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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-tok-ru
results: []
language:
- tok
- ru
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-ru
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ru](https://huggingface.co/Helsinki-NLP/opus-mt-en-ru) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4694
- Bleu: 20.4311
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 2.0538 | 1.0 | 1167 | 1.7944 | 7.2757 |
| 1.7461 | 2.0 | 2334 | 1.6562 | 14.4046 |
| 1.5644 | 3.0 | 3501 | 1.5849 | 15.8651 |
| 1.4611 | 4.0 | 4668 | 1.5486 | 16.9808 |
| 1.3698 | 5.0 | 5835 | 1.5209 | 15.9727 |
| 1.305 | 6.0 | 7002 | 1.5049 | 18.1714 |
| 1.2458 | 7.0 | 8169 | 1.4947 | 18.7180 |
| 1.2006 | 8.0 | 9336 | 1.4868 | 19.5074 |
| 1.1555 | 9.0 | 10503 | 1.4800 | 19.5799 |
| 1.1251 | 10.0 | 11670 | 1.4759 | 20.0295 |
| 1.091 | 11.0 | 12837 | 1.4741 | 20.1306 |
| 1.0701 | 12.0 | 14004 | 1.4710 | 19.7831 |
| 1.0433 | 13.0 | 15171 | 1.4715 | 20.5833 |
| 1.0359 | 14.0 | 16338 | 1.4694 | 20.3306 |
| 1.0263 | 15.0 | 17505 | 1.4702 | 20.3269 |
### Framework versions
- Transformers 4.52.4
- Pytorch 2.7.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1 |