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mini1013
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master_cate_bt_top7_test

Text Classification
setfit
Safetensors
sentence-transformers
roberta
generated_from_setfit_trainer
Eval Results
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Files changed (13) hide show
  1. 1_Pooling/config.json +10 -0
  2. README.md +737 -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
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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
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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: 포렌코즈 타투 원더 벨벳 틴트 MinSellAmount (#M)화장품/향수>색조메이크업>립틴트 Gmarket > 뷰티 > 화장품/향수
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+ > 색조메이크업 > 립틴트
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+ - text: 투쿨포스쿨 아트클래스 프로타주 펜슬 애교살 섀도우 1+1 (1.1g+1.1g)+전용 샤프너 2호 로지 듀_1호 샤이닝 린넨 LotteOn
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+ > 뷰티 > 메이크업 > 아이메이크업 > 아이섀도우 LotteOn > 뷰티 > 메이크업 > 아이메이크업 > 아이섀도우
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+ - text: 헤라 센슈얼 누드 글로스 462호 스피치리스 (#M)SSG.COM/메이크업/립메이크업/립글로스 DepartmentSsg > 명품화장품
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+ > 메이크업 > 립메이크업 > 립글로스
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+ - text: '[미샤] 코튼 믹스 블러셔 (3호 크레이프 케이크) LotteOn > 뷰티 > 색조메이크업 > 블러셔 LotteOn > 뷰티 >
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+ 색조메이크업 > 블러셔'
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+ - text: 고-클러치 + 로쏘 미니 립스틱 01 베리 라이트 + 22A 로쏘 발렌티노 DepartmentLotteOn > 뷰티 > 메이크업 >
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+ 립스틱;DepartmentLotteOn > 뷰티 > 메이크업 > 메이크업세트 LOREAL > DepartmentLotteOn > 입생로랑 >
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+ Generic > 쿠션팩트
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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: 0.4774774774774775
