diff --git a/fastNLP/__init__.py b/fastNLP/__init__.py
index 2ca2c427..95d6f12c 100644
--- a/fastNLP/__init__.py
+++ b/fastNLP/__init__.py
@@ -45,7 +45,8 @@ __all__ = [
     
     "AccuracyMetric",
     "SpanFPreRecMetric",
-    "ExtractiveQAMetric",
+    "CMRC2018Metric",
+    "ClassifyFPreRecMetric",
     
     "Optimizer",
     "SGD",
diff --git a/fastNLP/core/__init__.py b/fastNLP/core/__init__.py
index f8e9c995..62bf4a77 100644
--- a/fastNLP/core/__init__.py
+++ b/fastNLP/core/__init__.py
@@ -62,6 +62,7 @@ __all__ = [
     "AccuracyMetric",
     "SpanFPreRecMetric",
     "CMRC2018Metric",
+    "ClassifyFPreRecMetric",
 
     "Optimizer",
     "SGD",
@@ -84,7 +85,7 @@ from .dataset import DataSet
 from .field import FieldArray, Padder, AutoPadder, EngChar2DPadder
 from .instance import Instance
 from .losses import LossFunc, CrossEntropyLoss, L1Loss, BCELoss, NLLLoss, LossInForward, CMRC2018Loss
-from .metrics import AccuracyMetric, SpanFPreRecMetric, CMRC2018Metric
+from .metrics import AccuracyMetric, SpanFPreRecMetric, CMRC2018Metric, ClassifyFPreRecMetric
 from .optimizer import Optimizer, SGD, Adam, AdamW
 from .sampler import SequentialSampler, BucketSampler, RandomSampler, Sampler
 from .tester import Tester
diff --git a/fastNLP/core/metrics.py b/fastNLP/core/metrics.py
index a76d7ecc..4c05e94b 100644
--- a/fastNLP/core/metrics.py
+++ b/fastNLP/core/metrics.py
@@ -6,7 +6,8 @@ __all__ = [
     "MetricBase",
     "AccuracyMetric",
     "SpanFPreRecMetric",
-    "CMRC2018Metric"
+    "CMRC2018Metric",
+    "ClassifyFPreRecMetric"
 ]
 
 import inspect
diff --git a/fastNLP/core/tester.py b/fastNLP/core/tester.py
index 8e2ac8a7..be76a29c 100644
--- a/fastNLP/core/tester.py
+++ b/fastNLP/core/tester.py
@@ -72,7 +72,7 @@ class Tester(object):
         """
         
         :param ~fastNLP.DataSet data: 需要测试的数据集
-        :param torch.nn.module model: 使用的模型
+        :param torch.nn.Module model: 使用的模型
         :param ~fastNLP.core.metrics.MetricBase,List[~fastNLP.core.metrics.MetricBase] metrics: 测试时使用的metrics
         :param int batch_size: evaluation时使用的batch_size有多大。
         :param str,int,torch.device,list(int) device: 将模型load到哪个设备。默认为None，即Trainer不对模型