Trainer:
  Model:
    classpath: Model:UNetpp
    UNetpp:
      outputs_criterions:
        Head:Tanh:
          targets_criterions:
            CT:
              criterions_loader:
                MAE:
                  schedulers:
                    Constant:
                      nb_step: 0
                      value: 1
                  is_loss: true
                  group: 0
                  start: 0
                  stop: None
                  accumulation: false
                  reduction: mean
                SAM_Perceptual:
                  train: true
                  weights: [0, 1, 1, 0]
                  schedulers:
                    Constant:
                      nb_step: 0
                      value: 0.5
                  is_loss: true
                  group: 0
                  start: 0
                  stop: None
                  accumulation: false
            CT;MASK:
              criterions_loader:
                MAE:
                  schedulers:
                    Constant:
                      nb_step: 0
                      value: 1
                  is_loss: false
                  group: 0
                  start: 0
                  stop: None
                  accumulation: false
                  reduction: mean
      schedulers:
        PolyLRScheduler:
          initial_lr: 0.01
          max_steps: 500
          exponent: 0.9
          current_step: 0
          nb_step: 0
      Patch: None
      optimizer:
        name: SGD
        lr: 0.01
        momentum: 0.99
        dampening: 0
        weight_decay: 3e-05
        nesterov: true
        maximize: false
        foreach: None
        differentiable: false
        fused: None
      nb_channel: 5
  Dataset:
    groups_src:
      MASK:
        groups_dest:
          MASK:
            transforms: None
            patch_transforms: None
            is_input: false
      CT:
        groups_dest:
          CT:
            transforms:
              Clip:
                min_value: -1024
                max_value: 3071
                save_clip_min: true
                save_clip_max: true
                mask: None
              Statistics: {}
              Normalize:
                lazy: true
                channels: None
                min_value: -1
                max_value: 1
                inverse: false
            patch_transforms:
              Normalize:
                lazy: false
                channels: None
                min_value: -1
                max_value: 1
                inverse: false
            is_input: false
      MR_IMPACT:
        groups_dest:
          MR:
            transforms:
              Clip:
                min_value: min
                max_value: percentile:99.5
                save_clip_min: false
                save_clip_max: false
                mask: None
              Statistics: {}
              Normalize:
                lazy: true
                channels: None
                min_value: -1
                max_value: 1
                inverse: false
            patch_transforms:
              Normalize:
                lazy: false
                channels: None
                min_value: -1
                max_value: 1
                inverse: false
            is_input: true
    augmentations:
      DataAugmentation_0:
        data_augmentations:
          Flip:
            f_prob:
            - 0
            - 0.5
            - 0.5
            prob: 1
        nb: 1
    Patch:
      patch_size:
      - 1
      - 320
      - 320
      overlap: None
      mask: None
      pad_value: -1
      extend_slice: 4
    subset: None
    shuffle: true
    filter: None
    dataset_filenames:
    - ./Dataset/:a:mha
    inline_augmentations: true
    use_cache: true
    batch_size: 32
    validation: None
  train_name: FT_0
  manual_seed: 32
  epochs: 100
  it_validation: 2500
  autocast: false
  gradient_checkpoints: None
  gpu_checkpoints: None
  ema_decay: 0
  data_log:
  - CT/IMAGES/5
  - MR/IMAGES/5
  - Head:Tanh/IMAGES/5
  save_checkpoint_mode: ALL
  EarlyStopping:
    monitor: []
    patience: 30
    min_delta: 0.0
    mode: min