diff --git a/examples/aishell/asr1/conf/chunk_conformer.yaml b/examples/aishell/asr1/conf/chunk_conformer.yaml
index 3cfe9b1b..b389e367 100644
--- a/examples/aishell/asr1/conf/chunk_conformer.yaml
+++ b/examples/aishell/asr1/conf/chunk_conformer.yaml
@@ -10,7 +10,7 @@ encoder_conf:
     attention_heads: 4
     linear_units: 2048  # the number of units of position-wise feed forward
     num_blocks: 12      # the number of encoder blocks
-    dropout_rate: 0.1
+    dropout_rate: 0.1   # sublayer output dropout
     positional_dropout_rate: 0.1
     attention_dropout_rate: 0.0
     input_layer: conv2d # encoder input type, you can chose conv2d, conv2d6 and conv2d8
@@ -30,7 +30,7 @@ decoder_conf:
     attention_heads: 4
     linear_units: 2048
     num_blocks: 6
-    dropout_rate: 0.1
+    dropout_rate: 0.1  # sublayer output dropout
     positional_dropout_rate: 0.1
     self_attention_dropout_rate: 0.0
     src_attention_dropout_rate: 0.0
@@ -39,7 +39,7 @@ model_conf:
     ctc_weight: 0.3
     lsm_weight: 0.1     # label smoothing option
     length_normalized_loss: false
-    init_type: 'kaiming_uniform' 
+    init_type: 'kaiming_uniform' # !Warning: need to convergence
 
 ###########################################
 #                   Data                  #
diff --git a/examples/aishell/asr1/conf/conformer.yaml b/examples/aishell/asr1/conf/conformer.yaml
index a150a04d..2419d07a 100644
--- a/examples/aishell/asr1/conf/conformer.yaml
+++ b/examples/aishell/asr1/conf/conformer.yaml
@@ -37,7 +37,7 @@ model_conf:
     ctc_weight: 0.3
     lsm_weight: 0.1     # label smoothing option
     length_normalized_loss: false
-    init_type: 'kaiming_uniform' 
+    init_type: 'kaiming_uniform' # !Warning: need to convergence
 
 ###########################################
 #                   Data                  #
diff --git a/examples/aishell/asr1/conf/transformer.yaml b/examples/aishell/asr1/conf/transformer.yaml
index 9e08ea0e..4e068420 100644
--- a/examples/aishell/asr1/conf/transformer.yaml
+++ b/examples/aishell/asr1/conf/transformer.yaml
@@ -10,7 +10,7 @@ encoder_conf:
     attention_heads: 4
     linear_units: 2048  # the number of units of position-wise feed forward
     num_blocks: 12      # the number of encoder blocks
-    dropout_rate: 0.1
+    dropout_rate: 0.1   # sublayer output dropout
     positional_dropout_rate: 0.1
     attention_dropout_rate: 0.0
     input_layer: conv2d # encoder input type, you can chose conv2d, conv2d6 and conv2d8
@@ -21,7 +21,7 @@ decoder_conf:
     attention_heads: 4
     linear_units: 2048
     num_blocks: 6
-    dropout_rate: 0.1
+    dropout_rate: 0.1  # sublayer output dropout
     positional_dropout_rate: 0.1
     self_attention_dropout_rate: 0.0
     src_attention_dropout_rate: 0.0