metadata
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-vi-en
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: tatoeba-vi-tok
results: []
language:
- vi
- tok
datasets:
- NetherQuartz/tatoeba-tokipona
tatoeba-vi-tok
This model is a fine-tuned version of Helsinki-NLP/opus-mt-vi-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6910
- Bleu: 46.4356
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 | Bleu |
|---|---|---|---|---|
| 1.2609 | 1.0 | 1167 | 1.0286 | 33.8552 |
| 0.98 | 2.0 | 2334 | 0.8700 | 39.5255 |
| 0.8347 | 3.0 | 3501 | 0.8036 | 41.4872 |
| 0.7753 | 4.0 | 4668 | 0.7661 | 43.3025 |
| 0.7272 | 5.0 | 5835 | 0.7389 | 44.2770 |
| 0.6876 | 6.0 | 7002 | 0.7254 | 45.1330 |
| 0.659 | 7.0 | 8169 | 0.7153 | 45.4847 |
| 0.6383 | 8.0 | 9336 | 0.7067 | 45.4353 |
| 0.6122 | 9.0 | 10503 | 0.7015 | 45.7612 |
| 0.5998 | 10.0 | 11670 | 0.6979 | 46.0799 |
| 0.5836 | 11.0 | 12837 | 0.6960 | 46.1173 |
| 0.5732 | 12.0 | 14004 | 0.6928 | 46.2538 |
| 0.5607 | 13.0 | 15171 | 0.6919 | 46.3801 |
| 0.553 | 14.0 | 16338 | 0.6911 | 46.3629 |
| 0.5518 | 15.0 | 17505 | 0.6910 | 46.4356 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.7.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1