---
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-en-tok
  results: []
language:
- en
- 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-en-tok

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: 0.4513
- Bleu: 49.2199

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.8381        | 1.0   | 1167  | 0.6677          | 38.6270 |
| 0.6401        | 2.0   | 2334  | 0.5611          | 42.8112 |
| 0.5453        | 3.0   | 3501  | 0.5228          | 44.9041 |
| 0.5046        | 4.0   | 4668  | 0.4977          | 46.2278 |
| 0.474         | 5.0   | 5835  | 0.4806          | 47.2086 |
| 0.4466        | 6.0   | 7002  | 0.4723          | 47.5220 |
| 0.4274        | 7.0   | 8169  | 0.4662          | 48.3719 |
| 0.4134        | 8.0   | 9336  | 0.4587          | 48.4629 |
| 0.3949        | 9.0   | 10503 | 0.4593          | 48.8579 |
| 0.3864        | 10.0  | 11670 | 0.4537          | 48.6287 |
| 0.375         | 11.0  | 12837 | 0.4546          | 48.8812 |
| 0.3692        | 12.0  | 14004 | 0.4522          | 49.1093 |
| 0.3608        | 13.0  | 15171 | 0.4524          | 49.1794 |
| 0.3553        | 14.0  | 16338 | 0.4513          | 49.2199 |
| 0.3533        | 15.0  | 17505 | 0.4518          | 49.2096 |


### Framework versions

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