diff --git a/.compute b/.compute
index 7978efd3..6b54f612 100644
--- a/.compute
+++ b/.compute
@@ -3,5 +3,5 @@ ls ${SHARED_DIR}/data/
 pip3 install https://download.pytorch.org/whl/cu100/torch-1.0.1.post2-cp36-cp36m-linux_x86_64.whl
 yes | apt-get install espeak 
 python3 setup.py develop
-python3 distribute.py --config_path config_cluster.json  --data_path ${SHARED_DIR}/data/Blizzard/Nancy/  --restore_path ${USER_DIR}/best_model_4258.pth.tar
-# python3 distribute.py --config_path config_cluster.json  --data_path ${SHARED_DIR}/data/Blizzard/Nancy/
+python3 distribute.py --config_path config_cluster.json  --data_path ${SHARED_DIR}/data/Blizzard/Nancy/  --restore_path ${USER_DIR}/checkpoint_187000_4378.pth.tar
+# python3 distribute.py --config_path config_cluster.json  --data_path ${SHARED_DIR}/data/Blizzard/Nancy/
\ No newline at end of file
diff --git a/config_cluster.json b/config_cluster.json
index d810a6a3..4d330bd5 100644
--- a/config_cluster.json
+++ b/config_cluster.json
@@ -1,6 +1,6 @@
 {
     "run_name": "nancy-bn",
-    "run_description": "Nancy tacotron2 from scratch BN",
+    "run_description": "Finetune 4378. No ending character ^.",
 
     "audio":{
         // Audio processing parameters
diff --git a/utils/text/__init__.py b/utils/text/__init__.py
index 464a7ac9..6d513cc5 100644
--- a/utils/text/__init__.py
+++ b/utils/text/__init__.py
@@ -44,7 +44,8 @@ def phoneme_to_sequence(text, cleaner_names, language):
     '''
     TODO: This ignores punctuations
     '''
-    sequence = [_phonemes_to_id['^']]
+    # sequence = [_phonemes_to_id['^']]
+    sequence = []
     clean_text = _clean_text(text, cleaner_names)
     phonemes = text2phone(clean_text, language)
 #     print(phonemes.replace('|', ''))
@@ -81,7 +82,7 @@ def text_to_sequence(text, cleaner_names):
         List of integers corresponding to the symbols in the text
     '''
     sequence = []
-    sequence = [_phonemes_to_id['^']]
+    # sequence = [_phonemes_to_id['^']]
     # Check for curly braces and treat their contents as ARPAbet:
     while len(text):
         m = _curly_re.match(text)