6882
+[2024-06-11 20:40:17,699 INFO] Epoch:3, Snapshot: 256; Loss: 0.6924
+[2024-06-11 20:40:18,590 INFO] Epoch:3, Snapshot: 257; Loss: 0.6833
+[2024-06-11 20:40:19,497 INFO] Epoch:3, Snapshot: 258; Loss: 0.6843
+[2024-06-11 20:40:20,372 INFO] Epoch:3, Snapshot: 259; Loss: 0.7121
+[2024-06-11 20:40:21,185 INFO] Epoch:3, Snapshot: 260; Loss: 0.7207
+[2024-06-11 20:40:22,028 INFO] Epoch:3, Snapshot: 261; Loss: 0.7231
+[2024-06-11 20:40:22,856 INFO] Epoch:3, Snapshot: 262; Loss: 0.7120
+[2024-06-11 20:40:23,701 INFO] Epoch:3, Snapshot: 263; Loss: 0.7055
+[2024-06-11 20:40:24,530 INFO] Epoch:3, Snapshot: 264; Loss: 0.7124
+[2024-06-11 20:40:25,359 INFO] Epoch:3, Snapshot: 265; Loss: 0.7143
+[2024-06-11 20:40:26,187 INFO] Epoch:3, Snapshot: 266; Loss: 0.7071
+[2024-06-11 20:40:27,046 INFO] Epoch:3, Snapshot: 267; Loss: 0.7005
+[2024-06-11 20:40:27,890 INFO] Epoch:3, Snapshot: 268; Loss: 0.7021
+[2024-06-11 20:40:28,765 INFO] Epoch:3, Snapshot: 269; Loss: 0.6991
+[2024-06-11 20:40:29,593 INFO] Epoch:3, Snapshot: 270; Loss: 0.6882
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+[2024-06-11 20:40:31,280 INFO] Epoch:3, Snapshot: 272; Loss: 0.6871
+[2024-06-11 20:40:32,140 INFO] Epoch:3, Snapshot: 273; Loss: 0.6814
+[2024-06-11 20:40:32,968 INFO] Epoch:3, Snapshot: 274; Loss: 0.6792
+[2024-06-11 20:40:33,780 INFO] Epoch:3, Snapshot: 275; Loss: 0.6780
+[2024-06-11 20:40:34,609 INFO] Epoch:3, Snapshot: 276; Loss: 0.6879
+[2024-06-11 20:40:35,484 INFO] Epoch:3, Snapshot: 277; Loss: 0.6874
+[2024-06-11 20:40:36,344 INFO] Epoch:3, Snapshot: 278; Loss: 0.6787
+[2024-06-11 20:40:37,188 INFO] Epoch:3, Snapshot: 279; Loss: 0.6797
+[2024-06-11 20:40:38,017 INFO] Epoch:3, Snapshot: 280; Loss: 0.6757
+[2024-06-11 20:40:38,876 INFO] Epoch:3, Snapshot: 281; Loss: 0.6736
+[2024-06-11 20:40:39,735 INFO] Epoch:3, Snapshot: 282; Loss: 0.6772
+[2024-06-11 20:40:40,579 INFO] Epoch:3, Snapshot: 283; Loss: 0.6719
+[2024-06-11 20:40:41,423 INFO] Epoch:3, Snapshot: 284; Loss: 0.6869
+[2024-06-11 20:40:42,267 INFO] Epoch:3, Snapshot: 285; Loss: 0.6676
+[2024-06-11 20:40:43,095 INFO] Epoch:3, Snapshot: 286; Loss: 0.6749
+[2024-06-11 20:40:43,954 INFO] Epoch:3, Snapshot: 287; Loss: 0.6687
+[2024-06-11 20:40:44,783 INFO] Epoch:3, Snapshot: 288; Loss: 0.6747
+[2024-06-11 20:40:45,626 INFO] Epoch:3, Snapshot: 289; Loss: 0.6770
+[2024-06-11 20:40:46,501 INFO] Epoch:3, Snapshot: 290; Loss: 0.6797
+[2024-06-11 20:40:47,346 INFO] Epoch:3, Snapshot: 291; Loss: 0.6918
+[2024-06-11 20:40:48,174 INFO] Epoch:3, Snapshot: 292; Loss: 0.6724
+[2024-06-11 20:40:49,002 INFO] Epoch:3, Snapshot: 293; Loss: 0.6783
+[2024-06-11 20:40:49,832 INFO] Epoch:3, Snapshot: 294; Loss: 0.6764
+[2024-06-11 20:40:50,707 INFO] Epoch:3, Snapshot: 295; Loss: 0.6766
+[2024-06-11 20:40:51,567 INFO] Epoch:3, Snapshot: 296; Loss: 0.6728
+[2024-06-11 20:40:52,410 INFO] Epoch:3, Snapshot: 297; Loss: 0.6704
+[2024-06-11 20:40:53,270 INFO] Epoch:3, Snapshot: 298; Loss: 0.6753
+[2024-06-11 20:40:54,099 INFO] Epoch:3, Snapshot: 299; Loss: 0.6669
+[2024-06-11 20:40:54,928 INFO] Epoch:3, Snapshot: 300; Loss: 0.6711
+[2024-06-11 20:40:55,803 INFO] Epoch:3, Snapshot: 301; Loss: 0.6776
+[2024-06-11 20:40:56,663 INFO] Epoch:3, Snapshot: 302; Loss: 0.6661
+[2024-06-11 20:40:57,543 INFO] Epoch:3, Snapshot: 303; Loss: 0.6653
+[2024-06-11 20:40:58,397 INFO] Epoch:3, Snapshot: 304; Loss: 0.6642
+[2024-06-11 20:40:59,226 INFO] Epoch:3, Snapshot: 305; Loss: 0.6682
+[2024-06-11 20:41:00,070 INFO] Epoch:3, Snapshot: 306; Loss: 0.6947
+[2024-06-11 20:41:00,945 INFO] Epoch:3, Snapshot: 307; Loss: 0.6623
+[2024-06-11 20:41:01,789 INFO] Epoch:3, Snapshot: 308; Loss: 0.6942
+[2024-06-11 20:41:02,632 INFO] Epoch:3, Snapshot: 309; Loss: 0.6604
+[2024-06-11 20:41:03,476 INFO] Epoch:3, Snapshot: 310; Loss: 0.6642
+[2024-06-11 20:41:04,321 INFO] Epoch:3, Snapshot: 311; Loss: 0.6705
+[2024-06-11 20:41:05,166 INFO] Epoch:3, Snapshot: 312; Loss: 0.6716
+[2024-06-11 20:41:05,994 INFO] Epoch:3, Snapshot: 313; Loss: 0.6747
+[2024-06-11 20:41:06,819 INFO] Epoch:3, Snapshot: 314; Loss: 0.6731
+[2024-06-11 20:41:07,683 INFO] Epoch:3, Snapshot: 315; Loss: 0.6781
+[2024-06-11 20:41:08,542 INFO] Epoch:3, Snapshot: 316; Loss: 0.6754
+[2024-06-11 20:41:09,386 INFO] Epoch:3, Snapshot: 317; Loss: 0.6712
+[2024-06-11 20:45:30,860 INFO] ==========================================================================================
+[2024-06-11 20:45:30,860 INFO] Epoch:3, Loss: 0.6831, Time: 580.676, GPU: 566.0MiB
+[2024-06-11 20:45:30,860 INFO] Epoch:3, Accuracy: 0.7872; F1: 0.8230; Recall: 0.9042; Precision: 0.7741; ROC AUC: 0.7868, Memory: 565.9653, time: 727.4577
+[2024-06-11 20:45:31,736 INFO] Epoch:4, Snapshot: 0; Loss: 0.8327
+[2024-06-11 20:45:32,798 INFO] Epoch:4, Snapshot: 1; Loss: 0.7080
+[2024-06-11 20:45:33,861 INFO] Epoch:4, Snapshot: 2; Loss: 0.6835
+[2024-06-11 20:45:34,956 INFO] Epoch:4, Snapshot: 3; Loss: 0.6843
+[2024-06-11 20:45:35,956 INFO] Epoch:4, Snapshot: 4; Loss: 0.6788
+[2024-06-11 20:45:37,019 INFO] Epoch:4, Snapshot: 5; Loss: 0.6806
+[2024-06-11 20:45:38,066 INFO] Epoch:4, Snapshot: 6; Loss: 0.6794
+[2024-06-11 20:45:39,128 INFO] Epoch:4, Snapshot: 7; Loss: 0.6845
+[2024-06-11 20:45:40,191 INFO] Epoch:4, Snapshot: 8; Loss: 0.6732
+[2024-06-11 20:45:41,226 INFO] Epoch:4, Snapshot: 9; Loss: 0.6815
+[2024-06-11 20:45:42,365 INFO] Epoch:4, Snapshot: 10; Loss: 0.6746
+[2024-06-11 20:45:43,364 INFO] Epoch:4, Snapshot: 11; Loss: 0.6727
+[2024-06-11 20:45:44,420 INFO] Epoch:4, Snapshot: 12; Loss: 0.6820
+[2024-06-11 20:45:45,465 INFO] Epoch:4, Snapshot: 13; Loss: 0.6794
+[2024-06-11 20:45:46,502 INFO] Epoch:4, Snapshot: 14; Loss: 0.6692
+[2024-06-11 20:45:47,531 INFO] Epoch:4, Snapshot: 15; Loss: 0.6755
+[2024-06-11 20:45:48,578 INFO] Epoch:4, Snapshot: 16; Loss: 0.6620
+[2024-06-11 20:45:49,703 INFO] Epoch:4, Snapshot: 17; Loss: 0.6663
+[2024-06-11 20:45:52,171 INFO] Epoch:4, Snapshot: 18; Loss: 0.6643
+[2024-06-11 20:45:54,163 INFO] Epoch:4, Snapshot: 19; Loss: 0.6779
+[2024-06-11 20:45:56,117 INFO] Epoch:4, Snapshot: 20; Loss: 0.6820
+[2024-06-11 20:45:57,070 INFO] Epoch:4, Snapshot: 21; Loss: 0.6870
+[2024-06-11 20:45:57,969 INFO] Epoch:4, Snapshot: 22; Loss: 0.6875
+[2024-06-11 20:45:58,892 INFO] Epoch:4, Snapshot: 23; Loss: 0.6672
+[2024-06-11 20:45:59,786 INFO] Epoch:4, Snapshot: 24; Loss: 0.6704
+[2024-06-11 20:46:00,719 INFO] Epoch:4, Snapshot: 25; Loss: 0.6721
+[2024-06-11 20:46:01,617 INFO] Epoch:4, Snapshot: 26; Loss: 0.6770
+[2024-06-11 20:46:02,530 INFO] Epoch:4, Snapshot: 27; Loss: 0.6746
+[2024-06-11 20:46:03,484 INFO] Epoch:4, Snapshot: 28; Loss: 0.6863
+[2024-06-11 20:46:04,452 INFO] Epoch:4, Snapshot: 29; Loss: 0.6732
+[2024-06-11 20:46:05,327 INFO] Epoch:4, Snapshot: 30; Loss: 0.6923
+[2024-06-11 20:46:06,233 INFO] Epoch:4, Snapshot: 31; Loss: 0.6784
+[2024-06-11 20:46:07,187 INFO] Epoch:4, Snapshot: 32; Loss: 0.6795
+[2024-06-11 20:46:08,144 INFO] Epoch:4, Snapshot: 33; Loss: 0.6861
+[2024-06-11 20:46:09,047 INFO] Epoch:4, Snapshot: 34; Loss: 0.6768
+[2024-06-11 20:46:09,972 INFO] Epoch:4, Snapshot: 35; Loss: 0.6809
+[2024-06-11 20:46:10,944 INFO] Epoch:4, Snapshot: 36; Loss: 0.6962
+[2024-06-11 20:46:11,932 INFO] Epoch:4, Snapshot: 37; Loss: 0.6552
+[2024-06-11 20:46:12,873 INFO] Epoch:4, Snapshot: 38; Loss: 0.6764
+[2024-06-11 20:46:13,799 INFO] Epoch:4, Snapshot: 39; Loss: 0.7123
+[2024-06-11 20:46:14,755 INFO] Epoch:4, Snapshot: 40; Loss: 0.6767
+[2024-06-11 20:46:15,697 INFO] Epoch:4, Snapshot: 41; Loss: 0.6620
+[2024-06-11 20:46:16,696 INFO] Epoch:4, Snapshot: 42; Loss: 0.6763
+[2024-06-11 20:46:17,642 INFO] Epoch:4, Snapshot: 43; Loss: 0.6777
+[2024-06-11 20:46:18,583 INFO] Epoch:4, Snapshot: 44; Loss: 0.6845
+[2024-06-11 20:46:19,490 INFO] Epoch:4, Snapshot: 45; Loss: 0.6859
+[2024-06-11 20:46:20,412 INFO] Epoch:4, Snapshot: 46; Loss: 0.6814
+[2024-06-11 20:46:21,365 INFO] Epoch:4, Snapshot: 47; Loss: 0.7006
+[2024-06-11 20:46:22,319 INFO] Epoch:4, Snapshot: 48; Loss: 0.6643
+[2024-06-11 20:46:23,324 INFO] Epoch:4, Snapshot: 49; Loss: 0.6805
+[2024-06-11 20:46:24,350 INFO] Epoch:4, Snapshot: 50; Loss: 0.6594
+[2024-06-11 20:46:25,366 INFO] Epoch:4, Snapshot: 51; Loss: 0.6761
+[2024-06-11 20:46:26,351 INFO] Epoch:4, Snapshot: 52; Loss: 0.7228
+[2024-06-11 20:46:27,335 INFO] Epoch:4, Snapshot: 53; Loss: 0.6408
+[2024-06-11 20:46:28,273 INFO] Epoch:4, Snapshot: 54; Loss: 0.6828
+[2024-06-11 20:46:29,248 INFO] Epoch:4, Snapshot: 55; Loss: 0.6664
+[2024-06-11 20:46:30,148 INFO] Epoch:4, Snapshot: 56; Loss: 0.6914
+[2024-06-11 20:46:31,101 INFO] Epoch:4, Snapshot: 57; Loss: 0.6645
+[2024-06-11 20:46:32,070 INFO] Epoch:4, Snapshot: 58; Loss: 0.7124
+[2024-06-11 20:46:33,054 INFO] Epoch:4, Snapshot: 59; Loss: 0.6529
+[2024-06-11 20:46:33,992 INFO] Epoch:4, Snapshot: 60; Loss: 0.6714
+[2024-06-11 20:46:34,929 INFO] Epoch:4, Snapshot: 61; Loss: 0.7087
+[2024-06-11 20:46:35,898 INFO] Epoch:4, Snapshot: 62; Loss: 0.6534
+[2024-06-11 20:46:36,852 INFO] Epoch:4, Snapshot: 63; Loss: 0.6747
+[2024-06-11 20:46:37,789 INFO] Epoch:4, Snapshot: 64; Loss: 0.7011
+[2024-06-11 20:46:38,711 INFO] Epoch:4, Snapshot: 65; Loss: 0.6520
+[2024-06-11 20:46:39,587 INFO] Epoch:4, Snapshot: 66; Loss: 0.6808
+[2024-06-11 20:46:40,493 INFO] Epoch:4, Snapshot: 67; Loss: 0.6782
+[2024-06-11 20:46:41,431 INFO] Epoch:4, Snapshot: 68; Loss: 0.6746
+[2024-06-11 20:46:42,353 INFO] Epoch:4, Snapshot: 69; Loss: 0.6814
+[2024-06-11 20:46:43,244 INFO] Epoch:4, Snapshot: 70; Loss: 0.6709
+[2024-06-11 20:46:44,136 INFO] Epoch:4, Snapshot: 71; Loss: 0.6836
+[2024-06-11 20:46:45,027 INFO] Epoch:4, Snapshot: 72; Loss: 0.6582
+[2024-06-11 20:46:45,949 INFO] Epoch:4, Snapshot: 73; Loss: 0.6720
+[2024-06-11 20:46:46,888 INFO] Epoch:4, Snapshot: 74; Loss: 0.6653
+[2024-06-11 20:46:47,827 INFO] Epoch:4, Snapshot: 75; Loss: 0.6831
+[2024-06-11 20:46:48,733 INFO] Epoch:4, Snapshot: 76; Loss: 0.6624
+[2024-06-11 20:46:49,624 INFO] Epoch:4, Snapshot: 77; Loss: 0.6650
+[2024-06-11 20:46:50,577 INFO] Epoch:4, Snapshot: 78; Loss: 0.6677
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+[2024-06-11 20:46:52,468 INFO] Epoch:4, Snapshot: 80; Loss: 0.6831
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+[2024-06-11 20:46:55,188 INFO] Epoch:4, Snapshot: 83; Loss: 0.6683
+[2024-06-11 20:46:56,110 INFO] Epoch:4, Snapshot: 84; Loss: 0.6634
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+[2024-06-11 20:46:57,939 INFO] Epoch:4, Snapshot: 86; Loss: 0.6782
+[2024-06-11 20:46:58,888 INFO] Epoch:4, Snapshot: 87; Loss: 0.6850
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+[2024-06-11 20:47:00,721 INFO] Epoch:4, Snapshot: 89; Loss: 0.7047
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+[2024-06-11 20:47:02,518 INFO] Epoch:4, Snapshot: 91; Loss: 0.6950
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+[2024-06-11 20:47:08,020 INFO] Epoch:4, Snapshot: 97; Loss: 0.7125
+[2024-06-11 20:47:08,958 INFO] Epoch:4, Snapshot: 98; Loss: 0.6683
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+[2024-06-11 20:47:10,800 INFO] Epoch:4, Snapshot: 100; Loss: 0.6512
+[2024-06-11 20:47:11,691 INFO] Epoch:4, Snapshot: 101; Loss: 0.6830
+[2024-06-11 20:47:12,551 INFO] Epoch:4, Snapshot: 102; Loss: 0.6824
+[2024-06-11 20:47:13,458 INFO] Epoch:4, Snapshot: 103; Loss: 0.6719
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+[2024-06-11 20:47:15,272 INFO] Epoch:4, Snapshot: 105; Loss: 0.6603
+[2024-06-11 20:47:16,210 INFO] Epoch:4, Snapshot: 106; Loss: 0.6437
+[2024-06-11 20:47:17,101 INFO] Epoch:4, Snapshot: 107; Loss: 0.6598
+[2024-06-11 20:47:17,992 INFO] Epoch:4, Snapshot: 108; Loss: 0.7095
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+[2024-06-11 20:47:19,868 INFO] Epoch:4, Snapshot: 110; Loss: 0.6737
+[2024-06-11 20:47:20,806 INFO] Epoch:4, Snapshot: 111; Loss: 0.6671
+[2024-06-11 20:47:21,712 INFO] Epoch:4, Snapshot: 112; Loss: 0.7018
+[2024-06-11 20:47:22,602 INFO] Epoch:4, Snapshot: 113; Loss: 0.7165
+[2024-06-11 20:47:23,540 INFO] Epoch:4, Snapshot: 114; Loss: 0.6276
+[2024-06-11 20:47:24,464 INFO] Epoch:4, Snapshot: 115; Loss: 0.6675
+[2024-06-11 20:47:25,369 INFO] Epoch:4, Snapshot: 116; Loss: 0.6826
+[2024-06-11 20:47:26,244 INFO] Epoch:4, Snapshot: 117; Loss: 0.6839
+[2024-06-11 20:47:27,135 INFO] Epoch:4, Snapshot: 118; Loss: 0.6531
+[2024-06-11 20:47:28,028 INFO] Epoch:4, Snapshot: 119; Loss: 0.6664
+[2024-06-11 20:47:28,933 INFO] Epoch:4, Snapshot: 120; Loss: 0.6823
+[2024-06-11 20:47:29,824 INFO] Epoch:4, Snapshot: 121; Loss: 0.6832
+[2024-06-11 20:47:30,731 INFO] Epoch:4, Snapshot: 122; Loss: 0.6896
+[2024-06-11 20:47:31,668 INFO] Epoch:4, Snapshot: 123; Loss: 0.6621
+[2024-06-11 20:47:32,590 INFO] Epoch:4, Snapshot: 124; Loss: 0.6832
+[2024-06-11 20:47:33,482 INFO] Epoch:4, Snapshot: 125; Loss: 0.6602
+[2024-06-11 20:47:34,404 INFO] Epoch:4, Snapshot: 126; Loss: 0.6737
+[2024-06-11 20:47:35,280 INFO] Epoch:4, Snapshot: 127; Loss: 0.6887
+[2024-06-11 20:47:36,202 INFO] Epoch:4, Snapshot: 128; Loss: 0.6288
+[2024-06-11 20:47:37,124 INFO] Epoch:4, Snapshot: 129; Loss: 0.6880
+[2024-06-11 20:47:38,109 INFO] Epoch:4, Snapshot: 130; Loss: 0.6545
+[2024-06-11 20:47:39,063 INFO] Epoch:4, Snapshot: 131; Loss: 0.7006
+[2024-06-11 20:47:39,984 INFO] Epoch:4, Snapshot: 132; Loss: 0.6406
+[2024-06-11 20:47:40,906 INFO] Epoch:4, Snapshot: 133; Loss: 0.6924
+[2024-06-11 20:47:41,814 INFO] Epoch:4, Snapshot: 134; Loss: 0.6358
+[2024-06-11 20:47:42,705 INFO] Epoch:4, Snapshot: 135; Loss: 0.7017
+[2024-06-11 20:47:43,612 INFO] Epoch:4, Snapshot: 136; Loss: 0.6357
+[2024-06-11 20:47:44,518 INFO] Epoch:4, Snapshot: 137; Loss: 0.6518
+[2024-06-11 20:47:45,455 INFO] Epoch:4, Snapshot: 138; Loss: 0.6720
+[2024-06-11 20:47:46,362 INFO] Epoch:4, Snapshot: 139; Loss: 0.7015
+[2024-06-11 20:47:47,315 INFO] Epoch:4, Snapshot: 140; Loss: 0.6745
+[2024-06-11 20:47:48,223 INFO] Epoch:4, Snapshot: 141; Loss: 0.6723
+[2024-06-11 20:47:49,114 INFO] Epoch:4, Snapshot: 142; Loss: 0.6591
+[2024-06-11 20:47:50,020 INFO] Epoch:4, Snapshot: 143; Loss: 0.6759
+[2024-06-11 20:47:50,973 INFO] Epoch:4, Snapshot: 144; Loss: 0.6872
+[2024-06-11 20:47:51,895 INFO] Epoch:4, Snapshot: 145; Loss: 0.6674
+[2024-06-11 20:47:52,849 INFO] Epoch:4, Snapshot: 146; Loss: 0.6480
+[2024-06-11 20:47:53,741 INFO] Epoch:4, Snapshot: 147; Loss: 0.6901
+[2024-06-11 20:47:54,631 INFO] Epoch:4, Snapshot: 148; Loss: 0.6526
+[2024-06-11 20:47:55,522 INFO] Epoch:4, Snapshot: 149; Loss: 0.6634
+[2024-06-11 20:47:56,444 INFO] Epoch:4, Snapshot: 150; Loss: 0.6651
+[2024-06-11 20:47:57,386 INFO] Epoch:4, Snapshot: 151; Loss: 0.6908
+[2024-06-11 20:47:58,288 INFO] Epoch:4, Snapshot: 152; Loss: 0.6434
+[2024-06-11 20:47:59,210 INFO] Epoch:4, Snapshot: 153; Loss: 0.6679
+[2024-06-11 20:48:00,117 INFO] Epoch:4, Snapshot: 154; Loss: 0.6811
+[2024-06-11 20:48:01,023 INFO] Epoch:4, Snapshot: 155; Loss: 0.6775
+[2024-06-11 20:48:01,960 INFO] Epoch:4, Snapshot: 156; Loss: 0.6845
+[2024-06-11 20:48:02,882 INFO] Epoch:4, Snapshot: 157; Loss: 0.6709
+[2024-06-11 20:48:03,789 INFO] Epoch:4, Snapshot: 158; Loss: 0.6753
+[2024-06-11 20:48:04,664 INFO] Epoch:4, Snapshot: 159; Loss: 0.6784
+[2024-06-11 20:48:05,571 INFO] Epoch:4, Snapshot: 160; Loss: 0.6623
+[2024-06-11 20:48:06,477 INFO] Epoch:4, Snapshot: 161; Loss: 0.6791
+[2024-06-11 20:48:07,369 INFO] Epoch:4, Snapshot: 162; Loss: 0.6840
+[2024-06-11 20:48:08,259 INFO] Epoch:4, Snapshot: 163; Loss: 0.6868
+[2024-06-11 20:48:09,151 INFO] Epoch:4, Snapshot: 164; Loss: 0.6812
+[2024-06-11 20:48:10,073 INFO] Epoch:4, Snapshot: 165; Loss: 0.6453
+[2024-06-11 20:48:10,995 INFO] Epoch:4, Snapshot: 166; Loss: 0.6552
+[2024-06-11 20:48:11,902 INFO] Epoch:4, Snapshot: 167; Loss: 0.7101
+[2024-06-11 20:48:12,809 INFO] Epoch:4, Snapshot: 168; Loss: 0.6392
+[2024-06-11 20:48:13,749 INFO] Epoch:4, Snapshot: 169; Loss: 0.6672
+[2024-06-11 20:48:14,669 INFO] Epoch:4, Snapshot: 170; Loss: 0.6517
+[2024-06-11 20:48:15,591 INFO] Epoch:4, Snapshot: 171; Loss: 0.6620
+[2024-06-11 20:48:16,528 INFO] Epoch:4, Snapshot: 172; Loss: 0.6667
+[2024-06-11 20:48:17,450 INFO] Epoch:4, Snapshot: 173; Loss: 0.6436
+[2024-06-11 20:48:18,373 INFO] Epoch:4, Snapshot: 174; Loss: 0.6580
+[2024-06-11 20:48:19,280 INFO] Epoch:4, Snapshot: 175; Loss: 0.6823
+[2024-06-11 20:48:20,171 INFO] Epoch:4, Snapshot: 176; Loss: 0.6979
+[2024-06-11 20:48:21,046 INFO] Epoch:4, Snapshot: 177; Loss: 0.6445
+[2024-06-11 20:48:21,968 INFO] Epoch:4, Snapshot: 178; Loss: 0.6672
+[2024-06-11 20:48:22,891 INFO] Epoch:4, Snapshot: 179; Loss: 0.6615
+[2024-06-11 20:48:23,829 INFO] Epoch:4, Snapshot: 180; Loss: 0.6267
+[2024-06-11 20:48:24,735 INFO] Epoch:4, Snapshot: 181; Loss: 0.7051
+[2024-06-11 20:48:25,657 INFO] Epoch:4, Snapshot: 182; Loss: 0.6411
+[2024-06-11 20:48:26,564 INFO] Epoch:4, Snapshot: 183; Loss: 0.7024
+[2024-06-11 20:48:27,487 INFO] Epoch:4, Snapshot: 184; Loss: 0.6259
+[2024-06-11 20:48:28,409 INFO] Epoch:4, Snapshot: 185; Loss: 0.6725
+[2024-06-11 20:48:29,315 INFO] Epoch:4, Snapshot: 186; Loss: 0.6391
+[2024-06-11 20:48:30,237 INFO] Epoch:4, Snapshot: 187; Loss: 0.6359
+[2024-06-11 20:48:31,112 INFO] Epoch:4, Snapshot: 188; Loss: 0.7128
+[2024-06-11 20:48:32,019 INFO] Epoch:4, Snapshot: 189; Loss: 0.6307
+[2024-06-11 20:48:32,895 INFO] Epoch:4, Snapshot: 190; Loss: 0.6550
+[2024-06-11 20:48:33,848 INFO] Epoch:4, Snapshot: 191; Loss: 0.6663
+[2024-06-11 20:48:34,786 INFO] Epoch:4, Snapshot: 192; Loss: 0.6283
+[2024-06-11 20:48:35,707 INFO] Epoch:4, Snapshot: 193; Loss: 0.6553
+[2024-06-11 20:48:36,644 INFO] Epoch:4, Snapshot: 194; Loss: 0.6840
+[2024-06-11 20:48:37,535 INFO] Epoch:4, Snapshot: 195; Loss: 0.6915
+[2024-06-11 20:48:38,426 INFO] Epoch:4, Snapshot: 196; Loss: 0.6440
+[2024-06-11 20:48:39,320 INFO] Epoch:4, Snapshot: 197; Loss: 0.6486
+[2024-06-11 20:48:40,224 INFO] Epoch:4, Snapshot: 198; Loss: 0.6674
+[2024-06-11 20:48:41,177 INFO] Epoch:4, Snapshot: 199; Loss: 0.6866
+[2024-06-11 20:48:42,099 INFO] Epoch:4, Snapshot: 200; Loss: 0.7090
+[2024-06-11 20:48:42,990 INFO] Epoch:4, Snapshot: 201; Loss: 0.6627
+[2024-06-11 20:48:43,896 INFO] Epoch:4, Snapshot: 202; Loss: 0.6484
+[2024-06-11 20:48:44,803 INFO] Epoch:4, Snapshot: 203; Loss: 0.6711
+[2024-06-11 20:48:45,725 INFO] Epoch:4, Snapshot: 204; Loss: 0.6478
+[2024-06-11 20:48:46,647 INFO] Epoch:4, Snapshot: 205; Loss: 0.6942
+[2024-06-11 20:48:47,572 INFO] Epoch:4, Snapshot: 206; Loss: 0.7319
+[2024-06-11 20:48:48,475 INFO] Epoch:4, Snapshot: 207; Loss: 0.6419
+[2024-06-11 20:48:49,381 INFO] Epoch:4, Snapshot: 208; Loss: 0.6799
+[2024-06-11 20:48:50,288 INFO] Epoch:4, Snapshot: 209; Loss: 0.6353
+[2024-06-11 20:48:51,194 INFO] Epoch:4, Snapshot: 210; Loss: 0.7157
+[2024-06-11 20:48:52,131 INFO] Epoch:4, Snapshot: 211; Loss: 0.6847
+[2024-06-11 20:48:53,038 INFO] Epoch:4, Snapshot: 212; Loss: 0.6214
+[2024-06-11 20:48:53,944 INFO] Epoch:4, Snapshot: 213; Loss: 0.6472
+[2024-06-11 20:48:54,850 INFO] Epoch:4, Snapshot: 214; Loss: 0.6478
+[2024-06-11 20:48:55,741 INFO] Epoch:4, Snapshot: 215; Loss: 0.7053
+[2024-06-11 20:48:56,651 INFO] Epoch:4, Snapshot: 216; Loss: 0.6586
+[2024-06-11 20:48:57,602 INFO] Epoch:4, Snapshot: 217; Loss: 0.6618
+[2024-06-11 20:48:58,485 INFO] Epoch:4, Snapshot: 218; Loss: 0.6547
+[2024-06-11 20:48:59,402 INFO] Epoch:4, Snapshot: 219; Loss: 0.6409
+[2024-06-11 20:49:00,302 INFO] Epoch:4, Snapshot: 220; Loss: 0.6604
+[2024-06-11 20:49:01,193 INFO] Epoch:4, Snapshot: 221; Loss: 0.6667
+[2024-06-11 20:49:02,115 INFO] Epoch:4, Snapshot: 222; Loss: 0.6593
+[2024-06-11 20:49:03,053 INFO] Epoch:4, Snapshot: 223; Loss: 0.6787
+[2024-06-11 20:49:03,959 INFO] Epoch:4, Snapshot: 224; Loss: 0.6477
+[2024-06-11 20:49:04,850 INFO] Epoch:4, Snapshot: 225; Loss: 0.6275
+[2024-06-11 20:49:05,741 INFO] Epoch:4, Snapshot: 226; Loss: 0.6812
+[2024-06-11 20:49:06,631 INFO] Epoch:4, Snapshot: 227; Loss: 0.6432
+[2024-06-11 20:49:07,522 INFO] Epoch:4, Snapshot: 228; Loss: 0.6342
+[2024-06-11 20:49:08,444 INFO] Epoch:4, Snapshot: 229; Loss: 0.6619
+[2024-06-11 20:49:09,383 INFO] Epoch:4, Snapshot: 230; Loss: 0.6786
+[2024-06-11 20:49:10,305 INFO] Epoch:4, Snapshot: 231; Loss: 0.6554
+[2024-06-11 20:49:11,196 INFO] Epoch:4, Snapshot: 232; Loss: 0.6343
+[2024-06-11 20:49:12,087 INFO] Epoch:4, Snapshot: 233; Loss: 0.6669
+[2024-06-11 20:49:12,947 INFO] Epoch:4, Snapshot: 234; Loss: 0.6720
+[2024-06-11 20:49:13,870 INFO] Epoch:4, Snapshot: 235; Loss: 0.6486
+[2024-06-11 20:49:14,792 INFO] Epoch:4, Snapshot: 236; Loss: 0.6302
+[2024-06-11 20:49:15,682 INFO] Epoch:4, Snapshot: 237; Loss: 0.6327
+[2024-06-11 20:49:16,620 INFO] Epoch:4, Snapshot: 238; Loss: 0.6551
+[2024-06-11 20:49:17,527 INFO] Epoch:4, Snapshot: 239; Loss: 0.6573
+[2024-06-11 20:49:18,449 INFO] Epoch:4, Snapshot: 240; Loss: 0.6597
+[2024-06-11 20:49:19,356 INFO] Epoch:4, Snapshot: 241; Loss: 0.6636
+[2024-06-11 20:49:20,262 INFO] Epoch:4, Snapshot: 242; Loss: 0.6358
+[2024-06-11 20:49:21,153 INFO] Epoch:4, Snapshot: 243; Loss: 0.6497
+[2024-06-11 20:49:22,075 INFO] Epoch:4, Snapshot: 244; Loss: 0.6407
+[2024-06-11 20:49:22,950 INFO] Epoch:4, Snapshot: 245; Loss: 0.6482
+[2024-06-11 20:49:23,882 INFO] Epoch:4, Snapshot: 246; Loss: 0.7133
+[2024-06-11 20:49:24,826 INFO] Epoch:4, Snapshot: 247; Loss: 0.6475
+[2024-06-11 20:49:25,717 INFO] Epoch:4, Snapshot: 248; Loss: 0.7076
+[2024-06-11 20:49:26,607 INFO] Epoch:4, Snapshot: 249; Loss: 0.6384
+[2024-06-11 20:49:27,514 INFO] Epoch:4, Snapshot: 250; Loss: 0.6801
+[2024-06-11 20:49:28,421 INFO] Epoch:4, Snapshot: 251; Loss: 0.7162
+[2024-06-11 20:49:29,250 INFO] Epoch:4, Snapshot: 252; Loss: 0.6914
+[2024-06-11 20:49:30,141 INFO] Epoch:4, Snapshot: 253; Loss: 0.7421
+[2024-06-11 20:49:31,000 INFO] Epoch:4, Snapshot: 254; Loss: 0.7048
+[2024-06-11 20:49:31,828 INFO] Epoch:4, Snapshot: 255; Loss: 0.6754
+[2024-06-11 20:49:32,766 INFO] Epoch:4, Snapshot: 256; Loss: 0.6988
+[2024-06-11 20:49:33,641 INFO] Epoch:4, Snapshot: 257; Loss: 0.6793
+[2024-06-11 20:49:34,533 INFO] Epoch:4, Snapshot: 258; Loss: 0.6720
+[2024-06-11 20:49:35,407 INFO] Epoch:4, Snapshot: 259; Loss: 0.7297
+[2024-06-11 20:49:36,235 INFO] Epoch:4, Snapshot: 260; Loss: 0.7563
+[2024-06-11 20:49:37,095 INFO] Epoch:4, Snapshot: 261; Loss: 0.7602
+[2024-06-11 20:49:37,907 INFO] Epoch:4, Snapshot: 262; Loss: 0.7285
+[2024-06-11 20:49:38,720 INFO] Epoch:4, Snapshot: 263; Loss: 0.7125
+[2024-06-11 20:49:39,517 INFO] Epoch:4, Snapshot: 264; Loss: 0.7372
+[2024-06-11 20:49:40,361 INFO] Epoch:4, Snapshot: 265; Loss: 0.7235
+[2024-06-11 20:49:41,222 INFO] Epoch:4, Snapshot: 266; Loss: 0.7159
+[2024-06-11 20:49:42,082 INFO] Epoch:4, Snapshot: 267; Loss: 0.7026
+[2024-06-11 20:49:42,894 INFO] Epoch:4, Snapshot: 268; Loss: 0.6950
+[2024-06-11 20:49:43,723 INFO] Epoch:4, Snapshot: 269; Loss: 0.6950
+[2024-06-11 20:49:44,535 INFO] Epoch:4, Snapshot: 270; Loss: 0.6776
+[2024-06-11 20:49:45,379 INFO] Epoch:4, Snapshot: 271; Loss: 0.6756
+[2024-06-11 20:49:46,225 INFO] Epoch:4, Snapshot: 272; Loss: 0.6821
+[2024-06-11 20:49:47,067 INFO] Epoch:4, Snapshot: 273; Loss: 0.6685
+[2024-06-11 20:49:47,958 INFO] Epoch:4, Snapshot: 274; Loss: 0.6618
+[2024-06-11 20:49:48,755 INFO] Epoch:4, Snapshot: 275; Loss: 0.6593
+[2024-06-11 20:49:49,567 INFO] Epoch:4, Snapshot: 276; Loss: 0.6870
+[2024-06-11 20:49:50,380 INFO] Epoch:4, Snapshot: 277; Loss: 0.6570
+[2024-06-11 20:49:51,239 INFO] Epoch:4, Snapshot: 278; Loss: 0.6629
+[2024-06-11 20:49:52,083 INFO] Epoch:4, Snapshot: 279; Loss: 0.6502
+[2024-06-11 20:49:52,927 INFO] Epoch:4, Snapshot: 280; Loss: 0.6527
+[2024-06-11 20:49:53,774 INFO] Epoch:4, Snapshot: 281; Loss: 0.6646
+[2024-06-11 20:49:54,599 INFO] Epoch:4, Snapshot: 282; Loss: 0.6886
+[2024-06-11 20:49:55,459 INFO] Epoch:4, Snapshot: 283; Loss: 0.6421
+[2024-06-11 20:49:56,303 INFO] Epoch:4, Snapshot: 284; Loss: 0.6761
+[2024-06-11 20:49:57,147 INFO] Epoch:4, Snapshot: 285; Loss: 0.6623
+[2024-06-11 20:49:57,975 INFO] Epoch:4, Snapshot: 286; Loss: 0.6778
+[2024-06-11 20:49:58,818 INFO] Epoch:4, Snapshot: 287; Loss: 0.6368
+[2024-06-11 20:49:59,631 INFO] Epoch:4, Snapshot: 288; Loss: 0.6801
+[2024-06-11 20:50:00,491 INFO] Epoch:4, Snapshot: 289; Loss: 0.6535
+[2024-06-11 20:50:01,366 INFO] Epoch:4, Snapshot: 290; Loss: 0.6704
+[2024-06-11 20:50:02,211 INFO] Epoch:4, Snapshot: 291; Loss: 0.6717
+[2024-06-11 20:50:03,024 INFO] Epoch:4, Snapshot: 292; Loss: 0.6647
+[2024-06-11 20:50:03,899 INFO] Epoch:4, Snapshot: 293; Loss: 0.6841
+[2024-06-11 20:50:04,744 INFO] Epoch:4, Snapshot: 294; Loss: 0.6535
+[2024-06-11 20:50:05,573 INFO] Epoch:4, Snapshot: 295; Loss: 0.6608
+[2024-06-11 20:50:06,401 INFO] Epoch:4, Snapshot: 296; Loss: 0.6516
+[2024-06-11 20:50:07,277 INFO] Epoch:4, Snapshot: 297; Loss: 0.7160
+[2024-06-11 20:50:08,136 INFO] Epoch:4, Snapshot: 298; Loss: 0.6315
+[2024-06-11 20:50:08,964 INFO] Epoch:4, Snapshot: 299; Loss: 0.6356
+[2024-06-11 20:50:09,777 INFO] Epoch:4, Snapshot: 300; Loss: 0.6341
+[2024-06-11 20:50:10,605 INFO] Epoch:4, Snapshot: 301; Loss: 0.6680
+[2024-06-11 20:50:11,463 INFO] Epoch:4, Snapshot: 302; Loss: 0.6697
+[2024-06-11 20:50:12,354 INFO] Epoch:4, Snapshot: 303; Loss: 0.6322
+[2024-06-11 20:50:13,182 INFO] Epoch:4, Snapshot: 304; Loss: 0.6302
+[2024-06-11 20:50:13,995 INFO] Epoch:4, Snapshot: 305; Loss: 0.6496
+[2024-06-11 20:50:14,823 INFO] Epoch:4, Snapshot: 306; Loss: 0.6566
+[2024-06-11 20:50:15,653 INFO] Epoch:4, Snapshot: 307; Loss: 0.6956
+[2024-06-11 20:50:16,512 INFO] Epoch:4, Snapshot: 308; Loss: 0.6279
+[2024-06-11 20:50:17,357 INFO] Epoch:4, Snapshot: 309; Loss: 0.6586
+[2024-06-11 20:50:18,185 INFO] Epoch:4, Snapshot: 310; Loss: 0.6395
+[2024-06-11 20:50:19,013 INFO] Epoch:4, Snapshot: 311; Loss: 0.6411
+[2024-06-11 20:50:19,826 INFO] Epoch:4, Snapshot: 312; Loss: 0.6701
+[2024-06-11 20:50:20,686 INFO] Epoch:4, Snapshot: 313; Loss: 0.6943
+[2024-06-11 20:50:21,547 INFO] Epoch:4, Snapshot: 314; Loss: 0.6709
+[2024-06-11 20:50:22,389 INFO] Epoch:4, Snapshot: 315; Loss: 0.6312
+[2024-06-11 20:50:23,202 INFO] Epoch:4, Snapshot: 316; Loss: 0.6570
+[2024-06-11 20:50:24,046 INFO] Epoch:4, Snapshot: 317; Loss: 0.6666
+[2024-06-11 20:54:44,619 INFO] ==========================================================================================
+[2024-06-11 20:54:44,619 INFO] Epoch:4, Loss: 0.6722, Time: 553.758, GPU: 566.0MiB
+[2024-06-11 20:54:44,619 INFO] Epoch:4, Accuracy: 0.8151; F1: 0.8420; Recall: 0.9133; Precision: 0.7957; ROC AUC: 0.8149, Memory: 565.9653, time: 724.8308
+[2024-06-11 20:54:45,526 INFO] Epoch:5, Snapshot: 0; Loss: 0.8382
+[2024-06-11 20:54:46,558 INFO] Epoch:5, Snapshot: 1; Loss: 0.6990
+[2024-06-11 20:54:47,573 INFO] Epoch:5, Snapshot: 2; Loss: 0.6816
+[2024-06-11 20:54:48,698 INFO] Epoch:5, Snapshot: 3; Loss: 0.6817
+[2024-06-11 20:54:49,715 INFO] Epoch:5, Snapshot: 4; Loss: 0.6953
+[2024-06-11 20:54:50,767 INFO] Epoch:5, Snapshot: 5; Loss: 0.6813
+[2024-06-11 20:54:51,792 INFO] Epoch:5, Snapshot: 6; Loss: 0.6677
+[2024-06-11 20:54:52,824 INFO] Epoch:5, Snapshot: 7; Loss: 0.6666
+[2024-06-11 20:54:53,870 INFO] Epoch:5, Snapshot: 8; Loss: 0.6612
+[2024-06-11 20:54:54,886 INFO] Epoch:5, Snapshot: 9; Loss: 0.6699
+[2024-06-11 20:54:55,949 INFO] Epoch:5, Snapshot: 10; Loss: 0.6664
+[2024-06-11 20:54:56,933 INFO] Epoch:5, Snapshot: 11; Loss: 0.6625
+[2024-06-11 20:54:57,980 INFO] Epoch:5, Snapshot: 12; Loss: 0.6620
+[2024-06-11 20:54:59,012 INFO] Epoch:5, Snapshot: 13; Loss: 0.6396
+[2024-06-11 20:55:00,075 INFO] Epoch:5, Snapshot: 14; Loss: 0.6675
+[2024-06-11 20:55:01,137 INFO] Epoch:5, Snapshot: 15; Loss: 0.6548
+[2024-06-11 20:55:02,263 INFO] Epoch:5, Snapshot: 16; Loss: 0.6391
+[2024-06-11 20:55:03,341 INFO] Epoch:5, Snapshot: 17; Loss: 0.6376
+[2024-06-11 20:55:04,388 INFO] Epoch:5, Snapshot: 18; Loss: 0.6814
+[2024-06-11 20:55:05,342 INFO] Epoch:5, Snapshot: 19; Loss: 0.6506
+[2024-06-11 20:55:06,248 INFO] Epoch:5, Snapshot: 20; Loss: 0.6760
+[2024-06-11 20:55:07,155 INFO] Epoch:5, Snapshot: 21; Loss: 0.6739
+[2024-06-11 20:55:08,046 INFO] Epoch:5, Snapshot: 22; Loss: 0.6575
+[2024-06-11 20:55:08,937 INFO] Epoch:5, Snapshot: 23; Loss: 0.6589
+[2024-06-11 20:55:09,843 INFO] Epoch:5, Snapshot: 24; Loss: 0.6390
+[2024-06-11 20:55:10,766 INFO] Epoch:5, Snapshot: 25; Loss: 0.6726
+[2024-06-11 20:55:11,641 INFO] Epoch:5, Snapshot: 26; Loss: 0.6707
+[2024-06-11 20:55:12,533 INFO] Epoch:5, Snapshot: 27; Loss: 0.6991
+[2024-06-11 20:55:13,439 INFO] Epoch:5, Snapshot: 28; Loss: 0.6378
+[2024-06-11 20:55:14,392 INFO] Epoch:5, Snapshot: 29; Loss: 0.6471
+[2024-06-11 20:55:15,315 INFO] Epoch:5, Snapshot: 30; Loss: 0.7187
+[2024-06-11 20:55:16,268 INFO] Epoch:5, Snapshot: 31; Loss: 0.6914
+[2024-06-11 20:55:17,222 INFO] Epoch:5, Snapshot: 32; Loss: 0.6621
+[2024-06-11 20:55:18,175 INFO] Epoch:5, Snapshot: 33; Loss: 0.7334
+[2024-06-11 20:55:19,113 INFO] Epoch:5, Snapshot: 34; Loss: 0.6666
+[2024-06-11 20:55:20,113 INFO] Epoch:5, Snapshot: 35; Loss: 0.6902
+[2024-06-11 20:55:21,098 INFO] Epoch:5, Snapshot: 36; Loss: 0.6415
+[2024-06-11 20:55:22,067 INFO] Epoch:5, Snapshot: 37; Loss: 0.6655
+[2024-06-11 20:55:22,974 INFO] Epoch:5, Snapshot: 38; Loss: 0.6524
+[2024-06-11 20:55:23,911 INFO] Epoch:5, Snapshot: 39; Loss: 0.6883
+[2024-06-11 20:55:24,873 INFO] Epoch:5, Snapshot: 40; Loss: 0.7028
+[2024-06-11 20:55:25,850 INFO] Epoch:5, Snapshot: 41; Loss: 0.6358
+[2024-06-11 20:55:26,772 INFO] Epoch:5, Snapshot: 42; Loss: 0.6512
+[2024-06-11 20:55:27,710 INFO] Epoch:5, Snapshot: 43; Loss: 0.7104
+[2024-06-11 20:55:28,663 INFO] Epoch:5, Snapshot: 44; Loss: 0.6630
+[2024-06-11 20:55:29,616 INFO] Epoch:5, Snapshot: 45; Loss: 0.6448
+[2024-06-11 20:55:30,554 INFO] Epoch:5, Snapshot: 46; Loss: 0.6649
+[2024-06-11 20:55:31,507 INFO] Epoch:5, Snapshot: 47; Loss: 0.6944
+[2024-06-11 20:55:32,445 INFO] Epoch:5, Snapshot: 48; Loss: 0.6498
+[2024-06-11 20:55:33,398 INFO] Epoch:5, Snapshot: 49; Loss: 0.6865
+[2024-06-11 20:55:34,321 INFO] Epoch:5, Snapshot: 50; Loss: 0.6481
+[2024-06-11 20:55:35,321 INFO] Epoch:5, Snapshot: 51; Loss: 0.6662
+[2024-06-11 20:55:36,336 INFO] Epoch:5, Snapshot: 52; Loss: 0.6570
+[2024-06-11 20:55:37,336 INFO] Epoch:5, Snapshot: 53; Loss: 0.6474
+[2024-06-11 20:55:38,383 INFO] Epoch:5, Snapshot: 54; Loss: 0.6562
+[2024-06-11 20:55:39,368 INFO] Epoch:5, Snapshot: 55; Loss: 0.6536
+[2024-06-11 20:55:40,321 INFO] Epoch:5, Snapshot: 56; Loss: 0.6476
+[2024-06-11 20:55:41,306 INFO] Epoch:5, Snapshot: 57; Loss: 0.6673
+[2024-06-11 20:55:42,306 INFO] Epoch:5, Snapshot: 58; Loss: 0.7095
+[2024-06-11 20:55:43,290 INFO] Epoch:5, Snapshot: 59; Loss: 0.6634
+[2024-06-11 20:55:44,289 INFO] Epoch:5, Snapshot: 60; Loss: 0.6583
+[2024-06-11 20:55:45,242 INFO] Epoch:5, Snapshot: 61; Loss: 0.6733
+[2024-06-11 20:55:46,151 INFO] Epoch:5, Snapshot: 62; Loss: 0.6724
+[2024-06-11 20:55:47,056 INFO] Epoch:5, Snapshot: 63; Loss: 0.6625
+[2024-06-11 20:55:48,025 INFO] Epoch:5, Snapshot: 64; Loss: 0.6375
+[2024-06-11 20:55:48,978 INFO] Epoch:5, Snapshot: 65; Loss: 0.6519
+[2024-06-11 20:55:49,900 INFO] Epoch:5, Snapshot: 66; Loss: 0.6806
+[2024-06-11 20:55:50,838 INFO] Epoch:5, Snapshot: 67; Loss: 0.6652
+[2024-06-11 20:55:51,729 INFO] Epoch:5, Snapshot: 68; Loss: 0.6907
+[2024-06-11 20:55:52,620 INFO] Epoch:5, Snapshot: 69; Loss: 0.6802
+[2024-06-11 20:55:53,558 INFO] Epoch:5, Snapshot: 70; Loss: 0.7163
+[2024-06-11 20:55:54,485 INFO] Epoch:5, Snapshot: 71; Loss: 0.6153
+[2024-06-11 20:55:55,386 INFO] Epoch:5, Snapshot: 72; Loss: 0.6477
+[2024-06-11 20:55:56,324 INFO] Epoch:5, Snapshot: 73; Loss: 0.7033
+[2024-06-11 20:55:57,293 INFO] Epoch:5, Snapshot: 74; Loss: 0.5922
+[2024-06-11 20:55:58,246 INFO] Epoch:5, Snapshot: 75; Loss: 0.6669
+[2024-06-11 20:55:59,168 INFO] Epoch:5, Snapshot: 76; Loss: 0.6365
+[2024-06-11 20:56:00,059 INFO] Epoch:5, Snapshot: 77; Loss: 0.7038
+[2024-06-11 20:56:00,966 INFO] Epoch:5, Snapshot: 78; Loss: 0.6083
+[2024-06-11 20:56:01,872 INFO] Epoch:5, Snapshot: 79; Loss: 0.7576
+[2024-06-11 20:56:02,794 INFO] Epoch:5, Snapshot: 80; Loss: 0.6251
+[2024-06-11 20:56:03,716 INFO] Epoch:5, Snapshot: 81; Loss: 0.6217
+[2024-06-11 20:56:04,654 INFO] Epoch:5, Snapshot: 82; Loss: 0.6401
+[2024-06-11 20:56:05,544 INFO] Epoch:5, Snapshot: 83; Loss: 0.6568
+[2024-06-11 20:56:06,466 INFO] Epoch:5, Snapshot: 84; Loss: 0.6805
+[2024-06-11 20:56:07,417 INFO] Epoch:5, Snapshot: 85; Loss: 0.6518
+[2024-06-11 20:56:08,342 INFO] Epoch:5, Snapshot: 86; Loss: 0.6652
+[2024-06-11 20:56:09,282 INFO] Epoch:5, Snapshot: 87; Loss: 0.6691
+[2024-06-11 20:56:10,171 INFO] Epoch:5, Snapshot: 88; Loss: 0.6928
+[2024-06-11 20:56:11,062 INFO] Epoch:5, Snapshot: 89; Loss: 0.6803
+[2024-06-11 20:56:11,951 INFO] Epoch:5, Snapshot: 90; Loss: 0.7336
+[2024-06-11 20:56:12,857 INFO] Epoch:5, Snapshot: 91; Loss: 0.5764
+[2024-06-11 20:56:13,773 INFO] Epoch:5, Snapshot: 92; Loss: 0.6256
+[2024-06-11 20:56:14,686 INFO] Epoch:5, Snapshot: 93; Loss: 0.6329
+[2024-06-11 20:56:15,624 INFO] Epoch:5, Snapshot: 94; Loss: 0.7079
+[2024-06-11 20:56:16,561 INFO] Epoch:5, Snapshot: 95; Loss: 0.5954
+[2024-06-11 20:56:17,483 INFO] Epoch:5, Snapshot: 96; Loss: 0.7145
+[2024-06-11 20:56:18,390 INFO] Epoch:5, Snapshot: 97; Loss: 0.6713
+[2024-06-11 20:56:19,297 INFO] Epoch:5, Snapshot: 98; Loss: 0.5850
+[2024-06-11 20:56:20,219 INFO] Epoch:5, Snapshot: 99; Loss: 0.7267
+[2024-06-11 20:56:21,109 INFO] Epoch:5, Snapshot: 100; Loss: 0.6751
+[2024-06-11 20:56:21,985 INFO] Epoch:5, Snapshot: 101; Loss: 0.7048
+[2024-06-11 20:56:22,953 INFO] Epoch:5, Snapshot: 102; Loss: 0.6886
+[2024-06-11 20:56:23,875 INFO] Epoch:5, Snapshot: 103; Loss: 0.6734
+[2024-06-11 20:56:24,782 INFO] Epoch:5, Snapshot: 104; Loss: 0.6668
+[2024-06-11 20:56:25,657 INFO] Epoch:5, Snapshot: 105; Loss: 0.7081
+[2024-06-11 20:56:26,563 INFO] Epoch:5, Snapshot: 106; Loss: 0.5919
+[2024-06-11 20:56:27,501 INFO] Epoch:5, Snapshot: 107; Loss: 0.6080
+[2024-06-11 20:56:28,439 INFO] Epoch:5, Snapshot: 108; Loss: 0.6548
+[2024-06-11 20:56:29,377 INFO] Epoch:5, Snapshot: 109; Loss: 0.6432
+[2024-06-11 20:56:30,283 INFO] Epoch:5, Snapshot: 110; Loss: 0.6356
+[2024-06-11 20:56:31,190 INFO] Epoch:5, Snapshot: 111; Loss: 0.6928
+[2024-06-11 20:56:32,112 INFO] Epoch:5, Snapshot: 112; Loss: 0.6548
+[2024-06-11 20:56:33,003 INFO] Epoch:5, Snapshot: 113; Loss: 0.6274
+[2024-06-11 20:56:33,925 INFO] Epoch:5, Snapshot: 114; Loss: 0.6677
+[2024-06-11 20:56:34,832 INFO] Epoch:5, Snapshot: 115; Loss: 0.6902
+[2024-06-11 20:56:35,758 INFO] Epoch:5, Snapshot: 116; Loss: 0.6452
+[2024-06-11 20:56:36,645 INFO] Epoch:5, Snapshot: 117; Loss: 0.6600
+[2024-06-11 20:56:37,583 INFO] Epoch:5, Snapshot: 118; Loss: 0.6212
+[2024-06-11 20:56:38,505 INFO] Epoch:5, Snapshot: 119; Loss: 0.6347
+[2024-06-11 20:56:39,458 INFO] Epoch:5, Snapshot: 120; Loss: 0.7080
+[2024-06-11 20:56:40,395 INFO] Epoch:5, Snapshot: 121; Loss: 0.6265
+[2024-06-11 20:56:41,302 INFO] Epoch:5, Snapshot: 122; Loss: 0.6797
+[2024-06-11 20:56:42,225 INFO] Epoch:5, Snapshot: 123; Loss: 0.7079
+[2024-06-11 20:56:43,146 INFO] Epoch:5, Snapshot: 124; Loss: 0.6042
+[2024-06-11 20:56:44,052 INFO] Epoch:5, Snapshot: 125; Loss: 0.6321
+[2024-06-11 20:56:44,974 INFO] Epoch:5, Snapshot: 126; Loss: 0.7754
+[2024-06-11 20:56:45,912 INFO] Epoch:5, Snapshot: 127; Loss: 0.6281
+[2024-06-11 20:56:46,850 INFO] Epoch:5, Snapshot: 128; Loss: 0.6246
+[2024-06-11 20:56:47,710 INFO] Epoch:5, Snapshot: 129; Loss: 0.6152
+[2024-06-11 20:56:48,616 INFO] Epoch:5, Snapshot: 130; Loss: 0.6570
+[2024-06-11 20:56:49,538 INFO] Epoch:5, Snapshot: 131; Loss: 0.6533
+[2024-06-11 20:56:50,492 INFO] Epoch:5, Snapshot: 132; Loss: 0.6429
+[2024-06-11 20:56:51,446 INFO] Epoch:5, Snapshot: 133; Loss: 0.6014
+[2024-06-11 20:56:52,352 INFO] Epoch:5, Snapshot: 134; Loss: 0.6592
+[2024-06-11 20:56:53,274 INFO] Epoch:5, Snapshot: 135; Loss: 0.7070
+[2024-06-11 20:56:54,164 INFO] Epoch:5, Snapshot: 136; Loss: 0.5938
+[2024-06-11 20:56:55,086 INFO] Epoch:5, Snapshot: 137; Loss: 0.6274
+[2024-06-11 20:56:55,962 INFO] Epoch:5, Snapshot: 138; Loss: 0.7033
+[2024-06-11 20:56:56,836 INFO] Epoch:5, Snapshot: 139; Loss: 0.6360
+[2024-06-11 20:56:57,758 INFO] Epoch:5, Snapshot: 140; Loss: 0.6818
+[2024-06-11 20:56:58,665 INFO] Epoch:5, Snapshot: 141; Loss: 0.6502
+[2024-06-11 20:56:59,619 INFO] Epoch:5, Snapshot: 142; Loss: 0.7035
+[2024-06-11 20:57:00,541 INFO] Epoch:5, Snapshot: 143; Loss: 0.6111
+[2024-06-11 20:57:01,462 INFO] Epoch:5, Snapshot: 144; Loss: 0.6960
+[2024-06-11 20:57:02,337 INFO] Epoch:5, Snapshot: 145; Loss: 0.6722
+[2024-06-11 20:57:03,306 INFO] Epoch:5, Snapshot: 146; Loss: 0.6164
+[2024-06-11 20:57:04,244 INFO] Epoch:5, Snapshot: 147; Loss: 0.6745
+[2024-06-11 20:57:05,150 INFO] Epoch:5, Snapshot: 148; Loss: 0.6267
+[2024-06-11 20:57:06,056 INFO] Epoch:5, Snapshot: 149; Loss: 0.6537
+[2024-06-11 20:57:06,950 INFO] Epoch:5, Snapshot: 150; Loss: 0.6449
+[2024-06-11 20:57:07,854 INFO] Epoch:5, Snapshot: 151; Loss: 0.6302
+[2024-06-11 20:57:08,808 INFO] Epoch:5, Snapshot: 152; Loss: 0.6503
+[2024-06-11 20:57:09,730 INFO] Epoch:5, Snapshot: 153; Loss: 0.7029
+[2024-06-11 20:57:10,636 INFO] Epoch:5, Snapshot: 154; Loss: 0.6297
+[2024-06-11 20:57:11,542 INFO] Epoch:5, Snapshot: 155; Loss: 0.6690
+[2024-06-11 20:57:12,449 INFO] Epoch:5, Snapshot: 156; Loss: 0.7160
+[2024-06-11 20:57:13,367 INFO] Epoch:5, Snapshot: 157; Loss: 0.6158
+[2024-06-11 20:57:14,277 INFO] Epoch:5, Snapshot: 158; Loss: 0.6790
+[2024-06-11 20:57:15,168 INFO] Epoch:5, Snapshot: 159; Loss: 0.7149
+[2024-06-11 20:57:16,090 INFO] Epoch:5, Snapshot: 160; Loss: 0.6102
+[2024-06-11 20:57:17,012 INFO] Epoch:5, Snapshot: 161; Loss: 0.6949
+[2024-06-11 20:57:17,918 INFO] Epoch:5, Snapshot: 162; Loss: 0.6792
+[2024-06-11 20:57:18,809 INFO] Epoch:5, Snapshot: 163; Loss: 0.6644
+[2024-06-11 20:57:19,716 INFO] Epoch:5, Snapshot: 164; Loss: 0.6518
+[2024-06-11 20:57:20,607 INFO] Epoch:5, Snapshot: 165; Loss: 0.6459
+[2024-06-11 20:57:21,544 INFO] Epoch:5, Snapshot: 166; Loss: 0.6360
+[2024-06-11 20:57:22,482 INFO] Epoch:5, Snapshot: 167; Loss: 0.6701
+[2024-06-11 20:57:23,420 INFO] Epoch:5, Snapshot: 168; Loss: 0.6540
+[2024-06-11 20:57:24,326 INFO] Epoch:5, Snapshot: 169; Loss: 0.6547
+[2024-06-11 20:57:25,217 INFO] Epoch:5, Snapshot: 170; Loss: 0.6235
+[2024-06-11 20:57:26,108 INFO] Epoch:5, Snapshot: 171; Loss: 0.6346
+[2024-06-11 20:57:27,014 INFO] Epoch:5, Snapshot: 172; Loss: 0.6561
+[2024-06-11 20:57:27,936 INFO] Epoch:5, Snapshot: 173; Loss: 0.6217
+[2024-06-11 20:57:28,874 INFO] Epoch:5, Snapshot: 174; Loss: 0.6342
+[2024-06-11 20:57:29,796 INFO] Epoch:5, Snapshot: 175; Loss: 0.6813
+[2024-06-11 20:57:30,702 INFO] Epoch:5, Snapshot: 176; Loss: 0.6341
+[2024-06-11 20:57:31,609 INFO] Epoch:5, Snapshot: 177; Loss: 0.6412
+[2024-06-11 20:57:32,502 INFO] Epoch:5, Snapshot: 178; Loss: 0.6440
+[2024-06-11 20:57:33,390 INFO] Epoch:5, Snapshot: 179; Loss: 0.6411
+[2024-06-11 20:57:34,312 INFO] Epoch:5, Snapshot: 180; Loss: 0.5781
+[2024-06-11 20:57:35,234 INFO] Epoch:5, Snapshot: 181; Loss: 0.6624
+[2024-06-11 20:57:36,124 INFO] Epoch:5, Snapshot: 182; Loss: 0.6313
+[2024-06-11 20:57:36,999 INFO] Epoch:5, Snapshot: 183; Loss: 0.6298
+[2024-06-11 20:57:37,890 INFO] Epoch:5, Snapshot: 184; Loss: 0.6212
+[2024-06-11 20:57:38,766 INFO] Epoch:5, Snapshot: 185; Loss: 0.6772
+[2024-06-11 20:57:39,687 INFO] Epoch:5, Snapshot: 186; Loss: 0.6143
+[2024-06-11 20:57:40,610 INFO] Epoch:5, Snapshot: 187; Loss: 0.6023
+[2024-06-11 20:57:41,546 INFO] Epoch:5, Snapshot: 188; Loss: 0.6835
+[2024-06-11 20:57:42,469 INFO] Epoch:5, Snapshot: 189; Loss: 0.6075
+[2024-06-11 20:57:43,423 INFO] Epoch:5, Snapshot: 190; Loss: 0.6497
+[2024-06-11 20:57:44,345 INFO] Epoch:5, Snapshot: 191; Loss: 0.7143
+[2024-06-11 20:57:45,251 INFO] Epoch:5, Snapshot: 192; Loss: 0.5751
+[2024-06-11 20:57:46,158 INFO] Epoch:5, Snapshot: 193; Loss: 0.6272
+[2024-06-11 20:57:47,048 INFO] Epoch:5, Snapshot: 194; Loss: 0.6752
+[2024-06-11 20:57:47,939 INFO] Epoch:5, Snapshot: 195; Loss: 0.6319
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+[2024-06-11 20:57:53,395 INFO] Epoch:5, Snapshot: 201; Loss: 0.6114
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+[2024-06-11 20:58:12,401 INFO] Epoch:5, Snapshot: 222; Loss: 0.6505
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+[2024-06-11 20:58:14,168 INFO] Epoch:5, Snapshot: 224; Loss: 0.6137
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+[2024-06-11 20:58:15,949 INFO] Epoch:5, Snapshot: 226; Loss: 0.6405
+[2024-06-11 20:58:16,872 INFO] Epoch:5, Snapshot: 227; Loss: 0.6207
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+[2024-06-11 20:58:29,515 INFO] Epoch:5, Snapshot: 241; Loss: 0.6082
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+[2024-06-11 20:58:33,219 INFO] Epoch:5, Snapshot: 245; Loss: 0.6356
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+[2024-06-11 20:58:38,080 INFO] Epoch:5, Snapshot: 250; Loss: 0.6084
+[2024-06-11 20:58:39,033 INFO] Epoch:5, Snapshot: 251; Loss: 0.6350
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+[2024-06-11 20:58:43,348 INFO] Epoch:5, Snapshot: 256; Loss: 0.7032
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+[2024-06-11 20:58:51,819 INFO] Epoch:5, Snapshot: 266; Loss: 0.7264
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+[2024-06-11 20:58:55,196 INFO] Epoch:5, Snapshot: 270; Loss: 0.6759
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+[2024-06-11 20:58:57,697 INFO] Epoch:5, Snapshot: 273; Loss: 0.6466
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+[2024-06-11 20:58:59,384 INFO] Epoch:5, Snapshot: 275; Loss: 0.6646
+[2024-06-11 20:59:00,213 INFO] Epoch:5, Snapshot: 276; Loss: 0.6367
+[2024-06-11 20:59:01,073 INFO] Epoch:5, Snapshot: 277; Loss: 0.6439
+[2024-06-11 20:59:01,886 INFO] Epoch:5, Snapshot: 278; Loss: 0.6741
+[2024-06-11 20:59:02,729 INFO] Epoch:5, Snapshot: 279; Loss: 0.6272
+[2024-06-11 20:59:03,589 INFO] Epoch:5, Snapshot: 280; Loss: 0.6285
+[2024-06-11 20:59:04,418 INFO] Epoch:5, Snapshot: 281; Loss: 0.6356
+[2024-06-11 20:59:05,247 INFO] Epoch:5, Snapshot: 282; Loss: 0.6254
+[2024-06-11 20:59:06,107 INFO] Epoch:5, Snapshot: 283; Loss: 0.6397
+[2024-06-11 20:59:06,966 INFO] Epoch:5, Snapshot: 284; Loss: 0.6123
+[2024-06-11 20:59:07,810 INFO] Epoch:5, Snapshot: 285; Loss: 0.6701
+[2024-06-11 20:59:08,639 INFO] Epoch:5, Snapshot: 286; Loss: 0.6165
+[2024-06-11 20:59:09,452 INFO] Epoch:5, Snapshot: 287; Loss: 0.6363
+[2024-06-11 20:59:10,327 INFO] Epoch:5, Snapshot: 288; Loss: 0.6329
+[2024-06-11 20:59:11,202 INFO] Epoch:5, Snapshot: 289; Loss: 0.6500
+[2024-06-11 20:59:12,030 INFO] Epoch:5, Snapshot: 290; Loss: 0.6579
+[2024-06-11 20:59:12,858 INFO] Epoch:5, Snapshot: 291; Loss: 0.6601
+[2024-06-11 20:59:13,717 INFO] Epoch:5, Snapshot: 292; Loss: 0.6599
+[2024-06-11 20:59:14,577 INFO] Epoch:5, Snapshot: 293; Loss: 0.6694
+[2024-06-11 20:59:15,421 INFO] Epoch:5, Snapshot: 294; Loss: 0.6313
+[2024-06-11 20:59:16,280 INFO] Epoch:5, Snapshot: 295; Loss: 0.6491
+[2024-06-11 20:59:17,108 INFO] Epoch:5, Snapshot: 296; Loss: 0.6346
+[2024-06-11 20:59:17,941 INFO] Epoch:5, Snapshot: 297; Loss: 0.6274
+[2024-06-11 20:59:18,751 INFO] Epoch:5, Snapshot: 298; Loss: 0.6264
+[2024-06-11 20:59:19,609 INFO] Epoch:5, Snapshot: 299; Loss: 0.6162
+[2024-06-11 20:59:20,468 INFO] Epoch:5, Snapshot: 300; Loss: 0.5916
+[2024-06-11 20:59:21,327 INFO] Epoch:5, Snapshot: 301; Loss: 0.6655
+[2024-06-11 20:59:22,187 INFO] Epoch:5, Snapshot: 302; Loss: 0.6519
+[2024-06-11 20:59:23,015 INFO] Epoch:5, Snapshot: 303; Loss: 0.5886
+[2024-06-11 20:59:23,827 INFO] Epoch:5, Snapshot: 304; Loss: 0.6583
+[2024-06-11 20:59:24,641 INFO] Epoch:5, Snapshot: 305; Loss: 0.6015
+[2024-06-11 20:59:25,501 INFO] Epoch:5, Snapshot: 306; Loss: 0.6346
+[2024-06-11 20:59:26,345 INFO] Epoch:5, Snapshot: 307; Loss: 0.6251
+[2024-06-11 20:59:27,204 INFO] Epoch:5, Snapshot: 308; Loss: 0.6389
+[2024-06-11 20:59:28,033 INFO] Epoch:5, Snapshot: 309; Loss: 0.6390
+[2024-06-11 20:59:28,846 INFO] Epoch:5, Snapshot: 310; Loss: 0.6213
+[2024-06-11 20:59:29,720 INFO] Epoch:5, Snapshot: 311; Loss: 0.6175
+[2024-06-11 20:59:30,580 INFO] Epoch:5, Snapshot: 312; Loss: 0.6779
+[2024-06-11 20:59:31,393 INFO] Epoch:5, Snapshot: 313; Loss: 0.5946
+[2024-06-11 20:59:32,222 INFO] Epoch:5, Snapshot: 314; Loss: 0.6752
+[2024-06-11 20:59:33,067 INFO] Epoch:5, Snapshot: 315; Loss: 0.6074
+[2024-06-11 20:59:33,918 INFO] Epoch:5, Snapshot: 316; Loss: 0.6483
+[2024-06-11 20:59:34,755 INFO] Epoch:5, Snapshot: 317; Loss: 0.6281
+[2024-06-11 21:03:46,398 INFO] ==========================================================================================
+[2024-06-11 21:03:46,398 INFO] Epoch:5, Loss: 0.6567, Time: 541.780, GPU: 566.0MiB
+[2024-06-11 21:03:46,398 INFO] Epoch:5, Accuracy: 0.8662; F1: 0.8782; Recall: 0.9164; Precision: 0.8520; ROC AUC: 0.8662, Memory: 565.9653, time: 696.9844
+[2024-06-11 21:03:47,334 INFO] Epoch:6, Snapshot: 0; Loss: 0.7818
+[2024-06-11 21:03:48,471 INFO] Epoch:6, Snapshot: 1; Loss: 0.7181
+[2024-06-11 21:03:49,539 INFO] Epoch:6, Snapshot: 2; Loss: 0.6989
+[2024-06-11 21:03:50,697 INFO] Epoch:6, Snapshot: 3; Loss: 0.7136
+[2024-06-11 21:03:51,713 INFO] Epoch:6, Snapshot: 4; Loss: 0.6678
+[2024-06-11 21:03:52,738 INFO] Epoch:6, Snapshot: 5; Loss: 0.6984
+[2024-06-11 21:03:53,760 INFO] Epoch:6, Snapshot: 6; Loss: 0.6674
+[2024-06-11 21:03:54,895 INFO] Epoch:6, Snapshot: 7; Loss: 0.6730
+[2024-06-11 21:03:55,902 INFO] Epoch:6, Snapshot: 8; Loss: 0.6473
+[2024-06-11 21:03:56,927 INFO] Epoch:6, Snapshot: 9; Loss: 0.6486
+[2024-06-11 21:03:57,941 INFO] Epoch:6, Snapshot: 10; Loss: 0.6746
+[2024-06-11 21:03:58,953 INFO] Epoch:6, Snapshot: 11; Loss: 0.6194
+[2024-06-11 21:04:00,005 INFO] Epoch:6, Snapshot: 12; Loss: 0.6463
+[2024-06-11 21:04:01,056 INFO] Epoch:6, Snapshot: 13; Loss: 0.6153
+[2024-06-11 21:04:02,106 INFO] Epoch:6, Snapshot: 14; Loss: 0.6650
+[2024-06-11 21:04:03,157 INFO] Epoch:6, Snapshot: 15; Loss: 0.6356
+[2024-06-11 21:04:04,222 INFO] Epoch:6, Snapshot: 16; Loss: 0.6214
+[2024-06-11 21:04:05,305 INFO] Epoch:6, Snapshot: 17; Loss: 0.6094
+[2024-06-11 21:04:06,337 INFO] Epoch:6, Snapshot: 18; Loss: 0.6711
+[2024-06-11 21:04:07,275 INFO] Epoch:6, Snapshot: 19; Loss: 0.6365
+[2024-06-11 21:04:08,165 INFO] Epoch:6, Snapshot: 20; Loss: 0.6613
+[2024-06-11 21:04:09,071 INFO] Epoch:6, Snapshot: 21; Loss: 0.6894
+[2024-06-11 21:04:09,946 INFO] Epoch:6, Snapshot: 22; Loss: 0.6852
+[2024-06-11 21:04:10,837 INFO] Epoch:6, Snapshot: 23; Loss: 0.6066
+[2024-06-11 21:04:11,743 INFO] Epoch:6, Snapshot: 24; Loss: 0.6600
+[2024-06-11 21:04:12,665 INFO] Epoch:6, Snapshot: 25; Loss: 0.6217
+[2024-06-11 21:04:13,556 INFO] Epoch:6, Snapshot: 26; Loss: 0.6752
+[2024-06-11 21:04:14,446 INFO] Epoch:6, Snapshot: 27; Loss: 0.6438
+[2024-06-11 21:04:15,353 INFO] Epoch:6, Snapshot: 28; Loss: 0.6533
+[2024-06-11 21:04:16,291 INFO] Epoch:6, Snapshot: 29; Loss: 0.6498
+[2024-06-11 21:04:17,182 INFO] Epoch:6, Snapshot: 30; Loss: 0.7019
+[2024-06-11 21:04:18,089 INFO] Epoch:6, Snapshot: 31; Loss: 0.7231
+[2024-06-11 21:04:19,073 INFO] Epoch:6, Snapshot: 32; Loss: 0.6698
+[2024-06-11 21:04:20,042 INFO] Epoch:6, Snapshot: 33; Loss: 0.6429
+[2024-06-11 21:04:20,995 INFO] Epoch:6, Snapshot: 34; Loss: 0.6642
+[2024-06-11 21:04:21,933 INFO] Epoch:6, Snapshot: 35; Loss: 0.6498
+[2024-06-11 21:04:22,902 INFO] Epoch:6, Snapshot: 36; Loss: 0.6183
+[2024-06-11 21:04:23,808 INFO] Epoch:6, Snapshot: 37; Loss: 0.6421
+[2024-06-11 21:04:24,746 INFO] Epoch:6, Snapshot: 38; Loss: 0.6580
+[2024-06-11 21:04:25,700 INFO] Epoch:6, Snapshot: 39; Loss: 0.6908
+[2024-06-11 21:04:26,653 INFO] Epoch:6, Snapshot: 40; Loss: 0.6333
+[2024-06-11 21:04:27,607 INFO] Epoch:6, Snapshot: 41; Loss: 0.6732
+[2024-06-11 21:04:28,545 INFO] Epoch:6, Snapshot: 42; Loss: 0.6617
+[2024-06-11 21:04:29,468 INFO] Epoch:6, Snapshot: 43; Loss: 0.6540
+[2024-06-11 21:04:30,422 INFO] Epoch:6, Snapshot: 44; Loss: 0.6868
+[2024-06-11 21:04:31,392 INFO] Epoch:6, Snapshot: 45; Loss: 0.6736
+[2024-06-11 21:04:32,346 INFO] Epoch:6, Snapshot: 46; Loss: 0.6640
+[2024-06-11 21:04:33,283 INFO] Epoch:6, Snapshot: 47; Loss: 0.6673
+[2024-06-11 21:04:34,190 INFO] Epoch:6, Snapshot: 48; Loss: 0.7318
+[2024-06-11 21:04:35,127 INFO] Epoch:6, Snapshot: 49; Loss: 0.5551
+[2024-06-11 21:04:36,081 INFO] Epoch:6, Snapshot: 50; Loss: 0.6194
+[2024-06-11 21:04:37,050 INFO] Epoch:6, Snapshot: 51; Loss: 0.6421
+[2024-06-11 21:04:38,035 INFO] Epoch:6, Snapshot: 52; Loss: 0.6279
+[2024-06-11 21:04:38,957 INFO] Epoch:6, Snapshot: 53; Loss: 0.6218
+[2024-06-11 21:04:39,895 INFO] Epoch:6, Snapshot: 54; Loss: 0.6511
+[2024-06-11 21:04:40,849 INFO] Epoch:6, Snapshot: 55; Loss: 0.6135
+[2024-06-11 21:04:41,802 INFO] Epoch:6, Snapshot: 56; Loss: 0.6955
+[2024-06-11 21:04:42,755 INFO] Epoch:6, Snapshot: 57; Loss: 0.6152
+[2024-06-11 21:04:43,726 INFO] Epoch:6, Snapshot: 58; Loss: 0.6716
+[2024-06-11 21:04:44,662 INFO] Epoch:6, Snapshot: 59; Loss: 0.6001
+[2024-06-11 21:04:45,600 INFO] Epoch:6, Snapshot: 60; Loss: 0.6373
+[2024-06-11 21:04:46,506 INFO] Epoch:6, Snapshot: 61; Loss: 0.6519
+[2024-06-11 21:04:47,491 INFO] Epoch:6, Snapshot: 62; Loss: 0.6590
+[2024-06-11 21:04:48,445 INFO] Epoch:6, Snapshot: 63; Loss: 0.6238
+[2024-06-11 21:04:49,398 INFO] Epoch:6, Snapshot: 64; Loss: 0.6040
+[2024-06-11 21:04:50,320 INFO] Epoch:6, Snapshot: 65; Loss: 0.7123
+[2024-06-11 21:04:51,211 INFO] Epoch:6, Snapshot: 66; Loss: 0.5955
+[2024-06-11 21:04:52,086 INFO] Epoch:6, Snapshot: 67; Loss: 0.6252
+[2024-06-11 21:04:52,961 INFO] Epoch:6, Snapshot: 68; Loss: 0.6892
+[2024-06-11 21:04:53,883 INFO] Epoch:6, Snapshot: 69; Loss: 0.7119
+[2024-06-11 21:04:54,821 INFO] Epoch:6, Snapshot: 70; Loss: 0.5870
+[2024-06-11 21:04:55,743 INFO] Epoch:6, Snapshot: 71; Loss: 0.6722
+[2024-06-11 21:04:56,648 INFO] Epoch:6, Snapshot: 72; Loss: 0.6316
+[2024-06-11 21:04:57,555 INFO] Epoch:6, Snapshot: 73; Loss: 0.6290
+[2024-06-11 21:04:58,473 INFO] Epoch:6, Snapshot: 74; Loss: 0.6788
+[2024-06-11 21:04:59,400 INFO] Epoch:6, Snapshot: 75; Loss: 0.6458
+[2024-06-11 21:05:00,354 INFO] Epoch:6, Snapshot: 76; Loss: 0.5723
+[2024-06-11 21:05:01,275 INFO] Epoch:6, Snapshot: 77; Loss: 0.6473
+[2024-06-11 21:05:02,181 INFO] Epoch:6, Snapshot: 78; Loss: 0.6126
+[2024-06-11 21:05:03,118 INFO] Epoch:6, Snapshot: 79; Loss: 0.6621
+[2024-06-11 21:05:04,056 INFO] Epoch:6, Snapshot: 80; Loss: 0.6682
+[2024-06-11 21:05:05,025 INFO] Epoch:6, Snapshot: 81; Loss: 0.6102
+[2024-06-11 21:05:05,994 INFO] Epoch:6, Snapshot: 82; Loss: 0.6457
+[2024-06-11 21:05:06,885 INFO] Epoch:6, Snapshot: 83; Loss: 0.6016
+[2024-06-11 21:05:07,792 INFO] Epoch:6, Snapshot: 84; Loss: 0.6107
+[2024-06-11 21:05:08,729 INFO] Epoch:6, Snapshot: 85; Loss: 0.6766
+[2024-06-11 21:05:09,667 INFO] Epoch:6, Snapshot: 86; Loss: 0.7060
+[2024-06-11 21:05:10,605 INFO] Epoch:6, Snapshot: 87; Loss: 0.6128
+[2024-06-11 21:05:11,527 INFO] Epoch:6, Snapshot: 88; Loss: 0.6981
+[2024-06-11 21:05:12,433 INFO] Epoch:6, Snapshot: 89; Loss: 0.6217
+[2024-06-11 21:05:13,324 INFO] Epoch:6, Snapshot: 90; Loss: 0.7145
+[2024-06-11 21:05:14,231 INFO] Epoch:6, Snapshot: 91; Loss: 0.7069
+[2024-06-11 21:05:15,122 INFO] Epoch:6, Snapshot: 92; Loss: 0.5895
+[2024-06-11 21:05:16,044 INFO] Epoch:6, Snapshot: 93; Loss: 0.6868
+[2024-06-11 21:05:16,982 INFO] Epoch:6, Snapshot: 94; Loss: 0.5803
+[2024-06-11 21:05:17,903 INFO] Epoch:6, Snapshot: 95; Loss: 0.6976
+[2024-06-11 21:05:18,810 INFO] Epoch:6, Snapshot: 96; Loss: 0.6045
+[2024-06-11 21:05:19,716 INFO] Epoch:6, Snapshot: 97; Loss: 0.7013
+[2024-06-11 21:05:20,623 INFO] Epoch:6, Snapshot: 98; Loss: 0.5615
+[2024-06-11 21:05:21,561 INFO] Epoch:6, Snapshot: 99; Loss: 0.6891
+[2024-06-11 21:05:22,483 INFO] Epoch:6, Snapshot: 100; Loss: 0.6587
+[2024-06-11 21:05:23,374 INFO] Epoch:6, Snapshot: 101; Loss: 0.6678
+[2024-06-11 21:05:24,265 INFO] Epoch:6, Snapshot: 102; Loss: 0.6364
+[2024-06-11 21:05:25,155 INFO] Epoch:6, Snapshot: 103; Loss: 0.6022
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+[2024-06-11 21:05:32,437 INFO] Epoch:6, Snapshot: 111; Loss: 0.6257
+[2024-06-11 21:05:33,375 INFO] Epoch:6, Snapshot: 112; Loss: 0.6420
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+[2024-06-11 21:05:36,141 INFO] Epoch:6, Snapshot: 115; Loss: 0.6530
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+[2024-06-11 21:05:37,938 INFO] Epoch:6, Snapshot: 117; Loss: 0.6583
+[2024-06-11 21:05:38,829 INFO] Epoch:6, Snapshot: 118; Loss: 0.6075
+[2024-06-11 21:05:39,736 INFO] Epoch:6, Snapshot: 119; Loss: 0.6131
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+[2024-06-11 21:05:50,707 INFO] Epoch:6, Snapshot: 131; Loss: 0.6450
+[2024-06-11 21:05:51,597 INFO] Epoch:6, Snapshot: 132; Loss: 0.5832
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+[2024-06-11 21:05:53,442 INFO] Epoch:6, Snapshot: 134; Loss: 0.6889
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+[2024-06-11 21:06:12,731 INFO] Epoch:6, Snapshot: 155; Loss: 0.6680
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+[2024-06-11 21:06:21,889 INFO] Epoch:6, Snapshot: 165; Loss: 0.6733
+[2024-06-11 21:06:22,765 INFO] Epoch:6, Snapshot: 166; Loss: 0.5675
+[2024-06-11 21:06:23,682 INFO] Epoch:6, Snapshot: 167; Loss: 0.6749
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+[2024-06-11 21:06:25,531 INFO] Epoch:6, Snapshot: 169; Loss: 0.6544
+[2024-06-11 21:06:26,453 INFO] Epoch:6, Snapshot: 170; Loss: 0.6458
+[2024-06-11 21:06:27,343 INFO] Epoch:6, Snapshot: 171; Loss: 0.6245
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+[2024-06-11 21:06:29,140 INFO] Epoch:6, Snapshot: 173; Loss: 0.6096
+[2024-06-11 21:06:30,080 INFO] Epoch:6, Snapshot: 174; Loss: 0.5955
+[2024-06-11 21:06:30,985 INFO] Epoch:6, Snapshot: 175; Loss: 0.6539
+[2024-06-11 21:06:31,923 INFO] Epoch:6, Snapshot: 176; Loss: 0.6265
+[2024-06-11 21:06:32,813 INFO] Epoch:6, Snapshot: 177; Loss: 0.6484
+[2024-06-11 21:06:33,720 INFO] Epoch:6, Snapshot: 178; Loss: 0.6075
+[2024-06-11 21:06:34,626 INFO] Epoch:6, Snapshot: 179; Loss: 0.6224
+[2024-06-11 21:06:35,506 INFO] Epoch:6, Snapshot: 180; Loss: 0.6394
+[2024-06-11 21:06:36,392 INFO] Epoch:6, Snapshot: 181; Loss: 0.6001
+[2024-06-11 21:06:37,299 INFO] Epoch:6, Snapshot: 182; Loss: 0.6137
+[2024-06-11 21:06:38,221 INFO] Epoch:6, Snapshot: 183; Loss: 0.5714
+[2024-06-11 21:06:39,127 INFO] Epoch:6, Snapshot: 184; Loss: 0.6077
+[2024-06-11 21:06:40,033 INFO] Epoch:6, Snapshot: 185; Loss: 0.6378
+[2024-06-11 21:06:40,940 INFO] Epoch:6, Snapshot: 186; Loss: 0.5797
+[2024-06-11 21:06:41,847 INFO] Epoch:6, Snapshot: 187; Loss: 0.5795
+[2024-06-11 21:06:42,784 INFO] Epoch:6, Snapshot: 188; Loss: 0.6125
+[2024-06-11 21:06:43,690 INFO] Epoch:6, Snapshot: 189; Loss: 0.5893
+[2024-06-11 21:06:44,628 INFO] Epoch:6, Snapshot: 190; Loss: 0.6200
+[2024-06-11 21:06:45,534 INFO] Epoch:6, Snapshot: 191; Loss: 0.6400
+[2024-06-11 21:06:46,425 INFO] Epoch:6, Snapshot: 192; Loss: 0.5481
+[2024-06-11 21:06:47,347 INFO] Epoch:6, Snapshot: 193; Loss: 0.6165
+[2024-06-11 21:06:48,254 INFO] Epoch:6, Snapshot: 194; Loss: 0.6663
+[2024-06-11 21:06:49,145 INFO] Epoch:6, Snapshot: 195; Loss: 0.6792
+[2024-06-11 21:06:50,035 INFO] Epoch:6, Snapshot: 196; Loss: 0.5595
+[2024-06-11 21:06:50,957 INFO] Epoch:6, Snapshot: 197; Loss: 0.6979
+[2024-06-11 21:06:51,864 INFO] Epoch:6, Snapshot: 198; Loss: 0.6056
+[2024-06-11 21:06:52,754 INFO] Epoch:6, Snapshot: 199; Loss: 0.6556
+[2024-06-11 21:06:53,645 INFO] Epoch:6, Snapshot: 200; Loss: 0.6277
+[2024-06-11 21:06:54,567 INFO] Epoch:6, Snapshot: 201; Loss: 0.6283
+[2024-06-11 21:06:55,489 INFO] Epoch:6, Snapshot: 202; Loss: 0.6114
+[2024-06-11 21:06:56,411 INFO] Epoch:6, Snapshot: 203; Loss: 0.6548
+[2024-06-11 21:06:57,349 INFO] Epoch:6, Snapshot: 204; Loss: 0.5601
+[2024-06-11 21:06:58,271 INFO] Epoch:6, Snapshot: 205; Loss: 0.6893
+[2024-06-11 21:06:59,194 INFO] Epoch:6, Snapshot: 206; Loss: 0.5931
+[2024-06-11 21:07:00,100 INFO] Epoch:6, Snapshot: 207; Loss: 0.5915
+[2024-06-11 21:07:01,007 INFO] Epoch:6, Snapshot: 208; Loss: 0.5700
+[2024-06-11 21:07:01,930 INFO] Epoch:6, Snapshot: 209; Loss: 0.6722
+[2024-06-11 21:07:02,851 INFO] Epoch:6, Snapshot: 210; Loss: 0.5971
+[2024-06-11 21:07:03,758 INFO] Epoch:6, Snapshot: 211; Loss: 0.6191
+[2024-06-11 21:07:04,665 INFO] Epoch:6, Snapshot: 212; Loss: 0.6877
+[2024-06-11 21:07:05,572 INFO] Epoch:6, Snapshot: 213; Loss: 0.5437
+[2024-06-11 21:07:06,493 INFO] Epoch:6, Snapshot: 214; Loss: 0.5898
+[2024-06-11 21:07:07,415 INFO] Epoch:6, Snapshot: 215; Loss: 0.6775
+[2024-06-11 21:07:08,306 INFO] Epoch:6, Snapshot: 216; Loss: 0.6286
+[2024-06-11 21:07:09,212 INFO] Epoch:6, Snapshot: 217; Loss: 0.6077
+[2024-06-11 21:07:10,103 INFO] Epoch:6, Snapshot: 218; Loss: 0.6129
+[2024-06-11 21:07:11,010 INFO] Epoch:6, Snapshot: 219; Loss: 0.6018
+[2024-06-11 21:07:11,916 INFO] Epoch:6, Snapshot: 220; Loss: 0.6113
+[2024-06-11 21:07:12,854 INFO] Epoch:6, Snapshot: 221; Loss: 0.7138
+[2024-06-11 21:07:13,744 INFO] Epoch:6, Snapshot: 222; Loss: 0.5466
+[2024-06-11 21:07:14,667 INFO] Epoch:6, Snapshot: 223; Loss: 0.6422
+[2024-06-11 21:07:15,573 INFO] Epoch:6, Snapshot: 224; Loss: 0.5694
+[2024-06-11 21:07:16,480 INFO] Epoch:6, Snapshot: 225; Loss: 0.5947
+[2024-06-11 21:07:17,422 INFO] Epoch:6, Snapshot: 226; Loss: 0.6459
+[2024-06-11 21:07:18,355 INFO] Epoch:6, Snapshot: 227; Loss: 0.6339
+[2024-06-11 21:07:19,294 INFO] Epoch:6, Snapshot: 228; Loss: 0.6006
+[2024-06-11 21:07:20,185 INFO] Epoch:6, Snapshot: 229; Loss: 0.6436
+[2024-06-11 21:07:21,085 INFO] Epoch:6, Snapshot: 230; Loss: 0.7216
+[2024-06-11 21:07:21,982 INFO] Epoch:6, Snapshot: 231; Loss: 0.6021
+[2024-06-11 21:07:22,877 INFO] Epoch:6, Snapshot: 232; Loss: 0.6376
+[2024-06-11 21:07:23,748 INFO] Epoch:6, Snapshot: 233; Loss: 0.5744
+[2024-06-11 21:07:24,639 INFO] Epoch:6, Snapshot: 234; Loss: 0.6678
+[2024-06-11 21:07:25,561 INFO] Epoch:6, Snapshot: 235; Loss: 0.6208
+[2024-06-11 21:07:26,436 INFO] Epoch:6, Snapshot: 236; Loss: 0.5764
+[2024-06-11 21:07:27,312 INFO] Epoch:6, Snapshot: 237; Loss: 0.5770
+[2024-06-11 21:07:28,202 INFO] Epoch:6, Snapshot: 238; Loss: 0.5934
+[2024-06-11 21:07:29,109 INFO] Epoch:6, Snapshot: 239; Loss: 0.6013
+[2024-06-11 21:07:30,063 INFO] Epoch:6, Snapshot: 240; Loss: 0.6968
+[2024-06-11 21:07:30,954 INFO] Epoch:6, Snapshot: 241; Loss: 0.5749
+[2024-06-11 21:07:31,860 INFO] Epoch:6, Snapshot: 242; Loss: 0.6332
+[2024-06-11 21:07:32,735 INFO] Epoch:6, Snapshot: 243; Loss: 0.6612
+[2024-06-11 21:07:33,673 INFO] Epoch:6, Snapshot: 244; Loss: 0.6502
+[2024-06-11 21:07:34,599 INFO] Epoch:6, Snapshot: 245; Loss: 0.6031
+[2024-06-11 21:07:35,518 INFO] Epoch:6, Snapshot: 246; Loss: 0.5754
+[2024-06-11 21:07:36,440 INFO] Epoch:6, Snapshot: 247; Loss: 0.5960
+[2024-06-11 21:07:37,362 INFO] Epoch:6, Snapshot: 248; Loss: 0.5964
+[2024-06-11 21:07:38,253 INFO] Epoch:6, Snapshot: 249; Loss: 0.6435
+[2024-06-11 21:07:39,159 INFO] Epoch:6, Snapshot: 250; Loss: 0.6605
+[2024-06-11 21:07:40,081 INFO] Epoch:6, Snapshot: 251; Loss: 0.6672
+[2024-06-11 21:07:40,940 INFO] Epoch:6, Snapshot: 252; Loss: 0.6903
+[2024-06-11 21:07:41,800 INFO] Epoch:6, Snapshot: 253; Loss: 0.7078
+[2024-06-11 21:07:42,659 INFO] Epoch:6, Snapshot: 254; Loss: 0.6808
+[2024-06-11 21:07:43,503 INFO] Epoch:6, Snapshot: 255; Loss: 0.6958
+[2024-06-11 21:07:44,440 INFO] Epoch:6, Snapshot: 256; Loss: 0.7112
+[2024-06-11 21:07:45,362 INFO] Epoch:6, Snapshot: 257; Loss: 0.6784
+[2024-06-11 21:07:46,285 INFO] Epoch:6, Snapshot: 258; Loss: 0.6367
+[2024-06-11 21:07:47,129 INFO] Epoch:6, Snapshot: 259; Loss: 0.7534
+[2024-06-11 21:07:47,958 INFO] Epoch:6, Snapshot: 260; Loss: 0.7928
+[2024-06-11 21:07:48,786 INFO] Epoch:6, Snapshot: 261; Loss: 0.7982
+[2024-06-11 21:07:49,583 INFO] Epoch:6, Snapshot: 262; Loss: 0.7419
+[2024-06-11 21:07:50,412 INFO] Epoch:6, Snapshot: 263; Loss: 0.7422
+[2024-06-11 21:07:51,255 INFO] Epoch:6, Snapshot: 264; Loss: 0.7303
+[2024-06-11 21:07:52,083 INFO] Epoch:6, Snapshot: 265; Loss: 0.7125
+[2024-06-11 21:07:52,927 INFO] Epoch:6, Snapshot: 266; Loss: 0.7164
+[2024-06-11 21:07:53,756 INFO] Epoch:6, Snapshot: 267; Loss: 0.6997
+[2024-06-11 21:07:54,554 INFO] Epoch:6, Snapshot: 268; Loss: 0.6798
+[2024-06-11 21:07:55,385 INFO] Epoch:6, Snapshot: 269; Loss: 0.6814
+[2024-06-11 21:07:56,227 INFO] Epoch:6, Snapshot: 270; Loss: 0.6467
+[2024-06-11 21:07:57,055 INFO] Epoch:6, Snapshot: 271; Loss: 0.6517
+[2024-06-11 21:07:57,915 INFO] Epoch:6, Snapshot: 272; Loss: 0.6497
+[2024-06-11 21:07:58,806 INFO] Epoch:6, Snapshot: 273; Loss: 0.6349
+[2024-06-11 21:07:59,667 INFO] Epoch:6, Snapshot: 274; Loss: 0.6295
+[2024-06-11 21:08:00,511 INFO] Epoch:6, Snapshot: 275; Loss: 0.6115
+[2024-06-11 21:08:01,355 INFO] Epoch:6, Snapshot: 276; Loss: 0.6646
+[2024-06-11 21:08:02,183 INFO] Epoch:6, Snapshot: 277; Loss: 0.6274
+[2024-06-11 21:08:03,011 INFO] Epoch:6, Snapshot: 278; Loss: 0.6254
+[2024-06-11 21:08:03,855 INFO] Epoch:6, Snapshot: 279; Loss: 0.6161
+[2024-06-11 21:08:04,652 INFO] Epoch:6, Snapshot: 280; Loss: 0.6627
+[2024-06-11 21:08:05,496 INFO] Epoch:6, Snapshot: 281; Loss: 0.6129
+[2024-06-11 21:08:06,354 INFO] Epoch:6, Snapshot: 282; Loss: 0.6088
+[2024-06-11 21:08:07,198 INFO] Epoch:6, Snapshot: 283; Loss: 0.5911
+[2024-06-11 21:08:08,027 INFO] Epoch:6, Snapshot: 284; Loss: 0.6767
+[2024-06-11 21:08:08,840 INFO] Epoch:6, Snapshot: 285; Loss: 0.6314
+[2024-06-11 21:08:09,668 INFO] Epoch:6, Snapshot: 286; Loss: 0.6311
+[2024-06-11 21:08:10,528 INFO] Epoch:6, Snapshot: 287; Loss: 0.5860
+[2024-06-11 21:08:11,403 INFO] Epoch:6, Snapshot: 288; Loss: 0.6204
+[2024-06-11 21:08:12,233 INFO] Epoch:6, Snapshot: 289; Loss: 0.6428
+[2024-06-11 21:08:13,045 INFO] Epoch:6, Snapshot: 290; Loss: 0.6560
+[2024-06-11 21:08:13,858 INFO] Epoch:6, Snapshot: 291; Loss: 0.6447
+[2024-06-11 21:08:14,701 INFO] Epoch:6, Snapshot: 292; Loss: 0.6432
+[2024-06-11 21:08:15,545 INFO] Epoch:6, Snapshot: 293; Loss: 0.6424
+[2024-06-11 21:08:16,405 INFO] Epoch:6, Snapshot: 294; Loss: 0.6629
+[2024-06-11 21:08:17,233 INFO] Epoch:6, Snapshot: 295; Loss: 0.5997
+[2024-06-11 21:08:18,080 INFO] Epoch:6, Snapshot: 296; Loss: 0.6029
+[2024-06-11 21:08:18,921 INFO] Epoch:6, Snapshot: 297; Loss: 0.6029
+[2024-06-11 21:08:19,765 INFO] Epoch:6, Snapshot: 298; Loss: 0.5986
+[2024-06-11 21:08:20,588 INFO] Epoch:6, Snapshot: 299; Loss: 0.5951
+[2024-06-11 21:08:21,390 INFO] Epoch:6, Snapshot: 300; Loss: 0.5659
+[2024-06-11 21:08:22,218 INFO] Epoch:6, Snapshot: 301; Loss: 0.6175
+[2024-06-11 21:08:23,062 INFO] Epoch:6, Snapshot: 302; Loss: 0.6606
+[2024-06-11 21:08:23,906 INFO] Epoch:6, Snapshot: 303; Loss: 0.5698
+[2024-06-11 21:08:24,750 INFO] Epoch:6, Snapshot: 304; Loss: 0.5676
+[2024-06-11 21:08:25,584 INFO] Epoch:6, Snapshot: 305; Loss: 0.6101
+[2024-06-11 21:08:26,438 INFO] Epoch:6, Snapshot: 306; Loss: 0.5979
+[2024-06-11 21:08:27,266 INFO] Epoch:6, Snapshot: 307; Loss: 0.6451
+[2024-06-11 21:08:28,110 INFO] Epoch:6, Snapshot: 308; Loss: 0.6211
+[2024-06-11 21:08:28,970 INFO] Epoch:6, Snapshot: 309; Loss: 0.6402
+[2024-06-11 21:08:29,830 INFO] Epoch:6, Snapshot: 310; Loss: 0.5733
+[2024-06-11 21:08:30,642 INFO] Epoch:6, Snapshot: 311; Loss: 0.5827
+[2024-06-11 21:08:31,455 INFO] Epoch:6, Snapshot: 312; Loss: 0.6091
+[2024-06-11 21:08:32,315 INFO] Epoch:6, Snapshot: 313; Loss: 0.6459
+[2024-06-11 21:08:33,159 INFO] Epoch:6, Snapshot: 314; Loss: 0.5878
+[2024-06-11 21:08:34,004 INFO] Epoch:6, Snapshot: 315; Loss: 0.6214
+[2024-06-11 21:08:34,817 INFO] Epoch:6, Snapshot: 316; Loss: 0.6142
+[2024-06-11 21:08:35,629 INFO] Epoch:6, Snapshot: 317; Loss: 0.6219
+[2024-06-11 21:12:57,211 INFO] ==========================================================================================
+[2024-06-11 21:12:57,211 INFO] Epoch:6, Loss: 0.6396, Time: 550.811, GPU: 566.0MiB
+[2024-06-11 21:12:57,211 INFO] Epoch:6, Accuracy: 0.9033; F1: 0.9102; Recall: 0.9247; Precision: 0.9036; ROC AUC: 0.9033, Memory: 565.9653, time: 727.9407
+[2024-06-11 21:12:58,102 INFO] Epoch:7, Snapshot: 0; Loss: 0.8239
+[2024-06-11 21:12:59,118 INFO] Epoch:7, Snapshot: 1; Loss: 0.7124
+[2024-06-11 21:13:00,134 INFO] Epoch:7, Snapshot: 2; Loss: 0.7139
+[2024-06-11 21:13:01,243 INFO] Epoch:7, Snapshot: 3; Loss: 0.7202
+[2024-06-11 21:13:02,306 INFO] Epoch:7, Snapshot: 4; Loss: 0.7016
+[2024-06-11 21:13:03,328 INFO] Epoch:7, Snapshot: 5; Loss: 0.6688
+[2024-06-11 21:13:04,323 INFO] Epoch:7, Snapshot: 6; Loss: 0.6665
+[2024-06-11 21:13:05,386 INFO] Epoch:7, Snapshot: 7; Loss: 0.6561
+[2024-06-11 21:13:06,448 INFO] Epoch:7, Snapshot: 8; Loss: 0.6625
+[2024-06-11 21:13:07,496 INFO] Epoch:7, Snapshot: 9; Loss: 0.6596
+[2024-06-11 21:13:08,527 INFO] Epoch:7, Snapshot: 10; Loss: 0.6168
+[2024-06-11 21:13:09,528 INFO] Epoch:7, Snapshot: 11; Loss: 0.6838
+[2024-06-11 21:13:10,528 INFO] Epoch:7, Snapshot: 12; Loss: 0.5976
+[2024-06-11 21:13:11,544 INFO] Epoch:7, Snapshot: 13; Loss: 0.6115
+[2024-06-11 21:13:12,607 INFO] Epoch:7, Snapshot: 14; Loss: 0.6550
+[2024-06-11 21:13:13,685 INFO] Epoch:7, Snapshot: 15; Loss: 0.5945
+[2024-06-11 21:13:14,763 INFO] Epoch:7, Snapshot: 16; Loss: 0.5787
+[2024-06-11 21:13:15,841 INFO] Epoch:7, Snapshot: 17; Loss: 0.5792
+[2024-06-11 21:13:16,888 INFO] Epoch:7, Snapshot: 18; Loss: 0.6027
+[2024-06-11 21:13:17,841 INFO] Epoch:7, Snapshot: 19; Loss: 0.6603
+[2024-06-11 21:13:18,717 INFO] Epoch:7, Snapshot: 20; Loss: 0.6958
+[2024-06-11 21:13:19,606 INFO] Epoch:7, Snapshot: 21; Loss: 0.6361
+[2024-06-11 21:13:20,483 INFO] Epoch:7, Snapshot: 22; Loss: 0.6204
+[2024-06-11 21:13:21,389 INFO] Epoch:7, Snapshot: 23; Loss: 0.6258
+[2024-06-11 21:13:22,313 INFO] Epoch:7, Snapshot: 24; Loss: 0.6114
+[2024-06-11 21:13:23,222 INFO] Epoch:7, Snapshot: 25; Loss: 0.6763
+[2024-06-11 21:13:24,126 INFO] Epoch:7, Snapshot: 26; Loss: 0.6297
+[2024-06-11 21:13:24,996 INFO] Epoch:7, Snapshot: 27; Loss: 0.6234
+[2024-06-11 21:13:25,887 INFO] Epoch:7, Snapshot: 28; Loss: 0.6640
+[2024-06-11 21:13:26,888 INFO] Epoch:7, Snapshot: 29; Loss: 0.5974
+[2024-06-11 21:13:27,810 INFO] Epoch:7, Snapshot: 30; Loss: 0.6740
+[2024-06-11 21:13:28,748 INFO] Epoch:7, Snapshot: 31; Loss: 0.6155
+[2024-06-11 21:13:29,730 INFO] Epoch:7, Snapshot: 32; Loss: 0.6419
+[2024-06-11 21:13:30,705 INFO] Epoch:7, Snapshot: 33; Loss: 0.7070
+[2024-06-11 21:13:31,641 INFO] Epoch:7, Snapshot: 34; Loss: 0.6514
+[2024-06-11 21:13:32,581 INFO] Epoch:7, Snapshot: 35; Loss: 0.6386
+[2024-06-11 21:13:33,521 INFO] Epoch:7, Snapshot: 36; Loss: 0.6559
+[2024-06-11 21:13:34,431 INFO] Epoch:7, Snapshot: 37; Loss: 0.6178
+[2024-06-11 21:13:35,361 INFO] Epoch:7, Snapshot: 38; Loss: 0.6422
+[2024-06-11 21:13:36,297 INFO] Epoch:7, Snapshot: 39; Loss: 0.6174
+[2024-06-11 21:13:37,299 INFO] Epoch:7, Snapshot: 40; Loss: 0.6008
+[2024-06-11 21:13:38,266 INFO] Epoch:7, Snapshot: 41; Loss: 0.6466
+[2024-06-11 21:13:39,197 INFO] Epoch:7, Snapshot: 42; Loss: 0.6202
+[2024-06-11 21:13:40,138 INFO] Epoch:7, Snapshot: 43; Loss: 0.6474
+[2024-06-11 21:13:41,093 INFO] Epoch:7, Snapshot: 44; Loss: 0.6813
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+[2024-06-11 21:15:11,170 INFO] Epoch:7, Snapshot: 142; Loss: 0.6535
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+[2024-06-11 21:15:15,781 INFO] Epoch:7, Snapshot: 147; Loss: 0.6394
+[2024-06-11 21:15:16,719 INFO] Epoch:7, Snapshot: 148; Loss: 0.6481
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+[2024-06-11 21:15:22,251 INFO] Epoch:7, Snapshot: 154; Loss: 0.6564
+[2024-06-11 21:15:23,126 INFO] Epoch:7, Snapshot: 155; Loss: 0.6273
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+[2024-06-11 21:15:24,939 INFO] Epoch:7, Snapshot: 157; Loss: 0.6237
+[2024-06-11 21:15:25,861 INFO] Epoch:7, Snapshot: 158; Loss: 0.6612
+[2024-06-11 21:15:26,751 INFO] Epoch:7, Snapshot: 159; Loss: 0.6461
+[2024-06-11 21:15:27,658 INFO] Epoch:7, Snapshot: 160; Loss: 0.5853
+[2024-06-11 21:15:28,549 INFO] Epoch:7, Snapshot: 161; Loss: 0.5958
+[2024-06-11 21:15:29,440 INFO] Epoch:7, Snapshot: 162; Loss: 0.6433
+[2024-06-11 21:15:30,361 INFO] Epoch:7, Snapshot: 163; Loss: 0.6392
+[2024-06-11 21:15:31,268 INFO] Epoch:7, Snapshot: 164; Loss: 0.6211
+[2024-06-11 21:15:32,190 INFO] Epoch:7, Snapshot: 165; Loss: 0.5910
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+[2024-06-11 21:15:34,878 INFO] Epoch:7, Snapshot: 168; Loss: 0.5771
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+[2024-06-11 21:15:37,659 INFO] Epoch:7, Snapshot: 171; Loss: 0.6161
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+[2024-06-11 21:15:40,348 INFO] Epoch:7, Snapshot: 174; Loss: 0.6346
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+[2024-06-11 21:17:10,070 INFO] Epoch:7, Snapshot: 274; Loss: 0.6228
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+[2024-06-11 21:17:14,281 INFO] Epoch:7, Snapshot: 279; Loss: 0.6443
+[2024-06-11 21:17:15,103 INFO] Epoch:7, Snapshot: 280; Loss: 0.5843
+[2024-06-11 21:17:15,963 INFO] Epoch:7, Snapshot: 281; Loss: 0.6118
+[2024-06-11 21:17:16,806 INFO] Epoch:7, Snapshot: 282; Loss: 0.6094
+[2024-06-11 21:17:17,666 INFO] Epoch:7, Snapshot: 283; Loss: 0.6152
+[2024-06-11 21:17:18,506 INFO] Epoch:7, Snapshot: 284; Loss: 0.6344
+[2024-06-11 21:17:19,324 INFO] Epoch:7, Snapshot: 285; Loss: 0.6269
+[2024-06-11 21:17:20,168 INFO] Epoch:7, Snapshot: 286; Loss: 0.6184
+[2024-06-11 21:17:21,028 INFO] Epoch:7, Snapshot: 287; Loss: 0.5747
+[2024-06-11 21:17:21,856 INFO] Epoch:7, Snapshot: 288; Loss: 0.6206
+[2024-06-11 21:17:22,689 INFO] Epoch:7, Snapshot: 289; Loss: 0.6935
+[2024-06-11 21:17:23,513 INFO] Epoch:7, Snapshot: 290; Loss: 0.5993
+[2024-06-11 21:17:24,357 INFO] Epoch:7, Snapshot: 291; Loss: 0.6297
+[2024-06-11 21:17:25,217 INFO] Epoch:7, Snapshot: 292; Loss: 0.6579
+[2024-06-11 21:17:26,046 INFO] Epoch:7, Snapshot: 293; Loss: 0.6367
+[2024-06-11 21:17:26,874 INFO] Epoch:7, Snapshot: 294; Loss: 0.5929
+[2024-06-11 21:17:27,686 INFO] Epoch:7, Snapshot: 295; Loss: 0.6763
+[2024-06-11 21:17:28,546 INFO] Epoch:7, Snapshot: 296; Loss: 0.6141
+[2024-06-11 21:17:29,406 INFO] Epoch:7, Snapshot: 297; Loss: 0.5841
+[2024-06-11 21:17:30,265 INFO] Epoch:7, Snapshot: 298; Loss: 0.5741
+[2024-06-11 21:17:31,094 INFO] Epoch:7, Snapshot: 299; Loss: 0.5749
+[2024-06-11 21:17:31,922 INFO] Epoch:7, Snapshot: 300; Loss: 0.5552
+[2024-06-11 21:17:32,781 INFO] Epoch:7, Snapshot: 301; Loss: 0.6018
+[2024-06-11 21:17:33,640 INFO] Epoch:7, Snapshot: 302; Loss: 0.6367
+[2024-06-11 21:17:34,469 INFO] Epoch:7, Snapshot: 303; Loss: 0.6132
+[2024-06-11 21:17:35,297 INFO] Epoch:7, Snapshot: 304; Loss: 0.6308
+[2024-06-11 21:17:36,141 INFO] Epoch:7, Snapshot: 305; Loss: 0.5807
+[2024-06-11 21:17:37,000 INFO] Epoch:7, Snapshot: 306; Loss: 0.6297
+[2024-06-11 21:17:37,828 INFO] Epoch:7, Snapshot: 307; Loss: 0.5598
+[2024-06-11 21:17:38,641 INFO] Epoch:7, Snapshot: 308; Loss: 0.6019
+[2024-06-11 21:17:39,469 INFO] Epoch:7, Snapshot: 309; Loss: 0.6168
+[2024-06-11 21:17:40,313 INFO] Epoch:7, Snapshot: 310; Loss: 0.5380
+[2024-06-11 21:17:41,188 INFO] Epoch:7, Snapshot: 311; Loss: 0.6236
+[2024-06-11 21:17:42,027 INFO] Epoch:7, Snapshot: 312; Loss: 0.6270
+[2024-06-11 21:17:42,830 INFO] Epoch:7, Snapshot: 313; Loss: 0.5544
+[2024-06-11 21:17:43,658 INFO] Epoch:7, Snapshot: 314; Loss: 0.6068
+[2024-06-11 21:17:44,517 INFO] Epoch:7, Snapshot: 315; Loss: 0.6579
+[2024-06-11 21:17:45,377 INFO] Epoch:7, Snapshot: 316; Loss: 0.5563
+[2024-06-11 21:17:46,221 INFO] Epoch:7, Snapshot: 317; Loss: 0.6029
+[2024-06-11 21:22:09,022 INFO] ==========================================================================================
+[2024-06-11 21:22:09,022 INFO] Epoch:7, Loss: 0.6244, Time: 551.812, GPU: 566.0MiB
+[2024-06-11 21:22:09,022 INFO] Epoch:7, Accuracy: 0.9139; F1: 0.9184; Recall: 0.9172; Precision: 0.9259; ROC AUC: 0.9139, Memory: 565.9653, time: 731.0649
+[2024-06-11 21:22:09,944 INFO] Epoch:8, Snapshot: 0; Loss: 0.7600
+[2024-06-11 21:22:10,960 INFO] Epoch:8, Snapshot: 1; Loss: 0.7221
+[2024-06-11 21:22:11,961 INFO] Epoch:8, Snapshot: 2; Loss: 0.6892
+[2024-06-11 21:22:13,070 INFO] Epoch:8, Snapshot: 3; Loss: 0.6971
+[2024-06-11 21:22:14,118 INFO] Epoch:8, Snapshot: 4; Loss: 0.6779
+[2024-06-11 21:22:15,151 INFO] Epoch:8, Snapshot: 5; Loss: 0.7060
+[2024-06-11 21:22:16,198 INFO] Epoch:8, Snapshot: 6; Loss: 0.6786
+[2024-06-11 21:22:17,261 INFO] Epoch:8, Snapshot: 7; Loss: 0.6752
+[2024-06-11 21:22:18,371 INFO] Epoch:8, Snapshot: 8; Loss: 0.6467
+[2024-06-11 21:22:19,419 INFO] Epoch:8, Snapshot: 9; Loss: 0.6407
+[2024-06-11 21:22:20,451 INFO] Epoch:8, Snapshot: 10; Loss: 0.6326
+[2024-06-11 21:22:21,435 INFO] Epoch:8, Snapshot: 11; Loss: 0.6429
+[2024-06-11 21:22:22,497 INFO] Epoch:8, Snapshot: 12; Loss: 0.6347
+[2024-06-11 21:22:23,545 INFO] Epoch:8, Snapshot: 13; Loss: 0.5947
+[2024-06-11 21:22:24,579 INFO] Epoch:8, Snapshot: 14; Loss: 0.6461
+[2024-06-11 21:22:25,655 INFO] Epoch:8, Snapshot: 15; Loss: 0.6172
+[2024-06-11 21:22:26,749 INFO] Epoch:8, Snapshot: 16; Loss: 0.5766
+[2024-06-11 21:22:27,798 INFO] Epoch:8, Snapshot: 17; Loss: 0.5704
+[2024-06-11 21:22:28,821 INFO] Epoch:8, Snapshot: 18; Loss: 0.5915
+[2024-06-11 21:22:29,764 INFO] Epoch:8, Snapshot: 19; Loss: 0.6252
+[2024-06-11 21:22:30,655 INFO] Epoch:8, Snapshot: 20; Loss: 0.6677
+[2024-06-11 21:22:31,545 INFO] Epoch:8, Snapshot: 21; Loss: 0.6732
+[2024-06-11 21:22:32,468 INFO] Epoch:8, Snapshot: 22; Loss: 0.6123
+[2024-06-11 21:22:33,389 INFO] Epoch:8, Snapshot: 23; Loss: 0.6048
+[2024-06-11 21:22:34,312 INFO] Epoch:8, Snapshot: 24; Loss: 0.5940
+[2024-06-11 21:22:35,218 INFO] Epoch:8, Snapshot: 25; Loss: 0.6107
+[2024-06-11 21:22:36,109 INFO] Epoch:8, Snapshot: 26; Loss: 0.6283
+[2024-06-11 21:22:37,015 INFO] Epoch:8, Snapshot: 27; Loss: 0.5611
+[2024-06-11 21:22:37,906 INFO] Epoch:8, Snapshot: 28; Loss: 0.6262
+[2024-06-11 21:22:38,860 INFO] Epoch:8, Snapshot: 29; Loss: 0.6269
+[2024-06-11 21:22:39,781 INFO] Epoch:8, Snapshot: 30; Loss: 0.7083
+[2024-06-11 21:22:40,766 INFO] Epoch:8, Snapshot: 31; Loss: 0.7024
+[2024-06-11 21:22:41,697 INFO] Epoch:8, Snapshot: 32; Loss: 0.5906
+[2024-06-11 21:22:42,641 INFO] Epoch:8, Snapshot: 33; Loss: 0.7370
+[2024-06-11 21:22:43,579 INFO] Epoch:8, Snapshot: 34; Loss: 0.5667
+[2024-06-11 21:22:44,565 INFO] Epoch:8, Snapshot: 35; Loss: 0.6318
+[2024-06-11 21:22:45,550 INFO] Epoch:8, Snapshot: 36; Loss: 0.5951
+[2024-06-11 21:22:46,550 INFO] Epoch:8, Snapshot: 37; Loss: 0.6755
+[2024-06-11 21:22:47,488 INFO] Epoch:8, Snapshot: 38; Loss: 0.5635
+[2024-06-11 21:22:48,426 INFO] Epoch:8, Snapshot: 39; Loss: 0.6610
+[2024-06-11 21:22:49,379 INFO] Epoch:8, Snapshot: 40; Loss: 0.7092
+[2024-06-11 21:22:50,365 INFO] Epoch:8, Snapshot: 41; Loss: 0.5437
+[2024-06-11 21:22:51,334 INFO] Epoch:8, Snapshot: 42; Loss: 0.6698
+[2024-06-11 21:22:52,256 INFO] Epoch:8, Snapshot: 43; Loss: 0.5417
+[2024-06-11 21:22:53,193 INFO] Epoch:8, Snapshot: 44; Loss: 0.6622
+[2024-06-11 21:22:54,115 INFO] Epoch:8, Snapshot: 45; Loss: 0.6090
+[2024-06-11 21:22:55,021 INFO] Epoch:8, Snapshot: 46; Loss: 0.6793
+[2024-06-11 21:22:55,943 INFO] Epoch:8, Snapshot: 47; Loss: 0.6372
+[2024-06-11 21:22:56,881 INFO] Epoch:8, Snapshot: 48; Loss: 0.6290
+[2024-06-11 21:22:57,865 INFO] Epoch:8, Snapshot: 49; Loss: 0.6793
+[2024-06-11 21:22:58,817 INFO] Epoch:8, Snapshot: 50; Loss: 0.5461
+[2024-06-11 21:22:59,772 INFO] Epoch:8, Snapshot: 51; Loss: 0.6655
+[2024-06-11 21:23:00,741 INFO] Epoch:8, Snapshot: 52; Loss: 0.6154
+[2024-06-11 21:23:01,678 INFO] Epoch:8, Snapshot: 53; Loss: 0.5996
+[2024-06-11 21:23:02,601 INFO] Epoch:8, Snapshot: 54; Loss: 0.6546
+[2024-06-11 21:23:03,553 INFO] Epoch:8, Snapshot: 55; Loss: 0.5867
+[2024-06-11 21:23:04,506 INFO] Epoch:8, Snapshot: 56; Loss: 0.6649
+[2024-06-11 21:23:05,491 INFO] Epoch:8, Snapshot: 57; Loss: 0.5608
+[2024-06-11 21:23:06,444 INFO] Epoch:8, Snapshot: 58; Loss: 0.6878
+[2024-06-11 21:23:07,388 INFO] Epoch:8, Snapshot: 59; Loss: 0.5823
+[2024-06-11 21:23:08,319 INFO] Epoch:8, Snapshot: 60; Loss: 0.6816
+[2024-06-11 21:23:09,273 INFO] Epoch:8, Snapshot: 61; Loss: 0.5958
+[2024-06-11 21:23:10,242 INFO] Epoch:8, Snapshot: 62; Loss: 0.5517
+[2024-06-11 21:23:11,196 INFO] Epoch:8, Snapshot: 63; Loss: 0.6645
+[2024-06-11 21:23:12,166 INFO] Epoch:8, Snapshot: 64; Loss: 0.5195
+[2024-06-11 21:23:13,088 INFO] Epoch:8, Snapshot: 65; Loss: 0.6734
+[2024-06-11 21:23:13,963 INFO] Epoch:8, Snapshot: 66; Loss: 0.5705
+[2024-06-11 21:23:14,869 INFO] Epoch:8, Snapshot: 67; Loss: 0.6084
+[2024-06-11 21:23:15,776 INFO] Epoch:8, Snapshot: 68; Loss: 0.6002
+[2024-06-11 21:23:16,698 INFO] Epoch:8, Snapshot: 69; Loss: 0.6313
+[2024-06-11 21:23:17,621 INFO] Epoch:8, Snapshot: 70; Loss: 0.6210
+[2024-06-11 21:23:18,543 INFO] Epoch:8, Snapshot: 71; Loss: 0.6666
+[2024-06-11 21:23:19,450 INFO] Epoch:8, Snapshot: 72; Loss: 0.6170
+[2024-06-11 21:23:20,372 INFO] Epoch:8, Snapshot: 73; Loss: 0.6620
+[2024-06-11 21:23:21,278 INFO] Epoch:8, Snapshot: 74; Loss: 0.5872
+[2024-06-11 21:23:22,231 INFO] Epoch:8, Snapshot: 75; Loss: 0.5545
+[2024-06-11 21:23:23,200 INFO] Epoch:8, Snapshot: 76; Loss: 0.5822
+[2024-06-11 21:23:24,138 INFO] Epoch:8, Snapshot: 77; Loss: 0.7425
+[2024-06-11 21:23:25,061 INFO] Epoch:8, Snapshot: 78; Loss: 0.4802
+[2024-06-11 21:23:25,967 INFO] Epoch:8, Snapshot: 79; Loss: 0.6783
+[2024-06-11 21:23:26,920 INFO] Epoch:8, Snapshot: 80; Loss: 0.5588
+[2024-06-11 21:23:27,842 INFO] Epoch:8, Snapshot: 81; Loss: 0.6330
+[2024-06-11 21:23:28,759 INFO] Epoch:8, Snapshot: 82; Loss: 0.5280
+[2024-06-11 21:23:29,640 INFO] Epoch:8, Snapshot: 83; Loss: 0.6048
+[2024-06-11 21:23:30,530 INFO] Epoch:8, Snapshot: 84; Loss: 0.6333
+[2024-06-11 21:23:31,437 INFO] Epoch:8, Snapshot: 85; Loss: 0.6521
+[2024-06-11 21:23:32,359 INFO] Epoch:8, Snapshot: 86; Loss: 0.6310
+[2024-06-11 21:23:33,313 INFO] Epoch:8, Snapshot: 87; Loss: 0.6476
+[2024-06-11 21:23:34,219 INFO] Epoch:8, Snapshot: 88; Loss: 0.6282
+[2024-06-11 21:23:35,126 INFO] Epoch:8, Snapshot: 89; Loss: 0.5912
+[2024-06-11 21:23:36,017 INFO] Epoch:8, Snapshot: 90; Loss: 0.7080
+[2024-06-11 21:23:36,923 INFO] Epoch:8, Snapshot: 91; Loss: 0.6377
+[2024-06-11 21:23:37,861 INFO] Epoch:8, Snapshot: 92; Loss: 0.5224
+[2024-06-11 21:23:38,799 INFO] Epoch:8, Snapshot: 93; Loss: 0.6120
+[2024-06-11 21:23:39,721 INFO] Epoch:8, Snapshot: 94; Loss: 0.6344
+[2024-06-11 21:23:40,596 INFO] Epoch:8, Snapshot: 95; Loss: 0.5307
+[2024-06-11 21:23:41,487 INFO] Epoch:8, Snapshot: 96; Loss: 0.5973
+[2024-06-11 21:23:42,425 INFO] Epoch:8, Snapshot: 97; Loss: 0.5980
+[2024-06-11 21:23:43,378 INFO] Epoch:8, Snapshot: 98; Loss: 0.5448
+[2024-06-11 21:23:44,300 INFO] Epoch:8, Snapshot: 99; Loss: 0.6424
+[2024-06-11 21:23:45,222 INFO] Epoch:8, Snapshot: 100; Loss: 0.6200
+[2024-06-11 21:23:46,113 INFO] Epoch:8, Snapshot: 101; Loss: 0.6580
+[2024-06-11 21:23:47,004 INFO] Epoch:8, Snapshot: 102; Loss: 0.6075
+[2024-06-11 21:23:47,895 INFO] Epoch:8, Snapshot: 103; Loss: 0.6138
+[2024-06-11 21:23:48,818 INFO] Epoch:8, Snapshot: 104; Loss: 0.6006
+[2024-06-11 21:23:49,724 INFO] Epoch:8, Snapshot: 105; Loss: 0.5871
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+[2024-06-11 21:23:51,521 INFO] Epoch:8, Snapshot: 107; Loss: 0.5537
+[2024-06-11 21:23:52,428 INFO] Epoch:8, Snapshot: 108; Loss: 0.5830
+[2024-06-11 21:23:53,334 INFO] Epoch:8, Snapshot: 109; Loss: 0.6078
+[2024-06-11 21:23:54,241 INFO] Epoch:8, Snapshot: 110; Loss: 0.5783
+[2024-06-11 21:23:55,163 INFO] Epoch:8, Snapshot: 111; Loss: 0.5686
+[2024-06-11 21:23:56,148 INFO] Epoch:8, Snapshot: 112; Loss: 0.5818
+[2024-06-11 21:23:57,117 INFO] Epoch:8, Snapshot: 113; Loss: 0.5977
+[2024-06-11 21:23:58,039 INFO] Epoch:8, Snapshot: 114; Loss: 0.5769
+[2024-06-11 21:23:58,915 INFO] Epoch:8, Snapshot: 115; Loss: 0.6025
+[2024-06-11 21:23:59,806 INFO] Epoch:8, Snapshot: 116; Loss: 0.6194
+[2024-06-11 21:24:00,728 INFO] Epoch:8, Snapshot: 117; Loss: 0.6548
+[2024-06-11 21:24:01,666 INFO] Epoch:8, Snapshot: 118; Loss: 0.5290
+[2024-06-11 21:24:02,588 INFO] Epoch:8, Snapshot: 119; Loss: 0.5646
+[2024-06-11 21:24:03,525 INFO] Epoch:8, Snapshot: 120; Loss: 0.6431
+[2024-06-11 21:24:04,432 INFO] Epoch:8, Snapshot: 121; Loss: 0.6495
+[2024-06-11 21:24:05,338 INFO] Epoch:8, Snapshot: 122; Loss: 0.6720
+[2024-06-11 21:24:06,229 INFO] Epoch:8, Snapshot: 123; Loss: 0.5819
+[2024-06-11 21:24:07,183 INFO] Epoch:8, Snapshot: 124; Loss: 0.5628
+[2024-06-11 21:24:08,120 INFO] Epoch:8, Snapshot: 125; Loss: 0.5602
+[2024-06-11 21:24:09,027 INFO] Epoch:8, Snapshot: 126; Loss: 0.5648
+[2024-06-11 21:24:09,949 INFO] Epoch:8, Snapshot: 127; Loss: 0.6717
+[2024-06-11 21:24:10,902 INFO] Epoch:8, Snapshot: 128; Loss: 0.4747
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+[2024-06-11 21:24:12,746 INFO] Epoch:8, Snapshot: 130; Loss: 0.6295
+[2024-06-11 21:24:13,718 INFO] Epoch:8, Snapshot: 131; Loss: 0.6018
+[2024-06-11 21:24:14,590 INFO] Epoch:8, Snapshot: 132; Loss: 0.6116
+[2024-06-11 21:24:15,528 INFO] Epoch:8, Snapshot: 133; Loss: 0.6810
+[2024-06-11 21:24:16,465 INFO] Epoch:8, Snapshot: 134; Loss: 0.5015
+[2024-06-11 21:24:17,387 INFO] Epoch:8, Snapshot: 135; Loss: 0.5890
+[2024-06-11 21:24:18,342 INFO] Epoch:8, Snapshot: 136; Loss: 0.5418
+[2024-06-11 21:24:19,248 INFO] Epoch:8, Snapshot: 137; Loss: 0.5502
+[2024-06-11 21:24:20,139 INFO] Epoch:8, Snapshot: 138; Loss: 0.6841
+[2024-06-11 21:24:21,046 INFO] Epoch:8, Snapshot: 139; Loss: 0.5611
+[2024-06-11 21:24:21,952 INFO] Epoch:8, Snapshot: 140; Loss: 0.6431
+[2024-06-11 21:24:22,890 INFO] Epoch:8, Snapshot: 141; Loss: 0.5821
+[2024-06-11 21:24:23,843 INFO] Epoch:8, Snapshot: 142; Loss: 0.5625
+[2024-06-11 21:24:24,766 INFO] Epoch:8, Snapshot: 143; Loss: 0.6187
+[2024-06-11 21:24:25,735 INFO] Epoch:8, Snapshot: 144; Loss: 0.6294
+[2024-06-11 21:24:26,676 INFO] Epoch:8, Snapshot: 145; Loss: 0.6320
+[2024-06-11 21:24:27,626 INFO] Epoch:8, Snapshot: 146; Loss: 0.6099
+[2024-06-11 21:24:28,517 INFO] Epoch:8, Snapshot: 147; Loss: 0.5886
+[2024-06-11 21:24:29,423 INFO] Epoch:8, Snapshot: 148; Loss: 0.5620
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+[2024-06-11 21:24:35,940 INFO] Epoch:8, Snapshot: 155; Loss: 0.6503
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+[2024-06-11 21:24:38,643 INFO] Epoch:8, Snapshot: 158; Loss: 0.5631
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+[2024-06-11 21:24:40,487 INFO] Epoch:8, Snapshot: 160; Loss: 0.6044
+[2024-06-11 21:24:41,409 INFO] Epoch:8, Snapshot: 161; Loss: 0.6084
+[2024-06-11 21:24:42,347 INFO] Epoch:8, Snapshot: 162; Loss: 0.6401
+[2024-06-11 21:24:43,285 INFO] Epoch:8, Snapshot: 163; Loss: 0.6655
+[2024-06-11 21:24:44,223 INFO] Epoch:8, Snapshot: 164; Loss: 0.6323
+[2024-06-11 21:24:45,130 INFO] Epoch:8, Snapshot: 165; Loss: 0.5467
+[2024-06-11 21:24:46,021 INFO] Epoch:8, Snapshot: 166; Loss: 0.5898
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+[2024-06-11 21:24:48,694 INFO] Epoch:8, Snapshot: 169; Loss: 0.5560
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+[2024-06-11 21:24:50,570 INFO] Epoch:8, Snapshot: 171; Loss: 0.5927
+[2024-06-11 21:24:51,493 INFO] Epoch:8, Snapshot: 172; Loss: 0.6056
+[2024-06-11 21:24:52,430 INFO] Epoch:8, Snapshot: 173; Loss: 0.5523
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+[2024-06-11 21:24:55,233 INFO] Epoch:8, Snapshot: 176; Loss: 0.5150
+[2024-06-11 21:24:56,119 INFO] Epoch:8, Snapshot: 177; Loss: 0.5975
+[2024-06-11 21:24:57,041 INFO] Epoch:8, Snapshot: 178; Loss: 0.5890
+[2024-06-11 21:24:57,963 INFO] Epoch:8, Snapshot: 179; Loss: 0.5660
+[2024-06-11 21:24:58,853 INFO] Epoch:8, Snapshot: 180; Loss: 0.5063
+[2024-06-11 21:24:59,776 INFO] Epoch:8, Snapshot: 181; Loss: 0.6565
+[2024-06-11 21:25:00,698 INFO] Epoch:8, Snapshot: 182; Loss: 0.5629
+[2024-06-11 21:25:01,636 INFO] Epoch:8, Snapshot: 183; Loss: 0.5319
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+[2024-06-11 21:25:50,619 INFO] Epoch:8, Snapshot: 237; Loss: 0.5345
+[2024-06-11 21:25:51,541 INFO] Epoch:8, Snapshot: 238; Loss: 0.5814
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+[2024-06-11 21:25:55,213 INFO] Epoch:8, Snapshot: 242; Loss: 0.5335
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+[2024-06-11 21:25:56,995 INFO] Epoch:8, Snapshot: 244; Loss: 0.6202
+[2024-06-11 21:25:57,902 INFO] Epoch:8, Snapshot: 245; Loss: 0.5293
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+[2024-06-11 21:26:03,419 INFO] Epoch:8, Snapshot: 251; Loss: 0.5262
+[2024-06-11 21:26:04,262 INFO] Epoch:8, Snapshot: 252; Loss: 0.7611
+[2024-06-11 21:26:05,107 INFO] Epoch:8, Snapshot: 253; Loss: 0.7870
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+[2024-06-11 21:26:06,802 INFO] Epoch:8, Snapshot: 255; Loss: 0.6395
+[2024-06-11 21:26:07,780 INFO] Epoch:8, Snapshot: 256; Loss: 0.7421
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+[2024-06-11 21:26:09,562 INFO] Epoch:8, Snapshot: 258; Loss: 0.6657
+[2024-06-11 21:26:10,437 INFO] Epoch:8, Snapshot: 259; Loss: 0.7727
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+[2024-06-11 21:26:16,251 INFO] Epoch:8, Snapshot: 266; Loss: 0.6892
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+[2024-06-11 21:26:22,159 INFO] Epoch:8, Snapshot: 273; Loss: 0.6043
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+[2024-06-11 21:26:24,690 INFO] Epoch:8, Snapshot: 276; Loss: 0.6037
+[2024-06-11 21:26:25,519 INFO] Epoch:8, Snapshot: 277; Loss: 0.6035
+[2024-06-11 21:26:26,347 INFO] Epoch:8, Snapshot: 278; Loss: 0.5880
+[2024-06-11 21:26:27,191 INFO] Epoch:8, Snapshot: 279; Loss: 0.6278
+[2024-06-11 21:26:28,050 INFO] Epoch:8, Snapshot: 280; Loss: 0.5771
+[2024-06-11 21:26:28,879 INFO] Epoch:8, Snapshot: 281; Loss: 0.6164
+[2024-06-11 21:26:29,707 INFO] Epoch:8, Snapshot: 282; Loss: 0.5803
+[2024-06-11 21:26:30,536 INFO] Epoch:8, Snapshot: 283; Loss: 0.5600
+[2024-06-11 21:26:31,380 INFO] Epoch:8, Snapshot: 284; Loss: 0.5911
