Adding Evaluation Results

README.md

@@ -14,4 +14,17 @@ This model is tuned on the **LogiCoT** data and the GPT-4 alpaca data with the *
 
 We use 2 A100 GPUs
 
-We first instruction-tuning LLaMa-7b on the GPT-4 alpaca data for 3 days, then on the LogiCoT data for 4 days.
+We first instruction-tuning LLaMa-7b on the GPT-4 alpaca data for 3 days, then on the LogiCoT data for 4 days.
+# [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_csitfun__llama-7b-logicot)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 39.37   |
+| ARC (25-shot)         | 47.01          |
+| HellaSwag (10-shot)   | 72.56    |
+| MMLU (5-shot)         | 38.93         |
+| TruthfulQA (0-shot)   | 43.63   |
+| Winogrande (5-shot)   | 67.56   |
+| GSM8K (5-shot)        | 0.0        |
+| DROP (3-shot)         | 5.92         |