Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

Hyperparameters Value
name Adam
weight_decay None
clipnorm None
global_clipnorm None
clipvalue None
use_ema False
ema_momentum 0.99
ema_overwrite_frequency None
jit_compile True
is_legacy_optimizer False
learning_rate.module keras.optimizers.schedules
learning_rate.class_name PolynomialDecay
learning_rate.config.initial_learning_rate 2e-05
learning_rate.config.decay_steps 32050
learning_rate.config.end_learning_rate 0.0
learning_rate.config.power 1.0
learning_rate.config.cycle False
learning_rate.config.name None
learning_rate.registered_name None
beta_1 0.9
beta_2 0.999
epsilon 1e-08
amsgrad False
training_precision float32

Model Plot

<details> <summary>View Model Plot</summary>

Model Image

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