model update
Browse files- config.json +1 -1
- eval/metric.json +1 -0
- eval/prediction.2020.dev.json +0 -0
- eval/prediction.2020.test.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": "roberta_large_concat/
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"architectures": [
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"RobertaForTokenClassification"
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],
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{
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"_name_or_path": "cner_output/model/self_training_2021/roberta_large_concat/model_tpkhxk/epoch_10",
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"architectures": [
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"RobertaForTokenClassification"
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],
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eval/metric.json
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{"2020.dev": {"micro/f1": 0.6465191581219644, "micro/f1_ci": {"90": [0.6241835985561727, 0.6666757394302305], "95": [0.6194310343569784, 0.6704140430128958]}, "micro/recall": 0.625914315569488, "micro/precision": 0.6685267857142857, "macro/f1": 0.5907051354319692, "macro/f1_ci": {"90": [0.5674383743361626, 0.6112390385523173], "95": [0.5623141361222982, 0.6154035630159613]}, "macro/recall": 0.5790623427980605, "macro/precision": 0.6071458813975339, "per_entity_metric": {"corporation": {"f1": 0.4603580562659847, "f1_ci": {"90": [0.4009290953545232, 0.5159784417848934], "95": [0.3901007326007326, 0.5251514849883665]}, "precision": 0.4787234042553192, "recall": 0.4433497536945813}, "creative_work": {"f1": 0.5352798053527982, "f1_ci": {"90": [0.47683943945349055, 0.587317951235477], "95": [0.461119335471667, 0.5953614893360645]}, "precision": 0.541871921182266, "recall": 0.5288461538461539}, "event": {"f1": 0.3937360178970917, "f1_ci": {"90": [0.33707137136894216, 0.4480407643034555], "95": [0.3272708681911136, 0.460473678395846]}, "precision": 0.4607329842931937, "recall": 0.34375}, "group": {"f1": 0.5700934579439253, "f1_ci": {"90": [0.5119275461380725, 0.6200885560244932], "95": [0.5010342518596153, 0.6320186853520188]}, "precision": 0.6069651741293532, "recall": 0.5374449339207048}, "location": {"f1": 0.6598984771573605, "f1_ci": {"90": [0.6041470125786164, 0.7127670725723716], "95": [0.5940954506802723, 0.721102461603198]}, "precision": 0.6103286384976526, "recall": 0.7182320441988951}, "person": {"f1": 0.8712186689714779, "f1_ci": {"90": [0.8484734241567417, 0.890061406327069], "95": [0.8438054323492316, 0.8956910019429711]}, "precision": 0.9016100178890877, "recall": 0.842809364548495}, "product": {"f1": 0.6443514644351463, "f1_ci": {"90": [0.5992625468672358, 0.6863570057581574], "95": [0.5902266609812649, 0.6929224839542116]}, "precision": 0.6497890295358649, "recall": 0.6390041493775933}}}, "2021.test": {"micro/f1": 0.6432728900828296, "micro/f1_ci": {"90": [0.6346371239242744, 0.6527426061422125], "95": [0.6325785632921685, 0.654153674891706]}, "micro/recall": 0.6645467160037003, "micro/precision": 0.6233188720173536, "macro/f1": 0.5930573851639078, "macro/f1_ci": {"90": [0.5833111601787837, 0.6025124237732068], "95": [0.5808985762518359, 0.6047379720235664]}, "macro/recall": 0.6198835635729767, "macro/precision": 0.5724669964024179, "per_entity_metric": {"corporation": {"f1": 0.4987251402345742, "f1_ci": {"90": [0.4759021109395986, 0.5235213443902974], "95": [0.46998433956223123, 0.5286542480820317]}, "precision": 0.46088595664467485, "recall": 0.5433333333333333}, "creative_work": {"f1": 0.44747774480712166, "f1_ci": {"90": [0.41874086872898, 0.4765478768869068], "95": [0.413152311737946, 0.48175901413334915]}, "precision": 0.3951781970649895, "recall": 0.5157318741450069}, "event": {"f1": 0.45825049701789267, "f1_ci": {"90": [0.4346460786587436, 0.4808081736424989], "95": [0.4301067184089255, 0.48542853486853593]}, "precision": 0.5049288061336255, "recall": 0.4194722474977252}, "group": {"f1": 0.6011865524060646, "f1_ci": {"90": [0.5806004721301254, 0.6234138448986499], "95": [0.5773837112843277, 0.6271576187977291]}, "precision": 0.6015831134564644, "recall": 0.6007905138339921}, "location": {"f1": 0.6598334401024983, "f1_ci": {"90": [0.6294532874260654, 0.6873915404087002], "95": [0.6241111604910838, 0.6912957103397097]}, "precision": 0.6094674556213018, "recall": 