mini1013/master_item_bt_test_flat_top

SetFit with klue/roberta-base

This is a SetFit model that can be used for Text Classification. This SetFit model uses klue/roberta-base as the Sentence Transformer embedding model. A LogisticRegression 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 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
• Classification head: a LogisticRegression instance
• Maximum Sequence Length: 512 tokens
• Number of Classes: 14 classes

Model Sources

• Repository: SetFit on GitHub
• Paper: Efficient Few-Shot Learning Without Prompts
• Blogpost: SetFit: Efficient Few-Shot Learning Without Prompts

Model Labels

Label	Examples
7	'잇츠스킨 베이비 페이스 내츄럴 아이브로우 02호 딥브라운 홈>전체상품;(#M)홈>잇츠스킨 Naverstore > 화장품/미용 > 색조메이크업 > 아이브로' '르 크레용 레브르 180 로즈 브히끄 ssg > 뷰티 > 메이크업 > 립메이크업 > 립라이너;ssg > 뷰티 > 메이크업 > 립메이크업 ssg > 뷰티 > 메이크업 > 립메이크업' '(더샘)에코 소울 립 라이너0.45g (171400) 에코 소울 립 라이너_BE01 소울 베이지 ◈206268024◈ (#M)화장품/향수>색조메이크업>립스틱 Gmarket > 뷰티 > 화장품/향수 > 색조메이크업 > 립스틱'
4	'토소웅 헬프미 풋 힐패치 10개입 × 1개 Coupang > 뷰티 > 바디 > 핸드/풋/데오 > 풋케어;(#M)쿠팡 홈>생활용품>헤어/바디/세안>핸드/풋/데오>풋케어>풋팩/레그패치 Coupang > 뷰티 > 바디 > 핸드/풋/데오 > 풋케어 > 풋팩/레그패치' '세븐피엠 털업 제모크림 100ml x 3SET MinSellAmount (#M)바디/헤어>제모용품>제모제 Gmarket > 뷰티 > 바디/헤어 > 제모용품 > 제모제' '아이깨끗해 핸드워시 레몬 200ml 리필 1개 MinSellAmount 스마일배송 홈>;(#M)스마일배송 홈>생활/주방>바디케어>손세정제 Gmarket > 뷰티 > 바디/헤어 > 핸드케어/풋케어 > 손세정제'
10	'토니모리 더 촉촉 그린티 노 워시 클렌징 티슈 100매 (#M)홈>화장품/미용>클렌징>클렌징티슈 Naverstore > 화장품/미용 > 클렌징 > 클렌징티슈' 'CM 아이오페 프로필링 소프트 젤 LotteOn > 뷰티 > 남성화장품 > 에센스 LotteOn > 뷰티 > 남성화장품 > 에센스' '아스파시아 4U 딥 후레쉬 클렌징 오일 100ml 3개입 (#M)위메프 > 뷰티 > 이미용소품/기기 > 클렌징소품 > 브러쉬/진동클렌저 위메프 > 뷰티 > 이미용소품/기기 > 클렌징소품 > 브러쉬/진동클렌저'
1	'랩시리즈 안티에이지 맥스 LS 크림 50ml (#M)11st>남성화장품>남성크림>남성크림 11st > 뷰티 > 남성화장품 > 남성크림 > 남성크림' '[기타] [비레디] 마그네틱 피팅 쿠션 리필 15g (옵션) 상세 설명 참조 × 옵션:1호 스톤 Coupang > 뷰티 > 남성화장품 > 남성메이크업 > 베이스메이크업;(#M)쿠팡 홈>뷰티>남성화장품>남성메이크업>베이스메이크업 Coupang > 뷰티 > 남성화장품 > 남성메이크업 > 베이스메이크업' '핸드크림 맨 75ml (#M)뷰티>헤어/바디/미용기기>핸드/풋/덴탈케어>핸드케어 CJmall > 뷰티 > 헤어/바디/미용기기 > 핸드/풋/덴탈케어 > 핸드케어'
6	'퍼펙트 롱 커트보 투명창 미용실 바버샵 대형커트보 긴커트보 염색보 드라이보 미용가운 1.8m_창(X)없음_레드블루 스트라이프 (#M)홈>커트보,앞치마 Naverstore > 화장품/미용 > 뷰티소품 > 헤어소품 > 기타헤어소품' '미니타투 세트 KT295, KT296, KT297, KT298, KT299, KT300 × 1세트 LotteOn > 뷰티 > 뷰티기기/소품 > 바디소품 LotteOn > 뷰티 > 뷰티기기/소품 > 바디소품' '병도매닷컴 DT150 백색 건스프레이 용기 투명캡 × 3개입 (#M)쿠팡 홈>뷰티>뷰티소품>용기/거울/기타소품>화장품용기 Coupang > 뷰티 > 뷰티소품 > 용기/거울/기타소품 > 화장품용기'
12	'사이오스 프로페셔널 헤어칼라 새치염색제 5개 2-A 스모키베이지 5개 (#M)GSSHOP>뷰티>헤어케어>염색약 GSSHOP > 뷰티 > 헤어케어 > 염색약' '이희 마블 에센스 헤어 팩트 다크브라운 본품+리필 11st > 뷰티 > 헤어케어 > 탈모/두피관리제 > 흑채/순간증모제;(#M)11st>헤어케어>탈모/두피관리제>흑채/순간증모제 11st > 뷰티 > 헤어케어 > 탈모/두피관리제 > 흑채/순간증모제' '[눙크] 듀이트리 굿 릴랙스 애프터 수딩 패치 15g 단일상품 화장품
5	'더페이스샵 워터프루프 비비 50ml (NEW) MinSellAmount 화장품/향수>베이스메이크업>BB/CC크림;(#M)화장품/향수>베이스메이크업>BB크림/톤업크림 Gmarket > 뷰티 > 화장품/향수 > 베이스메이크업 > BB크림/톤업크림' '자트인사이트 울트라 세팅 진짜 메이크업 픽서 50ml × 3개 (#M)쿠팡 홈>뷰티>메이크업>베이스 메이크업>메이크업픽서 Coupang > 뷰티 > 메이크업 > 베이스 메이크업 > 메이크업픽서' '[단독] 컨실러 N 세트 7 모카 LOREAL > DepartmentLotteOn > 메이블린 > Generic > 컨실러 LOREAL > DepartmentLotteOn > 메이블린 > Generic > 컨실러'
