readme: ---
  library_name: keras
  ---
  
  ## 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 | AdamWeightDecay |
  | learning_rate.class_name | WarmUp |
  | learning_rate.config.initial_learning_rate | 0.0002 |
  | learning_rate.config.decay_schedule_fn.class_name | PolynomialDecay |
  | learning_rate.config.decay_schedule_fn.config.initial_learning_rate | 0.0002 |
  | learning_rate.config.decay_schedule_fn.config.decay_steps | 22180 |
  | learning_rate.config.decay_schedule_fn.config.end_learning_rate | 0.0 |
  | learning_rate.config.decay_schedule_fn.config.power | 1.0 |
  | learning_rate.config.decay_schedule_fn.config.cycle | False |
  | learning_rate.config.decay_schedule_fn.config.name | None |
  | learning_rate.config.decay_schedule_fn.__passive_serialization__ | True |
  | learning_rate.config.warmup_steps | 2 |
  | learning_rate.config.power | 1.0 |
  | learning_rate.config.name | None |
  | decay | 0.0 |
  | beta_1 | 0.8999999761581421 |
  | beta_2 | 0.9990000128746033 |
  | epsilon | 1e-08 |
  | amsgrad | False |
  | weight_decay_rate | 0.01 |
  | training_precision | float32 |
  
  
   ## Model Plot
  
  <details>
  <summary>View Model Plot</summary>
  
  ![Model Image](./model.png)
  
  </details>