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---
base_model: klue/roberta-base
library_name: setfit
metrics:
- metric
pipeline_tag: text-classification
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
- text: Creative 크리에이티브 BT-W3 ATX-LL USB동글 (주)린드스토어
- text: LG전자 울트라HD 75UQ8300ENA / 스탠드형 프롬헬시
- text: 삼성전자 BESPOKE 김치플러스 4도어 490 L 매트 멜로우 화이트 RQ49C90X24W 공식인증점 삼성전자(주)
- text: '힐링쉴드 애플워치 케이스 PCC시리즈 라이트핑크 38mm '
- text: PS4 그란투리스모 스포트 한글판 / VR대응 / PlayStationHits (주)위브엔터테인먼트
inference: true
model-index:
- name: SetFit with klue/roberta-base
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: Unknown
type: unknown
split: test
metrics:
- type: metric
value: 0.9105009566475337
name: Metric
---
# SetFit with klue/roberta-base
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.
The model has been trained using an efficient few-shot learning technique that involves:
1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
2. Training a classification head with features from the fine-tuned Sentence Transformer.
## Model Details
### Model Description
- **Model Type:** SetFit
- **Sentence Transformer body:** [klue/roberta-base](https://huggingface.co/klue/roberta-base)
- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
- **Maximum Sequence Length:** 512 tokens
- **Number of Classes:** 26 classes
<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->
### Model Sources
- **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
- **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
### Model Labels
| Label | Examples |
|:------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 7 | <ul><li>'삼성 정품 노트북 NT-RV720 / 19V 3.16A AD-6019S AD-6019R 정품 전원 어댑터 고다'</li><li>'[델타17] 삼성(센스) NT550P5C-S55S 잠금장치/도난방지장치/보안장치/시건장치/자물쇠/켄싱턴락 시녹스코리아'</li><li>'CHECKER BOARD HEART CHICHI-BLUE(북파우치) 13인치북파우치 주식회사 웹이즈'</li></ul> |
| 2 | <ul><li>'앱코 IP-23.6W 16:9 모니터 보안 필름 부착형 거치형 블루라이트 차단 사생활 정보 보호 화면 시력 보호기 눈부심방지 IP-23.6W 16:9 부착형 522x294 단풍나라'</li><li>'로지텍 MK270 MK275 MK295 K260 K270 키스킨 실리콘 키보드덮개 커버 [1+1] 로지텍 K260 키스킨 주식회사 미스터킴'</li><li>'일신 강력 먼지제거제 DR-60 에어스프레이 200g 컴퓨터 청소 일신 먼지제거제 DR-60 200g 우주트레이더스'</li></ul> |
| 5 | <ul><li>'NEXT-478PT (NEXT-478PT /POE/RJ45/RJ11 POE규격 랜테스터기/분리형) (주)케이피씨앤에스'</li><li>'랜스타 LS-P197-2410G 패치판넬 CAT6A 24포트 19인치 허브랙/서버랙용 (주)액티웍스'</li><li>'ipTIME SG24000M 스위칭허브 기가비트 24포트 용량48Gbps (주)세이프네트워크'</li></ul> |
| 17 | <ul><li>'리큅 3in1 BBQ 멀티그릴 LGR-MC1001 그레이 주식회사 이스트코퍼레이션'</li><li>'콕스타 KSEBD-1500 든든마켓'</li><li>'케리비 쉐프본 워시폴8 WQP6-8204 키움상점'</li></ul> |
| 4 | <ul><li>'RZL80A 원형 대성 전기온수기 대성온수기 80L 하향식 벽걸이 50리터 스텐레스 히트랩'</li><li>'한경희생활과학 HE-D707 모라상사'</li><li>'에디르 ED-UV360 데이원'</li></ul> |
| 18 | <ul><li>'삼성전자 삼성 SL-M2078F 정품토너 포함 (주)에스디인포텍'</li><li>'(엡손) SS9K-PX 9mm 하얀바탕/검은글씨 라벨 테이프 주식회사 코시스'</li><li>'뉴 애플 매직 트랙패드 실버 (애플코리아 정품) - MK2D3KH/A 주식회사 지에스리버'</li></ul> |
| 8 | <ul><li>'크리에이티브 Creative 사운드 블라스터 X1 외장형 USB DAC 헤드셋 앰프 주식회사 아크런 (Akrun Co., Ltd.)'</li><li>'[NEXI] NX-U20STC TYPE (주)대한씨엔엠'</li><li>'Audient 오디언트 iD14 MK2 루프백 오디오인터페이스 제이에스 웍스'</li></ul> |
| 10 | <ul><li>'[카멜마운트] 클램프형 듀얼 암 CMA-2DP 블랙 [32형] 주식회사 에티버스이비티'</li><li>'MachLink 아답터, 220V / 12V 5A [내경2.5mm/외경5.5mm] ML-125A 전원 케이블 미포함 [비닐포장] (주)컴퓨존'</li><li>'애니포트 엘마운트 APL-S900 다용도 선반 셋탑박스 거치대 사운드바 리모콘 정리대 원진글로벌'</li></ul> |
| 20 | <ul><li>'후지필름 GFX 50S II 새상품 [공식온라인몰] 주식회사 이로운컴퍼니'</li><li>'HF G50 캐논코리아정품 필터+융포함 4K캠코더 VIXIA HF G50 광학20배 와이지스토어(주) (YG store Co., Ltd)'</li><li>'니콘정품 D850 바디 정품 (새상품) -B1- [바디]+SD 32GB+호환가방+필름 비-원(B-ONE)'</li></ul> |
| 0 | <ul><li>'[OS 미포함] 인테그 슬릭 4747GS 게이밍 컴퓨터 PC RTX 4070 SUPER NVMe 4.0 1TB_DDR5 32GB_공랭 쿨러 시스템 이그닉 주식회사'</li><li>'[ASRock] DeskMini X300 120W 대원씨티에스 [기본제품] (주)컴퓨존'</li><li>'DL20 GEN10/E-2226/32G/1Tx2 RAID1/W2019 상품권 주식회사 제로원씨앤씨'</li></ul> |
| 12 | <ul><li>'Movavi Video Suite 2024 공공기관용 라이선스 / 모바비2024 메모리콕'</li><li>'[마이크로소프트] Windows 11 Home [COEM(DSP)/한글/64bit] (주)컴퓨존'</li><li>'Adobe Photoshop CC 기업용 라이선스 (1년계약) / 포토샵 CC 주식회사 글래드소프트'</li></ul> |
| 11 | <ul><li>'한일전기 W-110 미니 짤순이 다용도 음식물 야채 오이지 두부 탈수기 1kg 탈수기 짤순이(신형) (주)씨앤제이글로벌'</li><li>'LG전자 통돌이 일반세탁기 10kg TR10WL JI 그외지역 제일유통'</li><li>'베스토 고압세척기 고압호스 세차 건물 바닥청소 화단 165bar BHW-165 자이언트종합공구'</li></ul> |
| 1 | <ul><li>'메이커 시리즈 아두이노 우노 R3 스타터키트 ( basic kit pro kit ) 강원청소년진로체험센터'</li><li>'CAT.5E UTP 랜선 박스 옐로우 300m IN-5UTP300MYE 우노'</li><li>'TeamGroup T-Force DDR5-6000 CL30 Vulcan ECO 패키지 서린 32GB(16Gx2) (주)서린씨앤아이'</li></ul> |
| 13 | <ul><li>'플랏플로우 전동스크린 와이드 F-SS120W F-SS120W 주식회사 플랏플로우'</li><li>'삼성 LH65BECHLGFXKR 스탠드 1등급 65인치 TV 대성가전 수연유통'</li><li>'메타 퀘스트 2 어드밴스 Oculus Quest 2 128GB 선샤인몰'</li></ul> |
| 15 | <ul><li>'JMW MCF5A01A JMW MCF5A01A 렉슬리코리아'</li><li>'필립스 RQ11 교체용 전기면도기날망 RQ11(제품박스 없이 밀폐포장) P & R CORP'</li><li>'브라운 73S NEW 시리즈7 면도기 날망 직수입정품 73S P & R CORP'</li></ul> |
| 25 | <ul><li>'아이폰 15 프로 메탈 휴대폰스킨 1매 보호 필름 풀커버 아이폰15프로 메탈스킨 1매_블루 알럽스킨 주식회사'</li><li>'[맥도도] GaN5 Pro PD3.0 PPS 65W 초고속 3포트 멀티충전기 CH157 초고속 멀티충전기 블랙(CH1571) 하이텍코리아'</li><li>'NEXT-16MM /스마트폰 광각렌즈 16mm 4K Wide 120도 미션'</li></ul> |
| 14 | <ul><li>'베링거 S16 톤 사운드'</li><li>'디알고 BH07C 산다go'</li><li>'(예약상품) IFI AUDIO 아이파이오디오 젠덱시그니처 V2 ZEN DAC Signature V2 더그랩사운드'</li></ul> |
| 16 | <ul><li>'naVee 나비 외장형 ODD NV114-EXD7 외장형 CD-ROM DVD 티제이컴퍼니'</li><li>'IPTIME HDD3135 PLUS 3.5인치 하드디스크 외장하드케이스 USB3.0 블랙 (주)위젤'</li><li>'넥스트 NEXT-652DCU3 USB 3.0 2베이 외장 하드 도킹 스테이션 하드 복사기 파름'</li></ul> |
| 6 | <ul><li>'(4종+한컴선물) NT750XGQ-A51A 총512G WIN11 FPP설치 문스톤그레이 (주)씨케이코퍼레이션'</li><li>'[3종 +포토상품평 사은픔 중] NT750XEW-A51A (주)이레정보씨엔에스'</li><li>'레노버 신제품 씽크패드 X1 카본 Gen 12 (21KC009DKR)2만포인트 노트북가방 파우치 마우스 ULT5 125U / WUXGA_16GB / 1TB_WiFi 6E 포레스트하우스'</li></ul> |
| 24 | <ul><li>'삼성전자 갤럭시 S22 울트라 5G 256GB 자급제 SM-S908N 당일출고 새상품 그린 주식회사 에스케이아이엔씨'</li><li>'[Apple 아이폰 14] 애플 아이폰 14 128기가 블루 (국내 정식 발매 제품) MPVN3KH/A 슈박스 (Shoe Box)'</li><li>'삼성전자 갤러시 Z 폴드4 5G 512GB 자급제 SM-F936N 색상선택 폴드4 512GB 그레이그린{F936N5} (주)제이앤케이상사'</li></ul> |
| 3 | <ul><li>'(신형FX)노리박스 24인치 좌식형 레트로 가정용 오락실게임기(화질+성능UP) (주)노리박스게임연구소'</li><li>'(게임팜 24시 / 한글판 PC 스팀) Football Manager 2024 풋볼 매니저 2024 FM 2024 NA FM 2024 NA 24시게임코드'</li><li>'트러스트마스터 T248 레이싱휠 , 3페달포함 (XBOX, PC용) (주)델로라'</li></ul> |
| 21 | <ul><li>'삼성 갤럭시 탭 S8 울트라 SM-X906 5G 128GB 미개봉 자급제 / AIN 그라파이트 주식회사 아인스리테일'</li><li>'애플 아이패드 에어 5세대 와이파이 64GB 스타라이트 MM9F3KH/A (국내 정식 발매 제품) 지세일'</li><li>'Apple 아이패드 에어 13 6세대 M2 WiFi 512GB 스페이스 그레이 (MV2J3KH/A) (주)클락스토어'</li></ul> |
| 23 | <ul><li>'교보문고 이북리더기 전자책 샘10플러스 eBOOK sam10Plus 무제한 3개월 이용권 교보이북 sam 10 Plus (주)이씨파트너스'</li><li>'iFLYTEK AI-DSC-001 영어학습 인공지능 스캔톡 에어 김정균'</li><li>'장시간녹음기 차량녹음기 40일녹음 AT-B1000 세이프통신'</li></ul> |
| 19 | <ul><li>'LG전자 K83AG 싸이킹 티타늄실버 진공청소기 10%환급 보헤미안레드 드림빌리지'</li><li>'[물걸레패드] 플로리오 로봇청소기 F10 Pro 물걸레 패드 160매 NA0028 롯데홈쇼핑'</li><li>'신일전자 SVCD500SR 무선 진공 청소기 선이없는 진공청소기 추천 쇼핑투유'</li></ul> |
| 9 | <ul><li>'[MSI] MD2412PW IPS 100 아이에르고 피벗 화이트 [무결점] 주식회사 에티버스이비티'</li><li>'DELL UltraSharp U2422H 피벗 USB허브 높이조절 다다티에스(total services)'</li><li>'BenQ ZOWIE XL2411K 게이밍 무결점 CK (주)컴파크씨앤씨'</li></ul> |
| 22 | <ul><li>'애플펜슬 1세대 MK0C2KH/A 애플코리아정품 주식회사 제이케이앤씨(JK&C Co.,Ltd.)'</li><li>'[뷰씨] 아이패드 프로 7세대 13인치 M4 클리어범퍼 케이스 투 (주) 교보문고'</li><li>'뷰씨 아이패드 프로 6세대 5세대 4세대 12.9인치 투명 강화유리 액정 보호필름 2매 강화유리필름- 블루라이트(2매) 주식회사 오토스마트'</li></ul> |
## Evaluation
### Metrics
| Label | Metric |
|:--------|:-------|
| **all** | 0.9105 |
## Uses
### Direct Use for Inference
First install the SetFit library:
```bash
pip install setfit
```
Then you can load this model and run inference.
```python
from setfit import SetFitModel
# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("mini1013/master_item_el")
# Run inference
preds = model("힐링쉴드 애플워치 케이스 PCC시리즈 라이트핑크 38mm ")
```
<!--
### Downstream Use
*List how someone could finetune this model on their own dataset.*
-->
<!--
### Out-of-Scope Use
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->
<!--
## Bias, Risks and Limitations
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
-->
<!--
### Recommendations
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->
## Training Details
### Training Set Metrics
| Training set | Min | Median | Max |
|:-------------|:----|:-------|:----|
| Word count | 3 | 9.6062 | 34 |
| Label | Training Sample Count |
|:------|:----------------------|
| 0 | 136 |
| 1 | 500 |
| 2 | 408 |
| 3 | 243 |
| 4 | 913 |
| 5 | 621 |
| 6 | 50 |
| 7 | 422 |
| 8 | 394 |
| 9 | 50 |
| 10 | 218 |
| 11 | 808 |
| 12 | 183 |
| 13 | 350 |
| 14 | 979 |
| 15 | 795 |
| 16 | 510 |
| 17 | 2159 |
| 18 | 413 |
| 19 | 129 |
| 20 | 950 |
| 21 | 50 |
| 22 | 200 |
| 23 | 181 |
| 24 | 50 |
| 25 | 699 |
### Training Hyperparameters
- batch_size: (512, 512)
- num_epochs: (20, 20)
- max_steps: -1
- sampling_strategy: oversampling
- num_iterations: 40
- body_learning_rate: (2e-05, 2e-05)
- head_learning_rate: 2e-05
- loss: CosineSimilarityLoss
- distance_metric: cosine_distance
- margin: 0.25
- end_to_end: False
- use_amp: False
- warmup_proportion: 0.1
- seed: 42
- eval_max_steps: -1
- load_best_model_at_end: False
### Training Results
| Epoch | Step | Training Loss | Validation Loss |
|:-------:|:-----:|:-------------:|:---------------:|
| 0.0005 | 1 | 0.4306 | - |
| 0.0258 | 50 | 0.3897 | - |
| 0.0515 | 100 | 0.3822 | - |
| 0.0773 | 150 | 0.3469 | - |
| 0.1031 | 200 | 0.2699 | - |
| 0.1289 | 250 | 0.2408 | - |
| 0.1546 | 300 | 0.1997 | - |
| 0.1804 | 350 | 0.1918 | - |
| 0.2062 | 400 | 0.1587 | - |
| 0.2320 | 450 | 0.1616 | - |
| 0.2577 | 500 | 0.1564 | - |
| 0.2835 | 550 | 0.1529 | - |
| 0.3093 | 600 | 0.1266 | - |
| 0.3351 | 650 | 0.1107 | - |
| 0.3608 | 700 | 0.126 | - |
| 0.3866 | 750 | 0.1178 | - |
| 0.4124 | 800 | 0.1081 | - |
| 0.4381 | 850 | 0.0919 | - |
| 0.4639 | 900 | 0.0781 | - |
| 0.4897 | 950 | 0.0776 | - |
| 0.5155 | 1000 | 0.0844 | - |
| 0.5412 | 1050 | 0.0782 | - |
| 0.5670 | 1100 | 0.0625 | - |
| 0.5928 | 1150 | 0.0659 | - |
| 0.6186 | 1200 | 0.0621 | - |
| 0.6443 | 1250 | 0.0455 | - |
| 0.6701 | 1300 | 0.0508 | - |
| 0.6959 | 1350 | 0.0468 | - |
| 0.7216 | 1400 | 0.0539 | - |
| 0.7474 | 1450 | 0.05 | - |
| 0.7732 | 1500 | 0.0333 | - |
