之前的finetune代码当dataset最后长度不足制定batch size时会出错，现已修正
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10524066

1. Change structbert dev revision to master revision
2. Fix bug:  Sample code failed because the updating of model configuration
3. Fix bug: Continue training regression failed
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10519992

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10318299

Features:
1. Refactor the directory structure of nlp models. All model files are placed into either the model folder or the task_model folder
2. Refactor all the comments to google style
3. Add detail comments to important tasks and nlp models, to list the description of the model, and its preprocessor&trainer
4. Model Exporting now supports a direct all to TorchModelExporter(no need to derive from it)
5. Refactor model save_pretrained method to support direct running(independent from trainer)
6. Remove the judgement of Model in the pipeline base class, to support outer register models running in our pipelines
7. Nlp trainer now has a NLPTrainingArguments class , user can pass arguments into the dataclass, and use it as a normal cfg_modify_fn, to simplify the operation of modify cfg.
8. Merge the BACKBONES and the MODELS, so user can get a backbone with the Model.from_pretrained call
9. Model.from_pretrained now support a task argument, so user can use a backbone and load it with a specific task class.
10. Support Preprocessor.from_pretrained method
11. Add standard return classes to important nlp tasks, so some of the pipelines and the models are independent now, the return values of the models will always be tensors, and the pipelines will take care of the conversion to numpy and the following stuffs.
12. Split the file of the nlp preprocessors, to make the dir structure more clear.

Bugs Fixing:
1. Fix a bug that lr_scheduler can be called earlier than the optimizer's step
2. Fix a bug that the direct call of Pipelines (not from pipeline(xxx)) throws error
3. Fix a bug that the trainer will not call the correct TaskDataset class
4. Fix a bug that the internal loading of dataset will throws error in the trainer class
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10490585

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10509580

# Conflicts:
#	tests/trainers/test_ofa_trainer.py

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10465138

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10507910

    * [to #42322933] remove revision usage for face detection

增加对text-ranking任务中文模型的单元测试，以方便得到官方模型打标。
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10492754

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10491891

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10491951

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10453584

1. Fix bugs in daily test
2. Fix a bug that the updating of lr is before the first time of updating of optimizer
    TODO this will still cause warnings when GA is above 1
3. Remove the judgement of mode in text-classification's preprocessor to fit the base trainer(Bug)
     Update some regression bins to fit the preprocessor
4. Update the regression tool to let outer code modify atol and rtol
5. Add the default metric for text-classification task
6. Remove the useless ckpt conversion method in bert to avoid the requirement of tf when loading modeling_bert
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10430764

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10421808

    * add face 2d keypoints & human wholebody keypoint finrtune test case

# Conflicts:
#	modelscope/metrics/__init__.py

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10427797

添加2d手部关键点检测finetune功能
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10371710

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10275823

1. 调整face_detection的文件层级(scrfd与其余新增face_detection方法平级);
2. 增加极大脸/旋转脸的检测方法，更新了新模型；
3. 支持读入数据集并finetune和eval；
4. 新增card_detection模型，支持读入datasethub数据集并finetune
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10244540

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10338265

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10111615

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10198228

    * [to #44847108] add sparsity hook (pst algorithm)

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10227608