Adding Evaluation Results

This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

README.md

@@ -90,4 +90,17 @@ Nucleus-22B-token-500B was trained on 256 A100 80GB GPUs, using a FSDP
 
 #### Speeds, Sizes, Times
 
-Training happened in early August 2023 and took about two weeks.
+Training happened in early August 2023 and took about two weeks.
+# [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_NucleusAI__nucleus-22B-token-500B)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 36.02   |
+| ARC (25-shot)         | 40.7          |
+| HellaSwag (10-shot)   | 69.39    |
+| MMLU (5-shot)         | 30.11         |
+| TruthfulQA (0-shot)   | 39.16   |
+| Winogrande (5-shot)   | 67.64   |
+| GSM8K (5-shot)        | 0.99        |
+| DROP (3-shot)         | 4.19         |