| 0.7990 | 1550 | 0.0359 | - |
| 0.8247 | 1600 | 0.0277 | - |
| 0.8505 | 1650 | 0.0266 | - |
| 0.8763 | 1700 | 0.03 | - |
| 0.9021 | 1750 | 0.0172 | - |
| 0.9278 | 1800 | 0.0275 | - |
| 0.9536 | 1850 | 0.0264 | - |
| 0.9794 | 1900 | 0.0195 | - |
| 1.0052 | 1950 | 0.024 | - |
| 1.0309 | 2000 | 0.0161 | - |
| 1.0567 | 2050 | 0.0131 | - |
| 1.0825 | 2100 | 0.0211 | - |
| 1.1082 | 2150 | 0.023 | - |
| 1.1340 | 2200 | 0.0174 | - |
| 1.1598 | 2250 | 0.0127 | - |
| 1.1856 | 2300 | 0.0061 | - |
| 1.2113 | 2350 | 0.0071 | - |
| 1.2371 | 2400 | 0.0164 | - |
| 1.2629 | 2450 | 0.0098 | - |
| 1.2887 | 2500 | 0.0094 | - |
| 1.3144 | 2550 | 0.0062 | - |
| 1.3402 | 2600 | 0.0044 | - |
| 1.3660 | 2650 | 0.007 | - |
| 1.3918 | 2700 | 0.0083 | - |
| 1.4175 | 2750 | 0.0081 | - |
| 1.4433 | 2800 | 0.0076 | - |
| 1.4691 | 2850 | 0.0091 | - |
| 1.4948 | 2900 | 0.0044 | - |
| 1.5206 | 2950 | 0.003 | - |
| 1.5464 | 3000 | 0.0036 | - |
| 1.5722 | 3050 | 0.0016 | - |
| 1.5979 | 3100 | 0.0025 | - |
| 1.6237 | 3150 | 0.0029 | - |
| 1.6495 | 3200 | 0.0021 | - |
| 1.6753 | 3250 | 0.0025 | - |
| 1.7010 | 3300 | 0.0032 | - |
| 1.7268 | 3350 | 0.0013 | - |
| 1.7526 | 3400 | 0.0015 | - |
| 1.7784 | 3450 | 0.0037 | - |
| 1.8041 | 3500 | 0.0062 | - |
| 1.8299 | 3550 | 0.0022 | - |
| 1.8557 | 3600 | 0.0032 | - |
| 1.8814 | 3650 | 0.0011 | - |
| 1.9072 | 3700 | 0.0022 | - |
| 1.9330 | 3750 | 0.0032 | - |
| 1.9588 | 3800 | 0.001 | - |
| 1.9845 | 3850 | 0.0012 | - |
| 2.0103 | 3900 | 0.0007 | - |
| 2.0361 | 3950 | 0.0009 | - |
| 2.0619 | 4000 | 0.0007 | - |
| 2.0876 | 4050 | 0.0004 | - |
| 2.1134 | 4100 | 0.0014 | - |
| 2.1392 | 4150 | 0.002 | - |
| 2.1649 | 4200 | 0.0008 | - |
| 2.1907 | 4250 | 0.0003 | - |
| 2.2165 | 4300 | 0.0005 | - |
| 2.2423 | 4350 | 0.001 | - |
| 2.2680 | 4400 | 0.0002 | - |
| 2.2938 | 4450 | 0.0007 | - |
| 2.3196 | 4500 | 0.0018 | - |
| 2.3454 | 4550 | 0.0002 | - |
| 2.3711 | 4600 | 0.0021 | - |
| 2.3969 | 4650 | 0.0006 | - |
| 2.4227 | 4700 | 0.0014 | - |
| 2.4485 | 4750 | 0.0028 | - |
| 2.4742 | 4800 | 0.0021 | - |
| 2.5 | 4850 | 0.0001 | - |
| 2.5258 | 4900 | 0.0001 | - |
| 2.5515 | 4950 | 0.0004 | - |
| 2.5773 | 5000 | 0.0002 | - |
| 2.6031 | 5050 | 0.0006 | - |
| 2.6289 | 5100 | 0.0004 | - |
| 2.6546 | 5150 | 0.0001 | - |
| 2.6804 | 5200 | 0.0002 | - |
| 2.7062 | 5250 | 0.0005 | - |
| 2.7320 | 5300 | 0.0001 | - |
| 2.7577 | 5350 | 0.0005 | - |
| 2.7835 | 5400 | 0.0001 | - |
| 2.8093 | 5450 | 0.0016 | - |
| 2.8351 | 5500 | 0.002 | - |
| 2.8608 | 5550 | 0.0002 | - |
| 2.8866 | 5600 | 0.0014 | - |
