---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-fr
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: tatoeba-tok-fr
  results: []
language:
- tok
- fr
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-fr

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3544
- Bleu: 23.4181

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.8608        | 1.0   | 1167  | 1.6433          | 13.4398 |
| 1.593         | 2.0   | 2334  | 1.5195          | 17.7658 |
| 1.4354        | 3.0   | 3501  | 1.4565          | 15.5366 |
| 1.3449        | 4.0   | 4668  | 1.4217          | 19.8814 |
| 1.2681        | 5.0   | 5835  | 1.4016          | 19.6534 |
| 1.2046        | 6.0   | 7002  | 1.3853          | 21.0562 |
| 1.1545        | 7.0   | 8169  | 1.3738          | 19.8606 |
| 1.1186        | 8.0   | 9336  | 1.3694          | 20.6401 |
| 1.0803        | 9.0   | 10503 | 1.3615          | 20.3338 |
| 1.0504        | 10.0  | 11670 | 1.3601          | 23.0924 |
| 1.021         | 11.0  | 12837 | 1.3570          | 22.4592 |
| 1.0041        | 12.0  | 14004 | 1.3547          | 22.5261 |
| 0.9865        | 13.0  | 15171 | 1.3546          | 23.0413 |
| 0.9706        | 14.0  | 16338 | 1.3544          | 23.1603 |
| 0.9658        | 15.0  | 17505 | 1.3548          | 23.7041 |


### Framework versions

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