diff --git a/train.py b/train.py
index 2bd8b25..636f011 100644
--- a/train.py
+++ b/train.py
@@ -5,7 +5,7 @@
 # Created Date: Monday December 27th 2021
 # Author: Chen Xuanhong
 # Email: chenxuanhongzju@outlook.com
-# Last Modified:  Thursday, 21st April 2022 10:53:51 pm
+# Last Modified:  Thursday, 21st April 2022 10:59:07 pm
 # Modified By: Chen Xuanhong
 # Copyright (c) 2021 Shanghai Jiao Tong University
 #############################################################
@@ -48,10 +48,10 @@ class TrainOptions:
 
         # for displays
         self.parser.add_argument('--tag', type=str, default='simswap')
-        self.parser.add_argument('--use_tensorboard', type=str2bool, default='True')
+        self.parser.add_argument('--use_tensorboard', type=str2bool, default='False')
 
         # for training
-        self.parser.add_argument('--dataset', type=str, default="G:/VGGFace2-HQ/VGGface2_None_norm_512_true_bygfpgan", help='path to the face swapping dataset')
+        self.parser.add_argument('--dataset', type=str, default="/path/to/VGGFace2", help='path to the face swapping dataset')
         self.parser.add_argument('--continue_train', type=bool, default=False, help='continue training: load the latest model')
         self.parser.add_argument('--load_pretrain', type=str, default='checkpoints', help='load the pretrained model from the specified location')
         self.parser.add_argument('--which_epoch', type=str, default='800000', help='which epoch to load? set to latest to use latest cached model')
@@ -70,9 +70,9 @@ class TrainOptions:
 
         self.parser.add_argument("--Arc_path", type=str, default='arcface_model/arcface_checkpoint.tar', help="run ONNX model via TRT")
         self.parser.add_argument("--total_step", type=int, default=1000000, help='total training step')
-        self.parser.add_argument("--log_frep", type=int, default=10, help='frequence for printing log information')
-        self.parser.add_argument("--sample_freq", type=int, default=30, help='frequence for sampling')
-        self.parser.add_argument("--model_freq", type=int, default=40, help='frequence for saving the model')
+        self.parser.add_argument("--log_frep", type=int, default=200, help='frequence for printing log information')
+        self.parser.add_argument("--sample_freq", type=int, default=1000, help='frequence for sampling')
+        self.parser.add_argument("--model_freq", type=int, default=10000, help='frequence for saving the model')