- _target_: pdeinvbench.lightning_modules.logging_callbacks.PDEParamErrorPlottingCallback # stratify error by PDE parameter
- _target_: lightning.pytorch.callbacks.ModelCheckpoint # save model checkpoints
  monitor: validation/loss
  mode: min
  save_last: True
  save_top_k: 1
- _target_: lightning.pytorch.callbacks.LearningRateMonitor # log learning rate
  logging_interval: epoch
- _target_: pdeinvbench.lightning_modules.logging_callbacks.InverseErrorByTailoringStepCallback # log error by tailoring step
- _target_: pdeinvbench.lightning_modules.logging_callbacks.PDEParamErrorTestTimeTailoringCallback