metadata
base_model: vinai/bartpho-syllable
library_name: transformers
license: mit
tags:
- generated_from_trainer
model-index:
- name: BARTBana_v3
results: []
BARTBana_v3
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: 1.0945
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8511 | 1.0 | 6519 | 1.6694 |
| 1.4914 | 2.0 | 13038 | 1.3588 |
| 1.3254 | 3.0 | 19557 | 1.2483 |
| 1.2197 | 4.0 | 26076 | 1.1328 |
| 1.1957 | 5.0 | 32595 | 1.0928 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0