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  1. global:
  2.   data_path: /content/UCMerced_LandUse          # Path to folder containing samples
  3.   number_of_bands: 3                            # Number of bands in input images
  4.   model_name: inception                         # One of unet, unetsmall, checkpointed_unet, ternausnet, or inception
  5.   bucket_name:                                  # name of the S3 bucket where data is stored. Leave blank if using local files
  6.   classify: True                                # Set to True for classification tasks and False for semantic segmentation
  7.   num_classes: 21
  8.   sample_size: 256
  9.  
  10. models:
  11.   inception:
  12.     pretrained: False                           # using local checkpoints only
  13.  
  14. training:
  15.   output_path: /content/output                  # Path to folder where files containing weights will be written
  16.   batch_size: 30                                # Size of each batch
  17.   num_epochs: 15                                # Number of epochs
  18.   learning_rate: 0.001                          # Initial learning rate
  19.   weight_decay: 0                               # Value for weight decay (each epoch)
  20.   gamma: 0.1                                    # Multiple for learning rate decay
  21.   step_size: 7                                  # Apply gamma every step_size
  22.   class_weights: []                             # Weights to apply to each class. A value > 1.0 will apply more weights to the learning of the class.
  23.   num_trn_samples: 1680
  24.   num_val_samples: 420
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