diff --git a/paddlehub/finetune/config.py b/paddlehub/finetune/config.py
index 16a5d3927fdeac8bb2a9bac31c6308b91b9f6e3e..6e79609acd67218299212fdad06c484ed5a7fb96 100644
--- a/paddlehub/finetune/config.py
+++ b/paddlehub/finetune/config.py
@@ -33,7 +33,7 @@ class RunConfig(object):
                  use_cuda=False,
                  checkpoint_dir=None,
                  num_epoch=10,
-                 batch_size=None,
+                 batch_size=8,
                  enable_memory_optim=True,
                  strategy=None):
         """ Construct finetune Config """
diff --git a/paddlehub/finetune/strategy.py b/paddlehub/finetune/strategy.py
index a6dc7afca72247cb57da9a187b899c652e6d3db8..4015d16fda3150d973b8b1ead12fe572814fa6b9 100644
--- a/paddlehub/finetune/strategy.py
+++ b/paddlehub/finetune/strategy.py
@@ -47,6 +47,30 @@ class DefaultStrategy(object):
         if self._optimizer_name.lower() == "sgd":
             self.optimizer = fluid.optimizer.SGD(
                 learning_rate=self.learning_rate)
+        elif self._optimizer_name.lower() == "adagrad":
+            self.optimizer = fluid.optimizer.Adagrad(
+                learning_rate=self.learning_rate)
+        elif self._optimizer_name.lower() == "adamax":
+            self.optimizer = fluid.optimizer.Adamax(
+                learning_rate=self.learning_rate)
+        elif self._optimizer_name.lower() == "decayedadagrad":
+            self.optimizer = fluid.optimizer.DecayedAdagrad(
+                learning_rate=self.learning_rate)
+        elif self._optimizer_name.lower() == "ftrl":
+            self.optimizer = fluid.optimizer.Ftrl(
+                learning_rate=self.learning_rate)
+        elif self._optimizer_name.lower() == "larsmomentum":
+            self.optimizer = fluid.optimizer.LarsMomentum(
+                learning_rate=self.learning_rate)
+        elif self._optimizer_name.lower() == "momentum":
+            self.optimizer = fluid.optimizer.Momentum(
+                learning_rate=self.learning_rate)
+        elif self._optimizer_name.lower() == "decayedadagrad":
+            self.optimizer = fluid.optimizer.DecayedAdagrad(
+                learning_rate=self.learning_rate)
+        elif self._optimizer_name.lower() == "rmsprop":
+            self.optimizer = fluid.optimizer.RMSPropOptimizer(
+                learning_rate=self.learning_rate)
         else:
             self.optimizer = fluid.optimizer.Adam(
                 learning_rate=self.learning_rate)
@@ -132,6 +156,30 @@ class DefaultFinetuneStrategy(DefaultStrategy):
         if self._optimizer_name.lower() == "sgd":
             self.optimizer = fluid.optimizer.SGD(
                 learning_rate=self.learning_rate)
+        elif self._optimizer_name.lower() == "adagrad":
+            self.optimizer = fluid.optimizer.Adagrad(
+                learning_rate=self.learning_rate)
+        elif self._optimizer_name.lower() == "adamax":
+            self.optimizer = fluid.optimizer.Adamax(
+                learning_rate=self.learning_rate)
+        elif self._optimizer_name.lower() == "decayedadagrad":
+            self.optimizer = fluid.optimizer.DecayedAdagrad(
+                learning_rate=self.learning_rate)
+        elif self._optimizer_name.lower() == "ftrl":
+            self.optimizer = fluid.optimizer.Ftrl(
+                learning_rate=self.learning_rate)
+        elif self._optimizer_name.lower() == "larsmomentum":
+            self.optimizer = fluid.optimizer.LarsMomentum(
+                learning_rate=self.learning_rate)
+        elif self._optimizer_name.lower() == "momentum":
+            self.optimizer = fluid.optimizer.Momentum(
+                learning_rate=self.learning_rate)
+        elif self._optimizer_name.lower() == "decayedadagrad":
+            self.optimizer = fluid.optimizer.DecayedAdagrad(
+                learning_rate=self.learning_rate)
+        elif self._optimizer_name.lower() == "rmsprop":
+            self.optimizer = fluid.optimizer.RMSPropOptimizer(
+                learning_rate=self.learning_rate)
         else:
             self.optimizer = fluid.optimizer.Adam(
                 learning_rate=self.learning_rate)