| # https://lightning.ai/docs/pytorch/stable/api/lightning.pytorch.callbacks.EarlyStopping.html | |
| early_stopping: | |
| _target_: lightning.pytorch.callbacks.EarlyStopping | |
| monitor: ??? # quantity to be monitored, must be specified !!! | |
| min_delta: 0. # minimum change in the monitored quantity to qualify as an improvement | |
| patience: 3 # number of checks with no improvement after which training will be stopped | |
| verbose: False # verbosity mode | |
| mode: "min" # "max" means higher metric value is better, can be also "min" | |
| strict: True # whether to crash the training if monitor is not found in the validation metrics | |
| check_finite: True # when set True, stops training when the monitor becomes NaN or infinite | |
| stopping_threshold: null # stop training immediately once the monitored quantity reaches this threshold | |
| divergence_threshold: null # stop training as soon as the monitored quantity becomes worse than this threshold | |
| check_on_train_epoch_end: null # whether to run early stopping at the end of the training epoch | |
| # log_rank_zero_only: False # this keyword argument isn't available in stable version | |