---
base_model: mistralai/Mistral-7B-v0.3
library_name: peft
tags:
- generated_from_trainer
model-index:
- name: mistral-7B-peft
  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. -->

# mistral-7B-peft

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0913

## 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: 2e-05
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1499        | 1.0   | 116  | 0.1287          |
| 0.1106        | 2.0   | 232  | 0.1026          |
| 0.0914        | 3.0   | 348  | 0.0913          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.43.3
- Pytorch 2.0.1
- Datasets 2.20.0
- Tokenizers 0.19.1