2	'아리따움 모디 컬러 네일즈 6ml [유통기한 임박할인] 13호 패션오렌지 [유통기한 21.08] 홈>전체상품;(#M)홈>★세일★ Naverstore > 화장품/미용 > 네일케어 > 매니큐어' '뿌띠슈 컬러팡팡 네일 C12 뿌띠슈의사랑고백 8ml × 1개 쿠팡 홈>어린이날>어린이화장품>네일케어;(#M)쿠팡 홈>뷰티>어린이화장품>네일케어 Coupang > 뷰티 > 어린이화장품 > 네일케어' '에이프릴 프린세스 키즈 네일스티커 오늘도 스마일 × 6세트 (#M)쿠팡 홈>뷰티>어린이화장품>네일케어 Coupang > 뷰티 > 어린이화장품 > 네일케어'
13	'로더베르 시그니처 퍼퓸 샴푸 플로럴오리엔탈 단백질,대용량,약산성5.5 02.로더베르 시그니처 퍼퓸 트리트먼트_베이비파우더 (#M)화장품/미용>헤어케어>샴푸 Naverstore > 화장품/미용 > 머스크 > 샴푸' '오가니스트 샴푸1100ml(체리블라썸) ssg > 뷰티 > 헤어/바디 > 세정/입욕용품 > 바디워시;ssg > 뷰티 > 헤어/바디 > 세정/입욕용품 > 핸드워시;ssg > 가공/건강식품 > 우유/유제품 > 우유;ssg > 가공/건강식품 > 냉장/냉동/간편식 > 중식/일식/세계요리;ssg > 뷰티 > 헤어/바디 > 헤어케어 > 헤어트리트먼트;ssg > 생활/주방 > 세제/청소용품 > 세탁세제;LOREAL > Ssg > 케라스타즈 > Generic > 샴푸;ssg > 생활/주방 > 세제/청소용품 > 세탁세제 > 일반세탁세제;ssg > 뷰티 > 헤어/바디 > 헤어케어;ssg > 뷰티 > 헤어/바디 > 세정/입욕용품;LOREAL > Ssg > 헬레나 루빈스타인 > Generic > 로션;ssg > 생활/주방 > 건강/위생용품 > 칫솔/치약/구강청결 > 일반칫솔;ssg > 뷰티 > 헤어/바디 > 헤어스타일링 > 헤어왁스/젤;ssg > 생활 > 세제/제지/위생용품 > 세제;ssg > 뷰티 > 헤어/바디 > 헤어케어 > 샴푸 ssg > 뷰티 > 헤어/바디 > 세정/입욕용품 > 베이비워시' '려 진생보 샴푸 두피모발영양 400ml 2개[34529631] (#M)SSG.COM>출산/육아용품>스킨/바디케어>샴푸/헤어제품 LO > traverse > ssg > 유아동 > 출산/육아용품 > 스킨/바디케어 > 샴푸/헤어제품'
11	'마타바 석고방향제 만들기 diy 재료모음 01_스위스G향료50ml_멋스럽고세련된향기_69_인투유 (#M)11st>과자/간식>초콜릿>초콜릿DIY>도구 기타 11st > 식품 > 과자/간식 > 초콜릿 > 초콜릿DIY' '베티베르 파탈 200ml (증정) 아이리스 리벨 30ml LOREAL > DepartmentLotteOn > 아틀리에 코롱 > Branded > 아틀리에 코롱 LOREAL > DepartmentLotteOn > 아틀리에 코롱 > Branded > 아틀리에 코롱' '[루브르X불리1803] 오 트리쁠 루브르 향수 - 목수 성 요셉 75ml ssg > 뷰티 > 향수 > 여성향수 ssg > 뷰티 > 향수 > 여성향수'
9	'랑콤 어드벤스드 제니피끄 이으 유스 액티베이팅 스무딩 아이크림 15ml 코스트코 (#M)11st>스킨케어>아이크림>아이크림 11st > 뷰티 > 스킨케어 > 아이크림 > 아이크림' '스킨푸드 로열허니 프로폴리스 인리치 에멀젼 로열허니인리치[에멀젼]+코코사은품 × 1Ea (#M)쿠팡 홈>뷰티>스킨케어>로션 Coupang > 뷰티 > 스킨케어 > 로션' '아이오페 라이브 리프트 2종세트 (#M)위메프 > 생활·주방용품 > 주방용품 > 주방잡화 > 이외 주방잡화 위메프 > 뷰티 > 스킨케어 > 스킨/토너 > 스킨/토너'
3	'달바 판타스틱 워터풀 마스크팩 100ml+100ml ssg > 뷰티 > 스킨케어 > 마스크/팩 > 슬리핑팩 ssg > 뷰티 > 스킨케어 > 마스크/팩 > 슬리핑팩' '[홈쇼핑 구성] 티르티르 콜라겐 물광 마스크 80ml x 4 + 40ml 티르티르 물광 마스크 80ml 4개+40ml LotteOn > 뷰티 > 스킨케어 > 크림 LotteOn > 뷰티 > 스킨케어 > 크림' '[무료배송] 한율 달빛유자 수면팩 60ml 위메프 > 뷰티 > 스킨케어 > 스킨/토너;위메프 > 뷰티 > 스킨케어 > 팩/마스크;(#M)위메프 > 뷰티 > 스킨케어 > 팩/마스크 > 수면팩 위메프 > 뷰티 > 스킨케어 > 팩/마스크 > 수면팩'
8	'푸드어홀릭 알로하와이 블렌딩 오일 150ml/태닝오일 LotteOn > 뷰티 > 스킨케어 > 선케어 > 태닝 LotteOn > 뷰티 > 스킨케어 > 선케어 > 태닝' '눅스 눅스 썬 멜팅 스프레이 하이 프로텍션 SPF 50 150ml (#M)11st>바디케어>태닝용품>오일 11st > 뷰티 > 바디케어 > 태닝용품' '에스엔피 바디제비집 쿨링 선 스프레이 SPF50+PA+ 90ml (#M)쿠팡 홈>뷰티>스킨케어>선케어/태닝>선케어>선스프레이 Coupang > 뷰티 > 스킨케어 > 선케어/태닝 > 선케어 > 선스프레이'
0	'미니스 여행용세트 x 3개 여행용 세면도구 트래블키트 MinSellAmount (#M)바디/헤어>바디케어>바디케어세트 Gmarket > 뷰티 > 바디/헤어 > 바디케어 > 바디케어세트' '미니스 카카오프렌즈 여행용 세면도구 세트 5종 콤팩트 트래블키트 LotteOn > 뷰티 > 스킨케어 > 클렌징 > 클렌징폼 LotteOn > 뷰티 > 스킨케어 > 클렌징 > 클렌징폼' '밀크바오밥 베이비 여행용 3종 키트 베이비 워시 70ml + 로션 70ml + 수딩 젤 로션 70ml × 1세트 쿠팡 홈;Coupang > 뷰티 > 어린이화장품 > 세트/키트;(#M)쿠팡 홈>뷰티>어린이화장품>세트/키트 Coupang > 출산/유아동 > 욕실용품/스킨케어 > 어린이화장품'

