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
inner_optimizer.module keras.optimizers
inner_optimizer.class_name Adam
inner_optimizer.config.name Adam
inner_optimizer.config.weight_decay None
inner_optimizer.config.clipnorm None
inner_optimizer.config.global_clipnorm None
inner_optimizer.config.clipvalue None
inner_optimizer.config.use_ema False
inner_optimizer.config.ema_momentum 0.99
inner_optimizer.config.ema_overwrite_frequency None
inner_optimizer.config.jit_compile False
inner_optimizer.config.is_legacy_optimizer False
inner_optimizer.config.learning_rate 9.999999747378752e-06
inner_optimizer.config.beta_1 0.9
inner_optimizer.config.beta_2 0.999
inner_optimizer.config.epsilon 1e-07
inner_optimizer.config.amsgrad False
inner_optimizer.registered_name None
dynamic True
initial_scale 32768.0
dynamic_growth_steps 2000
training_precision float32
Downloads last month
0
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and HF Inference API was unable to determine this model’s pipeline type.

Space using konerusudhir/ai-or-not-model 1