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  1. ner_args.json +98 -0
  2. pytorch_model_ner.bin +3 -0
ner_args.json ADDED
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+ {
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+ "bert_dir": "./model_hub/chinese-bert-wwm-ext/",
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+ "output_dir": "./checkpoint/cluener",
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+ "data_dir": "./data/",
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+ "data_path": "./data/cluener/ner_data",
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+ "labels": [
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+ "address",
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+ "book",
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+ "company",
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+ "game",
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+ "government",
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+ "movie",
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+ "name",
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+ "organization",
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+ "position",
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+ "scene"
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+ ],
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+ "bio_labels": [
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+ "O",
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+ "B-address",
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+ "I-address",
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+ "B-book",
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+ "I-book",
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+ "B-company",
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+ "I-company",
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+ "B-game",
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+ "I-game",
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+ "B-government",
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+ "I-government",
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+ "B-movie",
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+ "I-movie",
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+ "B-name",
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+ "I-name",
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+ "B-organization",
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+ "I-organization",
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+ "B-position",
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+ "I-position",
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+ "B-scene",
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+ "I-scene"
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+ ],
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+ "num_labels": 21,
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+ "label2id": {
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+ "O": 0,
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+ "B-address": 1,
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+ "I-address": 2,
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+ "B-book": 3,
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+ "I-book": 4,
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+ "B-company": 5,
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+ "I-company": 6,
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+ "B-game": 7,
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+ "I-game": 8,
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+ "B-government": 9,
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+ "I-government": 10,
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+ "B-movie": 11,
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+ "I-movie": 12,
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+ "B-name": 13,
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+ "I-name": 14,
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+ "B-organization": 15,
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+ "I-organization": 16,
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+ "B-position": 17,
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+ "I-position": 18,
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+ "B-scene": 19,
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+ "I-scene": 20
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+ },
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+ "id2label": {
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+ "0": "O",
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+ "1": "B-address",
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+ "2": "I-address",
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+ "3": "B-book",
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+ "4": "I-book",
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+ "5": "B-company",
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+ "6": "I-company",
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+ "7": "B-game",
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+ "8": "I-game",
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+ "9": "B-government",
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+ "10": "I-government",
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+ "11": "B-movie",
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+ "12": "I-movie",
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+ "13": "B-name",
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+ "14": "I-name",
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+ "15": "B-organization",
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+ "16": "I-organization",
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+ "17": "B-position",
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+ "18": "I-position",
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+ "19": "B-scene",
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+ "20": "I-scene"
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+ },
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+ "max_seq_len": 512,
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+ "epochs": 3,
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+ "train_batch_size": 12,
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+ "dev_batch_size": 12,
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+ "bert_learning_rate": 3e-05,
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+ "crf_learning_rate": 0.003,
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+ "adam_epsilon": 1e-08,
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+ "weight_decay": 0.01,
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+ "warmup_proportion": 0.01,
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+ "save_step": 500
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+ }
pytorch_model_ner.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:3f47d9ee95851adb0eff3755869e7b4b7871bd04dba452dda9e7496b20fa07bd
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+ size 412859365