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• 问题相关组件/Related components：paddleocr2.6

选了40w张垂类真实图片，进行文字识别任务微调
在选择参数微调时，按 https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/doc/doc_ch/finetune.md 官方文档选择了预训练模型和配置文件如图：

出现的问题：
1.预训练过程中，acc始终为0.
2.警告：模型参数与网络参数不一致。如图：

不知道这两个现象是否正常。

网络参数如下：
[2022/11/09 15:51:53] ppocr INFO: encoder_type : rnn
[2022/11/09 15:51:53] ppocr INFO: hidden_size : 64
[2022/11/09 15:51:53] ppocr INFO: name : SequenceEncoder
[2022/11/09 15:51:53] ppocr INFO: Transform : None
[2022/11/09 15:51:53] ppocr INFO: algorithm : CRNN
[2022/11/09 15:51:53] ppocr INFO: freeze_params : False
[2022/11/09 15:51:53] ppocr INFO: model_type : rec
[2022/11/09 15:51:53] ppocr INFO: pretrained : None
[2022/11/09 15:51:53] ppocr INFO: return_all_feats : True
[2022/11/09 15:51:53] ppocr INFO: Teacher :
[2022/11/09 15:51:53] ppocr INFO: Backbone :
[2022/11/09 15:51:53] ppocr INFO: name : MobileNetV1Enhance
[2022/11/09 15:51:53] ppocr INFO: scale : 0.5
[2022/11/09 15:51:53] ppocr INFO: Head :
[2022/11/09 15:51:53] ppocr INFO: fc_decay : 2e-05
[2022/11/09 15:51:53] ppocr INFO: mid_channels : 96
[2022/11/09 15:51:53] ppocr INFO: name : CTCHead
[2022/11/09 15:51:53] ppocr INFO: Neck :
[2022/11/09 15:51:53] ppocr INFO: encoder_type : rnn
[2022/11/09 15:51:53] ppocr INFO: hidden_size : 64
[2022/11/09 15:51:53] ppocr INFO: name : SequenceEncoder
[2022/11/09 15:51:53] ppocr INFO: Transform : None
[2022/11/09 15:51:53] ppocr INFO: algorithm : CRNN
[2022/11/09 15:51:53] ppocr INFO: freeze_params : False
[2022/11/09 15:51:53] ppocr INFO: model_type : rec
[2022/11/09 15:51:53] ppocr INFO: pretrained : None
[2022/11/09 15:51:53] ppocr INFO: return_all_feats : True
[2022/11/09 15:51:53] ppocr INFO: algorithm : Distillation
[2022/11/09 15:51:53] ppocr INFO: model_type : rec
[2022/11/09 15:51:53] ppocr INFO: name : DistillationModel
[2022/11/09 15:51:53] ppocr INFO: Eval :
[2022/11/09 15:51:53] ppocr INFO: dataset :
[2022/11/09 15:51:53] ppocr INFO: data_dir : E:/license/train_data/rec
[2022/11/09 15:51:53] ppocr INFO: label_file_list : ['E:/license/train_data/rec_gt_test.txt']
[2022/11/09 15:51:53] ppocr INFO: name : SimpleDataSet
[2022/11/09 15:51:53] ppocr INFO: transforms :
[2022/11/09 15:51:53] ppocr INFO: DecodeImage :
[2022/11/09 15:51:53] ppocr INFO: channel_first : False
[2022/11/09 15:51:53] ppocr INFO: img_mode : BGR
[2022/11/09 15:51:53] ppocr INFO: CTCLabelEncode : None
[2022/11/09 15:51:53] ppocr INFO: RecResizeImg :
[2022/11/09 15:51:53] ppocr INFO: image_shape : [3, 32, 320]
[2022/11/09 15:51:53] ppocr INFO: KeepKeys :
[2022/11/09 15:51:53] ppocr INFO: keep_keys : ['image', 'label', 'length']
[2022/11/09 15:51:53] ppocr INFO: loader :
[2022/11/09 15:51:53] ppocr INFO: batch_size_per_card : 64
[2022/11/09 15:51:53] ppocr INFO: drop_last : False
[2022/11/09 15:51:53] ppocr INFO: num_workers : 1
[2022/11/09 15:51:53] ppocr INFO: shuffle : False
[2022/11/09 15:51:53] ppocr INFO: Global :
[2022/11/09 15:51:53] ppocr INFO: cal_metric_during_train : True
[2022/11/09 15:51:53] ppocr INFO: character_dict_path : E:/PaddleOCR-release-2.6/ppocr/utils/ppocr_keys_v1.txt
[2022/11/09 15:51:53] ppocr INFO: checkpoints : None
[2022/11/09 15:51:53] ppocr INFO: debug : False
[2022/11/09 15:51:53] ppocr INFO: distributed : False
[2022/11/09 15:51:53] ppocr INFO: epoch_num : 800
[2022/11/09 15:51:53] ppocr INFO: eval_batch_step : [0, 2000]
[2022/11/09 15:51:53] ppocr INFO: infer_img : doc/imgs_words/ch/word_1.jpg
[2022/11/09 15:51:53] ppocr INFO: infer_mode : False
[2022/11/09 15:51:53] ppocr INFO: log_smooth_window : 20
[2022/11/09 15:51:53] ppocr INFO: max_text_length : 25
[2022/11/09 15:51:53] ppocr INFO: pretrained_model : E:/PaddleOCR-release-2.6/pretrain_model/ch_PP-OCRv2_rec_train/best_accuracy.pdparams
[2022/11/09 15:51:53] ppocr INFO: print_batch_step : 10
[2022/11/09 15:51:53] ppocr INFO: save_epoch_step : 3
[2022/11/09 15:51:53] ppocr INFO: save_inference_dir : None
