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mini1013
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master_item_el

Text Classification
setfit
Safetensors
sentence-transformers
roberta
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files
xet
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Files changed (13) hide show
  1. 1_Pooling/config.json +10 -0
  2. README.md +999 -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: klue/roberta-base
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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: 아이피타임 기가비트 WIFI6 유무선공유기 AX6000M 디메이드 (DMADE)
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+ - text: 삼성전자 UN32N4000AFXKR 32인치 HD TV 주문이행을 위한 필수동의_벽걸이형 주식회사 더세븐
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+ - text: 한일전기 강력모터 만능 핸드블렌더 HHM-800 (주)현두상사
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+ - text: 아이폰 14 13프로 13 사생활보호 액정보호필름 4매 2.5D 강화유리 보호필름 4매_아이폰13미니 본조르노온라인 주식회사
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+ - text: 닌텐도 스위치 OLED 네오 그립 케이스+맥스캐리 / 스컬앤코 정품 네온(레드/블루) 로그인소프트
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+ inference: true
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+ ---
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+
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+ # SetFit with klue/roberta-base
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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 [klue/roberta-base](https://huggingface.co/klue/roberta-base) 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:** [klue/roberta-base](https://huggingface.co/klue/roberta-base)
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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:** 26 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>'잘만 ZM-NS2000 노트북쿨러 받침대 17인치 저소음 쿨링패드 (주)수빈인포텍'</li><li>'- 공식 대리점 - 잘만테크 ZM-NS1000 주식회사 엘케이존'</li><li>'MSI 프레스티지 16 AI Evo B1MG 노트북 키스킨 커버 무소음 키보드 올유어리브'</li></ul> |
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+ | 2 | <ul><li>'스틸시리즈 QCK Heavy Medium 게이밍 마우스패드 320mm x 270mm x 6mm 채윤상무 유한회사'</li><li>'로지텍 K380 키스킨 키보드 커버 덮개 하이버니아'</li><li>'포인트앤뷰 모니터 부착형 시력보호필름 (BLC-27W9) 컴튜브 주식회사'</li></ul> |
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+ | 5 | <ul><li>'-Creative BT-W3 - 주식회사 케이에이치몰'</li><li>'NEXT-USB10PW (유전원 10M USB리피터 어댑터 포함) (주)아트정보통신'</li><li>'IPTIME H705 스위칭허브 5포트 100Mbps 위키툴즈'</li></ul> |
54
+ | 17 | <ul><li>'보만 원터치 알람 7구 2단 트레이 계란찜기 EB7210WG 바이 마르코 (by MARCO)'</li><li>'테팔 IH2108 동의합니다 새봄이야'</li><li>'삼성전자 비스포크 RQ49C9401H6 (새틴화이트+새틴베이지) 주식회사 인앤아웃'</li></ul> |
