diff --git a/.travis.yml b/.travis.yml
index 559fc86e..210d158a 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -8,7 +8,7 @@ install:
   - pip install pytest-cov
 # command to run tests
 script:
-  - pytest --cov=./
+  - pytest --cov=./ test/
 
 after_success:
   - bash <(curl -s https://codecov.io/bash)
diff --git a/test/core/test_callbacks.py b/test/core/test_callbacks.py
index db640eb1..e2aa5fa4 100644
--- a/test/core/test_callbacks.py
+++ b/test/core/test_callbacks.py
@@ -12,6 +12,7 @@ from fastNLP import AccuracyMetric
 from fastNLP import SGD
 from fastNLP import Trainer
 from fastNLP.models.base_model import NaiveClassifier
+from fastNLP.core.callback import EarlyStopError
 
 
 def prepare_env():
@@ -65,7 +66,8 @@ class TestCallback(unittest.TestCase):
                           dev_data=data_set,
                           metrics=AccuracyMetric(pred="predict", target="y"),
                           callbacks=[EarlyStopCallback(5)])
-        trainer.train()
+        with self.assertRaises(EarlyStopError):
+            trainer.train()
     
     def test_lr_scheduler(self):
         data_set, model = prepare_env()
diff --git a/test/core/test_utils.py b/test/core/test_utils.py
index 91b5d00f..e3e019c6 100644
--- a/test/core/test_utils.py
+++ b/test/core/test_utils.py
@@ -18,7 +18,7 @@ class Model(nn.Module):
         self.param = nn.Parameter(torch.zeros(0))
 
 
-class TestMoveModelDeivce(unittest.TestCase):
+class TestMoveModelDevice(unittest.TestCase):
     def test_case1(self):
         # 测试str
         model = Model()