diff --git a/paddlex/cv/models/base.py b/paddlex/cv/models/base.py
index f0a52fa2436ad3303f4cfba447cdfb3b53663e64..0fd06b6a7f218f96a051f9cbf1d32ae905649b6e 100644
--- a/paddlex/cv/models/base.py
+++ b/paddlex/cv/models/base.py
@@ -428,9 +428,7 @@ class BaseAPI:
 
         if use_vdl:
             # VisualDL component
-            log_writer = LogWriter(vdl_logdir, sync_cycle=20)
-            train_step_component = OrderedDict()
-            eval_component = OrderedDict()
+            log_writer = LogWriter(vdl_logdir)
 
         thresh = 0.0001
         if early_stop:
@@ -468,13 +466,7 @@ class BaseAPI:
 
                     if use_vdl:
                         for k, v in step_metrics.items():
-                            if k not in train_step_component.keys():
-                                with log_writer.mode('Each_Step_while_Training'
-                                                     ) as step_logger:
-                                    train_step_component[
-                                        k] = step_logger.scalar(
-                                            'Training: {}'.format(k))
-                            train_step_component[k].add_record(num_steps, v)
+                            log_writer.add_scalar('Metrics/Training(Step): {}'.format(k), v, num_steps)
 
                     # 估算剩余时间
                     avg_step_time = np.mean(time_stat)
@@ -535,12 +527,7 @@ class BaseAPI:
                             if isinstance(v, np.ndarray):
                                 if v.size > 1:
                                     continue
-                            if k not in eval_component:
-                                with log_writer.mode('Each_Epoch_on_Eval_Data'
-                                                     ) as eval_logger:
-                                    eval_component[k] = eval_logger.scalar(
-                                        'Evaluation: {}'.format(k))
-                            eval_component[k].add_record(i + 1, v)
+                            log_writer.add_scalar("Metrics/Eval(Epoch): {}".format(k), v, i+1)
                 self.save_model(save_dir=current_save_dir)
                 time_eval_one_epoch = time.time() - eval_epoch_start_time
                 eval_epoch_start_time = time.time()
diff --git a/setup.py b/setup.py
index 01e778b7453daf986f6f28c0e2be2461747f8711..f8d54dc6b8100c544decaf0af9f8698c8640ff81 100644
--- a/setup.py
+++ b/setup.py
@@ -30,7 +30,7 @@ setuptools.setup(
     setup_requires=['cython', 'numpy', 'sklearn'],
     install_requires=[
         "pycocotools;platform_system!='Windows'", 'pyyaml', 'colorama', 'tqdm',
-        'visualdl==1.3.0', 'paddleslim==1.0.1'
+        'visualdl==1.3.0', 'paddleslim==1.0.1', 'visualdl==2.0.0a2'
     ],
     classifiers=[
         "Programming Language :: Python :: 3",