Evaluation

Metrics

Label	Accuracy
all	0.951

Uses

Direct Use for Inference

First install the SetFit library:

pip install setfit

Then you can load this model and run inference.

from setfit import SetFitModel

# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("mini1013/master_item_bt_test_flat_top")
# Run inference
preds = model("비레디 유브이 디펜스 선 베이스 톤업 포 히어로즈 50ml(SPF47)  (#M)홈>전체상품 Naverstore > 화장품/미용 > 남성화장품 > 선크림")

Training Details

Training Set Metrics

Training set	Min	Median	Max
Word count	10	23.0611	125

Label	Training Sample Count
0	50
1	518
2	200
3	200
4	748
5	350
6	351
7	550
8	250
9	600
10	350
11	200
12	350
13	500

Training Hyperparameters

• batch_size: (64, 64)
• num_epochs: (30, 30)
• max_steps: -1
• sampling_strategy: oversampling
• num_iterations: 100
• body_learning_rate: (2e-05, 1e-05)
• head_learning_rate: 0.01
• loss: CosineSimilarityLoss
• distance_metric: cosine_distance
• margin: 0.25
• end_to_end: False
• use_amp: False
• warmup_proportion: 0.1
• l2_weight: 0.01
• seed: 42
• eval_max_steps: -1
• load_best_model_at_end: False

