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---
license: apache-2.0
datasets:
- SJTULean/LeanStatement_SFT
- SJTULean/LeanStatement_RL
language:
- en
metrics:
- accuracy
base_model:
- Qwen/Qwen2.5-7B-Instruct
---
Through PPO using a reward model trained on merely 5% of the LeanStatement_RL dataset, our model achieved enhanced performance, reaching a **pass@1 compilation success rate** of **95.3%** (465/488) on MiniF2F and **76.0%** (284/374) on ProofNet benchmarks.
Combined with our SFT results, these findings establish a new **state-of-the-art** in mathematics formalization as of December 2024.
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