帮我写一段yolov5中添加CBAM的yaml文件

当您在YoloV5中添加CBAM时，可以将其添加到网络架构的yaml文件中。以下是一个示例yaml文件，其中包括CBAM块：

# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
# CBAM added by [Your Name]

# parameters
nc: 80  # number of classes
depth_multiple: 1.0  # model depth multiple
width_multiple: 1.0  # layer channel multiple

# anchors
anchors:
  # anchor mask, anchor list
  - [6, 7, 8, 9, 10, 11]
  - [0, 1, 2, 3, 4, 5]

# backbone
backbone:
  # layer list, layer channels, stride
  [[-1, 16, 1],  # 0
   [-1, 32, 2],  # 1
   [-1, 32, 1],  # 2
   [-1, 64, 2],  # 3
   [-1, 64, 1],  # 4
   [-1, 128, 2],  # 5
   [-1, 128, 1],  # 6
   [-1, 256, 2],  # 7
   [-1, 256, 1],  # 8
   [-1, 512, 2],  # 9
   [-1, 512, 1],  # 10
   [-1, 1024, 2],  # 11
   [-1, 1024, 1]]  # 12

# neck
neck:
  # layer list, layer channels
  [[-1, 256, -1, []],  # 0
   [-1, 512, -1, []],  # 1
   [-1, 1024, -1, []],  # 2
   [-1, 512, -1, []],  # 3
   [-1, 256, -1, []]]  # 4

# head
head:
  # layer list, layer channels, anchors
  [[-1, 512, 1, [[10, 13], [16, 30], [33, 23]]],  # 0
   [-1, 1024, 1, [[30, 61], [62, 45], [59, 119]]],  # 1
   [-1, 512, 1, [[116, 90], [156, 198], [373, 326]]],  # 2
   [-1, 256, 1, [[30, 23], [50, 34], [72, 52]]],  # 3
   [-1, 256, 1, [[10, 10], [14, 15], [20, 25]]],  # 4
   [-1, 256, 1, [[5, 3], [7, 4], [10, 6]]]]  # 5

# CBAM block
cbam:
  # layer index
  [3, 5, 7, 9, 11]

# loss
loss:
  cls: CrossEntropyLoss
  box: SmoothL1Loss
  iou: GIoULoss
  obj: CrossEntropyLoss
  aux: CrossEntropyLoss

# training
train:
  # dataset, batch_size, epochs, lr0, momentum, decay
  dataset: coco128.yaml
  batch_size: 64
  epochs: 300
  lr0: 0.01
  momentum: 0.937
  decay: 0.0005

在此示例中，CBAM块被添加到了网络的第3、5、7、9和11个层。您可以根据需要更改CBAM块的位置。