| --- |
| base_model: Qwen/Qwen2.5-1.5B-Instruct |
| library_name: transformers |
| model_name: output-curriculum-binary |
| tags: |
| - generated_from_trainer |
| - trl |
| - grpo |
| licence: license |
| --- |
| |
| # Model Card for output-curriculum-binary |
|
|
| This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct). |
| It has been trained using [TRL](https://github.com/huggingface/trl). |
|
|
| ## Quick start |
|
|
| ```python |
| from transformers import pipeline |
| |
| question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" |
| generator = pipeline("text-generation", model="manavgoel4/output-curriculum-binary", device="cuda") |
| output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0] |
| print(output["generated_text"]) |
| ``` |
|
|
| ## Training procedure |
|
|
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/manavgoel47-san-jose-state-university/grpo-random-vs-strat/runs/kz2ygwjm) |
|
|
|
|
|
|
| This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300). |
|
|
| ### Framework versions |
|
|
| - TRL: 0.29.0 |
| - Transformers: 5.2.0 |
| - Pytorch: 2.10.0 |
| - Datasets: 4.6.1 |
| - Tokenizers: 0.22.2 |
|
|
| ## Citations |
|
|
| Cite GRPO as: |
|
|
| ```bibtex |
| @article{shao2024deepseekmath, |
| 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: |
| |
| ```bibtex |
| @software{vonwerra2020trl, |
| title = {{TRL: Transformers Reinforcement Learning}}, |
| author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin}, |
| license = {Apache-2.0}, |
| url = {https://github.com/huggingface/trl}, |
| year = {2020} |
| } |
| ``` |
