model update

config.json

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

eval/metric.json

@@ -0,0 +1 @@
+{"random.dev": {"micro/f1": 0.619047619047619, "micro/f1_ci": {}, "micro/recall": 0.596903363587827, "micro/precision": 0.6428982173663025, "macro/f1": 0.5686540193943024, "macro/f1_ci": {}, "macro/recall": 0.547210195927133, "macro/precision": 0.5921601321577861, "per_entity_metric": {"corporation": {"f1": 0.5444743935309972, "f1_ci": {}, "precision": 0.5674157303370787, "recall": 0.5233160621761658}, "creative_work": {"f1": 0.4155844155844156, "f1_ci": {}, "precision": 0.4383561643835616, "recall": 0.3950617283950617}, "event": {"f1": 0.3593073593073593, "f1_ci": {}, "precision": 0.3824884792626728, "recall": 0.33877551020408164}, "group": {"f1": 0.6086956521739131, "f1_ci": {}, "precision": 0.632398753894081, "recall": 0.5867052023121387}, "location": {"f1": 0.5993485342019543, "f1_ci": {}, "precision": 0.6388888888888888, "recall": 0.5644171779141104}, "person": {"f1": 0.830945558739255, "f1_ci": {}, "precision": 0.8463035019455253, "recall": 0.8161350844277674}, "product": {"f1": 0.6222222222222221, "f1_ci": {}, "precision": 0.639269406392694, "recall": 0.6060606060606061}}}, "2021.test": {"micro/f1": 0.6238958623895862, "micro/f1_ci": {"90": [0.6141711573096726, 0.6329835528622229], "95": [0.6127880547187768, 0.6345997209553179]}, "micro/recall": 0.6207215541165587, "micro/precision": 0.6271028037383177, "macro/f1": 0.5754103658637805, "macro/f1_ci": {"90": [0.565187314674676, 0.5855711118073963], "95": [0.563829302210402, 0.5869723763958868]}, "macro/recall": 0.5751041088351385, "macro/precision": 0.5760445653768616, "per_entity_metric": {"corporation": {"f1": 0.49146005509641877, "f1_ci": {"90": [0.46653944279830356, 0.5156783797722426], "95": [0.4614505665499631, 0.5195247572390868]}, "precision": 0.48743169398907105, "recall": 0.4955555555555556}, "creative_work": {"f1": 0.3972413793103448, "f1_ci": {"90": [0.3643388832934659, 0.431475468975469], "95": [0.357765951797727, 0.4368833727344366]}, "precision": 0.40055632823365783, "recall": 0.39398084815321477}, "event": {"f1": 0.44788732394366193, "f1_ci": {"90": [0.4252921892767356, 0.4712090747178809], "95": [0.42052975286951233, 0.4741356529398811]}, "precision": 0.4626576139670223, "recall": 0.4340309372156506}, "group": {"f1": 0.5767073573078192, "f1_ci": {"90": [0.5553909855557407, 0.5986221015634983], "95": [0.5507048431429983, 0.6039963050868477]}, "precision": 0.5776602775941837, "recall": 0.5757575757575758}, "location": {"f1": 0.6721649484536083, "f1_ci": {"90": [0.6437046042939083, 0.6989743577005144], "95": [0.6382294156836619, 0.7034515355421547]}, "precision": 0.6617050067658998, "recall": 0.6829608938547486}, "person": {"f1": 0.8116810183451891, "f1_ci": {"90": [0.800425398613887, 0.8226651182198794], "95": [0.7974815277796216, 0.8242620017446516]}, "precision": 0.8243346007604563, "recall": 0.799410029498525}, "product": {"f1": 0.6307304785894207, "f1_ci": {"90": [0.6096523222472238, 0.6528996533628258], "95": [0.6046932305919911, 0.6557772793770326]}, "precision": 0.6179664363277394, "recall": 0.6440329218106996}}}, "2020.test": {"micro/f1": 0.6154274575327208, "micro/f1_ci": {"90": [0.5947241888019572, 0.6356762437073024], "95": [0.5903024143830322, 0.6396733847327379]}, "micro/recall": 0.5734302023871303, "micro/precision": 0.6640625, "macro/f1": 0.5709159092071027, "macro/f1_ci": {"90": [0.5485436010515674, 0.5911412312900881], "95": [0.54348814668388, 0.5952871224560826]}, "macro/recall": 0.5321784485961766, "macro/precision": 0.6168953196783556, "per_entity_metric": {"corporation": {"f1": 0.5633802816901409, "f1_ci": {"90": [0.5108901703453305, 0.6114260304694146], "95": [0.5013283378746595, 0.6201379487863938]}, "precision": 0.6097560975609756, "recall": 0.5235602094240838}, "creative_work": {"f1": 0.4281150159744409, "f1_ci": {"90": [0.3629106221339231, 0.4872107567229519], "95": [0.35123805851861367, 0.49881329442767974]}, "precision": 0.5, "recall": 0.3743016759776536}, "event": {"f1": 0.4268774703557312, "f1_ci": {"90": [0.3761945562305827, 0.47865295050923795], "95": [0.36749324466274025, 0.48812845288166423]}, "precision": 0.44813278008298757, "recall": 0.4075471698113208}, "group": {"f1": 0.5335689045936396, "f1_ci": {"90": [0.4815280555531712, 0.5886398331255172], "95": [0.47204810764639515, 0.5993434343434344]}, "precision": 0.592156862745098, "recall": 0.4855305466237942}, "location": {"f1": 0.6198083067092652, "f1_ci": {"90": [0.5512898975732075, 0.6781922675026124], "95": [0.534796626984127, 0.6899004797898276]}, "precision": 0.6554054054054054, "recall": 0.5878787878787879}, "person": {"f1": 0.810375670840787, "f1_ci": {"90": [0.7806688121728075, 0.8346625323604978], "95": [0.7761355449156406, 0.8400027100271004]}, "precision": 0.867816091954023, "recall": 0.7600671140939598}, "product": {"f1": 0.6142857142857142, "f1_ci": {"90": [0.5632209365970393, 0.6650651474676988], "95": [0.5506497316430371, 0.6756231123983224]}, "precision": 0.645, "recall": 0.5863636363636363}}}, "2021.test (span detection)": {"micro/f1": 0.7648665930360984, "micro/f1_ci": {}, "micro/recall": 0.760841910489187, "micro/precision": 0.7689340813464236, "macro/f1": 0.7648665930360984, "macro/f1_ci": {}, "macro/recall": 0.760841910489187, "macro/precision": 0.7689340813464236}, "2020.test (span detection)": {"micro/f1": 0.732943469785575, "micro/f1_ci": {}, "micro/recall": 0.6829268292682927, "micro/precision": 0.7908653846153846, "macro/f1": 0.732943469785575, "macro/f1_ci": {}, "macro/recall": 0.6829268292682927, "macro/precision": 0.7908653846153846}}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:51bec828f32c873ad0bb65d6362d594357ec538d36cd114654cf5c329bd41dbe
-size 1330337393
+oid sha256:cff05905c403351f1ae33ed920d359cfa954961d6c897a5a273c0302cb29e01e
+size 1330342897

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_large/best_model", "special_tokens_map_file": "cner_output/model/random_split/bert_large/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_large/model_pmzjpl/epoch_10", "special_tokens_map_file": "cner_output/model/random_split/bert_large/model_pmzjpl/epoch_10/special_tokens_map.json", "tokenizer_class": "BertTokenizer"}

trainer_config.json

@@ -0,0 +1 @@
+{"data_split": "random.train", "model": "bert-large-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}