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:
  - optimizer: {'name': 'Adam', 'learning_rate': 0.001, '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| 0.265| 
  | 2| 0.264| 
  | 3| 0.263| 
  | 4| 0.261| 
  | 5| 0.26| 
  | 6| 0.259| 
  | 7| 0.257| 
  | 8| 0.256| 
  | 9| 0.255| 
  | 10| 0.254| 
   ## Model Plot
  
  <details>
  <summary>View Model Plot</summary>
  
  ![Model Image](./model.png)
  
  </details>