---
tags:
- generated_from_trainer
model-index:
- name: Bartpho_spelling_correction
  results: []
license: apache-2.0
datasets:
- ShynBui/Vietnamese_spelling_error
language:
- vi
metrics:
- bleu
library_name: transformers
pipeline_tag: translation
---

<!-- 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_spelling_correction

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0025

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.0122        | 0.0842 | 2000  | 0.0067          |
| 0.0084        | 0.1684 | 4000  | 0.0053          |
| 0.007         | 0.2526 | 6000  | 0.0045          |
| 0.0062        | 0.3369 | 8000  | 0.0040          |
| 0.0054        | 0.4211 | 10000 | 0.0036          |
| 0.0051        | 0.5053 | 12000 | 0.0034          |
| 0.0046        | 0.5895 | 14000 | 0.0032          |
| 0.0043        | 0.6737 | 16000 | 0.0029          |
| 0.0039        | 0.7579 | 18000 | 0.0027          |
| 0.0038        | 0.8421 | 20000 | 0.0026          |
| 0.0035        | 0.9263 | 22000 | 0.0025          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1