| 2.9124 | 5650 | 0.0004 | - |
| 2.9381 | 5700 | 0.0001 | - |
| 2.9639 | 5750 | 0.0018 | - |
| 2.9897 | 5800 | 0.0003 | - |
| 3.0155 | 5850 | 0.0005 | - |
| 3.0412 | 5900 | 0.0001 | - |
| 3.0670 | 5950 | 0.0002 | - |
| 3.0928 | 6000 | 0.0013 | - |
| 3.1186 | 6050 | 0.0024 | - |
| 3.1443 | 6100 | 0.0004 | - |
| 3.1701 | 6150 | 0.0006 | - |
| 3.1959 | 6200 | 0.0004 | - |
| 3.2216 | 6250 | 0.0005 | - |
| 3.2474 | 6300 | 0.0001 | - |
| 3.2732 | 6350 | 0.0002 | - |
| 3.2990 | 6400 | 0.0003 | - |
| 3.3247 | 6450 | 0.0018 | - |
| 3.3505 | 6500 | 0.0001 | - |
| 3.3763 | 6550 | 0.0001 | - |
| 3.4021 | 6600 | 0.0001 | - |
| 3.4278 | 6650 | 0.0001 | - |
| 3.4536 | 6700 | 0.0001 | - |
| 3.4794 | 6750 | 0.002 | - |
| 3.5052 | 6800 | 0.0001 | - |
| 3.5309 | 6850 | 0.0008 | - |
| 3.5567 | 6900 | 0.0006 | - |
| 3.5825 | 6950 | 0.0008 | - |
| 3.6082 | 7000 | 0.0001 | - |
| 3.6340 | 7050 | 0.0001 | - |
| 3.6598 | 7100 | 0.0001 | - |
| 3.6856 | 7150 | 0.0011 | - |
| 3.7113 | 7200 | 0.0034 | - |
| 3.7371 | 7250 | 0.0008 | - |
| 3.7629 | 7300 | 0.0002 | - |
| 3.7887 | 7350 | 0.0001 | - |
| 3.8144 | 7400 | 0.0002 | - |
| 3.8402 | 7450 | 0.002 | - |
| 3.8660 | 7500 | 0.0007 | - |
| 3.8918 | 7550 | 0.0024 | - |
| 3.9175 | 7600 | 0.003 | - |
| 3.9433 | 7650 | 0.0001 | - |
| 3.9691 | 7700 | 0.0003 | - |
| 3.9948 | 7750 | 0.0002 | - |
| 4.0206 | 7800 | 0.0002 | - |
| 4.0464 | 7850 | 0.0001 | - |
| 4.0722 | 7900 | 0.0 | - |
| 4.0979 | 7950 | 0.0 | - |
| 4.1237 | 8000 | 0.0001 | - |
| 4.1495 | 8050 | 0.001 | - |
| 4.1753 | 8100 | 0.0001 | - |
| 4.2010 | 8150 | 0.0 | - |
| 4.2268 | 8200 | 0.0018 | - |
| 4.2526 | 8250 | 0.0001 | - |
| 4.2784 | 8300 | 0.0 | - |
| 4.3041 | 8350 | 0.0014 | - |
| 4.3299 | 8400 | 0.0007 | - |
| 4.3557 | 8450 | 0.0003 | - |
| 4.3814 | 8500 | 0.0002 | - |
| 4.4072 | 8550 | 0.0002 | - |
| 4.4330 | 8600 | 0.0011 | - |
| 4.4588 | 8650 | 0.0002 | - |
| 4.4845 | 8700 | 0.0001 | - |
| 4.5103 | 8750 | 0.0003 | - |
| 4.5361 | 8800 | 0.0001 | - |
| 4.5619 | 8850 | 0.0 | - |
| 4.5876 | 8900 | 0.0 | - |
| 4.6134 | 8950 | 0.0 | - |
| 4.6392 | 9000 | 0.0001 | - |
| 4.6649 | 9050 | 0.0001 | - |
| 4.6907 | 9100 | 0.0001 | - |
| 4.7165 | 9150 | 0.0 | - |
| 4.7423 | 9200 | 0.0 | - |
| 4.7680 | 9250 | 0.0003 | - |
| 4.7938 | 9300 | 0.0012 | - |
| 4.8196 | 9350 | 0.0004 | - |
| 4.8454 | 9400 | 0.0005 | - |
| 4.8711 | 9450 | 0.0019 | - |
| 4.8969 | 9500 | 0.0001 | - |
| 4.9227 | 9550 | 0.0013 | - |
| 4.9485 | 9600 | 0.0001 | - |
| 4.9742 | 9650 | 0.0002 | - |
| 5.0 | 9700 | 0.0001 | - |
| 5.0258 | 9750 | 0.0 | - |
| 5.0515 | 9800 | 0.0 | - |
