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mini1013
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master_cate_bt5_test_flat_top_cate

Text Classification
setfit
Safetensors
sentence-transformers
roberta
generated_from_setfit_trainer
Eval Results
Model card Files Community
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Files changed (13) hide show
  1. 1_Pooling/config.json +10 -0
  2. README.md +541 -0
  3. config.json +29 -0
  4. config_sentence_transformers.json +10 -0
  5. config_setfit.json +4 -0
  6. model.safetensors +3 -0
  7. model_head.pkl +3 -0
  8. modules.json +14 -0
  9. sentence_bert_config.json +4 -0
  10. special_tokens_map.json +51 -0
  11. tokenizer.json +0 -0
  12. tokenizer_config.json +66 -0
  13. vocab.txt +0 -0
1_Pooling/config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "word_embedding_dimension": 768,
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+ "pooling_mode_cls_token": false,
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+ "pooling_mode_mean_tokens": true,
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+ "pooling_mode_max_tokens": false,
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+ "pooling_mode_mean_sqrt_len_tokens": false,
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+ "pooling_mode_weightedmean_tokens": false,
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+ "pooling_mode_lasttoken": false,
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+ "include_prompt": true
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+ }
README.md ADDED
@@ -0,0 +1,541 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model: mini1013/master_domain
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+ library_name: setfit
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+ metrics:
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+ - accuracy
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+ pipeline_tag: text-classification
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+ tags:
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+ - setfit
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+ - sentence-transformers
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+ - text-classification
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+ - generated_from_setfit_trainer
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+ widget:
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+ - text: 설화수 퍼펙팅 쿠션 에어셀 퍼프 6매 설화수 에어셀 퍼프 6매 LotteOn > 뷰티 > 뷰티기기/소품 > 메이크업소품 > 화장품파우치/정리함
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+ LotteOn > 뷰티 > 뷰티기기/소품 > 메이크업소품 > 화장품파우치/정리함
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+ - text: Tweezerman 홀리그래픽 마이크로 미니 족집게 세트 (4284-R) Winter Frost (#M)홈>화장품/미용>뷰티소품>페이스소품>기타페이스소품
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+ Naverstore > 화장품/미용 > 뷰티소품 > 페이스소품 > 기타페이스소품
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+ - text: 타투 스티커 현아 마스크 꾸미기 데코 판박이 1장상사맨 3타투스티커-스마일 LotteOn > 뷰티 > 뷰티기기/소품 > 메이크업소품
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+ > 헤나/타투 LotteOn > 뷰티 > 뷰티기기/소품 > 메이크업소품 > 헤나/타투
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+ - text: 비레디 페이스 피팅 브러쉬 포 히어로즈 MinSellAmount (#M)화장품/향수>남성화장품>남성메이크업/BB Gmarket > 뷰티
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+ > 화장품/향수 > 남성화장품 > 남성메이크업/BB
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+ - text: 더툴랩 믹싱 아크릴 팔레트 LotteOn > 뷰티 > 뷰티기기/소품 > 메이크업소품 > 화장품파우치/정리함 LotteOn > 뷰티
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+ > 뷰티기기/소품 > 메이크업소품 > 화장품파우치/정리함
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+ inference: true
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+ model-index:
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+ - name: SetFit with mini1013/master_domain
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+ results:
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+ - task:
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+ type: text-classification
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+ name: Text Classification
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+ dataset:
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+ name: Unknown
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+ type: unknown
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+ split: test
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+ metrics:
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+ - type: accuracy
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+ value: 0.736949846468782
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+ name: Accuracy
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+ ---
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+
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+ # SetFit with mini1013/master_domain
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+
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+ This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [mini1013/master_domain](https://huggingface.co/mini1013/master_domain) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
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+
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+ The model has been trained using an efficient few-shot learning technique that involves:
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+
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+ 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
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+ 2. Training a classification head with features from the fine-tuned Sentence Transformer.
