| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: mistralai/Mistral-7B-v0.1 |
| model-index: |
| - name: mistrAND-7B-v1 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tsakonian_ai/mistral-andalusian/runs/mh4xznd3) |
| # MistrAND-7B-v1 |
|
|
| MistrAND 7B v1 is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the [OASST2 dataset](https://huggingface.co/datasets/OpenAssistant/oasst2) converted to a [custom Andalusian Spanish orthography](https://jgchaparro.github.io/posts/Una-propuesta-ortogr%C3%A1fica-para-el-habla-andaluza/). |
|
|
| This project is part of the Master's Degree Final Thesis titled `Conservational AI for endangered languages: a preservation strategy for Tsakonian Greek upon the Andalusian Spanish case`, aiming to preserve endangered languages by storing them in QLoRA adapters for unlimited use in the future. |
|
|
| ## Links |
|
|
| * [Model repository on GitHub](https://github.com/jgchaparro/MistrAND-7B-v1) |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - train_batch_size: 2 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 1 |
| - num_epochs: 1 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.9639 | 0.1796 | 1000 | 0.8628 | |
| | 0.753 | 0.3593 | 2000 | 0.7898 | |
| | 0.713 | 0.5389 | 3000 | 0.7348 | |
| | 0.6756 | 0.7185 | 4000 | 0.6888 | |
| | 0.6665 | 0.8981 | 5000 | 0.6530 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.10.1.dev0 |
| - Transformers 4.41.0.dev0 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