| 5.0773 | 9850 | 0.0009 | - |
| 5.1031 | 9900 | 0.0 | - |
| 5.1289 | 9950 | 0.0 | - |
| 5.1546 | 10000 | 0.0 | - |
| 5.1804 | 10050 | 0.0 | - |
| 5.2062 | 10100 | 0.002 | - |
| 5.2320 | 10150 | 0.0003 | - |
| 5.2577 | 10200 | 0.0001 | - |
| 5.2835 | 10250 | 0.0 | - |
| 5.3093 | 10300 | 0.0025 | - |
| 5.3351 | 10350 | 0.0 | - |
| 5.3608 | 10400 | 0.0001 | - |
| 5.3866 | 10450 | 0.0 | - |
| 5.4124 | 10500 | 0.0 | - |
| 5.4381 | 10550 | 0.0 | - |
| 5.4639 | 10600 | 0.0 | - |
| 5.4897 | 10650 | 0.0 | - |
| 5.5155 | 10700 | 0.0 | - |
| 5.5412 | 10750 | 0.0 | - |
| 5.5670 | 10800 | 0.0 | - |
| 5.5928 | 10850 | 0.0 | - |
| 5.6186 | 10900 | 0.0001 | - |
| 5.6443 | 10950 | 0.0 | - |
| 5.6701 | 11000 | 0.0001 | - |
| 5.6959 | 11050 | 0.0 | - |
| 5.7216 | 11100 | 0.0 | - |
| 5.7474 | 11150 | 0.0016 | - |
| 5.7732 | 11200 | 0.0033 | - |
| 5.7990 | 11250 | 0.001 | - |
| 5.8247 | 11300 | 0.0001 | - |
| 5.8505 | 11350 | 0.0 | - |
| 5.8763 | 11400 | 0.0 | - |
| 5.9021 | 11450 | 0.0 | - |
| 5.9278 | 11500 | 0.0002 | - |
| 5.9536 | 11550 | 0.0 | - |
| 5.9794 | 11600 | 0.0001 | - |
| 6.0052 | 11650 | 0.0012 | - |
| 6.0309 | 11700 | 0.0001 | - |
| 6.0567 | 11750 | 0.0001 | - |
| 6.0825 | 11800 | 0.0018 | - |
| 6.1082 | 11850 | 0.0006 | - |
| 6.1340 | 11900 | 0.0001 | - |
| 6.1598 | 11950 | 0.0 | - |
| 6.1856 | 12000 | 0.0042 | - |
| 6.2113 | 12050 | 0.0001 | - |
| 6.2371 | 12100 | 0.0001 | - |
| 6.2629 | 12150 | 0.0 | - |
| 6.2887 | 12200 | 0.0 | - |
| 6.3144 | 12250 | 0.0 | - |
| 6.3402 | 12300 | 0.0006 | - |
| 6.3660 | 12350 | 0.0001 | - |
| 6.3918 | 12400 | 0.0 | - |
| 6.4175 | 12450 | 0.0 | - |
| 6.4433 | 12500 | 0.0 | - |
| 6.4691 | 12550 | 0.0 | - |
| 6.4948 | 12600 | 0.0001 | - |
| 6.5206 | 12650 | 0.0 | - |
| 6.5464 | 12700 | 0.0 | - |
| 6.5722 | 12750 | 0.0 | - |
| 6.5979 | 12800 | 0.0 | - |
| 6.6237 | 12850 | 0.0 | - |
| 6.6495 | 12900 | 0.0 | - |
| 6.6753 | 12950 | 0.0 | - |
| 6.7010 | 13000 | 0.0 | - |
| 6.7268 | 13050 | 0.0 | - |
| 6.7526 | 13100 | 0.0001 | - |
| 6.7784 | 13150 | 0.0 | - |
| 6.8041 | 13200 | 0.0 | - |
| 6.8299 | 13250 | 0.0 | - |
| 6.8557 | 13300 | 0.0 | - |
| 6.8814 | 13350 | 0.0002 | - |
| 6.9072 | 13400 | 0.0001 | - |
| 6.9330 | 13450 | 0.0 | - |
| 6.9588 | 13500 | 0.0 | - |
| 6.9845 | 13550 | 0.0012 | - |
| 7.0103 | 13600 | 0.0 | - |
| 7.0361 | 13650 | 0.0001 | - |
| 7.0619 | 13700 | 0.0047 | - |
| 7.0876 | 13750 | 0.002 | - |
| 7.1134 | 13800 | 0.0001 | - |
| 7.1392 | 13850 | 0.0012 | - |
| 7.1649 | 13900 | 0.0 | - |
| 7.1907 | 13950 | 0.0015 | - |
| 7.2165 | 14000 | 0.0 | - |
| 7.2423 | 14050 | 0.0 | - |
