diff --git a/semi_seg/dsutils.py b/semi_seg/dsutils.py
index 36fd7c9a..0cd2d343 100644
--- a/semi_seg/dsutils.py
+++ b/semi_seg/dsutils.py
@@ -38,7 +38,7 @@ def get_dataloaders(config, group_val_patient=True):
                      f"given {labeled_data_ratio} and {unlabeled_data_ratio}")
     data_manager = datainterface(root_dir=DATA_PATH, labeled_data_ratio=labeled_data_ratio,
                                  unlabeled_data_ratio=unlabeled_data_ratio, verbose=False,
-                                 seed=0 if dataset_name == "acdc" else 10)# avoid bad random seed for prostate
+                                 seed=0 if dataset_name == "acdc" else 10)  # avoid bad random seed for prostate
 
     label_set, unlabel_set, val_set = data_manager._create_semi_supervised_datasets(  # noqa
         labeled_transform=augmentinferface.pretrain,
diff --git a/semi_seg/scripts/run_infonce_pretrain.py b/semi_seg/scripts/run_infonce_pretrain.py
index 4844e54d..535bacfb 100644
--- a/semi_seg/scripts/run_infonce_pretrain.py
+++ b/semi_seg/scripts/run_infonce_pretrain.py
@@ -2,7 +2,7 @@
 
 from deepclustering2.cchelper import JobSubmiter
 from deepclustering2.utils import gethash
-
+import time
 from semi_seg.scripts.helper import dataset_name2class_numbers, ft_lr_zooms, BindPretrainFinetune, BindContrastive, \
     BindSelfPaced, accounts
 
@@ -135,6 +135,7 @@ def get_loss_str(begin_value, end_value):
 job_submiter = JobSubmiter(project_path="../", on_local=args.on_local, time=args.time, )
 
 for j in job_array:
+    time.sleep(0.5)
     job_submiter.prepare_env(
         [
             f"source ~/venv/bin/activate ",
diff --git a/semi_seg/scripts/run_infonce_semi.py b/semi_seg/scripts/run_infonce_semi.py
index 3561e385..65280ed3 100644
--- a/semi_seg/scripts/run_infonce_semi.py
+++ b/semi_seg/scripts/run_infonce_semi.py
@@ -1,6 +1,7 @@
 # this script gives the checkpoint and perform semi-supervised learning accordingly.
 # involving 1 patient, 2 patient, 4 patient for ACDC dataset.
 import argparse
+import time
 
 from deepclustering2.cchelper import JobSubmiter
 from deepclustering2.utils import load_yaml
@@ -134,6 +135,7 @@ def parse_contrastive_args_from_path(config_path):
 job_submiter = JobSubmiter(project_path="../", on_local=args.on_local, time=args.time, )
 
 for j in job_array:
+    time.sleep(0.5)
     job_submiter.prepare_env(
         [
             f"source ~/venv/bin/activate ",
diff --git a/semi_seg/transfer.sh b/semi_seg/transfer.sh
index 3d3dc210..881434c8 100644
--- a/semi_seg/transfer.sh
+++ b/semi_seg/transfer.sh
@@ -9,7 +9,7 @@ local_folder=./runs
 #  root@jizong.buzz:/root/main/runs/0402_semi/ \
 #  "${local_folder}/0402_semi_acdc/"
 
-rsync -azP --exclude "*/*.png"  --exclude "*/tra/*/*.pth" \
+rsync -azP --exclude "*/*.png"  --exclude "*/tra/*/*.pth" --exclude "*/*.pth" \
   --exclude "*/patient*"  \
   root@jizong.buzz:/root/main/runs/0416_prostate \
   "${local_folder}"