diff --git a/ernie/finetune/sequence_label.py b/ernie/finetune/sequence_label.py
index 1c76ec1878fec1e0b0b9852f3c37a1491cd6d666..5615c3bc44c3997428d7f3f231edb7361b52bcc7 100644
--- a/ernie/finetune/sequence_label.py
+++ b/ernie/finetune/sequence_label.py
@@ -109,6 +109,11 @@ def create_model(args, pyreader_name, ernie_config, is_prediction=False):
 
 
 def calculate_f1(num_label, num_infer, num_correct):
+
+    num_infer = np.sum(num_infer)
+    num_label = np.sum(num_label)
+    num_correct = np.sum(num_correct)
+    
     if num_infer == 0:
         precision = 0.0
     else:
diff --git a/ernie/run_sequence_labeling.py b/ernie/run_sequence_labeling.py
index 2896154c37155d8bbbf48acab1ef40286e27b372..806d9e5ebc88c07814d2bb15a75fb46e00354bd2 100644
--- a/ernie/run_sequence_labeling.py
+++ b/ernie/run_sequence_labeling.py
@@ -289,10 +289,14 @@ def main(args):
 
     # final eval on dev set
     if nccl2_trainer_id ==0 and args.do_val:
+        if not args.do_train:
+            current_example, current_epoch = reader.get_train_progress()
         evaluate_wrapper(reader, exe, test_prog, test_pyreader, graph_vars,
                 current_epoch, 'final')
 
     if nccl2_trainer_id == 0 and args.do_test:
+        if not args.do_train:
+            current_example, current_epoch = reader.get_train_progress()
         predict_wrapper(reader, exe, test_prog, test_pyreader, graph_vars,
                 current_epoch, 'final')