Adding Evaluation Results

README.md

@@ -43,4 +43,17 @@ MMLU (5 shot): 64.20
 
 ## Prompting:
 
-Model was trained with legacy airoboros <2.0 system prompt. See [bhenrym14/airoboros-33b-gpt4-1.4.1-lxctx-PI-16384-fp16](https://huggingface.co/bhenrym14/airoboros-33b-gpt4-1.4.1-lxctx-PI-16384-fp16) model card for details.
+Model was trained with legacy airoboros <2.0 system prompt. See [bhenrym14/airoboros-33b-gpt4-1.4.1-lxctx-PI-16384-fp16](https://huggingface.co/bhenrym14/airoboros-33b-gpt4-1.4.1-lxctx-PI-16384-fp16) model card for details.
+# [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_bhenrym14__mistral-7b-platypus-fp16)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 56.89   |
+| ARC (25-shot)         | 63.05          |
+| HellaSwag (10-shot)   | 84.15    |
+| MMLU (5-shot)         | 64.11         |
+| TruthfulQA (0-shot)   | 45.07   |
+| Winogrande (5-shot)   | 78.53   |
+| GSM8K (5-shot)        | 17.36        |
+| DROP (3-shot)         | 45.92         |