Adding Evaluation Results

README.md

@@ -39,4 +39,17 @@ Remember that with lower parameter sizes, the structure of the prompt becomes mo
 - "Compare and contrast your answer with alternatives"
 
 ### Coming Soon
-- Tweet fix for 13B and 7B - lower model sizes seem to be extremely sensitive to hashtags at the end of training data responses, especially at longer cutoffs
+- Tweet fix for 13B and 7B - lower model sizes seem to be extremely sensitive to hashtags at the end of training data responses, especially at longer cutoffs
+# [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_ausboss__llama-30b-supercot)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 53.06   |
+| ARC (25-shot)         | 64.85          |
+| HellaSwag (10-shot)   | 85.08    |
+| MMLU (5-shot)         | 56.56         |
+| TruthfulQA (0-shot)   | 53.96   |
+| Winogrande (5-shot)   | 80.03   |
+| GSM8K (5-shot)        | 11.9        |
+| DROP (3-shot)         | 19.07         |