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Model description

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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': 'RMSprop', 'learning_rate': 0.001, 'decay': 0.0, 'rho': 0.9, 'momentum': 0.0, 'epsilon': 1e-07, 'centered': False}
  • training_precision: float32

Training Metrics

Epochs Train Loss Train Accuracy Validation Loss Validation Accuracy
1 2.157 0.289 1.828 0.371
2 1.795 0.388 1.746 0.409
3 1.639 0.436 1.597 0.43
4 1.523 0.471 1.54 0.463
5 1.427 0.503 1.485 0.479

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