model update
Browse files- config.json +1 -1
- eval/metric.json +1 -1
- eval/prediction.2020.test.json +0 -0
- eval/prediction.2021.dev.json +0 -0
- eval/prediction.2021.test.json +0 -0
- pytorch_model.bin +2 -2
- tokenizer_config.json +1 -1
config.json
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{
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"_name_or_path": "cner_output/model/baseline_2021/bert_base_continuous/
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"architectures": [
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"BertForTokenClassification"
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],
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{
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"_name_or_path": "cner_output/model/baseline_2021/bert_base_continuous/model_mwzvua/epoch_10",
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"architectures": [
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"BertForTokenClassification"
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],
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eval/metric.json
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{"2021.dev": {"micro/f1": 0.
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{"2021.dev": {"micro/f1": 0.6148409893992933, "micro/f1_ci": {}, "micro/recall": 0.609, "micro/precision": 0.6207951070336392, "macro/f1": 0.5701559407018298, "macro/f1_ci": {}, "macro/recall": 0.5658302273189542, "macro/precision": 0.5779864735020361, "per_entity_metric": {"corporation": {"f1": 0.5486725663716814, "f1_ci": {}, "precision": 0.5, "recall": 0.6078431372549019}, "creative_work": {"f1": 0.4335664335664336, "f1_ci": {}, "precision": 0.4492753623188406, "recall": 0.4189189189189189}, "event": {"f1": 0.3939393939393939, "f1_ci": {}, "precision": 0.39097744360902253, "recall": 0.3969465648854962}, "group": {"f1": 0.6066350710900474, "f1_ci": {}, "precision": 0.6564102564102564, "recall": 0.5638766519823789}, "location": {"f1": 0.5815602836879432, "f1_ci": {}, "precision": 0.5942028985507246, "recall": 0.5694444444444444}, "person": {"f1": 0.795138888888889, "f1_ci": {}, "precision": 0.7815699658703071, "recall": 0.8091872791519434}, "product": {"f1": 0.6315789473684211, "f1_ci": {}, "precision": 0.673469387755102, "recall": 0.5945945945945946}}}, "2021.test": {"micro/f1": 0.6180153025736147, "micro/f1_ci": {"90": [0.6091071020409725, 0.6281541017445712], "95": [0.6068108439278024, 0.6300879315353104]}, "micro/recall": 0.6164431082331174, "micro/precision": 0.6195955369595537, "macro/f1": 0.5683670244315128, "macro/f1_ci": {"90": [0.5585356632073021, 0.5783570229745414], "95": [0.5566645989492551, 0.5802489470130128]}, "macro/recall": 0.5712308118378218, "macro/precision": 0.569694944056475, "per_entity_metric": {"corporation": {"f1": 0.47404505386875617, "f1_ci": {"90": [0.4490379133679127, 0.4990727568196289], "95": [0.4441134904075242, 0.5039688442060536]}, "precision": 0.4238178633975482, "recall": 0.5377777777777778}, "creative_work": {"f1": 0.3821742066171506, "f1_ci": {"90": [0.35211960334500386, 0.4128517316017316], "95": [0.34730538922155685, 0.41977224730637996]}, "precision": 0.37733333333333335, "recall": 0.387140902872777}, "event": {"f1": 0.44045368620037806, "f1_ci": {"90": [0.41686079777668794, 0.4635629737606736], "95": [0.41271162200014244, 0.4690119025876094]}, "precision": 0.4582104228121927, "recall": 0.4240218380345769}, "group": {"f1": 0.5773490532332975, "f1_ci": {"90": [0.5552643235358515, 0.6014339048948261], "95": [0.5519955277939024, 0.604945054945055]}, "precision": 0.6307572209211554, "recall": 0.5322793148880105}, "location": {"f1": 0.6442244224422442, "f1_ci": {"90": [0.616027444804906, 0.6713668122570161], "95": [0.6104101752199371, 0.6748156291439195]}, "precision": 0.6107634543178974, "recall": 0.6815642458100558}, "person": {"f1": 0.8072178236052291, "f1_ci": {"90": [0.7949127874965743, 0.8191705751547954], "95": [0.7917901949040049, 0.8214841028371646]}, "precision": 0.8061787421846267, "recall": 0.8082595870206489}, "product": {"f1": 0.6531049250535331, "f1_ci": {"90": [0.6304396220938515, 0.674394710721743], "95": [0.6260682322959881, 0.678272448791214]}, "precision": 0.6808035714285714, "recall": 0.6275720164609053}}}, "2020.test": {"micro/f1": 0.6140546569994423, "micro/f1_ci": {"90": [0.5935696915654249, 0.633132472774783], "95": [0.5888371280910468, 0.6376608622599]}, "micro/recall": 0.5713544369486248, "micro/precision": 0.6636528028933092, "macro/f1": 0.5710807917000799, "macro/f1_ci": {"90": [0.5478250595501791, 0.592402271276497], "95": [0.5441015143150139, 0.5966065608106168]}, "macro/recall": 0.5337579395628287, "macro/precision": 0.6216528993817231, "per_entity_metric": {"corporation": {"f1": 0.5441176470588235, "f1_ci": {"90": [0.48876663303573126, 0.592100492100492], "95": [0.4804129604224749, 0.600520698653001]}, "precision": 0.511520737327189, "recall": 0.581151832460733}, "creative_work": {"f1": 0.42405063291139244, "f1_ci": {"90": [0.364188207958176, 0.48667350928641245], "95": [0.34920102269095554, 0.4985368691673284]}, "precision": 0.48905109489051096, "recall": 0.3743016759776536}, "event": {"f1": 0.4146341463414634, "f1_ci": {"90": 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(span detection)": {"micro/f1": 0.7652789052533921, "micro/f1_ci": {}, "micro/recall": 0.7631548513935469, "micro/precision": 0.7674148156762414, "macro/f1": 0.7652789052533921, "macro/f1_ci": {}, "macro/recall": 0.7631548513935469, "macro/precision": 0.7674148156762414}, "2020.test (span detection)": {"micro/f1": 0.7250418293363079, "micro/f1_ci": {}, "micro/recall": 0.6746237675142709, "micro/precision": 0.7836045810729355, "macro/f1": 0.7250418293363079, "macro/f1_ci": {}, "macro/recall": 0.6746237675142709, "macro/precision": 0.7836045810729355}}
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eval/prediction.2020.test.json
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eval/prediction.2021.dev.json
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eval/prediction.2021.test.json
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:715c3261f146a422f15cc56bc2749595f2c4de23b41d614a3cb6e07e25492341
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size 431009137
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tokenizer_config.json
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{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "name_or_path": "cner_output/model/baseline_2021/bert_base_continuous/
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{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "name_or_path": "cner_output/model/baseline_2021/bert_base_continuous/model_mwzvua/epoch_10", "special_tokens_map_file": "/home/c.c2042013/.cache/huggingface/transformers/3b4f24ca855b89de958c718a0b57f5a85a74034966c27f680003c21cfe4d4119.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "tokenizer_class": "BertTokenizer"}
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