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+ | 4 | <ul><li>'위니아 WVV06ENK 자가설치 동의 칙바이핏'</li><li>'신일 업소용 산업용 공업용 야외 실속형 1구 실외기없는 이동식 코끼리 에어컨 SMA-PC3500G/ MJ물산'</li><li>'[50L] 린나이 전기온수기 REW-EH50U 바닥설치형 상향식 (기본설치비 포함+수도권 ) 하이테크 솔루션'</li></ul> |
56
+ | 18 | <ul><li>'드로잉장갑 와콤 신티크 XP-PEN 휴이온 액정타블렛 아이패드 태블릿 터치오류방지 '</li><li>'로지텍 MK295 SILENT WIRELESS COMBO 무선 콤보 벌크 택배 병행 MK295 블랙 하나인터내셔널'</li><li>'지클릭커 오피스프로 인체공학 무소음 무선 키보드 마우스 세트 핑크 그린+키스킨포함 주식회사 케이엑스지'</li></ul> |
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+ | 8 | <ul><li>'( ASUS TUF P1 게이밍패드 증 정 ) 크리에이티브 사운드블라스터 GC7 (주)유아이커머스'</li><li>'로지텍 MEET UP CONFERENCE CAM 컨퍼런스캠 병행 이엔티앤디'</li><li>'[HIKVISION 공식 수입원] 하이크비전 DS-7716NI-K4/16P 16채널 네트워크 녹화기 (주)씨넥스존'</li></ul> |
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+ | 10 | <ul><li>'[NM-AM400WH] 화이트 다용도 메탈 받침대 (400x240x80mm) 주식회사 스마트포커스'</li><li>'셋탑박스 게임기 리모컨 수납 TV 모니터 TOP 공간선반 공유기거치대 제이(J)가게'</li><li>'[프라임디렉트] 아답터, 220V / 12V 3A [내경4.4mm/외경6.5mm] 전원 케이블 미포함 [비닐포장] 삼성모니터전용 (주)컴퓨존'</li></ul> |
59
+ | 20 | <ul><li>'난라이트 포르자150 방송 영상 제품 촬영 지속광 LED 조명 (주)유쾌한생각'</li><li>'코닥 울트라 F9 필름 카메라 리유저블 플래시 35mm 필카 Kodak UltraF9 Film Camera Reusable 노란색_1 롤 필름으로 어메이징핑거스 (Amazing Fingers)'</li><li>'픽디자인 클러치 / 납품 세금계산서 가능 주식회사 모즈인터내셔날'</li></ul> |
60
+ | 0 | <ul><li>'[INTEL] NUC Kits NUC11ATKC2 [기본제품] (주)컴퓨존'</li><li>'[중복3%+카드3%] Apple 2023 아이맥 24 M3 (8C CPU 10C GPU)/8GB/512GB - 핑크 (MQRU3KH/A) 핑크 MQRU3KH/A (주)블루박스 (Blue Box Co., Ltd)'</li><li>'ASRock DeskMini X300 120W 베어본 미니PC 대원씨티에스 CPU/RAM/SSD미포함 주식회사 더큰솔루션'</li></ul> |
61
+ | 12 | <ul><li>'Movavi Video Suite 2024 개인용 라이선스 / 모바비2024 메모리콕'</li><li>'Adobe Creative Cloud Illustrator(CC) [Single/기업용/신규/1년/라이선스] 어도비 / 일러스트레이터 / 일러스트 / 일러스트CC 주식회사 시큐어플래닛'</li><li>'[MS 윈도우 XP Home K SP3] 윈도우XP홈SP3 coem한글/Win XPHome서비스팩3정품라벨 (주)소프트존'</li></ul> |
62
+ | 11 | <ul><li>'에코웰 T30-158A 영스토어'</li><li>'스마트소닉 프로 충전형 음파칫솔(RLT211 RLT231) 전용 칫솔모 일반형 미세모 슬림헤드 미세모 써드애비뉴'</li><li>'무료설치 에버넷 샷시문도어락 상가번호키 패션문도어록 가마찌도어샤시 EN250-N A지역무료설치 진흥피닉스(주)'</li></ul> |
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+ | 1 | <ul><li>'GIGABYTE B760M AORUS ELITE [피씨디렉트] 주식회사 피씨반도'</li><li>'DK PowerColor 라데온 RX 6700 XT Fighter D6 12GB 주식회사디케이'</li><li>'GIGABYTE H610M K D4 피씨디렉트 (주)프랜드아이엔지'</li></ul> |
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+ | 13 | <ul><li>'피코 4 PICO 4 [256GB] (주)컴퓨존'</li><li>'더 프레임 KQ75LSB03AFXKR OLED 4K 브라운 벽걸이 GS 지에스홈어플라이언스'</li><li>'포티(FOTI) KG-650UL (주)태원미디어'</li></ul> |
65
+ | 15 | <ul><li>'BRAUN 시리즈X M1100 동의함 도담챌린지'</li><li>'(022_4)필립스 SkinIQ 9000시리즈 S9985/59 동의합니다._9000시리즈 S9985/59 예스컴퍼니'</li><li>'하이맥스 장미바리깡 피니쉬컷 스크래치 아트컷 이발기 CL-300 핑크 남자 여자 옆머리 뒷머리 정리 핑크 주식회사 다주자뷰티'</li></ul> |
