diff --git a/hyperswap/README.md b/hyperswap/README.md
index ab4b173..538f0b2 100644
--- a/hyperswap/README.md
+++ b/hyperswap/README.md
@@ -29,9 +29,9 @@ This `config.ini` utilizes the VGGFace2 dataset to train the HyperSwap model.
 [training.dataset]
 file_pattern = .datasets/vggface2/**/*.jpg
 convert_template = vggfacehq_512_to_arcface_128
+multiplier = 1
 transform_size = 256
 usage_mode = both
-usage_ratio = 1
 batch_mode = same
 batch_ratio = 0.2
 ```
diff --git a/hyperswap/config.ini b/hyperswap/config.ini
index 965860a..1f979c7 100644
--- a/hyperswap/config.ini
+++ b/hyperswap/config.ini
@@ -1,9 +1,9 @@
 [training.dataset]
 file_pattern =
 convert_template =
+multiplier
 transform_size =
 usage_mode =
-usage_ratio =
 batch_mode =
 batch_ratio =
 
diff --git a/hyperswap/src/training.py b/hyperswap/src/training.py
index 41a952c..0e57faf 100644
--- a/hyperswap/src/training.py
+++ b/hyperswap/src/training.py
@@ -208,7 +208,7 @@ def prepare_datasets(config_parser : ConfigParser) -> List[Dataset[Tensor]]:
 	for config_section in config_parser.sections():
 
 		if config_section.startswith('training.dataset'):
-			config_usage_ratio = config_parser.getint(config_section, 'usage_ratio')
+			config_multiplier = config_parser.getint(config_section, 'multiplier')
 			__config_parser__ = deepcopy(config_parser)
 			__config_parser__.remove_section(config_section)
 			__config_parser__.add_section('training.dataset.current')
@@ -217,7 +217,7 @@ def prepare_datasets(config_parser : ConfigParser) -> List[Dataset[Tensor]]:
 				__config_parser__.set('training.dataset.current', key, value)
 
 			dynamic_dataset = DynamicDataset(__config_parser__)
-			datasets.extend([ dynamic_dataset ] * config_usage_ratio)
+			datasets.extend([ dynamic_dataset ] * config_multiplier)
 
 	return datasets