---
language:
- fr
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- PaulineSanchez/recipes_translation_400
metrics:
- bleu
model-index:
- name: train_hf_new_fren_batch_12_epoch_4
  results:
  - task:
      name: Translation
      type: translation
    dataset:
      name: PaulineSanchez/recipes_translation_400
      type: PaulineSanchez/recipes_translation_400
      split: validation
    metrics:
    - name: Bleu
      type: bleu
      value: 59.7829
---

<!-- 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. -->

# train_hf_new_fren_batch_12_epoch_4

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-fr-en](https://huggingface.co/Helsinki-NLP/opus-mt-fr-en) on the PaulineSanchez/recipes_translation_400 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7762
- Bleu: 59.7829
- Gen Len: 29.475

## 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: 5e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 27   | 0.8249          | 57.2256 | 29.225  |
| No log        | 2.0   | 54   | 0.7964          | 58.125  | 28.95   |
| No log        | 3.0   | 81   | 0.7786          | 59.3353 | 29.35   |
| No log        | 4.0   | 108  | 0.7762          | 59.7829 | 29.475  |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3