Trainer:
  Model:
    classpath: UNetPlusPlus.yml
    UNetPlusPlus:
      outputs_criterions:
        Tanh:
          targets_criterions:
            CT:
              criterions_loader:
                MAE:
                  is_loss: true
                  schedulers: {Constant: {nb_step: 0, value: 1}}
                  group: 0
                  start: 0
                  stop: None
                  accumulation: false
                  reduction: mean
                SAM_Perceptual:
                  is_loss: true
                  schedulers: {Constant: {nb_step: 0, value: 1}}
                  group: 0
                  start: 0
                  stop: None
                  accumulation: false
                  train: true
                  model_name: SAM2.1_Small.pt
                  weights: [1, 1, 1]
                torch:nn:L1Loss:
                  size_average: None
                  reduce: None
                  reduction: mean
                  schedulers: {Constant: {nb_step: 0, value: 1}}
                  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
      optimizer:
        name: AdamW
        lr: 0.001
        betas: [0.9, 0.999]
        eps: 1e-08
        weight_decay: 0.001
        amsgrad: false
        maximize: false
        foreach: None
        capturable: false
        differentiable: false
        fused: None
      schedulers:
        StepLR:
          step_size: 10
          gamma: 0.75
          last_epoch: -1
          verbose: deprecated
          nb_step: 0
  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
      CBCT_IMPACT:
        groups_dest:
          CBCT:
            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
  - CBCT/IMAGES/5
  - Tanh/IMAGES/5
  save_checkpoint_mode: ALL
  EarlyStopping:
    monitor: []
    patience: 30
    min_delta: 0.0
    mode: min