Adding Evaluation Results

This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

README.md

@@ -234,3 +234,17 @@ The model has been trained on source code in Python, Java, and JavaScript. The p
 
 # License
 The model is licenses under the CodeML Open RAIL-M v0.1 license. You can find the full license [here](https://huggingface.co/spaces/bigcode/license).
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_bigcode__gpt_bigcode-santacoder)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 24.95   |
+| ARC (25-shot)         | 21.16          |
+| HellaSwag (10-shot)   | 30.84    |
+| MMLU (5-shot)         | 24.97         |
+| TruthfulQA (0-shot)   | 45.64   |
+| Winogrande (5-shot)   | 47.83   |
+| GSM8K (5-shot)        | 0.53        |
+| DROP (3-shot)         | 3.72         |