diff --git a/configs/det/det_r50_vd_sast_totaltext.yml b/configs/det/det_r50_vd_sast_totaltext.yml
index 257ecf24..a92f1b6e 100755
--- a/configs/det/det_r50_vd_sast_totaltext.yml
+++ b/configs/det/det_r50_vd_sast_totaltext.yml
@@ -60,7 +60,8 @@ Metric:
 Train:
   dataset:
     name: SimpleDataSet
-    label_file_path: [./train_data/art_latin_icdar_14pt/train_no_tt_test/train_label_json.txt, ./train_data/total_text_icdar_14pt/train_label_json.txt]
+    data_dir: ./train_data/
+    label_file_list: [./train_data/art_latin_icdar_14pt/train_no_tt_test/train_label_json.txt, ./train_data/total_text_icdar_14pt/train_label_json.txt]
     data_ratio_list: [0.5, 0.5]
     transforms:
       - DecodeImage: # load image
diff --git a/ppocr/utils/save_load.py b/ppocr/utils/save_load.py
index af2de054..02814d62 100644
--- a/ppocr/utils/save_load.py
+++ b/ppocr/utils/save_load.py
@@ -102,7 +102,6 @@ def init_model(config, model, logger, optimizer=None, lr_scheduler=None):
             best_model_dict = states_dict.get('best_model_dict', {})
             if 'epoch' in states_dict:
                 best_model_dict['start_epoch'] = states_dict['epoch'] + 1
-            best_model_dict['start_epoch'] = best_model_dict['best_epoch'] + 1
 
         logger.info("resume from {}".format(checkpoints))
     elif pretrained_model: