From 90661c9eb95ef8f3a20ae6da6610921eef15f409 Mon Sep 17 00:00:00 2001 From: Burhanuddin Rangwala Date: Tue, 14 Sep 2021 21:45:57 +0530 Subject: [PATCH] [docs] updated docs for min_delta parameter in early stopping callback (#9513) --- pytorch_lightning/callbacks/early_stopping.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pytorch_lightning/callbacks/early_stopping.py b/pytorch_lightning/callbacks/early_stopping.py index 04c24059da..14cb673b1f 100644 --- a/pytorch_lightning/callbacks/early_stopping.py +++ b/pytorch_lightning/callbacks/early_stopping.py @@ -39,7 +39,7 @@ class EarlyStopping(Callback): Args: monitor: quantity to be monitored. min_delta: minimum change in the monitored quantity to qualify as an improvement, i.e. an absolute - change of less than `min_delta`, will count as no improvement. + change of less than or equal to `min_delta`, will count as no improvement. patience: number of checks with no improvement after which training will be stopped. Under the default configuration, one check happens after every training epoch. However, the frequency of validation can be modified by setting various parameters on