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hcho22/opus-mt-ko-en-finetuned-kr-to-en

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

  • Train Loss: 1.2330
  • Validation Loss: 1.2844
  • Train Bleu: 30.7578
  • Train Gen Len: 13.9104
  • Epoch: 0

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:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Bleu Train Gen Len Epoch
1.2330 1.2844 30.7578 13.9104 0

Framework versions

  • Transformers 4.24.0
  • TensorFlow 2.9.2
  • Datasets 2.6.1
  • Tokenizers 0.13.2
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