diff --git a/modules/deeplearning/icing_fcn.py b/modules/deeplearning/icing_fcn.py
index 508c88ecf9a6d9f4d348e30d38d1ee77fdd9593c..3cffe4751abb1148bc2f9355cfa7cbfd6266f955 100644
--- a/modules/deeplearning/icing_fcn.py
+++ b/modules/deeplearning/icing_fcn.py
@@ -905,7 +905,7 @@ class IcingIntensityFCN:
 
                         with self.writer_train.as_default():
                             tf.summary.scalar('loss_trn', loss.numpy(), step=step)
-                            tf.summary.scalar('learning_rate', self.optimizer._decayed_lr('float32').numpy(), step=step)
+                            tf.summary.scalar('learning_rate', self.optimizer.lr.numpy(), step=step)
                             tf.summary.scalar('num_train_steps', step, step=step)
                             tf.summary.scalar('num_epochs', epoch, step=step)
 
@@ -936,7 +936,7 @@ class IcingIntensityFCN:
                             tf.summary.scalar('loss_val', self.test_loss.result(), step=step)
 
                         print('****** test loss, acc, lr: ', self.test_loss.result().numpy(), self.test_accuracy.result().numpy(),
-                              self.optimizer._decayed_lr('float32').numpy())
+                              self.optimizer.lr.numpy())
 
                     step += 1
                     print('train loss: ', loss.numpy())