BARTBana_v5
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: 1.5331
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1425 | 1.0 | 6519 | 2.7167 |
| 2.6259 | 2.0 | 13038 | 2.2817 |
| 2.3452 | 3.0 | 19557 | 2.1062 |
| 2.1811 | 4.0 | 26076 | 1.9017 |
| 2.0841 | 5.0 | 32595 | 1.8220 |
| 1.9879 | 6.0 | 39114 | 1.7374 |
| 1.9034 | 7.0 | 45633 | 1.7504 |
| 1.8565 | 8.0 | 52152 | 1.6704 |
| 1.8123 | 9.0 | 58671 | 1.6438 |
| 1.7974 | 10.0 | 65190 | 1.5835 |
| 1.7586 | 11.0 | 71709 | 1.5772 |
| 1.7371 | 12.0 | 78228 | 1.5353 |
| 1.7152 | 13.0 | 84747 | 1.5148 |
| 1.6921 | 14.0 | 91266 | 1.4985 |
| 1.688 | 15.0 | 97785 | 1.5129 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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