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+
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+ ## Model Details
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+
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+ ### Model Description
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+ - **Model Type:** SetFit
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+ - **Sentence Transformer body:** [mini1013/master_domain](https://huggingface.co/mini1013/master_domain)
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+ - **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
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+ - **Maximum Sequence Length:** 512 tokens
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+ - **Number of Classes:** 8 classes
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+ <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
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+ <!-- - **Language:** Unknown -->
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+ <!-- - **License:** Unknown -->
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+
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+ ### Model Sources
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+
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+ - **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
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+ - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
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+ - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
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+
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+ ### Model Labels
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+ | Label | Examples |
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+ |:------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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+ | 7 | <ul><li>'모델링팩 제조 셀프 피부관리 용품 세트 스파츌러 할로윈분장 미용기구 분홍색 (#M)쿠팡 홈>뷰티>메이크업>베이스 메이크업>베이스 메이크업 세트 Coupang > 뷰티 > 메이크업 > 베이스 메이크업 > 베이스 메이크업 세트'</li><li>'조단앤쥬디 플랫 탑 배큐엄 로션 보틀 펌핑용기 TR012 Blue 30ml × 1개 (#M)쿠팡 홈>뷰티>뷰티소품>용기/거울/기타소품>화장품용기 Coupang > 뷰티 > 뷰티소품 > 용기/거울/기타소품 > 화장품용기'</li><li>'프레스식 클렌징 리무버 토너 공병 150ml 혼합색상 × 5개 (#M)쿠팡 홈>뷰티>뷰티소품>용기/거울/기타소품>화장품용기 Coupang > 뷰티 > 뷰티소품 > 용기/거울/기타소품 > 화장품용기'</li></ul> |
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+ | 3 | <ul><li>'아리따움 아이돌 래쉬 프리미엄 22호러블리아이 (#M)홈>화장품/미용>뷰티소품>아이소품>속눈썹/속눈썹펌제 Naverstore > 화장품/미용 > 뷰티소품 > 아이소품 > 속눈썹/속눈썹펌제'</li><li>'시세이도 아이래쉬 213 전체 뷰러 시세이도 뷰러 214 고무리필 x 3개 홈>💡 신상품;홈>전체상품;(#M)홈>💡신상품 Naverstore > 화장품/미용 > 뷰티소품 > 아이소품 > 뷰러'</li><li>'슈에무라 뷰러 아이래쉬컬러 N 전체뷰러 (#M)화장품/미용>뷰티소품>아이소품>뷰러 Naverstore > 화장품/미용 > 뷰티소품 > 아이소품 > 뷰러'</li></ul> |
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+ | 6 | <ul><li>'프리미엄 샴푸 브러쉬 1입_P085124958 옵션/라보에이치 프리미엄 샴푸 브러쉬 1입 ssg > 뷰티 > 헤어/바디 > 헤어스타일링 > 헤어메이크업 ssg > 뷰티 > 헤어/바디 > 헤어스타일링 > 헤어메이크업'</li><li>'모로칸오일 세라믹 볼륨 헤어 드라이 브러쉬 롤빗 5종 모로칸오일브러쉬 45mm LotteOn > 뷰티 > 뷰티소품 > 헤어소품 LotteOn > 뷰티 > 뷰티기기/소품 > 헤어소품 > 빗/헤어브러쉬'</li><li>'필리밀리 포니 훅 헤어세트 리본_시크핑크데님블루 포니 훅 세트(리본_시크핑크) (#M)쿠팡 홈>뷰티>메이크업>립 메이크업>립메이크업세트 Coupang > 뷰티 > 메이크업 > 립 메이크업 > 립메이크업세트'</li></ul> |
