diff --git a/fastNLP/core/callback.py b/fastNLP/core/callback.py
index 352e6127..de6303ad 100644
--- a/fastNLP/core/callback.py
+++ b/fastNLP/core/callback.py
@@ -177,34 +177,36 @@ class DummyCallback(Callback):
     def before_train(self, *arg):
         print(arg)
 
-    def after_epoch(self):
-        print("after epoch!!!")
-        return 12
+    def after_epoch(self, cur_epoch, n_epoch, optimizer):
+        print(cur_epoch, n_epoch, optimizer)
 
 
 class EchoCallback(Callback):
     def before_train(self):
         print("before_train")
 
-    def before_epoch(self):
+    def before_epoch(self, cur_epoch, total_epoch):
         print("before_epoch")
 
-    def before_batch(self):
+    def before_batch(self, batch_x, batch_y, indices):
         print("before_batch")
+        print("batch_x:", batch_x)
+        print("batch_y:", batch_y)
+        print("indices: ", indices)
 
-    def before_loss(self):
+    def before_loss(self, batch_y, predict_y):
         print("before_loss")
 
-    def before_backward(self):
+    def before_backward(self, loss, model):
         print("before_backward")
 
     def after_batch(self):
         print("after_batch")
 
-    def after_epoch(self):
+    def after_epoch(self, cur_epoch, n_epoch, optimizer):
         print("after_epoch")
 
-    def after_train(self):
+    def after_train(self, model):
         print("after_train")
 
 class GradientClipCallback(Callback):