66
+ | 25 | <ul><li>'몬스터 이브 고속 무선 충전 PD 보조배터리 20000mah 18W YB-K20000 몬스터 이브 보조배터리_블랙 주식회사 요이치'</li><li>'베루스 갤럭시 Z폴드6 케이스 카드 2장 수납 자동 힌지보호 S펜 수납 모던고 펜커버 갤럭시 폴드6(일반힌지 / 펜수납x)_레모네이드 (주)베루스디자인'</li><li>'6IN1 애플워치 갤럭시워치 에어팟 버즈 무선충전기 나비 NV184-MWC10 블랙 초식공룡마켓'</li></ul> |
67
+ | 14 | <ul><li>'캔스톤 ST-80 쿠키컴'</li><li>'애프터샥 샥즈 오픈런 S803 그레이(+충전케이블 포함) 준랑마켓'</li><li>'브리츠카세트플레이어 BZ-BBX1 블루투스 라디오 녹음 USB 레트로 카세트플레이어 세븐컴'</li></ul> |
68
+ | 16 | <ul><li>'넥스트 852DCU3 하드 2베이 도킹스테���션 (주)에이치앤인터내셔널'</li><li>'넥스트유 NEXT-309ODD-BR 외장 ODD 드라이브 (주)수빈인포텍'</li><li>'[ORICO 국내총판] 오리코 PHP-35 3.5형 하드보관함(가로형) 그레이 오리코테크'</li></ul> |
69
+ | 6 | <ul><li>'MNW93KH/A Apple 맥북프로m2 맥북16인치 2023 M2 Pro 1tb 그레이 위브몰'</li><li>'s)14T90Q-GA79K/i7-1260P/16GB/512GB/터치/블랙/윈도 11 (주)스페이스시스템'</li><li>'[HP] 파빌리온 플러스 14-ew0019TU [기본제품] 주식회사 에티버스이비티'</li></ul> |
70
+ | 24 | <ul><li>'삼성 갤럭시 S24 플러스 5G 512GB 자급제 SM-S926 / AIN 그레이 주식회사 아인스리테일'</li><li>'[Apple 아이폰15 프로] 애플 아이폰 15 프로 256기가 블루 티타늄 (국내 정식 발매 제품) MTV63KH/A 슈박스 (Shoe Box)'</li><li>'Apple 아이폰 14 프로 맥스 128GB [자급제] 딥 퍼플 판타지인베스트먼트'</li></ul> |
71
+ | 3 | <ul><li>'소니 PS5 EA SPORTS 24 번들 (디스크 에디션) (주) 신세계아이앤씨'</li><li>'닌텐도 스위치 신형 네온블루 (HAD) & 링피트 어드벤처 (주)컴퓨존'</li><li>'(PC/모장) 마인크래프트 자바 에디션 Minecraft / 정품 코드 발송 한글판 스팀스토어'</li></ul> |
72
+ | 21 | <ul><li>'[Lenovo Certified] Tab M11 with Pen 그레이 128GB 400니트 국내정식수입 1년보증 (1년 파손보험적용상품) LTE (주)중앙씨앤씨'</li><li>'삼성전자 갤럭시탭 S8 SM-X700 WiFi 256GB 그라파이트 - 정품 - 유니스턴 그라파이트 도트샤스(Dans te chance)'</li><li>'Apple 아이패드 10세대 WIFI 64G 핑크 (MPQ33KH/A) / Valueone 밸류앤포'</li></ul> |
73
+ | 23 | <ul><li>'베스타 BK-500 전자사전 영어특화 성경탑재 다국어사전 옥스포드 북웜 (주)대경플러스'</li><li>'iFLYTEK 스캔톡 AI-DSA-001 (핑크) 초이스컴퓨터 주식회사'</li><li>'베스타 전자사전 BK-500/신구약성경 옥스퍼드북웜탑재/한자 일본어 불어 독일어 중국어 케이온'</li></ul> |
74
+ | 19 | <ul><li>'(전용) 한경희 무선청소기 HCV-B400 PRO 전용 클린타워 모터 보호 헤파필터 '</li><li>'AVA 프리미엄 고압세척기 휴대용 가정용 고압세차기 아바 GO P55 에이지에스'</li><li>'차이슨 무선청소기 부품모음 D18 전용배터리 MinSellAmount 디베아공식서비스'</li></ul> |
75
+ | 9 | <ul><li>'[크로스오버] 24B3 IPS 75 넘사벽 게이밍 (주)컴퓨존'</li><li>'BenQ EW3270U 아이케어 (무결점) 32형 주식회사 피씨반도'</li><li>'DELL P2422H (주)아이티엔조이'</li></ul> |
76
+ | 22 | <ul><li>'체험매장-합정점/와콤 인튜어스4 5 Pro용 표준그립펜(KP-501E) 주식회사 오픈몰'</li><li>'[N페이적립+커피쿠폰] ESR 아이패드 프로13 폴리오 케이스 프로13_네이비 EC587 주식회사 샘빌'</li><li>'뷰씨 아이패드 프로 6세대 5세대 4세대 12.9인치 투명 강화유리 액정 보호필름 2매 강화유리필름- 블루라이트(2매) 주식회사 오토스마트'</li></ul> |
77
+
78
+ ## Uses
79
+
80
+ ### Direct Use for Inference
81
+
82
+ First install the SetFit library:
83
+
84
+ ```bash
85
+ pip install setfit
86
+ ```
87
+
88
+ Then you can load this model and run inference.
