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': 'RMSprop', 'learning_rate': 0.001, 'decay': 0.0, 'rho': 0.9, 'momentum': 0.0, 'epsilon': 1e-07, 'centered': False}
  - training_precision: float32
  
   ## Training Metrics
  
  | Epochs | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy |
   |--- |--- |--- |--- |--- |
  | 1| 2.157|  0.289|  1.828|  0.371| 
  | 2| 1.795|  0.388|  1.746|  0.409| 
  | 3| 1.639|  0.436|  1.597|  0.43| 
  | 4| 1.523|  0.471|  1.54|  0.463| 
  | 5| 1.427|  0.503|  1.485|  0.479| 
   ## Model Plot
  
  <details>
  <summary>View Model Plot</summary>
  
  ![Model Image](./model.png)
  
  </details>