Update README.md

README.md

@@ -51,8 +51,7 @@ This model can be deployed efficiently using the [SGLang](https://docs.sglang.ai
 
 ## Evaluation
 
-The model was evaluated on AIME24, GPQA Diamond, MATH-500, and GSM8K benchmarks. The tasks of AIME24, GPQA Diamond, and MATH-500 were conducted using the [lighteval](https://github.com/huggingface/lighteval/tree/v0.10.0) framework, with each tasks running 10 times using different random seeds for reliable performance estimation.
-The task of GSM8K was conducted 
+The model was evaluated on AIME24, GPQA Diamond, MATH-500, and GSM8K benchmarks. The tasks of AIME24, GPQA Diamond, and MATH-500 were conducted using the [lighteval](https://github.com/huggingface/lighteval/tree/v0.10.0) framework while GSM8K using [lm-eval-harness](https://github.com/EleutherAI/lm-evaluation-harness).
 
 ### Accuracy
 
@@ -112,7 +111,7 @@ The task of GSM8K was conducted
 
 ### Reproduction
 
-The results of AIME24, MATH-500, and GPQA Diamond, were obtained using the following commands, with custom tasks and 10 rounds using different random seeds.
+The results of AIME24, MATH-500, and GPQA Diamond, were obtained using the following commands, with custom tasks and 10 rounds using different random seeds for reliable performance estimation.
 
 ```
 MODEL_ARGS="model_name=amd/DeepSeek-R1-0528-MXFP4-ASQ,dtype=bfloat16,tensor_parallel_size=8,max_model_length=71536,max_num_batched_tokens=32768,gpu_memory_utilization=0.85,generation_parameters={max_new_tokens:65536,temperature:0.6,top_p:0.95,seed:$SEED}"
@@ -125,7 +124,7 @@ lighteval vllm $MODEL_ARGS "custom|aime24_single|0|0,custom|math_500_single|0|0,
     2>&1 | tee -a "$LOG"
 ```
 
-The result of gsm8k was obtained using [lm-eval-harness](https://github.com/EleutherAI/lm-evaluation-harness).
+The result of GSM8K was obtained using [lm-eval-harness](https://github.com/EleutherAI/lm-evaluation-harness) and the following commands.
 
 ```
 MODEL_ARGS="model=amd/DeepSeek-R1-0528-MXFP4-ASQ,base_url=http://localhost:8000/v1/completions,num_concurrent=999999,timeout=999999,tokenized_requests=False,max_length=38768,temperature=0.6,top_p=0.95,add_bos_token=True,seed=$SEED"