diff --git a/model/pytorch/dcrnn_supervisor.py b/model/pytorch/dcrnn_supervisor.py
index c92dad3..a44e30d 100644
--- a/model/pytorch/dcrnn_supervisor.py
+++ b/model/pytorch/dcrnn_supervisor.py
@@ -161,7 +161,7 @@ class DCRNNSupervisor:
             val_loss = self.evaluate(dataset='val')
             end_time = time.time()
             if epoch_num % log_every == 0:
-                message = 'Epoch [{}/{}] ({}) train_mae: {:.4f}, val_mae: {:.4f}, lr: {:.6f}' \
+                message = 'Epoch [{}/{}] ({}) train_mae: {:.4f}, val_mae: {:.4f}, lr: {:.6f}, ' \
                           '{:.1f}s'.format(epoch_num, epochs, batches_seen,
                                            np.mean(losses), val_loss, lr_scheduler.get_lr()[0],
                                            (end_time - start_time))
@@ -177,12 +177,13 @@ class DCRNNSupervisor:
 
             if val_loss < min_val_loss:
                 wait = 0
-                min_val_loss = val_loss
                 if save_model:
                     model_file_name = self.save_model(epoch_num)
                     self._logger.info(
                         'Val loss decrease from {:.4f} to {:.4f}, '
                         'saving to {}'.format(min_val_loss, val_loss, model_file_name))
+                min_val_loss = val_loss
+
             elif val_loss >= min_val_loss:
                 wait += 1
                 if wait == patience: