Adding Evaluation Results

README.md

@@ -159,3 +159,17 @@ We plan to continue to iterate on both more high quality data, and new data filt
 The model is available for download on Hugging Face. It is suitable for a wide range of language tasks, from generating creative text to understanding and following complex instructions.
 
 [<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_NousResearch__Nous-Hermes-Llama2-13b)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 52.35   |
+| ARC (25-shot)         | 61.52          |
+| HellaSwag (10-shot)   | 83.29    |
+| MMLU (5-shot)         | 55.11         |
+| TruthfulQA (0-shot)   | 50.38   |
+| Winogrande (5-shot)   | 75.45   |
+| GSM8K (5-shot)        | 10.08        |
+| DROP (3-shot)         | 30.61         |