Publish final KPF-BERT Korean PII NER model
Browse files- README.md +45 -0
- best_validation_metrics.json +273 -0
- class_weights.json +69 -0
- config.json +179 -0
- label_map.json +140 -0
- label_thresholds_calibration_v1.json +403 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +17 -0
- training_history.json +821 -0
README.md
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---
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language:
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- ko
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pipeline_tag: token-classification
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tags:
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- korean
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- ner
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- pii
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- kpfbert
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base_model: KPF/KPF-bert-ner
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---
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# KPF-BERT Korean PII NER
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한국어 문장에서 33종의 PII 라벨을 탐지하는 KPF-BERT 기반 토큰 분류 모델입니다.
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## Labels
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BIO 형식의 67개 라벨(`O` 포함)을 사용합니다. 전체 라벨 매핑은 `label_map.json`과 `config.json`을 참고하세요.
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## Training data
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사용자가 제작한 합성 한국어 PII 데이터셋으로 파인튜닝했습니다. 실제 개인 정보가 포함된 데이터가 아닌 합성·검증 데이터 기반입니다.
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## Evaluation
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- Evaluation: independent A/B/C holdout sets
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- Average micro-F1: 0.9759
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- Minimum per-label F1: 0.750
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이 수치는 holdout 구성과 평가 방식에 따라 달라질 수 있습니다.
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## Usage
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```python
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from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
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model_id = "townboy/kpfbert-ner"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForTokenClassification.from_pretrained(model_id)
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ner = pipeline("token-classification", model=model, tokenizer=tokenizer,
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aggregation_strategy="simple")
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print(ner("회원 이름은 홍길동이고 이메일은 hong@example.com입니다."))
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```
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best_validation_metrics.json
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{
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| 2 |
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"epoch": 1,
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| 3 |
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"train_loss": 0.005999320498434073,
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| 4 |
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"micro_precision": 0.9850155499010461,
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| 5 |
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"micro_recall": 0.987808335696059,
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| 6 |
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"micro_f1": 0.9864099660249152,
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| 7 |
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|
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|
| 199 |
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},
|
| 200 |
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"RELIGION": {
|
| 201 |
+
"precision": 1.0,
|
| 202 |
+
"recall": 1.0,
|
| 203 |
+
"f1": 1.0,
|
| 204 |
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| 205 |
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| 206 |
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| 207 |
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| 208 |
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| 209 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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| 216 |
