diff --git a/README.md b/README.md
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+++ b/README.md
@@ -1,10 +1,8 @@
 # RIFE
 ## [arXiv](https://arxiv.org/pdf/2011.06294.pdf) | [Reddit](https://www.reddit.com/r/MachineLearning/comments/jtl37r/r_realtime_720p_flowbased_video_frame/)
-We will release our training code soon.
 
 **You can easily use [colaboratory](https://colab.research.google.com/github/hzwer/arXiv2020-RIFE/blob/main/Video_2x.ipynb) to have a try.**
 
-
 Our model can run 30+FPS for 2X 720p interpolation on a 2080Ti GPU. We also support CPU device including MacOS system. Currently our method supports multi-frame interpolation between a pair of images and 2X interpolation for video. Everyone is welcome to use this alpha version and make suggestions!
 
 16X interpolation results from two input images: 
@@ -45,6 +43,8 @@ $ python3 inference_mp4_2x.py --video video.mp4
 (generate video_2x.mp4, you can use this script recursively to get 4X, 8X, 16X...)
 ```
 
+We will release our training and benchmark validation code soon.
+
 ## Citation
 
 ```