diff --git a/train.py b/train.py
index 410279b..e943379 100644
--- a/train.py
+++ b/train.py
@@ -15,6 +15,7 @@ from tqdm import tqdm
 from model import DeepJSCC, ratio2filtersize
 from torch.nn.parallel import DataParallel
 from utils import image_normalization
+from fractions import Fraction
 
 
 def config_parser():
@@ -29,7 +30,8 @@ def config_parser():
                         choices=['AWGN', 'Rayleigh'], help='channel type')
     parser.add_argument('--saved', default='./saved', type=str, help='saved_path')
     parser.add_argument('--snr_list', default=list(range(1, 19, 3)), nargs='+', help='snr_list')
-    parser.add_argument('--ratio_list', default=[1/3, 1/6, 1/12], nargs='+', help='ratio_list')
+    parser.add_argument('--ratio_list', default=['1/3',
+                        '1/6', '1/12'], nargs='+', help='ratio_list')
     parser.add_argument('--num_workers', default=0, type=int, help='num_workers')
     parser.add_argument('--dataset', default='cifar10', type=str,
                         choices=['cifar10', 'imagenet'], help='dataset')
@@ -41,7 +43,8 @@ def config_parser():
 
 def main():
     args = config_parser()
-
+    args.snr_list = list(map(float, args.snr_list))
+    args.ratio_list = list(map(lambda x: float(Fraction(x)), args.ratio_list))
     print("Training Start")
     for ratio in args.ratio_list:
         for snr in args.snr_list: