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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 1.189 0.639 2.374 0.596
2 0.954 0.697 1.89 0.59
3 0.84 0.732 1.3 0.651
4 0.77 0.753 1.014 0.677
5 0.704 0.773 1.053 0.668

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