Adding Evaluation Results

README.md

@@ -66,3 +66,17 @@ As such, it was **not** fine-tuned to be safe and harmless: the base model _and_
 We would like to thank [SpicyChat](https://spicychat.ai/) for sponsoring the training for this model.
 
 [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+
+# [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_PygmalionAI__pygmalion-2-13b)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 48.13   |
+| ARC (25-shot)         | 60.32          |
+| HellaSwag (10-shot)   | 82.37    |
+| MMLU (5-shot)         | 56.02         |
+| TruthfulQA (0-shot)   | 42.22   |
+| Winogrande (5-shot)   | 78.06   |
+| GSM8K (5-shot)        | 11.75        |
+| DROP (3-shot)         | 6.13         |