Olamide Isreal
a3ffec6a07
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16 lines
1.1 KiB
YAML
16 lines
1.1 KiB
YAML
# https://lightning.ai/docs/pytorch/stable/api/lightning.pytorch.callbacks.EarlyStopping.html
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early_stopping:
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_target_: lightning.pytorch.callbacks.EarlyStopping
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monitor: ??? # quantity to be monitored, must be specified !!!
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min_delta: 0. # minimum change in the monitored quantity to qualify as an improvement
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patience: 3 # number of checks with no improvement after which training will be stopped
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verbose: False # verbosity mode
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mode: "min" # "max" means higher metric value is better, can be also "min"
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strict: True # whether to crash the training if monitor is not found in the validation metrics
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check_finite: True # when set True, stops training when the monitor becomes NaN or infinite
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stopping_threshold: null # stop training immediately once the monitored quantity reaches this threshold
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divergence_threshold: null # stop training as soon as the monitored quantity becomes worse than this threshold
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check_on_train_epoch_end: null # whether to run early stopping at the end of the training epoch
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# log_rank_zero_only: False # this keyword argument isn't available in stable version
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