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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:** 11 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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+ | 0 | <ul><li>'로레알파리 브릴리언트 시그니처 립틴트 [증정]립앤아이리무버 20ml 312호 비터레드 ssg > 뷰티 > 메이크업 > 아이메이크업 > 마스카라;ssg > 뷰티 > 메이크업 > 아이메이크업;ssg > 뷰티 > 메이크업 > 립메이크��� ssg > 뷰티 > 메이크업 > 립메이크업 > 틴트/립글로스'</li><li>'[79%+~10%+T11%]토니모리 화이트데이 메이크업 신상 SALE~79% #팔레트 #유리숍틴트 #백젤Z 04_겟잇틴트 워터풀 버터틴트_02너티크림+리무버패드 11st>스킨케어>로션/에멀젼>로션/에멀젼;쇼킹딜 홈>뷰티>스킨케어>스킨/로션;11st>스킨케어>스킨/토너>스킨/토너;11st>뷰티>스킨케어>스킨/로션;11st Hour Event > 패션/뷰티 > 뷰티 > 스킨케어 > 스킨/로션 11st Hour Event > 패션/뷰티 > 뷰티 > 스킨케어 > 스킨/로션'</li><li>'[쿠폰10%+~25%묶음]에뛰드 타임어택 50% 반값 전품목 특가 (순정/수분가득콜라겐/섀도우팔레트/클렌징폼) 86.글라스루즈틴트_BR401어텀브리즈_650002821 쇼킹딜 홈>뷰티>선케어/메이크업>아이메이크업;11st>메이크업>아이메이크업>아이섀도우;11st>뷰티>선케어/메이크업>아이메이크업;11st Hour Event > 패션/뷰티 > 뷰티 > 선케어/메이크업 > 아이메이크업 11st Hour Event > 패션/뷰티 > 뷰티 > 선케어/메이크업 > 아이메이크업'</li></ul> |
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+ | 4 | <ul><li>'[하프클럽/메이블린뉴욕]볼륨 익스프레스 하이퍼컬 워셔블 마스카라 9.2ml 블랙/9.2ml LotteOn > 뷰티 > 클렌징 > 립아이리무버 LotteOn > 뷰티 > 클렌징 > 립아이리무버'</li><li>'[쿠폰10%+20%] 키스미 글로우픽 수상템 모음전 (EX 마스카라/N 라이너/컬러링 브로우/전용 리무버 外) 03_키스미 마스카라 EX_볼륨앤컬(K118ON)_선택없음 (#M)11st>뷰티>선케어/메이크업>아이메이크업 11st Hour Event > 패션/뷰티 > 뷰티 > 선케어/메이크업 > 아이메이크업'</li><li>'픽스온 마스카라 픽서 핑크_F (#M)GSSHOP>뷰티>포인트메이크업>마스카라 GSSHOP > 뷰티 > 포인트메이크업 > 마스카라'</li></ul> |
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+ | 8 | <ul><li>'마이크로 브라우 펜슬 에스프레소 LotteOn > 뷰티 > 네일 > 네일케어 > 큐티클케어 LotteOn > 뷰티 > 네일 > 네일케어 > 큐티클케어'</li><li>'[30%+20%+11%]토니모리 2시간! 아이브로우&틴트1+1!UP TO 82% SALE 25_이지터치 워터프루프 아이브로우_02블랙 브라운 11st>선케어>선크림/선블록>선크림/선블록;쇼킹딜 홈>뷰티>선케어/메이크업>선블록;쇼킹딜 홈>뷰티>스킨케어>스킨/로션;11st>메이크업>립메이크업>립틴트;쇼킹딜 홈>뷰티>선케어/메이크업>립/치크메이크업;11st>뷰티>선케어/메이크업>립/치크메이크업;11st > 뷰티 > 선케어 > 선크림/선블록 11st Hour Event > 패션/뷰티 > 뷰티 > 선케어/메이크업 > 립/치크메이크업'</li><li>'[30%+20%+11%] 토니모리 단독 빅세일! 가정의달 선물세트&4천원부터 골라담기~85%(제비집/골드24k/선케어) 34_더 쇼킹 비건 브로우 이지플랫_03애쉬브라운 11st>스킨케어>로션/에멀젼>로션/에멀젼;쇼킹딜 홈>뷰티>스킨케어>스킨/로션;11st>스킨케어>스킨/토너>스킨/토너;11st>뷰티>스킨케어>스킨/로션;11st Hour Event > 패션/뷰티 > 뷰티 > 스킨케어 > 스킨/로션 11st Hour Event > 패션/뷰티 > 뷰티 > 스킨케어 > 스킨/로션'</li></ul> |
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+ | 9 | <ul><li>'롱웨어 크림 섀도우 스틱 숄 (#M)11st>메이크업>페이스메이크업>BB크림 11st > 뷰티 > 메이크업 > 페이스메이크업 > BB크림'</li><li>'[어퓨] 어퓨데이! 마데카소사이드외 전품목 최대 30% 풀샷 루틴 아이 팔레트 3종_3호_O0742 쇼킹딜 홈>뷰티>스킨케어>스킨/로션;11st>뷰티>스킨케어>스킨/로션;11st Hour Event > 패션/뷰티 > 뷰티 > 스킨케어 > 스킨/로션 11st Hour Event > 패션/뷰티 > 뷰티 > 스킨케어 > 스킨/로션'</li><li>'[20%+T11% ] 바닐라코 휴가철 선케어 / ~68% OFF 썸머세일 NEW&BEST (클린잇제로/커버리셔스 외) 아이크러쉬 멀티 섀도우 팔레트_03 뮤티드 로지 쇼킹딜 홈>뷰티>클렌징/팩/마스크>클렌징/필링;11st>뷰티>클렌징/팩/마스크>클렌징/필링;11st>클렌징/필링>클렌징크림>클렌징크림;11st > 뷰티 > 클렌징/필링 > 클렌징크림 11st Hour Event > 패션/뷰티 > 뷰티 > 클렌징/팩/마스크 > 클렌징/필링'</li></ul> |
