diff --git a/cnn_benchmark/config.py b/Classification/resnet50v1.5/config.py
similarity index 100%
rename from cnn_benchmark/config.py
rename to Classification/resnet50v1.5/config.py
diff --git a/cnn_benchmark/job_function_util.py b/Classification/resnet50v1.5/job_function_util.py
similarity index 100%
rename from cnn_benchmark/job_function_util.py
rename to Classification/resnet50v1.5/job_function_util.py
diff --git a/cnn_benchmark/of_cnn_train_val.py b/Classification/resnet50v1.5/of_cnn_train_val.py
similarity index 100%
rename from cnn_benchmark/of_cnn_train_val.py
rename to Classification/resnet50v1.5/of_cnn_train_val.py
diff --git a/cnn_benchmark/of_cnn_val.py b/Classification/resnet50v1.5/of_cnn_val.py
similarity index 100%
rename from cnn_benchmark/of_cnn_val.py
rename to Classification/resnet50v1.5/of_cnn_val.py
diff --git a/cnn_benchmark/ofrecord_util.py b/Classification/resnet50v1.5/ofrecord_util.py
similarity index 100%
rename from cnn_benchmark/ofrecord_util.py
rename to Classification/resnet50v1.5/ofrecord_util.py
diff --git a/cnn_benchmark/optimizer_util.py b/Classification/resnet50v1.5/optimizer_util.py
similarity index 100%
rename from cnn_benchmark/optimizer_util.py
rename to Classification/resnet50v1.5/optimizer_util.py
diff --git a/cnn_benchmark/resnet_model.py b/Classification/resnet50v1.5/resnet_model.py
similarity index 100%
rename from cnn_benchmark/resnet_model.py
rename to Classification/resnet50v1.5/resnet_model.py
diff --git a/Classification/resnet50v1.5/train.sh b/Classification/resnet50v1.5/train.sh
new file mode 100755
index 0000000000000000000000000000000000000000..38c627203e27c319afc089b6764741a9a092bbf6
--- /dev/null
+++ b/Classification/resnet50v1.5/train.sh
@@ -0,0 +1,20 @@
+export ENABLE_USER_OP=True
+rm -rf core.* 
+rm -rf ./output/snapshots/*
+
+DATA_ROOT=/dataset/ImageNet/ofrecord
+
+python3 of_cnn_train_val.py \
+    --train_data_dir=$DATA_ROOT/train \
+    --train_data_part_num=256 \
+    --val_data_dir=$DATA_ROOT/validation \
+    --val_data_part_num=256 \
+    --num_nodes=1 \
+    --gpu_num_per_node=4 \
+    --model_update="momentum" \
+    --learning_rate=0.256 \
+    --loss_print_every_n_iter=20 \
+    --batch_size_per_device=64 \
+    --val_batch_size_per_device=125 \
+    --num_epoch=90 \
+    --model="resnet50" 
\ No newline at end of file
diff --git a/cnn_benchmark/util.py b/Classification/resnet50v1.5/util.py
similarity index 100%
rename from cnn_benchmark/util.py
rename to Classification/resnet50v1.5/util.py
diff --git a/run_cnn_train.sh b/run_cnn_train.sh
deleted file mode 100755
index e5c8c6f12959e842fd4acfb4742a8c3e7fa281c1..0000000000000000000000000000000000000000
--- a/run_cnn_train.sh
+++ /dev/null
@@ -1,29 +0,0 @@
-export ENABLE_USER_OP=True
-rm -rf core.* 
-rm -rf ./output/snapshots/*
-
-# DATA_ROOT=/dataset/ImageNet/ofrecord
-
-python3 cnn_benchmark/of_cnn_train_val.py \
-    --train_data_part_num=256 \
-    --val_data_part_num=256 \
-    --num_nodes=1 \
-    --gpu_num_per_node=1 \
-    --model_update="momentum" \
-    --mom=0.875 \
-    --learning_rate=0.256 \
-    --loss_print_every_n_iter=1 \
-    --batch_size_per_device=8 \
-    --val_batch_size_per_device=8 \
-    --num_epoch=90 \
-    --use_fp16=false \
-    --use_boxing_v2=true \
-    --model="resnet50" 
-
-    # --node_ips='11.11.1.12,11.11.1.14' \
-    # --model_load_dir=/DATA/disk1/mx_imagenet/of_mx_mixed_init_model \
-    # --train_data_dir=$DATA_ROOT/train \
-    # --train_data_part_num=256 \
-    # --val_data_dir=$DATA_ROOT/validation \
-    # --val_data_part_num=256 \
-    #--num_examples=1024 \