Merge pull request #752 from PaddlePaddle/conf

fix conf and readme

.bashrc

+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'
+
+

.gitignore

@@ -10,6 +10,7 @@
 .ipynb_checkpoints
 *.npz
 *.done
+*.whl
 
 tools/venv
 tools/kenlm

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).
 

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)。
 

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

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

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:

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:

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:

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