---
base_model: vinai/bartpho-syllable
library_name: transformers
license: mit
metrics:
- sacrebleu
tags:
- generated_from_trainer
model-index:
- name: BARTBana_Translation_v01
  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. -->

# BARTBana_Translation_v01

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: 0.4506
- Sacrebleu: 11.0518

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Sacrebleu |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|
| 0.7912        | 1.0   | 742   | 0.6747          | 2.7391    |
| 0.6623        | 2.0   | 1484  | 0.5821          | 5.7331    |
| 0.5662        | 3.0   | 2226  | 0.5306          | 7.8025    |
| 0.5337        | 4.0   | 2968  | 0.5027          | 8.6825    |
| 0.4913        | 5.0   | 3710  | 0.4858          | 9.4253    |
| 0.4711        | 6.0   | 4452  | 0.4725          | 9.8687    |
| 0.4399        | 7.0   | 5194  | 0.4638          | 10.2200   |
| 0.4208        | 8.0   | 5936  | 0.4584          | 10.3954   |
| 0.4096        | 9.0   | 6678  | 0.4533          | 10.7019   |
| 0.3924        | 10.0  | 7420  | 0.4509          | 10.8096   |
| 0.3796        | 11.0  | 8162  | 0.4499          | 10.7237   |
| 0.3704        | 12.0  | 8904  | 0.4502          | 10.9647   |
| 0.3618        | 13.0  | 9646  | 0.4494          | 10.9840   |
| 0.3556        | 14.0  | 10388 | 0.4496          | 11.0433   |
| 0.3476        | 15.0  | 11130 | 0.4506          | 11.0518   |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0