Adding Evaluation Results

README.md

@@ -60,4 +60,17 @@ with torch.no_grad():
     ).cuda()
 output = tokenizer.decode(output_ids[0], skip_special_tokens=True)
 print(output.replace(prompt, '').strip())
-```
+```
+# [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_minlik__chinese-alpaca-33b-merged)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 53.09   |
+| ARC (25-shot)         | 59.3          |
+| HellaSwag (10-shot)   | 78.43    |
+| MMLU (5-shot)         | 57.69         |
+| TruthfulQA (0-shot)   | 52.45   |
+| Winogrande (5-shot)   | 76.09   |
+| GSM8K (5-shot)        | 8.04        |
+| DROP (3-shot)         | 39.67         |