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+ | 6 | <ul><li>'에뛰드 (15%+20%)상반기 결산 세일 1+1 득템찬스 옵션 158-172 페이스메이크업_171 러블리쿠키블러셔 OR202 스윗코랄캔디 (#M)화장품/향수>스킨케어>크림/젤 Gmarket > 뷰티 > 화장품/향수 > 스킨케어'</li><li>'6월 클럽클리오 썸머빅세일! 물복딱복 전컬러 입고+UPTO 50% 024.[NEW COLOR]맑게물든선샤인치크_006아침잠좋아해?_선택사항없음 쇼킹딜 홈>뷰티>선케어/메이크업>페이스메이크업;11st>뷰티>선케어/메이크업>페이스메이크업;11st>메이크업>페이스메이크업>파우더팩트;11st Hour Event > 패션/뷰티 > 뷰티 > 선케어/메이크업 > 페이스메이크업 11st Hour Event > 패션/뷰티 > 뷰티 > 선케어/메이크업 > 페이스메이크업'</li><li>'[묶음할인~25%+T11%]에뛰드 타임어택 ~60% 전품목 빅세일/호랑이의 해 무직타이거 콜라보 런칭 47.러블리 쿠키 블러셔_진저허니쿠키_650003112 쇼킹딜 홈>뷰티>선케어/메이크업>아이메이크업;11st>메이크업>아이메이크업>아이섀도우;11st>뷰티>선케어/메이크업>아이메이크업;11st Hour Event > 패션/뷰티 > 뷰티 > 선케어/메이크업 > 아이메이크업 11st Hour Event > 패션/뷰티 > 뷰티 > 선케어/메이크업 > 아이메이크업'</li></ul> |
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+ | 1 | <ul><li>'LG뷰티비디보브 립컷 라이너 PK102 그런지 핑크 ssg > 뷰티 > 메이크업 > 립메이크업;ssg > 뷰티 > 메이크업 > 립메이크업 > 립스틱 ssg > 뷰티 > 메이크업 > 립메이크업 > 립스틱'</li><li>'(신규컬러입고) 스머징 립 펜슬 스머징 립 펜슬-BE02 누드 베이지-0.8G LotteOn > 롯데온 > 뷰티 > 상단 롤링배너 (Mobile) LotteOn > 뷰티 > 메이크업 > 베이스메이크업'</li><li>'르 크레용 레브르 164 피보완느 DepartmentLotteOn > 뷰티 > 메이크업 > 립라이너/립펜슬 DepartmentLotteOn > 뷰티 > 메이크업 > 립라이너/립펜슬'</li></ul> |
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+ | 3 | <ul><li>'[20%+T11% ] 바닐라코 휴가철 선케어 / ~68% OFF 썸머세일 NEW&BEST (클린잇제로/커버리셔스 외) 벨벳 블러드 베일 립스틱_RD02 더스티 로즈 쇼킹딜 홈>뷰티>클렌징/팩/마스크>클렌징/필링;11st>뷰티>클렌징/팩/마스크>클렌징/필링;11st>클렌징/필링>클렌징크림>클렌징크림;11st > 뷰티 > 클렌징/필링 > 클렌징크림 11st Hour Event > 패션/뷰티 > 뷰티 > 클렌징/팩/마스크 > 클렌징/필링'</li><li>'[하프클럽/메이블린뉴욕]슈퍼 스테이 립 잉크 크레용 1.2g 50_오운유어엠파이어/상세설명참조 LotteOn > 뷰티 > 클렌징 > 립아이리무버 LotteOn > 뷰티 > 클렌징 > 립아이리무버'</li><li>'[~묶음20%] 에어리벨벳 물복딱복 출시기념 신상&베스트 모음 041.잉크무드매트스틱[증정]핑거팁립브러쉬1EA_001 내립마련_선택사항없음 11st>메이크업>립메이크업>립틴트;쇼킹딜 홈>뷰티>선케어/메이크업>립/치크메이크업;11st>뷰티>선케어/메이크업>립/치크메이크업;11st Hour Event > 패션/뷰티 > 뷰티 > 선케어/메이크업 > 립/치크메이크업 11st Hour Event > 패션/뷰티 > 뷰티 > 선케어/메이크업 > 립/치크메이크업'</li></ul> |
78
