Update training_bertFineTuning.py

training_bertFineTuning.py

@@ -102,7 +102,7 @@ def training_bertFineTuning(chosen_model, model_path,  sentences, labels, max_le
         #   (3) Append the `[SEP]` token to the end.
         #   (4) Map tokens to their IDs.
         encoded_sent = tokenizer.encode(
-                            sent,                      # Sentence to encode.
+                            str(sent),                      # Sentence to encode.
                             add_special_tokens = True, # Add '[CLS]' and '[SEP]'
 
                             # This function also supports truncation and conversion