diff --git a/config/ch_PP-OCRv4_rec_hgnet.yml b/config/ch_PP-OCRv4_rec_hgnet.yml
deleted file mode 100644
index f1d55a616d0e24a7b616adf1fa2c5caa3990f5eb..0000000000000000000000000000000000000000
--- a/config/ch_PP-OCRv4_rec_hgnet.yml
+++ /dev/null
@@ -1,143 +0,0 @@
-Global:
-  debug: false
-  use_gpu: true
-  epoch_num: 200
-  log_smooth_window: 20
-  print_batch_step: 246
-  save_model_dir: ./output/rec_ppocr_v4_hgnet
-  save_epoch_step: 500
-  eval_batch_step: [0, 492]
-  cal_metric_during_train: true
-  pretrained_model: ./pretrain_models/ch_PP-OCRv4_rec_server_train/best_accuracy.pdparams
-  checkpoints:
-  save_inference_dir:
-  use_visualdl: false
-  use_wandb: true
-  infer_img: doc/imgs_words/ch/word_1.jpg
-  character_dict_path: ppocr/utils/ppocr_keys_v1.txt
-  max_text_length: &max_text_length 25
-  infer_mode: false
-  use_space_char: true
-  distributed: true
-  save_res_path: ./output/test/rec/predicts_ppocrv4.txt
-  name: rec_ppocr_v4_hgnet
-
-
-Optimizer:
-  name: Adam
-  beta1: 0.9
-  beta2: 0.999
-  lr:
-    name: Cosine
-    learning_rate: 0.001
-    warmup_epoch: 5
-  regularizer:
-    name: L2
-    factor: 3.0e-05
-
-
-Architecture:
-  model_type: rec
-  algorithm: SVTR_HGNet
-  Transform:
-  Backbone:
-    name: PPHGNet_small
-  Head:
-    name: MultiHead
-    head_list:
-      - CTCHead:
-          Neck:
-            name: svtr
-            dims: 120
-            depth: 2
-            hidden_dims: 120
-            kernel_size: [1, 3]
-            use_guide: True
-          Head:
-            fc_decay: 0.00001
-      - NRTRHead:
-          nrtr_dim: 384
-          max_text_length: *max_text_length
-
-Loss:
-  name: MultiLoss
-  loss_config_list:
-    - CTCLoss:
-    - NRTRLoss:
-
-PostProcess:  
-  name: CTCLabelDecode
-
-Metric:
-  name: RecMetric
-  main_indicator: acc
-  ignore_space: True
-  char_precision: True
-  char_recall: True
-  char_f1: True
-
-Train:
-  dataset:
-    name: MultiScaleDataSet
-    ds_width: false
-    data_dir: ./train_data/
-    ext_op_transform_idx: 1
-    label_file_list:
-    - ./train_data/rec/train.txt
-    transforms:
-    - DecodeImage:
-        img_mode: BGR
-        channel_first: false
-    - RecConAug:
-        prob: 0.5
-        ext_data_num: 2
-        image_shape: [48, 320, 3]
-        max_text_length: *max_text_length
-    - RecAug:
-    - MultiLabelEncode:
-        gtc_encode: NRTRLabelEncode
-    - KeepKeys:
-        keep_keys:
-        - image
-        - label_ctc
-        - label_gtc
-        - length
-        - valid_ratio
-  sampler:
-    name: MultiScaleSampler
-    scales: [[320, 32], [320, 48], [320, 64]]
-    first_bs: &bs 128
-    fix_bs: false
-    divided_factor: [8, 16] # w, h
-    is_training: True
-  loader:
-    shuffle: true
-    batch_size_per_card: *bs
-    drop_last: true
-    num_workers: 8
-Eval:
-  dataset:
-    name: SimpleDataSet
-    data_dir: ./train_data
-    label_file_list:
-    - ./train_data/rec/val.txt
-    transforms:
-    - DecodeImage:
-        img_mode: BGR
-        channel_first: false
-    - MultiLabelEncode:
-        gtc_encode: NRTRLabelEncode
-    - RecResizeImg:
-        image_shape: [3, 48, 320]
-    - KeepKeys:
-        keep_keys:
-        - image
-        - label_ctc
-        - label_gtc
-        - length
-        - valid_ratio
-  loader:
-    shuffle: false
-    drop_last: false
-    batch_size_per_card: 128
-    num_workers: 4