diff --git a/timm/optim/_optim_factory.py b/timm/optim/_optim_factory.py
index 9e06e1a5..37b5fdc0 100644
--- a/timm/optim/_optim_factory.py
+++ b/timm/optim/_optim_factory.py
@@ -345,7 +345,7 @@ def _register_sgd_variants(registry: OptimizerRegistry) -> None:
         OptimInfo(
             name='sgd',
             opt_class=optim.SGD,
-            description='Stochastic Gradient Descent with Nesterov momentum (default)',
+            description='torch.Optim Stochastic Gradient Descent (SGD) with Nesterov momentum',
             has_eps=False,
             has_momentum=True,
             defaults={'nesterov': True}
@@ -353,7 +353,7 @@ def _register_sgd_variants(registry: OptimizerRegistry) -> None:
         OptimInfo(
             name='momentum',
             opt_class=optim.SGD,
-            description='Stochastic Gradient Descent with classical momentum',
+            description='torch.Optim Stochastic Gradient Descent (SGD) with classical momentum',
             has_eps=False,
             has_momentum=True,
             defaults={'nesterov': False}
@@ -798,7 +798,7 @@ def get_optimizer_info(name: str) -> OptimInfo:
 
 def get_optimizer_class(
         name: str,
-        bind_defaults: bool = False,
+        bind_defaults: bool = True,
 ) -> Union[Type[optim.Optimizer], OptimizerCallable]:
     """Get optimizer class by name with option to bind default arguments.
 
@@ -821,17 +821,14 @@ def get_optimizer_class(
         ValueError: If optimizer name is not found in registry
 
     Examples:
-        >>> # Get raw optimizer class
-        >>> Adam = get_optimizer_class('adam')
-        >>> opt = Adam(model.parameters(), lr=1e-3)
-
-        >>> # Get optimizer with defaults bound
-        >>> AdamWithDefaults = get_optimizer_class('adam', bind_defaults=True)
-        >>> opt = AdamWithDefaults(model.parameters(), lr=1e-3)
-
         >>> # Get SGD with nesterov momentum default
-        >>> SGD = get_optimizer_class('sgd', bind_defaults=True)  # nesterov=True bound
+        >>> SGD = get_optimizer_class('sgd')  # nesterov=True bound
         >>> opt = SGD(model.parameters(), lr=0.1, momentum=0.9)
+
+        >>> # Get raw optimizer class
+        >>> SGD = get_optimizer_class('sgd')
+        >>> opt = SGD(model.parameters(), lr=1e-3, momentum=0.9)
+
     """
     return default_registry.get_optimizer_class(name, bind_defaults=bind_defaults)