diff --git a/configs/vqa/re/layoutxlm.yml b/configs/vqa/re/layoutxlm.yml
index 29005bfbd4c085cc2514cb9d5eca1825c6dc48a4..ca6b0d29db534eb1189e305d1f033ece24c368b9 100644
--- a/configs/vqa/re/layoutxlm.yml
+++ b/configs/vqa/re/layoutxlm.yml
@@ -1,6 +1,6 @@
 Global:
   use_gpu: True
-  epoch_num: 200
+  epoch_num: &epoch_num 200
   log_smooth_window: 10
   print_batch_step: 10
   save_model_dir: ./output/re_layoutxlm/
@@ -10,6 +10,7 @@ Global:
   cal_metric_during_train: False
   save_inference_dir:
   use_visualdl: False
+  seed: 2022
   infer_img: doc/vqa/input/zh_val_21.jpg
   save_res_path: ./output/re/
 
diff --git a/configs/vqa/ser/layoutlm.yml b/configs/vqa/ser/layoutlm.yml
index 805a3993ffd9f76716755cf7fa2cfc5d440462e5..29cb46885799c061d715def5bcacb068775930d0 100644
--- a/configs/vqa/ser/layoutlm.yml
+++ b/configs/vqa/ser/layoutlm.yml
@@ -10,6 +10,7 @@ Global:
   cal_metric_during_train: False
   save_inference_dir:
   use_visualdl: False
+  seed: 2022
   infer_img: doc/vqa/input/zh_val_0.jpg
   save_res_path: ./output/ser/predicts_layoutlm.txt
 
diff --git a/configs/vqa/ser/layoutxlm.yml b/configs/vqa/ser/layoutxlm.yml
index 54b1899c68a7e7b07fd13d69d49ece302662d00c..eb1cca5a215dd65ef9c302441d05b482f2622a79 100644
--- a/configs/vqa/ser/layoutxlm.yml
+++ b/configs/vqa/ser/layoutxlm.yml
@@ -10,6 +10,7 @@ Global:
   cal_metric_during_train: False
   save_inference_dir:
   use_visualdl: False
+  seed: 2022
   infer_img: doc/vqa/input/zh_val_42.jpg
   save_res_path: ./output/ser
 
diff --git a/ppocr/utils/utility.py b/ppocr/utils/utility.py
index a560deb60c78548fe402833232a5632953075595..76484dfd3d3caaa03731368cf4eace1715121874 100755
--- a/ppocr/utils/utility.py
+++ b/ppocr/utils/utility.py
@@ -16,6 +16,9 @@ import logging
 import os
 import imghdr
 import cv2
+import random
+import numpy as np
+import paddle
 
 
 def print_dict(d, logger, delimiter=0):
@@ -96,3 +99,9 @@ def load_vqa_bio_label_maps(label_map_path):
     label2id_map = {label: idx for idx, label in enumerate(labels)}
     id2label_map = {idx: label for idx, label in enumerate(labels)}
     return label2id_map, id2label_map
+
+
+def set_seed(seed=1024):
+    random.seed(seed)
+    np.random.seed(seed)
+    paddle.seed(seed)
diff --git a/tools/train.py b/tools/train.py
index c96298dd6645b4fc95afc64b370990e1417dbd46..506e0f7fa87fe8afc82cbb12d553a8da4ba298e2 100755
--- a/tools/train.py
+++ b/tools/train.py
@@ -27,8 +27,6 @@ import yaml
 import paddle
 import paddle.distributed as dist
 
-paddle.seed(2)
-
 from ppocr.data import build_dataloader
 from ppocr.modeling.architectures import build_model
 from ppocr.losses import build_loss
@@ -36,6 +34,7 @@ from ppocr.optimizer import build_optimizer
 from ppocr.postprocess import build_post_process
 from ppocr.metrics import build_metric
 from ppocr.utils.save_load import load_model
+from ppocr.utils.utility import set_seed
 import tools.program as program
 
 dist.get_world_size()
@@ -146,5 +145,7 @@ def test_reader(config, device, logger):
 
 if __name__ == '__main__':
     config, device, logger, vdl_writer = program.preprocess(is_train=True)
+    seed = config['Global']['seed'] if 'seed' in config['Global'] else 1024
+    set_seed(seed)
     main(config, device, logger, vdl_writer)
     # test_reader(config, device, logger)