diff --git a/deploy/auto_compression/configs/yolov5_s_qat_dis.yml b/deploy/auto_compression/configs/yolov5_s_qat_dis.yml
index 60b98d948dc64657054507972b1b979179f0a1ba..7111e27d4062900b949bd93123a785f847be585f 100644
--- a/deploy/auto_compression/configs/yolov5_s_qat_dis.yml
+++ b/deploy/auto_compression/configs/yolov5_s_qat_dis.yml
@@ -20,13 +20,11 @@ Quantization:
   - depthwise_conv2d
 
 TrainConfig:
-  train_iter: 5000
+  train_iter: 3000
   eval_iter: 1000
-  learning_rate:
-    type: CosineAnnealingDecay
-    learning_rate: 0.00003
-    T_max: 6000
+  learning_rate: 0.00001
   optimizer_builder:
     optimizer:
       type: SGD
     weight_decay: 4.0e-05
+  target_metric: 0.365
diff --git a/deploy/auto_compression/configs/yolov6mt_reader.yml b/deploy/auto_compression/configs/yolov6mt_reader.yml
deleted file mode 100644
index 9832845b20024f5d1ac4273aa15f6b48539de7ef..0000000000000000000000000000000000000000
--- a/deploy/auto_compression/configs/yolov6mt_reader.yml
+++ /dev/null
@@ -1,26 +0,0 @@
-metric: COCO
-num_classes: 80
-
-# Datset configuration
-TrainDataset:
-  !COCODataSet
-    image_dir: train2017
-    anno_path: annotations/instances_train2017.json
-    dataset_dir: dataset/coco/
-
-EvalDataset:
-  !COCODataSet
-    image_dir: val2017
-    anno_path: annotations/instances_val2017.json
-    dataset_dir: dataset/coco/
-
-worker_num: 0
-
-# preprocess reader in test
-EvalReader:
-  sample_transforms:
-    - Decode: {}
-    - Resize: {target_size:  [640, 640], keep_ratio: True, interp: 1}
-    - Pad: {size:  [640, 640], fill_value: [114., 114., 114.]}
-    - Permute: {}
-  batch_size: 1
diff --git a/deploy/auto_compression/configs/yolov6mt_s_qat_dis.yaml b/deploy/auto_compression/configs/yolov6mt_s_qat_dis.yaml
index 12ab5b87d7b27f8e35019e6260fdd8d61c34f5fd..35a86ad21b1a239ca456e698a367ef974357f56e 100644
--- a/deploy/auto_compression/configs/yolov6mt_s_qat_dis.yaml
+++ b/deploy/auto_compression/configs/yolov6mt_s_qat_dis.yaml
@@ -1,6 +1,6 @@
 
 Global:
-  reader_config: configs/yolov6mt_reader.yml
+  reader_config: configs/yolov5_reader.yml
   input_list: ['image', 'scale_factor']
   arch: YOLO
   Evaluation: True
@@ -13,21 +13,19 @@ Distillation:
   loss: soft_label
 
 Quantization:
-  use_pact: true
   activation_quantize_type: 'moving_average_abs_max'
   quantize_op_types:
   - conv2d
   - depthwise_conv2d
 
 TrainConfig:
-  train_iter: 5000
+  train_iter: 8000
   eval_iter: 1000
-  learning_rate:  
-    type: CosineAnnealingDecay
+  learning_rate: 
+    type: CosineAnnealingDecay 
     learning_rate: 0.00003
-    T_max: 6000
+    T_max: 8000
   optimizer_builder:
-    optimizer: 
+    optimizer:
       type: SGD
-    weight_decay: 4.0e-05
-
+    weight_decay: 0.00004
diff --git a/deploy/auto_compression/configs/yolov7_l_qat_dis.yaml b/deploy/auto_compression/configs/yolov7_l_qat_dis.yaml
index 408dfd47bb5594d1229f25a0eae2e1722616f0ca..d233d6e76732f516efd1bcd7dab6c10807c10647 100644
--- a/deploy/auto_compression/configs/yolov7_l_qat_dis.yaml
+++ b/deploy/auto_compression/configs/yolov7_l_qat_dis.yaml
@@ -1,6 +1,6 @@
 
 Global:
-  reader_config: configs/yolov7_reader.yml
+  reader_config: configs/yolov5_reader.yml
   input_list: ['image', 'scale_factor']
   arch: YOLO
   Evaluation: True
@@ -13,21 +13,19 @@ Distillation:
   loss: soft_label
 
