Adding Evaluation Results

README.md

@@ -69,3 +69,17 @@ python finetune.py \
 ```
 
 You can find how the training went from W&B report [here](https://wandb.ai/chansung18/gpt4_alpaca_lora/runs/w3syd157?workspace=user-chansung18).
+
+# [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_TheBloke__gpt4-alpaca-lora-13B-HF)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 47.17   |
+| ARC (25-shot)         | 59.56          |
+| HellaSwag (10-shot)   | 82.09    |
+| MMLU (5-shot)         | 47.48         |
+| TruthfulQA (0-shot)   | 48.96   |
+| Winogrande (5-shot)   | 76.72   |
+| GSM8K (5-shot)        | 9.1        |
+| DROP (3-shot)         | 6.32         |