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rashid996958/Helsinki-shirsh-finetuned-translation-english-to-hindi

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

  • Train Loss: 4.5681
  • Train Accuracy: 0.0591
  • Validation Loss: 4.3657
  • Validation Accuracy: 0.0616
  • Epoch: 9

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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 10, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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: float32

Training results

Train Loss Train Accuracy Validation Loss Validation Accuracy Epoch
4.5704 0.0591 4.3657 0.0616 0
4.5693 0.0591 4.3657 0.0616 1
4.5656 0.0591 4.3657 0.0616 2
4.5684 0.0591 4.3657 0.0616 3
4.5659 0.0591 4.3657 0.0616 4
4.5656 0.0591 4.3657 0.0616 5
4.5667 0.0591 4.3657 0.0616 6
4.5665 0.0591 4.3657 0.0616 7
4.5702 0.0590 4.3657 0.0616 8
4.5681 0.0591 4.3657 0.0616 9

Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.13.0
  • Datasets 2.1.0
  • Tokenizers 0.14.1
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