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CLUE命名实体识别
zhezhaoa edited this page Aug 15, 2023
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以下是CLUE命名实体识别解决方案的简要介绍。
利用google_zh_model.bin在CLUENER2020数据集上做微调和预测示例:
python3 finetune/run_ner.py --pretrained_model_path models/google_zh_model.bin \
--vocab_path models/google_zh_vocab.txt \
--config_path models/bert/base_config.json \
--train_path datasets/cluener2020/train.tsv \
--dev_path datasets/cluener2020/dev.tsv \
--label2id_path datasets/cluener2020/label2id.json \
--output_model_path models/ner_model.bin \
--epochs_num 5 --batch_size 16
python3 inference/run_ner_infer.py --load_model_path models/ner_model.bin \
--vocab_path models/google_zh_vocab.txt \
--config_path models/bert/base_config.json \
--test_path datasets/cluener2020/test_nolabel.tsv \
--prediction_path datasets/cluener2020/prediction.tsv \
--label2id_path datasets/cluener2020/label2id.json
利用cluecorpussmall_roberta_wwm_large_seq512_model.bin在CLUENER2020数据集上做微调和预测示例:
python3 finetune/run_ner.py --pretrained_model_path models/cluecorpussmall_roberta_wwm_large_seq512_model.bin \
--vocab_path models/google_zh_vocab.txt \
--config_path models/bert/large_config.json \
--train_path datasets/cluener2020/train.tsv \
--dev_path datasets/cluener2020/dev.tsv \
--output_model_path models/ner_model.bin \
--label2id_path datasets/cluener2020/label2id.json \
--epochs_num 5 --batch_size 16
python3 inference/run_ner_infer.py --load_model_path models/ner_model.bin \
--vocab_path models/google_zh_vocab.txt \
--config_path models/bert/large_config.json \
--test_path datasets/cluener2020/test_nolabel.tsv \
--prediction_path datasets/cluener2020/prediction.tsv \
--label2id_path datasets/cluener2020/label2id.json