diff --git a/examples/opacus/README.md b/examples/opacus/README.md
index 2d5d04a56a15..c1161698d71f 100644
--- a/examples/opacus/README.md
+++ b/examples/opacus/README.md
@@ -35,9 +35,6 @@ opacus
 └── README.md
 ```
 
-> \[!NOTE\]
-> Please note that, at the current state, users cannot set `NodeConfig` for simulated `ClientApp`s. For this reason, the hyperparameter `noise_multiplier` is set in the `client_fn` method based on a condition check on `partition_id`. This will be modified in a future version of Flower to allow users to set `NodeConfig` for simulated `ClientApp`s.
-
 ### Install dependencies and project
 
 Install the dependencies defined in `pyproject.toml` as well as the `opacus` package.
@@ -60,5 +57,8 @@ flwr run .
 You can also override some of the settings for your `ClientApp` and `ServerApp` defined in `pyproject.toml`. For example:
 
 ```bash
-flwr run . --run-config "num-server-rounds=5"
+flwr run . --run-config "max-grad-norm=1.0 num-server-rounds=5"
 ```
+
+> \[!NOTE\]
+> Please note that, at the current state, users cannot set `NodeConfig` for simulated `ClientApp`s. For this reason, the hyperparameter `noise_multiplier` is set in the `client_fn` method based on a condition check on `partition_id`. This will be modified in a future version of Flower to allow users to set `NodeConfig` for simulated `ClientApp`s.
diff --git a/examples/opacus/opacus-fl/client_app.py b/examples/opacus/opacus-fl/client_app.py
index 6c1850ebc6e5..ef93b54be03c 100644
--- a/examples/opacus/opacus-fl/client_app.py
+++ b/examples/opacus/opacus-fl/client_app.py
@@ -8,7 +8,6 @@
 from .task import train, test, Net, load_data, get_weights, set_weights
 from flwr.common import Context
 
-
 warnings.filterwarnings("ignore", category=UserWarning)
 
 
diff --git a/examples/opacus/opacus-fl/task.py b/examples/opacus/opacus-fl/task.py
index 1d068dbfe45a..dd26f8e323ec 100644
--- a/examples/opacus/opacus-fl/task.py
+++ b/examples/opacus/opacus-fl/task.py
@@ -15,8 +15,6 @@
 
 
 class Net(nn.Module):
-    """Model (simple CNN adapted from 'PyTorch: A 60 Minute Blitz')"""
-
     def __init__(self):
         super(Net, self).__init__()
         self.conv1 = nn.Conv2d(3, 6, 5)