diff --git a/examples/aishell/s0/conf/deepspeech2.yaml b/examples/aishell/s0/conf/deepspeech2.yaml
index 8b08ee308743a2550d1e85926ea1001e5c8e73c8..40f718f8bd23619defbbafe59935262e72b6ab83 100644
--- a/examples/aishell/s0/conf/deepspeech2.yaml
+++ b/examples/aishell/s0/conf/deepspeech2.yaml
@@ -35,6 +35,8 @@ model:
   rnn_layer_size: 1024
   use_gru: True 
   share_rnn_weights: False
+  blank_id: 0
+  ctc_grad_norm_type: instance
 
 training:
   n_epoch: 50
diff --git a/examples/librispeech/s1/conf/transformer.yaml b/examples/librispeech/s1/conf/transformer.yaml
index a094b0fba6088ced2252fc71963ed3afb9ca5c0f..243b24aa05d911e36d87a2af9b2f52cccca4b631 100644
--- a/examples/librispeech/s1/conf/transformer.yaml
+++ b/examples/librispeech/s1/conf/transformer.yaml
@@ -8,7 +8,7 @@ data:
   spm_model_prefix: 'data/bpe_unigram_5000'
   mean_std_filepath: ""
   augmentation_config: conf/augmentation.json
-  batch_size: 64
+  batch_size: 32
   min_input_len: 0.5  # second
   max_input_len: 20.0 # second
   min_output_len: 0.0 # tokens
@@ -65,13 +65,15 @@ model:
     # hybrid CTC/attention
     model_conf:
         ctc_weight: 0.3
+        ctc_dropoutrate: 0.0
+        ctc_grad_norm_type: instance
         lsm_weight: 0.1     # label smoothing option
         length_normalized_loss: false
 
 
 training:
   n_epoch: 120
-  accum_grad: 2
+  accum_grad: 4
   global_grad_clip: 5.0
   optim: adam
   optim_conf: