Adding Evaluation Results

README.md

@@ -41,4 +41,17 @@ ASSISTANT:
 - Highest priority right now is V3.1 with more optimized training and iterative dataset improvements based on testing.
 
 ### Note:
-Through testing V2, I realized some alignment data had leaked in, causing the model to be less cooperative then intended.  This model should do much better due to stricter filetering.
+Through testing V2, I realized some alignment data had leaked in, causing the model to be less cooperative then intended.  This model should do much better due to stricter filetering.
+# [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_totally-not-an-llm__EverythingLM-13b-V3-16k)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 44.82   |
+| ARC (25-shot)         | 58.19          |
+| HellaSwag (10-shot)   | 80.12    |
+| MMLU (5-shot)         | 50.48         |
+| TruthfulQA (0-shot)   | 45.18   |
+| Winogrande (5-shot)   | 70.72   |
+| GSM8K (5-shot)        | 1.97        |
+| DROP (3-shot)         | 7.06         |