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| 217 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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"URL": {
|
| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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"fn": 0
|
| 231 |
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},
|
| 232 |
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"USER_ID": {
|
| 233 |
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|
| 234 |
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|
| 235 |
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|
| 236 |
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|
| 237 |
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|
| 238 |
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|
| 239 |
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},
|
| 240 |
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|
| 241 |
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|
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|
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|
| 245 |
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|
| 246 |
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},
|
| 248 |
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"WEIGHT": {
|
| 249 |
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|
| 250 |
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|
| 251 |
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|
| 252 |
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|
| 253 |
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|
| 254 |
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"fn": 0
|
| 255 |
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},
|
| 256 |
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|
| 262 |
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| 263 |
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},
|
| 264 |
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"ZIPCODE": {
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| 265 |
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| 270 |
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| 271 |
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}
|
| 272 |
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}
|
| 273 |
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}
|
class_weights.json
ADDED
|
@@ -0,0 +1,69 @@
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|
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
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|
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|
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|
| 1 |
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{
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| 30 |
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| 31 |
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|
| 33 |
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| 36 |
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|
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| 40 |
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|
| 46 |
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|
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|
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|
| 53 |
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|
| 54 |
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|
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|
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|
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|
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|
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"B-USER_ID": 1.139693,
|
| 60 |
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"I-USER_ID": 0.565513,
|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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"I-WEIGHT": 1.0,
|
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|
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|
| 67 |
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"B-ZIPCODE": 1.020495,
|
| 68 |
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"I-ZIPCODE": 0.809675
|
| 69 |
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}
|
config.json
ADDED
|
@@ -0,0 +1,179 @@
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|
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|