Training Results

Epoch	Step	Training Loss	Validation Loss
0.0001	1	0.4231	-
0.0061	50	0.4335	-
0.0123	100	0.427	-
0.0184	150	0.4202	-
0.0245	200	0.4144	-
0.0307	250	0.4107	-
0.0368	300	0.409	-
0.0429	350	0.4096	-
0.0491	400	0.3832	-
0.0552	450	0.385	-
0.0613	500	0.3814	-
0.0675	550	0.3632	-
0.0736	600	0.3665	-
0.0797	650	0.3411	-
0.0859	700	0.3275	-
0.0920	750	0.3093	-
0.0981	800	0.2841	-
0.1043	850	0.276	-
0.1104	900	0.2456	-
0.1165	950	0.2269	-
0.1227	1000	0.2051	-
0.1288	1050	0.1908	-
0.1349	1100	0.1783	-
0.1411	1150	0.1637	-
0.1472	1200	0.1534	-
0.1533	1250	0.1397	-
0.1595	1300	0.1319	-
0.1656	1350	0.1232	-
0.1717	1400	0.1176	-
0.1779	1450	0.1109	-
0.1840	1500	0.1175	-
0.1901	1550	0.1038	-
0.1963	1600	0.1052	-
0.2024	1650	0.0989	-
0.2085	1700	0.0936	-
0.2147	1750	0.0884	-
0.2208	1800	0.0846	-
0.2269	1850	0.0827	-
0.2331	1900	0.0802	-
0.2392	1950	0.0779	-
0.2453	2000	0.0759	-
0.2515	2050	0.0685	-
0.2576	2100	0.0652	-
0.2637	2150	0.0635	-
0.2699	2200	0.0613	-
0.2760	2250	0.0546	-
0.2821	2300	0.0554	-
0.2883	2350	0.056	-
0.2944	2400	0.0502	-
0.3005	2450	0.0505	-
0.3067	2500	0.0447	-
0.3128	2550	0.0432	-
0.3189	2600	0.0388	-
0.3251	2650	0.0391	-
0.3312	2700	0.0397	-
0.3373	2750	0.0343	-
0.3435	2800	0.0346	-
0.3496	2850	0.0321	-
0.3557	2900	0.0311	-
0.3619	2950	0.0288	-
0.3680	3000	0.0289	-
0.3741	3050	0.0265	-
0.3803	3100	0.0249	-
0.3864	3150	0.0245	-
0.3925	3200	0.0235	-
0.3987	3250	0.021	-
0.4048	3300	0.0218	-
0.4109	3350	0.0199	-
0.4171	3400	0.0192	-
0.4232	3450	0.0214	-
0.4293	3500	0.0189	-
0.4355	3550	0.0169	-
0.4416	3600	0.0178	-
0.4477	3650	0.015	-
0.4539	3700	0.0168	-
0.4600	3750	0.0179	-
0.4661	3800	0.0189	-
0.4723	3850	0.0118	-
0.4784	3900	0.0144	-
0.4845	3950	0.0139	-
0.4907	4000	0.0125	-
0.4968	4050	0.0137	-
0.5029	4100	0.0131	-
0.5091	4150	0.0109	-
0.5152	4200	0.0097	-
0.5213	4250	0.0108	-
0.5275	4300	0.0085	-
0.5336	4350	0.0076	-
0.5397	4400	0.0085	-
0.5459	4450	0.0066	-
0.5520	4500	0.006	-
0.5581	4550	0.0066	-
0.5643	4600	0.005	-
0.5704	4650	0.0047	-
0.5765	4700	0.0046	-
0.5827	4750	0.0047	-
0.5888	4800	0.0046	-
0.5949	4850	0.0043	-
0.6011	4900	0.0044	-
0.6072	4950	0.0038	-
0.6133	5000	0.0038	-
0.6195	5050	0.0036	-
0.6256	5100	0.0036	-
0.6317	5150	0.0034	-
0.6379	5200	0.0032	-
0.6440	5250	0.0024	-
0.6501	5300	0.0023	-
0.6563	5350	0.002	-
0.6624	5400	0.0037	-
0.6685	5450	0.0027	-
0.6747	5500	0.0023	-
0.6808	5550	0.0018	-
0.6869	5600	0.0029	-
0.6931	5650	0.0023	-
0.6992	5700	0.002	-
0.7053	5750	0.0021	-
0.7115	5800	0.0014	-
0.7176	5850	0.0017	-
0.7237	5900	0.001	-
0.7299	5950	0.0018	-
0.7360	6000	0.0015	-
0.7421	6050	0.0014	-
0.7483	6100	0.0011	-
0.7544	6150	0.0016	-
0.7605	6200	0.0012	-
0.7667	6250	0.0013	-
0.7728	6300	0.0012	-
0.7789	6350	0.0013	-
0.7851	6400	0.0012	-
0.7912	6450	0.0011	-
0.7974	6500	0.0016	-
0.8035	6550	0.0012	-
0.8096	6600	0.001	-
0.8158	6650	0.0007	-
0.8219	6700	0.0011	-
0.8280	6750	0.0011	-
0.8342	6800	0.0009	-
0.8403	6850	0.001	-
0.8464	6900	0.0006	-
0.8526	6950	0.0009	-
0.8587	7000	0.0011	-
