Adding Evaluation Results

README.md

@@ -208,3 +208,17 @@ The 175B model was trained on 992 *80GB A100 GPUs*. The training duration was ro
       primaryClass={cs.CL}
 }
 ```
+
+# [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_facebook__opt-66b)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 37.31   |
+| ARC (25-shot)         | 46.33          |
+| HellaSwag (10-shot)   | 76.25    |
+| MMLU (5-shot)         | 26.99         |
+| TruthfulQA (0-shot)   | 35.43   |
+| Winogrande (5-shot)   | 70.01   |
+| GSM8K (5-shot)        | 1.14        |
+| DROP (3-shot)         | 5.01         |