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PaulineSanchez/
mt-en-fr_finetuned-recipes

Name: mt-en-fr_finetuned-recipes
Availability: InStock

generated_from_trainer

PaulineSanchez/recipes_translation_2

apache-2.0

model-index

endpoints_compatible

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train_hf_batch_8_epoch_8

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the PaulineSanchez/recipes_translation_2 dataset. It achieves the following results on the evaluation set:

Loss: 0.6032
Bleu: 61.6124
Gen Len: 34.06

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: 8.0

Training results

Framework versions

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

PaulineSanchez/mt-en-fr_finetuned-recipes

train_hf_batch_8_epoch_8

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

PaulineSanchez/
mt-en-fr_finetuned-recipes