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

@@ -165,4 +165,17 @@ You can test it using the eval notebook [here](https://colab.research.google.com
  
 ## Hardware Requirements
 
-For training we have used a Google Cloud TPUv3-8 VM. For eval, you can use a T4.
+For training we have used a Google Cloud TPUv3-8 VM. For eval, you can use a T4.
+# [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_bertin-project__bertin-gpt-j-6B-alpaca)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 32.11   |
+| ARC (25-shot)         | 36.01          |
+| HellaSwag (10-shot)   | 54.3    |
+| MMLU (5-shot)         | 27.66         |
+| TruthfulQA (0-shot)   | 43.38   |
+| Winogrande (5-shot)   | 55.8   |
+| GSM8K (5-shot)        | 0.0        |
+| DROP (3-shot)         | 7.59         |