---
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