diff --git a/src/art/__init__.py b/src/art/__init__.py
index 01ccb231..3a8e048b 100644
--- a/src/art/__init__.py
+++ b/src/art/__init__.py
@@ -54,7 +54,6 @@ def __init__(self, **kwargs):
 from .backend import Backend
 from .batches import trajectory_group_batches
 from .gather import gather_trajectories, gather_trajectory_groups
-from .local import LocalBackend
 from .model import Model, TrainableModel
 from .serverless import ServerlessBackend
 from .trajectories import Trajectory, TrajectoryGroup
diff --git a/src/art/utils/benchmarking/log_constant_metrics_wandb.py b/src/art/utils/benchmarking/log_constant_metrics_wandb.py
index 3f774601..ada24810 100644
--- a/src/art/utils/benchmarking/log_constant_metrics_wandb.py
+++ b/src/art/utils/benchmarking/log_constant_metrics_wandb.py
@@ -9,7 +9,7 @@ async def log_constant_metrics_wandb(
     model: art.Model,
     num_steps: int,
     split_metrics: dict[str, dict[str, float]],
-    model_name_appendix: str | None = None,
+    logged_run_name: str | None = None,
 ) -> None:
     """
     Log constant metrics to W&B as horizontal lines across all training steps.
@@ -32,7 +32,7 @@ async def log_constant_metrics_wandb(
     """
     run = wandb.init(
         project=model.project,
-        name=model.name + f" {model_name_appendix}" if model_name_appendix else "",
+        name=logged_run_name if logged_run_name else model.name,
         reinit="create_new",
     )