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

@@ -36,4 +36,17 @@ This model took `2:31:23` to train in QLoRA on a single  `T4`  GPU.<br>
  - *weight decay*:  `0.001`
  - *optimizer*:  `paged_adamw_32bit`
  - *learning rate schedule*:  `cosine`
- - *warmup ratio (linear)*:  `0.03`
+ - *warmup ratio (linear)*:  `0.03`
+# [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_AtAndDev__ShortKingv0.1)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 31.17   |
+| ARC (25-shot)         | 34.22          |
+| HellaSwag (10-shot)   | 54.59    |
+| MMLU (5-shot)         | 25.78         |
+| TruthfulQA (0-shot)   | 41.64   |
+| Winogrande (5-shot)   | 56.04   |
+| GSM8K (5-shot)        | 0.45        |
+| DROP (3-shot)         | 5.47         |