deve

app.py

@@ -52,7 +52,7 @@ def fine_tune_model(model, dataset_name, hub_id, api_key, num_epochs, batch_size
         
             # Calculate accuracy
             accuracy = accuracy_score(decoded_labels, decoded_preds)
-            result["accuracy"] = round(accuracy * 100, 4)
+            result["eval_accuracy"] = round(accuracy * 100, 4)
         
             # Calculate average generation length
             prediction_lens = [np.count_nonzero(pred != tokenizer.pad_token_id) for pred in preds]