0.7192737430167597}, "person": {"f1": 0.8356336260978671, "f1_ci": {"90": [0.8256715208072907, 0.8457981419617692], "95": [0.8239401591481131, 0.8480945851860394]}, "precision": 0.8130449947680503, "recall": 0.8595132743362832}, "product": {"f1": 0.650294695481336, "f1_ci": {"90": [0.6282566099248063, 0.6712689611864419], "95": [0.624556559287539, 0.6754463883482095]}, "precision": 0.6221804511278195, "recall": 0.6810699588477366}}}, "2020.test": {"micro/f1": 0.6561243634414365, "micro/f1_ci": {"90": [0.6365860685687125, 0.6744129002816157], "95": [0.6333481261188718, 0.6773850218862604]}, "micro/recall": 0.6351842241826674, "micro/precision": 0.6784922394678492, "macro/f1": 0.6173467345908658, "macro/f1_ci": {"90": [0.5952656950320451, 0.6366890460971872], "95": [0.5922888797012332, 0.6403723361198639]}, "macro/recall": 0.6041080498223751, "macro/precision": 0.6360219884536791, "per_entity_metric": {"corporation": {"f1": 0.5658536585365853, "f1_ci": {"90": [0.5125526508949241, 0.6157760814249363], "95": [0.5027554329966137, 0.6263709692698268]}, "precision": 0.5296803652968036, "recall": 0.6073298429319371}, "creative_work": {"f1": 0.5420054200542006, "f1_ci": {"90": [0.4860285187672348, 0.5947376093294461], "95": [0.4764635854341736, 0.6060645313235987]}, "precision": 0.5263157894736842, "recall": 0.5586592178770949}, "event": {"f1": 0.4917355371900826, "f1_ci": {"90": [0.4376105935166595, 0.5475549542404379], "95": [0.42447425883933815, 0.5573156168530822]}, "precision": 0.54337899543379, "recall": 0.4490566037735849}, "group": {"f1": 0.5709090909090908, "f1_ci": {"90": [0.5263063063063063, 0.6166781270464964], "95": [0.5152530244686334, 0.627799430639498]}, "precision": 0.6569037656903766, "recall": 0.5048231511254019}, "location": {"f1": 0.6646525679758307, "f1_ci": {"90": [0.5992742848265606, 0.7279340004553058], "95": [0.5844119363782285, 0.7375091019417477]}, "precision": 0.6626506024096386, "recall": 0.6666666666666666}, "person": {"f1": 0.8306104901117799, "f1_ci": {"90": [0.8044736411197559, 0.8549033122756916], "95": [0.7984257451859667, 0.8582263492659025]}, "precision": 0.8518518518518519, "recall": 0.8104026845637584}, "product": {"f1": 0.6556603773584906, "f1_ci": {"90": [0.6049658273381295, 0.7033524218563588], "95": [0.5955476190476191, 0.7139669826740765]}, "precision": 0.6813725490196079, "recall": 0.6318181818181818}}}, "2021.test (span detection)": {"micro/f1": 0.7835791598900791, "micro/f1_ci": {}, "micro/recall": 0.8079102578929108, "micro/precision": 0.760670731707317, "macro/f1": 0.7835791598900791, "macro/f1_ci": {}, "macro/recall": 0.8079102578929108, "macro/precision": 0.760670731707317}, "2020.test (span detection)": {"micro/f1": 0.7686105885514646, "micro/f1_ci": {}, "micro/recall": 0.742086144265698, "micro/precision": 0.7971014492753623, "macro/f1": 0.7686105885514646, "macro/f1_ci": {}, "macro/recall": 0.742086144265698, "macro/precision": 0.7971014492753623}, "2020.dev (span detection)": {"micro/f1": 0.7682333873581848, "micro/f1_ci": {}, "micro/recall": 0.7429467084639498, "micro/precision": 0.7953020134228188, "macro/f1": 0.7682333873581848, "macro/f1_ci": {}, "macro/recall": 0.7429467084639498, "macro/precision": 0.7953020134228188}}
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eval/prediction.2020.dev.json
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eval/prediction.2020.test.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 sha256:279c3122c451ff5074fe9f0d327e05305aba6acded0f4c1f7123d1333776e12b
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size 1417467377
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tokenizer_config.json
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{"errors": "replace", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "add_prefix_space": false, "trim_offsets": true, "model_max_length": 512, "name_or_path": "roberta_large_concat/
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{"errors": "replace", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "add_prefix_space": false, "trim_offsets": true, "model_max_length": 512, "name_or_path": "cner_output/model/self_training_2021/roberta_large_concat/model_tpkhxk/epoch_10", "special_tokens_map_file": "cner_output/model/self_training_2021/roberta_large_concat/model_tpkhxk/epoch_3/special_tokens_map.json", "tokenizer_class": "RobertaTokenizer"}
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