diff --git a/demo/ernie-classification/README.md b/demo/ernie-classification/README.md
index 45321ae546c208332fa72aa74c3353d862180553..32cf3b5c642af1281f685da17d343ea9f21fd51e 100644
--- a/demo/ernie-classification/README.md
+++ b/demo/ernie-classification/README.md
@@ -95,7 +95,7 @@ with fluid.program_guard(program): # NOTE: 必须使用fluid.program_guard接口
 ### Step4：选择优化策略并开始Finetune
 
 ```python
-strategy = hub.BERTFinetuneStrategy(
+strategy = hub.AdamWeightDecayStrategy(
     weight_decay=0.01,
     learning_rate=5e-5,
     warmup_strategy="linear_warmup_decay",
diff --git a/demo/ernie-classification/ernie_tiny_demo.py b/demo/ernie-classification/ernie_tiny_demo.py
index bf0d95d084891d8243b34feda431d6eacc773fe7..a8c24a10d10e712a15db0f39b97675b5410fa90e 100644
--- a/demo/ernie-classification/ernie_tiny_demo.py
+++ b/demo/ernie-classification/ernie_tiny_demo.py
@@ -21,7 +21,7 @@ with fluid.program_guard(program):
         feature=pooled_output, label=label, num_classes=reader.get_num_labels())
 
 # Step4
-strategy = hub.BERTFinetuneStrategy(
+strategy = hub.AdamWeightDecayStrategy(
     learning_rate=5e-5,
     warmup_proportion=0.1,
     warmup_strategy="linear_warmup_decay",
diff --git a/demo/ernie-classification/question_answering.py b/demo/ernie-classification/question_answering.py
index 3429b488860427bc74df8ea6adf7bed97c30dcb9..65406c45fcefb716dabef5c807e366567e5e730f 100644
--- a/demo/ernie-classification/question_answering.py
+++ b/demo/ernie-classification/question_answering.py
@@ -62,7 +62,7 @@ if __name__ == '__main__':
             pooled_output, label, num_classes=num_labels)
 
         # Step4: Select finetune strategy, setup config and finetune
-        strategy = hub.BERTFinetuneStrategy(
+        strategy = hub.AdamWeightDecayStrategy(
             weight_decay=args.weight_decay,
             learning_rate=args.learning_rate,
             warmup_strategy="linear_warmup_decay",
diff --git a/demo/ernie-classification/question_matching.py b/demo/ernie-classification/question_matching.py
index af2a0f6492c4ea169fec7906e49231d26d65acc2..351922c19c79c32458055213d2e95699d5cbb351 100644
--- a/demo/ernie-classification/question_matching.py
+++ b/demo/ernie-classification/question_matching.py
@@ -62,7 +62,7 @@ if __name__ == '__main__':
             pooled_output, label, num_classes=num_labels)
 
         # Step4: Select finetune strategy, setup config and finetune
-        strategy = hub.BERTFinetuneStrategy(
+        strategy = hub.AdamWeightDecayStrategy(
             weight_decay=args.weight_decay,
             learning_rate=args.learning_rate,
             warmup_strategy="linear_warmup_decay",
diff --git a/demo/ernie-classification/sentiment_cls.py b/demo/ernie-classification/sentiment_cls.py
index ec6b1b4be08d271effaa871c9d9a93e15192deab..fddc8c3ab8cdda3a8abcd4461dff047bff8122d3 100644
--- a/demo/ernie-classification/sentiment_cls.py
+++ b/demo/ernie-classification/sentiment_cls.py
@@ -61,7 +61,7 @@ if __name__ == '__main__':
             pooled_output, label, num_classes=reader.get_num_labels())
 
         # Step4: Select finetune strategy, setup config and finetune
-        strategy = hub.BERTFinetuneStrategy(
+        strategy = hub.AdamWeightDecayStrategy(
             weight_decay=args.weight_decay,
             learning_rate=args.learning_rate,
             warmup_strategy="linear_warmup_decay",
diff --git a/demo/ernie-seq-labeling/sequence_labeling.py b/demo/ernie-seq-labeling/sequence_labeling.py
index 702801149e9cf082eb8da2019fa4dc6ecd57d91e..cb99b3b9cc8e17ddd610b5d3c3f7f8e7abc3bb08 100644
