zhangzhicheng.zzc
d721fabb34
[to #42322933 ]bert with sequence classification / token classification/ fill mask refactor
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1.新增支持原始bert模型（非easynlp的 backbone prefix版本）
2.支持bert的在sequence classification/fill mask /token classification上的backbone head形式
3.统一了sequence classification几个任务的pipeline到一个类
4.fill mask 支持backbone head形式
5.token classification的几个子任务（ner，word seg， part of speech）的preprocessor 统一到了一起TokenClassificationPreprocessor
6. sequence classification的几个子任务（single classification， pair classification）的preprocessor 统一到了一起SequenceClassificationPreprocessor
7. 改动register中 cls的group_key 赋值位置，之前的group_key在多个decorators的情况下，会被覆盖，obj_cls的group_key信息不正确
8. 基于backbone head形式将 原本group_key和 module同名的情况尝试做调整，如下在modelscope/pipelines/nlp/sequence_classification_pipeline.py 中
原本
@PIPELINES.register_module(
Tasks.sentiment_classification, module_name=Pipelines.sentiment_classification)
改成
@PIPELINES.register_module(
Tasks.text_classification, module_name=Pipelines.sentiment_classification)
相应的configuration.json也有改动，这样的改动更符合任务和pipline（子任务）的关系。
8. 其他相应改动为支持上述功能
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10041463
2022-09-27 23:08:33 +08:00
yuze.zyz
21fa71baf0
[to #42322933 ] add/refactor nlp models source code and finetune
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1. add sbert,veco,palm,space source code
2. support sbert sequence classification, token classification finetune
3. support veco sequence classification finetune
4. support palm nlg finetune
evaluation result: https://sheet.alibaba-inc.com/#/sheet/f7fdcc7f22bd5105 sheet:Maas
5. add ut for finetunes
6. add veco's taskdataset processor
7. add a common trainer for nlp, and a specific trainer for veco
8. merge some duplicate codes of models, preprocessors, pipelines
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9574105
* add basic class of hook&metrics
* pre-commit passed
* change some comments
* pre commit passed
* 1. remove accuracy's groups 2. remove useless hooks 3. simplify priorities
* pre-commit passed
* fix a comment
* Merge branch 'master' into finetune_hooks_metrics
# Conflicts:
# modelscope/metainfo.py
* pre-commit passed
* add basic class of hook&metrics
* pre-commit passed
* change some comments
* pre commit passed
* 1. remove accuracy's groups 2. remove useless hooks 3. simplify priorities
* pre-commit passed
* fix a comment
* Merge branch 'feat/finetune' of gitlab.alibaba-inc.com:Ali-MaaS/MaaS-lib into feat/finetune
* mv hooks related to modelscope/trainers/hooks
* mv priority back
* add torch mdoel base and test
* update hooks, trainer, import_util
* add torch epoch based trainer and dis utils
* add hooks
* fix warmup
* format code stype and fix warmup and add warmup unittest
* fix impls
* pre-commit check passed
* update hook and add EpochBasedTrainer
* add trainer unittest
* Merge branch 'feat/add_hooks' into feat/add_task
# Conflicts:
# modelscope/models/base_torch.py
# modelscope/trainers/hooks/hook.py
# modelscope/trainers/trainer.py
* update unittest name
* rewrite taskdataset to trainer
* fix trainer and add unittest
* add unittest
* code: run to forward
* run through... but ugly code
* arrange some cls
* fix some errs
* revert some mistakes
* init check in
* Merge branch 'feat/add_hooks' into feat/add_task
# Conflicts:
# modelscope/trainers/trainer.py
* test with bigger epoch and size
* add the default metrics class
* move build metrics code to a method
* merge add_task
* merge origin add_task
* add device initialization
* remove preprocessor arg for bool
* add task models
* move metric collect logic to metrics class
* pre-commit passed
* fix cr comments
* precommit passed
* add task models
* Merge remote-tracking branch 'origin/feat/add_task' into feat/backbone_head
* add comment
* change comment formats.
