Adding Evaluation Results (#5)

- Adding Evaluation Results (d9bfbb295bb5684e4339140c76be106a2959edf5)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

README.md

@@ -151,3 +151,17 @@ Qualitative evaluation suggests that Galpaca frequently outperforms LLaMA-based
   howpublished = {\url{https://github.com/tatsu-lab/stanford_alpaca}},
 }
 ```
+
+# [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_GeorgiaTechResearchInstitute__galpaca-30b)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 40.99   |
+| ARC (25-shot)         | 49.57          |
+| HellaSwag (10-shot)   | 58.2    |
+| MMLU (5-shot)         | 43.78         |
+| TruthfulQA (0-shot)   | 41.16   |
+| Winogrande (5-shot)   | 62.51   |
+| GSM8K (5-shot)        | 2.81        |
+| DROP (3-shot)         | 28.89         |