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|
|
|
|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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"adam_epsilon": 1e-08,
|
| 3 |
+
"add_cross_attention": false,
|
| 4 |
+
"architectures": [
|
| 5 |
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"BertForTokenClassification"
|
| 6 |
+
],
|
| 7 |
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"attention_probs_dropout_prob": 0.1,
|
| 8 |
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"batch_size": 32,
|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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"epoch": 30,
|
| 15 |
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"hidden_act": "gelu",
|
| 16 |
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|
| 17 |
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"hidden_size": 768,
|
| 18 |
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"id2label": {
|
| 19 |
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"0": "O",
|
| 20 |
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"1": "B-ACCOUNT_NUMBER",
|
| 21 |
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"2": "I-ACCOUNT_NUMBER",
|
| 22 |
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"3": "B-ADDRESS",
|
| 23 |
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"4": "I-ADDRESS",
|
| 24 |
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"5": "B-AGE",
|
| 25 |
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"6": "I-AGE",
|
| 26 |
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"7": "B-ALIEN_NUMBER",
|
| 27 |
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"8": "I-ALIEN_NUMBER",
|
| 28 |
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"9": "B-BIRTHDATE",
|
| 29 |
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"10": "I-BIRTHDATE",
|
| 30 |
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"11": "B-BLOOD_TYPE",
|
| 31 |
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"12": "I-BLOOD_TYPE",
|
| 32 |
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"13": "B-CARD_NUMBER",
|
| 33 |
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"14": "I-CARD_NUMBER",
|
| 34 |
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"15": "B-CITY",
|
| 35 |
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"16": "I-CITY",
|
| 36 |
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"17": "B-DEPARTMENT",
|
| 37 |
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"18": "I-DEPARTMENT",
|
| 38 |
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"19": "B-DRIVER_LICENSE",
|
| 39 |
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"20": "I-DRIVER_LICENSE",
|
| 40 |
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"21": "B-EMAIL",
|
| 41 |
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"22": "I-EMAIL",
|
| 42 |
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"23": "B-EMPLOYEE_ID",
|
| 43 |
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"24": "I-EMPLOYEE_ID",
|
| 44 |
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"25": "B-GENDER",
|
| 45 |
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"26": "I-GENDER",
|
| 46 |
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|
| 47 |
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"28": "I-HEIGHT",
|
| 48 |
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"29": "B-IP_ADDRESS",
|
| 49 |
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"30": "I-IP_ADDRESS",
|
| 50 |
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"31": "B-MAJOR",
|
| 51 |
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"32": "I-MAJOR",
|
| 52 |
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"33": "B-MEMBER_ID",
|
| 53 |
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"34": "I-MEMBER_ID",
|
| 54 |
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"35": "B-NAME",
|
| 55 |
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"36": "I-NAME",
|
| 56 |
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"37": "B-NATIONALITY",
|
| 57 |
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"38": "I-NATIONALITY",
|
| 58 |
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"39": "B-NICKNAME",
|
| 59 |
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"40": "I-NICKNAME",
|
| 60 |
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"41": "B-PARTICIPANT_ID",
|
| 61 |
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"42": "I-PARTICIPANT_ID",
|
| 62 |
