training/Resources/Malvik_train_1/config_fullfeature_cropped.yaml

device: 'cuda'

data:
  train_dataset: "/home/tumor/LungTumorSegmentation/Resources/Malvik_train_1/standard.yaml"
  aug_prob: 0.1
  scale_dim:
    d_0: 128
    d_1: 128
    d_2: 128

model:
  architecture: UNet_test
  loss: DiceLoss
  filter_base: 64
  filter_expansion: 2
  optimizer:
    name: 'Adam'
    lr: 0.00001

train:
  max_epochs: 500
  val_frequency: 1
  output_threshold: 0.5
  metric_path: "/home/tumor/out/full_filter.csv"
  save_frequency: 15
  model_directory: "/home/tumor/out/models/"
  batch_size: 10