Training in progress, epoch 1

README.md

@@ -1,22 +1,15 @@
 ---
-base_model: klue/roberta-small
+base_model: vitus9988/klue-roberta-small-ner-identified
 tags:
 - generated_from_trainer
-- korean
-- klue
-widget:
-- text: 저는 서울특별시 강남대로에 삽니다. 전화번호는 010-1234-5678이고 주민등록번호는 123456-1234567입니다. 메일주소는 hugging@face.com입니다. 저는 10월 25일에 출국할 예정입니다.
 metrics:
 - precision
 - recall
 - f1
 - accuracy
 model-index:
-- name: klue_roberta_small_ner_identified
+- name: klue-roberta-small-ner-identified
   results: []
-language:
-- ko
-pipeline_tag: token-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,19 +27,17 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-아래 항목에 대한 개체명 인식을 제공합니다.
+More information needed
 
-- 사람이름 [PS] - 낮은 인식률
-- 주소 (구 주소 및 도로명 주소) [AD]
-- 카드번호 [CN]
-- 계좌번호 [BN]
-- 운전면허번호 [DN]
-- 주민등록번호 [RN]
-- 여권번호 [PN]
-- 전화번호 [PH]
-- 이메일 주소 [EM]
-- 날짜 [DT]
+## Intended uses & limitations
 
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
 
 ### Training hyperparameters
 
@@ -78,4 +69,4 @@ The following hyperparameters were used during training:
 - Transformers 4.40.2
 - Pytorch 2.3.0+cu118
 - Datasets 2.19.1
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1

model.safetensors

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training_args.bin

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