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MaryaAI/opus-mt-ar-en-finetunedQAdata-v1-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: 0.0053
  • Validation Loss: 8.2764
  • Epoch: 14

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 Epoch
0.0090 12.3530 0
0.0134 11.3018 1
0.0110 10.5958 2
0.0083 9.7381 3
0.0068 8.9434 4
0.0080 12.7723 5
0.0071 11.5191 6
0.0077 10.6246 7
0.0101 10.3368 8
0.0092 8.7824 9
0.0070 7.7344 10
0.0070 8.2180 11
0.0079 7.8572 12
0.0070 9.3053 13
0.0053 8.2764 14

Framework versions

  • Transformers 4.19.2
  • TensorFlow 2.8.0
  • Datasets 2.2.1
  • Tokenizers 0.12.1
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