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"43": "B-PASSPORTNUM",
|
| 63 |
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"44": "I-PASSPORTNUM",
|
| 64 |
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"45": "B-PHONE",
|
| 65 |
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"46": "I-PHONE",
|
| 66 |
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"47": "B-POSITION",
|
| 67 |
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"48": "I-POSITION",
|
| 68 |
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"49": "B-RELIGION",
|
| 69 |
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"50": "I-RELIGION",
|
| 70 |
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"51": "B-RRN",
|
| 71 |
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"52": "I-RRN",
|
| 72 |
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"53": "B-SCHOOL",
|
| 73 |
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"54": "I-SCHOOL",
|
| 74 |
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"55": "B-URL",
|
| 75 |
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"56": "I-URL",
|
| 76 |
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"57": "B-USER_ID",
|
| 77 |
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"58": "I-USER_ID",
|
| 78 |
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"59": "B-VEHICLE_NUMBER",
|
| 79 |
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"60": "I-VEHICLE_NUMBER",
|
| 80 |
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"61": "B-WEIGHT",
|
| 81 |
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"62": "I-WEIGHT",
|
| 82 |
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"63": "B-WORKPLACE",
|
| 83 |
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"64": "I-WORKPLACE",
|
| 84 |
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"65": "B-ZIPCODE",
|
| 85 |
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"66": "I-ZIPCODE"
|
| 86 |
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},
|
| 87 |
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"initializer_range": 0.02,
|
| 88 |
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"intermediate_hidden_size": 768,
|
| 89 |
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"intermediate_size": 3072,
|
| 90 |
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"is_decoder": false,
|
| 91 |
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"label2id": {
|
| 92 |
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"B-ACCOUNT_NUMBER": 1,
|
| 93 |
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"B-ADDRESS": 3,
|
| 94 |
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"B-AGE": 5,
|
| 95 |
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"B-ALIEN_NUMBER": 7,
|
| 96 |
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"B-BIRTHDATE": 9,
|
| 97 |
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"B-BLOOD_TYPE": 11,
|
| 98 |
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"B-CARD_NUMBER": 13,
|
| 99 |
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"B-CITY": 15,
|
| 100 |
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"B-DEPARTMENT": 17,
|
| 101 |
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"B-DRIVER_LICENSE": 19,
|
| 102 |
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"B-EMAIL": 21,
|
| 103 |
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"B-EMPLOYEE_ID": 23,
|
| 104 |
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"B-GENDER": 25,
|
| 105 |
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"B-HEIGHT": 27,
|
| 106 |
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"B-IP_ADDRESS": 29,
|
| 107 |
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"B-MAJOR": 31,
|
| 108 |
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"B-MEMBER_ID": 33,
|
| 109 |
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"B-NAME": 35,
|
| 110 |
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"B-NATIONALITY": 37,
|
| 111 |
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"B-NICKNAME": 39,
|
| 112 |
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"B-PARTICIPANT_ID": 41,
|
| 113 |
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"B-PASSPORTNUM": 43,
|
| 114 |
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"B-PHONE": 45,
|
| 115 |
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|
| 116 |
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"B-RELIGION": 49,
|
| 117 |
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"B-RRN": 51,
|
| 118 |
