diff --git a/model_training/ce-clm_training/cen_training/readme.txt b/model_training/ce-clm_training/cen_training/readme.txt
index 4dad241b..e1333af9 100644
--- a/model_training/ce-clm_training/cen_training/readme.txt
+++ b/model_training/ce-clm_training/cen_training/readme.txt
@@ -2,14 +2,18 @@ The code in this folder trains CEN patch experts for use with the CE-CLM
 landmark detector. First generate the patches for training, using the code
 in ../patch_generation.
 
-Each patch expert is trained for a single scale, view and landmark.
+Then run the training code via train_cen.py. Each patch expert is trained for a single scale, view and landmark.
+
 
 python train_cen.py (location of patches) (model to train) (scale to train) (view to train) (landmark to train) (minibatch size) (folder to save models to) (menpo or general/300W patches)
 
+
 other options:
 --num_epochs : number of epochs to train (default 50)
 --outfile : file to save training history to (default acc.txt)
 --acc_file : file to load training history from to resume (set this flag in order to resume training)
 
+
 e.g.
 python train_cen.py menpo_data/ arch6 0.35 profile3 5 256 model_saves menpo --num_epochs 100 --outfile menpo_acc_120.txt --acc_file menpo_acc_20.txt
+