0.8648	7050	0.0014	-
0.8710	7100	0.0015	-
0.8771	7150	0.0017	-
0.8832	7200	0.0007	-
0.8894	7250	0.0017	-
0.8955	7300	0.0011	-
0.9016	7350	0.0006	-
0.9078	7400	0.0003	-
0.9139	7450	0.001	-
0.9200	7500	0.0013	-
0.9262	7550	0.0009	-
0.9323	7600	0.0012	-
0.9384	7650	0.001	-
0.9446	7700	0.0008	-
0.9507	7750	0.0011	-
0.9568	7800	0.0009	-
0.9630	7850	0.0007	-
0.9691	7900	0.0002	-
0.9752	7950	0.0006	-
0.9814	8000	0.0009	-
0.9875	8050	0.0012	-
0.9936	8100	0.0008	-
0.9998	8150	0.0003	-
1.0059	8200	0.001	-
1.0120	8250	0.0016	-
1.0182	8300	0.0005	-
1.0243	8350	0.0008	-
1.0304	8400	0.0006	-
1.0366	8450	0.0004	-
1.0427	8500	0.0005	-
1.0488	8550	0.0008	-
1.0550	8600	0.001	-
1.0611	8650	0.0005	-
1.0672	8700	0.0007	-
1.0734	8750	0.0009	-
1.0795	8800	0.0008	-
1.0856	8850	0.0008	-
1.0918	8900	0.0009	-
1.0979	8950	0.0005	-
1.1040	9000	0.0005	-
1.1102	9050	0.0003	-
1.1163	9100	0.0005	-
1.1224	9150	0.0008	-
1.1286	9200	0.0004	-
1.1347	9250	0.0005	-
1.1408	9300	0.0004	-
1.1470	9350	0.0003	-
1.1531	9400	0.0003	-
1.1592	9450	0.0006	-
1.1654	9500	0.0001	-
1.1715	9550	0.0004	-
1.1776	9600	0.0002	-
1.1838	9650	0.0002	-
1.1899	9700	0.0	-
1.1960	9750	0.0003	-
1.2022	9800	0.0003	-
1.2083	9850	0.0003	-
1.2144	9900	0.0007	-
1.2206	9950	0.0012	-
1.2267	10000	0.0018	-
1.2328	10050	0.0019	-
1.2390	10100	0.0014	-
1.2451	10150	0.0009	-
1.2512	10200	0.0009	-
1.2574	10250	0.0007	-
1.2635	10300	0.0006	-
1.2696	10350	0.0006	-
1.2758	10400	0.0002	-
1.2819	10450	0.0006	-
1.2880	10500	0.0004	-
1.2942	10550	0.0006	-
1.3003	10600	0.0009	-
1.3064	10650	0.0004	-
1.3126	10700	0.0006	-
1.3187	10750	0.0007	-
1.3248	10800	0.0013	-
1.3310	10850	0.0006	-
1.3371	10900	0.0009	-
1.3432	10950	0.0009	-
1.3494	11000	0.0005	-
1.3555	11050	0.0008	-
1.3616	11100	0.0007	-
1.3678	11150	0.0002	-
1.3739	11200	0.0004	-
1.3800	11250	0.0004	-
1.3862	11300	0.0009	-
1.3923	11350	0.0006	-
1.3984	11400	0.0003	-
1.4046	11450	0.0003	-
1.4107	11500	0.0002	-
1.4168	11550	0.0004	-
1.4230	11600	0.0002	-
1.4291	11650	0.0005	-
1.4352	11700	0.0002	-
1.4414	11750	0.0004	-
1.4475	11800	0.0003	-
1.4536	11850	0.0007	-
1.4598	11900	0.0008	-
1.4659	11950	0.0004	-
1.4720	12000	0.0002	-
1.4782	12050	0.0008	-
1.4843	12100	0.0006	-
1.4904	12150	0.0004	-
1.4966	12200	0.001	-
1.5027	12250	0.0004	-
1.5088	12300	0.0002	-
1.5150	12350	0.0004	-
1.5211	12400	0.0006	-
1.5272	12450	0.0005	-
1.5334	12500	0.0007	-
1.5395	12550	0.0004	-
1.5456	12600	0.0004	-
1.5518	12650	0.0003	-
1.5579	12700	0.0001	-
1.5640	12750	0.001	-
1.5702	12800	0.0007	-
1.5763	12850	0.0006	-
1.5824	12900	0.0005	-
1.5886	12950	0.0006	-
1.5947	13000	0.0006	-
1.6008	13050	0.0002	-
1.6070	13100	0.0001	-
1.6131	13150	0.0012	-
1.6192	13200	0.0003	-
1.6254	13250	0.0001	-
1.6315	13300	0.0	-
1.6376	13350	0.0	-
1.6438	13400	0.0002	-
1.6499	13450	0.0002	-
1.6560	13500	0.0005	-
1.6622	13550	0.0008	-
1.6683	13600	0.0005	-
1.6744	13650	0.0004	-
1.6806	13700	0.0003	-
1.6867	13750	0.0006	-
1.6928	13800	0.0008	-
1.6990	13850	0.0014	-
1.7051	13900	0.0001	-
1.7112	13950	0.0014	-
