metadata
library_name: transformers
license: mit
base_model: vinai/bartpho-syllable
tags:
- generated_from_trainer
model-index:
- name: BARTBana_v1
results: []
BARTBana_v1
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: 1.5525
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.2284 | 1.0 | 1316 | 3.1527 |
| 2.6988 | 2.0 | 2632 | 2.3799 |
| 2.38 | 3.0 | 3948 | 2.0462 |
| 2.0879 | 4.0 | 5264 | 1.8895 |
| 1.9391 | 5.0 | 6580 | 1.7817 |
| 1.8423 | 6.0 | 7896 | 1.7480 |
| 1.7697 | 7.0 | 9212 | 1.6467 |
| 1.6992 | 8.0 | 10528 | 1.5939 |
| 1.6668 | 9.0 | 11844 | 1.5594 |
| 1.632 | 10.0 | 13160 | 1.5200 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0