Mauren/OPUS-en-zh-DE_pos_evi

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

  • Train Loss: 2.9924
  • Validation Loss: 3.8645
  • Train Bleu: 0.6098
  • Train Gen Len: 81.2051
  • Epoch: 2

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
3.2664 3.8681 0.5880 81.3419 0
3.1141 3.8693 0.6464 87.0342 1
2.9924 3.8645 0.6098 81.2051 2

Framework versions

  • Transformers 4.47.1
  • TensorFlow 2.17.1
  • Datasets 3.2.0
  • Tokenizers 0.21.0
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