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

@@ -10,4 +10,17 @@ This a highly experimental model, which has barely been tested and isn't necessa
 
 Took around 2 hours to merge with 32gb of ram and about 115gb of swap used.
 
-Note that while the donor model is uncensored, it will still contain similar behavior to the base model. I will probably attempt some future merges using less censored base models.
+Note that while the donor model is uncensored, it will still contain similar behavior to the base model. I will probably attempt some future merges using less censored base models.
+# [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_nkpz__llama2-22b-chat-wizard-uncensored)
+
+| Metric | Value |
+|-----------------------|---------------------------|
+| Avg. | 46.83 |
+| ARC (25-shot) | 56.23 |
+| HellaSwag (10-shot) | 80.39 |
+| MMLU (5-shot) | 53.62 |
+| TruthfulQA (0-shot) | 45.76 |
+| Winogrande (5-shot) | 70.24 |
+| GSM8K (5-shot) | 11.14 |
+| DROP (3-shot) | 10.4 |