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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
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Dataset used to train PaulineSanchez/Modele_traduction_HF