diff --git a/src/lightning/pytorch/callbacks/pruning.py b/src/lightning/pytorch/callbacks/pruning.py
index f0e1bcbe49f99..9e646edc3a81d 100644
--- a/src/lightning/pytorch/callbacks/pruning.py
+++ b/src/lightning/pytorch/callbacks/pruning.py
@@ -79,7 +79,7 @@ def __init__(
         verbose: int = 0,
         prune_on_train_epoch_end: bool = True,
     ) -> None:
-        """Model pruning Callback, using PyTorch's prune utilities. This callback is responsible of pruning networks
+        """Model pruning Callback, using PyTorch's prune utilities. This callback is responsible for pruning networks
         parameters during training.
 
         To learn more about pruning with PyTorch, please take a look at
@@ -444,7 +444,7 @@ def on_save_checkpoint(self, trainer: "pl.Trainer", pl_module: LightningModule,
     def sanitize_parameters_to_prune(
         pl_module: LightningModule, parameters_to_prune: _PARAM_LIST = (), parameter_names: Sequence[str] = ()
     ) -> _PARAM_LIST:
-        """This function is responsible of sanitizing ``parameters_to_prune`` and ``parameter_names``. If
+        """This function is responsible for sanitizing ``parameters_to_prune`` and ``parameter_names``. If
         ``parameters_to_prune is None``, it will be generated with all parameters of the model.
 
         Raises: