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50_epoch_model_machine_translation_en_to_vi_ver4

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

  • Loss: 1.3641
  • Bleu: 49.5961

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: 50

Training results

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3
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Finetuned from

Dataset used to train basso4/50_epoch_model_machine_translation_en_to_vi_ver4

Evaluation results