dev

app.py

@@ -29,6 +29,7 @@ model.save_pretrained(model_save_path)
 
 def fine_tune_model(model, dataset_name, hub_id, api_key, num_epochs, batch_size, lr, grad):
     try:
+        torch.nn.CrossEntropyLoss()
         metric = evaluate.load("rouge", cache_dir='/data/cache')
         def compute_metrics(eval_preds):
             preds, labels = eval_preds