89
+
90
+ ```python
91
+ from setfit import SetFitModel
92
+
93
+ # Download from the 🤗 Hub
94
+ model = SetFitModel.from_pretrained("mini1013/master_item_el")
95
+ # Run inference
96
+ preds = model("한일전기 강력모터 만능 핸드블렌더 HHM-800 (주)현두상사")
97
+ ```
98
+
99
+ <!--
100
+ ### Downstream Use
101
+
102
+ *List how someone could finetune this model on their own dataset.*
103
+ -->
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+
105
+ <!--
106
+ ### Out-of-Scope Use
107
+
108
+ *List how the model may foreseeably be misused and address what users ought not to do with the model.*
109
+ -->
110
+
111
+ <!--
112
+ ## Bias, Risks and Limitations
113
+
114
+ *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
115
+ -->
116
+
117
+ <!--
118
+ ### Recommendations
119
+
120
+ *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
121
+ -->
122
+
123
+ ## Training Details
124
+
125
+ ### Training Set Metrics
126
+ | Training set | Min | Median | Max |
127
+ |:-------------|:----|:-------|:----|
128
+ | Word count | 3 | 9.6062 | 34 |
129
+
130
+ | Label | Training Sample Count |
131
+ |:------|:----------------------|
132
+ | 0 | 136 |
133
+ | 1 | 500 |
134
+ | 2 | 408 |
135
+ | 3 | 243 |
136
+ | 4 | 913 |
137
+ | 5 | 621 |
138
+ | 6 | 50 |
139
+ | 7 | 422 |
140
+ | 8 | 394 |
141
+ | 9 | 50 |
142
+ | 10 | 218 |
143
+ | 11 | 808 |
144
+ | 12 | 183 |
145
+ | 13 | 350 |
146
+ | 14 | 979 |
147
+ | 15 | 795 |
148
+ | 16 | 510 |
149
+ | 17 | 2159 |
150
+ | 18 | 413 |
151
+ | 19 | 129 |
152
+ | 20 | 950 |
153
+ | 21 | 50 |
154
+ | 22 | 200 |
155
+ | 23 | 181 |
156
+ | 24 | 50 |
157
+ | 25 | 699 |
158
+
159
+ ### Training Hyperparameters
160
+ - batch_size: (512, 512)
161
+ - num_epochs: (20, 20)
162
+ - max_steps: -1
163
+ - sampling_strategy: oversampling
164
+ - num_iterations: 40
165
+ - body_learning_rate: (2e-05, 2e-05)
166
+ - head_learning_rate: 2e-05
167
+ - loss: CosineSimilarityLoss
168
+ - distance_metric: cosine_distance
169
+ - margin: 0.25
170
+ - end_to_end: False
171
+ - use_amp: False
172
+ - warmup_proportion: 0.1
173
+ - seed: 42
174
+ - eval_max_steps: -1
175
+ - load_best_model_at_end: False
176
+
177
+ ### Training Results
178
+ | Epoch | Step | Training Loss | Validation Loss |
179
+ |:-------:|:-----:|:-------------:|:---------------:|
180
+ | 0.0005 | 1 | 0.4172 | - |
181
+ | 0.0258 | 50 | 0.3977 | - |
182
+ | 0.0515 | 100 | 0.3704 | - |
183
+ | 0.0773 | 150 | 0.3008 | - |
184
+ | 0.1031 | 200 | 0.2876 | - |
185
+ | 0.1289 | 250 | 0.2411 | - |
186
+ | 0.1546 | 300 | 0.2103 | - |
187
+ | 0.1804 | 350 | 0.1902 | - |
188
+ | 0.2062 | 400 | 0.1539 | - |
189
+ | 0.2320 | 450 | 0.1735 | - |
190
+ | 0.2577 | 500 | 0.1427 | - |
191
+ | 0.2835 | 550 | 0.1658 | - |
192
+ | 0.3093 | 600 | 0.1159 | - |
193
+ | 0.3351 | 650 | 0.1265 | - |
194
