diff --git a/docs/source/transforms.rst b/docs/source/transforms.rst
index fbda5932735..ed7436fa0d1 100644
--- a/docs/source/transforms.rst
+++ b/docs/source/transforms.rst
@@ -16,7 +16,7 @@ random transformations applied on the batch of Tensor Images identically transfo
 
 
 Scriptable transforms
-^^^^^^^^^^^^^^^^^^^^^
+---------------------
 
 In order to script the transformations, please use ``torch.nn.Sequential`` instead of :class:`Compose`.
 
@@ -33,6 +33,8 @@ Make sure to use only scriptable transformations, i.e. that work with ``torch.Te
 
 For any custom transformations to be used with ``torch.jit.script``, they should be derived from ``torch.nn.Module``.
 
+Compositions of transforms
+--------------------------
 
 .. autoclass:: Compose
 
diff --git a/torchvision/transforms/transforms.py b/torchvision/transforms/transforms.py
index 2a585f98c3f..3bdb108a3b5 100644
--- a/torchvision/transforms/transforms.py
+++ b/torchvision/transforms/transforms.py
@@ -161,11 +161,11 @@ class ToPILImage:
     Args:
         mode (`PIL.Image mode`_): color space and pixel depth of input data (optional).
             If ``mode`` is ``None`` (default) there are some assumptions made about the input data:
-             - If the input has 4 channels, the ``mode`` is assumed to be ``RGBA``.
-             - If the input has 3 channels, the ``mode`` is assumed to be ``RGB``.
-             - If the input has 2 channels, the ``mode`` is assumed to be ``LA``.
-             - If the input has 1 channel, the ``mode`` is determined by the data type (i.e ``int``, ``float``,
-               ``short``).
+            - If the input has 4 channels, the ``mode`` is assumed to be ``RGBA``.
+            - If the input has 3 channels, the ``mode`` is assumed to be ``RGB``.
+            - If the input has 2 channels, the ``mode`` is assumed to be ``LA``.
+            - If the input has 1 channel, the ``mode`` is determined by the data type (i.e ``int``, ``float``,
+            ``short``).
 
     .. _PIL.Image mode: https://pillow.readthedocs.io/en/latest/handbook/concepts.html#concept-modes
     """