peft safetensors mistral trl sft generated_from_trainer dataset:generator base_model:Viet-Mistral/Vistral-7B-Chat base_model:adapter:Viet-Mistral/Vistral-7B-Chat license:afl-3.0 region:us
---
base_model: Viet-Mistral/Vistral-7B-Chat
datasets:
- generator
library_name: peft
license: afl-3.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: vietnamese-news-summarization-vistral-7b
  results: []
---

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# vietnamese-news-summarization-vistral-7b

This model is a fine-tuned version of [Viet-Mistral/Vistral-7B-Chat](https://huggingface.co/Viet-Mistral/Vistral-7B-Chat) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8576

## 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-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 100

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.0431        | 0.0060 | 20   | 2.0914          |
| 2.0513        | 0.0119 | 40   | 2.0405          |
| 2.0366        | 0.0179 | 60   | 1.9899          |
| 1.946         | 0.0238 | 80   | 1.9301          |
| 1.9324        | 0.0298 | 100  | 1.8576          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.19.1