---
library_name: transformers
license: mit
base_model: vinai/bartpho-syllable
tags:
- vietnamese-model
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: bartpho-vietnamese
  results: []
datasets:
- 52100176-NguyenTrongDat/Vietnamese_Correction_Data_Chunk
- 52100176-NguyenTrongDat/Data_Collection
- 52100176-NguyenTrongDat/Data_teencode
---

<!-- 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. -->

# bartpho-vietnamese

This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0021
- Sacrebleu: 54.7004

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Sacrebleu |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|
| No log        | 1.0   | 3737  | 0.0073          | 53.9308   |
| No log        | 2.0   | 7474  | 0.0033          | 54.5296   |
| No log        | 3.0   | 11211 | 0.0021          | 54.7004   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0