+[2024-06-11 21:26:32,255 INFO] Epoch:8, Snapshot: 285; Loss: 0.5881
+[2024-06-11 21:26:33,083 INFO] Epoch:8, Snapshot: 286; Loss: 0.5786
+[2024-06-11 21:26:33,896 INFO] Epoch:8, Snapshot: 287; Loss: 0.5687
+[2024-06-11 21:26:34,713 INFO] Epoch:8, Snapshot: 288; Loss: 0.6481
+[2024-06-11 21:26:35,568 INFO] Epoch:8, Snapshot: 289; Loss: 0.5778
+[2024-06-11 21:26:36,428 INFO] Epoch:8, Snapshot: 290; Loss: 0.6174
+[2024-06-11 21:26:37,273 INFO] Epoch:8, Snapshot: 291; Loss: 0.6317
+[2024-06-11 21:26:38,101 INFO] Epoch:8, Snapshot: 292; Loss: 0.5960
+[2024-06-11 21:26:38,929 INFO] Epoch:8, Snapshot: 293; Loss: 0.5852
+[2024-06-11 21:26:39,774 INFO] Epoch:8, Snapshot: 294; Loss: 0.5933
+[2024-06-11 21:26:40,618 INFO] Epoch:8, Snapshot: 295; Loss: 0.6186
+[2024-06-11 21:26:41,445 INFO] Epoch:8, Snapshot: 296; Loss: 0.5595
+[2024-06-11 21:26:42,258 INFO] Epoch:8, Snapshot: 297; Loss: 0.5746
+[2024-06-11 21:26:43,086 INFO] Epoch:8, Snapshot: 298; Loss: 0.5796
+[2024-06-11 21:26:43,898 INFO] Epoch:8, Snapshot: 299; Loss: 0.5400
+[2024-06-11 21:26:44,758 INFO] Epoch:8, Snapshot: 300; Loss: 0.5398
+[2024-06-11 21:26:45,639 INFO] Epoch:8, Snapshot: 301; Loss: 0.5946
+[2024-06-11 21:26:46,463 INFO] Epoch:8, Snapshot: 302; Loss: 0.6312
+[2024-06-11 21:26:47,275 INFO] Epoch:8, Snapshot: 303; Loss: 0.5168
+[2024-06-11 21:26:48,104 INFO] Epoch:8, Snapshot: 304; Loss: 0.5566
+[2024-06-11 21:26:48,948 INFO] Epoch:8, Snapshot: 305; Loss: 0.5748
+[2024-06-11 21:26:49,807 INFO] Epoch:8, Snapshot: 306; Loss: 0.5675
+[2024-06-11 21:26:50,650 INFO] Epoch:8, Snapshot: 307; Loss: 0.5754
+[2024-06-11 21:26:51,479 INFO] Epoch:8, Snapshot: 308; Loss: 0.6146
+[2024-06-11 21:26:52,307 INFO] Epoch:8, Snapshot: 309; Loss: 0.5758
+[2024-06-11 21:26:53,198 INFO] Epoch:8, Snapshot: 310; Loss: 0.5500
+[2024-06-11 21:26:54,089 INFO] Epoch:8, Snapshot: 311; Loss: 0.5760
+[2024-06-11 21:26:54,902 INFO] Epoch:8, Snapshot: 312; Loss: 0.5861
+[2024-06-11 21:26:55,730 INFO] Epoch:8, Snapshot: 313; Loss: 0.5773
+[2024-06-11 21:26:56,575 INFO] Epoch:8, Snapshot: 314; Loss: 0.5926
+[2024-06-11 21:26:57,450 INFO] Epoch:8, Snapshot: 315; Loss: 0.6689
+[2024-06-11 21:26:58,279 INFO] Epoch:8, Snapshot: 316; Loss: 0.5575
+[2024-06-11 21:26:59,123 INFO] Epoch:8, Snapshot: 317; Loss: 0.5789
+[2024-06-11 21:31:28,550 INFO] ==========================================================================================
+[2024-06-11 21:31:28,550 INFO] Epoch:8, Loss: 0.6097, Time: 559.528, GPU: 566.0MiB
+[2024-06-11 21:31:28,550 INFO] Epoch:8, Accuracy: 0.9116; F1: 0.9175; Recall: 0.9273; Precision: 0.9149; ROC AUC: 0.9117, Memory: 565.9653, time: 746.3914
+[2024-06-11 21:31:29,441 INFO] Epoch:9, Snapshot: 0; Loss: 0.6876
+[2024-06-11 21:31:30,504 INFO] Epoch:9, Snapshot: 1; Loss: 0.7349
+[2024-06-11 21:31:31,551 INFO] Epoch:9, Snapshot: 2; Loss: 0.7163
+[2024-06-11 21:31:32,614 INFO] Epoch:9, Snapshot: 3; Loss: 0.6767
+[2024-06-11 21:31:33,661 INFO] Epoch:9, Snapshot: 4; Loss: 0.6639
+[2024-06-11 21:31:34,740 INFO] Epoch:9, Snapshot: 5; Loss: 0.7185
+[2024-06-11 21:31:35,771 INFO] Epoch:9, Snapshot: 6; Loss: 0.5937
+[2024-06-11 21:31:36,788 INFO] Epoch:9, Snapshot: 7; Loss: 0.6582
+[2024-06-11 21:31:37,835 INFO] Epoch:9, Snapshot: 8; Loss: 0.6119
+[2024-06-11 21:31:38,898 INFO] Epoch:9, Snapshot: 9; Loss: 0.6224
+[2024-06-11 21:31:39,930 INFO] Epoch:9, Snapshot: 10; Loss: 0.6630
+[2024-06-11 21:31:40,883 INFO] Epoch:9, Snapshot: 11; Loss: 0.5974
+[2024-06-11 21:31:41,930 INFO] Epoch:9, Snapshot: 12; Loss: 0.6270
+[2024-06-11 21:31:42,977 INFO] Epoch:9, Snapshot: 13; Loss: 0.5986
+[2024-06-11 21:31:43,993 INFO] Epoch:9, Snapshot: 14; Loss: 0.6070
+[2024-06-11 21:31:45,072 INFO] Epoch:9, Snapshot: 15; Loss: 0.6090
+[2024-06-11 21:31:46,166 INFO] Epoch:9, Snapshot: 16; Loss: 0.5644
+[2024-06-11 21:31:47,213 INFO] Epoch:9, Snapshot: 17; Loss: 0.6445
+[2024-06-11 21:31:48,276 INFO] Epoch:9, Snapshot: 18; Loss: 0.5347
+[2024-06-11 21:31:49,260 INFO] Epoch:9, Snapshot: 19; Loss: 0.6263
+[2024-06-11 21:31:50,197 INFO] Epoch:9, Snapshot: 20; Loss: 0.6878
+[2024-06-11 21:31:51,088 INFO] Epoch:9, Snapshot: 21; Loss: 0.5696
+[2024-06-11 21:31:51,979 INFO] Epoch:9, Snapshot: 22; Loss: 0.6077
+[2024-06-11 21:31:52,870 INFO] Epoch:9, Snapshot: 23; Loss: 0.5792
+[2024-06-11 21:31:53,792 INFO] Epoch:9, Snapshot: 24; Loss: 0.5639
+[2024-06-11 21:31:54,715 INFO] Epoch:9, Snapshot: 25; Loss: 0.6211
+[2024-06-11 21:31:55,621 INFO] Epoch:9, Snapshot: 26; Loss: 0.6546
+[2024-06-11 21:31:56,512 INFO] Epoch:9, Snapshot: 27; Loss: 0.6262
+[2024-06-11 21:31:57,418 INFO] Epoch:9, Snapshot: 28; Loss: 0.6146
+[2024-06-11 21:31:58,340 INFO] Epoch:9, Snapshot: 29; Loss: 0.6298
+[2024-06-11 21:31:59,231 INFO] Epoch:9, Snapshot: 30; Loss: 0.6958
+[2024-06-11 21:32:00,169 INFO] Epoch:9, Snapshot: 31; Loss: 0.6015
+[2024-06-11 21:32:01,122 INFO] Epoch:9, Snapshot: 32; Loss: 0.6322
+[2024-06-11 21:32:02,091 INFO] Epoch:9, Snapshot: 33; Loss: 0.6751
+[2024-06-11 21:32:03,029 INFO] Epoch:9, Snapshot: 34; Loss: 0.5568
+[2024-06-11 21:32:03,998 INFO] Epoch:9, Snapshot: 35; Loss: 0.6549
+[2024-06-11 21:32:04,951 INFO] Epoch:9, Snapshot: 36; Loss: 0.6039
+[2024-06-11 21:32:05,892 INFO] Epoch:9, Snapshot: 37; Loss: 0.5742
+[2024-06-11 21:32:06,827 INFO] Epoch:9, Snapshot: 38; Loss: 0.6101
+[2024-06-11 21:32:07,796 INFO] Epoch:9, Snapshot: 39; Loss: 0.6631
+[2024-06-11 21:32:08,766 INFO] Epoch:9, Snapshot: 40; Loss: 0.5487
+[2024-06-11 21:32:09,751 INFO] Epoch:9, Snapshot: 41; Loss: 0.6192
+[2024-06-11 21:32:10,703 INFO] Epoch:9, Snapshot: 42; Loss: 0.6388
+[2024-06-11 21:32:11,625 INFO] Epoch:9, Snapshot: 43; Loss: 0.7672
+[2024-06-11 21:32:12,595 INFO] Epoch:9, Snapshot: 44; Loss: 0.5520
+[2024-06-11 21:32:13,531 INFO] Epoch:9, Snapshot: 45; Loss: 0.6599
+[2024-06-11 21:32:14,454 INFO] Epoch:9, Snapshot: 46; Loss: 0.5968
+[2024-06-11 21:32:15,376 INFO] Epoch:9, Snapshot: 47; Loss: 0.6516
+[2024-06-11 21:32:16,329 INFO] Epoch:9, Snapshot: 48; Loss: 0.6384
+[2024-06-11 21:32:17,314 INFO] Epoch:9, Snapshot: 49; Loss: 0.6063
+[2024-06-11 21:32:18,252 INFO] Epoch:9, Snapshot: 50; Loss: 0.5730
+[2024-06-11 21:32:19,190 INFO] Epoch:9, Snapshot: 51; Loss: 0.6752
+[2024-06-11 21:32:20,160 INFO] Epoch:9, Snapshot: 52; Loss: 0.5252
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+[2024-06-11 21:32:22,083 INFO] Epoch:9, Snapshot: 54; Loss: 0.6003
+[2024-06-11 21:32:23,020 INFO] Epoch:9, Snapshot: 55; Loss: 0.6327
+[2024-06-11 21:32:23,989 INFO] Epoch:9, Snapshot: 56; Loss: 0.5487
+[2024-06-11 21:32:24,958 INFO] Epoch:9, Snapshot: 57; Loss: 0.5456
+[2024-06-11 21:32:25,895 INFO] Epoch:9, Snapshot: 58; Loss: 0.6162
+[2024-06-11 21:32:26,833 INFO] Epoch:9, Snapshot: 59; Loss: 0.5912
+[2024-06-11 21:32:27,791 INFO] Epoch:9, Snapshot: 60; Loss: 0.5877
+[2024-06-11 21:32:28,739 INFO] Epoch:9, Snapshot: 61; Loss: 0.6263
+[2024-06-11 21:32:29,709 INFO] Epoch:9, Snapshot: 62; Loss: 0.5741
+[2024-06-11 21:32:30,646 INFO] Epoch:9, Snapshot: 63; Loss: 0.6299
+[2024-06-11 21:32:31,584 INFO] Epoch:9, Snapshot: 64; Loss: 0.5199
+[2024-06-11 21:32:32,507 INFO] Epoch:9, Snapshot: 65; Loss: 0.5645
+[2024-06-11 21:32:33,367 INFO] Epoch:9, Snapshot: 66; Loss: 0.6253
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+[2024-06-11 21:32:36,135 INFO] Epoch:9, Snapshot: 69; Loss: 0.5633
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+[2024-06-11 21:32:38,808 INFO] Epoch:9, Snapshot: 72; Loss: 0.5376
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+[2024-06-11 21:32:48,995 INFO] Epoch:9, Snapshot: 83; Loss: 0.6495
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+[2024-06-11 21:32:55,436 INFO] Epoch:9, Snapshot: 90; Loss: 0.7214
+[2024-06-11 21:32:56,358 INFO] Epoch:9, Snapshot: 91; Loss: 0.6218
+[2024-06-11 21:32:57,265 INFO] Epoch:9, Snapshot: 92; Loss: 0.4823
+[2024-06-11 21:32:58,171 INFO] Epoch:9, Snapshot: 93; Loss: 0.5895
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+[2024-06-11 21:33:00,016 INFO] Epoch:9, Snapshot: 95; Loss: 0.5624
+[2024-06-11 21:33:00,938 INFO] Epoch:9, Snapshot: 96; Loss: 0.5760
+[2024-06-11 21:33:01,845 INFO] Epoch:9, Snapshot: 97; Loss: 0.6791
+[2024-06-11 21:33:02,751 INFO] Epoch:9, Snapshot: 98; Loss: 0.4897
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+[2024-06-11 21:33:04,598 INFO] Epoch:9, Snapshot: 100; Loss: 0.6271
+[2024-06-11 21:33:05,485 INFO] Epoch:9, Snapshot: 101; Loss: 0.6270
+[2024-06-11 21:33:06,391 INFO] Epoch:9, Snapshot: 102; Loss: 0.6291
+[2024-06-11 21:33:07,314 INFO] Epoch:9, Snapshot: 103; Loss: 0.6300
+[2024-06-11 21:33:08,220 INFO] Epoch:9, Snapshot: 104; Loss: 0.5760
+[2024-06-11 21:33:09,126 INFO] Epoch:9, Snapshot: 105; Loss: 0.5690
+[2024-06-11 21:33:10,051 INFO] Epoch:9, Snapshot: 106; Loss: 0.5311
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+[2024-06-11 21:33:11,941 INFO] Epoch:9, Snapshot: 108; Loss: 0.5699
+[2024-06-11 21:33:12,847 INFO] Epoch:9, Snapshot: 109; Loss: 0.6049
+[2024-06-11 21:33:13,753 INFO] Epoch:9, Snapshot: 110; Loss: 0.5901
+[2024-06-11 21:33:14,690 INFO] Epoch:9, Snapshot: 111; Loss: 0.4919
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+[2024-06-11 21:33:17,535 INFO] Epoch:9, Snapshot: 114; Loss: 0.5280
+[2024-06-11 21:33:18,451 INFO] Epoch:9, Snapshot: 115; Loss: 0.5876
+[2024-06-11 21:33:19,364 INFO] Epoch:9, Snapshot: 116; Loss: 0.6227
+[2024-06-11 21:33:20,255 INFO] Epoch:9, Snapshot: 117; Loss: 0.5710
+[2024-06-11 21:33:21,194 INFO] Epoch:9, Snapshot: 118; Loss: 0.5359
+[2024-06-11 21:33:22,118 INFO] Epoch:9, Snapshot: 119; Loss: 0.5644
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+[2024-06-11 21:33:23,959 INFO] Epoch:9, Snapshot: 121; Loss: 0.6577
+[2024-06-11 21:33:24,903 INFO] Epoch:9, Snapshot: 122; Loss: 0.6325
+[2024-06-11 21:33:25,851 INFO] Epoch:9, Snapshot: 123; Loss: 0.5885
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+[2024-06-11 21:33:27,712 INFO] Epoch:9, Snapshot: 125; Loss: 0.5931
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+[2024-06-11 21:33:30,478 INFO] Epoch:9, Snapshot: 128; Loss: 0.4924
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+[2024-06-11 21:33:34,134 INFO] Epoch:9, Snapshot: 132; Loss: 0.5219
+[2024-06-11 21:33:35,026 INFO] Epoch:9, Snapshot: 133; Loss: 0.5829
+[2024-06-11 21:33:35,964 INFO] Epoch:9, Snapshot: 134; Loss: 0.5188
+[2024-06-11 21:33:36,886 INFO] Epoch:9, Snapshot: 135; Loss: 0.6607
+[2024-06-11 21:33:37,825 INFO] Epoch:9, Snapshot: 136; Loss: 0.4877
+[2024-06-11 21:33:38,716 INFO] Epoch:9, Snapshot: 137; Loss: 0.5261
+[2024-06-11 21:33:39,591 INFO] Epoch:9, Snapshot: 138; Loss: 0.6017
+[2024-06-11 21:33:40,466 INFO] Epoch:9, Snapshot: 139; Loss: 0.6944
+[2024-06-11 21:33:41,419 INFO] Epoch:9, Snapshot: 140; Loss: 0.5501
+[2024-06-11 21:33:42,342 INFO] Epoch:9, Snapshot: 141; Loss: 0.6784
+[2024-06-11 21:33:43,248 INFO] Epoch:9, Snapshot: 142; Loss: 0.5127
+[2024-06-11 21:33:44,201 INFO] Epoch:9, Snapshot: 143; Loss: 0.6295
+[2024-06-11 21:33:45,092 INFO] Epoch:9, Snapshot: 144; Loss: 0.6568
+[2024-06-11 21:33:46,014 INFO] Epoch:9, Snapshot: 145; Loss: 0.6414
+[2024-06-11 21:33:46,953 INFO] Epoch:9, Snapshot: 146; Loss: 0.5124
+[2024-06-11 21:33:47,859 INFO] Epoch:9, Snapshot: 147; Loss: 0.6260
+[2024-06-11 21:33:48,751 INFO] Epoch:9, Snapshot: 148; Loss: 0.5045
+[2024-06-11 21:33:49,673 INFO] Epoch:9, Snapshot: 149; Loss: 0.5981
+[2024-06-11 21:33:50,611 INFO] Epoch:9, Snapshot: 150; Loss: 0.5548
+[2024-06-11 21:33:51,533 INFO] Epoch:9, Snapshot: 151; Loss: 0.6789
+[2024-06-11 21:33:52,439 INFO] Epoch:9, Snapshot: 152; Loss: 0.4624
+[2024-06-11 21:33:53,361 INFO] Epoch:9, Snapshot: 153; Loss: 0.5645
+[2024-06-11 21:33:54,267 INFO] Epoch:9, Snapshot: 154; Loss: 0.6359
+[2024-06-11 21:33:55,174 INFO] Epoch:9, Snapshot: 155; Loss: 0.6145
+[2024-06-11 21:33:56,081 INFO] Epoch:9, Snapshot: 156; Loss: 0.6676
+[2024-06-11 21:33:57,003 INFO] Epoch:9, Snapshot: 157; Loss: 0.5310
+[2024-06-11 21:33:57,909 INFO] Epoch:9, Snapshot: 158; Loss: 0.6389
+[2024-06-11 21:33:58,784 INFO] Epoch:9, Snapshot: 159; Loss: 0.5643
+[2024-06-11 21:33:59,675 INFO] Epoch:9, Snapshot: 160; Loss: 0.5372
+[2024-06-11 21:34:00,629 INFO] Epoch:9, Snapshot: 161; Loss: 0.6418
+[2024-06-11 21:34:01,551 INFO] Epoch:9, Snapshot: 162; Loss: 0.6801
+[2024-06-11 21:34:02,504 INFO] Epoch:9, Snapshot: 163; Loss: 0.6187
+[2024-06-11 21:34:03,426 INFO] Epoch:9, Snapshot: 164; Loss: 0.5618
+[2024-06-11 21:34:04,348 INFO] Epoch:9, Snapshot: 165; Loss: 0.6970
+[2024-06-11 21:34:05,239 INFO] Epoch:9, Snapshot: 166; Loss: 0.4685
+[2024-06-11 21:34:06,162 INFO] Epoch:9, Snapshot: 167; Loss: 0.6531
+[2024-06-11 21:34:07,069 INFO] Epoch:9, Snapshot: 168; Loss: 0.5495
+[2024-06-11 21:34:07,960 INFO] Epoch:9, Snapshot: 169; Loss: 0.5796
+[2024-06-11 21:34:08,882 INFO] Epoch:9, Snapshot: 170; Loss: 0.5295
+[2024-06-11 21:34:09,805 INFO] Epoch:9, Snapshot: 171; Loss: 0.6262
+[2024-06-11 21:34:10,743 INFO] Epoch:9, Snapshot: 172; Loss: 0.6653
+[2024-06-11 21:34:11,634 INFO] Epoch:9, Snapshot: 173; Loss: 0.5196
+[2024-06-11 21:34:12,540 INFO] Epoch:9, Snapshot: 174; Loss: 0.5645
+[2024-06-11 21:34:13,415 INFO] Epoch:9, Snapshot: 175; Loss: 0.6222
+[2024-06-11 21:34:14,369 INFO] Epoch:9, Snapshot: 176; Loss: 0.6107
+[2024-06-11 21:34:15,291 INFO] Epoch:9, Snapshot: 177; Loss: 0.5898
+[2024-06-11 21:34:16,213 INFO] Epoch:9, Snapshot: 178; Loss: 0.8300
+[2024-06-11 21:34:17,136 INFO] Epoch:9, Snapshot: 179; Loss: 0.4457
+[2024-06-11 21:34:18,027 INFO] Epoch:9, Snapshot: 180; Loss: 0.4905
+[2024-06-11 21:34:18,933 INFO] Epoch:9, Snapshot: 181; Loss: 0.6231
+[2024-06-11 21:34:19,855 INFO] Epoch:9, Snapshot: 182; Loss: 0.6084
+[2024-06-11 21:34:20,763 INFO] Epoch:9, Snapshot: 183; Loss: 0.5549
+[2024-06-11 21:34:21,669 INFO] Epoch:9, Snapshot: 184; Loss: 0.5746
+[2024-06-11 21:34:22,544 INFO] Epoch:9, Snapshot: 185; Loss: 0.6545
+[2024-06-11 21:34:23,435 INFO] Epoch:9, Snapshot: 186; Loss: 0.4819
+[2024-06-11 21:34:24,341 INFO] Epoch:9, Snapshot: 187; Loss: 0.5093
+[2024-06-11 21:34:25,279 INFO] Epoch:9, Snapshot: 188; Loss: 0.6324
+[2024-06-11 21:34:26,217 INFO] Epoch:9, Snapshot: 189; Loss: 0.5555
+[2024-06-11 21:34:27,140 INFO] Epoch:9, Snapshot: 190; Loss: 0.6188
+[2024-06-11 21:34:28,062 INFO] Epoch:9, Snapshot: 191; Loss: 0.5263
+[2024-06-11 21:34:28,952 INFO] Epoch:9, Snapshot: 192; Loss: 0.4970
+[2024-06-11 21:34:29,828 INFO] Epoch:9, Snapshot: 193; Loss: 0.5620
+[2024-06-11 21:34:30,750 INFO] Epoch:9, Snapshot: 194; Loss: 0.5847
+[2024-06-11 21:34:31,657 INFO] Epoch:9, Snapshot: 195; Loss: 0.5499
+[2024-06-11 21:34:32,549 INFO] Epoch:9, Snapshot: 196; Loss: 0.5957
+[2024-06-11 21:34:33,454 INFO] Epoch:9, Snapshot: 197; Loss: 0.5388
+[2024-06-11 21:34:34,345 INFO] Epoch:9, Snapshot: 198; Loss: 0.5936
+[2024-06-11 21:34:35,252 INFO] Epoch:9, Snapshot: 199; Loss: 0.6247
+[2024-06-11 21:34:36,144 INFO] Epoch:9, Snapshot: 200; Loss: 0.5851
+[2024-06-11 21:34:37,050 INFO] Epoch:9, Snapshot: 201; Loss: 0.6139
+[2024-06-11 21:34:37,988 INFO] Epoch:9, Snapshot: 202; Loss: 0.6048
+[2024-06-11 21:34:38,910 INFO] Epoch:9, Snapshot: 203; Loss: 0.5720
+[2024-06-11 21:34:39,819 INFO] Epoch:9, Snapshot: 204; Loss: 0.5182
+[2024-06-11 21:34:40,692 INFO] Epoch:9, Snapshot: 205; Loss: 0.6049
+[2024-06-11 21:34:41,617 INFO] Epoch:9, Snapshot: 206; Loss: 0.6148
+[2024-06-11 21:34:42,520 INFO] Epoch:9, Snapshot: 207; Loss: 0.5679
+[2024-06-11 21:34:43,442 INFO] Epoch:9, Snapshot: 208; Loss: 0.5417
+[2024-06-11 21:34:44,380 INFO] Epoch:9, Snapshot: 209; Loss: 0.5486
+[2024-06-11 21:34:45,302 INFO] Epoch:9, Snapshot: 210; Loss: 0.5360
+[2024-06-11 21:34:46,192 INFO] Epoch:9, Snapshot: 211; Loss: 0.5915
+[2024-06-11 21:34:47,083 INFO] Epoch:9, Snapshot: 212; Loss: 0.5265
+[2024-06-11 21:34:47,973 INFO] Epoch:9, Snapshot: 213; Loss: 0.5720
+[2024-06-11 21:34:48,864 INFO] Epoch:9, Snapshot: 214; Loss: 0.5728
+[2024-06-11 21:34:49,771 INFO] Epoch:9, Snapshot: 215; Loss: 0.6284
+[2024-06-11 21:34:50,694 INFO] Epoch:9, Snapshot: 216; Loss: 0.6580
+[2024-06-11 21:34:51,585 INFO] Epoch:9, Snapshot: 217; Loss: 0.5346
+[2024-06-11 21:34:52,476 INFO] Epoch:9, Snapshot: 218; Loss: 0.5444
+[2024-06-11 21:34:53,383 INFO] Epoch:9, Snapshot: 219; Loss: 0.6306
+[2024-06-11 21:34:54,289 INFO] Epoch:9, Snapshot: 220; Loss: 0.5740
+[2024-06-11 21:34:55,212 INFO] Epoch:9, Snapshot: 221; Loss: 0.5249
+[2024-06-11 21:34:56,103 INFO] Epoch:9, Snapshot: 222; Loss: 0.5520
+[2024-06-11 21:34:57,025 INFO] Epoch:9, Snapshot: 223; Loss: 0.5749
+[2024-06-11 21:34:57,900 INFO] Epoch:9, Snapshot: 224; Loss: 0.5028
+[2024-06-11 21:34:58,775 INFO] Epoch:9, Snapshot: 225; Loss: 0.5469
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+[2024-06-11 21:35:00,651 INFO] Epoch:9, Snapshot: 227; Loss: 0.4964
+[2024-06-11 21:35:01,558 INFO] Epoch:9, Snapshot: 228; Loss: 0.5250
+[2024-06-11 21:35:02,464 INFO] Epoch:9, Snapshot: 229; Loss: 0.5637
+[2024-06-11 21:35:03,371 INFO] Epoch:9, Snapshot: 230; Loss: 0.6258
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+[2024-06-11 21:35:06,949 INFO] Epoch:9, Snapshot: 234; Loss: 0.5738
+[2024-06-11 21:35:07,870 INFO] Epoch:9, Snapshot: 235; Loss: 0.5830
+[2024-06-11 21:35:08,745 INFO] Epoch:9, Snapshot: 236; Loss: 0.5371
+[2024-06-11 21:35:09,651 INFO] Epoch:9, Snapshot: 237; Loss: 0.5300
+[2024-06-11 21:35:10,511 INFO] Epoch:9, Snapshot: 238; Loss: 0.5746
+[2024-06-11 21:35:11,412 INFO] Epoch:9, Snapshot: 239; Loss: 0.5864
+[2024-06-11 21:35:12,354 INFO] Epoch:9, Snapshot: 240; Loss: 0.5432
+[2024-06-11 21:35:13,276 INFO] Epoch:9, Snapshot: 241; Loss: 0.5775
+[2024-06-11 21:35:14,183 INFO] Epoch:9, Snapshot: 242; Loss: 0.5745
+[2024-06-11 21:35:15,121 INFO] Epoch:9, Snapshot: 243; Loss: 0.6101
+[2024-06-11 21:35:16,044 INFO] Epoch:9, Snapshot: 244; Loss: 0.5765
+[2024-06-11 21:35:16,934 INFO] Epoch:9, Snapshot: 245; Loss: 0.5249
+[2024-06-11 21:35:17,832 INFO] Epoch:9, Snapshot: 246; Loss: 0.6228
+[2024-06-11 21:35:18,748 INFO] Epoch:9, Snapshot: 247; Loss: 0.5816
+[2024-06-11 21:35:19,670 INFO] Epoch:9, Snapshot: 248; Loss: 0.5214
+[2024-06-11 21:35:20,577 INFO] Epoch:9, Snapshot: 249; Loss: 0.6058
+[2024-06-11 21:35:21,484 INFO] Epoch:9, Snapshot: 250; Loss: 0.6359
+[2024-06-11 21:35:22,389 INFO] Epoch:9, Snapshot: 251; Loss: 0.5571
+[2024-06-11 21:35:23,202 INFO] Epoch:9, Snapshot: 252; Loss: 0.7631
+[2024-06-11 21:35:24,062 INFO] Epoch:9, Snapshot: 253; Loss: 0.7388
+[2024-06-11 21:35:24,921 INFO] Epoch:9, Snapshot: 254; Loss: 0.6546
+[2024-06-11 21:35:25,781 INFO] Epoch:9, Snapshot: 255; Loss: 0.6074
+[2024-06-11 21:35:26,718 INFO] Epoch:9, Snapshot: 256; Loss: 0.7574
+[2024-06-11 21:35:27,593 INFO] Epoch:9, Snapshot: 257; Loss: 0.6594
+[2024-06-11 21:35:28,480 INFO] Epoch:9, Snapshot: 258; Loss: 0.6410
+[2024-06-11 21:35:29,329 INFO] Epoch:9, Snapshot: 259; Loss: 0.7782
+[2024-06-11 21:35:30,141 INFO] Epoch:9, Snapshot: 260; Loss: 0.7836
+[2024-06-11 21:35:31,001 INFO] Epoch:9, Snapshot: 261; Loss: 0.8184
+[2024-06-11 21:35:31,819 INFO] Epoch:9, Snapshot: 262; Loss: 0.7716
+[2024-06-11 21:35:32,611 INFO] Epoch:9, Snapshot: 263; Loss: 0.7154
+[2024-06-11 21:35:33,424 INFO] Epoch:9, Snapshot: 264; Loss: 0.7182
+[2024-06-11 21:35:34,268 INFO] Epoch:9, Snapshot: 265; Loss: 0.7125
+[2024-06-11 21:35:35,111 INFO] Epoch:9, Snapshot: 266; Loss: 0.6412
+[2024-06-11 21:35:35,940 INFO] Epoch:9, Snapshot: 267; Loss: 0.6743
+[2024-06-11 21:35:36,737 INFO] Epoch:9, Snapshot: 268; Loss: 0.6306
+[2024-06-11 21:35:37,628 INFO] Epoch:9, Snapshot: 269; Loss: 0.6364
+[2024-06-11 21:35:38,472 INFO] Epoch:9, Snapshot: 270; Loss: 0.6343
+[2024-06-11 21:35:39,300 INFO] Epoch:9, Snapshot: 271; Loss: 0.6228
+[2024-06-11 21:35:40,113 INFO] Epoch:9, Snapshot: 272; Loss: 0.6047
+[2024-06-11 21:35:40,957 INFO] Epoch:9, Snapshot: 273; Loss: 0.5990
+[2024-06-11 21:35:41,817 INFO] Epoch:9, Snapshot: 274; Loss: 0.6640
+[2024-06-11 21:35:42,661 INFO] Epoch:9, Snapshot: 275; Loss: 0.6044
+[2024-06-11 21:35:43,475 INFO] Epoch:9, Snapshot: 276; Loss: 0.6238
+[2024-06-11 21:35:44,303 INFO] Epoch:9, Snapshot: 277; Loss: 0.5692
+[2024-06-11 21:35:45,116 INFO] Epoch:9, Snapshot: 278; Loss: 0.6063
+[2024-06-11 21:35:45,944 INFO] Epoch:9, Snapshot: 279; Loss: 0.5819
+[2024-06-11 21:35:46,788 INFO] Epoch:9, Snapshot: 280; Loss: 0.5717
+[2024-06-11 21:35:47,632 INFO] Epoch:9, Snapshot: 281; Loss: 0.5784
+[2024-06-11 21:35:48,461 INFO] Epoch:9, Snapshot: 282; Loss: 0.5712
+[2024-06-11 21:35:49,289 INFO] Epoch:9, Snapshot: 283; Loss: 0.5646
+[2024-06-11 21:35:50,122 INFO] Epoch:9, Snapshot: 284; Loss: 0.5725
+[2024-06-11 21:35:50,946 INFO] Epoch:9, Snapshot: 285; Loss: 0.5825
+[2024-06-11 21:35:51,805 INFO] Epoch:9, Snapshot: 286; Loss: 0.6249
+[2024-06-11 21:35:52,634 INFO] Epoch:9, Snapshot: 287; Loss: 0.5607
+[2024-06-11 21:35:53,462 INFO] Epoch:9, Snapshot: 288; Loss: 0.6016
+[2024-06-11 21:35:54,291 INFO] Epoch:9, Snapshot: 289; Loss: 0.6051
+[2024-06-11 21:35:55,120 INFO] Epoch:9, Snapshot: 290; Loss: 0.5785
+[2024-06-11 21:35:55,933 INFO] Epoch:9, Snapshot: 291; Loss: 0.6076
+[2024-06-11 21:35:56,792 INFO] Epoch:9, Snapshot: 292; Loss: 0.6213
+[2024-06-11 21:35:57,650 INFO] Epoch:9, Snapshot: 293; Loss: 0.5777
+[2024-06-11 21:35:58,478 INFO] Epoch:9, Snapshot: 294; Loss: 0.5715
+[2024-06-11 21:35:59,306 INFO] Epoch:9, Snapshot: 295; Loss: 0.6032
+[2024-06-11 21:36:00,103 INFO] Epoch:9, Snapshot: 296; Loss: 0.6375
+[2024-06-11 21:36:00,948 INFO] Epoch:9, Snapshot: 297; Loss: 0.5327
+[2024-06-11 21:36:01,792 INFO] Epoch:9, Snapshot: 298; Loss: 0.5568
+[2024-06-11 21:36:02,651 INFO] Epoch:9, Snapshot: 299; Loss: 0.5879
+[2024-06-11 21:36:03,480 INFO] Epoch:9, Snapshot: 300; Loss: 0.5342
+[2024-06-11 21:36:04,308 INFO] Epoch:9, Snapshot: 301; Loss: 0.5731
+[2024-06-11 21:36:05,136 INFO] Epoch:9, Snapshot: 302; Loss: 0.5954
+[2024-06-11 21:36:06,012 INFO] Epoch:9, Snapshot: 303; Loss: 0.5389
+[2024-06-11 21:36:06,887 INFO] Epoch:9, Snapshot: 304; Loss: 0.5181
+[2024-06-11 21:36:07,684 INFO] Epoch:9, Snapshot: 305; Loss: 0.5658
+[2024-06-11 21:36:08,512 INFO] Epoch:9, Snapshot: 306; Loss: 0.5705
+[2024-06-11 21:36:09,356 INFO] Epoch:9, Snapshot: 307; Loss: 0.5770
+[2024-06-11 21:36:10,200 INFO] Epoch:9, Snapshot: 308; Loss: 0.5883
+[2024-06-11 21:36:11,063 INFO] Epoch:9, Snapshot: 309; Loss: 0.6138
+[2024-06-11 21:36:11,872 INFO] Epoch:9, Snapshot: 310; Loss: 0.5196
+[2024-06-11 21:36:12,701 INFO] Epoch:9, Snapshot: 311; Loss: 0.5342
+[2024-06-11 21:36:13,514 INFO] Epoch:9, Snapshot: 312; Loss: 0.6589
+[2024-06-11 21:36:14,389 INFO] Epoch:9, Snapshot: 313; Loss: 0.5244
+[2024-06-11 21:36:15,249 INFO] Epoch:9, Snapshot: 314; Loss: 0.6069
+[2024-06-11 21:36:16,077 INFO] Epoch:9, Snapshot: 315; Loss: 0.5692
+[2024-06-11 21:36:16,905 INFO] Epoch:9, Snapshot: 316; Loss: 0.5757
+[2024-06-11 21:36:17,764 INFO] Epoch:9, Snapshot: 317; Loss: 0.5942
+[2024-06-11 21:40:39,124 INFO] ==========================================================================================
+[2024-06-11 21:40:39,124 INFO] Epoch:9, Loss: 0.5984, Time: 550.574, GPU: 566.0MiB
+[2024-06-11 21:40:39,124 INFO] Epoch:9, Accuracy: 0.9057; F1: 0.9138; Recall: 0.9410; Precision: 0.8952; ROC AUC: 0.9056, Memory: 565.9653, time: 726.1380
+[2024-06-11 21:40:40,015 INFO] Epoch:10, Snapshot: 0; Loss: 0.7062
+[2024-06-11 21:40:41,030 INFO] Epoch:10, Snapshot: 1; Loss: 0.6835
+[2024-06-11 21:40:42,062 INFO] Epoch:10, Snapshot: 2; Loss: 0.6817
+[2024-06-11 21:40:43,219 INFO] Epoch:10, Snapshot: 3; Loss: 0.6489
+[2024-06-11 21:40:44,251 INFO] Epoch:10, Snapshot: 4; Loss: 0.6255
+[2024-06-11 21:40:45,313 INFO] Epoch:10, Snapshot: 5; Loss: 0.6347
+[2024-06-11 21:40:46,360 INFO] Epoch:10, Snapshot: 6; Loss: 0.6649
+[2024-06-11 21:40:47,408 INFO] Epoch:10, Snapshot: 7; Loss: 0.6489
+[2024-06-11 21:40:48,471 INFO] Epoch:10, Snapshot: 8; Loss: 0.6507
+[2024-06-11 21:40:49,518 INFO] Epoch:10, Snapshot: 9; Loss: 0.6632
+[2024-06-11 21:40:50,565 INFO] Epoch:10, Snapshot: 10; Loss: 0.6510
+[2024-06-11 21:40:51,566 INFO] Epoch:10, Snapshot: 11; Loss: 0.5389
+[2024-06-11 21:40:52,598 INFO] Epoch:10, Snapshot: 12; Loss: 0.5912
+[2024-06-11 21:40:53,598 INFO] Epoch:10, Snapshot: 13; Loss: 0.6421
+[2024-06-11 21:40:54,629 INFO] Epoch:10, Snapshot: 14; Loss: 0.5518
+[2024-06-11 21:40:55,693 INFO] Epoch:10, Snapshot: 15; Loss: 0.5937
+[2024-06-11 21:40:56,772 INFO] Epoch:10, Snapshot: 16; Loss: 0.5530
+[2024-06-11 21:40:57,820 INFO] Epoch:10, Snapshot: 17; Loss: 0.5587
+[2024-06-11 21:40:58,835 INFO] Epoch:10, Snapshot: 18; Loss: 0.5768
+[2024-06-11 21:40:59,835 INFO] Epoch:10, Snapshot: 19; Loss: 0.6168
+[2024-06-11 21:41:00,742 INFO] Epoch:10, Snapshot: 20; Loss: 0.6827
+[2024-06-11 21:41:01,695 INFO] Epoch:10, Snapshot: 21; Loss: 0.5922
+[2024-06-11 21:41:02,601 INFO] Epoch:10, Snapshot: 22; Loss: 0.6041
+[2024-06-11 21:41:03,476 INFO] Epoch:10, Snapshot: 23; Loss: 0.6155
+[2024-06-11 21:41:04,398 INFO] Epoch:10, Snapshot: 24; Loss: 0.5496
+[2024-06-11 21:41:05,320 INFO] Epoch:10, Snapshot: 25; Loss: 0.6349
+[2024-06-11 21:41:06,211 INFO] Epoch:10, Snapshot: 26; Loss: 0.5828
+[2024-06-11 21:41:07,118 INFO] Epoch:10, Snapshot: 27; Loss: 0.5950
+[2024-06-11 21:41:08,009 INFO] Epoch:10, Snapshot: 28; Loss: 0.5958
+[2024-06-11 21:41:08,946 INFO] Epoch:10, Snapshot: 29; Loss: 0.5788
+[2024-06-11 21:41:09,870 INFO] Epoch:10, Snapshot: 30; Loss: 0.6677
+[2024-06-11 21:41:10,822 INFO] Epoch:10, Snapshot: 31; Loss: 0.5867
+[2024-06-11 21:41:11,776 INFO] Epoch:10, Snapshot: 32; Loss: 0.6466
+[2024-06-11 21:41:12,713 INFO] Epoch:10, Snapshot: 33; Loss: 0.7326
+[2024-06-11 21:41:13,650 INFO] Epoch:10, Snapshot: 34; Loss: 0.6137
+[2024-06-11 21:41:14,605 INFO] Epoch:10, Snapshot: 35; Loss: 0.5600
+[2024-06-11 21:41:15,590 INFO] Epoch:10, Snapshot: 36; Loss: 0.5769
+[2024-06-11 21:41:16,574 INFO] Epoch:10, Snapshot: 37; Loss: 0.6160
+[2024-06-11 21:41:17,543 INFO] Epoch:10, Snapshot: 38; Loss: 0.5859
+[2024-06-11 21:41:18,497 INFO] Epoch:10, Snapshot: 39; Loss: 0.5804
+[2024-06-11 21:41:19,465 INFO] Epoch:10, Snapshot: 40; Loss: 0.6639
+[2024-06-11 21:41:20,434 INFO] Epoch:10, Snapshot: 41; Loss: 0.6100
+[2024-06-11 21:41:21,387 INFO] Epoch:10, Snapshot: 42; Loss: 0.5302
+[2024-06-11 21:41:22,341 INFO] Epoch:10, Snapshot: 43; Loss: 0.6177
+[2024-06-11 21:41:23,278 INFO] Epoch:10, Snapshot: 44; Loss: 0.6644
+[2024-06-11 21:41:24,231 INFO] Epoch:10, Snapshot: 45; Loss: 0.6954
+[2024-06-11 21:41:25,170 INFO] Epoch:10, Snapshot: 46; Loss: 0.6064
+[2024-06-11 21:41:26,092 INFO] Epoch:10, Snapshot: 47; Loss: 0.5215
+[2024-06-11 21:41:27,033 INFO] Epoch:10, Snapshot: 48; Loss: 0.5696
+[2024-06-11 21:41:27,983 INFO] Epoch:10, Snapshot: 49; Loss: 0.5956
+[2024-06-11 21:41:28,956 INFO] Epoch:10, Snapshot: 50; Loss: 0.5910
+[2024-06-11 21:41:29,921 INFO] Epoch:10, Snapshot: 51; Loss: 0.6313
+[2024-06-11 21:41:30,890 INFO] Epoch:10, Snapshot: 52; Loss: 0.5983
+[2024-06-11 21:41:31,859 INFO] Epoch:10, Snapshot: 53; Loss: 0.6042
+[2024-06-11 21:41:32,812 INFO] Epoch:10, Snapshot: 54; Loss: 0.6500
+[2024-06-11 21:41:33,750 INFO] Epoch:10, Snapshot: 55; Loss: 0.5439
+[2024-06-11 21:41:34,656 INFO] Epoch:10, Snapshot: 56; Loss: 0.5546
+[2024-06-11 21:41:35,581 INFO] Epoch:10, Snapshot: 57; Loss: 0.5683
+[2024-06-11 21:41:36,550 INFO] Epoch:10, Snapshot: 58; Loss: 0.6073
+[2024-06-11 21:41:37,549 INFO] Epoch:10, Snapshot: 59; Loss: 0.5377
+[2024-06-11 21:41:38,534 INFO] Epoch:10, Snapshot: 60; Loss: 0.6348
+[2024-06-11 21:41:39,471 INFO] Epoch:10, Snapshot: 61; Loss: 0.6399
+[2024-06-11 21:41:40,456 INFO] Epoch:10, Snapshot: 62; Loss: 0.6439
+[2024-06-11 21:41:41,441 INFO] Epoch:10, Snapshot: 63; Loss: 0.5971
+[2024-06-11 21:41:42,410 INFO] Epoch:10, Snapshot: 64; Loss: 0.5868
+[2024-06-11 21:41:43,347 INFO] Epoch:10, Snapshot: 65; Loss: 0.5619
+[2024-06-11 21:41:44,238 INFO] Epoch:10, Snapshot: 66; Loss: 0.6707
+[2024-06-11 21:41:45,145 INFO] Epoch:10, Snapshot: 67; Loss: 0.6048
+[2024-06-11 21:41:46,098 INFO] Epoch:10, Snapshot: 68; Loss: 0.6294
+[2024-06-11 21:41:47,004 INFO] Epoch:10, Snapshot: 69; Loss: 0.6682
+[2024-06-11 21:41:47,910 INFO] Epoch:10, Snapshot: 70; Loss: 0.4910
+[2024-06-11 21:41:48,816 INFO] Epoch:10, Snapshot: 71; Loss: 0.5955
+[2024-06-11 21:41:49,707 INFO] Epoch:10, Snapshot: 72; Loss: 0.5966
+[2024-06-11 21:41:50,645 INFO] Epoch:10, Snapshot: 73; Loss: 0.5192
+[2024-06-11 21:41:51,598 INFO] Epoch:10, Snapshot: 74; Loss: 0.5471
+[2024-06-11 21:41:52,521 INFO] Epoch:10, Snapshot: 75; Loss: 0.5302
+[2024-06-11 21:41:53,443 INFO] Epoch:10, Snapshot: 76; Loss: 0.5594
+[2024-06-11 21:41:54,350 INFO] Epoch:10, Snapshot: 77; Loss: 0.5387
+[2024-06-11 21:41:55,288 INFO] Epoch:10, Snapshot: 78; Loss: 0.6854
+[2024-06-11 21:41:56,229 INFO] Epoch:10, Snapshot: 79; Loss: 0.4643
+[2024-06-11 21:41:57,164 INFO] Epoch:10, Snapshot: 80; Loss: 0.5797
+[2024-06-11 21:41:58,086 INFO] Epoch:10, Snapshot: 81; Loss: 0.5344
+[2024-06-11 21:41:58,992 INFO] Epoch:10, Snapshot: 82; Loss: 0.5639
+[2024-06-11 21:41:59,899 INFO] Epoch:10, Snapshot: 83; Loss: 0.5458
+[2024-06-11 21:42:00,837 INFO] Epoch:10, Snapshot: 84; Loss: 0.5953
+[2024-06-11 21:42:01,854 INFO] Epoch:10, Snapshot: 85; Loss: 0.5443
+[2024-06-11 21:42:02,807 INFO] Epoch:10, Snapshot: 86; Loss: 0.6344
+[2024-06-11 21:42:03,776 INFO] Epoch:10, Snapshot: 87; Loss: 0.5115
+[2024-06-11 21:42:04,682 INFO] Epoch:10, Snapshot: 88; Loss: 0.6506
+[2024-06-11 21:42:05,572 INFO] Epoch:10, Snapshot: 89; Loss: 0.5784
+[2024-06-11 21:42:06,463 INFO] Epoch:10, Snapshot: 90; Loss: 0.7099
+[2024-06-11 21:42:07,386 INFO] Epoch:10, Snapshot: 91; Loss: 0.6684
+[2024-06-11 21:42:08,339 INFO] Epoch:10, Snapshot: 92; Loss: 0.5126
+[2024-06-11 21:42:09,261 INFO] Epoch:10, Snapshot: 93; Loss: 0.5582
+[2024-06-11 21:42:10,167 INFO] Epoch:10, Snapshot: 94; Loss: 0.5898
+[2024-06-11 21:42:11,089 INFO] Epoch:10, Snapshot: 95; Loss: 0.5570
+[2024-06-11 21:42:11,995 INFO] Epoch:10, Snapshot: 96; Loss: 0.5967
+[2024-06-11 21:42:12,871 INFO] Epoch:10, Snapshot: 97; Loss: 0.6020
+[2024-06-11 21:42:13,824 INFO] Epoch:10, Snapshot: 98; Loss: 0.5183
+[2024-06-11 21:42:14,746 INFO] Epoch:10, Snapshot: 99; Loss: 0.6855
+[2024-06-11 21:42:15,638 INFO] Epoch:10, Snapshot: 100; Loss: 0.6010
+[2024-06-11 21:42:16,559 INFO] Epoch:10, Snapshot: 101; Loss: 0.5826
+[2024-06-11 21:42:17,481 INFO] Epoch:10, Snapshot: 102; Loss: 0.6401
+[2024-06-11 21:42:18,388 INFO] Epoch:10, Snapshot: 103; Loss: 0.5879
+[2024-06-11 21:42:19,309 INFO] Epoch:10, Snapshot: 104; Loss: 0.5512
+[2024-06-11 21:42:20,231 INFO] Epoch:10, Snapshot: 105; Loss: 0.5797
+[2024-06-11 21:42:21,169 INFO] Epoch:10, Snapshot: 106; Loss: 0.4812
+[2024-06-11 21:42:22,060 INFO] Epoch:10, Snapshot: 107; Loss: 0.5171
+[2024-06-11 21:42:22,982 INFO] Epoch:10, Snapshot: 108; Loss: 0.5626
+[2024-06-11 21:42:23,904 INFO] Epoch:10, Snapshot: 109; Loss: 0.5774
+[2024-06-11 21:42:24,845 INFO] Epoch:10, Snapshot: 110; Loss: 0.5108
+[2024-06-11 21:42:25,764 INFO] Epoch:10, Snapshot: 111; Loss: 0.5361
+[2024-06-11 21:42:26,655 INFO] Epoch:10, Snapshot: 112; Loss: 0.5533
+[2024-06-11 21:42:27,562 INFO] Epoch:10, Snapshot: 113; Loss: 0.5515
+[2024-06-11 21:42:28,483 INFO] Epoch:10, Snapshot: 114; Loss: 0.6691
+[2024-06-11 21:42:29,437 INFO] Epoch:10, Snapshot: 115; Loss: 0.5037
+[2024-06-11 21:42:30,359 INFO] Epoch:10, Snapshot: 116; Loss: 0.6116
+[2024-06-11 21:42:31,248 INFO] Epoch:10, Snapshot: 117; Loss: 0.6129
+[2024-06-11 21:42:32,154 INFO] Epoch:10, Snapshot: 118; Loss: 0.4974
+[2024-06-11 21:42:33,076 INFO] Epoch:10, Snapshot: 119; Loss: 0.5537
+[2024-06-11 21:42:33,983 INFO] Epoch:10, Snapshot: 120; Loss: 0.6141
+[2024-06-11 21:42:34,889 INFO] Epoch:10, Snapshot: 121; Loss: 0.5791
+[2024-06-11 21:42:35,796 INFO] Epoch:10, Snapshot: 122; Loss: 0.5381
+[2024-06-11 21:42:36,718 INFO] Epoch:10, Snapshot: 123; Loss: 0.6365
+[2024-06-11 21:42:37,656 INFO] Epoch:10, Snapshot: 124; Loss: 0.5167
+[2024-06-11 21:42:38,563 INFO] Epoch:10, Snapshot: 125; Loss: 0.5824
+[2024-06-11 21:42:39,454 INFO] Epoch:10, Snapshot: 126; Loss: 0.5699
+[2024-06-11 21:42:40,344 INFO] Epoch:10, Snapshot: 127; Loss: 0.5985
+[2024-06-11 21:42:41,298 INFO] Epoch:10, Snapshot: 128; Loss: 0.4478
+[2024-06-11 21:42:42,205 INFO] Epoch:10, Snapshot: 129; Loss: 0.6020
+[2024-06-11 21:42:43,174 INFO] Epoch:10, Snapshot: 130; Loss: 0.6096
+[2024-06-11 21:42:44,082 INFO] Epoch:10, Snapshot: 131; Loss: 0.5176
+[2024-06-11 21:42:44,972 INFO] Epoch:10, Snapshot: 132; Loss: 0.5969
+[2024-06-11 21:42:45,911 INFO] Epoch:10, Snapshot: 133; Loss: 0.5329
+[2024-06-11 21:42:46,817 INFO] Epoch:10, Snapshot: 134; Loss: 0.5004
+[2024-06-11 21:42:47,739 INFO] Epoch:10, Snapshot: 135; Loss: 0.5635
+[2024-06-11 21:42:48,661 INFO] Epoch:10, Snapshot: 136; Loss: 0.5146
+[2024-06-11 21:42:49,553 INFO] Epoch:10, Snapshot: 137; Loss: 0.5384
+[2024-06-11 21:42:50,443 INFO] Epoch:10, Snapshot: 138; Loss: 0.6081
+[2024-06-11 21:42:51,334 INFO] Epoch:10, Snapshot: 139; Loss: 0.7076
+[2024-06-11 21:42:52,256 INFO] Epoch:10, Snapshot: 140; Loss: 0.4846
+[2024-06-11 21:42:53,162 INFO] Epoch:10, Snapshot: 141; Loss: 0.6097
+[2024-06-11 21:42:54,084 INFO] Epoch:10, Snapshot: 142; Loss: 0.6512
+[2024-06-11 21:42:55,005 INFO] Epoch:10, Snapshot: 143; Loss: 0.4683
+[2024-06-11 21:42:55,927 INFO] Epoch:10, Snapshot: 144; Loss: 0.6454
+[2024-06-11 21:42:56,850 INFO] Epoch:10, Snapshot: 145; Loss: 0.6352
+[2024-06-11 21:42:57,819 INFO] Epoch:10, Snapshot: 146; Loss: 0.5370
+[2024-06-11 21:42:58,741 INFO] Epoch:10, Snapshot: 147; Loss: 0.6436
+[2024-06-11 21:42:59,631 INFO] Epoch:10, Snapshot: 148; Loss: 0.5468
+[2024-06-11 21:43:00,553 INFO] Epoch:10, Snapshot: 149; Loss: 0.5978
+[2024-06-11 21:43:01,444 INFO] Epoch:10, Snapshot: 150; Loss: 0.6175
+[2024-06-11 21:43:02,334 INFO] Epoch:10, Snapshot: 151; Loss: 0.6280
+[2024-06-11 21:43:03,317 INFO] Epoch:10, Snapshot: 152; Loss: 0.5571
+[2024-06-11 21:43:04,255 INFO] Epoch:10, Snapshot: 153; Loss: 0.6244
+[2024-06-11 21:43:05,177 INFO] Epoch:10, Snapshot: 154; Loss: 0.5489
+[2024-06-11 21:43:06,084 INFO] Epoch:10, Snapshot: 155; Loss: 0.6524
+[2024-06-11 21:43:06,990 INFO] Epoch:10, Snapshot: 156; Loss: 0.6565
+[2024-06-11 21:43:07,881 INFO] Epoch:10, Snapshot: 157; Loss: 0.5585
+[2024-06-11 21:43:08,804 INFO] Epoch:10, Snapshot: 158; Loss: 0.6126
+[2024-06-11 21:43:09,711 INFO] Epoch:10, Snapshot: 159; Loss: 0.6125
+[2024-06-11 21:43:10,618 INFO] Epoch:10, Snapshot: 160; Loss: 0.5920
+[2024-06-11 21:43:11,524 INFO] Epoch:10, Snapshot: 161; Loss: 0.5960
+[2024-06-11 21:43:12,430 INFO] Epoch:10, Snapshot: 162; Loss: 0.5514
+[2024-06-11 21:43:13,352 INFO] Epoch:10, Snapshot: 163; Loss: 0.6078
+[2024-06-11 21:43:14,258 INFO] Epoch:10, Snapshot: 164; Loss: 0.5657
+[2024-06-11 21:43:15,133 INFO] Epoch:10, Snapshot: 165; Loss: 0.5795
+[2024-06-11 21:43:16,055 INFO] Epoch:10, Snapshot: 166; Loss: 0.5700
+[2024-06-11 21:43:16,978 INFO] Epoch:10, Snapshot: 167; Loss: 0.6041
+[2024-06-11 21:43:17,900 INFO] Epoch:10, Snapshot: 168; Loss: 0.5504
+[2024-06-11 21:43:18,807 INFO] Epoch:10, Snapshot: 169; Loss: 0.6137
+[2024-06-11 21:43:19,729 INFO] Epoch:10, Snapshot: 170; Loss: 0.5631
+[2024-06-11 21:43:20,619 INFO] Epoch:10, Snapshot: 171; Loss: 0.5434
+[2024-06-11 21:43:21,541 INFO] Epoch:10, Snapshot: 172; Loss: 0.5224
+[2024-06-11 21:43:22,479 INFO] Epoch:10, Snapshot: 173; Loss: 0.5568
+[2024-06-11 21:43:23,433 INFO] Epoch:10, Snapshot: 174; Loss: 0.6477
+[2024-06-11 21:43:24,371 INFO] Epoch:10, Snapshot: 175; Loss: 0.5226
+[2024-06-11 21:43:25,292 INFO] Epoch:10, Snapshot: 176; Loss: 0.5444
+[2024-06-11 21:43:26,167 INFO] Epoch:10, Snapshot: 177; Loss: 0.5834
+[2024-06-11 21:43:27,073 INFO] Epoch:10, Snapshot: 178; Loss: 0.6005
+[2024-06-11 21:43:28,011 INFO] Epoch:10, Snapshot: 179; Loss: 0.5661
+[2024-06-11 21:43:28,965 INFO] Epoch:10, Snapshot: 180; Loss: 0.4382
+[2024-06-11 21:43:29,887 INFO] Epoch:10, Snapshot: 181; Loss: 0.6326
+[2024-06-11 21:43:30,762 INFO] Epoch:10, Snapshot: 182; Loss: 0.5181
+[2024-06-11 21:43:31,653 INFO] Epoch:10, Snapshot: 183; Loss: 0.5784
+[2024-06-11 21:43:32,544 INFO] Epoch:10, Snapshot: 184; Loss: 0.6027
+[2024-06-11 21:43:33,435 INFO] Epoch:10, Snapshot: 185; Loss: 0.4703
+[2024-06-11 21:43:34,357 INFO] Epoch:10, Snapshot: 186; Loss: 0.5179
+[2024-06-11 21:43:35,279 INFO] Epoch:10, Snapshot: 187; Loss: 0.4823
+[2024-06-11 21:43:36,201 INFO] Epoch:10, Snapshot: 188; Loss: 0.6259
+[2024-06-11 21:43:37,123 INFO] Epoch:10, Snapshot: 189; Loss: 0.5275
+[2024-06-11 21:43:38,045 INFO] Epoch:10, Snapshot: 190; Loss: 0.5619
+[2024-06-11 21:43:38,967 INFO] Epoch:10, Snapshot: 191; Loss: 0.5907
+[2024-06-11 21:43:39,858 INFO] Epoch:10, Snapshot: 192; Loss: 0.5037
+[2024-06-11 21:43:40,764 INFO] Epoch:10, Snapshot: 193; Loss: 0.5462
+[2024-06-11 21:43:41,687 INFO] Epoch:10, Snapshot: 194; Loss: 0.6340
+[2024-06-11 21:43:42,593 INFO] Epoch:10, Snapshot: 195; Loss: 0.6166
+[2024-06-11 21:43:43,515 INFO] Epoch:10, Snapshot: 196; Loss: 0.5482
+[2024-06-11 21:43:44,452 INFO] Epoch:10, Snapshot: 197; Loss: 0.5746
+[2024-06-11 21:43:45,327 INFO] Epoch:10, Snapshot: 198; Loss: 0.5523
+[2024-06-11 21:43:46,218 INFO] Epoch:10, Snapshot: 199; Loss: 0.6281
+[2024-06-11 21:43:47,140 INFO] Epoch:10, Snapshot: 200; Loss: 0.5805
+[2024-06-11 21:43:48,078 INFO] Epoch:10, Snapshot: 201; Loss: 0.5413
+[2024-06-11 21:43:49,016 INFO] Epoch:10, Snapshot: 202; Loss: 0.6029
+[2024-06-11 21:43:49,955 INFO] Epoch:10, Snapshot: 203; Loss: 0.5551
+[2024-06-11 21:43:50,876 INFO] Epoch:10, Snapshot: 204; Loss: 0.4955
+[2024-06-11 21:43:51,782 INFO] Epoch:10, Snapshot: 205; Loss: 0.6169
+[2024-06-11 21:43:52,673 INFO] Epoch:10, Snapshot: 206; Loss: 0.6231
+[2024-06-11 21:43:53,610 INFO] Epoch:10, Snapshot: 207; Loss: 0.5584
+[2024-06-11 21:43:54,548 INFO] Epoch:10, Snapshot: 208; Loss: 0.5299
+[2024-06-11 21:43:55,471 INFO] Epoch:10, Snapshot: 209; Loss: 0.5472
+[2024-06-11 21:43:56,362 INFO] Epoch:10, Snapshot: 210; Loss: 0.6360
+[2024-06-11 21:43:57,252 INFO] Epoch:10, Snapshot: 211; Loss: 0.5886
+[2024-06-11 21:43:58,190 INFO] Epoch:10, Snapshot: 212; Loss: 0.4982
+[2024-06-11 21:43:59,128 INFO] Epoch:10, Snapshot: 213; Loss: 0.6736
+[2024-06-11 21:44:00,019 INFO] Epoch:10, Snapshot: 214; Loss: 0.4436
+[2024-06-11 21:44:00,909 INFO] Epoch:10, Snapshot: 215; Loss: 0.7197
+[2024-06-11 21:44:01,800 INFO] Epoch:10, Snapshot: 216; Loss: 0.6265
+[2024-06-11 21:44:02,675 INFO] Epoch:10, Snapshot: 217; Loss: 0.5315
+[2024-06-11 21:44:03,582 INFO] Epoch:10, Snapshot: 218; Loss: 0.5766
+[2024-06-11 21:44:04,520 INFO] Epoch:10, Snapshot: 219; Loss: 0.5658
+[2024-06-11 21:44:05,410 INFO] Epoch:10, Snapshot: 220; Loss: 0.6048
+[2024-06-11 21:44:06,348 INFO] Epoch:10, Snapshot: 221; Loss: 0.6114
+[2024-06-11 21:44:07,254 INFO] Epoch:10, Snapshot: 222; Loss: 0.5505
+[2024-06-11 21:44:08,161 INFO] Epoch:10, Snapshot: 223; Loss: 0.5205
+[2024-06-11 21:44:09,052 INFO] Epoch:10, Snapshot: 224; Loss: 0.5315
+[2024-06-11 21:44:09,974 INFO] Epoch:10, Snapshot: 225; Loss: 0.5335
+[2024-06-11 21:44:10,943 INFO] Epoch:10, Snapshot: 226; Loss: 0.5938
+[2024-06-11 21:44:11,880 INFO] Epoch:10, Snapshot: 227; Loss: 0.5945
+[2024-06-11 21:44:12,787 INFO] Epoch:10, Snapshot: 228; Loss: 0.4785
+[2024-06-11 21:44:13,677 INFO] Epoch:10, Snapshot: 229; Loss: 0.5923
+[2024-06-11 21:44:14,599 INFO] Epoch:10, Snapshot: 230; Loss: 0.5373
+[2024-06-11 21:44:15,506 INFO] Epoch:10, Snapshot: 231; Loss: 0.5723
+[2024-06-11 21:44:16,414 INFO] Epoch:10, Snapshot: 232; Loss: 0.5233
+[2024-06-11 21:44:17,367 INFO] Epoch:10, Snapshot: 233; Loss: 0.5627
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+[2024-06-11 21:44:25,557 INFO] Epoch:10, Snapshot: 242; Loss: 0.5878
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+[2024-06-11 21:44:38,060 INFO] Epoch:10, Snapshot: 256; Loss: 0.7671
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+[2024-06-11 21:44:56,828 INFO] Epoch:10, Snapshot: 278; Loss: 0.5577
+[2024-06-11 21:44:57,687 INFO] Epoch:10, Snapshot: 279; Loss: 0.6283
+[2024-06-11 21:44:58,514 INFO] Epoch:10, Snapshot: 280; Loss: 0.5692
+[2024-06-11 21:44:59,342 INFO] Epoch:10, Snapshot: 281; Loss: 0.5752
+[2024-06-11 21:45:00,187 INFO] Epoch:10, Snapshot: 282; Loss: 0.5609
+[2024-06-11 21:45:01,093 INFO] Epoch:10, Snapshot: 283; Loss: 0.5709
+[2024-06-11 21:45:01,937 INFO] Epoch:10, Snapshot: 284; Loss: 0.5504
+[2024-06-11 21:45:02,797 INFO] Epoch:10, Snapshot: 285; Loss: 0.6000
+[2024-06-11 21:45:03,625 INFO] Epoch:10, Snapshot: 286; Loss: 0.5379
+[2024-06-11 21:45:04,454 INFO] Epoch:10, Snapshot: 287; Loss: 0.5877
+[2024-06-11 21:45:05,283 INFO] Epoch:10, Snapshot: 288; Loss: 0.5602
+[2024-06-11 21:45:06,158 INFO] Epoch:10, Snapshot: 289; Loss: 0.5946
+[2024-06-11 21:45:07,032 INFO] Epoch:10, Snapshot: 290; Loss: 0.6120
+[2024-06-11 21:45:07,892 INFO] Epoch:10, Snapshot: 291; Loss: 0.5706
+[2024-06-11 21:45:08,721 INFO] Epoch:10, Snapshot: 292; Loss: 0.5871
+[2024-06-11 21:45:09,565 INFO] Epoch:10, Snapshot: 293; Loss: 0.5907
+[2024-06-11 21:45:10,393 INFO] Epoch:10, Snapshot: 294; Loss: 0.6306
+[2024-06-11 21:45:11,237 INFO] Epoch:10, Snapshot: 295; Loss: 0.5943
+[2024-06-11 21:45:12,080 INFO] Epoch:10, Snapshot: 296; Loss: 0.5377
+[2024-06-11 21:45:12,925 INFO] Epoch:10, Snapshot: 297; Loss: 0.5319
+[2024-06-11 21:45:13,753 INFO] Epoch:10, Snapshot: 298; Loss: 0.6264
+[2024-06-11 21:45:14,582 INFO] Epoch:10, Snapshot: 299; Loss: 0.4903
+[2024-06-11 21:45:15,441 INFO] Epoch:10, Snapshot: 300; Loss: 0.5725
+[2024-06-11 21:45:16,285 INFO] Epoch:10, Snapshot: 301; Loss: 0.5489
+[2024-06-11 21:45:17,129 INFO] Epoch:10, Snapshot: 302; Loss: 0.5454
+[2024-06-11 21:45:17,976 INFO] Epoch:10, Snapshot: 303; Loss: 0.5563
+[2024-06-11 21:45:18,817 INFO] Epoch:10, Snapshot: 304; Loss: 0.4976
+[2024-06-11 21:45:19,693 INFO] Epoch:10, Snapshot: 305; Loss: 0.5591
+[2024-06-11 21:45:20,521 INFO] Epoch:10, Snapshot: 306; Loss: 0.5947
+[2024-06-11 21:45:21,350 INFO] Epoch:10, Snapshot: 307; Loss: 0.5391
+[2024-06-11 21:45:22,209 INFO] Epoch:10, Snapshot: 308; Loss: 0.5868
+[2024-06-11 21:45:23,069 INFO] Epoch:10, Snapshot: 309; Loss: 0.6164
+[2024-06-11 21:45:23,902 INFO] Epoch:10, Snapshot: 310; Loss: 0.4864
+[2024-06-11 21:45:24,710 INFO] Epoch:10, Snapshot: 311; Loss: 0.5526
+[2024-06-11 21:45:25,554 INFO] Epoch:10, Snapshot: 312; Loss: 0.5972
+[2024-06-11 21:45:26,429 INFO] Epoch:10, Snapshot: 313; Loss: 0.5214
+[2024-06-11 21:45:27,272 INFO] Epoch:10, Snapshot: 314; Loss: 0.5528
+[2024-06-11 21:45:28,101 INFO] Epoch:10, Snapshot: 315; Loss: 0.6176
+[2024-06-11 21:45:28,931 INFO] Epoch:10, Snapshot: 316; Loss: 0.5421
+[2024-06-11 21:45:29,742 INFO] Epoch:10, Snapshot: 317; Loss: 0.5943
+[2024-06-11 21:49:55,131 INFO] ==========================================================================================
+[2024-06-11 21:49:55,131 INFO] Epoch:10, Loss: 0.5885, Time: 556.007, GPU: 566.0MiB
+[2024-06-11 21:49:55,131 INFO] Epoch:10, Accuracy: 0.9039; F1: 0.9128; Recall: 0.9472; Precision: 0.8882; ROC AUC: 0.9039, Memory: 565.9653, time: 734.4438
+[2024-06-11 21:49:55,993 INFO] Epoch:11, Snapshot: 0; Loss: 0.6873
+[2024-06-11 21:49:57,777 INFO] Epoch:11, Snapshot: 1; Loss: 0.7141
+[2024-06-11 21:49:59,271 INFO] Epoch:11, Snapshot: 2; Loss: 0.6858
+[2024-06-11 21:50:00,740 INFO] Epoch:11, Snapshot: 3; Loss: 0.6725
+[2024-06-11 21:50:02,405 INFO] Epoch:11, Snapshot: 4; Loss: 0.6544
+[2024-06-11 21:50:04,072 INFO] Epoch:11, Snapshot: 5; Loss: 0.6618
+[2024-06-11 21:50:05,553 INFO] Epoch:11, Snapshot: 6; Loss: 0.6406
+[2024-06-11 21:50:07,291 INFO] Epoch:11, Snapshot: 7; Loss: 0.5770
+[2024-06-11 21:50:09,042 INFO] Epoch:11, Snapshot: 8; Loss: 0.5706
+[2024-06-11 21:50:10,721 INFO] Epoch:11, Snapshot: 9; Loss: 0.6360
+[2024-06-11 21:50:12,420 INFO] Epoch:11, Snapshot: 10; Loss: 0.5467
+[2024-06-11 21:50:13,942 INFO] Epoch:11, Snapshot: 11; Loss: 0.6022
+[2024-06-11 21:50:15,721 INFO] Epoch:11, Snapshot: 12; Loss: 0.6160
+[2024-06-11 21:50:17,434 INFO] Epoch:11, Snapshot: 13; Loss: 0.6262
+[2024-06-11 21:50:18,968 INFO] Epoch:11, Snapshot: 14; Loss: 0.5713
+[2024-06-11 21:50:20,602 INFO] Epoch:11, Snapshot: 15; Loss: 0.5613
+[2024-06-11 21:50:22,264 INFO] Epoch:11, Snapshot: 16; Loss: 0.5499
+[2024-06-11 21:50:24,134 INFO] Epoch:11, Snapshot: 17; Loss: 0.5394
+[2024-06-11 21:50:25,913 INFO] Epoch:11, Snapshot: 18; Loss: 0.5508
+[2024-06-11 21:50:27,612 INFO] Epoch:11, Snapshot: 19; Loss: 0.6446
+[2024-06-11 21:50:29,583 INFO] Epoch:11, Snapshot: 20; Loss: 0.6397
+[2024-06-11 21:50:31,385 INFO] Epoch:11, Snapshot: 21; Loss: 0.5682
+[2024-06-11 21:50:32,937 INFO] Epoch:11, Snapshot: 22; Loss: 0.5887
+[2024-06-11 21:50:34,613 INFO] Epoch:11, Snapshot: 23; Loss: 0.5860
+[2024-06-11 21:50:35,976 INFO] Epoch:11, Snapshot: 24; Loss: 0.5283
+[2024-06-11 21:50:37,581 INFO] Epoch:11, Snapshot: 25; Loss: 0.5951
+[2024-06-11 21:50:38,895 INFO] Epoch:11, Snapshot: 26; Loss: 0.6557
+[2024-06-11 21:50:40,676 INFO] Epoch:11, Snapshot: 27; Loss: 0.5670
+[2024-06-11 21:50:42,708 INFO] Epoch:11, Snapshot: 28; Loss: 0.5953
+[2024-06-11 21:50:44,434 INFO] Epoch:11, Snapshot: 29; Loss: 0.5841
+[2024-06-11 21:50:46,123 INFO] Epoch:11, Snapshot: 30; Loss: 0.7138
+[2024-06-11 21:50:47,388 INFO] Epoch:11, Snapshot: 31; Loss: 0.5946
+[2024-06-11 21:50:49,036 INFO] Epoch:11, Snapshot: 32; Loss: 0.6620
+[2024-06-11 21:50:50,240 INFO] Epoch:11, Snapshot: 33; Loss: 0.6652
+[2024-06-11 21:50:51,759 INFO] Epoch:11, Snapshot: 34; Loss: 0.6431
+[2024-06-11 21:50:53,445 INFO] Epoch:11, Snapshot: 35; Loss: 0.6777
+[2024-06-11 21:50:54,803 INFO] Epoch:11, Snapshot: 36; Loss: 0.5951
+[2024-06-11 21:50:56,328 INFO] Epoch:11, Snapshot: 37; Loss: 0.5380
+[2024-06-11 21:50:58,272 INFO] Epoch:11, Snapshot: 38; Loss: 0.5799
+[2024-06-11 21:50:59,703 INFO] Epoch:11, Snapshot: 39; Loss: 0.6708
+[2024-06-11 21:51:01,085 INFO] Epoch:11, Snapshot: 40; Loss: 0.6488
+[2024-06-11 21:51:02,510 INFO] Epoch:11, Snapshot: 41; Loss: 0.5636
+[2024-06-11 21:51:03,984 INFO] Epoch:11, Snapshot: 42; Loss: 0.6635
+[2024-06-11 21:51:05,472 INFO] Epoch:11, Snapshot: 43; Loss: 0.4878
+[2024-06-11 21:51:06,951 INFO] Epoch:11, Snapshot: 44; Loss: 0.6113
+[2024-06-11 21:51:08,374 INFO] Epoch:11, Snapshot: 45; Loss: 0.6453
+[2024-06-11 21:51:09,594 INFO] Epoch:11, Snapshot: 46; Loss: 0.6167
+[2024-06-11 21:51:11,001 INFO] Epoch:11, Snapshot: 47; Loss: 0.6923
+[2024-06-11 21:51:12,396 INFO] Epoch:11, Snapshot: 48; Loss: 0.6109
+[2024-06-11 21:51:14,488 INFO] Epoch:11, Snapshot: 49; Loss: 0.6348
+[2024-06-11 21:51:15,724 INFO] Epoch:11, Snapshot: 50; Loss: 0.5290
+[2024-06-11 21:51:17,361 INFO] Epoch:11, Snapshot: 51; Loss: 0.5672
+[2024-06-11 21:51:18,970 INFO] Epoch:11, Snapshot: 52; Loss: 0.5918
+[2024-06-11 21:51:20,178 INFO] Epoch:11, Snapshot: 53; Loss: 0.5361
+[2024-06-11 21:51:21,418 INFO] Epoch:11, Snapshot: 54; Loss: 0.6112
+[2024-06-11 21:51:22,862 INFO] Epoch:11, Snapshot: 55; Loss: 0.5740
+[2024-06-11 21:51:24,517 INFO] Epoch:11, Snapshot: 56; Loss: 0.6256
+[2024-06-11 21:51:26,001 INFO] Epoch:11, Snapshot: 57; Loss: 0.5202
+[2024-06-11 21:51:27,710 INFO] Epoch:11, Snapshot: 58; Loss: 0.6174
+[2024-06-11 21:51:29,618 INFO] Epoch:11, Snapshot: 59; Loss: 0.5457
+[2024-06-11 21:51:31,604 INFO] Epoch:11, Snapshot: 60; Loss: 0.5669
+[2024-06-11 21:51:33,261 INFO] Epoch:11, Snapshot: 61; Loss: 0.5475
+[2024-06-11 21:51:35,109 INFO] Epoch:11, Snapshot: 62; Loss: 0.5879
+[2024-06-11 21:51:36,194 INFO] Epoch:11, Snapshot: 63; Loss: 0.5769
+[2024-06-11 21:51:37,403 INFO] Epoch:11, Snapshot: 64; Loss: 0.6093
+[2024-06-11 21:51:38,585 INFO] Epoch:11, Snapshot: 65; Loss: 0.5259
+[2024-06-11 21:51:40,068 INFO] Epoch:11, Snapshot: 66; Loss: 0.6433
+[2024-06-11 21:51:41,669 INFO] Epoch:11, Snapshot: 67; Loss: 0.5068
+[2024-06-11 21:51:43,019 INFO] Epoch:11, Snapshot: 68; Loss: 0.6418
+[2024-06-11 21:51:44,321 INFO] Epoch:11, Snapshot: 69; Loss: 0.5506
+[2024-06-11 21:51:45,733 INFO] Epoch:11, Snapshot: 70; Loss: 0.5291
+[2024-06-11 21:51:47,052 INFO] Epoch:11, Snapshot: 71; Loss: 0.5709
+[2024-06-11 21:51:48,307 INFO] Epoch:11, Snapshot: 72; Loss: 0.5678
+[2024-06-11 21:51:49,609 INFO] Epoch:11, Snapshot: 73; Loss: 0.6063
+[2024-06-11 21:51:51,304 INFO] Epoch:11, Snapshot: 74; Loss: 0.4777
+[2024-06-11 21:51:53,044 INFO] Epoch:11, Snapshot: 75; Loss: 0.5958
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+[2024-06-11 21:51:56,587 INFO] Epoch:11, Snapshot: 77; Loss: 0.5657
+[2024-06-11 21:51:58,126 INFO] Epoch:11, Snapshot: 78; Loss: 0.5015
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+[2024-06-11 21:52:05,467 INFO] Epoch:11, Snapshot: 83; Loss: 0.5887
+[2024-06-11 21:52:07,224 INFO] Epoch:11, Snapshot: 84; Loss: 0.5954
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+[2024-06-11 21:52:09,388 INFO] Epoch:11, Snapshot: 86; Loss: 0.5935
+[2024-06-11 21:52:10,863 INFO] Epoch:11, Snapshot: 87; Loss: 0.6643
+[2024-06-11 21:52:12,118 INFO] Epoch:11, Snapshot: 88; Loss: 0.6509
+[2024-06-11 21:52:13,705 INFO] Epoch:11, Snapshot: 89; Loss: 0.5479
+[2024-06-11 21:52:15,710 INFO] Epoch:11, Snapshot: 90; Loss: 0.5858
+[2024-06-11 21:52:17,611 INFO] Epoch:11, Snapshot: 91; Loss: 0.6412
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+[2024-06-11 21:52:22,081 INFO] Epoch:11, Snapshot: 94; Loss: 0.5975
+[2024-06-11 21:52:23,488 INFO] Epoch:11, Snapshot: 95; Loss: 0.5191
+[2024-06-11 21:52:25,333 INFO] Epoch:11, Snapshot: 96; Loss: 0.5304
+[2024-06-11 21:52:26,898 INFO] Epoch:11, Snapshot: 97; Loss: 0.5968
+[2024-06-11 21:52:27,930 INFO] Epoch:11, Snapshot: 98; Loss: 0.5051
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+[2024-06-11 21:52:31,697 INFO] Epoch:11, Snapshot: 102; Loss: 0.5994
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+[2024-06-11 21:53:07,056 INFO] Epoch:11, Snapshot: 139; Loss: 0.6010
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+[2024-06-11 21:53:08,994 INFO] Epoch:11, Snapshot: 141; Loss: 0.6023
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+[2024-06-11 21:54:23,781 INFO] Epoch:11, Snapshot: 220; Loss: 0.6006
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+[2024-06-11 21:55:18,100 INFO] Epoch:11, Snapshot: 280; Loss: 0.5728
+[2024-06-11 21:55:18,960 INFO] Epoch:11, Snapshot: 281; Loss: 0.5918
+[2024-06-11 21:55:19,820 INFO] Epoch:11, Snapshot: 282; Loss: 0.5360
+[2024-06-11 21:55:20,696 INFO] Epoch:11, Snapshot: 283; Loss: 0.5422
+[2024-06-11 21:55:21,523 INFO] Epoch:11, Snapshot: 284; Loss: 0.5639
+[2024-06-11 21:55:22,367 INFO] Epoch:11, Snapshot: 285; Loss: 0.5728
+[2024-06-11 21:55:23,274 INFO] Epoch:11, Snapshot: 286; Loss: 0.5703
+[2024-06-11 21:55:24,149 INFO] Epoch:11, Snapshot: 287; Loss: 0.5529
+[2024-06-11 21:55:24,978 INFO] Epoch:11, Snapshot: 288; Loss: 0.5708
+[2024-06-11 21:55:25,837 INFO] Epoch:11, Snapshot: 289; Loss: 0.5814
+[2024-06-11 21:55:26,716 INFO] Epoch:11, Snapshot: 290; Loss: 0.6096
+[2024-06-11 21:55:27,572 INFO] Epoch:11, Snapshot: 291; Loss: 0.5848
+[2024-06-11 21:55:28,416 INFO] Epoch:11, Snapshot: 292; Loss: 0.5637
+[2024-06-11 21:55:29,276 INFO] Epoch:11, Snapshot: 293; Loss: 0.5782
+[2024-06-11 21:55:30,121 INFO] Epoch:11, Snapshot: 294; Loss: 0.5592
+[2024-06-11 21:55:30,965 INFO] Epoch:11, Snapshot: 295; Loss: 0.5583
+[2024-06-11 21:55:31,824 INFO] Epoch:11, Snapshot: 296; Loss: 0.6170
+[2024-06-11 21:55:32,699 INFO] Epoch:11, Snapshot: 297; Loss: 0.5294
+[2024-06-11 21:55:33,559 INFO] Epoch:11, Snapshot: 298; Loss: 0.5696
+[2024-06-11 21:55:34,403 INFO] Epoch:11, Snapshot: 299; Loss: 0.5103
+[2024-06-11 21:55:35,266 INFO] Epoch:11, Snapshot: 300; Loss: 0.5125
+[2024-06-11 21:55:36,138 INFO] Epoch:11, Snapshot: 301; Loss: 0.5944
+[2024-06-11 21:55:36,966 INFO] Epoch:11, Snapshot: 302; Loss: 0.5276
+[2024-06-11 21:55:37,810 INFO] Epoch:11, Snapshot: 303; Loss: 0.5352
+[2024-06-11 21:55:38,639 INFO] Epoch:11, Snapshot: 304; Loss: 0.5120
+[2024-06-11 21:55:39,437 INFO] Epoch:11, Snapshot: 305; Loss: 0.5743
+[2024-06-11 21:55:40,269 INFO] Epoch:11, Snapshot: 306; Loss: 0.5344
+[2024-06-11 21:55:41,111 INFO] Epoch:11, Snapshot: 307; Loss: 0.5584
+[2024-06-11 21:55:41,955 INFO] Epoch:11, Snapshot: 308; Loss: 0.5955
+[2024-06-11 21:55:42,814 INFO] Epoch:11, Snapshot: 309; Loss: 0.4990
+[2024-06-11 21:55:43,643 INFO] Epoch:11, Snapshot: 310; Loss: 0.5160
+[2024-06-11 21:55:44,472 INFO] Epoch:11, Snapshot: 311; Loss: 0.5412
+[2024-06-11 21:55:45,301 INFO] Epoch:11, Snapshot: 312; Loss: 0.6192
+[2024-06-11 21:55:46,160 INFO] Epoch:11, Snapshot: 313; Loss: 0.5163
+[2024-06-11 21:55:47,051 INFO] Epoch:11, Snapshot: 314; Loss: 0.5964
+[2024-06-11 21:55:47,974 INFO] Epoch:11, Snapshot: 315; Loss: 0.5343
+[2024-06-11 21:55:48,865 INFO] Epoch:11, Snapshot: 316; Loss: 0.5947
+[2024-06-11 21:55:49,741 INFO] Epoch:11, Snapshot: 317; Loss: 0.5544
+[2024-06-11 22:00:33,794 INFO] ==========================================================================================
+[2024-06-11 22:00:33,794 INFO] Epoch:11, Loss: 0.5805, Time: 638.663, GPU: 566.0MiB
+[2024-06-11 22:00:33,794 INFO] Epoch:11, Accuracy: 0.9042; F1: 0.9131; Recall: 0.9473; Precision: 0.8880; ROC AUC: 0.9041, Memory: 565.9653, time: 793.8999
+[2024-06-11 22:00:34,780 INFO] Epoch:12, Snapshot: 0; Loss: 0.6932
+[2024-06-11 22:00:35,952 INFO] Epoch:12, Snapshot: 1; Loss: 0.6924
+[2024-06-11 22:00:37,094 INFO] Epoch:12, Snapshot: 2; Loss: 0.6697
+[2024-06-11 22:00:38,266 INFO] Epoch:12, Snapshot: 3; Loss: 0.7203
+[2024-06-11 22:00:39,345 INFO] Epoch:12, Snapshot: 4; Loss: 0.7010
+[2024-06-11 22:00:40,440 INFO] Epoch:12, Snapshot: 5; Loss: 0.6508
+[2024-06-11 22:00:41,518 INFO] Epoch:12, Snapshot: 6; Loss: 0.6288
+[2024-06-11 22:00:42,582 INFO] Epoch:12, Snapshot: 7; Loss: 0.5603
+[2024-06-11 22:00:43,692 INFO] Epoch:12, Snapshot: 8; Loss: 0.6079
+[2024-06-11 22:00:44,833 INFO] Epoch:12, Snapshot: 9; Loss: 0.6353
+[2024-06-11 22:00:45,913 INFO] Epoch:12, Snapshot: 10; Loss: 0.8169
+[2024-06-11 22:00:46,945 INFO] Epoch:12, Snapshot: 11; Loss: 0.5427
+[2024-06-11 22:00:48,039 INFO] Epoch:12, Snapshot: 12; Loss: 0.5488
+[2024-06-11 22:00:49,133 INFO] Epoch:12, Snapshot: 13; Loss: 0.5801
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+[2024-06-11 22:00:51,337 INFO] Epoch:12, Snapshot: 15; Loss: 0.6609
+[2024-06-11 22:00:52,509 INFO] Epoch:12, Snapshot: 16; Loss: 0.5383
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+[2024-06-11 22:00:56,668 INFO] Epoch:12, Snapshot: 20; Loss: 0.6493
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+[2024-06-11 22:01:03,233 INFO] Epoch:12, Snapshot: 27; Loss: 0.6531
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+[2024-06-11 22:01:16,129 INFO] Epoch:12, Snapshot: 40; Loss: 0.5841
+[2024-06-11 22:01:17,114 INFO] Epoch:12, Snapshot: 41; Loss: 0.6744
+[2024-06-11 22:01:18,067 INFO] Epoch:12, Snapshot: 42; Loss: 0.6203
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+[2024-06-11 22:01:20,099 INFO] Epoch:12, Snapshot: 44; Loss: 0.6477
+[2024-06-11 22:01:21,089 INFO] Epoch:12, Snapshot: 45; Loss: 0.6677
+[2024-06-11 22:01:22,085 INFO] Epoch:12, Snapshot: 46; Loss: 0.5063
+[2024-06-11 22:01:23,085 INFO] Epoch:12, Snapshot: 47; Loss: 0.5811
+[2024-06-11 22:01:24,086 INFO] Epoch:12, Snapshot: 48; Loss: 0.5551
+[2024-06-11 22:01:25,087 INFO] Epoch:12, Snapshot: 49; Loss: 0.6261
+[2024-06-11 22:01:26,072 INFO] Epoch:12, Snapshot: 50; Loss: 0.5648
+[2024-06-11 22:01:27,102 INFO] Epoch:12, Snapshot: 51; Loss: 0.6360
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+[2024-06-11 22:01:29,139 INFO] Epoch:12, Snapshot: 53; Loss: 0.5979
+[2024-06-11 22:01:30,120 INFO] Epoch:12, Snapshot: 54; Loss: 0.6191
+[2024-06-11 22:01:31,103 INFO] Epoch:12, Snapshot: 55; Loss: 0.5648
+[2024-06-11 22:01:32,057 INFO] Epoch:12, Snapshot: 56; Loss: 0.5014
+[2024-06-11 22:01:33,009 INFO] Epoch:12, Snapshot: 57; Loss: 0.5219
+[2024-06-11 22:01:33,978 INFO] Epoch:12, Snapshot: 58; Loss: 0.6483
+[2024-06-11 22:01:34,947 INFO] Epoch:12, Snapshot: 59; Loss: 0.5208
+[2024-06-11 22:01:35,917 INFO] Epoch:12, Snapshot: 60; Loss: 0.5501
+[2024-06-11 22:01:36,899 INFO] Epoch:12, Snapshot: 61; Loss: 0.5675
+[2024-06-11 22:01:37,854 INFO] Epoch:12, Snapshot: 62; Loss: 0.5529
+[2024-06-11 22:01:38,839 INFO] Epoch:12, Snapshot: 63; Loss: 0.5579
+[2024-06-11 22:01:39,888 INFO] Epoch:12, Snapshot: 64; Loss: 0.5827
+[2024-06-11 22:01:40,920 INFO] Epoch:12, Snapshot: 65; Loss: 0.5214
+[2024-06-11 22:01:41,889 INFO] Epoch:12, Snapshot: 66; Loss: 0.6563
+[2024-06-11 22:01:42,828 INFO] Epoch:12, Snapshot: 67; Loss: 0.5615
+[2024-06-11 22:01:43,765 INFO] Epoch:12, Snapshot: 68; Loss: 0.5665
+[2024-06-11 22:01:44,687 INFO] Epoch:12, Snapshot: 69; Loss: 0.5824
+[2024-06-11 22:01:45,625 INFO] Epoch:12, Snapshot: 70; Loss: 0.5640
+[2024-06-11 22:01:46,547 INFO] Epoch:12, Snapshot: 71; Loss: 0.6372
+[2024-06-11 22:01:47,484 INFO] Epoch:12, Snapshot: 72; Loss: 0.6097
+[2024-06-11 22:01:48,438 INFO] Epoch:12, Snapshot: 73; Loss: 0.5985
+[2024-06-11 22:01:49,376 INFO] Epoch:12, Snapshot: 74; Loss: 0.5374
+[2024-06-11 22:01:50,377 INFO] Epoch:12, Snapshot: 75; Loss: 0.5895
+[2024-06-11 22:01:51,330 INFO] Epoch:12, Snapshot: 76; Loss: 0.4785
+[2024-06-11 22:01:52,284 INFO] Epoch:12, Snapshot: 77; Loss: 0.5762
+[2024-06-11 22:01:53,254 INFO] Epoch:12, Snapshot: 78; Loss: 0.5508
+[2024-06-11 22:01:54,224 INFO] Epoch:12, Snapshot: 79; Loss: 0.5952
+[2024-06-11 22:01:55,193 INFO] Epoch:12, Snapshot: 80; Loss: 0.4991
+[2024-06-11 22:01:56,147 INFO] Epoch:12, Snapshot: 81; Loss: 0.5192
+[2024-06-11 22:01:57,162 INFO] Epoch:12, Snapshot: 82; Loss: 0.4912
+[2024-06-11 22:01:58,132 INFO] Epoch:12, Snapshot: 83; Loss: 0.5444
+[2024-06-11 22:01:59,101 INFO] Epoch:12, Snapshot: 84; Loss: 0.5693
+[2024-06-11 22:02:00,055 INFO] Epoch:12, Snapshot: 85; Loss: 0.5251
+[2024-06-11 22:02:01,039 INFO] Epoch:12, Snapshot: 86; Loss: 0.5582
+[2024-06-11 22:02:02,056 INFO] Epoch:12, Snapshot: 87; Loss: 0.6554
+[2024-06-11 22:02:03,041 INFO] Epoch:12, Snapshot: 88; Loss: 0.5985
+[2024-06-11 22:02:04,011 INFO] Epoch:12, Snapshot: 89; Loss: 0.5692
+[2024-06-11 22:02:04,997 INFO] Epoch:12, Snapshot: 90; Loss: 0.6526
+[2024-06-11 22:02:05,935 INFO] Epoch:12, Snapshot: 91; Loss: 0.5290
+[2024-06-11 22:02:06,872 INFO] Epoch:12, Snapshot: 92; Loss: 0.5269
+[2024-06-11 22:02:07,826 INFO] Epoch:12, Snapshot: 93; Loss: 0.5851
+[2024-06-11 22:02:08,811 INFO] Epoch:12, Snapshot: 94; Loss: 0.5210
+[2024-06-11 22:02:09,781 INFO] Epoch:12, Snapshot: 95; Loss: 0.5722
+[2024-06-11 22:02:10,750 INFO] Epoch:12, Snapshot: 96; Loss: 0.5476
+[2024-06-11 22:02:11,673 INFO] Epoch:12, Snapshot: 97; Loss: 0.5270
+[2024-06-11 22:02:12,642 INFO] Epoch:12, Snapshot: 98; Loss: 0.4731
+[2024-06-11 22:02:13,658 INFO] Epoch:12, Snapshot: 99; Loss: 0.7124
+[2024-06-11 22:02:14,643 INFO] Epoch:12, Snapshot: 100; Loss: 0.5990
+[2024-06-11 22:02:15,596 INFO] Epoch:12, Snapshot: 101; Loss: 0.6046
+[2024-06-11 22:02:16,534 INFO] Epoch:12, Snapshot: 102; Loss: 0.6049
+[2024-06-11 22:02:17,472 INFO] Epoch:12, Snapshot: 103; Loss: 0.5955
+[2024-06-11 22:02:18,410 INFO] Epoch:12, Snapshot: 104; Loss: 0.5801
+[2024-06-11 22:02:19,380 INFO] Epoch:12, Snapshot: 105; Loss: 0.5729
+[2024-06-11 22:02:20,333 INFO] Epoch:12, Snapshot: 106; Loss: 0.5034
+[2024-06-11 22:02:21,271 INFO] Epoch:12, Snapshot: 107; Loss: 0.5151
+[2024-06-11 22:02:22,273 INFO] Epoch:12, Snapshot: 108; Loss: 0.4907
+[2024-06-11 22:02:23,240 INFO] Epoch:12, Snapshot: 109; Loss: 0.5719
+[2024-06-11 22:02:24,245 INFO] Epoch:12, Snapshot: 110; Loss: 0.5924
+[2024-06-11 22:02:25,241 INFO] Epoch:12, Snapshot: 111; Loss: 0.5933
+[2024-06-11 22:02:26,226 INFO] Epoch:12, Snapshot: 112; Loss: 0.5330
+[2024-06-11 22:02:27,181 INFO] Epoch:12, Snapshot: 113; Loss: 0.4917
+[2024-06-11 22:02:28,119 INFO] Epoch:12, Snapshot: 114; Loss: 0.5102
+[2024-06-11 22:02:29,072 INFO] Epoch:12, Snapshot: 115; Loss: 0.5738
+[2024-06-11 22:02:29,979 INFO] Epoch:12, Snapshot: 116; Loss: 0.5589
+[2024-06-11 22:02:30,885 INFO] Epoch:12, Snapshot: 117; Loss: 0.6043
+[2024-06-11 22:02:31,823 INFO] Epoch:12, Snapshot: 118; Loss: 0.5133
+[2024-06-11 22:02:32,730 INFO] Epoch:12, Snapshot: 119; Loss: 0.5427
+[2024-06-11 22:02:33,715 INFO] Epoch:12, Snapshot: 120; Loss: 0.6603
+[2024-06-11 22:02:34,700 INFO] Epoch:12, Snapshot: 121; Loss: 0.5177
+[2024-06-11 22:02:35,638 INFO] Epoch:12, Snapshot: 122; Loss: 0.6243
+[2024-06-11 22:02:36,576 INFO] Epoch:12, Snapshot: 123; Loss: 0.5271
+[2024-06-11 22:02:37,529 INFO] Epoch:12, Snapshot: 124; Loss: 0.5423
+[2024-06-11 22:02:38,436 INFO] Epoch:12, Snapshot: 125; Loss: 0.5098
+[2024-06-11 22:02:39,389 INFO] Epoch:12, Snapshot: 126; Loss: 0.5576
+[2024-06-11 22:02:40,327 INFO] Epoch:12, Snapshot: 127; Loss: 0.6242
+[2024-06-11 22:02:41,280 INFO] Epoch:12, Snapshot: 128; Loss: 0.4081
+[2024-06-11 22:02:42,234 INFO] Epoch:12, Snapshot: 129; Loss: 0.5712
+[2024-06-11 22:02:43,204 INFO] Epoch:12, Snapshot: 130; Loss: 0.6038
+[2024-06-11 22:02:44,173 INFO] Epoch:12, Snapshot: 131; Loss: 0.5518
+[2024-06-11 22:02:45,111 INFO] Epoch:12, Snapshot: 132; Loss: 0.5238
+[2024-06-11 22:02:46,082 INFO] Epoch:12, Snapshot: 133; Loss: 0.4890
+[2024-06-11 22:02:47,034 INFO] Epoch:12, Snapshot: 134; Loss: 0.5696
+[2024-06-11 22:02:48,019 INFO] Epoch:12, Snapshot: 135; Loss: 0.5715
+[2024-06-11 22:02:49,020 INFO] Epoch:12, Snapshot: 136; Loss: 0.4525
+[2024-06-11 22:02:49,989 INFO] Epoch:12, Snapshot: 137; Loss: 0.5247
+[2024-06-11 22:02:50,896 INFO] Epoch:12, Snapshot: 138; Loss: 0.5929
+[2024-06-11 22:02:51,834 INFO] Epoch:12, Snapshot: 139; Loss: 0.6898
+[2024-06-11 22:02:52,788 INFO] Epoch:12, Snapshot: 140; Loss: 0.6412
+[2024-06-11 22:02:53,695 INFO] Epoch:12, Snapshot: 141; Loss: 0.6333
+[2024-06-11 22:02:54,601 INFO] Epoch:12, Snapshot: 142; Loss: 0.5713
+[2024-06-11 22:02:55,554 INFO] Epoch:12, Snapshot: 143; Loss: 0.5786
+[2024-06-11 22:02:56,477 INFO] Epoch:12, Snapshot: 144; Loss: 0.5673
+[2024-06-11 22:02:57,415 INFO] Epoch:12, Snapshot: 145; Loss: 0.5688
+[2024-06-11 22:02:58,368 INFO] Epoch:12, Snapshot: 146; Loss: 0.6355
+[2024-06-11 22:02:59,309 INFO] Epoch:12, Snapshot: 147; Loss: 0.4879
+[2024-06-11 22:03:00,244 INFO] Epoch:12, Snapshot: 148; Loss: 0.4620
+[2024-06-11 22:03:01,197 INFO] Epoch:12, Snapshot: 149; Loss: 0.5649
+[2024-06-11 22:03:02,135 INFO] Epoch:12, Snapshot: 150; Loss: 0.5444
+[2024-06-11 22:03:03,105 INFO] Epoch:12, Snapshot: 151; Loss: 0.5896
+[2024-06-11 22:03:04,075 INFO] Epoch:12, Snapshot: 152; Loss: 0.5786
+[2024-06-11 22:03:05,044 INFO] Epoch:12, Snapshot: 153; Loss: 0.5253
+[2024-06-11 22:03:06,013 INFO] Epoch:12, Snapshot: 154; Loss: 0.6593
+[2024-06-11 22:03:06,982 INFO] Epoch:12, Snapshot: 155; Loss: 0.6508
+[2024-06-11 22:03:07,920 INFO] Epoch:12, Snapshot: 156; Loss: 0.6627
+[2024-06-11 22:03:08,780 INFO] Epoch:12, Snapshot: 157; Loss: 0.5321
+[2024-06-11 22:03:09,655 INFO] Epoch:12, Snapshot: 158; Loss: 0.6501
+[2024-06-11 22:03:10,562 INFO] Epoch:12, Snapshot: 159; Loss: 0.6091
+[2024-06-11 22:03:11,500 INFO] Epoch:12, Snapshot: 160; Loss: 0.5603
+[2024-06-11 22:03:12,484 INFO] Epoch:12, Snapshot: 161; Loss: 0.5855
+[2024-06-11 22:03:13,423 INFO] Epoch:12, Snapshot: 162; Loss: 0.6210
+[2024-06-11 22:03:14,377 INFO] Epoch:12, Snapshot: 163; Loss: 0.6319
+[2024-06-11 22:03:15,330 INFO] Epoch:12, Snapshot: 164; Loss: 0.6414
+[2024-06-11 22:03:16,237 INFO] Epoch:12, Snapshot: 165; Loss: 0.4472
+[2024-06-11 22:03:17,160 INFO] Epoch:12, Snapshot: 166; Loss: 0.5533
+[2024-06-11 22:03:18,113 INFO] Epoch:12, Snapshot: 167; Loss: 0.5535
+[2024-06-11 22:03:19,083 INFO] Epoch:12, Snapshot: 168; Loss: 0.5755
+[2024-06-11 22:03:20,037 INFO] Epoch:12, Snapshot: 169; Loss: 0.5041
+[2024-06-11 22:03:20,990 INFO] Epoch:12, Snapshot: 170; Loss: 0.6236
+[2024-06-11 22:03:21,928 INFO] Epoch:12, Snapshot: 171; Loss: 0.4628
+[2024-06-11 22:03:22,883 INFO] Epoch:12, Snapshot: 172; Loss: 0.5570
+[2024-06-11 22:03:23,804 INFO] Epoch:12, Snapshot: 173; Loss: 0.5910
+[2024-06-11 22:03:24,789 INFO] Epoch:12, Snapshot: 174; Loss: 0.4981
+[2024-06-11 22:03:25,789 INFO] Epoch:12, Snapshot: 175; Loss: 0.5103
+[2024-06-11 22:03:26,774 INFO] Epoch:12, Snapshot: 176; Loss: 0.5206
+[2024-06-11 22:03:27,697 INFO] Epoch:12, Snapshot: 177; Loss: 0.5475
+[2024-06-11 22:03:28,619 INFO] Epoch:12, Snapshot: 178; Loss: 0.5323
+[2024-06-11 22:03:29,557 INFO] Epoch:12, Snapshot: 179; Loss: 0.5304
+[2024-06-11 22:03:30,495 INFO] Epoch:12, Snapshot: 180; Loss: 0.4688
+[2024-06-11 22:03:31,417 INFO] Epoch:12, Snapshot: 181; Loss: 0.5716
+[2024-06-11 22:03:32,405 INFO] Epoch:12, Snapshot: 182; Loss: 0.5760
+[2024-06-11 22:03:33,434 INFO] Epoch:12, Snapshot: 183; Loss: 0.5397
+[2024-06-11 22:03:34,387 INFO] Epoch:12, Snapshot: 184; Loss: 0.5430
+[2024-06-11 22:03:35,341 INFO] Epoch:12, Snapshot: 185; Loss: 0.5953
+[2024-06-11 22:03:36,295 INFO] Epoch:12, Snapshot: 186; Loss: 0.4987
+[2024-06-11 22:03:37,233 INFO] Epoch:12, Snapshot: 187; Loss: 0.4775
+[2024-06-11 22:03:38,187 INFO] Epoch:12, Snapshot: 188; Loss: 0.6278
+[2024-06-11 22:03:39,125 INFO] Epoch:12, Snapshot: 189; Loss: 0.5553
+[2024-06-11 22:03:40,032 INFO] Epoch:12, Snapshot: 190; Loss: 0.5423
+[2024-06-11 22:03:40,970 INFO] Epoch:12, Snapshot: 191; Loss: 0.6807
+[2024-06-11 22:03:41,924 INFO] Epoch:12, Snapshot: 192; Loss: 0.4715
+[2024-06-11 22:03:42,893 INFO] Epoch:12, Snapshot: 193; Loss: 0.5190
+[2024-06-11 22:03:43,847 INFO] Epoch:12, Snapshot: 194; Loss: 0.6324
+[2024-06-11 22:03:44,785 INFO] Epoch:12, Snapshot: 195; Loss: 0.5957
+[2024-06-11 22:03:45,692 INFO] Epoch:12, Snapshot: 196; Loss: 0.5637
+[2024-06-11 22:03:46,628 INFO] Epoch:12, Snapshot: 197; Loss: 0.5639
+[2024-06-11 22:03:47,537 INFO] Epoch:12, Snapshot: 198; Loss: 0.6255
+[2024-06-11 22:03:48,443 INFO] Epoch:12, Snapshot: 199; Loss: 0.5354
+[2024-06-11 22:03:49,386 INFO] Epoch:12, Snapshot: 200; Loss: 0.5657
+[2024-06-11 22:03:50,350 INFO] Epoch:12, Snapshot: 201; Loss: 0.5138
+[2024-06-11 22:03:51,335 INFO] Epoch:12, Snapshot: 202; Loss: 0.5749
+[2024-06-11 22:03:52,257 INFO] Epoch:12, Snapshot: 203; Loss: 0.6159
+[2024-06-11 22:03:53,188 INFO] Epoch:12, Snapshot: 204; Loss: 0.5821
+[2024-06-11 22:03:54,101 INFO] Epoch:12, Snapshot: 205; Loss: 0.5256
+[2024-06-11 22:03:55,025 INFO] Epoch:12, Snapshot: 206; Loss: 0.5601
+[2024-06-11 22:03:55,947 INFO] Epoch:12, Snapshot: 207; Loss: 0.5577
+[2024-06-11 22:03:56,870 INFO] Epoch:12, Snapshot: 208; Loss: 0.4645
+[2024-06-11 22:03:57,792 INFO] Epoch:12, Snapshot: 209; Loss: 0.5269
+[2024-06-11 22:03:58,761 INFO] Epoch:12, Snapshot: 210; Loss: 0.5628
+[2024-06-11 22:03:59,718 INFO] Epoch:12, Snapshot: 211; Loss: 0.5724
+[2024-06-11 22:04:00,637 INFO] Epoch:12, Snapshot: 212; Loss: 0.4560
+[2024-06-11 22:04:01,560 INFO] Epoch:12, Snapshot: 213; Loss: 0.5768
+[2024-06-11 22:04:02,498 INFO] Epoch:12, Snapshot: 214; Loss: 0.5021
+[2024-06-11 22:04:03,420 INFO] Epoch:12, Snapshot: 215; Loss: 0.5409
+[2024-06-11 22:04:04,390 INFO] Epoch:12, Snapshot: 216; Loss: 0.6562
+[2024-06-11 22:04:05,344 INFO] Epoch:12, Snapshot: 217; Loss: 0.4735
+[2024-06-11 22:04:06,297 INFO] Epoch:12, Snapshot: 218; Loss: 0.5263
+[2024-06-11 22:04:07,220 INFO] Epoch:12, Snapshot: 219; Loss: 0.5045
+[2024-06-11 22:04:08,142 INFO] Epoch:12, Snapshot: 220; Loss: 0.5676
+[2024-06-11 22:04:09,110 INFO] Epoch:12, Snapshot: 221; Loss: 0.5538
+[2024-06-11 22:04:10,048 INFO] Epoch:12, Snapshot: 222; Loss: 0.5675
+[2024-06-11 22:04:10,986 INFO] Epoch:12, Snapshot: 223; Loss: 0.6073
+[2024-06-11 22:04:11,956 INFO] Epoch:12, Snapshot: 224; Loss: 0.5390
+[2024-06-11 22:04:12,863 INFO] Epoch:12, Snapshot: 225; Loss: 0.5621
+[2024-06-11 22:04:13,778 INFO] Epoch:12, Snapshot: 226; Loss: 0.6010
+[2024-06-11 22:04:14,700 INFO] Epoch:12, Snapshot: 227; Loss: 0.5134
+[2024-06-11 22:04:15,637 INFO] Epoch:12, Snapshot: 228; Loss: 0.5208
+[2024-06-11 22:04:16,575 INFO] Epoch:12, Snapshot: 229; Loss: 0.6316
+[2024-06-11 22:04:17,529 INFO] Epoch:12, Snapshot: 230; Loss: 0.5268
+[2024-06-11 22:04:18,499 INFO] Epoch:12, Snapshot: 231; Loss: 0.5920
+[2024-06-11 22:04:19,421 INFO] Epoch:12, Snapshot: 232; Loss: 0.4796
+[2024-06-11 22:04:20,327 INFO] Epoch:12, Snapshot: 233; Loss: 0.5808
+[2024-06-11 22:04:21,219 INFO] Epoch:12, Snapshot: 234; Loss: 0.6288
+[2024-06-11 22:04:22,156 INFO] Epoch:12, Snapshot: 235; Loss: 0.5062
+[2024-06-11 22:04:23,110 INFO] Epoch:12, Snapshot: 236; Loss: 0.4845
+[2024-06-11 22:04:24,048 INFO] Epoch:12, Snapshot: 237; Loss: 0.4834
+[2024-06-11 22:04:24,986 INFO] Epoch:12, Snapshot: 238; Loss: 0.5248
+[2024-06-11 22:04:25,940 INFO] Epoch:12, Snapshot: 239; Loss: 0.5493
+[2024-06-11 22:04:26,893 INFO] Epoch:12, Snapshot: 240; Loss: 0.6036
+[2024-06-11 22:04:27,816 INFO] Epoch:12, Snapshot: 241; Loss: 0.6128
+[2024-06-11 22:04:28,737 INFO] Epoch:12, Snapshot: 242; Loss: 0.4551
+[2024-06-11 22:04:29,723 INFO] Epoch:12, Snapshot: 243; Loss: 0.5587
+[2024-06-11 22:04:30,676 INFO] Epoch:12, Snapshot: 244; Loss: 0.5409
+[2024-06-11 22:04:31,599 INFO] Epoch:12, Snapshot: 245; Loss: 0.5762
+[2024-06-11 22:04:32,538 INFO] Epoch:12, Snapshot: 246; Loss: 0.5589
+[2024-06-11 22:04:33,491 INFO] Epoch:12, Snapshot: 247; Loss: 0.5437
+[2024-06-11 22:04:34,429 INFO] Epoch:12, Snapshot: 248; Loss: 0.5661
+[2024-06-11 22:04:35,336 INFO] Epoch:12, Snapshot: 249; Loss: 0.6519
+[2024-06-11 22:04:36,273 INFO] Epoch:12, Snapshot: 250; Loss: 0.5268
+[2024-06-11 22:04:37,195 INFO] Epoch:12, Snapshot: 251; Loss: 0.5888
+[2024-06-11 22:04:38,086 INFO] Epoch:12, Snapshot: 252; Loss: 0.7005
+[2024-06-11 22:04:38,993 INFO] Epoch:12, Snapshot: 253; Loss: 0.7521
+[2024-06-11 22:04:39,868 INFO] Epoch:12, Snapshot: 254; Loss: 0.6268
+[2024-06-11 22:04:40,765 INFO] Epoch:12, Snapshot: 255; Loss: 0.6535
+[2024-06-11 22:04:41,744 INFO] Epoch:12, Snapshot: 256; Loss: 0.7552
+[2024-06-11 22:04:42,650 INFO] Epoch:12, Snapshot: 257; Loss: 0.6384
+[2024-06-11 22:04:43,573 INFO] Epoch:12, Snapshot: 258; Loss: 0.6548
+[2024-06-11 22:04:44,448 INFO] Epoch:12, Snapshot: 259; Loss: 0.7798
+[2024-06-11 22:04:45,293 INFO] Epoch:12, Snapshot: 260; Loss: 0.7849
+[2024-06-11 22:04:46,152 INFO] Epoch:12, Snapshot: 261; Loss: 0.7774
+[2024-06-11 22:04:46,981 INFO] Epoch:12, Snapshot: 262; Loss: 0.7290
+[2024-06-11 22:04:47,841 INFO] Epoch:12, Snapshot: 263; Loss: 0.7205
+[2024-06-11 22:04:48,669 INFO] Epoch:12, Snapshot: 264; Loss: 0.6982
+[2024-06-11 22:04:49,473 INFO] Epoch:12, Snapshot: 265; Loss: 0.6544
+[2024-06-11 22:04:50,343 INFO] Epoch:12, Snapshot: 266; Loss: 0.6649
+[2024-06-11 22:04:51,218 INFO] Epoch:12, Snapshot: 267; Loss: 0.6455
+[2024-06-11 22:04:52,140 INFO] Epoch:12, Snapshot: 268; Loss: 0.6423
+[2024-06-11 22:04:53,048 INFO] Epoch:12, Snapshot: 269; Loss: 0.6182
+[2024-06-11 22:04:53,939 INFO] Epoch:12, Snapshot: 270; Loss: 0.6013
+[2024-06-11 22:04:54,783 INFO] Epoch:12, Snapshot: 271; Loss: 0.5902
+[2024-06-11 22:04:55,612 INFO] Epoch:12, Snapshot: 272; Loss: 0.6053
+[2024-06-11 22:04:56,487 INFO] Epoch:12, Snapshot: 273; Loss: 0.5499
+[2024-06-11 22:04:57,362 INFO] Epoch:12, Snapshot: 274; Loss: 0.5742
+[2024-06-11 22:04:58,221 INFO] Epoch:12, Snapshot: 275; Loss: 0.5792
+[2024-06-11 22:04:59,050 INFO] Epoch:12, Snapshot: 276; Loss: 0.5924
+[2024-06-11 22:04:59,926 INFO] Epoch:12, Snapshot: 277; Loss: 0.5896
+[2024-06-11 22:05:00,801 INFO] Epoch:12, Snapshot: 278; Loss: 0.5443
+[2024-06-11 22:05:01,677 INFO] Epoch:12, Snapshot: 279; Loss: 0.5539
+[2024-06-11 22:05:02,557 INFO] Epoch:12, Snapshot: 280; Loss: 0.5685
+[2024-06-11 22:05:03,427 INFO] Epoch:12, Snapshot: 281; Loss: 0.5740
+[2024-06-11 22:05:04,318 INFO] Epoch:12, Snapshot: 282; Loss: 0.5648
+[2024-06-11 22:05:05,209 INFO] Epoch:12, Snapshot: 283; Loss: 0.5606
+[2024-06-11 22:05:06,084 INFO] Epoch:12, Snapshot: 284; Loss: 0.5699
+[2024-06-11 22:05:06,991 INFO] Epoch:12, Snapshot: 285; Loss: 0.5311
+[2024-06-11 22:05:07,882 INFO] Epoch:12, Snapshot: 286; Loss: 0.5447
+[2024-06-11 22:05:08,757 INFO] Epoch:12, Snapshot: 287; Loss: 0.5827
+[2024-06-11 22:05:09,633 INFO] Epoch:12, Snapshot: 288; Loss: 0.6322
+[2024-06-11 22:05:10,540 INFO] Epoch:12, Snapshot: 289; Loss: 0.6046
+[2024-06-11 22:05:11,398 INFO] Epoch:12, Snapshot: 290; Loss: 0.5554
+[2024-06-11 22:05:12,258 INFO] Epoch:12, Snapshot: 291; Loss: 0.5985
+[2024-06-11 22:05:13,102 INFO] Epoch:12, Snapshot: 292; Loss: 0.6645
+[2024-06-11 22:05:13,961 INFO] Epoch:12, Snapshot: 293; Loss: 0.5769
+[2024-06-11 22:05:14,853 INFO] Epoch:12, Snapshot: 294; Loss: 0.5402
+[2024-06-11 22:05:15,728 INFO] Epoch:12, Snapshot: 295; Loss: 0.6320
+[2024-06-11 22:05:16,572 INFO] Epoch:12, Snapshot: 296; Loss: 0.5509
+[2024-06-11 22:05:17,432 INFO] Epoch:12, Snapshot: 297; Loss: 0.5388
+[2024-06-11 22:05:18,338 INFO] Epoch:12, Snapshot: 298; Loss: 0.5422
+[2024-06-11 22:05:19,261 INFO] Epoch:12, Snapshot: 299; Loss: 0.4960
+[2024-06-11 22:05:20,136 INFO] Epoch:12, Snapshot: 300; Loss: 0.5157
+[2024-06-11 22:05:20,980 INFO] Epoch:12, Snapshot: 301; Loss: 0.5624
+[2024-06-11 22:05:21,840 INFO] Epoch:12, Snapshot: 302; Loss: 0.5429
+[2024-06-11 22:05:22,732 INFO] Epoch:12, Snapshot: 303; Loss: 0.5148
+[2024-06-11 22:05:23,607 INFO] Epoch:12, Snapshot: 304; Loss: 0.5118
+[2024-06-11 22:05:24,497 INFO] Epoch:12, Snapshot: 305; Loss: 0.5499
+[2024-06-11 22:05:25,373 INFO] Epoch:12, Snapshot: 306; Loss: 0.5798
+[2024-06-11 22:05:26,232 INFO] Epoch:12, Snapshot: 307; Loss: 0.5650
+[2024-06-11 22:05:27,138 INFO] Epoch:12, Snapshot: 308; Loss: 0.5337
+[2024-06-11 22:05:28,030 INFO] Epoch:12, Snapshot: 309; Loss: 0.5538
+[2024-06-11 22:05:28,921 INFO] Epoch:12, Snapshot: 310; Loss: 0.5006
+[2024-06-11 22:05:29,765 INFO] Epoch:12, Snapshot: 311; Loss: 0.5539
+[2024-06-11 22:05:30,609 INFO] Epoch:12, Snapshot: 312; Loss: 0.5938
+[2024-06-11 22:05:31,485 INFO] Epoch:12, Snapshot: 313; Loss: 0.5687
+[2024-06-11 22:05:32,314 INFO] Epoch:12, Snapshot: 314; Loss: 0.5147
+[2024-06-11 22:05:33,174 INFO] Epoch:12, Snapshot: 315; Loss: 0.6056
+[2024-06-11 22:05:34,033 INFO] Epoch:12, Snapshot: 316; Loss: 0.5338
+[2024-06-11 22:05:34,883 INFO] Epoch:12, Snapshot: 317; Loss: 0.5693
+[2024-06-11 22:10:19,145 INFO] ==========================================================================================
+[2024-06-11 22:10:19,145 INFO] Epoch:12, Loss: 0.5770, Time: 585.350, GPU: 566.0MiB
+[2024-06-11 22:10:19,145 INFO] Epoch:12, Accuracy: 0.9262; F1: 0.9307; Recall: 0.9371; Precision: 0.9304; ROC AUC: 0.9264, Memory: 565.9653, time: 794.9442
+[2024-06-11 22:10:20,176 INFO] Epoch:13, Snapshot: 0; Loss: 0.7079
+[2024-06-11 22:10:21,271 INFO] Epoch:13, Snapshot: 1; Loss: 0.6985
+[2024-06-11 22:10:22,318 INFO] Epoch:13, Snapshot: 2; Loss: 0.6637
+[2024-06-11 22:10:23,482 INFO] Epoch:13, Snapshot: 3; Loss: 0.7637
+[2024-06-11 22:10:24,570 INFO] Epoch:13, Snapshot: 4; Loss: 0.6277
+[2024-06-11 22:10:25,694 INFO] Epoch:13, Snapshot: 5; Loss: 0.6226
+[2024-06-11 22:10:26,807 INFO] Epoch:13, Snapshot: 6; Loss: 0.6720
+[2024-06-11 22:10:27,898 INFO] Epoch:13, Snapshot: 7; Loss: 0.6302
+[2024-06-11 22:10:28,993 INFO] Epoch:13, Snapshot: 8; Loss: 0.5798
+[2024-06-11 22:10:30,071 INFO] Epoch:13, Snapshot: 9; Loss: 0.5970
+[2024-06-11 22:10:31,150 INFO] Epoch:13, Snapshot: 10; Loss: 0.6056
+[2024-06-11 22:10:32,161 INFO] Epoch:13, Snapshot: 11; Loss: 0.5560
+[2024-06-11 22:10:33,215 INFO] Epoch:13, Snapshot: 12; Loss: 0.5723
+[2024-06-11 22:10:34,342 INFO] Epoch:13, Snapshot: 13; Loss: 0.5300
+[2024-06-11 22:10:35,449 INFO] Epoch:13, Snapshot: 14; Loss: 0.6292
+[2024-06-11 22:10:36,541 INFO] Epoch:13, Snapshot: 15; Loss: 0.5412
+[2024-06-11 22:10:37,668 INFO] Epoch:13, Snapshot: 16; Loss: 0.5469
+[2024-06-11 22:10:38,793 INFO] Epoch:13, Snapshot: 17; Loss: 0.5799
+[2024-06-11 22:10:39,872 INFO] Epoch:13, Snapshot: 18; Loss: 0.5190
+[2024-06-11 22:10:40,872 INFO] Epoch:13, Snapshot: 19; Loss: 0.6183
+[2024-06-11 22:10:41,811 INFO] Epoch:13, Snapshot: 20; Loss: 0.6862
+[2024-06-11 22:10:42,765 INFO] Epoch:13, Snapshot: 21; Loss: 0.5693
+[2024-06-11 22:10:43,735 INFO] Epoch:13, Snapshot: 22; Loss: 0.5608
+[2024-06-11 22:10:44,688 INFO] Epoch:13, Snapshot: 23; Loss: 0.5611
+[2024-06-11 22:10:45,658 INFO] Epoch:13, Snapshot: 24; Loss: 0.5317
+[2024-06-11 22:10:46,659 INFO] Epoch:13, Snapshot: 25; Loss: 0.5876
+[2024-06-11 22:10:47,628 INFO] Epoch:13, Snapshot: 26; Loss: 0.6239
+[2024-06-11 22:10:48,550 INFO] Epoch:13, Snapshot: 27; Loss: 0.5663
+[2024-06-11 22:10:49,456 INFO] Epoch:13, Snapshot: 28; Loss: 0.6171
+[2024-06-11 22:10:50,394 INFO] Epoch:13, Snapshot: 29; Loss: 0.5820
+[2024-06-11 22:10:51,317 INFO] Epoch:13, Snapshot: 30; Loss: 0.6152
+[2024-06-11 22:10:52,286 INFO] Epoch:13, Snapshot: 31; Loss: 0.5674
+[2024-06-11 22:10:53,304 INFO] Epoch:13, Snapshot: 32; Loss: 0.5630
+[2024-06-11 22:10:54,319 INFO] Epoch:13, Snapshot: 33; Loss: 0.6869
+[2024-06-11 22:10:55,319 INFO] Epoch:13, Snapshot: 34; Loss: 0.5775
+[2024-06-11 22:10:56,304 INFO] Epoch:13, Snapshot: 35; Loss: 0.6400
+[2024-06-11 22:10:57,273 INFO] Epoch:13, Snapshot: 36; Loss: 0.5245
+[2024-06-11 22:10:58,273 INFO] Epoch:13, Snapshot: 37; Loss: 0.5482
+[2024-06-11 22:10:59,211 INFO] Epoch:13, Snapshot: 38; Loss: 0.6267
+[2024-06-11 22:11:00,180 INFO] Epoch:13, Snapshot: 39; Loss: 0.5923
+[2024-06-11 22:11:01,165 INFO] Epoch:13, Snapshot: 40; Loss: 0.4809
+[2024-06-11 22:11:02,150 INFO] Epoch:13, Snapshot: 41; Loss: 0.5961
+[2024-06-11 22:11:03,118 INFO] Epoch:13, Snapshot: 42; Loss: 0.5828
+[2024-06-11 22:11:04,073 INFO] Epoch:13, Snapshot: 43; Loss: 0.5972
+[2024-06-11 22:11:05,074 INFO] Epoch:13, Snapshot: 44; Loss: 0.6309
+[2024-06-11 22:11:06,090 INFO] Epoch:13, Snapshot: 45; Loss: 0.6069
+[2024-06-11 22:11:07,106 INFO] Epoch:13, Snapshot: 46; Loss: 0.6263
+[2024-06-11 22:11:08,150 INFO] Epoch:13, Snapshot: 47; Loss: 0.6289
+[2024-06-11 22:11:09,154 INFO] Epoch:13, Snapshot: 48; Loss: 0.6015
+[2024-06-11 22:11:10,154 INFO] Epoch:13, Snapshot: 49; Loss: 0.6029
+[2024-06-11 22:11:11,138 INFO] Epoch:13, Snapshot: 50; Loss: 0.5179
+[2024-06-11 22:11:12,123 INFO] Epoch:13, Snapshot: 51; Loss: 0.5945
+[2024-06-11 22:11:13,108 INFO] Epoch:13, Snapshot: 52; Loss: 0.5456
+[2024-06-11 22:11:14,108 INFO] Epoch:13, Snapshot: 53; Loss: 0.5310
+[2024-06-11 22:11:15,062 INFO] Epoch:13, Snapshot: 54; Loss: 0.5690
+[2024-06-11 22:11:16,109 INFO] Epoch:13, Snapshot: 55; Loss: 0.5246
+[2024-06-11 22:11:17,124 INFO] Epoch:13, Snapshot: 56; Loss: 0.5179
+[2024-06-11 22:11:18,139 INFO] Epoch:13, Snapshot: 57; Loss: 0.6357
+[2024-06-11 22:11:19,141 INFO] Epoch:13, Snapshot: 58; Loss: 0.6785
+[2024-06-11 22:11:20,110 INFO] Epoch:13, Snapshot: 59; Loss: 0.6001
+[2024-06-11 22:11:21,111 INFO] Epoch:13, Snapshot: 60; Loss: 0.5559
+[2024-06-11 22:11:22,065 INFO] Epoch:13, Snapshot: 61; Loss: 0.6393
+[2024-06-11 22:11:23,003 INFO] Epoch:13, Snapshot: 62; Loss: 0.5688
+[2024-06-11 22:11:23,988 INFO] Epoch:13, Snapshot: 63; Loss: 0.6055
+[2024-06-11 22:11:25,004 INFO] Epoch:13, Snapshot: 64; Loss: 0.5520
+[2024-06-11 22:11:25,958 INFO] Epoch:13, Snapshot: 65; Loss: 0.5594
+[2024-06-11 22:11:26,864 INFO] Epoch:13, Snapshot: 66; Loss: 0.6302
+[2024-06-11 22:11:27,849 INFO] Epoch:13, Snapshot: 67; Loss: 0.5890
+[2024-06-11 22:11:28,819 INFO] Epoch:13, Snapshot: 68; Loss: 0.5573
+[2024-06-11 22:11:29,757 INFO] Epoch:13, Snapshot: 69; Loss: 0.6237
+[2024-06-11 22:11:30,710 INFO] Epoch:13, Snapshot: 70; Loss: 0.5591
+[2024-06-11 22:11:31,665 INFO] Epoch:13, Snapshot: 71; Loss: 0.6079
+[2024-06-11 22:11:32,601 INFO] Epoch:13, Snapshot: 72; Loss: 0.4966
+[2024-06-11 22:11:33,556 INFO] Epoch:13, Snapshot: 73; Loss: 0.5777
+[2024-06-11 22:11:34,510 INFO] Epoch:13, Snapshot: 74; Loss: 0.5024
+[2024-06-11 22:11:35,478 INFO] Epoch:13, Snapshot: 75; Loss: 0.5388
+[2024-06-11 22:11:36,462 INFO] Epoch:13, Snapshot: 76; Loss: 0.6716
+[2024-06-11 22:11:37,479 INFO] Epoch:13, Snapshot: 77; Loss: 0.4896
+[2024-06-11 22:11:38,480 INFO] Epoch:13, Snapshot: 78; Loss: 0.5134
+[2024-06-11 22:11:39,464 INFO] Epoch:13, Snapshot: 79; Loss: 0.5963
+[2024-06-11 22:11:40,449 INFO] Epoch:13, Snapshot: 80; Loss: 0.5914
+[2024-06-11 22:11:41,419 INFO] Epoch:13, Snapshot: 81; Loss: 0.5092
+[2024-06-11 22:11:42,388 INFO] Epoch:13, Snapshot: 82; Loss: 0.5713
+[2024-06-11 22:11:43,310 INFO] Epoch:13, Snapshot: 83; Loss: 0.5138
+[2024-06-11 22:11:44,262 INFO] Epoch:13, Snapshot: 84; Loss: 0.5513
+[2024-06-11 22:11:45,200 INFO] Epoch:13, Snapshot: 85; Loss: 0.5130
+[2024-06-11 22:11:46,156 INFO] Epoch:13, Snapshot: 86; Loss: 0.6028
+[2024-06-11 22:11:47,107 INFO] Epoch:13, Snapshot: 87; Loss: 0.5500
+[2024-06-11 22:11:48,076 INFO] Epoch:13, Snapshot: 88; Loss: 0.6405
+[2024-06-11 22:11:49,050 INFO] Epoch:13, Snapshot: 89; Loss: 0.5204
+[2024-06-11 22:11:50,017 INFO] Epoch:13, Snapshot: 90; Loss: 0.6027
+[2024-06-11 22:11:51,001 INFO] Epoch:13, Snapshot: 91; Loss: 0.5197
+[2024-06-11 22:11:51,939 INFO] Epoch:13, Snapshot: 92; Loss: 0.4923
+[2024-06-11 22:11:52,861 INFO] Epoch:13, Snapshot: 93; Loss: 0.5147
+[2024-06-11 22:11:53,799 INFO] Epoch:13, Snapshot: 94; Loss: 0.5729
+[2024-06-11 22:11:54,736 INFO] Epoch:13, Snapshot: 95; Loss: 0.5515
+[2024-06-11 22:11:55,658 INFO] Epoch:13, Snapshot: 96; Loss: 0.5090
+[2024-06-11 22:11:56,579 INFO] Epoch:13, Snapshot: 97; Loss: 0.5671
+[2024-06-11 22:11:57,502 INFO] Epoch:13, Snapshot: 98; Loss: 0.4941
+[2024-06-11 22:11:58,424 INFO] Epoch:13, Snapshot: 99; Loss: 0.6725
+[2024-06-11 22:11:59,393 INFO] Epoch:13, Snapshot: 100; Loss: 0.5753
+[2024-06-11 22:12:00,346 INFO] Epoch:13, Snapshot: 101; Loss: 0.5587
+[2024-06-11 22:12:01,299 INFO] Epoch:13, Snapshot: 102; Loss: 0.6238
+[2024-06-11 22:12:02,221 INFO] Epoch:13, Snapshot: 103; Loss: 0.5867
+[2024-06-11 22:12:03,159 INFO] Epoch:13, Snapshot: 104; Loss: 0.5209
+[2024-06-11 22:12:04,081 INFO] Epoch:13, Snapshot: 105; Loss: 0.5742
+[2024-06-11 22:12:05,019 INFO] Epoch:13, Snapshot: 106; Loss: 0.4390
+[2024-06-11 22:12:05,941 INFO] Epoch:13, Snapshot: 107; Loss: 0.5337
+[2024-06-11 22:12:06,832 INFO] Epoch:13, Snapshot: 108; Loss: 0.5628
+[2024-06-11 22:12:07,800 INFO] Epoch:13, Snapshot: 109; Loss: 0.4802
+[2024-06-11 22:12:08,707 INFO] Epoch:13, Snapshot: 110; Loss: 0.6227
+[2024-06-11 22:12:09,644 INFO] Epoch:13, Snapshot: 111; Loss: 0.5071
+[2024-06-11 22:12:10,566 INFO] Epoch:13, Snapshot: 112; Loss: 0.5663
+[2024-06-11 22:12:11,502 INFO] Epoch:13, Snapshot: 113; Loss: 0.4639
+[2024-06-11 22:12:12,442 INFO] Epoch:13, Snapshot: 114; Loss: 0.5562
+[2024-06-11 22:12:13,411 INFO] Epoch:13, Snapshot: 115; Loss: 0.5418
+[2024-06-11 22:12:14,364 INFO] Epoch:13, Snapshot: 116; Loss: 0.6516
+[2024-06-11 22:12:15,318 INFO] Epoch:13, Snapshot: 117; Loss: 0.6101
+[2024-06-11 22:12:16,255 INFO] Epoch:13, Snapshot: 118; Loss: 0.5084
+[2024-06-11 22:12:17,193 INFO] Epoch:13, Snapshot: 119; Loss: 0.5968
+[2024-06-11 22:12:18,146 INFO] Epoch:13, Snapshot: 120; Loss: 0.5414
+[2024-06-11 22:12:19,116 INFO] Epoch:13, Snapshot: 121; Loss: 0.6848
+[2024-06-11 22:12:20,081 INFO] Epoch:13, Snapshot: 122; Loss: 0.5504
+[2024-06-11 22:12:21,023 INFO] Epoch:13, Snapshot: 123; Loss: 0.5130
+[2024-06-11 22:12:22,055 INFO] Epoch:13, Snapshot: 124; Loss: 0.6028
+[2024-06-11 22:12:23,039 INFO] Epoch:13, Snapshot: 125; Loss: 0.5000
+[2024-06-11 22:12:23,993 INFO] Epoch:13, Snapshot: 126; Loss: 0.5466
+[2024-06-11 22:12:24,915 INFO] Epoch:13, Snapshot: 127; Loss: 0.6378
+[2024-06-11 22:12:25,838 INFO] Epoch:13, Snapshot: 128; Loss: 0.4510
+[2024-06-11 22:12:26,743 INFO] Epoch:13, Snapshot: 129; Loss: 0.6953
+[2024-06-11 22:12:27,697 INFO] Epoch:13, Snapshot: 130; Loss: 0.5242
+[2024-06-11 22:12:28,620 INFO] Epoch:13, Snapshot: 131; Loss: 0.5405
+[2024-06-11 22:12:29,526 INFO] Epoch:13, Snapshot: 132; Loss: 0.5089
+[2024-06-11 22:12:30,480 INFO] Epoch:13, Snapshot: 133; Loss: 0.5713
+[2024-06-11 22:12:31,449 INFO] Epoch:13, Snapshot: 134; Loss: 0.4971
+[2024-06-11 22:12:32,406 INFO] Epoch:13, Snapshot: 135; Loss: 0.5221
+[2024-06-11 22:12:33,356 INFO] Epoch:13, Snapshot: 136; Loss: 0.4611
+[2024-06-11 22:12:34,294 INFO] Epoch:13, Snapshot: 137; Loss: 0.5085
+[2024-06-11 22:12:35,247 INFO] Epoch:13, Snapshot: 138; Loss: 0.5611
+[2024-06-11 22:12:36,185 INFO] Epoch:13, Snapshot: 139; Loss: 0.6879
+[2024-06-11 22:12:37,139 INFO] Epoch:13, Snapshot: 140; Loss: 0.6520
+[2024-06-11 22:12:38,061 INFO] Epoch:13, Snapshot: 141; Loss: 0.5884
+[2024-06-11 22:12:39,062 INFO] Epoch:13, Snapshot: 142; Loss: 0.5736
+[2024-06-11 22:12:40,030 INFO] Epoch:13, Snapshot: 143; Loss: 0.5295
+[2024-06-11 22:12:41,015 INFO] Epoch:13, Snapshot: 144; Loss: 0.6593
+[2024-06-11 22:12:41,954 INFO] Epoch:13, Snapshot: 145; Loss: 0.4605
+[2024-06-11 22:12:42,937 INFO] Epoch:13, Snapshot: 146; Loss: 0.5879
+[2024-06-11 22:12:43,878 INFO] Epoch:13, Snapshot: 147; Loss: 0.5962
+[2024-06-11 22:12:44,796 INFO] Epoch:13, Snapshot: 148; Loss: 0.4813
+[2024-06-11 22:12:45,750 INFO] Epoch:13, Snapshot: 149; Loss: 0.5765
+[2024-06-11 22:12:46,735 INFO] Epoch:13, Snapshot: 150; Loss: 0.5699
+[2024-06-11 22:12:47,658 INFO] Epoch:13, Snapshot: 151; Loss: 0.5454
+[2024-06-11 22:12:48,642 INFO] Epoch:13, Snapshot: 152; Loss: 0.5533
+[2024-06-11 22:12:49,611 INFO] Epoch:13, Snapshot: 153; Loss: 0.5252
+[2024-06-11 22:12:50,596 INFO] Epoch:13, Snapshot: 154; Loss: 0.6216
+[2024-06-11 22:12:51,550 INFO] Epoch:13, Snapshot: 155; Loss: 0.6160
+[2024-06-11 22:12:52,472 INFO] Epoch:13, Snapshot: 156; Loss: 0.5865
+[2024-06-11 22:12:53,394 INFO] Epoch:13, Snapshot: 157; Loss: 0.5916
+[2024-06-11 22:12:54,363 INFO] Epoch:13, Snapshot: 158; Loss: 0.6222
+[2024-06-11 22:12:55,285 INFO] Epoch:13, Snapshot: 159; Loss: 0.5828
+[2024-06-11 22:12:56,254 INFO] Epoch:13, Snapshot: 160; Loss: 0.6265
+[2024-06-11 22:12:57,208 INFO] Epoch:13, Snapshot: 161; Loss: 0.4798
+[2024-06-11 22:12:58,176 INFO] Epoch:13, Snapshot: 162; Loss: 0.6187
+[2024-06-11 22:12:59,114 INFO] Epoch:13, Snapshot: 163; Loss: 0.5771
