| | --- |
| | base_model: mistralai/Mistral-7B-v0.1 |
| | library_name: peft |
| | model_name: r4 |
| | tags: |
| | - base_model:adapter:mistralai/Mistral-7B-v0.1 |
| | - lora |
| | - sft |
| | - transformers |
| | - trl |
| | licence: license |
| | pipeline_tag: text-generation |
| | --- |
| | |
| | ## Training Summary |
| |
|
| | | Epoch | Step | Training Loss | Validation Loss | |
| | |-------|------|---------------|----------------| |
| | | 0.25 | 60 | 2.8492 | 0.5672 | |
| | | 0.50 | 120 | 0.5017 | 0.4627 | |
| | | 0.75 | 180 | 0.4597 | 0.4517 | |
| | | 1.00 | 240 | 0.4543 | 0.4448 | |
| | | 1.25 | 300 | 0.4387 | 0.4411 | |
| | | 1.50 | 360 | 0.4402 | 0.4373 | |
| | | 1.75 | 420 | 0.4223 | 0.4355 | |
| | | 2.00 | 480 | 0.4264 | 0.4340 | |
| | | 2.25 | 540 | 0.4221 | 0.4330 | |
| | | 2.50 | 600 | 0.4249 | 0.4334 | |
| | | 2.75 | 660 | 0.4144 | 0.4344 | |
| | | 3.00 | 720 | 0.4228 | 0.4343 | |
| |
|
| |
|
| |
|
| | # Model Card for r4 |
| |
|
| | This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1). |
| | 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="a-ord19/r4", 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/ajoseoc-tecnol-gico-de-costa-rica/huggingface/runs/jv0vwfmd) |
| |
|
| |
|
| | This model was trained with SFT. |
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.17.1 |
| | - TRL: 0.24.0 |
| | - Transformers: 4.57.1 |
| | - Pytorch: 2.8.0+cu126 |
| | - Datasets: 4.0.0 |
| | - Tokenizers: 0.22.1 |
| |
|
| | ## Citations |
| |
|
| |
|
| |
|
| | Cite TRL as: |
| | |
| | ```bibtex |
| | @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 Gallou{\'e}dec}, |
| | year = 2020, |
| | journal = {GitHub repository}, |
| | publisher = {GitHub}, |
| | howpublished = {\url{https://github.com/huggingface/trl}} |
| | } |
| | ``` |
