Update README.md

README.md

@@ -39,13 +39,16 @@ This model was built via parameter-efficient finetuning of the [mistralai/Mixtra
 
 ## Evaluation Results
 
-| Metric                | Value |
-|-----------------------|-------|
-| MMLU (5-shot)         | Coming |
-| ARC (25-shot)         | Coming |
-| HellaSwag (10-shot)   | Coming |
-| TruthfulQA (0-shot)   | Coming |
-| Avg.                  | Coming |
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 68.87   |
+| ARC (25-shot)         | 67.24          |
+| HellaSwag (10-shot)   | 86.03    |
+| MMLU (5-shot)         | 68.59         |
+| TruthfulQA (0-shot)   | 59.54   |
+| Winogrande (5-shot)   | 80.43   |
+| GSM8K (5-shot)        | 51.4        |
+
 
 We use Eleuther.AI's [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) to run the benchmark tests above, the same version as Hugging Face's [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).