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Model description

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Training and evaluation data

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Training procedure

Training hyperparameters

The following hyperparameters were used during training:

name learning_rate decay beta_1 beta_2 epsilon amsgrad training_precision
Adam 0.0010000000474974513 0.0 0.8999999761581421 0.9990000128746033 1e-07 False float32

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