metadata
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-fr-en
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: tatoeba-fr-tok
results: []
language:
- fr
- tok
datasets:
- NetherQuartz/tatoeba-tokipona
tatoeba-fr-tok
This model is a fine-tuned version of Helsinki-NLP/opus-mt-fr-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6225
- Bleu: 47.8803
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 |
|---|---|---|---|---|
| 1.1114 | 1.0 | 1167 | 0.8982 | 37.0049 |
| 0.8626 | 2.0 | 2334 | 0.7635 | 42.3598 |
| 0.7411 | 3.0 | 3501 | 0.7142 | 43.3202 |
| 0.6872 | 4.0 | 4668 | 0.6826 | 45.2163 |
| 0.6436 | 5.0 | 5835 | 0.6596 | 46.2536 |
| 0.6095 | 6.0 | 7002 | 0.6495 | 47.2469 |
| 0.5828 | 7.0 | 8169 | 0.6398 | 44.2553 |
| 0.5626 | 8.0 | 9336 | 0.6323 | 46.5712 |
| 0.542 | 9.0 | 10503 | 0.6306 | 47.7902 |
| 0.528 | 10.0 | 11670 | 0.6264 | 46.9619 |
| 0.512 | 11.0 | 12837 | 0.6247 | 47.1636 |
| 0.5036 | 12.0 | 14004 | 0.6226 | 47.9356 |
| 0.4924 | 13.0 | 15171 | 0.6232 | 47.5674 |
| 0.4848 | 14.0 | 16338 | 0.6226 | 47.6125 |
| 0.4824 | 15.0 | 17505 | 0.6225 | 47.5300 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.7.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1