diff --git a/docs/source/main_classes/trainer.rst b/docs/source/main_classes/trainer.rst
index 10a7a9d54aa3bf..aae325076cec8a 100644
--- a/docs/source/main_classes/trainer.rst
+++ b/docs/source/main_classes/trainer.rst
@@ -355,9 +355,9 @@ Notes:
   able to use significantly larger batch sizes using the same hardware (e.g. 3x and even bigger) which should lead to
   significantly shorter training time.
 
-3. To use the second version of Sharded data-parallelism, add ``--sharded_ddp zero_dp_2`` or ``--sharded_ddp zero_dp_3`
-   to the command line arguments, and make sure you have added the distributed launcher ``-m torch.distributed.launch
-   --nproc_per_node=NUMBER_OF_GPUS_YOU_HAVE`` if you haven't been using it already.
+3. To use the second version of Sharded data-parallelism, add ``--sharded_ddp zero_dp_2`` or ``--sharded_ddp
+   zero_dp_3`` to the command line arguments, and make sure you have added the distributed launcher ``-m
+   torch.distributed.launch --nproc_per_node=NUMBER_OF_GPUS_YOU_HAVE`` if you haven't been using it already.
 
 For example here is how you could use it for ``run_translation.py`` with 2 GPUs: