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

@@ -55,3 +55,17 @@ Thank you to LAION and Stability.ai for support and compute resources to experim
 - Conditional pretraining helps the user control the outputs of the model.
 - However, these models (and all language models) can still generate undesirable content.
 - So please enjoy and use with care!
+
+# [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_Rallio67__7B-redpajama-conditional-alpha)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 35.46   |
+| ARC (25-shot)         | 42.58          |
+| HellaSwag (10-shot)   | 69.91    |
+| MMLU (5-shot)         | 26.53         |
+| TruthfulQA (0-shot)   | 36.42   |
+| Winogrande (5-shot)   | 67.17   |
+| GSM8K (5-shot)        | 0.76        |
+| DROP (3-shot)         | 4.86         |