+[2024-06-11 22:13:00,037 INFO] Epoch:13, Snapshot: 164; Loss: 0.5419
+[2024-06-11 22:13:00,928 INFO] Epoch:13, Snapshot: 165; Loss: 0.5910
+[2024-06-11 22:13:01,912 INFO] Epoch:13, Snapshot: 166; Loss: 0.4796
+[2024-06-11 22:13:02,850 INFO] Epoch:13, Snapshot: 167; Loss: 0.5758
+[2024-06-11 22:13:03,835 INFO] Epoch:13, Snapshot: 168; Loss: 0.5865
+[2024-06-11 22:13:04,756 INFO] Epoch:13, Snapshot: 169; Loss: 0.6013
+[2024-06-11 22:13:05,678 INFO] Epoch:13, Snapshot: 170; Loss: 0.5217
+[2024-06-11 22:13:06,600 INFO] Epoch:13, Snapshot: 171; Loss: 0.5732
+[2024-06-11 22:13:07,523 INFO] Epoch:13, Snapshot: 172; Loss: 0.5611
+[2024-06-11 22:13:08,477 INFO] Epoch:13, Snapshot: 173; Loss: 0.5411
+[2024-06-11 22:13:09,478 INFO] Epoch:13, Snapshot: 174; Loss: 0.5166
+[2024-06-11 22:13:10,416 INFO] Epoch:13, Snapshot: 175; Loss: 0.6429
+[2024-06-11 22:13:11,370 INFO] Epoch:13, Snapshot: 176; Loss: 0.5756
+[2024-06-11 22:13:12,276 INFO] Epoch:13, Snapshot: 177; Loss: 0.5475
+[2024-06-11 22:13:13,198 INFO] Epoch:13, Snapshot: 178; Loss: 0.5435
+[2024-06-11 22:13:14,121 INFO] Epoch:13, Snapshot: 179; Loss: 0.5605
+[2024-06-11 22:13:15,121 INFO] Epoch:13, Snapshot: 180; Loss: 0.5002
+[2024-06-11 22:13:16,075 INFO] Epoch:13, Snapshot: 181; Loss: 0.5737
+[2024-06-11 22:13:17,044 INFO] Epoch:13, Snapshot: 182; Loss: 0.4780
+[2024-06-11 22:13:17,998 INFO] Epoch:13, Snapshot: 183; Loss: 0.5378
+[2024-06-11 22:13:18,935 INFO] Epoch:13, Snapshot: 184; Loss: 0.4885
+[2024-06-11 22:13:19,842 INFO] Epoch:13, Snapshot: 185; Loss: 0.5851
+[2024-06-11 22:13:20,769 INFO] Epoch:13, Snapshot: 186; Loss: 0.4888
+[2024-06-11 22:13:21,671 INFO] Epoch:13, Snapshot: 187; Loss: 0.4764
+[2024-06-11 22:13:22,609 INFO] Epoch:13, Snapshot: 188; Loss: 0.5729
+[2024-06-11 22:13:23,578 INFO] Epoch:13, Snapshot: 189; Loss: 0.5388
+[2024-06-11 22:13:24,532 INFO] Epoch:13, Snapshot: 190; Loss: 0.5136
+[2024-06-11 22:13:25,515 INFO] Epoch:13, Snapshot: 191; Loss: 0.4587
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+[2024-06-11 22:14:48,549 INFO] Epoch:13, Snapshot: 281; Loss: 0.5488
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+[2024-06-11 22:14:52,910 INFO] Epoch:13, Snapshot: 286; Loss: 0.6586
+[2024-06-11 22:14:53,785 INFO] Epoch:13, Snapshot: 287; Loss: 0.5180
+[2024-06-11 22:14:54,660 INFO] Epoch:13, Snapshot: 288; Loss: 0.5665
+[2024-06-11 22:14:55,520 INFO] Epoch:13, Snapshot: 289; Loss: 0.5867
+[2024-06-11 22:14:56,379 INFO] Epoch:13, Snapshot: 290; Loss: 0.6021
+[2024-06-11 22:14:57,270 INFO] Epoch:13, Snapshot: 291; Loss: 0.5842
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+[2024-06-11 22:15:00,818 INFO] Epoch:13, Snapshot: 295; Loss: 0.5653
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+[2024-06-11 22:15:02,585 INFO] Epoch:13, Snapshot: 297; Loss: 0.5160
+[2024-06-11 22:15:03,475 INFO] Epoch:13, Snapshot: 298; Loss: 0.5728
+[2024-06-11 22:15:04,388 INFO] Epoch:13, Snapshot: 299; Loss: 0.5198
+[2024-06-11 22:15:05,289 INFO] Epoch:13, Snapshot: 300; Loss: 0.4926
+[2024-06-11 22:15:06,133 INFO] Epoch:13, Snapshot: 301; Loss: 0.5791
+[2024-06-11 22:15:07,010 INFO] Epoch:13, Snapshot: 302; Loss: 0.5346
+[2024-06-11 22:15:07,869 INFO] Epoch:13, Snapshot: 303; Loss: 0.5918
+[2024-06-11 22:15:08,760 INFO] Epoch:13, Snapshot: 304; Loss: 0.5156
+[2024-06-11 22:15:09,635 INFO] Epoch:13, Snapshot: 305; Loss: 0.6016
+[2024-06-11 22:15:10,526 INFO] Epoch:13, Snapshot: 306; Loss: 0.5071
+[2024-06-11 22:15:11,386 INFO] Epoch:13, Snapshot: 307; Loss: 0.5619
+[2024-06-11 22:15:12,246 INFO] Epoch:13, Snapshot: 308; Loss: 0.5622
+[2024-06-11 22:15:13,107 INFO] Epoch:13, Snapshot: 309; Loss: 0.5803
+[2024-06-11 22:15:13,950 INFO] Epoch:13, Snapshot: 310; Loss: 0.4957
+[2024-06-11 22:15:14,826 INFO] Epoch:13, Snapshot: 311; Loss: 0.5722
+[2024-06-11 22:15:15,717 INFO] Epoch:13, Snapshot: 312; Loss: 0.5119
+[2024-06-11 22:15:16,592 INFO] Epoch:13, Snapshot: 313; Loss: 0.5589
+[2024-06-11 22:15:17,468 INFO] Epoch:13, Snapshot: 314; Loss: 0.5600
+[2024-06-11 22:15:18,342 INFO] Epoch:13, Snapshot: 315; Loss: 0.5782
+[2024-06-11 22:15:19,218 INFO] Epoch:13, Snapshot: 316; Loss: 0.5561
+[2024-06-11 22:15:20,109 INFO] Epoch:13, Snapshot: 317; Loss: 0.5351
+[2024-06-11 22:20:04,757 INFO] ==========================================================================================
+[2024-06-11 22:20:04,757 INFO] Epoch:13, Loss: 0.5727, Time: 585.613, GPU: 566.0MiB
+[2024-06-11 22:20:04,757 INFO] Epoch:13, Accuracy: 0.9216; F1: 0.9273; Recall: 0.9398; Precision: 0.9218; ROC AUC: 0.9216, Memory: 565.9653, time: 796.8046
+[2024-06-11 22:20:05,539 INFO] Epoch:14, Snapshot: 0; Loss: 0.6354
+[2024-06-11 22:20:06,554 INFO] Epoch:14, Snapshot: 1; Loss: 0.7304
+[2024-06-11 22:20:07,695 INFO] Epoch:14, Snapshot: 2; Loss: 0.6976
+[2024-06-11 22:20:08,820 INFO] Epoch:14, Snapshot: 3; Loss: 0.6928
+[2024-06-11 22:20:09,891 INFO] Epoch:14, Snapshot: 4; Loss: 0.6845
+[2024-06-11 22:20:10,962 INFO] Epoch:14, Snapshot: 5; Loss: 0.6310
+[2024-06-11 22:20:12,072 INFO] Epoch:14, Snapshot: 6; Loss: 0.6885
+[2024-06-11 22:20:13,182 INFO] Epoch:14, Snapshot: 7; Loss: 0.5902
+[2024-06-11 22:20:14,291 INFO] Epoch:14, Snapshot: 8; Loss: 0.6128
+[2024-06-11 22:20:15,338 INFO] Epoch:14, Snapshot: 9; Loss: 0.5579
+[2024-06-11 22:20:16,417 INFO] Epoch:14, Snapshot: 10; Loss: 0.6180
+[2024-06-11 22:20:17,465 INFO] Epoch:14, Snapshot: 11; Loss: 0.6130
+[2024-06-11 22:20:18,606 INFO] Epoch:14, Snapshot: 12; Loss: 0.5779
+[2024-06-11 22:20:19,739 INFO] Epoch:14, Snapshot: 13; Loss: 0.5916
+[2024-06-11 22:20:20,795 INFO] Epoch:14, Snapshot: 14; Loss: 0.5810
+[2024-06-11 22:20:21,858 INFO] Epoch:14, Snapshot: 15; Loss: 0.6063
+[2024-06-11 22:20:22,951 INFO] Epoch:14, Snapshot: 16; Loss: 0.5015
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+[2024-06-11 22:20:25,285 INFO] Epoch:14, Snapshot: 18; Loss: 0.5296
+[2024-06-11 22:20:26,378 INFO] Epoch:14, Snapshot: 19; Loss: 0.6206
+[2024-06-11 22:20:27,308 INFO] Epoch:14, Snapshot: 20; Loss: 0.5509
+[2024-06-11 22:20:28,277 INFO] Epoch:14, Snapshot: 21; Loss: 0.6336
+[2024-06-11 22:20:29,211 INFO] Epoch:14, Snapshot: 22; Loss: 0.5677
+[2024-06-11 22:20:30,147 INFO] Epoch:14, Snapshot: 23; Loss: 0.6508
+[2024-06-11 22:20:31,037 INFO] Epoch:14, Snapshot: 24; Loss: 0.5031
+[2024-06-11 22:20:31,920 INFO] Epoch:14, Snapshot: 25; Loss: 0.6390
+[2024-06-11 22:20:32,893 INFO] Epoch:14, Snapshot: 26; Loss: 0.6101
+[2024-06-11 22:20:33,891 INFO] Epoch:14, Snapshot: 27; Loss: 0.6587
+[2024-06-11 22:20:34,817 INFO] Epoch:14, Snapshot: 28; Loss: 0.5248
+[2024-06-11 22:20:35,775 INFO] Epoch:14, Snapshot: 29; Loss: 0.5683
+[2024-06-11 22:20:36,700 INFO] Epoch:14, Snapshot: 30; Loss: 0.6694
+[2024-06-11 22:20:37,707 INFO] Epoch:14, Snapshot: 31; Loss: 0.5609
+[2024-06-11 22:20:38,692 INFO] Epoch:14, Snapshot: 32; Loss: 0.6014
+[2024-06-11 22:20:39,680 INFO] Epoch:14, Snapshot: 33; Loss: 0.7243
+[2024-06-11 22:20:40,682 INFO] Epoch:14, Snapshot: 34; Loss: 0.6034
+[2024-06-11 22:20:41,651 INFO] Epoch:14, Snapshot: 35; Loss: 0.5643
+[2024-06-11 22:20:42,620 INFO] Epoch:14, Snapshot: 36; Loss: 0.5523
+[2024-06-11 22:20:43,620 INFO] Epoch:14, Snapshot: 37; Loss: 0.5875
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+[2024-06-11 22:20:46,732 INFO] Epoch:14, Snapshot: 40; Loss: 0.5402
+[2024-06-11 22:20:47,748 INFO] Epoch:14, Snapshot: 41; Loss: 0.6488
+[2024-06-11 22:20:48,718 INFO] Epoch:14, Snapshot: 42; Loss: 0.5459
+[2024-06-11 22:20:49,718 INFO] Epoch:14, Snapshot: 43; Loss: 0.5337
+[2024-06-11 22:20:50,687 INFO] Epoch:14, Snapshot: 44; Loss: 0.6605
+[2024-06-11 22:20:51,672 INFO] Epoch:14, Snapshot: 45; Loss: 0.6432
+[2024-06-11 22:20:52,610 INFO] Epoch:14, Snapshot: 46; Loss: 0.6062
+[2024-06-11 22:20:53,610 INFO] Epoch:14, Snapshot: 47; Loss: 0.5884
+[2024-06-11 22:20:54,595 INFO] Epoch:14, Snapshot: 48; Loss: 0.5854
+[2024-06-11 22:20:55,611 INFO] Epoch:14, Snapshot: 49; Loss: 0.6276
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+[2024-06-11 22:20:57,595 INFO] Epoch:14, Snapshot: 51; Loss: 0.6004
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+[2024-06-11 22:20:59,689 INFO] Epoch:14, Snapshot: 53; Loss: 0.5326
+[2024-06-11 22:21:00,690 INFO] Epoch:14, Snapshot: 54; Loss: 0.6249
+[2024-06-11 22:21:01,721 INFO] Epoch:14, Snapshot: 55; Loss: 0.5936
+[2024-06-11 22:21:02,753 INFO] Epoch:14, Snapshot: 56; Loss: 0.6119
+[2024-06-11 22:21:03,815 INFO] Epoch:14, Snapshot: 57; Loss: 0.5121
+[2024-06-11 22:21:04,800 INFO] Epoch:14, Snapshot: 58; Loss: 0.6230
+[2024-06-11 22:21:05,815 INFO] Epoch:14, Snapshot: 59; Loss: 0.5332
+[2024-06-11 22:21:06,785 INFO] Epoch:14, Snapshot: 60; Loss: 0.5912
+[2024-06-11 22:21:07,785 INFO] Epoch:14, Snapshot: 61; Loss: 0.5983
+[2024-06-11 22:21:08,753 INFO] Epoch:14, Snapshot: 62; Loss: 0.6064
+[2024-06-11 22:21:09,755 INFO] Epoch:14, Snapshot: 63; Loss: 0.5600
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+[2024-06-11 22:21:11,660 INFO] Epoch:14, Snapshot: 65; Loss: 0.5683
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+[2024-06-11 22:21:43,873 INFO] Epoch:14, Snapshot: 98; Loss: 0.5063
+[2024-06-11 22:21:44,811 INFO] Epoch:14, Snapshot: 99; Loss: 0.5553
+[2024-06-11 22:21:45,781 INFO] Epoch:14, Snapshot: 100; Loss: 0.6066
+[2024-06-11 22:21:46,734 INFO] Epoch:14, Snapshot: 101; Loss: 0.6416
+[2024-06-11 22:21:47,656 INFO] Epoch:14, Snapshot: 102; Loss: 0.6389
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+[2024-06-11 22:21:49,563 INFO] Epoch:14, Snapshot: 104; Loss: 0.5618
+[2024-06-11 22:21:50,548 INFO] Epoch:14, Snapshot: 105; Loss: 0.5202
+[2024-06-11 22:21:51,533 INFO] Epoch:14, Snapshot: 106; Loss: 0.4777
+[2024-06-11 22:21:52,503 INFO] Epoch:14, Snapshot: 107; Loss: 0.4733
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+[2024-06-11 22:21:55,409 INFO] Epoch:14, Snapshot: 110; Loss: 0.4921
+[2024-06-11 22:21:56,397 INFO] Epoch:14, Snapshot: 111; Loss: 0.5416
+[2024-06-11 22:21:57,394 INFO] Epoch:14, Snapshot: 112; Loss: 0.5235
+[2024-06-11 22:21:58,347 INFO] Epoch:14, Snapshot: 113; Loss: 0.6013
+[2024-06-11 22:21:59,301 INFO] Epoch:14, Snapshot: 114; Loss: 0.5041
+[2024-06-11 22:22:00,255 INFO] Epoch:14, Snapshot: 115; Loss: 0.5302
+[2024-06-11 22:22:01,255 INFO] Epoch:14, Snapshot: 116; Loss: 0.6317
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+[2024-06-11 22:22:03,176 INFO] Epoch:14, Snapshot: 118; Loss: 0.5353
+[2024-06-11 22:22:04,161 INFO] Epoch:14, Snapshot: 119; Loss: 0.5170
+[2024-06-11 22:22:05,146 INFO] Epoch:14, Snapshot: 120; Loss: 0.6489
+[2024-06-11 22:22:06,085 INFO] Epoch:14, Snapshot: 121; Loss: 0.6073
+[2024-06-11 22:22:07,017 INFO] Epoch:14, Snapshot: 122; Loss: 0.5218
+[2024-06-11 22:22:07,929 INFO] Epoch:14, Snapshot: 123; Loss: 0.5586
+[2024-06-11 22:22:08,866 INFO] Epoch:14, Snapshot: 124; Loss: 0.5728
+[2024-06-11 22:22:09,835 INFO] Epoch:14, Snapshot: 125; Loss: 0.6367
+[2024-06-11 22:22:10,815 INFO] Epoch:14, Snapshot: 126; Loss: 0.4740
+[2024-06-11 22:22:11,787 INFO] Epoch:14, Snapshot: 127; Loss: 0.5579
+[2024-06-11 22:22:12,710 INFO] Epoch:14, Snapshot: 128; Loss: 0.4425
+[2024-06-11 22:22:13,617 INFO] Epoch:14, Snapshot: 129; Loss: 0.5709
+[2024-06-11 22:22:14,540 INFO] Epoch:14, Snapshot: 130; Loss: 0.6084
+[2024-06-11 22:22:15,478 INFO] Epoch:14, Snapshot: 131; Loss: 0.5147
+[2024-06-11 22:22:16,447 INFO] Epoch:14, Snapshot: 132; Loss: 0.5794
+[2024-06-11 22:22:17,415 INFO] Epoch:14, Snapshot: 133; Loss: 0.5129
+[2024-06-11 22:22:18,369 INFO] Epoch:14, Snapshot: 134; Loss: 0.5283
+[2024-06-11 22:22:19,276 INFO] Epoch:14, Snapshot: 135; Loss: 0.6052
+[2024-06-11 22:22:20,230 INFO] Epoch:14, Snapshot: 136; Loss: 0.6331
+[2024-06-11 22:22:21,167 INFO] Epoch:14, Snapshot: 137; Loss: 0.4231
+[2024-06-11 22:22:22,106 INFO] Epoch:14, Snapshot: 138; Loss: 0.5677
+[2024-06-11 22:22:22,997 INFO] Epoch:14, Snapshot: 139; Loss: 0.7141
+[2024-06-11 22:22:23,935 INFO] Epoch:14, Snapshot: 140; Loss: 0.6110
+[2024-06-11 22:22:24,888 INFO] Epoch:14, Snapshot: 141; Loss: 0.5824
+[2024-06-11 22:22:25,858 INFO] Epoch:14, Snapshot: 142; Loss: 0.5383
+[2024-06-11 22:22:26,841 INFO] Epoch:14, Snapshot: 143; Loss: 0.5646
+[2024-06-11 22:22:27,763 INFO] Epoch:14, Snapshot: 144; Loss: 0.5819
+[2024-06-11 22:22:28,732 INFO] Epoch:14, Snapshot: 145; Loss: 0.5236
+[2024-06-11 22:22:29,686 INFO] Epoch:14, Snapshot: 146; Loss: 0.5855
+[2024-06-11 22:22:30,609 INFO] Epoch:14, Snapshot: 147; Loss: 0.5353
+[2024-06-11 22:22:31,563 INFO] Epoch:14, Snapshot: 148; Loss: 0.4873
+[2024-06-11 22:22:32,486 INFO] Epoch:14, Snapshot: 149; Loss: 0.5587
+[2024-06-11 22:22:33,407 INFO] Epoch:14, Snapshot: 150; Loss: 0.5650
+[2024-06-11 22:22:34,330 INFO] Epoch:14, Snapshot: 151; Loss: 0.5175
+[2024-06-11 22:22:35,314 INFO] Epoch:14, Snapshot: 152; Loss: 0.5243
+[2024-06-11 22:22:36,284 INFO] Epoch:14, Snapshot: 153; Loss: 0.5468
+[2024-06-11 22:22:37,237 INFO] Epoch:14, Snapshot: 154; Loss: 0.6117
+[2024-06-11 22:22:38,222 INFO] Epoch:14, Snapshot: 155; Loss: 0.5472
+[2024-06-11 22:22:39,206 INFO] Epoch:14, Snapshot: 156; Loss: 0.5949
+[2024-06-11 22:22:40,305 INFO] Epoch:14, Snapshot: 157; Loss: 0.6500
+[2024-06-11 22:22:41,354 INFO] Epoch:14, Snapshot: 158; Loss: 0.4949
+[2024-06-11 22:22:42,305 INFO] Epoch:14, Snapshot: 159; Loss: 0.5474
+[2024-06-11 22:22:43,290 INFO] Epoch:14, Snapshot: 160; Loss: 0.5313
+[2024-06-11 22:22:44,323 INFO] Epoch:14, Snapshot: 161; Loss: 0.6074
+[2024-06-11 22:22:45,511 INFO] Epoch:14, Snapshot: 162; Loss: 0.5723
+[2024-06-11 22:22:46,870 INFO] Epoch:14, Snapshot: 163; Loss: 0.6373
+[2024-06-11 22:22:48,325 INFO] Epoch:14, Snapshot: 164; Loss: 0.5511
+[2024-06-11 22:22:50,170 INFO] Epoch:14, Snapshot: 165; Loss: 0.5051
+[2024-06-11 22:22:52,140 INFO] Epoch:14, Snapshot: 166; Loss: 0.5313
+[2024-06-11 22:22:54,038 INFO] Epoch:14, Snapshot: 167; Loss: 0.6551
+[2024-06-11 22:22:56,260 INFO] Epoch:14, Snapshot: 168; Loss: 0.6119
+[2024-06-11 22:22:58,266 INFO] Epoch:14, Snapshot: 169; Loss: 0.5274
+[2024-06-11 22:23:00,008 INFO] Epoch:14, Snapshot: 170; Loss: 0.5670
+[2024-06-11 22:23:01,419 INFO] Epoch:14, Snapshot: 171; Loss: 0.5538
+[2024-06-11 22:23:03,256 INFO] Epoch:14, Snapshot: 172; Loss: 0.5889
+[2024-06-11 22:23:04,856 INFO] Epoch:14, Snapshot: 173; Loss: 0.4929
+[2024-06-11 22:23:06,405 INFO] Epoch:14, Snapshot: 174; Loss: 0.5122
+[2024-06-11 22:23:07,967 INFO] Epoch:14, Snapshot: 175; Loss: 0.6556
+[2024-06-11 22:23:09,436 INFO] Epoch:14, Snapshot: 176; Loss: 0.5217
+[2024-06-11 22:23:11,562 INFO] Epoch:14, Snapshot: 177; Loss: 0.5357
+[2024-06-11 22:23:13,611 INFO] Epoch:14, Snapshot: 178; Loss: 0.5522
+[2024-06-11 22:23:15,598 INFO] Epoch:14, Snapshot: 179; Loss: 0.5683
+[2024-06-11 22:23:17,113 INFO] Epoch:14, Snapshot: 180; Loss: 0.4833
+[2024-06-11 22:23:18,896 INFO] Epoch:14, Snapshot: 181; Loss: 0.5125
+[2024-06-11 22:23:20,533 INFO] Epoch:14, Snapshot: 182; Loss: 0.5356
+[2024-06-11 22:23:21,976 INFO] Epoch:14, Snapshot: 183; Loss: 0.5049
+[2024-06-11 22:23:23,364 INFO] Epoch:14, Snapshot: 184; Loss: 0.5219
+[2024-06-11 22:23:24,854 INFO] Epoch:14, Snapshot: 185; Loss: 0.5563
+[2024-06-11 22:23:26,324 INFO] Epoch:14, Snapshot: 186; Loss: 0.5821
+[2024-06-11 22:23:27,565 INFO] Epoch:14, Snapshot: 187; Loss: 0.4844
+[2024-06-11 22:23:28,925 INFO] Epoch:14, Snapshot: 188; Loss: 0.5008
+[2024-06-11 22:23:30,509 INFO] Epoch:14, Snapshot: 189; Loss: 0.5271
+[2024-06-11 22:23:32,388 INFO] Epoch:14, Snapshot: 190; Loss: 0.6131
+[2024-06-11 22:23:33,769 INFO] Epoch:14, Snapshot: 191; Loss: 0.5179
+[2024-06-11 22:23:35,848 INFO] Epoch:14, Snapshot: 192; Loss: 0.4685
+[2024-06-11 22:23:37,724 INFO] Epoch:14, Snapshot: 193; Loss: 0.5424
+[2024-06-11 22:23:39,336 INFO] Epoch:14, Snapshot: 194; Loss: 0.5248
+[2024-06-11 22:23:41,213 INFO] Epoch:14, Snapshot: 195; Loss: 0.5798
+[2024-06-11 22:23:42,593 INFO] Epoch:14, Snapshot: 196; Loss: 0.5035
+[2024-06-11 22:23:44,167 INFO] Epoch:14, Snapshot: 197; Loss: 0.5547
+[2024-06-11 22:23:45,573 INFO] Epoch:14, Snapshot: 198; Loss: 0.6744
+[2024-06-11 22:23:47,265 INFO] Epoch:14, Snapshot: 199; Loss: 0.4742
+[2024-06-11 22:23:48,844 INFO] Epoch:14, Snapshot: 200; Loss: 0.5416
+[2024-06-11 22:23:50,365 INFO] Epoch:14, Snapshot: 201; Loss: 0.5880
+[2024-06-11 22:23:51,736 INFO] Epoch:14, Snapshot: 202; Loss: 0.5594
+[2024-06-11 22:23:53,361 INFO] Epoch:14, Snapshot: 203; Loss: 0.4542
+[2024-06-11 22:23:54,381 INFO] Epoch:14, Snapshot: 204; Loss: 0.5726
+[2024-06-11 22:23:55,362 INFO] Epoch:14, Snapshot: 205; Loss: 0.5155
+[2024-06-11 22:23:56,337 INFO] Epoch:14, Snapshot: 206; Loss: 0.5499
+[2024-06-11 22:23:57,286 INFO] Epoch:14, Snapshot: 207; Loss: 0.4892
+[2024-06-11 22:23:58,227 INFO] Epoch:14, Snapshot: 208; Loss: 0.4967
+[2024-06-11 22:23:59,145 INFO] Epoch:14, Snapshot: 209; Loss: 0.5617
+[2024-06-11 22:24:00,073 INFO] Epoch:14, Snapshot: 210; Loss: 0.6130
+[2024-06-11 22:24:01,008 INFO] Epoch:14, Snapshot: 211; Loss: 0.6001
+[2024-06-11 22:24:01,930 INFO] Epoch:14, Snapshot: 212; Loss: 0.5168
+[2024-06-11 22:24:02,867 INFO] Epoch:14, Snapshot: 213; Loss: 0.5339
+[2024-06-11 22:24:03,805 INFO] Epoch:14, Snapshot: 214; Loss: 0.5450
+[2024-06-11 22:24:04,764 INFO] Epoch:14, Snapshot: 215; Loss: 0.6702
+[2024-06-11 22:24:05,712 INFO] Epoch:14, Snapshot: 216; Loss: 0.6099
+[2024-06-11 22:24:06,670 INFO] Epoch:14, Snapshot: 217; Loss: 0.5291
+[2024-06-11 22:24:07,621 INFO] Epoch:14, Snapshot: 218; Loss: 0.5107
+[2024-06-11 22:24:08,610 INFO] Epoch:14, Snapshot: 219; Loss: 0.5225
+[2024-06-11 22:24:09,559 INFO] Epoch:14, Snapshot: 220; Loss: 0.5737
+[2024-06-11 22:24:10,564 INFO] Epoch:14, Snapshot: 221; Loss: 0.5514
+[2024-06-11 22:24:11,529 INFO] Epoch:14, Snapshot: 222; Loss: 0.5546
+[2024-06-11 22:24:12,473 INFO] Epoch:14, Snapshot: 223; Loss: 0.5695
+[2024-06-11 22:24:13,422 INFO] Epoch:14, Snapshot: 224; Loss: 0.4932
+[2024-06-11 22:24:14,396 INFO] Epoch:14, Snapshot: 225; Loss: 0.5257
+[2024-06-11 22:24:15,346 INFO] Epoch:14, Snapshot: 226; Loss: 0.5801
+[2024-06-11 22:24:16,314 INFO] Epoch:14, Snapshot: 227; Loss: 0.5506
+[2024-06-11 22:24:17,268 INFO] Epoch:14, Snapshot: 228; Loss: 0.4694
+[2024-06-11 22:24:18,207 INFO] Epoch:14, Snapshot: 229; Loss: 0.5426
+[2024-06-11 22:24:19,159 INFO] Epoch:14, Snapshot: 230; Loss: 0.5974
+[2024-06-11 22:24:20,144 INFO] Epoch:14, Snapshot: 231; Loss: 0.4981
+[2024-06-11 22:24:21,083 INFO] Epoch:14, Snapshot: 232; Loss: 0.4998
+[2024-06-11 22:24:22,007 INFO] Epoch:14, Snapshot: 233; Loss: 0.5259
+[2024-06-11 22:24:22,913 INFO] Epoch:14, Snapshot: 234; Loss: 0.5755
+[2024-06-11 22:24:23,818 INFO] Epoch:14, Snapshot: 235; Loss: 0.4878
+[2024-06-11 22:24:24,774 INFO] Epoch:14, Snapshot: 236; Loss: 0.4926
+[2024-06-11 22:24:25,758 INFO] Epoch:14, Snapshot: 237; Loss: 0.4948
+[2024-06-11 22:24:26,711 INFO] Epoch:14, Snapshot: 238; Loss: 0.5043
+[2024-06-11 22:24:27,647 INFO] Epoch:14, Snapshot: 239; Loss: 0.5865
+[2024-06-11 22:24:28,571 INFO] Epoch:14, Snapshot: 240; Loss: 0.4934
+[2024-06-11 22:24:29,508 INFO] Epoch:14, Snapshot: 241; Loss: 0.5082
+[2024-06-11 22:24:30,477 INFO] Epoch:14, Snapshot: 242; Loss: 0.5970
+[2024-06-11 22:24:31,461 INFO] Epoch:14, Snapshot: 243; Loss: 0.4758
+[2024-06-11 22:24:32,400 INFO] Epoch:14, Snapshot: 244; Loss: 0.4994
+[2024-06-11 22:24:33,353 INFO] Epoch:14, Snapshot: 245; Loss: 0.5366
+[2024-06-11 22:24:34,336 INFO] Epoch:14, Snapshot: 246; Loss: 0.5750
+[2024-06-11 22:24:35,321 INFO] Epoch:14, Snapshot: 247; Loss: 0.5817
+[2024-06-11 22:24:36,260 INFO] Epoch:14, Snapshot: 248; Loss: 0.5445
+[2024-06-11 22:24:37,214 INFO] Epoch:14, Snapshot: 249; Loss: 0.5369
+[2024-06-11 22:24:38,167 INFO] Epoch:14, Snapshot: 250; Loss: 0.6002
+[2024-06-11 22:24:39,105 INFO] Epoch:14, Snapshot: 251; Loss: 0.5476
+[2024-06-11 22:24:39,966 INFO] Epoch:14, Snapshot: 252; Loss: 0.7713
+[2024-06-11 22:24:40,810 INFO] Epoch:14, Snapshot: 253; Loss: 0.7210
+[2024-06-11 22:24:41,660 INFO] Epoch:14, Snapshot: 254; Loss: 0.6363
+[2024-06-11 22:24:42,530 INFO] Epoch:14, Snapshot: 255; Loss: 0.6247
+[2024-06-11 22:24:43,468 INFO] Epoch:14, Snapshot: 256; Loss: 0.7681
+[2024-06-11 22:24:44,421 INFO] Epoch:14, Snapshot: 257; Loss: 0.6601
+[2024-06-11 22:24:45,358 INFO] Epoch:14, Snapshot: 258; Loss: 0.6541
+[2024-06-11 22:24:46,252 INFO] Epoch:14, Snapshot: 259; Loss: 0.7424
+[2024-06-11 22:24:47,127 INFO] Epoch:14, Snapshot: 260; Loss: 0.8004
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+[2024-06-11 22:24:48,877 INFO] Epoch:14, Snapshot: 262; Loss: 0.7451
+[2024-06-11 22:24:49,738 INFO] Epoch:14, Snapshot: 263; Loss: 0.7280
+[2024-06-11 22:24:50,597 INFO] Epoch:14, Snapshot: 264; Loss: 0.7474
+[2024-06-11 22:24:51,472 INFO] Epoch:14, Snapshot: 265; Loss: 0.6732
+[2024-06-11 22:24:52,347 INFO] Epoch:14, Snapshot: 266; Loss: 0.6403
+[2024-06-11 22:24:53,191 INFO] Epoch:14, Snapshot: 267; Loss: 0.6540
+[2024-06-11 22:24:54,083 INFO] Epoch:14, Snapshot: 268; Loss: 0.6317
+[2024-06-11 22:24:54,991 INFO] Epoch:14, Snapshot: 269; Loss: 0.5997
+[2024-06-11 22:24:55,883 INFO] Epoch:14, Snapshot: 270; Loss: 0.5916
+[2024-06-11 22:24:56,773 INFO] Epoch:14, Snapshot: 271; Loss: 0.6436
+[2024-06-11 22:24:57,648 INFO] Epoch:14, Snapshot: 272; Loss: 0.5801
+[2024-06-11 22:24:58,508 INFO] Epoch:14, Snapshot: 273; Loss: 0.6090
+[2024-06-11 22:24:59,352 INFO] Epoch:14, Snapshot: 274; Loss: 0.5476
+[2024-06-11 22:25:00,212 INFO] Epoch:14, Snapshot: 275; Loss: 0.5700
+[2024-06-11 22:25:01,074 INFO] Epoch:14, Snapshot: 276; Loss: 0.5868
+[2024-06-11 22:25:01,918 INFO] Epoch:14, Snapshot: 277; Loss: 0.6007
+[2024-06-11 22:25:02,790 INFO] Epoch:14, Snapshot: 278; Loss: 0.5602
+[2024-06-11 22:25:03,667 INFO] Epoch:14, Snapshot: 279; Loss: 0.6211
+[2024-06-11 22:25:04,542 INFO] Epoch:14, Snapshot: 280; Loss: 0.5665
+[2024-06-11 22:25:05,434 INFO] Epoch:14, Snapshot: 281; Loss: 0.5381
+[2024-06-11 22:25:06,309 INFO] Epoch:14, Snapshot: 282; Loss: 0.5482
+[2024-06-11 22:25:07,186 INFO] Epoch:14, Snapshot: 283; Loss: 0.5327
+[2024-06-11 22:25:08,046 INFO] Epoch:14, Snapshot: 284; Loss: 0.5772
+[2024-06-11 22:25:08,889 INFO] Epoch:14, Snapshot: 285; Loss: 0.5589
+[2024-06-11 22:25:09,731 INFO] Epoch:14, Snapshot: 286; Loss: 0.5309
+[2024-06-11 22:25:10,625 INFO] Epoch:14, Snapshot: 287; Loss: 0.6249
+[2024-06-11 22:25:11,498 INFO] Epoch:14, Snapshot: 288; Loss: 0.5191
+[2024-06-11 22:25:12,373 INFO] Epoch:14, Snapshot: 289; Loss: 0.5950
+[2024-06-11 22:25:13,250 INFO] Epoch:14, Snapshot: 290; Loss: 0.5673
+[2024-06-11 22:25:14,127 INFO] Epoch:14, Snapshot: 291; Loss: 0.5753
+[2024-06-11 22:25:14,985 INFO] Epoch:14, Snapshot: 292; Loss: 0.5705
+[2024-06-11 22:25:15,861 INFO] Epoch:14, Snapshot: 293; Loss: 0.5681
+[2024-06-11 22:25:16,706 INFO] Epoch:14, Snapshot: 294; Loss: 0.5550
+[2024-06-11 22:25:17,580 INFO] Epoch:14, Snapshot: 295; Loss: 0.5555
+[2024-06-11 22:25:18,486 INFO] Epoch:14, Snapshot: 296; Loss: 0.5388
+[2024-06-11 22:25:19,363 INFO] Epoch:14, Snapshot: 297; Loss: 0.5665
+[2024-06-11 22:25:20,236 INFO] Epoch:14, Snapshot: 298; Loss: 0.4998
+[2024-06-11 22:25:21,114 INFO] Epoch:14, Snapshot: 299; Loss: 0.5573
+[2024-06-11 22:25:21,988 INFO] Epoch:14, Snapshot: 300; Loss: 0.4958
+[2024-06-11 22:25:22,832 INFO] Epoch:14, Snapshot: 301; Loss: 0.5613
+[2024-06-11 22:25:23,678 INFO] Epoch:14, Snapshot: 302; Loss: 0.5894
+[2024-06-11 22:25:24,537 INFO] Epoch:14, Snapshot: 303; Loss: 0.4848
+[2024-06-11 22:25:25,413 INFO] Epoch:14, Snapshot: 304; Loss: 0.5338
+[2024-06-11 22:25:26,303 INFO] Epoch:14, Snapshot: 305; Loss: 0.5535
+[2024-06-11 22:25:27,165 INFO] Epoch:14, Snapshot: 306; Loss: 0.5137
+[2024-06-11 22:25:28,040 INFO] Epoch:14, Snapshot: 307; Loss: 0.5925
+[2024-06-11 22:25:28,914 INFO] Epoch:14, Snapshot: 308; Loss: 0.5728
+[2024-06-11 22:25:29,773 INFO] Epoch:14, Snapshot: 309; Loss: 0.5529
+[2024-06-11 22:25:30,620 INFO] Epoch:14, Snapshot: 310; Loss: 0.5161
+[2024-06-11 22:25:31,480 INFO] Epoch:14, Snapshot: 311; Loss: 0.5097
+[2024-06-11 22:25:32,354 INFO] Epoch:14, Snapshot: 312; Loss: 0.5816
+[2024-06-11 22:25:33,278 INFO] Epoch:14, Snapshot: 313; Loss: 0.5362
+[2024-06-11 22:25:34,137 INFO] Epoch:14, Snapshot: 314; Loss: 0.5486
+[2024-06-11 22:25:35,012 INFO] Epoch:14, Snapshot: 315; Loss: 0.5727
+[2024-06-11 22:25:35,858 INFO] Epoch:14, Snapshot: 316; Loss: 0.5649
+[2024-06-11 22:25:36,717 INFO] Epoch:14, Snapshot: 317; Loss: 0.5676
+[2024-06-11 22:30:23,401 INFO] ==========================================================================================
+[2024-06-11 22:30:23,401 INFO] Epoch:14, Loss: 0.5715, Time: 618.644, GPU: 566.0MiB
+[2024-06-11 22:30:23,401 INFO] Epoch:14, Accuracy: 0.9252; F1: 0.9301; Recall: 0.9375; Precision: 0.9290; ROC AUC: 0.9252, Memory: 565.9653, time: 803.9786
+[2024-06-11 22:30:24,465 INFO] Epoch:15, Snapshot: 0; Loss: 0.6864
+[2024-06-11 22:30:25,605 INFO] Epoch:15, Snapshot: 1; Loss: 0.6955
+[2024-06-11 22:30:26,732 INFO] Epoch:15, Snapshot: 2; Loss: 0.7129
+[2024-06-11 22:30:27,888 INFO] Epoch:15, Snapshot: 3; Loss: 0.7353
+[2024-06-11 22:30:28,965 INFO] Epoch:15, Snapshot: 4; Loss: 0.6720
+[2024-06-11 22:30:30,106 INFO] Epoch:15, Snapshot: 5; Loss: 0.6751
+[2024-06-11 22:30:31,186 INFO] Epoch:15, Snapshot: 6; Loss: 0.6517
+[2024-06-11 22:30:32,249 INFO] Epoch:15, Snapshot: 7; Loss: 0.5854
+[2024-06-11 22:30:33,333 INFO] Epoch:15, Snapshot: 8; Loss: 0.5861
+[2024-06-11 22:30:34,421 INFO] Epoch:15, Snapshot: 9; Loss: 0.6068
+[2024-06-11 22:30:35,563 INFO] Epoch:15, Snapshot: 10; Loss: 0.5775
+[2024-06-11 22:30:36,593 INFO] Epoch:15, Snapshot: 11; Loss: 0.5922
+[2024-06-11 22:30:37,671 INFO] Epoch:15, Snapshot: 12; Loss: 0.5680
+[2024-06-11 22:30:38,751 INFO] Epoch:15, Snapshot: 13; Loss: 0.5286
+[2024-06-11 22:30:39,861 INFO] Epoch:15, Snapshot: 14; Loss: 0.6039
+[2024-06-11 22:30:40,924 INFO] Epoch:15, Snapshot: 15; Loss: 0.5879
+[2024-06-11 22:30:42,018 INFO] Epoch:15, Snapshot: 16; Loss: 0.5966
+[2024-06-11 22:30:43,160 INFO] Epoch:15, Snapshot: 17; Loss: 0.4917
+[2024-06-11 22:30:44,254 INFO] Epoch:15, Snapshot: 18; Loss: 0.5250
+[2024-06-11 22:30:45,225 INFO] Epoch:15, Snapshot: 19; Loss: 0.6564
+[2024-06-11 22:30:46,203 INFO] Epoch:15, Snapshot: 20; Loss: 0.5902
+[2024-06-11 22:30:47,178 INFO] Epoch:15, Snapshot: 21; Loss: 0.5532
+[2024-06-11 22:30:48,101 INFO] Epoch:15, Snapshot: 22; Loss: 0.5899
+[2024-06-11 22:30:49,008 INFO] Epoch:15, Snapshot: 23; Loss: 0.5679
+[2024-06-11 22:30:49,946 INFO] Epoch:15, Snapshot: 24; Loss: 0.5370
+[2024-06-11 22:30:50,898 INFO] Epoch:15, Snapshot: 25; Loss: 0.5347
+[2024-06-11 22:30:51,836 INFO] Epoch:15, Snapshot: 26; Loss: 0.6081
+[2024-06-11 22:30:52,808 INFO] Epoch:15, Snapshot: 27; Loss: 0.5686
+[2024-06-11 22:30:53,809 INFO] Epoch:15, Snapshot: 28; Loss: 0.6317
+[2024-06-11 22:30:54,808 INFO] Epoch:15, Snapshot: 29; Loss: 0.5378
+[2024-06-11 22:30:55,762 INFO] Epoch:15, Snapshot: 30; Loss: 0.6660
+[2024-06-11 22:30:56,762 INFO] Epoch:15, Snapshot: 31; Loss: 0.5782
+[2024-06-11 22:30:57,748 INFO] Epoch:15, Snapshot: 32; Loss: 0.6567
+[2024-06-11 22:30:58,705 INFO] Epoch:15, Snapshot: 33; Loss: 0.6571
+[2024-06-11 22:30:59,654 INFO] Epoch:15, Snapshot: 34; Loss: 0.6743
+[2024-06-11 22:31:00,642 INFO] Epoch:15, Snapshot: 35; Loss: 0.5625
+[2024-06-11 22:31:01,673 INFO] Epoch:15, Snapshot: 36; Loss: 0.5138
+[2024-06-11 22:31:02,703 INFO] Epoch:15, Snapshot: 37; Loss: 0.6535
+[2024-06-11 22:31:03,705 INFO] Epoch:15, Snapshot: 38; Loss: 0.5595
+[2024-06-11 22:31:04,704 INFO] Epoch:15, Snapshot: 39; Loss: 0.6833
+[2024-06-11 22:31:05,739 INFO] Epoch:15, Snapshot: 40; Loss: 0.5668
+[2024-06-11 22:31:06,770 INFO] Epoch:15, Snapshot: 41; Loss: 0.6027
+[2024-06-11 22:31:07,756 INFO] Epoch:15, Snapshot: 42; Loss: 0.5850
+[2024-06-11 22:31:08,741 INFO] Epoch:15, Snapshot: 43; Loss: 0.5686
+[2024-06-11 22:31:09,745 INFO] Epoch:15, Snapshot: 44; Loss: 0.6461
+[2024-06-11 22:31:10,708 INFO] Epoch:15, Snapshot: 45; Loss: 0.6813
+[2024-06-11 22:31:11,664 INFO] Epoch:15, Snapshot: 46; Loss: 0.4873
+[2024-06-11 22:31:12,632 INFO] Epoch:15, Snapshot: 47; Loss: 0.6348
+[2024-06-11 22:31:13,648 INFO] Epoch:15, Snapshot: 48; Loss: 0.6312
+[2024-06-11 22:31:14,696 INFO] Epoch:15, Snapshot: 49; Loss: 0.5542
+[2024-06-11 22:31:15,697 INFO] Epoch:15, Snapshot: 50; Loss: 0.5879
+[2024-06-11 22:31:16,698 INFO] Epoch:15, Snapshot: 51; Loss: 0.5699
+[2024-06-11 22:31:17,683 INFO] Epoch:15, Snapshot: 52; Loss: 0.5197
+[2024-06-11 22:31:18,669 INFO] Epoch:15, Snapshot: 53; Loss: 0.5842
+[2024-06-11 22:31:19,606 INFO] Epoch:15, Snapshot: 54; Loss: 0.5356
+[2024-06-11 22:31:20,559 INFO] Epoch:15, Snapshot: 55; Loss: 0.5460
+[2024-06-11 22:31:21,528 INFO] Epoch:15, Snapshot: 56; Loss: 0.5629
+[2024-06-11 22:31:22,526 INFO] Epoch:15, Snapshot: 57; Loss: 0.5334
+[2024-06-11 22:31:23,499 INFO] Epoch:15, Snapshot: 58; Loss: 0.6532
+[2024-06-11 22:31:24,484 INFO] Epoch:15, Snapshot: 59; Loss: 0.5650
+[2024-06-11 22:31:25,486 INFO] Epoch:15, Snapshot: 60; Loss: 0.4806
+[2024-06-11 22:31:26,453 INFO] Epoch:15, Snapshot: 61; Loss: 0.5378
+[2024-06-11 22:31:27,390 INFO] Epoch:15, Snapshot: 62; Loss: 0.5971
+[2024-06-11 22:31:28,376 INFO] Epoch:15, Snapshot: 63; Loss: 0.6074
+[2024-06-11 22:31:29,377 INFO] Epoch:15, Snapshot: 64; Loss: 0.5582
+[2024-06-11 22:31:30,330 INFO] Epoch:15, Snapshot: 65; Loss: 0.6087
+[2024-06-11 22:31:31,268 INFO] Epoch:15, Snapshot: 66; Loss: 0.5598
+[2024-06-11 22:31:32,221 INFO] Epoch:15, Snapshot: 67; Loss: 0.5822
+[2024-06-11 22:31:33,144 INFO] Epoch:15, Snapshot: 68; Loss: 0.6718
+[2024-06-11 22:31:34,065 INFO] Epoch:15, Snapshot: 69; Loss: 0.6258
+[2024-06-11 22:31:34,989 INFO] Epoch:15, Snapshot: 70; Loss: 0.5947
+[2024-06-11 22:31:35,989 INFO] Epoch:15, Snapshot: 71; Loss: 0.5426
+[2024-06-11 22:31:36,960 INFO] Epoch:15, Snapshot: 72; Loss: 0.5664
+[2024-06-11 22:31:37,914 INFO] Epoch:15, Snapshot: 73; Loss: 0.6447
+[2024-06-11 22:31:38,869 INFO] Epoch:15, Snapshot: 74; Loss: 0.4479
+[2024-06-11 22:31:39,838 INFO] Epoch:15, Snapshot: 75; Loss: 0.5630
+[2024-06-11 22:31:40,824 INFO] Epoch:15, Snapshot: 76; Loss: 0.5646
+[2024-06-11 22:31:41,807 INFO] Epoch:15, Snapshot: 77; Loss: 0.5719
+[2024-06-11 22:31:42,792 INFO] Epoch:15, Snapshot: 78; Loss: 0.4412
+[2024-06-11 22:31:43,794 INFO] Epoch:15, Snapshot: 79; Loss: 0.6292
+[2024-06-11 22:31:44,764 INFO] Epoch:15, Snapshot: 80; Loss: 0.5958
+[2024-06-11 22:31:45,702 INFO] Epoch:15, Snapshot: 81; Loss: 0.4880
+[2024-06-11 22:31:46,640 INFO] Epoch:15, Snapshot: 82; Loss: 0.5756
+[2024-06-11 22:31:47,562 INFO] Epoch:15, Snapshot: 83; Loss: 0.5980
+[2024-06-11 22:31:48,549 INFO] Epoch:15, Snapshot: 84; Loss: 0.5332
+[2024-06-11 22:31:49,547 INFO] Epoch:15, Snapshot: 85; Loss: 0.5252
+[2024-06-11 22:31:50,485 INFO] Epoch:15, Snapshot: 86; Loss: 0.5977
+[2024-06-11 22:31:51,440 INFO] Epoch:15, Snapshot: 87; Loss: 0.5566
+[2024-06-11 22:31:52,362 INFO] Epoch:15, Snapshot: 88; Loss: 0.6025
+[2024-06-11 22:31:53,284 INFO] Epoch:15, Snapshot: 89; Loss: 0.5846
+[2024-06-11 22:31:54,208 INFO] Epoch:15, Snapshot: 90; Loss: 0.5832
+[2024-06-11 22:31:55,179 INFO] Epoch:15, Snapshot: 91; Loss: 0.5327
+[2024-06-11 22:31:56,133 INFO] Epoch:15, Snapshot: 92; Loss: 0.4814
+[2024-06-11 22:31:57,132 INFO] Epoch:15, Snapshot: 93; Loss: 0.5445
+[2024-06-11 22:31:58,071 INFO] Epoch:15, Snapshot: 94; Loss: 0.5785
+[2024-06-11 22:31:59,024 INFO] Epoch:15, Snapshot: 95; Loss: 0.5256
+[2024-06-11 22:31:59,961 INFO] Epoch:15, Snapshot: 96; Loss: 0.5232
+[2024-06-11 22:32:00,932 INFO] Epoch:15, Snapshot: 97; Loss: 0.6001
+[2024-06-11 22:32:01,918 INFO] Epoch:15, Snapshot: 98; Loss: 0.4641
+[2024-06-11 22:32:02,872 INFO] Epoch:15, Snapshot: 99; Loss: 0.6978
+[2024-06-11 22:32:03,824 INFO] Epoch:15, Snapshot: 100; Loss: 0.5923
+[2024-06-11 22:32:04,763 INFO] Epoch:15, Snapshot: 101; Loss: 0.6133
+[2024-06-11 22:32:05,700 INFO] Epoch:15, Snapshot: 102; Loss: 0.5911
+[2024-06-11 22:32:06,608 INFO] Epoch:15, Snapshot: 103; Loss: 0.5815
+[2024-06-11 22:32:07,546 INFO] Epoch:15, Snapshot: 104; Loss: 0.5850
+[2024-06-11 22:32:08,483 INFO] Epoch:15, Snapshot: 105; Loss: 0.5364
+[2024-06-11 22:32:09,453 INFO] Epoch:15, Snapshot: 106; Loss: 0.4897
+[2024-06-11 22:32:10,423 INFO] Epoch:15, Snapshot: 107; Loss: 0.5205
+[2024-06-11 22:32:11,378 INFO] Epoch:15, Snapshot: 108; Loss: 0.5176
+[2024-06-11 22:32:12,331 INFO] Epoch:15, Snapshot: 109; Loss: 0.5516
+[2024-06-11 22:32:13,254 INFO] Epoch:15, Snapshot: 110; Loss: 0.5390
+[2024-06-11 22:32:14,207 INFO] Epoch:15, Snapshot: 111; Loss: 0.4858
+[2024-06-11 22:32:15,162 INFO] Epoch:15, Snapshot: 112; Loss: 0.5695
+[2024-06-11 22:32:16,114 INFO] Epoch:15, Snapshot: 113; Loss: 0.5292
+[2024-06-11 22:32:17,083 INFO] Epoch:15, Snapshot: 114; Loss: 0.5554
+[2024-06-11 22:32:18,037 INFO] Epoch:15, Snapshot: 115; Loss: 0.5778
+[2024-06-11 22:32:18,974 INFO] Epoch:15, Snapshot: 116; Loss: 0.6126
+[2024-06-11 22:32:19,958 INFO] Epoch:15, Snapshot: 117; Loss: 0.6001
+[2024-06-11 22:32:20,943 INFO] Epoch:15, Snapshot: 118; Loss: 0.5271
+[2024-06-11 22:32:21,888 INFO] Epoch:15, Snapshot: 119; Loss: 0.4915
+[2024-06-11 22:32:22,819 INFO] Epoch:15, Snapshot: 120; Loss: 0.5982
+[2024-06-11 22:32:23,758 INFO] Epoch:15, Snapshot: 121; Loss: 0.5551
+[2024-06-11 22:32:24,679 INFO] Epoch:15, Snapshot: 122; Loss: 0.5709
+[2024-06-11 22:32:25,619 INFO] Epoch:15, Snapshot: 123; Loss: 0.5886
+[2024-06-11 22:32:26,603 INFO] Epoch:15, Snapshot: 124; Loss: 0.5045
+[2024-06-11 22:32:27,569 INFO] Epoch:15, Snapshot: 125; Loss: 0.5895
+[2024-06-11 22:32:28,556 INFO] Epoch:15, Snapshot: 126; Loss: 0.5389
+[2024-06-11 22:32:29,525 INFO] Epoch:15, Snapshot: 127; Loss: 0.6061
+[2024-06-11 22:32:30,462 INFO] Epoch:15, Snapshot: 128; Loss: 0.4485
+[2024-06-11 22:32:31,402 INFO] Epoch:15, Snapshot: 129; Loss: 0.5870
+[2024-06-11 22:32:32,401 INFO] Epoch:15, Snapshot: 130; Loss: 0.4911
+[2024-06-11 22:32:33,387 INFO] Epoch:15, Snapshot: 131; Loss: 0.5651
+[2024-06-11 22:32:34,356 INFO] Epoch:15, Snapshot: 132; Loss: 0.5297
+[2024-06-11 22:32:35,310 INFO] Epoch:15, Snapshot: 133; Loss: 0.4829
+[2024-06-11 22:32:36,250 INFO] Epoch:15, Snapshot: 134; Loss: 0.5015
+[2024-06-11 22:32:37,189 INFO] Epoch:15, Snapshot: 135; Loss: 0.5368
+[2024-06-11 22:32:38,124 INFO] Epoch:15, Snapshot: 136; Loss: 0.4873
+[2024-06-11 22:32:39,061 INFO] Epoch:15, Snapshot: 137; Loss: 0.5377
+[2024-06-11 22:32:40,000 INFO] Epoch:15, Snapshot: 138; Loss: 0.5204
+[2024-06-11 22:32:40,970 INFO] Epoch:15, Snapshot: 139; Loss: 0.6994
+[2024-06-11 22:32:41,923 INFO] Epoch:15, Snapshot: 140; Loss: 0.5888
+[2024-06-11 22:32:42,861 INFO] Epoch:15, Snapshot: 141; Loss: 0.5956
+[2024-06-11 22:32:43,832 INFO] Epoch:15, Snapshot: 142; Loss: 0.5236
+[2024-06-11 22:32:44,831 INFO] Epoch:15, Snapshot: 143; Loss: 0.5672
+[2024-06-11 22:32:45,802 INFO] Epoch:15, Snapshot: 144; Loss: 0.5935
+[2024-06-11 22:32:46,754 INFO] Epoch:15, Snapshot: 145; Loss: 0.5355
+[2024-06-11 22:32:47,738 INFO] Epoch:15, Snapshot: 146; Loss: 0.5313
+[2024-06-11 22:32:48,723 INFO] Epoch:15, Snapshot: 147; Loss: 0.5330
+[2024-06-11 22:32:49,676 INFO] Epoch:15, Snapshot: 148; Loss: 0.4955
+[2024-06-11 22:32:50,599 INFO] Epoch:15, Snapshot: 149; Loss: 0.6023
+[2024-06-11 22:32:51,598 INFO] Epoch:15, Snapshot: 150; Loss: 0.5575
+[2024-06-11 22:32:52,584 INFO] Epoch:15, Snapshot: 151; Loss: 0.4619
+[2024-06-11 22:32:53,617 INFO] Epoch:15, Snapshot: 152; Loss: 0.5399
+[2024-06-11 22:32:54,600 INFO] Epoch:15, Snapshot: 153; Loss: 0.5455
+[2024-06-11 22:32:55,601 INFO] Epoch:15, Snapshot: 154; Loss: 0.5676
+[2024-06-11 22:32:56,603 INFO] Epoch:15, Snapshot: 155; Loss: 0.6212
+[2024-06-11 22:32:57,540 INFO] Epoch:15, Snapshot: 156; Loss: 0.5882
+[2024-06-11 22:32:58,477 INFO] Epoch:15, Snapshot: 157; Loss: 0.5299
+[2024-06-11 22:32:59,386 INFO] Epoch:15, Snapshot: 158; Loss: 0.6875
+[2024-06-11 22:33:00,291 INFO] Epoch:15, Snapshot: 159; Loss: 0.6892
+[2024-06-11 22:33:01,228 INFO] Epoch:15, Snapshot: 160; Loss: 0.4916
+[2024-06-11 22:33:02,151 INFO] Epoch:15, Snapshot: 161; Loss: 0.6212
+[2024-06-11 22:33:03,120 INFO] Epoch:15, Snapshot: 162; Loss: 0.6260
+[2024-06-11 22:33:04,105 INFO] Epoch:15, Snapshot: 163; Loss: 0.5966
+[2024-06-11 22:33:05,090 INFO] Epoch:15, Snapshot: 164; Loss: 0.5476
+[2024-06-11 22:33:06,091 INFO] Epoch:15, Snapshot: 165; Loss: 0.5238
+[2024-06-11 22:33:07,013 INFO] Epoch:15, Snapshot: 166; Loss: 0.5395
+[2024-06-11 22:33:07,952 INFO] Epoch:15, Snapshot: 167; Loss: 0.5773
+[2024-06-11 22:33:08,919 INFO] Epoch:15, Snapshot: 168; Loss: 0.5375
+[2024-06-11 22:33:09,843 INFO] Epoch:15, Snapshot: 169; Loss: 0.5834
+[2024-06-11 22:33:10,782 INFO] Epoch:15, Snapshot: 170; Loss: 0.5361
+[2024-06-11 22:33:11,703 INFO] Epoch:15, Snapshot: 171; Loss: 0.5705
+[2024-06-11 22:33:12,642 INFO] Epoch:15, Snapshot: 172; Loss: 0.6365
+[2024-06-11 22:33:13,627 INFO] Epoch:15, Snapshot: 173; Loss: 0.4284
+[2024-06-11 22:33:14,595 INFO] Epoch:15, Snapshot: 174; Loss: 0.5160
+[2024-06-11 22:33:15,540 INFO] Epoch:15, Snapshot: 175; Loss: 0.6573
+[2024-06-11 22:33:16,472 INFO] Epoch:15, Snapshot: 176; Loss: 0.5090
+[2024-06-11 22:33:17,395 INFO] Epoch:15, Snapshot: 177; Loss: 0.5529
+[2024-06-11 22:33:18,317 INFO] Epoch:15, Snapshot: 178; Loss: 0.5833
+[2024-06-11 22:33:19,270 INFO] Epoch:15, Snapshot: 179; Loss: 0.5267
+[2024-06-11 22:33:20,209 INFO] Epoch:15, Snapshot: 180; Loss: 0.4530
+[2024-06-11 22:33:21,115 INFO] Epoch:15, Snapshot: 181; Loss: 0.6135
+[2024-06-11 22:33:22,100 INFO] Epoch:15, Snapshot: 182; Loss: 0.5698
+[2024-06-11 22:33:23,101 INFO] Epoch:15, Snapshot: 183; Loss: 0.5244
+[2024-06-11 22:33:24,100 INFO] Epoch:15, Snapshot: 184; Loss: 0.5380
+[2024-06-11 22:33:25,134 INFO] Epoch:15, Snapshot: 185; Loss: 0.5512
+[2024-06-11 22:33:26,148 INFO] Epoch:15, Snapshot: 186; Loss: 0.4883
+[2024-06-11 22:33:27,164 INFO] Epoch:15, Snapshot: 187; Loss: 0.5413
+[2024-06-11 22:33:28,212 INFO] Epoch:15, Snapshot: 188; Loss: 0.4837
+[2024-06-11 22:33:29,352 INFO] Epoch:15, Snapshot: 189; Loss: 0.5023
+[2024-06-11 22:33:30,492 INFO] Epoch:15, Snapshot: 190; Loss: 0.5757
+[2024-06-11 22:33:31,539 INFO] Epoch:15, Snapshot: 191; Loss: 0.5595
+[2024-06-11 22:33:32,523 INFO] Epoch:15, Snapshot: 192; Loss: 0.4534
+[2024-06-11 22:33:33,510 INFO] Epoch:15, Snapshot: 193; Loss: 0.4841
+[2024-06-11 22:33:34,461 INFO] Epoch:15, Snapshot: 194; Loss: 0.5810
+[2024-06-11 22:33:35,384 INFO] Epoch:15, Snapshot: 195; Loss: 0.6440
+[2024-06-11 22:33:36,368 INFO] Epoch:15, Snapshot: 196; Loss: 0.4620
+[2024-06-11 22:33:37,321 INFO] Epoch:15, Snapshot: 197; Loss: 0.4805
+[2024-06-11 22:33:38,275 INFO] Epoch:15, Snapshot: 198; Loss: 0.5706
+[2024-06-11 22:33:39,213 INFO] Epoch:15, Snapshot: 199; Loss: 0.5694
+[2024-06-11 22:33:40,136 INFO] Epoch:15, Snapshot: 200; Loss: 0.5026
+[2024-06-11 22:33:41,058 INFO] Epoch:15, Snapshot: 201; Loss: 0.5772
+[2024-06-11 22:33:42,027 INFO] Epoch:15, Snapshot: 202; Loss: 0.5654
+[2024-06-11 22:33:42,989 INFO] Epoch:15, Snapshot: 203; Loss: 0.6009
+[2024-06-11 22:33:43,975 INFO] Epoch:15, Snapshot: 204; Loss: 0.5002
+[2024-06-11 22:33:44,960 INFO] Epoch:15, Snapshot: 205; Loss: 0.5237
+[2024-06-11 22:33:45,945 INFO] Epoch:15, Snapshot: 206; Loss: 0.5502
+[2024-06-11 22:33:46,899 INFO] Epoch:15, Snapshot: 207; Loss: 0.6046
+[2024-06-11 22:33:47,853 INFO] Epoch:15, Snapshot: 208; Loss: 0.4471
+[2024-06-11 22:33:48,775 INFO] Epoch:15, Snapshot: 209; Loss: 0.5050
+[2024-06-11 22:33:49,713 INFO] Epoch:15, Snapshot: 210; Loss: 0.5908
+[2024-06-11 22:33:50,637 INFO] Epoch:15, Snapshot: 211; Loss: 0.6343
+[2024-06-11 22:33:51,573 INFO] Epoch:15, Snapshot: 212; Loss: 0.4178
+[2024-06-11 22:33:52,496 INFO] Epoch:15, Snapshot: 213; Loss: 0.5562
+[2024-06-11 22:33:53,452 INFO] Epoch:15, Snapshot: 214; Loss: 0.5594
+[2024-06-11 22:33:54,389 INFO] Epoch:15, Snapshot: 215; Loss: 0.6334
+[2024-06-11 22:33:55,326 INFO] Epoch:15, Snapshot: 216; Loss: 0.5403
+[2024-06-11 22:33:56,265 INFO] Epoch:15, Snapshot: 217; Loss: 0.5559
+[2024-06-11 22:33:57,202 INFO] Epoch:15, Snapshot: 218; Loss: 0.5047
+[2024-06-11 22:33:58,186 INFO] Epoch:15, Snapshot: 219; Loss: 0.5141
+[2024-06-11 22:33:59,140 INFO] Epoch:15, Snapshot: 220; Loss: 0.5823
+[2024-06-11 22:34:00,158 INFO] Epoch:15, Snapshot: 221; Loss: 0.5287
+[2024-06-11 22:34:01,251 INFO] Epoch:15, Snapshot: 222; Loss: 0.5300
+[2024-06-11 22:34:02,224 INFO] Epoch:15, Snapshot: 223; Loss: 0.5431
+[2024-06-11 22:34:03,158 INFO] Epoch:15, Snapshot: 224; Loss: 0.5025
+[2024-06-11 22:34:04,080 INFO] Epoch:15, Snapshot: 225; Loss: 0.5203
+[2024-06-11 22:34:05,050 INFO] Epoch:15, Snapshot: 226; Loss: 0.6269
+[2024-06-11 22:34:06,002 INFO] Epoch:15, Snapshot: 227; Loss: 0.4757
+[2024-06-11 22:34:06,909 INFO] Epoch:15, Snapshot: 228; Loss: 0.5480
+[2024-06-11 22:34:07,817 INFO] Epoch:15, Snapshot: 229; Loss: 0.4990
+[2024-06-11 22:34:08,754 INFO] Epoch:15, Snapshot: 230; Loss: 0.5724
+[2024-06-11 22:34:09,724 INFO] Epoch:15, Snapshot: 231; Loss: 0.5857
+[2024-06-11 22:34:10,683 INFO] Epoch:15, Snapshot: 232; Loss: 0.4659
+[2024-06-11 22:34:11,600 INFO] Epoch:15, Snapshot: 233; Loss: 0.5944
+[2024-06-11 22:34:12,524 INFO] Epoch:15, Snapshot: 234; Loss: 0.5606
+[2024-06-11 22:34:13,462 INFO] Epoch:15, Snapshot: 235; Loss: 0.4902
+[2024-06-11 22:34:14,370 INFO] Epoch:15, Snapshot: 236; Loss: 0.4853
+[2024-06-11 22:34:15,259 INFO] Epoch:15, Snapshot: 237; Loss: 0.5393
+[2024-06-11 22:34:16,196 INFO] Epoch:15, Snapshot: 238; Loss: 0.5178
+[2024-06-11 22:34:17,166 INFO] Epoch:15, Snapshot: 239; Loss: 0.4876
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+[2024-06-11 22:34:54,452 INFO] Epoch:15, Snapshot: 280; Loss: 0.5497
+[2024-06-11 22:34:55,328 INFO] Epoch:15, Snapshot: 281; Loss: 0.5764
+[2024-06-11 22:34:56,235 INFO] Epoch:15, Snapshot: 282; Loss: 0.5415
+[2024-06-11 22:34:57,157 INFO] Epoch:15, Snapshot: 283; Loss: 0.5524
+[2024-06-11 22:34:58,048 INFO] Epoch:15, Snapshot: 284; Loss: 0.5679
+[2024-06-11 22:34:58,941 INFO] Epoch:15, Snapshot: 285; Loss: 0.5411
+[2024-06-11 22:34:59,817 INFO] Epoch:15, Snapshot: 286; Loss: 0.6143
+[2024-06-11 22:35:00,692 INFO] Epoch:15, Snapshot: 287; Loss: 0.5629
+[2024-06-11 22:35:01,567 INFO] Epoch:15, Snapshot: 288; Loss: 0.5323
+[2024-06-11 22:35:02,444 INFO] Epoch:15, Snapshot: 289; Loss: 0.5527
+[2024-06-11 22:35:03,288 INFO] Epoch:15, Snapshot: 290; Loss: 0.5877
+[2024-06-11 22:35:04,163 INFO] Epoch:15, Snapshot: 291; Loss: 0.5842
+[2024-06-11 22:35:05,007 INFO] Epoch:15, Snapshot: 292; Loss: 0.5915
+[2024-06-11 22:35:05,900 INFO] Epoch:15, Snapshot: 293; Loss: 0.5369
+[2024-06-11 22:35:06,790 INFO] Epoch:15, Snapshot: 294; Loss: 0.5458
+[2024-06-11 22:35:07,666 INFO] Epoch:15, Snapshot: 295; Loss: 0.5668
+[2024-06-11 22:35:08,510 INFO] Epoch:15, Snapshot: 296; Loss: 0.5438
+[2024-06-11 22:35:09,355 INFO] Epoch:15, Snapshot: 297; Loss: 0.5556
+[2024-06-11 22:35:10,247 INFO] Epoch:15, Snapshot: 298; Loss: 0.5177
+[2024-06-11 22:35:11,137 INFO] Epoch:15, Snapshot: 299; Loss: 0.5333
+[2024-06-11 22:35:12,029 INFO] Epoch:15, Snapshot: 300; Loss: 0.5046
+[2024-06-11 22:35:12,890 INFO] Epoch:15, Snapshot: 301; Loss: 0.5678
+[2024-06-11 22:35:13,763 INFO] Epoch:15, Snapshot: 302; Loss: 0.5365
+[2024-06-11 22:35:14,639 INFO] Epoch:15, Snapshot: 303; Loss: 0.5226
+[2024-06-11 22:35:15,504 INFO] Epoch:15, Snapshot: 304; Loss: 0.4805
+[2024-06-11 22:35:16,372 INFO] Epoch:15, Snapshot: 305; Loss: 0.6007
+[2024-06-11 22:35:17,265 INFO] Epoch:15, Snapshot: 306; Loss: 0.5454
+[2024-06-11 22:35:18,150 INFO] Epoch:15, Snapshot: 307; Loss: 0.5763
+[2024-06-11 22:35:19,033 INFO] Epoch:15, Snapshot: 308; Loss: 0.5447
+[2024-06-11 22:35:19,909 INFO] Epoch:15, Snapshot: 309; Loss: 0.5270
+[2024-06-11 22:35:20,800 INFO] Epoch:15, Snapshot: 310; Loss: 0.5795
+[2024-06-11 22:35:21,660 INFO] Epoch:15, Snapshot: 311; Loss: 0.5113
+[2024-06-11 22:35:22,536 INFO] Epoch:15, Snapshot: 312; Loss: 0.5406
+[2024-06-11 22:35:23,412 INFO] Epoch:15, Snapshot: 313; Loss: 0.6727
+[2024-06-11 22:35:24,288 INFO] Epoch:15, Snapshot: 314; Loss: 0.4955
+[2024-06-11 22:35:25,164 INFO] Epoch:15, Snapshot: 315; Loss: 0.5881
+[2024-06-11 22:35:26,041 INFO] Epoch:15, Snapshot: 316; Loss: 0.5948
+[2024-06-11 22:35:26,930 INFO] Epoch:15, Snapshot: 317; Loss: 0.6032
+[2024-06-11 22:40:15,139 INFO] ==========================================================================================
+[2024-06-11 22:40:15,139 INFO] Epoch:15, Loss: 0.5711, Time: 591.738, GPU: 566.0MiB
+[2024-06-11 22:40:15,139 INFO] Epoch:15, Accuracy: 0.9255; F1: 0.9307; Recall: 0.9353; Precision: 0.9329; ROC AUC: 0.9256, Memory: 565.9653, time: 809.2328
+[2024-06-11 22:40:16,125 INFO] Epoch:16, Snapshot: 0; Loss: 0.7482
+[2024-06-11 22:40:17,250 INFO] Epoch:16, Snapshot: 1; Loss: 0.6989
+[2024-06-11 22:40:18,329 INFO] Epoch:16, Snapshot: 2; Loss: 0.6306
+[2024-06-11 22:40:19,487 INFO] Epoch:16, Snapshot: 3; Loss: 0.6876
+[2024-06-11 22:40:20,581 INFO] Epoch:16, Snapshot: 4; Loss: 0.6561
+[2024-06-11 22:40:21,676 INFO] Epoch:16, Snapshot: 5; Loss: 0.6551
+[2024-06-11 22:40:22,785 INFO] Epoch:16, Snapshot: 6; Loss: 0.6538
+[2024-06-11 22:40:23,864 INFO] Epoch:16, Snapshot: 7; Loss: 0.6139
+[2024-06-11 22:40:24,991 INFO] Epoch:16, Snapshot: 8; Loss: 0.6027
+[2024-06-11 22:40:26,057 INFO] Epoch:16, Snapshot: 9; Loss: 0.6140
+[2024-06-11 22:40:27,163 INFO] Epoch:16, Snapshot: 10; Loss: 0.5885
+[2024-06-11 22:40:28,196 INFO] Epoch:16, Snapshot: 11; Loss: 0.6076
+[2024-06-11 22:40:29,289 INFO] Epoch:16, Snapshot: 12; Loss: 0.5723
+[2024-06-11 22:40:30,353 INFO] Epoch:16, Snapshot: 13; Loss: 0.5724
+[2024-06-11 22:40:31,464 INFO] Epoch:16, Snapshot: 14; Loss: 0.5678
+[2024-06-11 22:40:32,559 INFO] Epoch:16, Snapshot: 15; Loss: 0.5551
+[2024-06-11 22:40:33,635 INFO] Epoch:16, Snapshot: 16; Loss: 0.5996
+[2024-06-11 22:40:34,792 INFO] Epoch:16, Snapshot: 17; Loss: 0.5151
+[2024-06-11 22:40:35,902 INFO] Epoch:16, Snapshot: 18; Loss: 0.5309
+[2024-06-11 22:40:36,918 INFO] Epoch:16, Snapshot: 19; Loss: 0.5859
+[2024-06-11 22:40:37,871 INFO] Epoch:16, Snapshot: 20; Loss: 0.6256
+[2024-06-11 22:40:38,810 INFO] Epoch:16, Snapshot: 21; Loss: 0.5793
+[2024-06-11 22:40:39,733 INFO] Epoch:16, Snapshot: 22; Loss: 0.5469
+[2024-06-11 22:40:40,685 INFO] Epoch:16, Snapshot: 23; Loss: 0.5696
+[2024-06-11 22:40:41,608 INFO] Epoch:16, Snapshot: 24; Loss: 0.5760
+[2024-06-11 22:40:42,532 INFO] Epoch:16, Snapshot: 25; Loss: 0.5425
+[2024-06-11 22:40:43,437 INFO] Epoch:16, Snapshot: 26; Loss: 0.6016
+[2024-06-11 22:40:44,392 INFO] Epoch:16, Snapshot: 27; Loss: 0.5785
+[2024-06-11 22:40:45,362 INFO] Epoch:16, Snapshot: 28; Loss: 0.5391
+[2024-06-11 22:40:46,315 INFO] Epoch:16, Snapshot: 29; Loss: 0.5663
+[2024-06-11 22:40:47,253 INFO] Epoch:16, Snapshot: 30; Loss: 0.6278
+[2024-06-11 22:40:48,223 INFO] Epoch:16, Snapshot: 31; Loss: 0.5518
+[2024-06-11 22:40:49,239 INFO] Epoch:16, Snapshot: 32; Loss: 0.5425
+[2024-06-11 22:40:50,270 INFO] Epoch:16, Snapshot: 33; Loss: 0.6334
+[2024-06-11 22:40:51,270 INFO] Epoch:16, Snapshot: 34; Loss: 0.6089
+[2024-06-11 22:40:52,272 INFO] Epoch:16, Snapshot: 35; Loss: 0.5523
+[2024-06-11 22:40:53,272 INFO] Epoch:16, Snapshot: 36; Loss: 0.5903
+[2024-06-11 22:40:54,259 INFO] Epoch:16, Snapshot: 37; Loss: 0.6189
+[2024-06-11 22:40:55,228 INFO] Epoch:16, Snapshot: 38; Loss: 0.5409
+[2024-06-11 22:40:56,242 INFO] Epoch:16, Snapshot: 39; Loss: 0.6323
+[2024-06-11 22:40:57,259 INFO] Epoch:16, Snapshot: 40; Loss: 0.5845
+[2024-06-11 22:40:58,308 INFO] Epoch:16, Snapshot: 41; Loss: 0.6282
+[2024-06-11 22:40:59,277 INFO] Epoch:16, Snapshot: 42; Loss: 0.5693
+[2024-06-11 22:41:00,264 INFO] Epoch:16, Snapshot: 43; Loss: 0.5964
+[2024-06-11 22:41:01,277 INFO] Epoch:16, Snapshot: 44; Loss: 0.6104
+[2024-06-11 22:41:02,262 INFO] Epoch:16, Snapshot: 45; Loss: 0.6792
+[2024-06-11 22:41:03,232 INFO] Epoch:16, Snapshot: 46; Loss: 0.6408
+[2024-06-11 22:41:04,216 INFO] Epoch:16, Snapshot: 47; Loss: 0.6679
+[2024-06-11 22:41:05,219 INFO] Epoch:16, Snapshot: 48; Loss: 0.5844
+[2024-06-11 22:41:06,265 INFO] Epoch:16, Snapshot: 49; Loss: 0.6057
+[2024-06-11 22:41:07,296 INFO] Epoch:16, Snapshot: 50; Loss: 0.6435
+[2024-06-11 22:41:08,327 INFO] Epoch:16, Snapshot: 51; Loss: 0.5242
+[2024-06-11 22:41:09,328 INFO] Epoch:16, Snapshot: 52; Loss: 0.5004
+[2024-06-11 22:41:10,331 INFO] Epoch:16, Snapshot: 53; Loss: 0.5954
+[2024-06-11 22:41:11,298 INFO] Epoch:16, Snapshot: 54; Loss: 0.5920
+[2024-06-11 22:41:12,299 INFO] Epoch:16, Snapshot: 55; Loss: 0.5606
+[2024-06-11 22:41:13,269 INFO] Epoch:16, Snapshot: 56; Loss: 0.6104
+[2024-06-11 22:41:14,270 INFO] Epoch:16, Snapshot: 57; Loss: 0.5132
+[2024-06-11 22:41:15,223 INFO] Epoch:16, Snapshot: 58; Loss: 0.5203
+[2024-06-11 22:41:16,240 INFO] Epoch:16, Snapshot: 59; Loss: 0.4995
+[2024-06-11 22:41:17,256 INFO] Epoch:16, Snapshot: 60; Loss: 0.5808
+[2024-06-11 22:41:18,256 INFO] Epoch:16, Snapshot: 61; Loss: 0.5513
+[2024-06-11 22:41:19,256 INFO] Epoch:16, Snapshot: 62; Loss: 0.6341
+[2024-06-11 22:41:20,274 INFO] Epoch:16, Snapshot: 63; Loss: 0.5455
+[2024-06-11 22:41:21,273 INFO] Epoch:16, Snapshot: 64; Loss: 0.4868
+[2024-06-11 22:41:22,244 INFO] Epoch:16, Snapshot: 65; Loss: 0.5841
+[2024-06-11 22:41:23,150 INFO] Epoch:16, Snapshot: 66; Loss: 0.5676
+[2024-06-11 22:41:24,073 INFO] Epoch:16, Snapshot: 67; Loss: 0.6096
+[2024-06-11 22:41:24,980 INFO] Epoch:16, Snapshot: 68; Loss: 0.6240
+[2024-06-11 22:41:25,916 INFO] Epoch:16, Snapshot: 69; Loss: 0.6484
+[2024-06-11 22:41:26,888 INFO] Epoch:16, Snapshot: 70; Loss: 0.5880
+[2024-06-11 22:41:27,842 INFO] Epoch:16, Snapshot: 71; Loss: 0.6606
+[2024-06-11 22:41:28,782 INFO] Epoch:16, Snapshot: 72; Loss: 0.4812
+[2024-06-11 22:41:29,747 INFO] Epoch:16, Snapshot: 73; Loss: 0.5130
+[2024-06-11 22:41:30,686 INFO] Epoch:16, Snapshot: 74; Loss: 0.5071
+[2024-06-11 22:41:31,640 INFO] Epoch:16, Snapshot: 75; Loss: 0.6329
+[2024-06-11 22:41:32,594 INFO] Epoch:16, Snapshot: 76; Loss: 0.5390
+[2024-06-11 22:41:33,516 INFO] Epoch:16, Snapshot: 77; Loss: 0.6097
+[2024-06-11 22:41:34,485 INFO] Epoch:16, Snapshot: 78; Loss: 0.5333
+[2024-06-11 22:41:35,454 INFO] Epoch:16, Snapshot: 79; Loss: 0.6375
+[2024-06-11 22:41:36,454 INFO] Epoch:16, Snapshot: 80; Loss: 0.5952
+[2024-06-11 22:41:37,439 INFO] Epoch:16, Snapshot: 81; Loss: 0.5734
+[2024-06-11 22:41:38,408 INFO] Epoch:16, Snapshot: 82; Loss: 0.4849
+[2024-06-11 22:41:39,378 INFO] Epoch:16, Snapshot: 83; Loss: 0.5757
+[2024-06-11 22:41:40,350 INFO] Epoch:16, Snapshot: 84; Loss: 0.6306
+[2024-06-11 22:41:41,332 INFO] Epoch:16, Snapshot: 85; Loss: 0.5058
+[2024-06-11 22:41:42,269 INFO] Epoch:16, Snapshot: 86; Loss: 0.5808
+[2024-06-11 22:41:43,238 INFO] Epoch:16, Snapshot: 87; Loss: 0.5716
+[2024-06-11 22:41:44,177 INFO] Epoch:16, Snapshot: 88; Loss: 0.5436
+[2024-06-11 22:41:45,162 INFO] Epoch:16, Snapshot: 89; Loss: 0.5909
+[2024-06-11 22:41:46,130 INFO] Epoch:16, Snapshot: 90; Loss: 0.6364
+[2024-06-11 22:41:47,101 INFO] Epoch:16, Snapshot: 91; Loss: 0.6020
+[2024-06-11 22:41:48,073 INFO] Epoch:16, Snapshot: 92; Loss: 0.4712
+[2024-06-11 22:41:49,024 INFO] Epoch:16, Snapshot: 93; Loss: 0.5926
+[2024-06-11 22:41:50,009 INFO] Epoch:16, Snapshot: 94; Loss: 0.5514
+[2024-06-11 22:41:50,962 INFO] Epoch:16, Snapshot: 95; Loss: 0.4790
+[2024-06-11 22:41:51,962 INFO] Epoch:16, Snapshot: 96; Loss: 0.5770
+[2024-06-11 22:41:52,949 INFO] Epoch:16, Snapshot: 97; Loss: 0.5162
+[2024-06-11 22:41:53,918 INFO] Epoch:16, Snapshot: 98; Loss: 0.4998
+[2024-06-11 22:41:54,919 INFO] Epoch:16, Snapshot: 99; Loss: 0.6306
+[2024-06-11 22:41:55,841 INFO] Epoch:16, Snapshot: 100; Loss: 0.6147
+[2024-06-11 22:41:56,779 INFO] Epoch:16, Snapshot: 101; Loss: 0.5249
+[2024-06-11 22:41:57,717 INFO] Epoch:16, Snapshot: 102; Loss: 0.6108
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+[2024-06-11 22:42:00,452 INFO] Epoch:16, Snapshot: 105; Loss: 0.4987
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+[2024-06-11 22:42:02,375 INFO] Epoch:16, Snapshot: 107; Loss: 0.4510
+[2024-06-11 22:42:03,345 INFO] Epoch:16, Snapshot: 108; Loss: 0.5357
+[2024-06-11 22:42:04,299 INFO] Epoch:16, Snapshot: 109; Loss: 0.5429
+[2024-06-11 22:42:05,238 INFO] Epoch:16, Snapshot: 110; Loss: 0.5216
+[2024-06-11 22:42:06,228 INFO] Epoch:16, Snapshot: 111; Loss: 0.5178
+[2024-06-11 22:42:07,162 INFO] Epoch:16, Snapshot: 112; Loss: 0.4801
+[2024-06-11 22:42:08,147 INFO] Epoch:16, Snapshot: 113; Loss: 0.5753
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+[2024-06-11 22:42:10,073 INFO] Epoch:16, Snapshot: 115; Loss: 0.5688
+[2024-06-11 22:42:11,056 INFO] Epoch:16, Snapshot: 116; Loss: 0.6647
+[2024-06-11 22:42:11,994 INFO] Epoch:16, Snapshot: 117; Loss: 0.6052
+[2024-06-11 22:42:12,932 INFO] Epoch:16, Snapshot: 118; Loss: 0.5711
+[2024-06-11 22:42:13,854 INFO] Epoch:16, Snapshot: 119; Loss: 0.4901
+[2024-06-11 22:42:14,793 INFO] Epoch:16, Snapshot: 120; Loss: 0.6798
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+[2024-06-11 22:42:20,468 INFO] Epoch:16, Snapshot: 126; Loss: 0.5659
+[2024-06-11 22:42:21,386 INFO] Epoch:16, Snapshot: 127; Loss: 0.6258
+[2024-06-11 22:42:22,313 INFO] Epoch:16, Snapshot: 128; Loss: 0.4386
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+[2024-06-11 22:42:25,221 INFO] Epoch:16, Snapshot: 131; Loss: 0.6032
+[2024-06-11 22:42:26,206 INFO] Epoch:16, Snapshot: 132; Loss: 0.4996
+[2024-06-11 22:42:27,192 INFO] Epoch:16, Snapshot: 133; Loss: 0.4923
+[2024-06-11 22:42:28,190 INFO] Epoch:16, Snapshot: 134; Loss: 0.5744
+[2024-06-11 22:42:29,143 INFO] Epoch:16, Snapshot: 135; Loss: 0.5398
+[2024-06-11 22:42:30,113 INFO] Epoch:16, Snapshot: 136; Loss: 0.4995
+[2024-06-11 22:42:31,068 INFO] Epoch:16, Snapshot: 137; Loss: 0.5063
+[2024-06-11 22:42:32,020 INFO] Epoch:16, Snapshot: 138; Loss: 0.5592
+[2024-06-11 22:42:32,941 INFO] Epoch:16, Snapshot: 139; Loss: 0.6754
+[2024-06-11 22:42:33,881 INFO] Epoch:16, Snapshot: 140; Loss: 0.5016
+[2024-06-11 22:42:34,803 INFO] Epoch:16, Snapshot: 141; Loss: 0.5688
+[2024-06-11 22:42:35,756 INFO] Epoch:16, Snapshot: 142; Loss: 0.5626
+[2024-06-11 22:42:36,680 INFO] Epoch:16, Snapshot: 143; Loss: 0.4970
+[2024-06-11 22:42:37,649 INFO] Epoch:16, Snapshot: 144; Loss: 0.5826
+[2024-06-11 22:42:38,602 INFO] Epoch:16, Snapshot: 145; Loss: 0.5623
+[2024-06-11 22:42:39,586 INFO] Epoch:16, Snapshot: 146; Loss: 0.5301
+[2024-06-11 22:42:40,541 INFO] Epoch:16, Snapshot: 147; Loss: 0.6030
+[2024-06-11 22:42:41,511 INFO] Epoch:16, Snapshot: 148; Loss: 0.4552
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+[2024-06-11 22:43:21,374 INFO] Epoch:16, Snapshot: 190; Loss: 0.5555
+[2024-06-11 22:43:22,376 INFO] Epoch:16, Snapshot: 191; Loss: 0.4979
+[2024-06-11 22:43:23,345 INFO] Epoch:16, Snapshot: 192; Loss: 0.4811
+[2024-06-11 22:43:24,298 INFO] Epoch:16, Snapshot: 193; Loss: 0.5337
+[2024-06-11 22:43:25,238 INFO] Epoch:16, Snapshot: 194; Loss: 0.5332
+[2024-06-11 22:43:26,184 INFO] Epoch:16, Snapshot: 195; Loss: 0.5073
+[2024-06-11 22:43:27,090 INFO] Epoch:16, Snapshot: 196; Loss: 0.5851
+[2024-06-11 22:43:28,048 INFO] Epoch:16, Snapshot: 197; Loss: 0.4986
+[2024-06-11 22:43:29,002 INFO] Epoch:16, Snapshot: 198; Loss: 0.5902
+[2024-06-11 22:43:29,939 INFO] Epoch:16, Snapshot: 199; Loss: 0.6408
+[2024-06-11 22:43:30,879 INFO] Epoch:16, Snapshot: 200; Loss: 0.6080
+[2024-06-11 22:43:31,801 INFO] Epoch:16, Snapshot: 201; Loss: 0.5579
+[2024-06-11 22:43:32,754 INFO] Epoch:16, Snapshot: 202; Loss: 0.5574
+[2024-06-11 22:43:33,739 INFO] Epoch:16, Snapshot: 203; Loss: 0.5046
+[2024-06-11 22:43:34,740 INFO] Epoch:16, Snapshot: 204; Loss: 0.5284
+[2024-06-11 22:43:35,710 INFO] Epoch:16, Snapshot: 205; Loss: 0.5287
+[2024-06-11 22:43:36,663 INFO] Epoch:16, Snapshot: 206; Loss: 0.6102
+[2024-06-11 22:43:37,619 INFO] Epoch:16, Snapshot: 207; Loss: 0.5725
+[2024-06-11 22:43:38,542 INFO] Epoch:16, Snapshot: 208; Loss: 0.5000
+[2024-06-11 22:43:39,463 INFO] Epoch:16, Snapshot: 209; Loss: 0.5781
+[2024-06-11 22:43:40,419 INFO] Epoch:16, Snapshot: 210; Loss: 0.4980
+[2024-06-11 22:43:41,370 INFO] Epoch:16, Snapshot: 211; Loss: 0.5493
+[2024-06-11 22:43:42,310 INFO] Epoch:16, Snapshot: 212; Loss: 0.5389
+[2024-06-11 22:43:43,247 INFO] Epoch:16, Snapshot: 213; Loss: 0.5217
+[2024-06-11 22:43:44,203 INFO] Epoch:16, Snapshot: 214; Loss: 0.4665
+[2024-06-11 22:43:45,141 INFO] Epoch:16, Snapshot: 215; Loss: 0.6071
+[2024-06-11 22:43:46,079 INFO] Epoch:16, Snapshot: 216; Loss: 0.5165
+[2024-06-11 22:43:47,048 INFO] Epoch:16, Snapshot: 217; Loss: 0.5529
+[2024-06-11 22:43:47,987 INFO] Epoch:16, Snapshot: 218; Loss: 0.5365
+[2024-06-11 22:43:48,941 INFO] Epoch:16, Snapshot: 219; Loss: 0.5799
+[2024-06-11 22:43:49,877 INFO] Epoch:16, Snapshot: 220; Loss: 0.5037
+[2024-06-11 22:43:50,862 INFO] Epoch:16, Snapshot: 221; Loss: 0.5731
+[2024-06-11 22:43:51,847 INFO] Epoch:16, Snapshot: 222; Loss: 0.5235
+[2024-06-11 22:43:52,800 INFO] Epoch:16, Snapshot: 223; Loss: 0.6263
+[2024-06-11 22:43:53,722 INFO] Epoch:16, Snapshot: 224; Loss: 0.4510
+[2024-06-11 22:43:54,643 INFO] Epoch:16, Snapshot: 225; Loss: 0.5996
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+[2024-06-11 22:43:56,521 INFO] Epoch:16, Snapshot: 227; Loss: 0.5163
+[2024-06-11 22:43:57,506 INFO] Epoch:16, Snapshot: 228; Loss: 0.5011
+[2024-06-11 22:43:58,507 INFO] Epoch:16, Snapshot: 229; Loss: 0.5540
+[2024-06-11 22:43:59,445 INFO] Epoch:16, Snapshot: 230; Loss: 0.5615
+[2024-06-11 22:44:00,401 INFO] Epoch:16, Snapshot: 231; Loss: 0.5356
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+[2024-06-11 22:44:02,279 INFO] Epoch:16, Snapshot: 233; Loss: 0.4798
+[2024-06-11 22:44:03,183 INFO] Epoch:16, Snapshot: 234; Loss: 0.6175
+[2024-06-11 22:44:04,107 INFO] Epoch:16, Snapshot: 235; Loss: 0.5324
+[2024-06-11 22:44:05,028 INFO] Epoch:16, Snapshot: 236; Loss: 0.4872
+[2024-06-11 22:44:05,951 INFO] Epoch:16, Snapshot: 237; Loss: 0.4897
+[2024-06-11 22:44:06,936 INFO] Epoch:16, Snapshot: 238; Loss: 0.5650
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+[2024-06-11 22:44:09,907 INFO] Epoch:16, Snapshot: 241; Loss: 0.5111
+[2024-06-11 22:44:10,846 INFO] Epoch:16, Snapshot: 242; Loss: 0.5097
+[2024-06-11 22:44:11,784 INFO] Epoch:16, Snapshot: 243; Loss: 0.5104
+[2024-06-11 22:44:12,722 INFO] Epoch:16, Snapshot: 244; Loss: 0.4888
+[2024-06-11 22:44:13,658 INFO] Epoch:16, Snapshot: 245; Loss: 0.5144
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+[2024-06-11 22:44:16,583 INFO] Epoch:16, Snapshot: 248; Loss: 0.6006
+[2024-06-11 22:44:17,569 INFO] Epoch:16, Snapshot: 249; Loss: 0.5630
+[2024-06-11 22:44:18,521 INFO] Epoch:16, Snapshot: 250; Loss: 0.5265
+[2024-06-11 22:44:19,522 INFO] Epoch:16, Snapshot: 251; Loss: 0.5666
+[2024-06-11 22:44:20,447 INFO] Epoch:16, Snapshot: 252; Loss: 0.6923
+[2024-06-11 22:44:21,337 INFO] Epoch:16, Snapshot: 253; Loss: 0.7505
+[2024-06-11 22:44:22,194 INFO] Epoch:16, Snapshot: 254; Loss: 0.5968
+[2024-06-11 22:44:23,117 INFO] Epoch:16, Snapshot: 255; Loss: 0.6397
+[2024-06-11 22:44:24,148 INFO] Epoch:16, Snapshot: 256; Loss: 0.7355
+[2024-06-11 22:44:25,117 INFO] Epoch:16, Snapshot: 257; Loss: 0.6372
+[2024-06-11 22:44:26,071 INFO] Epoch:16, Snapshot: 258; Loss: 0.6497
+[2024-06-11 22:44:26,945 INFO] Epoch:16, Snapshot: 259; Loss: 0.7397
+[2024-06-11 22:44:27,790 INFO] Epoch:16, Snapshot: 260; Loss: 0.7596
+[2024-06-11 22:44:28,636 INFO] Epoch:16, Snapshot: 261; Loss: 0.8257
+[2024-06-11 22:44:29,495 INFO] Epoch:16, Snapshot: 262; Loss: 0.7548
+[2024-06-11 22:44:30,324 INFO] Epoch:16, Snapshot: 263; Loss: 0.7235
+[2024-06-11 22:44:31,192 INFO] Epoch:16, Snapshot: 264; Loss: 0.7421
+[2024-06-11 22:44:32,075 INFO] Epoch:16, Snapshot: 265; Loss: 0.6942
+[2024-06-11 22:44:32,966 INFO] Epoch:16, Snapshot: 266; Loss: 0.6160
+[2024-06-11 22:44:33,826 INFO] Epoch:16, Snapshot: 267; Loss: 0.6913
+[2024-06-11 22:44:34,686 INFO] Epoch:16, Snapshot: 268; Loss: 0.6241
+[2024-06-11 22:44:35,554 INFO] Epoch:16, Snapshot: 269; Loss: 0.6299
+[2024-06-11 22:44:36,421 INFO] Epoch:16, Snapshot: 270; Loss: 0.6335
+[2024-06-11 22:44:37,297 INFO] Epoch:16, Snapshot: 271; Loss: 0.5789
+[2024-06-11 22:44:38,172 INFO] Epoch:16, Snapshot: 272; Loss: 0.6075
+[2024-06-11 22:44:39,049 INFO] Epoch:16, Snapshot: 273; Loss: 0.5927
+[2024-06-11 22:44:39,925 INFO] Epoch:16, Snapshot: 274; Loss: 0.5987
+[2024-06-11 22:44:40,770 INFO] Epoch:16, Snapshot: 275; Loss: 0.5892
+[2024-06-11 22:44:41,629 INFO] Epoch:16, Snapshot: 276; Loss: 0.6029
+[2024-06-11 22:44:42,488 INFO] Epoch:16, Snapshot: 277; Loss: 0.5548
+[2024-06-11 22:44:43,349 INFO] Epoch:16, Snapshot: 278; Loss: 0.6112
+[2024-06-11 22:44:44,211 INFO] Epoch:16, Snapshot: 279; Loss: 0.5594
+[2024-06-11 22:44:45,036 INFO] Epoch:16, Snapshot: 280; Loss: 0.5828
+[2024-06-11 22:44:45,914 INFO] Epoch:16, Snapshot: 281; Loss: 0.5889
+[2024-06-11 22:44:46,775 INFO] Epoch:16, Snapshot: 282; Loss: 0.5994
+[2024-06-11 22:44:47,665 INFO] Epoch:16, Snapshot: 283; Loss: 0.5385
+[2024-06-11 22:44:48,523 INFO] Epoch:16, Snapshot: 284; Loss: 0.5742
+[2024-06-11 22:44:49,401 INFO] Epoch:16, Snapshot: 285; Loss: 0.5588
+[2024-06-11 22:44:50,245 INFO] Epoch:16, Snapshot: 286; Loss: 0.6005
+[2024-06-11 22:44:51,104 INFO] Epoch:16, Snapshot: 287; Loss: 0.5156
+[2024-06-11 22:44:51,963 INFO] Epoch:16, Snapshot: 288; Loss: 0.5565
+[2024-06-11 22:44:52,858 INFO] Epoch:16, Snapshot: 289; Loss: 0.5782
+[2024-06-11 22:44:53,746 INFO] Epoch:16, Snapshot: 290; Loss: 0.6109
+[2024-06-11 22:44:54,653 INFO] Epoch:16, Snapshot: 291; Loss: 0.5868
+[2024-06-11 22:44:55,528 INFO] Epoch:16, Snapshot: 292; Loss: 0.5882
+[2024-06-11 22:44:56,419 INFO] Epoch:16, Snapshot: 293; Loss: 0.5721
+[2024-06-11 22:44:57,264 INFO] Epoch:16, Snapshot: 294; Loss: 0.6259
+[2024-06-11 22:44:58,125 INFO] Epoch:16, Snapshot: 295; Loss: 0.5720
+[2024-06-11 22:44:58,999 INFO] Epoch:16, Snapshot: 296; Loss: 0.5272
+[2024-06-11 22:44:59,892 INFO] Epoch:16, Snapshot: 297; Loss: 0.5348
+[2024-06-11 22:45:00,783 INFO] Epoch:16, Snapshot: 298; Loss: 0.5350
+[2024-06-11 22:45:01,688 INFO] Epoch:16, Snapshot: 299; Loss: 0.5090
+[2024-06-11 22:45:02,548 INFO] Epoch:16, Snapshot: 300; Loss: 0.5058
+[2024-06-11 22:45:03,409 INFO] Epoch:16, Snapshot: 301; Loss: 0.5498
+[2024-06-11 22:45:04,268 INFO] Epoch:16, Snapshot: 302; Loss: 0.5538
+[2024-06-11 22:45:05,127 INFO] Epoch:16, Snapshot: 303; Loss: 0.5224
+[2024-06-11 22:45:06,003 INFO] Epoch:16, Snapshot: 304; Loss: 0.5059
+[2024-06-11 22:45:06,847 INFO] Epoch:16, Snapshot: 305; Loss: 0.5757
+[2024-06-11 22:45:07,691 INFO] Epoch:16, Snapshot: 306; Loss: 0.5143
+[2024-06-11 22:45:08,536 INFO] Epoch:16, Snapshot: 307; Loss: 0.5371
+[2024-06-11 22:45:09,411 INFO] Epoch:16, Snapshot: 308; Loss: 0.5902
+[2024-06-11 22:45:10,255 INFO] Epoch:16, Snapshot: 309; Loss: 0.5657
+[2024-06-11 22:45:11,117 INFO] Epoch:16, Snapshot: 310; Loss: 0.5042
+[2024-06-11 22:45:12,008 INFO] Epoch:16, Snapshot: 311; Loss: 0.5170
+[2024-06-11 22:45:12,913 INFO] Epoch:16, Snapshot: 312; Loss: 0.5598
+[2024-06-11 22:45:13,806 INFO] Epoch:16, Snapshot: 313; Loss: 0.5679
+[2024-06-11 22:45:14,695 INFO] Epoch:16, Snapshot: 314; Loss: 0.5416
+[2024-06-11 22:45:15,587 INFO] Epoch:16, Snapshot: 315; Loss: 0.5758
+[2024-06-11 22:45:16,461 INFO] Epoch:16, Snapshot: 316; Loss: 0.5739
+[2024-06-11 22:45:17,323 INFO] Epoch:16, Snapshot: 317; Loss: 0.5497
+[2024-06-11 22:50:16,502 INFO] ==========================================================================================
+[2024-06-11 22:50:16,502 INFO] Epoch:16, Loss: 0.5697, Time: 601.362, GPU: 566.0MiB
+[2024-06-11 22:50:16,502 INFO] Epoch:16, Accuracy: 0.9219; F1: 0.9272; Recall: 0.9366; Precision: 0.9245; ROC AUC: 0.9219, Memory: 565.9653, time: 843.2314
+[2024-06-11 22:50:17,623 INFO] Epoch:17, Snapshot: 0; Loss: 0.7107
+[2024-06-11 22:50:19,859 INFO] Epoch:17, Snapshot: 1; Loss: 0.6934
+[2024-06-11 22:50:21,672 INFO] Epoch:17, Snapshot: 2; Loss: 0.6987
+[2024-06-11 22:50:23,956 INFO] Epoch:17, Snapshot: 3; Loss: 0.7472
+[2024-06-11 22:50:25,974 INFO] Epoch:17, Snapshot: 4; Loss: 0.6630
+[2024-06-11 22:50:27,928 INFO] Epoch:17, Snapshot: 5; Loss: 0.6220
+[2024-06-11 22:50:29,913 INFO] Epoch:17, Snapshot: 6; Loss: 0.6475
+[2024-06-11 22:50:31,868 INFO] Epoch:17, Snapshot: 7; Loss: 0.6399
+[2024-06-11 22:50:33,557 INFO] Epoch:17, Snapshot: 8; Loss: 0.6115
+[2024-06-11 22:50:35,260 INFO] Epoch:17, Snapshot: 9; Loss: 0.5833
+[2024-06-11 22:50:36,871 INFO] Epoch:17, Snapshot: 10; Loss: 0.5915
+[2024-06-11 22:50:38,435 INFO] Epoch:17, Snapshot: 11; Loss: 0.5689
+[2024-06-11 22:50:40,109 INFO] Epoch:17, Snapshot: 12; Loss: 0.6067
+[2024-06-11 22:50:42,235 INFO] Epoch:17, Snapshot: 13; Loss: 0.5143
+[2024-06-11 22:50:43,829 INFO] Epoch:17, Snapshot: 14; Loss: 0.6162
+[2024-06-11 22:50:46,096 INFO] Epoch:17, Snapshot: 15; Loss: 0.5650
+[2024-06-11 22:50:48,129 INFO] Epoch:17, Snapshot: 16; Loss: 0.5141
+[2024-06-11 22:50:50,492 INFO] Epoch:17, Snapshot: 17; Loss: 0.5494
+[2024-06-11 22:50:52,304 INFO] Epoch:17, Snapshot: 18; Loss: 0.5261
+[2024-06-11 22:50:54,009 INFO] Epoch:17, Snapshot: 19; Loss: 0.6177
+[2024-06-11 22:50:55,822 INFO] Epoch:17, Snapshot: 20; Loss: 0.6084
+[2024-06-11 22:50:57,042 INFO] Epoch:17, Snapshot: 21; Loss: 0.5574
+[2024-06-11 22:50:58,543 INFO] Epoch:17, Snapshot: 22; Loss: 0.5693
+[2024-06-11 22:50:59,826 INFO] Epoch:17, Snapshot: 23; Loss: 0.5818
+[2024-06-11 22:51:01,702 INFO] Epoch:17, Snapshot: 24; Loss: 0.5383
+[2024-06-11 22:51:03,843 INFO] Epoch:17, Snapshot: 25; Loss: 0.6225
+[2024-06-11 22:51:05,862 INFO] Epoch:17, Snapshot: 26; Loss: 0.5978
+[2024-06-11 22:51:07,941 INFO] Epoch:17, Snapshot: 27; Loss: 0.5246
+[2024-06-11 22:51:10,051 INFO] Epoch:17, Snapshot: 28; Loss: 0.6109
+[2024-06-11 22:51:12,321 INFO] Epoch:17, Snapshot: 29; Loss: 0.5309
+[2024-06-11 22:51:14,290 INFO] Epoch:17, Snapshot: 30; Loss: 0.6596
+[2024-06-11 22:51:15,948 INFO] Epoch:17, Snapshot: 31; Loss: 0.5805
+[2024-06-11 22:51:17,729 INFO] Epoch:17, Snapshot: 32; Loss: 0.5648
+[2024-06-11 22:51:19,325 INFO] Epoch:17, Snapshot: 33; Loss: 0.6552
+[2024-06-11 22:51:20,825 INFO] Epoch:17, Snapshot: 34; Loss: 0.5372
+[2024-06-11 22:51:22,591 INFO] Epoch:17, Snapshot: 35; Loss: 0.6218
+[2024-06-11 22:51:24,983 INFO] Epoch:17, Snapshot: 36; Loss: 0.6013
+[2024-06-11 22:51:26,938 INFO] Epoch:17, Snapshot: 37; Loss: 0.5346
+[2024-06-11 22:51:29,049 INFO] Epoch:17, Snapshot: 38; Loss: 0.5490
+[2024-06-11 22:51:31,254 INFO] Epoch:17, Snapshot: 39; Loss: 0.6179
+[2024-06-11 22:51:33,115 INFO] Epoch:17, Snapshot: 40; Loss: 0.5052
+[2024-06-11 22:51:35,130 INFO] Epoch:17, Snapshot: 41; Loss: 0.6417
+[2024-06-11 22:51:37,008 INFO] Epoch:17, Snapshot: 42; Loss: 0.5528
+[2024-06-11 22:51:38,835 INFO] Epoch:17, Snapshot: 43; Loss: 0.6270
+[2024-06-11 22:51:40,791 INFO] Epoch:17, Snapshot: 44; Loss: 0.6619
+[2024-06-11 22:51:42,416 INFO] Epoch:17, Snapshot: 45; Loss: 0.6462
+[2024-06-11 22:51:44,154 INFO] Epoch:17, Snapshot: 46; Loss: 0.5965
+[2024-06-11 22:51:45,747 INFO] Epoch:17, Snapshot: 47; Loss: 0.6532
+[2024-06-11 22:51:47,701 INFO] Epoch:17, Snapshot: 48; Loss: 0.5388
+[2024-06-11 22:51:49,871 INFO] Epoch:17, Snapshot: 49; Loss: 0.5814
+[2024-06-11 22:51:51,812 INFO] Epoch:17, Snapshot: 50; Loss: 0.5005
+[2024-06-11 22:51:54,076 INFO] Epoch:17, Snapshot: 51; Loss: 0.5830
+[2024-06-11 22:51:55,859 INFO] Epoch:17, Snapshot: 52; Loss: 0.5677
+[2024-06-11 22:51:57,907 INFO] Epoch:17, Snapshot: 53; Loss: 0.5917
+[2024-06-11 22:51:59,673 INFO] Epoch:17, Snapshot: 54; Loss: 0.5676
+[2024-06-11 22:52:01,613 INFO] Epoch:17, Snapshot: 55; Loss: 0.5333
+[2024-06-11 22:52:03,411 INFO] Epoch:17, Snapshot: 56; Loss: 0.5053
+[2024-06-11 22:52:04,834 INFO] Epoch:17, Snapshot: 57; Loss: 0.6258
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+[2024-06-11 22:52:12,010 INFO] Epoch:17, Snapshot: 61; Loss: 0.6506
+[2024-06-11 22:52:13,825 INFO] Epoch:17, Snapshot: 62; Loss: 0.6619
+[2024-06-11 22:52:15,231 INFO] Epoch:17, Snapshot: 63; Loss: 0.5727
+[2024-06-11 22:52:17,154 INFO] Epoch:17, Snapshot: 64; Loss: 0.4909
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+[2024-06-11 22:52:20,298 INFO] Epoch:17, Snapshot: 66; Loss: 0.6722
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+[2024-06-11 22:52:25,049 INFO] Epoch:17, Snapshot: 69; Loss: 0.6357
+[2024-06-11 22:52:26,456 INFO] Epoch:17, Snapshot: 70; Loss: 0.5089
+[2024-06-11 22:52:28,365 INFO] Epoch:17, Snapshot: 71; Loss: 0.6231
+[2024-06-11 22:52:30,428 INFO] Epoch:17, Snapshot: 72; Loss: 0.5706
+[2024-06-11 22:52:32,665 INFO] Epoch:17, Snapshot: 73; Loss: 0.5780
+[2024-06-11 22:52:34,930 INFO] Epoch:17, Snapshot: 74; Loss: 0.5095
+[2024-06-11 22:52:37,072 INFO] Epoch:17, Snapshot: 75; Loss: 0.6767
+[2024-06-11 22:52:38,822 INFO] Epoch:17, Snapshot: 76; Loss: 0.4571
+[2024-06-11 22:52:40,808 INFO] Epoch:17, Snapshot: 77; Loss: 0.5622
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+[2024-06-11 22:52:48,222 INFO] Epoch:17, Snapshot: 81; Loss: 0.5761
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+[2024-06-11 22:52:52,300 INFO] Epoch:17, Snapshot: 83; Loss: 0.5097
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+[2024-06-11 22:52:56,007 INFO] Epoch:17, Snapshot: 85; Loss: 0.5162
+[2024-06-11 22:52:57,868 INFO] Epoch:17, Snapshot: 86; Loss: 0.5903
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+[2024-06-11 22:53:07,279 INFO] Epoch:17, Snapshot: 91; Loss: 0.5882
+[2024-06-11 22:53:08,875 INFO] Epoch:17, Snapshot: 92; Loss: 0.5384
+[2024-06-11 22:53:10,423 INFO] Epoch:17, Snapshot: 93; Loss: 0.5001
+[2024-06-11 22:53:11,845 INFO] Epoch:17, Snapshot: 94; Loss: 0.6119
+[2024-06-11 22:53:13,675 INFO] Epoch:17, Snapshot: 95; Loss: 0.6280
+[2024-06-11 22:53:15,722 INFO] Epoch:17, Snapshot: 96; Loss: 0.5169
+[2024-06-11 22:53:17,223 INFO] Epoch:17, Snapshot: 97; Loss: 0.6298
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+[2024-06-11 22:53:22,849 INFO] Epoch:17, Snapshot: 100; Loss: 0.6041
+[2024-06-11 22:53:24,868 INFO] Epoch:17, Snapshot: 101; Loss: 0.5931
+[2024-06-11 22:53:26,696 INFO] Epoch:17, Snapshot: 102; Loss: 0.7504
+[2024-06-11 22:53:28,307 INFO] Epoch:17, Snapshot: 103; Loss: 0.4476
+[2024-06-11 22:53:29,809 INFO] Epoch:17, Snapshot: 104; Loss: 0.5686
+[2024-06-11 22:53:31,621 INFO] Epoch:17, Snapshot: 105; Loss: 0.5369
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+[2024-06-11 22:53:34,951 INFO] Epoch:17, Snapshot: 107; Loss: 0.5817
+[2024-06-11 22:53:36,295 INFO] Epoch:17, Snapshot: 108; Loss: 0.4773
+[2024-06-11 22:53:38,451 INFO] Epoch:17, Snapshot: 109; Loss: 0.5971
+[2024-06-11 22:53:40,033 INFO] Epoch:17, Snapshot: 110; Loss: 0.5273
+[2024-06-11 22:53:41,767 INFO] Epoch:17, Snapshot: 111; Loss: 0.5231
+[2024-06-11 22:53:43,691 INFO] Epoch:17, Snapshot: 112; Loss: 0.5684
+[2024-06-11 22:53:45,690 INFO] Epoch:17, Snapshot: 113; Loss: 0.5527
+[2024-06-11 22:53:47,802 INFO] Epoch:17, Snapshot: 114; Loss: 0.5832
+[2024-06-11 22:53:49,587 INFO] Epoch:17, Snapshot: 115; Loss: 0.5125
+[2024-06-11 22:53:51,539 INFO] Epoch:17, Snapshot: 116; Loss: 0.6584
+[2024-06-11 22:53:53,383 INFO] Epoch:17, Snapshot: 117; Loss: 0.6398
+[2024-06-11 22:53:55,261 INFO] Epoch:17, Snapshot: 118; Loss: 0.5087
+[2024-06-11 22:53:56,575 INFO] Epoch:17, Snapshot: 119; Loss: 0.5167
+[2024-06-11 22:53:58,323 INFO] Epoch:17, Snapshot: 120; Loss: 0.5942
+[2024-06-11 22:54:00,277 INFO] Epoch:17, Snapshot: 121; Loss: 0.5571
+[2024-06-11 22:54:02,062 INFO] Epoch:17, Snapshot: 122; Loss: 0.6237
+[2024-06-11 22:54:03,607 INFO] Epoch:17, Snapshot: 123; Loss: 0.5138
+[2024-06-11 22:54:05,798 INFO] Epoch:17, Snapshot: 124; Loss: 0.5704
+[2024-06-11 22:54:07,516 INFO] Epoch:17, Snapshot: 125; Loss: 0.5493
+[2024-06-11 22:54:09,688 INFO] Epoch:17, Snapshot: 126; Loss: 0.6695
+[2024-06-11 22:54:11,220 INFO] Epoch:17, Snapshot: 127; Loss: 0.5383
+[2024-06-11 22:54:13,081 INFO] Epoch:17, Snapshot: 128; Loss: 0.4367
+[2024-06-11 22:54:15,159 INFO] Epoch:17, Snapshot: 129; Loss: 0.5802
+[2024-06-11 22:54:16,817 INFO] Epoch:17, Snapshot: 130; Loss: 0.5979
+[2024-06-11 22:54:18,365 INFO] Epoch:17, Snapshot: 131; Loss: 0.5892
+[2024-06-11 22:54:20,322 INFO] Epoch:17, Snapshot: 132; Loss: 0.5379
+[2024-06-11 22:54:22,383 INFO] Epoch:17, Snapshot: 133; Loss: 0.5036
+[2024-06-11 22:54:24,352 INFO] Epoch:17, Snapshot: 134; Loss: 0.6062
+[2024-06-11 22:54:26,419 INFO] Epoch:17, Snapshot: 135; Loss: 0.5646
+[2024-06-11 22:54:28,246 INFO] Epoch:17, Snapshot: 136; Loss: 0.4592
+[2024-06-11 22:54:30,171 INFO] Epoch:17, Snapshot: 137; Loss: 0.5605
+[2024-06-11 22:54:32,036 INFO] Epoch:17, Snapshot: 138; Loss: 0.5125
+[2024-06-11 22:54:33,626 INFO] Epoch:17, Snapshot: 139; Loss: 0.6041
+[2024-06-11 22:54:35,206 INFO] Epoch:17, Snapshot: 140; Loss: 0.6377
+[2024-06-11 22:54:37,099 INFO] Epoch:17, Snapshot: 141; Loss: 0.5423
+[2024-06-11 22:54:38,804 INFO] Epoch:17, Snapshot: 142; Loss: 0.5130
+[2024-06-11 22:54:40,451 INFO] Epoch:17, Snapshot: 143; Loss: 0.5246
+[2024-06-11 22:54:42,022 INFO] Epoch:17, Snapshot: 144; Loss: 0.6266
+[2024-06-11 22:54:44,038 INFO] Epoch:17, Snapshot: 145; Loss: 0.5884
+[2024-06-11 22:54:46,008 INFO] Epoch:17, Snapshot: 146; Loss: 0.5421
+[2024-06-11 22:54:47,779 INFO] Epoch:17, Snapshot: 147; Loss: 0.6279
+[2024-06-11 22:54:49,712 INFO] Epoch:17, Snapshot: 148; Loss: 0.4913
+[2024-06-11 22:54:51,859 INFO] Epoch:17, Snapshot: 149; Loss: 0.5772
+[2024-06-11 22:54:53,872 INFO] Epoch:17, Snapshot: 150; Loss: 0.6374
+[2024-06-11 22:54:56,171 INFO] Epoch:17, Snapshot: 151; Loss: 0.4567
+[2024-06-11 22:54:58,093 INFO] Epoch:17, Snapshot: 152; Loss: 0.5319
+[2024-06-11 22:54:59,923 INFO] Epoch:17, Snapshot: 153; Loss: 0.6317
+[2024-06-11 22:55:01,705 INFO] Epoch:17, Snapshot: 154; Loss: 0.4942
+[2024-06-11 22:55:03,332 INFO] Epoch:17, Snapshot: 155; Loss: 0.6246
+[2024-06-11 22:55:04,865 INFO] Epoch:17, Snapshot: 156; Loss: 0.5300
+[2024-06-11 22:55:06,712 INFO] Epoch:17, Snapshot: 157; Loss: 0.5970
+[2024-06-11 22:55:08,414 INFO] Epoch:17, Snapshot: 158; Loss: 0.5711
+[2024-06-11 22:55:10,572 INFO] Epoch:17, Snapshot: 159; Loss: 0.6812
+[2024-06-11 22:55:12,574 INFO] Epoch:17, Snapshot: 160; Loss: 0.4453
+[2024-06-11 22:55:14,637 INFO] Epoch:17, Snapshot: 161; Loss: 0.6225
+[2024-06-11 22:55:16,235 INFO] Epoch:17, Snapshot: 162; Loss: 0.6588
+[2024-06-11 22:55:18,265 INFO] Epoch:17, Snapshot: 163; Loss: 0.5385
+[2024-06-11 22:55:20,141 INFO] Epoch:17, Snapshot: 164; Loss: 0.6190
+[2024-06-11 22:55:21,986 INFO] Epoch:17, Snapshot: 165; Loss: 0.4805
+[2024-06-11 22:55:23,600 INFO] Epoch:17, Snapshot: 166; Loss: 0.5306
+[2024-06-11 22:55:25,161 INFO] Epoch:17, Snapshot: 167; Loss: 0.6103
+[2024-06-11 22:55:26,458 INFO] Epoch:17, Snapshot: 168; Loss: 0.5182
+[2024-06-11 22:55:28,210 INFO] Epoch:17, Snapshot: 169; Loss: 0.5690
+[2024-06-11 22:55:30,290 INFO] Epoch:17, Snapshot: 170; Loss: 0.5339
+[2024-06-11 22:55:32,477 INFO] Epoch:17, Snapshot: 171; Loss: 0.5626
+[2024-06-11 22:55:34,449 INFO] Epoch:17, Snapshot: 172; Loss: 0.5234
+[2024-06-11 22:55:36,640 INFO] Epoch:17, Snapshot: 173; Loss: 0.5461
+[2024-06-11 22:55:38,451 INFO] Epoch:17, Snapshot: 174; Loss: 0.4938
+[2024-06-11 22:55:40,593 INFO] Epoch:17, Snapshot: 175; Loss: 0.6076
+[2024-06-11 22:55:42,486 INFO] Epoch:17, Snapshot: 176; Loss: 0.5244
+[2024-06-11 22:55:43,855 INFO] Epoch:17, Snapshot: 177; Loss: 0.6600
+[2024-06-11 22:55:45,704 INFO] Epoch:17, Snapshot: 178; Loss: 0.4961
+[2024-06-11 22:55:47,488 INFO] Epoch:17, Snapshot: 179; Loss: 0.5154
+[2024-06-11 22:55:49,144 INFO] Epoch:17, Snapshot: 180; Loss: 0.4722
+[2024-06-11 22:55:50,817 INFO] Epoch:17, Snapshot: 181; Loss: 0.5805
+[2024-06-11 22:55:52,788 INFO] Epoch:17, Snapshot: 182; Loss: 0.5556
+[2024-06-11 22:55:54,866 INFO] Epoch:17, Snapshot: 183; Loss: 0.5278
+[2024-06-11 22:55:56,680 INFO] Epoch:17, Snapshot: 184; Loss: 0.5119
+[2024-06-11 22:55:58,775 INFO] Epoch:17, Snapshot: 185; Loss: 0.6197
+[2024-06-11 22:56:00,745 INFO] Epoch:17, Snapshot: 186; Loss: 0.5039
+[2024-06-11 22:56:02,653 INFO] Epoch:17, Snapshot: 187; Loss: 0.4883
+[2024-06-11 22:56:04,606 INFO] Epoch:17, Snapshot: 188; Loss: 0.5227
+[2024-06-11 22:56:06,075 INFO] Epoch:17, Snapshot: 189; Loss: 0.6139
+[2024-06-11 22:56:07,655 INFO] Epoch:17, Snapshot: 190; Loss: 0.5088
+[2024-06-11 22:56:09,204 INFO] Epoch:17, Snapshot: 191; Loss: 0.5627
+[2024-06-11 22:56:10,876 INFO] Epoch:17, Snapshot: 192; Loss: 0.4805
+[2024-06-11 22:56:12,627 INFO] Epoch:17, Snapshot: 193; Loss: 0.5565
+[2024-06-11 22:56:14,472 INFO] Epoch:17, Snapshot: 194; Loss: 0.5276
+[2024-06-11 22:56:16,035 INFO] Epoch:17, Snapshot: 195; Loss: 0.5292
+[2024-06-11 22:56:18,020 INFO] Epoch:17, Snapshot: 196; Loss: 0.5599
+[2024-06-11 22:56:20,069 INFO] Epoch:17, Snapshot: 197; Loss: 0.5116
+[2024-06-11 22:56:21,710 INFO] Epoch:17, Snapshot: 198; Loss: 0.5101
+[2024-06-11 22:56:23,838 INFO] Epoch:17, Snapshot: 199; Loss: 0.6244
+[2024-06-11 22:56:25,559 INFO] Epoch:17, Snapshot: 200; Loss: 0.5128
+[2024-06-11 22:56:27,498 INFO] Epoch:17, Snapshot: 201; Loss: 0.6265
+[2024-06-11 22:56:29,153 INFO] Epoch:17, Snapshot: 202; Loss: 0.4750
+[2024-06-11 22:56:30,827 INFO] Epoch:17, Snapshot: 203; Loss: 0.5396
+[2024-06-11 22:56:32,751 INFO] Epoch:17, Snapshot: 204; Loss: 0.5646
+[2024-06-11 22:56:34,329 INFO] Epoch:17, Snapshot: 205; Loss: 0.5191
+[2024-06-11 22:56:36,001 INFO] Epoch:17, Snapshot: 206; Loss: 0.7073
+[2024-06-11 22:56:37,112 INFO] Epoch:17, Snapshot: 207; Loss: 0.5000
+[2024-06-11 22:56:39,286 INFO] Epoch:17, Snapshot: 208; Loss: 0.4858
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+[2024-06-11 22:56:43,023 INFO] Epoch:17, Snapshot: 210; Loss: 0.6419
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+[2024-06-11 22:56:47,012 INFO] Epoch:17, Snapshot: 212; Loss: 0.4729
+[2024-06-11 22:56:48,808 INFO] Epoch:17, Snapshot: 213; Loss: 0.5025
+[2024-06-11 22:56:50,480 INFO] Epoch:17, Snapshot: 214; Loss: 0.5486
+[2024-06-11 22:56:51,731 INFO] Epoch:17, Snapshot: 215; Loss: 0.6787
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+[2024-06-11 22:56:55,246 INFO] Epoch:17, Snapshot: 217; Loss: 0.5834
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+[2024-06-11 22:57:01,391 INFO] Epoch:17, Snapshot: 221; Loss: 0.6027
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+[2024-06-11 22:57:07,147 INFO] Epoch:17, Snapshot: 224; Loss: 0.4635
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+[2024-06-11 22:57:13,980 INFO] Epoch:17, Snapshot: 228; Loss: 0.4751
+[2024-06-11 22:57:15,621 INFO] Epoch:17, Snapshot: 229; Loss: 0.5416
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+[2024-06-11 22:57:27,646 INFO] Epoch:17, Snapshot: 236; Loss: 0.5045
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+[2024-06-11 22:57:31,252 INFO] Epoch:17, Snapshot: 238; Loss: 0.5269
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+[2024-06-11 22:57:34,819 INFO] Epoch:17, Snapshot: 240; Loss: 0.5227
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+[2024-06-11 22:58:36,236 INFO] Epoch:17, Snapshot: 275; Loss: 0.5768
+[2024-06-11 22:58:38,133 INFO] Epoch:17, Snapshot: 276; Loss: 0.5725
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+[2024-06-11 22:58:57,688 INFO] Epoch:17, Snapshot: 287; Loss: 0.5799
+[2024-06-11 22:58:59,691 INFO] Epoch:17, Snapshot: 288; Loss: 0.5468
+[2024-06-11 22:59:01,410 INFO] Epoch:17, Snapshot: 289; Loss: 0.6037
+[2024-06-11 22:59:03,520 INFO] Epoch:17, Snapshot: 290; Loss: 0.5730
+[2024-06-11 22:59:05,505 INFO] Epoch:17, Snapshot: 291; Loss: 0.5790
+[2024-06-11 22:59:07,585 INFO] Epoch:17, Snapshot: 292; Loss: 0.5926
+[2024-06-11 22:59:09,665 INFO] Epoch:17, Snapshot: 293; Loss: 0.6016
+[2024-06-11 22:59:10,911 INFO] Epoch:17, Snapshot: 294; Loss: 0.5418
+[2024-06-11 22:59:12,137 INFO] Epoch:17, Snapshot: 295; Loss: 0.6580
+[2024-06-11 22:59:13,559 INFO] Epoch:17, Snapshot: 296; Loss: 0.5153
+[2024-06-11 22:59:15,342 INFO] Epoch:17, Snapshot: 297; Loss: 0.5165
+[2024-06-11 22:59:16,718 INFO] Epoch:17, Snapshot: 298; Loss: 0.5407
+[2024-06-11 22:59:18,109 INFO] Epoch:17, Snapshot: 299; Loss: 0.4983
+[2024-06-11 22:59:19,437 INFO] Epoch:17, Snapshot: 300; Loss: 0.5270
+[2024-06-11 22:59:21,157 INFO] Epoch:17, Snapshot: 301; Loss: 0.5359
+[2024-06-11 22:59:23,066 INFO] Epoch:17, Snapshot: 302; Loss: 0.5259
+[2024-06-11 22:59:24,583 INFO] Epoch:17, Snapshot: 303; Loss: 0.5627
+[2024-06-11 22:59:26,130 INFO] Epoch:17, Snapshot: 304; Loss: 0.4773
+[2024-06-11 22:59:27,992 INFO] Epoch:17, Snapshot: 305; Loss: 0.5316
+[2024-06-11 22:59:30,069 INFO] Epoch:17, Snapshot: 306; Loss: 0.5479
+[2024-06-11 22:59:32,036 INFO] Epoch:17, Snapshot: 307; Loss: 0.5804
+[2024-06-11 22:59:33,181 INFO] Epoch:17, Snapshot: 308; Loss: 0.5839
+[2024-06-11 22:59:34,729 INFO] Epoch:17, Snapshot: 309; Loss: 0.5253
+[2024-06-11 22:59:36,258 INFO] Epoch:17, Snapshot: 310; Loss: 0.4941
+[2024-06-11 22:59:37,728 INFO] Epoch:17, Snapshot: 311; Loss: 0.5778
+[2024-06-11 22:59:39,119 INFO] Epoch:17, Snapshot: 312; Loss: 0.5400
+[2024-06-11 22:59:40,650 INFO] Epoch:17, Snapshot: 313; Loss: 0.5118
+[2024-06-11 22:59:42,449 INFO] Epoch:17, Snapshot: 314; Loss: 0.5436
+[2024-06-11 22:59:44,139 INFO] Epoch:17, Snapshot: 315; Loss: 0.6037
+[2024-06-11 22:59:46,264 INFO] Epoch:17, Snapshot: 316; Loss: 0.5082
+[2024-06-11 22:59:47,407 INFO] Epoch:17, Snapshot: 317; Loss: 0.5478
+[2024-06-11 23:05:30,257 INFO] ==========================================================================================
+[2024-06-11 23:05:30,257 INFO] Epoch:17, Loss: 0.5707, Time: 913.755, GPU: 566.0MiB
+[2024-06-11 23:05:30,257 INFO] Epoch:17, Accuracy: 0.9310; F1: 0.9353; Recall: 0.9401; Precision: 0.9363; ROC AUC: 0.9310, Memory: 565.9653, time: 980.6169
+[2024-06-11 23:05:31,260 INFO] Epoch:18, Snapshot: 0; Loss: 0.6458
+[2024-06-11 23:05:32,776 INFO] Epoch:18, Snapshot: 1; Loss: 0.6731
+[2024-06-11 23:05:34,633 INFO] Epoch:18, Snapshot: 2; Loss: 0.6725
+[2024-06-11 23:05:36,384 INFO] Epoch:18, Snapshot: 3; Loss: 0.7190
+[2024-06-11 23:05:38,104 INFO] Epoch:18, Snapshot: 4; Loss: 0.6963
+[2024-06-11 23:05:40,450 INFO] Epoch:18, Snapshot: 5; Loss: 0.6588
+[2024-06-11 23:05:42,373 INFO] Epoch:18, Snapshot: 6; Loss: 0.6281
+[2024-06-11 23:05:44,187 INFO] Epoch:18, Snapshot: 7; Loss: 0.6168
+[2024-06-11 23:05:46,032 INFO] Epoch:18, Snapshot: 8; Loss: 0.6413
+[2024-06-11 23:05:47,302 INFO] Epoch:18, Snapshot: 9; Loss: 0.6092
+[2024-06-11 23:05:48,564 INFO] Epoch:18, Snapshot: 10; Loss: 0.5616
+[2024-06-11 23:05:49,617 INFO] Epoch:18, Snapshot: 11; Loss: 0.6007
+[2024-06-11 23:05:50,659 INFO] Epoch:18, Snapshot: 12; Loss: 0.5754
+[2024-06-11 23:05:51,822 INFO] Epoch:18, Snapshot: 13; Loss: 0.5420
+[2024-06-11 23:05:52,994 INFO] Epoch:18, Snapshot: 14; Loss: 0.5387
+[2024-06-11 23:05:54,148 INFO] Epoch:18, Snapshot: 15; Loss: 0.6148
+[2024-06-11 23:05:55,298 INFO] Epoch:18, Snapshot: 16; Loss: 0.5050
+[2024-06-11 23:05:56,415 INFO] Epoch:18, Snapshot: 17; Loss: 0.5525
+[2024-06-11 23:05:57,510 INFO] Epoch:18, Snapshot: 18; Loss: 0.5379
+[2024-06-11 23:05:58,511 INFO] Epoch:18, Snapshot: 19; Loss: 0.6200
+[2024-06-11 23:05:59,448 INFO] Epoch:18, Snapshot: 20; Loss: 0.5759
+[2024-06-11 23:06:00,433 INFO] Epoch:18, Snapshot: 21; Loss: 0.6146
+[2024-06-11 23:06:01,401 INFO] Epoch:18, Snapshot: 22; Loss: 0.5584
+[2024-06-11 23:06:02,528 INFO] Epoch:18, Snapshot: 23; Loss: 0.5254
+[2024-06-11 23:06:03,558 INFO] Epoch:18, Snapshot: 24; Loss: 0.5544
+[2024-06-11 23:06:04,512 INFO] Epoch:18, Snapshot: 25; Loss: 0.5998
+[2024-06-11 23:06:05,435 INFO] Epoch:18, Snapshot: 26; Loss: 0.5943
+[2024-06-11 23:06:06,407 INFO] Epoch:18, Snapshot: 27; Loss: 0.5725
+[2024-06-11 23:06:07,341 INFO] Epoch:18, Snapshot: 28; Loss: 0.5891
+[2024-06-11 23:06:08,310 INFO] Epoch:18, Snapshot: 29; Loss: 0.5361
+[2024-06-11 23:06:09,294 INFO] Epoch:18, Snapshot: 30; Loss: 0.6623
+[2024-06-11 23:06:10,342 INFO] Epoch:18, Snapshot: 31; Loss: 0.5099
+[2024-06-11 23:06:11,358 INFO] Epoch:18, Snapshot: 32; Loss: 0.6146
+[2024-06-11 23:06:12,392 INFO] Epoch:18, Snapshot: 33; Loss: 0.6983
+[2024-06-11 23:06:13,407 INFO] Epoch:18, Snapshot: 34; Loss: 0.6726
+[2024-06-11 23:06:14,408 INFO] Epoch:18, Snapshot: 35; Loss: 0.5037
+[2024-06-11 23:06:15,471 INFO] Epoch:18, Snapshot: 36; Loss: 0.5318
+[2024-06-11 23:06:16,485 INFO] Epoch:18, Snapshot: 37; Loss: 0.5858
+[2024-06-11 23:06:17,508 INFO] Epoch:18, Snapshot: 38; Loss: 0.6241
+[2024-06-11 23:06:18,536 INFO] Epoch:18, Snapshot: 39; Loss: 0.6015
+[2024-06-11 23:06:19,552 INFO] Epoch:18, Snapshot: 40; Loss: 0.5997
+[2024-06-11 23:06:20,568 INFO] Epoch:18, Snapshot: 41; Loss: 0.5994
+[2024-06-11 23:06:21,616 INFO] Epoch:18, Snapshot: 42; Loss: 0.5467
+[2024-06-11 23:06:22,617 INFO] Epoch:18, Snapshot: 43; Loss: 0.6222
+[2024-06-11 23:06:23,602 INFO] Epoch:18, Snapshot: 44; Loss: 0.5721
+[2024-06-11 23:06:24,587 INFO] Epoch:18, Snapshot: 45; Loss: 0.6388
+[2024-06-11 23:06:25,589 INFO] Epoch:18, Snapshot: 46; Loss: 0.5339
+[2024-06-11 23:06:26,587 INFO] Epoch:18, Snapshot: 47; Loss: 0.6217
+[2024-06-11 23:06:27,556 INFO] Epoch:18, Snapshot: 48; Loss: 0.6337
+[2024-06-11 23:06:28,592 INFO] Epoch:18, Snapshot: 49; Loss: 0.6614
+[2024-06-11 23:06:29,573 INFO] Epoch:18, Snapshot: 50; Loss: 0.5275
+[2024-06-11 23:06:30,589 INFO] Epoch:18, Snapshot: 51; Loss: 0.5730
+[2024-06-11 23:06:31,638 INFO] Epoch:18, Snapshot: 52; Loss: 0.5571
+[2024-06-11 23:06:32,655 INFO] Epoch:18, Snapshot: 53; Loss: 0.5953
+[2024-06-11 23:06:33,624 INFO] Epoch:18, Snapshot: 54; Loss: 0.5932
+[2024-06-11 23:06:34,661 INFO] Epoch:18, Snapshot: 55; Loss: 0.5099
+[2024-06-11 23:06:35,671 INFO] Epoch:18, Snapshot: 56; Loss: 0.5721
+[2024-06-11 23:06:36,704 INFO] Epoch:18, Snapshot: 57; Loss: 0.6642
+[2024-06-11 23:06:37,703 INFO] Epoch:18, Snapshot: 58; Loss: 0.6964
+[2024-06-11 23:06:38,705 INFO] Epoch:18, Snapshot: 59; Loss: 0.5731
+[2024-06-11 23:06:39,754 INFO] Epoch:18, Snapshot: 60; Loss: 0.5462
