diff --git a/kospeech/trainer/supervised_trainer.py b/kospeech/trainer/supervised_trainer.py
index 78d99a2c..faf4ab5a 100644
--- a/kospeech/trainer/supervised_trainer.py
+++ b/kospeech/trainer/supervised_trainer.py
@@ -274,27 +274,44 @@ def _train_epoches(
                 train_elapsed = (current_time - train_begin_time) / 3600.0
 
                 if self.architecture in ('rnnt', 'conformer'):
-                    logger.info(self.log_format.format(
-                        timestep, epoch_time_step, loss,
-                        elapsed, epoch_elapsed, train_elapsed,
-                        self.optimizer.get_lr(),
-                    ))
+                    if isinstance(model, nn.DataParallel):
+                        if model.module.decoder is not None:
+                            logger.info(self.rnnt_log_format.format(
+                                timestep, epoch_time_step, loss,
+                                elapsed, epoch_elapsed, train_elapsed,
+                                self.optimizer.get_lr(),
+                            ))
+                        else:
+                            logger.info(self.log_format.format(
+                                timestep, epoch_time_step, loss,
+                                cer, elapsed, epoch_elapsed, train_elapsed,
+                                self.optimizer.get_lr(),
+                            ))
+                    else:
+                        if model.module.decoder is not None:
+                            logger.info(self.rnnt_log_format.format(
+                                timestep, epoch_time_step, loss,
+                                elapsed, epoch_elapsed, train_elapsed,
+                                self.optimizer.get_lr(),
+                            ))
+                        else:
+                            logger.info(self.log_format.format(
+                                timestep, epoch_time_step, loss,
+                                cer, elapsed, epoch_elapsed, train_elapsed,
+                                self.optimizer.get_lr(),
+                            ))
                 else:
                     if self.joint_ctc_attention:
                         logger.info(self.log_format.format(
-                            timestep, epoch_time_step,
-                            loss,
-                            ctc_loss, cross_entropy_loss,
-                            cer,
+                            timestep, epoch_time_step, loss,
+                            ctc_loss, cross_entropy_loss, cer,
                             elapsed, epoch_elapsed, train_elapsed,
                             self.optimizer.get_lr(),
                         ))
                     else:
                         logger.info(self.log_format.format(
-                            timestep, epoch_time_step,
-                            loss,
-                            cer,
-                            elapsed, epoch_elapsed, train_elapsed,
+                            timestep, epoch_time_step, loss,
+                            cer, elapsed, epoch_elapsed, train_elapsed,
                             self.optimizer.get_lr(),
                         ))
                 begin_time = time.time()
@@ -462,7 +479,7 @@ def _save_result(self, target_list: list, predict_list: list) -> None:
         
         results = pd.DataFrame(results)
         results.to_csv(save_path, index=False, encoding='cp949')
-    
+
     def _save_epoch_result(self, train_result: list, valid_result: list) -> None:
         """ Save result of epoch """
         train_dict, train_loss, train_cer = train_result