diff --git a/face_swapper/README.md b/face_swapper/README.md
index d46b69c..098755e 100644
--- a/face_swapper/README.md
+++ b/face_swapper/README.md
@@ -70,7 +70,7 @@ kernel_size = 4
 [training.model.masker]
 input_channels = 67
 output_channels = 1
-base_channels = 16
+num_filters = 16
 ```
 
 ```
diff --git a/face_swapper/src/networks/masknet.py b/face_swapper/src/networks/masknet.py
index 8e5dad5..03b9940 100644
--- a/face_swapper/src/networks/masknet.py
+++ b/face_swapper/src/networks/masknet.py
@@ -52,20 +52,23 @@ class BottleNeck(nn.Module):
 	def __init__(self, num_filters : int):
 		super().__init__()
 		self.layers = self.create_layers(num_filters)
+		self.sequences = nn.Sequential(*self.layers)
 		self.relu = nn.ReLU(inplace = True)
 
-	def create_layers(self, num_filters : int) -> nn.Sequential:
-		return nn.Sequential(
+	@staticmethod
+	def create_layers(num_filters : int) -> nn.ModuleList:
+		return nn.ModuleList(
+		[
 			nn.Conv2d(num_filters, num_filters, kernel_size = 3, padding = 1, bias = False),
 			nn.BatchNorm2d(num_filters),
 			nn.ReLU(inplace = True),
 			nn.Conv2d(num_filters, num_filters, kernel_size = 3, padding = 1, bias = False),
 			nn.BatchNorm2d(num_filters),
 			nn.ReLU(inplace = True)
-		)
+		])
 
 	def forward(self, input_tensor : Tensor) -> Tensor:
-		output_tensor = self.layers(input_tensor) + input_tensor
+		output_tensor = self.sequences(input_tensor) + input_tensor
 		output_tensor = self.relu(output_tensor)
 		return output_tensor