diff --git a/train.py b/train.py
index 2852652df82..5b07f97787a 100644
--- a/train.py
+++ b/train.py
@@ -40,7 +40,13 @@
         iter_data_time = time.time()    # timer for data loading per iteration
         epoch_iter = 0                  # the number of training iterations in current epoch, reset to 0 every epoch
         visualizer.reset()              # reset the visualizer: make sure it saves the results to HTML at least once every epoch
-        model.update_learning_rate()    # update learning rates in the beginning of every epoch.
+
+        # update learning rates in the beginning of every epoch.
+        if epoch != opt.epoch_count:
+            model.update_learning_rate()
+        else:
+            print('learning rate %.7f' % model.optimizers[0].param_groups[0]['lr'])
+        
         for i, data in enumerate(dataset):  # inner loop within one epoch
             iter_start_time = time.time()  # timer for computation per iteration
             if total_iters % opt.print_freq == 0: