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

@@ -77,4 +77,17 @@ The attention mechanism in a transformer model is designed to capture global dep
 The finetuning scripts will be available in our [RAIL Github Repository](https://github.com/vmware-labs/research-and-development-artificial-intelligence-lab/tree/main/instruction-tuning)
 ## Evaluation
 
-<B>TODO</B>
+<B>TODO</B>
+# [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_VMware__open-llama-7b-open-instruct)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 40.9   |
+| ARC (25-shot)         | 49.74          |
+| HellaSwag (10-shot)   | 73.67    |
+| MMLU (5-shot)         | 31.52         |
+| TruthfulQA (0-shot)   | 34.65   |
+| Winogrande (5-shot)   | 65.43   |
+| GSM8K (5-shot)        | 0.53        |
+| DROP (3-shot)         | 30.75         |