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"B-SCHOOL": 53,
|
| 119 |
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"B-URL": 55,
|
| 120 |
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"B-USER_ID": 57,
|
| 121 |
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"B-VEHICLE_NUMBER": 59,
|
| 122 |
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"B-WEIGHT": 61,
|
| 123 |
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"B-WORKPLACE": 63,
|
| 124 |
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"B-ZIPCODE": 65,
|
| 125 |
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"I-ACCOUNT_NUMBER": 2,
|
| 126 |
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"I-ADDRESS": 4,
|
| 127 |
+
"I-AGE": 6,
|
| 128 |
+
"I-ALIEN_NUMBER": 8,
|
| 129 |
+
"I-BIRTHDATE": 10,
|
| 130 |
+
"I-BLOOD_TYPE": 12,
|
| 131 |
+
"I-CARD_NUMBER": 14,
|
| 132 |
+
"I-CITY": 16,
|
| 133 |
+
"I-DEPARTMENT": 18,
|
| 134 |
+
"I-DRIVER_LICENSE": 20,
|
| 135 |
+
"I-EMAIL": 22,
|
| 136 |
+
"I-EMPLOYEE_ID": 24,
|
| 137 |
+
"I-GENDER": 26,
|
| 138 |
+
"I-HEIGHT": 28,
|
| 139 |
+
"I-IP_ADDRESS": 30,
|
| 140 |
+
"I-MAJOR": 32,
|
| 141 |
+
"I-MEMBER_ID": 34,
|
| 142 |
+
"I-NAME": 36,
|
| 143 |
+
"I-NATIONALITY": 38,
|
| 144 |
+
"I-NICKNAME": 40,
|
| 145 |
+
"I-PARTICIPANT_ID": 42,
|
| 146 |
+
"I-PASSPORTNUM": 44,
|
| 147 |
+
"I-PHONE": 46,
|
| 148 |
+
"I-POSITION": 48,
|
| 149 |
+
"I-RELIGION": 50,
|
| 150 |
+
"I-RRN": 52,
|
| 151 |
+
"I-SCHOOL": 54,
|
| 152 |
+
"I-URL": 56,
|
| 153 |
+
"I-USER_ID": 58,
|
| 154 |
+
"I-VEHICLE_NUMBER": 60,
|
| 155 |
+
"I-WEIGHT": 62,
|
| 156 |
+
"I-WORKPLACE": 64,
|
| 157 |
+
"I-ZIPCODE": 66,
|
| 158 |
+
"O": 0
|
| 159 |
+
},
|
| 160 |
+
"layer_norm_eps": 1e-12,
|
| 161 |
+
"learning_rate": 0.005,
|
| 162 |
+
"max_grad_norm": 1.0,
|
| 163 |
+
"max_position_embeddings": 512,
|
| 164 |
+
"max_seq_len": 120,
|
| 165 |
+
"model_name": "kpfbert",
|
| 166 |
+
"model_type": "bert",
|
| 167 |
+
"num_attention_heads": 12,
|
| 168 |
+
"num_hidden_layers": 12,
|
| 169 |
+
"pad_token_id": 0,
|
| 170 |
+
"position_embedding_type": "absolute",
|
| 171 |
+
"seed": 1000,
|
| 172 |
+
"test_data": "21_150tags_EntityLinking",
|
| 173 |
+
"tie_word_embeddings": true,
|
| 174 |
+
"train_data": "21_150tags_EntityLinking",
|
| 175 |
+
"transformers_version": "5.14.1",
|
| 176 |
+
"type_vocab_size": 2,
|
| 177 |
+
"use_cache": true,
|
| 178 |
+
"vocab_size": 36440
|
| 179 |
+
}
|
label_map.json
ADDED
|
@@ -0,0 +1,140 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"label2id": {
|
| 3 |
+
"O": 0,
|
| 4 |
+
"B-ACCOUNT_NUMBER": 1,
|
| 5 |
+
"I-ACCOUNT_NUMBER": 2,
|
| 6 |
+
"B-ADDRESS": 3,
|
| 7 |
+
"I-ADDRESS": 4,
|
| 8 |
+
"B-AGE": 5,
|
| 9 |
+
"I-AGE": 6,
|
| 10 |
+
"B-ALIEN_NUMBER": 7,
|
| 11 |
+
"I-ALIEN_NUMBER": 8,
|
| 12 |
+
"B-BIRTHDATE": 9,
|
| 13 |
+
"I-BIRTHDATE": 10,
|
| 14 |
+
"B-BLOOD_TYPE": 11,
|
| 15 |
+
"I-BLOOD_TYPE": 12,
|
| 16 |
+
"B-CARD_NUMBER": 13,
|
| 17 |
+
"I-CARD_NUMBER": 14,
|
| 18 |
+
"B-CITY": 15,
|
| 19 |
+
"I-CITY": 16,
|
| 20 |
+
"B-DEPARTMENT": 17,
|
| 21 |
+
"I-DEPARTMENT": 18,
|
| 22 |
+
"B-DRIVER_LICENSE": 19,
|
| 23 |
+
"I-DRIVER_LICENSE": 20,
|
| 24 |
+
"B-EMAIL": 21,
|
| 25 |
+
"I-EMAIL": 22,
|
| 26 |
+
"B-EMPLOYEE_ID": 23,
|
| 27 |
+
"I-EMPLOYEE_ID": 24,
|
| 28 |
+
"B-GENDER": 25,
|
| 29 |
+
"I-GENDER": 26,
|
| 30 |
+
"B-HEIGHT": 27,
|
| 31 |
+
"I-HEIGHT": 28,
|
| 32 |
+
"B-IP_ADDRESS": 29,
|
| 33 |
+
"I-IP_ADDRESS": 30,
|
| 34 |
+
"B-MAJOR": 31,
|
| 35 |
+
"I-MAJOR": 32,
|
| 36 |
+
"B-MEMBER_ID": 33,
|
| 37 |
+
"I-MEMBER_ID": 34,
|
| 38 |
+
"B-NAME": 35,
|
| 39 |
+
"I-NAME": 36,
|
| 40 |
+
"B-NATIONALITY": 37,
|
| 41 |
+
"I-NATIONALITY": 38,
|
| 42 |
+
"B-NICKNAME": 39,
|
| 43 |
+
"I-NICKNAME": 40,
|
| 44 |
+
"B-PARTICIPANT_ID": 41,
|
| 45 |
+
"I-PARTICIPANT_ID": 42,
|
| 46 |
+
"B-PASSPORTNUM": 43,
|
| 47 |
+
"I-PASSPORTNUM": 44,
|
| 48 |
+
"B-PHONE": 45,
|
| 49 |
+
"I-PHONE": 46,
|
| 50 |
+
"B-POSITION": 47,
|
| 51 |
+
"I-POSITION": 48,
|
| 52 |
+
"B-RELIGION": 49,
|
| 53 |
+
"I-RELIGION": 50,
|
| 54 |
+
"B-RRN": 51,
|
| 55 |
+
"I-RRN": 52,
|
| 56 |
+
"B-SCHOOL": 53,
|
| 57 |
+
"I-SCHOOL": 54,
|
| 58 |
+
"B-URL": 55,
|
| 59 |
+
"I-URL": 56,
|
| 60 |
+
"B-USER_ID": 57,
|
| 61 |
+
"I-USER_ID": 58,
|
| 62 |
+
"B-VEHICLE_NUMBER": 59,
|
| 63 |
+
"I-VEHICLE_NUMBER": 60,
|
| 64 |
+
"B-WEIGHT": 61,
|
| 65 |
+
"I-WEIGHT": 62,
|
| 66 |
+
"B-WORKPLACE": 63,
|
| 67 |
+
"I-WORKPLACE": 64,
|
| 68 |
+
"B-ZIPCODE": 65,
|
| 69 |
+
"I-ZIPCODE": 66
|
| 70 |
+
},
|
| 71 |
+
"id2label": {
|
| 72 |
+
