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

@@ -83,3 +83,17 @@ The model is licensed under a CC BY-NC-4.0 license focused on research use cases
 
 # Acknowledgements
 The Lemur project is an open collaborative research effort between [XLang Lab](https://www.xlang.ai/) and Salesforce Research. We thank Salesforce, Google Research and Amazon AWS for their gift support.
+
+# [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_OpenLemur__lemur-70b-chat-v1)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 57.1   |
+| ARC (25-shot)         | 66.98          |
+| HellaSwag (10-shot)   | 85.73    |
+| MMLU (5-shot)         | 65.99         |
+| TruthfulQA (0-shot)   | 56.58   |
+| Winogrande (5-shot)   | 81.69   |
+| GSM8K (5-shot)        | 35.33        |
+| DROP (3-shot)         | 7.4         |