dev

app.py

@@ -140,11 +140,14 @@ def fine_tune_model(model, dataset_name, hub_id, api_key, num_epochs, batch_size
             )            
 
         # Fine-tune the model
-        trainer.train()
+        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!")
     except Exception as e:
         return f"An error occurred: {str(e)}, TB: {traceback.format_exc()}"
-    return 'DONE!'#model
+    return 'DONE!'#train_result
 '''
 # Define Gradio interface
 def predict(text):