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mbart-large-50-finetuned-opus-en-pt-translation-finetuned-en-to-pt-dataset-opus-books

This model is a fine-tuned version of Narrativa/mbart-large-50-finetuned-opus-en-pt-translation on the opus_books dataset.

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 79 1.5854 31.2219 26.9149

Framework versions

  • Transformers 4.19.2
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.2
  • Tokenizers 0.12.1
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Dataset used to train VanessaSchenkel/mbart-large-50-finetuned-opus-en-pt-translation-finetuned-en-to-pt-dataset-opus-books