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

@@ -45,4 +45,17 @@ Vicuna is evaluated with standard benchmarks, human preference, and LLM-as-a-jud
 
 ## Difference between different versions of Vicuna
 
-See [vicuna_weights_version.md](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md)
+See [vicuna_weights_version.md](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md)
+# [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_lmsys__vicuna-13b-v1.5)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 51.46   |
+| ARC (25-shot)         | 57.08          |
+| HellaSwag (10-shot)   | 81.24    |
+| MMLU (5-shot)         | 56.67         |
+| TruthfulQA (0-shot)   | 51.51   |
+| Winogrande (5-shot)   | 74.66   |
+| GSM8K (5-shot)        | 11.3        |
+| DROP (3-shot)         | 27.73         |