+ | 0.3608 | 700 | 0.1254 | - |
195
+ | 0.3866 | 750 | 0.1167 | - |
196
+ | 0.4124 | 800 | 0.1132 | - |
197
+ | 0.4381 | 850 | 0.0885 | - |
198
+ | 0.4639 | 900 | 0.0962 | - |
199
+ | 0.4897 | 950 | 0.0899 | - |
200
+ | 0.5155 | 1000 | 0.0778 | - |
201
+ | 0.5412 | 1050 | 0.0801 | - |
202
+ | 0.5670 | 1100 | 0.0687 | - |
203
+ | 0.5928 | 1150 | 0.0577 | - |
204
+ | 0.6186 | 1200 | 0.0497 | - |
205
+ | 0.6443 | 1250 | 0.0519 | - |
206
+ | 0.6701 | 1300 | 0.0463 | - |
207
+ | 0.6959 | 1350 | 0.0459 | - |
208
+ | 0.7216 | 1400 | 0.0544 | - |
209
+ | 0.7474 | 1450 | 0.0388 | - |
210
+ | 0.7732 | 1500 | 0.0391 | - |
211
+ | 0.7990 | 1550 | 0.0326 | - |
212
+ | 0.8247 | 1600 | 0.0422 | - |
213
+ | 0.8505 | 1650 | 0.0289 | - |
214
+ | 0.8763 | 1700 | 0.0294 | - |
215
+ | 0.9021 | 1750 | 0.0204 | - |
216
+ | 0.9278 | 1800 | 0.0249 | - |
217
+ | 0.9536 | 1850 | 0.0252 | - |
218
+ | 0.9794 | 1900 | 0.018 | - |
219
+ | 1.0052 | 1950 | 0.0184 | - |
220
+ | 1.0309 | 2000 | 0.0133 | - |
221
+ | 1.0567 | 2050 | 0.0151 | - |
222
+ | 1.0825 | 2100 | 0.0197 | - |
223
+ | 1.1082 | 2150 | 0.015 | - |
224
+ | 1.1340 | 2200 | 0.0142 | - |
225
+ | 1.1598 | 2250 | 0.0105 | - |
226
+ | 1.1856 | 2300 | 0.0091 | - |
227
+ | 1.2113 | 2350 | 0.0103 | - |
228
+ | 1.2371 | 2400 | 0.0131 | - |
229
+ | 1.2629 | 2450 | 0.0119 | - |
230
+ | 1.2887 | 2500 | 0.0125 | - |
231
+ | 1.3144 | 2550 | 0.01 | - |
232
+ | 1.3402 | 2600 | 0.0041 | - |
233
+ | 1.3660 | 2650 | 0.0064 | - |
234
+ | 1.3918 | 2700 | 0.0059 | - |
235
+ | 1.4175 | 2750 | 0.005 | - |
236
+ | 1.4433 | 2800 | 0.0075 | - |
237
+ | 1.4691 | 2850 | 0.0042 | - |
238
+ | 1.4948 | 2900 | 0.0041 | - |
239
+ | 1.5206 | 2950 | 0.0049 | - |
240
+ | 1.5464 | 3000 | 0.0048 | - |
241
+ | 1.5722 | 3050 | 0.006 | - |
242
+ | 1.5979 | 3100 | 0.0049 | - |
243
+ | 1.6237 | 3150 | 0.0058 | - |
244
+ | 1.6495 | 3200 | 0.0029 | - |
245
+ | 1.6753 | 3250 | 0.0043 | - |
246
+ | 1.7010 | 3300 | 0.0026 | - |
247
+ | 1.7268 | 3350 | 0.0025 | - |
248
+ | 1.7526 | 3400 | 0.0026 | - |
249
+ | 1.7784 | 3450 | 0.0018 | - |
250
+ | 1.8041 | 3500 | 0.003 | - |
251
+ | 1.8299 | 3550 | 0.0036 | - |
252
+ | 1.8557 | 3600 | 0.0009 | - |
253
+ | 1.8814 | 3650 | 0.0022 | - |
254
+ | 1.9072 | 3700 | 0.0021 | - |
255
+ | 1.9330 | 3750 | 0.0012 | - |
256
+ | 1.9588 | 3800 | 0.0039 | - |
257
+ | 1.9845 | 3850 | 0.0028 | - |
258
+ | 2.0103 | 3900 | 0.0007 | - |
259
+ | 2.0361 | 3950 | 0.0028 | - |
260
+ | 2.0619 | 4000 | 0.0009 | - |
261
+ | 2.0876 | 4050 | 0.0005 | - |
262
+ | 2.1134 | 4100 | 0.0014 | - |
263
+ | 2.1392 | 4150 | 0.0006 | - |
264
+ | 2.1649 | 4200 | 0.0006 | - |
265
+ | 2.1907 | 4250 | 0.0013 | - |
266
+ | 2.2165 | 4300 | 0.0004 | - |
267
+ | 2.2423 | 4350 | 0.0004 | - |
268
+ | 2.2680 | 4400 | 0.0002 | - |
269
+ | 2.2938 | 4450 | 0.0005 | - |
270
