Update mmlu_pro_eval_adapted.py

mmlu_pro_eval_adapted.py

@@ -199,9 +199,6 @@ def evaluate_mmlu_pro(model_name, num_subjects=-1, num_questions=10, num_shots=5
     
     model, tokenizer = load_model(model_name, gpu_utilization=0.8)
     
-    # Ensure model is in evaluation mode
-    model[0].model.eval() # Assuming model is a tuple of (llm, sampling_params)
-
     test_df, val_df = load_mmlu_pro()
 
     test_df = pd.DataFrame(test_df)