fix log_interval and lr when resume training, test=asr

paddlespeech/s2t/training/trainer.py

@@ -289,6 +289,7 @@ class Trainer():
                                                              float) else f"{v}"
                             msg += ","
                         msg = msg[:-1]  # remove the last ","
+                        if (batch_index + 1) % self.config.log_interval == 0:
                             logger.info(msg)
                         data_start_time = time.time()
                 except Exception as e:
@@ -316,10 +317,10 @@ class Trainer():
                 self.visualizer.add_scalar(
                     tag='eval/lr', value=self.lr_scheduler(), step=self.epoch)
 
-            # after epoch
-            self.save(tag=self.epoch, infos={'val_loss': cv_loss})
             # step lr every epoch
             self.lr_scheduler.step()
+            # after epoch
+            self.save(tag=self.epoch, infos={'val_loss': cv_loss})
             self.new_epoch()
 
     def run(self):