| - _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 | |