+[2024-06-11 23:06:40,759 INFO] Epoch:18, Snapshot: 61; Loss: 0.6032
+[2024-06-11 23:06:41,787 INFO] Epoch:18, Snapshot: 62; Loss: 0.5586
+[2024-06-11 23:06:42,769 INFO] Epoch:18, Snapshot: 63; Loss: 0.5663
+[2024-06-11 23:06:43,772 INFO] Epoch:18, Snapshot: 64; Loss: 0.5412
+[2024-06-11 23:06:44,803 INFO] Epoch:18, Snapshot: 65; Loss: 0.5691
+[2024-06-11 23:06:45,772 INFO] Epoch:18, Snapshot: 66; Loss: 0.6123
+[2024-06-11 23:06:46,727 INFO] Epoch:18, Snapshot: 67; Loss: 0.5236
+[2024-06-11 23:06:47,679 INFO] Epoch:18, Snapshot: 68; Loss: 0.6152
+[2024-06-11 23:06:48,663 INFO] Epoch:18, Snapshot: 69; Loss: 0.5490
+[2024-06-11 23:06:49,682 INFO] Epoch:18, Snapshot: 70; Loss: 0.5574
+[2024-06-11 23:06:50,651 INFO] Epoch:18, Snapshot: 71; Loss: 0.6182
+[2024-06-11 23:06:51,618 INFO] Epoch:18, Snapshot: 72; Loss: 0.5372
+[2024-06-11 23:06:52,602 INFO] Epoch:18, Snapshot: 73; Loss: 0.5101
+[2024-06-11 23:06:53,588 INFO] Epoch:18, Snapshot: 74; Loss: 0.5182
+[2024-06-11 23:06:54,573 INFO] Epoch:18, Snapshot: 75; Loss: 0.6841
+[2024-06-11 23:06:55,543 INFO] Epoch:18, Snapshot: 76; Loss: 0.5710
+[2024-06-11 23:06:56,559 INFO] Epoch:18, Snapshot: 77; Loss: 0.5908
+[2024-06-11 23:06:57,543 INFO] Epoch:18, Snapshot: 78; Loss: 0.5131
+[2024-06-11 23:06:58,514 INFO] Epoch:18, Snapshot: 79; Loss: 0.5872
+[2024-06-11 23:06:59,513 INFO] Epoch:18, Snapshot: 80; Loss: 0.6035
+[2024-06-11 23:07:00,516 INFO] Epoch:18, Snapshot: 81; Loss: 0.5387
+[2024-06-11 23:07:01,501 INFO] Epoch:18, Snapshot: 82; Loss: 0.5589
+[2024-06-11 23:07:02,488 INFO] Epoch:18, Snapshot: 83; Loss: 0.5679
+[2024-06-11 23:07:03,518 INFO] Epoch:18, Snapshot: 84; Loss: 0.5290
+[2024-06-11 23:07:04,517 INFO] Epoch:18, Snapshot: 85; Loss: 0.5170
+[2024-06-11 23:07:05,519 INFO] Epoch:18, Snapshot: 86; Loss: 0.5489
+[2024-06-11 23:07:06,534 INFO] Epoch:18, Snapshot: 87; Loss: 0.6142
+[2024-06-11 23:07:07,520 INFO] Epoch:18, Snapshot: 88; Loss: 0.5365
+[2024-06-11 23:07:08,507 INFO] Epoch:18, Snapshot: 89; Loss: 0.5536
+[2024-06-11 23:07:09,474 INFO] Epoch:18, Snapshot: 90; Loss: 0.5863
+[2024-06-11 23:07:10,458 INFO] Epoch:18, Snapshot: 91; Loss: 0.4802
+[2024-06-11 23:07:11,444 INFO] Epoch:18, Snapshot: 92; Loss: 0.4842
+[2024-06-11 23:07:12,445 INFO] Epoch:18, Snapshot: 93; Loss: 0.5639
+[2024-06-11 23:07:13,445 INFO] Epoch:18, Snapshot: 94; Loss: 0.4985
+[2024-06-11 23:07:14,445 INFO] Epoch:18, Snapshot: 95; Loss: 0.5523
+[2024-06-11 23:07:15,463 INFO] Epoch:18, Snapshot: 96; Loss: 0.5440
+[2024-06-11 23:07:16,417 INFO] Epoch:18, Snapshot: 97; Loss: 0.5309
+[2024-06-11 23:07:17,418 INFO] Epoch:18, Snapshot: 98; Loss: 0.4564
+[2024-06-11 23:07:18,402 INFO] Epoch:18, Snapshot: 99; Loss: 0.6747
+[2024-06-11 23:07:19,386 INFO] Epoch:18, Snapshot: 100; Loss: 0.5863
+[2024-06-11 23:07:20,341 INFO] Epoch:18, Snapshot: 101; Loss: 0.6342
+[2024-06-11 23:07:21,340 INFO] Epoch:18, Snapshot: 102; Loss: 0.5465
+[2024-06-11 23:07:22,311 INFO] Epoch:18, Snapshot: 103; Loss: 0.5595
+[2024-06-11 23:07:23,281 INFO] Epoch:18, Snapshot: 104; Loss: 0.5189
+[2024-06-11 23:07:24,251 INFO] Epoch:18, Snapshot: 105; Loss: 0.5354
+[2024-06-11 23:07:25,248 INFO] Epoch:18, Snapshot: 106; Loss: 0.4484
+[2024-06-11 23:07:26,251 INFO] Epoch:18, Snapshot: 107; Loss: 0.4654
+[2024-06-11 23:07:27,235 INFO] Epoch:18, Snapshot: 108; Loss: 0.5701
+[2024-06-11 23:07:28,235 INFO] Epoch:18, Snapshot: 109; Loss: 0.5681
+[2024-06-11 23:07:29,252 INFO] Epoch:18, Snapshot: 110; Loss: 0.5769
+[2024-06-11 23:07:30,270 INFO] Epoch:18, Snapshot: 111; Loss: 0.5297
+[2024-06-11 23:07:31,285 INFO] Epoch:18, Snapshot: 112; Loss: 0.5485
+[2024-06-11 23:07:32,254 INFO] Epoch:18, Snapshot: 113; Loss: 0.5029
+[2024-06-11 23:07:33,255 INFO] Epoch:18, Snapshot: 114; Loss: 0.5691
+[2024-06-11 23:07:34,272 INFO] Epoch:18, Snapshot: 115; Loss: 0.5830
+[2024-06-11 23:07:35,256 INFO] Epoch:18, Snapshot: 116; Loss: 0.6330
+[2024-06-11 23:07:36,240 INFO] Epoch:18, Snapshot: 117; Loss: 0.6125
+[2024-06-11 23:07:37,241 INFO] Epoch:18, Snapshot: 118; Loss: 0.5199
+[2024-06-11 23:07:38,228 INFO] Epoch:18, Snapshot: 119; Loss: 0.5253
+[2024-06-11 23:07:39,228 INFO] Epoch:18, Snapshot: 120; Loss: 0.6436
+[2024-06-11 23:07:40,213 INFO] Epoch:18, Snapshot: 121; Loss: 0.6570
+[2024-06-11 23:07:41,212 INFO] Epoch:18, Snapshot: 122; Loss: 0.5505
+[2024-06-11 23:07:42,201 INFO] Epoch:18, Snapshot: 123; Loss: 0.6401
+[2024-06-11 23:07:43,152 INFO] Epoch:18, Snapshot: 124; Loss: 0.5143
+[2024-06-11 23:07:44,091 INFO] Epoch:18, Snapshot: 125; Loss: 0.5385
+[2024-06-11 23:07:45,090 INFO] Epoch:18, Snapshot: 126; Loss: 0.5276
+[2024-06-11 23:07:46,076 INFO] Epoch:18, Snapshot: 127; Loss: 0.6294
+[2024-06-11 23:07:47,077 INFO] Epoch:18, Snapshot: 128; Loss: 0.4288
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+[2024-06-11 23:07:49,032 INFO] Epoch:18, Snapshot: 130; Loss: 0.5088
+[2024-06-11 23:07:50,049 INFO] Epoch:18, Snapshot: 131; Loss: 0.6024
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+[2024-06-11 23:07:53,035 INFO] Epoch:18, Snapshot: 134; Loss: 0.5746
+[2024-06-11 23:07:54,035 INFO] Epoch:18, Snapshot: 135; Loss: 0.5527
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+[2024-06-11 23:07:56,976 INFO] Epoch:18, Snapshot: 138; Loss: 0.5911
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+[2024-06-11 23:07:59,917 INFO] Epoch:18, Snapshot: 141; Loss: 0.5388
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+[2024-06-11 23:08:06,919 INFO] Epoch:18, Snapshot: 148; Loss: 0.4978
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+[2024-06-11 23:08:09,859 INFO] Epoch:18, Snapshot: 151; Loss: 0.5120
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+[2024-06-11 23:08:12,862 INFO] Epoch:18, Snapshot: 154; Loss: 0.6126
+[2024-06-11 23:08:13,847 INFO] Epoch:18, Snapshot: 155; Loss: 0.6170
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+[2024-06-11 23:08:15,800 INFO] Epoch:18, Snapshot: 157; Loss: 0.5072
+[2024-06-11 23:08:16,738 INFO] Epoch:18, Snapshot: 158; Loss: 0.6296
+[2024-06-11 23:08:17,676 INFO] Epoch:18, Snapshot: 159; Loss: 0.5449
+[2024-06-11 23:08:18,677 INFO] Epoch:18, Snapshot: 160; Loss: 0.5123
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+[2024-06-11 23:08:20,646 INFO] Epoch:18, Snapshot: 162; Loss: 0.6023
+[2024-06-11 23:08:21,615 INFO] Epoch:18, Snapshot: 163; Loss: 0.5962
+[2024-06-11 23:08:22,599 INFO] Epoch:18, Snapshot: 164; Loss: 0.5571
+[2024-06-11 23:08:23,537 INFO] Epoch:18, Snapshot: 165; Loss: 0.5578
+[2024-06-11 23:08:24,492 INFO] Epoch:18, Snapshot: 166; Loss: 0.5535
+[2024-06-11 23:08:25,477 INFO] Epoch:18, Snapshot: 167; Loss: 0.4856
+[2024-06-11 23:08:26,477 INFO] Epoch:18, Snapshot: 168; Loss: 0.5782
+[2024-06-11 23:08:27,461 INFO] Epoch:18, Snapshot: 169; Loss: 0.5375
+[2024-06-11 23:08:28,446 INFO] Epoch:18, Snapshot: 170; Loss: 0.5518
+[2024-06-11 23:08:29,431 INFO] Epoch:18, Snapshot: 171; Loss: 0.5624
+[2024-06-11 23:08:30,419 INFO] Epoch:18, Snapshot: 172; Loss: 0.5710
+[2024-06-11 23:08:31,417 INFO] Epoch:18, Snapshot: 173; Loss: 0.6147
+[2024-06-11 23:08:32,388 INFO] Epoch:18, Snapshot: 174; Loss: 0.4573
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+[2024-06-11 23:08:34,341 INFO] Epoch:18, Snapshot: 176; Loss: 0.4473
+[2024-06-11 23:08:35,280 INFO] Epoch:18, Snapshot: 177; Loss: 0.5898
+[2024-06-11 23:08:36,249 INFO] Epoch:18, Snapshot: 178; Loss: 0.5381
+[2024-06-11 23:08:37,250 INFO] Epoch:18, Snapshot: 179; Loss: 0.4691
+[2024-06-11 23:08:38,250 INFO] Epoch:18, Snapshot: 180; Loss: 0.4480
+[2024-06-11 23:08:39,250 INFO] Epoch:18, Snapshot: 181; Loss: 0.6028
+[2024-06-11 23:08:40,251 INFO] Epoch:18, Snapshot: 182; Loss: 0.5845
+[2024-06-11 23:08:41,207 INFO] Epoch:18, Snapshot: 183; Loss: 0.4688
+[2024-06-11 23:08:42,176 INFO] Epoch:18, Snapshot: 184; Loss: 0.4750
+[2024-06-11 23:08:43,113 INFO] Epoch:18, Snapshot: 185; Loss: 0.6035
+[2024-06-11 23:08:44,066 INFO] Epoch:18, Snapshot: 186; Loss: 0.4768
+[2024-06-11 23:08:45,051 INFO] Epoch:18, Snapshot: 187; Loss: 0.4577
+[2024-06-11 23:08:46,036 INFO] Epoch:18, Snapshot: 188; Loss: 0.5665
+[2024-06-11 23:08:47,022 INFO] Epoch:18, Snapshot: 189; Loss: 0.5349
+[2024-06-11 23:08:48,006 INFO] Epoch:18, Snapshot: 190; Loss: 0.5939
+[2024-06-11 23:08:49,006 INFO] Epoch:18, Snapshot: 191; Loss: 0.5392
+[2024-06-11 23:08:49,990 INFO] Epoch:18, Snapshot: 192; Loss: 0.4721
+[2024-06-11 23:08:50,976 INFO] Epoch:18, Snapshot: 193; Loss: 0.5746
+[2024-06-11 23:08:51,946 INFO] Epoch:18, Snapshot: 194; Loss: 0.5517
+[2024-06-11 23:08:52,915 INFO] Epoch:18, Snapshot: 195; Loss: 0.6074
+[2024-06-11 23:08:53,898 INFO] Epoch:18, Snapshot: 196; Loss: 0.5198
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+[2024-06-11 23:10:14,029 INFO] Epoch:18, Snapshot: 280; Loss: 0.5676
+[2024-06-11 23:10:14,934 INFO] Epoch:18, Snapshot: 281; Loss: 0.5925
+[2024-06-11 23:10:15,857 INFO] Epoch:18, Snapshot: 282; Loss: 0.5632
+[2024-06-11 23:10:16,778 INFO] Epoch:18, Snapshot: 283; Loss: 0.5399
+[2024-06-11 23:10:17,670 INFO] Epoch:18, Snapshot: 284; Loss: 0.5995
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+[2024-06-11 23:10:19,469 INFO] Epoch:18, Snapshot: 286; Loss: 0.5656
+[2024-06-11 23:10:20,392 INFO] Epoch:18, Snapshot: 287; Loss: 0.5467
+[2024-06-11 23:10:21,333 INFO] Epoch:18, Snapshot: 288; Loss: 0.5727
+[2024-06-11 23:10:22,236 INFO] Epoch:18, Snapshot: 289; Loss: 0.5572
+[2024-06-11 23:10:23,129 INFO] Epoch:18, Snapshot: 290; Loss: 0.5989
+[2024-06-11 23:10:24,021 INFO] Epoch:18, Snapshot: 291; Loss: 0.5875
+[2024-06-11 23:10:24,909 INFO] Epoch:18, Snapshot: 292; Loss: 0.5863
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+[2024-06-11 23:10:26,754 INFO] Epoch:18, Snapshot: 294; Loss: 0.5434
+[2024-06-11 23:10:27,661 INFO] Epoch:18, Snapshot: 295; Loss: 0.5846
+[2024-06-11 23:10:28,538 INFO] Epoch:18, Snapshot: 296; Loss: 0.5354
+[2024-06-11 23:10:29,397 INFO] Epoch:18, Snapshot: 297; Loss: 0.5240
+[2024-06-11 23:10:30,289 INFO] Epoch:18, Snapshot: 298; Loss: 0.5617
+[2024-06-11 23:10:31,197 INFO] Epoch:18, Snapshot: 299; Loss: 0.4953
+[2024-06-11 23:10:32,135 INFO] Epoch:18, Snapshot: 300; Loss: 0.4977
+[2024-06-11 23:10:33,025 INFO] Epoch:18, Snapshot: 301; Loss: 0.5712
+[2024-06-11 23:10:33,949 INFO] Epoch:18, Snapshot: 302; Loss: 0.5792
+[2024-06-11 23:10:34,824 INFO] Epoch:18, Snapshot: 303; Loss: 0.5452
+[2024-06-11 23:10:35,703 INFO] Epoch:18, Snapshot: 304; Loss: 0.5136
+[2024-06-11 23:10:36,589 INFO] Epoch:18, Snapshot: 305; Loss: 0.5442
+[2024-06-11 23:10:37,513 INFO] Epoch:18, Snapshot: 306; Loss: 0.5330
+[2024-06-11 23:10:38,418 INFO] Epoch:18, Snapshot: 307; Loss: 0.5231
+[2024-06-11 23:10:39,327 INFO] Epoch:18, Snapshot: 308; Loss: 0.5610
+[2024-06-11 23:10:40,217 INFO] Epoch:18, Snapshot: 309; Loss: 0.5417
+[2024-06-11 23:10:41,109 INFO] Epoch:18, Snapshot: 310; Loss: 0.5048
+[2024-06-11 23:10:42,015 INFO] Epoch:18, Snapshot: 311; Loss: 0.6424
+[2024-06-11 23:10:42,922 INFO] Epoch:18, Snapshot: 312; Loss: 0.4965
+[2024-06-11 23:10:43,782 INFO] Epoch:18, Snapshot: 313; Loss: 0.5490
+[2024-06-11 23:10:44,657 INFO] Epoch:18, Snapshot: 314; Loss: 0.5579
+[2024-06-11 23:10:45,578 INFO] Epoch:18, Snapshot: 315; Loss: 0.5483
+[2024-06-11 23:10:46,508 INFO] Epoch:18, Snapshot: 316; Loss: 0.5415
+[2024-06-11 23:10:47,410 INFO] Epoch:18, Snapshot: 317; Loss: 0.6384
+[2024-06-11 23:15:38,620 INFO] ==========================================================================================
+[2024-06-11 23:15:38,620 INFO] Epoch:18, Loss: 0.5700, Time: 608.363, GPU: 566.0MiB
+[2024-06-11 23:15:38,620 INFO] Epoch:18, Accuracy: 0.9364; F1: 0.9389; Recall: 0.9306; Precision: 0.9523; ROC AUC: 0.9365, Memory: 565.9653, time: 817.8140
+[2024-06-11 23:15:39,590 INFO] Epoch:19, Snapshot: 0; Loss: 0.7508
+[2024-06-11 23:15:40,788 INFO] Epoch:19, Snapshot: 1; Loss: 0.7932
+[2024-06-11 23:15:41,933 INFO] Epoch:19, Snapshot: 2; Loss: 0.7388
+[2024-06-11 23:15:43,077 INFO] Epoch:19, Snapshot: 3; Loss: 0.6784
+[2024-06-11 23:15:44,185 INFO] Epoch:19, Snapshot: 4; Loss: 0.6709
+[2024-06-11 23:15:45,343 INFO] Epoch:19, Snapshot: 5; Loss: 0.6199
+[2024-06-11 23:15:46,437 INFO] Epoch:19, Snapshot: 6; Loss: 0.6493
+[2024-06-11 23:15:47,610 INFO] Epoch:19, Snapshot: 7; Loss: 0.6132
+[2024-06-11 23:15:48,749 INFO] Epoch:19, Snapshot: 8; Loss: 0.6267
+[2024-06-11 23:15:49,860 INFO] Epoch:19, Snapshot: 9; Loss: 0.5908
+[2024-06-11 23:15:50,880 INFO] Epoch:19, Snapshot: 10; Loss: 0.6010
+[2024-06-11 23:15:51,880 INFO] Epoch:19, Snapshot: 11; Loss: 0.6253
+[2024-06-11 23:15:53,018 INFO] Epoch:19, Snapshot: 12; Loss: 0.5739
+[2024-06-11 23:15:54,159 INFO] Epoch:19, Snapshot: 13; Loss: 0.5546
+[2024-06-11 23:15:55,305 INFO] Epoch:19, Snapshot: 14; Loss: 0.5890
+[2024-06-11 23:15:56,476 INFO] Epoch:19, Snapshot: 15; Loss: 0.5605
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+[2024-06-11 23:16:01,946 INFO] Epoch:19, Snapshot: 20; Loss: 0.6147
+[2024-06-11 23:16:02,948 INFO] Epoch:19, Snapshot: 21; Loss: 0.6326
+[2024-06-11 23:16:03,902 INFO] Epoch:19, Snapshot: 22; Loss: 0.6341
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+[2024-06-11 23:16:07,828 INFO] Epoch:19, Snapshot: 26; Loss: 0.5948
+[2024-06-11 23:16:08,812 INFO] Epoch:19, Snapshot: 27; Loss: 0.5258
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+[2024-06-11 23:16:14,834 INFO] Epoch:19, Snapshot: 33; Loss: 0.6492
+[2024-06-11 23:16:15,866 INFO] Epoch:19, Snapshot: 34; Loss: 0.6067
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+[2024-06-11 23:16:17,945 INFO] Epoch:19, Snapshot: 36; Loss: 0.6203
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+[2024-06-11 23:16:21,992 INFO] Epoch:19, Snapshot: 40; Loss: 0.5930
+[2024-06-11 23:16:23,009 INFO] Epoch:19, Snapshot: 41; Loss: 0.6083
+[2024-06-11 23:16:24,040 INFO] Epoch:19, Snapshot: 42; Loss: 0.5425
+[2024-06-11 23:16:25,059 INFO] Epoch:19, Snapshot: 43; Loss: 0.4829
+[2024-06-11 23:16:26,080 INFO] Epoch:19, Snapshot: 44; Loss: 0.6635
+[2024-06-11 23:16:27,108 INFO] Epoch:19, Snapshot: 45; Loss: 0.5653
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+[2024-06-11 23:16:29,121 INFO] Epoch:19, Snapshot: 47; Loss: 0.6443
+[2024-06-11 23:16:30,123 INFO] Epoch:19, Snapshot: 48; Loss: 0.6236
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+[2024-06-11 23:16:36,327 INFO] Epoch:19, Snapshot: 54; Loss: 0.5843
+[2024-06-11 23:16:37,343 INFO] Epoch:19, Snapshot: 55; Loss: 0.4861
+[2024-06-11 23:16:38,375 INFO] Epoch:19, Snapshot: 56; Loss: 0.5161
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+[2024-06-11 23:16:40,408 INFO] Epoch:19, Snapshot: 58; Loss: 0.6701
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+[2024-06-11 23:16:42,520 INFO] Epoch:19, Snapshot: 60; Loss: 0.5356
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+[2024-06-11 23:16:46,585 INFO] Epoch:19, Snapshot: 64; Loss: 0.5747
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+[2024-06-11 23:17:27,283 INFO] Epoch:19, Snapshot: 105; Loss: 0.5496
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+[2024-06-11 23:20:22,745 INFO] Epoch:19, Snapshot: 286; Loss: 0.5350
+[2024-06-11 23:20:23,649 INFO] Epoch:19, Snapshot: 287; Loss: 0.5862
+[2024-06-11 23:20:24,588 INFO] Epoch:19, Snapshot: 288; Loss: 0.5568
+[2024-06-11 23:20:25,557 INFO] Epoch:19, Snapshot: 289; Loss: 0.5534
+[2024-06-11 23:20:26,464 INFO] Epoch:19, Snapshot: 290; Loss: 0.5618
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+[2024-06-11 23:20:31,921 INFO] Epoch:19, Snapshot: 296; Loss: 0.5165
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+[2024-06-11 23:20:33,672 INFO] Epoch:19, Snapshot: 298; Loss: 0.5774
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+[2024-06-11 23:20:36,406 INFO] Epoch:19, Snapshot: 301; Loss: 0.5256
+[2024-06-11 23:20:37,299 INFO] Epoch:19, Snapshot: 302; Loss: 0.5496
+[2024-06-11 23:20:38,188 INFO] Epoch:19, Snapshot: 303; Loss: 0.5524
+[2024-06-11 23:20:39,079 INFO] Epoch:19, Snapshot: 304; Loss: 0.4709
+[2024-06-11 23:20:39,987 INFO] Epoch:19, Snapshot: 305; Loss: 0.5243
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+[2024-06-11 23:20:42,739 INFO] Epoch:19, Snapshot: 308; Loss: 0.5510
+[2024-06-11 23:20:43,660 INFO] Epoch:19, Snapshot: 309; Loss: 0.5614
+[2024-06-11 23:20:44,568 INFO] Epoch:19, Snapshot: 310; Loss: 0.4678
+[2024-06-11 23:20:45,473 INFO] Epoch:19, Snapshot: 311; Loss: 0.5385
+[2024-06-11 23:20:46,398 INFO] Epoch:19, Snapshot: 312; Loss: 0.5402
+[2024-06-11 23:20:47,321 INFO] Epoch:19, Snapshot: 313; Loss: 0.5948
+[2024-06-11 23:20:48,211 INFO] Epoch:19, Snapshot: 314; Loss: 0.5238
+[2024-06-11 23:20:49,118 INFO] Epoch:19, Snapshot: 315; Loss: 0.6222
+[2024-06-11 23:20:50,043 INFO] Epoch:19, Snapshot: 316; Loss: 0.5133
+[2024-06-11 23:20:50,962 INFO] Epoch:19, Snapshot: 317; Loss: 0.5304
+[2024-06-11 23:25:43,442 INFO] ==========================================================================================
+[2024-06-11 23:25:43,442 INFO] Epoch:19, Loss: 0.5693, Time: 604.822, GPU: 566.0MiB
+[2024-06-11 23:25:43,442 INFO] Epoch:19, Accuracy: 0.9245; F1: 0.9301; Recall: 0.9416; Precision: 0.9252; ROC AUC: 0.9245, Memory: 565.9653, time: 822.1804
+[2024-06-11 23:25:44,577 INFO] Epoch:20, Snapshot: 0; Loss: 0.6580
+[2024-06-11 23:25:45,687 INFO] Epoch:20, Snapshot: 1; Loss: 0.7147
+[2024-06-11 23:25:46,812 INFO] Epoch:20, Snapshot: 2; Loss: 0.6899
+[2024-06-11 23:25:47,969 INFO] Epoch:20, Snapshot: 3; Loss: 0.6859
+[2024-06-11 23:25:49,064 INFO] Epoch:20, Snapshot: 4; Loss: 0.6650
+[2024-06-11 23:25:50,188 INFO] Epoch:20, Snapshot: 5; Loss: 0.6993
+[2024-06-11 23:25:51,299 INFO] Epoch:20, Snapshot: 6; Loss: 0.7459
+[2024-06-11 23:25:52,426 INFO] Epoch:20, Snapshot: 7; Loss: 0.6925
+[2024-06-11 23:25:53,567 INFO] Epoch:20, Snapshot: 8; Loss: 0.5950
+[2024-06-11 23:25:54,691 INFO] Epoch:20, Snapshot: 9; Loss: 0.5621
+[2024-06-11 23:25:55,787 INFO] Epoch:20, Snapshot: 10; Loss: 0.6263
+[2024-06-11 23:25:56,849 INFO] Epoch:20, Snapshot: 11; Loss: 0.5570
+[2024-06-11 23:25:57,975 INFO] Epoch:20, Snapshot: 12; Loss: 0.6797
+[2024-06-11 23:25:59,098 INFO] Epoch:20, Snapshot: 13; Loss: 0.4953
+[2024-06-11 23:26:00,209 INFO] Epoch:20, Snapshot: 14; Loss: 0.5833
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+[2024-06-11 23:26:02,475 INFO] Epoch:20, Snapshot: 16; Loss: 0.5807
+[2024-06-11 23:26:03,617 INFO] Epoch:20, Snapshot: 17; Loss: 0.5319
+[2024-06-11 23:26:04,744 INFO] Epoch:20, Snapshot: 18; Loss: 0.5545
+[2024-06-11 23:26:05,743 INFO] Epoch:20, Snapshot: 19; Loss: 0.5808
+[2024-06-11 23:26:06,696 INFO] Epoch:20, Snapshot: 20; Loss: 0.5772
+[2024-06-11 23:26:07,680 INFO] Epoch:20, Snapshot: 21; Loss: 0.5607
+[2024-06-11 23:26:08,666 INFO] Epoch:20, Snapshot: 22; Loss: 0.5495
+[2024-06-11 23:26:09,619 INFO] Epoch:20, Snapshot: 23; Loss: 0.5905
+[2024-06-11 23:26:10,572 INFO] Epoch:20, Snapshot: 24; Loss: 0.5465
+[2024-06-11 23:26:11,541 INFO] Epoch:20, Snapshot: 25; Loss: 0.5784
+[2024-06-11 23:26:12,525 INFO] Epoch:20, Snapshot: 26; Loss: 0.7646
+[2024-06-11 23:26:13,495 INFO] Epoch:20, Snapshot: 27; Loss: 0.4760
+[2024-06-11 23:26:14,480 INFO] Epoch:20, Snapshot: 28; Loss: 0.5943
+[2024-06-11 23:26:15,482 INFO] Epoch:20, Snapshot: 29; Loss: 0.5790
+[2024-06-11 23:26:16,466 INFO] Epoch:20, Snapshot: 30; Loss: 0.6552
+[2024-06-11 23:26:17,481 INFO] Epoch:20, Snapshot: 31; Loss: 0.5493
+[2024-06-11 23:26:18,545 INFO] Epoch:20, Snapshot: 32; Loss: 0.5450
+[2024-06-11 23:26:19,592 INFO] Epoch:20, Snapshot: 33; Loss: 0.6141
+[2024-06-11 23:26:20,608 INFO] Epoch:20, Snapshot: 34; Loss: 0.5788
+[2024-06-11 23:26:21,611 INFO] Epoch:20, Snapshot: 35; Loss: 0.6310
+[2024-06-11 23:26:22,642 INFO] Epoch:20, Snapshot: 36; Loss: 0.5311
+[2024-06-11 23:26:23,661 INFO] Epoch:20, Snapshot: 37; Loss: 0.6355
+[2024-06-11 23:26:24,705 INFO] Epoch:20, Snapshot: 38; Loss: 0.6423
+[2024-06-11 23:26:25,705 INFO] Epoch:20, Snapshot: 39; Loss: 0.5972
+[2024-06-11 23:26:26,754 INFO] Epoch:20, Snapshot: 40; Loss: 0.6058
+[2024-06-11 23:26:27,785 INFO] Epoch:20, Snapshot: 41; Loss: 0.6314
+[2024-06-11 23:26:28,786 INFO] Epoch:20, Snapshot: 42; Loss: 0.6245
+[2024-06-11 23:26:29,785 INFO] Epoch:20, Snapshot: 43; Loss: 0.5238
+[2024-06-11 23:26:30,812 INFO] Epoch:20, Snapshot: 44; Loss: 0.5843
+[2024-06-11 23:26:31,788 INFO] Epoch:20, Snapshot: 45; Loss: 0.6084
+[2024-06-11 23:26:32,757 INFO] Epoch:20, Snapshot: 46; Loss: 0.6159
+[2024-06-11 23:26:33,789 INFO] Epoch:20, Snapshot: 47; Loss: 0.6450
+[2024-06-11 23:26:34,743 INFO] Epoch:20, Snapshot: 48; Loss: 0.5071
+[2024-06-11 23:26:35,758 INFO] Epoch:20, Snapshot: 49; Loss: 0.6241
+[2024-06-11 23:26:36,790 INFO] Epoch:20, Snapshot: 50; Loss: 0.5643
+[2024-06-11 23:26:37,822 INFO] Epoch:20, Snapshot: 51; Loss: 0.5475
+[2024-06-11 23:26:38,870 INFO] Epoch:20, Snapshot: 52; Loss: 0.5546
+[2024-06-11 23:26:39,948 INFO] Epoch:20, Snapshot: 53; Loss: 0.5068
+[2024-06-11 23:26:40,980 INFO] Epoch:20, Snapshot: 54; Loss: 0.6122
+[2024-06-11 23:26:42,029 INFO] Epoch:20, Snapshot: 55; Loss: 0.5535
+[2024-06-11 23:26:43,045 INFO] Epoch:20, Snapshot: 56; Loss: 0.5334
+[2024-06-11 23:26:44,078 INFO] Epoch:20, Snapshot: 57; Loss: 0.6039
+[2024-06-11 23:26:45,095 INFO] Epoch:20, Snapshot: 58; Loss: 0.6745
+[2024-06-11 23:26:46,126 INFO] Epoch:20, Snapshot: 59; Loss: 0.5672
+[2024-06-11 23:26:47,143 INFO] Epoch:20, Snapshot: 60; Loss: 0.5534
+[2024-06-11 23:26:48,143 INFO] Epoch:20, Snapshot: 61; Loss: 0.5504
+[2024-06-11 23:26:49,174 INFO] Epoch:20, Snapshot: 62; Loss: 0.5611
+[2024-06-11 23:26:50,206 INFO] Epoch:20, Snapshot: 63; Loss: 0.5560
+[2024-06-11 23:26:51,191 INFO] Epoch:20, Snapshot: 64; Loss: 0.5080
+[2024-06-11 23:26:52,176 INFO] Epoch:20, Snapshot: 65; Loss: 0.5122
+[2024-06-11 23:26:53,145 INFO] Epoch:20, Snapshot: 66; Loss: 0.6488
+[2024-06-11 23:26:54,130 INFO] Epoch:20, Snapshot: 67; Loss: 0.5834
+[2024-06-11 23:26:55,099 INFO] Epoch:20, Snapshot: 68; Loss: 0.5480
+[2024-06-11 23:26:56,085 INFO] Epoch:20, Snapshot: 69; Loss: 0.6304
+[2024-06-11 23:26:57,100 INFO] Epoch:20, Snapshot: 70; Loss: 0.5232
+[2024-06-11 23:26:58,070 INFO] Epoch:20, Snapshot: 71; Loss: 0.6280
+[2024-06-11 23:26:59,055 INFO] Epoch:20, Snapshot: 72; Loss: 0.5045
+[2024-06-11 23:27:00,055 INFO] Epoch:20, Snapshot: 73; Loss: 0.5696
+[2024-06-11 23:27:01,070 INFO] Epoch:20, Snapshot: 74; Loss: 0.4952
+[2024-06-11 23:27:02,103 INFO] Epoch:20, Snapshot: 75; Loss: 0.6021
+[2024-06-11 23:27:03,100 INFO] Epoch:20, Snapshot: 76; Loss: 0.4965
+[2024-06-11 23:27:04,073 INFO] Epoch:20, Snapshot: 77; Loss: 0.6416
+[2024-06-11 23:27:05,061 INFO] Epoch:20, Snapshot: 78; Loss: 0.4734
+[2024-06-11 23:27:06,060 INFO] Epoch:20, Snapshot: 79; Loss: 0.5368
+[2024-06-11 23:27:07,045 INFO] Epoch:20, Snapshot: 80; Loss: 0.5423
+[2024-06-11 23:27:08,046 INFO] Epoch:20, Snapshot: 81; Loss: 0.5343
+[2024-06-11 23:27:09,063 INFO] Epoch:20, Snapshot: 82; Loss: 0.5690
+[2024-06-11 23:27:10,064 INFO] Epoch:20, Snapshot: 83; Loss: 0.5209
+[2024-06-11 23:27:11,082 INFO] Epoch:20, Snapshot: 84; Loss: 0.5322
+[2024-06-11 23:27:12,065 INFO] Epoch:20, Snapshot: 85; Loss: 0.6216
+[2024-06-11 23:27:13,050 INFO] Epoch:20, Snapshot: 86; Loss: 0.5352
+[2024-06-11 23:27:14,067 INFO] Epoch:20, Snapshot: 87; Loss: 0.6332
+[2024-06-11 23:27:15,051 INFO] Epoch:20, Snapshot: 88; Loss: 0.6504
+[2024-06-11 23:27:16,048 INFO] Epoch:20, Snapshot: 89; Loss: 0.5151
+[2024-06-11 23:27:17,027 INFO] Epoch:20, Snapshot: 90; Loss: 0.6765
+[2024-06-11 23:27:18,037 INFO] Epoch:20, Snapshot: 91; Loss: 0.4777
+[2024-06-11 23:27:19,053 INFO] Epoch:20, Snapshot: 92; Loss: 0.5011
+[2024-06-11 23:27:20,070 INFO] Epoch:20, Snapshot: 93; Loss: 0.5788
+[2024-06-11 23:27:21,072 INFO] Epoch:20, Snapshot: 94; Loss: 0.5488
+[2024-06-11 23:27:22,073 INFO] Epoch:20, Snapshot: 95; Loss: 0.4667
+[2024-06-11 23:27:23,073 INFO] Epoch:20, Snapshot: 96; Loss: 0.6013
+[2024-06-11 23:27:24,074 INFO] Epoch:20, Snapshot: 97; Loss: 0.5236
+[2024-06-11 23:27:25,058 INFO] Epoch:20, Snapshot: 98; Loss: 0.5763
+[2024-06-11 23:27:26,058 INFO] Epoch:20, Snapshot: 99; Loss: 0.5341
+[2024-06-11 23:27:27,042 INFO] Epoch:20, Snapshot: 100; Loss: 0.5379
+[2024-06-11 23:27:28,027 INFO] Epoch:20, Snapshot: 101; Loss: 0.5867
+[2024-06-11 23:27:29,034 INFO] Epoch:20, Snapshot: 102; Loss: 0.5564
+[2024-06-11 23:27:30,030 INFO] Epoch:20, Snapshot: 103; Loss: 0.5606
+[2024-06-11 23:27:31,002 INFO] Epoch:20, Snapshot: 104; Loss: 0.5317
+[2024-06-11 23:27:31,983 INFO] Epoch:20, Snapshot: 105; Loss: 0.5537
+[2024-06-11 23:27:32,921 INFO] Epoch:20, Snapshot: 106; Loss: 0.4480
+[2024-06-11 23:27:33,922 INFO] Epoch:20, Snapshot: 107; Loss: 0.5061
+[2024-06-11 23:27:34,922 INFO] Epoch:20, Snapshot: 108; Loss: 0.5714
+[2024-06-11 23:27:35,924 INFO] Epoch:20, Snapshot: 109; Loss: 0.5264
+[2024-06-11 23:27:36,926 INFO] Epoch:20, Snapshot: 110; Loss: 0.5529
+[2024-06-11 23:27:37,941 INFO] Epoch:20, Snapshot: 111; Loss: 0.5255
+[2024-06-11 23:27:38,911 INFO] Epoch:20, Snapshot: 112; Loss: 0.5505
+[2024-06-11 23:27:39,895 INFO] Epoch:20, Snapshot: 113; Loss: 0.5590
+[2024-06-11 23:27:40,912 INFO] Epoch:20, Snapshot: 114; Loss: 0.5391
+[2024-06-11 23:27:41,910 INFO] Epoch:20, Snapshot: 115; Loss: 0.6842
+[2024-06-11 23:27:42,913 INFO] Epoch:20, Snapshot: 116; Loss: 0.5387
+[2024-06-11 23:27:43,881 INFO] Epoch:20, Snapshot: 117; Loss: 0.6366
+[2024-06-11 23:27:44,898 INFO] Epoch:20, Snapshot: 118; Loss: 0.5011
+[2024-06-11 23:27:45,866 INFO] Epoch:20, Snapshot: 119; Loss: 0.5055
+[2024-06-11 23:27:46,883 INFO] Epoch:20, Snapshot: 120; Loss: 0.7154
+[2024-06-11 23:27:47,883 INFO] Epoch:20, Snapshot: 121; Loss: 0.6033
+[2024-06-11 23:27:48,869 INFO] Epoch:20, Snapshot: 122; Loss: 0.5267
+[2024-06-11 23:27:49,854 INFO] Epoch:20, Snapshot: 123; Loss: 0.4572
+[2024-06-11 23:27:50,824 INFO] Epoch:20, Snapshot: 124; Loss: 0.5860
+[2024-06-11 23:27:51,794 INFO] Epoch:20, Snapshot: 125; Loss: 0.5022
+[2024-06-11 23:27:52,823 INFO] Epoch:20, Snapshot: 126; Loss: 0.5379
+[2024-06-11 23:27:53,828 INFO] Epoch:20, Snapshot: 127; Loss: 0.6513
+[2024-06-11 23:27:54,824 INFO] Epoch:20, Snapshot: 128; Loss: 0.4168
+[2024-06-11 23:27:55,808 INFO] Epoch:20, Snapshot: 129; Loss: 0.5752
+[2024-06-11 23:27:56,826 INFO] Epoch:20, Snapshot: 130; Loss: 0.6005
+[2024-06-11 23:27:57,827 INFO] Epoch:20, Snapshot: 131; Loss: 0.5005
+[2024-06-11 23:27:58,827 INFO] Epoch:20, Snapshot: 132; Loss: 0.5677
+[2024-06-11 23:27:59,859 INFO] Epoch:20, Snapshot: 133; Loss: 0.4530
+[2024-06-11 23:28:00,844 INFO] Epoch:20, Snapshot: 134; Loss: 0.5564
+[2024-06-11 23:28:01,829 INFO] Epoch:20, Snapshot: 135; Loss: 0.6202
+[2024-06-11 23:28:02,876 INFO] Epoch:20, Snapshot: 136; Loss: 0.4683
+[2024-06-11 23:28:03,862 INFO] Epoch:20, Snapshot: 137; Loss: 0.5236
+[2024-06-11 23:28:04,829 INFO] Epoch:20, Snapshot: 138; Loss: 0.5290
+[2024-06-11 23:28:05,800 INFO] Epoch:20, Snapshot: 139; Loss: 0.6585
+[2024-06-11 23:28:06,814 INFO] Epoch:20, Snapshot: 140; Loss: 0.6257
+[2024-06-11 23:28:07,785 INFO] Epoch:20, Snapshot: 141; Loss: 0.5904
+[2024-06-11 23:28:08,769 INFO] Epoch:20, Snapshot: 142; Loss: 0.5511
+[2024-06-11 23:28:09,740 INFO] Epoch:20, Snapshot: 143; Loss: 0.6007
+[2024-06-11 23:28:10,709 INFO] Epoch:20, Snapshot: 144; Loss: 0.5636
+[2024-06-11 23:28:11,694 INFO] Epoch:20, Snapshot: 145; Loss: 0.5820
+[2024-06-11 23:28:12,695 INFO] Epoch:20, Snapshot: 146; Loss: 0.6049
+[2024-06-11 23:28:13,681 INFO] Epoch:20, Snapshot: 147; Loss: 0.5457
+[2024-06-11 23:28:14,666 INFO] Epoch:20, Snapshot: 148; Loss: 0.4595
+[2024-06-11 23:28:15,651 INFO] Epoch:20, Snapshot: 149; Loss: 0.5624
+[2024-06-11 23:28:16,653 INFO] Epoch:20, Snapshot: 150; Loss: 0.5628
+[2024-06-11 23:28:17,639 INFO] Epoch:20, Snapshot: 151; Loss: 0.5751
+[2024-06-11 23:28:18,639 INFO] Epoch:20, Snapshot: 152; Loss: 0.5372
+[2024-06-11 23:28:19,656 INFO] Epoch:20, Snapshot: 153; Loss: 0.5022
+[2024-06-11 23:28:20,656 INFO] Epoch:20, Snapshot: 154; Loss: 0.6369
+[2024-06-11 23:28:21,655 INFO] Epoch:20, Snapshot: 155; Loss: 0.5138
+[2024-06-11 23:28:22,641 INFO] Epoch:20, Snapshot: 156; Loss: 0.6061
+[2024-06-11 23:28:23,641 INFO] Epoch:20, Snapshot: 157; Loss: 0.6697
+[2024-06-11 23:28:24,610 INFO] Epoch:20, Snapshot: 158; Loss: 0.4772
+[2024-06-11 23:28:25,563 INFO] Epoch:20, Snapshot: 159; Loss: 0.5865
+[2024-06-11 23:28:26,502 INFO] Epoch:20, Snapshot: 160; Loss: 0.5634
+[2024-06-11 23:28:27,446 INFO] Epoch:20, Snapshot: 161; Loss: 0.5703
+[2024-06-11 23:28:28,427 INFO] Epoch:20, Snapshot: 162; Loss: 0.6364
+[2024-06-11 23:28:29,427 INFO] Epoch:20, Snapshot: 163; Loss: 0.6227
+[2024-06-11 23:28:30,430 INFO] Epoch:20, Snapshot: 164; Loss: 0.5253
+[2024-06-11 23:28:31,429 INFO] Epoch:20, Snapshot: 165; Loss: 0.5430
+[2024-06-11 23:28:32,415 INFO] Epoch:20, Snapshot: 166; Loss: 0.5408
+[2024-06-11 23:28:33,460 INFO] Epoch:20, Snapshot: 167; Loss: 0.6182
+[2024-06-11 23:28:34,446 INFO] Epoch:20, Snapshot: 168; Loss: 0.5740
+[2024-06-11 23:28:35,429 INFO] Epoch:20, Snapshot: 169; Loss: 0.6403
+[2024-06-11 23:28:36,400 INFO] Epoch:20, Snapshot: 170; Loss: 0.4957
+[2024-06-11 23:28:37,385 INFO] Epoch:20, Snapshot: 171; Loss: 0.5430
+[2024-06-11 23:28:38,401 INFO] Epoch:20, Snapshot: 172; Loss: 0.5639
+[2024-06-11 23:28:39,370 INFO] Epoch:20, Snapshot: 173; Loss: 0.5174
+[2024-06-11 23:28:40,349 INFO] Epoch:20, Snapshot: 174; Loss: 0.5375
+[2024-06-11 23:28:41,294 INFO] Epoch:20, Snapshot: 175; Loss: 0.5409
+[2024-06-11 23:28:42,295 INFO] Epoch:20, Snapshot: 176; Loss: 0.5383
+[2024-06-11 23:28:43,263 INFO] Epoch:20, Snapshot: 177; Loss: 0.5786
+[2024-06-11 23:28:44,217 INFO] Epoch:20, Snapshot: 178; Loss: 0.5025
+[2024-06-11 23:28:45,235 INFO] Epoch:20, Snapshot: 179; Loss: 0.5360
+[2024-06-11 23:28:46,219 INFO] Epoch:20, Snapshot: 180; Loss: 0.4766
+[2024-06-11 23:28:47,219 INFO] Epoch:20, Snapshot: 181; Loss: 0.5828
+[2024-06-11 23:28:48,219 INFO] Epoch:20, Snapshot: 182; Loss: 0.5596
+[2024-06-11 23:28:49,189 INFO] Epoch:20, Snapshot: 183; Loss: 0.4877
+[2024-06-11 23:28:50,190 INFO] Epoch:20, Snapshot: 184; Loss: 0.5204
+[2024-06-11 23:28:51,158 INFO] Epoch:20, Snapshot: 185; Loss: 0.5391
+[2024-06-11 23:28:52,113 INFO] Epoch:20, Snapshot: 186; Loss: 0.5041
+[2024-06-11 23:28:53,067 INFO] Epoch:20, Snapshot: 187; Loss: 0.4476
+[2024-06-11 23:28:54,067 INFO] Epoch:20, Snapshot: 188; Loss: 0.5696
+[2024-06-11 23:28:55,036 INFO] Epoch:20, Snapshot: 189; Loss: 0.4743
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+[2024-06-11 23:28:57,055 INFO] Epoch:20, Snapshot: 191; Loss: 0.5776
+[2024-06-11 23:28:58,023 INFO] Epoch:20, Snapshot: 192; Loss: 0.5291
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+[2024-06-11 23:29:34,438 INFO] Epoch:20, Snapshot: 229; Loss: 0.5194
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+[2024-06-11 23:29:46,148 INFO] Epoch:20, Snapshot: 241; Loss: 0.5014
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+[2024-06-11 23:29:48,104 INFO] Epoch:20, Snapshot: 243; Loss: 0.5457
+[2024-06-11 23:29:49,057 INFO] Epoch:20, Snapshot: 244; Loss: 0.4627
+[2024-06-11 23:29:50,025 INFO] Epoch:20, Snapshot: 245; Loss: 0.5491
+[2024-06-11 23:29:51,025 INFO] Epoch:20, Snapshot: 246; Loss: 0.5710
+[2024-06-11 23:29:52,011 INFO] Epoch:20, Snapshot: 247; Loss: 0.5265
+[2024-06-11 23:29:52,996 INFO] Epoch:20, Snapshot: 248; Loss: 0.5568
+[2024-06-11 23:29:54,011 INFO] Epoch:20, Snapshot: 249; Loss: 0.5836
+[2024-06-11 23:29:54,981 INFO] Epoch:20, Snapshot: 250; Loss: 0.5706
+[2024-06-11 23:29:55,966 INFO] Epoch:20, Snapshot: 251; Loss: 0.5024
+[2024-06-11 23:29:56,840 INFO] Epoch:20, Snapshot: 252; Loss: 0.7470
+[2024-06-11 23:29:57,731 INFO] Epoch:20, Snapshot: 253; Loss: 0.7842
+[2024-06-11 23:29:58,637 INFO] Epoch:20, Snapshot: 254; Loss: 0.6603
+[2024-06-11 23:29:59,575 INFO] Epoch:20, Snapshot: 255; Loss: 0.6178
+[2024-06-11 23:30:00,578 INFO] Epoch:20, Snapshot: 256; Loss: 0.7495
+[2024-06-11 23:30:01,562 INFO] Epoch:20, Snapshot: 257; Loss: 0.6350
+[2024-06-11 23:30:02,532 INFO] Epoch:20, Snapshot: 258; Loss: 0.6445
+[2024-06-11 23:30:03,408 INFO] Epoch:20, Snapshot: 259; Loss: 0.7321
+[2024-06-11 23:30:04,267 INFO] Epoch:20, Snapshot: 260; Loss: 0.7808
+[2024-06-11 23:30:05,175 INFO] Epoch:20, Snapshot: 261; Loss: 0.7856
+[2024-06-11 23:30:06,066 INFO] Epoch:20, Snapshot: 262; Loss: 0.6900
+[2024-06-11 23:30:06,972 INFO] Epoch:20, Snapshot: 263; Loss: 0.6990
+[2024-06-11 23:30:07,865 INFO] Epoch:20, Snapshot: 264; Loss: 0.6981
+[2024-06-11 23:30:08,756 INFO] Epoch:20, Snapshot: 265; Loss: 0.6558
+[2024-06-11 23:30:09,677 INFO] Epoch:20, Snapshot: 266; Loss: 0.6524
+[2024-06-11 23:30:10,585 INFO] Epoch:20, Snapshot: 267; Loss: 0.6283
+[2024-06-11 23:30:11,523 INFO] Epoch:20, Snapshot: 268; Loss: 0.6056
+[2024-06-11 23:30:12,444 INFO] Epoch:20, Snapshot: 269; Loss: 0.6194
+[2024-06-11 23:30:13,353 INFO] Epoch:20, Snapshot: 270; Loss: 0.5760
+[2024-06-11 23:30:14,260 INFO] Epoch:20, Snapshot: 271; Loss: 0.6019
+[2024-06-11 23:30:15,180 INFO] Epoch:20, Snapshot: 272; Loss: 0.5986
+[2024-06-11 23:30:16,102 INFO] Epoch:20, Snapshot: 273; Loss: 0.5768
+[2024-06-11 23:30:17,011 INFO] Epoch:20, Snapshot: 274; Loss: 0.5797
+[2024-06-11 23:30:17,917 INFO] Epoch:20, Snapshot: 275; Loss: 0.5893
+[2024-06-11 23:30:18,792 INFO] Epoch:20, Snapshot: 276; Loss: 0.5929
+[2024-06-11 23:30:19,700 INFO] Epoch:20, Snapshot: 277; Loss: 0.5861
+[2024-06-11 23:30:20,606 INFO] Epoch:20, Snapshot: 278; Loss: 0.5522
+[2024-06-11 23:30:21,529 INFO] Epoch:20, Snapshot: 279; Loss: 0.5963
+[2024-06-11 23:30:22,438 INFO] Epoch:20, Snapshot: 280; Loss: 0.5346
+[2024-06-11 23:30:23,343 INFO] Epoch:20, Snapshot: 281; Loss: 0.5418
+[2024-06-11 23:30:24,249 INFO] Epoch:20, Snapshot: 282; Loss: 0.6338
+[2024-06-11 23:30:25,157 INFO] Epoch:20, Snapshot: 283; Loss: 0.5235
+[2024-06-11 23:30:26,080 INFO] Epoch:20, Snapshot: 284; Loss: 0.5380
+[2024-06-11 23:30:27,003 INFO] Epoch:20, Snapshot: 285; Loss: 0.6276
+[2024-06-11 23:30:27,924 INFO] Epoch:20, Snapshot: 286; Loss: 0.5144
+[2024-06-11 23:30:28,815 INFO] Epoch:20, Snapshot: 287; Loss: 0.5475
+[2024-06-11 23:30:29,724 INFO] Epoch:20, Snapshot: 288; Loss: 0.5572
+[2024-06-11 23:30:30,645 INFO] Epoch:20, Snapshot: 289; Loss: 0.5598
+[2024-06-11 23:30:31,554 INFO] Epoch:20, Snapshot: 290; Loss: 0.5600
+[2024-06-11 23:30:32,444 INFO] Epoch:20, Snapshot: 291; Loss: 0.5810
+[2024-06-11 23:30:33,352 INFO] Epoch:20, Snapshot: 292; Loss: 0.6315
+[2024-06-11 23:30:34,274 INFO] Epoch:20, Snapshot: 293; Loss: 0.5378
+[2024-06-11 23:30:35,213 INFO] Epoch:20, Snapshot: 294; Loss: 0.5434
+[2024-06-11 23:30:36,134 INFO] Epoch:20, Snapshot: 295; Loss: 0.5992
+[2024-06-11 23:30:37,024 INFO] Epoch:20, Snapshot: 296; Loss: 0.5337
+[2024-06-11 23:30:37,917 INFO] Epoch:20, Snapshot: 297; Loss: 0.5123
+[2024-06-11 23:30:38,825 INFO] Epoch:20, Snapshot: 298; Loss: 0.6005
+[2024-06-11 23:30:39,762 INFO] Epoch:20, Snapshot: 299; Loss: 0.5023
+[2024-06-11 23:30:40,669 INFO] Epoch:20, Snapshot: 300; Loss: 0.5183
+[2024-06-11 23:30:41,578 INFO] Epoch:20, Snapshot: 301; Loss: 0.5618
+[2024-06-11 23:30:42,481 INFO] Epoch:20, Snapshot: 302; Loss: 0.5028
+[2024-06-11 23:30:43,404 INFO] Epoch:20, Snapshot: 303; Loss: 0.5122
+[2024-06-11 23:30:44,327 INFO] Epoch:20, Snapshot: 304; Loss: 0.4902
+[2024-06-11 23:30:45,203 INFO] Epoch:20, Snapshot: 305; Loss: 0.5404
+[2024-06-11 23:30:46,092 INFO] Epoch:20, Snapshot: 306; Loss: 0.5476
+[2024-06-11 23:30:46,999 INFO] Epoch:20, Snapshot: 307; Loss: 0.5492
+[2024-06-11 23:30:47,923 INFO] Epoch:20, Snapshot: 308; Loss: 0.5584
+[2024-06-11 23:30:48,799 INFO] Epoch:20, Snapshot: 309; Loss: 0.5672
+[2024-06-11 23:30:49,675 INFO] Epoch:20, Snapshot: 310; Loss: 0.5478
+[2024-06-11 23:30:50,599 INFO] Epoch:20, Snapshot: 311; Loss: 0.5113
+[2024-06-11 23:30:51,519 INFO] Epoch:20, Snapshot: 312; Loss: 0.5513
+[2024-06-11 23:30:52,442 INFO] Epoch:20, Snapshot: 313; Loss: 0.5463
+[2024-06-11 23:30:53,318 INFO] Epoch:20, Snapshot: 314; Loss: 0.5277
+[2024-06-11 23:30:54,225 INFO] Epoch:20, Snapshot: 315; Loss: 0.5663
+[2024-06-11 23:30:55,100 INFO] Epoch:20, Snapshot: 316; Loss: 0.5684
+[2024-06-11 23:30:55,989 INFO] Epoch:20, Snapshot: 317; Loss: 0.5534
+[2024-06-11 23:35:45,424 INFO] ==========================================================================================
+[2024-06-11 23:35:45,424 INFO] Epoch:20, Loss: 0.5678, Time: 601.982, GPU: 566.0MiB
+[2024-06-11 23:35:45,424 INFO] Epoch:20, Accuracy: 0.9403; F1: 0.9424; Recall: 0.9323; Precision: 0.9576; ROC AUC: 0.9403, Memory: 565.9653, time: 812.7491
+[2024-06-11 23:35:45,424 INFO] ==========================================================================================
+[2024-06-11 23:35:45,424 INFO] Total time: 11899.930
+[2024-06-12 01:48:56,396 INFO] fixed random seed
+[2024-06-12 01:48:58,241 INFO] Epoch:1, Snapshot: 0; Loss: 1.4442
+[2024-06-12 01:48:59,803 INFO] Epoch:1, Snapshot: 1; Loss: 0.9726
+[2024-06-12 01:49:01,490 INFO] Epoch:1, Snapshot: 2; Loss: 0.8029
+[2024-06-12 01:49:03,274 INFO] Epoch:1, Snapshot: 3; Loss: 0.9101
+[2024-06-12 01:49:05,213 INFO] Epoch:1, Snapshot: 4; Loss: 0.9199
+[2024-06-12 01:49:07,073 INFO] Epoch:1, Snapshot: 5; Loss: 0.8101
+[2024-06-12 01:49:09,075 INFO] Epoch:1, Snapshot: 6; Loss: 0.9143
+[2024-06-12 01:49:11,060 INFO] Epoch:1, Snapshot: 7; Loss: 0.9289
+[2024-06-12 01:49:12,952 INFO] Epoch:1, Snapshot: 8; Loss: 0.8172
+[2024-06-12 01:49:15,000 INFO] Epoch:1, Snapshot: 9; Loss: 0.8112
+[2024-06-12 01:49:16,860 INFO] Epoch:1, Snapshot: 10; Loss: 0.7957
+[2024-06-12 01:49:18,878 INFO] Epoch:1, Snapshot: 11; Loss: 0.7971
+[2024-06-12 01:49:20,682 INFO] Epoch:1, Snapshot: 12; Loss: 0.7841
+[2024-06-12 01:49:22,412 INFO] Epoch:1, Snapshot: 13; Loss: 0.8554
+[2024-06-12 01:49:24,160 INFO] Epoch:1, Snapshot: 14; Loss: 0.8571
+[2024-06-12 01:49:25,804 INFO] Epoch:1, Snapshot: 15; Loss: 1.0418
+[2024-06-12 01:49:27,349 INFO] Epoch:1, Snapshot: 16; Loss: 1.1389
+[2024-06-12 01:49:29,214 INFO] Epoch:1, Snapshot: 17; Loss: 0.8923
+[2024-06-12 01:49:31,025 INFO] Epoch:1, Snapshot: 18; Loss: 0.8823
+[2024-06-12 01:50:00,264 INFO] ==========================================================================================
+[2024-06-12 01:50:00,264 INFO] Epoch:1, Loss: 0.9145, Time: 63.868, GPU: 1217.0MiB
+[2024-06-12 01:50:00,264 INFO] Epoch:1, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1825.4014, time: 552.7791
+[2024-06-12 01:50:02,186 INFO] Epoch:2, Snapshot: 0; Loss: 1.6697
+[2024-06-12 01:50:03,766 INFO] Epoch:2, Snapshot: 1; Loss: 0.7919
+[2024-06-12 01:50:05,486 INFO] Epoch:2, Snapshot: 2; Loss: 0.7737
+[2024-06-12 01:50:07,329 INFO] Epoch:2, Snapshot: 3; Loss: 0.8372
+[2024-06-12 01:50:09,285 INFO] Epoch:2, Snapshot: 4; Loss: 0.8465
+[2024-06-12 01:50:11,223 INFO] Epoch:2, Snapshot: 5; Loss: 0.7807
+[2024-06-12 01:50:13,039 INFO] Epoch:2, Snapshot: 6; Loss: 0.8758
+[2024-06-12 01:50:15,055 INFO] Epoch:2, Snapshot: 7; Loss: 0.8898
+[2024-06-12 01:50:17,009 INFO] Epoch:2, Snapshot: 8; Loss: 0.8513
+[2024-06-12 01:50:18,885 INFO] Epoch:2, Snapshot: 9; Loss: 0.8461
+[2024-06-12 01:50:20,855 INFO] Epoch:2, Snapshot: 10; Loss: 0.9595
+[2024-06-12 01:50:22,809 INFO] Epoch:2, Snapshot: 11; Loss: 0.7380
+[2024-06-12 01:50:24,466 INFO] Epoch:2, Snapshot: 12; Loss: 0.9494
+[2024-06-12 01:50:26,264 INFO] Epoch:2, Snapshot: 13; Loss: 0.7521
+[2024-06-12 01:50:28,094 INFO] Epoch:2, Snapshot: 14; Loss: 1.1144
+[2024-06-12 01:50:29,704 INFO] Epoch:2, Snapshot: 15; Loss: 1.1529
+[2024-06-12 01:50:31,251 INFO] Epoch:2, Snapshot: 16; Loss: 0.7670
+[2024-06-12 01:50:33,096 INFO] Epoch:2, Snapshot: 17; Loss: 0.8444
+[2024-06-12 01:50:34,971 INFO] Epoch:2, Snapshot: 18; Loss: 0.8537
+[2024-06-12 01:51:04,509 INFO] ==========================================================================================
+[2024-06-12 01:51:04,509 INFO] Epoch:2, Loss: 0.9102, Time: 64.245, GPU: 1885.5MiB
+[2024-06-12 01:51:04,509 INFO] Epoch:2, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1885.4851, time: 567.7390
+[2024-06-12 01:51:06,198 INFO] Epoch:3, Snapshot: 0; Loss: 1.3106
+[2024-06-12 01:51:07,808 INFO] Epoch:3, Snapshot: 1; Loss: 0.8160
+[2024-06-12 01:51:09,498 INFO] Epoch:3, Snapshot: 2; Loss: 0.7541
+[2024-06-12 01:51:11,360 INFO] Epoch:3, Snapshot: 3; Loss: 0.9038
+[2024-06-12 01:51:13,220 INFO] Epoch:3, Snapshot: 4; Loss: 0.9057
+[2024-06-12 01:51:15,238 INFO] Epoch:3, Snapshot: 5; Loss: 0.7593
+[2024-06-12 01:51:17,176 INFO] Epoch:3, Snapshot: 6; Loss: 0.8448
+[2024-06-12 01:51:19,038 INFO] Epoch:3, Snapshot: 7; Loss: 0.8512
+[2024-06-12 01:51:21,008 INFO] Epoch:3, Snapshot: 8; Loss: 0.7663
+[2024-06-12 01:51:23,009 INFO] Epoch:3, Snapshot: 9; Loss: 0.7631
+[2024-06-12 01:51:24,838 INFO] Epoch:3, Snapshot: 10; Loss: 0.7516
+[2024-06-12 01:51:26,856 INFO] Epoch:3, Snapshot: 11; Loss: 0.7533
+[2024-06-12 01:51:28,638 INFO] Epoch:3, Snapshot: 12; Loss: 0.7811
+[2024-06-12 01:51:30,390 INFO] Epoch:3, Snapshot: 13; Loss: 0.7780
+[2024-06-12 01:51:32,124 INFO] Epoch:3, Snapshot: 14; Loss: 0.8563
+[2024-06-12 01:51:33,785 INFO] Epoch:3, Snapshot: 15; Loss: 0.7547
+[2024-06-12 01:51:35,347 INFO] Epoch:3, Snapshot: 16; Loss: 0.7619
+[2024-06-12 01:51:37,143 INFO] Epoch:3, Snapshot: 17; Loss: 0.8528
+[2024-06-12 01:51:38,864 INFO] Epoch:3, Snapshot: 18; Loss: 0.7362
+[2024-06-12 01:52:07,430 INFO] ==========================================================================================
+[2024-06-12 01:52:07,430 INFO] Epoch:3, Loss: 0.8264, Time: 62.921, GPU: 1885.5MiB
+[2024-06-12 01:52:07,430 INFO] Epoch:3, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1885.6750, time: 514.4077
+[2024-06-12 01:52:09,323 INFO] Epoch:4, Snapshot: 0; Loss: 0.9712
+[2024-06-12 01:52:10,886 INFO] Epoch:4, Snapshot: 1; Loss: 0.8622
+[2024-06-12 01:52:12,605 INFO] Epoch:4, Snapshot: 2; Loss: 0.7625
+[2024-06-12 01:52:14,450 INFO] Epoch:4, Snapshot: 3; Loss: 0.7672
+[2024-06-12 01:52:16,437 INFO] Epoch:4, Snapshot: 4; Loss: 0.7324
+[2024-06-12 01:52:18,346 INFO] Epoch:4, Snapshot: 5; Loss: 0.7448
+[2024-06-12 01:52:20,191 INFO] Epoch:4, Snapshot: 6; Loss: 0.7761
+[2024-06-12 01:52:22,223 INFO] Epoch:4, Snapshot: 7; Loss: 0.7802
+[2024-06-12 01:52:24,209 INFO] Epoch:4, Snapshot: 8; Loss: 0.7510
+[2024-06-12 01:52:26,210 INFO] Epoch:4, Snapshot: 9; Loss: 0.7478
+[2024-06-12 01:52:28,101 INFO] Epoch:4, Snapshot: 10; Loss: 0.7613
+[2024-06-12 01:52:30,010 INFO] Epoch:4, Snapshot: 11; Loss: 0.7656
+[2024-06-12 01:52:31,744 INFO] Epoch:4, Snapshot: 12; Loss: 0.8097
+[2024-06-12 01:52:33,449 INFO] Epoch:4, Snapshot: 13; Loss: 0.8743
+[2024-06-12 01:52:35,293 INFO] Epoch:4, Snapshot: 14; Loss: 0.7915
+[2024-06-12 01:52:36,917 INFO] Epoch:4, Snapshot: 15; Loss: 0.8292
+[2024-06-12 01:52:38,435 INFO] Epoch:4, Snapshot: 16; Loss: 0.8798
+[2024-06-12 01:52:40,279 INFO] Epoch:4, Snapshot: 17; Loss: 0.8127
+[2024-06-12 01:52:42,092 INFO] Epoch:4, Snapshot: 18; Loss: 0.7935
+[2024-06-12 01:53:11,033 INFO] ==========================================================================================
+[2024-06-12 01:53:11,033 INFO] Epoch:4, Loss: 0.8007, Time: 63.604, GPU: 1886.4MiB
+[2024-06-12 01:53:11,033 INFO] Epoch:4, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 518.9553
+[2024-06-12 01:53:12,910 INFO] Epoch:5, Snapshot: 0; Loss: 1.1518
+[2024-06-12 01:53:14,551 INFO] Epoch:5, Snapshot: 1; Loss: 0.7394
+[2024-06-12 01:53:16,318 INFO] Epoch:5, Snapshot: 2; Loss: 0.7462
+[2024-06-12 01:53:18,131 INFO] Epoch:5, Snapshot: 3; Loss: 0.7230
+[2024-06-12 01:53:20,008 INFO] Epoch:5, Snapshot: 4; Loss: 0.7209
+[2024-06-12 01:53:22,009 INFO] Epoch:5, Snapshot: 5; Loss: 0.7315
+[2024-06-12 01:53:23,980 INFO] Epoch:5, Snapshot: 6; Loss: 0.7532
+[2024-06-12 01:53:25,942 INFO] Epoch:5, Snapshot: 7; Loss: 0.7960
+[2024-06-12 01:53:27,786 INFO] Epoch:5, Snapshot: 8; Loss: 0.8153
+[2024-06-12 01:53:29,819 INFO] Epoch:5, Snapshot: 9; Loss: 0.7982
+[2024-06-12 01:53:31,767 INFO] Epoch:5, Snapshot: 10; Loss: 0.7771
+[2024-06-12 01:53:33,722 INFO] Epoch:5, Snapshot: 11; Loss: 0.7283
+[2024-06-12 01:53:35,802 INFO] Epoch:5, Snapshot: 12; Loss: 0.7221
+[2024-06-12 01:53:37,599 INFO] Epoch:5, Snapshot: 13; Loss: 0.7164
+[2024-06-12 01:53:39,558 INFO] Epoch:5, Snapshot: 14; Loss: 0.7256
+[2024-06-12 01:53:41,259 INFO] Epoch:5, Snapshot: 15; Loss: 0.7318
+[2024-06-12 01:53:42,840 INFO] Epoch:5, Snapshot: 16; Loss: 0.7268
+[2024-06-12 01:53:44,606 INFO] Epoch:5, Snapshot: 17; Loss: 0.7192
+[2024-06-12 01:53:46,498 INFO] Epoch:5, Snapshot: 18; Loss: 0.7857
+[2024-06-12 01:54:17,092 INFO] ==========================================================================================
+[2024-06-12 01:54:17,092 INFO] Epoch:5, Loss: 0.7689, Time: 66.058, GPU: 1886.4MiB
+[2024-06-12 01:54:17,092 INFO] Epoch:5, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 578.2641
+[2024-06-12 01:54:19,062 INFO] Epoch:6, Snapshot: 0; Loss: 1.0405
+[2024-06-12 01:54:20,688 INFO] Epoch:6, Snapshot: 1; Loss: 0.7390
+[2024-06-12 01:54:22,533 INFO] Epoch:6, Snapshot: 2; Loss: 0.8216
+[2024-06-12 01:54:24,425 INFO] Epoch:6, Snapshot: 3; Loss: 0.8705
+[2024-06-12 01:54:26,394 INFO] Epoch:6, Snapshot: 4; Loss: 0.8079
+[2024-06-12 01:54:28,334 INFO] Epoch:6, Snapshot: 5; Loss: 0.8188
+[2024-06-12 01:54:30,239 INFO] Epoch:6, Snapshot: 6; Loss: 0.7254
+[2024-06-12 01:54:32,305 INFO] Epoch:6, Snapshot: 7; Loss: 0.7283
+[2024-06-12 01:54:34,335 INFO] Epoch:6, Snapshot: 8; Loss: 0.7286
+[2024-06-12 01:54:36,308 INFO] Epoch:6, Snapshot: 9; Loss: 0.8103
+[2024-06-12 01:54:38,214 INFO] Epoch:6, Snapshot: 10; Loss: 0.8080
+[2024-06-12 01:54:40,279 INFO] Epoch:6, Snapshot: 11; Loss: 0.8077
+[2024-06-12 01:54:42,106 INFO] Epoch:6, Snapshot: 12; Loss: 0.8732
+[2024-06-12 01:54:43,857 INFO] Epoch:6, Snapshot: 13; Loss: 0.7091
+[2024-06-12 01:54:45,812 INFO] Epoch:6, Snapshot: 14; Loss: 0.7771
+[2024-06-12 01:54:47,579 INFO] Epoch:6, Snapshot: 15; Loss: 0.7112
+[2024-06-12 01:54:49,265 INFO] Epoch:6, Snapshot: 16; Loss: 0.7202
+[2024-06-12 01:54:51,153 INFO] Epoch:6, Snapshot: 17; Loss: 0.7742
+[2024-06-12 01:54:53,003 INFO] Epoch:6, Snapshot: 18; Loss: 0.7763
+[2024-06-12 01:55:26,131 INFO] ==========================================================================================
+[2024-06-12 01:55:26,131 INFO] Epoch:6, Loss: 0.7920, Time: 69.039, GPU: 1886.4MiB
+[2024-06-12 01:55:26,131 INFO] Epoch:6, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 703.1415
+[2024-06-12 01:55:28,281 INFO] Epoch:7, Snapshot: 0; Loss: 0.9703
+[2024-06-12 01:55:30,362 INFO] Epoch:7, Snapshot: 1; Loss: 0.7220
+[2024-06-12 01:55:32,283 INFO] Epoch:7, Snapshot: 2; Loss: 0.7129
+[2024-06-12 01:55:34,272 INFO] Epoch:7, Snapshot: 3; Loss: 0.7103
+[2024-06-12 01:55:36,398 INFO] Epoch:7, Snapshot: 4; Loss: 0.7088
+[2024-06-12 01:55:38,529 INFO] Epoch:7, Snapshot: 5; Loss: 0.7991
+[2024-06-12 01:55:41,066 INFO] Epoch:7, Snapshot: 6; Loss: 0.7075
+[2024-06-12 01:55:43,175 INFO] Epoch:7, Snapshot: 7; Loss: 0.8019
+[2024-06-12 01:55:45,465 INFO] Epoch:7, Snapshot: 8; Loss: 0.7216
+[2024-06-12 01:55:47,799 INFO] Epoch:7, Snapshot: 9; Loss: 0.7199
+[2024-06-12 01:55:49,972 INFO] Epoch:7, Snapshot: 10; Loss: 0.7134
+[2024-06-12 01:55:52,234 INFO] Epoch:7, Snapshot: 11; Loss: 0.7149
+[2024-06-12 01:55:54,140 INFO] Epoch:7, Snapshot: 12; Loss: 0.7095
+[2024-06-12 01:55:56,198 INFO] Epoch:7, Snapshot: 13; Loss: 0.7055
+[2024-06-12 01:55:58,323 INFO] Epoch:7, Snapshot: 14; Loss: 0.7027
+[2024-06-12 01:56:00,486 INFO] Epoch:7, Snapshot: 15; Loss: 0.7064
+[2024-06-12 01:56:02,549 INFO] Epoch:7, Snapshot: 16; Loss: 0.7141
+[2024-06-12 01:56:04,921 INFO] Epoch:7, Snapshot: 17; Loss: 0.7081
+[2024-06-12 01:56:06,805 INFO] Epoch:7, Snapshot: 18; Loss: 0.7066
+[2024-06-12 01:56:39,681 INFO] ==========================================================================================
+[2024-06-12 01:56:39,681 INFO] Epoch:7, Loss: 0.7345, Time: 73.550, GPU: 1886.4MiB
+[2024-06-12 01:56:39,681 INFO] Epoch:7, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 689.2278
+[2024-06-12 01:56:41,629 INFO] Epoch:8, Snapshot: 0; Loss: 0.9150
+[2024-06-12 01:56:43,594 INFO] Epoch:8, Snapshot: 1; Loss: 0.7660
+[2024-06-12 01:56:45,565 INFO] Epoch:8, Snapshot: 2; Loss: 0.8322
+[2024-06-12 01:56:47,681 INFO] Epoch:8, Snapshot: 3; Loss: 0.7819
+[2024-06-12 01:56:49,872 INFO] Epoch:8, Snapshot: 4; Loss: 0.7043
+[2024-06-12 01:56:52,231 INFO] Epoch:8, Snapshot: 5; Loss: 0.7781
+[2024-06-12 01:56:54,247 INFO] Epoch:8, Snapshot: 6; Loss: 0.8326
+[2024-06-12 01:56:56,598 INFO] Epoch:8, Snapshot: 7; Loss: 0.7724
+[2024-06-12 01:56:59,260 INFO] Epoch:8, Snapshot: 8; Loss: 0.7166
+[2024-06-12 01:57:01,694 INFO] Epoch:8, Snapshot: 9; Loss: 0.7146
+[2024-06-12 01:57:03,780 INFO] Epoch:8, Snapshot: 10; Loss: 0.7092
+[2024-06-12 01:57:06,037 INFO] Epoch:8, Snapshot: 11; Loss: 0.7103
+[2024-06-12 01:57:08,095 INFO] Epoch:8, Snapshot: 12; Loss: 0.7057
+[2024-06-12 01:57:10,027 INFO] Epoch:8, Snapshot: 13; Loss: 0.7021
+[2024-06-12 01:57:12,403 INFO] Epoch:8, Snapshot: 14; Loss: 0.7712
+[2024-06-12 01:57:14,558 INFO] Epoch:8, Snapshot: 15; Loss: 0.6969
+[2024-06-12 01:57:16,245 INFO] Epoch:8, Snapshot: 16; Loss: 0.7797
+[2024-06-12 01:57:18,393 INFO] Epoch:8, Snapshot: 17; Loss: 0.7098
+[2024-06-12 01:57:20,215 INFO] Epoch:8, Snapshot: 18; Loss: 0.7030
+[2024-06-12 01:57:53,181 INFO] ==========================================================================================
+[2024-06-12 01:57:53,181 INFO] Epoch:8, Loss: 0.7527, Time: 73.500, GPU: 1886.4MiB
+[2024-06-12 01:57:53,181 INFO] Epoch:8, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 723.4554
+[2024-06-12 01:57:55,528 INFO] Epoch:9, Snapshot: 0; Loss: 0.8722
+[2024-06-12 01:57:57,926 INFO] Epoch:9, Snapshot: 1; Loss: 0.7118
+[2024-06-12 01:57:59,972 INFO] Epoch:9, Snapshot: 2; Loss: 0.7090
+[2024-06-12 01:58:02,089 INFO] Epoch:9, Snapshot: 3; Loss: 0.7075
+[2024-06-12 01:58:04,198 INFO] Epoch:9, Snapshot: 4; Loss: 0.7012
+[2024-06-12 01:58:06,448 INFO] Epoch:9, Snapshot: 5; Loss: 0.7977
+[2024-06-12 01:58:08,895 INFO] Epoch:9, Snapshot: 6; Loss: 0.8070
+[2024-06-12 01:58:11,434 INFO] Epoch:9, Snapshot: 7; Loss: 0.7116
+[2024-06-12 01:58:13,690 INFO] Epoch:9, Snapshot: 8; Loss: 0.7739
+[2024-06-12 01:58:16,324 INFO] Epoch:9, Snapshot: 9; Loss: 0.7026
+[2024-06-12 01:58:18,629 INFO] Epoch:9, Snapshot: 10; Loss: 0.7674
+[2024-06-12 01:58:20,855 INFO] Epoch:9, Snapshot: 11; Loss: 0.7642
+[2024-06-12 01:58:23,214 INFO] Epoch:9, Snapshot: 12; Loss: 0.7629
+[2024-06-12 01:58:25,700 INFO] Epoch:9, Snapshot: 13; Loss: 0.6992
+[2024-06-12 01:58:28,479 INFO] Epoch:9, Snapshot: 14; Loss: 0.7077
+[2024-06-12 01:58:30,695 INFO] Epoch:9, Snapshot: 15; Loss: 0.7118
+[2024-06-12 01:58:32,872 INFO] Epoch:9, Snapshot: 16; Loss: 0.7060
+[2024-06-12 01:58:35,245 INFO] Epoch:9, Snapshot: 17; Loss: 0.7013
+[2024-06-12 01:58:37,629 INFO] Epoch:9, Snapshot: 18; Loss: 0.7002
+[2024-06-12 01:59:10,402 INFO] ==========================================================================================
+[2024-06-12 01:59:10,402 INFO] Epoch:9, Loss: 0.7376, Time: 77.221, GPU: 1886.4MiB
+[2024-06-12 01:59:10,402 INFO] Epoch:9, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 702.3187
+[2024-06-12 01:59:12,448 INFO] Epoch:10, Snapshot: 0; Loss: 0.8316
+[2024-06-12 01:59:14,529 INFO] Epoch:10, Snapshot: 1; Loss: 0.7641
+[2024-06-12 01:59:16,606 INFO] Epoch:10, Snapshot: 2; Loss: 0.7646
+[2024-06-12 01:59:18,846 INFO] Epoch:10, Snapshot: 3; Loss: 0.7034
+[2024-06-12 01:59:21,339 INFO] Epoch:10, Snapshot: 4; Loss: 0.6986
+[2024-06-12 01:59:23,580 INFO] Epoch:10, Snapshot: 5; Loss: 0.7046
+[2024-06-12 01:59:25,944 INFO] Epoch:10, Snapshot: 6; Loss: 0.7061
+[2024-06-12 01:59:28,105 INFO] Epoch:10, Snapshot: 7; Loss: 0.7077
+[2024-06-12 01:59:30,230 INFO] Epoch:10, Snapshot: 8; Loss: 0.7082
+[2024-06-12 01:59:32,385 INFO] Epoch:10, Snapshot: 9; Loss: 0.7142
+[2024-06-12 01:59:34,828 INFO] Epoch:10, Snapshot: 10; Loss: 0.7110
+[2024-06-12 01:59:37,370 INFO] Epoch:10, Snapshot: 11; Loss: 0.7436
+[2024-06-12 01:59:39,695 INFO] Epoch:10, Snapshot: 12; Loss: 0.7431
+[2024-06-12 01:59:41,612 INFO] Epoch:10, Snapshot: 13; Loss: 0.6973
+[2024-06-12 01:59:43,528 INFO] Epoch:10, Snapshot: 14; Loss: 0.6949
+[2024-06-12 01:59:45,733 INFO] Epoch:10, Snapshot: 15; Loss: 0.6978
+[2024-06-12 01:59:47,926 INFO] Epoch:10, Snapshot: 16; Loss: 0.7032
+[2024-06-12 01:59:50,275 INFO] Epoch:10, Snapshot: 17; Loss: 0.7550
+[2024-06-12 01:59:52,706 INFO] Epoch:10, Snapshot: 18; Loss: 0.7538
+[2024-06-12 02:00:25,416 INFO] ==========================================================================================
+[2024-06-12 02:00:25,416 INFO] Epoch:10, Loss: 0.7265, Time: 75.015, GPU: 1886.4MiB
+[2024-06-12 02:00:25,416 INFO] Epoch:10, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 698.0445
+[2024-06-12 02:00:27,404 INFO] Epoch:11, Snapshot: 0; Loss: 0.7666
+[2024-06-12 02:00:29,563 INFO] Epoch:11, Snapshot: 1; Loss: 0.7971
+[2024-06-12 02:00:31,722 INFO] Epoch:11, Snapshot: 2; Loss: 0.7564
+[2024-06-12 02:00:34,214 INFO] Epoch:11, Snapshot: 3; Loss: 0.7005
+[2024-06-12 02:00:36,510 INFO] Epoch:11, Snapshot: 4; Loss: 0.7340
+[2024-06-12 02:00:39,322 INFO] Epoch:11, Snapshot: 5; Loss: 0.7398
+[2024-06-12 02:00:41,753 INFO] Epoch:11, Snapshot: 6; Loss: 0.7555
+[2024-06-12 02:00:44,322 INFO] Epoch:11, Snapshot: 7; Loss: 0.7540
+[2024-06-12 02:00:46,831 INFO] Epoch:11, Snapshot: 8; Loss: 0.7393
+[2024-06-12 02:00:49,433 INFO] Epoch:11, Snapshot: 9; Loss: 0.7419
+[2024-06-12 02:00:51,908 INFO] Epoch:11, Snapshot: 10; Loss: 0.7003
+[2024-06-12 02:00:54,535 INFO] Epoch:11, Snapshot: 11; Loss: 0.7053
+[2024-06-12 02:00:56,785 INFO] Epoch:11, Snapshot: 12; Loss: 0.7391
+[2024-06-12 02:00:58,748 INFO] Epoch:11, Snapshot: 13; Loss: 0.7328
+[2024-06-12 02:01:01,266 INFO] Epoch:11, Snapshot: 14; Loss: 0.6938
+[2024-06-12 02:01:03,547 INFO] Epoch:11, Snapshot: 15; Loss: 0.6962
+[2024-06-12 02:01:05,636 INFO] Epoch:11, Snapshot: 16; Loss: 0.7050
+[2024-06-12 02:01:08,213 INFO] Epoch:11, Snapshot: 17; Loss: 0.7204
+[2024-06-12 02:01:10,799 INFO] Epoch:11, Snapshot: 18; Loss: 0.7479
+[2024-06-12 02:01:44,317 INFO] ==========================================================================================
+[2024-06-12 02:01:44,317 INFO] Epoch:11, Loss: 0.7329, Time: 78.901, GPU: 1886.4MiB
+[2024-06-12 02:01:44,317 INFO] Epoch:11, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 739.9066
+[2024-06-12 02:01:46,022 INFO] Epoch:12, Snapshot: 0; Loss: 0.7790
+[2024-06-12 02:01:47,829 INFO] Epoch:12, Snapshot: 1; Loss: 0.7388
+[2024-06-12 02:01:49,853 INFO] Epoch:12, Snapshot: 2; Loss: 0.7371
+[2024-06-12 02:01:52,244 INFO] Epoch:12, Snapshot: 3; Loss: 0.7303
+[2024-06-12 02:01:54,563 INFO] Epoch:12, Snapshot: 4; Loss: 0.7295
+[2024-06-12 02:01:56,940 INFO] Epoch:12, Snapshot: 5; Loss: 0.7477
+[2024-06-12 02:02:15,197 INFO] fixed random seed
+[2024-06-12 02:02:17,143 INFO] Epoch:1, Snapshot: 0; Loss: 1.5557
+[2024-06-12 02:02:18,815 INFO] Epoch:1, Snapshot: 1; Loss: 0.8717
+[2024-06-12 02:02:20,510 INFO] Epoch:1, Snapshot: 2; Loss: 0.7068
+[2024-06-12 02:02:22,292 INFO] Epoch:1, Snapshot: 3; Loss: 0.7046
+[2024-06-12 02:02:24,244 INFO] Epoch:1, Snapshot: 4; Loss: 0.7188
+[2024-06-12 02:02:26,112 INFO] Epoch:1, Snapshot: 5; Loss: 0.7098
+[2024-06-12 02:02:27,943 INFO] Epoch:1, Snapshot: 6; Loss: 0.7092
+[2024-06-12 02:02:29,847 INFO] Epoch:1, Snapshot: 7; Loss: 0.7179
+[2024-06-12 02:02:31,878 INFO] Epoch:1, Snapshot: 8; Loss: 0.7053
+[2024-06-12 02:02:33,893 INFO] Epoch:1, Snapshot: 9; Loss: 0.7030
+[2024-06-12 02:02:35,784 INFO] Epoch:1, Snapshot: 10; Loss: 0.6981
+[2024-06-12 02:02:37,702 INFO] Epoch:1, Snapshot: 11; Loss: 0.6979
+[2024-06-12 02:02:39,463 INFO] Epoch:1, Snapshot: 12; Loss: 0.6953
+[2024-06-12 02:02:41,337 INFO] Epoch:1, Snapshot: 13; Loss: 0.6971
+[2024-06-12 02:02:43,081 INFO] Epoch:1, Snapshot: 14; Loss: 0.7008
+[2024-06-12 02:02:44,815 INFO] Epoch:1, Snapshot: 15; Loss: 0.7929
+[2024-06-12 02:02:46,369 INFO] Epoch:1, Snapshot: 16; Loss: 1.2119
+[2024-06-12 02:02:48,065 INFO] Epoch:1, Snapshot: 17; Loss: 1.0803
+[2024-06-12 02:02:49,865 INFO] Epoch:1, Snapshot: 18; Loss: 1.0783
+[2024-06-12 02:03:19,463 INFO] ==========================================================================================
+[2024-06-12 02:03:19,463 INFO] Epoch:1, Loss: 0.8292, Time: 64.266, GPU: 1217.0MiB
+[2024-06-12 02:03:19,463 INFO] Epoch:1, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1825.4014, time: 552.3926
+[2024-06-12 02:03:21,127 INFO] Epoch:2, Snapshot: 0; Loss: 0.8987
+[2024-06-12 02:03:22,655 INFO] Epoch:2, Snapshot: 1; Loss: 0.6946
+[2024-06-12 02:03:24,510 INFO] Epoch:2, Snapshot: 2; Loss: 0.6933
+[2024-06-12 02:03:26,384 INFO] Epoch:2, Snapshot: 3; Loss: 0.6962
+[2024-06-12 02:03:28,306 INFO] Epoch:2, Snapshot: 4; Loss: 0.7018
+[2024-06-12 02:03:30,146 INFO] Epoch:2, Snapshot: 5; Loss: 0.6934
+[2024-06-12 02:03:32,003 INFO] Epoch:2, Snapshot: 6; Loss: 0.9373
+[2024-06-12 02:03:34,003 INFO] Epoch:2, Snapshot: 7; Loss: 0.9072
+[2024-06-12 02:03:35,955 INFO] Epoch:2, Snapshot: 8; Loss: 0.6949
+[2024-06-12 02:03:37,830 INFO] Epoch:2, Snapshot: 9; Loss: 0.6988
+[2024-06-12 02:03:39,784 INFO] Epoch:2, Snapshot: 10; Loss: 0.7549
+[2024-06-12 02:03:41,786 INFO] Epoch:2, Snapshot: 11; Loss: 0.6935
+[2024-06-12 02:03:43,546 INFO] Epoch:2, Snapshot: 12; Loss: 0.7594
+[2024-06-12 02:03:45,257 INFO] Epoch:2, Snapshot: 13; Loss: 0.6931
+[2024-06-12 02:03:47,096 INFO] Epoch:2, Snapshot: 14; Loss: 0.7818
+[2024-06-12 02:03:48,723 INFO] Epoch:2, Snapshot: 15; Loss: 0.7828
+[2024-06-12 02:03:50,226 INFO] Epoch:2, Snapshot: 16; Loss: 0.6935
+[2024-06-12 02:03:52,049 INFO] Epoch:2, Snapshot: 17; Loss: 0.7914
+[2024-06-12 02:03:53,830 INFO] Epoch:2, Snapshot: 18; Loss: 0.7812
+[2024-06-12 02:04:22,142 INFO] ==========================================================================================
+[2024-06-12 02:04:22,142 INFO] Epoch:2, Loss: 0.7552, Time: 62.680, GPU: 1885.5MiB
+[2024-06-12 02:04:22,142 INFO] Epoch:2, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1885.4851, time: 509.6604
+[2024-06-12 02:04:23,845 INFO] Epoch:3, Snapshot: 0; Loss: 0.7697
+[2024-06-12 02:04:25,322 INFO] Epoch:3, Snapshot: 1; Loss: 0.6999
+[2024-06-12 02:04:26,956 INFO] Epoch:3, Snapshot: 2; Loss: 0.6931
+[2024-06-12 02:04:28,632 INFO] Epoch:3, Snapshot: 3; Loss: 0.7335
+[2024-06-12 02:04:30,527 INFO] Epoch:3, Snapshot: 4; Loss: 0.7361
+[2024-06-12 02:04:32,385 INFO] Epoch:3, Snapshot: 5; Loss: 0.6936
+[2024-06-12 02:04:34,369 INFO] Epoch:3, Snapshot: 6; Loss: 0.7306
+[2024-06-12 02:04:36,275 INFO] Epoch:3, Snapshot: 7; Loss: 0.7256
+[2024-06-12 02:04:38,144 INFO] Epoch:3, Snapshot: 8; Loss: 0.6940
+[2024-06-12 02:04:39,939 INFO] Epoch:3, Snapshot: 9; Loss: 0.6938
+[2024-06-12 02:04:41,705 INFO] Epoch:3, Snapshot: 10; Loss: 0.6932
+[2024-06-12 02:04:43,546 INFO] Epoch:3, Snapshot: 11; Loss: 0.6933
+[2024-06-12 02:04:45,324 INFO] Epoch:3, Snapshot: 12; Loss: 0.6950
+[2024-06-12 02:04:47,002 INFO] Epoch:3, Snapshot: 13; Loss: 0.6959
+[2024-06-12 02:04:48,815 INFO] Epoch:3, Snapshot: 14; Loss: 0.7197
+[2024-06-12 02:04:50,403 INFO] Epoch:3, Snapshot: 15; Loss: 0.7374
+[2024-06-12 02:04:51,861 INFO] Epoch:3, Snapshot: 16; Loss: 0.6967
+[2024-06-12 02:04:53,596 INFO] Epoch:3, Snapshot: 17; Loss: 0.6944
+[2024-06-12 02:04:55,244 INFO] Epoch:3, Snapshot: 18; Loss: 0.6927
+[2024-06-12 02:05:24,175 INFO] ==========================================================================================
+[2024-06-12 02:05:24,175 INFO] Epoch:3, Loss: 0.7099, Time: 62.032, GPU: 1885.5MiB
+[2024-06-12 02:05:24,175 INFO] Epoch:3, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1885.6750, time: 549.4872
+[2024-06-12 02:05:25,954 INFO] Epoch:4, Snapshot: 0; Loss: 0.7186
+[2024-06-12 02:05:27,459 INFO] Epoch:4, Snapshot: 1; Loss: 0.6951
+[2024-06-12 02:05:29,150 INFO] Epoch:4, Snapshot: 2; Loss: 0.6950
+[2024-06-12 02:05:30,968 INFO] Epoch:4, Snapshot: 3; Loss: 0.6951
+[2024-06-12 02:05:32,878 INFO] Epoch:4, Snapshot: 4; Loss: 0.6926
+[2024-06-12 02:05:34,689 INFO] Epoch:4, Snapshot: 5; Loss: 0.6934
+[2024-06-12 02:05:36,526 INFO] Epoch:4, Snapshot: 6; Loss: 0.6953
+[2024-06-12 02:05:38,310 INFO] Epoch:4, Snapshot: 7; Loss: 0.6958
+[2024-06-12 02:05:40,127 INFO] Epoch:4, Snapshot: 8; Loss: 0.6939
+[2024-06-12 02:05:42,048 INFO] Epoch:4, Snapshot: 9; Loss: 0.6937
+[2024-06-12 02:05:43,893 INFO] Epoch:4, Snapshot: 10; Loss: 0.6948
+[2024-06-12 02:05:45,722 INFO] Epoch:4, Snapshot: 11; Loss: 0.6951
+[2024-06-12 02:05:47,495 INFO] Epoch:4, Snapshot: 12; Loss: 0.6981
+[2024-06-12 02:05:49,195 INFO] Epoch:4, Snapshot: 13; Loss: 0.7145
+[2024-06-12 02:05:50,999 INFO] Epoch:4, Snapshot: 14; Loss: 0.7090
+[2024-06-12 02:05:52,593 INFO] Epoch:4, Snapshot: 15; Loss: 0.6932
+[2024-06-12 02:05:54,111 INFO] Epoch:4, Snapshot: 16; Loss: 0.6954
+[2024-06-12 02:05:55,798 INFO] Epoch:4, Snapshot: 17; Loss: 0.7088
+[2024-06-12 02:05:57,545 INFO] Epoch:4, Snapshot: 18; Loss: 0.7071
+[2024-06-12 02:06:26,720 INFO] ==========================================================================================
+[2024-06-12 02:06:26,720 INFO] Epoch:4, Loss: 0.6992, Time: 62.545, GPU: 1886.4MiB
+[2024-06-12 02:06:26,720 INFO] Epoch:4, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 558.8104
+[2024-06-12 02:06:28,476 INFO] Epoch:5, Snapshot: 0; Loss: 0.7103
+[2024-06-12 02:06:29,986 INFO] Epoch:5, Snapshot: 1; Loss: 0.6935
+[2024-06-12 02:06:31,736 INFO] Epoch:5, Snapshot: 2; Loss: 0.6942
+[2024-06-12 02:06:33,491 INFO] Epoch:5, Snapshot: 3; Loss: 0.6928
+[2024-06-12 02:06:35,260 INFO] Epoch:5, Snapshot: 4; Loss: 0.6927
+[2024-06-12 02:06:37,178 INFO] Epoch:5, Snapshot: 5; Loss: 0.6932
+[2024-06-12 02:06:39,064 INFO] Epoch:5, Snapshot: 6; Loss: 0.6946
+[2024-06-12 02:06:40,866 INFO] Epoch:5, Snapshot: 7; Loss: 0.7041
+[2024-06-12 02:06:42,704 INFO] Epoch:5, Snapshot: 8; Loss: 0.7048
+[2024-06-12 02:06:44,511 INFO] Epoch:5, Snapshot: 9; Loss: 0.7044
+[2024-06-12 02:06:46,416 INFO] Epoch:5, Snapshot: 10; Loss: 0.7023
+[2024-06-12 02:06:48,385 INFO] Epoch:5, Snapshot: 11; Loss: 0.6932
+[2024-06-12 02:06:50,306 INFO] Epoch:5, Snapshot: 12; Loss: 0.6929
+[2024-06-12 02:06:52,175 INFO] Epoch:5, Snapshot: 13; Loss: 0.6927
+[2024-06-12 02:06:54,212 INFO] Epoch:5, Snapshot: 14; Loss: 0.6935
+[2024-06-12 02:06:55,833 INFO] Epoch:5, Snapshot: 15; Loss: 0.6935
+[2024-06-12 02:06:57,337 INFO] Epoch:5, Snapshot: 16; Loss: 0.6932
+[2024-06-12 02:06:59,274 INFO] Epoch:5, Snapshot: 17; Loss: 0.6928
+[2024-06-12 02:07:01,053 INFO] Epoch:5, Snapshot: 18; Loss: 0.6973
+[2024-06-12 02:07:31,752 INFO] ==========================================================================================
+[2024-06-12 02:07:31,752 INFO] Epoch:5, Loss: 0.6966, Time: 65.032, GPU: 1886.4MiB
+[2024-06-12 02:07:31,752 INFO] Epoch:5, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 586.1423
+[2024-06-12 02:07:33,643 INFO] Epoch:6, Snapshot: 0; Loss: 0.7093
+[2024-06-12 02:07:35,228 INFO] Epoch:6, Snapshot: 1; Loss: 0.6942
+[2024-06-12 02:07:37,127 INFO] Epoch:6, Snapshot: 2; Loss: 0.7024
+[2024-06-12 02:07:38,986 INFO] Epoch:6, Snapshot: 3; Loss: 0.6984
+[2024-06-12 02:07:40,990 INFO] Epoch:6, Snapshot: 4; Loss: 0.6931
+[2024-06-12 02:07:43,033 INFO] Epoch:6, Snapshot: 5; Loss: 0.6938
+[2024-06-12 02:07:44,871 INFO] Epoch:6, Snapshot: 6; Loss: 0.6935
+[2024-06-12 02:07:46,751 INFO] Epoch:6, Snapshot: 7; Loss: 0.6937
+[2024-06-12 02:07:48,844 INFO] Epoch:6, Snapshot: 8; Loss: 0.6938
+[2024-06-12 02:07:50,858 INFO] Epoch:6, Snapshot: 9; Loss: 0.6940
+[2024-06-12 02:07:53,306 INFO] Epoch:6, Snapshot: 10; Loss: 0.6935
+[2024-06-12 02:07:55,385 INFO] Epoch:6, Snapshot: 11; Loss: 0.6936
+[2024-06-12 02:07:57,212 INFO] Epoch:6, Snapshot: 12; Loss: 0.6964
+[2024-06-12 02:07:58,972 INFO] Epoch:6, Snapshot: 13; Loss: 0.6926
+[2024-06-12 02:08:00,897 INFO] Epoch:6, Snapshot: 14; Loss: 0.6956
+[2024-06-12 02:08:02,526 INFO] Epoch:6, Snapshot: 15; Loss: 0.6928
+[2024-06-12 02:08:04,079 INFO] Epoch:6, Snapshot: 16; Loss: 0.6932
+[2024-06-12 02:08:05,766 INFO] Epoch:6, Snapshot: 17; Loss: 0.6954
+[2024-06-12 02:08:07,577 INFO] Epoch:6, Snapshot: 18; Loss: 0.6951
+[2024-06-12 02:08:37,751 INFO] ==========================================================================================
+[2024-06-12 02:08:37,751 INFO] Epoch:6, Loss: 0.6955, Time: 65.999, GPU: 1886.4MiB
+[2024-06-12 02:08:37,751 INFO] Epoch:6, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 531.7948
+[2024-06-12 02:08:39,462 INFO] Epoch:7, Snapshot: 0; Loss: 0.7092
+[2024-06-12 02:08:41,148 INFO] Epoch:7, Snapshot: 1; Loss: 0.6935
+[2024-06-12 02:08:42,955 INFO] Epoch:7, Snapshot: 2; Loss: 0.6929
+[2024-06-12 02:08:44,691 INFO] Epoch:7, Snapshot: 3; Loss: 0.6927
+[2024-06-12 02:08:46,703 INFO] Epoch:7, Snapshot: 4; Loss: 0.6926
+[2024-06-12 02:08:48,641 INFO] Epoch:7, Snapshot: 5; Loss: 0.6934
+[2024-06-12 02:08:50,479 INFO] Epoch:7, Snapshot: 6; Loss: 0.6935
+[2024-06-12 02:08:52,447 INFO] Epoch:7, Snapshot: 7; Loss: 0.6939
+[2024-06-12 02:08:54,462 INFO] Epoch:7, Snapshot: 8; Loss: 0.6938
+[2024-06-12 02:08:56,383 INFO] Epoch:7, Snapshot: 9; Loss: 0.6936
+[2024-06-12 02:08:58,228 INFO] Epoch:7, Snapshot: 10; Loss: 0.6931
+[2024-06-12 02:09:00,159 INFO] Epoch:7, Snapshot: 11; Loss: 0.6932
+[2024-06-12 02:09:02,016 INFO] Epoch:7, Snapshot: 12; Loss: 0.6929
+[2024-06-12 02:09:03,752 INFO] Epoch:7, Snapshot: 13; Loss: 0.6927
+[2024-06-12 02:09:05,638 INFO] Epoch:7, Snapshot: 14; Loss: 0.6926
+[2024-06-12 02:09:07,305 INFO] Epoch:7, Snapshot: 15; Loss: 0.6928
+[2024-06-12 02:09:08,881 INFO] Epoch:7, Snapshot: 16; Loss: 0.6932
+[2024-06-12 02:09:10,825 INFO] Epoch:7, Snapshot: 17; Loss: 0.6929
+[2024-06-12 02:09:12,544 INFO] Epoch:7, Snapshot: 18; Loss: 0.6928
+[2024-06-12 02:09:42,079 INFO] ==========================================================================================
+[2024-06-12 02:09:42,079 INFO] Epoch:7, Loss: 0.6939, Time: 64.328, GPU: 1886.4MiB
+[2024-06-12 02:09:42,079 INFO] Epoch:7, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 540.5603
+[2024-06-12 02:09:43,918 INFO] Epoch:8, Snapshot: 0; Loss: 0.7092
+[2024-06-12 02:09:45,494 INFO] Epoch:8, Snapshot: 1; Loss: 0.6949
+[2024-06-12 02:09:47,258 INFO] Epoch:8, Snapshot: 2; Loss: 0.6945
+[2024-06-12 02:09:49,143 INFO] Epoch:8, Snapshot: 3; Loss: 0.6928
+[2024-06-12 02:09:51,048 INFO] Epoch:8, Snapshot: 4; Loss: 0.6926
+[2024-06-12 02:09:52,906 INFO] Epoch:8, Snapshot: 5; Loss: 0.6934
+[2024-06-12 02:09:55,031 INFO] Epoch:8, Snapshot: 6; Loss: 0.6949
+[2024-06-12 02:09:57,228 INFO] Epoch:8, Snapshot: 7; Loss: 0.6950
+[2024-06-12 02:09:59,228 INFO] Epoch:8, Snapshot: 8; Loss: 0.6938
+[2024-06-12 02:10:01,211 INFO] Epoch:8, Snapshot: 9; Loss: 0.6936
+[2024-06-12 02:10:03,337 INFO] Epoch:8, Snapshot: 10; Loss: 0.6931
+[2024-06-12 02:10:05,352 INFO] Epoch:8, Snapshot: 11; Loss: 0.6932
+[2024-06-12 02:10:07,126 INFO] Epoch:8, Snapshot: 12; Loss: 0.6929
+[2024-06-12 02:10:09,067 INFO] Epoch:8, Snapshot: 13; Loss: 0.6927
+[2024-06-12 02:10:10,989 INFO] Epoch:8, Snapshot: 14; Loss: 0.6927
+[2024-06-12 02:10:12,589 INFO] Epoch:8, Snapshot: 15; Loss: 0.6928
+[2024-06-12 02:10:14,127 INFO] Epoch:8, Snapshot: 16; Loss: 0.6937
+[2024-06-12 02:10:16,093 INFO] Epoch:8, Snapshot: 17; Loss: 0.6933
+[2024-06-12 02:10:18,016 INFO] Epoch:8, Snapshot: 18; Loss: 0.6928
+[2024-06-12 02:10:48,336 INFO] ==========================================================================================
+[2024-06-12 02:10:48,336 INFO] Epoch:8, Loss: 0.6943, Time: 66.258, GPU: 1886.4MiB
+[2024-06-12 02:10:48,336 INFO] Epoch:8, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 554.3570
+[2024-06-12 02:10:50,273 INFO] Epoch:9, Snapshot: 0; Loss: 0.7093
+[2024-06-12 02:10:52,044 INFO] Epoch:9, Snapshot: 1; Loss: 0.6935
+[2024-06-12 02:10:53,887 INFO] Epoch:9, Snapshot: 2; Loss: 0.6933
+[2024-06-12 02:10:55,715 INFO] Epoch:9, Snapshot: 3; Loss: 0.6930
+[2024-06-12 02:10:57,902 INFO] Epoch:9, Snapshot: 4; Loss: 0.6926
+[2024-06-12 02:10:59,822 INFO] Epoch:9, Snapshot: 5; Loss: 0.6966
+[2024-06-12 02:11:01,813 INFO] Epoch:9, Snapshot: 6; Loss: 0.6970
+[2024-06-12 02:11:03,807 INFO] Epoch:9, Snapshot: 7; Loss: 0.6938
+[2024-06-12 02:11:05,918 INFO] Epoch:9, Snapshot: 8; Loss: 0.6939
+[2024-06-12 02:11:08,015 INFO] Epoch:9, Snapshot: 9; Loss: 0.6936
+[2024-06-12 02:11:10,061 INFO] Epoch:9, Snapshot: 10; Loss: 0.6932
+[2024-06-12 02:11:12,305 INFO] Epoch:9, Snapshot: 11; Loss: 0.6933
+[2024-06-12 02:11:14,211 INFO] Epoch:9, Snapshot: 12; Loss: 0.6930
+[2024-06-12 02:11:16,194 INFO] Epoch:9, Snapshot: 13; Loss: 0.6927
+[2024-06-12 02:11:18,096 INFO] Epoch:9, Snapshot: 14; Loss: 0.6952
+[2024-06-12 02:11:19,811 INFO] Epoch:9, Snapshot: 15; Loss: 0.6955
+[2024-06-12 02:11:21,335 INFO] Epoch:9, Snapshot: 16; Loss: 0.6932
+[2024-06-12 02:11:23,289 INFO] Epoch:9, Snapshot: 17; Loss: 0.6929
+[2024-06-12 02:11:25,177 INFO] Epoch:9, Snapshot: 18; Loss: 0.6928
+[2024-06-12 02:11:54,702 INFO] ==========================================================================================
+[2024-06-12 02:11:54,702 INFO] Epoch:9, Loss: 0.6946, Time: 66.366, GPU: 1886.4MiB
+[2024-06-12 02:11:54,702 INFO] Epoch:9, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 525.4750
+[2024-06-12 02:11:56,417 INFO] Epoch:10, Snapshot: 0; Loss: 0.7093
+[2024-06-12 02:11:58,016 INFO] Epoch:10, Snapshot: 1; Loss: 0.6936
+[2024-06-12 02:11:59,744 INFO] Epoch:10, Snapshot: 2; Loss: 0.6933
+[2024-06-12 02:12:01,477 INFO] Epoch:10, Snapshot: 3; Loss: 0.6929
+[2024-06-12 02:12:03,508 INFO] Epoch:10, Snapshot: 4; Loss: 0.6926
+[2024-06-12 02:12:05,414 INFO] Epoch:10, Snapshot: 5; Loss: 0.6933
+[2024-06-12 02:12:07,255 INFO] Epoch:10, Snapshot: 6; Loss: 0.6935
+[2024-06-12 02:12:09,293 INFO] Epoch:10, Snapshot: 7; Loss: 0.6938
+[2024-06-12 02:12:11,259 INFO] Epoch:10, Snapshot: 8; Loss: 0.6938
+[2024-06-12 02:12:13,242 INFO] Epoch:10, Snapshot: 9; Loss: 0.6956
+[2024-06-12 02:12:15,110 INFO] Epoch:10, Snapshot: 10; Loss: 0.6951
+[2024-06-12 02:12:17,017 INFO] Epoch:10, Snapshot: 11; Loss: 0.6945
+[2024-06-12 02:12:18,791 INFO] Epoch:10, Snapshot: 12; Loss: 0.6943
+[2024-06-12 02:12:20,445 INFO] Epoch:10, Snapshot: 13; Loss: 0.6927
+[2024-06-12 02:12:22,351 INFO] Epoch:10, Snapshot: 14; Loss: 0.6926
+[2024-06-12 02:12:23,938 INFO] Epoch:10, Snapshot: 15; Loss: 0.6928
+[2024-06-12 02:12:25,543 INFO] Epoch:10, Snapshot: 16; Loss: 0.6932
+[2024-06-12 02:12:27,306 INFO] Epoch:10, Snapshot: 17; Loss: 0.6930
+[2024-06-12 02:12:29,047 INFO] Epoch:10, Snapshot: 18; Loss: 0.6929
+[2024-06-12 02:12:58,764 INFO] ==========================================================================================
+[2024-06-12 02:12:58,764 INFO] Epoch:10, Loss: 0.6944, Time: 64.062, GPU: 1886.4MiB
+[2024-06-12 02:12:58,764 INFO] Epoch:10, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 543.3644
+[2024-06-12 02:13:00,609 INFO] Epoch:11, Snapshot: 0; Loss: 0.7106
+[2024-06-12 02:13:02,211 INFO] Epoch:11, Snapshot: 1; Loss: 0.6948
+[2024-06-12 02:13:04,094 INFO] Epoch:11, Snapshot: 2; Loss: 0.6931
+[2024-06-12 02:13:05,854 INFO] Epoch:11, Snapshot: 3; Loss: 0.6929
+[2024-06-12 02:13:07,718 INFO] Epoch:11, Snapshot: 4; Loss: 0.6934
+[2024-06-12 02:13:09,500 INFO] Epoch:11, Snapshot: 5; Loss: 0.6941
+[2024-06-12 02:13:11,306 INFO] Epoch:11, Snapshot: 6; Loss: 0.6936
+[2024-06-12 02:13:13,327 INFO] Epoch:11, Snapshot: 7; Loss: 0.6938
+[2024-06-12 02:13:15,176 INFO] Epoch:11, Snapshot: 8; Loss: 0.6945
+[2024-06-12 02:13:17,241 INFO] Epoch:11, Snapshot: 9; Loss: 0.6942
+[2024-06-12 02:13:19,158 INFO] Epoch:11, Snapshot: 10; Loss: 0.6931
+[2024-06-12 02:13:20,968 INFO] Epoch:11, Snapshot: 11; Loss: 0.6945
+[2024-06-12 02:13:22,681 INFO] Epoch:11, Snapshot: 12; Loss: 0.6947
+[2024-06-12 02:13:24,830 INFO] Epoch:11, Snapshot: 13; Loss: 0.6930
+[2024-06-12 02:13:26,608 INFO] Epoch:11, Snapshot: 14; Loss: 0.6926
+[2024-06-12 02:13:28,176 INFO] Epoch:11, Snapshot: 15; Loss: 0.6928
+[2024-06-12 02:13:29,936 INFO] Epoch:11, Snapshot: 16; Loss: 0.6944
+[2024-06-12 02:13:31,640 INFO] Epoch:11, Snapshot: 17; Loss: 0.6944
+[2024-06-12 02:13:33,304 INFO] Epoch:11, Snapshot: 18; Loss: 0.6928
+[2024-06-12 02:14:02,476 INFO] ==========================================================================================
+[2024-06-12 02:14:02,476 INFO] Epoch:11, Loss: 0.6946, Time: 63.712, GPU: 1886.4MiB
+[2024-06-12 02:14:02,476 INFO] Epoch:11, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 557.0654
+[2024-06-12 02:14:04,226 INFO] Epoch:12, Snapshot: 0; Loss: 0.7096
+[2024-06-12 02:14:05,681 INFO] Epoch:12, Snapshot: 1; Loss: 0.6947
+[2024-06-12 02:14:07,367 INFO] Epoch:12, Snapshot: 2; Loss: 0.6941
+[2024-06-12 02:14:09,077 INFO] Epoch:12, Snapshot: 3; Loss: 0.6928
+[2024-06-12 02:14:10,890 INFO] Epoch:12, Snapshot: 4; Loss: 0.6927
+[2024-06-12 02:14:12,858 INFO] Epoch:12, Snapshot: 5; Loss: 0.6933
+[2024-06-12 02:14:14,750 INFO] Epoch:12, Snapshot: 6; Loss: 0.6935
+[2024-06-12 02:14:16,555 INFO] Epoch:12, Snapshot: 7; Loss: 0.6938
+[2024-06-12 02:14:18,366 INFO] Epoch:12, Snapshot: 8; Loss: 0.6938
+[2024-06-12 02:14:20,320 INFO] Epoch:12, Snapshot: 9; Loss: 0.6936
+[2024-06-12 02:14:22,140 INFO] Epoch:12, Snapshot: 10; Loss: 0.6931
+[2024-06-12 02:14:24,000 INFO] Epoch:12, Snapshot: 11; Loss: 0.6941
+[2024-06-12 02:14:25,764 INFO] Epoch:12, Snapshot: 12; Loss: 0.6938
+[2024-06-12 02:14:27,462 INFO] Epoch:12, Snapshot: 13; Loss: 0.6927
+[2024-06-12 02:14:29,176 INFO] Epoch:12, Snapshot: 14; Loss: 0.6934
+[2024-06-12 02:14:30,749 INFO] Epoch:12, Snapshot: 15; Loss: 0.6939
+[2024-06-12 02:14:32,274 INFO] Epoch:12, Snapshot: 16; Loss: 0.6932
+[2024-06-12 02:14:33,984 INFO] Epoch:12, Snapshot: 17; Loss: 0.6929
+[2024-06-12 02:14:35,796 INFO] Epoch:12, Snapshot: 18; Loss: 0.6928
+[2024-06-12 02:15:05,254 INFO] ==========================================================================================
+[2024-06-12 02:15:05,254 INFO] Epoch:12, Loss: 0.6943, Time: 62.778, GPU: 1886.4MiB
+[2024-06-12 02:15:05,254 INFO] Epoch:12, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 581.1125
+[2024-06-12 02:15:06,885 INFO] Epoch:13, Snapshot: 0; Loss: 0.7097
+[2024-06-12 02:15:08,378 INFO] Epoch:13, Snapshot: 1; Loss: 0.6936
+[2024-06-12 02:15:10,145 INFO] Epoch:13, Snapshot: 2; Loss: 0.6930
+[2024-06-12 02:15:11,869 INFO] Epoch:13, Snapshot: 3; Loss: 0.6927
+[2024-06-12 02:15:13,728 INFO] Epoch:13, Snapshot: 4; Loss: 0.6926
+[2024-06-12 02:15:15,507 INFO] Epoch:13, Snapshot: 5; Loss: 0.6934
+[2024-06-12 02:15:17,274 INFO] Epoch:13, Snapshot: 6; Loss: 0.6935
+[2024-06-12 02:15:19,209 INFO] Epoch:13, Snapshot: 7; Loss: 0.6938
+[2024-06-12 02:15:21,139 INFO] Epoch:13, Snapshot: 8; Loss: 0.6938
+[2024-06-12 02:15:22,952 INFO] Epoch:13, Snapshot: 9; Loss: 0.6937
+[2024-06-12 02:15:24,890 INFO] Epoch:13, Snapshot: 10; Loss: 0.6937
+[2024-06-12 02:15:26,712 INFO] Epoch:13, Snapshot: 11; Loss: 0.6937
+[2024-06-12 02:15:28,366 INFO] Epoch:13, Snapshot: 12; Loss: 0.6929
+[2024-06-12 02:15:30,110 INFO] Epoch:13, Snapshot: 13; Loss: 0.6928
+[2024-06-12 02:15:31,806 INFO] Epoch:13, Snapshot: 14; Loss: 0.6926
+[2024-06-12 02:15:33,475 INFO] Epoch:13, Snapshot: 15; Loss: 0.6928
+[2024-06-12 02:15:34,961 INFO] Epoch:13, Snapshot: 16; Loss: 0.6932
+[2024-06-12 02:15:36,697 INFO] Epoch:13, Snapshot: 17; Loss: 0.6929
+[2024-06-12 02:15:38,335 INFO] Epoch:13, Snapshot: 18; Loss: 0.6928
+[2024-06-12 02:16:07,732 INFO] ==========================================================================================
+[2024-06-12 02:16:07,732 INFO] Epoch:13, Loss: 0.6941, Time: 62.478, GPU: 1886.4MiB
+[2024-06-12 02:16:07,732 INFO] Epoch:13, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 573.9554
+[2024-06-12 02:16:09,559 INFO] Epoch:14, Snapshot: 0; Loss: 0.7095
+[2024-06-12 02:16:11,172 INFO] Epoch:14, Snapshot: 1; Loss: 0.6935
+[2024-06-12 02:16:12,825 INFO] Epoch:14, Snapshot: 2; Loss: 0.6929
+[2024-06-12 02:16:14,522 INFO] Epoch:14, Snapshot: 3; Loss: 0.6927
+[2024-06-12 02:16:16,304 INFO] Epoch:14, Snapshot: 4; Loss: 0.6925
+[2024-06-12 02:16:18,062 INFO] Epoch:14, Snapshot: 5; Loss: 0.6933
+[2024-06-12 02:16:19,935 INFO] Epoch:14, Snapshot: 6; Loss: 0.6936
+[2024-06-12 02:16:21,857 INFO] Epoch:14, Snapshot: 7; Loss: 0.6939
+[2024-06-12 02:16:23,654 INFO] Epoch:14, Snapshot: 8; Loss: 0.6938
+[2024-06-12 02:16:25,477 INFO] Epoch:14, Snapshot: 9; Loss: 0.6940
+[2024-06-12 02:16:27,282 INFO] Epoch:14, Snapshot: 10; Loss: 0.6934
+[2024-06-12 02:16:29,108 INFO] Epoch:14, Snapshot: 11; Loss: 0.6932
+[2024-06-12 02:16:30,727 INFO] Epoch:14, Snapshot: 12; Loss: 0.6929
+[2024-06-12 02:16:32,475 INFO] Epoch:14, Snapshot: 13; Loss: 0.6930
+[2024-06-12 02:16:34,140 INFO] Epoch:14, Snapshot: 14; Loss: 0.6930
+[2024-06-12 02:16:35,748 INFO] Epoch:14, Snapshot: 15; Loss: 0.6928
+[2024-06-12 02:16:37,272 INFO] Epoch:14, Snapshot: 16; Loss: 0.6932
+[2024-06-12 02:16:38,936 INFO] Epoch:14, Snapshot: 17; Loss: 0.6929
+[2024-06-12 02:16:40,717 INFO] Epoch:14, Snapshot: 18; Loss: 0.6928
+[2024-06-12 02:17:09,639 INFO] ==========================================================================================
+[2024-06-12 02:17:09,639 INFO] Epoch:14, Loss: 0.6940, Time: 61.907, GPU: 1886.4MiB
+[2024-06-12 02:17:09,639 INFO] Epoch:14, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 546.9793
+[2024-06-12 02:17:11,396 INFO] Epoch:15, Snapshot: 0; Loss: 0.7093
+[2024-06-12 02:17:12,847 INFO] Epoch:15, Snapshot: 1; Loss: 0.6936
+[2024-06-12 02:17:14,508 INFO] Epoch:15, Snapshot: 2; Loss: 0.6929
+[2024-06-12 02:17:16,175 INFO] Epoch:15, Snapshot: 3; Loss: 0.6927
+[2024-06-12 02:17:17,984 INFO] Epoch:15, Snapshot: 4; Loss: 0.6925
+[2024-06-12 02:17:19,935 INFO] Epoch:15, Snapshot: 5; Loss: 0.6933
+[2024-06-12 02:17:21,827 INFO] Epoch:15, Snapshot: 6; Loss: 0.6935
+[2024-06-12 02:17:23,670 INFO] Epoch:15, Snapshot: 7; Loss: 0.6938
+[2024-06-12 02:17:25,462 INFO] Epoch:15, Snapshot: 8; Loss: 0.6938
+[2024-06-12 02:17:27,282 INFO] Epoch:15, Snapshot: 9; Loss: 0.6937
+[2024-06-12 02:17:29,057 INFO] Epoch:15, Snapshot: 10; Loss: 0.6931
+[2024-06-12 02:17:30,994 INFO] Epoch:15, Snapshot: 11; Loss: 0.6932
+[2024-06-12 02:17:32,716 INFO] Epoch:15, Snapshot: 12; Loss: 0.6929
+[2024-06-12 02:17:34,428 INFO] Epoch:15, Snapshot: 13; Loss: 0.6928
+[2024-06-12 02:17:36,107 INFO] Epoch:15, Snapshot: 14; Loss: 0.6928
+[2024-06-12 02:17:37,649 INFO] Epoch:15, Snapshot: 15; Loss: 0.6929
+[2024-06-12 02:17:39,175 INFO] Epoch:15, Snapshot: 16; Loss: 0.6934
+[2024-06-12 02:17:40,919 INFO] Epoch:15, Snapshot: 17; Loss: 0.6931
+[2024-06-12 02:17:42,608 INFO] Epoch:15, Snapshot: 18; Loss: 0.6928
+[2024-06-12 02:18:11,240 INFO] ==========================================================================================
+[2024-06-12 02:18:11,240 INFO] Epoch:15, Loss: 0.6940, Time: 61.601, GPU: 1886.4MiB
+[2024-06-12 02:18:11,240 INFO] Epoch:15, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 533.9545
+[2024-06-12 02:18:12,983 INFO] Epoch:16, Snapshot: 0; Loss: 0.7094
+[2024-06-12 02:18:14,559 INFO] Epoch:16, Snapshot: 1; Loss: 0.6940
+[2024-06-12 02:18:16,291 INFO] Epoch:16, Snapshot: 2; Loss: 0.6929
+[2024-06-12 02:18:30,303 INFO] fixed random seed
+[2024-06-12 02:18:32,174 INFO] Epoch:1, Snapshot: 0; Loss: 0.8283
+[2024-06-12 02:18:33,719 INFO] Epoch:1, Snapshot: 1; Loss: 1.1961
+[2024-06-12 02:18:35,381 INFO] Epoch:1, Snapshot: 2; Loss: 1.0637
+[2024-06-12 02:18:37,289 INFO] Epoch:1, Snapshot: 3; Loss: 0.8733
+[2024-06-12 02:18:39,378 INFO] Epoch:1, Snapshot: 4; Loss: 0.6937
+[2024-06-12 02:18:41,320 INFO] Epoch:1, Snapshot: 5; Loss: 0.7046
+[2024-06-12 02:18:43,240 INFO] Epoch:1, Snapshot: 6; Loss: 0.7095
+[2024-06-12 02:18:45,108 INFO] Epoch:1, Snapshot: 7; Loss: 0.7100
+[2024-06-12 02:18:47,124 INFO] Epoch:1, Snapshot: 8; Loss: 0.7063
+[2024-06-12 02:18:49,080 INFO] Epoch:1, Snapshot: 9; Loss: 0.7002
+[2024-06-12 02:18:50,935 INFO] Epoch:1, Snapshot: 10; Loss: 0.6941
+[2024-06-12 02:18:52,873 INFO] Epoch:1, Snapshot: 11; Loss: 0.6932
+[2024-06-12 02:18:54,575 INFO] Epoch:1, Snapshot: 12; Loss: 0.6943
+[2024-06-12 02:18:56,383 INFO] Epoch:1, Snapshot: 13; Loss: 0.6977
+[2024-06-12 02:18:58,153 INFO] Epoch:1, Snapshot: 14; Loss: 0.7010
+[2024-06-12 02:18:59,717 INFO] Epoch:1, Snapshot: 15; Loss: 0.7096
+[2024-06-12 02:19:01,192 INFO] Epoch:1, Snapshot: 16; Loss: 0.7561
+[2024-06-12 02:19:02,952 INFO] Epoch:1, Snapshot: 17; Loss: 0.7585
+[2024-06-12 02:19:04,795 INFO] Epoch:1, Snapshot: 18; Loss: 0.7427
+[2024-06-12 02:19:34,493 INFO] ==========================================================================================
+[2024-06-12 02:19:34,493 INFO] Epoch:1, Loss: 0.7702, Time: 64.190, GPU: 1217.0MiB
+[2024-06-12 02:19:34,493 INFO] Epoch:1, Accuracy: 0.4931; F1: 0.0000; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, Memory: 1825.4014, time: 552.4329
+[2024-06-12 02:19:36,319 INFO] Epoch:2, Snapshot: 0; Loss: 0.7125
+[2024-06-12 02:19:38,303 INFO] Epoch:2, Snapshot: 1; Loss: 0.6936
+[2024-06-12 02:19:40,669 INFO] Epoch:2, Snapshot: 2; Loss: 0.6930
+[2024-06-12 02:19:43,397 INFO] Epoch:2, Snapshot: 3; Loss: 0.6927
+[2024-06-12 02:19:45,919 INFO] Epoch:2, Snapshot: 4; Loss: 0.6926
+[2024-06-12 02:19:48,365 INFO] Epoch:2, Snapshot: 5; Loss: 0.6959
+[2024-06-12 02:19:50,558 INFO] Epoch:2, Snapshot: 6; Loss: 0.7029
+[2024-06-12 02:19:52,873 INFO] Epoch:2, Snapshot: 7; Loss: 0.7056
+[2024-06-12 02:19:55,395 INFO] Epoch:2, Snapshot: 8; Loss: 0.6962
+[2024-06-12 02:19:57,785 INFO] Epoch:2, Snapshot: 9; Loss: 0.6945
+[2024-06-12 02:20:00,256 INFO] Epoch:2, Snapshot: 10; Loss: 0.6934
+[2024-06-12 02:20:02,991 INFO] Epoch:2, Snapshot: 11; Loss: 0.6932
+[2024-06-12 02:20:05,065 INFO] Epoch:2, Snapshot: 12; Loss: 0.6947
+[2024-06-12 02:20:07,417 INFO] Epoch:2, Snapshot: 13; Loss: 0.6958
+[2024-06-12 02:20:09,623 INFO] Epoch:2, Snapshot: 14; Loss: 0.7217
+[2024-06-12 02:20:12,089 INFO] Epoch:2, Snapshot: 15; Loss: 0.7262
+[2024-06-12 02:20:14,434 INFO] Epoch:2, Snapshot: 16; Loss: 0.6948
+[2024-06-12 02:20:16,780 INFO] Epoch:2, Snapshot: 17; Loss: 0.6937
+[2024-06-12 02:20:19,028 INFO] Epoch:2, Snapshot: 18; Loss: 0.6929
+[2024-06-12 02:20:51,783 INFO] ==========================================================================================
+[2024-06-12 02:20:51,798 INFO] Epoch:2, Loss: 0.6993, Time: 77.306, GPU: 1885.5MiB
+[2024-06-12 02:20:51,798 INFO] Epoch:2, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1885.4851, time: 716.8791
+[2024-06-12 02:20:53,685 INFO] Epoch:3, Snapshot: 0; Loss: 0.7187
+[2024-06-12 02:20:55,716 INFO] Epoch:3, Snapshot: 1; Loss: 0.6956
+[2024-06-12 02:20:58,191 INFO] Epoch:3, Snapshot: 2; Loss: 0.6936
+[2024-06-12 02:21:00,541 INFO] Epoch:3, Snapshot: 3; Loss: 0.6932
+[2024-06-12 02:21:03,117 INFO] Epoch:3, Snapshot: 4; Loss: 0.6938
+[2024-06-12 02:21:05,857 INFO] Epoch:3, Snapshot: 5; Loss: 0.6945
+[2024-06-12 02:21:08,397 INFO] Epoch:3, Snapshot: 6; Loss: 0.6946
+[2024-06-12 02:21:10,705 INFO] Epoch:3, Snapshot: 7; Loss: 0.6943
+[2024-06-12 02:21:12,934 INFO] Epoch:3, Snapshot: 8; Loss: 0.6936
+[2024-06-12 02:21:15,669 INFO] Epoch:3, Snapshot: 9; Loss: 0.6931
+[2024-06-12 02:21:18,271 INFO] Epoch:3, Snapshot: 10; Loss: 0.6938
+[2024-06-12 02:21:20,837 INFO] Epoch:3, Snapshot: 11; Loss: 0.6941
+[2024-06-12 02:21:23,250 INFO] Epoch:3, Snapshot: 12; Loss: 0.6956
+[2024-06-12 02:21:25,700 INFO] Epoch:3, Snapshot: 13; Loss: 0.6963
+[2024-06-12 02:21:28,026 INFO] Epoch:3, Snapshot: 14; Loss: 0.6961
+[2024-06-12 02:21:30,240 INFO] Epoch:3, Snapshot: 15; Loss: 0.6941
+[2024-06-12 02:21:32,191 INFO] Epoch:3, Snapshot: 16; Loss: 0.6933
+[2024-06-12 02:21:34,255 INFO] Epoch:3, Snapshot: 17; Loss: 0.6929
+[2024-06-12 02:21:36,593 INFO] Epoch:3, Snapshot: 18; Loss: 0.6927
+[2024-06-12 02:22:10,208 INFO] ==========================================================================================
+[2024-06-12 02:22:10,208 INFO] Epoch:3, Loss: 0.6955, Time: 78.410, GPU: 1885.5MiB
+[2024-06-12 02:22:10,208 INFO] Epoch:3, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1885.6750, time: 762.6758
+[2024-06-12 02:22:12,113 INFO] Epoch:4, Snapshot: 0; Loss: 0.7118
+[2024-06-12 02:22:14,174 INFO] Epoch:4, Snapshot: 1; Loss: 0.6977
+[2024-06-12 02:22:16,541 INFO] Epoch:4, Snapshot: 2; Loss: 0.6941
+[2024-06-12 02:22:18,898 INFO] Epoch:4, Snapshot: 3; Loss: 0.6929
+[2024-06-12 02:22:21,557 INFO] Epoch:4, Snapshot: 4; Loss: 0.6923
+[2024-06-12 02:22:24,388 INFO] Epoch:4, Snapshot: 5; Loss: 0.6938
+[2024-06-12 02:22:26,904 INFO] Epoch:4, Snapshot: 6; Loss: 0.6936
+[2024-06-12 02:22:29,256 INFO] Epoch:4, Snapshot: 7; Loss: 0.6933
+[2024-06-12 02:22:31,670 INFO] Epoch:4, Snapshot: 8; Loss: 0.6929
+[2024-06-12 02:22:33,998 INFO] Epoch:4, Snapshot: 9; Loss: 0.6931
+[2024-06-12 02:22:36,794 INFO] Epoch:4, Snapshot: 10; Loss: 0.6949
+[2024-06-12 02:22:39,287 INFO] Epoch:4, Snapshot: 11; Loss: 0.6948
+[2024-06-12 02:22:41,521 INFO] Epoch:4, Snapshot: 12; Loss: 0.6959
+[2024-06-12 02:22:43,872 INFO] Epoch:4, Snapshot: 13; Loss: 0.6959
+[2024-06-12 02:22:46,241 INFO] Epoch:4, Snapshot: 14; Loss: 0.6946
+[2024-06-12 02:22:48,154 INFO] Epoch:4, Snapshot: 15; Loss: 0.6928
+[2024-06-12 02:22:50,381 INFO] Epoch:4, Snapshot: 16; Loss: 0.6939
+[2024-06-12 02:22:52,622 INFO] Epoch:4, Snapshot: 17; Loss: 0.6933
+[2024-06-12 02:22:55,174 INFO] Epoch:4, Snapshot: 18; Loss: 0.6934
+[2024-06-12 02:23:27,598 INFO] ==========================================================================================
+[2024-06-12 02:23:27,598 INFO] Epoch:4, Loss: 0.6950, Time: 77.390, GPU: 1886.4MiB
+[2024-06-12 02:23:27,598 INFO] Epoch:4, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1886.3872, time: 691.4106
