---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistrAND-v2-mistral-andalusian
  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/fv5gwndn)
# mistrAND-v2-mistral-andalusian

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1894

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## 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
- training_steps: 650

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.8749        | 0.0763 | 50   | 2.0418          |
| 1.5846        | 0.1527 | 100  | 1.7360          |
| 1.3465        | 0.2290 | 150  | 1.6464          |
| 1.5093        | 0.3053 | 200  | 1.5062          |
| 1.204         | 0.3817 | 250  | 1.4444          |
| 1.2046        | 0.4580 | 300  | 1.3813          |
| 1.2638        | 0.5344 | 350  | 1.3477          |
| 1.1846        | 0.6107 | 400  | 1.3114          |
| 1.2367        | 0.6870 | 450  | 1.2750          |
| 1.2948        | 0.7634 | 500  | 1.2401          |
| 1.3076        | 0.8397 | 550  | 1.2119          |
| 0.9692        | 0.9160 | 600  | 1.1995          |
| 1.1368        | 0.9924 | 650  | 1.1894          |


### 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