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github-actions.yml
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name: Python package
on: [push]
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [3.7.13]
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
pip install -r requirements.txt
- name: Test with pytest
run: |
python preprocess.py --corpus_path corpora/CLUECorpusSmall_bert_sampled.txt --vocab_path models/google_zh_vocab.txt --dataset_path dataset.pt --processes_num 8 --seq_length 64 --data_processor bert
python pretrain.py --dataset_path dataset.pt --vocab_path models/google_zh_vocab.txt --config_path models/bert/mini_config.json --output_model_path models/bert_model.bin --total_steps 10 --save_checkpoint_steps 10 --report_steps 2 --batch_size 2
mv models/bert_model.bin-10 models/bert_model.bin
python preprocess.py --corpus_path corpora/CLUECorpusSmall_sampled.txt --vocab_path models/google_zh_vocab.txt --dataset_path dataset.pt --processes_num 8 --dynamic_masking --seq_length 64 --data_processor mlm
python pretrain.py --dataset_path dataset.pt --vocab_path models/google_zh_vocab.txt --config_path models/bert/mini_config.json --output_model_path models/roberta_model.bin --total_steps 10 --save_checkpoint_steps 10 --report_steps 2 --batch_size 2 --data_processor mlm --target mlm
mv models/roberta_model.bin-10 models/roberta_model.bin
python preprocess.py --corpus_path corpora/CLUECorpusSmall_bert_sampled.txt --vocab_path models/google_zh_vocab.txt --dataset_path dataset.pt --processes_num 8 --seq_length 64 --data_processor albert
python pretrain.py --dataset_path dataset.pt --vocab_path models/google_zh_vocab.txt --config_path models/albert/base_config.json --output_model_path models/albert_model.bin --total_steps 10 --save_checkpoint_steps 10 --report_steps 2 --batch_size 2
mv models/albert_model.bin-10 models/albert_model.bin
python preprocess.py --corpus_path corpora/CLUECorpusSmall_sampled.txt --vocab_path models/google_zh_vocab.txt --dataset_path dataset.pt --processes_num 8 --seq_length 64 --data_processor lm
python pretrain.py --dataset_path dataset.pt --vocab_path models/google_zh_vocab.txt --config_path models/gpt2/config.json --output_model_path models/gpt2_model.bin --total_steps 10 --save_checkpoint_steps 10 --report_steps 2 --batch_size 2
mv models/gpt2_model.bin-10 models/gpt2_model.bin
python preprocess.py --corpus_path corpora/CLUECorpusSmall_sampled.txt --vocab_path models/google_zh_vocab.txt --dataset_path dataset.pt --processes_num 8 --dynamic_masking --span_masking --seq_length 64 --data_processor mlm
python pretrain.py --dataset_path dataset.pt --vocab_path models/google_zh_vocab.txt --config_path models/bert/mini_config.json --output_model_path models/spanbert_model.bin --total_steps 10 --save_checkpoint_steps 10 --report_steps 2 --batch_size 2 --data_processor mlm --target mlm
mv models/spanbert_model.bin-10 models/spanbert_model.bin
python preprocess.py --corpus_path corpora/book_review_cls.txt --vocab_path models/google_zh_vocab.txt --dataset_path dataset.pt --processes_num 8 --seq_length 64 --data_processor cls
python pretrain.py --dataset_path dataset.pt --vocab_path models/google_zh_vocab.txt --config_path models/bert/mini_config.json --output_model_path models/cls_model.bin --total_steps 10 --save_checkpoint_steps 10 --report_steps 2 --batch_size 2 --labels_num 2 --data_processor cls --target cls
mv models/cls_model.bin-10 models/cls_model.bin
python preprocess.py --corpus_path corpora/news-commentary-v13-en-zh_sampled.txt --vocab_path models/google_uncased_en_vocab.txt --tgt_vocab_path models/google_zh_vocab.txt --dataset_path mt_dataset.pt --processes_num 8 --seq_length 64 --tgt_seq_length 64 --data_processor mt
