base_model, license, library_name, pipeline_tag, tags

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

Model Card for DAPO w/ Prompt Augmentation (Outdated)

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

For more checkpoints with better performance, please refer to DAPO w/ Prompt Augmentation (step 2720) and DAPO w/ Prompt Augmentation (step 2480)

This is the step 2820 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

• Repository 🤖: https://github.com/wenquanlu/prompt-augmentation-GRPO
• Paper 📝: Prompt Augmentation Scales up GRPO Training on Mathematical Reasoning

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},
}