model update

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "cner_output/model/baseline_2021/bertweet_large_continuous/best_model",
+  "_name_or_path": "tner/bertweet-large-tweetner-2020",
   "architectures": [
     "RobertaForTokenClassification"
   ],

eval/metric.json

@@ -1 +1 @@
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+{"2021.dev": {"micro/f1": 0.6532663316582915, "micro/f1_ci": {}, "micro/recall": 0.65, "micro/precision": 0.6565656565656566, "macro/f1": 0.6130509850715328, "macro/f1_ci": {}, "macro/recall": 0.615356967051296, "macro/precision": 0.613081734826762, "per_entity_metric": {"corporation": {"f1": 0.5904761904761905, "f1_ci": {}, "precision": 0.5740740740740741, "recall": 0.6078431372549019}, "creative_work": {"f1": 0.49673202614379086, "f1_ci": {}, "precision": 0.4810126582278481, "recall": 0.5135135135135135}, "event": {"f1": 0.4170212765957447, "f1_ci": {}, "precision": 0.47115384615384615, "recall": 0.37404580152671757}, "group": {"f1": 0.618510158013544, "f1_ci": {}, "precision": 0.6342592592592593, "recall": 0.6035242290748899}, "location": {"f1": 0.6845637583892618, "f1_ci": {}, "precision": 0.6623376623376623, "recall": 0.7083333333333334}, "person": {"f1": 0.8324697754749568, "f1_ci": {}, "precision": 0.8141891891891891, "recall": 0.8515901060070671}, "product": {"f1": 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"precision": 0.6718106995884774, "recall": 0.6718106995884774}}}, "2020.test": {"micro/f1": 0.6587912087912088, "micro/f1_ci": {"90": [0.6388349564310538, 0.6775372411164946], "95": [0.6347700739178536, 0.6817724596099083]}, "micro/recall": 0.6222106901920083, "micro/precision": 0.6999416228838296, "macro/f1": 0.6182374585427982, "macro/f1_ci": {"90": [0.5956469999846385, 0.6396562173710457], "95": [0.5924717479435003, 0.643052479903031]}, "macro/recall": 0.5865594344408018, "macro/precision": 0.6571485734047059, "per_entity_metric": {"corporation": {"f1": 0.5837837837837839, "f1_ci": {"90": [0.5257238173647558, 0.6340269047020367], "95": [0.5147848132574822, 0.6415194434712977]}, "precision": 0.6033519553072626, "recall": 0.5654450261780105}, "creative_work": {"f1": 0.5464788732394367, "f1_ci": {"90": [0.4858406810117715, 0.6012249962680998], "95": [0.4752830687830688, 0.6118356854309848]}, "precision": 0.5511363636363636, "recall": 0.5418994413407822}, "event": {"f1": 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0.6181818181818182}}}, "2021.test (span detection)": {"micro/f1": 0.7896759392027531, "micro/f1_ci": {}, "micro/recall": 0.7961142592806754, "micro/precision": 0.783340919435594, "macro/f1": 0.7896759392027531, "macro/f1_ci": {}, "macro/recall": 0.7961142592806754, "macro/precision": 0.783340919435594}, "2020.test (span detection)": {"micro/f1": 0.7641561297416162, "micro/f1_ci": {}, "micro/recall": 0.7213284898806435, "micro/precision": 0.8123904149620105, "macro/f1": 0.7641561297416162, "macro/f1_ci": {}, "macro/recall": 0.7213284898806435, "macro/precision": 0.8123904149620105}}

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 1417461873
+oid sha256:1e4468c714b7f3e3d7e0b8cb8068139b1bec1f2b730e087632a0d09d365df17e
+size 1417467377

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, "special_tokens_map_file": null, "name_or_path": "cner_output/model/baseline_2021/bertweet_large_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, "special_tokens_map_file": null, "name_or_path": "tner/bertweet-large-tweetner-2020", "tokenizer_class": "RobertaTokenizer"}