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+ | 0 | <ul><li>'천연 자초 립밤 만들기 키트 diy 향 선택(8개) 사과+에탄올20ml (#M)홈>비누&립밤&세제 만들기>만들기키트 Naverstore > 화장품/미용 > 색조메이크업 > 립케어'</li></ul> |
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+ | 5 | <ul><li>'메디플라워 메이크 셀프 패드 리필 130매x2박스(총260매) 화장솜 각질패드 닥토패드 (#M)11st>뷰티소품>화장솜>화장솜 11st > 뷰티 > 뷰티소품 > 화장솜'</li><li>'라네즈 네오 쿠션 매트or글로우 퍼프 6개 매트 퍼프 (#M)홈>화장품/미용>뷰티소품>페이스소품>퍼프 Naverstore > 화장품/미용 > 뷰티소품 > 페이스소품 > 퍼프'</li><li>'벨로즈 MTS 롤러 더마 페이스 헤어 두피 얼굴 마사지 홈케어 스테인레스 일반형 0.2mm 티타늄_한달패키지(EGF10ppm+롤러2개+에탄올)_0.3mm 홈>화장품/미용>뷰티소품>페이스소품>마사지도구;홈>MTS 도구;홈>전체상품;(#M)홈>MTS Naverstore > 화장품/미용 > 뷰티소품 > 페이스소품 > 마사지도구'</li></ul> |
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+ | 1 | <ul><li>'투쿨포스쿨 아트클래스 비건 멀티 컨투어 브러쉬 비건 멀티 컨투어 브러쉬 LotteOn > 뷰티 > 메이크업 > 쉐딩/컨투어링 LotteOn > 뷰티 > 메이크업 > 쉐딩/컨투어링'</li><li>'그림자쉐딩 02 코 브러쉬 (#M)뷰티>화장품/향수>미용소품>퍼프/스폰지/브러쉬 CJmall > 뷰티 > 화장품/향수 > 선케어 > 선크림/선로션'</li><li>'정샘물 마스터클래스 아이섀도우 L 브러쉬+물크림 라이트 마스크 3매 마스터클래스 아이섀도우 L 브러쉬 LotteOn > 뷰티 > 뷰티기기/소품 > 메이크업소품 > 브러쉬 LotteOn > 뷰티 > 뷰티기기/소품 > 메이크업소품 > 브러쉬'</li></ul> |
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+ | 2 | <ul><li>'에뛰드 마이뷰티툴 효녀손 바디브러쉬 LotteOn > 뷰티 > 뷰티소품 > 페이스소품 > 브러쉬 LotteOn > 뷰티 > 뷰티소품 > 액세서리/소모품/기타'</li><li>'웰라 SP 1000ml 샴푸 전용 펌프 (색상랜덤) (#M)화장품/미용>헤어케어>샴푸 AD > traverse > Naverstore > 화장품/미용 > 헤어케어 > 샴푸 > 비듬샴푸'</li><li>'필리밀리 바디브러시 2종 선인장모 바디브러시 (스트롱) (#M)홈>미용소품>기타소품>클렌징준비도구 OLIVEYOUNG > 미용소품 > 기타소품 > 전체'</li></ul> |
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+ | 4 | <ul><li>'5초눈썹타투스티커5초11쌍 눈썹문신스티커 눈썹타투 눈썹 E11 LotteOn > 뷰티 > 뷰티기기/소품 > 메이크업소품 > 브러쉬 LotteOn > 뷰티 > 뷰티기기/소품 > 메이크업소품 > 브러쉬'</li><li>'태틀리 타투 스티커 유칼립투스 씨네레아 × 2개 LotteOn > 뷰티 > 뷰티기기/소품 > 바디소품 LotteOn > 뷰티 > 뷰티기기/소품 > 바디소품'</li><li>'wjx니들 타투니들 카트리지 엔코 타투용품 반영구 smp 재료 라운드매그넘_1023 (#M)홈>전체상품 Naverstore > 화장품/미용 > 뷰티소품 > 타투'</li></ul> |
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+
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+ ## Evaluation
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+
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+ ### Metrics
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+ | Label | Accuracy |
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+ |:--------|:---------|
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+ | **all** | 0.7369 |
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+
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+ ## Uses
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+
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+ ### Direct Use for Inference
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+
90
+ First install the SetFit library:
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+
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+ ```bash
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+ pip install setfit
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+ ```
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+
96
+ Then you can load this model and run inference.
