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---
license: apache-2.0
datasets:
- SJTULean/LeanStatement_SFT
language:
- en
result:
dataset:
type: Formalizer Lean
name: miniF2F
metrics:
- name: pass@1
type: pass@1
value: 0.9406
verified: false
base_model:
- Qwen/Qwen2.5-7B-Instruct
---
# LeanFormalizer_SFT
<!-- Provide a quick summary of what the model is/does. -->
Based on Qwen2.5-7b and trained on our LeanStatement_SFT dataset, our model achieves **state-of-the-art** performance in formal mathematics verification, with a **pass@1 compilation success rate** of 94.1% (459/488) on MiniF2F and 75.4% (282/374) on ProofNet benchmarks as of December 2024(while our PPO model achieves 95.3% on MiniF2F and 76.0% on Proofnet). These results demonstrate the effectiveness of scaling laws in mathematical formalization using the Lean theorem prover.
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