diff --git a/audio/setup.py b/audio/setup.py
index ffee6f9d..ec67c81d 100644
--- a/audio/setup.py
+++ b/audio/setup.py
@@ -19,7 +19,7 @@ from setuptools.command.install import install
 from setuptools.command.test import test
 
 # set the version here
-VERSION = '1.0.0a'
+VERSION = '0.0.0'
 
 
 # Inspired by the example at https://pytest.org/latest/goodpractises.html
diff --git a/docs/source/released_model.md b/docs/source/released_model.md
index aee44859..61a3eb26 100644
--- a/docs/source/released_model.md
+++ b/docs/source/released_model.md
@@ -6,8 +6,10 @@
 ### Speech Recognition Model
 Acoustic Model | Training Data | Token-based | Size | Descriptions | CER | WER | Hours of speech | Example Link 
 :-------------:| :------------:| :-----: | -----: | :-----: |:-----:| :-----:  | :-----:  | :-----: 
-[Ds2 Online Aishell ASR0 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_online_aishell_fbank161_ckpt_0.2.1.model.tar.gz) | Aishell Dataset | Char-based | 491 MB  | 2 Conv + 5 LSTM layers with only forward direction | 0.0666 |-| 151 h | [D2 Online Aishell ASR0](../../examples/aishell/asr0) 
+[Ds2 Online Wenetspeech ASR0 Model](https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr0/asr0_deepspeech2_online_wenetspeech_ckpt_1.0.0a.model.tar.gz) | Wenetspeech Dataset | Char-based | 1.2 GB  | 2 Conv + 5 LSTM layers | 0.152 (test\_net, w/o LM), 0.053 (aishell, w/ LM) |-| 10000 h |- 
+[Ds2 Online Aishell ASR0 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_online_aishell_fbank161_ckpt_0.2.1.model.tar.gz) | Aishell Dataset | Char-based | 491 MB  | 2 Conv + 5 LSTM layers | 0.0666 |-| 151 h | [D2 Online Aishell ASR0](../../examples/aishell/asr0) 
 [Ds2 Offline Aishell ASR0 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_aishell_ckpt_0.1.1.model.tar.gz)| Aishell Dataset | Char-based | 306 MB | 2 Conv + 3 bidirectional GRU layers| 0.064 |-| 151 h | [Ds2 Offline Aishell ASR0](../../examples/aishell/asr0) 
+[Conformer Online Wenetspeech ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz) | WenetSpeech Dataset | Char-based | 457 MB  | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring| 0.11 (test\_net) |-| 10000 h |- 
 [Conformer Online Aishell ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_chunk_conformer_aishell_ckpt_0.2.0.model.tar.gz) | Aishell Dataset | Char-based | 189 MB  | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring| 0.0544 |-| 151 h | [Conformer Online Aishell ASR1](../../examples/aishell/asr1) 
 [Conformer Offline Aishell ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_conformer_aishell_ckpt_0.1.2.model.tar.gz) | Aishell Dataset | Char-based | 189 MB  | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring | 0.0464 |-| 151 h | [Conformer Offline Aishell ASR1](../../examples/aishell/asr1) 
 [Transformer Aishell ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_transformer_aishell_ckpt_0.1.1.model.tar.gz) | Aishell Dataset | Char-based | 128 MB | Encoder:Transformer, Decoder:Transformer, Decoding method: Attention rescoring | 0.0523 || 151 h | [Transformer  Aishell ASR1](../../examples/aishell/asr1) 
diff --git a/examples/wenetspeech/asr0/RESULTS.md b/examples/wenetspeech/asr0/RESULTS.md
new file mode 100644
index 00000000..17c0b9e5
--- /dev/null
+++ b/examples/wenetspeech/asr0/RESULTS.md
@@ -0,0 +1,7 @@
+# Wenetspeech
+
+## Deepspeech2 Streaming
+
+| Model | Number of Params | Release | Config | Test set | Valid Loss | CER | 
+| --- | --- | --- | --- | --- | --- | --- | 
+| DeepSpeech2 | 1.2G | r1.0.0a | conf/deepspeech2\_online.yaml + spec aug + fbank161 | test\_net | 13.307 | 15.02 |
diff --git a/examples/wenetspeech/asr1/RESULTS.md b/examples/wenetspeech/asr1/RESULTS.md
index 5c2b8143..2b03b3f2 100644
--- a/examples/wenetspeech/asr1/RESULTS.md
+++ b/examples/wenetspeech/asr1/RESULTS.md
@@ -1,9 +1,19 @@
 # WenetSpeech
 
+## Conformer online
+
+| Model | Params | Config | Augmentation| Test set | Decode method | Loss | CER |  
+| --- | --- | --- | --- | --- | --- | --- | --- |
+| conformer | 123.47 M | conf/chunk_conformer.yaml | spec_aug  | test net | attention | 9.329 | 0.1102 |  
+| conformer | 123.47 M | conf/chunk_conformer.yaml | spec_aug  | test net | ctc_greedy_search | 9.329 | 0.1207 |  
+| conformer | 123.47 M | conf/chunk_conformer.yaml | spec_aug  | test net | ctc_prefix_beam_search | 9.329 | 0.1203 |  
+| conformer | 123.47 M | conf/chunk_conformer.yaml | spec_aug  | test net | attention_rescoring | 9.329  | 0.1100 |  
+
+
 
 ## Conformer
 
-| Model | Params | Config | Augmentation| Test set | Decode method | Loss | WER |  
+| Model | Params | Config | Augmentation| Test set | Decode method | Loss | CER |  
 | --- | --- | --- | --- | --- | --- | --- | --- |
 | conformer | 32.52 M | conf/conformer.yaml | spec_aug  | dev | attention |  |  |  
 | conformer | 32.52 M | conf/conformer.yaml | spec_aug  | test net | ctc_greedy_search |  |  |  
@@ -16,7 +26,7 @@
 
 Pretrain model from http://mobvoi-speech-public.ufile.ucloud.cn/public/wenet/wenetspeech/20211025_conformer_exp.tar.gz
 
-| Model | Params | Config | Augmentation| Test set | Decode method | Loss | WER |  
+| Model | Params | Config | Augmentation| Test set | Decode method | Loss | CER |  
 | --- | --- | --- | --- | --- | --- | --- | --- |
 | conformer | 32.52 M | conf/conformer.yaml | spec_aug  | aishell1 | attention | - | 0.048456 |  
 | conformer | 32.52 M | conf/conformer.yaml | spec_aug  | aishell1 | ctc_greedy_search | - | 0.052534 |  
diff --git a/setup.py b/setup.py
index 8cd687d8..ad353d42 100644
--- a/setup.py
+++ b/setup.py
@@ -27,7 +27,7 @@ from setuptools.command.install import install
 
 HERE = Path(os.path.abspath(os.path.dirname(__file__)))
 
-VERSION = '1.0.0a'
+VERSION = '0.0.0'
 COMMITID = 'none'
 
 base = [