diff --git a/embedding_converter/src/training.py b/embedding_converter/src/training.py
index 93e3ac2..14358fa 100644
--- a/embedding_converter/src/training.py
+++ b/embedding_converter/src/training.py
@@ -79,9 +79,9 @@ def create_loaders(dataset : Dataset[Tensor]) -> Tuple[DataLoader[Tensor], DataL
 
 
 def split_dataset(dataset : Dataset[Tensor]) -> Tuple[Dataset[Tensor], Dataset[Tensor]]:
-	loader_split_ratio = CONFIG.getfloat('training.loader', 'split_ratio')
+	split_ratio = CONFIG.getfloat('training.loader', 'split_ratio')
 	dataset_size = len(dataset) # type:ignore[arg-type]
-	training_size = int(dataset_size * loader_split_ratio)
+	training_size = int(dataset_size * split_ratio)
 	validation_size = int(dataset_size - training_size)
 	training_dataset, validate_dataset = random_split(dataset, [ training_size, validation_size ])
 	return training_dataset, validate_dataset
diff --git a/face_swapper/src/training.py b/face_swapper/src/training.py
index f3b132a..e71d909 100644
--- a/face_swapper/src/training.py
+++ b/face_swapper/src/training.py
@@ -128,9 +128,9 @@ def create_loaders(dataset : Dataset[Tensor]) -> Tuple[DataLoader[Tensor], DataL
 
 
 def split_dataset(dataset : Dataset[Tensor]) -> Tuple[Dataset[Tensor], Dataset[Tensor]]:
-	loader_split_ratio = CONFIG.getfloat('training.loader', 'split_ratio')
+	split_ratio = CONFIG.getfloat('training.loader', 'split_ratio')
 	dataset_size = len(dataset) # type:ignore[arg-type]
-	training_size = int(dataset_size * loader_split_ratio)
+	training_size = int(dataset_size * split_ratio)
 	validation_size = int(dataset_size - training_size)
 	training_dataset, validate_dataset = random_split(dataset, [ training_size, validation_size ])
 	return training_dataset, validate_dataset