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Model description

More information needed

Intended uses & limitations

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Training and evaluation data

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Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • optimizer: {'name': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training Metrics

Epochs Train Loss Train Accuracy Validation Loss Validation Accuracy
1 1.206 0.636 2.55 0.555
2 0.957 0.696 2.671 0.598
3 0.847 0.729 1.431 0.612
4 0.774 0.751 1.008 0.689
5 0.712 0.771 1.016 0.705

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