marian-finetuned-kde4-en-to-ro

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

  • Train Loss: 0.8613
  • Validation Loss: 1.1016
  • 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 19362, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: mixed_float16

Training results

Train Loss Validation Loss Epoch
1.4939 1.2340 0
1.0577 1.1358 1
0.8613 1.1016 2

Framework versions

  • Transformers 4.32.1
  • TensorFlow 2.10.0
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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