diff --git a/README.md b/README.md
index 4fb6874af1ea4b49f5a117e6564fc6f37ca6b9c5..cb7ca47084f3574031f1b9eb9665c03a0d721b3f 100644
--- a/README.md
+++ b/README.md
@@ -70,11 +70,15 @@ PaddleClas的安装说明、模型训练、预测、评估以及模型微调（f
 
 ### 10万类图像分类预训练模型
 在实际应用中，由于训练数据匮乏，往往将ImageNet1K数据集训练的分类模型作为预训练模型，进行图像分类的迁移学习。然而ImageNet1K数据集的类别只有1000种，预训练模型的特征迁移能力有限。因此百度自研了一个有语义体系的、粒度有粗有细的10w级别的Tag体系，通过人工或半监督方式，至今收集到 5500w+图片训练数据；该系统是国内甚至世界范围内最大规模的图片分类体系和训练集合。PaddleClas提供了在该数据集上训练的ResNet50_vd的模型。下表显示了一些实际应用场景中，使用ImageNet预训练模型和上述10万类图像分类预训练模型的效果比对，使用10万类图像分类预训练模型，识别准确率最高可以提升30%。
-
-<div align="center">
-<img
-src="docs/images/10w_cls.png" width="450">
-</div>
+    
+| 数据集   | 数据统计                | ImageNet预训练模型 | 10万类图像分类预训练模型 |
+|:--:|:--:|:--:|:--:|
+| 花卉    | class_num:102<br/>train/val:5789/2396      | 0.7779        | 0.9892        |
+| 手绘简笔画 | class_num:18<br/>train/val:1007/432        | 0.8785        | 0.9107        |
+| 植物叶子  | class_num:6<br/>train/val:5256/2278        | 0.8212        | 0.8385        |
+| 集装箱车辆 | class_num:115<br/>train/val:4879/2094       | 0.623         | 0.9524        |
+| 椅子    | class_num:5<br/>train/val:169/784         | 0.8557        | 0.9077        |
+| 地质    | class_num:4<br/>train/val:671/296         | 0.5719        | 0.6781        |
 
 10万类图像分类预训练模型下载地址如下，更多的相关内容请参考文档教程中的[**图像分类迁移学习章节**](https://paddleclas.readthedocs.io/zh_CN/latest/application/transfer_learning.html#id1)。
 
diff --git a/ppcls/utils/config.py b/ppcls/utils/config.py
index 3d30cab706319c1c8f85318d028cf35ba282e12e..524d9a6e3b5b72ebbd8f3068c0de1ea4b306c689 100644
--- a/ppcls/utils/config.py
+++ b/ppcls/utils/config.py
@@ -14,13 +14,12 @@
 
 import os
 import yaml
+
 from ppcls.utils import check
 from ppcls.utils import logger
 
 __all__ = ['get_config']
 
-CONFIG_SECS = ['ARCHITECTURE', 'TRAIN', 'VALID', 'OPTIMIZER', 'LEARNING_RATE']
-
 
 class AttrDict(dict):
     def __getattr__(self, key):
@@ -47,13 +46,12 @@ def create_attr_dict(yaml_config):
             create_attr_dict(yaml_config[key])
         else:
             yaml_config[key] = value
-    return
 
 
 def parse_config(cfg_file):
     """Load a config file into AttrDict"""
     with open(cfg_file, 'r') as fopen:
-        yaml_config = AttrDict(yaml.load(fopen, Loader=yaml.FullLoader))
+        yaml_config = AttrDict(yaml.load(fopen, Loader=yaml.SafeLoader))
     create_attr_dict(yaml_config)
     return yaml_config
 
@@ -63,10 +61,8 @@ def print_dict(d, delimiter=0):
     Recursively visualize a dict and
     indenting acrrording by the relationship of keys.
     """
-    for k, v in d.items():
-        if k in CONFIG_SECS:
-            logger.info("-" * 60)
-
+    placeholder = "-" * 60
+    for k, v in sorted(d.items()):
         if isinstance(v, dict):
             logger.info("{}{} : ".format(delimiter * " ", k))
             print_dict(v, delimiter + 4)
@@ -77,8 +73,8 @@ def print_dict(d, delimiter=0):
         else:
             logger.info("{}{} : {}".format(delimiter * " ", k, v))
 
-        if k in CONFIG_SECS:
-            logger.info("-" * 60)
+        if k.isupper():
+            logger.info(placeholder)
 
 
 def print_config(config):
@@ -88,18 +84,22 @@ def print_config(config):
     Arguments:
         config: configs
     """
-
-    copyright = "PaddleClas is powered by PaddlePaddle"
-    ad = "https://github.com/PaddlePaddle/PaddleClas"
-
-    logger.info("\n" * 2)
-    logger.info(copyright)
-    logger.info(ad)
-
+    copyright = "PaddleClas is powered by PaddlePaddle !"
+    info = "For more info please go to the following website."
+    website = "https://github.com/PaddlePaddle/PaddleClas"
+    AD_LEN = 55
+
+    logger.info("\n{0}\n{1}\n{2}\n{3}\n{4}\n{5}\n{6}\n{7}\n".format(
+        "=" * (AD_LEN + 4),
+        "=={}==".format(copyright.center(AD_LEN)),
+        "=" * (AD_LEN + 4),
+        "=={}==".format(' ' * AD_LEN),
+        "=={}==".format(info.center(AD_LEN)),
+        "=={}==".format(' ' * AD_LEN),
+        "=={}==".format(website.center(AD_LEN)),
+        "=" * (AD_LEN + 4), ))
     print_dict(config)
 
-    logger.info("-" * 60)
-
 
 def check_config(config):
     """
@@ -157,7 +157,7 @@ def override(dl, ks, v):
             override(dl[ks[0]], ks[1:], v)
 
 
-def override_config(config, options=[]):
+def override_config(config, options=None):
     """
     Recursively override the config
 
@@ -172,32 +172,31 @@ def override_config(config, options=[]):
     Returns:
         config(dict): replaced config
     """
-    for opt in options:
-        assert isinstance(opt, str), \
-                ("option({}) should be a str".format(opt))
-        assert "=" in opt, ("option({}) should contain " \
-                "a = to distinguish between key and value".format(opt))
-        pair = opt.split('=')
-        assert len(pair) == 2, ("there can be only a = in the option")
-        key, value = pair
-        keys = key.split('.')
-        override(config, keys, value)
+    if options is not None:
+        for opt in options:
+            assert isinstance(opt, str), (
+                "option({}) should be a str".format(opt))
+            assert "=" in opt, (
+                "option({}) should contain a ="
+                "to distinguish between key and value".format(opt))
+            pair = opt.split('=')
+            assert len(pair) == 2, ("there can be only a = in the option")
+            key, value = pair
+            keys = key.split('.')
+            override(config, keys, value)
 
     return config
 
 
-def get_config(fname, overrides=[], show=True):
+def get_config(fname, overrides=None, show=True):
     """
     Read config from file
     """
-    assert os.path.exists(fname), \
-            ('config file({}) is not exist'.format(fname))
+    assert os.path.exists(fname), (
+        'config file({}) is not exist'.format(fname))
     config = parse_config(fname)
+    override_config(config, overrides)
     if show:
         print_config(config)
-    if len(overrides) > 0:
-        override_config(config, overrides)
-        if show:
-            print_config(config)
     check_config(config)
     return config