diff --git a/TTS/tts/models/vits.py b/TTS/tts/models/vits.py
index e91d26b9ed..b376f74204 100644
--- a/TTS/tts/models/vits.py
+++ b/TTS/tts/models/vits.py
@@ -1233,7 +1233,7 @@ def train_step(self, batch: dict, criterion: nn.Module, optimizer_idx: int) -> T
         Args:
             batch (Dict): Input tensors.
             criterion (nn.Module): Loss layer designed for the model.
-            optimizer_idx (int): Index of optimizer to use. 0 for the generator and 1 for the discriminator networks.
+            optimizer_idx (int): Index of optimizer to use. 0 for the discriminator and 1 for the generator networks.
 
         Returns:
             Tuple[Dict, Dict]: Model ouputs and computed losses.
@@ -1651,13 +1651,16 @@ def get_data_loader(
 
     def get_optimizer(self) -> List:
         """Initiate and return the GAN optimizers based on the config parameters.
-        It returnes 2 optimizers in a list. First one is for the generator and the second one is for the discriminator.
+
+        It returns 2 optimizers in a list. First one is for the discriminator
+        and the second one is for the generator.
+
         Returns:
             List: optimizers.
         """
-        # select generator parameters
         optimizer0 = get_optimizer(self.config.optimizer, self.config.optimizer_params, self.config.lr_disc, self.disc)
 
+        # select generator parameters
         gen_parameters = chain(params for k, params in self.named_parameters() if not k.startswith("disc."))
         optimizer1 = get_optimizer(
             self.config.optimizer, self.config.optimizer_params, self.config.lr_gen, parameters=gen_parameters