Adding Evaluation Results

README.md

@@ -76,3 +76,17 @@ 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-30b-HF)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 51.93   |
+| ARC (25-shot)         | 64.85          |
+| HellaSwag (10-shot)   | 85.72    |
+| MMLU (5-shot)         | 58.51         |
+| TruthfulQA (0-shot)   | 52.24   |
+| Winogrande (5-shot)   | 80.19   |
+| GSM8K (5-shot)        | 15.54        |
+| DROP (3-shot)         | 6.44         |