1.7174	14000	0.0015	-
1.7235	14050	0.0004	-
1.7296	14100	0.0	-
1.7358	14150	0.0006	-
1.7419	14200	0.0009	-
1.7480	14250	0.0	-
1.7542	14300	0.0002	-
1.7603	14350	0.0007	-
1.7664	14400	0.0004	-
1.7726	14450	0.0005	-
1.7787	14500	0.0022	-
1.7848	14550	0.0017	-
1.7910	14600	0.001	-
1.7971	14650	0.0005	-
1.8032	14700	0.001	-
1.8094	14750	0.0008	-
1.8155	14800	0.0004	-
1.8216	14850	0.0004	-
1.8278	14900	0.0002	-
1.8339	14950	0.0003	-
1.8400	15000	0.0003	-
1.8462	15050	0.0003	-
1.8523	15100	0.0003	-
1.8584	15150	0.0003	-
1.8646	15200	0.0011	-
1.8707	15250	0.0002	-
1.8768	15300	0.0003	-
1.8830	15350	0.0002	-
1.8891	15400	0.0004	-
1.8952	15450	0.0004	-
1.9014	15500	0.0007	-
1.9075	15550	0.0006	-
1.9136	15600	0.0006	-
1.9198	15650	0.0008	-
1.9259	15700	0.001	-
1.9320	15750	0.0007	-
1.9382	15800	0.0007	-
1.9443	15850	0.0006	-
1.9504	15900	0.0001	-
1.9566	15950	0.0001	-
1.9627	16000	0.0	-
1.9688	16050	0.0002	-
1.9750	16100	0.0002	-
1.9811	16150	0.0	-
1.9872	16200	0.0002	-
1.9934	16250	0.0003	-
1.9995	16300	0.0	-
2.0056	16350	0.0	-
2.0118	16400	0.0004	-
2.0179	16450	0.0	-
2.0240	16500	0.0003	-
2.0302	16550	0.0006	-
2.0363	16600	0.0004	-
2.0424	16650	0.0022	-
2.0486	16700	0.0025	-
2.0547	16750	0.0021	-
2.0608	16800	0.0006	-
2.0670	16850	0.0008	-
2.0731	16900	0.0004	-
2.0792	16950	0.0005	-
2.0854	17000	0.0008	-
2.0915	17050	0.0002	-
2.0976	17100	0.0002	-
2.1038	17150	0.0002	-
2.1099	17200	0.0008	-
2.1160	17250	0.0002	-
2.1222	17300	0.0	-
2.1283	17350	0.0004	-
2.1344	17400	0.0003	-
2.1406	17450	0.0008	-
2.1467	17500	0.0003	-
2.1528	17550	0.0004	-
2.1590	17600	0.0002	-
2.1651	17650	0.0003	-
2.1712	17700	0.0	-
2.1774	17750	0.0001	-
2.1835	17800	0.0	-
2.1896	17850	0.0004	-
2.1958	17900	0.0003	-
2.2019	17950	0.0005	-
2.2080	18000	0.0005	-
2.2142	18050	0.0009	-
2.2203	18100	0.0009	-
2.2264	18150	0.0004	-
2.2326	18200	0.0002	-
2.2387	18250	0.0	-
2.2448	18300	0.0002	-
2.2510	18350	0.0012	-
2.2571	18400	0.0011	-
2.2632	18450	0.0008	-
2.2694	18500	0.0002	-
2.2755	18550	0.0	-
2.2816	18600	0.0003	-
2.2878	18650	0.0002	-
2.2939	18700	0.0002	-
2.3000	18750	0.0002	-
2.3062	18800	0.0	-
2.3123	18850	0.0002	-
2.3184	18900	0.0	-
2.3246	18950	0.0	-
2.3307	19000	0.0	-
2.3368	19050	0.0001	-
2.3430	19100	0.0001	-
2.3491	19150	0.0003	-
2.3553	19200	0.0003	-
2.3614	19250	0.0002	-
2.3675	19300	0.0008	-
2.3737	19350	0.0004	-
2.3798	19400	0.0005	-
2.3859	19450	0.0002	-
2.3921	19500	0.0	-
2.3982	19550	0.0004	-
2.4043	19600	0.0015	-
2.4105	19650	0.0023	-
2.4166	19700	0.0006	-
2.4227	19750	0.0007	-
2.4289	19800	0.0005	-
2.4350	19850	0.0006	-
2.4411	19900	0.0011	-
2.4473	19950	0.0007	-
2.4534	20000	0.0008	-
2.4595	20050	0.0004	-
2.4657	20100	0.0004	-
2.4718	20150	0.0007	-
2.4779	20200	0.0008	-
2.4841	20250	0.0	-
2.4902	20300	0.0	-
2.4963	20350	0.0	-
2.5025	20400	0.0005	-
2.5086	20450	0.0002	-
2.5147	20500	0.0003	-
2.5209	20550	0.0	-
2.5270	20600	0.0	-
2.5331	20650	0.0	-
2.5393	20700	0.0	-
2.5454	20750	0.0002	-
2.5515	20800	0.0	-
2.5577	20850	0.0002	-
2.5638	20900	0.0006	-