+ | 2.3196 | 4500 | 0.0007 | - |
271
+ | 2.3454 | 4550 | 0.0002 | - |
272
+ | 2.3711 | 4600 | 0.0009 | - |
273
+ | 2.3969 | 4650 | 0.0006 | - |
274
+ | 2.4227 | 4700 | 0.0007 | - |
275
+ | 2.4485 | 4750 | 0.0002 | - |
276
+ | 2.4742 | 4800 | 0.0008 | - |
277
+ | 2.5 | 4850 | 0.0019 | - |
278
+ | 2.5258 | 4900 | 0.0004 | - |
279
+ | 2.5515 | 4950 | 0.0008 | - |
280
+ | 2.5773 | 5000 | 0.0002 | - |
281
+ | 2.6031 | 5050 | 0.0001 | - |
282
+ | 2.6289 | 5100 | 0.0012 | - |
283
+ | 2.6546 | 5150 | 0.0017 | - |
284
+ | 2.6804 | 5200 | 0.0001 | - |
285
+ | 2.7062 | 5250 | 0.0002 | - |
286
+ | 2.7320 | 5300 | 0.0016 | - |
287
+ | 2.7577 | 5350 | 0.0002 | - |
288
+ | 2.7835 | 5400 | 0.0002 | - |
289
+ | 2.8093 | 5450 | 0.0003 | - |
290
+ | 2.8351 | 5500 | 0.0018 | - |
291
+ | 2.8608 | 5550 | 0.0009 | - |
292
+ | 2.8866 | 5600 | 0.0007 | - |
293
+ | 2.9124 | 5650 | 0.0013 | - |
294
+ | 2.9381 | 5700 | 0.002 | - |
295
+ | 2.9639 | 5750 | 0.0003 | - |
296
+ | 2.9897 | 5800 | 0.0003 | - |
297
+ | 3.0155 | 5850 | 0.0001 | - |
298
+ | 3.0412 | 5900 | 0.0016 | - |
299
+ | 3.0670 | 5950 | 0.0004 | - |
300
+ | 3.0928 | 6000 | 0.0012 | - |
301
+ | 3.1186 | 6050 | 0.0004 | - |
302
+ | 3.1443 | 6100 | 0.0019 | - |
303
+ | 3.1701 | 6150 | 0.0021 | - |
304
+ | 3.1959 | 6200 | 0.002 | - |
305
+ | 3.2216 | 6250 | 0.0001 | - |
306
+ | 3.2474 | 6300 | 0.0002 | - |
307
+ | 3.2732 | 6350 | 0.0001 | - |
308
+ | 3.2990 | 6400 | 0.0016 | - |
309
+ | 3.3247 | 6450 | 0.0006 | - |
310
+ | 3.3505 | 6500 | 0.0009 | - |
311
+ | 3.3763 | 6550 | 0.0006 | - |
312
+ | 3.4021 | 6600 | 0.0001 | - |
313
+ | 3.4278 | 6650 | 0.0002 | - |
314
+ | 3.4536 | 6700 | 0.0001 | - |
315
+ | 3.4794 | 6750 | 0.0037 | - |
316
+ | 3.5052 | 6800 | 0.0003 | - |
317
+ | 3.5309 | 6850 | 0.0001 | - |
318
+ | 3.5567 | 6900 | 0.0 | - |
319
+ | 3.5825 | 6950 | 0.0016 | - |
320
+ | 3.6082 | 7000 | 0.0018 | - |
321
+ | 3.6340 | 7050 | 0.0003 | - |
322
+ | 3.6598 | 7100 | 0.0001 | - |
323
+ | 3.6856 | 7150 | 0.0008 | - |
324
+ | 3.7113 | 7200 | 0.0003 | - |
325
+ | 3.7371 | 7250 | 0.0001 | - |
326
+ | 3.7629 | 7300 | 0.0008 | - |
327
+ | 3.7887 | 7350 | 0.0002 | - |
328
+ | 3.8144 | 7400 | 0.0005 | - |
329
+ | 3.8402 | 7450 | 0.0017 | - |
330
+ | 3.8660 | 7500 | 0.0001 | - |
331
+ | 3.8918 | 7550 | 0.0001 | - |
332
+ | 3.9175 | 7600 | 0.0001 | - |
333
+ | 3.9433 | 7650 | 0.0002 | - |
334
+ | 3.9691 | 7700 | 0.0004 | - |
335
+ | 3.9948 | 7750 | 0.001 | - |
336
+ | 4.0206 | 7800 | 0.0002 | - |
337
+ | 4.0464 | 7850 | 0.0007 | - |
338
+ | 4.0722 | 7900 | 0.0 | - |
339
+ | 4.0979 | 7950 | 0.0005 | - |
340
+ | 4.1237 | 8000 | 0.0001 | - |
341
+ | 4.1495 | 8050 | 0.0009 | - |
342
+ | 4.1753 | 8100 | 0.0001 | - |
343
+ | 4.2010 | 8150 | 0.0001 | - |
344
+ | 4.2268 | 8200 | 0.0026 | - |
345
+ | 4.2526 | 8250 | 0.0001 | - |
