This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the kde4 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8666
  • Bleu: 53.2503
  • Gen Len: 14.7005

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: 32
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.12.0.dev0
  • Pytorch 1.8.1+cu111
  • Datasets 1.12.2.dev0
  • Tokenizers 0.10.3

Select AutoNLP in the “Train” menu to fine-tune this model automatically.

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Evaluation results