defaults:
  - orienternet
  - _self_
data:
  loading:
    train:
      batch_size: 6
  random: false
  split: null
model:
  freeze_batch_normalization: true
training:
  trainer:
    overfit_batches: 1
    val_check_interval: 1
    log_every_n_steps: 1
    limit_val_batches: 1