message: Fixes the issue
diff: @@ -1700,7 +1700,7 @@ class EarlyStopping(Callback):
  >>> callback = tf.keras.callbacks.EarlyStopping(monitor='loss', patience=3)
  >>> # This callback will stop the training when there is no improvement in
  - >>> # the validation loss for three consecutive epochs.
  + >>> # the loss for three consecutive epochs.
  >>> model = tf.keras.models.Sequential([tf.keras.layers.Dense(10)])
  >>> model.compile(tf.keras.optimizers.SGD(), loss='mse')
  >>> history = model.fit(np.arange(100).reshape(5, 20), np.zeros(5),
  