Adding Evaluation Results

README.md

@@ -25,3 +25,17 @@ Multi-line:
 - The open-source [epfLLM/Megatron-LLM](https://github.com/epfLLM/Megatron-LLM) trainer was used for fine-tuning.
 - [rombodawg](https://huggingface.co/rombodawg) curated and published [LosslessMegaCodeTrainingV2_1m_Evol_Uncensored](https://huggingface.co/datasets/rombodawg/LosslessMegaCodeTrainingV2_1m_Evol_Uncensored)
 - [andreaskoepf](https://github.com/andreaskoepf/) prepared & orchestrated the training.
+
+# [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_OpenAssistant__llama2-13b-megacode2-oasst)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 49.61   |
+| ARC (25-shot)         | 60.67          |
+| HellaSwag (10-shot)   | 81.93    |
+| MMLU (5-shot)         | 57.38         |
+| TruthfulQA (0-shot)   | 47.85   |
+| Winogrande (5-shot)   | 76.16   |
+| GSM8K (5-shot)        | 15.54        |
+| DROP (3-shot)         | 7.74         |