metadata

language:
  - en
  - fr
datasets:
  - PaulineSanchez/Trad_food
metrics:
  - bleu
tags:
  - food
pipeline_tag: translation

train_hf

This model is a fine-tuned version of 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