Update the model inference logging message

background_inference.py

@@ -24,7 +24,9 @@ for i, sentence in enumerate(sentences):
     predictions.append(
         getattr(eval_utils, inference_function)(model, tokenizer, sentence)
     )
-    print("Inference progress: ", round(100 * (i + 1) / len(sentences), 1), "%")
+    print(
+        f"Inference progress ({model_name}, {inference_function}): {round(100 * (i + 1) / len(sentences), 1)}%"
+    )
 
 # Store the predictions in a private dataset
 utils.upload_predictions(