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

@@ -44,4 +44,17 @@ A preliminary evaluation of the model quality is conducted by creating a set of
 
 ## Major updates of weights v1.1
 - Refactor the tokenization and separator. In Vicuna v1.1, the separator has been changed from `"###"` to the EOS token `"</s>"`. This change makes it easier to determine the generation stop criteria and enables better compatibility with other libraries.
-- Fix the supervised fine-tuning loss computation for better model quality.
+- Fix the supervised fine-tuning loss computation for better model quality.
+# [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_eachadea__vicuna-7b-1.1)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 45.6   |
+| ARC (25-shot)         | 53.67          |
+| HellaSwag (10-shot)   | 77.46    |
+| MMLU (5-shot)         | 45.63         |
+| TruthfulQA (0-shot)   | 48.94   |
+| Winogrande (5-shot)   | 70.96   |
+| GSM8K (5-shot)        | 5.53        |
+| DROP (3-shot)         | 16.98         |