refactor libri s2 conf

examples/librispeech/s2/conf/transformer.yaml

 # https://yaml.org/type/float.html
-data:
-  train_manifest: data/manifest.train
-  dev_manifest: data/manifest.dev
-  test_manifest: data/manifest.test-clean
-
-collator:
-  vocab_filepath: data/lang_char/train_960_unigram5000_units.txt
-  unit_type: spm
-  spm_model_prefix: data/lang_char/train_960_unigram5000
-  feat_dim: 83
-  stride_ms: 10.0
-  window_ms: 25.0
-  sortagrad: 0 # Feed samples from shortest to longest ; -1: enabled for all epochs, 0: disabled, other: enabled for 'other' epochs 
-  batch_size: 30 
-  maxlen_in: 512  # if input length  > maxlen-in, batchsize is automatically reduced
-  maxlen_out: 150  # if output length > maxlen-out, batchsize is automatically reduced
-  minibatches: 0 # for debug
-  batch_count: auto
-  batch_bins: 0 
-  batch_frames_in: 0
-  batch_frames_out: 0
-  batch_frames_inout: 0
-  augmentation_config: conf/augmentation.json
-  num_workers: 0
-  subsampling_factor: 1
-  num_encs: 1
-
-
 # network architecture
 model:
-    cmvn_file:  
-    cmvn_file_type: "json"
     # encoder related
     encoder: transformer
     encoder_conf:
@@ -63,6 +33,33 @@ model:
         lsm_weight: 0.1     # label smoothing option
         length_normalized_loss: false
 
+data:
+  train_manifest: data/manifest.train
+  dev_manifest: data/manifest.dev
+  test_manifest: data/manifest.test-clean
+
+collator:
+  vocab_filepath: data/lang_char/train_960_unigram5000_units.txt
+  unit_type: spm
+  spm_model_prefix: data/lang_char/train_960_unigram5000
+  feat_dim: 83
+  stride_ms: 10.0
+  window_ms: 25.0
+  sortagrad: 0 # Feed samples from shortest to longest ; -1: enabled for all epochs, 0: disabled, other: enabled for 'other' epochs 
+  batch_size: 30 
+  maxlen_in: 512  # if input length  > maxlen-in, batchsize is automatically reduced
+  maxlen_out: 150  # if output length > maxlen-out, batchsize is automatically reduced
+  minibatches: 0 # for debug
+  batch_count: auto
+  batch_bins: 0 
+  batch_frames_in: 0
+  batch_frames_out: 0
+  batch_frames_inout: 0
+  augmentation_config: conf/augmentation.json
+  num_workers: 0
+  subsampling_factor: 1
+  num_encs: 1
+
 
 training:
   n_epoch: 120