metadata
library_name: transformers
license: mit
base_model: vinai/bartpho-syllable
tags:
- vietnamese-model
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: bartpho-vietnamese
results: []
datasets:
- 52100176-NguyenTrongDat/Vietnamese_Correction_Data_Chunk
- 52100176-NguyenTrongDat/Data_Collection
- 52100176-NguyenTrongDat/Data_teencode
bartpho-vietnamese
This model is a fine-tuned version of vinai/bartpho-syllable on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0021
- Sacrebleu: 54.7004
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|---|---|---|---|---|
| No log | 1.0 | 3737 | 0.0073 | 53.9308 |
| No log | 2.0 | 7474 | 0.0033 | 54.5296 |
| No log | 3.0 | 11211 | 0.0021 | 54.7004 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0