huggingface transformer 라이브러리 코드를 직접 수정하므로 가상환경 사용을 권장
python -m venv .enLM
. .enLM/bin/activate
pip install -r requirements.txt
transformer_file 디렉토리에 있는 파일을 .enLM/lib/python3.7/site-packages/transformers/ 로 이동
- torch
- pytorch-ignite==0.3.0
- transformers==2.5.1
- tensorboardX==1.8
- tensorflow # for tensorboardX
pip install -r requirements.txt
Move transformer_file to transformers
python train.py --dataset_path DATAPATH/Name
python train_key.py --dataset_path DATAPATH/Name --keyword_module new
python interact.py --dataset_path DATAPATH/Name --model_checkpoint MODELPATH/
python interact_key.py --dataset_path DATAPATH/Name --model_checkpoint MODELPATH/
Source|Target
Below files is in same directory
DataName_train.txt / DataName_train_keyword.txt
DataName_valid.txt / DataName_valid_keyword.txt
DataName_test.txt / DataName_test_keyword.txt
https://github.com/huggingface/transfer-learning-conv-ai
@article{DBLP:journals/corr/abs-1901-08149,
author = {Thomas Wolf and
Victor Sanh and
Julien Chaumond and
Clement Delangue},
title = {TransferTransfo: {A} Transfer Learning Approach for Neural Network
Based Conversational Agents},
journal = {CoRR},
volume = {abs/1901.08149},
year = {2019},
url = {http://arxiv.org/abs/1901.08149},
archivePrefix = {arXiv},
eprint = {1901.08149},
timestamp = {Sat, 02 Feb 2019 16:56:00 +0100},
biburl = {https://dblp.org/rec/bib/journals/corr/abs-1901-08149},
bibsource = {dblp computer science bibliography, https://dblp.org}
}