dev

app.py

@@ -116,7 +116,7 @@ def fine_tune_model(model, dataset_name, hub_id, api_key, num_epochs, batch_size
         max_length = model.get_input_embeddings().weight.shape[0]
         try:
             saved_dataset = load_from_disk(f'/data/{hub_id.strip()}_train_dataset')
-            if 'test' in saved_dataset.key():
+            if 'test' in saved_dataset.keys():
                 print("FOUND TEST")
                 # Create Trainer
                 trainer = Trainer(