exp_name: GSSN_ALL_Channels_2e_5

# model related
model:
  name: 'GSSN'
  # backbone: 'vanilla'
  backbone: 'SSN_v1'
  in_channels: 6 
  out_channels: 1
  resnet: True

  mid_act: "gelu"
  out_act: "gelu"

  optimizer: 'Adam'
  weight_decay: 4e-5
  beta1: 0.9

  focal: False

# dataset
dataset:
  name: 'GSSN_Dataset'
  hdf5_file: 'Dataset1/more_general_scenes/train/ALL_SIZE_WALL/dataset.hdf5'
  type: 'BC_Boundary'
  rech_grad: True


test_dataset:
  name: 'GSSN_Testing_Dataset'
  hdf5_file: 'Dataset/standalone_test_split/test/ALL_SIZE_MORE/dataset.hdf5'
  type: 'BC_Boundary'
  ignore_shading: True
  rech_grad: True


# training related
hyper_params:
  lr: 2e-5
  epochs: 100000
  workers: 52
  batch_size: 52
  save_epoch: 10

  eval_batch: 10
  eval_save: False

  # visualization
  vis_iter: 100     # iteration for visualization
  save_iter: 100
  n_cols: 5
  gpus:
    - 0
  default_folder: 'weights'
  resume: False
  # resume: True
  weight_file: 'latest'