diff --git a/model_zoo/official/cv/FCN8s/README.md b/model_zoo/official/cv/FCN8s/README.md
index 689c1cee9c..597bc3865c 100644
--- a/model_zoo/official/cv/FCN8s/README.md
+++ b/model_zoo/official/cv/FCN8s/README.md
@@ -73,6 +73,7 @@ Dataset used:
         ├── README.md                 // descriptions about FCN
         ├── scripts
             ├── run_train.sh
+            ├── run_standalone_train.sh
             ├── run_eval.sh
             ├── build_data.sh
         ├── src
@@ -114,13 +115,13 @@ Dataset used:
 
     # model
     'model': 'FCN8s',
-    'ckpt_vgg16': '/data/workspace/mindspore_dataset/FCN/FCN/model/0-150_5004.ckpt',
-    'ckpt_pre_trained': '/data/workspace/mindspore_dataset/FCN/FCN/model_new/FCN8s-500_82.ckpt',
+    'ckpt_vgg16': '',
+    'ckpt_pre_trained': '',
 
     # train
     'save_steps': 330,
-    'keep_checkpoint_max': 500,
-    'train_dir': '/data/workspace/mindspore_dataset/FCN/FCN/model_new/',
+    'keep_checkpoint_max': 5,
+    'ckpt_dir': './ckpt',
   ```
 
 如需获取更多信息，请查看`config.py`.
@@ -281,7 +282,7 @@ Dataset used:
   if args.rank == 0:
       config_ck = CheckpointConfig(save_checkpoint_steps=cfg.save_steps,
                                    keep_checkpoint_max=cfg.keep_checkpoint_max)
-      ckpoint_cb = ModelCheckpoint(prefix=cfg.model, directory=cfg.train_dir, config=config_ck)
+      ckpoint_cb = ModelCheckpoint(prefix=cfg.model, directory=cfg.ckpt_dir, config=config_ck)
       cbs.append(ckpoint_cb)
 
   model.train(cfg.train_epochs, dataset, callbacks=cbs)
diff --git a/model_zoo/official/cv/FCN8s/scripts/run_standalone_train.sh b/model_zoo/official/cv/FCN8s/scripts/run_standalone_train.sh
new file mode 100644
index 0000000000..2c15f97a9f
--- /dev/null
+++ b/model_zoo/official/cv/FCN8s/scripts/run_standalone_train.sh
@@ -0,0 +1,38 @@
+#!/bin/bash
+# Copyright 2021 Huawei Technologies Co., Ltd
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ============================================================================
+
+if [ $# != 1 ]
+then
+    echo "Usage: sh run_standalone_train.sh [device_num]"
+exit 1
+fi
+
+
+export DEVICE_ID=$1
+train_path=train_standalone${DEVICE_ID}
+
+if [ -d ${train_path} ]; then
+  rm -rf ${train_path}
+fi
+mkdir -p ${train_path}
+cp -r ./src ${train_path}
+cp ./train.py ${train_path}
+
+echo "start training for device $DEVICE_ID"
+
+cd ${train_path}|| exit
+python train.py --device_id=${DEVICE_ID} > log 2>&1 &
+cd ..
diff --git a/model_zoo/official/cv/FCN8s/src/config.py b/model_zoo/official/cv/FCN8s/src/config.py
index 00f1ced5ad..0dcc60cd35 100644
--- a/model_zoo/official/cv/FCN8s/src/config.py
+++ b/model_zoo/official/cv/FCN8s/src/config.py
@@ -38,11 +38,11 @@ FCN8s_VOC2012_cfg = edict({
 
     # model
     'model': 'FCN8s',
-    'ckpt_vgg16': '/data/workspace/mindspore_dataset/FCN/FCN/model/0-150_5004.ckpt',
-    'ckpt_pre_trained': '/data/workspace/mindspore_dataset/FCN/FCN/model_new/FCN8s-500_82.ckpt',
+    'ckpt_vgg16': '',
+    'ckpt_pre_trained': '',
 
     # train
     'save_steps': 330,
-    'keep_checkpoint_max': 500,
-    'train_dir': '/data/workspace/mindspore_dataset/FCN/FCN/model_new/',
+    'keep_checkpoint_max': 5,
+    'ckpt_dir': './ckpt',
 })
diff --git a/model_zoo/official/cv/FCN8s/train.py b/model_zoo/official/cv/FCN8s/train.py
index 4315be3856..b3dad24a90 100644
--- a/model_zoo/official/cv/FCN8s/train.py
+++ b/model_zoo/official/cv/FCN8s/train.py
@@ -128,7 +128,7 @@ def train():
     if args.rank == 0:
         config_ck = CheckpointConfig(save_checkpoint_steps=cfg.save_steps,
                                      keep_checkpoint_max=cfg.keep_checkpoint_max)
-        ckpoint_cb = ModelCheckpoint(prefix=cfg.model, directory=cfg.train_dir, config=config_ck)
+        ckpoint_cb = ModelCheckpoint(prefix=cfg.model, directory=cfg.ckpt_dir, config=config_ck)
         cbs.append(ckpoint_cb)
 
     model.train(cfg.train_epochs, dataset, callbacks=cbs)