lmassaron/gemma-2-2b-it-grpo-gsm8k

Model Card for Model ID

This model is a fine-tuned version of Google/gemma-2-2b-it on the dataset GSM8k. It has been trained using GRPOTrainer from TRL.

Quick start

from transformers import pipeline

question = "Which is bigger? 9.11 or 9.9?"
generator = pipeline("text-generation", model="lmassaron/gemma-2-2b-it-grpo-gsm8k", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=256, return_full_text=False)[0]
print(output["generated_text"])

Training procedure

This model was trained with GRPO, a method introduced in DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Framework versions

• TRL: 0.15.1
• Transformers: 4.49.0
• Pytorch: 2.5.1+cu124
• Datasets: 3.3.1
• Tokenizers: 0.21.0

Citations

Cite GRPO as:

@article{zhihong2024deepseekmath,
    title        = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
    author       = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo},
    year         = 2024,
    eprint       = {arXiv:2402.03300},
}

Cite TRL as:

@misc{vonwerra2022trl,
    title        = {{TRL: Transformer Reinforcement Learning}},
    author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
    year         = 2020,
    journal      = {GitHub repository},
    publisher    = {GitHub},
    howpublished = {\url{https://github.com/huggingface/trl}}
}