| 7.2680 | 14100 | 0.0 | - |
| 7.2938 | 14150 | 0.0 | - |
| 7.3196 | 14200 | 0.0 | - |
| 7.3454 | 14250 | 0.0 | - |
| 7.3711 | 14300 | 0.0 | - |
| 7.3969 | 14350 | 0.0 | - |
| 7.4227 | 14400 | 0.0 | - |
| 7.4485 | 14450 | 0.0 | - |
| 7.4742 | 14500 | 0.0 | - |
| 7.5 | 14550 | 0.0 | - |
| 7.5258 | 14600 | 0.0001 | - |
| 7.5515 | 14650 | 0.0 | - |
| 7.5773 | 14700 | 0.0001 | - |
| 7.6031 | 14750 | 0.0035 | - |
| 7.6289 | 14800 | 0.0 | - |
| 7.6546 | 14850 | 0.0 | - |
| 7.6804 | 14900 | 0.0003 | - |
| 7.7062 | 14950 | 0.0 | - |
| 7.7320 | 15000 | 0.0 | - |
| 7.7577 | 15050 | 0.0 | - |
| 7.7835 | 15100 | 0.0 | - |
| 7.8093 | 15150 | 0.0 | - |
| 7.8351 | 15200 | 0.0 | - |
| 7.8608 | 15250 | 0.0 | - |
| 7.8866 | 15300 | 0.0019 | - |
| 7.9124 | 15350 | 0.0018 | - |
| 7.9381 | 15400 | 0.0 | - |
| 7.9639 | 15450 | 0.0001 | - |
| 7.9897 | 15500 | 0.0 | - |
| 8.0155 | 15550 | 0.0 | - |
| 8.0412 | 15600 | 0.0 | - |
| 8.0670 | 15650 | 0.0 | - |
| 8.0928 | 15700 | 0.0 | - |
| 8.1186 | 15750 | 0.0001 | - |
| 8.1443 | 15800 | 0.0001 | - |
| 8.1701 | 15850 | 0.0 | - |
| 8.1959 | 15900 | 0.0 | - |
| 8.2216 | 15950 | 0.0 | - |
| 8.2474 | 16000 | 0.0 | - |
| 8.2732 | 16050 | 0.0 | - |
| 8.2990 | 16100 | 0.0 | - |
| 8.3247 | 16150 | 0.0039 | - |
| 8.3505 | 16200 | 0.0003 | - |
| 8.3763 | 16250 | 0.0 | - |
| 8.4021 | 16300 | 0.0 | - |
| 8.4278 | 16350 | 0.0 | - |
| 8.4536 | 16400 | 0.0001 | - |
| 8.4794 | 16450 | 0.0 | - |
| 8.5052 | 16500 | 0.0 | - |
| 8.5309 | 16550 | 0.0 | - |
| 8.5567 | 16600 | 0.0 | - |
| 8.5825 | 16650 | 0.0 | - |
| 8.6082 | 16700 | 0.0 | - |
| 8.6340 | 16750 | 0.0003 | - |
| 8.6598 | 16800 | 0.0 | - |
| 8.6856 | 16850 | 0.0 | - |
| 8.7113 | 16900 | 0.0019 | - |
| 8.7371 | 16950 | 0.0 | - |
| 8.7629 | 17000 | 0.0 | - |
| 8.7887 | 17050 | 0.0 | - |
| 8.8144 | 17100 | 0.0 | - |
| 8.8402 | 17150 | 0.0 | - |
| 8.8660 | 17200 | 0.0 | - |
| 8.8918 | 17250 | 0.0 | - |
| 8.9175 | 17300 | 0.0 | - |
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| 20.0 | 38800 | 0.0 | - |
### Framework Versions
- Python: 3.10.12
- SetFit: 1.1.0.dev0
- Sentence Transformers: 3.1.1
- Transformers: 4.46.1
- PyTorch: 2.4.0+cu121
- Datasets: 2.20.0
- Tokenizers: 0.20.0
## Citation
### BibTeX
```bibtex
@article{https://doi.org/10.48550/arxiv.2209.11055,
doi = {10.48550/ARXIV.2209.11055},
url = {https://arxiv.org/abs/2209.11055},
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Efficient Few-Shot Learning Without Prompts},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}
```
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