python pretrain.py --dataset_path mt_dataset.pt --vocab_path models/google_uncased_en_vocab.txt --tgt_vocab_path models/google_zh_vocab.txt --config_path models/transformer/base_config.json --output_model_path models/mt_model.bin --total_steps 10 --save_checkpoint_steps 10 --report_steps 2 --batch_size 2
mv models/mt_model.bin-10 models/mt_model.bin
python preprocess.py --corpus_path corpora/CLUECorpusSmall_bert_sampled.txt --vocab_path models/google_zh_vocab.txt --dataset_path dataset.pt --processes_num 8 --seq_length 128 --tgt_seq_length 128 --dup_factor 1 --sentence_selection_strategy random --data_processor gsg
python pretrain.py --dataset_path dataset.pt --vocab_path models/google_zh_vocab.txt --config_path models/pegasus/base_config.json --output_model_path models/pegasus_model.bin --total_steps 10 --save_checkpoint_steps 10 --report_steps 2 --batch_size 2
mv models/pegasus_model.bin-10 models/pegasus_model.bin
python finetune/run_classifier.py --pretrained_model_path models/bert_model.bin --vocab_path models/google_zh_vocab.txt --config_path models/bert/mini_config.json --output_model_path models/classifier_model.bin --train_path datasets/test_data/book_review/train.tsv --dev_path datasets/test_data/book_review/dev.tsv --epochs_num 3 --batch_size 2
python inference/run_classifier_infer.py --load_model_path models/classifier_model.bin --vocab_path models/google_zh_vocab.txt --config_path models/bert/mini_config.json --test_path datasets/test_data/book_review/test_nolabel.tsv --prediction_path datasets/test_data/book_review/prediction.tsv --labels_num 2
python finetune/run_classifier.py --pretrained_model_path models/albert_model.bin --vocab_path models/google_zh_vocab.txt --config_path models/albert/base_config.json --output_model_path models/classifier_model.bin --train_path datasets/test_data/chnsenticorp/train.tsv --dev_path datasets/test_data/chnsenticorp/dev.tsv --learning_rate 4e-5 --epochs_num 3 --batch_size 2
python finetune/run_classifier_mt.py --pretrained_model_path models/bert_model.bin --vocab_path models/google_zh_vocab.txt --config_path models/bert/mini_config.json --dataset_path_list datasets/test_data/book_review/ datasets/test_data/chnsenticorp/ --epochs_num 1 --batch_size 2
python finetune/run_ner.py --pretrained_model_path models/bert_model.bin --vocab_path models/google_zh_vocab.txt --config_path models/bert/mini_config.json --output_model_path models/ner_model.bin --train_path datasets/test_data/msra_ner/train.tsv --dev_path datasets/test_data/msra_ner/dev.tsv --label2id_path datasets/msra_ner/label2id.json --epochs_num 2 --batch_size 2
python inference/run_ner_infer.py --load_model_path models/ner_model.bin --vocab_path models/google_zh_vocab.txt --config_path models/bert/mini_config.json --test_path datasets/test_data/msra_ner/test_nolabel.tsv --prediction_path datasets/test_data/msra_ner/prediction.tsv --label2id_path datasets/msra_ner/label2id.json
python finetune/run_cmrc.py --pretrained_model_path models/bert_model.bin --vocab_path models/google_zh_vocab.txt --config_path models/bert/mini_config.json --output_model_path models/cmrc_model.bin --train_path datasets/test_data/cmrc/train.json --dev_path datasets/test_data/cmrc/dev.json --epochs_num 2 --batch_size 2 --seq_length 128
python inference/run_cmrc_infer.py --load_model_path models/cmrc_model.bin --vocab_path models/google_zh_vocab.txt --config_path models/bert/mini_config.json --test_path datasets/test_data/cmrc/test.json --prediction_path datasets/test_data/cmrc/prediction.json --seq_length 128