* fix comments
* fix ut bug
* fix comments
* add wrapper check
* fix comments
* pre commit passed
* fix cr comments
* solve a loop import problem
* fix ut bug
* fix ut errors
* change dummydataset to msdataset
* precommit passed
* merge add task
* backbone-head is build, model is not correctly loaded
* model load states matched
* result matched
* lint
* add veco/palm_v2 code
* merge master
* merge master success running
* add repr model name level
* Merge branch 'feat/veco_palm' into feat/finetune_sbert_veco
* model test for training
* add token-classification metric add formal ut
* fix running bug
* finetune and pipeline are working with backbone-head
* add nli
* add missing code
* finetune and pipeline are working with backbone-head
* Merge branch 'feat/backbone_head' of http://gitlab.alibaba-inc.com/Ali-MaaS/MaaS-lib into feat/backbone_head
* add a test repo for pr
* remove merge conflicted file
* remove merge conflicted file 1
* lint check
* import error
* none type bug fix
* forward input unpacking or dict bug
* move head into models, add build_backbone with registry, no base method
* merge master
* feat: 1. add interleave dataset method 2. support multiple dataset in trainer.build_dataset 3. support 3 sub tasks in sequence_classification task
* unfinished
* update the task model structure in NLP field
* merge master
* update by comments
* keep the default model id as current on production
* unfinished
* unfinished
* veco can run
* Merge remote-tracking branch 'origin/master' into feat/backbone_head
* add taskmodel for module management
* remove forward_input_is_dict
* unfinished
* token classification started
* update base model structure
* move space to backbone
* remove 'type' in build_from_cfg method
* test update
* bug fix
* on tesing, mess code
* Merge branch 'feat/backbone_head' into feat/refactor_nlp_730
# Conflicts:
# modelscope/metrics/builder.py
# modelscope/models/__init__.py
# modelscope/models/nlp/__init__.py
# modelscope/preprocessors/nlp.py
# modelscope/trainers/trainer.py
# requirements/multi-modal.txt
* add missing merge
* add sofa source code
* refactor
* add veco task dataset
* add veco task dataset
* pre-commit passed
* fix bug of log
* add some features
* merge master
* bug fix
* refine nlp models
* fix the training error
* unfinished
* refactor pipeline
* Merge branch 'feat/backbone_head' into feat/refactor_nlp_730
# Conflicts:
# modelscope/metrics/builder.py
# modelscope/models/nlp/__init__.py
# modelscope/models/nlp/backbones/structbert/modeling_sbert.py
# modelscope/models/nlp/palm_v2/palm_for_text_generation.py
# modelscope/preprocessors/base.py
# modelscope/preprocessors/nlp.py
# modelscope/trainers/trainer.py
* Merge commit 'ab04ceafc5453ce7daa9aa09e37a55f703072a10' into feat/refactor_nlp_730
# Conflicts:
# modelscope/metainfo.py
# modelscope/metrics/builder.py
# modelscope/models/__init__.py
# modelscope/models/base/base_torch_model.py
# modelscope/models/nlp/__init__.py
# modelscope/models/nlp/backbones/space/model/intent_unified_transformer.py
# modelscope/models/nlp/backbones/space/model/model_base.py
# modelscope/models/nlp/palm_v2/palm_for_text_generation.py
# modelscope/models/nlp/sbert_for_sequence_classification.py
# modelscope/models/nlp/sequence_classification.py
# modelscope/models/nlp/space/__init__.py
# modelscope/models/nlp/space_for_dialog_intent_prediction.py
# modelscope/models/nlp/space_for_dialog_modeling.py
# modelscope/models/nlp/space_for_dialog_state_tracking.py
# modelscope/models/nlp/task_model.py
# modelscope/pipelines/nlp/sentiment_classification_pipeline.py
# modelscope/preprocessors/base.py
# modelscope/preprocessors/nlp.py
# modelscope/trainers/trainer.py
* revert changes
* unify sentnece classification postprocess
* revert some changes, move some model files
* pipeline first case run through
* ws pipeline passed
* Merge branch 'feat/refactor_nlp_730' into feat/finetune_sbert_veco
* finetune
* revert code
* revert some code
* ws finetune started, only the accuracy is weird
* Merge branch 'feat/veco_taskdataset' into feat/finetune_sbert_veco
# Conflicts:
# modelscope/task_datasets/veco_dataset.py
# tests/taskdataset/test_veco_dataset.py
* veco+nli finetune started
* Merge branch 'master' into feat/finetune_sbert_veco
# Conflicts:
# modelscope/models/nlp/sbert_for_sequence_classification.py
# modelscope/models/nlp/sbert_for_token_classification.py
# modelscope/models/nlp/sbert_for_zero_shot_classification.py
# modelscope/models/nlp/space/space_for_dialog_intent_prediction.py
# modelscope/models/nlp/space/space_for_dialog_modeling.py
# modelscope/trainers/trainer.py
* add trainer for nlp
* trainer: dataset params passed into preprocessor
* test passed by nlptrainer
* fix some bugs
* fix some bugs
* add backbone/head subclass
* fix regression bugs
* fix bug in token-cls finetune
* support cfg modification
* fix bug
* fix bug
* update requirements
