model update

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "cner_output/model/baseline_2021/t_roberta_base_dec2020_continuous/best_model",
+  "_name_or_path": "cner_output/model/baseline_2021/t_roberta_base_dec2020_continuous/model_rgztrs/epoch_10",
   "architectures": [
     "RobertaForTokenClassification"
   ],

eval/metric.json

@@ -0,0 +1 @@
+{"2021.dev": {"micro/f1": 0.6494949494949495, "micro/f1_ci": {}, "micro/recall": 0.643, "micro/precision": 0.6561224489795918, "macro/f1": 0.6068039027139369, "macro/f1_ci": {}, "macro/recall": 0.605166519640185, "macro/precision": 0.6118349239758869, "per_entity_metric": {"corporation": {"f1": 0.6176470588235294, "f1_ci": {}, "precision": 0.6176470588235294, "recall": 0.6176470588235294}, "creative_work": {"f1": 0.4713375796178344, "f1_ci": {}, "precision": 0.4457831325301205, "recall": 0.5}, "event": {"f1": 0.3951612903225807, "f1_ci": {}, "precision": 0.4188034188034188, "recall": 0.37404580152671757}, "group": {"f1": 0.6267281105990783, "f1_ci": {}, "precision": 0.6570048309178744, "recall": 0.5991189427312775}, "location": {"f1": 0.6233766233766234, "f1_ci": {}, "precision": 0.5853658536585366, "recall": 0.6666666666666666}, "person": {"f1": 0.8304498269896194, "f1_ci": {}, "precision": 0.8135593220338984, "recall": 0.8480565371024735}, "product": {"f1": 0.6829268292682927, "f1_ci": {}, "precision": 0.7446808510638298, "recall": 0.6306306306306306}}}, "2021.test": {"micro/f1": 0.655146764318819, "micro/f1_ci": {"90": [0.646485917836786, 0.6644401423537809], "95": [0.6449507873997479, 0.6659444015725502]}, "micro/recall": 0.6620027752081407, "micro/precision": 0.6484313059236607, "macro/f1": 0.60565538970149, "macro/f1_ci": {"90": [0.5958609226036335, 0.615029496768845], "95": [0.59347853460072, 0.6177128475619766]}, "macro/recall": 0.6152969312272543, "macro/precision": 0.5978135601251405, "per_entity_metric": {"corporation": {"f1": 0.5356371490280778, "f1_ci": {"90": [0.5114094871504585, 0.5608433653038019], "95": [0.5052604332153696, 0.5661445279866333]}, "precision": 0.5210084033613446, "recall": 0.5511111111111111}, "creative_work": {"f1": 0.4529526281635302, "f1_ci": {"90": [0.42236024844720493, 0.48234065608829313], "95": [0.4175525495344849, 0.48726058770701636]}, "precision": 0.4308641975308642, "recall": 0.4774281805745554}, "event": {"f1": 0.4692272096251735, "f1_ci": {"90": [0.44730383541051455, 0.4914571996286822], "95": [0.44300273768043796, 0.497628418609345]}, "precision": 0.4774011299435028, "recall": 0.46132848043676067}, "group": {"f1": 0.610738255033557, "f1_ci": {"90": [0.5911010424446823, 0.6317182638626475], "95": [0.587397323488694, 0.636247821945832]}, "precision": 0.6224350205198358, "recall": 0.5994729907773386}, "location": {"f1": 0.6627831715210356, "f1_ci": {"90": [0.6361094283387652, 0.6906877216895649], "95": [0.6284165623933567, 0.6944596639532455]}, "precision": 0.617611580217129, "recall": 0.7150837988826816}, "person": {"f1": 0.8433472499546196, "f1_ci": {"90": [0.8330629714737499, 0.8537574855967393], "95": [0.8310271369505687, 0.8553120874462692]}, "precision": 0.8305327136217375, "recall": 0.8565634218289085}, "product": {"f1": 0.6649020645844361, "f1_ci": {"90": [0.6436639052703277, 0.6861324260947763], "95": [0.639253505828489, 0.6900270969352551]}, "precision": 0.6848418756815703, "recall": 0.6460905349794238}}}, "2020.test": {"micro/f1": 0.6529060293318849, "micro/f1_ci": {"90": [0.6320560339514061, 