---
license: afl-3.0
library_name: peft
tags:
- generated_from_trainer
base_model: Viet-Mistral/Vistral-7B-Chat
model-index:
- name: vistral-7B_finetuned_A100_April24th
  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. -->

# vistral-7B_finetuned_A100_April24th

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: 0.1997

## 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: 1
- eval_batch_size: 1
- 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.7221        | 1.0   | 79685  | 0.5586          |
| 0.467         | 2.0   | 159370 | 0.3150          |
| 0.3586        | 3.0   | 239055 | 0.2440          |
| 0.2954        | 4.0   | 318740 | 0.2116          |
| 0.2556        | 5.0   | 398425 | 0.1997          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.39.3
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2