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

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-fr-en](https://huggingface.co/Helsinki-NLP/opus-mt-fr-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6225
- Bleu: 47.8803

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.1114        | 1.0   | 1167  | 0.8982          | 37.0049 |
| 0.8626        | 2.0   | 2334  | 0.7635          | 42.3598 |
| 0.7411        | 3.0   | 3501  | 0.7142          | 43.3202 |
| 0.6872        | 4.0   | 4668  | 0.6826          | 45.2163 |
| 0.6436        | 5.0   | 5835  | 0.6596          | 46.2536 |
| 0.6095        | 6.0   | 7002  | 0.6495          | 47.2469 |
| 0.5828        | 7.0   | 8169  | 0.6398          | 44.2553 |
| 0.5626        | 8.0   | 9336  | 0.6323          | 46.5712 |
| 0.542         | 9.0   | 10503 | 0.6306          | 47.7902 |
| 0.528         | 10.0  | 11670 | 0.6264          | 46.9619 |
| 0.512         | 11.0  | 12837 | 0.6247          | 47.1636 |
| 0.5036        | 12.0  | 14004 | 0.6226          | 47.9356 |
| 0.4924        | 13.0  | 15171 | 0.6232          | 47.5674 |
| 0.4848        | 14.0  | 16338 | 0.6226          | 47.6125 |
| 0.4824        | 15.0  | 17505 | 0.6225          | 47.5300 |


### Framework versions

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