Update README.md

added evaluation metric.

README.md

@@ -26,6 +26,26 @@ This model is a LoRA (Low-Rank Adaptation) fine-tuned version of **Qwen2.5-1.5B-
 
 ---
 
+## Evaluation on MATH-500 Benchmark
+
+After following the sampling-based Pass@1 methodology inspired by [DeepSeek R1](https://arxiv.org/abs/2501.12948), we have
+
+
+| Parameter        | Value   |
+|------------------|---------|
+| **Dataset**      | `uggingFaceH4/MATH-500` |
+| **Temperature**  | `0.6`   |
+| **Top_p**        | `0.95`  |
+| **Num_samples**  | `16` per question |
+
+### Results
+
+- **At-least-one-correct Rate:** **54.60%** (273 out of 500 questions)
+
+*This metric represents the percentage of questions with at least one correct solution among multiple generated attempts.*
+
+---
+
 ## How to Use
 
 ### Example Python Script