--- a/demo/ernie-seq-labeling/sequence_labeling.py
+++ b/demo/ernie-seq-labeling/sequence_labeling.py
@@ -69,7 +69,7 @@ if __name__ == '__main__':
             num_classes=num_labels)
 
         # Select a finetune strategy
-        strategy = hub.BERTFinetuneStrategy(
+        strategy = hub.AdamWeightDecayStrategy(
             weight_decay=args.weight_decay,
             learning_rate=args.learning_rate,
             warmup_strategy="linear_warmup_decay",
diff --git a/paddlehub/__init__.py b/paddlehub/__init__.py
index e9e5b5347a8b91ad0d799567ae33fc4f0f4eb360..183820bf65545a587132cc3ecfe352dad0dbefbc 100644
--- a/paddlehub/__init__.py
+++ b/paddlehub/__init__.py
@@ -39,5 +39,5 @@ from .finetune.task import create_text_classification_task
 from .finetune.task import create_img_classification_task
 from .finetune.finetune import finetune_and_eval
 from .finetune.config import RunConfig
-from .finetune.strategy import BERTFinetuneStrategy
+from .finetune.strategy import AdamWeightDecayStrategy
 from .finetune.strategy import DefaultStrategy
diff --git a/paddlehub/finetune/finetune.py b/paddlehub/finetune/finetune.py
index 204270ac19d8c9d13ce0fd86149ac03c4f8a666f..f5ab2cd3aad18478f31261972837bf4587740c6f 100644
--- a/paddlehub/finetune/finetune.py
+++ b/paddlehub/finetune/finetune.py
@@ -25,7 +25,7 @@ import numpy as np
 from visualdl import LogWriter
 
 from paddlehub.common.logger import logger
-from paddlehub.finetune.strategy import BERTFinetuneStrategy, DefaultStrategy
+from paddlehub.finetune.strategy import AdamWeightDecayStrategy, DefaultStrategy
 from paddlehub.finetune.checkpoint import load_checkpoint, save_checkpoint
 from paddlehub.finetune.evaluate import evaluate_cls_task, evaluate_seq_labeling_task
 import paddlehub as hub
@@ -74,7 +74,7 @@ def _finetune_seq_label_task(task,
         data_feeder = fluid.DataFeeder(feed_list=feed_list, place=place)
 
         # Select strategy
-        if isinstance(config.strategy, hub.BERTFinetuneStrategy):
+        if isinstance(config.strategy, hub.AdamWeightDecayStrategy):
             scheduled_lr = config.strategy.execute(loss, main_program,
                                                    data_reader, config)
         elif isinstance(config.strategy, hub.DefaultStrategy):
@@ -173,7 +173,7 @@ def _finetune_cls_task(task, data_reader, feed_list, config=None,
         data_feeder = fluid.DataFeeder(feed_list=feed_list, place=place)
 
         # select strategy
-        if isinstance(config.strategy, hub.BERTFinetuneStrategy):
+        if isinstance(config.strategy, hub.AdamWeightDecayStrategy):
             scheduled_lr = config.strategy.execute(loss, main_program,
                                                    data_reader, config)
         elif isinstance(config.strategy, hub.DefaultStrategy):
diff --git a/paddlehub/finetune/strategy.py b/paddlehub/finetune/strategy.py
index 093ae49915ebe2bdc9e5cfe1ecb00a9b98e08d28..f65288100d0cc9b304cb7424fbf32e1cd4625203 100644
--- a/paddlehub/finetune/strategy.py
+++ b/paddlehub/finetune/strategy.py
@@ -61,7 +61,7 @@ class DefaultStrategy(object):
         return "DefaultStrategy"
 
 
-class BERTFinetuneStrategy(DefaultStrategy):
+class AdamWeightDecayStrategy(DefaultStrategy):
     def __init__(self,
                  learning_rate=1e-4,
                  warmup_strategy="linear_warmup_decay",
@@ -114,7 +114,7 @@ class BERTFinetuneStrategy(DefaultStrategy):
 
     # TODO complete __str__()
     def __str__(self):
-        return "BERTFintuneStrategy"
+        return "AdamWeightDecayStrategy"
 
 
 class DefaultFinetuneStrategy(DefaultStrategy):