+[2024-06-12 02:23:29,645 INFO] Epoch:5, Snapshot: 0; Loss: 0.7112
+[2024-06-12 02:23:31,552 INFO] Epoch:5, Snapshot: 1; Loss: 0.6983
+[2024-06-12 02:23:33,710 INFO] Epoch:5, Snapshot: 2; Loss: 0.6940
+[2024-06-12 02:23:36,040 INFO] Epoch:5, Snapshot: 3; Loss: 0.6927
+[2024-06-12 02:23:38,479 INFO] Epoch:5, Snapshot: 4; Loss: 0.6923
+[2024-06-12 02:23:40,887 INFO] Epoch:5, Snapshot: 5; Loss: 0.6933
+[2024-06-12 02:23:43,344 INFO] Epoch:5, Snapshot: 6; Loss: 0.6932
+[2024-06-12 02:23:45,578 INFO] Epoch:5, Snapshot: 7; Loss: 0.6930
+[2024-06-12 02:23:47,939 INFO] Epoch:5, Snapshot: 8; Loss: 0.6929
+[2024-06-12 02:23:50,127 INFO] Epoch:5, Snapshot: 9; Loss: 0.6933
+[2024-06-12 02:23:52,781 INFO] Epoch:5, Snapshot: 10; Loss: 0.6952
+[2024-06-12 02:23:55,252 INFO] Epoch:5, Snapshot: 11; Loss: 0.6947
+[2024-06-12 02:23:57,518 INFO] Epoch:5, Snapshot: 12; Loss: 0.6952
+[2024-06-12 02:23:59,816 INFO] Epoch:5, Snapshot: 13; Loss: 0.6946
+[2024-06-12 02:24:02,129 INFO] Epoch:5, Snapshot: 14; Loss: 0.6931
+[2024-06-12 02:24:04,396 INFO] Epoch:5, Snapshot: 15; Loss: 0.6924
+[2024-06-12 02:24:06,799 INFO] Epoch:5, Snapshot: 16; Loss: 0.6948
+[2024-06-12 02:24:09,167 INFO] Epoch:5, Snapshot: 17; Loss: 0.6938
+[2024-06-12 02:24:11,363 INFO] Epoch:5, Snapshot: 18; Loss: 0.6938
+[2024-06-12 02:24:25,865 INFO] fixed random seed
+[2024-06-12 02:24:27,757 INFO] Epoch:1, Snapshot: 0; Loss: 1.2498
+[2024-06-12 02:24:29,464 INFO] Epoch:1, Snapshot: 1; Loss: 10.5665
+[2024-06-12 02:24:31,278 INFO] Epoch:1, Snapshot: 2; Loss: 7.5603
+[2024-06-12 02:24:33,993 INFO] Epoch:1, Snapshot: 3; Loss: 1.5494
+[2024-06-12 02:24:36,424 INFO] Epoch:1, Snapshot: 4; Loss: 0.9180
+[2024-06-12 02:24:39,091 INFO] Epoch:1, Snapshot: 5; Loss: 0.7310
+[2024-06-12 02:24:41,392 INFO] Epoch:1, Snapshot: 6; Loss: 0.8998
+[2024-06-12 02:24:43,754 INFO] Epoch:1, Snapshot: 7; Loss: 2.4445
+[2024-06-12 02:24:46,617 INFO] Epoch:1, Snapshot: 8; Loss: 1.0715
+[2024-06-12 02:24:49,400 INFO] Epoch:1, Snapshot: 9; Loss: 1.0328
+[2024-06-12 02:24:51,809 INFO] Epoch:1, Snapshot: 10; Loss: 1.0338
+[2024-06-12 02:24:54,107 INFO] Epoch:1, Snapshot: 11; Loss: 2.0570
+[2024-06-12 02:24:56,031 INFO] Epoch:1, Snapshot: 12; Loss: 3.2575
+[2024-06-12 02:24:58,110 INFO] Epoch:1, Snapshot: 13; Loss: 0.9878
+[2024-06-12 02:25:00,282 INFO] Epoch:1, Snapshot: 14; Loss: 1.1301
+[2024-06-12 02:25:02,221 INFO] Epoch:1, Snapshot: 15; Loss: 0.9967
+[2024-06-12 02:25:03,923 INFO] Epoch:1, Snapshot: 16; Loss: 3.4234
+[2024-06-12 02:25:05,910 INFO] Epoch:1, Snapshot: 17; Loss: 5.2933
+[2024-06-12 02:25:07,925 INFO] Epoch:1, Snapshot: 18; Loss: 4.2044
+[2024-06-12 02:25:41,725 INFO] ==========================================================================================
+[2024-06-12 02:25:41,725 INFO] Epoch:1, Loss: 2.6530, Time: 75.860, GPU: 1217.0MiB
+[2024-06-12 02:25:41,725 INFO] Epoch:1, Accuracy: 0.4931; F1: 0.0000; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, Memory: 1825.4014, time: 774.8580
+[2024-06-12 02:25:43,742 INFO] Epoch:2, Snapshot: 0; Loss: 1.1677
+[2024-06-12 02:25:45,727 INFO] Epoch:2, Snapshot: 1; Loss: 0.8350
+[2024-06-12 02:25:47,962 INFO] Epoch:2, Snapshot: 2; Loss: 0.7088
+[2024-06-12 02:25:49,979 INFO] Epoch:2, Snapshot: 3; Loss: 0.9810
+[2024-06-12 02:25:52,277 INFO] Epoch:2, Snapshot: 4; Loss: 1.0881
+[2024-06-12 02:25:54,950 INFO] Epoch:2, Snapshot: 5; Loss: 0.7293
+[2024-06-12 02:25:57,404 INFO] Epoch:2, Snapshot: 6; Loss: 0.7720
+[2024-06-12 02:25:59,842 INFO] Epoch:2, Snapshot: 7; Loss: 0.7924
+[2024-06-12 02:26:02,719 INFO] Epoch:2, Snapshot: 8; Loss: 0.8863
+[2024-06-12 02:26:05,111 INFO] Epoch:2, Snapshot: 9; Loss: 0.9113
+[2024-06-12 02:26:07,722 INFO] Epoch:2, Snapshot: 10; Loss: 0.7472
+[2024-06-12 02:26:10,349 INFO] Epoch:2, Snapshot: 11; Loss: 0.7266
+[2024-06-12 02:26:12,492 INFO] Epoch:2, Snapshot: 12; Loss: 0.8211
+[2024-06-12 02:26:14,747 INFO] Epoch:2, Snapshot: 13; Loss: 0.7540
+[2024-06-12 02:26:16,838 INFO] Epoch:2, Snapshot: 14; Loss: 0.7758
+[2024-06-12 02:26:18,747 INFO] Epoch:2, Snapshot: 15; Loss: 0.7637
+[2024-06-12 02:26:20,388 INFO] Epoch:2, Snapshot: 16; Loss: 0.6991
+[2024-06-12 02:26:22,404 INFO] Epoch:2, Snapshot: 17; Loss: 0.6933
+[2024-06-12 02:26:24,561 INFO] Epoch:2, Snapshot: 18; Loss: 0.6951
+[2024-06-12 02:26:58,938 INFO] ==========================================================================================
+[2024-06-12 02:26:58,938 INFO] Epoch:2, Loss: 0.8183, Time: 77.213, GPU: 1885.5MiB
+[2024-06-12 02:26:58,938 INFO] Epoch:2, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1885.4851, time: 806.4749
+[2024-06-12 02:27:01,096 INFO] Epoch:3, Snapshot: 0; Loss: 0.7641
+[2024-06-12 02:27:03,080 INFO] Epoch:3, Snapshot: 1; Loss: 0.7564
+[2024-06-12 02:27:05,034 INFO] Epoch:3, Snapshot: 2; Loss: 0.7191
+[2024-06-12 02:27:07,238 INFO] Epoch:3, Snapshot: 3; Loss: 0.6988
+[2024-06-12 02:27:09,488 INFO] Epoch:3, Snapshot: 4; Loss: 0.6974
+[2024-06-12 02:27:12,115 INFO] Epoch:3, Snapshot: 5; Loss: 0.7008
+[2024-06-12 02:27:14,270 INFO] Epoch:3, Snapshot: 6; Loss: 0.6959
+[2024-06-12 02:27:16,991 INFO] Epoch:3, Snapshot: 7; Loss: 0.6977
+[2024-06-12 02:27:19,370 INFO] Epoch:3, Snapshot: 8; Loss: 0.6993
+[2024-06-12 02:27:21,696 INFO] Epoch:3, Snapshot: 9; Loss: 0.7018
+[2024-06-12 02:27:24,511 INFO] Epoch:3, Snapshot: 10; Loss: 0.7058
+[2024-06-12 02:27:27,138 INFO] Epoch:3, Snapshot: 11; Loss: 0.7033
+[2024-06-12 02:27:29,514 INFO] Epoch:3, Snapshot: 12; Loss: 0.7091
+[2024-06-12 02:27:31,969 INFO] Epoch:3, Snapshot: 13; Loss: 0.7157
+[2024-06-12 02:27:33,891 INFO] Epoch:3, Snapshot: 14; Loss: 0.6968
+[2024-06-12 02:27:35,845 INFO] Epoch:3, Snapshot: 15; Loss: 0.7825
+[2024-06-12 02:27:37,784 INFO] Epoch:3, Snapshot: 16; Loss: 0.7912
+[2024-06-12 02:27:40,068 INFO] Epoch:3, Snapshot: 17; Loss: 0.7879
+[2024-06-12 02:27:42,490 INFO] Epoch:3, Snapshot: 18; Loss: 1.0306
+[2024-06-12 02:28:15,990 INFO] ==========================================================================================
+[2024-06-12 02:28:15,990 INFO] Epoch:3, Loss: 0.7397, Time: 77.051, GPU: 1885.5MiB
+[2024-06-12 02:28:15,990 INFO] Epoch:3, Accuracy: 0.5069; F1: 0.6727; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, Memory: 1885.6750, time: 759.5998
+[2024-06-12 02:28:18,398 INFO] Epoch:4, Snapshot: 0; Loss: 0.7918
+[2024-06-12 02:28:20,227 INFO] Epoch:4, Snapshot: 1; Loss: 1.3920
+[2024-06-12 02:28:22,086 INFO] Epoch:4, Snapshot: 2; Loss: 1.0677
+[2024-06-12 02:28:24,136 INFO] Epoch:4, Snapshot: 3; Loss: 0.7091
+[2024-06-12 02:28:26,403 INFO] Epoch:4, Snapshot: 4; Loss: 0.6993
+[2024-06-12 02:28:28,686 INFO] Epoch:4, Snapshot: 5; Loss: 0.6962
+[2024-06-12 02:28:31,171 INFO] Epoch:4, Snapshot: 6; Loss: 0.6955
+[2024-06-12 02:28:33,937 INFO] Epoch:4, Snapshot: 7; Loss: 0.6947
+[2024-06-12 02:28:36,578 INFO] Epoch:4, Snapshot: 8; Loss: 0.6930
+[2024-06-12 02:28:39,002 INFO] Epoch:4, Snapshot: 9; Loss: 0.6934
+[2024-06-12 02:28:41,705 INFO] Epoch:4, Snapshot: 10; Loss: 0.6950
+[2024-06-12 02:28:44,378 INFO] Epoch:4, Snapshot: 11; Loss: 0.6954
+[2024-06-12 02:28:46,911 INFO] Epoch:4, Snapshot: 12; Loss: 0.6928
+[2024-06-12 02:28:49,412 INFO] Epoch:4, Snapshot: 13; Loss: 0.6926
+[2024-06-12 02:28:51,647 INFO] Epoch:4, Snapshot: 14; Loss: 0.6927
+[2024-06-12 02:28:54,289 INFO] Epoch:4, Snapshot: 15; Loss: 0.6944
+[2024-06-12 02:28:56,180 INFO] Epoch:4, Snapshot: 16; Loss: 0.6977
+[2024-06-12 02:28:58,306 INFO] Epoch:4, Snapshot: 17; Loss: 0.6937
+[2024-06-12 02:29:00,401 INFO] Epoch:4, Snapshot: 18; Loss: 0.6930
diff --git a/HGWaveNet/utils/__init__.py b/HGWaveNet/utils/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/HGWaveNet/utils/data_utils.py b/HGWaveNet/utils/data_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..279cda19777a73da2047222f89c3bfbb2f118f97
--- /dev/null
+++ b/HGWaveNet/utils/data_utils.py
@@ -0,0 +1,92 @@
+import os
+import numpy as np
+import torch
+from scipy.sparse import coo_matrix
+from tqdm import tqdm
+from torch_geometric.utils import remove_self_loops
+
+from utils.util import logger
+
+
+def mkdirs(path):
+ if not os.path.isdir(path):
+ os.makedirs(path)
+ return path
+
+
+def loader(args):
+ filepath = os.path.join(args.data_pt_path, '{}.data'.format(args.dataset))
+ if os.path.isfile(filepath):
+ logger.info('loading {} ...'.format(args.dataset))
+ return torch.load(filepath)
+ else:
+ logger.info('{} does not exist, exiting...')
+ return None
+
+
+def prepare_dilated_edge_index(data, spatial_dilated_factors, device):
+ dilated_edge_index_list = []
+ logger.info('computing spatial dilated edge list ...')
+ for edge_index in tqdm(data['edge_index_list']):
+ adj = coo_matrix(([1] * len(edge_index[0]), (list(edge_index[0]), list(edge_index[1]))), dtype=int)
+ adj = adj.tocsr() + adj.transpose().tocsr()
+ print(adj)
+ dilated_edge_index = []
+ for factor in spatial_dilated_factors:
+ exponent = 1
+ adj_exp = adj
+ while exponent < factor:
+ adj_exp = adj_exp.dot(adj)
+ exponent += 1
+ adj_exp = adj_exp.tocoo()
+ adj_exp.eliminate_zeros()
+ coords = np.vstack((adj_exp.row, adj_exp.col)).transpose()
+ np.random.shuffle(coords)
+ coords, _ = remove_self_loops(torch.tensor(coords.transpose(), dtype=torch.long))
+ dilated_edge_index.append(coords.to(device))
+ dilated_edge_index_list.append(dilated_edge_index)
+ return dilated_edge_index_list
+
+
+def prepare_train_test_data(data, t, device):
+ edge_index = data['edge_index_list'][t].long().to(device)
+ pos_index = data['pedges'][t].long().to(device)
+ neg_index = data['nedges'][t].long().to(device)
+ new_pos_index = data['new_pedges'][t].long().to(device)
+ new_neg_index = data['new_nedges'][t].long().to(device)
+ return edge_index, pos_index, neg_index, new_pos_index, new_neg_index
+
+import pickle
+from scipy.sparse import csr_matrix
+
+def prepare(t,spatial_dilated_factors,device):
+ path = '../data/snapshots/labels_{}.pkl'.format(t)
+ with open(path,'rb') as f:
+ labels = pickle.load(f)
+
+ path = '../data/snapshots/features_{}.pkl'.format(t)
+ with open(path,'rb') as f:
+ features = pickle.load(f)
+
+ path = '../data/snapshots/adjacency_{}.pkl'.format(t)
+ with open(path,'rb') as f:
+ adj = pickle.load(f)
+
+ adj = csr_matrix(adj)
+ dilated_edge_index = []
+ for factor in spatial_dilated_factors:
+ exponent = 1
+ adj_exp = adj
+ while exponent < factor:
+ adj_exp = adj_exp.dot(adj)
+ exponent += 1
+ adj_exp = adj_exp.tocoo()
+ adj_exp.eliminate_zeros()
+ coords = np.vstack((adj_exp.row, adj_exp.col)).transpose()
+ np.random.shuffle(coords)
+ coords, _ = remove_self_loops(torch.tensor(coords.transpose(), dtype=torch.long))
+ dilated_edge_index.append(coords.to(device))
+
+ features = torch.from_numpy(features).float().to(device)
+ labels = torch.from_numpy(labels).long().to(device)
+ return dilated_edge_index,features,labels
\ No newline at end of file
diff --git a/HGWaveNet/utils/math_utils.py b/HGWaveNet/utils/math_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..317acfaa94c468d1047941d8eb799fc1e69278b2
--- /dev/null
+++ b/HGWaveNet/utils/math_utils.py
@@ -0,0 +1,66 @@
+import torch
+
+
+def cosh(x, clamp=15):
+ return x.clamp(-clamp, clamp).cosh()
+
+
+def sinh(x, clamp=15):
+ return x.clamp(-clamp, clamp).sinh()
+
+
+def tanh(x, clamp=15):
+ return x.clamp(-clamp, clamp).tanh()
+
+
+def arcosh(x):
+ return Arcosh.apply(x)
+
+
+def arsinh(x):
+ return Arsinh.apply(x)
+
+
+def artanh(x):
+ return Artanh.apply(x)
+
+
+class Artanh(torch.autograd.Function):
+ @staticmethod
+ def forward(ctx, x):
+ x = x.clamp(-1 + 1e-15, 1 - 1e-15)
+ ctx.save_for_backward(x)
+ z = x.double()
+ return (torch.log_(1 + z).sub_(torch.log_(1 - z))).mul_(0.5).to(x.dtype)
+
+ @staticmethod
+ def backward(ctx, grad_output):
+ _input, = ctx.saved_tensors
+ return grad_output / (1 - _input ** 2)
+
+
+class Arsinh(torch.autograd.Function):
+ @staticmethod
+ def forward(ctx, x):
+ ctx.save_for_backward(x)
+ z = x.double()
+ return (z + torch.sqrt_(1 + z.pow(2))).clamp_min_(1e-15).log_().to(x.dtype)
+
+ @staticmethod
+ def backward(ctx, grad_output):
+ _input, = ctx.saved_tensors
+ return grad_output / (1 + _input ** 2) ** 0.5
+
+
+class Arcosh(torch.autograd.Function):
+ @staticmethod
+ def forward(ctx, x):
+ x = x.clamp(min=1.0 + 1e-10)
+ ctx.save_for_backward(x)
+ z = x.double()
+ return (z + torch.sqrt_(z.pow(2) - 1)).clamp_min_(1e-15).log_().to(x.dtype)
+
+ @staticmethod
+ def backward(ctx, grad_output):
+ _input, = ctx.saved_tensors
+ return grad_output / (_input ** 2 - 1) ** 0.5
diff --git a/HGWaveNet/utils/util.py b/HGWaveNet/utils/util.py
new file mode 100644
index 0000000000000000000000000000000000000000..44cf875e0b1c6513b4f669494bccf2bece8283bc
--- /dev/null
+++ b/HGWaveNet/utils/util.py
@@ -0,0 +1,62 @@
+import random
+import torch
+import numpy as np
+import logging
+from tqdm import tqdm
+import time
+import networkx as nx
+
+from config import args
+
+
+def init_logger(log_file=None):
+ log_format = logging.Formatter("[%(asctime)s %(levelname)s] %(message)s")
+ logger = logging.getLogger()
+ logger.setLevel(logging.INFO)
+ console_handler = logging.StreamHandler()
+ console_handler.setFormatter(log_format)
+ logger.handlers = [console_handler]
+ if log_file and log_file != '':
+ file_handler = logging.FileHandler(log_file)
+ file_handler.setFormatter(log_format)
+ logger.addHandler(file_handler)
+ return logger
+
+
+logger = init_logger(args.log_file)
+
+
+def set_random(random_seed):
+ random.seed(random_seed)
+ np.random.seed(random_seed)
+ torch.manual_seed(random_seed)
+ torch.cuda.manual_seed(random_seed)
+ torch.cuda.manual_seed_all(random_seed)
+ torch.backends.cudnn.deterministic = True
+ # torch.use_deterministic_algorithms(True)
+ logger.info('fixed random seed')
+
+
+def hyperbolicity_sample(G, num_samples=50000):
+ curr_time = time.time()
+ hyps = []
+ for i in tqdm(range(num_samples)):
+ curr_time = time.time()
+ node_tuple = np.random.choice(G.nodes(), 4, replace=False)
+ s = []
+ try:
+ d01 = nx.shortest_path_length(G, source=node_tuple[0], target=node_tuple[1], weight=None)
+ d23 = nx.shortest_path_length(G, source=node_tuple[2], target=node_tuple[3], weight=None)
+ d02 = nx.shortest_path_length(G, source=node_tuple[0], target=node_tuple[2], weight=None)
+ d13 = nx.shortest_path_length(G, source=node_tuple[1], target=node_tuple[3], weight=None)
+ d03 = nx.shortest_path_length(G, source=node_tuple[0], target=node_tuple[3], weight=None)
+ d12 = nx.shortest_path_length(G, source=node_tuple[1], target=node_tuple[2], weight=None)
+ s.append(d01 + d23)
+ s.append(d02 + d13)
+ s.append(d03 + d12)
+ s.sort()
+ hyps.append((s[-1] - s[-2]) / 2)
+ except Exception as e:
+ continue
+ print('Time for hyp: ', time.time() - curr_time)
+ return max(hyps)
diff --git a/HTGN/__init__.py b/HTGN/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/HTGN/baselines/__init__.py b/HTGN/baselines/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/HTGN/baselines/run_evolvegcn_baselines.py b/HTGN/baselines/run_evolvegcn_baselines.py
new file mode 100644
index 0000000000000000000000000000000000000000..6bb20040bd77341df38115a7b3813807ee17ebe4
--- /dev/null
+++ b/HTGN/baselines/run_evolvegcn_baselines.py
@@ -0,0 +1,173 @@
+import os
+import sys
+import random
+import time
+import math
+import torch
+import numpy as np
+from math import isnan
+import torch.optim as optim
+from sklearn.metrics import accuracy_score, f1_score, recall_score,precision_score,roc_auc_score
+
+BASE_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+sys.path.append(BASE_DIR)
+from HTGN.inits import prepare,prepare_all_data
+from HTGN.models.load_model import load_model
+from HTGN.loss import ReconLoss
+from HTGN.config import args
+from HTGN.utils.util import init_logger, logger
+from HTGN.utils.data_util import loader,prepare_dir
+
+log_interval = 1
+
+
+class Runner(object):
+ def __init__(self):
+ # self.len = data['time_length']
+ # self.start_train = 0
+ # self.train_shots = list(range(0, self.len - args.testlength))
+ # self.test_shots = list(range(self.len - args.testlength, self.len))
+
+ self.train_shots = list(range(0, args.timelength - int(args.testlength * args.timelength)))
+ self.test_shots = list(range(int(args.testlength * args.timelength), args.timelength))
+
+ # if args.trainable_feat:
+ # self.x = None
+ # logger.info("using trainable feature, feature dim: {}".format(args.nfeat))
+ # else:
+ # if args.pre_defined_feature is not None:
+ # import scipy.sparse as sp
+ # feature = sp.load_npz('../data/input/raw/disease/disease_lp.feats.npz').toarray()
+ # self.x = [torch.from_numpy(feature).float().to(args.device)] * len(self.train_shots)
+ # logger.info('using pre-defined feature')
+ # else:
+ # self.x = [torch.eye(args.num_nodes).to(args.device)] * len(self.train_shots)
+ # logger.info('using one-hot feature')
+ # args.nfeat = self.x[0].size(1)
+ self.model = load_model(args).to(args.device)
+ self.adj,self.x,self.labels = prepare_all_data(self.train_shots)
+ self.loss = ReconLoss(args,self.model)
+
+ def optimizer(self):
+ optimizer = optim.Adam(self.model.parameters(), lr=args.lr, weight_decay=args.weight_decay)
+ return optimizer
+
+ def calculate_metrics(self,z,labels):
+ preds = self.model.decode(z)
+ labels = labels.cpu().detach().numpy()
+ preds = preds.cpu().detach().numpy()
+ preds = np.argmax(preds,axis=1)
+ f1 = f1_score(labels, preds)
+ accuracy = accuracy_score(labels, preds)
+ recall = recall_score(labels, preds)
+ precision = precision_score(labels, preds)
+ roc_auc = roc_auc_score(labels,preds )
+ return f1,accuracy,precision,recall,roc_auc
+
+
+ def train(self):
+ minloss = 10
+ min_epoch = 1
+ max_patience = args.patience
+ patience = 0
+ optimizer = self.optimizer()
+ t_total0 = time.time()
+ best_results = [0] * 5
+ for epoch in range(1, args.max_epoch + 1):
+ self.model.train()
+ t0 = time.time()
+ epoch_losses = []
+ self.model.init_hiddens()
+ optimizer.zero_grad()
+ embeddings = self.model(self.adj, self.x)
+ self.model.update_hiddens_all_with(embeddings[-1])
+ # compute loss
+ for t, z in enumerate(embeddings):
+ epoch_loss = self.loss(z,self.labels[t])
+ epoch_losses.append(epoch_loss)
+ sum(epoch_losses).backward()
+ optimizer.step()
+ # update the best results.
+ gpu_mem_alloc = torch.cuda.max_memory_allocated() / 1000000 if torch.cuda.is_available() else 0
+ average_epoch_loss = np.mean([epoch_loss.item() for epoch_loss in epoch_losses])
+ if average_epoch_loss < minloss:
+ minloss = average_epoch_loss
+ best_results = self.test()
+ patience = 0
+ else:
+ patience += 1
+ if epoch > min_epoch and patience > max_patience:
+ print('early stopping')
+ break
+ if epoch % args.log_interval == 0:
+ logger.info('==' * 27)
+ logger.info("Epoch:{}, Loss: {:.3f}, Time: {:.2f}, GPU: {:.1f}MiB".format(epoch, average_epoch_loss,
+ time.time() - t0,
+ gpu_mem_alloc))
+ logger.info(
+ 'Epoch:{}, Accuracy: {:.4f}; F1: {:.4f}; Recall: {:.4f}; Precision: {:.4f}; ROC AUC: {:.4f}, MEMORY: {:.4f}, time: {:.4f}'.format(epoch,
+ best_results[0],
+ best_results[1],
+ best_results[2],
+ best_results[3],
+ best_results[4],
+ best_results[5],
+ best_results[6]))
+ if isnan(epoch_loss):
+ break
+ logger.info('>> Total time : %6.2f' % (time.time() - t_total0))
+ logger.info(">> Parameters: lr:%.4f |Dim:%d |Window:%d |" % (
+ args.lr, args.nhid, args.nb_window))
+
+ # def test(self, epoch, embeddings=None):
+ # auc_list, ap_list = [], []
+ # auc_new_list, ap_new_list = [], []
+ # if embeddings is not None:
+ # embeddings = embeddings.detach()
+ # else:
+ # print('embedding is not exist')
+ # self.model.eval()
+ # self.model.to(args.device)
+ # for t in self.test_shots:
+ # adj,features,labels = prepare(t)
+ # auc, ap = self.loss.predict(embeddings, pos_edge, neg_edge)
+ # auc_new, ap_new = self.loss.predict(embeddings, new_pos_edge, new_neg_edge)
+ # auc_list.append(auc)
+ # ap_list.append(ap)
+ # auc_new_list.append(auc_new)
+ # ap_new_list.append(ap_new)
+ # if epoch % args.log_interval == 0:
+ # logger.info(
+ # 'Epoch:{}, average AUC: {:.4f}; average AP: {:.4f}'.format(epoch, np.mean(auc_list), np.mean(ap_list)))
+ # logger.info('Epoch:{}, average AUC: {:.4f}; average AP: {:.4f}'.format(epoch, np.mean(auc_new_list),
+ # np.mean(ap_new_list)))
+ # return epoch, np.mean(auc_list), np.mean(ap_list), np.mean(auc_new_list), np.mean(ap_new_list)
+ def test(self):
+ f1_list,acc_list,pre_list,rec_list,roc_list,processing_time,occupied_memory = [], [], [], [], [],[],[]
+ self.model.eval()
+ for t in self.test_shots:
+ edge_index, features,labels = prepare(t)
+ start = time.time()
+ adj = [edge_index]
+ feats = [features]
+ embeddings = self.model(adj, feats)[0]
+ f1,accuracy,precision,recall,roc_auc = self.calculate_metrics(embeddings, labels)
+ processing_time.append(time.time() - start)
+ occupied_memory.append(torch.cuda.max_memory_allocated() / 1000000 if torch.cuda.is_available() else 0)
+ f1_list.append(f1)
+ acc_list.append(accuracy)
+ pre_list.append(precision)
+ rec_list.append(recall)
+ roc_list.append(roc_auc)
+
+ return np.mean(f1_list), np.mean(acc_list), np.mean(rec_list), np.mean(pre_list), np.mean(roc_list),np.mean(occupied_memory),np.mean(processing_time)*1000
+
+
+
+if __name__ == '__main__':
+ random.seed(args.seed) # random seed
+ log_folder = prepare_dir(args.output_folder) # 2.create folder
+ init_logger(log_folder + args.dataset + '.txt')
+ run = Runner()
+ run.train()
+ print(run.test())
diff --git a/HTGN/config.py b/HTGN/config.py
new file mode 100644
index 0000000000000000000000000000000000000000..1813d79ee88da6a9255919b700c685c0f4dbb2ac
--- /dev/null
+++ b/HTGN/config.py
@@ -0,0 +1,69 @@
+import argparse
+import torch
+import os
+
+parser = argparse.ArgumentParser(description='HTGN')
+
+
+parser.add_argument('--nb_window', type=int, default=5, help='the length of window')
+parser.add_argument('--dropout', type=float, default=0.1, help='dropout rate (1 - keep probability).')
+parser.add_argument('--weight_decay', type=float, default=0.01, help='weight for L2 loss on basic models.')
+parser.add_argument('--lr', type=float, default=0.00001, help='learning rate') # ton_iot evolveGCN = 0.01, darknet htgn= 0.1, ton_iot HTGN = 0.002, ddos htgn = 0.01
+
+parser.add_argument('--nfeat', type=int, default=75, help='dim of input feature')
+parser.add_argument('--num_nodes', type=int, default=1000, help='number of nodes per graph')
+parser.add_argument('--timelength', type=int, default=26, help='total number of snapshots')
+parser.add_argument('--testlength', type=int, default=.3, help='number of test snapshots')
+parser.add_argument('--nhid', type=int, default=2, help='dim of hidden embedding')
+parser.add_argument('--nout', type=int, default=2, help='dim of output embedding')
+
+parser.add_argument('--curvature', type=float, default=1.0, help='curvature value')
+parser.add_argument('--heads', type=int, default=1, help='attention heads.')
+
+parser.add_argument('--seed', type=int, default=42, help='random seed')
+parser.add_argument('--nclasses', type=int, default=2, help='number of classes')
+parser.add_argument('--fixed_curvature', type=int, default=1, help='fixed (1) curvature or not (0)')
+parser.add_argument('--max_epoch', type=int, default=20, help='number of epochs to train.')
+parser.add_argument('--patience', type=int, default=20, help='patience for early stop')
+parser.add_argument('--repeat', type=int, default=1, help='running times')
+parser.add_argument('--dataset', type=str, default='ddos2019', help='datasets')
+parser.add_argument('--aggregation', type=str, default='att', help='aggregation method: [deg, att]')
+
+# 1.dataset
+
+# 2.experiments
+parser.add_argument('--device', type=str, default='gpu', help='training device')
+parser.add_argument('--device_id', type=str, default='0', help='device id for gpu')
+parser.add_argument('--output_folder', type=str, default='', help='need to be modified')
+parser.add_argument('--use_htc', type=int, default=1, help='use htc or not, default: 1')
+parser.add_argument('--use_hta', type=int, default=1, help='use hta or not, default: 1')
+parser.add_argument('--debug_content', type=str, default='', help='debug_mode content')
+parser.add_argument('--sampling_times', type=int, default=1, help='negative sampling times')
+parser.add_argument('--log_interval', type=int, default=1, help='log interval, default: 20,[20,40,...]')
+parser.add_argument('--pre_defined_feature', default=None, help='pre-defined node feature')
+parser.add_argument('--save_embeddings', type=int, default=0, help='save or not, default:0')
+parser.add_argument('--debug_mode', type=int, default=0, help='debug_mode, 0: normal running; 1: debugging mode')
+parser.add_argument('--min_epoch', type=int, default=100, help='min epoch')
+
+# 3.models
+parser.add_argument('--model', type=str, default='HTGN', help='model name') #HTGN , EGCN
+parser.add_argument('--manifold', type=str, default='PoincareBall', help='Hyperbolic model')
+parser.add_argument('--use_gru', type=bool, default=True, help='use gru or not')
+parser.add_argument('--use_hyperdecoder', type=bool, default=True, help='use hyperbolic decoder or not')
+parser.add_argument('--EPS', type=float, default=1e-15, help='eps')
+parser.add_argument('--bias', type=bool, default=True, help='use bias or not')
+parser.add_argument('--trainable_feat', type=int, default=0,
+ help='using trainable feat or one-hot feat, default: none-trainable feat')
+parser.add_argument('--egcn_type', type=str, default='EGCNO', help='Type of EGCN: EGCNH or EGCNO')
+args = parser.parse_args()
+
+# set the running device
+if int(args.device_id) >= 0 and torch.cuda.is_available():
+ args.device = torch.device("cuda:{}".format(args.device_id))
+ print('using gpu:{} to train the model'.format(args.device_id))
+else:
+ args.device = torch.device(args.device)
+ print('using cpu to train the model')
+
+args.output_folder = '../data/output/log/{}/{}/'.format(args.dataset, args.model)
+args.result_txt = '../data/output/results/{}_{}_result.txt'.format(args.dataset, args.model)
diff --git a/HTGN/data/output/log/ddos2019/EGCN/ddos2019.txt b/HTGN/data/output/log/ddos2019/EGCN/ddos2019.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ceb44a5703ec3fcde469c6d9745efbea09d632f5
--- /dev/null
+++ b/HTGN/data/output/log/ddos2019/EGCN/ddos2019.txt
@@ -0,0 +1,2018 @@
+[2024-06-08 23:51:09,499 INFO] using model EGCN
+[2024-06-08 23:51:35,164 INFO] using model EGCN
+[2024-06-08 23:53:37,730 INFO] using model EGCN
+[2024-06-08 23:57:32,560 INFO] using model EGCN
+[2024-06-08 23:58:56,080 INFO] using model EGCN
+[2024-06-08 23:59:37,029 INFO] using model EGCN
+[2024-06-09 00:00:25,834 INFO] using model EGCN
+[2024-06-09 00:01:51,342 INFO] using model EGCN
+[2024-06-09 00:04:57,140 INFO] using model EGCN
+[2024-06-09 00:05:28,063 INFO] using model EGCN
+[2024-06-09 00:05:51,807 INFO] using model EGCN
+[2024-06-09 00:06:12,618 INFO] using model EGCN
+[2024-06-09 00:06:21,997 INFO] using model EGCN
+[2024-06-09 00:06:43,072 INFO] using model EGCN
+[2024-06-09 00:06:55,381 INFO] using model EGCN
+[2024-06-09 00:07:58,143 INFO] using model EGCN
+[2024-06-09 00:09:26,953 INFO] using model EGCN
+[2024-06-09 00:09:56,034 INFO] using model EGCN
+[2024-06-09 00:12:16,612 INFO] using model EGCN
+[2024-06-09 00:13:22,123 INFO] using model EGCN
+[2024-06-09 00:13:48,435 INFO] using model EGCN
+[2024-06-09 00:15:51,436 INFO] using model EGCN
+[2024-06-09 00:18:22,686 INFO] using model EGCN
+[2024-06-09 00:18:23,562 INFO] ======================================================
+[2024-06-09 00:18:23,562 INFO] Epoch:1, Loss: 0.673, Time: 0.88, GPU: 381.7MiB
+[2024-06-09 00:20:17,786 INFO] using model EGCN
+[2024-06-09 00:20:18,646 INFO] ======================================================
+[2024-06-09 00:20:18,646 INFO] Epoch:1, Loss: 0.715, Time: 0.86, GPU: 381.7MiB
+[2024-06-09 00:20:18,646 INFO] Epoch:1, Accuracy: 0.6637; F1: 0.4969; Precision: 0.4969; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 00:20:18,865 INFO] ======================================================
+[2024-06-09 00:20:18,865 INFO] Epoch:2, Loss: 5.121, Time: 0.22, GPU: 386.9MiB
+[2024-06-09 00:20:18,865 INFO] Epoch:2, Accuracy: 0.6637; F1: 0.4969; Precision: 0.4969; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 00:20:19,084 INFO] ======================================================
+[2024-06-09 00:20:19,084 INFO] Epoch:3, Loss: 16.854, Time: 0.22, GPU: 386.9MiB
+[2024-06-09 00:20:19,100 INFO] Epoch:3, Accuracy: 0.6637; F1: 0.4969; Precision: 0.4969; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 00:20:19,319 INFO] ======================================================
+[2024-06-09 00:20:19,319 INFO] Epoch:4, Loss: 146.112, Time: 0.22, GPU: 386.9MiB
+[2024-06-09 00:20:19,319 INFO] Epoch:4, Accuracy: 0.6637; F1: 0.4969; Precision: 0.4969; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 00:20:19,537 INFO] ======================================================
+[2024-06-09 00:20:19,537 INFO] Epoch:5, Loss: 130.102, Time: 0.22, GPU: 386.9MiB
+[2024-06-09 00:20:19,537 INFO] Epoch:5, Accuracy: 0.6637; F1: 0.4969; Precision: 0.4969; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 00:20:19,772 INFO] ======================================================
+[2024-06-09 00:20:19,772 INFO] Epoch:6, Loss: 22.663, Time: 0.23, GPU: 386.9MiB
+[2024-06-09 00:20:19,772 INFO] Epoch:6, Accuracy: 0.6637; F1: 0.4969; Precision: 0.4969; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 00:20:19,991 INFO] ======================================================
+[2024-06-09 00:20:19,991 INFO] Epoch:7, Loss: 21.117, Time: 0.22, GPU: 386.9MiB
+[2024-06-09 00:20:19,991 INFO] Epoch:7, Accuracy: 0.6637; F1: 0.4969; Precision: 0.4969; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 00:20:20,210 INFO] ======================================================
+[2024-06-09 00:20:20,210 INFO] Epoch:8, Loss: 109.549, Time: 0.22, GPU: 386.9MiB
+[2024-06-09 00:20:20,210 INFO] Epoch:8, Accuracy: 0.6637; F1: 0.4969; Precision: 0.4969; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 00:20:20,429 INFO] ======================================================
+[2024-06-09 00:20:20,429 INFO] Epoch:9, Loss: 24.503, Time: 0.22, GPU: 386.9MiB
+[2024-06-09 00:20:20,429 INFO] Epoch:9, Accuracy: 0.6637; F1: 0.4969; Precision: 0.4969; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 00:20:20,663 INFO] ======================================================
+[2024-06-09 00:20:20,663 INFO] Epoch:10, Loss: 40.330, Time: 0.23, GPU: 386.9MiB
+[2024-06-09 00:20:20,663 INFO] Epoch:10, Accuracy: 0.6637; F1: 0.4969; Precision: 0.4969; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 00:20:20,663 INFO] >> Total time : 2.88
+[2024-06-09 00:20:20,663 INFO] >> Parameters: lr:0.1000 |Dim:78 |Window:5 |
+[2024-06-09 00:25:57,251 INFO] using model EGCN
+[2024-06-09 00:25:58,080 INFO] ======================================================
+[2024-06-09 00:25:58,080 INFO] Epoch:1, Loss: 0.696, Time: 0.83, GPU: 381.7MiB
+[2024-06-09 00:25:58,080 INFO] Epoch:1, Accuracy: 0.0992; F1: 0.2085; Precision: 0.0974; Recall: 0.1028; ROC AUC: 0.2067
+[2024-06-09 00:25:58,314 INFO] ======================================================
+[2024-06-09 00:25:58,314 INFO] Epoch:2, Loss: 80.698, Time: 0.23, GPU: 386.9MiB
+[2024-06-09 00:25:58,314 INFO] Epoch:2, Accuracy: 0.0992; F1: 0.2085; Precision: 0.0974; Recall: 0.1028; ROC AUC: 0.2067
+[2024-06-09 00:25:58,533 INFO] ======================================================
+[2024-06-09 00:25:58,533 INFO] Epoch:3, Loss: 232.119, Time: 0.22, GPU: 386.9MiB
+[2024-06-09 00:25:58,533 INFO] Epoch:3, Accuracy: 0.0992; F1: 0.2085; Precision: 0.0974; Recall: 0.1028; ROC AUC: 0.2067
+[2024-06-09 00:25:58,751 INFO] ======================================================
+[2024-06-09 00:25:58,751 INFO] Epoch:4, Loss: 80.944, Time: 0.22, GPU: 386.9MiB
+[2024-06-09 00:25:58,751 INFO] Epoch:4, Accuracy: 0.0992; F1: 0.2085; Precision: 0.0974; Recall: 0.1028; ROC AUC: 0.2067
+[2024-06-09 00:25:58,970 INFO] ======================================================
+[2024-06-09 00:25:58,970 INFO] Epoch:5, Loss: 12.317, Time: 0.22, GPU: 386.9MiB
+[2024-06-09 00:25:58,970 INFO] Epoch:5, Accuracy: 0.0992; F1: 0.2085; Precision: 0.0974; Recall: 0.1028; ROC AUC: 0.2067
+[2024-06-09 00:25:59,204 INFO] ======================================================
+[2024-06-09 00:25:59,204 INFO] Epoch:6, Loss: 18.135, Time: 0.23, GPU: 386.9MiB
+[2024-06-09 00:25:59,204 INFO] Epoch:6, Accuracy: 0.0992; F1: 0.2085; Precision: 0.0974; Recall: 0.1028; ROC AUC: 0.2067
+[2024-06-09 00:25:59,423 INFO] ======================================================
+[2024-06-09 00:25:59,423 INFO] Epoch:7, Loss: 30.711, Time: 0.22, GPU: 386.9MiB
+[2024-06-09 00:25:59,423 INFO] Epoch:7, Accuracy: 0.0992; F1: 0.2085; Precision: 0.0974; Recall: 0.1028; ROC AUC: 0.2067
+[2024-06-09 00:25:59,642 INFO] ======================================================
+[2024-06-09 00:25:59,642 INFO] Epoch:8, Loss: 42.353, Time: 0.22, GPU: 386.9MiB
+[2024-06-09 00:25:59,642 INFO] Epoch:8, Accuracy: 0.0992; F1: 0.2085; Precision: 0.0974; Recall: 0.1028; ROC AUC: 0.2067
+[2024-06-09 00:25:59,861 INFO] ======================================================
+[2024-06-09 00:25:59,861 INFO] Epoch:9, Loss: 4.565, Time: 0.22, GPU: 386.9MiB
+[2024-06-09 00:25:59,861 INFO] Epoch:9, Accuracy: 0.0992; F1: 0.2085; Precision: 0.0974; Recall: 0.1028; ROC AUC: 0.2067
+[2024-06-09 00:26:00,080 INFO] ======================================================
+[2024-06-09 00:26:00,080 INFO] Epoch:10, Loss: 11.289, Time: 0.22, GPU: 386.9MiB
+[2024-06-09 00:26:00,080 INFO] Epoch:10, Accuracy: 0.0992; F1: 0.2085; Precision: 0.0974; Recall: 0.1028; ROC AUC: 0.2067
+[2024-06-09 00:26:00,080 INFO] >> Total time : 2.83
+[2024-06-09 00:26:00,080 INFO] >> Parameters: lr:0.1000 |Dim:78 |Window:5 |
+[2024-06-09 00:26:19,676 INFO] using model EGCN
+[2024-06-09 00:26:20,618 INFO] ======================================================
+[2024-06-09 00:26:20,618 INFO] Epoch:1, Loss: 0.699, Time: 0.93, GPU: 381.7MiB
+[2024-06-09 00:26:20,618 INFO] Epoch:1, Accuracy: 0.1275; F1: 0.5237; Precision: 0.4756; Recall: 0.0870; ROC AUC: 0.5221
+[2024-06-09 00:26:20,864 INFO] ======================================================
+[2024-06-09 00:26:20,864 INFO] Epoch:2, Loss: 3.020, Time: 0.25, GPU: 386.9MiB
+[2024-06-09 00:26:20,864 INFO] Epoch:2, Accuracy: 0.1275; F1: 0.5237; Precision: 0.4756; Recall: 0.0870; ROC AUC: 0.5221
+[2024-06-09 00:26:21,100 INFO] ======================================================
+[2024-06-09 00:26:21,100 INFO] Epoch:3, Loss: 36.443, Time: 0.24, GPU: 386.9MiB
+[2024-06-09 00:26:21,100 INFO] Epoch:3, Accuracy: 0.1275; F1: 0.5237; Precision: 0.4756; Recall: 0.0870; ROC AUC: 0.5221
+[2024-06-09 00:26:21,335 INFO] ======================================================
+[2024-06-09 00:26:21,335 INFO] Epoch:4, Loss: 215.123, Time: 0.24, GPU: 386.9MiB
+[2024-06-09 00:26:21,335 INFO] Epoch:4, Accuracy: 0.1275; F1: 0.5237; Precision: 0.4756; Recall: 0.0870; ROC AUC: 0.5221
+[2024-06-09 00:26:21,570 INFO] ======================================================
+[2024-06-09 00:26:21,570 INFO] Epoch:5, Loss: 34.208, Time: 0.24, GPU: 386.9MiB
+[2024-06-09 00:26:21,570 INFO] Epoch:5, Accuracy: 0.1275; F1: 0.5237; Precision: 0.4756; Recall: 0.0870; ROC AUC: 0.5221
+[2024-06-09 00:26:21,806 INFO] ======================================================
+[2024-06-09 00:26:21,806 INFO] Epoch:6, Loss: 38.562, Time: 0.24, GPU: 386.9MiB
+[2024-06-09 00:26:21,806 INFO] Epoch:6, Accuracy: 0.1275; F1: 0.5237; Precision: 0.4756; Recall: 0.0870; ROC AUC: 0.5221
+[2024-06-09 00:26:22,043 INFO] ======================================================
+[2024-06-09 00:26:22,043 INFO] Epoch:7, Loss: 28.488, Time: 0.24, GPU: 386.9MiB
+[2024-06-09 00:26:22,043 INFO] Epoch:7, Accuracy: 0.1275; F1: 0.5237; Precision: 0.4756; Recall: 0.0870; ROC AUC: 0.5221
+[2024-06-09 00:26:22,279 INFO] ======================================================
+[2024-06-09 00:26:22,279 INFO] Epoch:8, Loss: 71.245, Time: 0.24, GPU: 386.9MiB
+[2024-06-09 00:26:22,279 INFO] Epoch:8, Accuracy: 0.1275; F1: 0.5237; Precision: 0.4756; Recall: 0.0870; ROC AUC: 0.5221
+[2024-06-09 00:26:22,514 INFO] ======================================================
+[2024-06-09 00:26:22,514 INFO] Epoch:9, Loss: 35.648, Time: 0.23, GPU: 386.9MiB
+[2024-06-09 00:26:22,514 INFO] Epoch:9, Accuracy: 0.1275; F1: 0.5237; Precision: 0.4756; Recall: 0.0870; ROC AUC: 0.5221
+[2024-06-09 00:26:22,734 INFO] ======================================================
+[2024-06-09 00:26:22,734 INFO] Epoch:10, Loss: 31.362, Time: 0.22, GPU: 386.9MiB
+[2024-06-09 00:26:22,734 INFO] Epoch:10, Accuracy: 0.1275; F1: 0.5237; Precision: 0.4756; Recall: 0.0870; ROC AUC: 0.5221
+[2024-06-09 00:26:22,749 INFO] >> Total time : 3.06
+[2024-06-09 00:26:22,749 INFO] >> Parameters: lr:0.1000 |Dim:78 |Window:5 |
+[2024-06-09 00:26:58,817 INFO] using model EGCN
+[2024-06-09 00:26:59,630 INFO] ======================================================
+[2024-06-09 00:26:59,630 INFO] Epoch:1, Loss: 0.689, Time: 0.81, GPU: 244.3MiB
+[2024-06-09 00:26:59,630 INFO] Epoch:1, Accuracy: 0.3982; F1: 0.6803; Precision: 0.4766; Recall: 0.3633; ROC AUC: 0.6806
+[2024-06-09 00:26:59,817 INFO] ======================================================
+[2024-06-09 00:26:59,817 INFO] Epoch:2, Loss: 1.079, Time: 0.19, GPU: 275.4MiB
+[2024-06-09 00:26:59,817 INFO] Epoch:2, Accuracy: 0.3982; F1: 0.6803; Precision: 0.4766; Recall: 0.3633; ROC AUC: 0.6806
+[2024-06-09 00:27:00,005 INFO] ======================================================
+[2024-06-09 00:27:00,005 INFO] Epoch:3, Loss: 17.799, Time: 0.19, GPU: 275.4MiB
+[2024-06-09 00:27:00,005 INFO] Epoch:3, Accuracy: 0.3982; F1: 0.6803; Precision: 0.4766; Recall: 0.3633; ROC AUC: 0.6806
+[2024-06-09 00:27:00,567 INFO] ======================================================
+[2024-06-09 00:27:00,567 INFO] Epoch:4, Loss: 0.235, Time: 0.56, GPU: 275.4MiB
+[2024-06-09 00:27:00,567 INFO] Epoch:4, Accuracy: 0.1348; F1: 0.0899; Precision: 0.1236; Recall: 0.1514; ROC AUC: 0.0907
+[2024-06-09 00:27:00,755 INFO] ======================================================
+[2024-06-09 00:27:00,755 INFO] Epoch:5, Loss: 7.018, Time: 0.19, GPU: 275.6MiB
+[2024-06-09 00:27:00,755 INFO] Epoch:5, Accuracy: 0.1348; F1: 0.0899; Precision: 0.1236; Recall: 0.1514; ROC AUC: 0.0907
+[2024-06-09 00:27:00,942 INFO] ======================================================
+[2024-06-09 00:27:00,942 INFO] Epoch:6, Loss: 2.213, Time: 0.19, GPU: 275.6MiB
+[2024-06-09 00:27:00,942 INFO] Epoch:6, Accuracy: 0.1348; F1: 0.0899; Precision: 0.1236; Recall: 0.1514; ROC AUC: 0.0907
+[2024-06-09 00:27:01,114 INFO] ======================================================
+[2024-06-09 00:27:01,114 INFO] Epoch:7, Loss: 0.296, Time: 0.17, GPU: 275.6MiB
+[2024-06-09 00:27:01,114 INFO] Epoch:7, Accuracy: 0.1348; F1: 0.0899; Precision: 0.1236; Recall: 0.1514; ROC AUC: 0.0907
+[2024-06-09 00:27:01,302 INFO] ======================================================
+[2024-06-09 00:27:01,302 INFO] Epoch:8, Loss: 0.585, Time: 0.19, GPU: 275.6MiB
+[2024-06-09 00:27:01,302 INFO] Epoch:8, Accuracy: 0.1348; F1: 0.0899; Precision: 0.1236; Recall: 0.1514; ROC AUC: 0.0907
+[2024-06-09 00:27:01,489 INFO] ======================================================
+[2024-06-09 00:27:01,489 INFO] Epoch:9, Loss: 0.736, Time: 0.19, GPU: 275.6MiB
+[2024-06-09 00:27:01,489 INFO] Epoch:9, Accuracy: 0.1348; F1: 0.0899; Precision: 0.1236; Recall: 0.1514; ROC AUC: 0.0907
+[2024-06-09 00:27:01,678 INFO] ======================================================
+[2024-06-09 00:27:01,678 INFO] Epoch:10, Loss: 0.479, Time: 0.19, GPU: 275.6MiB
+[2024-06-09 00:27:01,679 INFO] Epoch:10, Accuracy: 0.1348; F1: 0.0899; Precision: 0.1236; Recall: 0.1514; ROC AUC: 0.0907
+[2024-06-09 00:27:01,679 INFO] >> Total time : 2.86
+[2024-06-09 00:27:01,679 INFO] >> Parameters: lr:0.1000 |Dim:20 |Window:5 |
+[2024-06-09 00:34:06,389 INFO] using model EGCN
+[2024-06-09 00:34:07,686 INFO] ======================================================
+[2024-06-09 00:34:07,686 INFO] Epoch:1, Loss: 0.684, Time: 1.30, GPU: 584.6MiB
+[2024-06-09 00:34:07,702 INFO] Epoch:1, Accuracy: 0.7261; F1: 0.6223; Precision: 0.5710; Recall: 1.0000; ROC AUC: 0.6235
+[2024-06-09 00:34:08,108 INFO] ======================================================
+[2024-06-09 00:34:08,108 INFO] Epoch:2, Loss: 184.936, Time: 0.41, GPU: 626.1MiB
+[2024-06-09 00:34:08,108 INFO] Epoch:2, Accuracy: 0.7261; F1: 0.6223; Precision: 0.5710; Recall: 1.0000; ROC AUC: 0.6235
+[2024-06-09 00:34:08,514 INFO] ======================================================
+[2024-06-09 00:34:08,514 INFO] Epoch:3, Loss: 135.167, Time: 0.41, GPU: 626.1MiB
+[2024-06-09 00:34:08,514 INFO] Epoch:3, Accuracy: 0.7261; F1: 0.6223; Precision: 0.5710; Recall: 1.0000; ROC AUC: 0.6235
+[2024-06-09 00:34:08,935 INFO] ======================================================
+[2024-06-09 00:34:08,935 INFO] Epoch:4, Loss: 581.957, Time: 0.42, GPU: 626.1MiB
+[2024-06-09 00:34:08,935 INFO] Epoch:4, Accuracy: 0.7261; F1: 0.6223; Precision: 0.5710; Recall: 1.0000; ROC AUC: 0.6235
+[2024-06-09 00:34:09,350 INFO] ======================================================
+[2024-06-09 00:34:09,350 INFO] Epoch:5, Loss: 222.356, Time: 0.42, GPU: 626.1MiB
+[2024-06-09 00:34:09,350 INFO] Epoch:5, Accuracy: 0.7261; F1: 0.6223; Precision: 0.5710; Recall: 1.0000; ROC AUC: 0.6235
+[2024-06-09 00:34:09,763 INFO] ======================================================
+[2024-06-09 00:34:09,763 INFO] Epoch:6, Loss: 20.129, Time: 0.41, GPU: 626.1MiB
+[2024-06-09 00:34:09,763 INFO] Epoch:6, Accuracy: 0.7261; F1: 0.6223; Precision: 0.5710; Recall: 1.0000; ROC AUC: 0.6235
+[2024-06-09 00:34:10,224 INFO] ======================================================
+[2024-06-09 00:34:10,224 INFO] Epoch:7, Loss: 21.817, Time: 0.46, GPU: 626.1MiB
+[2024-06-09 00:34:10,225 INFO] Epoch:7, Accuracy: 0.7261; F1: 0.6223; Precision: 0.5710; Recall: 1.0000; ROC AUC: 0.6235
+[2024-06-09 00:34:10,634 INFO] ======================================================
+[2024-06-09 00:34:10,634 INFO] Epoch:8, Loss: 25.098, Time: 0.41, GPU: 626.1MiB
+[2024-06-09 00:34:10,634 INFO] Epoch:8, Accuracy: 0.7261; F1: 0.6223; Precision: 0.5710; Recall: 1.0000; ROC AUC: 0.6235
+[2024-06-09 00:34:11,200 INFO] ======================================================
+[2024-06-09 00:34:11,200 INFO] Epoch:9, Loss: 24.069, Time: 0.57, GPU: 626.1MiB
+[2024-06-09 00:34:11,200 INFO] Epoch:9, Accuracy: 0.7261; F1: 0.6223; Precision: 0.5710; Recall: 1.0000; ROC AUC: 0.6235
+[2024-06-09 00:34:11,756 INFO] ======================================================
+[2024-06-09 00:34:11,757 INFO] Epoch:10, Loss: 30.640, Time: 0.56, GPU: 626.1MiB
+[2024-06-09 00:34:11,757 INFO] Epoch:10, Accuracy: 0.7261; F1: 0.6223; Precision: 0.5710; Recall: 1.0000; ROC AUC: 0.6235
+[2024-06-09 00:34:11,757 INFO] >> Total time : 5.37
+[2024-06-09 00:34:11,757 INFO] >> Parameters: lr:0.1000 |Dim:128 |Window:5 |
+[2024-06-09 00:34:29,685 INFO] using model EGCN
+[2024-06-09 00:34:30,966 INFO] ======================================================
+[2024-06-09 00:34:30,966 INFO] Epoch:1, Loss: 0.687, Time: 1.28, GPU: 584.6MiB
+[2024-06-09 00:34:30,966 INFO] Epoch:1, Accuracy: 0.5901; F1: 0.5006; Precision: 0.4425; Recall: 0.8857; ROC AUC: 0.5000
+[2024-06-09 00:34:31,366 INFO] ======================================================
+[2024-06-09 00:34:31,366 INFO] Epoch:2, Loss: 238.953, Time: 0.40, GPU: 626.1MiB
+[2024-06-09 00:34:31,366 INFO] Epoch:2, Accuracy: 0.5901; F1: 0.5006; Precision: 0.4425; Recall: 0.8857; ROC AUC: 0.5000
+[2024-06-09 00:34:31,753 INFO] ======================================================
+[2024-06-09 00:34:31,753 INFO] Epoch:3, Loss: 181.872, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:34:31,753 INFO] Epoch:3, Accuracy: 0.5901; F1: 0.5006; Precision: 0.4425; Recall: 0.8857; ROC AUC: 0.5000
+[2024-06-09 00:34:32,159 INFO] ======================================================
+[2024-06-09 00:34:32,159 INFO] Epoch:4, Loss: 595.222, Time: 0.41, GPU: 626.1MiB
+[2024-06-09 00:34:32,159 INFO] Epoch:4, Accuracy: 0.5901; F1: 0.5006; Precision: 0.4425; Recall: 0.8857; ROC AUC: 0.5000
+[2024-06-09 00:34:32,550 INFO] ======================================================
+[2024-06-09 00:34:32,550 INFO] Epoch:5, Loss: 199.036, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:34:32,550 INFO] Epoch:5, Accuracy: 0.5901; F1: 0.5006; Precision: 0.4425; Recall: 0.8857; ROC AUC: 0.5000
+[2024-06-09 00:34:32,941 INFO] ======================================================
+[2024-06-09 00:34:32,941 INFO] Epoch:6, Loss: 136.797, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:34:32,941 INFO] Epoch:6, Accuracy: 0.5901; F1: 0.5006; Precision: 0.4425; Recall: 0.8857; ROC AUC: 0.5000
+[2024-06-09 00:34:33,332 INFO] ======================================================
+[2024-06-09 00:34:33,332 INFO] Epoch:7, Loss: 127.583, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:34:33,332 INFO] Epoch:7, Accuracy: 0.5901; F1: 0.5006; Precision: 0.4425; Recall: 0.8857; ROC AUC: 0.5000
+[2024-06-09 00:34:33,726 INFO] ======================================================
+[2024-06-09 00:34:33,727 INFO] Epoch:8, Loss: 66.813, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:34:33,727 INFO] Epoch:8, Accuracy: 0.5901; F1: 0.5006; Precision: 0.4425; Recall: 0.8857; ROC AUC: 0.5000
+[2024-06-09 00:34:34,113 INFO] ======================================================
+[2024-06-09 00:34:34,113 INFO] Epoch:9, Loss: 18.697, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:34:34,113 INFO] Epoch:9, Accuracy: 0.5901; F1: 0.5006; Precision: 0.4425; Recall: 0.8857; ROC AUC: 0.5000
+[2024-06-09 00:34:34,504 INFO] ======================================================
+[2024-06-09 00:34:34,504 INFO] Epoch:10, Loss: 24.988, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:34:34,504 INFO] Epoch:10, Accuracy: 0.5901; F1: 0.5006; Precision: 0.4425; Recall: 0.8857; ROC AUC: 0.5000
+[2024-06-09 00:34:34,504 INFO] >> Total time : 4.82
+[2024-06-09 00:34:34,504 INFO] >> Parameters: lr:0.1000 |Dim:128 |Window:5 |
+[2024-06-09 00:35:15,835 INFO] using model EGCN
+[2024-06-09 00:35:29,475 INFO] using model EGCN
+[2024-06-09 00:35:30,733 INFO] ======================================================
+[2024-06-09 00:35:30,733 INFO] Epoch:1, Loss: 0.700, Time: 1.26, GPU: 584.6MiB
+[2024-06-09 00:35:30,733 INFO] Epoch:1, Accuracy: 0.0000; F1: 0.5012; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-06-09 00:35:31,138 INFO] ======================================================
+[2024-06-09 00:35:31,138 INFO] Epoch:2, Loss: 87.497, Time: 0.41, GPU: 626.1MiB
+[2024-06-09 00:35:31,138 INFO] Epoch:2, Accuracy: 0.0000; F1: 0.5012; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-06-09 00:35:31,529 INFO] ======================================================
+[2024-06-09 00:35:31,529 INFO] Epoch:3, Loss: 90.498, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:35:31,529 INFO] Epoch:3, Accuracy: 0.0000; F1: 0.5012; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-06-09 00:35:31,935 INFO] ======================================================
+[2024-06-09 00:35:31,935 INFO] Epoch:4, Loss: 617.389, Time: 0.41, GPU: 626.1MiB
+[2024-06-09 00:35:31,935 INFO] Epoch:4, Accuracy: 0.0000; F1: 0.5012; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-06-09 00:35:32,326 INFO] ======================================================
+[2024-06-09 00:35:32,326 INFO] Epoch:5, Loss: 1309.330, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:35:32,326 INFO] Epoch:5, Accuracy: 0.0000; F1: 0.5012; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-06-09 00:35:32,717 INFO] ======================================================
+[2024-06-09 00:35:32,717 INFO] Epoch:6, Loss: 220.100, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:35:32,717 INFO] Epoch:6, Accuracy: 0.0000; F1: 0.5012; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-06-09 00:35:33,108 INFO] ======================================================
+[2024-06-09 00:35:33,108 INFO] Epoch:7, Loss: 537.075, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:35:33,108 INFO] Epoch:7, Accuracy: 0.0000; F1: 0.5012; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-06-09 00:35:33,499 INFO] ======================================================
+[2024-06-09 00:35:33,499 INFO] Epoch:8, Loss: 50.598, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:35:33,499 INFO] Epoch:8, Accuracy: 0.0000; F1: 0.5012; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-06-09 00:35:33,889 INFO] ======================================================
+[2024-06-09 00:35:33,889 INFO] Epoch:9, Loss: 155.902, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:35:33,889 INFO] Epoch:9, Accuracy: 0.0000; F1: 0.5012; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-06-09 00:35:34,280 INFO] ======================================================
+[2024-06-09 00:35:34,280 INFO] Epoch:10, Loss: 209.360, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:35:34,280 INFO] Epoch:10, Accuracy: 0.0000; F1: 0.5012; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000
+[2024-06-09 00:35:34,280 INFO] >> Total time : 4.80
+[2024-06-09 00:35:34,280 INFO] >> Parameters: lr:0.1000 |Dim:128
+[2024-06-09 00:35:45,632 INFO] using model EGCN
+[2024-06-09 00:35:46,916 INFO] ======================================================
+[2024-06-09 00:35:46,916 INFO] Epoch:1, Loss: 0.687, Time: 1.28, GPU: 584.6MiB
+[2024-06-09 00:35:46,916 INFO] Epoch:1, Accuracy: 0.7090; F1: 0.7729; Precision: 0.9631; Recall: 0.5680; ROC AUC: 0.7731
+[2024-06-09 00:35:47,316 INFO] ======================================================
+[2024-06-09 00:35:47,316 INFO] Epoch:2, Loss: 5.528, Time: 0.40, GPU: 626.1MiB
+[2024-06-09 00:35:47,316 INFO] Epoch:2, Accuracy: 0.7090; F1: 0.7729; Precision: 0.9631; Recall: 0.5680; ROC AUC: 0.7731
+[2024-06-09 00:35:47,732 INFO] ======================================================
+[2024-06-09 00:35:47,732 INFO] Epoch:3, Loss: 2539.788, Time: 0.42, GPU: 626.1MiB
+[2024-06-09 00:35:47,732 INFO] Epoch:3, Accuracy: 0.7090; F1: 0.7729; Precision: 0.9631; Recall: 0.5680; ROC AUC: 0.7731
+[2024-06-09 00:35:48,122 INFO] ======================================================
+[2024-06-09 00:35:48,122 INFO] Epoch:4, Loss: 52.573, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:35:48,122 INFO] Epoch:4, Accuracy: 0.7090; F1: 0.7729; Precision: 0.9631; Recall: 0.5680; ROC AUC: 0.7731
+[2024-06-09 00:35:48,513 INFO] ======================================================
+[2024-06-09 00:35:48,513 INFO] Epoch:5, Loss: 138.546, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:35:48,513 INFO] Epoch:5, Accuracy: 0.7090; F1: 0.7729; Precision: 0.9631; Recall: 0.5680; ROC AUC: 0.7731
+[2024-06-09 00:35:48,904 INFO] ======================================================
+[2024-06-09 00:35:48,904 INFO] Epoch:6, Loss: 97.163, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:35:48,904 INFO] Epoch:6, Accuracy: 0.7090; F1: 0.7729; Precision: 0.9631; Recall: 0.5680; ROC AUC: 0.7731
+[2024-06-09 00:35:49,294 INFO] ======================================================
+[2024-06-09 00:35:49,294 INFO] Epoch:7, Loss: 246.775, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:35:49,294 INFO] Epoch:7, Accuracy: 0.7090; F1: 0.7729; Precision: 0.9631; Recall: 0.5680; ROC AUC: 0.7731
+[2024-06-09 00:35:49,685 INFO] ======================================================
+[2024-06-09 00:35:49,685 INFO] Epoch:8, Loss: 398.997, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:35:49,685 INFO] Epoch:8, Accuracy: 0.7090; F1: 0.7729; Precision: 0.9631; Recall: 0.5680; ROC AUC: 0.7731
+[2024-06-09 00:35:50,076 INFO] ======================================================
+[2024-06-09 00:35:50,076 INFO] Epoch:9, Loss: 146.151, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:35:50,076 INFO] Epoch:9, Accuracy: 0.7090; F1: 0.7729; Precision: 0.9631; Recall: 0.5680; ROC AUC: 0.7731
+[2024-06-09 00:35:50,467 INFO] ======================================================
+[2024-06-09 00:35:50,467 INFO] Epoch:10, Loss: 29.302, Time: 0.39, GPU: 626.1MiB
+[2024-06-09 00:35:50,467 INFO] Epoch:10, Accuracy: 0.7090; F1: 0.7729; Precision: 0.9631; Recall: 0.5680; ROC AUC: 0.7731
+[2024-06-09 00:35:50,467 INFO] >> Total time : 4.83
+[2024-06-09 00:35:50,467 INFO] >> Parameters: lr:0.1000 |Dim:128
+[2024-06-09 00:36:46,733 INFO] using model EGCN
+[2024-06-09 00:36:47,749 INFO] ======================================================
+[2024-06-09 00:36:47,765 INFO] Epoch:1, Loss: 0.688, Time: 1.03, GPU: 573.1MiB
+[2024-06-09 00:36:47,765 INFO] Epoch:1, Accuracy: 0.7164; F1: 0.5936; Precision: 0.6109; Recall: 0.9507; ROC AUC: 0.5938
+[2024-06-09 00:36:48,077 INFO] ======================================================
+[2024-06-09 00:36:48,077 INFO] Epoch:2, Loss: 35.807, Time: 0.31, GPU: 610.9MiB
+[2024-06-09 00:36:48,077 INFO] Epoch:2, Accuracy: 0.7164; F1: 0.5936; Precision: 0.6109; Recall: 0.9507; ROC AUC: 0.5938
+[2024-06-09 00:36:48,405 INFO] ======================================================
+[2024-06-09 00:36:48,405 INFO] Epoch:3, Loss: 82.788, Time: 0.33, GPU: 610.9MiB
+[2024-06-09 00:36:48,405 INFO] Epoch:3, Accuracy: 0.7164; F1: 0.5936; Precision: 0.6109; Recall: 0.9507; ROC AUC: 0.5938
+[2024-06-09 00:36:48,718 INFO] ======================================================
+[2024-06-09 00:36:48,718 INFO] Epoch:4, Loss: 85.125, Time: 0.31, GPU: 610.9MiB
+[2024-06-09 00:36:48,718 INFO] Epoch:4, Accuracy: 0.7164; F1: 0.5936; Precision: 0.6109; Recall: 0.9507; ROC AUC: 0.5938
+[2024-06-09 00:36:49,046 INFO] ======================================================
+[2024-06-09 00:36:49,046 INFO] Epoch:5, Loss: 61.229, Time: 0.33, GPU: 610.9MiB
+[2024-06-09 00:36:49,046 INFO] Epoch:5, Accuracy: 0.7164; F1: 0.5936; Precision: 0.6109; Recall: 0.9507; ROC AUC: 0.5938
+[2024-06-09 00:36:49,359 INFO] ======================================================
+[2024-06-09 00:36:49,359 INFO] Epoch:6, Loss: 45.981, Time: 0.31, GPU: 610.9MiB
+[2024-06-09 00:36:49,359 INFO] Epoch:6, Accuracy: 0.7164; F1: 0.5936; Precision: 0.6109; Recall: 0.9507; ROC AUC: 0.5938
+[2024-06-09 00:36:49,672 INFO] ======================================================
+[2024-06-09 00:36:49,672 INFO] Epoch:7, Loss: 7.000, Time: 0.31, GPU: 610.9MiB
+[2024-06-09 00:36:49,672 INFO] Epoch:7, Accuracy: 0.7164; F1: 0.5936; Precision: 0.6109; Recall: 0.9507; ROC AUC: 0.5938
+[2024-06-09 00:36:50,000 INFO] ======================================================
+[2024-06-09 00:36:50,000 INFO] Epoch:8, Loss: 8.147, Time: 0.33, GPU: 610.9MiB
+[2024-06-09 00:36:50,000 INFO] Epoch:8, Accuracy: 0.7164; F1: 0.5936; Precision: 0.6109; Recall: 0.9507; ROC AUC: 0.5938
+[2024-06-09 00:36:50,313 INFO] ======================================================
+[2024-06-09 00:36:50,313 INFO] Epoch:9, Loss: 4.498, Time: 0.31, GPU: 610.9MiB
+[2024-06-09 00:36:50,313 INFO] Epoch:9, Accuracy: 0.7164; F1: 0.5936; Precision: 0.6109; Recall: 0.9507; ROC AUC: 0.5938
+[2024-06-09 00:36:50,641 INFO] ======================================================
+[2024-06-09 00:36:50,641 INFO] Epoch:10, Loss: 8.580, Time: 0.33, GPU: 610.9MiB
+[2024-06-09 00:36:50,641 INFO] Epoch:10, Accuracy: 0.7164; F1: 0.5936; Precision: 0.6109; Recall: 0.9507; ROC AUC: 0.5938
+[2024-06-09 00:36:50,641 INFO] >> Total time : 3.91
+[2024-06-09 00:36:50,641 INFO] >> Parameters: lr:0.1000 |Dim:128 |Window:5 |
+[2024-06-09 01:05:50,990 INFO] using model EGCN
+[2024-06-09 01:05:53,344 INFO] ======================================================
+[2024-06-09 01:05:53,344 INFO] Epoch:1, Loss: 0.689, Time: 2.35, GPU: 1484.8MiB
+[2024-06-09 01:05:53,344 INFO] Epoch:1, Accuracy: 0.4919; F1: 0.5034; Precision: 0.4031; Recall: 0.6667; ROC AUC: 0.5042
+[2024-06-09 01:05:54,257 INFO] ======================================================
+[2024-06-09 01:05:54,257 INFO] Epoch:2, Loss: 50.676, Time: 0.91, GPU: 1798.6MiB
+[2024-06-09 01:05:54,257 INFO] Epoch:2, Accuracy: 0.4919; F1: 0.5034; Precision: 0.4031; Recall: 0.6667; ROC AUC: 0.5042
+[2024-06-09 01:05:55,190 INFO] ======================================================
+[2024-06-09 01:05:55,190 INFO] Epoch:3, Loss: 145.401, Time: 0.93, GPU: 1798.6MiB
+[2024-06-09 01:05:55,191 INFO] Epoch:3, Accuracy: 0.4919; F1: 0.5034; Precision: 0.4031; Recall: 0.6667; ROC AUC: 0.5042
+[2024-06-09 01:05:56,092 INFO] ======================================================
+[2024-06-09 01:05:56,092 INFO] Epoch:4, Loss: 623.244, Time: 0.90, GPU: 1798.6MiB
+[2024-06-09 01:05:56,092 INFO] Epoch:4, Accuracy: 0.4919; F1: 0.5034; Precision: 0.4031; Recall: 0.6667; ROC AUC: 0.5042
+[2024-06-09 01:05:57,023 INFO] ======================================================
+[2024-06-09 01:05:57,023 INFO] Epoch:5, Loss: 264.070, Time: 0.93, GPU: 1798.6MiB
+[2024-06-09 01:05:57,023 INFO] Epoch:5, Accuracy: 0.4919; F1: 0.5034; Precision: 0.4031; Recall: 0.6667; ROC AUC: 0.5042
+[2024-06-09 01:05:57,966 INFO] ======================================================
+[2024-06-09 01:05:57,966 INFO] Epoch:6, Loss: 39.381, Time: 0.93, GPU: 1798.6MiB
+[2024-06-09 01:05:57,966 INFO] Epoch:6, Accuracy: 0.4919; F1: 0.5034; Precision: 0.4031; Recall: 0.6667; ROC AUC: 0.5042
+[2024-06-09 01:05:58,893 INFO] ======================================================
+[2024-06-09 01:05:58,893 INFO] Epoch:7, Loss: 114.084, Time: 0.93, GPU: 1798.6MiB
+[2024-06-09 01:05:58,893 INFO] Epoch:7, Accuracy: 0.4919; F1: 0.5034; Precision: 0.4031; Recall: 0.6667; ROC AUC: 0.5042
+[2024-06-09 01:05:59,825 INFO] ======================================================
+[2024-06-09 01:05:59,825 INFO] Epoch:8, Loss: 254.205, Time: 0.93, GPU: 1798.6MiB
+[2024-06-09 01:05:59,825 INFO] Epoch:8, Accuracy: 0.4919; F1: 0.5034; Precision: 0.4031; Recall: 0.6667; ROC AUC: 0.5042
+[2024-06-09 01:06:00,760 INFO] ======================================================
+[2024-06-09 01:06:00,760 INFO] Epoch:9, Loss: 24.689, Time: 0.93, GPU: 1798.6MiB
+[2024-06-09 01:06:00,760 INFO] Epoch:9, Accuracy: 0.4919; F1: 0.5034; Precision: 0.4031; Recall: 0.6667; ROC AUC: 0.5042
+[2024-06-09 01:06:01,684 INFO] ======================================================
+[2024-06-09 01:06:01,684 INFO] Epoch:10, Loss: 39.400, Time: 0.92, GPU: 1798.6MiB
+[2024-06-09 01:06:01,684 INFO] Epoch:10, Accuracy: 0.4919; F1: 0.5034; Precision: 0.4031; Recall: 0.6667; ROC AUC: 0.5042
+[2024-06-09 01:06:01,684 INFO] >> Total time : 10.69
+[2024-06-09 01:06:01,684 INFO] >> Parameters: lr:0.1000 |Dim:128 |Window:5 |
+[2024-06-09 01:06:48,007 INFO] using model EGCN
+[2024-06-09 01:06:50,395 INFO] ======================================================
+[2024-06-09 01:06:50,395 INFO] Epoch:1, Loss: 0.695, Time: 2.39, GPU: 1484.8MiB
+[2024-06-09 01:06:50,395 INFO] Epoch:1, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:06:51,324 INFO] ======================================================
+[2024-06-09 01:06:51,324 INFO] Epoch:2, Loss: 12.104, Time: 0.93, GPU: 1798.6MiB
+[2024-06-09 01:06:51,324 INFO] Epoch:2, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:06:52,223 INFO] ======================================================
+[2024-06-09 01:06:52,223 INFO] Epoch:3, Loss: 251.745, Time: 0.90, GPU: 1798.6MiB
+[2024-06-09 01:06:52,223 INFO] Epoch:3, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:06:53,114 INFO] ======================================================
+[2024-06-09 01:06:53,114 INFO] Epoch:4, Loss: 17.067, Time: 0.89, GPU: 1798.6MiB
+[2024-06-09 01:06:53,114 INFO] Epoch:4, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:06:54,005 INFO] ======================================================
+[2024-06-09 01:06:54,005 INFO] Epoch:5, Loss: 6.860, Time: 0.89, GPU: 1798.6MiB
+[2024-06-09 01:06:54,005 INFO] Epoch:5, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:06:54,911 INFO] ======================================================
+[2024-06-09 01:06:54,911 INFO] Epoch:6, Loss: 16.645, Time: 0.91, GPU: 1798.6MiB
+[2024-06-09 01:06:54,911 INFO] Epoch:6, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:06:55,802 INFO] ======================================================
+[2024-06-09 01:06:55,802 INFO] Epoch:7, Loss: 11.493, Time: 0.89, GPU: 1798.6MiB
+[2024-06-09 01:06:55,802 INFO] Epoch:7, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:06:56,710 INFO] ======================================================
+[2024-06-09 01:06:56,710 INFO] Epoch:8, Loss: 11.628, Time: 0.91, GPU: 1798.6MiB
+[2024-06-09 01:06:56,710 INFO] Epoch:8, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:06:57,601 INFO] ======================================================
+[2024-06-09 01:06:57,601 INFO] Epoch:9, Loss: 47.818, Time: 0.89, GPU: 1798.6MiB
+[2024-06-09 01:06:57,601 INFO] Epoch:9, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:06:58,494 INFO] ======================================================
+[2024-06-09 01:06:58,494 INFO] Epoch:10, Loss: 7.164, Time: 0.89, GPU: 1798.6MiB
+[2024-06-09 01:06:58,494 INFO] Epoch:10, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:06:59,399 INFO] ======================================================
+[2024-06-09 01:06:59,399 INFO] Epoch:11, Loss: 46.698, Time: 0.91, GPU: 1798.6MiB
+[2024-06-09 01:06:59,399 INFO] Epoch:11, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:07:00,290 INFO] ======================================================
+[2024-06-09 01:07:00,290 INFO] Epoch:12, Loss: 175.605, Time: 0.89, GPU: 1798.6MiB
+[2024-06-09 01:07:00,290 INFO] Epoch:12, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:07:01,197 INFO] ======================================================
+[2024-06-09 01:07:01,197 INFO] Epoch:13, Loss: 246.359, Time: 0.91, GPU: 1798.6MiB
+[2024-06-09 01:07:01,197 INFO] Epoch:13, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:07:02,088 INFO] ======================================================
+[2024-06-09 01:07:02,088 INFO] Epoch:14, Loss: 28.925, Time: 0.89, GPU: 1798.6MiB
+[2024-06-09 01:07:02,088 INFO] Epoch:14, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:07:02,994 INFO] ======================================================
+[2024-06-09 01:07:02,994 INFO] Epoch:15, Loss: 133.178, Time: 0.91, GPU: 1798.6MiB
+[2024-06-09 01:07:02,994 INFO] Epoch:15, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:07:03,885 INFO] ======================================================
+[2024-06-09 01:07:03,885 INFO] Epoch:16, Loss: 79.377, Time: 0.89, GPU: 1798.6MiB
+[2024-06-09 01:07:03,885 INFO] Epoch:16, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:07:04,792 INFO] ======================================================
+[2024-06-09 01:07:04,792 INFO] Epoch:17, Loss: 101.405, Time: 0.91, GPU: 1798.6MiB
+[2024-06-09 01:07:04,792 INFO] Epoch:17, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:07:05,683 INFO] ======================================================
+[2024-06-09 01:07:05,683 INFO] Epoch:18, Loss: 5.089, Time: 0.89, GPU: 1798.6MiB
+[2024-06-09 01:07:05,683 INFO] Epoch:18, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:07:06,574 INFO] ======================================================
+[2024-06-09 01:07:06,574 INFO] Epoch:19, Loss: 1.294, Time: 0.89, GPU: 1798.6MiB
+[2024-06-09 01:07:06,574 INFO] Epoch:19, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:07:07,481 INFO] ======================================================
+[2024-06-09 01:07:07,481 INFO] Epoch:20, Loss: 30.589, Time: 0.91, GPU: 1798.6MiB
+[2024-06-09 01:07:07,481 INFO] Epoch:20, Accuracy: 0.5863; F1: 0.5365; Precision: 0.4746; Recall: 0.8095; ROC AUC: 0.5394
+[2024-06-09 01:07:07,481 INFO] >> Total time : 19.47
+[2024-06-09 01:07:07,481 INFO] >> Parameters: lr:0.1000 |Dim:128 |Window:5 |
+[2024-06-09 01:07:20,288 INFO] using model EGCN
+[2024-06-09 01:07:22,632 INFO] ======================================================
+[2024-06-09 01:07:22,632 INFO] Epoch:1, Loss: 0.692, Time: 2.34, GPU: 1484.8MiB
+[2024-06-09 01:07:22,632 INFO] Epoch:1, Accuracy: 0.9258; F1: 0.9293; Precision: 0.8877; Recall: 0.9762; ROC AUC: 0.9300
+[2024-06-09 01:07:24,774 INFO] ======================================================
+[2024-06-09 01:07:24,774 INFO] Epoch:2, Loss: 0.643, Time: 2.14, GPU: 1798.6MiB
+[2024-06-09 01:07:24,774 INFO] Epoch:2, Accuracy: 0.9885; F1: 0.9881; Precision: 0.9782; Recall: 1.0000; ROC AUC: 0.9883
+[2024-06-09 01:07:26,917 INFO] ======================================================
+[2024-06-09 01:07:26,917 INFO] Epoch:3, Loss: 0.539, Time: 2.14, GPU: 1798.6MiB
+[2024-06-09 01:07:26,917 INFO] Epoch:3, Accuracy: 0.9926; F1: 0.9924; Precision: 0.9857; Recall: 1.0000; ROC AUC: 0.9925
+[2024-06-09 01:07:29,011 INFO] ======================================================
+[2024-06-09 01:07:29,011 INFO] Epoch:4, Loss: 0.249, Time: 2.09, GPU: 1798.7MiB
+[2024-06-09 01:07:29,011 INFO] Epoch:4, Accuracy: 0.9974; F1: 0.9974; Precision: 0.9949; Recall: 1.0000; ROC AUC: 0.9974
+[2024-06-09 01:07:31,135 INFO] ======================================================
+[2024-06-09 01:07:31,135 INFO] Epoch:5, Loss: 0.118, Time: 2.12, GPU: 1801.6MiB
+[2024-06-09 01:07:31,135 INFO] Epoch:5, Accuracy: 0.9972; F1: 0.9972; Precision: 0.9944; Recall: 1.0000; ROC AUC: 0.9972
+[2024-06-09 01:07:33,260 INFO] ======================================================
+[2024-06-09 01:07:33,260 INFO] Epoch:6, Loss: 0.093, Time: 2.12, GPU: 1801.6MiB
+[2024-06-09 01:07:33,260 INFO] Epoch:6, Accuracy: 0.9973; F1: 0.9973; Precision: 0.9947; Recall: 1.0000; ROC AUC: 0.9973
+[2024-06-09 01:07:35,355 INFO] ======================================================
+[2024-06-09 01:07:35,355 INFO] Epoch:7, Loss: 0.074, Time: 2.10, GPU: 1802.6MiB
+[2024-06-09 01:07:35,355 INFO] Epoch:7, Accuracy: 0.6654; F1: 0.8315; Precision: 0.6642; Recall: 0.6667; ROC AUC: 0.8321
+[2024-06-09 01:07:36,246 INFO] ======================================================
+[2024-06-09 01:07:36,246 INFO] Epoch:8, Loss: 0.607, Time: 0.89, GPU: 1802.6MiB
+[2024-06-09 01:07:36,246 INFO] Epoch:8, Accuracy: 0.6654; F1: 0.8315; Precision: 0.6642; Recall: 0.6667; ROC AUC: 0.8321
+[2024-06-09 01:07:37,152 INFO] ======================================================
+[2024-06-09 01:07:37,152 INFO] Epoch:9, Loss: 0.087, Time: 0.91, GPU: 1802.6MiB
+[2024-06-09 01:07:37,152 INFO] Epoch:9, Accuracy: 0.6654; F1: 0.8315; Precision: 0.6642; Recall: 0.6667; ROC AUC: 0.8321
+[2024-06-09 01:07:38,042 INFO] ======================================================
+[2024-06-09 01:07:38,042 INFO] Epoch:10, Loss: 0.179, Time: 0.89, GPU: 1802.6MiB
+[2024-06-09 01:07:38,042 INFO] Epoch:10, Accuracy: 0.6654; F1: 0.8315; Precision: 0.6642; Recall: 0.6667; ROC AUC: 0.8321
+[2024-06-09 01:07:38,949 INFO] ======================================================
+[2024-06-09 01:07:38,949 INFO] Epoch:11, Loss: 0.675, Time: 0.91, GPU: 1802.6MiB
+[2024-06-09 01:07:38,949 INFO] Epoch:11, Accuracy: 0.6654; F1: 0.8315; Precision: 0.6642; Recall: 0.6667; ROC AUC: 0.8321
+[2024-06-09 01:07:39,840 INFO] ======================================================
+[2024-06-09 01:07:39,840 INFO] Epoch:12, Loss: 0.717, Time: 0.89, GPU: 1802.6MiB
+[2024-06-09 01:07:39,840 INFO] Epoch:12, Accuracy: 0.6654; F1: 0.8315; Precision: 0.6642; Recall: 0.6667; ROC AUC: 0.8321
+[2024-06-09 01:07:40,733 INFO] ======================================================
+[2024-06-09 01:07:40,733 INFO] Epoch:13, Loss: 0.284, Time: 0.89, GPU: 1802.6MiB
+[2024-06-09 01:07:40,733 INFO] Epoch:13, Accuracy: 0.6654; F1: 0.8315; Precision: 0.6642; Recall: 0.6667; ROC AUC: 0.8321
+[2024-06-09 01:07:41,637 INFO] ======================================================
+[2024-06-09 01:07:41,637 INFO] Epoch:14, Loss: 0.172, Time: 0.90, GPU: 1802.6MiB
+[2024-06-09 01:07:41,637 INFO] Epoch:14, Accuracy: 0.6654; F1: 0.8315; Precision: 0.6642; Recall: 0.6667; ROC AUC: 0.8321
+[2024-06-09 01:07:42,528 INFO] ======================================================
+[2024-06-09 01:07:42,528 INFO] Epoch:15, Loss: 0.125, Time: 0.89, GPU: 1802.6MiB
+[2024-06-09 01:07:42,528 INFO] Epoch:15, Accuracy: 0.6654; F1: 0.8315; Precision: 0.6642; Recall: 0.6667; ROC AUC: 0.8321
+[2024-06-09 01:07:43,419 INFO] ======================================================
+[2024-06-09 01:07:43,435 INFO] Epoch:16, Loss: 0.100, Time: 0.91, GPU: 1802.6MiB
+[2024-06-09 01:07:43,435 INFO] Epoch:16, Accuracy: 0.6654; F1: 0.8315; Precision: 0.6642; Recall: 0.6667; ROC AUC: 0.8321
+[2024-06-09 01:07:44,325 INFO] ======================================================
+[2024-06-09 01:07:44,325 INFO] Epoch:17, Loss: 0.079, Time: 0.89, GPU: 1802.6MiB
+[2024-06-09 01:07:44,325 INFO] Epoch:17, Accuracy: 0.6654; F1: 0.8315; Precision: 0.6642; Recall: 0.6667; ROC AUC: 0.8321
+[2024-06-09 01:07:46,409 INFO] ======================================================
+[2024-06-09 01:07:46,409 INFO] Epoch:18, Loss: 0.062, Time: 2.08, GPU: 1802.6MiB
+[2024-06-09 01:07:46,409 INFO] Epoch:18, Accuracy: 0.9971; F1: 0.9971; Precision: 0.9943; Recall: 1.0000; ROC AUC: 0.9971
+[2024-06-09 01:07:48,515 INFO] ======================================================
+[2024-06-09 01:07:48,515 INFO] Epoch:19, Loss: 0.048, Time: 2.11, GPU: 1803.0MiB
+[2024-06-09 01:07:48,515 INFO] Epoch:19, Accuracy: 0.9975; F1: 0.9975; Precision: 0.9950; Recall: 1.0000; ROC AUC: 0.9975
+[2024-06-09 01:07:50,593 INFO] ======================================================
+[2024-06-09 01:07:50,593 INFO] Epoch:20, Loss: 0.036, Time: 2.08, GPU: 1803.0MiB
+[2024-06-09 01:07:50,593 INFO] Epoch:20, Accuracy: 0.9975; F1: 0.9975; Precision: 0.9950; Recall: 1.0000; ROC AUC: 0.9975
+[2024-06-09 01:07:50,593 INFO] >> Total time : 30.30
+[2024-06-09 01:07:50,593 INFO] >> Parameters: lr:0.0010 |Dim:128 |Window:5 |
+[2024-06-09 01:08:14,303 INFO] using model EGCN
+[2024-06-09 01:08:15,663 INFO] ======================================================
+[2024-06-09 01:08:15,663 INFO] Epoch:1, Loss: 0.701, Time: 1.36, GPU: 981.4MiB
+[2024-06-09 01:08:15,663 INFO] Epoch:1, Accuracy: 0.7224; F1: 0.8507; Precision: 0.7141; Recall: 0.7326; ROC AUC: 0.8505
+[2024-06-09 01:08:16,825 INFO] ======================================================
+[2024-06-09 01:08:16,825 INFO] Epoch:2, Loss: 0.678, Time: 1.16, GPU: 1238.5MiB
+[2024-06-09 01:08:16,825 INFO] Epoch:2, Accuracy: 0.8929; F1: 0.9408; Precision: 0.8816; Recall: 0.9048; ROC AUC: 0.9404
+[2024-06-09 01:08:17,993 INFO] ======================================================
+[2024-06-09 01:08:17,993 INFO] Epoch:3, Loss: 0.659, Time: 1.17, GPU: 1238.5MiB
+[2024-06-09 01:08:17,993 INFO] Epoch:3, Accuracy: 0.9160; F1: 0.9519; Precision: 0.9039; Recall: 0.9286; ROC AUC: 0.9515
+[2024-06-09 01:08:19,164 INFO] ======================================================
+[2024-06-09 01:08:19,164 INFO] Epoch:4, Loss: 0.638, Time: 1.17, GPU: 1242.4MiB
+[2024-06-09 01:08:19,164 INFO] Epoch:4, Accuracy: 0.9158; F1: 0.9517; Precision: 0.9036; Recall: 0.9286; ROC AUC: 0.9514
+[2024-06-09 01:08:20,292 INFO] ======================================================
+[2024-06-09 01:08:20,292 INFO] Epoch:5, Loss: 0.609, Time: 1.13, GPU: 1242.4MiB
+[2024-06-09 01:08:20,292 INFO] Epoch:5, Accuracy: 0.9389; F1: 0.9626; Precision: 0.9261; Recall: 0.9524; ROC AUC: 0.9626
+[2024-06-09 01:08:21,400 INFO] ======================================================
+[2024-06-09 01:08:21,400 INFO] Epoch:6, Loss: 0.568, Time: 1.11, GPU: 1242.4MiB
+[2024-06-09 01:08:21,400 INFO] Epoch:6, Accuracy: 0.9389; F1: 0.9625; Precision: 0.9260; Recall: 0.9524; ROC AUC: 0.9625
+[2024-06-09 01:08:22,542 INFO] ======================================================
+[2024-06-09 01:08:22,542 INFO] Epoch:7, Loss: 0.510, Time: 1.14, GPU: 1242.4MiB
+[2024-06-09 01:08:22,542 INFO] Epoch:7, Accuracy: 0.9391; F1: 0.9628; Precision: 0.9265; Recall: 0.9524; ROC AUC: 0.9628
+[2024-06-09 01:08:23,683 INFO] ======================================================
+[2024-06-09 01:08:23,683 INFO] Epoch:8, Loss: 0.428, Time: 1.14, GPU: 1242.4MiB
+[2024-06-09 01:08:23,683 INFO] Epoch:8, Accuracy: 0.9433; F1: 0.9671; Precision: 0.9347; Recall: 0.9524; ROC AUC: 0.9671
+[2024-06-09 01:08:24,825 INFO] ======================================================
+[2024-06-09 01:08:24,825 INFO] Epoch:9, Loss: 0.321, Time: 1.14, GPU: 1242.4MiB
+[2024-06-09 01:08:24,825 INFO] Epoch:9, Accuracy: 0.9477; F1: 0.9716; Precision: 0.9431; Recall: 0.9524; ROC AUC: 0.9715
+[2024-06-09 01:08:25,982 INFO] ======================================================
+[2024-06-09 01:08:25,982 INFO] Epoch:10, Loss: 0.219, Time: 1.16, GPU: 1242.7MiB
+[2024-06-09 01:08:25,982 INFO] Epoch:10, Accuracy: 0.9478; F1: 0.9718; Precision: 0.9434; Recall: 0.9524; ROC AUC: 0.9717
+[2024-06-09 01:08:27,149 INFO] ======================================================
+[2024-06-09 01:08:27,149 INFO] Epoch:11, Loss: 0.154, Time: 1.17, GPU: 1242.7MiB
+[2024-06-09 01:08:27,149 INFO] Epoch:11, Accuracy: 0.9478; F1: 0.9717; Precision: 0.9433; Recall: 0.9524; ROC AUC: 0.9716
+[2024-06-09 01:08:28,248 INFO] ======================================================
+[2024-06-09 01:08:28,248 INFO] Epoch:12, Loss: 0.124, Time: 1.10, GPU: 1242.7MiB
+[2024-06-09 01:08:28,248 INFO] Epoch:12, Accuracy: 0.9480; F1: 0.9720; Precision: 0.9438; Recall: 0.9524; ROC AUC: 0.9719
+[2024-06-09 01:08:29,358 INFO] ======================================================
+[2024-06-09 01:08:29,358 INFO] Epoch:13, Loss: 0.107, Time: 1.11, GPU: 1242.7MiB
+[2024-06-09 01:08:29,358 INFO] Epoch:13, Accuracy: 0.9726; F1: 0.9846; Precision: 0.9691; Recall: 0.9762; ROC AUC: 0.9845
+[2024-06-09 01:08:30,546 INFO] ======================================================
+[2024-06-09 01:08:30,546 INFO] Epoch:14, Loss: 0.095, Time: 1.19, GPU: 1242.7MiB
+[2024-06-09 01:08:30,546 INFO] Epoch:14, Accuracy: 0.9728; F1: 0.9848; Precision: 0.9695; Recall: 0.9762; ROC AUC: 0.9847
+[2024-06-09 01:08:31,719 INFO] ======================================================
+[2024-06-09 01:08:31,719 INFO] Epoch:15, Loss: 0.095, Time: 1.17, GPU: 1242.7MiB
+[2024-06-09 01:08:31,719 INFO] Epoch:15, Accuracy: 0.9705; F1: 0.9824; Precision: 0.9651; Recall: 0.9762; ROC AUC: 0.9824
+[2024-06-09 01:08:32,828 INFO] ======================================================
+[2024-06-09 01:08:32,828 INFO] Epoch:16, Loss: 0.093, Time: 1.11, GPU: 1242.7MiB
+[2024-06-09 01:08:32,828 INFO] Epoch:16, Accuracy: 0.9695; F1: 0.9814; Precision: 0.9632; Recall: 0.9762; ROC AUC: 0.9814
+[2024-06-09 01:08:33,078 INFO] ======================================================
+[2024-06-09 01:08:33,078 INFO] Epoch:17, Loss: 0.100, Time: 0.25, GPU: 1242.7MiB
+[2024-06-09 01:08:33,078 INFO] Epoch:17, Accuracy: 0.9695; F1: 0.9814; Precision: 0.9632; Recall: 0.9762; ROC AUC: 0.9814
+[2024-06-09 01:08:34,204 INFO] ======================================================
+[2024-06-09 01:08:34,204 INFO] Epoch:18, Loss: 0.090, Time: 1.13, GPU: 1242.7MiB
+[2024-06-09 01:08:34,204 INFO] Epoch:18, Accuracy: 0.9716; F1: 0.9836; Precision: 0.9672; Recall: 0.9762; ROC AUC: 0.9836
+[2024-06-09 01:08:35,329 INFO] ======================================================
+[2024-06-09 01:08:35,329 INFO] Epoch:19, Loss: 0.083, Time: 1.13, GPU: 1242.7MiB
+[2024-06-09 01:08:35,329 INFO] Epoch:19, Accuracy: 0.9707; F1: 0.9825; Precision: 0.9654; Recall: 0.9762; ROC AUC: 0.9825
+[2024-06-09 01:08:36,470 INFO] ======================================================
+[2024-06-09 01:08:36,470 INFO] Epoch:20, Loss: 0.077, Time: 1.14, GPU: 1242.7MiB
+[2024-06-09 01:08:36,470 INFO] Epoch:20, Accuracy: 0.9707; F1: 0.9825; Precision: 0.9654; Recall: 0.9762; ROC AUC: 0.9825
+[2024-06-09 01:08:36,470 INFO] >> Total time : 22.17
+[2024-06-09 01:08:36,470 INFO] >> Parameters: lr:0.0010 |Dim:20 |Window:5 |
+[2024-06-09 01:08:53,292 INFO] using model EGCN
+[2024-06-09 01:08:54,725 INFO] ======================================================
+[2024-06-09 01:08:54,725 INFO] Epoch:1, Loss: 0.789, Time: 1.42, GPU: 905.8MiB
+[2024-06-09 01:08:54,725 INFO] Epoch:1, Accuracy: 0.0000; F1: 0.5021; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4995
+[2024-06-09 01:08:55,853 INFO] ======================================================
+[2024-06-09 01:08:55,853 INFO] Epoch:2, Loss: 0.753, Time: 1.13, GPU: 1165.9MiB
+[2024-06-09 01:08:55,853 INFO] Epoch:2, Accuracy: 0.0000; F1: 0.5021; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4995
+[2024-06-09 01:08:56,962 INFO] ======================================================
+[2024-06-09 01:08:56,962 INFO] Epoch:3, Loss: 0.723, Time: 1.11, GPU: 1168.6MiB
+[2024-06-09 01:08:56,962 INFO] Epoch:3, Accuracy: 0.0000; F1: 0.5020; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4995
+[2024-06-09 01:08:58,074 INFO] ======================================================
+[2024-06-09 01:08:58,074 INFO] Epoch:4, Loss: 0.696, Time: 1.11, GPU: 1168.6MiB
+[2024-06-09 01:08:58,074 INFO] Epoch:4, Accuracy: 0.0000; F1: 0.5020; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4995
+[2024-06-09 01:08:59,184 INFO] ======================================================
+[2024-06-09 01:08:59,184 INFO] Epoch:5, Loss: 0.681, Time: 1.11, GPU: 1168.6MiB
+[2024-06-09 01:08:59,184 INFO] Epoch:5, Accuracy: 0.0000; F1: 0.5015; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.4990
+[2024-06-09 01:09:00,307 INFO] ======================================================
+[2024-06-09 01:09:00,307 INFO] Epoch:6, Loss: 0.669, Time: 1.12, GPU: 1168.6MiB
+[2024-06-09 01:09:00,307 INFO] Epoch:6, Accuracy: 0.7595; F1: 0.8801; Precision: 0.7572; Recall: 0.7619; ROC AUC: 0.8786
+[2024-06-09 01:09:01,434 INFO] ======================================================
+[2024-06-09 01:09:01,434 INFO] Epoch:7, Loss: 0.652, Time: 1.13, GPU: 1168.6MiB
+[2024-06-09 01:09:01,434 INFO] Epoch:7, Accuracy: 0.8550; F1: 0.9275; Precision: 0.8528; Recall: 0.8571; ROC AUC: 0.9264
+[2024-06-09 01:09:02,544 INFO] ======================================================
+[2024-06-09 01:09:02,544 INFO] Epoch:8, Loss: 0.632, Time: 1.11, GPU: 1168.6MiB
+[2024-06-09 01:09:02,544 INFO] Epoch:8, Accuracy: 0.8786; F1: 0.9386; Precision: 0.8763; Recall: 0.8810; ROC AUC: 0.9381
+[2024-06-09 01:09:03,638 INFO] ======================================================
+[2024-06-09 01:09:03,638 INFO] Epoch:9, Loss: 0.609, Time: 1.09, GPU: 1168.6MiB
+[2024-06-09 01:09:03,638 INFO] Epoch:9, Accuracy: 0.8786; F1: 0.9386; Precision: 0.8762; Recall: 0.8810; ROC AUC: 0.9381
+[2024-06-09 01:09:04,746 INFO] ======================================================
+[2024-06-09 01:09:04,746 INFO] Epoch:10, Loss: 0.584, Time: 1.11, GPU: 1168.6MiB
+[2024-06-09 01:09:04,746 INFO] Epoch:10, Accuracy: 0.8786; F1: 0.9386; Precision: 0.8762; Recall: 0.8810; ROC AUC: 0.9381
+[2024-06-09 01:09:05,841 INFO] ======================================================
+[2024-06-09 01:09:05,841 INFO] Epoch:11, Loss: 0.560, Time: 1.10, GPU: 1168.6MiB
+[2024-06-09 01:09:05,841 INFO] Epoch:11, Accuracy: 0.8787; F1: 0.9387; Precision: 0.8764; Recall: 0.8810; ROC AUC: 0.9382
+[2024-06-09 01:09:06,920 INFO] ======================================================
+[2024-06-09 01:09:06,920 INFO] Epoch:12, Loss: 0.532, Time: 1.08, GPU: 1168.6MiB
+[2024-06-09 01:09:06,920 INFO] Epoch:12, Accuracy: 0.8784; F1: 0.9385; Precision: 0.8760; Recall: 0.8810; ROC AUC: 0.9380
+[2024-06-09 01:09:08,015 INFO] ======================================================
+[2024-06-09 01:09:08,015 INFO] Epoch:13, Loss: 0.485, Time: 1.09, GPU: 1168.6MiB
+[2024-06-09 01:09:08,015 INFO] Epoch:13, Accuracy: 0.9255; F1: 0.9617; Precision: 0.9225; Recall: 0.9286; ROC AUC: 0.9612
+[2024-06-09 01:09:09,110 INFO] ======================================================
+[2024-06-09 01:09:09,110 INFO] Epoch:14, Loss: 0.428, Time: 1.09, GPU: 1168.6MiB
+[2024-06-09 01:09:09,110 INFO] Epoch:14, Accuracy: 0.9490; F1: 0.9728; Precision: 0.9456; Recall: 0.9524; ROC AUC: 0.9727
+[2024-06-09 01:09:10,235 INFO] ======================================================
+[2024-06-09 01:09:10,235 INFO] Epoch:15, Loss: 0.376, Time: 1.13, GPU: 1168.6MiB
+[2024-06-09 01:09:10,235 INFO] Epoch:15, Accuracy: 0.9487; F1: 0.9726; Precision: 0.9451; Recall: 0.9524; ROC AUC: 0.9725
+[2024-06-09 01:09:11,314 INFO] ======================================================
+[2024-06-09 01:09:11,314 INFO] Epoch:16, Loss: 0.336, Time: 1.08, GPU: 1168.6MiB
+[2024-06-09 01:09:11,314 INFO] Epoch:16, Accuracy: 0.9479; F1: 0.9717; Precision: 0.9435; Recall: 0.9524; ROC AUC: 0.9717
+[2024-06-09 01:09:12,408 INFO] ======================================================
+[2024-06-09 01:09:12,408 INFO] Epoch:17, Loss: 0.308, Time: 1.09, GPU: 1168.6MiB
+[2024-06-09 01:09:12,408 INFO] Epoch:17, Accuracy: 0.9457; F1: 0.9695; Precision: 0.9394; Recall: 0.9524; ROC AUC: 0.9695
+[2024-06-09 01:09:13,549 INFO] ======================================================
+[2024-06-09 01:09:13,549 INFO] Epoch:18, Loss: 0.288, Time: 1.14, GPU: 1168.6MiB
+[2024-06-09 01:09:13,549 INFO] Epoch:18, Accuracy: 0.9687; F1: 0.9806; Precision: 0.9617; Recall: 0.9762; ROC AUC: 0.9806
+[2024-06-09 01:09:14,643 INFO] ======================================================
+[2024-06-09 01:09:14,643 INFO] Epoch:19, Loss: 0.272, Time: 1.09, GPU: 1168.6MiB
+[2024-06-09 01:09:14,643 INFO] Epoch:19, Accuracy: 0.9682; F1: 0.9801; Precision: 0.9607; Recall: 0.9762; ROC AUC: 0.9801
+[2024-06-09 01:09:15,739 INFO] ======================================================
+[2024-06-09 01:09:15,739 INFO] Epoch:20, Loss: 0.254, Time: 1.08, GPU: 1168.6MiB
+[2024-06-09 01:09:15,739 INFO] Epoch:20, Accuracy: 0.9683; F1: 0.9801; Precision: 0.9608; Recall: 0.9762; ROC AUC: 0.9802
+[2024-06-09 01:09:15,739 INFO] >> Total time : 22.43
+[2024-06-09 01:09:15,739 INFO] >> Parameters: lr:0.0010 |Dim:2 |Window:5 |
+[2024-06-09 01:10:39,449 INFO] using model EGCN
+[2024-06-09 01:10:40,808 INFO] ======================================================
+[2024-06-09 01:10:40,808 INFO] Epoch:1, Loss: 0.767, Time: 1.34, GPU: 905.8MiB
+[2024-06-09 01:10:40,808 INFO] Epoch:1, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:10:41,991 INFO] ======================================================
+[2024-06-09 01:10:41,991 INFO] Epoch:2, Loss: 0.765, Time: 1.18, GPU: 1165.9MiB
+[2024-06-09 01:10:41,991 INFO] Epoch:2, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:10:43,150 INFO] ======================================================
+[2024-06-09 01:10:43,150 INFO] Epoch:3, Loss: 0.764, Time: 1.16, GPU: 1168.6MiB
+[2024-06-09 01:10:43,150 INFO] Epoch:3, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:10:44,277 INFO] ======================================================
+[2024-06-09 01:10:44,277 INFO] Epoch:4, Loss: 0.762, Time: 1.13, GPU: 1168.6MiB
+[2024-06-09 01:10:44,277 INFO] Epoch:4, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:10:45,759 INFO] ======================================================
+[2024-06-09 01:10:45,759 INFO] Epoch:5, Loss: 0.761, Time: 1.48, GPU: 1168.6MiB
+[2024-06-09 01:10:45,759 INFO] Epoch:5, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:10:47,141 INFO] ======================================================
+[2024-06-09 01:10:47,141 INFO] Epoch:6, Loss: 0.759, Time: 1.38, GPU: 1168.6MiB
+[2024-06-09 01:10:47,141 INFO] Epoch:6, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:10:48,454 INFO] ======================================================
+[2024-06-09 01:10:48,454 INFO] Epoch:7, Loss: 0.757, Time: 1.31, GPU: 1168.6MiB
+[2024-06-09 01:10:48,454 INFO] Epoch:7, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:10:49,721 INFO] ======================================================
+[2024-06-09 01:10:49,721 INFO] Epoch:8, Loss: 0.756, Time: 1.27, GPU: 1168.6MiB
+[2024-06-09 01:10:49,721 INFO] Epoch:8, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:10:51,146 INFO] ======================================================
+[2024-06-09 01:10:51,146 INFO] Epoch:9, Loss: 0.754, Time: 1.43, GPU: 1168.6MiB
+[2024-06-09 01:10:51,146 INFO] Epoch:9, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:10:52,303 INFO] ======================================================
+[2024-06-09 01:10:52,303 INFO] Epoch:10, Loss: 0.752, Time: 1.16, GPU: 1168.6MiB
+[2024-06-09 01:10:52,303 INFO] Epoch:10, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:10:53,460 INFO] ======================================================
+[2024-06-09 01:10:53,460 INFO] Epoch:11, Loss: 0.751, Time: 1.16, GPU: 1168.6MiB
+[2024-06-09 01:10:53,460 INFO] Epoch:11, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:10:54,576 INFO] ======================================================
+[2024-06-09 01:10:54,576 INFO] Epoch:12, Loss: 0.749, Time: 1.12, GPU: 1168.6MiB
+[2024-06-09 01:10:54,576 INFO] Epoch:12, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:10:55,681 INFO] ======================================================
+[2024-06-09 01:10:55,681 INFO] Epoch:13, Loss: 0.747, Time: 1.11, GPU: 1168.6MiB
+[2024-06-09 01:10:55,681 INFO] Epoch:13, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:10:56,789 INFO] ======================================================
+[2024-06-09 01:10:56,789 INFO] Epoch:14, Loss: 0.746, Time: 1.11, GPU: 1168.6MiB
+[2024-06-09 01:10:56,789 INFO] Epoch:14, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:10:57,868 INFO] ======================================================
