---
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-ru-tok
  results: []
language:
- ru
- tok
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-ru-tok

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: 0.5932
- Bleu: 47.6666

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.0515        | 1.0   | 1167  | 0.8539          | 37.3803 |
| 0.8186        | 2.0   | 2334  | 0.7284          | 41.5032 |
| 0.7002        | 3.0   | 3501  | 0.6803          | 43.5555 |
| 0.6501        | 4.0   | 4668  | 0.6485          | 45.0023 |
| 0.6091        | 5.0   | 5835  | 0.6302          | 45.6329 |
| 0.5778        | 6.0   | 7002  | 0.6180          | 45.8879 |
| 0.553         | 7.0   | 8169  | 0.6109          | 46.6945 |
| 0.533         | 8.0   | 9336  | 0.6041          | 46.6169 |
| 0.5128        | 9.0   | 10503 | 0.6002          | 47.0549 |
| 0.5015        | 10.0  | 11670 | 0.5961          | 47.2017 |
| 0.4851        | 11.0  | 12837 | 0.5962          | 47.5851 |
| 0.4795        | 12.0  | 14004 | 0.5939          | 47.5400 |
| 0.4659        | 13.0  | 15171 | 0.5932          | 47.6666 |
| 0.4608        | 14.0  | 16338 | 0.5939          | 47.6703 |
| 0.4593        | 15.0  | 17505 | 0.5936          | 47.6572 |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.7.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1