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+
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+ ```python
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+ from setfit import SetFitModel
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+
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+ # Download from the 🤗 Hub
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+ model = SetFitModel.from_pretrained("mini1013/master_cate_bt5_test_flat_top_cate")
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+ # Run inference
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+ preds = model("비레디 페이스 피팅 브러쉬 포 히어로즈 MinSellAmount (#M)화장품/향수>남성화장품>남성메이크업/BB Gmarket > 뷰티 > 화장품/향수 > 남성화장품 > 남성메이크업/BB")
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+ ```
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+
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+ <!--
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+ ### Downstream Use
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+
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+ *List how someone could finetune this model on their own dataset.*
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+ -->
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+
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+ <!--
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+ ### Out-of-Scope Use
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+
116
+ *List how the model may foreseeably be misused and address what users ought not to do with the model.*
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+ -->
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+
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+ <!--
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+ ## Bias, Risks and Limitations
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+
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+ *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
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+ -->
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+
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+ <!--
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+ ### Recommendations
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+
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+ *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
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+ -->
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+
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+ ## Training Details
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+
133
+ ### Training Set Metrics
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+ | Training set | Min | Median | Max |
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+ |:-------------|:----|:--------|:----|
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+ | Word count | 12 | 20.6963 | 66 |
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+
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+ | Label | Training Sample Count |
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+ |:------|:----------------------|
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+ | 0 | 1 |
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+ | 1 | 50 |
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+ | 2 | 48 |
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+ | 3 | 50 |
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+ | 4 | 50 |
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+ | 5 | 50 |
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+ | 6 | 50 |
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+ | 7 | 50 |
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+
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+ ### Training Hyperparameters
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+ - batch_size: (64, 64)
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+ - num_epochs: (30, 30)
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+ - max_steps: -1
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+ - sampling_strategy: oversampling
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+ - num_iterations: 100
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+ - body_learning_rate: (2e-05, 1e-05)
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+ - head_learning_rate: 0.01
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+ - loss: CosineSimilarityLoss
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+ - distance_metric: cosine_distance
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+ - margin: 0.25
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+ - end_to_end: False
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+ - use_amp: False
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+ - warmup_proportion: 0.1
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+ - l2_weight: 0.01
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+ - seed: 42
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+ - eval_max_steps: -1
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+ - load_best_model_at_end: False
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+
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+ ### Training Results
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+ | Epoch | Step | Training Loss | Validation Loss |
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+ |:-------:|:-----:|:-------------:|:---------------:|
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+ | 0.0018 | 1 | 0.4261 | - |
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+ | 0.0916 | 50 | 0.4493 | - |
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+ | 0.1832 | 100 | 0.4428 | - |
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+ | 0.2747 | 150 | 0.4252 | - |
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+ | 0.3663 | 200 | 0.3948 | - |
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+ | 0.4579 | 250 | 0.361 | - |
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+ | 0.5495 | 300 | 0.3209 | - |
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+ | 0.6410 | 350 | 0.2692 | - |
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+
500
+ ### Framework Versions
501
+ - Python: 3.10.12
502
+ - SetFit: 1.1.0
503
+ - Sentence Transformers: 3.3.1
504
+ - Transformers: 4.44.2
505
+ - PyTorch: 2.2.0a0+81ea7a4
506
+ - Datasets: 3.2.0
507
+ - Tokenizers: 0.19.1
508
+
509
+ ## Citation
510
+
511
+ ### BibTeX
512
+ ```bibtex
513
+ @article{https://doi.org/10.48550/arxiv.2209.11055,
514
+ doi = {10.48550/ARXIV.2209.11055},
515
+ url = {https://arxiv.org/abs/2209.11055},
516
+ author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
517
+ keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
518
+ title = {Efficient Few-Shot Learning Without Prompts},
519
+ publisher = {arXiv},
520
+ year = {2022},
521
+ copyright = {Creative Commons Attribution 4.0 International}
522
+ }
523
+ ```
524
+
525
+ <!--
526
+ ## Glossary
527
+
528
+ *Clearly define terms in order to be accessible across audiences.*
529
+ -->
530
+
531
+ <!--
532
+ ## Model Card Authors
533
+
534
+ *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
535
+ -->
536
+
537
+ <!--
538
+ ## Model Card Contact
539
+
540
+ *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
541
+ -->
config.json ADDED
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+ "transformers_version": "4.44.2",
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+ "use_cache": true,
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+ }
config_sentence_transformers.json ADDED
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+ "normalize_embeddings": false
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+ }
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