diff --git a/tools/program.py b/tools/program.py
index 544d31d8b2..c543b7d85f 100755
--- a/tools/program.py
+++ b/tools/program.py
@@ -185,6 +185,7 @@ def train(config,
           eval_class,
           pre_best_model_dict,
           logger,
+          step_pre_epoch,
           log_writer=None,
           scaler=None,
           amp_level='O2',
@@ -198,6 +199,7 @@ def train(config,
     epoch_num = config['Global']['epoch_num']
     print_batch_step = config['Global']['print_batch_step']
     eval_batch_step = config['Global']['eval_batch_step']
+    eval_batch_epoch = config['Global'].get('eval_batch_epoch', None)
     profiler_options = config['profiler_options']
 
     global_step = 0
@@ -205,8 +207,9 @@ def train(config,
         global_step = pre_best_model_dict['global_step']
     start_eval_step = 0
     if type(eval_batch_step) == list and len(eval_batch_step) >= 2:
-        start_eval_step = eval_batch_step[0]
-        eval_batch_step = eval_batch_step[1]
+        start_eval_step = eval_batch_step[0] if not eval_batch_epoch else 0
+        eval_batch_step = eval_batch_step[
+            1] if not eval_batch_epoch else step_pre_epoch * eval_batch_epoch
         if len(valid_dataloader) == 0:
             logger.info(
                 'No Images in eval dataset, evaluation during training ' \
diff --git a/tools/train.py b/tools/train.py
index cd6dd8c06b..faed388ec1 100755
--- a/tools/train.py
+++ b/tools/train.py
@@ -61,9 +61,11 @@ def main(config, device, logger, vdl_writer, seed):
         return
 
     if config['Eval']:
-        valid_dataloader = build_dataloader(config, 'Eval', device, logger, seed)
+        valid_dataloader = build_dataloader(config, 'Eval', device, logger,
+                                            seed)
     else:
         valid_dataloader = None
+    step_pre_epoch = len(train_dataloader)
 
     # build post process
     post_process_class = build_post_process(config['PostProcess'],
@@ -93,7 +95,8 @@ def main(config, device, logger, vdl_writer, seed):
                             'DistillationSARLoss'][
                                 'ignore_index'] = char_num + 1
                         out_channels_list['SARLabelDecode'] = char_num + 2
-                    elif any('DistillationNRTRLoss' in d for d in config['Loss']['loss_config_list']):
+                    elif any('DistillationNRTRLoss' in d
+                             for d in config['Loss']['loss_config_list']):
                         out_channels_list['NRTRLabelDecode'] = char_num + 3
 
                     config['Architecture']['Models'][key]['Head'][
@@ -196,9 +199,9 @@ def main(config, device, logger, vdl_writer, seed):
     # start train
     program.train(config, train_dataloader, valid_dataloader, device, model,
                   loss_class, optimizer, lr_scheduler, post_process_class,
-                  eval_class, pre_best_model_dict, logger, vdl_writer, scaler,
-                  amp_level, amp_custom_black_list, amp_custom_white_list,
-                  amp_dtype)
+                  eval_class, pre_best_model_dict, logger, step_pre_epoch,
+                  vdl_writer, scaler, amp_level, amp_custom_black_list,
+                  amp_custom_white_list, amp_dtype)
 
 
 def test_reader(config, device, logger):