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

# nlp_vietnamese_spelling

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: 0.3776
- Sacrebleu: 9.6073

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- 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 |
|:-------------:|:------:|:----:|:---------------:|:---------:|
| 1.6702        | 0.4803 | 500  | 0.8637          | 5.3242    |
| 1.0413        | 0.9606 | 1000 | 0.6961          | 6.4143    |
| 0.7764        | 1.4409 | 1500 | 0.5493          | 7.8371    |
| 0.6854        | 1.9212 | 2000 | 0.4883          | 8.3411    |
| 0.5523        | 2.4015 | 2500 | 0.4498          | 8.7689    |
| 0.5078        | 2.8818 | 3000 | 0.4146          | 9.2720    |
| 0.4226        | 3.3622 | 3500 | 0.4010          | 9.3349    |
| 0.4222        | 3.8425 | 4000 | 0.3924          | 9.4525    |
| 0.3832        | 4.3228 | 4500 | 0.3839          | 9.5898    |
| 0.3634        | 4.8031 | 5000 | 0.3776          | 9.6073    |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1