Update README.md

README.md

@@ -58,23 +58,29 @@ pipeline_tag: text-generation
 
 **Overview**
 - We conducted a performance evaluation based on the tasks being evaluated on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). We evaluated our model on four benchmark datasets, which include `ARC-Challenge`, `HellaSwag`, `MMLU`, and `TruthfulQA`. We used the lm-evaluation-harness repository, specifically commit `b281b0921b636bc36ad05c0b0b0763bd6dd43463`. We can reproduce the evaluation environments using the command below:
-```
-git clone https://github.com/EleutherAI/lm-evaluation-harness.git
-git checkout b281b0921b636bc36ad05c0b0b0763bd6dd43463
-cd lm-evaluation-harness
-```
+
+** Scripts**
+- prepare evaluation environments:
+  ```
+  # clone the repository
+  git clone https://github.com/EleutherAI/lm-evaluation-harness.git
+
+  # check out the specific commit:
+  git checkout b281b0921b636bc36ad05c0b0b0763bd6dd43463
+
+  # change to the repository directory:
+  cd lm-evaluation-harness
+  ```
 
 **Main Results**
 | Model                                         | Average | ARC   | HellaSwag | MMLU  | TruthfulQA |
 |-----------------------------------------------|---------|-------|-----------|-------|------------|
 | llama-65b-instruct (***Ours***, ***Local Reproduction***) | **69.4** | **67.6** | **86.5** | **64.9** | **58.8** |
-| llama-30b-instruct-2048 (***Ours***) | 64.7 | 58.3 | 82.5 | 61.4 | 56.5 |
+| llama-30b-instruct-2048 (***Ours***, ***Open LLM Leaderboard***) | 64.7 | 58.3 | 82.5 | 61.4 | 56.5 |
 | falcon-40b-instruct | 63.4 | 61.6 | 84.3 | 55.4 | 52.5 |
-| llama-30b-instruct (***Ours***) | 63.2 | 56.7 | 84.0 | 59.0 | 53.1 |
+| llama-30b-instruct (***Ours***, ***Open LLM Leaderboard***) | 63.2 | 56.7 | 84.0 | 59.0 | 53.1 |
 | llama-65b | 62.1 | 57.6 | 84.3 | 63.4 | 43.0 |
 
-*Experimental results based on the Open LLM Leaderboard*
-
 ## Ethical Issues
 
 **Ethical Considerations**