diff --git a/.compute b/.compute
index 71c4d0c1..c4bf43c9 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.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}/best_model.pth.tar
+python3 distribute.py --config_path config_cluster.json  --data_path ${SHARED_DIR}/data/Blizzard/Nancy/
diff --git a/config_cluster.json b/config_cluster.json
index e12111be..d707b929 100644
--- a/config_cluster.json
+++ b/config_cluster.json
@@ -46,7 +46,7 @@
     "save_step": 1000,      // Number of training steps expected to save traning stats and checkpoints.
     "print_step": 10,       // Number of steps to log traning on console.
     "tb_model_param_stats": false,     // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging. 
-    "batch_group_size": 8,  //Number of batches to shuffle after bucketing.
+    "batch_group_size": 4,  //Number of batches to shuffle after bucketing.
 
     "run_eval": true,
     "test_delay_epochs": 100,  //Until attention is aligned, testing only wastes computation time.