diff --git a/README.md b/README.md
index 41eece8..7c7b700 100644
--- a/README.md
+++ b/README.md
@@ -3,11 +3,12 @@
 The code for our newly accepted paper in Pattern Recognition 2020:
 ## U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection, [Xuebin Qin](https://webdocs.cs.ualberta.ca/~xuebin/), [Zichen Zhang](https://webdocs.cs.ualberta.ca/~zichen2/), [Chenyang Huang](https://chenyangh.com/), [Masood Dehghan](https://sites.google.com/view/masooddehghan), [Osmar R. Zaiane](http://webdocs.cs.ualberta.ca/~zaiane/) and [Martin Jagersand](https://webdocs.cs.ualberta.ca/~jag/).
 
+__Contact__: xuebin[at]ualberta[dot]ca
+
 ## U^2-Net Results (173.6 MB)
 
 ![U^2-Net Results](figures/u2netqual.png)
 
-__Contact__: xuebin[at]ualberta[dot]ca
 
 ## Our previous work: [BASNet (CVPR 2019)](https://github.com/NathanUA/BASNet)
 
diff --git a/u2net_train.py b/u2net_train.py
index eef3667..43d35a9 100644
--- a/u2net_train.py
+++ b/u2net_train.py
@@ -111,7 +111,7 @@ ite_num = 0
 running_loss = 0.0
 running_tar_loss = 0.0
 ite_num4val = 0
-save_frq = 10 # save the model every 2000 iterations
+save_frq = 2000 # save the model every 2000 iterations
 
 for epoch in range(0, epoch_num):
     net.train()