diff --git a/examples/librispeech/asr2/conf/transformer.yaml b/examples/librispeech/asr2/conf/transformer.yaml
index 4a50183a9c84ce1470966e833f163efe38a960e5..3e9350abc0f118e152132e8c45e579fb29cbdc8a 100644
--- a/examples/librispeech/asr2/conf/transformer.yaml
+++ b/examples/librispeech/asr2/conf/transformer.yaml
@@ -31,7 +31,7 @@ model:
     model_conf:
         ctc_weight: 0.3
         ctc_dropoutrate: 0.0
-        ctc_grad_norm_type: batch
+        ctc_grad_norm_type: null 
         lsm_weight: 0.1     # label smoothing option
         length_normalized_loss: false
 
diff --git a/examples/tiny/asr1/conf/chunk_confermer.yaml b/examples/tiny/asr1/conf/chunk_confermer.yaml
index 6183a903bde34783a15dc58d9c3f5ce47b3553d7..728a82e3c8377b4a401dc5f4eb89820faa988df3 100644
--- a/examples/tiny/asr1/conf/chunk_confermer.yaml
+++ b/examples/tiny/asr1/conf/chunk_confermer.yaml
@@ -14,7 +14,7 @@ collator:
   mean_std_filepath: ""
   vocab_filepath: data/lang_char/vocab.txt 
   unit_type: 'spm'
-  spm_model_prefix: 'data/bpe_unigram_200'
+  spm_model_prefix: 'data/lang_char/bpe_unigram_200'
   augmentation_config: conf/preprocess.yaml
   batch_size: 4
   raw_wav: True  # use raw_wav or kaldi feature
diff --git a/examples/tiny/asr1/conf/chunk_transformer.yaml b/examples/tiny/asr1/conf/chunk_transformer.yaml
index 01d383fb82d01ceb424d1dad3d48a6c401e1ce82..7c927122b30ad3728d19bbc158c2d09c0d6d3873 100644
--- a/examples/tiny/asr1/conf/chunk_transformer.yaml
+++ b/examples/tiny/asr1/conf/chunk_transformer.yaml
@@ -14,7 +14,7 @@ collator:
   mean_std_filepath: ""
   vocab_filepath: data/lang_char/vocab.txt 
   unit_type: 'spm'
-  spm_model_prefix: 'data/bpe_unigram_200'
+  spm_model_prefix: 'data/lang_char/bpe_unigram_200'
   augmentation_config: conf/preprocess.yaml
   batch_size: 4
   raw_wav: True  # use raw_wav or kaldi feature
diff --git a/examples/tiny/asr1/conf/conformer.yaml b/examples/tiny/asr1/conf/conformer.yaml
index a3fee6901df062e04e91f54f478910ef5c716a93..21cc112862438b46477895b4ad98e58ef075bdd8 100644
--- a/examples/tiny/asr1/conf/conformer.yaml
+++ b/examples/tiny/asr1/conf/conformer.yaml
@@ -14,7 +14,7 @@ collator:
   mean_std_filepath: ""
   vocab_filepath: data/lang_char/vocab.txt 
   unit_type: 'spm'
-  spm_model_prefix: 'data/bpe_unigram_200'
+  spm_model_prefix: 'data/lang_char/bpe_unigram_200'
   augmentation_config: conf/preprocess.yaml
   batch_size: 4
   raw_wav: True  # use raw_wav or kaldi feature
diff --git a/examples/tiny/asr1/conf/transformer.yaml b/examples/tiny/asr1/conf/transformer.yaml
index 5a87d6d245a36e30f50ced4c7777ff90ef1c9f28..f4645c681b8ba637ee9a9ca738d570321d81173e 100644
--- a/examples/tiny/asr1/conf/transformer.yaml
+++ b/examples/tiny/asr1/conf/transformer.yaml
@@ -14,7 +14,7 @@ collator:
   mean_std_filepath: data/mean_std.json
   vocab_filepath: data/lang_char/vocab.txt 
   unit_type: 'spm'
-  spm_model_prefix: 'data/bpe_unigram_200'
+  spm_model_prefix: 'data/lang_char/bpe_unigram_200'
   augmentation_config: conf/preprocess.yaml
   batch_size: 4
   raw_wav: True  # use raw_wav or kaldi feature
diff --git a/utils/pack_model.sh b/utils/pack_model.sh
index d7df01eb71326f19ba1e8acc3adb7672df4d28b3..fe6ab51bca877ac2f8c3691b981e5eec31f7bbb4 100755
--- a/utils/pack_model.sh
+++ b/utils/pack_model.sh
@@ -82,12 +82,12 @@ if [ -e ${e2e} ]; then
 
     e2e_conf=$(dirname ${e2e})/model.json
     if [ ! -e ${e2e_conf} ]; then
-	echo missing ${e2e_conf}
-	#exit 1
+	    echo missing ${e2e_conf}
+	    #exit 1
     else
-	echo -n "    - e2e JSON file: \`"
-	echo ${e2e_conf} | sed -e "s/$/\`/"
-	tar rfh ${outfile}.tar ${e2e_conf}
+	    echo -n "    - e2e JSON file: \`"
+	    echo ${e2e_conf} | sed -e "s/$/\`/"
+	    tar rfh ${outfile}.tar ${e2e_conf}
     fi
 else
     echo "missing ${e2e}"
@@ -104,7 +104,7 @@ if [ -n "${lm}" ]; then
 	lm_conf=$(dirname ${lm})/model.json
 	if [ ! -e ${lm_conf} ]; then
 	    echo missing ${lm_conf}
-	    exit 1
+	    #exit 1
 	else
 	    echo -n "    - lm JSON file: \`"
 	    echo ${lm_conf} | sed -e "s/$/\`/"