ModelHub XC 67381e5b4b 初始化项目,由ModelHub XC社区提供模型
Model: daviddavidlu/DAPO-with-prompt-augmentation-step2720
Source: Original Platform
2026-04-11 17:34:02 +08:00

license, base_model, library_name, pipeline_tag, tags
license base_model library_name pipeline_tag tags
apache-2.0
Qwen/Qwen2.5-Math-1.5B
transformers text-generation
mathematical-reasoning
reinforcement-learning
grpo

Model Card for DAPO w/ Prompt Augmentation

If you are using the model, a star to our github repo would be really appreciated! 😊

This is the step 2720 checkpoint when training Qwen2.5-Math-1.5B on MATH Level-3-to-5 Dataset using DAPO (no dynamic sampling) with prompt augmentation. The training procedure is outlined in the paper Prompt Augmentation Scales up GRPO Training on Mathematical Reasoning.

Model Sources

Uses

This model is intended for mathematical reasoning tasks. It leverages prompt augmentation to generate reasoning traces under diverse templates, increasing rollout diversity and stability during RL training.

Results

Citation

@misc{lu2026promptaugmentationscalesgrpo,
      title={Prompt Augmentation Scales up GRPO Training on Mathematical Reasoning}, 
      author={Wenquan Lu and Hai Huang and Randall Balestriero},
      journal={arXiv preprint arXiv:2602.03190},
      year={2026},
}
Description
Model synced from source: daviddavidlu/DAPO-with-prompt-augmentation-step2720
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Languages
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