training/Resources/Idun_Train_2/train_64.yaml

device: 'cuda'

data:
  train_dataset: "/cluster/work/sosevle/LungTumorSegmentation/Resources/Idun_Train_2/data.yaml"
  aug_prob: 0.5
  scale_dim:
    d_0: 176
    d_1: 176
    d_2: 96

model:
  architecture: UNet4
  loss: DiceLoss
  weights: 
  filter_base: 64
  filter_expansion: 2
  optimizer:
    name: 'Adam'
    lr: 0.00012

train:
  max_epochs: 5000
  val_frequency: 1
  output_threshold: 0.5
  metric_path: "/cluster/work/sosevle/metrics/t64.csv"
  save_frequency: 5
  model_directory: "/cluster/work/sosevle/models/64/"
  batch_size: 10