debug fix

metric.py

@@ -28,7 +28,7 @@ from tqdm import tqdm
 # from eval_mixtral import LLM_eval, creat_prompt
 # from eval_mixtral import creat_prompt
 # from llm_evaluator import chat_llm
-
+import random
 from dotenv import load_dotenv
 
 from genai.client import Client
@@ -61,7 +61,7 @@ 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, random_seed=42
-        decoding_method=DecodingMethod.GREEDY, max_new_tokens=128, min_new_tokens=30, temperature=0, top_k=1, top_p=0, random_seed=42
+        decoding_method=DecodingMethod.GREEDY, max_new_tokens=128, min_new_tokens=30, temperature=0, top_k=50, top_p=0, random_seed=42,
     )
     client = Client(credentials=Credentials.from_env())
     response_list = []
@@ -406,6 +406,7 @@ def mmmu_eval(submission_dict_of_dict, solution_dict_of_dict, category=None, cat
 
 
 def compute(params):
+    random.seed(42)
     # Download the two json file
     # category_
     category_to_sample_ids_dict_file = hf_hub_download(