Create README.md

README.md

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+# MathMind
+
+Evaluations:
+
+| Model | AIME 2024 | MATH 500 | AMC 2023 | Minerva Math | OlympiadBench | Avg. |
+|-------|-----------|-----------|-----------|--------------|---------------|------|
+| Qwen2.5-Math-7B-Instruct | 13.3 | 79.8 | 50.6 | 34.6 | 40.7 | 43.8 |
+| rStar-Math-7B | 26.7 | 78.4 | 47.5 | - | 47.1 | - |
+| Eurus-2-7B-PRIME | 26.7 | 79.2 | 57.8 | 38.6 | 42.1 | 48.9 |
+| Qwen2.5-7B-SimpleRL | 26.7 | 82.4 | 62.5 | <strong>39.7</strong> | 43.3 | 50.9 |
+| DeepSeek-R1-Distill-Qwen-1.5B | 28.8 | 82.8 | 62.9 | 26.5 | 43.3 | 48.9 |
+| Still-1.5B | 32.5 | 84.4 | 66.7 | 29.0 | 45.4 | 51.6 |
+| DeepScaleR-1.5B-Preview | <strong>43.1</strong> | <strong>87.8</strong> | <strong>73.6</strong> | 30.2 | 50.0| 57.0 |
+| <strong>MathMind</strong> | 40.8 | 85.2 | 70.9 | 30.2 | <strong>52.0</strong> | <strong>56.1</strong> |
+| O1-Preview | 40.0 | 81.4 | - | - | - | - |
+
+## Acknowledgements
+
+- The training experiments are powered by  [verl](https://github.com/volcengine/verl), an open-source RLHF library.
+- The model is trained on top of [`DeepSeek-R1-Distill-Qwen-1.5B`](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B).
+