Update metric.py

metric.py

@@ -58,7 +58,7 @@ def heading(text: str) -> str:
     return "\n" + f" {text} ".center(80, "=") + "\n"
 
 
-def chat_llm_batch(model_id, prompts, limit= 150):
+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.SAMPLE, max_new_tokens=128, min_new_tokens=30, temperature=0, top_k=1, top_p=1, random_seed=42,
@@ -518,7 +518,7 @@ def compute(params):
                 'phase2_overall_rating' # phase 2 overall rating
                 ]
     mixtral_eval_batch_size = 16
-    limit = 20 # concurrency limit
+    limit = 100 # concurrency limit
     public_category_score_dict = {}
     private_category_score_dict = {}
     for key_ in all_keys: