diff --git a/docs/source/asr/released_model.md b/docs/source/asr/released_model.md
index 50670aaf..dc3a176b 100644
--- a/docs/source/asr/released_model.md
+++ b/docs/source/asr/released_model.md
@@ -8,7 +8,7 @@ Acoustic Model | Training Data | Token-based | Size | Descriptions | CER | WER |
 [Conformer Online Aishell Model](https://deepspeech.bj.bcebos.com/release2.1/aishell/s1/aishell.chunk.release.tar.gz) | Aishell Dataset | Char-based | 283 MB  | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention + CTC | 0.0594 |-| 151 h
 [Conformer Offline Aishell Model](https://deepspeech.bj.bcebos.com/release2.1/aishell/s1/aishell.release.tar.gz) | Aishell Dataset | Char-based | 284 MB  | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention | 0.0547 |-| 151 h
 [Conformer Librispeech Model](https://deepspeech.bj.bcebos.com/release2.1/librispeech/s1/conformer.release.tar.gz) | Librispeech Dataset | Word-based | 287 MB  | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention |-| 0.0325 | 960 h
-[Transformer Librispeech Model](https://deepspeech.bj.bcebos.com/release2.1/librispeech/s1/transformer.release.tar.gz) | Librispeech Dataset | Word-based | 195 MB  | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention |-| 0.0544 | 960 h
+[Transformer Librispeech Model](https://deepspeech.bj.bcebos.com/release2.1/librispeech/s1/transformer.release.tar.gz) | Librispeech Dataset | Word-based | 195 MB  | Encoder:Transformer, Decoder:Transformer, Decoding method: Attention |-| 0.0544 | 960 h
 
 ## Acoustic Model Transformed from paddle 1.8
 Acoustic Model | Training Data | Token-based | Size | Descriptions | CER | WER | Hours of speech
diff --git a/examples/tiny/s0/README.md b/examples/tiny/s0/README.md
index 0f96864c..7dc16dc3 100644
--- a/examples/tiny/s0/README.md
+++ b/examples/tiny/s0/README.md
@@ -23,12 +23,6 @@
 
 - Case inference with an existing model
 
-    ```bash
-    bash local/infer.sh
-    ```
-
-    `infer.sh` will show us some speech-to-text decoding results for several (default: 10) samples with the trained model. The performance might not be good now as the current model is only trained with a toy subset of LibriSpeech. To see the results with a better model, you can download a well-trained (trained for several days, with the complete LibriSpeech) model and do the inference.
-
 - Evaluate an existing model
 
     ```bash
@@ -44,8 +38,3 @@
     bash local/export.sh ckpt_path saved_jit_model_path
     ```
 
-- Tune hyper paerameter
-
-    ```bash
-    bash local/tune.sh
-    ```