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