+[2024-06-09 01:10:57,868 INFO] Epoch:15, Loss: 0.744, Time: 1.08, GPU: 1168.6MiB
+[2024-06-09 01:10:57,868 INFO] Epoch:15, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:10:58,947 INFO] ======================================================
+[2024-06-09 01:10:58,947 INFO] Epoch:16, Loss: 0.742, Time: 1.08, GPU: 1168.6MiB
+[2024-06-09 01:10:58,947 INFO] Epoch:16, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:11:00,071 INFO] ======================================================
+[2024-06-09 01:11:00,071 INFO] Epoch:17, Loss: 0.741, Time: 1.12, GPU: 1168.6MiB
+[2024-06-09 01:11:00,071 INFO] Epoch:17, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:11:01,165 INFO] ======================================================
+[2024-06-09 01:11:01,165 INFO] Epoch:18, Loss: 0.739, Time: 1.09, GPU: 1168.6MiB
+[2024-06-09 01:11:01,165 INFO] Epoch:18, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:11:02,261 INFO] ======================================================
+[2024-06-09 01:11:02,261 INFO] Epoch:19, Loss: 0.737, Time: 1.10, GPU: 1168.6MiB
+[2024-06-09 01:11:02,261 INFO] Epoch:19, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:11:03,403 INFO] ======================================================
+[2024-06-09 01:11:03,403 INFO] Epoch:20, Loss: 0.735, Time: 1.14, GPU: 1168.6MiB
+[2024-06-09 01:11:03,403 INFO] Epoch:20, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:11:03,403 INFO] >> Total time : 23.94
+[2024-06-09 01:11:03,403 INFO] >> Parameters: lr:0.0001 |Dim:2 |Window:5 |
+[2024-06-09 01:11:24,779 INFO] using model EGCN
+[2024-06-09 01:11:26,076 INFO] ======================================================
+[2024-06-09 01:11:26,076 INFO] Epoch:1, Loss: 0.689, Time: 1.30, GPU: 905.8MiB
+[2024-06-09 01:11:26,076 INFO] Epoch:1, Accuracy: 0.8629; F1: 0.9214; Precision: 0.8475; Recall: 0.8810; ROC AUC: 0.9209
+[2024-06-09 01:11:27,171 INFO] ======================================================
+[2024-06-09 01:11:27,171 INFO] Epoch:2, Loss: 0.605, Time: 1.10, GPU: 1165.9MiB
+[2024-06-09 01:11:27,171 INFO] Epoch:2, Accuracy: 0.6403; F1: 0.5093; Precision: 0.4848; Recall: 0.9524; ROC AUC: 0.5113
+[2024-06-09 01:11:27,390 INFO] ======================================================
+[2024-06-09 01:11:27,390 INFO] Epoch:3, Loss: 0.882, Time: 0.22, GPU: 1168.6MiB
+[2024-06-09 01:11:27,390 INFO] Epoch:3, Accuracy: 0.6403; F1: 0.5093; Precision: 0.4848; Recall: 0.9524; ROC AUC: 0.5113
+[2024-06-09 01:11:28,484 INFO] ======================================================
+[2024-06-09 01:11:28,484 INFO] Epoch:4, Loss: 0.513, Time: 1.09, GPU: 1168.6MiB
+[2024-06-09 01:11:28,484 INFO] Epoch:4, Accuracy: 0.9473; F1: 0.9711; Precision: 0.9425; Recall: 0.9524; ROC AUC: 0.9710
+[2024-06-09 01:11:29,593 INFO] ======================================================
+[2024-06-09 01:11:29,593 INFO] Epoch:5, Loss: 0.513, Time: 1.11, GPU: 1168.6MiB
+[2024-06-09 01:11:29,593 INFO] Epoch:5, Accuracy: 0.9490; F1: 0.9729; Precision: 0.9457; Recall: 0.9524; ROC AUC: 0.9728
+[2024-06-09 01:11:30,703 INFO] ======================================================
+[2024-06-09 01:11:30,703 INFO] Epoch:6, Loss: 0.426, Time: 1.11, GPU: 1168.6MiB
+[2024-06-09 01:11:30,703 INFO] Epoch:6, Accuracy: 0.9469; F1: 0.9707; Precision: 0.9416; Recall: 0.9524; ROC AUC: 0.9706
+[2024-06-09 01:11:31,814 INFO] ======================================================
+[2024-06-09 01:11:31,814 INFO] Epoch:7, Loss: 0.337, Time: 1.11, GPU: 1168.6MiB
+[2024-06-09 01:11:31,814 INFO] Epoch:7, Accuracy: 0.9701; F1: 0.9820; Precision: 0.9643; Recall: 0.9762; ROC AUC: 0.9820
+[2024-06-09 01:11:32,955 INFO] ======================================================
+[2024-06-09 01:11:32,955 INFO] Epoch:8, Loss: 0.262, Time: 1.14, GPU: 1168.6MiB
+[2024-06-09 01:11:32,955 INFO] Epoch:8, Accuracy: 0.9697; F1: 0.9816; Precision: 0.9636; Recall: 0.9762; ROC AUC: 0.9816
+[2024-06-09 01:11:34,069 INFO] ======================================================
+[2024-06-09 01:11:34,069 INFO] Epoch:9, Loss: 0.217, Time: 1.11, GPU: 1168.6MiB
+[2024-06-09 01:11:34,069 INFO] Epoch:9, Accuracy: 0.9689; F1: 0.9808; Precision: 0.9619; Recall: 0.9762; ROC AUC: 0.9808
+[2024-06-09 01:11:35,207 INFO] ======================================================
+[2024-06-09 01:11:35,207 INFO] Epoch:10, Loss: 0.190, Time: 1.14, GPU: 1168.6MiB
+[2024-06-09 01:11:35,207 INFO] Epoch:10, Accuracy: 0.9693; F1: 0.9811; Precision: 0.9627; Recall: 0.9762; ROC AUC: 0.9812
+[2024-06-09 01:11:36,270 INFO] ======================================================
+[2024-06-09 01:11:36,270 INFO] Epoch:11, Loss: 0.166, Time: 1.06, GPU: 1168.6MiB
+[2024-06-09 01:11:36,270 INFO] Epoch:11, Accuracy: 0.9694; F1: 0.9813; Precision: 0.9630; Recall: 0.9762; ROC AUC: 0.9813
+[2024-06-09 01:11:37,380 INFO] ======================================================
+[2024-06-09 01:11:37,380 INFO] Epoch:12, Loss: 0.144, Time: 1.11, GPU: 1168.6MiB
+[2024-06-09 01:11:37,380 INFO] Epoch:12, Accuracy: 0.9698; F1: 0.9817; Precision: 0.9637; Recall: 0.9762; ROC AUC: 0.9817
+[2024-06-09 01:11:38,459 INFO] ======================================================
+[2024-06-09 01:11:38,459 INFO] Epoch:13, Loss: 0.124, Time: 1.08, GPU: 1168.6MiB
+[2024-06-09 01:11:38,474 INFO] Epoch:13, Accuracy: 0.9932; F1: 0.9931; Precision: 0.9867; Recall: 1.0000; ROC AUC: 0.9932
+[2024-06-09 01:11:39,585 INFO] ======================================================
+[2024-06-09 01:11:39,585 INFO] Epoch:14, Loss: 0.106, Time: 1.11, GPU: 1168.6MiB
+[2024-06-09 01:11:39,585 INFO] Epoch:14, Accuracy: 0.9929; F1: 0.9928; Precision: 0.9862; Recall: 1.0000; ROC AUC: 0.9929
+[2024-06-09 01:11:40,679 INFO] ======================================================
+[2024-06-09 01:11:40,679 INFO] Epoch:15, Loss: 0.091, Time: 1.09, GPU: 1168.6MiB
+[2024-06-09 01:11:40,679 INFO] Epoch:15, Accuracy: 0.9929; F1: 0.9928; Precision: 0.9862; Recall: 1.0000; ROC AUC: 0.9929
+[2024-06-09 01:11:41,805 INFO] ======================================================
+[2024-06-09 01:11:41,805 INFO] Epoch:16, Loss: 0.078, Time: 1.13, GPU: 1168.6MiB
+[2024-06-09 01:11:41,805 INFO] Epoch:16, Accuracy: 0.9934; F1: 0.9933; Precision: 0.9871; Recall: 1.0000; ROC AUC: 0.9933
+[2024-06-09 01:11:42,930 INFO] ======================================================
+[2024-06-09 01:11:42,930 INFO] Epoch:17, Loss: 0.067, Time: 1.13, GPU: 1168.6MiB
+[2024-06-09 01:11:42,930 INFO] Epoch:17, Accuracy: 0.9938; F1: 0.9937; Precision: 0.9879; Recall: 1.0000; ROC AUC: 0.9938
+[2024-06-09 01:11:44,040 INFO] ======================================================
+[2024-06-09 01:11:44,040 INFO] Epoch:18, Loss: 0.058, Time: 1.11, GPU: 1168.6MiB
+[2024-06-09 01:11:44,040 INFO] Epoch:18, Accuracy: 0.9940; F1: 0.9939; Precision: 0.9882; Recall: 1.0000; ROC AUC: 0.9939
+[2024-06-09 01:11:45,133 INFO] ======================================================
+[2024-06-09 01:11:45,133 INFO] Epoch:19, Loss: 0.050, Time: 1.09, GPU: 1168.6MiB
+[2024-06-09 01:11:45,133 INFO] Epoch:19, Accuracy: 0.9942; F1: 0.9941; Precision: 0.9886; Recall: 1.0000; ROC AUC: 0.9941
+[2024-06-09 01:11:46,228 INFO] ======================================================
+[2024-06-09 01:11:46,228 INFO] Epoch:20, Loss: 0.044, Time: 1.09, GPU: 1168.6MiB
+[2024-06-09 01:11:46,228 INFO] Epoch:20, Accuracy: 0.9944; F1: 0.9943; Precision: 0.9892; Recall: 1.0000; ROC AUC: 0.9944
+[2024-06-09 01:11:46,228 INFO] >> Total time : 21.45
+[2024-06-09 01:11:46,228 INFO] >> Parameters: lr:0.0100 |Dim:2 |Window:5 |
+[2024-06-09 01:28:03,358 INFO] using model EGCN
+[2024-06-09 01:28:05,220 INFO] ======================================================
+[2024-06-09 01:28:05,236 INFO] Epoch:1, Loss: 0.742, Time: 1.30, GPU: 905.8MiB
+[2024-06-09 01:28:05,236 INFO] Epoch:1, Accuracy: 0.6665; F1: 0.5020; Precision: 0.5001; Recall: 1.0000; ROC AUC: 0.5045
+[2024-06-09 01:28:06,346 INFO] ======================================================
+[2024-06-09 01:28:06,346 INFO] Epoch:2, Loss: 0.668, Time: 1.11, GPU: 1165.9MiB
+[2024-06-09 01:28:06,346 INFO] Epoch:2, Accuracy: 0.8206; F1: 0.8935; Precision: 0.8259; Recall: 0.8361; ROC AUC: 0.8924
+[2024-06-09 01:34:30,522 INFO] using model EGCN
+[2024-06-09 01:34:32,384 INFO] ======================================================
+[2024-06-09 01:34:32,384 INFO] Epoch:1, Loss: 0.808, Time: 1.30, GPU: 905.8MiB
+[2024-06-09 01:34:32,384 INFO] Epoch:1, Accuracy: 0.9729; F1: 0.9634; Precision: 0.9563; Recall: 1.0000; ROC AUC: 0.9637
+[2024-06-09 01:34:33,527 INFO] ======================================================
+[2024-06-09 01:34:33,527 INFO] Epoch:2, Loss: 0.580, Time: 1.14, GPU: 1165.9MiB
+[2024-06-09 01:34:33,527 INFO] Epoch:2, Accuracy: 0.8116; F1: 0.7461; Precision: 0.6989; Recall: 1.0000; ROC AUC: 0.7472
+[2024-06-09 01:34:34,636 INFO] ======================================================
+[2024-06-09 01:34:34,636 INFO] Epoch:3, Loss: 0.501, Time: 1.11, GPU: 1168.6MiB
+[2024-06-09 01:34:34,636 INFO] Epoch:3, Accuracy: 0.9826; F1: 0.9781; Precision: 0.9702; Recall: 1.0000; ROC AUC: 0.9783
+[2024-06-09 01:34:35,730 INFO] ======================================================
+[2024-06-09 01:34:35,730 INFO] Epoch:4, Loss: 0.362, Time: 1.09, GPU: 1168.6MiB
+[2024-06-09 01:34:35,730 INFO] Epoch:4, Accuracy: 0.9880; F1: 0.9840; Precision: 0.9802; Recall: 1.0000; ROC AUC: 0.9841
+[2024-06-09 01:34:37,027 INFO] ======================================================
+[2024-06-09 01:34:37,027 INFO] Epoch:5, Loss: 0.213, Time: 1.30, GPU: 1168.6MiB
+[2024-06-09 01:34:37,027 INFO] Epoch:5, Accuracy: 0.9880; F1: 0.9847; Precision: 0.9797; Recall: 1.0000; ROC AUC: 0.9848
+[2024-06-09 01:34:38,358 INFO] ======================================================
+[2024-06-09 01:34:38,358 INFO] Epoch:6, Loss: 0.126, Time: 1.33, GPU: 1168.6MiB
+[2024-06-09 01:34:38,358 INFO] Epoch:6, Accuracy: 0.9889; F1: 0.9861; Precision: 0.9812; Recall: 1.0000; ROC AUC: 0.9862
+[2024-06-09 01:34:39,605 INFO] ======================================================
+[2024-06-09 01:34:39,605 INFO] Epoch:7, Loss: 0.093, Time: 1.25, GPU: 1168.6MiB
+[2024-06-09 01:34:39,605 INFO] Epoch:7, Accuracy: 0.9895; F1: 0.9867; Precision: 0.9823; Recall: 1.0000; ROC AUC: 0.9868
+[2024-06-09 01:34:40,901 INFO] ======================================================
+[2024-06-09 01:34:40,901 INFO] Epoch:8, Loss: 0.070, Time: 1.30, GPU: 1168.6MiB
+[2024-06-09 01:34:40,901 INFO] Epoch:8, Accuracy: 0.9908; F1: 0.9886; Precision: 0.9842; Recall: 1.0000; ROC AUC: 0.9887
+[2024-06-09 01:34:42,175 INFO] ======================================================
+[2024-06-09 01:34:42,175 INFO] Epoch:9, Loss: 0.058, Time: 1.27, GPU: 1168.6MiB
+[2024-06-09 01:34:42,175 INFO] Epoch:9, Accuracy: 0.9908; F1: 0.9886; Precision: 0.9842; Recall: 1.0000; ROC AUC: 0.9887
+[2024-06-09 01:34:43,464 INFO] ======================================================
+[2024-06-09 01:34:43,464 INFO] Epoch:10, Loss: 0.050, Time: 1.29, GPU: 1168.6MiB
+[2024-06-09 01:34:43,464 INFO] Epoch:10, Accuracy: 0.9907; F1: 0.9885; Precision: 0.9840; Recall: 1.0000; ROC AUC: 0.9886
+[2024-06-09 01:34:44,714 INFO] ======================================================
+[2024-06-09 01:34:44,714 INFO] Epoch:11, Loss: 0.042, Time: 1.25, GPU: 1168.6MiB
+[2024-06-09 01:34:44,714 INFO] Epoch:11, Accuracy: 0.9941; F1: 0.9938; Precision: 0.9889; Recall: 1.0000; ROC AUC: 0.9938
+[2024-06-09 01:34:46,084 INFO] ======================================================
+[2024-06-09 01:34:46,084 INFO] Epoch:12, Loss: 0.036, Time: 1.37, GPU: 1168.6MiB
+[2024-06-09 01:34:46,084 INFO] Epoch:12, Accuracy: 0.9966; F1: 0.9965; Precision: 0.9932; Recall: 1.0000; ROC AUC: 0.9966
+[2024-06-09 01:34:47,395 INFO] ======================================================
+[2024-06-09 01:34:47,395 INFO] Epoch:13, Loss: 0.032, Time: 1.31, GPU: 1168.6MiB
+[2024-06-09 01:34:47,395 INFO] Epoch:13, Accuracy: 0.9966; F1: 0.9965; Precision: 0.9932; Recall: 1.0000; ROC AUC: 0.9966
+[2024-06-09 01:34:48,685 INFO] ======================================================
+[2024-06-09 01:34:48,685 INFO] Epoch:14, Loss: 0.029, Time: 1.29, GPU: 1168.6MiB
+[2024-06-09 01:34:48,685 INFO] Epoch:14, Accuracy: 0.9967; F1: 0.9966; Precision: 0.9934; Recall: 1.0000; ROC AUC: 0.9967
+[2024-06-09 01:34:50,100 INFO] ======================================================
+[2024-06-09 01:34:50,100 INFO] Epoch:15, Loss: 0.026, Time: 1.42, GPU: 1168.6MiB
+[2024-06-09 01:34:50,101 INFO] Epoch:15, Accuracy: 0.9967; F1: 0.9966; Precision: 0.9934; Recall: 1.0000; ROC AUC: 0.9967
+[2024-06-09 01:34:51,436 INFO] ======================================================
+[2024-06-09 01:34:51,436 INFO] Epoch:16, Loss: 0.024, Time: 1.33, GPU: 1168.6MiB
+[2024-06-09 01:34:51,436 INFO] Epoch:16, Accuracy: 0.9967; F1: 0.9966; Precision: 0.9934; Recall: 1.0000; ROC AUC: 0.9967
+[2024-06-09 01:34:52,651 INFO] ======================================================
+[2024-06-09 01:34:52,651 INFO] Epoch:17, Loss: 0.022, Time: 1.21, GPU: 1168.6MiB
+[2024-06-09 01:34:52,651 INFO] Epoch:17, Accuracy: 0.9968; F1: 0.9968; Precision: 0.9936; Recall: 1.0000; ROC AUC: 0.9968
+[2024-06-09 01:34:53,900 INFO] ======================================================
+[2024-06-09 01:34:53,900 INFO] Epoch:18, Loss: 0.020, Time: 1.25, GPU: 1168.6MiB
+[2024-06-09 01:34:53,900 INFO] Epoch:18, Accuracy: 0.9970; F1: 0.9970; Precision: 0.9940; Recall: 1.0000; ROC AUC: 0.9970
+[2024-06-09 01:34:55,136 INFO] ======================================================
+[2024-06-09 01:34:55,136 INFO] Epoch:19, Loss: 0.019, Time: 1.24, GPU: 1168.6MiB
+[2024-06-09 01:34:55,136 INFO] Epoch:19, Accuracy: 0.9970; F1: 0.9970; Precision: 0.9941; Recall: 1.0000; ROC AUC: 0.9970
+[2024-06-09 01:34:56,415 INFO] ======================================================
+[2024-06-09 01:34:56,415 INFO] Epoch:20, Loss: 0.018, Time: 1.28, GPU: 1168.6MiB
+[2024-06-09 01:34:56,415 INFO] Epoch:20, Accuracy: 0.9970; F1: 0.9970; Precision: 0.9941; Recall: 1.0000; ROC AUC: 0.9970
+[2024-06-09 01:34:56,415 INFO] >> Total time : 25.33
+[2024-06-09 01:34:56,416 INFO] >> Parameters: lr:0.0100 |Dim:2 |Window:5 |
+[2024-06-09 01:38:04,665 INFO] using model EGCN
+[2024-06-09 01:38:40,001 INFO] using model EGCN
+[2024-06-09 01:39:00,781 INFO] using model EGCN
+[2024-06-09 01:39:02,688 INFO] ======================================================
+[2024-06-09 01:39:02,688 INFO] Epoch:1, Loss: 0.777, Time: 1.34, GPU: 905.8MiB
+[2024-06-09 01:39:02,688 INFO] Epoch:1, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:39:03,846 INFO] ======================================================
+[2024-06-09 01:39:03,846 INFO] Epoch:2, Loss: 0.651, Time: 1.16, GPU: 908.0MiB
+[2024-06-09 01:39:03,846 INFO] Epoch:2, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:39:05,065 INFO] ======================================================
+[2024-06-09 01:39:05,065 INFO] Epoch:3, Loss: 0.582, Time: 1.22, GPU: 908.0MiB
+[2024-06-09 01:39:05,065 INFO] Epoch:3, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:39:06,223 INFO] ======================================================
+[2024-06-09 01:39:06,223 INFO] Epoch:4, Loss: 0.448, Time: 1.16, GPU: 908.0MiB
+[2024-06-09 01:39:06,223 INFO] Epoch:4, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:39:07,363 INFO] ======================================================
+[2024-06-09 01:39:07,363 INFO] Epoch:5, Loss: 0.335, Time: 1.14, GPU: 908.0MiB
+[2024-06-09 01:39:07,363 INFO] Epoch:5, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:39:08,489 INFO] ======================================================
+[2024-06-09 01:39:08,489 INFO] Epoch:6, Loss: 0.245, Time: 1.13, GPU: 908.0MiB
+[2024-06-09 01:39:08,489 INFO] Epoch:6, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:39:09,694 INFO] ======================================================
+[2024-06-09 01:39:09,694 INFO] Epoch:7, Loss: 0.205, Time: 1.20, GPU: 908.0MiB
+[2024-06-09 01:39:09,694 INFO] Epoch:7, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:39:10,865 INFO] ======================================================
+[2024-06-09 01:39:10,865 INFO] Epoch:8, Loss: 0.181, Time: 1.17, GPU: 908.0MiB
+[2024-06-09 01:39:10,865 INFO] Epoch:8, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:39:12,100 INFO] ======================================================
+[2024-06-09 01:39:12,100 INFO] Epoch:9, Loss: 0.159, Time: 1.23, GPU: 908.0MiB
+[2024-06-09 01:39:12,100 INFO] Epoch:9, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:39:13,273 INFO] ======================================================
+[2024-06-09 01:39:13,273 INFO] Epoch:10, Loss: 0.140, Time: 1.17, GPU: 908.0MiB
+[2024-06-09 01:39:13,273 INFO] Epoch:10, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:39:14,461 INFO] ======================================================
+[2024-06-09 01:39:14,461 INFO] Epoch:11, Loss: 0.122, Time: 1.19, GPU: 908.0MiB
+[2024-06-09 01:39:14,461 INFO] Epoch:11, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:39:15,633 INFO] ======================================================
+[2024-06-09 01:39:15,633 INFO] Epoch:12, Loss: 0.107, Time: 1.17, GPU: 908.0MiB
+[2024-06-09 01:39:15,633 INFO] Epoch:12, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:39:16,790 INFO] ======================================================
+[2024-06-09 01:39:16,790 INFO] Epoch:13, Loss: 0.093, Time: 1.16, GPU: 908.0MiB
+[2024-06-09 01:39:16,790 INFO] Epoch:13, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:39:17,963 INFO] ======================================================
+[2024-06-09 01:39:17,963 INFO] Epoch:14, Loss: 0.080, Time: 1.17, GPU: 908.0MiB
+[2024-06-09 01:39:17,963 INFO] Epoch:14, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000
+[2024-06-09 01:39:19,183 INFO] ======================================================
+[2024-06-09 01:39:19,183 INFO] Epoch:15, Loss: 0.070, Time: 1.22, GPU: 908.0MiB
+[2024-06-09 01:39:19,183 INFO] Epoch:15, Accuracy: 0.6646; F1: 0.4982; Precision: 0.4978; Recall: 1.0000; ROC AUC: 0.5007
+[2024-06-09 01:39:20,387 INFO] ======================================================
+[2024-06-09 01:39:20,387 INFO] Epoch:16, Loss: 0.061, Time: 1.20, GPU: 908.0MiB
+[2024-06-09 01:39:20,387 INFO] Epoch:16, Accuracy: 0.7070; F1: 0.5790; Precision: 0.5502; Recall: 1.0000; ROC AUC: 0.5811
+[2024-06-09 01:39:21,560 INFO] ======================================================
+[2024-06-09 01:39:21,560 INFO] Epoch:17, Loss: 0.053, Time: 1.17, GPU: 908.0MiB
+[2024-06-09 01:39:21,560 INFO] Epoch:17, Accuracy: 0.8632; F1: 0.8256; Precision: 0.7738; Recall: 1.0000; ROC AUC: 0.8270
+[2024-06-09 01:39:22,763 INFO] ======================================================
+[2024-06-09 01:39:22,763 INFO] Epoch:18, Loss: 0.047, Time: 1.20, GPU: 908.0MiB
+[2024-06-09 01:39:22,763 INFO] Epoch:18, Accuracy: 0.9552; F1: 0.9458; Precision: 0.9227; Recall: 1.0000; ROC AUC: 0.9465
+[2024-06-09 01:39:23,968 INFO] ======================================================
+[2024-06-09 01:39:23,968 INFO] Epoch:19, Loss: 0.042, Time: 1.20, GPU: 908.0MiB
+[2024-06-09 01:39:23,968 INFO] Epoch:19, Accuracy: 0.9821; F1: 0.9810; Precision: 0.9662; Recall: 1.0000; ROC AUC: 0.9813
+[2024-06-09 01:39:25,234 INFO] ======================================================
+[2024-06-09 01:39:25,234 INFO] Epoch:20, Loss: 0.038, Time: 1.27, GPU: 908.0MiB
+[2024-06-09 01:39:25,234 INFO] Epoch:20, Accuracy: 0.9906; F1: 0.9905; Precision: 0.9817; Recall: 1.0000; ROC AUC: 0.9906
+[2024-06-09 01:39:25,234 INFO] >> Total time : 23.89
+[2024-06-09 01:39:25,234 INFO] >> Parameters: lr:0.0100 |Dim:2 |Window:5 |
+[2024-06-09 01:42:38,292 INFO] using model EGCN
+[2024-06-09 01:42:40,333 INFO] ======================================================
+[2024-06-09 01:42:40,333 INFO] Epoch:1, Loss: 0.692, Time: 1.45, GPU: 905.8MiB
+[2024-06-09 01:42:40,333 INFO] Epoch:1, Accuracy: 0.0000; F1: 0.5025; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000, MEMORY: 905.8038, time: 0.0105
+[2024-06-09 01:42:41,612 INFO] ======================================================
+[2024-06-09 01:42:41,612 INFO] Epoch:2, Loss: 0.550, Time: 1.28, GPU: 908.0MiB
+[2024-06-09 01:42:41,613 INFO] Epoch:2, Accuracy: 0.0000; F1: 0.5025; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000, MEMORY: 907.9905, time: 0.0084
+[2024-06-09 01:42:42,931 INFO] ======================================================
+[2024-06-09 01:42:42,931 INFO] Epoch:3, Loss: 0.534, Time: 1.32, GPU: 908.0MiB
+[2024-06-09 01:42:42,931 INFO] Epoch:3, Accuracy: 0.0000; F1: 0.5025; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000, MEMORY: 907.9905, time: 0.0105
+[2024-06-09 01:42:44,443 INFO] ======================================================
+[2024-06-09 01:42:44,443 INFO] Epoch:4, Loss: 0.299, Time: 1.51, GPU: 908.0MiB
+[2024-06-09 01:42:44,444 INFO] Epoch:4, Accuracy: 0.0000; F1: 0.5025; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000, MEMORY: 907.9905, time: 0.0113
+[2024-06-09 01:42:44,765 INFO] ======================================================
+[2024-06-09 01:42:44,765 INFO] Epoch:5, Loss: 0.308, Time: 0.32, GPU: 908.0MiB
+[2024-06-09 01:42:44,765 INFO] Epoch:5, Accuracy: 0.0000; F1: 0.5025; Precision: 0.0000; Recall: 0.0000; ROC AUC: 0.5000, MEMORY: 907.9905, time: 0.0113
+[2024-06-09 01:42:46,343 INFO] ======================================================
+[2024-06-09 01:42:46,343 INFO] Epoch:6, Loss: 0.200, Time: 1.58, GPU: 908.8MiB
+[2024-06-09 01:42:46,343 INFO] Epoch:6, Accuracy: 0.0238; F1: 0.5142; Precision: 0.0238; Recall: 0.0238; ROC AUC: 0.5119, MEMORY: 908.7841, time: 0.0107
+[2024-06-09 01:42:47,770 INFO] ======================================================
+[2024-06-09 01:42:47,770 INFO] Epoch:7, Loss: 0.161, Time: 1.43, GPU: 908.8MiB
+[2024-06-09 01:42:47,770 INFO] Epoch:7, Accuracy: 0.9743; F1: 0.9863; Precision: 0.9725; Recall: 0.9762; ROC AUC: 0.9863, MEMORY: 908.7841, time: 0.0116
+[2024-06-09 01:42:49,232 INFO] ======================================================
+[2024-06-09 01:42:49,232 INFO] Epoch:8, Loss: 0.142, Time: 1.46, GPU: 908.8MiB
+[2024-06-09 01:42:49,232 INFO] Epoch:8, Accuracy: 0.9972; F1: 0.9972; Precision: 0.9945; Recall: 1.0000; ROC AUC: 0.9973, MEMORY: 908.7841, time: 0.0097
+[2024-06-09 01:42:50,568 INFO] ======================================================
+[2024-06-09 01:42:50,568 INFO] Epoch:9, Loss: 0.115, Time: 1.34, GPU: 908.8MiB
+[2024-06-09 01:42:50,568 INFO] Epoch:9, Accuracy: 0.9967; F1: 0.9967; Precision: 0.9935; Recall: 1.0000; ROC AUC: 0.9967, MEMORY: 908.7841, time: 0.0090
+[2024-06-09 01:42:51,787 INFO] ======================================================
+[2024-06-09 01:42:51,787 INFO] Epoch:10, Loss: 0.090, Time: 1.22, GPU: 908.8MiB
+[2024-06-09 01:42:51,787 INFO] Epoch:10, Accuracy: 0.9967; F1: 0.9967; Precision: 0.9934; Recall: 1.0000; ROC AUC: 0.9967, MEMORY: 908.7841, time: 0.0086
+[2024-06-09 01:42:58,368 INFO] using model EGCN
+[2024-06-09 01:43:00,248 INFO] ======================================================
+[2024-06-09 01:43:00,248 INFO] Epoch:1, Loss: 0.639, Time: 1.35, GPU: 905.8MiB
+[2024-06-09 01:43:00,248 INFO] Epoch:1, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000, MEMORY: 905.8038, time: 0.0086
+[2024-06-09 01:43:00,498 INFO] ======================================================
+[2024-06-09 01:43:00,498 INFO] Epoch:2, Loss: 0.664, Time: 0.25, GPU: 908.0MiB
+[2024-06-09 01:43:00,498 INFO] Epoch:2, Accuracy: 0.6643; F1: 0.4975; Precision: 0.4975; Recall: 1.0000; ROC AUC: 0.5000, MEMORY: 905.8038, time: 0.0086
+[2024-06-09 01:43:01,686 INFO] ======================================================
+[2024-06-09 01:43:01,686 INFO] Epoch:3, Loss: 0.395, Time: 1.19, GPU: 908.8MiB
+[2024-06-09 01:43:01,686 INFO] Epoch:3, Accuracy: 0.6645; F1: 0.4978; Precision: 0.4976; Recall: 1.0000; ROC AUC: 0.5004, MEMORY: 908.7841, time: 0.0104
+[2024-06-09 01:43:01,919 INFO] ======================================================
+[2024-06-09 01:43:01,919 INFO] Epoch:4, Loss: 0.444, Time: 0.23, GPU: 908.8MiB
+[2024-06-09 01:43:01,919 INFO] Epoch:4, Accuracy: 0.6645; F1: 0.4978; Precision: 0.4976; Recall: 1.0000; ROC AUC: 0.5004, MEMORY: 908.7841, time: 0.0104
+[2024-06-09 01:43:03,105 INFO] ======================================================
+[2024-06-09 01:43:03,105 INFO] Epoch:5, Loss: 0.248, Time: 1.19, GPU: 908.8MiB
+[2024-06-09 01:43:03,105 INFO] Epoch:5, Accuracy: 0.7532; F1: 0.6590; Precision: 0.6122; Recall: 1.0000; ROC AUC: 0.6609, MEMORY: 908.7841, time: 0.0091
+[2024-06-09 01:43:04,264 INFO] ======================================================
+[2024-06-09 01:43:04,264 INFO] Epoch:6, Loss: 0.175, Time: 1.16, GPU: 908.8MiB
+[2024-06-09 01:43:04,264 INFO] Epoch:6, Accuracy: 0.8506; F1: 0.8096; Precision: 0.7531; Recall: 1.0000; ROC AUC: 0.8106, MEMORY: 908.7841, time: 0.0079
+[2024-06-09 01:43:05,420 INFO] ======================================================
+[2024-06-09 01:43:05,420 INFO] Epoch:7, Loss: 0.149, Time: 1.16, GPU: 908.8MiB
+[2024-06-09 01:43:05,420 INFO] Epoch:7, Accuracy: 0.9296; F1: 0.9126; Precision: 0.8810; Recall: 1.0000; ROC AUC: 0.9136, MEMORY: 908.7841, time: 0.0090
+[2024-06-09 01:43:06,594 INFO] ======================================================
+[2024-06-09 01:43:06,594 INFO] Epoch:8, Loss: 0.106, Time: 1.17, GPU: 908.8MiB
+[2024-06-09 01:43:06,594 INFO] Epoch:8, Accuracy: 0.9652; F1: 0.9614; Precision: 0.9368; Recall: 1.0000; ROC AUC: 0.9620, MEMORY: 908.7841, time: 0.0081
+[2024-06-09 01:43:07,766 INFO] ======================================================
+[2024-06-09 01:43:07,766 INFO] Epoch:9, Loss: 0.081, Time: 1.17, GPU: 908.8MiB
+[2024-06-09 01:43:07,766 INFO] Epoch:9, Accuracy: 0.9873; F1: 0.9870; Precision: 0.9753; Recall: 1.0000; ROC AUC: 0.9871, MEMORY: 908.7841, time: 0.0083
+[2024-06-09 01:43:08,986 INFO] ======================================================
+[2024-06-09 01:43:08,986 INFO] Epoch:10, Loss: 0.068, Time: 1.22, GPU: 908.8MiB
+[2024-06-09 01:43:08,986 INFO] Epoch:10, Accuracy: 0.9892; F1: 0.9890; Precision: 0.9789; Recall: 1.0000; ROC AUC: 0.9891, MEMORY: 908.7841, time: 0.0088
+[2024-06-09 01:43:10,158 INFO] ======================================================
+[2024-06-09 01:43:10,158 INFO] Epoch:11, Loss: 0.054, Time: 1.17, GPU: 908.8MiB
+[2024-06-09 01:43:10,158 INFO] Epoch:11, Accuracy: 0.9903; F1: 0.9901; Precision: 0.9810; Recall: 1.0000; ROC AUC: 0.9902, MEMORY: 908.7841, time: 0.0092
+[2024-06-09 01:43:11,347 INFO] ======================================================
+[2024-06-09 01:43:11,347 INFO] Epoch:12, Loss: 0.043, Time: 1.19, GPU: 908.8MiB
+[2024-06-09 01:43:11,347 INFO] Epoch:12, Accuracy: 0.9909; F1: 0.9907; Precision: 0.9822; Recall: 1.0000; ROC AUC: 0.9908, MEMORY: 908.7841, time: 0.0088
+[2024-06-09 01:43:12,535 INFO] ======================================================
+[2024-06-09 01:43:12,535 INFO] Epoch:13, Loss: 0.036, Time: 1.19, GPU: 908.8MiB
+[2024-06-09 01:43:12,535 INFO] Epoch:13, Accuracy: 0.9916; F1: 0.9914; Precision: 0.9835; Recall: 1.0000; ROC AUC: 0.9915, MEMORY: 908.7841, time: 0.0105
+[2024-06-09 01:43:13,753 INFO] ======================================================
+[2024-06-09 01:43:13,753 INFO] Epoch:14, Loss: 0.031, Time: 1.22, GPU: 908.8MiB
+[2024-06-09 01:43:13,753 INFO] Epoch:14, Accuracy: 0.9926; F1: 0.9925; Precision: 0.9856; Recall: 1.0000; ROC AUC: 0.9926, MEMORY: 908.7841, time: 0.0105
+[2024-06-09 01:43:14,927 INFO] ======================================================
+[2024-06-09 01:43:14,942 INFO] Epoch:15, Loss: 0.027, Time: 1.19, GPU: 908.8MiB
+[2024-06-09 01:43:14,942 INFO] Epoch:15, Accuracy: 0.9927; F1: 0.9925; Precision: 0.9857; Recall: 1.0000; ROC AUC: 0.9926, MEMORY: 908.7841, time: 0.0080
+[2024-06-09 01:43:16,115 INFO] ======================================================
+[2024-06-09 01:43:16,115 INFO] Epoch:16, Loss: 0.024, Time: 1.17, GPU: 908.8MiB
+[2024-06-09 01:43:16,115 INFO] Epoch:16, Accuracy: 0.9931; F1: 0.9930; Precision: 0.9866; Recall: 1.0000; ROC AUC: 0.9931, MEMORY: 908.7841, time: 0.0104
+[2024-06-09 01:43:17,271 INFO] ======================================================
+[2024-06-09 01:43:17,271 INFO] Epoch:17, Loss: 0.021, Time: 1.16, GPU: 908.8MiB
+[2024-06-09 01:43:17,271 INFO] Epoch:17, Accuracy: 0.9935; F1: 0.9935; Precision: 0.9874; Recall: 1.0000; ROC AUC: 0.9935, MEMORY: 908.7841, time: 0.0083
+[2024-06-09 01:43:18,430 INFO] ======================================================
+[2024-06-09 01:43:18,430 INFO] Epoch:18, Loss: 0.020, Time: 1.16, GPU: 908.8MiB
+[2024-06-09 01:43:18,430 INFO] Epoch:18, Accuracy: 0.9936; F1: 0.9935; Precision: 0.9875; Recall: 1.0000; ROC AUC: 0.9936, MEMORY: 908.7841, time: 0.0095
+[2024-06-09 01:43:19,634 INFO] ======================================================
+[2024-06-09 01:43:19,634 INFO] Epoch:19, Loss: 0.019, Time: 1.20, GPU: 908.8MiB
+[2024-06-09 01:43:19,634 INFO] Epoch:19, Accuracy: 0.9940; F1: 0.9939; Precision: 0.9883; Recall: 1.0000; ROC AUC: 0.9940, MEMORY: 908.7841, time: 0.0100
+[2024-06-09 01:43:20,822 INFO] ======================================================
+[2024-06-09 01:43:20,822 INFO] Epoch:20, Loss: 0.018, Time: 1.19, GPU: 908.8MiB
+[2024-06-09 01:43:20,822 INFO] Epoch:20, Accuracy: 0.9948; F1: 0.9948; Precision: 0.9898; Recall: 1.0000; ROC AUC: 0.9949, MEMORY: 908.7841, time: 0.0097
+[2024-06-09 01:43:20,822 INFO] >> Total time : 21.92
+[2024-06-09 01:43:20,822 INFO] >> Parameters: lr:0.0100 |Dim:2 |Window:5 |
+[2024-06-10 01:24:08,928 INFO] using model EGCN
+[2024-06-10 01:24:44,225 INFO] using model EGCN
+[2024-06-10 01:24:45,243 INFO] ======================================================
+[2024-06-10 01:24:45,243 INFO] Epoch:1, Loss: 0.780, Time: 0.75, GPU: 487.8MiB
+[2024-06-10 01:24:45,243 INFO] Epoch:1, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 487.7568, time: 9.3344
+[2024-06-10 01:24:45,808 INFO] ======================================================
+[2024-06-10 01:24:45,808 INFO] Epoch:2, Loss: 0.647, Time: 0.56, GPU: 487.8MiB
+[2024-06-10 01:24:45,808 INFO] Epoch:2, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 487.7568, time: 9.1138
+[2024-06-10 01:24:45,934 INFO] ======================================================
+[2024-06-10 01:24:45,934 INFO] Epoch:3, Loss: 0.684, Time: 0.13, GPU: 489.6MiB
+[2024-06-10 01:24:45,934 INFO] Epoch:3, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 487.7568, time: 9.1138
+[2024-06-10 01:24:46,464 INFO] ======================================================
+[2024-06-10 01:24:46,464 INFO] Epoch:4, Loss: 0.567, Time: 0.53, GPU: 491.4MiB
+[2024-06-10 01:24:46,464 INFO] Epoch:4, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 491.3751, time: 8.3604
+[2024-06-10 01:24:46,574 INFO] ======================================================
+[2024-06-10 01:24:46,574 INFO] Epoch:5, Loss: 0.570, Time: 0.11, GPU: 492.9MiB
+[2024-06-10 01:24:46,574 INFO] Epoch:5, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 491.3751, time: 8.3604
+[2024-06-10 01:24:47,122 INFO] ======================================================
+[2024-06-10 01:24:47,122 INFO] Epoch:6, Loss: 0.526, Time: 0.55, GPU: 492.9MiB
+[2024-06-10 01:24:47,122 INFO] Epoch:6, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 492.9224, time: 9.0968
+[2024-06-10 01:24:47,685 INFO] ======================================================
+[2024-06-10 01:24:47,685 INFO] Epoch:7, Loss: 0.516, Time: 0.56, GPU: 492.9MiB
+[2024-06-10 01:24:47,685 INFO] Epoch:7, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 492.9224, time: 8.2237
+[2024-06-10 01:24:48,263 INFO] ======================================================
+[2024-06-10 01:24:48,263 INFO] Epoch:8, Loss: 0.481, Time: 0.58, GPU: 493.5MiB
+[2024-06-10 01:24:48,263 INFO] Epoch:8, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 493.4661, time: 9.6127
+[2024-06-10 01:24:48,831 INFO] ======================================================
+[2024-06-10 01:24:48,831 INFO] Epoch:9, Loss: 0.450, Time: 0.57, GPU: 493.5MiB
+[2024-06-10 01:24:48,831 INFO] Epoch:9, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 493.4661, time: 9.0753
+[2024-06-10 01:24:49,420 INFO] ======================================================
+[2024-06-10 01:24:49,420 INFO] Epoch:10, Loss: 0.434, Time: 0.59, GPU: 493.5MiB
+[2024-06-10 01:24:49,420 INFO] Epoch:10, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 493.4661, time: 11.1587
+[2024-06-10 01:24:49,999 INFO] ======================================================
+[2024-06-10 01:24:49,999 INFO] Epoch:11, Loss: 0.409, Time: 0.58, GPU: 493.5MiB
+[2024-06-10 01:24:49,999 INFO] Epoch:11, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 493.4661, time: 7.9818
+[2024-06-10 01:24:50,597 INFO] ======================================================
+[2024-06-10 01:24:50,597 INFO] Epoch:12, Loss: 0.388, Time: 0.60, GPU: 493.5MiB
+[2024-06-10 01:24:50,597 INFO] Epoch:12, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 493.4661, time: 10.4295
+[2024-06-10 01:24:51,175 INFO] ======================================================
+[2024-06-10 01:24:51,175 INFO] Epoch:13, Loss: 0.365, Time: 0.56, GPU: 493.5MiB
+[2024-06-10 01:24:51,175 INFO] Epoch:13, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 493.4661, time: 9.9226
+[2024-06-10 01:24:51,753 INFO] ======================================================
+[2024-06-10 01:24:51,753 INFO] Epoch:14, Loss: 0.344, Time: 0.58, GPU: 493.5MiB
+[2024-06-10 01:24:51,753 INFO] Epoch:14, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 493.4661, time: 11.5127
+[2024-06-10 01:24:52,339 INFO] ======================================================
+[2024-06-10 01:24:52,339 INFO] Epoch:15, Loss: 0.326, Time: 0.59, GPU: 493.5MiB
+[2024-06-10 01:24:52,339 INFO] Epoch:15, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 493.4661, time: 10.5679
+[2024-06-10 01:24:52,910 INFO] ======================================================
+[2024-06-10 01:24:52,910 INFO] Epoch:16, Loss: 0.307, Time: 0.57, GPU: 493.5MiB
+[2024-06-10 01:24:52,910 INFO] Epoch:16, Accuracy: 0.6697; F1: 0.5037; Recall: 0.9935; Precision: 0.5052; ROC AUC: 0.4967, MEMORY: 493.4661, time: 9.8681
+[2024-06-10 01:24:53,473 INFO] ======================================================
+[2024-06-10 01:24:53,473 INFO] Epoch:17, Loss: 0.289, Time: 0.56, GPU: 493.5MiB
+[2024-06-10 01:24:53,473 INFO] Epoch:17, Accuracy: 0.6697; F1: 0.5037; Recall: 0.9935; Precision: 0.5052; ROC AUC: 0.4967, MEMORY: 493.4661, time: 11.2218
+[2024-06-10 01:24:54,020 INFO] ======================================================
+[2024-06-10 01:24:54,020 INFO] Epoch:18, Loss: 0.270, Time: 0.55, GPU: 493.5MiB
+[2024-06-10 01:24:54,020 INFO] Epoch:18, Accuracy: 0.6748; F1: 0.5183; Recall: 0.9723; Precision: 0.5233; ROC AUC: 0.5125, MEMORY: 493.4661, time: 8.2233
+[2024-06-10 01:24:54,585 INFO] ======================================================
+[2024-06-10 01:24:54,585 INFO] Epoch:19, Loss: 0.256, Time: 0.56, GPU: 493.5MiB
+[2024-06-10 01:24:54,585 INFO] Epoch:19, Accuracy: 0.7413; F1: 0.6441; Recall: 0.9199; Precision: 0.6718; ROC AUC: 0.6440, MEMORY: 493.4661, time: 9.5277
+[2024-06-10 01:24:55,161 INFO] ======================================================
+[2024-06-10 01:24:55,161 INFO] Epoch:20, Loss: 0.243, Time: 0.58, GPU: 493.5MiB
+[2024-06-10 01:24:55,161 INFO] Epoch:20, Accuracy: 0.8875; F1: 0.9109; Recall: 0.8801; Precision: 0.9197; ROC AUC: 0.9133, MEMORY: 493.4661, time: 9.2939
+[2024-06-10 01:24:55,161 INFO] >> Total time : 10.67
+[2024-06-10 01:24:55,161 INFO] >> Parameters: lr:0.0100 |Dim:2 |Window:5 |
+[2024-06-10 01:25:12,016 INFO] using model EGCN
+[2024-06-10 01:25:13,049 INFO] ======================================================
+[2024-06-10 01:25:13,049 INFO] Epoch:1, Loss: 0.685, Time: 0.77, GPU: 487.8MiB
+[2024-06-10 01:25:13,049 INFO] Epoch:1, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 487.7568, time: 6.5787
+[2024-06-10 01:25:13,629 INFO] ======================================================
+[2024-06-10 01:25:13,629 INFO] Epoch:2, Loss: 0.674, Time: 0.58, GPU: 487.8MiB
+[2024-06-10 01:25:13,629 INFO] Epoch:2, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 487.7568, time: 9.0809
+[2024-06-10 01:25:14,207 INFO] ======================================================
+[2024-06-10 01:25:14,207 INFO] Epoch:3, Loss: 0.665, Time: 0.58, GPU: 489.6MiB
+[2024-06-10 01:25:14,207 INFO] Epoch:3, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 489.6082, time: 7.5364
+[2024-06-10 01:25:14,801 INFO] ======================================================
+[2024-06-10 01:25:14,801 INFO] Epoch:4, Loss: 0.656, Time: 0.59, GPU: 489.6MiB
+[2024-06-10 01:25:14,801 INFO] Epoch:4, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 489.6082, time: 9.2712
+[2024-06-10 01:25:15,336 INFO] ======================================================
+[2024-06-10 01:25:15,336 INFO] Epoch:5, Loss: 0.648, Time: 0.54, GPU: 489.6MiB
+[2024-06-10 01:25:15,336 INFO] Epoch:5, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 489.6082, time: 8.5444
+[2024-06-10 01:25:15,931 INFO] ======================================================
+[2024-06-10 01:25:15,931 INFO] Epoch:6, Loss: 0.640, Time: 0.60, GPU: 489.6MiB
+[2024-06-10 01:25:15,931 INFO] Epoch:6, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 489.6082, time: 9.6154
+[2024-06-10 01:25:16,510 INFO] ======================================================
+[2024-06-10 01:25:16,510 INFO] Epoch:7, Loss: 0.632, Time: 0.58, GPU: 489.6MiB
+[2024-06-10 01:25:16,510 INFO] Epoch:7, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 489.6082, time: 9.7569
+[2024-06-10 01:25:17,073 INFO] ======================================================
+[2024-06-10 01:25:17,073 INFO] Epoch:8, Loss: 0.625, Time: 0.56, GPU: 489.6MiB
+[2024-06-10 01:25:17,073 INFO] Epoch:8, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 489.6082, time: 9.2422
+[2024-06-10 01:25:17,639 INFO] ======================================================
+[2024-06-10 01:25:17,639 INFO] Epoch:9, Loss: 0.618, Time: 0.57, GPU: 489.6MiB
+[2024-06-10 01:25:17,639 INFO] Epoch:9, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 489.6082, time: 8.7507
+[2024-06-10 01:25:18,197 INFO] ======================================================
+[2024-06-10 01:25:18,197 INFO] Epoch:10, Loss: 0.610, Time: 0.56, GPU: 489.6MiB
+[2024-06-10 01:25:18,197 INFO] Epoch:10, Accuracy: 0.6697; F1: 0.5037; Recall: 0.9935; Precision: 0.5052; ROC AUC: 0.4967, MEMORY: 489.6082, time: 8.9353
+[2024-06-10 01:25:18,744 INFO] ======================================================
+[2024-06-10 01:25:18,744 INFO] Epoch:11, Loss: 0.603, Time: 0.55, GPU: 489.6MiB
+[2024-06-10 01:25:18,744 INFO] Epoch:11, Accuracy: 0.6697; F1: 0.5037; Recall: 0.9935; Precision: 0.5052; ROC AUC: 0.4967, MEMORY: 489.6082, time: 9.2214
+[2024-06-10 01:25:19,307 INFO] ======================================================
+[2024-06-10 01:25:19,307 INFO] Epoch:12, Loss: 0.596, Time: 0.56, GPU: 489.6MiB
+[2024-06-10 01:25:19,307 INFO] Epoch:12, Accuracy: 0.6863; F1: 0.5289; Recall: 0.9935; Precision: 0.5305; ROC AUC: 0.5231, MEMORY: 489.6082, time: 9.7670
+[2024-06-10 01:25:19,900 INFO] ======================================================
+[2024-06-10 01:25:19,900 INFO] Epoch:13, Loss: 0.589, Time: 0.59, GPU: 489.6MiB
+[2024-06-10 01:25:19,900 INFO] Epoch:13, Accuracy: 0.6863; F1: 0.5289; Recall: 0.9935; Precision: 0.5305; ROC AUC: 0.5231, MEMORY: 489.6082, time: 9.8501
+[2024-06-10 01:25:20,466 INFO] ======================================================
+[2024-06-10 01:25:20,466 INFO] Epoch:14, Loss: 0.582, Time: 0.57, GPU: 489.6MiB
+[2024-06-10 01:25:20,466 INFO] Epoch:14, Accuracy: 0.6863; F1: 0.5289; Recall: 0.9935; Precision: 0.5305; ROC AUC: 0.5231, MEMORY: 489.6082, time: 9.2301
+[2024-06-10 01:25:21,045 INFO] ======================================================
+[2024-06-10 01:25:21,045 INFO] Epoch:15, Loss: 0.575, Time: 0.58, GPU: 489.6MiB
+[2024-06-10 01:25:21,045 INFO] Epoch:15, Accuracy: 0.6760; F1: 0.5196; Recall: 0.9749; Precision: 0.5240; ROC AUC: 0.5138, MEMORY: 489.6082, time: 9.3498
+[2024-06-10 01:25:21,639 INFO] ======================================================
+[2024-06-10 01:25:21,639 INFO] Epoch:16, Loss: 0.569, Time: 0.59, GPU: 489.6MiB
+[2024-06-10 01:25:21,639 INFO] Epoch:16, Accuracy: 0.6753; F1: 0.5188; Recall: 0.9733; Precision: 0.5236; ROC AUC: 0.5130, MEMORY: 489.6082, time: 9.0663
+[2024-06-10 01:25:22,202 INFO] ======================================================
+[2024-06-10 01:25:22,202 INFO] Epoch:17, Loss: 0.562, Time: 0.56, GPU: 489.6MiB
+[2024-06-10 01:25:22,202 INFO] Epoch:17, Accuracy: 0.6910; F1: 0.5431; Recall: 0.9723; Precision: 0.5483; ROC AUC: 0.5388, MEMORY: 489.6082, time: 9.1407
+[2024-06-10 01:25:22,749 INFO] ======================================================
+[2024-06-10 01:25:22,749 INFO] Epoch:18, Loss: 0.555, Time: 0.55, GPU: 489.6MiB
+[2024-06-10 01:25:22,749 INFO] Epoch:18, Accuracy: 0.6908; F1: 0.5428; Recall: 0.9719; Precision: 0.5483; ROC AUC: 0.5386, MEMORY: 489.6082, time: 8.2239
+[2024-06-10 01:25:23,312 INFO] ======================================================
+[2024-06-10 01:25:23,312 INFO] Epoch:19, Loss: 0.548, Time: 0.56, GPU: 489.6MiB
+[2024-06-10 01:25:23,312 INFO] Epoch:19, Accuracy: 0.6810; F1: 0.5329; Recall: 0.9529; Precision: 0.5424; ROC AUC: 0.5292, MEMORY: 489.6082, time: 8.9342
+[2024-06-10 01:25:23,906 INFO] ======================================================
+[2024-06-10 01:25:23,906 INFO] Epoch:20, Loss: 0.541, Time: 0.59, GPU: 489.6MiB
+[2024-06-10 01:25:23,906 INFO] Epoch:20, Accuracy: 0.6810; F1: 0.5329; Recall: 0.9529; Precision: 0.5424; ROC AUC: 0.5292, MEMORY: 489.6082, time: 11.0046
+[2024-06-10 01:25:23,906 INFO] >> Total time : 11.62
+[2024-06-10 01:25:23,906 INFO] >> Parameters: lr:0.0010 |Dim:2 |Window:5 |
+[2024-06-10 01:25:35,385 INFO] using model EGCN
+[2024-06-10 01:25:36,402 INFO] ======================================================
+[2024-06-10 01:25:36,402 INFO] Epoch:1, Loss: 0.697, Time: 0.75, GPU: 487.8MiB
+[2024-06-10 01:25:36,402 INFO] Epoch:1, Accuracy: 0.6697; F1: 0.5037; Recall: 0.9935; Precision: 0.5052; ROC AUC: 0.4967, MEMORY: 487.7568, time: 8.3026
+[2024-06-10 01:25:36,511 INFO] ======================================================
+[2024-06-10 01:25:36,511 INFO] Epoch:2, Loss: 1.115, Time: 0.11, GPU: 487.8MiB
+[2024-06-10 01:25:36,511 INFO] Epoch:2, Accuracy: 0.6697; F1: 0.5037; Recall: 0.9935; Precision: 0.5052; ROC AUC: 0.4967, MEMORY: 487.7568, time: 8.3026
+[2024-06-10 01:25:36,605 INFO] ======================================================
+[2024-06-10 01:25:36,605 INFO] Epoch:3, Loss: 0.702, Time: 0.09, GPU: 488.3MiB
+[2024-06-10 01:25:36,605 INFO] Epoch:3, Accuracy: 0.6697; F1: 0.5037; Recall: 0.9935; Precision: 0.5052; ROC AUC: 0.4967, MEMORY: 487.7568, time: 8.3026
+[2024-06-10 01:25:37,201 INFO] ======================================================
+[2024-06-10 01:25:37,201 INFO] Epoch:4, Loss: 0.696, Time: 0.60, GPU: 491.6MiB
+[2024-06-10 01:25:37,201 INFO] Epoch:4, Accuracy: 0.0000; F1: 0.4931; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 491.5533, time: 11.0817
+[2024-06-10 01:25:37,810 INFO] ======================================================
+[2024-06-10 01:25:37,810 INFO] Epoch:5, Loss: 0.693, Time: 0.61, GPU: 491.6MiB
+[2024-06-10 01:25:37,810 INFO] Epoch:5, Accuracy: 0.0000; F1: 0.4931; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 491.5533, time: 9.8682
+[2024-06-10 01:25:37,919 INFO] ======================================================
+[2024-06-10 01:25:37,919 INFO] Epoch:6, Loss: 0.694, Time: 0.11, GPU: 491.6MiB
+[2024-06-10 01:25:37,919 INFO] Epoch:6, Accuracy: 0.0000; F1: 0.4931; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 491.5533, time: 9.8682
+[2024-06-10 01:25:38,029 INFO] ======================================================
+[2024-06-10 01:25:38,029 INFO] Epoch:7, Loss: 0.704, Time: 0.11, GPU: 491.6MiB
+[2024-06-10 01:25:38,029 INFO] Epoch:7, Accuracy: 0.0000; F1: 0.4931; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 491.5533, time: 9.8682
+[2024-06-10 01:25:38,138 INFO] ======================================================
+[2024-06-10 01:25:38,138 INFO] Epoch:8, Loss: 0.710, Time: 0.11, GPU: 491.6MiB
+[2024-06-10 01:25:38,138 INFO] Epoch:8, Accuracy: 0.0000; F1: 0.4931; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 491.5533, time: 9.8682
+[2024-06-10 01:25:38,232 INFO] ======================================================
+[2024-06-10 01:25:38,232 INFO] Epoch:9, Loss: 0.700, Time: 0.09, GPU: 491.6MiB
+[2024-06-10 01:25:38,232 INFO] Epoch:9, Accuracy: 0.0000; F1: 0.4931; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 491.5533, time: 9.8682
+[2024-06-10 01:25:38,831 INFO] ======================================================
+[2024-06-10 01:25:38,831 INFO] Epoch:10, Loss: 0.682, Time: 0.60, GPU: 491.6MiB
+[2024-06-10 01:25:38,831 INFO] Epoch:10, Accuracy: 0.0000; F1: 0.4931; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 491.5533, time: 10.0288
+[2024-06-10 01:25:39,452 INFO] ======================================================
+[2024-06-10 01:25:39,452 INFO] Epoch:11, Loss: 0.672, Time: 0.62, GPU: 492.9MiB
+[2024-06-10 01:25:39,452 INFO] Epoch:11, Accuracy: 0.0000; F1: 0.4931; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 492.9224, time: 9.8680
+[2024-06-10 01:25:40,093 INFO] ======================================================
+[2024-06-10 01:25:40,093 INFO] Epoch:12, Loss: 0.655, Time: 0.64, GPU: 493.5MiB
+[2024-06-10 01:25:40,093 INFO] Epoch:12, Accuracy: 0.0010; F1: 0.4933; Recall: 0.0005; Precision: 0.0526; ROC AUC: 0.5003, MEMORY: 493.4661, time: 10.9678
+[2024-06-10 01:25:40,705 INFO] ======================================================
+[2024-06-10 01:25:40,705 INFO] Epoch:13, Loss: 0.629, Time: 0.61, GPU: 493.5MiB
+[2024-06-10 01:25:40,705 INFO] Epoch:13, Accuracy: 0.1593; F1: 0.5707; Recall: 0.1586; Precision: 0.2105; ROC AUC: 0.5793, MEMORY: 493.4661, time: 11.5155
+[2024-06-10 01:25:41,283 INFO] ======================================================
+[2024-06-10 01:25:41,283 INFO] Epoch:14, Loss: 0.612, Time: 0.58, GPU: 493.5MiB
+[2024-06-10 01:25:41,283 INFO] Epoch:14, Accuracy: 0.4099; F1: 0.6873; Recall: 0.3932; Precision: 0.5263; ROC AUC: 0.6965, MEMORY: 493.4661, time: 10.3369
+[2024-06-10 01:25:41,862 INFO] ======================================================
+[2024-06-10 01:25:41,862 INFO] Epoch:15, Loss: 0.584, Time: 0.58, GPU: 493.5MiB
+[2024-06-10 01:25:41,862 INFO] Epoch:15, Accuracy: 0.6725; F1: 0.8154; Recall: 0.6408; Precision: 0.7895; ROC AUC: 0.8203, MEMORY: 493.4661, time: 8.4535
+[2024-06-10 01:25:42,424 INFO] ======================================================
+[2024-06-10 01:25:42,424 INFO] Epoch:16, Loss: 0.545, Time: 0.56, GPU: 493.5MiB
+[2024-06-10 01:25:42,424 INFO] Epoch:16, Accuracy: 0.8032; F1: 0.8870; Recall: 0.7811; Precision: 0.8415; ROC AUC: 0.8902, MEMORY: 493.4661, time: 7.4016
+[2024-06-10 01:25:43,034 INFO] ======================================================
+[2024-06-10 01:25:43,034 INFO] Epoch:17, Loss: 0.528, Time: 0.61, GPU: 493.5MiB
+[2024-06-10 01:25:43,034 INFO] Epoch:17, Accuracy: 0.9074; F1: 0.9397; Recall: 0.8834; Precision: 0.9468; ROC AUC: 0.9414, MEMORY: 493.4661, time: 7.9320
+[2024-06-10 01:25:43,612 INFO] ======================================================
+[2024-06-10 01:25:43,612 INFO] Epoch:18, Loss: 0.504, Time: 0.58, GPU: 493.5MiB
+[2024-06-10 01:25:43,612 INFO] Epoch:18, Accuracy: 0.9174; F1: 0.9232; Recall: 0.9039; Precision: 0.9722; ROC AUC: 0.9253, MEMORY: 493.4661, time: 9.3166
+[2024-06-10 01:25:44,160 INFO] ======================================================
+[2024-06-10 01:25:44,160 INFO] Epoch:19, Loss: 0.444, Time: 0.55, GPU: 493.5MiB
+[2024-06-10 01:25:44,160 INFO] Epoch:19, Accuracy: 0.8424; F1: 0.7643; Recall: 0.9925; Precision: 0.7678; ROC AUC: 0.7594, MEMORY: 493.4661, time: 9.2365
+[2024-06-10 01:25:44,754 INFO] ======================================================
+[2024-06-10 01:25:44,755 INFO] Epoch:20, Loss: 0.427, Time: 0.60, GPU: 493.5MiB
+[2024-06-10 01:25:44,755 INFO] Epoch:20, Accuracy: 0.9050; F1: 0.9379; Recall: 0.8802; Precision: 0.9468; ROC AUC: 0.9398, MEMORY: 493.4661, time: 8.2498
+[2024-06-10 01:25:44,755 INFO] >> Total time : 9.10
+[2024-06-10 01:25:44,755 INFO] >> Parameters: lr:0.1000 |Dim:2 |Window:5 |
+[2024-06-10 01:26:28,472 INFO] using model EGCN
+[2024-06-10 01:26:29,563 INFO] ======================================================
+[2024-06-10 01:26:29,563 INFO] Epoch:1, Loss: 0.698, Time: 0.81, GPU: 487.8MiB
+[2024-06-10 01:26:29,563 INFO] Epoch:1, Accuracy: 0.0000; F1: 0.4931; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 487.7568, time: 9.5738
+[2024-06-10 01:26:29,703 INFO] ======================================================
+[2024-06-10 01:26:29,703 INFO] Epoch:2, Loss: 0.755, Time: 0.14, GPU: 487.8MiB
+[2024-06-10 01:26:29,703 INFO] Epoch:2, Accuracy: 0.0000; F1: 0.4931; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 487.7568, time: 9.5738
+[2024-06-10 01:26:29,813 INFO] ======================================================
+[2024-06-10 01:26:29,813 INFO] Epoch:3, Loss: 0.698, Time: 0.11, GPU: 488.3MiB
+[2024-06-10 01:26:29,813 INFO] Epoch:3, Accuracy: 0.0000; F1: 0.4931; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 487.7568, time: 9.5738
+[2024-06-10 01:26:30,361 INFO] ======================================================
+[2024-06-10 01:26:30,377 INFO] Epoch:4, Loss: 0.646, Time: 0.56, GPU: 491.6MiB
+[2024-06-10 01:26:30,377 INFO] Epoch:4, Accuracy: 0.7020; F1: 0.5532; Recall: 0.9925; Precision: 0.5550; ROC AUC: 0.5489, MEMORY: 491.5533, time: 9.1833
+[2024-06-10 01:26:30,925 INFO] ======================================================
+[2024-06-10 01:26:30,925 INFO] Epoch:5, Loss: 0.577, Time: 0.55, GPU: 491.6MiB
+[2024-06-10 01:26:30,925 INFO] Epoch:5, Accuracy: 0.7753; F1: 0.7519; Recall: 0.8702; Precision: 0.7658; ROC AUC: 0.7512, MEMORY: 491.5533, time: 10.0242
+[2024-06-10 01:26:31,112 INFO] ======================================================
+[2024-06-10 01:26:31,112 INFO] Epoch:6, Loss: 0.614, Time: 0.19, GPU: 491.6MiB
+[2024-06-10 01:26:31,112 INFO] Epoch:6, Accuracy: 0.7753; F1: 0.7519; Recall: 0.8702; Precision: 0.7658; ROC AUC: 0.7512, MEMORY: 491.5533, time: 10.0242
+[2024-06-10 01:26:31,206 INFO] ======================================================
+[2024-06-10 01:26:31,206 INFO] Epoch:7, Loss: 0.745, Time: 0.09, GPU: 491.6MiB
+[2024-06-10 01:26:31,206 INFO] Epoch:7, Accuracy: 0.7753; F1: 0.7519; Recall: 0.8702; Precision: 0.7658; ROC AUC: 0.7512, MEMORY: 491.5533, time: 10.0242
+[2024-06-10 01:26:31,315 INFO] ======================================================
+[2024-06-10 01:26:31,315 INFO] Epoch:8, Loss: 0.767, Time: 0.11, GPU: 491.6MiB
+[2024-06-10 01:26:31,315 INFO] Epoch:8, Accuracy: 0.7753; F1: 0.7519; Recall: 0.8702; Precision: 0.7658; ROC AUC: 0.7512, MEMORY: 491.5533, time: 10.0242
+[2024-06-10 01:26:31,894 INFO] ======================================================
+[2024-06-10 01:26:31,894 INFO] Epoch:9, Loss: 0.554, Time: 0.58, GPU: 491.6MiB
+[2024-06-10 01:26:31,894 INFO] Epoch:9, Accuracy: 0.5867; F1: 0.7746; Recall: 0.5616; Precision: 0.6842; ROC AUC: 0.7807, MEMORY: 491.5533, time: 8.4477
+[2024-06-10 01:26:32,473 INFO] ======================================================
+[2024-06-10 01:26:32,473 INFO] Epoch:10, Loss: 0.542, Time: 0.58, GPU: 491.6MiB
+[2024-06-10 01:26:32,473 INFO] Epoch:10, Accuracy: 0.6673; F1: 0.8217; Recall: 0.6542; Precision: 0.7368; ROC AUC: 0.8270, MEMORY: 491.5533, time: 9.3125
+[2024-06-10 01:26:33,035 INFO] ======================================================
+[2024-06-10 01:26:33,035 INFO] Epoch:11, Loss: 0.510, Time: 0.56, GPU: 491.6MiB
+[2024-06-10 01:26:33,035 INFO] Epoch:11, Accuracy: 0.8021; F1: 0.7171; Recall: 0.9559; Precision: 0.7267; ROC AUC: 0.7147, MEMORY: 491.5533, time: 9.0997
+[2024-06-10 01:26:33,629 INFO] ======================================================
+[2024-06-10 01:26:33,629 INFO] Epoch:12, Loss: 0.483, Time: 0.59, GPU: 491.6MiB
+[2024-06-10 01:26:33,629 INFO] Epoch:12, Accuracy: 0.8209; F1: 0.7447; Recall: 0.9574; Precision: 0.7535; ROC AUC: 0.7418, MEMORY: 491.5533, time: 9.1108
+[2024-06-10 01:26:34,177 INFO] ======================================================
+[2024-06-10 01:26:34,177 INFO] Epoch:13, Loss: 0.474, Time: 0.55, GPU: 491.6MiB
+[2024-06-10 01:26:34,177 INFO] Epoch:13, Accuracy: 0.9068; F1: 0.9394; Recall: 0.8829; Precision: 0.9468; ROC AUC: 0.9411, MEMORY: 491.5533, time: 9.0531
+[2024-06-10 01:26:34,786 INFO] ======================================================
+[2024-06-10 01:26:34,786 INFO] Epoch:14, Loss: 0.433, Time: 0.61, GPU: 491.6MiB
+[2024-06-10 01:26:34,786 INFO] Epoch:14, Accuracy: 0.9068; F1: 0.9394; Recall: 0.8829; Precision: 0.9468; ROC AUC: 0.9411, MEMORY: 491.5533, time: 13.1951
+[2024-06-10 01:26:35,336 INFO] ======================================================
+[2024-06-10 01:26:35,336 INFO] Epoch:15, Loss: 0.357, Time: 0.55, GPU: 491.6MiB
+[2024-06-10 01:26:35,336 INFO] Epoch:15, Accuracy: 0.9288; F1: 0.9467; Recall: 0.8972; Precision: 0.9990; ROC AUC: 0.9483, MEMORY: 491.5533, time: 8.5152
+[2024-06-10 01:26:35,915 INFO] ======================================================
+[2024-06-10 01:26:35,915 INFO] Epoch:16, Loss: 0.332, Time: 0.58, GPU: 491.6MiB
+[2024-06-10 01:26:35,915 INFO] Epoch:16, Accuracy: 0.9441; F1: 0.9577; Recall: 0.9180; Precision: 0.9991; ROC AUC: 0.9587, MEMORY: 491.5533, time: 7.1904
+[2024-06-10 01:26:36,055 INFO] ======================================================
+[2024-06-10 01:26:36,055 INFO] Epoch:17, Loss: 0.350, Time: 0.14, GPU: 491.6MiB
+[2024-06-10 01:26:36,055 INFO] Epoch:17, Accuracy: 0.9441; F1: 0.9577; Recall: 0.9180; Precision: 0.9991; ROC AUC: 0.9587, MEMORY: 491.5533, time: 7.1904
+[2024-06-10 01:26:36,602 INFO] ======================================================
+[2024-06-10 01:26:36,602 INFO] Epoch:18, Loss: 0.308, Time: 0.55, GPU: 491.6MiB
+[2024-06-10 01:26:36,602 INFO] Epoch:18, Accuracy: 0.9076; F1: 0.9399; Recall: 0.8838; Precision: 0.9468; ROC AUC: 0.9416, MEMORY: 491.5533, time: 10.6904
+[2024-06-10 01:26:36,743 INFO] ======================================================
+[2024-06-10 01:26:36,743 INFO] Epoch:19, Loss: 0.341, Time: 0.14, GPU: 492.5MiB
+[2024-06-10 01:26:36,743 INFO] Epoch:19, Accuracy: 0.9076; F1: 0.9399; Recall: 0.8838; Precision: 0.9468; ROC AUC: 0.9416, MEMORY: 491.5533, time: 10.6904
+[2024-06-10 01:26:37,291 INFO] ======================================================
+[2024-06-10 01:26:37,291 INFO] Epoch:20, Loss: 0.244, Time: 0.55, GPU: 492.5MiB
+[2024-06-10 01:26:37,291 INFO] Epoch:20, Accuracy: 0.9077; F1: 0.9400; Recall: 0.8841; Precision: 0.9468; ROC AUC: 0.9417, MEMORY: 492.4882, time: 10.7183
+[2024-06-10 01:26:37,291 INFO] >> Total time : 8.54
+[2024-06-10 01:26:37,291 INFO] >> Parameters: lr:0.2000 |Dim:2 |Window:5 |
+[2024-06-10 01:26:55,345 INFO] using model EGCN
+[2024-06-10 01:26:56,377 INFO] ======================================================
+[2024-06-10 01:26:56,377 INFO] Epoch:1, Loss: 0.712, Time: 0.70, GPU: 487.8MiB
+[2024-06-10 01:26:56,377 INFO] Epoch:1, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 487.7568, time: 10.0645
+[2024-06-10 01:26:56,486 INFO] ======================================================
+[2024-06-10 01:26:56,486 INFO] Epoch:2, Loss: 1.363, Time: 0.11, GPU: 487.8MiB
+[2024-06-10 01:26:56,486 INFO] Epoch:2, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 487.7568, time: 10.0645
+[2024-06-10 01:26:56,596 INFO] ======================================================
+[2024-06-10 01:26:56,596 INFO] Epoch:3, Loss: 0.803, Time: 0.11, GPU: 488.3MiB
+[2024-06-10 01:26:56,596 INFO] Epoch:3, Accuracy: 0.6727; F1: 0.5069; Recall: 1.0000; Precision: 0.5069; ROC AUC: 0.5000, MEMORY: 487.7568, time: 10.0645
+[2024-06-10 01:26:57,206 INFO] ======================================================
+[2024-06-10 01:26:57,206 INFO] Epoch:4, Loss: 0.691, Time: 0.61, GPU: 491.6MiB
+[2024-06-10 01:26:57,206 INFO] Epoch:4, Accuracy: 0.0000; F1: 0.4931; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 491.5533, time: 9.5127
+[2024-06-10 01:26:57,346 INFO] ======================================================
+[2024-06-10 01:26:57,346 INFO] Epoch:5, Loss: 0.732, Time: 0.14, GPU: 491.6MiB
+[2024-06-10 01:26:57,346 INFO] Epoch:5, Accuracy: 0.0000; F1: 0.4931; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 491.5533, time: 9.5127
+[2024-06-10 01:26:57,456 INFO] ======================================================
+[2024-06-10 01:26:57,456 INFO] Epoch:6, Loss: 0.737, Time: 0.11, GPU: 491.6MiB
+[2024-06-10 01:26:57,456 INFO] Epoch:6, Accuracy: 0.0000; F1: 0.4931; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 491.5533, time: 9.5127
+[2024-06-10 01:26:57,550 INFO] ======================================================
+[2024-06-10 01:26:57,550 INFO] Epoch:7, Loss: 0.736, Time: 0.09, GPU: 491.6MiB
+[2024-06-10 01:26:57,550 INFO] Epoch:7, Accuracy: 0.0000; F1: 0.4931; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 491.5533, time: 9.5127
+[2024-06-10 01:26:57,643 INFO] ======================================================
+[2024-06-10 01:26:57,643 INFO] Epoch:8, Loss: 0.700, Time: 0.09, GPU: 491.6MiB
+[2024-06-10 01:26:57,643 INFO] Epoch:8, Accuracy: 0.0000; F1: 0.4931; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 491.5533, time: 9.5127
+[2024-06-10 01:26:58,206 INFO] ======================================================
+[2024-06-10 01:26:58,206 INFO] Epoch:9, Loss: 0.688, Time: 0.56, GPU: 491.6MiB
+[2024-06-10 01:26:58,206 INFO] Epoch:9, Accuracy: 0.5625; F1: 0.4478; Recall: 0.7691; Precision: 0.4839; ROC AUC: 0.4375, MEMORY: 491.5533, time: 9.4149
+[2024-06-10 01:26:58,800 INFO] ======================================================
+[2024-06-10 01:26:58,800 INFO] Epoch:10, Loss: 0.678, Time: 0.59, GPU: 492.9MiB
+[2024-06-10 01:26:58,800 INFO] Epoch:10, Accuracy: 0.6728; F1: 0.5073; Recall: 1.0000; Precision: 0.5071; ROC AUC: 0.5003, MEMORY: 492.9224, time: 11.4654
+[2024-06-10 01:26:58,924 INFO] ======================================================
+[2024-06-10 01:26:58,924 INFO] Epoch:11, Loss: 0.765, Time: 0.12, GPU: 493.5MiB
+[2024-06-10 01:26:58,924 INFO] Epoch:11, Accuracy: 0.6728; F1: 0.5073; Recall: 1.0000; Precision: 0.5071; ROC AUC: 0.5003, MEMORY: 492.9224, time: 11.4654
+[2024-06-10 01:26:59,034 INFO] ======================================================
+[2024-06-10 01:26:59,034 INFO] Epoch:12, Loss: 0.745, Time: 0.11, GPU: 493.5MiB
+[2024-06-10 01:26:59,034 INFO] Epoch:12, Accuracy: 0.6728; F1: 0.5073; Recall: 1.0000; Precision: 0.5071; ROC AUC: 0.5003, MEMORY: 492.9224, time: 11.4654
+[2024-06-10 01:26:59,128 INFO] ======================================================
+[2024-06-10 01:26:59,128 INFO] Epoch:13, Loss: 0.783, Time: 0.09, GPU: 493.5MiB
+[2024-06-10 01:26:59,128 INFO] Epoch:13, Accuracy: 0.6728; F1: 0.5073; Recall: 1.0000; Precision: 0.5071; ROC AUC: 0.5003, MEMORY: 492.9224, time: 11.4654
+[2024-06-10 01:26:59,222 INFO] ======================================================
+[2024-06-10 01:26:59,222 INFO] Epoch:14, Loss: 0.741, Time: 0.09, GPU: 493.5MiB
+[2024-06-10 01:26:59,222 INFO] Epoch:14, Accuracy: 0.6728; F1: 0.5073; Recall: 1.0000; Precision: 0.5071; ROC AUC: 0.5003, MEMORY: 492.9224, time: 11.4654
+[2024-06-10 01:26:59,784 INFO] ======================================================
+[2024-06-10 01:26:59,784 INFO] Epoch:15, Loss: 0.668, Time: 0.56, GPU: 493.5MiB
+[2024-06-10 01:26:59,784 INFO] Epoch:15, Accuracy: 0.0582; F1: 0.4609; Recall: 0.0356; Precision: 0.3649; ROC AUC: 0.4649, MEMORY: 493.4661, time: 9.8684
+[2024-06-10 01:26:59,910 INFO] ======================================================
+[2024-06-10 01:26:59,910 INFO] Epoch:16, Loss: 0.682, Time: 0.13, GPU: 493.5MiB
+[2024-06-10 01:26:59,910 INFO] Epoch:16, Accuracy: 0.0582; F1: 0.4609; Recall: 0.0356; Precision: 0.3649; ROC AUC: 0.4649, MEMORY: 493.4661, time: 9.8684
+[2024-06-10 01:27:00,003 INFO] ======================================================
+[2024-06-10 01:27:00,003 INFO] Epoch:17, Loss: 0.685, Time: 0.09, GPU: 493.5MiB
+[2024-06-10 01:27:00,003 INFO] Epoch:17, Accuracy: 0.0582; F1: 0.4609; Recall: 0.0356; Precision: 0.3649; ROC AUC: 0.4649, MEMORY: 493.4661, time: 9.8684
+[2024-06-10 01:27:00,113 INFO] ======================================================
+[2024-06-10 01:27:00,113 INFO] Epoch:18, Loss: 0.689, Time: 0.11, GPU: 493.5MiB
+[2024-06-10 01:27:00,113 INFO] Epoch:18, Accuracy: 0.0582; F1: 0.4609; Recall: 0.0356; Precision: 0.3649; ROC AUC: 0.4649, MEMORY: 493.4661, time: 9.8684
+[2024-06-10 01:27:00,206 INFO] ======================================================
+[2024-06-10 01:27:00,206 INFO] Epoch:19, Loss: 0.683, Time: 0.09, GPU: 493.5MiB
+[2024-06-10 01:27:00,206 INFO] Epoch:19, Accuracy: 0.0582; F1: 0.4609; Recall: 0.0356; Precision: 0.3649; ROC AUC: 0.4649, MEMORY: 493.4661, time: 9.8684
+[2024-06-10 01:27:00,304 INFO] ======================================================
+[2024-06-10 01:27:00,304 INFO] Epoch:20, Loss: 0.709, Time: 0.10, GPU: 493.5MiB
+[2024-06-10 01:27:00,304 INFO] Epoch:20, Accuracy: 0.0582; F1: 0.4609; Recall: 0.0356; Precision: 0.3649; ROC AUC: 0.4649, MEMORY: 493.4661, time: 9.8684
+[2024-06-10 01:27:00,304 INFO] >> Total time : 4.63
+[2024-06-10 01:27:00,304 INFO] >> Parameters: lr:0.3000 |Dim:2 |Window:5 |
+[2024-06-11 16:41:47,544 INFO] using model EGCN
+[2024-06-11 16:42:08,848 INFO] using model EGCN
+[2024-06-11 16:42:23,160 INFO] using model EGCN
+[2024-06-11 16:42:33,157 INFO] ======================================================
+[2024-06-11 16:42:33,157 INFO] Epoch:1, Loss: 0.752, Time: 8.34, GPU: 1597.7MiB
+[2024-06-11 16:42:33,157 INFO] Epoch:1, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1597.6909, time: 9.5524
+[2024-06-11 16:42:39,758 INFO] ======================================================
+[2024-06-11 16:42:39,758 INFO] Epoch:2, Loss: 0.600, Time: 6.59, GPU: 1599.8MiB
+[2024-06-11 16:42:39,758 INFO] Epoch:2, Accuracy: 0.7126; F1: 0.5867; Recall: 0.9998; Precision: 0.5574; ROC AUC: 0.5864, MEMORY: 1599.8264, time: 8.8876
+[2024-06-11 16:42:42,308 INFO] ======================================================
+[2024-06-11 16:42:42,308 INFO] Epoch:3, Loss: 0.718, Time: 2.55, GPU: 1599.8MiB
+[2024-06-11 16:42:42,308 INFO] Epoch:3, Accuracy: 0.7126; F1: 0.5867; Recall: 0.9998; Precision: 0.5574; ROC AUC: 0.5864, MEMORY: 1599.8264, time: 8.8876
+[2024-06-11 16:42:45,383 INFO] ======================================================
+[2024-06-11 16:42:45,383 INFO] Epoch:4, Loss: 0.605, Time: 3.07, GPU: 1602.3MiB
+[2024-06-11 16:42:45,383 INFO] Epoch:4, Accuracy: 0.7126; F1: 0.5867; Recall: 0.9998; Precision: 0.5574; ROC AUC: 0.5864, MEMORY: 1599.8264, time: 8.8876
+[2024-06-11 16:42:53,995 INFO] ======================================================
+[2024-06-11 16:42:53,995 INFO] Epoch:5, Loss: 0.533, Time: 8.61, GPU: 1602.3MiB
+[2024-06-11 16:42:53,995 INFO] Epoch:5, Accuracy: 0.5552; F1: 0.6635; Recall: 0.4209; Precision: 0.8550; ROC AUC: 0.6638, MEMORY: 1602.2769, time: 9.4547
+[2024-06-11 16:42:57,644 INFO] ======================================================
+[2024-06-11 16:42:57,644 INFO] Epoch:6, Loss: 0.541, Time: 3.65, GPU: 1602.3MiB
+[2024-06-11 16:42:57,644 INFO] Epoch:6, Accuracy: 0.5552; F1: 0.6635; Recall: 0.4209; Precision: 0.8550; ROC AUC: 0.6638, MEMORY: 1602.2769, time: 9.4547
+[2024-06-11 16:43:32,244 INFO] using model EGCN
+[2024-06-11 16:43:39,979 INFO] ======================================================
+[2024-06-11 16:43:39,979 INFO] Epoch:1, Loss: 0.769, Time: 6.06, GPU: 1597.7MiB
+[2024-06-11 16:43:39,979 INFO] Epoch:1, Accuracy: 0.5947; F1: 0.6384; Recall: 0.5173; Precision: 0.7257; ROC AUC: 0.6386, MEMORY: 1597.6909, time: 8.0547
+[2024-06-11 16:43:41,714 INFO] ======================================================
+[2024-06-11 16:43:41,714 INFO] Epoch:2, Loss: 1.164, Time: 1.74, GPU: 1599.8MiB
+[2024-06-11 16:43:41,714 INFO] Epoch:2, Accuracy: 0.5947; F1: 0.6384; Recall: 0.5173; Precision: 0.7257; ROC AUC: 0.6386, MEMORY: 1597.6909, time: 8.0547
+[2024-06-11 16:43:47,826 INFO] ======================================================
+[2024-06-11 16:43:47,826 INFO] Epoch:3, Loss: 0.643, Time: 6.11, GPU: 1602.3MiB
+[2024-06-11 16:43:47,826 INFO] Epoch:3, Accuracy: 0.7601; F1: 0.7619; Recall: 0.7011; Precision: 0.8541; ROC AUC: 0.7618, MEMORY: 1602.2769, time: 8.8536
+[2024-06-11 16:43:53,975 INFO] ======================================================
+[2024-06-11 16:43:53,975 INFO] Epoch:4, Loss: 0.556, Time: 6.15, GPU: 1602.3MiB
+[2024-06-11 16:43:53,975 INFO] Epoch:4, Accuracy: 0.7482; F1: 0.6409; Recall: 0.9314; Precision: 0.6581; ROC AUC: 0.6410, MEMORY: 1602.2769, time: 9.3753
+[2024-06-11 16:43:55,783 INFO] ======================================================
+[2024-06-11 16:43:55,783 INFO] Epoch:5, Loss: 0.573, Time: 1.81, GPU: 1602.3MiB
+[2024-06-11 16:43:55,783 INFO] Epoch:5, Accuracy: 0.7482; F1: 0.6409; Recall: 0.9314; Precision: 0.6581; ROC AUC: 0.6410, MEMORY: 1602.2769, time: 9.3753
+[2024-06-11 16:43:57,456 INFO] ======================================================
+[2024-06-11 16:43:57,456 INFO] Epoch:6, Loss: 0.562, Time: 1.67, GPU: 1602.3MiB
+[2024-06-11 16:43:57,456 INFO] Epoch:6, Accuracy: 0.7482; F1: 0.6409; Recall: 0.9314; Precision: 0.6581; ROC AUC: 0.6410, MEMORY: 1602.2769, time: 9.3753
+[2024-06-11 16:44:03,552 INFO] ======================================================
+[2024-06-11 16:44:03,552 INFO] Epoch:7, Loss: 0.536, Time: 6.10, GPU: 1602.3MiB
+[2024-06-11 16:44:03,552 INFO] Epoch:7, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1602.2769, time: 8.9007
+[2024-06-11 16:44:09,697 INFO] ======================================================
+[2024-06-11 16:44:09,697 INFO] Epoch:8, Loss: 0.498, Time: 6.14, GPU: 1602.3MiB
+[2024-06-11 16:44:09,697 INFO] Epoch:8, Accuracy: 0.6877; F1: 0.5434; Recall: 1.0000; Precision: 0.5248; ROC AUC: 0.5431, MEMORY: 1602.2769, time: 8.4576
+[2024-06-11 16:44:15,932 INFO] ======================================================
+[2024-06-11 16:44:15,932 INFO] Epoch:9, Loss: 0.461, Time: 6.24, GPU: 1602.3MiB
+[2024-06-11 16:44:15,932 INFO] Epoch:9, Accuracy: 0.6877; F1: 0.5434; Recall: 1.0000; Precision: 0.5248; ROC AUC: 0.5431, MEMORY: 1602.2769, time: 8.7597
+[2024-06-11 16:44:22,027 INFO] ======================================================
+[2024-06-11 16:44:22,027 INFO] Epoch:10, Loss: 0.397, Time: 6.10, GPU: 1602.3MiB
+[2024-06-11 16:44:22,027 INFO] Epoch:10, Accuracy: 0.6877; F1: 0.5434; Recall: 1.0000; Precision: 0.5248; ROC AUC: 0.5430, MEMORY: 1602.2769, time: 8.7922
+[2024-06-11 16:44:28,216 INFO] ======================================================
+[2024-06-11 16:44:28,216 INFO] Epoch:11, Loss: 0.351, Time: 6.19, GPU: 1602.3MiB
+[2024-06-11 16:44:28,216 INFO] Epoch:11, Accuracy: 0.7434; F1: 0.6313; Recall: 0.9999; Precision: 0.6028; ROC AUC: 0.6312, MEMORY: 1602.2769, time: 9.7550
+[2024-06-11 16:44:34,359 INFO] ======================================================
+[2024-06-11 16:44:34,359 INFO] Epoch:12, Loss: 0.349, Time: 6.14, GPU: 1602.3MiB
+[2024-06-11 16:44:34,359 INFO] Epoch:12, Accuracy: 0.7346; F1: 0.6222; Recall: 0.9811; Precision: 0.5990; ROC AUC: 0.6222, MEMORY: 1602.2769, time: 8.9592
+[2024-06-11 16:44:36,156 INFO] ======================================================
+[2024-06-11 16:44:36,156 INFO] Epoch:13, Loss: 0.542, Time: 1.80, GPU: 1602.3MiB
+[2024-06-11 16:44:36,156 INFO] Epoch:13, Accuracy: 0.7346; F1: 0.6222; Recall: 0.9811; Precision: 0.5990; ROC AUC: 0.6222, MEMORY: 1602.2769, time: 8.9592
+[2024-06-11 16:44:37,844 INFO] ======================================================
+[2024-06-11 16:44:37,844 INFO] Epoch:14, Loss: 0.389, Time: 1.67, GPU: 1602.3MiB
+[2024-06-11 16:44:37,844 INFO] Epoch:14, Accuracy: 0.7346; F1: 0.6222; Recall: 0.9811; Precision: 0.5990; ROC AUC: 0.6222, MEMORY: 1602.2769, time: 8.9592
+[2024-06-11 16:44:39,562 INFO] ======================================================
+[2024-06-11 16:44:39,562 INFO] Epoch:15, Loss: 0.379, Time: 1.72, GPU: 1602.3MiB
+[2024-06-11 16:44:39,562 INFO] Epoch:15, Accuracy: 0.7346; F1: 0.6222; Recall: 0.9811; Precision: 0.5990; ROC AUC: 0.6222, MEMORY: 1602.2769, time: 8.9592
+[2024-06-11 16:44:41,265 INFO] ======================================================
+[2024-06-11 16:44:41,265 INFO] Epoch:16, Loss: 0.409, Time: 1.70, GPU: 1602.3MiB
+[2024-06-11 16:44:41,265 INFO] Epoch:16, Accuracy: 0.7346; F1: 0.6222; Recall: 0.9811; Precision: 0.5990; ROC AUC: 0.6222, MEMORY: 1602.2769, time: 8.9592
+[2024-06-11 16:44:42,969 INFO] ======================================================
+[2024-06-11 16:44:42,969 INFO] Epoch:17, Loss: 0.520, Time: 1.70, GPU: 1602.3MiB
+[2024-06-11 16:44:42,969 INFO] Epoch:17, Accuracy: 0.7346; F1: 0.6222; Recall: 0.9811; Precision: 0.5990; ROC AUC: 0.6222, MEMORY: 1602.2769, time: 8.9592
+[2024-06-11 16:44:44,688 INFO] ======================================================
+[2024-06-11 16:44:44,688 INFO] Epoch:18, Loss: 0.612, Time: 1.72, GPU: 1602.3MiB
+[2024-06-11 16:44:44,688 INFO] Epoch:18, Accuracy: 0.7346; F1: 0.6222; Recall: 0.9811; Precision: 0.5990; ROC AUC: 0.6222, MEMORY: 1602.2769, time: 8.9592
+[2024-06-11 16:44:46,408 INFO] ======================================================
+[2024-06-11 16:44:46,408 INFO] Epoch:19, Loss: 0.616, Time: 1.72, GPU: 1602.3MiB
+[2024-06-11 16:44:46,408 INFO] Epoch:19, Accuracy: 0.7346; F1: 0.6222; Recall: 0.9811; Precision: 0.5990; ROC AUC: 0.6222, MEMORY: 1602.2769, time: 8.9592
+[2024-06-11 16:44:48,111 INFO] ======================================================
+[2024-06-11 16:44:48,126 INFO] Epoch:20, Loss: 0.852, Time: 1.72, GPU: 1602.3MiB
+[2024-06-11 16:44:48,126 INFO] Epoch:20, Accuracy: 0.7346; F1: 0.6222; Recall: 0.9811; Precision: 0.5990; ROC AUC: 0.6222, MEMORY: 1602.2769, time: 8.9592
+[2024-06-11 16:44:48,126 INFO] >> Total time : 74.21
+[2024-06-11 16:44:48,126 INFO] >> Parameters: lr:0.1000 |Dim:2 |Window:5 |
+[2024-06-11 16:46:15,039 INFO] using model EGCN
+[2024-06-11 16:46:24,627 INFO] ======================================================
+[2024-06-11 16:46:24,627 INFO] Epoch:1, Loss: 0.702, Time: 7.90, GPU: 1602.6MiB
+[2024-06-11 16:46:24,627 INFO] Epoch:1, Accuracy: 0.0017; F1: 0.5000; Recall: 0.0009; Precision: 0.1164; ROC AUC: 0.5004, MEMORY: 1602.5692, time: 11.2295
+[2024-06-11 16:46:28,144 INFO] ======================================================
+[2024-06-11 16:46:28,144 INFO] Epoch:2, Loss: 0.925, Time: 3.52, GPU: 1604.7MiB
+[2024-06-11 16:46:28,144 INFO] Epoch:2, Accuracy: 0.0017; F1: 0.5000; Recall: 0.0009; Precision: 0.1164; ROC AUC: 0.5004, MEMORY: 1602.5692, time: 11.2295
+[2024-06-11 16:46:32,317 INFO] ======================================================
+[2024-06-11 16:46:32,317 INFO] Epoch:3, Loss: 0.724, Time: 4.17, GPU: 1607.2MiB
+[2024-06-11 16:46:32,317 INFO] Epoch:3, Accuracy: 0.0017; F1: 0.5000; Recall: 0.0009; Precision: 0.1164; ROC AUC: 0.5004, MEMORY: 1602.5692, time: 11.2295
+[2024-06-11 16:46:36,505 INFO] ======================================================
+[2024-06-11 16:46:36,505 INFO] Epoch:4, Loss: 0.709, Time: 4.19, GPU: 1607.2MiB
+[2024-06-11 16:46:36,505 INFO] Epoch:4, Accuracy: 0.0017; F1: 0.5000; Recall: 0.0009; Precision: 0.1164; ROC AUC: 0.5004, MEMORY: 1602.5692, time: 11.2295
+[2024-06-11 16:46:40,931 INFO] ======================================================
+[2024-06-11 16:46:40,932 INFO] Epoch:5, Loss: 0.730, Time: 4.43, GPU: 1607.2MiB
+[2024-06-11 16:46:40,932 INFO] Epoch:5, Accuracy: 0.0017; F1: 0.5000; Recall: 0.0009; Precision: 0.1164; ROC AUC: 0.5004, MEMORY: 1602.5692, time: 11.2295
+[2024-06-11 16:46:45,208 INFO] ======================================================
+[2024-06-11 16:46:45,208 INFO] Epoch:6, Loss: 0.729, Time: 4.28, GPU: 1607.2MiB
+[2024-06-11 16:46:45,208 INFO] Epoch:6, Accuracy: 0.0017; F1: 0.5000; Recall: 0.0009; Precision: 0.1164; ROC AUC: 0.5004, MEMORY: 1602.5692, time: 11.2295
+[2024-06-11 16:46:48,724 INFO] ======================================================
+[2024-06-11 16:46:48,724 INFO] Epoch:7, Loss: 0.720, Time: 3.52, GPU: 1607.2MiB
+[2024-06-11 16:46:48,724 INFO] Epoch:7, Accuracy: 0.0017; F1: 0.5000; Recall: 0.0009; Precision: 0.1164; ROC AUC: 0.5004, MEMORY: 1602.5692, time: 11.2295
+[2024-06-11 16:46:52,442 INFO] ======================================================
+[2024-06-11 16:46:52,442 INFO] Epoch:8, Loss: 0.710, Time: 3.72, GPU: 1607.2MiB
+[2024-06-11 16:46:52,442 INFO] Epoch:8, Accuracy: 0.0017; F1: 0.5000; Recall: 0.0009; Precision: 0.1164; ROC AUC: 0.5004, MEMORY: 1602.5692, time: 11.2295
+[2024-06-11 16:46:56,630 INFO] ======================================================
+[2024-06-11 16:46:56,630 INFO] Epoch:9, Loss: 0.703, Time: 4.19, GPU: 1607.2MiB
+[2024-06-11 16:46:56,630 INFO] Epoch:9, Accuracy: 0.0017; F1: 0.5000; Recall: 0.0009; Precision: 0.1164; ROC AUC: 0.5004, MEMORY: 1602.5692, time: 11.2295
+[2024-06-11 16:47:05,260 INFO] ======================================================
+[2024-06-11 16:47:05,260 INFO] Epoch:10, Loss: 0.692, Time: 8.63, GPU: 1607.2MiB
+[2024-06-11 16:47:05,260 INFO] Epoch:10, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1607.1634, time: 9.6573
+[2024-06-11 16:47:08,370 INFO] ======================================================
+[2024-06-11 16:47:08,370 INFO] Epoch:11, Loss: 0.694, Time: 3.11, GPU: 1607.2MiB
+[2024-06-11 16:47:08,370 INFO] Epoch:11, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1607.1634, time: 9.6573
+[2024-06-11 16:47:13,139 INFO] ======================================================
+[2024-06-11 16:47:13,139 INFO] Epoch:12, Loss: 0.699, Time: 4.77, GPU: 1607.2MiB
+[2024-06-11 16:47:13,139 INFO] Epoch:12, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1607.1634, time: 9.6573
+[2024-06-11 16:47:18,250 INFO] ======================================================
+[2024-06-11 16:47:18,250 INFO] Epoch:13, Loss: 0.702, Time: 5.11, GPU: 1607.2MiB
+[2024-06-11 16:47:18,250 INFO] Epoch:13, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1607.1634, time: 9.6573
+[2024-06-11 16:47:22,815 INFO] ======================================================
+[2024-06-11 16:47:22,815 INFO] Epoch:14, Loss: 0.701, Time: 4.56, GPU: 1607.2MiB
+[2024-06-11 16:47:22,815 INFO] Epoch:14, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1607.1634, time: 9.6573
+[2024-06-11 16:47:26,957 INFO] ======================================================
+[2024-06-11 16:47:26,957 INFO] Epoch:15, Loss: 0.697, Time: 4.14, GPU: 1607.2MiB
+[2024-06-11 16:47:26,957 INFO] Epoch:15, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1607.1634, time: 9.6573
+[2024-06-11 16:47:31,085 INFO] ======================================================
+[2024-06-11 16:47:31,085 INFO] Epoch:16, Loss: 0.692, Time: 4.13, GPU: 1607.2MiB
+[2024-06-11 16:47:31,085 INFO] Epoch:16, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1607.1634, time: 9.6573
+[2024-06-11 16:47:38,368 INFO] ======================================================
+[2024-06-11 16:47:38,368 INFO] Epoch:17, Loss: 0.688, Time: 7.28, GPU: 1607.2MiB
+[2024-06-11 16:47:38,368 INFO] Epoch:17, Accuracy: 0.7946; F1: 0.7874; Recall: 0.7604; Precision: 0.8544; ROC AUC: 0.7872, MEMORY: 1607.1634, time: 10.9909
+[2024-06-11 16:47:45,655 INFO] ======================================================
+[2024-06-11 16:47:45,655 INFO] Epoch:18, Loss: 0.684, Time: 7.29, GPU: 1607.2MiB
+[2024-06-11 16:47:45,655 INFO] Epoch:18, Accuracy: 0.7711; F1: 0.7855; Recall: 0.6825; Precision: 0.9093; ROC AUC: 0.7855, MEMORY: 1607.1634, time: 10.2461
+[2024-06-11 16:47:52,770 INFO] ======================================================
+[2024-06-11 16:47:52,770 INFO] Epoch:19, Loss: 0.679, Time: 7.11, GPU: 1607.2MiB
+[2024-06-11 16:47:52,770 INFO] Epoch:19, Accuracy: 0.7388; F1: 0.7887; Recall: 0.5993; Precision: 0.9758; ROC AUC: 0.7890, MEMORY: 1607.1634, time: 9.2459
+[2024-06-11 16:48:00,194 INFO] ======================================================
+[2024-06-11 16:48:00,194 INFO] Epoch:20, Loss: 0.674, Time: 7.42, GPU: 1607.2MiB
+[2024-06-11 16:48:00,194 INFO] Epoch:20, Accuracy: 0.4592; F1: 0.6481; Recall: 0.3163; Precision: 0.9662; ROC AUC: 0.6484, MEMORY: 1607.1634, time: 11.1538
+[2024-06-11 16:48:00,194 INFO] >> Total time : 103.47
+[2024-06-11 16:48:00,194 INFO] >> Parameters: lr:0.1000 |Dim:2 |Window:5 |
+[2024-06-11 16:51:23,654 INFO] using model EGCN
+[2024-06-11 16:51:31,905 INFO] ======================================================
+[2024-06-11 16:51:31,905 INFO] Epoch:1, Loss: 0.688, Time: 6.58, GPU: 1597.7MiB
+[2024-06-11 16:51:31,906 INFO] Epoch:1, Accuracy: 0.0018; F1: 0.5000; Recall: 0.0009; Precision: 0.0818; ROC AUC: 0.5005, MEMORY: 1597.6909, time: 8.7434
+[2024-06-11 16:51:38,371 INFO] ======================================================
+[2024-06-11 16:51:38,371 INFO] Epoch:2, Loss: 0.615, Time: 6.47, GPU: 1599.8MiB
+[2024-06-11 16:51:38,371 INFO] Epoch:2, Accuracy: 0.0043; F1: 0.5006; Recall: 0.0022; Precision: 0.1069; ROC AUC: 0.5011, MEMORY: 1599.8264, time: 9.5708
+[2024-06-11 16:51:44,516 INFO] ======================================================
+[2024-06-11 16:51:44,516 INFO] Epoch:3, Loss: 0.565, Time: 6.14, GPU: 1599.8MiB
+[2024-06-11 16:51:44,516 INFO] Epoch:3, Accuracy: 0.0141; F1: 0.5030; Recall: 0.0074; Precision: 0.5402; ROC AUC: 0.5034, MEMORY: 1599.8264, time: 9.0325
+[2024-06-11 16:51:51,148 INFO] ======================================================
+[2024-06-11 16:51:51,148 INFO] Epoch:4, Loss: 0.528, Time: 6.63, GPU: 1599.8MiB
+[2024-06-11 16:51:51,148 INFO] Epoch:4, Accuracy: 0.2225; F1: 0.4693; Recall: 0.1502; Precision: 0.5882; ROC AUC: 0.4696, MEMORY: 1599.8264, time: 8.8798
+[2024-06-11 16:51:57,208 INFO] ======================================================
+[2024-06-11 16:51:57,209 INFO] Epoch:5, Loss: 0.493, Time: 6.06, GPU: 1599.8MiB
+[2024-06-11 16:51:57,209 INFO] Epoch:5, Accuracy: 0.4704; F1: 0.5445; Recall: 0.3943; Precision: 0.6595; ROC AUC: 0.5447, MEMORY: 1599.8264, time: 8.6149
+[2024-06-11 16:52:03,325 INFO] ======================================================
+[2024-06-11 16:52:03,325 INFO] Epoch:6, Loss: 0.393, Time: 6.12, GPU: 1599.8MiB
+[2024-06-11 16:52:03,325 INFO] Epoch:6, Accuracy: 0.5429; F1: 0.5820; Recall: 0.4813; Precision: 0.6797; ROC AUC: 0.5822, MEMORY: 1599.8264, time: 9.1750
+[2024-06-11 16:52:09,544 INFO] ======================================================
+[2024-06-11 16:52:09,560 INFO] Epoch:7, Loss: 0.359, Time: 6.24, GPU: 1599.8MiB
+[2024-06-11 16:52:09,560 INFO] Epoch:7, Accuracy: 0.5896; F1: 0.6112; Recall: 0.5405; Precision: 0.6973; ROC AUC: 0.6113, MEMORY: 1599.8264, time: 8.5015
+[2024-06-11 16:52:15,686 INFO] ======================================================
+[2024-06-11 16:52:15,686 INFO] Epoch:8, Loss: 0.329, Time: 6.13, GPU: 1599.8MiB
+[2024-06-11 16:52:15,686 INFO] Epoch:8, Accuracy: 0.6297; F1: 0.6376; Recall: 0.5949; Precision: 0.7130; ROC AUC: 0.6377, MEMORY: 1599.8264, time: 8.6355
+[2024-06-11 16:52:21,828 INFO] ======================================================
+[2024-06-11 16:52:21,828 INFO] Epoch:9, Loss: 0.299, Time: 6.14, GPU: 1599.8MiB
+[2024-06-11 16:52:21,828 INFO] Epoch:9, Accuracy: 0.6848; F1: 0.6770; Recall: 0.6740; Precision: 0.7328; ROC AUC: 0.6771, MEMORY: 1599.8264, time: 8.1566
+[2024-06-11 16:52:27,860 INFO] ======================================================
+[2024-06-11 16:52:27,860 INFO] Epoch:10, Loss: 0.285, Time: 6.03, GPU: 1599.8MiB
+[2024-06-11 16:52:27,860 INFO] Epoch:10, Accuracy: 0.7510; F1: 0.7271; Recall: 0.7768; Precision: 0.7528; ROC AUC: 0.7271, MEMORY: 1599.8264, time: 8.5446
+[2024-06-11 16:52:33,987 INFO] ======================================================
+[2024-06-11 16:52:33,987 INFO] Epoch:11, Loss: 0.277, Time: 6.13, GPU: 1599.8MiB
+[2024-06-11 16:52:33,987 INFO] Epoch:11, Accuracy: 0.7813; F1: 0.7521; Recall: 0.8272; Precision: 0.7609; ROC AUC: 0.7521, MEMORY: 1599.8264, time: 9.2627
+[2024-06-11 16:52:40,144 INFO] ======================================================
+[2024-06-11 16:52:40,144 INFO] Epoch:12, Loss: 0.272, Time: 6.16, GPU: 1599.8MiB
+[2024-06-11 16:52:40,144 INFO] Epoch:12, Accuracy: 0.7934; F1: 0.7581; Recall: 0.8541; Precision: 0.7607; ROC AUC: 0.7580, MEMORY: 1599.8264, time: 8.7082
+[2024-06-11 16:52:46,334 INFO] ======================================================
+[2024-06-11 16:52:46,334 INFO] Epoch:13, Loss: 0.267, Time: 6.19, GPU: 1599.8MiB
+[2024-06-11 16:52:46,334 INFO] Epoch:13, Accuracy: 0.7938; F1: 0.7583; Recall: 0.8556; Precision: 0.7600; ROC AUC: 0.7583, MEMORY: 1599.8264, time: 8.6136
+[2024-06-11 16:52:52,430 INFO] ======================================================
+[2024-06-11 16:52:52,430 INFO] Epoch:14, Loss: 0.258, Time: 6.10, GPU: 1599.8MiB
+[2024-06-11 16:52:52,430 INFO] Epoch:14, Accuracy: 0.7944; F1: 0.7588; Recall: 0.8567; Precision: 0.7601; ROC AUC: 0.7588, MEMORY: 1599.8264, time: 8.5469
+[2024-06-11 16:52:58,620 INFO] ======================================================
+[2024-06-11 16:52:58,620 INFO] Epoch:15, Loss: 0.256, Time: 6.19, GPU: 1599.8MiB
+[2024-06-11 16:52:58,620 INFO] Epoch:15, Accuracy: 0.7948; F1: 0.7592; Recall: 0.8576; Precision: 0.7602; ROC AUC: 0.7592, MEMORY: 1599.8264, time: 9.7501
+[2024-06-11 16:53:04,761 INFO] ======================================================
+[2024-06-11 16:53:04,761 INFO] Epoch:16, Loss: 0.251, Time: 6.14, GPU: 1599.8MiB
+[2024-06-11 16:53:04,761 INFO] Epoch:16, Accuracy: 0.7952; F1: 0.7594; Recall: 0.8585; Precision: 0.7602; ROC AUC: 0.7594, MEMORY: 1599.8264, time: 9.1846
+[2024-06-11 16:53:06,542 INFO] ======================================================
+[2024-06-11 16:53:06,542 INFO] Epoch:17, Loss: 0.252, Time: 1.78, GPU: 1599.8MiB
+[2024-06-11 16:53:06,542 INFO] Epoch:17, Accuracy: 0.7952; F1: 0.7594; Recall: 0.8585; Precision: 0.7602; ROC AUC: 0.7594, MEMORY: 1599.8264, time: 9.1846
+[2024-06-11 16:53:12,717 INFO] ======================================================
+[2024-06-11 16:53:12,717 INFO] Epoch:18, Loss: 0.250, Time: 6.17, GPU: 1602.3MiB
+[2024-06-11 16:53:12,717 INFO] Epoch:18, Accuracy: 0.7953; F1: 0.7595; Recall: 0.8587; Precision: 0.7603; ROC AUC: 0.7595, MEMORY: 1602.2769, time: 9.0368
+[2024-06-11 16:53:14,530 INFO] ======================================================
+[2024-06-11 16:53:14,530 INFO] Epoch:19, Loss: 0.250, Time: 1.81, GPU: 1602.3MiB
+[2024-06-11 16:53:14,530 INFO] Epoch:19, Accuracy: 0.7953; F1: 0.7595; Recall: 0.8587; Precision: 0.7603; ROC AUC: 0.7595, MEMORY: 1602.2769, time: 9.0368
+[2024-06-11 16:53:20,624 INFO] ======================================================
+[2024-06-11 16:53:20,624 INFO] Epoch:20, Loss: 0.244, Time: 6.09, GPU: 1602.3MiB
+[2024-06-11 16:53:20,624 INFO] Epoch:20, Accuracy: 0.7954; F1: 0.7596; Recall: 0.8589; Precision: 0.7603; ROC AUC: 0.7596, MEMORY: 1602.2769, time: 8.9524
+[2024-06-11 16:53:20,624 INFO] >> Total time : 115.30
+[2024-06-11 16:53:20,624 INFO] >> Parameters: lr:0.0100 |Dim:2 |Window:5 |
+[2024-06-11 16:56:43,842 INFO] using model EGCN
+[2024-06-11 16:56:52,171 INFO] ======================================================
+[2024-06-11 16:56:52,171 INFO] Epoch:1, Loss: 0.686, Time: 6.56, GPU: 1597.7MiB
+[2024-06-11 16:56:52,171 INFO] Epoch:1, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1597.6909, time: 9.9802
+[2024-06-11 16:56:59,920 INFO] ======================================================
+[2024-06-11 16:56:59,920 INFO] Epoch:2, Loss: 0.657, Time: 7.75, GPU: 1599.8MiB
+[2024-06-11 16:56:59,920 INFO] Epoch:2, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.0678
+[2024-06-11 16:57:08,264 INFO] ======================================================
+[2024-06-11 16:57:08,264 INFO] Epoch:3, Loss: 0.637, Time: 8.34, GPU: 1599.8MiB
+[2024-06-11 16:57:08,264 INFO] Epoch:3, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.8963
+[2024-06-11 16:57:16,486 INFO] ======================================================
+[2024-06-11 16:57:16,486 INFO] Epoch:4, Loss: 0.617, Time: 8.22, GPU: 1599.8MiB
+[2024-06-11 16:57:16,486 INFO] Epoch:4, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.2462
+[2024-06-11 16:57:24,334 INFO] ======================================================
+[2024-06-11 16:57:24,334 INFO] Epoch:5, Loss: 0.594, Time: 7.85, GPU: 1599.8MiB
+[2024-06-11 16:57:24,334 INFO] Epoch:5, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.0322
+[2024-06-11 16:57:31,822 INFO] ======================================================
+[2024-06-11 16:57:31,822 INFO] Epoch:6, Loss: 0.565, Time: 7.49, GPU: 1599.8MiB
+[2024-06-11 16:57:31,822 INFO] Epoch:6, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 10.4312
+[2024-06-11 16:57:38,924 INFO] ======================================================
+[2024-06-11 16:57:38,924 INFO] Epoch:7, Loss: 0.533, Time: 7.10, GPU: 1599.8MiB
+[2024-06-11 16:57:38,924 INFO] Epoch:7, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 10.2951
+[2024-06-11 16:57:45,671 INFO] ======================================================