+ | 7 | <ul><li>'[메이크업포에버] 아쿠아 레지스트 펜슬 10 11st > 뷰티 > 메이크업 > 페이스메이크업 > 파운데이션;(#M)11st>메이크업>페이스메이크업>파운데이션 11st > 뷰티 > 메이크업 > 페이스메이크업 > 파운데이션'</li><li>'[즉시10%+묶음~15%+본품 ] 투쿨포스쿨 ! 국민쉐딩/마약쿠션/세팅팩트/틴트/프로타주/팔레트 05 1+1 무드 펜 라이너+리무버패드_2호 + 2호 쇼킹딜 홈>뷰티>선케어/메이크업>페이스메이크업;11st>뷰티>선케어/메이크업>페이스메이크업;11st>메이크업>페이스메이크업>메이크업베이스;11st > 뷰티 > 메이크업 > 페이스메이크업 11st Hour Event > 패션/뷰티 > 뷰티 > 선케어/메이크업 > 페이스메이크업'</li><li>'이니스프리 파워프루프 브러시 라이너 0.6g 2호 브라운 홈>전체상품;(#M)홈>이니스프리 Naverstore > 화장품/미용 > 색조메이크업 > 아이라이너 > 펜슬형'</li></ul> |
79
+ | 10 | <ul><li>'투쿨포스쿨 아트클래스 바이로댕 부띠크 에디션 2종 세트 (쉐딩+브러쉬) 1호 클래식+부띠크 파우치 LotteOn > 뷰티 > 메이크업 > 쉐딩/컨투어링 LotteOn > 뷰티 > 메이크업 > 쉐딩/컨투어링'</li><li>'아리따움 NC13 매직 컨투어링 파우더 1호딥브라운_본품 LotteOn > 뷰티 > 색���메이크업 > 하이라이터 LotteOn > 뷰티 > 색조메이크업 > 하이라이터'</li><li>'조르지오 아르마니 A라인 컨투어 A CONTOUR #20 (#M)위메프 > 뷰티 > 명품화장품 > 스킨케어 > 스킨/토너 위메프 > 뷰티 > 명품화장품 > 메이크업'</li></ul> |
80
+ | 2 | <ul><li>'유리아쥬 배리어덤 시카 레브르 15ml (#M)위메프 > 생활·주방용품 > 바디/헤어 > 바디로션/핸드/풋 > 립케어 위메프 > 뷰티 > 바디/헤어 > 바디로션/핸드/풋 > 립케어'</li><li>'바세린 립 테라피 7g 보습 케어 립밤 오리지날 × 7개 (#M)쿠팡 홈>뷰티>메이크업>립 메이크업>립케어 Coupang > 뷰티 > 메이크업 > 립 메이크업 > 립케어'</li><li>'쇼킹립수면팩 15g / 2개 (#M)위메프 > 뷰티 > 스킨케어 > 팩/마스크 > 립패치/립팩 위메프 > 뷰티 > 스킨케어 > 팩/마스크 > 립패치/립팩'</li></ul> |
81
+ | 5 | <ul><li>'퍼커 업&피스 아웃 4.5g (#M)뷰티>화장품/향수>포인트메이크업>기획세트 CJmall > 뷰티 > 화장품/향수 > 포인트메이크업 > 기획세트'</li><li>'[홀리데이] 유알 비.라이트 투 파티 단품없음 LotteOn > 뷰티 > 명품화장품 > 스킨케어 > 크림 LotteOn > 뷰티 > 스킨케어 > 크림'</li><li>'스튜디오 픽스 스컬프트 앤 컨투어 팔레트 라이트/미디엄 (#M)홈>화장품/미용>베이스메이크업>파우더>팩트파우더 Naverstore > 화장품/미용 > 베이스메이크업 > 파우더 > 팩트파우더'</li></ul> |
82
+
83
+ ## Evaluation
84
+
85
+ ### Metrics
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+ | Label | Accuracy |
87
+ |:--------|:---------|
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+ | **all** | 0.4775 |
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+
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+ ## Uses
91
+
92
+ ### Direct Use for Inference
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+
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+ First install the SetFit library:
95
+
96
+ ```bash
97
+ pip install setfit
98
+ ```
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+
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+ Then you can load this model and run inference.
