Adding Evaluation Results

README.md

@@ -30,3 +30,17 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 tokenizer = AutoTokenizer.from_pretrained("hiyouga/Baichuan2-7B-Base-LLaMAfied", use_fast=False)
 model = AutoModelForCausalLM.from_pretrained("hiyouga/Baichuan2-7B-Base-LLaMAfied").cuda()
 ```
+
+# [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_hiyouga__Baichuan2-7B-Base-LLaMAfied)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 42.83   |
+| ARC (25-shot)         | 49.57          |
+| HellaSwag (10-shot)   | 73.45    |
+| MMLU (5-shot)         | 54.86         |
+| TruthfulQA (0-shot)   | 37.54   |
+| Winogrande (5-shot)   | 70.72   |
+| GSM8K (5-shot)        | 7.81        |
+| DROP (3-shot)         | 5.85         |