| --- |
| base_model: CohereLabs/tiny-aya-base |
| library_name: peft |
| model_name: base_dpo |
| tags: |
| - base_model:adapter:CohereLabs/tiny-aya-base |
| - dpo |
| - lora |
| - transformers |
| - trl |
| licence: license |
| pipeline_tag: text-generation |
| --- |
| |
| # Model Card for base_dpo |
| |
| This model is a fine-tuned version of [CohereLabs/tiny-aya-base](https://huggingface.co/CohereLabs/tiny-aya-base). |
| 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="None", device="cuda") |
| output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0] |
| print(output["generated_text"]) |
| ``` |
| |
| ## Training procedure |
| |
| |
| |
| |
| |
| This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290). |
| |
| ### Framework versions |
| |
| - PEFT 0.18.1 |
| - TRL: 0.29.0 |
| - Transformers: 5.3.0 |
| - Pytorch: 2.10.0 |
| - Datasets: 4.8.3 |
| - Tokenizers: 0.22.2 |
| |
| ## Citations |
| |
| Cite DPO as: |
| |
| ```bibtex |
| @inproceedings{rafailov2023direct, |
| title = {{Direct Preference Optimization: Your Language Model is Secretly a Reward Model}}, |
| author = {Rafael Rafailov and Archit Sharma and Eric Mitchell and Christopher D. Manning and Stefano Ermon and Chelsea Finn}, |
| year = 2023, |
| booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023}, |
| url = {http://papers.nips.cc/paper_files/paper/2023/hash/a85b405ed65c6477a4fe8302b5e06ce7-Abstract-Conference.html}, |
| editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine}, |
| } |
| ``` |
| |
| 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} |
| } |
| ``` |
