diff --git a/fluid/PaddleNLP/text_classification/nets.py b/fluid/PaddleNLP/text_classification/nets.py
index 6ba637dd087afd8e45ad8d0752ac9850ec49e627..4a7caad99f89ae6db0a748634a7c9b0d6632f2ec 100644
--- a/fluid/PaddleNLP/text_classification/nets.py
+++ b/fluid/PaddleNLP/text_classification/nets.py
@@ -101,7 +101,7 @@ def gru_net(data,
             hid_dim=128,
             hid_dim2=96,
             class_dim=2,
-            emb_lr=400.0):
+            emb_lr=30.0):
     """
     gru net
     """
diff --git a/fluid/PaddleNLP/text_classification/train.py b/fluid/PaddleNLP/text_classification/train.py
index 174636f06ec5fe07180347745f910166140e9eed..a6978a15d2d58a91998b6941a438d804e3e0ee5e 100644
--- a/fluid/PaddleNLP/text_classification/train.py
+++ b/fluid/PaddleNLP/text_classification/train.py
@@ -22,7 +22,6 @@ def train(train_reader,
           parallel,
           save_dirname,
           lr=0.2,
-          batch_size=128,
           pass_num=30):
     """
     train network
@@ -100,8 +99,7 @@ def train_net():
             parallel=False,
             save_dirname="bow_model",
             lr=0.002,
-            pass_num=30,
-            batch_size=4)
+            pass_num=30)
     elif sys.argv[1] == "cnn":
         train(
             train_reader,
@@ -111,8 +109,7 @@ def train_net():
             parallel=False,
             save_dirname="cnn_model",
             lr=0.01,
-            pass_num=30,
-            batch_size=4)
+            pass_num=30)
     elif sys.argv[1] == "lstm":
         train(
             train_reader,
@@ -122,19 +119,17 @@ def train_net():
             parallel=False,
             save_dirname="lstm_model",
             lr=0.05,
-            pass_num=30,
-            batch_size=4)
+            pass_num=30)
     elif sys.argv[1] == "gru":
         train(
             train_reader,
             word_dict,
-            lstm_net,
+            gru_net,
             use_cuda=True,
             parallel=False,
             save_dirname="gru_model",
             lr=0.05,
-            pass_num=30,
-            batch_size=4)
+            pass_num=30)
     else:
         print("network name cannot be found!")
         sys.exit(1)