metadata
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ru
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: tatoeba-en-tok
results: []
language:
- en
- tok
datasets:
- NetherQuartz/tatoeba-tokipona
tatoeba-en-tok
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ru on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4513
- Bleu: 49.2199
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 |
|---|---|---|---|---|
| 0.8381 | 1.0 | 1167 | 0.6677 | 38.6270 |
| 0.6401 | 2.0 | 2334 | 0.5611 | 42.8112 |
| 0.5453 | 3.0 | 3501 | 0.5228 | 44.9041 |
| 0.5046 | 4.0 | 4668 | 0.4977 | 46.2278 |
| 0.474 | 5.0 | 5835 | 0.4806 | 47.2086 |
| 0.4466 | 6.0 | 7002 | 0.4723 | 47.5220 |
| 0.4274 | 7.0 | 8169 | 0.4662 | 48.3719 |
| 0.4134 | 8.0 | 9336 | 0.4587 | 48.4629 |
| 0.3949 | 9.0 | 10503 | 0.4593 | 48.8579 |
| 0.3864 | 10.0 | 11670 | 0.4537 | 48.6287 |
| 0.375 | 11.0 | 12837 | 0.4546 | 48.8812 |
| 0.3692 | 12.0 | 14004 | 0.4522 | 49.1093 |
| 0.3608 | 13.0 | 15171 | 0.4524 | 49.1794 |
| 0.3553 | 14.0 | 16338 | 0.4513 | 49.2199 |
| 0.3533 | 15.0 | 17505 | 0.4518 | 49.2096 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.7.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1