346
+ | 4.2784 | 8300 | 0.0002 | - |
347
+ | 4.3041 | 8350 | 0.0001 | - |
348
+ | 4.3299 | 8400 | 0.0 | - |
349
+ | 4.3557 | 8450 | 0.0002 | - |
350
+ | 4.3814 | 8500 | 0.0011 | - |
351
+ | 4.4072 | 8550 | 0.0001 | - |
352
+ | 4.4330 | 8600 | 0.0017 | - |
353
+ | 4.4588 | 8650 | 0.0002 | - |
354
+ | 4.4845 | 8700 | 0.0001 | - |
355
+ | 4.5103 | 8750 | 0.0 | - |
356
+ | 4.5361 | 8800 | 0.0001 | - |
357
+ | 4.5619 | 8850 | 0.0011 | - |
358
+ | 4.5876 | 8900 | 0.0002 | - |
359
+ | 4.6134 | 8950 | 0.0 | - |
360
+ | 4.6392 | 9000 | 0.0001 | - |
361
+ | 4.6649 | 9050 | 0.0001 | - |
362
+ | 4.6907 | 9100 | 0.0002 | - |
363
+ | 4.7165 | 9150 | 0.0001 | - |
364
+ | 4.7423 | 9200 | 0.0002 | - |
365
+ | 4.7680 | 9250 | 0.0001 | - |
366
+ | 4.7938 | 9300 | 0.0003 | - |
367
+ | 4.8196 | 9350 | 0.0 | - |
368
+ | 4.8454 | 9400 | 0.0009 | - |
369
+ | 4.8711 | 9450 | 0.0019 | - |
370
+ | 4.8969 | 9500 | 0.0001 | - |
371
+ | 4.9227 | 9550 | 0.0 | - |
372
+ | 4.9485 | 9600 | 0.0041 | - |
373
+ | 4.9742 | 9650 | 0.0001 | - |
374
+ | 5.0 | 9700 | 0.0001 | - |
375
+ | 5.0258 | 9750 | 0.0 | - |
376
+ | 5.0515 | 9800 | 0.001 | - |
377
+ | 5.0773 | 9850 | 0.0001 | - |
378
+ | 5.1031 | 9900 | 0.0 | - |
379
+ | 5.1289 | 9950 | 0.0001 | - |
380
+ | 5.1546 | 10000 | 0.0001 | - |
381
+ | 5.1804 | 10050 | 0.0012 | - |
382
+ | 5.2062 | 10100 | 0.0001 | - |
383
+ | 5.2320 | 10150 | 0.0001 | - |
384
+ | 5.2577 | 10200 | 0.0 | - |
385
+ | 5.2835 | 10250 | 0.0 | - |
386
+ | 5.3093 | 10300 | 0.0019 | - |
387
+ | 5.3351 | 10350 | 0.0005 | - |
388
+ | 5.3608 | 10400 | 0.0001 | - |
389
+ | 5.3866 | 10450 | 0.0005 | - |
390
+ | 5.4124 | 10500 | 0.0001 | - |
391
+ | 5.4381 | 10550 | 0.0001 | - |
392
+ | 5.4639 | 10600 | 0.0005 | - |
393
+ | 5.4897 | 10650 | 0.0005 | - |
394
+ | 5.5155 | 10700 | 0.0001 | - |
395
+ | 5.5412 | 10750 | 0.0001 | - |
396
+ | 5.5670 | 10800 | 0.0 | - |
397
+ | 5.5928 | 10850 | 0.0001 | - |
398
+ | 5.6186 | 10900 | 0.0018 | - |
399
+ | 5.6443 | 10950 | 0.0002 | - |
400
+ | 5.6701 | 11000 | 0.0001 | - |
401
+ | 5.6959 | 11050 | 0.0002 | - |
402
+ | 5.7216 | 11100 | 0.0 | - |
403
+ | 5.7474 | 11150 | 0.0 | - |
404
+ | 5.7732 | 11200 | 0.0 | - |
405
+ | 5.7990 | 11250 | 0.0001 | - |
406
+ | 5.8247 | 11300 | 0.0 | - |
407
+ | 5.8505 | 11350 | 0.0 | - |
408
+ | 5.8763 | 11400 | 0.0 | - |
409
+ | 5.9021 | 11450 | 0.0 | - |
410
+ | 5.9278 | 11500 | 0.0001 | - |
411
+ | 5.9536 | 11550 | 0.0001 | - |
412
+ | 5.9794 | 11600 | 0.0 | - |
413
+ | 6.0052 | 11650 | 0.0 | - |
414
+ | 6.0309 | 11700 | 0.0001 | - |
415
+ | 6.0567 | 11750 | 0.0001 | - |
416
+ | 6.0825 | 11800 | 0.0001 | - |
417
+ | 6.1082 | 11850 | 0.0001 | - |
418
+ | 6.1340 | 11900 | 0.0001 | - |
419
+ | 6.1598 | 11950 | 0.0013 | - |
420
+ | 6.1856 | 12000 | 0.0 | - |
421
+ | 6.2113 | 12050 | 0.0 | - |
422
