training/Resources/Student_Train/train.yaml

device: 'cuda'

data:
  train_dataset: "/home/tumor/LungTumorSegmentation/Resources/Student_Train/data.yaml"
  aug_prob: 0.1
  scale_dim:
    d_0: 256
    d_1: 256
    d_2: 128

model:
  architecture: UNet4
  loss: DiceLoss
  weights: 
  filter_base: 32
  filter_expansion: 2
  optimizer:
    name: 'Adam'
    lr: 0.000025

train:
  max_epochs: 500
  val_frequency: 1
  output_threshold: 0.5
  metric_path: "/home/tumor/out/metric.csv"
  save_frequency: 50
  model_directory: "/home/tumor/out/models/"
  steps_per_plot: 10