OCRv4_det_cml 检测指标较低

[swandxmr]

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🐛 Bug (问题描述)

使用的是相同的数据集，在使用配置文件ch_PP-OCRv4_det_student.yml及ch_PP-OCRv4_det_teacher.yml训练效果都很好，指标可达到：precision: 1, recall:1。 但使用ch_PP-OCRv4_det_cml.yml训练时，同样是100个epoch,指标只能达到precision: 0.6726190476190477, recall: 0.4064748201438849。对ch_PP-OCRv4_det_cml.yml进行了learning_rate调整，影响并不大。请问该如何调整参数。

🏃‍♂️ Environment (运行环境)

Python 3.10
cuda 11.2
Paddle 2.6.1
PaddleOCR v2.8.1

🌰 Minimal Reproducible Example (最小可复现问题的Demo)

python tools/train.py -c configs/det/ch_PP-OCRv4/ch_PP-OCRv4_det_cml.yml

配置文件：

Global:
  debug: false
  use_gpu: true
  epoch_num: 100
  log_smooth_window: 20
  print_batch_step: 20
  save_model_dir: ./output/ch_PP-OCRv4/cml_test
  save_epoch_step: 5
  eval_batch_step:
  - 0
  - 100
  cal_metric_during_train: false
  checkpoints: null
  pretrained_model: null
  save_inference_dir: null
  use_visualdl: false
  infer_img: doc/imgs_en/img_10.jpg
  save_res_path: ./checkpoints/det_db/predicts_db_cml.txt
  distributed: true
Architecture:
  name: DistillationModel # 蒸馏模型
  algorithm: Distillation # 蒸馏算法
  model_type: det
  Models:
    Student:
      model_type: det
      algorithm: DB
      Transform: null
      Backbone:
        name: PPLCNetV3
        scale: 0.75
        pretrained: false
        det: true
      Neck:
        name: RSEFPN
        out_channels: 96
        shortcut: true
      Head:
        name: DBHead
        k: 50
    Student2:
      pretrained: null
      model_type: det
      algorithm: DB
      Transform: null
      Backbone:
        name: PPLCNetV3
        scale: 0.75
        pretrained: true
        det: true
      Neck:
        name: RSEFPN
        out_channels: 96
        shortcut: true
      Head:
        name: DBHead
        k: 50
    Teacher:
      pretrained: https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_det_cml_teacher_pretrained/teacher.pdparams
      freeze_params: true
      return_all_feats: false
      model_type: det
      algorithm: DB
      Backbone:
        name: ResNet_vd
        in_channels: 3
        layers: 50
      Neck:
        name: LKPAN
        out_channels: 256
      Head:
        name: DBHead
        kernel_list:
        - 7
        - 2
        - 2
        k: 50
Loss:
  name: CombinedLoss
  loss_config_list:
  - DistillationDilaDBLoss:
      weight: 1.0
      model_name_pairs:
      - - Student
        - Teacher
      - - Student2
        - Teacher
      key: maps
      balance_loss: true
      main_loss_type: DiceLoss
      alpha: 5
      beta: 10
      ohem_ratio: 3
  - DistillationDMLLoss:
      model_name_pairs:
      - Student
      - Student2
      maps_name: thrink_maps
      weight: 1.0
      key: maps
  - DistillationDBLoss:
      weight: 1.0
      model_name_list:
      - Student
      - Student2
      balance_loss: true
      main_loss_type: DiceLoss
      alpha: 5
      beta: 10
      ohem_ratio: 3
Optimizer:
  name: Adam
  beta1: 0.9
  beta2: 0.999
  lr:
    name: Cosine
    learning_rate: 0.001
    warmup_epoch: 2
  regularizer:
    name: L2
    factor: 5.0e-05
PostProcess:
  name: DistillationDBPostProcess
  model_name:
  - Student
  key: head_out
  thresh: 0.3
  box_thresh: 0.6
  max_candidates: 1000
  unclip_ratio: 1.5
Metric:
  name: DistillationMetric
  base_metric_name: DetMetric
  main_indicator: hmean
  key: Student
Train:
  dataset:
    name: SimpleDataSet
    data_dir: /home/restful_space/datasets/D1720577103
    label_file_list:
      - /home/restful_space/datasets/D1720577103/train_list.txt
    ratio_list: [1.0]
    transforms:
    - DecodeImage:
        img_mode: BGR
        channel_first: false
    - DetLabelEncode: null
    - IaaAugment:
        augmenter_args:
        - type: Fliplr
          args:
            p: 0.5
        - type: Affine
          args:
            rotate:
            - -10
            - 10
        - type: Resize
          args:
            size:
            - 0.5
            - 3
    - EastRandomCropData:
        size:
        - 640
        - 640
        max_tries: 50
        keep_ratio: true
    - MakeBorderMap:
        shrink_ratio: 0.4
        thresh_min: 0.3
        thresh_max: 0.7
        total_epoch: 500
    - MakeShrinkMap:
        shrink_ratio: 0.4
        min_text_size: 8
        total_epoch: 500
    - NormalizeImage:
        scale: 1./255.
        mean:
        - 0.485
        - 0.456
        - 0.406
        std:
        - 0.229
        - 0.224
        - 0.225
        order: hwc
    - ToCHWImage: null
    - KeepKeys:
        keep_keys:
        - image
        - threshold_map
        - threshold_mask
        - shrink_map
        - shrink_mask
  loader:
    shuffle: true
    drop_last: false
    batch_size_per_card: 2
    num_workers: 8
Eval:
  dataset:
    name: SimpleDataSet
    data_dir: /home/restful_space/datasets/D1720577103
    label_file_list:
      - /home/restful_space/datasets/D1720577103/val_list.txt
    transforms:
    - DecodeImage:
        img_mode: BGR
        channel_first: false
    - DetLabelEncode: null
    - DetResizeForTest: null
        # limit_side_len: 960
        # limit_type: max
    - NormalizeImage:
        scale: 1./255.
        mean:
        - 0.485
        - 0.456
        - 0.406
        std:
        - 0.229
        - 0.224
        - 0.225
        order: hwc
    - ToCHWImage: null
    - KeepKeys:
        keep_keys:
        - image
        - shape
        - polys
        - ignore_tags
  loader:
    shuffle: false
    drop_last: false
    batch_size_per_card: 1
    num_workers: 2
profiler_options: null

[swandxmr]

补充训练日志于附件。
cml_train.log