+[2024-06-11 16:57:45,671 INFO] Epoch:8, Loss: 0.490, Time: 6.75, GPU: 1599.8MiB
+[2024-06-11 16:57:45,671 INFO] Epoch:8, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.0414
+[2024-06-11 16:57:52,361 INFO] ======================================================
+[2024-06-11 16:57:52,361 INFO] Epoch:9, Loss: 0.447, Time: 6.69, GPU: 1599.8MiB
+[2024-06-11 16:57:52,361 INFO] Epoch:9, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.9574
+[2024-06-11 16:57:59,081 INFO] ======================================================
+[2024-06-11 16:57:59,081 INFO] Epoch:10, Loss: 0.413, Time: 6.72, GPU: 1599.8MiB
+[2024-06-11 16:57:59,081 INFO] Epoch:10, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 10.8658
+[2024-06-11 16:58:05,710 INFO] ======================================================
+[2024-06-11 16:58:05,710 INFO] Epoch:11, Loss: 0.382, Time: 6.63, GPU: 1599.8MiB
+[2024-06-11 16:58:05,710 INFO] Epoch:11, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.4271
+[2024-06-11 16:58:12,258 INFO] ======================================================
+[2024-06-11 16:58:12,258 INFO] Epoch:12, Loss: 0.364, Time: 6.55, GPU: 1599.8MiB
+[2024-06-11 16:58:12,258 INFO] Epoch:12, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.4214
+[2024-06-11 16:58:18,899 INFO] ======================================================
+[2024-06-11 16:58:18,899 INFO] Epoch:13, Loss: 0.352, Time: 6.64, GPU: 1599.8MiB
+[2024-06-11 16:58:18,899 INFO] Epoch:13, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.9981
+[2024-06-11 16:58:25,635 INFO] ======================================================
+[2024-06-11 16:58:25,635 INFO] Epoch:14, Loss: 0.339, Time: 6.74, GPU: 1599.8MiB
+[2024-06-11 16:58:25,635 INFO] Epoch:14, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.0355
+[2024-06-11 16:58:32,324 INFO] ======================================================
+[2024-06-11 16:58:32,324 INFO] Epoch:15, Loss: 0.328, Time: 6.67, GPU: 1599.8MiB
+[2024-06-11 16:58:32,324 INFO] Epoch:15, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.4753
+[2024-06-11 16:58:38,999 INFO] ======================================================
+[2024-06-11 16:58:38,999 INFO] Epoch:16, Loss: 0.322, Time: 6.67, GPU: 1599.8MiB
+[2024-06-11 16:58:38,999 INFO] Epoch:16, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.4688
+[2024-06-11 16:58:45,721 INFO] ======================================================
+[2024-06-11 16:58:45,721 INFO] Epoch:17, Loss: 0.317, Time: 6.72, GPU: 1599.8MiB
+[2024-06-11 16:58:45,721 INFO] Epoch:17, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.9204
+[2024-06-11 16:58:52,379 INFO] ======================================================
+[2024-06-11 16:58:52,379 INFO] Epoch:18, Loss: 0.310, Time: 6.66, GPU: 1599.8MiB
+[2024-06-11 16:58:52,379 INFO] Epoch:18, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 7.9360
+[2024-06-11 16:58:59,162 INFO] ======================================================
+[2024-06-11 16:58:59,162 INFO] Epoch:19, Loss: 0.304, Time: 6.78, GPU: 1599.8MiB
+[2024-06-11 16:58:59,162 INFO] Epoch:19, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 10.4089
+[2024-06-11 16:59:05,849 INFO] ======================================================
+[2024-06-11 16:59:05,849 INFO] Epoch:20, Loss: 0.299, Time: 6.69, GPU: 1599.8MiB
+[2024-06-11 16:59:05,849 INFO] Epoch:20, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.8209
+[2024-06-11 16:59:05,849 INFO] >> Total time : 140.24
+[2024-06-11 16:59:05,849 INFO] >> Parameters: lr:0.0010 |Dim:2 |Window:5 |
+[2024-06-11 23:46:24,243 INFO] using model EGCN
+[2024-06-11 23:46:55,358 INFO] using model EGCN
+[2024-06-11 23:47:24,847 INFO] using model EGCN
+[2024-06-11 23:47:33,195 INFO] ======================================================
+[2024-06-11 23:47:33,195 INFO] Epoch:1, Loss: 0.707, Time: 6.74, GPU: 1597.7MiB
+[2024-06-11 23:47:33,195 INFO] Epoch:1, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1597.6909, time: 8.4515
+[2024-06-11 23:47:39,997 INFO] ======================================================
+[2024-06-11 23:47:39,997 INFO] Epoch:2, Loss: 0.703, Time: 6.80, GPU: 1599.8MiB
+[2024-06-11 23:47:39,997 INFO] Epoch:2, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.5175
+[2024-06-11 23:47:46,829 INFO] ======================================================
+[2024-06-11 23:47:46,829 INFO] Epoch:3, Loss: 0.699, Time: 6.83, GPU: 1599.8MiB
+[2024-06-11 23:47:46,829 INFO] Epoch:3, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.6583
+[2024-06-11 23:47:53,595 INFO] ======================================================
+[2024-06-11 23:47:53,595 INFO] Epoch:4, Loss: 0.695, Time: 6.77, GPU: 1599.8MiB
+[2024-06-11 23:47:53,595 INFO] Epoch:4, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.0784
+[2024-06-11 23:48:00,383 INFO] ======================================================
+[2024-06-11 23:48:00,383 INFO] Epoch:5, Loss: 0.690, Time: 6.79, GPU: 1599.8MiB
+[2024-06-11 23:48:00,383 INFO] Epoch:5, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.3302
+[2024-06-11 23:48:07,278 INFO] ======================================================
+[2024-06-11 23:48:07,278 INFO] Epoch:6, Loss: 0.685, Time: 6.90, GPU: 1599.8MiB
+[2024-06-11 23:48:07,278 INFO] Epoch:6, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 10.1575
+[2024-06-11 23:48:14,268 INFO] ======================================================
+[2024-06-11 23:48:14,268 INFO] Epoch:7, Loss: 0.678, Time: 6.99, GPU: 1599.8MiB
+[2024-06-11 23:48:14,268 INFO] Epoch:7, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.1280
+[2024-06-11 23:48:21,288 INFO] ======================================================
+[2024-06-11 23:48:21,288 INFO] Epoch:8, Loss: 0.671, Time: 7.02, GPU: 1599.8MiB
+[2024-06-11 23:48:21,288 INFO] Epoch:8, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.9302
+[2024-06-11 23:48:28,228 INFO] ======================================================
+[2024-06-11 23:48:28,228 INFO] Epoch:9, Loss: 0.663, Time: 6.94, GPU: 1599.8MiB
+[2024-06-11 23:48:28,228 INFO] Epoch:9, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.4076
+[2024-06-11 23:48:34,981 INFO] ======================================================
+[2024-06-11 23:48:34,981 INFO] Epoch:10, Loss: 0.654, Time: 6.75, GPU: 1599.8MiB
+[2024-06-11 23:48:34,981 INFO] Epoch:10, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 7.7982
+[2024-06-11 23:48:41,782 INFO] ======================================================
+[2024-06-11 23:48:41,782 INFO] Epoch:11, Loss: 0.644, Time: 6.80, GPU: 1599.8MiB
+[2024-06-11 23:48:41,782 INFO] Epoch:11, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 10.9414
+[2024-06-11 23:48:48,508 INFO] ======================================================
+[2024-06-11 23:48:48,508 INFO] Epoch:12, Loss: 0.634, Time: 6.73, GPU: 1599.8MiB
+[2024-06-11 23:48:48,508 INFO] Epoch:12, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.5360
+[2024-06-11 23:48:55,338 INFO] ======================================================
+[2024-06-11 23:48:55,338 INFO] Epoch:13, Loss: 0.623, Time: 6.83, GPU: 1599.8MiB
+[2024-06-11 23:48:55,338 INFO] Epoch:13, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 10.2250
+[2024-06-11 23:49:02,170 INFO] ======================================================
+[2024-06-11 23:49:02,170 INFO] Epoch:14, Loss: 0.613, Time: 6.83, GPU: 1599.8MiB
+[2024-06-11 23:49:02,170 INFO] Epoch:14, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.2184
+[2024-06-11 23:49:08,908 INFO] ======================================================
+[2024-06-11 23:49:08,908 INFO] Epoch:15, Loss: 0.605, Time: 6.74, GPU: 1599.8MiB
+[2024-06-11 23:49:08,908 INFO] Epoch:15, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.8810
+[2024-06-11 23:49:15,756 INFO] ======================================================
+[2024-06-11 23:49:15,756 INFO] Epoch:16, Loss: 0.598, Time: 6.85, GPU: 1599.8MiB
+[2024-06-11 23:49:15,756 INFO] Epoch:16, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 10.2911
+[2024-06-11 23:49:25,090 INFO] using model EGCN
+[2024-06-11 23:49:32,829 INFO] ======================================================
+[2024-06-11 23:49:32,829 INFO] Epoch:1, Loss: 0.712, Time: 6.11, GPU: 1597.7MiB
+[2024-06-11 23:49:32,829 INFO] Epoch:1, Accuracy: 0.6892; F1: 0.5468; Recall: 0.9986; Precision: 0.5272; ROC AUC: 0.5465, MEMORY: 1597.6909, time: 8.7223
+[2024-06-11 23:49:38,928 INFO] ======================================================
+[2024-06-11 23:49:38,928 INFO] Epoch:2, Loss: 0.579, Time: 6.10, GPU: 1599.8MiB
+[2024-06-11 23:49:38,928 INFO] Epoch:2, Accuracy: 0.7609; F1: 0.6542; Recall: 0.9509; Precision: 0.6655; ROC AUC: 0.6543, MEMORY: 1599.8264, time: 9.0312
+[2024-06-11 23:49:45,135 INFO] ======================================================
+[2024-06-11 23:49:45,135 INFO] Epoch:3, Loss: 0.548, Time: 6.21, GPU: 1599.8MiB
+[2024-06-11 23:49:45,135 INFO] Epoch:3, Accuracy: 0.7604; F1: 0.6722; Recall: 0.9159; Precision: 0.6811; ROC AUC: 0.6723, MEMORY: 1599.8264, time: 8.8156
+[2024-06-11 23:49:51,261 INFO] ======================================================
+[2024-06-11 23:49:51,261 INFO] Epoch:4, Loss: 0.383, Time: 6.13, GPU: 1599.8MiB
+[2024-06-11 23:49:51,261 INFO] Epoch:4, Accuracy: 0.8060; F1: 0.7854; Recall: 0.8351; Precision: 0.7966; ROC AUC: 0.7854, MEMORY: 1599.8264, time: 8.9619
+[2024-06-11 23:49:57,595 INFO] ======================================================
+[2024-06-11 23:49:57,595 INFO] Epoch:5, Loss: 0.362, Time: 6.33, GPU: 1599.8MiB
+[2024-06-11 23:49:57,595 INFO] Epoch:5, Accuracy: 0.8289; F1: 0.8250; Recall: 0.7768; Precision: 0.9109; ROC AUC: 0.8250, MEMORY: 1599.8264, time: 9.7818
+[2024-06-11 23:50:03,725 INFO] ======================================================
+[2024-06-11 23:50:03,725 INFO] Epoch:6, Loss: 0.319, Time: 6.13, GPU: 1599.8MiB
+[2024-06-11 23:50:03,725 INFO] Epoch:6, Accuracy: 0.7945; F1: 0.7880; Recall: 0.7576; Precision: 0.8569; ROC AUC: 0.7879, MEMORY: 1599.8264, time: 8.6004
+[2024-06-11 23:50:09,977 INFO] ======================================================
+[2024-06-11 23:50:09,977 INFO] Epoch:7, Loss: 0.285, Time: 6.25, GPU: 1599.8MiB
+[2024-06-11 23:50:09,977 INFO] Epoch:7, Accuracy: 0.7851; F1: 0.7800; Recall: 0.7432; Precision: 0.8545; ROC AUC: 0.7799, MEMORY: 1599.8264, time: 8.5324
+[2024-06-11 23:50:16,106 INFO] ======================================================
+[2024-06-11 23:50:16,106 INFO] Epoch:8, Loss: 0.263, Time: 6.13, GPU: 1599.8MiB
+[2024-06-11 23:50:16,106 INFO] Epoch:8, Accuracy: 0.7803; F1: 0.7761; Recall: 0.7357; Precision: 0.8536; ROC AUC: 0.7760, MEMORY: 1599.8264, time: 8.9239
+[2024-06-11 23:50:22,265 INFO] ======================================================
+[2024-06-11 23:50:22,265 INFO] Epoch:9, Loss: 0.250, Time: 6.16, GPU: 1599.8MiB
+[2024-06-11 23:50:22,265 INFO] Epoch:9, Accuracy: 0.7868; F1: 0.7814; Recall: 0.7462; Precision: 0.8547; ROC AUC: 0.7813, MEMORY: 1599.8264, time: 8.0351
+[2024-06-11 23:50:28,426 INFO] ======================================================
+[2024-06-11 23:50:28,426 INFO] Epoch:10, Loss: 0.237, Time: 6.15, GPU: 1599.8MiB
+[2024-06-11 23:50:28,426 INFO] Epoch:10, Accuracy: 0.8285; F1: 0.8145; Recall: 0.8152; Precision: 0.8623; ROC AUC: 0.8145, MEMORY: 1599.8264, time: 8.5439
+[2024-06-11 23:50:34,677 INFO] ======================================================
+[2024-06-11 23:50:34,677 INFO] Epoch:11, Loss: 0.227, Time: 6.25, GPU: 1599.8MiB
+[2024-06-11 23:50:34,677 INFO] Epoch:11, Accuracy: 0.8322; F1: 0.8173; Recall: 0.8223; Precision: 0.8623; ROC AUC: 0.8172, MEMORY: 1599.8264, time: 9.0932
+[2024-06-11 23:50:40,874 INFO] ======================================================
+[2024-06-11 23:50:40,874 INFO] Epoch:12, Loss: 0.223, Time: 6.20, GPU: 1599.8MiB
+[2024-06-11 23:50:40,874 INFO] Epoch:12, Accuracy: 0.8356; F1: 0.8201; Recall: 0.8286; Precision: 0.8627; ROC AUC: 0.8200, MEMORY: 1599.8264, time: 8.9934
+[2024-06-11 23:50:47,046 INFO] ======================================================
+[2024-06-11 23:50:47,046 INFO] Epoch:13, Loss: 0.220, Time: 6.17, GPU: 1599.8MiB
+[2024-06-11 23:50:47,046 INFO] Epoch:13, Accuracy: 0.8419; F1: 0.8254; Recall: 0.8396; Precision: 0.8639; ROC AUC: 0.8253, MEMORY: 1599.8264, time: 9.1244
+[2024-06-11 23:50:53,299 INFO] ======================================================
+[2024-06-11 23:50:53,299 INFO] Epoch:14, Loss: 0.214, Time: 6.25, GPU: 1599.8MiB
+[2024-06-11 23:50:53,299 INFO] Epoch:14, Accuracy: 0.8438; F1: 0.8270; Recall: 0.8432; Precision: 0.8641; ROC AUC: 0.8269, MEMORY: 1599.8264, time: 9.4108
+[2024-06-11 23:50:59,460 INFO] ======================================================
+[2024-06-11 23:50:59,460 INFO] Epoch:15, Loss: 0.211, Time: 6.16, GPU: 1599.8MiB
+[2024-06-11 23:50:59,460 INFO] Epoch:15, Accuracy: 0.8471; F1: 0.8297; Recall: 0.8495; Precision: 0.8643; ROC AUC: 0.8296, MEMORY: 1599.8264, time: 9.2608
+[2024-06-11 23:51:01,243 INFO] ======================================================
+[2024-06-11 23:51:01,243 INFO] Epoch:16, Loss: 0.213, Time: 1.78, GPU: 1599.8MiB
+[2024-06-11 23:51:01,243 INFO] Epoch:16, Accuracy: 0.8471; F1: 0.8297; Recall: 0.8495; Precision: 0.8643; ROC AUC: 0.8296, MEMORY: 1599.8264, time: 9.2608
+[2024-06-11 23:51:07,402 INFO] ======================================================
+[2024-06-11 23:51:07,402 INFO] Epoch:17, Loss: 0.207, Time: 6.16, GPU: 1602.3MiB
+[2024-06-11 23:51:07,402 INFO] Epoch:17, Accuracy: 0.8714; F1: 0.8514; Recall: 0.8933; Precision: 0.8687; ROC AUC: 0.8513, MEMORY: 1602.2769, time: 8.7003
+[2024-06-11 23:51:13,703 INFO] ======================================================
+[2024-06-11 23:51:13,703 INFO] Epoch:18, Loss: 0.203, Time: 6.30, GPU: 1602.3MiB
+[2024-06-11 23:51:13,703 INFO] Epoch:18, Accuracy: 0.8713; F1: 0.8511; Recall: 0.8940; Precision: 0.8678; ROC AUC: 0.8509, MEMORY: 1602.2769, time: 8.7684
+[2024-06-11 23:51:19,927 INFO] ======================================================
+[2024-06-11 23:51:19,927 INFO] Epoch:19, Loss: 0.201, Time: 6.22, GPU: 1602.3MiB
+[2024-06-11 23:51:19,943 INFO] Epoch:19, Accuracy: 0.8712; F1: 0.8509; Recall: 0.8946; Precision: 0.8672; ROC AUC: 0.8507, MEMORY: 1602.2769, time: 9.5681
+[2024-06-11 23:51:26,070 INFO] ======================================================
+[2024-06-11 23:51:26,070 INFO] Epoch:20, Loss: 0.196, Time: 6.13, GPU: 1602.3MiB
+[2024-06-11 23:51:26,070 INFO] Epoch:20, Accuracy: 0.8703; F1: 0.8495; Recall: 0.8959; Precision: 0.8644; ROC AUC: 0.8493, MEMORY: 1602.2769, time: 7.6941
+[2024-06-11 23:51:26,070 INFO] >> Total time : 119.35
+[2024-06-11 23:51:26,070 INFO] >> Parameters: lr:0.0100 |Dim:2 |Window:5 |
+[2024-06-11 23:52:36,808 INFO] using model EGCN
+[2024-06-11 23:52:44,703 INFO] ======================================================
+[2024-06-11 23:52:44,703 INFO] Epoch:1, Loss: 0.628, Time: 6.21, GPU: 1597.7MiB
+[2024-06-11 23:52:44,703 INFO] Epoch:1, Accuracy: 0.2303; F1: 0.5668; Recall: 0.1379; Precision: 0.9619; ROC AUC: 0.5672, MEMORY: 1597.6909, time: 9.2174
+[2024-06-11 23:52:50,957 INFO] ======================================================
+[2024-06-11 23:52:50,957 INFO] Epoch:2, Loss: 0.461, Time: 6.25, GPU: 1599.8MiB
+[2024-06-11 23:52:50,957 INFO] Epoch:2, Accuracy: 0.1661; F1: 0.5464; Recall: 0.0959; Precision: 0.9379; ROC AUC: 0.5469, MEMORY: 1599.8264, time: 8.7857
+[2024-06-11 23:52:52,786 INFO] ======================================================
+[2024-06-11 23:52:52,786 INFO] Epoch:3, Loss: 0.637, Time: 1.83, GPU: 1599.8MiB
+[2024-06-11 23:52:52,786 INFO] Epoch:3, Accuracy: 0.1661; F1: 0.5464; Recall: 0.0959; Precision: 0.9379; ROC AUC: 0.5469, MEMORY: 1599.8264, time: 8.7857
+[2024-06-11 23:52:54,537 INFO] ======================================================
+[2024-06-11 23:52:54,537 INFO] Epoch:4, Loss: 0.678, Time: 1.75, GPU: 1602.3MiB
+[2024-06-11 23:52:54,537 INFO] Epoch:4, Accuracy: 0.1661; F1: 0.5464; Recall: 0.0959; Precision: 0.9379; ROC AUC: 0.5469, MEMORY: 1599.8264, time: 8.7857
+[2024-06-11 23:52:56,273 INFO] ======================================================
+[2024-06-11 23:52:56,273 INFO] Epoch:5, Loss: 0.565, Time: 1.74, GPU: 1602.3MiB
+[2024-06-11 23:52:56,273 INFO] Epoch:5, Accuracy: 0.1661; F1: 0.5464; Recall: 0.0959; Precision: 0.9379; ROC AUC: 0.5469, MEMORY: 1599.8264, time: 8.7857
+[2024-06-11 23:53:02,540 INFO] ======================================================
+[2024-06-11 23:53:02,540 INFO] Epoch:6, Loss: 0.386, Time: 6.27, GPU: 1602.3MiB
+[2024-06-11 23:53:02,540 INFO] Epoch:6, Accuracy: 0.8479; F1: 0.8610; Recall: 0.7621; Precision: 0.9617; ROC AUC: 0.8611, MEMORY: 1602.2769, time: 8.5605
+[2024-06-11 23:53:08,751 INFO] ======================================================
+[2024-06-11 23:53:08,751 INFO] Epoch:7, Loss: 0.368, Time: 6.21, GPU: 1602.3MiB
+[2024-06-11 23:53:08,751 INFO] Epoch:7, Accuracy: 0.8385; F1: 0.8344; Recall: 0.7804; Precision: 0.9278; ROC AUC: 0.8344, MEMORY: 1602.2769, time: 9.2958
+[2024-06-11 23:53:10,581 INFO] ======================================================
+[2024-06-11 23:53:10,581 INFO] Epoch:8, Loss: 0.632, Time: 1.83, GPU: 1602.3MiB
+[2024-06-11 23:53:10,581 INFO] Epoch:8, Accuracy: 0.8385; F1: 0.8344; Recall: 0.7804; Precision: 0.9278; ROC AUC: 0.8344, MEMORY: 1602.2769, time: 9.2958
+[2024-06-11 23:53:12,332 INFO] ======================================================
+[2024-06-11 23:53:12,332 INFO] Epoch:9, Loss: 0.474, Time: 1.75, GPU: 1602.3MiB
+[2024-06-11 23:53:12,332 INFO] Epoch:9, Accuracy: 0.8385; F1: 0.8344; Recall: 0.7804; Precision: 0.9278; ROC AUC: 0.8344, MEMORY: 1602.2769, time: 9.2958
+[2024-06-11 23:53:14,067 INFO] ======================================================
+[2024-06-11 23:53:14,067 INFO] Epoch:10, Loss: 0.433, Time: 1.74, GPU: 1602.3MiB
+[2024-06-11 23:53:14,082 INFO] Epoch:10, Accuracy: 0.8385; F1: 0.8344; Recall: 0.7804; Precision: 0.9278; ROC AUC: 0.8344, MEMORY: 1602.2769, time: 9.2958
+[2024-06-11 23:53:15,865 INFO] ======================================================
+[2024-06-11 23:53:15,865 INFO] Epoch:11, Loss: 0.423, Time: 1.78, GPU: 1602.3MiB
+[2024-06-11 23:53:15,865 INFO] Epoch:11, Accuracy: 0.8385; F1: 0.8344; Recall: 0.7804; Precision: 0.9278; ROC AUC: 0.8344, MEMORY: 1602.2769, time: 9.2958
+[2024-06-11 23:53:17,618 INFO] ======================================================
+[2024-06-11 23:53:17,618 INFO] Epoch:12, Loss: 0.408, Time: 1.75, GPU: 1602.3MiB
+[2024-06-11 23:53:17,618 INFO] Epoch:12, Accuracy: 0.8385; F1: 0.8344; Recall: 0.7804; Precision: 0.9278; ROC AUC: 0.8344, MEMORY: 1602.2769, time: 9.2958
+[2024-06-11 23:53:19,337 INFO] ======================================================
+[2024-06-11 23:53:19,337 INFO] Epoch:13, Loss: 0.395, Time: 1.72, GPU: 1602.3MiB
+[2024-06-11 23:53:19,337 INFO] Epoch:13, Accuracy: 0.8385; F1: 0.8344; Recall: 0.7804; Precision: 0.9278; ROC AUC: 0.8344, MEMORY: 1602.2769, time: 9.2958
+[2024-06-11 23:53:21,088 INFO] ======================================================
+[2024-06-11 23:53:21,088 INFO] Epoch:14, Loss: 0.383, Time: 1.75, GPU: 1602.3MiB
+[2024-06-11 23:53:21,088 INFO] Epoch:14, Accuracy: 0.8385; F1: 0.8344; Recall: 0.7804; Precision: 0.9278; ROC AUC: 0.8344, MEMORY: 1602.2769, time: 9.2958
+[2024-06-11 23:53:22,824 INFO] ======================================================
+[2024-06-11 23:53:22,824 INFO] Epoch:15, Loss: 0.369, Time: 1.74, GPU: 1602.3MiB
+[2024-06-11 23:53:22,824 INFO] Epoch:15, Accuracy: 0.8385; F1: 0.8344; Recall: 0.7804; Precision: 0.9278; ROC AUC: 0.8344, MEMORY: 1602.2769, time: 9.2958
+[2024-06-11 23:53:29,028 INFO] ======================================================
+[2024-06-11 23:53:29,028 INFO] Epoch:16, Loss: 0.356, Time: 6.20, GPU: 1602.3MiB
+[2024-06-11 23:53:29,028 INFO] Epoch:16, Accuracy: 0.8252; F1: 0.8466; Recall: 0.7222; Precision: 0.9705; ROC AUC: 0.8469, MEMORY: 1602.2769, time: 8.3886
+[2024-06-11 23:53:35,268 INFO] ======================================================
+[2024-06-11 23:53:35,268 INFO] Epoch:17, Loss: 0.345, Time: 6.24, GPU: 1602.3MiB
+[2024-06-11 23:53:35,268 INFO] Epoch:17, Accuracy: 0.7993; F1: 0.8166; Recall: 0.7230; Precision: 0.9032; ROC AUC: 0.8169, MEMORY: 1602.2769, time: 9.0347
+[2024-06-11 23:53:41,553 INFO] ======================================================
+[2024-06-11 23:53:41,553 INFO] Epoch:18, Loss: 0.332, Time: 6.28, GPU: 1602.3MiB
+[2024-06-11 23:53:41,553 INFO] Epoch:18, Accuracy: 0.7984; F1: 0.8150; Recall: 0.7231; Precision: 0.9012; ROC AUC: 0.8152, MEMORY: 1602.2769, time: 9.2770
+[2024-06-11 23:53:47,858 INFO] ======================================================
+[2024-06-11 23:53:47,858 INFO] Epoch:19, Loss: 0.325, Time: 6.30, GPU: 1602.3MiB
+[2024-06-11 23:53:47,858 INFO] Epoch:19, Accuracy: 0.8013; F1: 0.8169; Recall: 0.7277; Precision: 0.9011; ROC AUC: 0.8171, MEMORY: 1602.2769, time: 8.7915
+[2024-06-11 23:53:54,111 INFO] ======================================================
+[2024-06-11 23:53:54,111 INFO] Epoch:20, Loss: 0.320, Time: 6.25, GPU: 1602.3MiB
+[2024-06-11 23:53:54,111 INFO] Epoch:20, Accuracy: 0.8040; F1: 0.8176; Recall: 0.7332; Precision: 0.9001; ROC AUC: 0.8179, MEMORY: 1602.2769, time: 9.0993
+[2024-06-11 23:53:54,111 INFO] >> Total time : 75.61
+[2024-06-11 23:53:54,111 INFO] >> Parameters: lr:0.0200 |Dim:2 |Window:5 |
+[2024-06-11 23:54:17,453 INFO] using model EGCN
+[2024-06-11 23:54:25,191 INFO] ======================================================
+[2024-06-11 23:54:25,191 INFO] Epoch:1, Loss: 0.714, Time: 6.06, GPU: 1597.7MiB
+[2024-06-11 23:54:25,191 INFO] Epoch:1, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1597.6909, time: 9.0117
+[2024-06-11 23:54:31,383 INFO] ======================================================
+[2024-06-11 23:54:31,383 INFO] Epoch:2, Loss: 0.707, Time: 6.19, GPU: 1599.8MiB
+[2024-06-11 23:54:31,383 INFO] Epoch:2, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.4641
+[2024-06-11 23:54:37,639 INFO] ======================================================
+[2024-06-11 23:54:37,639 INFO] Epoch:3, Loss: 0.695, Time: 6.26, GPU: 1599.8MiB
+[2024-06-11 23:54:37,639 INFO] Epoch:3, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.8198
+[2024-06-11 23:54:43,752 INFO] ======================================================
+[2024-06-11 23:54:43,752 INFO] Epoch:4, Loss: 0.678, Time: 6.11, GPU: 1599.8MiB
+[2024-06-11 23:54:43,752 INFO] Epoch:4, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.2402
+[2024-06-11 23:54:49,973 INFO] ======================================================
+[2024-06-11 23:54:49,973 INFO] Epoch:5, Loss: 0.653, Time: 6.22, GPU: 1599.8MiB
+[2024-06-11 23:54:49,973 INFO] Epoch:5, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.2549
+[2024-06-11 23:54:56,213 INFO] ======================================================
+[2024-06-11 23:54:56,213 INFO] Epoch:6, Loss: 0.633, Time: 6.24, GPU: 1599.8MiB
+[2024-06-11 23:54:56,213 INFO] Epoch:6, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.1768
+[2024-06-11 23:55:02,575 INFO] ======================================================
+[2024-06-11 23:55:02,575 INFO] Epoch:7, Loss: 0.603, Time: 6.36, GPU: 1599.8MiB
+[2024-06-11 23:55:02,575 INFO] Epoch:7, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.0542
+[2024-06-11 23:55:08,890 INFO] ======================================================
+[2024-06-11 23:55:08,890 INFO] Epoch:8, Loss: 0.580, Time: 6.31, GPU: 1599.8MiB
+[2024-06-11 23:55:08,890 INFO] Epoch:8, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.2386
+[2024-06-11 23:55:15,112 INFO] ======================================================
+[2024-06-11 23:55:15,112 INFO] Epoch:9, Loss: 0.552, Time: 6.22, GPU: 1599.8MiB
+[2024-06-11 23:55:15,112 INFO] Epoch:9, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.4155
+[2024-06-11 23:55:21,383 INFO] ======================================================
+[2024-06-11 23:55:21,383 INFO] Epoch:10, Loss: 0.521, Time: 6.27, GPU: 1599.8MiB
+[2024-06-11 23:55:21,383 INFO] Epoch:10, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.9025
+[2024-06-11 23:55:27,668 INFO] ======================================================
+[2024-06-11 23:55:27,668 INFO] Epoch:11, Loss: 0.490, Time: 6.29, GPU: 1599.8MiB
+[2024-06-11 23:55:27,668 INFO] Epoch:11, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.1073
+[2024-06-11 23:55:33,877 INFO] ======================================================
+[2024-06-11 23:55:33,892 INFO] Epoch:12, Loss: 0.461, Time: 6.21, GPU: 1599.8MiB
+[2024-06-11 23:55:33,892 INFO] Epoch:12, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.5760
+[2024-06-11 23:55:40,085 INFO] ======================================================
+[2024-06-11 23:55:40,085 INFO] Epoch:13, Loss: 0.427, Time: 6.19, GPU: 1599.8MiB
+[2024-06-11 23:55:40,085 INFO] Epoch:13, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.0526
+[2024-06-11 23:55:46,321 INFO] ======================================================
+[2024-06-11 23:55:46,321 INFO] Epoch:14, Loss: 0.395, Time: 6.24, GPU: 1599.8MiB
+[2024-06-11 23:55:46,321 INFO] Epoch:14, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.8300
+[2024-06-11 23:55:52,559 INFO] ======================================================
+[2024-06-11 23:55:52,559 INFO] Epoch:15, Loss: 0.368, Time: 6.24, GPU: 1599.8MiB
+[2024-06-11 23:55:52,559 INFO] Epoch:15, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.4676
+[2024-06-11 23:55:58,814 INFO] ======================================================
+[2024-06-11 23:55:58,814 INFO] Epoch:16, Loss: 0.346, Time: 6.25, GPU: 1599.8MiB
+[2024-06-11 23:55:58,814 INFO] Epoch:16, Accuracy: 0.7436; F1: 0.6316; Recall: 0.9997; Precision: 0.6031; ROC AUC: 0.6315, MEMORY: 1599.8264, time: 8.3963
+[2024-06-11 23:56:05,018 INFO] ======================================================
+[2024-06-11 23:56:05,018 INFO] Epoch:17, Loss: 0.329, Time: 6.20, GPU: 1599.8MiB
+[2024-06-11 23:56:05,018 INFO] Epoch:17, Accuracy: 0.8200; F1: 0.7750; Recall: 0.9852; Precision: 0.7072; ROC AUC: 0.7747, MEMORY: 1599.8264, time: 9.1255
+[2024-06-11 23:56:11,212 INFO] ======================================================
+[2024-06-11 23:56:11,212 INFO] Epoch:18, Loss: 0.319, Time: 6.19, GPU: 1599.8MiB
+[2024-06-11 23:56:11,212 INFO] Epoch:18, Accuracy: 0.7992; F1: 0.7587; Recall: 0.9238; Precision: 0.7110; ROC AUC: 0.7584, MEMORY: 1599.8264, time: 8.5987
+[2024-06-11 23:56:17,464 INFO] ======================================================
+[2024-06-11 23:56:17,464 INFO] Epoch:19, Loss: 0.312, Time: 6.24, GPU: 1599.8MiB
+[2024-06-11 23:56:17,464 INFO] Epoch:19, Accuracy: 0.8163; F1: 0.7853; Recall: 0.9003; Precision: 0.7569; ROC AUC: 0.7850, MEMORY: 1599.8264, time: 8.3133
+[2024-06-11 23:56:23,673 INFO] ======================================================
+[2024-06-11 23:56:23,673 INFO] Epoch:20, Loss: 0.309, Time: 6.21, GPU: 1599.8MiB
+[2024-06-11 23:56:23,673 INFO] Epoch:20, Accuracy: 0.8118; F1: 0.7794; Recall: 0.9005; Precision: 0.7488; ROC AUC: 0.7790, MEMORY: 1599.8264, time: 9.1084
+[2024-06-11 23:56:23,673 INFO] >> Total time : 124.55
+[2024-06-11 23:56:23,673 INFO] >> Parameters: lr:0.0090 |Dim:2 |Window:5 |
+[2024-06-12 01:09:29,468 INFO] using model EGCN
+[2024-06-12 01:09:38,008 INFO] ======================================================
+[2024-06-12 01:09:38,008 INFO] Epoch:1, Loss: 0.732, Time: 6.77, GPU: 1597.7MiB
+[2024-06-12 01:09:38,008 INFO] Epoch:1, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1597.6909, time: 9.0225
+[2024-06-12 01:09:44,839 INFO] ======================================================
+[2024-06-12 01:09:44,839 INFO] Epoch:2, Loss: 0.685, Time: 6.83, GPU: 1599.8MiB
+[2024-06-12 01:09:44,839 INFO] Epoch:2, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 10.1236
+[2024-06-12 01:09:51,655 INFO] ======================================================
+[2024-06-12 01:09:51,655 INFO] Epoch:3, Loss: 0.651, Time: 6.82, GPU: 1599.8MiB
+[2024-06-12 01:09:51,655 INFO] Epoch:3, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.8011
+[2024-06-12 01:09:58,613 INFO] ======================================================
+[2024-06-12 01:09:58,613 INFO] Epoch:4, Loss: 0.627, Time: 6.96, GPU: 1599.8MiB
+[2024-06-12 01:09:58,613 INFO] Epoch:4, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 10.2029
+[2024-06-12 01:10:05,396 INFO] ======================================================
+[2024-06-12 01:10:05,396 INFO] Epoch:5, Loss: 0.602, Time: 6.78, GPU: 1599.8MiB
+[2024-06-12 01:10:05,396 INFO] Epoch:5, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.0833
+[2024-06-12 01:10:12,229 INFO] ======================================================
+[2024-06-12 01:10:12,229 INFO] Epoch:6, Loss: 0.569, Time: 6.83, GPU: 1599.8MiB
+[2024-06-12 01:10:12,229 INFO] Epoch:6, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.4645
+[2024-06-12 01:10:19,059 INFO] ======================================================
+[2024-06-12 01:10:19,059 INFO] Epoch:7, Loss: 0.530, Time: 6.83, GPU: 1599.8MiB
+[2024-06-12 01:10:19,059 INFO] Epoch:7, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 10.0674
+[2024-06-12 01:10:25,880 INFO] ======================================================
+[2024-06-12 01:10:25,880 INFO] Epoch:8, Loss: 0.492, Time: 6.82, GPU: 1599.8MiB
+[2024-06-12 01:10:25,880 INFO] Epoch:8, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.0889
+[2024-06-12 01:10:32,744 INFO] ======================================================
+[2024-06-12 01:10:32,744 INFO] Epoch:9, Loss: 0.462, Time: 6.86, GPU: 1599.8MiB
+[2024-06-12 01:10:32,744 INFO] Epoch:9, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.6033
+[2024-06-12 01:10:39,562 INFO] ======================================================
+[2024-06-12 01:10:39,562 INFO] Epoch:10, Loss: 0.440, Time: 6.82, GPU: 1599.8MiB
+[2024-06-12 01:10:39,562 INFO] Epoch:10, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0000; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.6869
+[2024-06-12 01:10:46,297 INFO] ======================================================
+[2024-06-12 01:10:46,297 INFO] Epoch:11, Loss: 0.423, Time: 6.74, GPU: 1599.8MiB
+[2024-06-12 01:10:46,297 INFO] Epoch:11, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0063; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.6942
+[2024-06-12 01:10:53,208 INFO] ======================================================
+[2024-06-12 01:10:53,208 INFO] Epoch:12, Loss: 0.407, Time: 6.91, GPU: 1599.8MiB
+[2024-06-12 01:10:53,208 INFO] Epoch:12, Accuracy: 0.0000; F1: 0.4995; Recall: 0.0000; Precision: 0.0094; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 9.5158
+[2024-06-12 01:11:12,518 INFO] using model EGCN
+[2024-06-12 01:11:20,336 INFO] ======================================================
+[2024-06-12 01:11:20,336 INFO] Epoch:1, Loss: 0.807, Time: 6.16, GPU: 1597.7MiB
+[2024-06-12 01:11:20,336 INFO] Epoch:1, Accuracy: 0.6482; F1: 0.4837; Recall: 0.9518; Precision: 0.4919; ROC AUC: 0.4834, MEMORY: 1597.6909, time: 7.9412
+[2024-06-12 01:11:26,528 INFO] ======================================================
+[2024-06-12 01:11:26,528 INFO] Epoch:2, Loss: 0.536, Time: 6.19, GPU: 1599.8MiB
+[2024-06-12 01:11:26,528 INFO] Epoch:2, Accuracy: 0.6604; F1: 0.4934; Recall: 0.9849; Precision: 0.4969; ROC AUC: 0.4930, MEMORY: 1599.8264, time: 9.5432
+[2024-06-12 01:11:32,719 INFO] ======================================================
+[2024-06-12 01:11:32,719 INFO] Epoch:3, Loss: 0.480, Time: 6.19, GPU: 1599.8MiB
+[2024-06-12 01:11:32,719 INFO] Epoch:3, Accuracy: 0.6640; F1: 0.4974; Recall: 0.9929; Precision: 0.4989; ROC AUC: 0.4970, MEMORY: 1599.8264, time: 9.1545
+[2024-06-12 01:11:38,926 INFO] ======================================================
+[2024-06-12 01:11:38,926 INFO] Epoch:4, Loss: 0.366, Time: 6.21, GPU: 1599.8MiB
+[2024-06-12 01:11:38,926 INFO] Epoch:4, Accuracy: 0.6633; F1: 0.4967; Recall: 0.9914; Precision: 0.4985; ROC AUC: 0.4962, MEMORY: 1599.8264, time: 9.0656
+[2024-06-12 01:11:45,138 INFO] ======================================================
+[2024-06-12 01:11:45,138 INFO] Epoch:5, Loss: 0.329, Time: 6.21, GPU: 1599.8MiB
+[2024-06-12 01:11:45,138 INFO] Epoch:5, Accuracy: 0.6983; F1: 0.5722; Recall: 0.9679; Precision: 0.5503; ROC AUC: 0.5720, MEMORY: 1599.8264, time: 9.0758
+[2024-06-12 01:11:51,387 INFO] ======================================================
+[2024-06-12 01:11:51,387 INFO] Epoch:6, Loss: 0.321, Time: 6.25, GPU: 1599.8MiB
+[2024-06-12 01:11:51,387 INFO] Epoch:6, Accuracy: 0.7919; F1: 0.7480; Recall: 0.9300; Precision: 0.6955; ROC AUC: 0.7478, MEMORY: 1599.8264, time: 8.9358
+[2024-06-12 01:11:57,655 INFO] ======================================================
+[2024-06-12 01:11:57,655 INFO] Epoch:7, Loss: 0.304, Time: 6.27, GPU: 1599.8MiB
+[2024-06-12 01:11:57,671 INFO] Epoch:7, Accuracy: 0.7796; F1: 0.7362; Recall: 0.9060; Precision: 0.6902; ROC AUC: 0.7360, MEMORY: 1599.8264, time: 8.5948
+[2024-06-12 01:12:03,970 INFO] ======================================================
+[2024-06-12 01:12:03,970 INFO] Epoch:8, Loss: 0.300, Time: 6.30, GPU: 1599.8MiB
+[2024-06-12 01:12:03,970 INFO] Epoch:8, Accuracy: 0.7686; F1: 0.7256; Recall: 0.8846; Precision: 0.6854; ROC AUC: 0.7254, MEMORY: 1599.8264, time: 8.6909
+[2024-06-12 01:12:10,132 INFO] ======================================================
+[2024-06-12 01:12:10,132 INFO] Epoch:9, Loss: 0.299, Time: 6.16, GPU: 1599.8MiB
+[2024-06-12 01:12:10,132 INFO] Epoch:9, Accuracy: 0.7994; F1: 0.7718; Recall: 0.8559; Precision: 0.7622; ROC AUC: 0.7715, MEMORY: 1599.8264, time: 9.0856
+[2024-06-12 01:12:16,246 INFO] ======================================================
+[2024-06-12 01:12:16,246 INFO] Epoch:10, Loss: 0.290, Time: 6.11, GPU: 1599.8MiB
+[2024-06-12 01:12:16,246 INFO] Epoch:10, Accuracy: 0.8024; F1: 0.7774; Recall: 0.8449; Precision: 0.7781; ROC AUC: 0.7772, MEMORY: 1599.8264, time: 8.5579
+[2024-06-12 01:12:22,502 INFO] ======================================================
+[2024-06-12 01:12:22,502 INFO] Epoch:11, Loss: 0.282, Time: 6.24, GPU: 1599.8MiB
+[2024-06-12 01:12:22,502 INFO] Epoch:11, Accuracy: 0.8441; F1: 0.8267; Recall: 0.8432; Precision: 0.8637; ROC AUC: 0.8265, MEMORY: 1599.8264, time: 8.6469
+[2024-06-12 01:12:28,741 INFO] ======================================================
+[2024-06-12 01:12:28,741 INFO] Epoch:12, Loss: 0.276, Time: 6.24, GPU: 1599.8MiB
+[2024-06-12 01:12:28,741 INFO] Epoch:12, Accuracy: 0.8446; F1: 0.8270; Recall: 0.8439; Precision: 0.8640; ROC AUC: 0.8269, MEMORY: 1599.8264, time: 8.8354
+[2024-06-12 01:12:34,933 INFO] ======================================================
+[2024-06-12 01:12:34,933 INFO] Epoch:13, Loss: 0.266, Time: 6.19, GPU: 1599.8MiB
+[2024-06-12 01:12:34,933 INFO] Epoch:13, Accuracy: 0.8449; F1: 0.8273; Recall: 0.8445; Precision: 0.8641; ROC AUC: 0.8272, MEMORY: 1599.8264, time: 8.7953
+[2024-06-12 01:12:41,186 INFO] ======================================================
+[2024-06-12 01:12:41,186 INFO] Epoch:14, Loss: 0.257, Time: 6.25, GPU: 1599.8MiB
+[2024-06-12 01:12:41,186 INFO] Epoch:14, Accuracy: 0.8450; F1: 0.8274; Recall: 0.8447; Precision: 0.8641; ROC AUC: 0.8273, MEMORY: 1599.8264, time: 8.0630
+[2024-06-12 01:12:47,471 INFO] ======================================================
+[2024-06-12 01:12:47,471 INFO] Epoch:15, Loss: 0.255, Time: 6.29, GPU: 1599.8MiB
+[2024-06-12 01:12:47,471 INFO] Epoch:15, Accuracy: 0.8450; F1: 0.8274; Recall: 0.8447; Precision: 0.8641; ROC AUC: 0.8272, MEMORY: 1599.8264, time: 9.3124
+[2024-06-12 01:12:53,787 INFO] ======================================================
+[2024-06-12 01:12:53,787 INFO] Epoch:16, Loss: 0.244, Time: 6.32, GPU: 1599.8MiB
+[2024-06-12 01:12:53,787 INFO] Epoch:16, Accuracy: 0.8449; F1: 0.8273; Recall: 0.8446; Precision: 0.8641; ROC AUC: 0.8272, MEMORY: 1599.8264, time: 9.1174
+[2024-06-12 01:13:00,133 INFO] ======================================================
+[2024-06-12 01:13:00,133 INFO] Epoch:17, Loss: 0.243, Time: 6.35, GPU: 1599.8MiB
+[2024-06-12 01:13:00,133 INFO] Epoch:17, Accuracy: 0.8450; F1: 0.8274; Recall: 0.8447; Precision: 0.8641; ROC AUC: 0.8272, MEMORY: 1599.8264, time: 8.9122
+[2024-06-12 01:13:06,403 INFO] ======================================================
+[2024-06-12 01:13:06,403 INFO] Epoch:18, Loss: 0.238, Time: 6.27, GPU: 1599.8MiB
+[2024-06-12 01:13:06,403 INFO] Epoch:18, Accuracy: 0.8456; F1: 0.8279; Recall: 0.8457; Precision: 0.8642; ROC AUC: 0.8278, MEMORY: 1599.8264, time: 8.2451
+[2024-06-12 01:13:12,705 INFO] ======================================================
+[2024-06-12 01:13:12,705 INFO] Epoch:19, Loss: 0.231, Time: 6.30, GPU: 1599.8MiB
+[2024-06-12 01:13:12,705 INFO] Epoch:19, Accuracy: 0.8463; F1: 0.8285; Recall: 0.8469; Precision: 0.8644; ROC AUC: 0.8283, MEMORY: 1599.8264, time: 9.4982
+[2024-06-12 01:13:14,472 INFO] ======================================================
+[2024-06-12 01:13:14,472 INFO] Epoch:20, Loss: 0.231, Time: 1.77, GPU: 1599.8MiB
+[2024-06-12 01:13:14,472 INFO] Epoch:20, Accuracy: 0.8463; F1: 0.8285; Recall: 0.8469; Precision: 0.8644; ROC AUC: 0.8283, MEMORY: 1599.8264, time: 9.4982
+[2024-06-12 01:13:14,472 INFO] >> Total time : 120.30
+[2024-06-12 01:13:14,472 INFO] >> Parameters: lr:0.0100 |Dim:2 |Window:5 |
+[2024-06-12 01:14:35,988 INFO] using model EGCN
+[2024-06-12 01:14:43,899 INFO] ======================================================
+[2024-06-12 01:14:43,899 INFO] Epoch:1, Loss: 0.699, Time: 6.21, GPU: 1597.7MiB
+[2024-06-12 01:14:43,899 INFO] Epoch:1, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1597.6909, time: 8.9073
+[2024-06-12 01:14:50,025 INFO] ======================================================
+[2024-06-12 01:14:50,025 INFO] Epoch:2, Loss: 0.630, Time: 6.13, GPU: 1599.8MiB
+[2024-06-12 01:14:50,041 INFO] Epoch:2, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.5578
+[2024-06-12 01:14:51,808 INFO] ======================================================
+[2024-06-12 01:14:51,808 INFO] Epoch:3, Loss: 0.746, Time: 1.77, GPU: 1599.8MiB
+[2024-06-12 01:14:51,808 INFO] Epoch:3, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1599.8264, time: 8.5578
+[2024-06-12 01:14:57,943 INFO] ======================================================
+[2024-06-12 01:14:57,943 INFO] Epoch:4, Loss: 0.600, Time: 6.13, GPU: 1602.3MiB
+[2024-06-12 01:14:57,943 INFO] Epoch:4, Accuracy: 0.6877; F1: 0.5434; Recall: 1.0000; Precision: 0.5248; ROC AUC: 0.5430, MEMORY: 1602.2769, time: 9.0157
+[2024-06-12 01:15:04,289 INFO] ======================================================
+[2024-06-12 01:15:04,289 INFO] Epoch:5, Loss: 0.549, Time: 6.35, GPU: 1602.3MiB
+[2024-06-12 01:15:04,289 INFO] Epoch:5, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1602.2769, time: 9.2098
+[2024-06-12 01:15:06,036 INFO] ======================================================
+[2024-06-12 01:15:06,036 INFO] Epoch:6, Loss: 0.593, Time: 1.75, GPU: 1602.3MiB
+[2024-06-12 01:15:06,036 INFO] Epoch:6, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1602.2769, time: 9.2098
+[2024-06-12 01:15:12,274 INFO] ======================================================
+[2024-06-12 01:15:12,274 INFO] Epoch:7, Loss: 0.525, Time: 6.24, GPU: 1602.3MiB
+[2024-06-12 01:15:12,274 INFO] Epoch:7, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1602.2769, time: 9.1518
+[2024-06-12 01:15:18,561 INFO] ======================================================
+[2024-06-12 01:15:18,561 INFO] Epoch:8, Loss: 0.480, Time: 6.29, GPU: 1602.3MiB
+[2024-06-12 01:15:18,561 INFO] Epoch:8, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1602.2769, time: 9.1947
+[2024-06-12 01:15:20,361 INFO] ======================================================
+[2024-06-12 01:15:20,361 INFO] Epoch:9, Loss: 0.600, Time: 1.80, GPU: 1602.3MiB
+[2024-06-12 01:15:20,361 INFO] Epoch:9, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1602.2769, time: 9.1947
+[2024-06-12 01:15:26,615 INFO] ======================================================
+[2024-06-12 01:15:26,615 INFO] Epoch:10, Loss: 0.421, Time: 6.25, GPU: 1602.3MiB
+[2024-06-12 01:15:26,615 INFO] Epoch:10, Accuracy: 0.6670; F1: 0.5005; Recall: 1.0000; Precision: 0.5005; ROC AUC: 0.5000, MEMORY: 1602.2769, time: 7.9788
+[2024-06-12 01:15:32,867 INFO] ======================================================
+[2024-06-12 01:15:32,867 INFO] Epoch:11, Loss: 0.350, Time: 6.25, GPU: 1602.3MiB
+[2024-06-12 01:15:32,867 INFO] Epoch:11, Accuracy: 0.8700; F1: 0.8471; Recall: 0.9330; Precision: 0.8308; ROC AUC: 0.8468, MEMORY: 1602.2769, time: 8.6090
+[2024-06-12 01:15:39,233 INFO] ======================================================
+[2024-06-12 01:15:39,233 INFO] Epoch:12, Loss: 0.330, Time: 6.37, GPU: 1602.3MiB
+[2024-06-12 01:15:39,233 INFO] Epoch:12, Accuracy: 0.7561; F1: 0.7553; Recall: 0.7183; Precision: 0.8294; ROC AUC: 0.7551, MEMORY: 1602.2769, time: 7.9067
+[2024-06-12 01:15:41,014 INFO] ======================================================
+[2024-06-12 01:15:41,014 INFO] Epoch:13, Loss: 0.337, Time: 1.78, GPU: 1602.3MiB
+[2024-06-12 01:15:41,014 INFO] Epoch:13, Accuracy: 0.7561; F1: 0.7553; Recall: 0.7183; Precision: 0.8294; ROC AUC: 0.7551, MEMORY: 1602.2769, time: 7.9067
+[2024-06-12 01:15:42,735 INFO] ======================================================
+[2024-06-12 01:15:42,735 INFO] Epoch:14, Loss: 0.352, Time: 1.72, GPU: 1602.3MiB
+[2024-06-12 01:15:42,735 INFO] Epoch:14, Accuracy: 0.7561; F1: 0.7553; Recall: 0.7183; Precision: 0.8294; ROC AUC: 0.7551, MEMORY: 1602.2769, time: 7.9067
+[2024-06-12 01:15:44,438 INFO] ======================================================
+[2024-06-12 01:15:44,438 INFO] Epoch:15, Loss: 0.357, Time: 1.70, GPU: 1602.3MiB
+[2024-06-12 01:15:44,438 INFO] Epoch:15, Accuracy: 0.7561; F1: 0.7553; Recall: 0.7183; Precision: 0.8294; ROC AUC: 0.7551, MEMORY: 1602.2769, time: 7.9067
+[2024-06-12 01:15:46,174 INFO] ======================================================
+[2024-06-12 01:15:46,174 INFO] Epoch:16, Loss: 0.357, Time: 1.74, GPU: 1602.3MiB
+[2024-06-12 01:15:46,174 INFO] Epoch:16, Accuracy: 0.7561; F1: 0.7553; Recall: 0.7183; Precision: 0.8294; ROC AUC: 0.7551, MEMORY: 1602.2769, time: 7.9067
+[2024-06-12 01:15:47,894 INFO] ======================================================
+[2024-06-12 01:15:47,894 INFO] Epoch:17, Loss: 0.345, Time: 1.72, GPU: 1602.3MiB
+[2024-06-12 01:15:47,894 INFO] Epoch:17, Accuracy: 0.7561; F1: 0.7553; Recall: 0.7183; Precision: 0.8294; ROC AUC: 0.7551, MEMORY: 1602.2769, time: 7.9067
+[2024-06-12 01:15:49,629 INFO] ======================================================
+[2024-06-12 01:15:49,629 INFO] Epoch:18, Loss: 0.330, Time: 1.73, GPU: 1602.3MiB
+[2024-06-12 01:15:49,629 INFO] Epoch:18, Accuracy: 0.7561; F1: 0.7553; Recall: 0.7183; Precision: 0.8294; ROC AUC: 0.7551, MEMORY: 1602.2769, time: 7.9067
+[2024-06-12 01:15:55,883 INFO] ======================================================
+[2024-06-12 01:15:55,883 INFO] Epoch:19, Loss: 0.315, Time: 6.25, GPU: 1602.3MiB
+[2024-06-12 01:15:55,883 INFO] Epoch:19, Accuracy: 0.8850; F1: 0.8613; Recall: 0.9520; Precision: 0.8421; ROC AUC: 0.8611, MEMORY: 1602.2769, time: 9.1100
+[2024-06-12 01:16:02,152 INFO] ======================================================
+[2024-06-12 01:16:02,152 INFO] Epoch:20, Loss: 0.303, Time: 6.27, GPU: 1602.3MiB
+[2024-06-12 01:16:02,152 INFO] Epoch:20, Accuracy: 0.8712; F1: 0.8489; Recall: 0.9238; Precision: 0.8408; ROC AUC: 0.8487, MEMORY: 1602.2769, time: 7.2333
+[2024-06-12 01:16:02,152 INFO] >> Total time : 84.46
+[2024-06-12 01:16:02,152 INFO] >> Parameters: lr:0.1000 |Dim:2 |Window:5 |
+[2024-06-12 01:17:01,748 INFO] using model EGCN
+[2024-06-12 01:17:09,898 INFO] ======================================================
+[2024-06-12 01:17:09,898 INFO] Epoch:1, Loss: 0.685, Time: 6.46, GPU: 1597.7MiB
+[2024-06-12 01:17:09,898 INFO] Epoch:1, Accuracy: 0.0220; F1: 0.5031; Recall: 0.0122; Precision: 0.2576; ROC AUC: 0.5036, MEMORY: 1597.6909, time: 8.2976
+[2024-06-12 01:17:11,680 INFO] ======================================================
+[2024-06-12 01:17:11,680 INFO] Epoch:2, Loss: 2.094, Time: 1.78, GPU: 1599.8MiB
+[2024-06-12 01:17:11,680 INFO] Epoch:2, Accuracy: 0.0220; F1: 0.5031; Recall: 0.0122; Precision: 0.2576; ROC AUC: 0.5036, MEMORY: 1597.6909, time: 8.2976
+[2024-06-12 01:17:13,432 INFO] ======================================================
+[2024-06-12 01:17:13,432 INFO] Epoch:3, Loss: 1.075, Time: 1.75, GPU: 1602.3MiB
+[2024-06-12 01:17:13,432 INFO] Epoch:3, Accuracy: 0.0220; F1: 0.5031; Recall: 0.0122; Precision: 0.2576; ROC AUC: 0.5036, MEMORY: 1597.6909, time: 8.2976
+[2024-06-12 01:17:15,152 INFO] ======================================================
+[2024-06-12 01:17:15,152 INFO] Epoch:4, Loss: 0.756, Time: 1.72, GPU: 1602.3MiB
+[2024-06-12 01:17:15,152 INFO] Epoch:4, Accuracy: 0.0220; F1: 0.5031; Recall: 0.0122; Precision: 0.2576; ROC AUC: 0.5036, MEMORY: 1597.6909, time: 8.2976
+[2024-06-12 01:17:16,903 INFO] ======================================================
+[2024-06-12 01:17:16,903 INFO] Epoch:5, Loss: 0.780, Time: 1.75, GPU: 1602.3MiB
+[2024-06-12 01:17:16,903 INFO] Epoch:5, Accuracy: 0.0220; F1: 0.5031; Recall: 0.0122; Precision: 0.2576; ROC AUC: 0.5036, MEMORY: 1597.6909, time: 8.2976
+[2024-06-12 01:17:18,654 INFO] ======================================================
+[2024-06-12 01:17:18,654 INFO] Epoch:6, Loss: 0.760, Time: 1.75, GPU: 1602.3MiB
+[2024-06-12 01:17:18,654 INFO] Epoch:6, Accuracy: 0.0220; F1: 0.5031; Recall: 0.0122; Precision: 0.2576; ROC AUC: 0.5036, MEMORY: 1597.6909, time: 8.2976
+[2024-06-12 01:17:20,404 INFO] ======================================================
+[2024-06-12 01:17:20,404 INFO] Epoch:7, Loss: 0.821, Time: 1.75, GPU: 1602.3MiB
+[2024-06-12 01:17:20,404 INFO] Epoch:7, Accuracy: 0.0220; F1: 0.5031; Recall: 0.0122; Precision: 0.2576; ROC AUC: 0.5036, MEMORY: 1597.6909, time: 8.2976
+[2024-06-12 01:17:22,202 INFO] ======================================================
+[2024-06-12 01:17:22,202 INFO] Epoch:8, Loss: 0.764, Time: 1.80, GPU: 1602.3MiB
+[2024-06-12 01:17:22,202 INFO] Epoch:8, Accuracy: 0.0220; F1: 0.5031; Recall: 0.0122; Precision: 0.2576; ROC AUC: 0.5036, MEMORY: 1597.6909, time: 8.2976
+[2024-06-12 01:17:23,935 INFO] ======================================================
+[2024-06-12 01:17:23,935 INFO] Epoch:9, Loss: 0.778, Time: 1.73, GPU: 1602.3MiB
+[2024-06-12 01:17:23,935 INFO] Epoch:9, Accuracy: 0.0220; F1: 0.5031; Recall: 0.0122; Precision: 0.2576; ROC AUC: 0.5036, MEMORY: 1597.6909, time: 8.2976
+[2024-06-12 01:17:25,687 INFO] ======================================================
+[2024-06-12 01:17:25,687 INFO] Epoch:10, Loss: 0.772, Time: 1.75, GPU: 1602.3MiB
+[2024-06-12 01:17:25,687 INFO] Epoch:10, Accuracy: 0.0220; F1: 0.5031; Recall: 0.0122; Precision: 0.2576; ROC AUC: 0.5036, MEMORY: 1597.6909, time: 8.2976
+[2024-06-12 01:17:31,896 INFO] ======================================================
+[2024-06-12 01:17:31,896 INFO] Epoch:11, Loss: 0.618, Time: 6.21, GPU: 1602.3MiB
+[2024-06-12 01:17:31,911 INFO] Epoch:11, Accuracy: 0.0442; F1: 0.2259; Recall: 0.0353; Precision: 0.0801; ROC AUC: 0.2261, MEMORY: 1602.2769, time: 8.1679
+[2024-06-12 01:17:38,240 INFO] ======================================================
+[2024-06-12 01:17:38,240 INFO] Epoch:12, Loss: 0.594, Time: 6.33, GPU: 1602.3MiB
+[2024-06-12 01:17:38,240 INFO] Epoch:12, Accuracy: 0.1380; F1: 0.2288; Recall: 0.1191; Precision: 0.2405; ROC AUC: 0.2289, MEMORY: 1602.2769, time: 9.7261
+[2024-06-12 01:17:44,480 INFO] ======================================================
+[2024-06-12 01:17:44,480 INFO] Epoch:13, Loss: 0.577, Time: 6.24, GPU: 1602.3MiB
+[2024-06-12 01:17:44,480 INFO] Epoch:13, Accuracy: 0.3466; F1: 0.4311; Recall: 0.2905; Precision: 0.4697; ROC AUC: 0.4310, MEMORY: 1602.2769, time: 8.9721
+[2024-06-12 01:17:50,750 INFO] ======================================================
+[2024-06-12 01:17:50,750 INFO] Epoch:14, Loss: 0.524, Time: 6.27, GPU: 1602.3MiB
+[2024-06-12 01:17:50,750 INFO] Epoch:14, Accuracy: 0.3330; F1: 0.4246; Recall: 0.2771; Precision: 0.4608; ROC AUC: 0.4247, MEMORY: 1602.2769, time: 8.8691
+[2024-06-12 01:17:57,003 INFO] ======================================================
+[2024-06-12 01:17:57,003 INFO] Epoch:15, Loss: 0.487, Time: 6.25, GPU: 1602.3MiB
+[2024-06-12 01:17:57,003 INFO] Epoch:15, Accuracy: 0.2744; F1: 0.4457; Recall: 0.1978; Precision: 0.6169; ROC AUC: 0.4458, MEMORY: 1602.2769, time: 8.6445
+[2024-06-12 01:17:58,786 INFO] ======================================================
+[2024-06-12 01:17:58,786 INFO] Epoch:16, Loss: 0.562, Time: 1.78, GPU: 1602.3MiB
+[2024-06-12 01:17:58,786 INFO] Epoch:16, Accuracy: 0.2744; F1: 0.4457; Recall: 0.1978; Precision: 0.6169; ROC AUC: 0.4458, MEMORY: 1602.2769, time: 8.6445
+[2024-06-12 01:18:00,538 INFO] ======================================================
+[2024-06-12 01:18:00,538 INFO] Epoch:17, Loss: 0.571, Time: 1.75, GPU: 1602.3MiB
+[2024-06-12 01:18:00,538 INFO] Epoch:17, Accuracy: 0.2744; F1: 0.4457; Recall: 0.1978; Precision: 0.6169; ROC AUC: 0.4458, MEMORY: 1602.2769, time: 8.6445
+[2024-06-12 01:18:06,851 INFO] ======================================================
+[2024-06-12 01:18:06,851 INFO] Epoch:18, Loss: 0.480, Time: 6.31, GPU: 1602.3MiB
+[2024-06-12 01:18:06,851 INFO] Epoch:18, Accuracy: 0.2999; F1: 0.4145; Recall: 0.2418; Precision: 0.4490; ROC AUC: 0.4145, MEMORY: 1602.2769, time: 9.6574
+[2024-06-12 01:18:13,088 INFO] ======================================================
+[2024-06-12 01:18:13,088 INFO] Epoch:19, Loss: 0.475, Time: 6.24, GPU: 1602.3MiB
+[2024-06-12 01:18:13,088 INFO] Epoch:19, Accuracy: 0.2725; F1: 0.2317; Recall: 0.2760; Precision: 0.3162; ROC AUC: 0.2318, MEMORY: 1602.2769, time: 9.0611
+[2024-06-12 01:18:19,472 INFO] ======================================================
+[2024-06-12 01:18:19,472 INFO] Epoch:20, Loss: 0.426, Time: 6.38, GPU: 1602.3MiB
+[2024-06-12 01:18:19,472 INFO] Epoch:20, Accuracy: 0.2056; F1: 0.1993; Recall: 0.1982; Precision: 0.2771; ROC AUC: 0.1995, MEMORY: 1602.2769, time: 9.5639
+[2024-06-12 01:18:19,472 INFO] >> Total time : 76.03
+[2024-06-12 01:18:19,472 INFO] >> Parameters: lr:0.3000 |Dim:2 |Window:5 |
diff --git a/HTGN/data/output/log/ddos2019/HTGN/ddos2019.txt b/HTGN/data/output/log/ddos2019/HTGN/ddos2019.txt
new file mode 100644
index 0000000000000000000000000000000000000000..632b86026bf49333682647b543b70144c35d26eb
--- /dev/null
+++ b/HTGN/data/output/log/ddos2019/HTGN/ddos2019.txt
@@ -0,0 +1,6 @@
+[2024-06-08 23:47:43,098 INFO] using model HTGN
+[2024-06-08 23:48:02,582 INFO] using model HTGN
+[2024-06-10 01:22:21,406 INFO] using model HTGN
+[2024-06-10 01:23:34,912 INFO] using model HTGN
+[2024-06-11 16:40:55,678 INFO] using model HTGN
+[2024-06-11 16:41:30,465 INFO] using model HTGN
diff --git a/HTGN/hgcn/__init__.py b/HTGN/hgcn/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/HTGN/hgcn/layers/__init__.py b/HTGN/hgcn/layers/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/HTGN/hgcn/layers/hyplayers.py b/HTGN/hgcn/layers/hyplayers.py
new file mode 100644
index 0000000000000000000000000000000000000000..77de1b10c1554994a97e994f01e7db1966052c84
--- /dev/null
+++ b/HTGN/hgcn/layers/hyplayers.py
@@ -0,0 +1,337 @@
+"""Hyperbolic layers."""
+import math
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+from torch.nn.modules.module import Module
+from torch_geometric.utils import add_remaining_self_loops, remove_self_loops, softmax, add_self_loops
+from torch_scatter import scatter, scatter_add
+from torch_geometric.nn.conv import MessagePassing, GATConv
+from torch.nn.parameter import Parameter
+from torch_geometric.nn.inits import glorot, zeros
+from HTGN.hgcn.manifolds import PoincareBall
+import itertools
+
+
+class HGATConv(nn.Module):
+ """
+ Hyperbolic graph convolution layer.。
+ """
+
+ def __init__(self, manifold, in_features, out_features, c_in, c_out, act=F.leaky_relu,
+ dropout=0.6, att_dropout=0.6, use_bias=True, heads=2, concat=False):
+ super(HGATConv, self).__init__()
+ out_features = out_features * heads
+ self.linear = HypLinear(manifold, in_features, out_features, c_in, dropout=dropout, use_bias=use_bias)
+ self.agg = HypAttAgg(manifold, c_in, out_features, att_dropout, heads=heads, concat=concat)
+ self.hyp_act = HypAct(manifold, c_in, c_out, act)
+ self.manifold = manifold
+ self.c_in = c_in
+
+ def forward(self, x, edge_index):
+ h = self.linear.forward(x)
+ h = self.agg.forward(h, edge_index)
+ h = self.hyp_act.forward(h)
+ return h
+
+
+class HGCNConv(nn.Module):
+ """
+ Hyperbolic graph convolution layer, from hgcn。
+ """
+
+ def __init__(self, manifold, in_features, out_features, c_in=1.0, c_out=1.0, dropout=0.6, act=F.leaky_relu,
+ use_bias=True):
+ super(HGCNConv, self).__init__()
+ self.linear = HypLinear(manifold, in_features, out_features, c_in, dropout=dropout)
+ self.agg = HypAgg(manifold, c_in, out_features, bias=use_bias)
+ self.hyp_act = HypAct(manifold, c_in, c_out, act)
+ self.manifold = manifold
+ self.c_in = c_in
+
+ def forward(self, x, edge_index):
+ h = self.linear.forward(x)
+ h = self.agg.forward(h, edge_index)
+ h = self.hyp_act.forward(h)
+ return h
+
+
+class HypLinear(nn.Module):
+ """
+ Hyperbolic linear layer.
+ """
+
+ def __init__(self, manifold, in_features, out_features, c, dropout=0.6, use_bias=True):
+ super(HypLinear, self).__init__()
+ self.manifold = manifold
+ self.in_features = in_features
+ self.out_features = out_features
+ self.c = c
+ self.dropout = dropout
+ self.use_bias = use_bias
+ self.bias = nn.Parameter(torch.Tensor(out_features), requires_grad=True)
+ self.weight = nn.Parameter(torch.Tensor(out_features, in_features), requires_grad=True)
+ self.reset_parameters()
+
+ def reset_parameters(self):
+ glorot(self.weight)
+ zeros(self.bias)
+
+ def forward(self, x):
+ drop_weight = F.dropout(self.weight, p=self.dropout, training=self.training)
+ mv = self.manifold.mobius_matvec(drop_weight, x, self.c)
+ res = self.manifold.proj(mv, self.c)
+ if self.use_bias:
+ bias = self.manifold.proj_tan0(self.bias.view(1, -1), self.c)
+ hyp_bias = self.manifold.expmap0(bias, self.c)
+ hyp_bias = self.manifold.proj(hyp_bias, self.c)
+ res = self.manifold.mobius_add(res, hyp_bias, c=self.c)
+ res = self.manifold.proj(res, self.c)
+ return res
+
+ def extra_repr(self):
+ return 'in_features={}, out_features={}, c={}'.format(
+ self.in_features, self.out_features, self.c
+ )
+
+
+class HypAct(Module):
+ """
+ Hyperbolic activation layer.
+ """
+
+ def __init__(self, manifold, c_in, c_out, act):
+ super(HypAct, self).__init__()
+ self.manifold = manifold
+ self.c_in = c_in
+ self.c_out = c_out
+ self.act = act
+
+ def forward(self, x):
+ xt = self.act(self.manifold.logmap0(x, c=self.c_in))
+ xt = self.manifold.proj_tan0(xt, c=self.c_out)
+ return self.manifold.proj(self.manifold.expmap0(xt, c=self.c_out), c=self.c_out)
+
+ def extra_repr(self):
+ return 'c_in={}, c_out={}'.format(
+ self.c_in, self.c_out
+ )
+
+
+class HypAggAtt(MessagePassing):
+ """
+ Hyperbolic aggregation layer using degree.
+ """
+
+ def __init__(self, manifold, c, out_features, bias=True):
+ super(HypAggAtt, self).__init__()
+ self.manifold = manifold
+ self.c = c
+ self.use_bias = bias
+ self.mlp = nn.Sequential(nn.Linear(out_features * 2, 1))
+
+ def forward(self, x, edge_index=None):
+ x_tangent = self.manifold.logmap0(x, c=self.c)
+
+ edge_index, _ = remove_self_loops(edge_index)
+ edge_index, _ = add_self_loops(edge_index,
+ num_nodes=x[1].size(self.node_dim))
+
+ edge_i = edge_index[0]
+ edge_j = edge_index[1]
+ x_j = torch.nn.functional.embedding(edge_j, x_tangent)
+ x_i = torch.nn.functional.embedding(edge_i, x_tangent)
+
+ norm = self.mlp(torch.cat([x_i, x_j], dim=1))
+ norm = softmax(norm, edge_i, x_i.size(0)).view(-1, 1)
+ support = norm.view(-1, 1) * x_j
+ support_t_curv = scatter(support, edge_i, dim=0, dim_size=x.size(0)) # aggregate the neighbors of node_i
+ output = self.manifold.proj(self.manifold.expmap0(support_t_curv, c=self.c), c=self.c)
+ return output
+
+ def extra_repr(self):
+ return 'c={}'.format(self.c)
+
+
+class HypAgg(MessagePassing):
+ """
+ Hyperbolic aggregation layer using degree.
+ """
+
+ def __init__(self, manifold, c, out_features, bias=True):
+ super(HypAgg, self).__init__()
+ self.manifold = manifold
+ self.manifold = PoincareBall()
+ self.c = c
+ self.use_bias = bias
+ if bias:
+ self.bias = Parameter(torch.Tensor(out_features))
+ else:
+ self.register_parameter('bias', None)
+ zeros(self.bias)
+ self.mlp = nn.Sequential(nn.Linear(out_features * 2, 1))
+
+ @staticmethod
+ def norm(edge_index, num_nodes, edge_weight=None, improved=False, dtype=None):
+ if edge_weight is None:
+ edge_weight = torch.ones((edge_index.size(1),), dtype=dtype,
+ device=edge_index.device)
+
+ fill_value = 1 if not improved else 2
+ edge_index, edge_weight = add_remaining_self_loops(
+ edge_index, edge_weight, fill_value, num_nodes)
+
+ row, col = edge_index
+ deg = scatter_add(edge_weight, row, dim=0, dim_size=num_nodes)
+ deg_inv_sqrt = deg.pow(-0.5)
+ deg_inv_sqrt[deg_inv_sqrt == float('inf')] = 0
+
+ return edge_index, deg_inv_sqrt[row] * edge_weight * deg_inv_sqrt[col]
+
+ def forward(self, x, edge_index=None):
+ x_tangent = self.manifold.logmap0(x, c=self.c)
+ edge_index, norm = self.norm(edge_index, x.size(0), dtype=x.dtype)
+ node_i = edge_index[0]
+ node_j = edge_index[1]
+ x_j = torch.nn.functional.embedding(node_j, x_tangent)
+ support = norm.view(-1, 1) * x_j
+ support_t = scatter(support, node_i, dim=0, dim_size=x.size(0)) # aggregate the neighbors of node_i
+ output = self.manifold.proj(self.manifold.expmap0(support_t, c=self.c), c=self.c)
+ return output
+
+ def extra_repr(self):
+ return 'c={}'.format(self.c)
+
+
+class HypAttAgg(MessagePassing):
+ def __init__(self, manifold, c, out_features, att_dropout=0.6, heads=1, concat=False):
+ super(HypAttAgg, self).__init__()
+ self.manifold = manifold
+ self.dropout = att_dropout
+ self.out_channels = out_features // heads
+ self.negative_slope = 0.2
+ self.heads = heads
+ self.c = c
+ self.concat = concat
+ self.att_i = Parameter(torch.Tensor(1, heads, self.out_channels), requires_grad=True)
+ self.att_j = Parameter(torch.Tensor(1, heads, self.out_channels), requires_grad=True)
+ glorot(self.att_i)
+ glorot(self.att_j)
+
+ def forward(self, x, edge_index):
+ edge_index, _ = remove_self_loops(edge_index)
+ edge_index, _ = add_self_loops(edge_index,
+ num_nodes=x.size(self.node_dim))
+
+ edge_index_i = edge_index[0]
+ edge_index_j = edge_index[1]
+
+ x_tangent0 = self.manifold.logmap0(x, c=self.c) # project to origin
+ x_i = torch.nn.functional.embedding(edge_index_i, x_tangent0)
+ x_j = torch.nn.functional.embedding(edge_index_j, x_tangent0)
+ x_i = x_i.view(-1, self.heads, self.out_channels)
+ x_j = x_j.view(-1, self.heads, self.out_channels)
+
+ alpha = (x_i * self.att_i).sum(-1) + (x_j * self.att_j).sum(-1)
+
+ alpha = F.leaky_relu(alpha, self.negative_slope)
+ alpha = softmax(alpha, edge_index_i, num_nodes=x_i.size(0))
+ alpha = F.dropout(alpha, self.dropout, training=self.training)
+ support_t = scatter(x_j * alpha.view(-1, self.heads, 1), edge_index_i, dim=0)
+
+ if self.concat:
+ support_t = support_t.view(-1, self.heads * self.out_channels)
+ else:
+ support_t = support_t.mean(dim=1)
+ support_t = self.manifold.proj(self.manifold.expmap0(support_t, c=self.c), c=self.c)
+
+ return support_t
+
+ '''
+ def forward(self, x, edge_index):
+ x_tangent0 = self.manifold.logmap0(x, c=self.c) # project to origin
+ out = self.propagate(edge_index, x=x_tangent0, num_nodes=x.size(0),original_x=x)
+ if self.concat:
+ out = out.view(-1, self.heads * self.out_channels)
+ else:
+ out = out.mean(dim=1)
+ out = self.manifold.proj(self.manifold.expmap0(out, c=self.c), c=self.c)
+ return out
+ def message(self, edge_index_i, x_i, x_j, num_nodes,original_x_i, original_x_j):
+ x_i = x_i.view(-1, self.heads, self.out_channels)
+ x_j = x_j.view(-1, self.heads, self.out_channels)
+ alpha = (x_i * self.att_i).sum(-1) + (x_j * self.att_j).sum(-1)
+ if False: # Compute distance
+ dist = self.manifold.dist(original_x_i, original_x_j, self.c)
+ dist = softmax(dist, edge_index_i, num_nodes).reshape(-1, 1)
+ alpha = alpha * dist
+
+ alpha = F.leaky_relu(alpha, self.negative_slope)
+ alpha = softmax(alpha, edge_index_i, num_nodes)
+ alpha = F.dropout(alpha, p=self.dropout, training=self.training)
+
+ return x_j * alpha.view(-1, self.heads, 1)
+ '''
+
+
+# refer to: https://github.com/ferrine/hyrnn/blob/master/hyrnn/nets.py
+class HypGRU(nn.Module):
+ def __init__(self, args):
+ super(HypGRU, self).__init__()
+ self.manifold = PoincareBall()
+ self.nhid = args.nhid
+ self.weight_ih = Parameter(torch.Tensor(3 * args.nhid, args.nhid), requires_grad=True).to(args.device)
+ self.weight_hh = Parameter(torch.Tensor(3 * args.nhid, args.nhid), requires_grad=True).to(args.device)
+ if args.bias:
+ bias = nn.Parameter(torch.zeros(3, args.nhid) * 1e-5, requires_grad=False)
+ self.bias = self.manifold.expmap0(bias).to(args.device)
+ else:
+ self.register_buffer("bias", None)
+ self.reset_parameters()
+
+ def reset_parameters(self):
+ stdv = 1.0 / math.sqrt(self.nhid)
+ for weight in itertools.chain.from_iterable([self.weight_ih, self.weight_hh]):
+ torch.nn.init.uniform_(weight, -stdv, stdv)
+
+ def forward(self, hyperx, hyperh):
+ out = self.mobius_gru_cell(hyperx, hyperh, self.weight_ih, self.weight_hh, self.bias)
+ return out
+
+ def mobius_gru_cell(self, input, hx, weight_ih, weight_hh, bias, nonlin=None, ):
+ W_ir, W_ih, W_iz = weight_ih.chunk(3)
+ b_r, b_h, b_z = bias
+ W_hr, W_hh, W_hz = weight_hh.chunk(3)
+
+ z_t = self.manifold.logmap0(self.one_rnn_transform(W_hz, hx, W_iz, input, b_z)).sigmoid()
+ r_t = self.manifold.logmap0(self.one_rnn_transform(W_hr, hx, W_ir, input, b_r)).sigmoid()
+
+ rh_t = self.manifold.mobius_pointwise_mul(r_t, hx)
+ h_tilde = self.one_rnn_transform(W_hh, rh_t, W_ih, input, b_h)
+
+ if nonlin is not None:
+ h_tilde = self.manifold.mobius_fn_apply(nonlin, h_tilde)
+ delta_h = self.manifold.mobius_add(-hx, h_tilde)
+ h_out = self.manifold.mobius_add(hx, self.manifold.mobius_pointwise_mul(z_t, delta_h))
+ return h_out
+
+ def one_rnn_transform(self, W, h, U, x, b):
+ W_otimes_h = self.manifold.mobius_matvec(W, h)
+ U_otimes_x = self.manifold.mobius_matvec(U, x)
+ Wh_plus_Ux = self.manifold.mobius_add(W_otimes_h, U_otimes_x)
+ return self.manifold.mobius_add(Wh_plus_Ux, b)
+
+ def mobius_linear(self, input, weight, bias=None, hyperbolic_input=True, hyperbolic_bias=True, nonlin=None):
+ if hyperbolic_input:
+ output = self.manifold.mobius_matvec(weight, input)
+ else:
+ output = torch.nn.functional.linear(input, weight)
+ output = self.manifold.expmap0(output)
+ if bias is not None:
+ if not hyperbolic_bias:
+ bias = self.manifold.expmap0(bias)
+ output = self.manifold.mobius_add(output, bias)
+ if nonlin is not None:
+ output = self.manifold.mobius_fn_apply(nonlin, output)
+ output = self.manifold.project(output)
+ return output
diff --git a/HTGN/hgcn/layers/layers.py b/HTGN/hgcn/layers/layers.py
new file mode 100644
index 0000000000000000000000000000000000000000..11d51f2c2c081ed6157cb2f44b2364f1793da98c
--- /dev/null
+++ b/HTGN/hgcn/layers/layers.py
@@ -0,0 +1,87 @@
+"""Euclidean layers."""
+import math
+
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+from torch.nn.modules.module import Module
+
+
+def get_dim_act(args):
+ """
+ Helper function to get dimension and activation at every layer.
+ :param args:
+ :return:
+ """
+ if not args.act:
+ act = lambda x: x
+ else:
+ act = getattr(F, args.act)
+ acts = [act] * (args.num_layers - 1)
+ dims = [args.feat_dim] + ([args.dim] * (args.num_layers - 1))
+ if args.task in ['lp', 'rec']:
+ dims += [args.dim]
+ acts += [act]
+ return dims, acts
+
+
+class GraphConvolution(Module):
+ """
+ Simple GCN layer.
+ """
+
+ def __init__(self, in_features, out_features, dropout, act, use_bias):
+ super(GraphConvolution, self).__init__()
+ self.dropout = dropout
+ self.linear = nn.Linear(in_features, out_features, use_bias)
+ self.act = act
+ self.in_features = in_features
+ self.out_features = out_features
+
+ def forward(self, input):
+ x, adj = input
+ hidden = self.linear.forward(x)
+ hidden = F.dropout(hidden, self.dropout, training=self.training)
+ if adj.is_sparse:
+ support = torch.spmm(adj, hidden)
+ else:
+ support = torch.mm(adj, hidden)
+ output = self.act(support), adj
+ return output
+
+ def extra_repr(self):
+ return 'input_dim={}, output_dim={}'.format(
+ self.in_features, self.out_features
+ )
+
+
+class Linear(Module):
+ """
+ Simple Linear layer with dropout.
+ """
+
+ def __init__(self, in_features, out_features, dropout, act, use_bias):
+ super(Linear, self).__init__()
+ self.dropout = dropout
+ self.linear = nn.Linear(in_features, out_features, use_bias)
+ self.act = act
+
+ def forward(self, x):
+ hidden = self.linear.forward(x)
+ hidden = F.dropout(hidden, self.dropout, training=self.training)
+ out = self.act(hidden)
+ return out
+
+
+class FermiDiracDecoder(Module):
+ """Fermi Dirac to compute edge probabilities based on distances."""
+
+ def __init__(self, r, t):
+ super(FermiDiracDecoder, self).__init__()
+ self.r = r
+ self.t = t
+
+ def forward(self, dist):
+ probs = 1. / (torch.exp((dist - self.r) / self.t) + 1.0)
+ return probs
+
diff --git a/HTGN/hgcn/manifolds/__init__.py b/HTGN/hgcn/manifolds/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..3ef8841fab0d06d057c286c9d9ac488b8423f976
--- /dev/null
+++ b/HTGN/hgcn/manifolds/__init__.py
@@ -0,0 +1,4 @@
+from .base import ManifoldParameter
+from .euclidean import Euclidean
+from .poincare import PoincareBall
+
diff --git a/HTGN/hgcn/manifolds/base.py b/HTGN/hgcn/manifolds/base.py
new file mode 100644
index 0000000000000000000000000000000000000000..925d4a6b2a59dae47a3a8ca33a7dcdcb20e0f08e
--- /dev/null
+++ b/HTGN/hgcn/manifolds/base.py
@@ -0,0 +1,88 @@
+"""Base manifold."""
+
+from torch.nn import Parameter
+
+
+class Manifold(object):
+ """
+ Abstract class to define operations on a manifold.
+ """
+
+ def __init__(self):
+ super().__init__()
+ self.eps = 10e-8
+
+ def sqdist(self, p1, p2, c):
+ """Squared distance between pairs of points."""
+ raise NotImplementedError
+
+ def egrad2rgrad(self, p, dp, c):
+ """Converts Euclidean Gradient to Riemannian Gradients."""
+ raise NotImplementedError
+
+ def proj(self, p, c):
+ """Projects point p on the manifold."""
+ raise NotImplementedError
+
+ def proj_tan(self, u, p, c):
+ """Projects u on the tangent space of p."""
+ raise NotImplementedError
+
+ def proj_tan0(self, u, c):
+ """Projects u on the tangent space of the origin."""
+ raise NotImplementedError
+
+ def expmap(self, u, p, c):
+ """Exponential map of u at point p."""
+ raise NotImplementedError
+
+ def logmap(self, p1, p2, c):
+ """Logarithmic map of point p1 at point p2."""
+ raise NotImplementedError
+
+ def expmap0(self, u, c):
+ """Exponential map of u at the origin."""
+ raise NotImplementedError
+
+ def logmap0(self, p, c):
+ """Logarithmic map of point p at the origin."""
+ raise NotImplementedError
+
+ def mobius_add(self, x, y, c, dim=-1):
+ """Adds points x and y."""
+ raise NotImplementedError
+
+ def mobius_matvec(self, m, x, c):
+ """Performs hyperboic martrix-vector multiplication."""
+ raise NotImplementedError
+
+ def init_weights(self, w, c, irange=1e-5):
+ """Initializes random weigths on the manifold."""
+ raise NotImplementedError
+
+ def inner(self, p, c, u, v=None, keepdim=False):
+ """Inner product for tangent vectors at point x."""
+ raise NotImplementedError
+
+ def ptransp(self, x, y, u, c):
+ """Parallel transport of u from x to y."""
+ raise NotImplementedError
+
+ def ptransp0(self, x, u, c):
+ """Parallel transport of u from the origin to y."""
+ raise NotImplementedError
+
+
+class ManifoldParameter(Parameter):
+ """
+ Subclass of torch.nn.Parameter for Riemannian optimization.
+ """
+ def __new__(cls, data, requires_grad, manifold, c):
+ return Parameter.__new__(cls, data, requires_grad)
+
+ def __init__(self, data, requires_grad, manifold, c):
+ self.c = c
+ self.manifold = manifold
+
+ def __repr__(self):
+ return '{} Parameter containing:\n'.format(self.manifold.name) + super(Parameter, self).__repr__()
diff --git a/HTGN/hgcn/manifolds/euclidean.py b/HTGN/hgcn/manifolds/euclidean.py
new file mode 100644
index 0000000000000000000000000000000000000000..e60f63cd3d18e042276d8dc680924a7949e54724
--- /dev/null
+++ b/HTGN/hgcn/manifolds/euclidean.py
@@ -0,0 +1,67 @@
+"""Euclidean manifold."""
+
+from HTGN.hgcn.manifolds.base import Manifold
+
+
+class Euclidean(Manifold):
+ """
+ Euclidean Manifold class.
+ """
+
+ def __init__(self):
+ super(Euclidean, self).__init__()
+ self.name = 'Euclidean'
+
+ def normalize(self, p):
+ dim = p.size(-1)
+ p.view(-1, dim).renorm_(2, 0, 1.)
+ return p
+
+ def sqdist(self, p1, p2, c):
+ return (p1 - p2).pow(2).sum(dim=-1)
+
+ def egrad2rgrad(self, p, dp, c):
+ return dp
+
+ def proj(self, p, c):
+ return p
+
+ def proj_tan(self, u, p, c):
+ return u
+
+ def proj_tan0(self, u, c):
+ return u
+
+ def expmap(self, u, p, c):
+ return p + u
+
+ def logmap(self, p1, p2, c):
+ return p2 - p1
+
+ def expmap0(self, u, c):
+ return u
+
+ def logmap0(self, p, c):
+ return p
+
+ def mobius_add(self, x, y, c, dim=-1):
+ return x + y
+
+ def mobius_matvec(self, m, x, c):
+ mx = x @ m.transpose(-1, -2)
+ return mx
+
+ def init_weights(self, w, c, irange=1e-5):
+ w.data.uniform_(-irange, irange)
+ return w
+
+ def inner(self, p, c, u, v=None, keepdim=False):
+ if v is None:
+ v = u
+ return (u * v).sum(dim=-1, keepdim=keepdim)
+
+ def ptransp(self, x, y, v, c):
+ return v
+
+ def ptransp0(self, x, v, c):
+ return x + v
diff --git a/HTGN/hgcn/manifolds/poincare.py b/HTGN/hgcn/manifolds/poincare.py
new file mode 100644
index 0000000000000000000000000000000000000000..a85fa05a013f87d9251c93683c771dbbd7909478
--- /dev/null
+++ b/HTGN/hgcn/manifolds/poincare.py
@@ -0,0 +1,152 @@
+"""Poincare ball manifold."""
+
+import torch
+from HTGN.hgcn.manifolds.base import Manifold
+from HTGN.hgcn.utils.math_utils import artanh, tanh
+
+
+class PoincareBall(Manifold):
+ """
+ PoicareBall Manifold class.
+
+ We use the following convention: x0^2 + x1^2 + ... + xd^2 < 1 / c
+
+ Note that 1/sqrt(c) is the Poincare ball radius.
+
+ """
+
+ def __init__(self, ):
+ super(PoincareBall, self).__init__()
+ self.name = 'PoincareBall'
+ self.min_norm = 1e-15
+ self.eps = {torch.float32: 4e-3, torch.float64: 1e-5}
+
+ def sqdist(self, p1, p2, c):
+ sqrt_c = c ** 0.5
+ dist_c = artanh(
+ sqrt_c * self.mobius_add(-p1, p2, c, dim=-1).norm(dim=-1, p=2, keepdim=False)
+ )
+ dist = dist_c * 2 / sqrt_c
+ return dist ** 2
+
+ def dist0(self, p1, c, keepdim=False):
+ sqrt_c = c ** 0.5
+ dist_c = artanh(
+ sqrt_c * p1.norm(dim=-1, p=2, keepdim=keepdim)
+ )
+ dist = dist_c * 2 / sqrt_c
+ return dist
+
+ def _lambda_x(self, x, c):
+ x_sqnorm = torch.sum(x.data.pow(2), dim=-1, keepdim=True)
+ return 2 / (1. - c * x_sqnorm).clamp_min(self.min_norm)
+
+ def egrad2rgrad(self, p, dp, c):
+ lambda_p = self._lambda_x(p, c)
+ dp /= lambda_p.pow(2)
+ return dp
+
+ def proj(self, x, c):
+ norm = torch.clamp_min(x.norm(dim=-1, keepdim=True, p=2), self.min_norm)
+ maxnorm = torch.tensor((1 - self.eps[x.dtype]) / (c ** 0.5)).to(norm.device)
+ cond = norm > maxnorm
+ projected = x / norm * maxnorm
+ return torch.where(cond, projected, x)
+
+ def proj_tan(self, u, p, c):
+ return u
+
+ def proj_tan0(self, u, c):
+ return u
+
+ def expmap(self, u, p, c):
+ sqrt_c = c ** 0.5
+ u_norm = u.norm(dim=-1, p=2, keepdim=True).clamp_min(self.min_norm)
+ second_term = (
+ tanh(sqrt_c / 2 * self._lambda_x(p, c) * u_norm)
+ * u
+ / (sqrt_c * u_norm)
+ )
+ gamma_1 = self.mobius_add(p, second_term, c)
+ return gamma_1
+
+ def logmap(self, p1, p2, c):
+ sub = self.mobius_add(-p1, p2, c)
+ sub_norm = sub.norm(dim=-1, p=2, keepdim=True).clamp_min(self.min_norm)
+ lam = self._lambda_x(p1, c)
+ sqrt_c = c ** 0.5
+ return 2 / sqrt_c / lam * artanh(sqrt_c * sub_norm) * sub / sub_norm
+
+ def expmap0(self, u, c):
+ u_norm = torch.clamp_min(u.norm(dim=-1, p=2, keepdim=True), self.min_norm)
+ sqrt_c = torch.tensor(c ** 0.5).to(u_norm.device)
+ gamma_1 = tanh(sqrt_c * u_norm) * u / (sqrt_c * u_norm)
+ return gamma_1
+
+ def logmap0(self, p, c):
+ p_norm = p.norm(dim=-1, p=2, keepdim=True).clamp_min(self.min_norm)
+ sqrt_c = torch.tensor(c ** 0.5).to(p_norm.device)
+ scale = 1. / sqrt_c * artanh(sqrt_c * p_norm) / p_norm
+ return scale * p
+
+ def mobius_add(self, x, y, c, dim=-1):
+ x2 = x.pow(2).sum(dim=dim, keepdim=True)
+ y2 = y.pow(2).sum(dim=dim, keepdim=True)
+ xy = (x * y).sum(dim=dim, keepdim=True)
+ cc = torch.tensor(c).to(x2.device)
+ num = (1 + 2 * cc * xy + cc * y2) * x + (1 - cc * x2) * y
+ denom = 1 + 2 * cc * xy + cc ** 2 * x2 * y2
+ return num / denom.clamp_min(self.min_norm)
+
+ def mobius_matvec(self, m, x, c):
+ x_norm = x.norm(dim=-1, keepdim=True, p=2).clamp_min(self.min_norm)
+ sqrt_c = torch.tensor(c ** 0.5).to(x_norm.device)
+ mx = x @ m.transpose(-1, -2)
+ mx_norm = mx.norm(dim=-1, keepdim=True, p=2).clamp_min(self.min_norm)
+ res_c = tanh(mx_norm / x_norm * artanh(sqrt_c * x_norm)) * mx / (mx_norm * sqrt_c)
+ cond = (mx == 0).prod(-1, keepdim=True, dtype=torch.uint8)
+ res_0 = torch.zeros(1, dtype=res_c.dtype, device=res_c.device)
+ res = torch.where(cond, res_0, res_c)
+ return res
+
+ def init_weights(self, w, c, irange=1e-5):
+ w.data.uniform_(-irange, irange)
+ return w
+
+ def _gyration(self, u, v, w, c, dim: int = -1):
+ u2 = u.pow(2).sum(dim=dim, keepdim=True)
+ v2 = v.pow(2).sum(dim=dim, keepdim=True)
+ uv = (u * v).sum(dim=dim, keepdim=True)
+ uw = (u * w).sum(dim=dim, keepdim=True)
+ vw = (v * w).sum(dim=dim, keepdim=True)
+ c2 = c ** 2
+ a = -c2 * uw * v2 + c * vw + 2 * c2 * uv * vw
+ b = -c2 * vw * u2 - c * uw
+ d = 1 + 2 * c * uv + c2 * u2 * v2
+ return w + 2 * (a * u + b * v) / d.clamp_min(self.min_norm)
+
+ def inner(self, x, c, u, v=None, keepdim=False):
+ if v is None:
+ v = u
+ lambda_x = self._lambda_x(x, c)
+ return lambda_x ** 2 * (u * v).sum(dim=-1, keepdim=keepdim)
+
+ def ptransp(self, x, y, u, c):
+ lambda_x = self._lambda_x(x, c)
+ lambda_y = self._lambda_x(y, c)
+ return self._gyration(y, -x, u, c) * lambda_x / lambda_y
+
+ def ptransp_(self, x, y, u, c):
+ lambda_x = self._lambda_x(x, c)
+ lambda_y = self._lambda_x(y, c)
+ return self._gyration(y, -x, u, c) * lambda_x / lambda_y
+
+ def ptransp0(self, x, u, c):
+ lambda_x = self._lambda_x(x, c)
+ return 2 * u / lambda_x.clamp_min(self.min_norm)
+
+ def to_hyperboloid(self, x, c):
+ K = 1. / c
+ sqrtK = K ** 0.5
+ sqnorm = torch.norm(x, p=2, dim=1, keepdim=True) ** 2
+ return sqrtK * torch.cat([K + sqnorm, 2 * sqrtK * x], dim=1) / (K - sqnorm)
diff --git a/HTGN/hgcn/utils/__init__.py b/HTGN/hgcn/utils/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/HTGN/hgcn/utils/data_loader.py b/HTGN/hgcn/utils/data_loader.py
new file mode 100644
index 0000000000000000000000000000000000000000..452d57798b9aad7a23bec46543e1c180de06dc4f
--- /dev/null
+++ b/HTGN/hgcn/utils/data_loader.py
@@ -0,0 +1,79 @@
+from sklearn.model_selection import train_test_split
+from torch_geometric.data import Data
+import numpy as np
+import torch
+import torch_geometric.transforms as T
+import os
+
+
+def read_label(dir, task='node_classification'):
+ if task == 'node_classification':
+ f_path = dir + os.sep + 'labels.txt'
+ fin_labels = open(f_path)
+ labels = []
+ node_id_mapping = dict()
+ for new_id, line in enumerate(fin_labels.readlines()):
+ old_id, label = line.strip().split()
+ labels.append(int(label))
+ node_id_mapping[old_id] = new_id
+ fin_labels.close()
+ else:
+ labels = None
+ nodes = []
+ with open(dir + os.sep + 'edges.txt') as ef:
+ for line in ef.readlines():
+ nodes.extend(line.strip().split()[:2])
+ nodes = sorted(list(set(nodes)))
+ node_id_mapping = {old_id: new_id for new_id, old_id in enumerate(nodes)}
+ return labels, node_id_mapping
+
+
+def read_edges(dir, node_id_mapping):
+ edges = []
+ fin_edges = open(dir + os.sep + 'edges.txt')
+ for line in fin_edges.readlines():
+ node1, node2 = line.strip().split()[:2]
+ edges.append([node_id_mapping[node1], node_id_mapping[node2]])
+ fin_edges.close()
+ return edges
+
+
+def split_dataset(n_samples, val_ratio, test_ratio, stratify=None):
+ train_indices, test_indices = train_test_split(list(range(n_samples)), test_size=test_ratio, stratify=stratify,
+ random_state=1234)
+ train_indices, val_indices = train_test_split(list(np.unique(train_indices)), test_size=val_ratio,
+ stratify=stratify, random_state=1234)
+
+ train_mask = get_mask(train_indices, n_samples)
+ val_mask = get_mask(val_indices, n_samples)
+ test_mask = get_mask(test_indices, n_samples)
+ return train_mask, val_mask, test_mask
+
+
+def get_mask(idx, length):
+ mask = np.zeros(length)
+ mask[idx] = 1
+ return torch.tensor(mask, dtype=torch.long)
+
+
+def loader(dataset, dir='../sdata'):
+ dir = dir + os.sep + dataset
+ labels, node_id_mapping = read_label(dir)
+ edges = read_edges(dir, node_id_mapping)
+ edge_index = torch.tensor(edges, dtype=torch.long)
+ y = torch.tensor(labels, dtype=torch.long)
+ data = Data(x=None, y=y, edge_index=edge_index.transpose(1, 0), num_nodes=y.size(0), train_mask=None, val_mask=None,
+ test_mask=None, num_classes=None)
+ T.OneHotDegree(y.size(0))(data)
+ normalized_x = T.NormalizeFeatures()
+ data = normalized_x(data)
+ data.train_mask, data.val_mask, data.test_mask = split_dataset(data.num_nodes, val_ratio=0.1, test_ratio=0.1)
+ data.num_classes = torch.unique(y).size(0)
+ print('==' * 20)
+ print('dataset:\n\t num nodes:{}\n\t num edges:{}\n\t feature dim:{}\n\t'.format(data.num_nodes, data.num_edges,
+ data.num_features))
+ return data
+
+
+if __name__ == '__main__':
+ loader('usa')
diff --git a/HTGN/hgcn/utils/data_utils.py b/HTGN/hgcn/utils/data_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..be5a6cb8ced034813ed41873345a2eb6fd18607a
--- /dev/null
+++ b/HTGN/hgcn/utils/data_utils.py
@@ -0,0 +1,142 @@
+"""Data utils functions for pre-processing and data loading."""
+import numpy as np
+import scipy.sparse as sp
+import torch
+
+
+def load_data(args, datapath):
+ if args.task == 'lp':
+ data = load_data_lp(args.dataset, args.use_feats, datapath)
+ adj = data['adj_train']
+ adj_train, train_edges, train_edges_false, val_edges, val_edges_false, test_edges, test_edges_false = mask_edges(
+ adj, args.val_prop, args.test_prop, args.split_seed
+ )
+ data['adj_train'] = adj_train
+ data['train_edges'], data['train_edges_false'] = train_edges, train_edges_false
+ data['val_edges'], data['val_edges_false'] = val_edges, val_edges_false
+ data['test_edges'], data['test_edges_false'] = test_edges, test_edges_false
+ # data['adj_train_norm'], data['features'] = process(
+ # data['adj_train'], data['features'], args.normalize_adj, args.normalize_feats
+ # )
+ return data
+
+
+# ############### FEATURES PROCESSING ####################################
+def process(adj, features, normalize_adj, normalize_feats):
+ if sp.isspmatrix(features):
+ features = np.array(features.todense())
+ if normalize_feats:
+ features = normalize(features)
+ features = torch.Tensor(features)
+ if normalize_adj:
+ adj = normalize(adj + sp.eye(adj.shape[0]))
+ adj = sparse_mx_to_torch_sparse_tensor(adj)
+ return adj, features
+
+
+def normalize(mx):
+ """Row-normalize sparse matrix."""
+ rowsum = np.array(mx.sum(1))
+ r_inv = np.power(rowsum, -1).flatten()
+ r_inv[np.isinf(r_inv)] = 0.
+ r_mat_inv = sp.diags(r_inv)
+ mx = r_mat_inv.dot(mx)
+ return mx
+
+
+def sparse_mx_to_torch_sparse_tensor(sparse_mx):
+ """Convert a scipy sparse matrix to a torch sparse tensor."""
+ sparse_mx = sparse_mx.tocoo()
+ indices = torch.from_numpy(
+ np.vstack((sparse_mx.row, sparse_mx.col)).astype(np.int64)
+ )
+ values = torch.Tensor(sparse_mx.data)
+ shape = torch.Size(sparse_mx.shape)
+ return torch.sparse.FloatTensor(indices, values, shape)
+
+
+def augment(adj, features, normalize_feats=True):
+ deg = np.squeeze(np.sum(adj, axis=0).astype(int))
+ deg[deg > 5] = 5
+ deg_onehot = torch.tensor(np.eye(6)[deg], dtype=torch.float).squeeze()
+ const_f = torch.ones(features.size(0), 1)
+ features = torch.cat((features, deg_onehot, const_f), dim=1)
+ return features
+
+
+# ############### DATA SPLITS #####################################################
+
+
+def mask_edges(adj, val_prop, test_prop, seed):
+ np.random.seed(seed) # get tp edges
+ x, y = sp.triu(adj).nonzero()
+ pos_edges = np.array(list(zip(x, y)))
+ np.random.shuffle(pos_edges)
+ # get tn edges
+ x, y = sp.triu(sp.csr_matrix(1. - adj.toarray())).nonzero()
+ neg_edges = np.array(list(zip(x, y)))
+ np.random.shuffle(neg_edges)
+
+ m_pos = len(pos_edges)
+ n_val = int(m_pos * val_prop)
+ n_test = int(m_pos * test_prop)
+ val_edges, test_edges, train_edges = pos_edges[:n_val], pos_edges[n_val:n_test + n_val], pos_edges[n_test + n_val:]
+ val_edges_false, test_edges_false = neg_edges[:n_val], neg_edges[n_val:n_test + n_val]
+ train_edges_false = np.concatenate([neg_edges, val_edges, test_edges], axis=0)
+ adj_train = sp.csr_matrix((np.ones(train_edges.shape[0]), (train_edges[:, 0], train_edges[:, 1])), shape=adj.shape)
+ adj_train = adj_train + adj_train.T
+ return adj_train, torch.LongTensor(train_edges), torch.LongTensor(train_edges_false), torch.LongTensor(val_edges), \
+ torch.LongTensor(val_edges_false), torch.LongTensor(test_edges), torch.LongTensor(
+ test_edges_false)
+
+
+def split_data(labels, val_prop, test_prop, seed):
+ np.random.seed(seed)
+ nb_nodes = labels.shape[0]
+ all_idx = np.arange(nb_nodes)
+ pos_idx = labels.nonzero()[0]
+ neg_idx = (1. - labels).nonzero()[0]
+ np.random.shuffle(pos_idx)
+ np.random.shuffle(neg_idx)
+ pos_idx = pos_idx.tolist()
+ neg_idx = neg_idx.tolist()
+ nb_pos_neg = min(len(pos_idx), len(neg_idx))
+ nb_val = round(val_prop * nb_pos_neg)
+ nb_test = round(test_prop * nb_pos_neg)
+ idx_val_pos, idx_test_pos, idx_train_pos = pos_idx[:nb_val], pos_idx[nb_val:nb_val + nb_test], pos_idx[
+ nb_val + nb_test:]
+ idx_val_neg, idx_test_neg, idx_train_neg = neg_idx[:nb_val], neg_idx[nb_val:nb_val + nb_test], neg_idx[
+ nb_val + nb_test:]
+ return idx_val_pos + idx_val_neg, idx_test_pos + idx_test_neg, idx_train_pos + idx_train_neg
+
+
+def bin_feat(feat, bins):
+ digitized = np.digitize(feat, bins)
+ return digitized - digitized.min()
+
+
+# ############### LINK PREDICTION DATA LOADERS ####################################
+
+def load_data_lp(dataset, use_feats, data_path):
+ data_pt = open(data_path, "rb")
+ data = torch.load(data_pt)
+ edge_list = data['edges']
+ node_num = len(data['index_map'].values())
+ features = get_feature_list(node_num, edge_list, dtype='one-hot')
+ data = {'adj_train': edge_list, 'features': features}
+
+ return data
+
+
+def get_feature_list(node_num, edge_list, dtype='one-hot', shuffle=False):
+ x_list = []
+ for _ in edge_list:
+ if shuffle:
+ node_indices = np.random.permutation(np.arange(node_num)) if shuffle else np.arange(node_num)
+ spmat = sp.coo_matrix((np.ones(node_num), (np.arange(node_num), node_indices)),
+ shape=(node_num, node_num))
+ else:
+ spmat = sp.eye(node_num)
+ sptensor = sparse_mx_to_torch_sparse_tensor(spmat)
+ x_list.append(sptensor)
+ return x_list
diff --git a/HTGN/hgcn/utils/math_utils.py b/HTGN/hgcn/utils/math_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..663a95a35a28db5c7ecff17494934409f5641b5f
--- /dev/null
+++ b/HTGN/hgcn/utils/math_utils.py
@@ -0,0 +1,68 @@
+"""Math utils functions."""
+
+import torch
+
+
+def cosh(x, clamp=15):
+ return x.clamp(-clamp, clamp).cosh()
+
+
+def sinh(x, clamp=15):
+ return x.clamp(-clamp, clamp).sinh()
+
+
+def tanh(x, clamp=15):
+ return x.clamp(-clamp, clamp).tanh()
+
+
+def arcosh(x):
+ return Arcosh.apply(x)
+
+
+def arsinh(x):
+ return Arsinh.apply(x)
+
+
+def artanh(x):
+ return Artanh.apply(x)
+
+
+class Artanh(torch.autograd.Function):
+ @staticmethod
+ def forward(ctx, x):
+ x = x.clamp(-1 + 1e-15, 1 - 1e-15)
+ ctx.save_for_backward(x)
+ z = x.double()
+ return (torch.log_(1 + z).sub_(torch.log_(1 - z))).mul_(0.5).to(x.dtype)
+
+ @staticmethod
+ def backward(ctx, grad_output):
+ input, = ctx.saved_tensors
+ return grad_output / (1 - input ** 2)
+
+
+class Arsinh(torch.autograd.Function):
+ @staticmethod
+ def forward(ctx, x):
+ ctx.save_for_backward(x)
+ z = x.double()
+ return (z + torch.sqrt_(1 + z.pow(2))).clamp_min_(1e-15).log_().to(x.dtype)
+
+ @staticmethod
+ def backward(ctx, grad_output):
+ input, = ctx.saved_tensors
+ return grad_output / (1 + input ** 2) ** 0.5
+
+
+class Arcosh(torch.autograd.Function):
+ @staticmethod
+ def forward(ctx, x):
+ x = x.clamp(min=1.0 + 1e-15)
+ ctx.save_for_backward(x)
+ z = x.double()
+ return (z + torch.sqrt_(z.pow(2) - 1)).clamp_min_(1e-15).log_().to(x.dtype)
+
+ @staticmethod
+ def backward(ctx, grad_output):
+ input, = ctx.saved_tensors
+ return grad_output / (input ** 2 - 1) ** 0.5
diff --git a/HTGN/inits.py b/HTGN/inits.py
new file mode 100644
index 0000000000000000000000000000000000000000..f5db52fff0268e899f6a31be5c4a64eeb9ac391e
--- /dev/null
+++ b/HTGN/inits.py
@@ -0,0 +1,75 @@
+import math
+import numpy as np
+import torch
+from HTGN.config import args
+
+
+def uniform(size, tensor):
+ bound = 1.0 / math.sqrt(size)
+ if tensor is not None:
+ tensor.data.uniform_(-bound, bound)
+
+
+def xavier_init(shape):
+ """Glorot & Bengio (AISTATS 2010) init."""
