---
library_name: transformers
license: mit
base_model: vinai/bartpho-syllable-base
tags:
- text2text-generation
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: vinh-test
  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. -->

# vinh-test

This model is a fine-tuned version of [vinai/bartpho-syllable-base](https://huggingface.co/vinai/bartpho-syllable-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3488
- Model Preparation Time: 0.0071
- Sacrebleu: 92.9401

## 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: 12
- eval_batch_size: 48
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 48
- optimizer: Use 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Model Preparation Time | Sacrebleu |
|:-------------:|:------:|:----:|:---------------:|:----------------------:|:---------:|
| No log        | 0.9231 | 3    | 0.7367          | 0.0071                 | 89.5419   |
| No log        | 1.8462 | 6    | 0.6013          | 0.0071                 | 89.5419   |
| No log        | 2.7692 | 9    | 0.4542          | 0.0071                 | 89.5419   |
| No log        | 4.0    | 13   | 0.3624          | 0.0071                 | 92.9401   |
| No log        | 4.6154 | 15   | 0.3488          | 0.0071                 | 92.9401   |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3