| --- |
| base_model: microsoft/Phi-3-mini-4k-instruct |
| library_name: transformers |
| model_name: trainer_output |
| tags: |
| - generated_from_trainer |
| - trl |
| - sft |
| licence: license |
| --- |
| |
| # Model Card for trainer_output |
| |
| This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-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="Perditio/trainer_output", 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/yyiliu/ft/runs/h6ekepkq) |
| |
| |
| This model was trained with SFT. |
| |
| ### Framework versions |
| |
| - TRL: 0.28.0 |
| - Transformers: 5.1.0 |
| - Pytorch: 2.10.0+cu128 |
| - Datasets: 4.5.0 |
| - Tokenizers: 0.22.2 |
| |
| ## Citations |
| |
| |
| |
| 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} |
| } |
| ``` |
