---
license: afl-3.0
base_model: Viet-Mistral/Vistral-7B-Chat
tags:
- generated_from_trainer
model-index:
- name: vistral-7B_finetuned_A100_3thMay
  results: []
library_name: peft
---

<!-- 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. -->

# vistral-7B_finetuned_A100_3thMay

This model is a fine-tuned version of [Viet-Mistral/Vistral-7B-Chat](https://huggingface.co./Viet-Mistral/Vistral-7B-Chat) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2325

## 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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8751        | 1.0   | 9961  | 0.7999          |
| 0.5978        | 2.0   | 19922 | 0.3976          |
| 0.4389        | 3.0   | 29883 | 0.2833          |
| 0.3505        | 4.0   | 39844 | 0.2442          |
| 0.3048        | 5.0   | 49805 | 0.2325          |


### Framework versions

- PEFT 0.4.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1