Adding Evaluation Results

README.md

@@ -161,3 +161,17 @@ The 175B model was trained on 992 *80GB A100 GPUs*. The training duration was ro
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+
+# [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-350m)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 26.32   |
+| ARC (25-shot)         | 23.55          |
+| HellaSwag (10-shot)   | 36.73    |
+| MMLU (5-shot)         | 26.02         |
+| TruthfulQA (0-shot)   | 40.83   |
+| Winogrande (5-shot)   | 52.64   |
+| GSM8K (5-shot)        | 0.3        |
+| DROP (3-shot)         | 4.16         |