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+
102
+ ```python
103
+ 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_bt_top7_test")
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+ # Run inference
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+ preds = model("[미샤] 코튼 믹스 블러셔 (3호 크레이프 케이크) LotteOn > 뷰티 > 색조메이크업 > 블러셔 LotteOn > 뷰티 > 색조메이크업 > 블러셔")
109
+ ```
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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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+
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+ *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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+
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+ ### Training Set Metrics
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+ | Training set | Min | Median | Max |
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+ |:-------------|:----|:--------|:----|
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+ | Word count | 10 | 24.3055 | 56 |
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+
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+ | Label | Training Sample Count |
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+ |:------|:----------------------|
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+ | 0 | 50 |
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+ | 1 | 50 |
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+ | 2 | 50 |
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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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+ | 8 | 50 |
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+ | 9 | 50 |
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+ | 10 | 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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+ | 0.0012 | 1 | 0.4173 | - |
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+ | 0.0581 | 50 | 0.4591 | - |
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+ | 0.1163 | 100 | 0.4451 | - |
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+ | 0.1744 | 150 | 0.4297 | - |
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+ | 0.2326 | 200 | 0.4184 | - |
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+ | 0.2907 | 250 | 0.4009 | - |
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+ | 0.3488 | 300 | 0.3552 | - |
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+ | 0.4070 | 350 | 0.3415 | - |
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+ | 0.4651 | 400 | 0.3027 | - |
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+ | 0.5233 | 450 | 0.2814 | - |
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+ | 0.5814 | 500 | 0.2676 | - |
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+ | 0.6395 | 550 | 0.2582 | - |
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+ | 0.6977 | 600 | 0.2545 | - |
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+ | 0.7558 | 650 | 0.2444 | - |
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+ | 0.8140 | 700 | 0.2461 | - |
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+ | 0.8721 | 750 | 0.2456 | - |
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+ | 0.9302 | 800 | 0.2411 | - |
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+ | 0.9884 | 850 | 0.2325 | - |
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+ | 1.0465 | 900 | 0.2316 | - |
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+ | 1.1047 | 950 | 0.2217 | - |
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+ | 1.1628 | 1000 | 0.2281 | - |
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+ | 1.2209 | 1050 | 0.2214 | - |
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+ | 1.2791 | 1100 | 0.2183 | - |
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+ | 1.3372 | 1150 | 0.2173 | - |
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+ | 1.3953 | 1200 | 0.2149 | - |
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+ | 1.4535 | 1250 | 0.2083 | - |
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+ | 1.5116 | 1300 | 0.2101 | - |
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+ | 1.5698 | 1350 | 0.1977 | - |
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+ | 1.6279 | 1400 | 0.1886 | - |
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+ | 1.6860 | 1450 | 0.1739 | - |
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+ | 1.7442 | 1500 | 0.1658 | - |
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+ | 1.8023 | 1550 | 0.1613 | - |
