add : wandb random name

image_ref/main.py

@@ -102,6 +102,9 @@ def run_duo(args):
         os.environ["WANDB_DIR"] = os.path.abspath("./wandb_run")
 
         wdb.init(project="contrastive_classification", dir='./wandb_run')
+        wdb.log({'hparam/optimizer':args.opti,'hparam/p_prop':args.positive_prop,'hparam/sampler':args.sampler,
+                 'hparam/lr':args.lr,'hparam/data_train':args.dataset_train_dir,'hparam/data_val':args.dataset_train_dir,
+                 'hparam/noise':args.noise_threshold,'hparam/model':args.model})
         print('Wandb initialised')
     # load data
     data_train, data_val_batch, data_test_batch = load_data_duo(base_dir_train=args.dataset_train_dir,