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distilBert-interview-aihub
JJDGU/distilBert-interview-aihub
distilBert-interview-aihub is a text classification model from JJDGU. Use it when you need a label for a piece of text. It is set up for transformers.
AI Hub의 채용 면접 인터뷰 데이터를 사용하여 DistilBert 모델을 Fine Tuning
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- May 5, 2024
- Updated
- May 5, 2024
- SHA
- afc4688f
Model card
From the Hugging Face model README
Fine-Tuning DistilBert on AI Hub 채용 면접 인터뷰 데이터
AI Hub의 채용 면접 인터뷰 데이터를 사용하여 DistilBert 모델을 Fine Tuning
프로젝트 개요
- 데이터셋: AI Hub 채용 면접 인터뷰 데이터
- 모델: DistilBert
- 주요 목표: 채용 면접 인터뷰 시나리오에서의 답변 감정 분석
실험 설정
- Learning Rate: 2e-5
- Epoch 수: 5
- 테스트 정확도: 92%
Label
- Negative: Label_0
- Netural: Label_1
- Positive: Label_2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- ko
- Created
- May 5, 2024
- Updated
- May 5, 2024