Update the docstrings to match the actual code defaults

monai/losses/unified_focal_loss.py

@@ -44,7 +44,7 @@ def __init__(
         Args:
             to_onehot_y: whether to convert `y` into the one-hot format. Defaults to False.
             delta : weight of the background. Defaults to 0.7.
-            gamma : value of the exponent gamma in the definition of the Focal loss  . Defaults to 0.75.
+            gamma : value of the exponent gamma in the definition of the Focal loss. Defaults to 0.75.
             epsilon : it defines a very small number each time. similarly smooth value. Defaults to 1e-7.
         """
         super().__init__(reduction=LossReduction(reduction).value)
@@ -108,7 +108,7 @@ def __init__(
         Args:
             to_onehot_y : whether to convert `y` into the one-hot format. Defaults to False.
             delta : weight of the background. Defaults to 0.7.
-            gamma : value of the exponent gamma in the definition of the Focal loss  . Defaults to 0.75.
+            gamma : value of the exponent gamma in the definition of the Focal loss. Defaults to 2.
             epsilon : it defines a very small number each time. similarly smooth value. Defaults to 1e-7.
         """
         super().__init__(reduction=LossReduction(reduction).value)
@@ -167,10 +167,11 @@ def __init__(
         Args:
             to_onehot_y : whether to convert `y` into the one-hot format. Defaults to False.
             num_classes : number of classes, it only supports 2 now. Defaults to 2.
+            weight : weight for each loss function. Defaults to 0.5.
+            gamma : value of the exponent gamma in the definition of the Focal loss. Defaults to 0.5.
             delta : weight of the background. Defaults to 0.7.
-            gamma : value of the exponent gamma in the definition of the Focal loss. Defaults to 0.75.
-            epsilon : it defines a very small number each time. similarly smooth value. Defaults to 1e-7.
-            weight : weight for each loss function, if it's none it's 0.5. Defaults to None.
+
+
 
         Example:
             >>> import torch