 Quantization:
-  use_pact: true
   activation_quantize_type: 'moving_average_abs_max'
   quantize_op_types:
   - conv2d
   - depthwise_conv2d
 
 TrainConfig:
-  train_iter: 5000
+  train_iter: 8000
   eval_iter: 1000
-  learning_rate:  
-    type: CosineAnnealingDecay
+  learning_rate: 
+    type: CosineAnnealingDecay 
     learning_rate: 0.00003
-    T_max: 6000
+    T_max: 8000
   optimizer_builder:
-    optimizer: 
+    optimizer:
       type: SGD
-    weight_decay: 4.0e-05
-
+    weight_decay: 0.00004
\ No newline at end of file
diff --git a/deploy/auto_compression/configs/yolov7_reader.yml b/deploy/auto_compression/configs/yolov7_reader.yml
deleted file mode 100644
index 9832845b20024f5d1ac4273aa15f6b48539de7ef..0000000000000000000000000000000000000000
--- a/deploy/auto_compression/configs/yolov7_reader.yml
+++ /dev/null
@@ -1,26 +0,0 @@
-metric: COCO
-num_classes: 80
-
-# Datset configuration
-TrainDataset:
-  !COCODataSet
-    image_dir: train2017
-    anno_path: annotations/instances_train2017.json
-    dataset_dir: dataset/coco/
-
-EvalDataset:
-  !COCODataSet
-    image_dir: val2017
-    anno_path: annotations/instances_val2017.json
-    dataset_dir: dataset/coco/
-
-worker_num: 0
-
-# preprocess reader in test
-EvalReader:
-  sample_transforms:
-    - Decode: {}
-    - Resize: {target_size:  [640, 640], keep_ratio: True, interp: 1}
-    - Pad: {size:  [640, 640], fill_value: [114., 114., 114.]}
-    - Permute: {}
-  batch_size: 1
diff --git a/deploy/auto_compression/configs/yolox_reader.yml b/deploy/auto_compression/configs/yolox_reader.yml
deleted file mode 100644
index 6ad321a04d12f822e98facd179d9d72b0d8aa741..0000000000000000000000000000000000000000
--- a/deploy/auto_compression/configs/yolox_reader.yml
+++ /dev/null
@@ -1,26 +0,0 @@
-metric: COCO
-num_classes: 80
-
-# Datset configuration
-TrainDataset:
-  !COCODataSet
-    image_dir: train2017
-    anno_path: annotations/instances_train2017.json
-    dataset_dir: dataset/coco/
-
-EvalDataset:
-  !COCODataSet
-    image_dir: val2017
-    anno_path: annotations/instances_val2017.json
-    dataset_dir: dataset/coco/
-
-worker_num: 0
-
-# preprocess reader in test
-TestReader:
-  sample_transforms:
-    - Decode: {}
-    - Resize: {target_size: [640, 640], keep_ratio: True, interp: 1}
-    - Pad: {size: [640, 640], fill_value: [114., 114., 114.]}
-    - Permute: {}
-  batch_size: 1
diff --git a/deploy/auto_compression/configs/yolox_s_qat_dis.yaml b/deploy/auto_compression/configs/yolox_s_qat_dis.yaml
deleted file mode 100644
index 6f5d97194f416c34d99a88bdf97c077d8833cad8..0000000000000000000000000000000000000000
--- a/deploy/auto_compression/configs/yolox_s_qat_dis.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-
-Global:
-  reader_config: configs/yolox_reader.yml
-  input_list: ['image', 'scale_factor']
-  arch: YOLO
-  Evaluation: True
-  model_dir: ./yolox_s_300e_coco
-  model_filename: model.pdmodel
-  params_filename: model.pdiparams
-
-Distillation:
-  alpha: 1.0
-  loss: soft_label
-
-Quantization:
-  use_pact: true
-  activation_quantize_type: 'moving_average_abs_max'
-  quantize_op_types:
-  - conv2d
-  - depthwise_conv2d
-
-TrainConfig:
-  train_iter: 5000
-  eval_iter: 1000
-  learning_rate:  
-    type: CosineAnnealingDecay
-    learning_rate: 0.00003
-    T_max: 6000
-  optimizer_builder:
-    optimizer: 
-      type: SGD
-    weight_decay: 4.0e-05
-