metadata
base_model: vinai/bartpho-syllable
library_name: transformers
license: mit
metrics:
- sacrebleu
tags:
- generated_from_trainer
model-index:
- name: BARTBana_Translation_v00
results: []
BARTBana_Translation_v00
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: 0.6020
- Sacrebleu: 7.9509
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: 64
- eval_batch_size: 64
- 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 | Sacrebleu |
|---|---|---|---|---|
| 1.2433 | 1.0 | 742 | 0.8630 | 0.8963 |
| 1.0005 | 2.0 | 1484 | 0.8077 | 1.7612 |
| 0.9144 | 3.0 | 2226 | 0.7620 | 2.8192 |
| 0.8945 | 4.0 | 2968 | 0.7246 | 3.6968 |
| 0.8435 | 5.0 | 3710 | 0.6943 | 4.8346 |
| 0.8251 | 6.0 | 4452 | 0.6687 | 5.5850 |
| 0.7872 | 7.0 | 5194 | 0.6513 | 6.1145 |
| 0.7674 | 8.0 | 5936 | 0.6385 | 6.5998 |
| 0.76 | 9.0 | 6678 | 0.6263 | 7.0741 |
| 0.7407 | 10.0 | 7420 | 0.6198 | 7.3214 |
| 0.7301 | 11.0 | 8162 | 0.6100 | 7.5060 |
| 0.7294 | 12.0 | 8904 | 0.6077 | 7.6978 |
| 0.7174 | 13.0 | 9646 | 0.6032 | 7.8715 |
| 0.7131 | 14.0 | 10388 | 0.6020 | 7.9509 |
| 0.7028 | 15.0 | 11130 | 0.6015 | 7.9382 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0