diff --git a/muse_maskgit_pytorch/trainers/maskgit_trainer.py b/muse_maskgit_pytorch/trainers/maskgit_trainer.py
index 21dca82..eb60094 100644
--- a/muse_maskgit_pytorch/trainers/maskgit_trainer.py
+++ b/muse_maskgit_pytorch/trainers/maskgit_trainer.py
@@ -69,6 +69,7 @@ def __init__(
         validation_image_scale=1,
         only_save_last_checkpoint=False,
         optimizer="Lion",
+        weight_decay=0.0,
     ):
         super().__init__(
             dataloader,
@@ -103,11 +104,11 @@ def __init__(
 
         # optimizers
         if optimizer == "Adam":
-            self.optim = Adam(transformer_parameters, lr=lr)
+            self.optim = Adam(transformer_parameters, lr=lr, weight_decay=weight_decay)
         elif optimizer == "AdamW":
-            self.optim = Adam(transformer_parameters, lr=lr)
+            self.optim = AdamW(transformer_parameters, lr=lr, weight_decay=weight_decay)
         elif optimizer == "Lion":
-            self.optim = Lion(transformer_parameters, lr=lr)
+            self.optim = Lion(transformer_parameters, lr=lr, weight_decay=weight_decay)
         else:
             print(f"{optimizer} optimizer not supported yet.")
 
diff --git a/muse_maskgit_pytorch/trainers/vqvae_trainers.py b/muse_maskgit_pytorch/trainers/vqvae_trainers.py
index b2dfc26..6cc681d 100644
--- a/muse_maskgit_pytorch/trainers/vqvae_trainers.py
+++ b/muse_maskgit_pytorch/trainers/vqvae_trainers.py
@@ -72,7 +72,8 @@ def __init__(
         clear_previous_experiments=False,
         validation_image_scale=1,
         only_save_last_checkpoint=False,
-        optimizer="Adam",
+        optimizer='Adam',
+        weight_decay=0.0,
     ):
         super().__init__(
             dataloader,
@@ -100,15 +101,15 @@ def __init__(
         vae_parameters = all_parameters - discr_parameters
 
         # optimizers
-        if optimizer == "Adam":
-            self.optim = Adam(vae_parameters, lr=lr)
-            self.discr_optim = Adam(discr_parameters, lr=lr)
-        elif optimizer == "AdamW":
-            self.optim = AdamW(vae_parameters, lr=lr)
-            self.discr_optim = AdamW(discr_parameters, lr=lr)
-        elif optimizer == "Lion":
-            self.optim = Lion(vae_parameters, lr=lr)
-            self.discr_optim = Lion(discr_parameters, lr=lr)
+        if optimizer == 'Adam':
+            self.optim = Adam(vae_parameters, lr=lr, weight_decay=weight_decay)
+            self.discr_optim = Adam(discr_parameters, lr=lr, weight_decay=weight_decay)
+        elif optimizer == 'AdamW':
+                self.optim = AdamW(vae_parameters, lr=lr, weight_decay=weight_decay)
+                self.discr_optim = AdamW(discr_parameters, lr=lr)            
+        elif optimizer == 'Lion':
+            self.optim = Lion(vae_parameters, lr=lr, weight_decay=weight_decay)
+            self.discr_optim = Lion(discr_parameters, lr=lr, weight_decay=weight_decay)
         else:
             print(f"{optimizer} optimizer not supported yet.")
 
diff --git a/train_muse_maskgit.py b/train_muse_maskgit.py
index ac96b2a..5bd488a 100644
--- a/train_muse_maskgit.py
+++ b/train_muse_maskgit.py
@@ -249,6 +249,10 @@ def parse_args():
         default="Lion",
         help="Optimizer to use. Choose between: ['Adam', 'AdamW','Lion']. Default: Lion",
     )
+    parser.add_argument("--weight_decay", type=float,
+                        default=0.0,
+                        help="Optimizer weight_decay to use. Default: 0.0",
+                        )      
     # Parse the argument
     return parser.parse_args()
 
@@ -379,6 +383,7 @@ def main():
         validation_image_scale=args.validation_image_scale,
         only_save_last_checkpoint=args.only_save_last_checkpoint,
         optimizer=args.optimizer,
+        weight_decay=args.weight_decay,
     )
 
     trainer.train()
diff --git a/train_muse_vae.py b/train_muse_vae.py
index cbbe80e..207ee7e 100644
--- a/train_muse_vae.py
+++ b/train_muse_vae.py
@@ -188,13 +188,15 @@ def parse_args():
         default=None,
         help="Path to the last saved checkpoint. 'results/vae.steps.pt'",
     )
-    parser.add_argument(
-        "--optimizer",
-        type=str,
-        default="Lion",
-        help="Optimizer to use. Choose between: ['Adam', 'AdamW','Lion']. Default: Lion",
-    )
-
+    parser.add_argument("--optimizer",type=str,
+        default='Lion',
+        help="Optimizer to use. Choose between: ['Adam', 'AdamW','Lion']. Default: Adam",
+    )    
+    parser.add_argument("--weight_decay", type=float,
+                        default=0.0,
+                        help="Optimizer weight_decay to use. Default: 0.0",
+                        )    
+   
     # Parse the argument
     return parser.parse_args()