* add some comments and fix some t
* add some comments and revert a argument
* split to two test files
* revert code
* fixbug in precessor
(cherry picked from commit 7a648d096ef8500c694d3255dabe29e6f4bfc3e5)
* fix ut bug
* support sbert models
* unfinished
* Merge branch 'feat/finetune_sbert_veco' into sly_tmp_veco_finetune
# Conflicts:
# tests/trainers/test_finetune_sequence_classification.py
* fixbug in veco
* fix bug
* fixbug
* correct running params
* remove useless files
* add palm finetuning with cnn_dailymail dataset
* copy space model from sofa
* Merge branch 'feat/finetune_sbert_veco' of gitlab.alibaba-inc.com:Ali-MaaS/MaaS-lib into feat/finetune_sbert_veco
* Merge branch 'master' into feat/finetune_sbert_veco
# Conflicts:
# modelscope/metrics/__init__.py
# modelscope/models/__init__.py
# modelscope/models/nlp/__init__.py
# modelscope/models/nlp/backbones/__init__.py
# modelscope/models/nlp/backbones/structbert/modeling_sbert.py
# modelscope/models/nlp/heads/__init__.py
# modelscope/models/nlp/masked_language.py
# modelscope/models/nlp/palm_v2/palm_for_text_generation.py
# modelscope/models/nlp/sbert_for_nli.py
# modelscope/models/nlp/sbert_for_sentence_similarity.py
# modelscope/models/nlp/sbert_for_sentiment_classification.py
# modelscope/models/nlp/sbert_for_sequence_classification.py
# modelscope/models/nlp/sbert_for_token_classification.py
# modelscope/models/nlp/sbert_for_zero_shot_classification.py
# modelscope/models/nlp/sequence_classification.py
# modelscope/models/nlp/space/space_for_dialog_intent_prediction.py
# modelscope/models/nlp/space/space_for_dialog_modeling.py
# modelscope/models/nlp/space/space_for_dialog_state_tracking.py
# modelscope/models/nlp/structbert/adv_utils.py
# modelscope/models/nlp/structbert/configuration_sbert.py
# modelscope/models/nlp/task_models/task_model.py
# modelscope/pipelines/__init__.py
# modelscope/pipelines/nlp/__init__.py
# modelscope/pipelines/nlp/fill_mask_pipeline.py
# modelscope/pipelines/nlp/named_entity_recognition_pipeline.py
# modelscope/pipelines/nlp/nli_pipeline.py
# modelscope/pipelines/nlp/sentence_similarity_pipeline.py
# modelscope/pipelines/nlp/sentiment_classification_pipeline.py
# modelscope/pipelines/nlp/text_generation_pipeline.py
# modelscope/pipelines/nlp/word_segmentation_pipeline.py
# modelscope/pipelines/nlp/zero_shot_classification_pipeline.py
# modelscope/preprocessors/nlp.py
# modelscope/task_datasets/__init__.py
# modelscope/trainers/trainer.py
# modelscope/trainers/utils/inference.py
# modelscope/utils/file_utils.py
# requirements/nlp.txt
# tests/pipelines/test_nli.py
# tests/pipelines/test_sentence_similarity.py
# tests/pipelines/test_sentiment_classification.py
* fix imports
* mark backbone in their own modeling
* pre-commit check passed
* pre-commit passed, remove roberta model
* fix a bug in ast import
* skip all finetune uts
* fix bugs
* pre-commit passed
* bug fixed
* bug fixed
* bug fixed
* bug fixed
* fix ut bug
* fix bug
* fix ut bug
* fix bug
* fix bug
* fixbugs
* fixbug
* revert veco
* revert veco because of core dump
* fix palm bug
* revert veco
* revert mistaken code
* add a test print
* pre-commit check
* test exception
* add test code
* for test
* fix bug and test
* remove test code
* remove useless file
* 1. fix some bugs 2. add backbone ut
* Merge branch 'master' into feat/finetune_refactor_730
# Conflicts:
# modelscope/metainfo.py
# modelscope/metrics/sequence_classification_metric.py
# modelscope/models/nlp/__init__.py
# modelscope/models/nlp/task_models/task_model.py
# modelscope/preprocessors/__init__.py
# modelscope/preprocessors/nlp.py
# modelscope/trainers/trainer.py
# modelscope/trainers/utils/inference.py
# modelscope/utils/file_utils.py
# tests/trainers/test_trainer_with_nlp.py
* pre-commit passed
* revert files
* increase test level
* unregister models
* fix bugs
* fix cr comments
* fix bug in backbone-head
* add sbert backbone
* fix bug
* add test for token-cls-metric
* pre-commit passed
* fix ut comments
* revert normal tokenizer to fast tokenizer
* Merge branch 'master' into feat/finetune_refactor_730
# Conflicts:
# modelscope/models/nlp/__init__.py
# modelscope/models/nlp/backbones/__init__.py
# modelscope/models/nlp/backbones/structbert/__init__.py
# modelscope/models/nlp/masked_language.py
# modelscope/models/nlp/palm_v2/palm_for_text_generation.py
# modelscope/models/nlp/sbert_for_sequence_classification.py
# modelscope/models/nlp/sbert_for_token_classification.py
# modelscope/models/nlp/sbert_for_zero_shot_classification.py
# modelscope/pipelines/nlp/text_generation_pipeline.py
# modelscope/preprocessors/nlp.py
# modelscope/trainers/trainer.py
# modelscope/trainers/utils/inference.py
* fix merge bugs
* pre commit passed
* fix bug
* fix bug
* fix bug
* fix bug from master
* add print
* fix ut bug
* fix bug
* Merge branch 'master' into feat/finetune_refactor_730
* skip task model test
2022-08-03 18:38:41 +08:00
