set mixtral api seed

metric.py

@@ -60,7 +60,7 @@ def heading(text: str) -> str:
 
 def chat_llm_batch(model_id, prompts, limit= 20):
     parameters = TextGenerationParameters(
-        decoding_method=DecodingMethod.SAMPLE, max_new_tokens=128, min_new_tokens=30, temperature=0, top_k=50, top_p=1
+        decoding_method=DecodingMethod.SAMPLE, max_new_tokens=128, min_new_tokens=30, temperature=0, top_k=50, top_p=1, random_seed=42
     )
     client = Client(credentials=Credentials.from_env())
     response_list = []
@@ -383,8 +383,8 @@ def mmmu_eval(submission_dict_of_dict, solution_dict_of_dict, category=None, cat
             answer = str(output['pred'])
             # label = str(solution_dict_of_dict.iloc[row]['pred'])
             label = str(solution_dict_of_dict[output_id]['pred'])
-            print('answer:', answer)
-            print('label:', label)
+            # print('answer:', answer)
+            # print('label:', label)
 
             # this is applied on samples with question type of "short-answer"
             # currently all the samples have the question type of "short-answer"