Adding Evaluation Results

README.md

@@ -71,4 +71,17 @@ As such, it was **not** fine-tuned to be safe and harmless: the base model _and_
 ## Acknowledgements
 We would like to thank [SpicyChat](https://spicychat.ai/) for sponsoring the training for the [Pygmalion-2 13B](https://huggingface.co/PygmalionAI/pygmalion-2-13b) 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)
+[<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__mythalion-13b)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 49.41   |
+| ARC (25-shot)         | 61.26          |
+| HellaSwag (10-shot)   | 83.81    |
+| MMLU (5-shot)         | 56.53         |
+| TruthfulQA (0-shot)   | 46.56   |
+| Winogrande (5-shot)   | 77.43   |
+| GSM8K (5-shot)        | 13.27        |
+| DROP (3-shot)         | 7.01         |