Update README.md

README.md

@@ -213,14 +213,13 @@ This document summarizes the evaluation results for various language models base
 
 ---
 
-## Notes
-
-In the repository, there is an `eval.py` script that can be used to run the evaluation for any other LLM.
-
-The evaluation results are based on the specific dataset and methodology employed.
-- The "First Token Accuracy" metric emphasizes the accuracy of predicting the initial token correctly.
+## Notes on eval.py
+`eval.py` is a template for evaluating large language models (LLMs), update the script to integrate your _API calls_ or local model logic.
+- The "First Token Accuracy" metric highlights initial token prediction accuracy.
+- The evaluation results are based on the specific dataset and methodology employed.
 - Further analysis might be needed to determine the models' suitability for specific tasks.
 
+
 ### Attribution for Evaluation Code
 The `eval.py` script is based on work from the MMLU-Pro repository:
 - Repository: [TIGER-AI-Lab/MMLU-Pro](https://github.com/TIGER-AI-Lab/MMLU-Pro)