diff --git a/ppocr/metrics/__init__.py b/ppocr/metrics/__init__.py
index 41828f510aacab9bdddde38f7a6c1e22a1c29b61..a0e7d91207277d5c1696d99473f6bc5f685591fc 100644
--- a/ppocr/metrics/__init__.py
+++ b/ppocr/metrics/__init__.py
@@ -26,7 +26,6 @@ def build_metric(config):
     from .det_metric import DetMetric
     from .rec_metric import RecMetric
     from .cls_metric import ClsMetric
-    from .rec_metric import RecMetric
 
     support_dict = ['DetMetric', 'RecMetric', 'ClsMetric']
 
diff --git a/tools/program.py b/tools/program.py
index ce52a61049268cb8255498606f62c46dca40a961..08bc4c81a22c09161304f28d98d7a0ccb849b15b 100755
--- a/tools/program.py
+++ b/tools/program.py
@@ -179,9 +179,9 @@ def train(config,
     if 'start_epoch' in best_model_dict:
         start_epoch = best_model_dict['start_epoch']
     else:
-        start_epoch = 0
+        start_epoch = 1
 
-    for epoch in range(start_epoch, epoch_num):
+    for epoch in range(start_epoch, epoch_num + 1):
         if epoch > 0:
             train_dataloader = build_dataloader(config, 'Train', device, logger)
         train_batch_cost = 0.0
@@ -216,7 +216,6 @@ def train(config,
             stats['lr'] = lr
             train_stats.update(stats)
 
-            #cal_metric_during_train = False
             if cal_metric_during_train:  # onlt rec and cls need
                 batch = [item.numpy() for item in batch]
                 post_result = post_process_class(preds, batch[1])