model update

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "cner_output/model/random_split/bert_base/best_model",
+  "_name_or_path": "cner_output/model/random_split/bert_base/model_pmzjpl/epoch_10",
   "architectures": [
     "BertForTokenClassification"
   ],

eval/metric.json

@@ -0,0 +1 @@
+{"random.dev": {"micro/f1": 0.6192560175054704, "micro/f1_ci": {}, "micro/recall": 0.604378003203417, "micro/precision": 0.6348850252383623, "macro/f1": 0.5735999549689017, "macro/f1_ci": {}, "macro/recall": 0.5597621939973553, "macro/precision": 0.5895208320445692, "per_entity_metric": {"corporation": {"f1": 0.5524296675191815, "f1_ci": {}, "precision": 0.5454545454545454, "recall": 0.5595854922279793}, "creative_work": {"f1": 0.445141065830721, "f1_ci": {}, "precision": 0.45222929936305734, "recall": 0.4382716049382716}, "event": {"f1": 0.3439490445859873, "f1_ci": {}, "precision": 0.3584070796460177, "recall": 0.3306122448979592}, "group": {"f1": 0.5902668759811617, "f1_ci": {}, "precision": 0.6460481099656358, "recall": 0.5433526011560693}, "location": {"f1": 0.624203821656051, "f1_ci": {}, "precision": 0.6490066225165563, "recall": 0.6012269938650306}, "person": {"f1": 0.8240740740740741, "f1_ci": {}, "precision": 0.8135283363802559, "recall": 0.8348968105065666}, "product": {"f1": 0.6351351351351351, "f1_ci": {}, "precision": 0.6619718309859155, "recall": 0.6103896103896104}}}, "2021.test": {"micro/f1": 0.609117361784675, "micro/f1_ci": {"90": [0.6000414265573856, 0.6190415373631918], "95": [0.5981509067764902, 0.6206829089362571]}, "micro/recall": 0.6172525439407955, "micro/precision": 0.6011938281337988, "macro/f1": 0.559165089199025, "macro/f1_ci": {"90": [0.5497301707952231, 0.5689166903459428], "95": [0.5476856978181925, 0.5710003811206343]}, "macro/recall": 0.5694430718770875, "macro/precision": 0.5499368578582033, "per_entity_metric": {"corporation": {"f1": 0.46514047866805414, "f1_ci": {"90": [0.4422362753387115, 0.48909159792525936], "95": [0.43623003635525726, 0.49374912858221975]}, "precision": 0.43737769080234834, "recall": 0.49666666666666665}, "creative_work": {"f1": 0.3904698874917273, "f1_ci": {"90": [0.36092434680684116, 0.4211238997968856], "95": [0.35687967318425945, 0.42683661009613894]}, "precision": 0.3782051282051282, "recall": 0.40355677154582764}, "event": {"f1": 0.4183066361556064, "f1_ci": {"90": [0.39546956111373294, 0.4397802739202638], "95": [0.39134522763851565, 0.44413293286890765]}, "precision": 0.4208103130755064, "recall": 0.41583257506824384}, "group": {"f1": 0.5614035087719299, "f1_ci": {"90": [0.5405763591247462, 0.5834728306426968], "95": [0.5359571482288267, 0.5869609145475759]}, "precision": 0.5753803596127247, "recall": 0.5480895915678524}, "location": {"f1": 0.6389645776566757, "f1_ci": {"90": [0.6109104048765331, 0.6688442881364794], "95": [0.605244670105696, 0.6721568117825428]}, "precision": 0.6236702127659575, "recall": 0.6550279329608939}, "person": {"f1": 0.8044590643274854, "f1_ci": {"90": [0.7932438610200235, 0.8160130648695689], "95": [0.7909297225622194, 0.8184663212435235]}, "precision": 0.797463768115942, "recall": 0.8115781710914455}, "product": {"f1": 0.6354114713216957, "f1_ci": {"90": [0.6130714623048149, 0.6565474489604781], "95": [0.6085662982071728, 0.6597266285956008]}, "precision": 0.616650532429816, "recall": 0.6553497942386831}}}, "2020.test": {"micro/f1": 0.6103825136612021, "micro/f1_ci": {"90": [0.5886597809593919, 