Adding Evaluation Results

README.md

@@ -41,4 +41,17 @@ See more details in the "Training Details of Vicuna Models" section in the appen
 Vicuna is evaluated with standard benchmarks, human preference, and LLM-as-a-judge. See more details in this [paper](https://arxiv.org/pdf/2306.05685.pdf) and [leaderboard](https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard).
 
 ## 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-33b-v1.3)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 54.74   |
+| ARC (25-shot)         | 62.12          |
+| HellaSwag (10-shot)   | 83.0    |
+| MMLU (5-shot)         | 59.22         |
+| TruthfulQA (0-shot)   | 56.16   |
+| Winogrande (5-shot)   | 77.03   |
+| GSM8K (5-shot)        | 13.72        |
+| DROP (3-shot)         | 31.92         |