---
base_model: vinai/bartpho-syllable
tags:
- text2text-generation
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: vietnamese-correction-203
  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. -->

# vietnamese-correction-203

This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1838
- Sacrebleu: 27.6927

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Sacrebleu |
|:-------------:|:------:|:-----:|:---------------:|:---------:|
| 0.3565        | 0.7529 | 2000  | 0.1943          | 26.5749   |
| 0.1717        | 1.5059 | 4000  | 0.1713          | 27.1811   |
| 0.116         | 2.2588 | 6000  | 0.1705          | 27.3551   |
| 0.076         | 3.0118 | 8000  | 0.1582          | 27.5668   |
| 0.0418        | 3.7647 | 10000 | 0.1674          | 27.5994   |
| 0.0278        | 4.5176 | 12000 | 0.1839          | 27.6218   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1