"0": "O",
|
| 73 |
+
"1": "B-ACCOUNT_NUMBER",
|
| 74 |
+
"2": "I-ACCOUNT_NUMBER",
|
| 75 |
+
"3": "B-ADDRESS",
|
| 76 |
+
"4": "I-ADDRESS",
|
| 77 |
+
"5": "B-AGE",
|
| 78 |
+
"6": "I-AGE",
|
| 79 |
+
"7": "B-ALIEN_NUMBER",
|
| 80 |
+
"8": "I-ALIEN_NUMBER",
|
| 81 |
+
"9": "B-BIRTHDATE",
|
| 82 |
+
"10": "I-BIRTHDATE",
|
| 83 |
+
"11": "B-BLOOD_TYPE",
|
| 84 |
+
"12": "I-BLOOD_TYPE",
|
| 85 |
+
"13": "B-CARD_NUMBER",
|
| 86 |
+
"14": "I-CARD_NUMBER",
|
| 87 |
+
"15": "B-CITY",
|
| 88 |
+
"16": "I-CITY",
|
| 89 |
+
"17": "B-DEPARTMENT",
|
| 90 |
+
"18": "I-DEPARTMENT",
|
| 91 |
+
"19": "B-DRIVER_LICENSE",
|
| 92 |
+
"20": "I-DRIVER_LICENSE",
|
| 93 |
+
"21": "B-EMAIL",
|
| 94 |
+
"22": "I-EMAIL",
|
| 95 |
+
"23": "B-EMPLOYEE_ID",
|
| 96 |
+
"24": "I-EMPLOYEE_ID",
|
| 97 |
+
"25": "B-GENDER",
|
| 98 |
+
"26": "I-GENDER",
|
| 99 |
+
"27": "B-HEIGHT",
|
| 100 |
+
"28": "I-HEIGHT",
|
| 101 |
+
"29": "B-IP_ADDRESS",
|
| 102 |
+
"30": "I-IP_ADDRESS",
|
| 103 |
+
"31": "B-MAJOR",
|
| 104 |
+
"32": "I-MAJOR",
|
| 105 |
+
"33": "B-MEMBER_ID",
|
| 106 |
+
"34": "I-MEMBER_ID",
|
| 107 |
+
"35": "B-NAME",
|
| 108 |
+
"36": "I-NAME",
|
| 109 |
+
"37": "B-NATIONALITY",
|
| 110 |
+
"38": "I-NATIONALITY",
|
| 111 |
+
"39": "B-NICKNAME",
|
| 112 |
+
"40": "I-NICKNAME",
|
| 113 |
+
"41": "B-PARTICIPANT_ID",
|
| 114 |
+
"42": "I-PARTICIPANT_ID",
|
| 115 |
+
"43": "B-PASSPORTNUM",
|
| 116 |
+
"44": "I-PASSPORTNUM",
|
| 117 |
+
"45": "B-PHONE",
|
| 118 |
+
"46": "I-PHONE",
|
| 119 |
+
"47": "B-POSITION",
|
| 120 |
+
"48": "I-POSITION",
|
| 121 |
+
"49": "B-RELIGION",
|
| 122 |
+
"50": "I-RELIGION",
|
| 123 |
+
"51": "B-RRN",
|
| 124 |
+
"52": "I-RRN",
|
| 125 |
+
"53": "B-SCHOOL",
|
| 126 |
+
"54": "I-SCHOOL",
|
| 127 |
+
"55": "B-URL",
|
| 128 |
+
"56": "I-URL",
|
| 129 |
+
"57": "B-USER_ID",
|
| 130 |
+
"58": "I-USER_ID",
|
| 131 |
+
"59": "B-VEHICLE_NUMBER",
|
| 132 |
+
"60": "I-VEHICLE_NUMBER",
|
| 133 |
+
"61": "B-WEIGHT",
|
| 134 |
+
"62": "I-WEIGHT",
|
| 135 |
+
"63": "B-WORKPLACE",
|
| 136 |
+
"64": "I-WORKPLACE",
|
| 137 |
+
"65": "B-ZIPCODE",
|
| 138 |
+
"66": "I-ZIPCODE"
|
| 139 |
+
}
|
| 140 |
+
}
|
label_thresholds_calibration_v1.json
ADDED
|
@@ -0,0 +1,403 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
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|
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
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|
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| 1 |
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| 2 |
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| 377 |
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| 391 |
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| 398 |
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| 400 |
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| 401 |
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| 402 |
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|
| 403 |
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|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
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|
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|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b222d4635f26888cd57596ccd005104e48712f0b460149fafb499d6434ff3cc5
|
| 3 |
+
size 453976140
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
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|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"cls_token": "[CLS]",
|
| 4 |
+
"do_basic_tokenize": true,
|
| 5 |
+
"do_lower_case": false,
|
| 6 |
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"is_local": true,
|
| 7 |
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"local_files_only": false,
|
| 8 |
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"mask_token": "[MASK]",
|
| 9 |
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"model_max_length": 1000000000000000019884624838656,
|
| 10 |
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"never_split": null,
|
| 11 |
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"pad_token": "[PAD]",
|
| 12 |
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"sep_token": "[SEP]",
|
| 13 |
+
"strip_accents": null,
|
| 14 |
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"tokenize_chinese_chars": true,
|
| 15 |
+
"tokenizer_class": "BertTokenizer",
|
| 16 |
+
"unk_token": "[UNK]"
|
| 17 |
+
}
|
training_history.json
ADDED
|
@@ -0,0 +1,821 @@
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