metadata
base_model: vinai/bartpho-syllable
tags:
- text2text-generation
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: vietnamese-correction-203
results: []
vietnamese-correction-203
This model is a fine-tuned version of vinai/bartpho-syllable on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1838
- Sacrebleu: 27.6927
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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 |
|---|---|---|---|---|
| 0.3565 | 0.7529 | 2000 | 0.1943 | 26.5749 |
| 0.1717 | 1.5059 | 4000 | 0.1713 | 27.1811 |
| 0.116 | 2.2588 | 6000 | 0.1705 | 27.3551 |
| 0.076 | 3.0118 | 8000 | 0.1582 | 27.5668 |
| 0.0418 | 3.7647 | 10000 | 0.1674 | 27.5994 |
| 0.0278 | 4.5176 | 12000 | 0.1839 | 27.6218 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1