2.5699	20950	0.0013	-
2.5761	21000	0.0008	-
2.5822	21050	0.0012	-
2.5883	21100	0.0015	-
2.5945	21150	0.0013	-
2.6006	21200	0.001	-
2.6067	21250	0.0005	-
2.6129	21300	0.0002	-
2.6190	21350	0.0003	-
2.6251	21400	0.0006	-
2.6313	21450	0.0003	-
2.6374	21500	0.0	-
2.6435	21550	0.0007	-
2.6497	21600	0.0002	-
2.6558	21650	0.0002	-
2.6619	21700	0.0002	-
2.6681	21750	0.0002	-
2.6742	21800	0.0005	-
2.6803	21850	0.0006	-
2.6865	21900	0.0008	-
2.6926	21950	0.0005	-
2.6987	22000	0.0001	-
2.7049	22050	0.0002	-
2.7110	22100	0.0002	-
2.7171	22150	0.0	-
2.7233	22200	0.0001	-
2.7294	22250	0.0003	-
2.7355	22300	0.0	-
2.7417	22350	0.0	-
2.7478	22400	0.0	-
2.7539	22450	0.0004	-
2.7601	22500	0.0003	-
2.7662	22550	0.0	-
2.7723	22600	0.0005	-
2.7785	22650	0.0006	-
2.7846	22700	0.0013	-
2.7907	22750	0.0003	-
2.7969	22800	0.0007	-
2.8030	22850	0.0005	-
2.8091	22900	0.0004	-
2.8153	22950	0.0005	-
2.8214	23000	0.0009	-
2.8275	23050	0.0008	-
2.8337	23100	0.0008	-
2.8398	23150	0.0006	-
2.8459	23200	0.0002	-
2.8521	23250	0.0002	-
2.8582	23300	0.0011	-
2.8643	23350	0.0007	-
2.8705	23400	0.0009	-
2.8766	23450	0.0005	-
2.8827	23500	0.0002	-
2.8889	23550	0.0001	-
2.8950	23600	0.0009	-
2.9011	23650	0.0006	-
2.9073	23700	0.0009	-
2.9134	23750	0.0011	-
2.9195	23800	0.0002	-
2.9257	23850	0.0003	-
2.9318	23900	0.0006	-
2.9379	23950	0.0004	-
2.9441	24000	0.0	-
2.9502	24050	0.0003	-
2.9563	24100	0.0002	-
2.9625	24150	0.0002	-
2.9686	24200	0.0004	-
2.9747	24250	0.0025	-
2.9809	24300	0.0012	-
2.9870	24350	0.0009	-
2.9931	24400	0.0006	-
2.9993	24450	0.0005	-
3.0054	24500	0.0008	-
3.0115	24550	0.0007	-
3.0177	24600	0.0011	-
3.0238	24650	0.0004	-
3.0299	24700	0.0007	-
3.0361	24750	0.0009	-
3.0422	24800	0.0022	-
3.0483	24850	0.0016	-
3.0545	24900	0.0006	-
3.0606	24950	0.0004	-
3.0667	25000	0.0005	-
3.0729	25050	0.0003	-
3.0790	25100	0.0002	-
3.0851	25150	0.0004	-
3.0913	25200	0.0006	-
3.0974	25250	0.0003	-
3.1035	25300	0.0006	-
3.1097	25350	0.0005	-
3.1158	25400	0.0004	-
3.1219	25450	0.0001	-
3.1281	25500	0.0007	-
3.1342	25550	0.0008	-
3.1403	25600	0.0014	-
3.1465	25650	0.0016	-
3.1526	25700	0.0004	-
3.1587	25750	0.0003	-
3.1649	25800	0.0006	-
3.1710	25850	0.0004	-
3.1771	25900	0.0006	-
3.1833	25950	0.0003	-
3.1894	26000	0.0	-
3.1955	26050	0.0	-
3.2017	26100	0.0003	-
3.2078	26150	0.0	-
3.2139	26200	0.0	-
3.2201	26250	0.0	-
3.2262	26300	0.0001	-
3.2323	26350	0.0	-
3.2385	26400	0.0004	-
3.2446	26450	0.0011	-
3.2507	26500	0.0004	-
3.2569	26550	0.0005	-
3.2630	26600	0.0006	-
3.2691	26650	0.0012	-
3.2753	26700	0.0002	-
3.2814	26750	0.0	-
3.2875	26800	0.0004	-
3.2937	26850	0.0005	-
3.2998	26900	0.0006	-
3.3059	26950	0.0004	-
3.3121	27000	0.001	-
3.3182	27050	0.0013	-
3.3243	27100	0.0012	-
3.3305	27150	0.0002	-
3.3366	27200	0.0005	-
3.3427	27250	0.0003	-
3.3489	27300	0.0001	-
3.3550	27350	0.0	-
3.3611	27400	0.0	-
3.3673	27450	0.0003	-
3.3734	27500	0.0003	-
3.3795	27550	0.0002	-
3.3857	27600	0.0003	-
3.3918	27650	0.0002	-
3.3979	27700	0.0	-
3.4041	27750	0.0002	-
3.4102	27800	0.0001	-
