---
language:
- en
- fr
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- PaulineSanchez/recipes_translation_400
metrics:
- bleu
model-index:
- name: train_hf_new_batch_8_epoch_3
  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: 57.269
---

<!-- 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_batch_8_epoch_3

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on the PaulineSanchez/recipes_translation_400 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7390
- Bleu: 57.269
- Gen Len: 36.1375

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 40   | 0.7647          | 56.4458 | 36.4625 |
| No log        | 2.0   | 80   | 0.7441          | 55.8074 | 36.4625 |
| No log        | 3.0   | 120  | 0.7390          | 57.269  | 36.1375 |


### Framework versions

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