Adding Evaluation Results

README.md

@@ -19,4 +19,17 @@ Trained on 3 epochs of the `totally-not-an-llm/EverythingLM-data-V2-sharegpt` da
 
 note: Changed a few of the finetuning parameters this time around. I have no idea if its any good but Feel free to give it a try!
 
-[<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_harborwater__open-llama-3b-everything-v2)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 36.29   |
+| ARC (25-shot)         | 42.83          |
+| HellaSwag (10-shot)   | 73.28    |
+| MMLU (5-shot)         | 26.87         |
+| TruthfulQA (0-shot)   | 37.26   |
+| Winogrande (5-shot)   | 66.61   |
+| GSM8K (5-shot)        | 1.59        |
+| DROP (3-shot)         | 5.61         |