vinh-test
This model is a fine-tuned version of vinai/bartpho-syllable-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0237
- Sacrebleu: 98.1436
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: 24
- eval_batch_size: 96
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- 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 | Sacrebleu |
|---|---|---|---|---|
| No log | 1.0 | 179 | 0.0514 | 96.4718 |
| No log | 2.0 | 358 | 0.0363 | 97.6428 |
| 0.0916 | 3.0 | 537 | 0.0285 | 97.6959 |
| 0.0916 | 4.0 | 716 | 0.0252 | 97.8422 |
| 0.0916 | 5.0 | 895 | 0.0237 | 98.1436 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
vinai/bartpho-syllable-base