0.6714840239575703], "95": [0.6277113779725418, 0.6759792334494775]}, "micro/recall": 0.6237675142708874, "micro/precision": 0.6849002849002849, "macro/f1": 0.6127864056494463, "macro/f1_ci": {"90": [0.5897169937547521, 0.6334131005387055], "95": [0.5857108200385485, 0.6376942274138916]}, "macro/recall": 0.5885664058069695, "macro/precision": 0.6440791059118922, "per_entity_metric": {"corporation": {"f1": 0.5925925925925924, "f1_ci": {"90": [0.533721414937729, 0.6480675262204496], "95": [0.5207716966045063, 0.6541185932818168]}, "precision": 0.5989304812834224, "recall": 0.5863874345549738}, "creative_work": {"f1": 0.5558739255014327, "f1_ci": {"90": [0.4984564943253468, 0.607918557688304], "95": [0.4885970084990079, 0.6177219060891107]}, "precision": 0.5705882352941176, "recall": 0.5418994413407822}, "event": {"f1": 0.4383561643835617, "f1_ci": {"90": [0.3847710023194851, 0.48764285714285716], "95": [0.37720025056234163, 0.49720332993010286]}, "precision": 0.45528455284552843, "recall": 0.4226415094339623}, "group": {"f1": 0.5437616387337058, "f1_ci": {"90": [0.48760765869239764, 0.5993162024857116], "95": [0.47615165631469974, 0.6082547602450746]}, "precision": 0.6460176991150443, "recall": 0.4694533762057878}, "location": {"f1": 0.641399416909621, "f1_ci": {"90": [0.5723443613683027, 0.7030686612965094], "95": [0.5566328196906268, 0.7147551120186363]}, "precision": 0.6179775280898876, "recall": 0.6666666666666666}, "person": {"f1": 0.8407534246575342, "f1_ci": {"90": [0.8133493861413243, 0.8663783854306567], "95": [0.8073137196568275, 0.8716676932880203]}, "precision": 0.8583916083916084, "recall": 0.8238255033557047}, "product": {"f1": 0.6767676767676768, "f1_ci": {"90": [0.6232405642394205, 0.7267706131078224], "95": [0.6133611279563371, 0.7349278036430734]}, "precision": 0.7613636363636364, "recall": 0.6090909090909091}}}, "2021.test (span detection)": {"micro/f1": 0.7802700846875715, "micro/f1_ci": {}, "micro/recall": 0.7884815542962877, "micro/precision": 0.7722278853777325, "macro/f1": 0.7802700846875715, "macro/f1_ci": {}, "macro/recall": 0.7884815542962877, "macro/precision": 0.7722278853777325}, "2020.test (span detection)": {"micro/f1": 0.7588267246061923, "micro/f1_ci": {}, "micro/recall": 0.724961079398028, "micro/precision": 0.796011396011396, "macro/f1": 0.7588267246061923, "macro/f1_ci": {}, "macro/recall": 0.724961079398028, "macro/precision": 0.796011396011396}}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:53cd81041060d4d83b328a710bf3660cc06bd794571ed49a5b0bc86e244ff0ab
-size 496349169
+oid sha256:9514224692c5dd577b27fb030f316a90d4c6e226744d8bb76c294e3afd2b0d74
+size 496351921

tokenizer_config.json

@@ -1 +1 @@
-{"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, "special_tokens_map_file": null, "name_or_path": "cner_output/model/baseline_2021/t_roberta_base_dec2020_continuous/best_model", "tokenizer_class": "RobertaTokenizer"}
+{"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, "special_tokens_map_file": null, "name_or_path": "cner_output/model/baseline_2021/t_roberta_base_dec2020_continuous/model_rgztrs/epoch_10", "tokenizer_class": "RobertaTokenizer"}

trainer_config.json

@@ -0,0 +1 @@
+{"data_split": "2021.train", "model": "tner/twitter-roberta-base-dec2020-tweetner-2020", "crf": true, "max_length": 128, "epoch": 30, "batch_size": 32, "lr": 1e-06, "random_seed": 0, "gradient_accumulation_steps": 1, "weight_decay": 1e-07, "lr_warmup_step_ratio": 0.3, "max_grad_norm": 1}