Adding Evaluation Results

README.md

@@ -90,4 +90,17 @@ Base Model: Mistral-7B-v0.1
 
 ## Acknowledgements
 
-Thank you to the [AI Alignment Lab](https://huggingface.co/Alignment-Lab-AI), [vikp](https://huggingface.co/vikp), [jph00](https://huggingface.co/jph00) and others who contributed to this work.
+Thank you to the [AI Alignment Lab](https://huggingface.co/Alignment-Lab-AI), [vikp](https://huggingface.co/vikp), [jph00](https://huggingface.co/jph00) and others who contributed to this work.
+# [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_SciPhi__SciPhi-Self-RAG-Mistral-7B-32k)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 52.83   |
+| ARC (25-shot)         | 57.34          |
+| HellaSwag (10-shot)   | 80.44    |
+| MMLU (5-shot)         | 60.81         |
+| TruthfulQA (0-shot)   | 45.63   |
+| Winogrande (5-shot)   | 74.82   |
+| GSM8K (5-shot)        | 19.71        |
+| DROP (3-shot)         | 31.08         |