diff --git a/.bashrc b/.bashrc
new file mode 100644
index 00000000..8abbb3c7
--- /dev/null
+++ b/.bashrc
@@ -0,0 +1,15 @@
+unset GREP_OPTIONS
+
+# https://zhuanlan.zhihu.com/p/33050965
+alias nvs='nvidia-smi'
+alias his='history'
+alias jobs='jobs -l'
+alias ports='netstat -tulanp'
+alias wget='wget -c'
+
+## Colorize the grep command output for ease of use (good for log files)##
+alias grep='grep --color=auto'
+alias egrep='egrep --color=auto'
+alias fgrep='fgrep --color=auto'
+
+
diff --git a/.gitignore b/.gitignore
index 4ac2a36d..e4134a08 100644
--- a/.gitignore
+++ b/.gitignore
@@ -10,6 +10,7 @@
 .ipynb_checkpoints
 *.npz
 *.done
+*.whl
 
 tools/venv
 tools/kenlm
diff --git a/README.md b/README.md
index 424dc485..f7d1e088 100644
--- a/README.md
+++ b/README.md
@@ -16,7 +16,7 @@
 ## Setup
 
 * python>=3.7
-* paddlepaddle>=2.1.0
+* paddlepaddle>=2.1.2
 
 Please see [install](doc/src/install.md).
 
diff --git a/README_cn.md b/README_cn.md
index d762ec2b..019b38c1 100644
--- a/README_cn.md
+++ b/README_cn.md
@@ -17,7 +17,7 @@
 ## 安装
 
 * python>=3.7
-* paddlepaddle>=2.1.0
+* paddlepaddle>=2.1.2
 
 参看 [安装](doc/src/install.md)。
 
diff --git a/examples/aishell/s0/conf/deepspeech2.yaml b/examples/aishell/s0/conf/deepspeech2.yaml
index 1c97fc60..c4ff246f 100644
--- a/examples/aishell/s0/conf/deepspeech2.yaml
+++ b/examples/aishell/s0/conf/deepspeech2.yaml
@@ -32,7 +32,7 @@ collator:
   keep_transcription_text: False
   sortagrad: True
   shuffle_method: batch_shuffle
-  num_workers: 0
+  num_workers: 2
 
 model:
   num_conv_layers: 2
diff --git a/examples/librispeech/s0/conf/deepspeech2.yaml b/examples/librispeech/s0/conf/deepspeech2.yaml
index acee94c3..dab8d046 100644
--- a/examples/librispeech/s0/conf/deepspeech2.yaml
+++ b/examples/librispeech/s0/conf/deepspeech2.yaml
@@ -32,7 +32,7 @@ collator:
   keep_transcription_text: False
   sortagrad: True 
   shuffle_method: batch_shuffle
-  num_workers: 0
+  num_workers: 2
 
 model:
   num_conv_layers: 2
diff --git a/examples/librispeech/s1/conf/conformer.yaml b/examples/librispeech/s1/conf/conformer.yaml
index 955b6108..6d825f05 100644
--- a/examples/librispeech/s1/conf/conformer.yaml
+++ b/examples/librispeech/s1/conf/conformer.yaml
@@ -16,7 +16,7 @@ collator:
   spm_model_prefix: 'data/bpe_unigram_5000'
   mean_std_filepath: ""
   augmentation_config: conf/augmentation.json
-  batch_size: 16
+  batch_size: 32
   raw_wav: True  # use raw_wav or kaldi feature
   specgram_type: fbank #linear, mfcc, fbank
   feat_dim: 80
@@ -78,7 +78,7 @@ model:
 
 training:
   n_epoch: 120
-  accum_grad: 8
+  accum_grad: 4
   global_grad_clip: 3.0
   optim: adam
   optim_conf:
diff --git a/examples/librispeech/s1/conf/transformer.yaml b/examples/librispeech/s1/conf/transformer.yaml
index 26188677..8a769dca 100644
--- a/examples/librispeech/s1/conf/transformer.yaml
+++ b/examples/librispeech/s1/conf/transformer.yaml
@@ -16,7 +16,7 @@ collator:
   spm_model_prefix: 'data/bpe_unigram_5000'
   mean_std_filepath: ""
   augmentation_config: conf/augmentation.json
-  batch_size: 32
+  batch_size: 64
   raw_wav: True  # use raw_wav or kaldi feature
   specgram_type: fbank #linear, mfcc, fbank
   feat_dim: 80
@@ -73,7 +73,7 @@ model:
 
 training:
   n_epoch: 120
-  accum_grad: 4
+  accum_grad: 2
   global_grad_clip: 5.0
   optim: adam
   optim_conf:
diff --git a/examples/tiny/s0/conf/deepspeech2.yaml b/examples/tiny/s0/conf/deepspeech2.yaml
index ea433f34..ab9a00d9 100644
--- a/examples/tiny/s0/conf/deepspeech2.yaml
+++ b/examples/tiny/s0/conf/deepspeech2.yaml
@@ -32,7 +32,7 @@ collator:
   keep_transcription_text: False
   sortagrad: True 
   shuffle_method: batch_shuffle
-  num_workers: 0
+  num_workers: 2
   batch_size: 4
   
 model:
diff --git a/examples/tiny/s1/conf/transformer.yaml b/examples/tiny/s1/conf/transformer.yaml
index e97ad756..fd5adbde 100644
--- a/examples/tiny/s1/conf/transformer.yaml
+++ b/examples/tiny/s1/conf/transformer.yaml
@@ -14,7 +14,7 @@ collator:
   mean_std_filepath: ""
   vocab_filepath: data/vocab.txt 
   unit_type: 'spm'
-  spm_model_prefix: 'data/bpe_unigram_202'
+  spm_model_prefix: 'data/bpe_unigram_200'
   augmentation_config: conf/augmentation.json
   batch_size: 4
   raw_wav: True  # use raw_wav or kaldi feature