boostcampaitech2 klue-level2-nlp-11 issues

boostcampaitech2 / klue-level2-nlp-11

A solution for KLUE Relation Extraction Competition in the 2nd BoostCamp AI Tech by team AI-ESG

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Release ver1.0

#73 mon823 closed 3 years ago
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divide by number of csv files

#72 MaruchanPark closed 3 years ago
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[feat] maskedML dataset generator, train ML for TATP

#71 mon823 closed 3 years ago
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add ensemble.py

#70 MaruchanPark closed 3 years ago
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[feat] : using additional data apply

#69 zerohoon0102 closed 3 years ago
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sub entity와 obj entity 교체를 통한 data augmentation

#68 zerohoon0102 closed 3 years ago
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[feat] : entity concat method modify apply

#67 zerohoon0102 closed 3 years ago
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tokenized_dataset함수 entity와 sentence 연결해주는 방식 변경

#66 zerohoon0102 closed 3 years ago
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[feat] : type entity marker( punct ) apply

#65 zerohoon0102 closed 3 years ago
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Release ver0.1

#64 mon823 closed 3 years ago
0
AEDA

#63 MaruchanPark opened 3 years ago
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Domain Adaptive PreTraining(DAPT) 적용

#62 mycogno closed 3 years ago
1
Basic Random OverSampling을 통해 학습하기

#61 woowonjin closed 3 years ago
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Punctuation을 이용한 typed entity marker

#59 zerohoon0102 closed 3 years ago
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[fix] : fix comput_loss function

#58 zerohoon0102 closed 3 years ago
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[fix] loss function 코드 수정

#55 zerohoon0102 closed 3 years ago
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[feat] : add optimization loss customizing

#52 zerohoon0102 closed 3 years ago
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Optimization loss 변경

#51 zerohoon0102 closed 3 years ago
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Change criterion for saving best model

#50 woowonjin closed 3 years ago
1
Change criterion for saving best model

#49 woowonjin closed 3 years ago
1
Best모델 저장기준 metric 변경, Trainer log Custom, Early Stopping 적용

#48 woowonjin closed 3 years ago
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make_csv file for EDA

#43 AmenPark closed 3 years ago
2
[refactor] Code Refactor

#42 woowonjin closed 3 years ago
1
코드 Refactoring

#41 woowonjin closed 3 years ago
0
데이터 늘리기-EDA

#40 AmenPark opened 3 years ago
1
wandb config와 trainer.args 동기화

#39 mycogno closed 3 years ago
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train.py에서 wandb config 입력

#38 MaruchanPark closed 3 years ago
2
inference.py argparse, run_inference.sh, run_train.sh

#37 MaruchanPark closed 3 years ago
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Inference argparse 추가, 실행파일 run_train.sh 추가

#36 MaruchanPark closed 3 years ago
0
Settings for Best-model choice

#35 AmenPark closed 3 years ago
1
Revert "setting seed for Trainer"

#34 Hong-Hyun-Seung closed 3 years ago
1
setting seed for Trainer

#33 MaruchanPark closed 3 years ago
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get random_seed and shuffled

#32 AmenPark closed 3 years ago
1
seed argument, transformers.TrainingArguments seed 추가

#31 MaruchanPark closed 3 years ago
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Label doc

#30 woowonjin closed 3 years ago
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Adding docs to label

#29 woowonjin closed 3 years ago
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Add gitignore

#28 woowonjin closed 3 years ago
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Adding nohup.* to .gitignore

#27 woowonjin closed 3 years ago
0
모델 저장 세분화

#26 AmenPark opened 3 years ago
0
Validation fold

#25 AmenPark closed 3 years ago
3
[feat] : valset ratio argparse

#24 zerohoon0102 closed 3 years ago
1
Validation fold

#23 AmenPark closed 3 years ago
0
Connect train with models

#22 woowonjin closed 3 years ago
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train.py 와 models.py 연결할때 print error 수정

#21 woowonjin closed 3 years ago
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[feat]: connect train.py with models.py

#20 woowonjin closed 3 years ago
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Argparse 타입명 수정

#19 mon823 closed 3 years ago
1
Validation set 분할 argparse 적용

#18 mon823 closed 3 years ago
2
K-Fold 관련 argparse 적용

#17 mon823 closed 3 years ago
0
모델 Class 연결

#16 mon823 closed 3 years ago
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k-fold를 위한 argparser 추가

#15 AmenPark closed 3 years ago
0