transformers pytorch marian text2text-generation food translation en fr dataset:PaulineSanchez/Trad_food autotrain_compatible endpoints_compatible region:us
---
datasets:
- PaulineSanchez/Trad_food
language:
- en
- fr
metrics:
- bleu
pipeline_tag: translation
tags:
- food
---

# train_hf

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/Trad_food dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5736
- Bleu: 77.4387
- Gen Len: 10.8386

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6.0

### Training results



### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3