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opus-mt-ar-en-finetunedTanzil-v5-ar-to-en

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

  • Train Loss: 0.8101
  • Validation Loss: 0.9477
  • Train Bleu: 9.3241
  • Train Gen Len: 88.73
  • Train Rouge1: 56.4906
  • Train Rouge2: 34.2668
  • Train Rougel: 53.2279
  • Train Rougelsum: 53.7836
  • 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 Train Rouge1 Train Rouge2 Train Rougel Train Rougelsum Epoch
0.8735 0.9809 11.0863 78.68 56.4557 33.3673 53.4828 54.1197 0
0.8408 0.9647 9.8543 88.955 57.3797 34.3539 53.8783 54.3714 1
0.8101 0.9477 9.3241 88.73 56.4906 34.2668 53.2279 53.7836 2

Framework versions

  • Transformers 4.17.0.dev0
  • TensorFlow 2.7.0
  • Datasets 1.18.4.dev0
  • Tokenizers 0.10.3
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