+ init_range = np.sqrt(6.0 / (shape[0] + shape[1]))
+ initial = np.random.uniform(low=-init_range, high=init_range, size=shape)
+ return torch.Tensor(initial)
+
+
+def glorot(tensor):
+ if tensor is not None:
+ stdv = math.sqrt(6.0 / (tensor.size(-2) + tensor.size(-1)))
+ tensor.data.uniform_(-stdv, stdv)
+
+
+def zeros(tensor):
+ if tensor is not None:
+ tensor.data.fill_(0)
+
+
+def ones(tensor):
+ if tensor is not None:
+ tensor.data.fill_(1)
+
+import pickle
+from scipy.sparse import csr_matrix
+import scipy.sparse as sp
+from HTGN.utils.make_edges_orign import sparse_to_tuple
+
+def prepare(t):
+ # for EvolveGCN add ../
+ path = '../data/snapshots/labels_{}.pkl'.format(t)
+ with open(path,'rb') as f:
+ labels = pickle.load(f)
+
+ path = '../data/snapshots/features_{}.pkl'.format(t)
+ with open(path,'rb') as f:
+ features = pickle.load(f)
+
+ path = '../data/snapshots/adjacency_{}.pkl'.format(t)
+ with open(path,'rb') as f:
+ adj = pickle.load(f)
+
+ adj = csr_matrix(adj)
+ adj = adj - sp.dia_matrix((adj.diagonal()[np.newaxis, :], [0]), shape=adj.shape)
+ adj.eliminate_zeros()
+ assert np.diag(adj.todense()).sum() == 0
+ biedges = sparse_to_tuple(adj)[0]
+ #np.random.shuffle(biedges)
+
+ edge_index = torch.tensor(np.transpose(biedges), dtype=torch.long).to(args.device)
+ features = torch.from_numpy(features).float().to(args.device)
+ labels = torch.from_numpy(labels).long().to(args.device)
+ return edge_index,features,labels
+
+def prepare_all_data(snapshots):
+ adjacences = []
+ features = []
+ labels = []
+ for t in snapshots:
+ adj,feats,ls = prepare(t)
+ adjacences.append(adj)
+ features.append(feats)
+ labels.append(ls)
+ return adjacences,features,labels
\ No newline at end of file
diff --git a/HTGN/loss.py b/HTGN/loss.py
new file mode 100644
index 0000000000000000000000000000000000000000..36b10856b9ae40e2c079348bab5fd40c73a4463f
--- /dev/null
+++ b/HTGN/loss.py
@@ -0,0 +1,76 @@
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+# from sklearn.metrics import roc_auc_score, average_precision_score
+from HTGN.config import args
+# from HTGN.utils.util import negative_sampling
+from HTGN.hgcn.manifolds import PoincareBall
+from torch_geometric.utils import negative_sampling
+from HTGN.utils.util import logger
+import numpy as np
+
+device = args.device
+
+EPS = 1e-15
+MAX_LOGVAR = 10
+
+
+class ReconLoss(nn.Module):
+ def __init__(self, args,model):
+ super(ReconLoss, self).__init__()
+ self.negative_sampling = negative_sampling
+ self.sampling_times = args.sampling_times
+ self.r = 2.0
+ self.t = 1.0
+ self.sigmoid = True
+ self.manifold = PoincareBall()
+ self.model = model
+
+ @staticmethod
+ def maybe_num_nodes(index, num_nodes=None):
+ return index.max().item() + 1 if num_nodes is None else num_nodes
+
+ # def decoder(self, z, edge_index, sigmoid=True):
+ # value = (z[edge_index[0]] * z[edge_index[1]]).sum(dim=1)
+ # return torch.sigmoid(value) if sigmoid else value
+
+ # def hyperdeoder(self, z, edge_index):
+ # def FermiDirac(dist):
+ # probs = 1. / (torch.exp((dist - self.r) / self.t) + 1.0)
+ # return probs
+
+ # edge_i = edge_index[0]
+ # edge_j = edge_index[1]
+ # z_i = torch.nn.functional.embedding(edge_i, z)
+ # z_j = torch.nn.functional.embedding(edge_j, z)
+ # dist = self.manifold.sqdist(z_i, z_j, c=1.0)
+ # return FermiDirac(dist)
+
+ # def forward(self, z, pos_edge_index, neg_edge_index=None):
+ # #decoder = self.hyperdeoder if self.use_hyperdecoder else self.decoder
+ # decoder = self.decoder
+ # pos_loss = -torch.log(
+ # decoder(z, pos_edge_index) + EPS).mean()
+ # if neg_edge_index == None:
+ # neg_edge_index = negative_sampling(pos_edge_index,
+ # num_neg_samples=pos_edge_index.size(1) * self.sampling_times)
+ # neg_loss = -torch.log(1 - decoder(z, neg_edge_index) + EPS).mean()
+
+ # return pos_loss + neg_loss
+
+ def forward(self, z,labels):
+ preds = self.model.decode(z)
+ return F.nll_loss(preds, labels)
+
+ # def predict(self, z, pos_edge_index, neg_edge_index):
+ # #decoder = self.hyperdeoder if self.use_hyperdecoder else self.decoder
+ # decoder = self.decoder
+ # pos_y = z.new_ones(pos_edge_index.size(1)).to(device)
+ # neg_y = z.new_zeros(neg_edge_index.size(1)).to(device)
+ # y = torch.cat([pos_y, neg_y], dim=0)
+ # pos_pred = decoder(z, pos_edge_index)
+ # neg_pred = decoder(z, neg_edge_index)
+ # pred = torch.cat([pos_pred, neg_pred], dim=0)
+ # y, pred = y.detach().cpu().numpy(), pred.detach().cpu().numpy()
+ # return roc_auc_score(y, pred), average_precision_score(y, pred)
+
diff --git a/HTGN/main.py b/HTGN/main.py
new file mode 100644
index 0000000000000000000000000000000000000000..7172b1809cdee890fed742ce042d88d2d23a05e2
--- /dev/null
+++ b/HTGN/main.py
@@ -0,0 +1,127 @@
+import os
+import sys
+import time
+import torch
+import numpy as np
+from math import isnan
+import warnings
+import pickle
+from sklearn.metrics import accuracy_score, f1_score, recall_score,precision_score,roc_auc_score
+
+BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+sys.path.append(BASE_DIR)
+
+
+
+
+class Runner(object):
+ def __init__(self):
+ self.train_shots = list(range(0, args.timelength - int(args.testlength * args.timelength)))
+ self.test_shots = list(range(int(args.testlength * args.timelength), args.timelength))
+ #self.load_feature()
+ self.model = load_model(args).to(args.device)
+ self.loss = ReconLoss(args,self.model)
+ logger.info('total length: {}, test length: {}'.format(args.timelength, args.testlength))
+
+ def calculate_metrics(self,z,labels):
+ preds = self.model.decode(z)
+ labels = labels.cpu().detach().numpy()
+ preds = preds.cpu().detach().numpy()
+ preds = np.argmax(preds,axis=1)
+ f1 = f1_score(labels, preds)
+ accuracy = accuracy_score(labels, preds)
+ recall = recall_score(labels, preds)
+ precision = precision_score(labels, preds)
+ roc_auc = roc_auc_score(labels,preds )
+ return f1,accuracy,precision,recall,roc_auc
+
+ def optimizer(self, using_riemannianAdam=True):
+ if using_riemannianAdam:
+ import geoopt
+ optimizer = geoopt.optim.radam.RiemannianAdam(self.model.parameters(), lr=args.lr,
+ weight_decay=args.weight_decay)
+ else:
+ import torch.optim as optim
+ optimizer = optim.Adam(self.model.parameters(), lr=args.lr, weight_decay=args.weight_decay)
+ return optimizer
+
+ def run(self):
+ optimizer = self.optimizer()
+ t_total0 = time.time()
+ test_results, min_loss = [0] * 5, 10
+ self.model.train()
+ patience = 0
+ for epoch in range(1, args.max_epoch + 1):
+ t0 = time.time()
+ epoch_losses = []
+ self.model.init_hiddens()
+ self.model.train()
+ for t in self.train_shots:
+ edge_index,features,labels= prepare(t)
+ optimizer.zero_grad()
+ z = self.model(edge_index, features)
+ if args.use_htc == 0:
+ epoch_loss = self.loss(z,labels)
+ else:
+ epoch_loss = self.loss(z,labels) + self.model.htc(z)
+ epoch_loss.backward()
+ optimizer.step()
+ epoch_losses.append(epoch_loss.item())
+ self.model.update_hiddens_all_with(z)
+ gpu_mem_alloc = torch.cuda.max_memory_allocated() / 1000000 if torch.cuda.is_available() else 0
+ average_epoch_loss = np.mean(epoch_losses)
+ if average_epoch_loss < min_loss:
+ min_loss = average_epoch_loss
+ test_results = self.test()
+ patience = 0
+ else:
+ patience += 1
+ if epoch > args.min_epoch and patience > args.patience:
+ print('early stopping')
+ break
+
+ logger.info('==' * 45)
+ logger.info("Epoch:{}, Loss: {:.4f}, Time: {:.3f}, GPU: {:.1f}MiB".format(epoch, average_epoch_loss,
+ time.time() - t0,
+ gpu_mem_alloc))
+ logger.info('Epoch:{}, Accuracy: {:.4f}; F1: {:.4f}; Precision: {:.4f}; Recall: {:.4f}; ROC AUC: {:.4f}'.format(epoch, test_results[1], test_results[0],test_results[2],test_results[3],test_results[4]))
+
+ if isnan(epoch_loss):
+ print('nan loss')
+ sys.exit()
+ logger.info('>> Total time : %6.2f' % (time.time() - t_total0))
+ logger.info(">> Parameters: lr:%.4f |Dim:%d |Window:%d |" % (args.lr, args.nhid, args.nb_window))
+
+ def test(self):
+ f1_list,acc_list,pre_list,rec_list,roc_list,occupied_memory,processing_time = [], [], [], [], [],[],[]
+ self.model.eval()
+ for t in self.test_shots:
+ edge_index, features,labels = prepare(t)
+ start = time.time()
+ embeddings = self.model(edge_index, features)
+ f1,accuracy,precision,recall,roc_auc = self.calculate_metrics(embeddings, labels)
+ processing_time.append(time.time() - start)
+ occupied_memory.append(torch.cuda.max_memory_allocated() / 1000000 if torch.cuda.is_available() else 0)
+ f1_list.append(f1)
+ acc_list.append(accuracy)
+ pre_list.append(precision)
+ rec_list.append(recall)
+ roc_list.append(roc_auc)
+
+ return np.mean(f1_list), np.mean(acc_list), np.mean(rec_list), np.mean(pre_list), np.mean(roc_list) , np.mean(occupied_memory),np.mean(processing_time) *1000
+
+
+if __name__ == '__main__':
+ warnings.filterwarnings("ignore")
+ from HTGN.config import args
+ from HTGN.utils.util import set_random, logger, init_logger
+ from HTGN.models.load_model import load_model
+ from HTGN.loss import ReconLoss
+ from HTGN.utils.data_util import loader, prepare_dir
+ from HTGN.inits import prepare
+
+ set_random(args.seed)
+ init_logger(prepare_dir(args.output_folder) + args.dataset + '.txt')
+ runner = Runner()
+ runner.run()
+ print(runner.test())
diff --git a/HTGN/models/BaseModel.py b/HTGN/models/BaseModel.py
new file mode 100644
index 0000000000000000000000000000000000000000..204e3c012ae696deb00e7ef733aef7083e1e5a67
--- /dev/null
+++ b/HTGN/models/BaseModel.py
@@ -0,0 +1,101 @@
+import torch
+import torch.nn as nn
+from torch.nn import Parameter
+from HTGN.config import args
+import torch.nn.functional as F
+from torch_geometric.nn.inits import glorot
+
+
+class BaseModel(nn.Module):
+ def __init__(self, args=None):
+ super(BaseModel, self).__init__()
+ if args.use_gru:
+ self.gru = nn.GRUCell(args.nhid, args.nhid)
+ else:
+ self.gru = lambda x, h: x
+
+ self.feat = Parameter((torch.ones(args.num_nodes, args.nfeat)).to(args.device), requires_grad=True)
+ self.linear = nn.Linear(args.nfeat, args.nhid)
+ self.hidden_initial = torch.ones(args.num_nodes, args.nhid).to(args.device)
+
+ self.model_type = args.model[:3] # GRU or Dyn
+ self.num_window = args.nb_window
+ self.Q = Parameter(torch.ones((args.nhid, args.nhid)), requires_grad=True)
+ self.r = Parameter(torch.ones((args.nhid, 1)), requires_grad=True)
+ self.nhid = args.nhid
+ self.reset_parameter()
+
+ def reset_parameter(self):
+ glorot(self.Q)
+ glorot(self.r)
+ glorot(self.feat)
+ glorot(self.linear.weight)
+ glorot(self.hidden_initial)
+
+ def init_hiddens(self):
+ self.hiddens = [self.hidden_initial] * self.num_window
+ return self.hiddens
+
+ def weighted_hiddens(self, hidden_window):
+ e = torch.matmul(torch.tanh(torch.matmul(hidden_window, self.Q)), self.r)
+ e_reshaped = torch.reshape(e, (self.num_window, -1))
+ a = F.softmax(e_reshaped, dim=0).unsqueeze(2)
+ hidden_window_new = torch.reshape(hidden_window, [self.num_window, -1, self.nhid])
+ s = torch.mean(a * hidden_window_new, dim=0)
+ return s
+
+ def save_hiddens(self, data_name, path):
+ torch.save(self.hiddens, path + '{}_embeddings.pt'.format(data_name))
+
+ def load_hiddens(self, data_name, path):
+ self.hiddens = [torch.load(path + '{}_embeddings.pt'.format(data_name))[-1].to(args.device)]
+ return self.hiddens[-1]
+
+ def htc(self, x):
+ h = self.hiddens[-1]
+ return (x - h).pow(2).sum(-1).mean()
+
+ # replace all nodes
+ def update_hiddens_all_with(self, z_t):
+ self.hiddens.pop(0) # [element0, element1, element2] remove the first element0
+ self.hiddens.append(z_t.clone().detach().requires_grad_(False)) # [element1, element2, z_t]
+ return z_t
+
+ # replace current nodes state
+ def update_hiddens_with(self, z_t, nodes):
+ last_z = self.hiddens[-1].detach_().clone().requires_grad_(False)
+ last_z[nodes, :] = z_t[nodes, :].detach_().clone().requires_grad_(False)
+ self.hiddens.pop(0) # [element0, element1, element2] remove the first element0
+ self.hiddens.append(last_z) # [element1, element2, z_t]
+ return last_z
+
+ def continuous_encode(self, edge_index, x=None, weight=None):
+ x = torch.cat([x, self.hiddens[-1]], dim=1)
+ x = F.dropout(x, p=self.dropout1, training=self.training)
+ x = self.layer1(x, edge_index)
+ x = self.act(x)
+ x = F.dropout(x, self.dropout2, training=self.training)
+ x = self.layer2(x, edge_index)
+ return x
+
+ def gru_encode(self, edge_index, x=None, weight=None):
+ x = torch.cat([x, self.hiddens[-1]], dim=1)
+ x = F.dropout(x, p=self.dropout1, training=self.training)
+ x = self.layer1(x, edge_index)
+ x = self.act(x)
+ x = F.dropout(x, self.dropout2, training=self.training)
+ x = self.layer2(x, edge_index)
+ h = self.weighted_hiddens(torch.cat(self.hiddens, dim=0))
+ x = self.gru(x, h)
+ return x
+
+ def forward(self, edge_index, x=None, weight=None):
+ if x is None:
+ x = self.linear(self.feat)
+ else:
+ x = self.linear(x)
+ if self.model_type == 'Dyn':
+ x = self.continuous_encode(edge_index, x, weight)
+ if self.model_type == 'GRU':
+ x = self.gru_encode(edge_index, x, weight)
+ return x
diff --git a/HTGN/models/DynModels.py b/HTGN/models/DynModels.py
new file mode 100644
index 0000000000000000000000000000000000000000..da2a9d154d846262eee9356f39df1852a67d8cb6
--- /dev/null
+++ b/HTGN/models/DynModels.py
@@ -0,0 +1,27 @@
+import torch.nn.functional as F
+from torch_geometric.nn import GCNConv, GATConv
+from HTGN.models.BaseModel import BaseModel
+
+MAX_LOGSTD = 10
+
+
+# refer to: https://github.com/rusty1s/pytorch_geometric/blob/master/examples/gat.py
+class DGAT(BaseModel):
+ def __init__(self, args):
+ super(DGAT, self).__init__(args)
+ self.layer1 = GATConv(2 * args.nhid, args.nhid // 2, args.heads, dropout=args.dropout)
+ self.layer2 = GATConv(args.nhid // 2 * args.heads, args.nhid, heads=1, dropout=args.dropout, concat=False)
+ self.dropout1 = args.dropout
+ self.dropout2 = args.dropout
+ self.act = F.elu
+
+
+# refer to https://github.com/rusty1s/pytorch_geometric/blob/master/examples/gcn.py
+class DGCN(BaseModel):
+ def __init__(self, args):
+ super(DGCN, self).__init__(args)
+ self.layer1 = GCNConv(2 * args.nhid, 2 * args.nhid)
+ self.layer2 = GCNConv(2 * args.nhid, args.nhid)
+ self.dropout1 = 0
+ self.dropout2 = args.dropout
+ self.act = F.relu
diff --git a/HTGN/models/EvolveGCN/EGCN.py b/HTGN/models/EvolveGCN/EGCN.py
new file mode 100644
index 0000000000000000000000000000000000000000..fe9575cbc622f39f0665ca1f2b9722d1d8ca14f5
--- /dev/null
+++ b/HTGN/models/EvolveGCN/EGCN.py
@@ -0,0 +1,158 @@
+import torch
+import math
+import torch.nn as nn
+from torch.nn.parameter import Parameter
+from HTGN.models.EvolveGCN.GCNCONV import GCNConv
+import torch.nn.functional as F
+from HTGN.models.BaseModel import BaseModel
+
+
+# EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
+# For more information, please refer to https://arxiv.org/abs/1902.10191
+
+class EvolveGCN(BaseModel):
+ def __init__(self, args):
+ super(EvolveGCN, self).__init__(args)
+ self.input_dim = args.nfeat
+ self.hidden_dim = 2 * args.nhid
+ self.output_dim = args.nhid
+ self.egcn_type = args.egcn_type
+ self.GRCU_layers1 = GRCU(self.input_dim, self.hidden_dim, egcn_type=self.egcn_type)
+ self.GRCU_layers2 = GRCU(self.hidden_dim, self.output_dim, egcn_type=self.egcn_type)
+ self.cls = nn.Linear(args.nout, args.nclasses, True,device='cuda')
+ assert self.egcn_type in ['EGCNO', 'EGCNH']
+
+ def forward(self, A_list, Nodes_list=None):
+ if Nodes_list is None:
+ Nodes_list = [self.feat] * len(A_list)
+ Nodes_list = self.GRCU_layers1(A_list, Nodes_list, activation=True)
+ Nodes_list = self.GRCU_layers2(A_list, Nodes_list, activation=False)
+ return Nodes_list
+
+ def decode(self,x):
+ return F.log_softmax(self.cls(x), dim=1)
+
+
+class GRCU(torch.nn.Module):
+ def __init__(self, input_dim, output_dim, egcn_type='EGCNH'):
+ super(GRCU, self).__init__()
+ self.evolve_weights = mat_GRU_cell(input_dim, output_dim, egcn_type)
+ self.egcn_type = egcn_type
+ self.GCN_init_weights = Parameter(torch.FloatTensor(input_dim, output_dim))
+ self.reset_param(self.GCN_init_weights)
+ self.gcn = GCNConv(input_dim, output_dim, cached=False)
+
+ def reset_param(self, t):
+ # Initialize based on the number of columns
+ stdv = 1. / math.sqrt(t.size(1))
+ t.data.uniform_(-stdv, stdv)
+
+ def forward(self, A_list, node_embs_list, activation=True, mask_list=None):
+ GCN_weights = self.GCN_init_weights
+ out_seq = []
+ for t, edge_index in enumerate(A_list):
+ node_embs = node_embs_list[t]
+ # first evolve the weights from the initial and use the new weights with the node_embs
+ if self.egcn_type == 'EGCNO':
+ GCN_weights = self.evolve_weights(GCN_weights)
+ elif self.egcn_type == 'EGCNH':
+ if mask_list is not None:
+ GCN_weights = self.evolve_weights(GCN_weights, node_embs, mask_list[t])
+ else:
+ GCN_weights = self.evolve_weights(GCN_weights, node_embs)
+ else:
+ raise Exception('Unsupported EvolveGCN type!')
+
+ node_embs = self.gcn(node_embs, edge_index, GCN_weights)
+ if activation:
+ node_embs = nn.functional.rrelu(node_embs)
+ out_seq.append(node_embs)
+ return out_seq
+
+
+class mat_GRU_cell(torch.nn.Module):
+ def __init__(self, input_dim, output_dim, egcn_type='EGCNH'):
+ super(mat_GRU_cell, self).__init__()
+ self.egcn_type = egcn_type
+ self.update = mat_GRU_gate(input_dim, output_dim, torch.nn.Sigmoid())
+ self.reset = mat_GRU_gate(input_dim, output_dim, torch.nn.Sigmoid())
+ self.htilda = mat_GRU_gate(input_dim, output_dim, torch.nn.Tanh())
+ self.choose_topk = TopK(feats=input_dim, k=output_dim)
+ assert self.egcn_type in ['EGCNO', 'EGCNH']
+
+ def forward(self, prev_Q, prev_Z=None, mask=None):
+ if self.egcn_type == 'EGCNO':
+ z_topk = prev_Q
+ elif self.egcn_type == 'EGCNH':
+ z_topk = self.choose_topk(prev_Z, mask)
+ else:
+ raise Exception('Unsupported EvolveGCN type!')
+ update = self.update(z_topk, prev_Q)
+ reset = self.reset(z_topk, prev_Q)
+ h_cap = reset * prev_Q
+ h_cap = self.htilda(z_topk, h_cap)
+ new_Q = (1 - update) * prev_Q + update * h_cap
+ return new_Q
+
+
+def pad_with_last_val(vect, k):
+ device = 'cuda' if vect.is_cuda else 'cpu'
+ if vect.size(0) == 0:
+ return torch.arange(k)
+ pad = torch.ones(k - vect.size(0),
+ dtype=torch.long,
+ device=device) * vect[-1]
+ vect = torch.cat([vect, pad])
+ return vect
+
+
+class mat_GRU_gate(torch.nn.Module):
+ def __init__(self, rows, cols, activation):
+ super(mat_GRU_gate, self).__init__()
+ self.activation = activation
+ # the k here should be in_feats which is actually the rows
+ self.W = Parameter(torch.FloatTensor(rows, rows))
+ self.reset_param(self.W)
+ self.U = Parameter(torch.FloatTensor(rows, rows))
+ self.reset_param(self.U)
+ self.bias = Parameter(torch.zeros(rows, cols))
+ self.reset_param(self.bias)
+
+ def reset_param(self, t):
+ # Initialize based on the number of columns
+ stdv = 1. / math.sqrt(t.size(1))
+ t.data.uniform_(-stdv, stdv)
+
+ def forward(self, x, hidden):
+ return self.activation(self.W.matmul(x) + self.U.matmul(hidden) + self.bias)
+
+
+class TopK(torch.nn.Module):
+ def __init__(self, feats, k):
+ super(TopK, self).__init__()
+ self.scorer = Parameter(torch.FloatTensor(feats, 1))
+ self.reset_param(self.scorer)
+ self.k = k
+
+ def reset_param(self, t):
+ # Initialize based on the number of rows
+ stdv = 1. / math.sqrt(t.size(0))
+ t.data.uniform_(-stdv, stdv)
+
+ def forward(self, node_embs, mask=None):
+ scores = node_embs.matmul(self.scorer) / self.scorer.norm()
+ if mask is None:
+ mask = torch.zeros_like(scores) if torch.cuda.is_available() else torch.zeros_like(scores)
+ scores = scores + mask
+ vals, topk_indices = scores.view(-1).topk(self.k)
+ topk_indices = topk_indices[vals > -float("Inf")]
+ if topk_indices.size(0) < self.k:
+ topk_indices = pad_with_last_val(topk_indices, self.k)
+ tanh = torch.nn.Tanh()
+ if isinstance(node_embs, torch.sparse.FloatTensor) or \
+ isinstance(node_embs, torch.cuda.sparse.FloatTensor):
+ node_embs = node_embs.to_dense()
+
+ out = node_embs[topk_indices] * tanh(scores[topk_indices].view(-1, 1))
+ # we need to transpose the output
+ return out.t()
diff --git a/HTGN/models/EvolveGCN/GCNCONV.py b/HTGN/models/EvolveGCN/GCNCONV.py
new file mode 100644
index 0000000000000000000000000000000000000000..5fd3d4c8d5cd0f270291292314ca1f2b791ae584
--- /dev/null
+++ b/HTGN/models/EvolveGCN/GCNCONV.py
@@ -0,0 +1,127 @@
+import torch
+from torch.nn import Parameter
+from torch_scatter import scatter_add
+from torch_geometric.nn.conv import MessagePassing
+from torch_geometric.utils import add_remaining_self_loops
+import math
+
+
+def glorot(tensor):
+ if tensor is not None:
+ stdv = math.sqrt(6.0 / (tensor.size(-2) + tensor.size(-1)))
+ tensor.data.uniform_(-stdv, stdv)
+
+
+def zeros(tensor):
+ if tensor is not None:
+ tensor.data.fill_(0)
+
+
+class GCNConv(MessagePassing):
+ r"""The graph convolutional operator from the `"Semi-supervised
+ Classification with Graph Convolutional Networks"
+ <https://arxiv.org/abs/1609.02907>`_ paper
+
+ .. math::
+ \mathbf{X}^{\prime} = \mathbf{\hat{D}}^{-1/2} \mathbf{\hat{A}}
+ \mathbf{\hat{D}}^{-1/2} \mathbf{X} \mathbf{\Theta},
+
+ where :math:`\mathbf{\hat{A}} = \mathbf{A} + \mathbf{I}` denotes the
+ adjacency matrix with inserted self-loops and
+ :math:`\hat{D}_{ii} = \sum_{j=0} \hat{A}_{ij}` its diagonal degree matrix.
+
+ Args:
+ in_channels (int): Size of each input sample.
+ out_channels (int): Size of each output sample.
+ improved (bool, optional): If set to :obj:`True`, the layer computes
+ :math:`\mathbf{\hat{A}}` as :math:`\mathbf{A} + 2\mathbf{I}`.
+ (default: :obj:`False`)
+ cached (bool, optional): If set to :obj:`True`, the layer will cache
+ the computation of :math:`\mathbf{\hat{D}}^{-1/2} \mathbf{\hat{A}}
+ \mathbf{\hat{D}}^{-1/2}` on first execution, and will use the
+ cached version for further executions.
+ This parameter should only be set to :obj:`True` in transductive
+ learning scenarios. (default: :obj:`False`)
+ bias (bool, optional): If set to :obj:`False`, the layer will not learn
+ an additive bias. (default: :obj:`True`)
+ **kwargs (optional): Additional arguments of
+ :class:`torch_geometric.nn.conv.MessagePassing`.
+ """
+
+ def __init__(self, in_channels, out_channels, improved=False, cached=False,
+ bias=True, **kwargs):
+ super(GCNConv, self).__init__(aggr='add', **kwargs)
+
+ self.in_channels = in_channels
+ self.out_channels = out_channels
+ self.improved = improved
+ self.cached = cached
+
+ # self.weight = Parameter(torch.Tensor(in_channels, out_channels))
+
+ if bias:
+ self.bias = Parameter(torch.zeros(out_channels))
+ else:
+ self.register_parameter('bias', None)
+
+ self.reset_parameters()
+
+ def reset_parameters(self):
+ # glorot(self.weight)
+ zeros(self.bias)
+ self.cached_result = None
+ self.cached_num_edges = None
+
+ @staticmethod
+ def norm(edge_index, num_nodes, edge_weight=None, improved=False,
+ dtype=None):
+ if edge_weight is None:
+ edge_weight = torch.ones((edge_index.size(1),), dtype=dtype,
+ device=edge_index.device)
+
+ fill_value = 1 if not improved else 2
+ edge_index, edge_weight = add_remaining_self_loops(
+ edge_index, edge_weight, fill_value, num_nodes)
+ row, col = edge_index
+ deg = scatter_add(edge_weight, row, dim=0, dim_size=num_nodes)
+ deg_inv_sqrt = deg.pow(-0.5)
+ deg_inv_sqrt[deg_inv_sqrt == float('inf')] = 0
+
+ return edge_index, deg_inv_sqrt[row] * edge_weight * deg_inv_sqrt[col]
+
+ def forward(self, x, edge_index, nn_weight=None, edge_weight=None):
+ """"""
+ if nn_weight is not None:
+ x = x.matmul(nn_weight)
+ else:
+ x = torch.matmul(x, self.weight)
+
+ if self.cached and self.cached_result is not None:
+ if edge_index.size(1) != self.cached_num_edges:
+ raise RuntimeError(
+ 'Cached {} number of edges, but found {}. Please '
+ 'disable the caching behavior of this layer by removing '
+ 'the `cached=True` argument in its constructor.'.format(
+ self.cached_num_edges, edge_index.size(1)))
+
+ if not self.cached or self.cached_result is None:
+ self.cached_num_edges = edge_index.size(1)
+ edge_index, norm = self.norm(edge_index, x.size(0), edge_weight,
+ self.improved, x.dtype)
+ self.cached_result = edge_index, norm
+
+ edge_index, norm = self.cached_result
+
+ return self.propagate(edge_index, x=x, norm=norm)
+
+ def message(self, x_j, norm):
+ return norm.view(-1, 1) * x_j
+
+ def update(self, aggr_out):
+ if self.bias is not None:
+ aggr_out = aggr_out + self.bias
+ return aggr_out
+
+ def __repr__(self):
+ return '{}({}, {})'.format(self.__class__.__name__, self.in_channels,
+ self.out_channels)
diff --git a/HTGN/models/EvolveGCN/__init__.py b/HTGN/models/EvolveGCN/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/HTGN/models/HTGN.py b/HTGN/models/HTGN.py
new file mode 100644
index 0000000000000000000000000000000000000000..d956c336f1c4acb79c2f882f21ef54fd95969e29
--- /dev/null
+++ b/HTGN/models/HTGN.py
@@ -0,0 +1,131 @@
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+from torch.nn import Parameter
+from torch_geometric.nn.inits import glorot, kaiming_uniform
+from HTGN.hgcn.layers.hyplayers import HGCNConv, HypGRU, HGATConv
+from HTGN.hgcn.manifolds import PoincareBall
+from HTGN.models.BaseModel import BaseModel
+from torch.nn.modules.module import Module
+
+# class Linear(Module):
+# """
+# Simple Linear layer with dropout.
+# """
+
+# def __init__(self, in_features, out_features, dropout, act, use_bias):
+# super(Linear, self).__init__()
+# self.dropout = dropout
+# self.linear = nn.Linear(in_features, out_features, use_bias)
+# self.act = act
+
+# def forward(self, x):
+# hidden = self.linear.forward(x)
+# hidden = F.dropout(hidden, self.dropout, training=self.training)
+# out = self.act(hidden)
+# return out
+
+class HTGN(BaseModel):
+ def __init__(self, args):
+ super(HTGN, self).__init__(args)
+ self.manifold_name = args.manifold
+ self.manifold = PoincareBall()
+
+ self.c = Parameter(torch.ones(3, 1) * args.curvature, requires_grad=not args.fixed_curvature)
+ self.feat = Parameter((torch.ones(args.num_nodes, args.nfeat)), requires_grad=True)
+ self.linear = nn.Linear(args.nfeat, args.nout)
+ self.hidden_initial = torch.ones(args.num_nodes, args.nout).to(args.device)
+ self.use_hta = args.use_hta
+ if args.aggregation == 'deg':
+ self.layer1 = HGCNConv(self.manifold, 2 * args.nout, 2 * args.nhid, self.c[0], self.c[1],
+ dropout=args.dropout)
+ self.layer2 = HGCNConv(self.manifold, 2 * args.nhid, args.nout, self.c[1], self.c[2], dropout=args.dropout)
+ if args.aggregation == 'att':
+ self.layer1 = HGATConv(self.manifold, 2 * args.nout, 2 * args.nhid, self.c[0], self.c[1],
+ heads=args.heads, dropout=args.dropout, att_dropout=args.dropout, concat=True)
+ self.layer2 = HGATConv(self.manifold, 2 * args.nhid * args.heads, args.nout, self.c[1], self.c[2],
+ heads=args.heads, dropout=args.dropout, att_dropout=args.dropout, concat=False)
+ self.gru = nn.GRUCell(args.nout, args.nout)
+
+ self.nhid = args.nhid
+ self.nout = args.nout
+ self.cat = True
+ self.Q = Parameter(torch.ones((args.nout, args.nhid)), requires_grad=True)
+ self.r = Parameter(torch.ones((args.nhid, 1)), requires_grad=True)
+ self.num_window = args.nb_window
+ self.reset_parameters()
+
+ self.cls = nn.Linear(args.nout, args.nclasses, True,device='cuda')
+
+ def reset_parameters(self):
+ glorot(self.Q)
+ glorot(self.r)
+ glorot(self.feat)
+ glorot(self.linear.weight)
+ glorot(self.hidden_initial)
+
+ def init_hiddens(self):
+ self.hiddens = [self.initHyperX(self.hidden_initial)] * self.num_window
+ return self.hiddens
+
+ def weighted_hiddens(self, hidden_window):
+ if self.use_hta == 0:
+ return self.manifold.proj_tan0(self.manifold.logmap0(self.hiddens[-1], c=self.c[2]), c=self.c[2])
+ # temporal self-attention
+ e = torch.matmul(torch.tanh(torch.matmul(hidden_window, self.Q)), self.r)
+ e_reshaped = torch.reshape(e, (self.num_window, -1))
+ a = F.softmax(e_reshaped, dim=0).unsqueeze(2)
+ hidden_window_new = torch.reshape(hidden_window, [self.num_window, -1, self.nout])
+ s = torch.mean(a * hidden_window_new, dim=0) # torch.sum is also applicable
+ return s
+
+ def initHyperX(self, x, c=1.0):
+ if self.manifold_name == 'Hyperboloid':
+ o = torch.zeros_like(x)
+ x = torch.cat([o[:, 0:1], x], dim=1)
+ return self.toHyperX(x, c)
+
+ def toHyperX(self, x, c=1.0):
+ x_tan = self.manifold.proj_tan0(x, c)
+ x_hyp = self.manifold.expmap0(x_tan, c)
+ x_hyp = self.manifold.proj(x_hyp, c)
+ return x_hyp
+
+ def toTangentX(self, x, c=1.0):
+ x = self.manifold.proj_tan0(self.manifold.logmap0(x, c), c)
+ return x
+
+ def htc(self, x):
+ x = self.manifold.proj(x, self.c[2])
+ h = self.manifold.proj(self.hiddens[-1], self.c[2])
+
+ return self.manifold.sqdist(x, h, self.c[2]).mean()
+
+ def forward(self, edge_index, x=None, weight=None):
+ if x is None: # using trainable feat matrix
+ x = self.initHyperX(self.linear(self.feat), self.c[0])
+ else:
+ x = self.initHyperX(self.linear(x), self.c[0])
+ if self.cat:
+ x = torch.cat([x, self.hiddens[-1]], dim=1)
+
+ # layer 1
+ x = self.manifold.proj(x, self.c[0])
+ x = self.layer1(x, edge_index)
+
+ # layer 2
+ x = self.manifold.proj(x, self.c[1])
+ x = self.layer2(x, edge_index)
+
+ # GRU layer
+ x = self.toTangentX(x, self.c[2]) # to tangent space
+ hlist = self.manifold.proj_tan0(
+ torch.cat([self.manifold.logmap0(hidden, c=self.c[2]) for hidden in self.hiddens], dim=0), c=self.c[2])
+ h = self.weighted_hiddens(hlist)
+ x = self.gru(x, h) # can also utilize HypGRU
+ x = self.toHyperX(x, self.c[2]) # to hyper space
+ return x
+
+ def decode(self,x):
+ x = self.toTangentX(x, self.c[2])
+ return F.log_softmax(self.cls(x), dim=1)
\ No newline at end of file
diff --git a/HTGN/models/__init__.py b/HTGN/models/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/HTGN/models/load_model.py b/HTGN/models/load_model.py
new file mode 100644
index 0000000000000000000000000000000000000000..7664b003ca411662334ebcc0748da4b2d66a4625
--- /dev/null
+++ b/HTGN/models/load_model.py
@@ -0,0 +1,16 @@
+from HTGN.utils.util import logger
+from HTGN.models.HTGN import HTGN
+from HTGN.models.EvolveGCN.EGCN import EvolveGCN
+from HTGN.models.DynModels import DGCN
+
+def load_model(args):
+ if args.model in ['GRUGCN', 'DynGCN']:
+ model = DGCN(args)
+ elif args.model == 'HTGN':
+ model = HTGN(args)
+ elif args.model == 'EGCN':
+ model = EvolveGCN(args)
+ else:
+ raise Exception('pls define the model')
+ logger.info('using model {} '.format(args.model))
+ return model
diff --git a/HTGN/utils/__init__.py b/HTGN/utils/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/HTGN/utils/data_util.py b/HTGN/utils/data_util.py
new file mode 100644
index 0000000000000000000000000000000000000000..931f2c6b939066496f7a31d33307001c70b0cedc
--- /dev/null
+++ b/HTGN/utils/data_util.py
@@ -0,0 +1,175 @@
+import os
+import numpy as np
+import torch
+from torch_geometric.utils import train_test_split_edges
+from torch_geometric.data import Data
+import pickle
+from HTGN.utils.make_edges_orign import mask_edges_det, mask_edges_prd, mask_edges_prd_new_by_marlin
+from HTGN.utils.make_edges_new import get_edges, get_prediction_edges, get_new_prediction_edges
+from scipy.sparse import csr_matrix
+
+def mkdirs(path):
+ if not os.path.isdir(path):
+ os.makedirs(path)
+ return path
+
+
+def prepare_dir(output_folder):
+ mkdirs(output_folder)
+ log_folder = mkdirs(output_folder)
+ return log_folder
+
+
+def generate_adj_list_ddos2019(n_snapshots=10,new_link_per_snapshot=10):
+ path = '../data/ddos2019/adjacency.pkl'
+ with open(path,'rb') as f:
+ adj = pickle.load(f)
+ adj_list=[]
+ adj_list.append(csr_matrix(adj))
+ linked = list(np.where(adj == True))
+ for _ in range(n_snapshots -1):
+ for _ in range(new_link_per_snapshot):
+ rand = np.random.randint(0,len(linked[0]))
+ adj[linked[0][rand],linked[1][rand]]=False
+ linked[0] = np.delete(linked[0], rand)
+ linked[1] = np.delete(linked[1], rand)
+ adj_list.append(csr_matrix(adj))
+ adj_list = adj_list[::-1]
+ return adj_list
+
+def generate_features_ddos2019(args,n_snapshots=10):
+ features_list = []
+ path = '../data/ddos2019/features.pkl'
+ with open(path,'rb') as f:
+ features = pickle.load(f)
+ for _ in range(n_snapshots):
+ features_list.append(torch.from_numpy(features).float().to(args.device))
+ return features_list
+
+def generate_labels_list_ddos2019(args,n_snapshots=10):
+ labels_list = []
+ path = '../data/ddos2019/labels.pkl'
+ with open(path,'rb') as f:
+ labels = pickle.load(f)
+ for _ in range(n_snapshots):
+ labels_list.append(torch.from_numpy(labels).long())
+ return labels_list
+
+def load_vgrnn_dataset(args,dataset):
+ # assert dataset in ['enron10', 'dblp'] # using vgrnn dataset
+ # print('>> loading on vgrnn dataset')
+ # with open('../data/input/raw/{}/adj_time_list.pickle'.format(dataset), 'rb') as handle:
+ # adj_time_list = pickle.load(handle, encoding='iso-8859-1')
+ # print('>> generating edges,negative edges wait for a while ...')
+ features_list = generate_features_ddos2019(args)
+ adj_time_list = generate_adj_list_ddos2019()
+ #labels_list = generate_labels_list_ddos2019(args)
+ data = {}
+ edges, biedges = mask_edges_det(adj_time_list) # list
+ #pedges, nedges = mask_edges_prd(adj_time_list) # list
+ print('>> processing finished!')
+ #assert len(edges) == len(biedges) == len(pedges) == len(nedges)
+ assert len(edges) == len(biedges)
+ #edge_index_list, pedges_list, nedges_list = [], [], []
+ edge_index_list= []
+ for t in range(len(biedges)):
+ edge_index_list.append(torch.tensor(np.transpose(biedges[t]), dtype=torch.long))
+ # pedges_list.append(torch.tensor(np.transpose(pedges[t]), dtype=torch.long))
+ # nedges_list.append(torch.tensor(np.transpose(nedges[t]), dtype=torch.long))
+
+ data['edge_index_list'] = edge_index_list
+ # data['pedges'], data['nedges'] = pedges_list, nedges_list
+ #data['num_nodes'] = int(np.max(np.vstack(edges))) + 1
+ data['features_list'] = features_list
+ #data['labels_list'] = labels_list
+ #data['time_length'] = len(edge_index_list)
+ # data['weights'] = None
+ #print('>> data: ddos2019')
+ #print('>> total length:{}'.format(len(edge_index_list)))
+ #print('>> number nodes: {}'.format(data['num_nodes']))
+ return data
+
+
+# def load_new_dataset(dataset):
+# print('>> loading on new dataset')
+# data = {}
+# rawfile = '../data/input/processed/{}/{}.pt'.format(dataset, dataset)
+# edge_index_list = torch.load(rawfile) # format: list:[[[1,2],[2,3],[3,4]]]
+# undirected_edges = get_edges(edge_index_list)
+# num_nodes = int(np.max(np.hstack(undirected_edges))) + 1
+# pedges, nedges = get_prediction_edges(undirected_edges) # list
+
+# data['edge_index_list'] = undirected_edges
+# data['pedges'], data['nedges'] = pedges, nedges
+# data['num_nodes'] = num_nodes
+# data['time_length'] = len(edge_index_list)
+# data['weights'] = None
+# print('>> data: {}'.format(dataset))
+# print('>> total length: {}'.format(len(edge_index_list)))
+# print('>> number nodes: {}'.format(data['num_nodes']))
+# return data
+
+
+# def load_vgrnn_dataset_det(dataset):
+# assert dataset in ['enron10', 'dblp'] # using vgrnn dataset
+# print('>> loading on vgrnn dataset')
+# with open('../data/input/raw/{}/adj_time_list.pickle'.format(dataset), 'rb') as handle:
+# adj_time_list = pickle.load(handle, encoding='iso-8859-1')
+# print('>> generating edges, negative edges and new edges, wait for a while ...')
+# data = {}
+# edges, biedges = mask_edges_det(adj_time_list) # list
+# pedges, nedges = mask_edges_prd(adj_time_list) # list
+# print('>> processing finished!')
+# assert len(edges) == len(biedges) == len(pedges) == len(nedges)
+# edge_index_list, pedges_list, nedges_list = [], [], []
+# for t in range(len(biedges)):
+# edge_index_list.append(torch.tensor(np.transpose(biedges[t]), dtype=torch.long))
+# pedges_list.append(torch.tensor(np.transpose(pedges[t]), dtype=torch.long))
+# nedges_list.append(torch.tensor(np.transpose(nedges[t]), dtype=torch.long))
+
+# data['edge_index_list'] = edge_index_list
+# data['pedges'], data['nedges'] = pedges_list, nedges_list
+# data['num_nodes'] = int(np.max(np.vstack(edges))) + 1
+
+# data['time_length'] = len(edge_index_list)
+# data['weights'] = None
+# print('>> data: {}'.format(dataset))
+# print('>> total length:{}'.format(len(edge_index_list)))
+# print('>> number nodes: {}'.format(data['num_nodes']))
+# return data
+
+
+# def load_new_dataset_det(dataset):
+# print('>> loading on new dataset')
+# data = {}
+# rawfile = '../data/input/processed/{}/{}.pt'.format(dataset, dataset)
+# edge_index_list = torch.load(rawfile) # format: list:[[[1,2],[2,3],[3,4]]]
+# undirected_edges = get_edges(edge_index_list)
+# num_nodes = int(np.max(np.hstack(undirected_edges))) + 1
+
+# gdata_list = []
+# for edge_index in undirected_edges:
+# gdata = Data(x=None, edge_index=edge_index, num_nodes=num_nodes)
+# gdata_list.append(train_test_split_edges(gdata, 0.1, 0.4))
+
+# data['gdata'] = gdata_list
+# data['num_nodes'] = num_nodes
+# data['time_length'] = len(edge_index_list)
+# data['weights'] = None
+# print('>> data: {}'.format(dataset))
+# print('>> total length: {}'.format(len(edge_index_list)))
+# print('>> number nodes: {}'.format(data['num_nodes']))
+# return data
+
+
+def loader(args,dataset='ddos2019'):
+ # data_root = '../data/input/cached/{}/'.format(dataset)
+ # filepath = mkdirs(data_root) + '{}.data'.format(dataset)
+ # if dataset in ['enron10', 'dblp']:
+ # data = load_vgrnn_dataset(dataset)
+ # if dataset in ['as733', 'fbw', 'HepPh30', 'disease']:
+ # data = load_new_dataset(dataset)
+ # torch.save(data, filepath)
+ # print('saved!')
+ data = load_vgrnn_dataset(args,dataset)
+ return data
diff --git a/HTGN/utils/make_edges_new.py b/HTGN/utils/make_edges_new.py
new file mode 100644
index 0000000000000000000000000000000000000000..dd319722097b1a917df68287339860ecc5157bc0
--- /dev/null
+++ b/HTGN/utils/make_edges_new.py
@@ -0,0 +1,73 @@
+import torch
+import numpy as np
+import scipy.sparse as sp
+import pickle
+import torch_geometric.utils.to_dense_adj as to_dense_adj
+from torch_geometric.utils.undirected import to_undirected
+from torch_geometric.utils.convert import to_scipy_sparse_matrix
+from torch_geometric.utils.negative_sampling import negative_sampling, structured_negative_sampling
+from torch_geometric.utils import remove_self_loops
+from torch_geometric.utils import softmax, k_hop_subgraph
+
+
+def tuple_to_array(lot):
+ out = np.array(list(lot[0]))
+ for i in range(1, len(lot)):
+ out = np.vstack((out, np.array(list(lot[i]))))
+ return out
+
+
+def sparse_to_tuple(sparse_mx):
+ if not sp.isspmatrix_coo(sparse_mx):
+ sparse_mx = sparse_mx.tocoo()
+ coords = np.vstack((sparse_mx.row, sparse_mx.col)).transpose()
+ values = sparse_mx.data
+ shape = sparse_mx.shape
+ return coords, values, shape
+
+
+def to_one_directed_edge(undirected_edge):
+ return torch.from_numpy(sparse_to_tuple(sp.triu(to_scipy_sparse_matrix(undirected_edge)))[0]).transpose(1, 0) ## take the upper triangle of the matrix
+
+
+def get_edges(edge_index_list):
+ undirected_edge_list = []
+ for i in range(0, len(edge_index_list)):
+ edge_index, _ = remove_self_loops(
+ torch.from_numpy(np.array(edge_index_list[i])).transpose(1, 0)) # remove self-loop
+ undirected_edge_list.append(to_undirected(edge_index)) # convert to undirected/bi-directed edge_index
+ return undirected_edge_list
+
+
+def get_prediction_edges(undirected_edge_index_list):
+ pos_edges_list = []
+ neg_edges_list = []
+ for undirected_edge in undirected_edge_index_list:
+ ## in the previous step the graph was converted to bi-directed after removing the self loops, here they reconvert it to one directed
+ pos_edges = to_one_directed_edge(undirected_edge)
+
+ pos_edges_list.append(pos_edges)
+ neg_edges = negative_sampling(undirected_edge, num_neg_samples=pos_edges.size(1))
+ neg_edges_list.append(neg_edges)
+ return pos_edges_list, neg_edges_list
+
+
+def get_new_prediction_edges(undirected_edge_index_list, num_nodes):
+ pos_edges_list = [torch.zeros((2, 100))] # ignore the first pos edges
+ neg_edges_list = [torch.zeros((2, 100))] # ignore the first neg edges
+
+ for i in range(1, len(undirected_edge_index_list)):
+ current_edges = to_one_directed_edge(undirected_edge_index_list[i])
+ last_edges = to_one_directed_edge(undirected_edge_index_list[i - 1])
+
+ edges_perm = current_edges[0] * num_nodes + current_edges[1] # hash current edges
+ last_edges_perm = last_edges[0] * num_nodes + last_edges[1] # hash last edges
+
+ perm = np.setdiff1d(edges_perm, np.intersect1d(edges_perm, last_edges_perm)) # new edges: edge-edge^last_edge
+ edges_pos = np.vstack(np.divmod(perm, num_nodes)).transpose().astype(np.long) # convert perm to indices
+ edges_pos = torch.from_numpy(edges_pos).transpose(1, 0)
+
+ pos_edges_list.append(edges_pos)
+ neg_edges_list.append(negative_sampling(to_undirected(edges_pos), num_neg_samples=edges_pos.size(1)))
+
+ return pos_edges_list, neg_edges_list
diff --git a/HTGN/utils/make_edges_orign.py b/HTGN/utils/make_edges_orign.py
new file mode 100644
index 0000000000000000000000000000000000000000..270f462c8b081034c7e06ac8db2a9aa47d78646f
--- /dev/null
+++ b/HTGN/utils/make_edges_orign.py
@@ -0,0 +1,277 @@
+import numpy as np
+import scipy.sparse as sp
+
+
+def mask_edges_prd(adjs_list):
+ pos_edges_l, false_edges_l = [], []
+ edges_list = []
+ for i in range(0, len(adjs_list)):
+ # Function to build test set with 10% positive links
+ # NOTE: Splits are randomized and results might slightly deviate from reported numbers in the paper.
+
+ adj = adjs_list[i]
+ # Remove diagonal elements
+ adj = adj - sp.dia_matrix((adj.diagonal()[np.newaxis, :], [0]), shape=adj.shape)
+ adj.eliminate_zeros()
+ # Check that diag is zero:
+ assert np.diag(adj.todense()).sum() == 0
+
+ adj_triu = sp.triu(adj)
+ adj_tuple = sparse_to_tuple(adj_triu)
+ edges = adj_tuple[0]
+ edges_all = sparse_to_tuple(adj)[0]
+ num_false = int(edges.shape[0])
+
+ pos_edges_l.append(edges)
+
+ def ismember(a, b, tol=5):
+ rows_close = np.all(np.round(a - b[:, None], tol) == 0, axis=-1)
+ return np.any(rows_close)
+
+ edges_false = []
+ while len(edges_false) < num_false:
+ idx_i = np.random.randint(0, adj.shape[0])
+ idx_j = np.random.randint(0, adj.shape[0])
+ if idx_i == idx_j:
+ continue
+ if ismember([idx_i, idx_j], edges_all):
+ continue
+ if edges_false:
+ if ismember([idx_j, idx_i], np.array(edges_false)):
+ continue
+ if ismember([idx_i, idx_j], np.array(edges_false)):
+ continue
+ edges_false.append([idx_i, idx_j])
+
+ assert ~ismember(edges_false, edges_all)
+
+ false_edges_l.append(np.asarray(edges_false))
+
+ # NOTE: these edge lists only contain single direction of edge!
+ return pos_edges_l, false_edges_l
+
+
+def test_adj(adjs_list, adj_orig_dense_list):
+ # this method is to test the adj_list and adj_orig_dense_list is same or not
+ for i, a in enumerate(adj_orig_dense_list):
+ a = sp.csr_matrix(a)
+ a = a - sp.dia_matrix((a.diagonal()[np.newaxis, :], [0]), shape=a.shape)
+ a.eliminate_zeros()
+ assert np.diag(a.todense()).sum() == 0
+ team1 = sp.csr_matrix(a).todok().tocoo()
+ print(len(list(team1.col.reshape(-1))))
+
+ adj = adjs_list[i]
+ adj = adj - sp.dia_matrix((adj.diagonal()[np.newaxis, :], [0]), shape=adj.shape)
+ adj.eliminate_zeros()
+ assert np.diag(adj.todense()).sum() == 0
+ team2 = sp.csr_matrix(adj).todok().tocoo()
+
+ print(len(list(team2.col.reshape(-1))))
+ print('==')
+
+
+def mask_edges_prd_new(adjs_list, adj_orig_dense_list):
+ # produce new edge index
+ pos_edges_l, false_edges_l = [], []
+
+ # the first snapshots
+ adj = adjs_list[0]
+ # Remove diagonal elements
+ adj = adj - sp.dia_matrix((adj.diagonal()[np.newaxis, :], [0]), shape=adj.shape)
+ adj.eliminate_zeros()
+ # Check that diag is zero:
+ assert np.diag(adj.todense()).sum() == 0
+
+ adj_triu = sp.triu(adj)
+ edges = sparse_to_tuple(adj_triu)[0] # single direction
+ edges_all = sparse_to_tuple(adj)[0] # all
+
+ pos_edges_l.append(edges)
+
+ num_false = int(edges.shape[0])
+
+ def ismember(a, b, tol=5):
+ rows_close = np.all(np.round(a - b[:, None], tol) == 0, axis=-1)
+ return np.any(rows_close)
+
+ edges_false = []
+ while len(edges_false) < num_false:
+ idx_i = np.random.randint(0, adj.shape[0])
+ idx_j = np.random.randint(0, adj.shape[0])
+ if idx_i == idx_j:
+ continue
+ if ismember([idx_i, idx_j], edges_all):
+ continue
+ if edges_false:
+ if ismember([idx_j, idx_i], np.array(edges_false)):
+ continue
+ if ismember([idx_i, idx_j], np.array(edges_false)):
+ continue
+ edges_false.append([idx_i, idx_j])
+
+ assert ~ismember(edges_false, edges_all)
+ false_edges_l.append(np.asarray(edges_false))
+
+ # the next snapshots
+ for i in range(1, len(adjs_list)):
+ edges_pos = np.transpose(np.asarray(np.where((adj_orig_dense_list[i] - adj_orig_dense_list[i - 1]) > 0)))
+ num_false = int(edges_pos.shape[0])
+ adj = adjs_list[i] # current adj
+ # Remove diagonal elements
+ adj = adj - sp.dia_matrix((adj.diagonal()[np.newaxis, :], [0]), shape=adj.shape)
+ adj.eliminate_zeros()
+ assert np.diag(adj.todense()).sum() == 0
+
+ edges_all = sparse_to_tuple(adj)[0]
+
+ edges_false = []
+ while len(edges_false) < num_false:
+ idx_i = np.random.randint(0, adj.shape[0])
+ idx_j = np.random.randint(0, adj.shape[0])
+ if idx_i == idx_j: # filter self-loop
+ continue
+ if ismember([idx_i, idx_j], edges_all): # filter old edges
+ continue
+ if edges_false:
+ if ismember([idx_j, idx_i], np.array(edges_false)):
+ continue
+ if ismember([idx_i, idx_j], np.array(edges_false)):
+ continue
+ edges_false.append([idx_i, idx_j])
+
+ assert ~ismember(edges_false, edges_all)
+
+ false_edges_l.append(np.asarray(edges_false))
+ pos_edges_l.append(edges_pos)
+
+ # NOTE: these edge lists only contain single direction of edge!
+ return pos_edges_l, false_edges_l
+
+
+def mask_edges_prd_new_by_marlin(adjs_list):
+ # This code is same with the previous one but only need to one spare adj matrix
+
+ pos_edges_l, false_edges_l = [], []
+
+ # 1. the first snapshots
+ adj = adjs_list[0]
+ # 1.1 Remove diagonal elements
+ adj = adj - sp.dia_matrix((adj.diagonal()[np.newaxis, :], [0]), shape=adj.shape)
+ adj.eliminate_zeros()
+ # 1.2 Check that diag is zero:
+ assert np.diag(adj.todense()).sum() == 0
+
+ adj_triu = sp.triu(adj)
+ edges = sparse_to_tuple(adj_triu)[0] # single direction
+ edges_all = sparse_to_tuple(adj)[0] # all
+
+ pos_edges_l.append(edges)
+
+ num_false = int(edges.shape[0])
+
+ def ismember(a, b, tol=5):
+ rows_close = np.all(np.round(a - b[:, None], tol) == 0, axis=-1)
+ return np.any(rows_close)
+
+ # 1.3 negative sampling
+ edges_false = []
+ while len(edges_false) < num_false:
+ idx_i = np.random.randint(0, adj.shape[0])
+ idx_j = np.random.randint(0, adj.shape[0])
+ if idx_i == idx_j:
+ continue
+ if ismember([idx_i, idx_j], edges_all):
+ continue
+ if edges_false:
+ if ismember([idx_j, idx_i], np.array(edges_false)):
+ continue
+ if ismember([idx_i, idx_j], np.array(edges_false)):
+ continue
+ edges_false.append([idx_i, idx_j])
+
+ assert ~ismember(edges_false, edges_all)
+ false_edges_l.append(np.asarray(edges_false))
+
+ # 2. the next snapshots
+ for i in range(1, len(adjs_list)):
+ # 2.1 get new edge_index
+ edges = sparse_to_tuple(adjs_list[i])[0] # current edges
+ last_edges = sparse_to_tuple(adjs_list[i - 1])[0] # last edges
+ edges_perm = edges[:, 0] * 1e5 + edges[:, 1] # hash current edges
+ last_edges_perm = last_edges[:, 0] * 1e5 + last_edges[:, 1] # hash last edges
+ perm = np.setdiff1d(edges_perm, np.intersect1d(edges_perm, last_edges_perm)) # new edges: edge-edge^last_edge
+ edges_pos = np.vstack(np.divmod(perm, 1e5)).transpose().astype(np.int64) # convert perm to indices
+ num_false = int(edges_pos.shape[0])
+
+ # 2.2 get all pos edge to avoid being sampled
+ adj = adjs_list[i] # current adj
+ adj = adj - sp.dia_matrix((adj.diagonal()[np.newaxis, :], [0]), shape=adj.shape)
+ adj.eliminate_zeros()
+ assert np.diag(adj.todense()).sum() == 0
+ edges_all = sparse_to_tuple(adj)[0]
+
+ # 2.3 sample equal size of neg edges
+ edges_false = []
+ while len(edges_false) < num_false:
+ idx_i = np.random.randint(0, adj.shape[0])
+ idx_j = np.random.randint(0, adj.shape[0])
+ if idx_i == idx_j: # filter self-loop
+ continue
+ if ismember([idx_i, idx_j], edges_all): # filter old edges
+ continue
+ if edges_false:
+ if ismember([idx_j, idx_i], np.array(edges_false)):
+ continue
+ if ismember([idx_i, idx_j], np.array(edges_false)):
+ continue
+ edges_false.append([idx_i, idx_j])
+
+ assert ~ismember(edges_false, edges_all)
+
+ false_edges_l.append(np.asarray(edges_false))
+ pos_edges_l.append(edges_pos)
+
+ # NOTE: these edge lists only contain single direction of edge!
+ return pos_edges_l, false_edges_l
+
+
+def tuple_to_array(lot):
+ out = np.array(list(lot[0]))
+ for i in range(1, len(lot)):
+ out = np.vstack((out, np.array(list(lot[i]))))
+ return out
+
+
+def sparse_to_tuple(sparse_mx):
+ if not sp.isspmatrix_coo(sparse_mx):
+ sparse_mx = sparse_mx.tocoo()
+ coords = np.vstack((sparse_mx.row, sparse_mx.col)).transpose()
+ values = sparse_mx.data
+ shape = sparse_mx.shape
+ return coords, values, shape
+
+
+def mask_edges_det(adjs_list):
+ '''
+ produce edge_index in np format
+ '''
+ edges_list = []
+ biedges_list = []
+ for i in range(0, len(adjs_list)):
+ adj = adjs_list[i]
+ # Remove diagonal elements
+ adj = adj - sp.dia_matrix((adj.diagonal()[np.newaxis, :], [0]), shape=adj.shape)
+ adj.eliminate_zeros()
+ # Check that diag is zero:
+ assert np.diag(adj.todense()).sum() == 0
+
+ adj_triu = sp.triu(adj)
+ edges = sparse_to_tuple(adj_triu)[0] # single directional
+ np.random.shuffle(edges)
+ edges_list.append(edges)
+ biedges = sparse_to_tuple(adj)[0] # bidirectional edges
+ np.random.shuffle(biedges)
+ biedges_list.append(biedges)
+
+ return edges_list, biedges_list
diff --git a/HTGN/utils/util.py b/HTGN/utils/util.py
new file mode 100644
index 0000000000000000000000000000000000000000..fea5b9a986496e91510e803905ddea68bbcfdd29
--- /dev/null
+++ b/HTGN/utils/util.py
@@ -0,0 +1,130 @@
+import random
+import os
+import torch
+import numpy as np
+import logging
+
+logger = logging.getLogger()
+disease_path = '../data/input/raw/disease/disease_lp.feats.npz'
+
+
+def mkdirs(folder):
+ if not os.path.isdir(folder):
+ os.makedirs(folder)
+ return folder
+
+
+def write_to_text(args, results, seed):
+ if args.to_compute_results:
+ with open(args.result_txt, "a") as f:
+ data = str(seed) + '\t' + '\t'.join(['{:.6f}'.format(result) for result in results[1:]]) + '\n'
+ f.write(data)
+ else:
+ print('Not write to file')
+
+
+def compute_mean_std(args):
+ if args.to_compute_results:
+ results = np.loadtxt(args.result_txt, delimiter='\t')
+ results = results[:, 1:]
+ mean_list = np.mean(results, axis=0)
+ std_list = np.std(results, axis=0)
+ with open(args.result_txt, "a") as f:
+ data = 'results: ' + '\t'.join(
+ ['{:.2f}+{:.2f}'.format(mean * 100, std * 100) for mean, std in zip(mean_list, std_list)]) + '\n'
+ f.write(data)
+ else:
+ print('Not write to file')
+
+
+def set_random(random_seed):
+ random.seed(random_seed)
+ np.random.seed(random_seed)
+ torch.manual_seed(random_seed)
+ torch.cuda.manual_seed(random_seed)
+ torch.cuda.manual_seed_all(random_seed)
+ # torch.backends.cudnn.benchmark = False
+ torch.backends.cudnn.deterministic = True
+ print('>> fixed random seed')
+
+
+def init_logger(log_file=None):
+ log_format = logging.Formatter("[%(asctime)s %(levelname)s] %(message)s")
+ logger = logging.getLogger()
+ logger.setLevel(logging.INFO)
+
+ console_handler = logging.StreamHandler()
+ console_handler.setFormatter(log_format)
+ logger.handlers = [console_handler]
+
+ if log_file and log_file != '':
+ file_handler = logging.FileHandler(log_file)
+ file_handler.setFormatter(log_format)
+ logger.addHandler(file_handler)
+
+ return logger
+
+
+def adjust_learning_rate(lr, optimizer, epoch):
+ lr = lr * (0.1 ** (epoch // 30))
+ for param_group in optimizer.param_groups:
+ param_group['lr'] = lr
+
+
+def filters(edge_index, threshold):
+ return np.where(np.where(edge_index >= threshold, 1, 0).sum(axis=0) == 0)
+
+
+def neg_sampling_basic(edge_index, num_nodes):
+ import random
+ num_neg_samples = edge_index.shape[1]
+ idx = edge_index[0] * num_nodes + edge_index[1]
+ rng = range(num_nodes ** 2)
+ perm = torch.tensor(random.sample(rng, num_neg_samples))
+ mask = torch.from_numpy(np.isin(perm, idx)).to(torch.bool)
+ rest = mask.nonzero().view(-1)
+ while rest.numel() > 0: # pragma: no cover
+ tmp = torch.tensor(random.sample(rng, rest.size(0)))
+ mask = torch.from_numpy(np.isin(tmp, idx)).to(torch.bool)
+ perm[rest] = tmp
+ rest = rest[mask.nonzero().view(-1)]
+ row, col = torch.true_divide(perm, num_nodes), perm % num_nodes
+ return torch.stack([row, col], dim=0).long().numpy()
+
+
+def negative_sampling(adjs, cum_nodes):
+ '''
+ negative sampling each time stamp without sampling previous time
+ '''
+
+ history_perm = []
+ neg_adjs = []
+ for t in range(len(adjs)):
+ edge_index = adjs[t]
+ num_nodes = len(cum_nodes[t])
+ num_neg_samples = edge_index.shape[1] # get number of negative sampling nodes
+ current_perm = edge_index[0] * num_nodes + edge_index[1] # obtain the total hash slots
+ idx = np.concatenate([current_perm, history_perm]) # expand the slots with historical slots
+ rng = range(num_nodes ** 2) # get range of negative sampling
+ perm = torch.tensor(random.sample(rng, num_neg_samples)) # get negative perm
+ mask = torch.from_numpy(np.isin(perm, idx)).to(torch.bool)
+ rest = mask.nonzero().view(-1)
+ while rest.numel() > 0: # pragma: no cover
+ tmp = torch.tensor(random.sample(rng, rest.size(0)))
+ mask = torch.from_numpy(np.isin(tmp, idx)).to(torch.bool)
+ perm[rest] = tmp
+ rest = rest[mask.nonzero().view(-1)]
+ # row, col = perm / num_nodes, perm % num_nodes
+ row, col = torch.true_divide(perm, num_nodes), perm % num_nodes
+ neg_adjs.append(torch.stack([row, col], dim=0).long())
+ history_perm += list(perm.numpy())
+ return neg_adjs
+
+
+def total_pairwise_similarity(x):
+ # x = F.normalize(x)
+ z = torch.matmul(x, x.transpose(0, 1))
+ n = z.size(1) * (z.size(1) - 1) # A_2^n
+ total_similarity = torch.sum(z) - torch.sum(z.diagonal())
+ average = total_similarity / n
+ return 1 - average
diff --git a/LineGraphSage/linegraph.py b/LineGraphSage/linegraph.py
new file mode 100644
index 0000000000000000000000000000000000000000..ffbe0be16daedeeeeb956918d0f378c70fc58f2e
--- /dev/null
+++ b/LineGraphSage/linegraph.py
@@ -0,0 +1,61 @@
+import torch.nn as nn
+import torch as th
+from torch_geometric.nn import GraphSAGE
+from utils import create_graph,compute_metrics
+import warnings
+import pandas as pd
+import time
+import numpy as np
+warnings.simplefilter('ignore')
+
+class LineGraph:
+
+ def __init__(self,adj,features,labels,dim,epochs=50,seed=42):
+ self.G_torch,self.idx_train,self.idx_val,self.idx_test = create_graph(adj,features,labels,seed)
+ self.epochs = epochs
+ self.model = GraphSAGE(
+ in_channels = features.shape[1],
+ hidden_channels = dim,
+ out_channels = 2,
+ num_layers = 2,
+ dropout=0.1
+ ).cuda()
+
+ self.criterion = nn.CrossEntropyLoss()
+ self.opt = th.optim.Adam(self.model.parameters())
+
+ def fit(self):
+ start = time.time()
+ train_losses,best_losses,val_losses = [],[],[]
+ for epoch in range(self.epochs):
+ self.model.train()
+ self.opt.zero_grad()
+ pred = self.model(self.G_torch.x, self.G_torch.edge_index)
+ loss = self.criterion(pred[self.idx_train], self.G_torch.y[self.idx_train])
+ train_losses.append(loss.item())
+ if(len(best_losses) == 0):
+ best_losses.append(train_losses[0])
+ elif (best_losses[-1] > train_losses[-1]):
+ best_losses.append(train_losses[-1])
+ else:
+ best_losses.append(best_losses[-1])
+ loss.backward()
+ self.opt.step()
+
+ print(f'Epoch: {epoch}',compute_metrics(pred[self.idx_train], self.G_torch.y[self.idx_train]))
+
+ self.model.eval()
+ pred = self.model(self.G_torch.x, self.G_torch.edge_index)
+ loss = self.criterion(pred[self.idx_val], self.G_torch.y[self.idx_val])
+ val_losses.append(loss.item())
+ acc,f1,recall,precision,roc_auc = compute_metrics(pred[self.idx_val], self.G_torch.y[self.idx_val])
+ print('val:',acc,f1,recall,precision,roc_auc)
+
+ return {'train':train_losses,'best':best_losses,'val':val_losses},acc,f1,recall,precision,roc_auc,time.time() - start
+
+ def predict(self):
+ self.model.eval()
+ pred = self.model(self.G_torch.x, self.G_torch.edge_index)
+ loss = self.criterion(pred[self.idx_test], self.G_torch.y[self.idx_test])
+ acc,f1,recall,precision,roc_auc = compute_metrics(pred[self.idx_test], self.G_torch.y[self.idx_test])
+ return loss,acc,f1,recall,precision,roc_auc
diff --git a/LineGraphSage/main.py b/LineGraphSage/main.py
new file mode 100644
index 0000000000000000000000000000000000000000..d4200f6a1302d1ecb0b14e5503421019fca3a991
--- /dev/null
+++ b/LineGraphSage/main.py
@@ -0,0 +1,26 @@
+import pickle
+import os
+from linegraph import LineGraph
+
+def load_samples():
+ adj_path = os.path.join(os.getcwd(),'datasets','unsw_nb','adjacency.pkl')
+ features_path = os.path.join(os.getcwd(),'datasets','unsw_nb','features.pkl')
+ labels_path = os.path.join(os.getcwd(),'datasets','unsw_nb','labels.pkl')
+ with open(adj_path,'rb') as f:
+ adj = pickle.load(f)
+ with open(features_path,'rb') as f:
+ features = pickle.load(f)
+ with open(labels_path,'rb') as f:
+ labels = pickle.load(f)
+ print('features:',features.shape,'adj',adj.shape,'labels',labels.shape)
+ return adj,features,labels
+
+if __name__ == "__main__":
+ adj,features,labels = load_samples()
+ model = LineGraph(adj=adj,features=features,labels=labels,dim=20)
+ loss,acc,f1,recall,precision,roc_auc,training_time = model.fit()
+ print("------------------------------")
+ print('train:',acc,f1,recall,precision,roc_auc,training_time)
+ loss,acc,f1,recall,precision,roc_auc = model.predict()
+ print('test:',acc,f1,recall,precision,roc_auc)
+
\ No newline at end of file
diff --git a/LineGraphSage/test.py b/LineGraphSage/test.py
new file mode 100644
index 0000000000000000000000000000000000000000..cdf57d34b89de7896b3f1ed9a4e2a83eef7ec221
--- /dev/null
+++ b/LineGraphSage/test.py
@@ -0,0 +1,130 @@
+import numpy as np
+import matplotlib.pyplot as plt
+import pandas as pd
+import torch
+import os
+import math
+from linegraph import LineGraph
+import pickle
+
+def load_samples(r,dataset):
+ adj_path = os.path.join(os.getcwd(),'datasets',dataset,f'adjacency_{r}.pkl')
+ features_path = os.path.join(os.getcwd(),'datasets',dataset,f'features_{r}.pkl')
+ labels_path = os.path.join(os.getcwd(),'datasets',dataset,f'labels_{r}.pkl')
+ with open(adj_path,'rb') as f:
+ adj = pickle.load(f)
+ with open(features_path,'rb') as f:
+ features = pickle.load(f)
+ with open(labels_path,'rb') as f:
+ labels = pickle.load(f)
+ print('features:',features.shape,'adj',adj.shape,'labels',labels.shape)
+ return adj,features,labels
+
+def testing(NAME,TEST_PROP,EPOCHS,EMBEDDING_DIMS,REPETITIONS,dataset):
+ statistics = {}
+ for dim in EMBEDDING_DIMS:
+ print(f'START DIM {dim} ***************************')
+ dim_statistics = []
+ for r in range(REPETITIONS):
+ torch.cuda.empty_cache()
+ adj,features,labels = load_samples(r,dataset)
+ model = None
+ if(NAME == 'LineGraph'):
+ model = LineGraph(adj=adj,features=features,labels=labels,dim=dim,epochs=EPOCHS)
+ print(f"START REPETITION: {NAME} -------------------------------")
+ loss_training,acc_training,f1_training,recall_training,precision_training,roc_auc_training,training_time = model.fit()
+ loss_testing,acc_testing,f1_testing,recall_testing,precision_testing,roc_auc_testing = model.predict()
+ stats = {'train':{'loss':loss_training,'acc':acc_training,'f1':f1_training,'recall':recall_training,'precision':precision_training,'roc_auc':roc_auc_training,'time':training_time},
+ 'test':{'loss':loss_testing,'acc':acc_testing,'f1':f1_testing,'recall':recall_testing,'precision':precision_testing,'roc_auc':roc_auc_testing}}
+ dim_statistics.append(stats)
+ del model
+ statistics[f'{dim}'] = dim_statistics
+ print('THE TESTING IS OVER !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!')
+ return statistics
+
+def calculate_avg_std(stats,list_scores,etiq):
+ avgs = []
+ stds = []
+ for score in list_scores:
+ all_values = []
+ for repetition_stats in stats:
+ all_values.append(repetition_stats[etiq][score])
+ avgs.append(np.mean(all_values))
+ # stds.append(np.std(all_values))
+ return avgs,stds
+
+def print_stats_per_dim(list_dim,stats,name,dataset):
+ list_scores_train = ['acc','f1','recall','precision','roc_auc','time']
+ list_scores_test = ['acc','f1','recall','precision','roc_auc']
+ df = pd.DataFrame({})
+ for i in range(len(list_dim)):
+ dim = list_dim[i]
+ dstats = stats[str(dim)]
+ print("THE STATISTICS OF THE DIMENSION {}:".format(dim))
+ print('',"TESING:","---------",sep='\n')
+ avgs,stds = calculate_avg_std(dstats,list_scores_test,'test')
+ for i in range(len(list_scores_test)):
+ # print(f"{list_scores_test[i]}: avg={avgs[i]}, std={stds[i]}")
+ df[f'{dim}_{list_scores_test[i]}_avg'] = [round(avgs[i],4)]
+ # df[f'{dim}_{list_scores_test[i]}_ci'] = [round(1.96*stds[i]/math.sqrt(repetition),4)]
+ # df[f'{dim}_{list_scores_test[i]}_std'] = [round(stds[i],4)]
+ print('',"********************************","",sep='\n')
+ print('',"TRAINING:","---------",sep='\n')
+ avgs,stds = calculate_avg_std(dstats,list_scores_train,'train')
+ # for i in range(len(list_scores_train)):
+ # print(f"{list_scores_train[i]}: avg={avgs[i]}, std={stds[i]}")
+ df[f'{dim}_{list_scores_train[-1]}_avg'] = [round(avgs[-1],4)]
+ # df[f'{dim}_{list_scores_train[-1]}_ci'] = [round(1.96*stds[-1]/math.sqrt(repetition),4)]
+ # df[f'{dim}_{list_scores_train[-1]}_std'] = [round(stds[-1],4)]
+
+ path = os.path.join(os.getcwd(),'results',name,f'{name}_{dataset}_statistics.csv')
+ df.to_csv(path, index=False)
+
+
+def plot_dim_loss(dim,stats,epochs,name,etiq,dataset):
+ x = range(epochs)
+ for i in range(len(stats)):
+ y_real = stats[i]['train']['loss'][etiq]
+ plt.plot(x, y_real,label=f'rep {i}')
+ plt.xlabel('epochs')
+ plt.ylabel('loss')
+ plt.legend()
+ path = os.path.join(os.getcwd(),'results',name,f'{name}_{dim}_{dataset}_{etiq}.png')
+ plt.savefig(path)
+ plt.close()
+
+def plot_dim_loss_train_val(dim,stats,epochs,name,etiq,dataset):
+ x = range(epochs)
+ y_real = stats[-1]['train']['loss'][etiq]
+ y_val = stats[-1]['train']['loss']['val']
+ plt.plot(x, y_real,label=f'train')
+ plt.plot(x, y_val,label=f'val')
+ plt.xlabel('epochs')
+ plt.ylabel('loss')
+ plt.legend()
+ path = os.path.join(os.getcwd(),'results',name,f'{name}_{dim}_{dataset}_{etiq}_val_train.png')
+ plt.savefig(path)
+ plt.close()
+
+def plot_loss(statistics,name,dims,epochs):
+ for dim in dims:
+ plot_dim_loss(dim,statistics[str(dim)],epochs,name,'train')
+ plot_dim_loss(dim,statistics[str(dim)],epochs,name,'best')
+ plot_dim_loss_train_val(dim,statistics[str(dim)],epochs,name,'train')
+ plot_dim_loss_train_val(dim,statistics[str(dim)],epochs,name,'best')
+
+
+
+def do_it():
+ EPOCHS = 50
+ REPETITIONS = 5
+ TEST_PROP = .3
+ EMBEDDING_DIMS= [2,5,10,20]
+ dataset= 'unsw_nb'
+ NAME = 'LineGraph'
+ statistics = testing(NAME,TEST_PROP,EPOCHS,EMBEDDING_DIMS,REPETITIONS,dataset)
+ print_stats_per_dim(EMBEDDING_DIMS,statistics,name=NAME,dataset=dataset)
+ # plot_loss(statistics,NAME,EMBEDDING_DIMS,EPOCHS)
+
+
+do_it()
\ No newline at end of file
diff --git a/LineGraphSage/utils.py b/LineGraphSage/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..37fca010cc3a77a459c535225c3d6a6bbadddea8
--- /dev/null
+++ b/LineGraphSage/utils.py
@@ -0,0 +1,55 @@
+import torch
+from torch_geometric.data import Data
+import numpy as np
+
+
+def filling_adjacency_numpy(data):
+ N = data.shape[0]
+ try:
+ adjacency = np.zeros((N,N), dtype=bool)
+ except Exception as e:
+ print(f"An error occurred: {e}")
+
+ source_ips = data[' Source IP'].to_numpy()
+ destination_ips = data[' Destination IP'].to_numpy()
+ mask = ((source_ips[:, np.newaxis] == source_ips) | (source_ips[:, np.newaxis] == destination_ips) | (destination_ips[:, np.newaxis] == source_ips)| (destination_ips[:, np.newaxis] == destination_ips) )
+ adjacency[mask] = True
+ return adjacency
+
+
+def split_data(labels, val_prop, test_prop, seed):
+ np.random.seed(seed)
+ pos_idx = labels.nonzero()[0]
+ neg_idx = (1. - labels).nonzero()[0]
+ np.random.shuffle(pos_idx)
+ np.random.shuffle(neg_idx)
+ pos_idx = pos_idx.tolist()
+ neg_idx = neg_idx.tolist()
+ nb_pos_neg = min(len(pos_idx), len(neg_idx))
+ nb_val = round(val_prop * nb_pos_neg)
+ nb_test = round(test_prop * nb_pos_neg)
+ idx_val_pos, idx_test_pos, idx_train_pos = pos_idx[:nb_val], pos_idx[nb_val:nb_val + nb_test], pos_idx[
+ nb_val + nb_test:]
+ idx_val_neg, idx_test_neg, idx_train_neg = neg_idx[:nb_val], neg_idx[nb_val:nb_val + nb_test], neg_idx[
+ nb_val + nb_test:]
+ return idx_val_pos + idx_val_neg, idx_test_pos + idx_test_neg, idx_train_pos + idx_train_neg
+
+
+def create_graph(adj,features,labels,seed):
+ non_zero_indices = np.nonzero(adj)
+ indices = torch.tensor(non_zero_indices, dtype=torch.long)
+ values = torch.tensor(adj[non_zero_indices], dtype=torch.float32)
+ size = torch.Size(adj.shape)
+ edge_index = torch.sparse_coo_tensor(indices, values, size).to_sparse_csr()
+ idx_train,idx_val,idx_test = split_data(labels,val_prop=.2,test_prop=.3,seed=seed)
+ labels = torch.tensor(labels).type(torch.LongTensor)
+ features = torch.tensor(features,dtype=torch.float32)
+ G_torch = Data(x=features, edge_index=edge_index, y=labels).cuda()
+ return G_torch,idx_train,idx_val,idx_test
+
+from sklearn.metrics import accuracy_score,f1_score,recall_score,precision_score,roc_auc_score
+
+def compute_metrics(pred, labels):
+ pred = pred.argmax(1).cpu().detach().numpy()
+ labels = labels.cpu().detach().numpy()
+ return accuracy_score(labels,pred),f1_score(labels,pred),recall_score(labels,pred),precision_score(labels,pred),roc_auc_score(labels,pred)
\ No newline at end of file
diff --git a/VGRNN/VGRNN_detection.py b/VGRNN/VGRNN_detection.py
new file mode 100644
index 0000000000000000000000000000000000000000..a6ca121db87c76d1587c195ecec46037ba1639ff
--- /dev/null
+++ b/VGRNN/VGRNN_detection.py
@@ -0,0 +1,990 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[1]:
+
+
+#importing libraries
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import math
+import numpy as np
+import torch
+import torch.nn as nn
+import torch.utils
+import torch.utils.data
+from torchvision import datasets, transforms
+from torch.autograd import Variable
+import matplotlib.pyplot as plt
+from scipy.ndimage import rotate
+from torch.distributions.uniform import Uniform
+from torch.distributions.normal import Normal
+# from torch_geometric import nn as tgnn
+import scipy.sparse as sp
+from scipy.linalg import block_diag
+from torch.nn.parameter import Parameter
+from torch.nn.modules.module import Module
+import tarfile
+import torch.nn.functional as F
+import copy
+import time
+from torch_scatter import scatter_mean, scatter_max, scatter_add
+from torch_geometric.utils import remove_self_loops, add_self_loops
+from torch_geometric.datasets import Planetoid
+import networkx as nx
+import scipy.io as sio
+import torch_scatter
+import inspect
+from sklearn.metrics import roc_auc_score
+from sklearn.metrics import average_precision_score
+import copy
+import pickle
+import warnings
+warnings.filterwarnings('ignore')
+
+# In[17]:
+
+
+seed = 3
+np.random.seed(seed)
+
+
+# In[18]:
+
+
+# utility functions
+
+def uniform(size, tensor):
+ stdv = 1.0 / math.sqrt(size)
+ if tensor is not None:
+ tensor.data.uniform_(-stdv, stdv)
+
+
+def glorot(tensor):
+ stdv = math.sqrt(6.0 / (tensor.size(0) + tensor.size(1)))
+ if tensor is not None:
+ tensor.data.uniform_(-stdv, stdv)
+
+
+def zeros(tensor):
+ if tensor is not None:
+ tensor.data.fill_(0)
+
+
+def ones(tensor):
+ if tensor is not None:
+ tensor.data.fill_(1)
+
+
+def reset(nn):
+ def _reset(item):
+ if hasattr(item, 'reset_parameters'):
+ item.reset_parameters()
+
+ if nn is not None:
+ if hasattr(nn, 'children') and len(list(nn.children())) > 0:
+ for item in nn.children():
+ _reset(item)
+ else:
+ _reset(nn)
+
+
+def scatter_(name, src, index, dim_size=None):
+ r"""Aggregates all values from the :attr:`src` tensor at the indices
+ specified in the :attr:`index` tensor along the first dimension.
+ If multiple indices reference the same location, their contributions
+ are aggregated according to :attr:`name` (either :obj:`"add"`,
+ :obj:`"mean"` or :obj:`"max"`).
+ Args:
+ name (string): The aggregation to use (:obj:`"add"`, :obj:`"mean"`,
+ :obj:`"max"`).
+ src (Tensor): The source tensor.
+ index (LongTensor): The indices of elements to scatter.
+ dim_size (int, optional): Automatically create output tensor with size
+ :attr:`dim_size` in the first dimension. If set to :attr:`None`, a
+ minimal sized output tensor is returned. (default: :obj:`None`)
+ :rtype: :class:`Tensor`
+ """
+
+ assert name in ['add', 'mean', 'max']
+
+ op = getattr(torch_scatter, 'scatter_{}'.format(name))
+ fill_value = -1e38 if name == 'max' else 0
+
+ out = op(src, index, 0, None, dim_size)
+ #out = op(src, index,dim_size)
+ if isinstance(out, tuple):
+ out = out[0]
+
+ if name == 'max':
+ out[out == fill_value] = 0
+
+ return out
+
+
+class MessagePassing(torch.nn.Module):
+ r"""Base class for creating message passing layers
+ .. math::
+ \mathbf{x}_i^{\prime} = \gamma_{\mathbf{\Theta}} \left( \mathbf{x}_i,
+ \square_{j \in \mathcal{N}(i)} \, \phi_{\mathbf{\Theta}}
+ \left(\mathbf{x}_i, \mathbf{x}_j,\mathbf{e}_{i,j}\right) \right),
+ where :math:`\square` denotes a differentiable, permutation invariant
+ function, *e.g.*, sum, mean or max, and :math:`\gamma_{\mathbf{\Theta}}`
+ and :math:`\phi_{\mathbf{\Theta}}` denote differentiable functions such as
+ MLPs.
+ See `here <https://rusty1s.github.io/pytorch_geometric/build/html/notes/
+ create_gnn.html>`__ for the accompanying tutorial.
+ """
+
+ def __init__(self, aggr='add'):
+ super(MessagePassing, self).__init__()
+ self.message_args = inspect.getfullargspec(self.message)[0][1:]
+ self.update_args = inspect.getfullargspec(self.update)[0][2:]
+
+ def propagate(self, aggr, edge_index, **kwargs):
+ r"""The initial call to start propagating messages.
+ Takes in an aggregation scheme (:obj:`"add"`, :obj:`"mean"` or
+ :obj:`"max"`), the edge indices, and all additional data which is
+ needed to construct messages and to update node embeddings."""
+ assert aggr in ['add', 'mean', 'max']
+ kwargs['edge_index'] = edge_index
+
+ size = None
+ message_args = []
+ for arg in self.message_args:
+ if arg[-2:] == '_i':
+ tmp = kwargs[arg[:-2]]
+ size = tmp.size(0)
+ message_args.append(tmp[edge_index[0]])
+ elif arg[-2:] == '_j':
+ tmp = kwargs[arg[:-2]]
+ size = tmp.size(0)
+ message_args.append(tmp[edge_index[1]])
+ else:
+ message_args.append(kwargs[arg])
+
+ update_args = [kwargs[arg] for arg in self.update_args]
+ out = self.message(*message_args)
+ out = scatter_(aggr, out, edge_index[0], dim_size=size)
+ out = self.update(out, *update_args)
+
+ return out
+
+ def message(self, x_j): # pragma: no cover
+ r"""Constructs messages in analogy to :math:`\phi_{\mathbf{\Theta}}`
+ for each edge in :math:`(i,j) \in \mathcal{E}`.
+ Can take any argument which was initially passed to :meth:`propagate`.
+ In addition, features can be lifted to the source node :math:`i` and
+ target node :math:`j` by appending :obj:`_i` or :obj:`_j` to the
+ variable name, *.e.g.* :obj:`x_i` and :obj:`x_j`."""
+
+ return x_j
+
+ def update(self, aggr_out): # pragma: no cover
+ r"""Updates node embeddings in analogy to
+ :math:`\gamma_{\mathbf{\Theta}}` for each node
+ :math:`i \in \mathcal{V}`.
+ Takes in the output of aggregation as first argument and any argument
+ which was initially passed to :meth:`propagate`."""
+
+ return aggr_out
+
+
+def tuple_to_array(lot):
+ out = np.array(list(lot[0]))
+ for i in range(1, len(lot)):
+ out = np.vstack((out, np.array(list(lot[i]))))
+
+ return out
+
+
+# In[19]:
+
+
+# masking functions
+
+def mask_edges_det(adjs_list):
+ adj_train_l, train_edges_l, val_edges_l = [], [], []
+ val_edges_false_l, test_edges_l, test_edges_false_l = [], [], []
+ edges_list = []
+ for i in range(0, len(adjs_list)):
+ # Function to build test set with 10% positive links
+ # NOTE: Splits are randomized and results might slightly deviate from reported numbers in the paper.
+
+ adj = adjs_list[i]
+ # Remove diagonal elements
+ adj = adj - sp.dia_matrix((adj.diagonal()[np.newaxis, :], [0]), shape=adj.shape)
+ adj.eliminate_zeros()
+ # Check that diag is zero:
+ assert np.diag(adj.todense()).sum() == 0
+
+ adj_triu = sp.triu(adj)
+ adj_tuple = sparse_to_tuple(adj_triu)
+ edges = adj_tuple[0]
+ edges_all = sparse_to_tuple(adj)[0]
+ num_test = int(np.floor(edges.shape[0] / 10.))
+ num_val = int(np.floor(edges.shape[0] / 20.))
+
+ all_edge_idx = range(edges.shape[0])
+ np.random.shuffle(all_edge_idx)
+ val_edge_idx = all_edge_idx[:num_val]
+ test_edge_idx = all_edge_idx[num_val:(num_val + num_test)]
+ test_edges = edges[test_edge_idx]
+ val_edges = edges[val_edge_idx]
+ train_edges = np.delete(edges, np.hstack([test_edge_idx, val_edge_idx]), axis=0)
+
+ edges_list.append(edges)
+
+ def ismember(a, b, tol=5):
+ rows_close = np.all(np.round(a - b[:, None], tol) == 0, axis=-1)
+ return np.any(rows_close)
+
+ test_edges_false = []
+ while len(test_edges_false) < len(test_edges):
+ idx_i = np.random.randint(0, adj.shape[0])
+ idx_j = np.random.randint(0, adj.shape[0])
+ if idx_i == idx_j:
+ continue
+ if ismember([idx_i, idx_j], edges_all):
+ continue
+ if test_edges_false:
+ if ismember([idx_j, idx_i], np.array(test_edges_false)):
+ continue
+ if ismember([idx_i, idx_j], np.array(test_edges_false)):
+ continue
+ test_edges_false.append([idx_i, idx_j])
+
+ val_edges_false = []
+ while len(val_edges_false) < len(val_edges):
+ idx_i = np.random.randint(0, adj.shape[0])
+ idx_j = np.random.randint(0, adj.shape[0])
+ if idx_i == idx_j:
+ continue
+ if ismember([idx_i, idx_j], train_edges):
+ continue
+ if ismember([idx_j, idx_i], train_edges):
+ continue
+ if ismember([idx_i, idx_j], val_edges):
+ continue
+ if ismember([idx_j, idx_i], val_edges):
+ continue
+ if val_edges_false:
+ if ismember([idx_j, idx_i], np.array(val_edges_false)):
+ continue
+ if ismember([idx_i, idx_j], np.array(val_edges_false)):
+ continue
+ val_edges_false.append([idx_i, idx_j])
+
+ assert ~ismember(test_edges_false, edges_all)
+ assert ~ismember(val_edges_false, edges_all)
+ assert ~ismember(val_edges, train_edges)
+ assert ~ismember(test_edges, train_edges)
+ assert ~ismember(val_edges, test_edges)
+
+ data = np.ones(train_edges.shape[0])
+
+ # Re-build adj matrix
+ adj_train = sp.csr_matrix((data, (train_edges[:, 0], train_edges[:, 1])), shape=adj.shape)
+ adj_train = adj_train + adj_train.T
+
+ adj_train_l.append(adj_train)
+ train_edges_l.append(train_edges)
+ val_edges_l.append(val_edges)
+ val_edges_false_l.append(val_edges_false)
+ test_edges_l.append(test_edges)
+ test_edges_false_l.append(test_edges_false)
+
+ # NOTE: these edge lists only contain single direction of edge!
+ return adj_train_l, train_edges_l, val_edges_l, val_edges_false_l, test_edges_l, test_edges_false_l
+
+
+# In[20]:
+
+
+# loading data
+
+# # Enron dataset
+# with open('data/enron10/adj_time_list.pickle', 'rb') as handle:
+# adj_time_list = pickle.load(handle)
+
+# with open('data/enron10/adj_orig_dense_list.pickle', 'rb') as handle:
+# adj_orig_dense_list = pickle.load(handle)
+
+# # COLAB dataset
+# with open('data/dblp/adj_time_list.pickle', 'rb') as handle:
+# adj_time_list = pickle.load(handle)
+
+# with open('data/dblp/adj_orig_dense_list.pickle', 'rb') as handle:
+# adj_orig_dense_list = pickle.load(handle)
+
+
+# Facebook dataset
+# with open('data/fb/adj_time_list.pickle', 'rb') as handle:
+# adj_time_list = pickle.load(handle)
+
+# with open('data/fb/adj_orig_dense_list.pickle', 'rb') as handle:
+# adj_orig_dense_list = pickle.load(handle)
+
+
+# In[21]:
+
+
+# masking edges
+
+#outs = mask_edges_det(adj_time_list)
+
+# adj_train_l = outs[0]
+# edge_idx_list = outs[1]
+# val_edges_l = outs[2]
+# val_edges_false_l = outs[3]
+# test_edges_l = outs[4]
+# test_edges_false_l = outs[5]
+
+
+import pickle
+from scipy.sparse import csr_matrix
+
+
+def sparse_adjacency_to_edge_list(sparse_adj_matrix):
+ row, col = sparse_adj_matrix.nonzero()
+ edge_list = np.vstack((row, col)).T
+ return edge_list
+
+
+def prepare(t,device):
+ path = '../data/snapshots/labels_{}.pkl'.format(t)
+
+ with open(path,'rb') as f:
+ labels = pickle.load(f)
+
+ path = '../data/snapshots/features_{}.pkl'.format(t)
+ with open(path,'rb') as f:
+ features = pickle.load(f)
+
+ path = '../data/snapshots/adjacency_{}.pkl'.format(t)
+ with open(path,'rb') as f:
+ adj = pickle.load(f)
+
+ edge_index = sparse_adjacency_to_edge_list(adj)
+ edge_index = torch.LongTensor(edge_index).to(device)
+ adj = torch.tensor(adj).to(device)
+ features = torch.tensor(features,dtype=torch.float32).to(device)
+ labels = torch.LongTensor(labels).to(device)
+ return edge_index,features,labels,adj
+
+def prepare_all(snapshots,device):
+ edge_index_l , x_l , y_l , adj_l = [],[],[],[]
+ for t in snapshots:
+ out = prepare(t,device)
+ edge_index_l.append(out[0])
+ x_l.append(out[1])
+ y_l.append(out[2])
+ adj_l.append(out[3])
+ return edge_index_l,x_l,y_l,adj_l
+
+# In[22]:
+
+
+# creating edge list
+
+# edge_idx_list = []
+
+# for i in range(len(train_edges_l)):
+# edge_idx_list.append(torch.tensor(np.transpose(train_edges_l[i]), dtype=torch.long))
+
+
+# In[23]:
+
+
+# layers
+
+class GCNConv(MessagePassing):
+ def __init__(self, in_channels, out_channels, act=F.relu, improved=True, bias=False):
+ super(GCNConv, self).__init__()
+
+ self.in_channels = in_channels
+ self.out_channels = out_channels
+ self.improved = improved
+ self.act = act
+
+ self.weight = Parameter(torch.Tensor(in_channels, out_channels)).to(device)
+
+ if bias:
+ self.bias = Parameter(torch.Tensor(out_channels)).to(device)
+ else:
+ self.register_parameter('bias', None)
+
+ self.reset_parameters()
+
+ def reset_parameters(self):
+ glorot(self.weight)
+ zeros(self.bias)
+
+ def forward(self, x, edge_index, edge_weight=None):
+ if edge_weight is None:
+ edge_weight = torch.ones(
+ (edge_index.size(0), ), dtype=x.dtype, device=x.device)
+ edge_weight = edge_weight.view(-1)
+ assert edge_weight.size(0) == edge_index.size(0)
+
+ #edge_index = add_self_loops(edge_index, num_nodes=x.size(0))
+ # loop_weight = torch.full(
+ # (x.size(0), ),
+ # 1 if not self.improved else 2,
+ # dtype=x.dtype,
+ # device=x.device)
+ # edge_weight = torch.cat([edge_weight, loop_weight], dim=0)
+
+ row, col = edge_index.t()
+ deg = scatter_add(edge_weight, row, dim=0, dim_size=x.size(0))
+ deg_inv = deg.pow(-0.5)
+ deg_inv[deg_inv == float('inf')] = 0
+
+ norm = deg_inv[row] * edge_weight * deg_inv[col]
+ x = torch.matmul(x, self.weight)
+ out = self.propagate('add', edge_index.t(), x=x, norm=norm)
+ return self.act(out)
+
+ def message(self, x_j, norm):
+ return norm.view(-1, 1) * x_j
+
+ def update(self, aggr_out):
+ if self.bias is not None:
+ aggr_out = aggr_out + self.bias
+ return aggr_out
+
+ def __repr__(self):
+ return '{}({}, {})'.format(self.__class__.__name__, self.in_channels,
+ self.out_channels)
+
+
+class SAGEConv(torch.nn.Module):
+ def __init__(self, in_channels, out_channels, pool='mean', act=F.relu, normalize=False, bias=False):
+ super(SAGEConv, self).__init__()
+
+ self.in_channels = in_channels
+ self.out_channels = out_channels
+ self.normalize = normalize
+ self.weight = Parameter(torch.Tensor(self.in_channels, out_channels))
+ self.act = act
+ self.pool = pool
+
+ if bias:
+ self.bias = Parameter(torch.Tensor(out_channels))
+ else:
+ self.register_parameter('bias', None)
+
+ self.reset_parameters()
+
+ def reset_parameters(self):
+ size = self.weight.size(0)
+ uniform(size, self.weight)
+ uniform(size, self.bias)
+
+ def forward(self, x, edge_index):
+ edge_index, _ = remove_self_loops(edge_index)
+ edge_index = add_self_loops(edge_index, num_nodes=x.size(0))[0]
+
+ x = x.unsqueeze(-1) if x.dim() == 1 else x
+ row, col = edge_index
+
+ if self.pool == 'mean':
+ out = torch.matmul(x, self.weight)
+ if self.bias is not None:
+ out = out + self.bias
+ out = self.act(out)
+ out = scatter_mean(out[col], row, dim=0, dim_size=out.size(0))
+
+ elif self.pool == 'max':
+ out = torch.matmul(x, self.weight)
+ if self.bias is not None:
+ out = out + self.bias
+ out = self.act(out)
+ out, _ = scatter_max(out[col], row, dim=0, dim_size=out.size(0))
+
+ elif self.pool == 'add':
+ x = torch.matmul(x, self.weight)
+ if self.bias is not None:
+ out = out + self.bias
+ out = self.act(out)
+ out = scatter_add(x[col], row, dim=0, dim_size=x.size(0))
+ else:
+ print('pooling not defined!')
+
+ if self.normalize:
+ out = F.normalize(out, p=2, dim=-1)
+
+ return out
+
+ def __repr__(self):
+ return '{}({}, {})'.format(self.__class__.__name__, self.in_channels, self.out_channels)
+
+
+class GINConv(torch.nn.Module):
+ def __init__(self, nn, eps=0, train_eps=False):
+ super(GINConv, self).__init__()
+ self.nn = nn
+ self.initial_eps = eps
+ if train_eps:
+ self.eps = torch.nn.Parameter(torch.Tensor([eps]))
+ else:
+ self.register_buffer('eps', torch.Tensor([eps]))
+ self.reset_parameters()
+
+ def reset_parameters(self):
+ reset(self.nn)
+ self.eps.data.fill_(self.initial_eps)
+
+ def forward(self, x, edge_index):
+ x = x.unsqueeze(-1) if x.dim() == 1 else x
+ edge_index, _ = remove_self_loops(edge_index)
+ row, col = edge_index
+
+ out = scatter_add(x[col], row, dim=0, dim_size=x.size(0))
+ out = (1 + self.eps) * x + out
+ out = self.nn(out)
+ return out
+
+ def __repr__(self):
+ return '{}(nn={})'.format(self.__class__.__name__, self.nn)
+
+
+class graph_gru_sage(nn.Module):
+ def __init__(self, input_size, hidden_size, n_layer, bias=True):
+ super(graph_gru_sage, self).__init__()
+
+ self.hidden_size = hidden_size
+ self.n_layer = n_layer
+
+ # gru weights
+ self.weight_xz = []
+ self.weight_hz = []
+ self.weight_xr = []
+ self.weight_hr = []
+ self.weight_xh = []
+ self.weight_hh = []
+
+ for i in range(self.n_layer):
+ if i==0:
+ self.weight_xz.append(SAGEConv(input_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_hz.append(SAGEConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_xr.append(SAGEConv(input_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_hr.append(SAGEConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_xh.append(SAGEConv(input_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_hh.append(SAGEConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+ else:
+ self.weight_xz.append(SAGEConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_hz.append(SAGEConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_xr.append(SAGEConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_hr.append(SAGEConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_xh.append(SAGEConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_hh.append(SAGEConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+
+ def forward(self, inp, edgidx, h):
+ h_out = torch.zeros(h.size())
+ for i in range(self.n_layer):
+ if i==0:
+ z_g = torch.sigmoid(self.weight_xz[i](inp, edgidx) + self.weight_hz[i](h[i], edgidx))
+ r_g = torch.sigmoid(self.weight_xr[i](inp, edgidx) + self.weight_hr[i](h[i], edgidx))
+ h_tilde_g = torch.tanh(self.weight_xh[i](inp, edgidx) + self.weight_hh[i](r_g * h[i], edgidx))
+ h_out[i] = z_g * h[i] + (1 - z_g) * h_tilde_g
+ # out = self.decoder(h_t.view(1,-1))
+ else:
+ z_g = torch.sigmoid(self.weight_xz[i](h_out[i-1], edgidx) + self.weight_hz[i](h[i], edgidx))
+ r_g = torch.sigmoid(self.weight_xr[i](h_out[i-1], edgidx) + self.weight_hr[i](h[i], edgidx))
+ h_tilde_g = torch.tanh(self.weight_xh[i](h_out[i-1], edgidx) + self.weight_hh[i](r_g * h[i], edgidx))
+ h_out[i] = z_g * h[i] + (1 - z_g) * h_tilde_g
+ # out = self.decoder(h_t.view(1,-1))
+
+ out = h_out
+ return out, h_out
+
+
+class graph_gru_gcn(nn.Module):
+ def __init__(self, input_size, hidden_size, n_layer, bias=True):
+ super(graph_gru_gcn, self).__init__()
+
+ self.hidden_size = hidden_size
+ self.n_layer = n_layer
+
+ # gru weights
+ self.weight_xz = []
+ self.weight_hz = []
+ self.weight_xr = []
+ self.weight_hr = []
+ self.weight_xh = []
+ self.weight_hh = []
+
+ for i in range(self.n_layer):
+ if i==0:
+ self.weight_xz.append(GCNConv(input_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_hz.append(GCNConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_xr.append(GCNConv(input_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_hr.append(GCNConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_xh.append(GCNConv(input_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_hh.append(GCNConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+ else:
+ self.weight_xz.append(GCNConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_hz.append(GCNConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_xr.append(GCNConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_hr.append(GCNConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_xh.append(GCNConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+ self.weight_hh.append(GCNConv(hidden_size, hidden_size, act=lambda x:x, bias=bias))
+
+ def forward(self, inp, edgidx, h):
+ h_out = torch.zeros(h.size()).to(device)
+ for i in range(self.n_layer):
+ if i==0:
+ z_g = torch.sigmoid(self.weight_xz[i](inp, edgidx) + self.weight_hz[i](h[i], edgidx))
+ r_g = torch.sigmoid(self.weight_xr[i](inp, edgidx) + self.weight_hr[i](h[i], edgidx))
+ h_tilde_g = torch.tanh(self.weight_xh[i](inp, edgidx) + self.weight_hh[i](r_g * h[i], edgidx))
+ h_out[i] = z_g * h[i] + (1 - z_g) * h_tilde_g
+ # out = self.decoder(h_t.view(1,-1))
+ else:
+ z_g = torch.sigmoid(self.weight_xz[i](h_out[i-1], edgidx) + self.weight_hz[i](h[i], edgidx))
+ r_g = torch.sigmoid(self.weight_xr[i](h_out[i-1], edgidx) + self.weight_hr[i](h[i], edgidx))
+ h_tilde_g = torch.tanh(self.weight_xh[i](h_out[i-1], edgidx) + self.weight_hh[i](r_g * h[i], edgidx))
+ h_out[i] = z_g * h[i] + (1 - z_g) * h_tilde_g
+ # out = self.decoder(h_t.view(1,-1))
+
+ out = h_out
+ return out, h_out
+
+
+class InnerProductDecoder(nn.Module):
+ def __init__(self, act=torch.sigmoid, dropout=0.):
+ super(InnerProductDecoder, self).__init__()
+
+ self.act = act
+ self.dropout = dropout
+
+ def forward(self, inp):
+ inp = F.dropout(inp, self.dropout, training=self.training)
+ x = torch.transpose(inp, dim0=0, dim1=1)
+ x = torch.mm(inp, x)
+ return self.act(x)
+
+
+# In[24]:
+
+
+# evaluation function
+
+def get_roc_scores(edges_pos, edges_neg, adj_orig_dense_list, embs):
+ def sigmoid(x):
+ return 1 / (1 + np.exp(-x))
+
+ auc_scores = []
+ ap_scores = []
+
+ for i in range(len(edges_pos)):
+ # Predict on test set of edges
+ emb = embs[i].detach().numpy()
+ adj_rec = np.dot(emb, emb.T)
+ adj_orig_t = adj_orig_dense_list[i]
+ preds = []
+ pos = []
+ for e in edges_pos[i]:
+ preds.append(sigmoid(adj_rec[e[0], e[1]]))
+ pos.append(adj_orig_t[e[0], e[1]])
+
+ preds_neg = []
+ neg = []
+ for e in edges_neg[i]:
+ preds_neg.append(sigmoid(adj_rec[e[0], e[1]]))
+ neg.append(adj_orig_t[e[0], e[1]])
+
+ preds_all = np.hstack([preds, preds_neg])
+ labels_all = np.hstack([np.ones(len(preds)), np.zeros(len(preds_neg))])
+ auc_scores.append(roc_auc_score(labels_all, preds_all))
+ ap_scores.append(average_precision_score(labels_all, preds_all))
+
+ return auc_scores, ap_scores
+
+
+# In[25]:
+
+from sklearn.metrics import accuracy_score, f1_score, recall_score,precision_score,roc_auc_score
+
+def calculate_metrics(preds,labels):
+ labels = labels.cpu().detach().numpy()
+ preds = preds.cpu().detach().numpy()
+ preds = np.argmax(preds,axis=1)
+ f1 = f1_score(labels, preds)
+ accuracy = accuracy_score(labels, preds)
+ recall = recall_score(labels, preds)
+ precision = precision_score(labels, preds)
+ roc_auc = roc_auc_score(labels,preds )
+ return accuracy,f1,recall,precision,roc_auc
+
+
+# VGRNN model
+
+class VGRNN(nn.Module):
+ def __init__(self, x_dim, h_dim, z_dim, n_layers, eps, conv='GCN', bias=False):
+ super(VGRNN, self).__init__()
+
+ self.x_dim = x_dim
+ self.eps = eps
+ self.h_dim = h_dim
+ self.z_dim = z_dim
+ self.n_layers = n_layers
+ self.cls = nn.Linear(h_dim, 2, True,device='cuda')
+
+ if conv == 'GCN':
+ self.phi_x = nn.Sequential(nn.Linear(x_dim, h_dim), nn.ReLU())
+ self.phi_z = nn.Sequential(nn.Linear(z_dim, h_dim), nn.ReLU())
+
+ self.enc = GCNConv(h_dim + h_dim, h_dim)
+ self.enc_mean = GCNConv(h_dim, z_dim, act=lambda x:x)
+ self.enc_std = GCNConv(h_dim, z_dim, act=F.softplus)
+
+ self.prior = nn.Sequential(nn.Linear(h_dim, h_dim), nn.ReLU())
+ self.prior_mean = nn.Sequential(nn.Linear(h_dim, z_dim))
+ self.prior_std = nn.Sequential(nn.Linear(h_dim, z_dim), nn.Softplus())
+
+ self.rnn = graph_gru_gcn(h_dim + h_dim, h_dim, n_layers, bias)
+
+ elif conv == 'SAGE':
+ self.phi_x = nn.Sequential(nn.Linear(x_dim, h_dim), nn.ReLU())
+ self.phi_z = nn.Sequential(nn.Linear(z_dim, h_dim), nn.ReLU())
+
+ self.enc = SAGEConv(h_dim + h_dim, h_dim)
+ self.enc_mean = SAGEConv(h_dim, z_dim, act=lambda x:x)
+ self.enc_std = SAGEConv(h_dim, z_dim, act=F.softplus)
+
+ self.prior = nn.Sequential(nn.Linear(h_dim, h_dim), nn.ReLU())
+ self.prior_mean = nn.Sequential(nn.Linear(h_dim, z_dim))
+ self.prior_std = nn.Sequential(nn.Linear(h_dim, z_dim), nn.Softplus())
+
+ self.rnn = graph_gru_sage(h_dim + h_dim, h_dim, n_layers, bias)
+
+ elif conv == 'GIN':
+ self.phi_x = nn.Sequential(nn.Linear(x_dim, h_dim), nn.ReLU())
+ self.phi_z = nn.Sequential(nn.Linear(z_dim, h_dim), nn.ReLU())
+
+ self.enc = GINConv(nn.Sequential(nn.Linear(h_dim + h_dim, h_dim), nn.ReLU()))
+ self.enc_mean = GINConv(nn.Sequential(nn.Linear(h_dim, z_dim)))
+ self.enc_std = GINConv(nn.Sequential(nn.Linear(h_dim, z_dim), nn.Softplus()))
+
+ self.prior = nn.Sequential(nn.Linear(h_dim, h_dim), nn.ReLU())
+ self.prior_mean = nn.Sequential(nn.Linear(h_dim, z_dim))
+ self.prior_std = nn.Sequential(nn.Linear(h_dim, z_dim), nn.Softplus())
+
+ self.rnn = graph_gru_gcn(h_dim + h_dim, h_dim, n_layers, bias)
+
+ def forward(self, x, edge_idx_list, adj_orig_dense_list,labels, hidden_in=None):
+ assert len(adj_orig_dense_list) == len(edge_idx_list)
+
+ kld_loss = 0
+ nll_loss = 0
+ all_enc_mean, all_enc_std = [], []
+ all_prior_mean, all_prior_std = [], []
+ all_dec_t, all_z_t = [], []
+ logits,acc_l,f1_l,precision_l,recall_l,roc_auc_l,processing_time,occupied_memory= [],[],[],[],[],[],[],[]
+
+ if hidden_in is None:
+ h = Variable(torch.zeros(self.n_layers, x.size(1), self.h_dim)).to(device)
+ else:
+ h = Variable(hidden_in).to(device)
+
+ for t in range(x.size(0)):
+ start = time.time()
+
+ phi_x_t = self.phi_x(x[t])
+
+ #encoder
+ enc_t = self.enc(torch.cat([phi_x_t, h[-1]], 1), edge_idx_list[t])
+ enc_mean_t = self.enc_mean(enc_t, edge_idx_list[t])
+ enc_std_t = self.enc_std(enc_t, edge_idx_list[t])
+
+ #prior
+ prior_t = self.prior(h[-1])
+ prior_mean_t = self.prior_mean(prior_t)
+ prior_std_t = self.prior_std(prior_t)
+
+ #sampling and reparameterization
+ z_t = self._reparameterized_sample(enc_mean_t, enc_std_t)
+ phi_z_t = self.phi_z(z_t)
+
+ #decoder
+ dec_t = self.dec(z_t)
+
+ #recurrence
+ _, h = self.rnn(torch.cat([phi_x_t, phi_z_t], 1), edge_idx_list[t], h)
+ occupied_memory.append(torch.cuda.max_memory_allocated() / 1000000 if torch.cuda.is_available() else 0)
+ logits.append(F.log_softmax(self.cls(torch.squeeze(h)), dim=1))
+ nnodes = adj_orig_dense_list[t].size()[0]
+ enc_mean_t_sl = enc_mean_t[0:nnodes, :]
+ enc_std_t_sl = enc_std_t[0:nnodes, :]
+ prior_mean_t_sl = prior_mean_t[0:nnodes, :]
+ prior_std_t_sl = prior_std_t[0:nnodes, :]
+ dec_t_sl = dec_t[0:nnodes, 0:nnodes]
+ processing_time.append(time.time() - start)
+ #computing losses
+# kld_loss += self._kld_gauss_zu(enc_mean_t, enc_std_t)
+ kld_loss += self._kld_gauss(enc_mean_t_sl, enc_std_t_sl, prior_mean_t_sl, prior_std_t_sl)
+ nll_loss += self._nll_bernoulli(dec_t_sl, adj_orig_dense_list[t])
+ cls_loss = F.nll_loss(logits[-1], labels[-1])
+ all_enc_std.append(enc_std_t_sl)
+ all_enc_mean.append(enc_mean_t_sl)
+ all_prior_mean.append(prior_mean_t_sl)
+ all_prior_std.append(prior_std_t_sl)
+ all_dec_t.append(dec_t_sl)
+ all_z_t.append(z_t)
+ acc,f1,recall,precision,roc_auc = calculate_metrics(logits[-1],labels[-1])
+ acc_l.append(acc)
+ f1_l.append(f1)
+ recall_l.append(recall)
+ precision_l.append(precision)
+ roc_auc_l.append(roc_auc)
+ metrics = []
+ metrics.append(np.mean(acc_l))
+ metrics.append(np.mean(f1_l))
+ metrics.append(np.mean(recall_l))
+ metrics.append(np.mean(precision_l))
+ metrics.append(np.mean(roc_auc_l))
+ metrics.append(np.mean(occupied_memory))
+ metrics.append(np.mean(processing_time)*1000)
+
+ return kld_loss, nll_loss, all_enc_mean, all_prior_mean, h,cls_loss, metrics
+
+ def dec(self, z):
+ outputs = InnerProductDecoder(act=lambda x:x)(z)
+ return outputs
+
+ def reset_parameters(self, stdv=1e-1):
+ for weight in self.parameters():
+ weight.data.normal_(0, stdv)
+
+ def _init_weights(self, stdv):
+ pass
+
+ def _reparameterized_sample(self, mean, std):
+ eps1 = torch.FloatTensor(std.size()).normal_()
+ eps1 = Variable(eps1).to(device)
+ return eps1.mul(std).add_(mean)
+
+ def _kld_gauss(self, mean_1, std_1, mean_2, std_2):
+ num_nodes = mean_1.size()[0]
+ kld_element = (2 * torch.log(std_2 + self.eps) - 2 * torch.log(std_1 + self.eps) +
+ (torch.pow(std_1 + self.eps ,2) + torch.pow(mean_1 - mean_2, 2)) /
+ torch.pow(std_2 + self.eps ,2) - 1)
+ return (0.5 / num_nodes) * torch.mean(torch.sum(kld_element, dim=1), dim=0)
+
+ def _kld_gauss_zu(self, mean_in, std_in):
+ num_nodes = mean_in.size()[0]
+ std_log = torch.log(std_in + self.eps)
+ kld_element = torch.mean(torch.sum(1 + 2 * std_log - mean_in.pow(2) -
+ torch.pow(torch.exp(std_log), 2), 1))
+ return (-0.5 / num_nodes) * kld_element
+
+ def _nll_bernoulli(self, logits, target_adj_dense):
+ temp_size = target_adj_dense.size()[0]
+ temp_sum = target_adj_dense.sum()
+ posw = float(temp_size * temp_size - temp_sum) / temp_sum
+ norm = temp_size * temp_size / float((temp_size * temp_size - temp_sum) * 2)
+ target_adj_dense = target_adj_dense.to(torch.float32)
+ nll_loss_mat = F.binary_cross_entropy_with_logits(input=logits
+ , target=target_adj_dense
+ , pos_weight=posw
+ , reduction='none')
+ nll_loss = -1 * norm * torch.mean(nll_loss_mat, dim=[0,1])
+ return - nll_loss
+
+
+
+# In[26]:
+
+
+# hyperparameters
+
+x_dim = 78
+total_snapshots = 454
+
+h_dim = 2
+z_dim = 2
+n_layers = 1
+clip = 10
+learning_rate = 0.01 #ddos: 0.25, darknet: 0.01 , iot: 0.001
+num_nodes = 1000
+eps = 1e-10
+conv_type='GCN'
+epochs = 50
+test_prop = .3
+train_snapshots = list(range(0, total_snapshots - int(test_prop * total_snapshots)))
+test_snapshots = list(range(int(test_prop * total_snapshots), total_snapshots))
+seq_len = total_snapshots
+# In[27]:
+
+# Selecting a device
+
+device = 0
+
+# creating input tensors
+
+edge_index_l_train,x_l_train,y_l_train,adj_l_train = prepare_all(train_snapshots,device)
+edge_index_l_test,x_l_test,y_l_test,adj_l_test = prepare_all(test_snapshots,device)
+
+# x_in_list = []
+# for i in range(0, seq_len):
+# x_temp = torch.tensor(np.eye(num_nodes).astype(np.float32))
+# x_in_list.append(torch.tensor(x_temp))
+
+x_in_train = Variable(torch.stack(x_l_train))
+x_in_test = Variable(torch.stack(x_l_test))
+
+# adj_label_l = []
+# for i in range(len(adj_train_l)):
+# temp_matrix = adj_train_l[i]
+# adj_label_l.append(torch.tensor(temp_matrix.toarray().astype(np.float32)))
+
+
+# In[28]:
+
+
+# building model
+
+model = VGRNN(x_dim, h_dim, z_dim, n_layers, eps, conv=conv_type, bias=True).to(device)
+optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate)
+
+
+# In[29]:
+
+
+# training
+
+seq_start = 0
+seq_end = seq_len - 3
+tst_after = 0
+
+for k in range(epochs):
+ optimizer.zero_grad()
+ start_time = time.time()
+ kld_loss, nll_loss, _, _, hidden_st,cl_loss,metrics = model(x_in_train
+ , edge_index_l_train
+ , adj_l_train
+ , y_l_train)
+ loss = kld_loss + nll_loss + cl_loss
+ loss.backward()
+ optimizer.step()
+
+ nn.utils.clip_grad_norm_(model.parameters(), clip)
+
+ print("epoch: {} loss: {:.4f} acc: {:.4f} f1: {:.4f} recall: {:.4f} precision: {:.4f} roc_auc: {:.4f} oc: {:.4f} pt: {:.4f}".format(k,loss.mean().item(),*metrics))
+ print('----------------------------------')
+
+# In[ ]:
+model.eval()
+metrics = model(x_in_test
+ , edge_index_l_test
+ , adj_l_test
+ , y_l_test)[6]
+print('----------------------------------')
+print('----------------------------------')
+print('----------------------------------')
+print("acc: {:.4f} f1: {:.4f} recall: {:.4f} precision: {:.4f} roc_auc: {:.4f} oc: {:.3f} pt: {:.3f}".format(*metrics))
+
diff --git a/data/snapshots/note.txt b/data/snapshots/note.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5e5643e16fc3d694214d6eaa061a785ca3f70467
--- /dev/null
+++ b/data/snapshots/note.txt
@@ -0,0 +1 @@
+put here your snapshots
\ No newline at end of file
diff --git a/images/dynamic.png b/images/dynamic.png
new file mode 100644
index 0000000000000000000000000000000000000000..3ae033a4a9b7bd16235c64ccc040e8e6e9a25a83
Binary files /dev/null and b/images/dynamic.png differ
diff --git a/readme.md b/readme.md
new file mode 100644
index 0000000000000000000000000000000000000000..8c963cbd29aa18c8f2b0dce8239f70ea387bbfcc
--- /dev/null
+++ b/readme.md
@@ -0,0 +1,100 @@
+# HVAE-AD
+
+## 1. Overview
+
+In this repository, you find our proposed approach for anomaly detection in cybersecurity using temporal graphs, hyperbolic embedding, and graph neural networks which we called it HVAE-AD (Hyperbolic Variational Autoencoder for Anomaly Detection). You also find both Euclidean (for static and dynamic graphs) and hyperbolic baselines to campare with.
+
+The overall architecture of our approach is illustrated in the figure below.
+
+
+### 1.1 Models
+
+| Name | Ref |
+|---------------|-------|
+| DOMINANT | [1] |
+| LineGraphSage | [2] |
+| HGWaveNet | [3] |
+| HTGN | [4] |
+| VGRNN | [5] |
+| EvolveGCN | [6] |
+
+### 1.2 Datasets
+
+To evaluate our dynamic approach we generated snapshots from 03 different datasets:
+
+| Name | Ref |
+|-----------------|------|
+| CIC-DDoS2019 | [7] |
+| CIC-Darknet2020 | [8] |
+| ToN-IoT | [9] |
+
+## 2. Installation
+
+```bash
+git clone https://gitlab.liris.cnrs.fr/gladis/hvgae-ad.git
+```
+
+## 3. Usage
+The snapshots of a given dataset have to be inside `data/snapshots/`.
+
+- **HVAE-AD**:
+All the arguments can be tweaked inside the file: `HVGAE_AD/config.py`.
+```python
+from HVGAE_AD import HVGAE_AD
+directory = 'data/snapshots/'
+model = HVGAE_AD(data_path=directory)
+model.fit()
+f1_score, accuracy, precision, recall, roc_auc, occupied_memory, processing_time = model.predict()
+```
+
+- **DOMINANT**:
+The graphs have to be located in the folders inside `DOMINANT/datasets/`. The names of the matrices have to be like `matrix_0.pkl` where 0 indicated the first repetition. This helps train the model multiple time with different graphs to test the model over multiple samples.
+```bash
+cd DOMINANT
+python test.py
+```
+
+- **LineGraphSage**:
+Same as DOMINANT, the graphs have to be in `LineGraphSage/datasets/` and the names has to be like `name_0.pkl`.
+```bash
+cd LineGraphSage
+python test.py
+```
+
+- **HGWaveNet**:
+```bash
+cd HGWaveNet
+python main.py
+```
+
+- **HTGN**:
+Make sure in `HTGN/config.py` the argument `--model` is `HTGN`.
+```bash
+cd HTGN
+python main.py
+```
+
+- **EvolveGCN**:
+We used the implementation available in the source code of HTGN. Set the argument `--model` inside `HTGN/config.py` as `EGCN`.
+```bash
+cd HTGN/baselines
+python run_evolvegcn_baselines.py
+```
+
+- **VGRNN**:
+```bash
+cd VGRNN
+python VGRNN_detection.py
+```
+
+## 4. References
+
+[1]: [DOMINANT](https://github.com/jackd/dominant)
+[2]: [LineGraphSage](https://github.com/andreaventuri01/Structural_attacks_GNN_NIDS)
+[3]: [HGWaveNet](https://github.com/TaiLvYuanLiang/HGWaveNet)
+[4]: [HTGN](https://github.com/marlin-codes/HTGN)
+[5]: [VGRNN](https://github.com/VGraphRNN/VGRNN)
+[6]: [EvolveGCN](https://github.com/IBM/EvolveGCN)
+[7]: [CIC-DDoS2019](https://www.unb.ca/cic/datasets/ddos-2019.html)
+[8]: [CIC-Darknet2020](https://www.unb.ca/cic/datasets/darknet2020.html)
+[9]: [ToN-IoT](https://research.unsw.edu.au/projects/toniot-datasets)
\ No newline at end of file