+ | 6.2371 | 12100 | 0.0002 | - |
423
+ | 6.2629 | 12150 | 0.0001 | - |
424
+ | 6.2887 | 12200 | 0.0003 | - |
425
+ | 6.3144 | 12250 | 0.0 | - |
426
+ | 6.3402 | 12300 | 0.0 | - |
427
+ | 6.3660 | 12350 | 0.0006 | - |
428
+ | 6.3918 | 12400 | 0.0013 | - |
429
+ | 6.4175 | 12450 | 0.0002 | - |
430
+ | 6.4433 | 12500 | 0.0001 | - |
431
+ | 6.4691 | 12550 | 0.0002 | - |
432
+ | 6.4948 | 12600 | 0.0 | - |
433
+ | 6.5206 | 12650 | 0.0001 | - |
434
+ | 6.5464 | 12700 | 0.0 | - |
435
+ | 6.5722 | 12750 | 0.0001 | - |
436
+ | 6.5979 | 12800 | 0.0001 | - |
437
+ | 6.6237 | 12850 | 0.0 | - |
438
+ | 6.6495 | 12900 | 0.0 | - |
439
+ | 6.6753 | 12950 | 0.0 | - |
440
+ | 6.7010 | 13000 | 0.0015 | - |
441
+ | 6.7268 | 13050 | 0.0 | - |
442
+ | 6.7526 | 13100 | 0.0 | - |
443
+ | 6.7784 | 13150 | 0.0 | - |
444
+ | 6.8041 | 13200 | 0.0 | - |
445
+ | 6.8299 | 13250 | 0.0 | - |
446
+ | 6.8557 | 13300 | 0.0 | - |
447
+ | 6.8814 | 13350 | 0.0 | - |
448
+ | 6.9072 | 13400 | 0.0001 | - |
449
+ | 6.9330 | 13450 | 0.0 | - |
450
+ | 6.9588 | 13500 | 0.0 | - |
451
+ | 6.9845 | 13550 | 0.0 | - |
452
+ | 7.0103 | 13600 | 0.0 | - |
453
+ | 7.0361 | 13650 | 0.0 | - |
454
+ | 7.0619 | 13700 | 0.0 | - |
455
+ | 7.0876 | 13750 | 0.0 | - |
456
+ | 7.1134 | 13800 | 0.0 | - |
457
+ | 7.1392 | 13850 | 0.0001 | - |
458
+ | 7.1649 | 13900 | 0.0 | - |
459
+ | 7.1907 | 13950 | 0.0 | - |
460
+ | 7.2165 | 14000 | 0.0 | - |
461
+ | 7.2423 | 14050 | 0.0 | - |
462
+ | 7.2680 | 14100 | 0.0 | - |
463
+ | 7.2938 | 14150 | 0.0 | - |
464
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+
958
+ ### Framework Versions
959
+ - Python: 3.10.12
960
+ - SetFit: 1.1.0.dev0
961
+ - Sentence Transformers: 3.1.1
962
+ - Transformers: 4.46.1
963
+ - PyTorch: 2.4.0+cu121
964
+ - Datasets: 2.20.0
965
+ - Tokenizers: 0.20.0
966
+
967
+ ## Citation
968
+
969
+ ### BibTeX
970
+ ```bibtex
971
+ @article{https://doi.org/10.48550/arxiv.2209.11055,
972
+ doi = {10.48550/ARXIV.2209.11055},
973
+ url = {https://arxiv.org/abs/2209.11055},
974
+ author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
975
+ keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
976
+ title = {Efficient Few-Shot Learning Without Prompts},
977
+ publisher = {arXiv},
978
+ year = {2022},
979
+ copyright = {Creative Commons Attribution 4.0 International}
980
+ }
981
+ ```
982
+
983
+ <!--
984
+ ## Glossary
985
+
986
+ *Clearly define terms in order to be accessible across audiences.*
987
+ -->
988
+
989
+ <!--
990
+ ## Model Card Authors
991
+
992
+ *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
993
+ -->
994
+
995
+ <!--
996
+ ## Model Card Contact
997
+
998
+ *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
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+ -->
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