0.630754232709721], "95": [0.5853510478005706, 0.6344224019458733]}, "micro/recall": 0.5796574987026466, "micro/precision": 0.6445470282746683, "macro/f1": 0.5675359874657813, "macro/f1_ci": {"90": [0.5455416290059489, 0.5872544909762225], "95": [0.5421124912878689, 0.5910870158401571]}, "macro/recall": 0.5387624182505003, "macro/precision": 0.6021803835272678, "per_entity_metric": {"corporation": {"f1": 0.539440203562341, "f1_ci": {"90": [0.48223350253807107, 0.5925925925925926], "95": [0.47027027027027024, 0.6024160642570282]}, "precision": 0.5247524752475248, "recall": 0.5549738219895288}, "creative_work": {"f1": 0.42771084337349397, "f1_ci": {"90": [0.3701389008713657, 0.48001129943502824], "95": [0.35945076955513383, 0.4898017326588755]}, "precision": 0.46405228758169936, "recall": 0.39664804469273746}, "event": {"f1": 0.39147286821705424, "f1_ci": {"90": [0.3423689033075527, 0.4384615384615384], "95": [0.33401924920284043, 0.4479486677526936]}, "precision": 0.40239043824701193, "recall": 0.38113207547169814}, "group": {"f1": 0.5306859205776173, "f1_ci": {"90": [0.4740687545714476, 0.5835123669931646], "95": [0.4626316755585294, 0.5926018983807928]}, "precision": 0.6049382716049383, "recall": 0.47266881028938906}, "location": {"f1": 0.6266666666666666, "f1_ci": {"90": [0.5584730144800351, 0.689055929352397], "95": [0.5435147751150357, 0.7016515521450994]}, "precision": 0.6962962962962963, "recall": 0.5696969696969697}, "person": {"f1": 0.805944055944056, "f1_ci": {"90": [0.7759176252073368, 0.8316523801385778], "95": [0.7702132619352088, 0.8373703976596187]}, "precision": 0.8412408759124088, "recall": 0.7734899328859061}, "product": {"f1": 0.6508313539192399, "f1_ci": {"90": [0.6010349610090543, 0.6958744811793329], "95": [0.5892310901468917, 0.7061625360343002]}, "precision": 0.681592039800995, "recall": 0.6227272727272727}}}, "2021.test (span detection)": {"micro/f1": 0.7572194954913822, "micro/f1_ci": {}, "micro/recall": 0.7672024979761767, "micro/precision": 0.7474929577464788, "macro/f1": 0.7572194954913822, "macro/f1_ci": {}, "macro/recall": 0.7672024979761767, "macro/precision": 0.7474929577464788}, "2020.test (span detection)": {"micro/f1": 0.7273224043715847, "micro/f1_ci": {}, "micro/recall": 0.6907109496626881, "micro/precision": 0.7680323139065205, "macro/f1": 0.7273224043715847, "macro/f1_ci": {}, "macro/recall": 0.6907109496626881, "macro/precision": 0.7680323139065205}}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b1b20c1e875ecb87165b8a593c41d2dc26ad63f42fb4c558d406be0fdadd0c96
-size 431006385
+oid sha256:65a19bb5514a1335e47e8a5efc066607f32cf04b3b8ef2c0f7d721e8faf8eb7c
+size 431009137

tokenizer_config.json

@@ -1 +1 @@
-{"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/random_split/bert_base/best_model", "special_tokens_map_file": "cner_output/model/random_split/bert_base/model_pmzjpl/epoch_10/special_tokens_map.json", "tokenizer_class": "BertTokenizer"}
+{"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/random_split/bert_base/model_pmzjpl/epoch_10", "special_tokens_map_file": "cner_output/model/random_split/bert_base/model_pmzjpl/epoch_10/special_tokens_map.json", "tokenizer_class": "BertTokenizer"}

trainer_config.json

@@ -0,0 +1 @@
+{"data_split": "random.train", "model": "bert-base-cased", "crf": true, "max_length": 128, "epoch": 30, "batch_size": 32, "lr": 0.0001, "random_seed": 0, "gradient_accumulation_steps": 1, "weight_decay": 1e-07, "lr_warmup_step_ratio": 0.15, "max_grad_norm": 1}