---
base_model: vinai/bartpho-syllable
tags:
- vietnamese-model
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: nlp-vietnamese
  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

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: 0.1109
- Sacrebleu: 18.8039

## 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: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 48
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log        | 0.992 | 62   | 0.7852          | 5.8526    |
| No log        | 2.0   | 125  | 0.2320          | 12.5980   |
| No log        | 2.992 | 187  | 0.1587          | 15.8119   |
| No log        | 4.0   | 250  | 0.1222          | 17.9026   |
| No log        | 4.96  | 310  | 0.1109          | 18.8039   |


### Framework versions

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