[2022/11/09 15:51:53] ppocr INFO: save_model_dir : ./output/rec_pp-OCRv2_distillation
[2022/11/09 15:51:53] ppocr INFO: save_res_path : ./output/rec/predicts_pp-OCRv2_distillation.txt
[2022/11/09 15:51:53] ppocr INFO: use_gpu : True
[2022/11/09 15:51:53] ppocr INFO: use_space_char : True
[2022/11/09 15:51:53] ppocr INFO: use_visualdl : False
[2022/11/09 15:51:53] ppocr INFO: Loss :
[2022/11/09 15:51:53] ppocr INFO: loss_config_list :
[2022/11/09 15:51:53] ppocr INFO: DistillationCTCLoss :
[2022/11/09 15:51:53] ppocr INFO: key : head_out
[2022/11/09 15:51:53] ppocr INFO: model_name_list : ['Student', 'Teacher']
[2022/11/09 15:51:53] ppocr INFO: weight : 1.0
[2022/11/09 15:51:53] ppocr INFO: DistillationDMLLoss :
[2022/11/09 15:51:53] ppocr INFO: act : softmax
[2022/11/09 15:51:53] ppocr INFO: key : head_out
[2022/11/09 15:51:53] ppocr INFO: model_name_pairs : 'Student', 'Teacher'
[2022/11/09 15:51:53] ppocr INFO: use_log : True
[2022/11/09 15:51:53] ppocr INFO: weight : 1.0
[2022/11/09 15:51:53] ppocr INFO: DistillationDistanceLoss :
[2022/11/09 15:51:53] ppocr INFO: key : backbone_out
[2022/11/09 15:51:53] ppocr INFO: mode : l2
[2022/11/09 15:51:53] ppocr INFO: model_name_pairs : 'Student', 'Teacher'
[2022/11/09 15:51:53] ppocr INFO: weight : 1.0
[2022/11/09 15:51:53] ppocr INFO: name : CombinedLoss
[2022/11/09 15:51:53] ppocr INFO: Metric :
[2022/11/09 15:51:53] ppocr INFO: base_metric_name : RecMetric
[2022/11/09 15:51:53] ppocr INFO: key : Student
[2022/11/09 15:51:53] ppocr INFO: main_indicator : acc
[2022/11/09 15:51:53] ppocr INFO: name : DistillationMetric
[2022/11/09 15:51:53] ppocr INFO: Optimizer :
[2022/11/09 15:51:53] ppocr INFO: beta1 : 0.9
[2022/11/09 15:51:53] ppocr INFO: beta2 : 0.999
[2022/11/09 15:51:53] ppocr INFO: lr :
[2022/11/09 15:51:53] ppocr INFO: decay_epochs : [700, 800]
[2022/11/09 15:51:53] ppocr INFO: name : Piecewise
[2022/11/09 15:51:53] ppocr INFO: values : [0.0005, 0.0001]
[2022/11/09 15:51:53] ppocr INFO: warmup_epoch : 5
[2022/11/09 15:51:53] ppocr INFO: name : Adam
[2022/11/09 15:51:53] ppocr INFO: regularizer :
[2022/11/09 15:51:53] ppocr INFO: factor : 2e-05
[2022/11/09 15:51:53] ppocr INFO: name : L2
[2022/11/09 15:51:53] ppocr INFO: PostProcess :
[2022/11/09 15:51:53] ppocr INFO: key : head_out
[2022/11/09 15:51:53] ppocr INFO: model_name : ['Student', 'Teacher']
[2022/11/09 15:51:53] ppocr INFO: name : DistillationCTCLabelDecode
[2022/11/09 15:51:53] ppocr INFO: Train :
[2022/11/09 15:51:53] ppocr INFO: dataset :
[2022/11/09 15:51:53] ppocr INFO: data_dir : E:/license/train_data/rec
[2022/11/09 15:51:53] ppocr INFO: label_file_list : ['E:/license/train_data/rec_gt_train.txt']
[2022/11/09 15:51:53] ppocr INFO: name : SimpleDataSet
[2022/11/09 15:51:53] ppocr INFO: transforms :
[2022/11/09 15:51:53] ppocr INFO: DecodeImage :
[2022/11/09 15:51:53] ppocr INFO: channel_first : False
[2022/11/09 15:51:53] ppocr INFO: img_mode : BGR
[2022/11/09 15:51:53] ppocr INFO: RecAug : None
[2022/11/09 15:51:53] ppocr INFO: CTCLabelEncode : None
[2022/11/09 15:51:53] ppocr INFO: RecResizeImg :
[2022/11/09 15:51:53] ppocr INFO: image_shape : [3, 32, 320]
[2022/11/09 15:51:53] ppocr INFO: KeepKeys :
[2022/11/09 15:51:53] ppocr INFO: keep_keys : ['image', 'label', 'length']
[2022/11/09 15:51:53] ppocr INFO: loader :
[2022/11/09 15:51:53] ppocr INFO: batch_size_per_card : 64
[2022/11/09 15:51:53] ppocr INFO: drop_last : True
[2022/11/09 15:51:53] ppocr INFO: num_sections : 1
[2022/11/09 15:51:53] ppocr INFO: num_workers : 1
[2022/11/09 15:51:53] ppocr INFO: shuffle : True
[2022/11/09 15:51:53] ppocr INFO: profiler_options : None
[2022/11/09 15:51:53] ppocr INFO: train with paddle 2.3.1 and device Place(gpu:0)
[2022/11/09 15:51:53] ppocr INFO: Initialize indexs of datasets:['E:/license/train_data/rec_gt_train.txt']
[2022/11/09 15:51:53] ppocr INFO: Initialize indexs of datasets:['E:/license/train_data/rec_gt_test.txt']