---
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: 0.1880
- Sacrebleu: 18.3011

## 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Sacrebleu |
|:-------------:|:------:|:----:|:---------------:|:---------:|
| No log        | 0.5020 | 1000 | 0.4600          | 13.7537   |
| No log        | 1.0040 | 2000 | 0.3053          | 16.1411   |
| No log        | 1.5060 | 3000 | 0.2361          | 17.3069   |
| No log        | 2.0080 | 4000 | 0.1999          | 18.0085   |
| 0.5379        | 2.5100 | 5000 | 0.1880          | 18.3011   |


### Framework versions

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