71 lines
2.6 KiB
Markdown
71 lines
2.6 KiB
Markdown
---
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base_model: Qwen/Qwen2.5-7B-Instruct
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datasets: DeepMath-103k
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library_name: transformers
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model_name: Qwen-7B_TAC_RLOO
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tags:
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- generated_from_trainer
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- rloo
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- trl
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licence: license
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---
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# Model Card for Qwen-7B_TAC_RLOO
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the [DeepMath-103k](https://huggingface.co/datasets/DeepMath-103k) dataset.
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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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?"
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generator = pipeline("text-generation", model="Thrillcrazyer/Qwen-7B_TAC_RLOO", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<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/pthpark1/TAC/runs/arcccs2h)
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This model was trained with RLOO, a method introduced in [Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs](https://huggingface.co/papers/2402.14740).
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### Framework versions
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- TRL: 0.26.2
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- Transformers: 4.57.3
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- Pytorch: 2.8.0
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- Datasets: 4.4.2
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- Tokenizers: 0.22.1
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## Citations
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Cite RLOO as:
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```bibtex
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@inproceedings{ahmadian2024back,
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title = {{Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs}},
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author = {Arash Ahmadian and Chris Cremer and Matthias Gall{'{e}} and Marzieh Fadaee and Julia Kreutzer and Olivier Pietquin and Ahmet {"{U}}st{"{u}}n and Sara Hooker},
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year = 2024,
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booktitle = {Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), {ACL} 2024, Bangkok, Thailand, August 11-16, 2024},
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pages = {12248--12267},
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publisher = {Association for Computational Linguistics},
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editor = {Lun{-}Wei Ku and Andre Martins and Vivek Srikumar},
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}
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```
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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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 Gallou{\'e}dec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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``` |