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+ | 1.8605 | 1600 | 0.1518 | - |
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+ | 1.9186 | 1650 | 0.1391 | - |
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+ | 1.9767 | 1700 | 0.1275 | - |
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+ | 2.0349 | 1750 | 0.1172 | - |
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+ | 2.0930 | 1800 | 0.0992 | - |
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+ | 2.1512 | 1850 | 0.0901 | - |
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+ | 2.2093 | 1900 | 0.0739 | - |
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+ | 2.2674 | 1950 | 0.0641 | - |
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+ | 2.3256 | 2000 | 0.055 | - |
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+ | 2.3837 | 2050 | 0.0451 | - |
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+ | 2.4419 | 2100 | 0.0439 | - |
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+ | 2.5 | 2150 | 0.036 | - |
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+ | 2.5581 | 2200 | 0.0304 | - |
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+ | 2.6163 | 2250 | 0.0204 | - |
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+ | 2.6744 | 2300 | 0.0182 | - |
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+ | 2.7326 | 2350 | 0.0143 | - |
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+ | 2.7907 | 2400 | 0.0131 | - |
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+ | 2.8488 | 2450 | 0.011 | - |
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+ | 2.9070 | 2500 | 0.0053 | - |
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+ | 2.9651 | 2550 | 0.0059 | - |
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+ | 3.0233 | 2600 | 0.0035 | - |
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+ | 3.0814 | 2650 | 0.0027 | - |
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+ | 3.1395 | 2700 | 0.0046 | - |
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+ | 3.1977 | 2750 | 0.0043 | - |
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+ | 3.2558 | 2800 | 0.0025 | - |
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+ | 3.3140 | 2850 | 0.0023 | - |
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+ | 3.3721 | 2900 | 0.0016 | - |
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+ | 3.4302 | 2950 | 0.0009 | - |
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+ | 3.4884 | 3000 | 0.0005 | - |
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+ | 3.5465 | 3050 | 0.0003 | - |
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+ | 3.6047 | 3100 | 0.0004 | - |
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+ | 3.6628 | 3150 | 0.0006 | - |
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+ | 3.7209 | 3200 | 0.0006 | - |
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+ | 3.7791 | 3250 | 0.0002 | - |
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+ | 3.8372 | 3300 | 0.0001 | - |
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+ | 3.8953 | 3350 | 0.0001 | - |
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+ | 3.9535 | 3400 | 0.0002 | - |
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+ | 4.0116 | 3450 | 0.0003 | - |
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+ | 4.0698 | 3500 | 0.0003 | - |
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+ | 4.1279 | 3550 | 0.0001 | - |
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+ | 4.1860 | 3600 | 0.0002 | - |
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+ | 4.2442 | 3650 | 0.0002 | - |
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+ | 4.3023 | 3700 | 0.0001 | - |
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+ | 4.3605 | 3750 | 0.0001 | - |
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+ | 4.4186 | 3800 | 0.0 | - |
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+ | 4.4767 | 3850 | 0.0001 | - |
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+ | 4.5349 | 3900 | 0.0002 | - |
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+ | 4.5930 | 3950 | 0.0001 | - |
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+ | 4.6512 | 4000 | 0.0 | - |
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+ | 4.7093 | 4050 | 0.0 | - |
260
+ | 4.7674 | 4100 | 0.0001 | - |
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+ | 4.8256 | 4150 | 0.0003 | - |
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+ | 4.8837 | 4200 | 0.0009 | - |
