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PaulineSanchez/translation_for_recipes_fr_en

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
2likes14downloads
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trainhfnewfrenbatch12epoch_4

This model is a fine-tuned version of Helsinki-NLP/opus-mt-fr-en on the PaulineSanchez/recipestranslation400 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
  • —trainbatchsize: 12
  • —evalbatchsize: 12
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 4.0

Training results

Training LossEpochStepValidation LossBleuGen Len
No log1.0270.824957.225629.225
No log2.0540.796458.12528.95
No log3.0810.778659.335329.35
No log4.01080.776259.782929.475

Framework versions

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