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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 Validation Loss
1 0.184 0.105
2 0.101 0.097
3 0.096 0.094
4 0.094 0.092
5 0.092 0.091
6 0.091 0.09
7 0.09 0.089
8 0.09 0.089
9 0.089 0.089
10 0.089 0.088

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