---
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