deve

app.py

@@ -233,8 +233,8 @@ def fine_tune_model(model, dataset_name, hub_id, api_key, num_epochs, batch_size
         #)    
     
         # Fine-tune the model
-        if os.path.exists(training_args.output_dir) and os.listdir(training_args.output_dir):
-            train_result = trainer.train(resume_from_checkpoint=True)
+        #if os.path.exists(training_args.output_dir) and os.listdir(training_args.output_dir):
+            #train_result = trainer.train(resume_from_checkpoint=True)
         else:
             train_result = trainer.train()
         trainer.push_to_hub(commit_message="Training complete!")