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

@@ -6,4 +6,17 @@ language:
 - en
 library_name: transformers
 ---
-This is a model fine tuned on an orca dataset and a multi language code dataset. It is one of my first projects, but I am happy with how it works. It took about 6 hours on 2 RTX 4090 GPUs. I used Axolotl to train this (HI IF YOURE SEEING THIS!!!).
+This is a model fine tuned on an orca dataset and a multi language code dataset. It is one of my first projects, but I am happy with how it works. It took about 6 hours on 2 RTX 4090 GPUs. I used Axolotl to train this (HI IF YOURE SEEING THIS!!!).
+# [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_ashercn97__giraffe-7b)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 39.73   |
+| ARC (25-shot)         | 47.18          |
+| HellaSwag (10-shot)   | 75.53    |
+| MMLU (5-shot)         | 38.89         |
+| TruthfulQA (0-shot)   | 38.48   |
+| Winogrande (5-shot)   | 68.98   |
+| GSM8K (5-shot)        | 2.65        |
+| DROP (3-shot)         | 6.39         |