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+ | 4.9419 | 4250 | 0.0043 | - |
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+ | 5.0 | 4300 | 0.0217 | - |
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+ | 5.0581 | 4350 | 0.0111 | - |
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+ | 5.1163 | 4400 | 0.0037 | - |
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+ | 5.1744 | 4450 | 0.0062 | - |
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+ | 5.2326 | 4500 | 0.0052 | - |
269
+ | 5.2907 | 4550 | 0.0035 | - |
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+ | 5.3488 | 4600 | 0.0006 | - |
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+ | 5.4070 | 4650 | 0.0003 | - |
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+ | 5.4651 | 4700 | 0.0002 | - |
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+ | 5.5233 | 4750 | 0.0003 | - |
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+ | 5.5814 | 4800 | 0.0003 | - |
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+ | 5.6395 | 4850 | 0.0004 | - |
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+ | 5.6977 | 4900 | 0.0002 | - |
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+ | 5.7558 | 4950 | 0.0001 | - |
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+ | 5.8140 | 5000 | 0.0 | - |
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+ | 5.8721 | 5050 | 0.0002 | - |
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+ | 5.9302 | 5100 | 0.0001 | - |
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+ | 5.9884 | 5150 | 0.0003 | - |
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+ | 6.0465 | 5200 | 0.0017 | - |
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+ | 6.1047 | 5250 | 0.0015 | - |
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+ | 6.1628 | 5300 | 0.0007 | - |
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+ | 6.2209 | 5350 | 0.0009 | - |
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+ | 6.2791 | 5400 | 0.0008 | - |
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+ | 6.3372 | 5450 | 0.0007 | - |
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+ | 6.3953 | 5500 | 0.0001 | - |
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+ | 6.4535 | 5550 | 0.0001 | - |
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+ | 6.5116 | 5600 | 0.0 | - |
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+ | 6.5698 | 5650 | 0.0 | - |
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+ | 6.6279 | 5700 | 0.0 | - |
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+ | 6.6860 | 5750 | 0.0 | - |
294
+ | 6.7442 | 5800 | 0.0 | - |
295
+ | 6.8023 | 5850 | 0.0004 | - |
296
+ | 6.8605 | 5900 | 0.0004 | - |
297
+ | 6.9186 | 5950 | 0.0002 | - |
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+ | 6.9767 | 6000 | 0.0002 | - |
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+ | 7.0349 | 6050 | 0.0027 | - |
300
+ | 7.0930 | 6100 | 0.0005 | - |
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+ | 7.1512 | 6150 | 0.0002 | - |
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+ | 7.2093 | 6200 | 0.0008 | - |
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+ | 7.2674 | 6250 | 0.0017 | - |
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+ | 7.3256 | 6300 | 0.0001 | - |
305
+ | 7.3837 | 6350 | 0.0 | - |
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+ | 7.4419 | 6400 | 0.0 | - |
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+ | 7.5 | 6450 | 0.0 | - |
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+ | 7.5581 | 6500 | 0.0 | - |
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+ | 7.6163 | 6550 | 0.0 | - |
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+ | 7.6744 | 6600 | 0.0 | - |
311
+ | 7.7326 | 6650 | 0.0 | - |
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+ | 7.7907 | 6700 | 0.0 | - |
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+ | 7.8488 | 6750 | 0.0 | - |
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+ | 7.9070 | 6800 | 0.0 | - |
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+ | 7.9651 | 6850 | 0.0002 | - |
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+ | 8.0233 | 6900 | 0.0006 | - |
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+ | 8.0814 | 6950 | 0.0012 | - |
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+ | 8.1395 | 7000 | 0.0054 | - |
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+ | 8.1977 | 7050 | 0.0012 | - |
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+ | 8.2558 | 7100 | 0.0004 | - |
