Adding Evaluation Results

README.md

@@ -64,4 +64,17 @@ If you use the data or code in this repo, please cite the repo.
   howpublished = {\url{https://github.com/juyongjiang/CodeUp}},
 }
 ```
-Naturally, you should also cite the original LLaMA V1 [1] & V2 paper [2], and the Self-Instruct paper [3], and the LoRA paper [4], and the [Stanford Alpaca repo](https://github.com/tatsu-lab/stanford_alpaca), and [Alpaca-LoRA repo](https://github.com/tloen/alpaca-lora), and [Code Alpaca repo](https://github.com/sahil280114/codealpaca), and [PEFT](https://github.com/huggingface/peft).
+Naturally, you should also cite the original LLaMA V1 [1] & V2 paper [2], and the Self-Instruct paper [3], and the LoRA paper [4], and the [Stanford Alpaca repo](https://github.com/tatsu-lab/stanford_alpaca), and [Alpaca-LoRA repo](https://github.com/tloen/alpaca-lora), and [Code Alpaca repo](https://github.com/sahil280114/codealpaca), and [PEFT](https://github.com/huggingface/peft).
+# [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_deepse__CodeUp-Llama-2-13b-chat-hf)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 50.48   |
+| ARC (25-shot)         | 59.04          |
+| HellaSwag (10-shot)   | 81.93    |
+| MMLU (5-shot)         | 54.63         |
+| TruthfulQA (0-shot)   | 44.12   |
+| Winogrande (5-shot)   | 74.51   |
+| GSM8K (5-shot)        | 15.24        |
+| DROP (3-shot)         | 23.87         |