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Model description

More information needed

Intended uses & limitations

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Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • optimizer: {'name': 'Adam', 'learning_rate': 0.0005, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training Metrics

Epochs Train Loss
1 68866.578
2 68818.219
3 68850.844
4 68829.688
5 68840.258
6 68813.281
7 68809.414
8 68815.312
9 68805.641
10 68803.672

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