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+ | 8.3140 | 7150 | 0.001 | - |
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+ | 8.3721 | 7200 | 0.0002 | - |
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+ | 8.4302 | 7250 | 0.0002 | - |
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+ | 8.4884 | 7300 | 0.0002 | - |
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+ | 8.5465 | 7350 | 0.0002 | - |
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+ | 8.6047 | 7400 | 0.0001 | - |
327
+ | 8.6628 | 7450 | 0.0 | - |
328
+ | 8.7209 | 7500 | 0.0 | - |
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+ | 8.7791 | 7550 | 0.0 | - |
330
+ | 8.8372 | 7600 | 0.0 | - |
331
+ | 8.8953 | 7650 | 0.0 | - |
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+ | 8.9535 | 7700 | 0.0 | - |
333
+ | 9.0116 | 7750 | 0.0 | - |
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+ | 9.0698 | 7800 | 0.0 | - |
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+ | 9.1279 | 7850 | 0.0 | - |
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+ | 9.1860 | 7900 | 0.0 | - |
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+ | 9.2442 | 7950 | 0.0 | - |
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+ | 9.3023 | 8000 | 0.0 | - |
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+ | 9.3605 | 8050 | 0.0 | - |
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+ | 9.4186 | 8100 | 0.0 | - |
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+ | 9.4767 | 8150 | 0.0 | - |
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+ | 9.5349 | 8200 | 0.0 | - |
343
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662
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663
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664
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665
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666
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667
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668
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669
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670
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671
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672
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673
+ | 28.7791 | 24750 | 0.0 | - |
674
+ | 28.8372 | 24800 | 0.0 | - |
675
+ | 28.8953 | 24850 | 0.0 | - |
676
+ | 28.9535 | 24900 | 0.0 | - |
677
+ | 29.0116 | 24950 | 0.0 | - |
678
+ | 29.0698 | 25000 | 0.0 | - |
679
+ | 29.1279 | 25050 | 0.0 | - |
680
+ | 29.1860 | 25100 | 0.0 | - |
681
+ | 29.2442 | 25150 | 0.0 | - |
682
+ | 29.3023 | 25200 | 0.0 | - |
683
+ | 29.3605 | 25250 | 0.0 | - |
684
+ | 29.4186 | 25300 | 0.0 | - |
685
+ | 29.4767 | 25350 | 0.0 | - |
686
+ | 29.5349 | 25400 | 0.0 | - |
687
+ | 29.5930 | 25450 | 0.0 | - |
688
+ | 29.6512 | 25500 | 0.0 | - |
689
+ | 29.7093 | 25550 | 0.0 | - |
690
+ | 29.7674 | 25600 | 0.0 | - |
691
+ | 29.8256 | 25650 | 0.0 | - |
692
+ | 29.8837 | 25700 | 0.0 | - |
693
+ | 29.9419 | 25750 | 0.0 | - |
694
+ | 30.0 | 25800 | 0.0 | - |
695
+
696
+ ### Framework Versions
697
+ - Python: 3.10.12
698
+ - SetFit: 1.1.0
699
+ - Sentence Transformers: 3.3.1
700
+ - Transformers: 4.44.2
701
+ - PyTorch: 2.2.0a0+81ea7a4
702
+ - Datasets: 3.2.0
703
+ - Tokenizers: 0.19.1
704
+
705
+ ## Citation
706
+
707
+ ### BibTeX
708
+ ```bibtex
709
+ @article{https://doi.org/10.48550/arxiv.2209.11055,
710
+ doi = {10.48550/ARXIV.2209.11055},
711
+ url = {https://arxiv.org/abs/2209.11055},
712
+ author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
713
+ keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
714
+ title = {Efficient Few-Shot Learning Without Prompts},
715
+ publisher = {arXiv},
716
+ year = {2022},
717
+ copyright = {Creative Commons Attribution 4.0 International}
718
+ }
719
+ ```
720
+
721
+ <!--
722
+ ## Glossary
723
+
724
+ *Clearly define terms in order to be accessible across audiences.*
725
+ -->
726
+
727
+ <!--
728
+ ## Model Card Authors
729
+
730
+ *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
731
+ -->
732
+
733
+ <!--
734
+ ## Model Card Contact
735
+
736
+ *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
737
+ -->
config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "_name_or_path": "mini1013/master_item_bt_test_flat_top",
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+ "architectures": [
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+ "RobertaModel"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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