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---
library_name: transformers
license: cc-by-4.0
base_model: Helsinki-NLP/opus-mt-ru-en
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: tatoeba-tok-en
results: []
language:
- tok
- en
datasets:
- NetherQuartz/tatoeba-tokipona
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tatoeba-tok-en
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ru-en](https://huggingface.co/Helsinki-NLP/opus-mt-ru-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4103
- Bleu: 24.8720
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.9475 | 1.0 | 1167 | 1.7238 | 18.0675 |
| 1.6448 | 2.0 | 2334 | 1.5780 | 20.8358 |
| 1.4672 | 3.0 | 3501 | 1.5123 | 22.5640 |
| 1.3647 | 4.0 | 4668 | 1.4765 | 23.4342 |
| 1.2831 | 5.0 | 5835 | 1.4523 | 24.3822 |
| 1.2213 | 6.0 | 7002 | 1.4393 | 24.6540 |
| 1.1609 | 7.0 | 8169 | 1.4295 | 25.0382 |
| 1.1231 | 8.0 | 9336 | 1.4235 | 24.8617 |
| 1.076 | 9.0 | 10503 | 1.4165 | 23.6289 |
| 1.0489 | 10.0 | 11670 | 1.4162 | 25.8471 |
| 1.0174 | 11.0 | 12837 | 1.4112 | 25.1640 |
| 0.9961 | 12.0 | 14004 | 1.4114 | 22.6132 |
| 0.9735 | 13.0 | 15171 | 1.4110 | 25.1948 |
| 0.9597 | 14.0 | 16338 | 1.4103 | 23.6949 |
| 0.9519 | 15.0 | 17505 | 1.4107 | 24.2304 |
### Framework versions
- Transformers 4.52.4
- Pytorch 2.7.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1 |