---
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