Adding Evaluation Results

README.md

@@ -100,3 +100,17 @@ We'd like to thank:
 - [mlabonne](https://huggingface.co/mlabonne) for his article and resources on implementation of instruction tuning
 - [TheBloke](https://huggingface.co/TheBloke) for his script for LLM quantization.
 
+
+# [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_davzoku__cria-llama2-7b-v1.3)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 45.34   |
+| ARC (25-shot)         | 52.73          |
+| HellaSwag (10-shot)   | 78.58    |
+| MMLU (5-shot)         | 48.3         |
+| TruthfulQA (0-shot)   | 45.58   |
+| Winogrande (5-shot)   | 71.9   |
+| GSM8K (5-shot)        | 8.49        |
+| DROP (3-shot)         | 11.77         |