fix finetune s2t (#104) #70
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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 |