diff --git a/tests/core/metrics/test_span_f1_rec_acc_torch.py b/tests/core/metrics/test_span_f1_rec_acc_torch.py
index 227c9643..b053fc66 100644
--- a/tests/core/metrics/test_span_f1_rec_acc_torch.py
+++ b/tests/core/metrics/test_span_f1_rec_acc_torch.py
@@ -226,7 +226,7 @@ class TestSpanFPreRecMetric:
         # print(expected_metric)
         metric_value = metric.get_metric()
         for key, value in expected_metric.items():
-            assert np.allclose(value, metric_value[key])
+            assert np.allclose(value, metric_value[key], 1.e-4)
 
     def test_auto_encoding_type_infer(self):
         #  检查是否可以自动check encode的类型
@@ -289,11 +289,10 @@ class TestSpanFPreRecMetric:
             with pytest.raises(AssertionError):
                 metric = SpanFPreRecMetric(tag_vocab=vocabs[encoding_type], encoding_type='bmes')
 
-        with pytest.warns(Warning):
-            vocab = Vocabulary(unknown=None, padding=None).add_word_lst(list('bmes'))
-            metric = SpanFPreRecMetric(tag_vocab=vocab, encoding_type='bmeso')
-            vocab = Vocabulary().add_word_lst(list('bmes'))
-            metric = SpanFPreRecMetric(tag_vocab=vocab, encoding_type='bmeso')
+        vocab = Vocabulary(unknown=None, padding=None).add_word_lst(list('bmes'))
+        metric = SpanFPreRecMetric(tag_vocab=vocab, encoding_type='bmeso')
+        vocab = Vocabulary().add_word_lst(list('bmes'))
+        metric = SpanFPreRecMetric(tag_vocab=vocab, encoding_type='bmeso')
 
     def test_case5(self):
         # global pool