diff --git a/main.py b/main.py
index aa0e85d11cc33071f1e1b1f02f4813654d65e3cc..5e05571caf57f501c760f05915a770cabfbce0f8 100644
--- a/main.py
+++ b/main.py
@@ -26,18 +26,18 @@ def main(args):
     if args.train:
         net.train()
     else:
-        net.show_factorization()
+        net.traverse()
 
 
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(description='toy Beta-VAE')
 
-    parser.add_argument('--train', default=True, type=str2bool, help='train or show_factorization')
+    parser.add_argument('--train', default=True, type=str2bool, help='train or traverse')
     parser.add_argument('--cuda', default=True, type=str2bool, help='enable cuda')
     parser.add_argument('--max_iter', default=1e6, type=int, help='maximum training iteration')
     parser.add_argument('--batch_size', default=64, type=int, help='batch size')
 
-    parser.add_argument('--z_dim', default=10, type=int, help='dimension of the representation z')
+    parser.add_argument('--z_dim', default=32, type=int, help='dimension of the representation z')
     parser.add_argument('--beta', default=6.4, type=float, help='beta parameter for KL-term')
     parser.add_argument('--lr', default=1e-4, type=float, help='learning rate')
     parser.add_argument('--beta1', default=0.5, type=float, help='Adam optimizer beta1')
diff --git a/run_3dchairs.sh b/run_3dchairs.sh
index b56525ec6ecbecd2639de29270332124e3594de8..b22e5b45d9b73a5b1df0228e21cabc25992bd62d 100644
--- a/run_3dchairs.sh
+++ b/run_3dchairs.sh
@@ -1,3 +1,3 @@
-#1 /bin/bash
+#! /bin/bash
 
 python main.py --dataset 3dchairs --beta 5 --lr 1e-4 --z_dim 32 --viz_name beta_vae_3dchairs --viz_port 55558
diff --git a/run_celeba.sh b/run_celeba.sh
index 235926ed5fcac9e5cd2cc1d679319325b9559361..580786d2d4795edbe770ccea980235bc86d9e67f 100644
--- a/run_celeba.sh
+++ b/run_celeba.sh
@@ -1,3 +1,3 @@
-#1 /bin/bash
+#! /bin/bash
 
 python main.py --dataset celeba --beta 250 --lr 1e-4 --z_dim 32 --viz_name beta_vae_celeba --viz_port 55558