3.4163	27850	0.0002	-
3.4225	27900	0.0	-
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10.0773	82150	0.0	-
10.0834	82200	0.0002	-
10.0895	82250	0.0	-
10.0957	82300	0.0	-
10.1018	82350	0.0003	-
10.1079	82400	0.0	-
10.1141	82450	0.0	-
10.1202	82500	0.0	-
10.1263	82550	0.0	-
10.1325	82600	0.0002	-
10.1386	82650	0.0001	-
10.1447	82700	0.0	-
10.1509	82750	0.0	-
10.1570	82800	0.0	-
10.1632	82850	0.0002	-
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10.1816	83000	0.0	-
10.1877	83050	0.0	-
10.1938	83100	0.0	-
10.2000	83150	0.0	-
10.2061	83200	0.0002	-
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10.2184	83300	0.0001	-
10.2245	83350	0.0	-
10.2306	83400	0.0005	-
10.2368	83450	0.0	-
10.2429	83500	0.0	-
10.2490	83550	0.0003	-
10.2552	83600	0.0	-
10.2613	83650	0.0001	-
10.2674	83700	0.0	-
10.2736	83750	0.0	-
10.2797	83800	0.0002	-
10.2858	83850	0.0	-
10.2920	83900	0.0	-
10.2981	83950	0.0	-
10.3042	84000	0.0	-
10.3104	84050	0.0003	-
10.3165	84100	0.0	-
10.3226	84150	0.0003	-
10.3288	84200	0.0001	-
10.3349	84250	0.0004	-
10.3410	84300	0.0003	-
10.3472	84350	0.0	-
10.3533	84400	0.0	-
10.3594	84450	0.0005	-
10.3656	84500	0.0	-
10.3717	84550	0.0002	-
10.3778	84600	0.0016	-
10.3840	84650	0.0	-
10.3901	84700	0.0	-
10.3962	84750	0.0	-
10.4024	84800	0.0	-
10.4085	84850	0.0	-
10.4146	84900	0.0003	-
10.4208	84950	0.0004	-
10.4269	85000	0.0003	-
10.4330	85050	0.0002	-
10.4392	85100	0.0003	-
10.4453	85150	0.0002	-
10.4514	85200	0.0	-
10.4576	85250	0.0	-
10.4637	85300	0.0	-
10.4698	85350	0.0002	-
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10.4821	85450	0.0	-
10.4882	85500	0.0	-
10.4944	85550	0.0	-
10.5005	85600	0.0004	-
10.5066	85650	0.0003	-
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10.5189	85750	0.0004	-
10.5250	85800	0.0002	-
10.5312	85850	0.0002	-
10.5373	85900	0.0	-
10.5434	85950	0.0	-
10.5496	86000	0.0002	-
10.5557	86050	0.0003	-
10.5618	86100	0.0	-
10.5680	86150	0.0	-
10.5741	86200	0.0	-
10.5802	86250	0.0002	-
10.5864	86300	0.0	-
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10.5986	86400	0.0002	-
10.6048	86450	0.0001	-
10.6109	86500	0.0006	-
10.6170	86550	0.0002	-
10.6232	86600	0.0001	-
10.6293	86650	0.0002	-
10.6354	86700	0.0	-
10.6416	86750	0.0001	-
10.6477	86800	0.0004	-
10.6538	86850	0.0006	-
10.6600	86900	0.0007	-
10.6661	86950	0.0005	-
10.6722	87000	0.0002	-
10.6784	87050	0.0	-
10.6845	87100	0.0002	-
10.6906	87150	0.0	-
10.6968	87200	0.0005	-
10.7029	87250	0.0003	-
10.7090	87300	0.0	-
10.7152	87350	0.0002	-
10.7213	87400	0.0	-
10.7274	87450	0.0005	-
10.7336	87500	0.0003	-
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10.7458	87600	0.0002	-
10.7520	87650	0.0001	-
10.7581	87700	0.0002	-
10.7642	87750	0.0002	-
10.7704	87800	0.0	-
10.7765	87850	0.0	-
10.7826	87900	0.0	-
10.7888	87950	0.0	-
10.7949	88000	0.0	-
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10.8072	88100	0.0	-
10.8133	88150	0.0	-
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10.8256	88250	0.0	-
10.8317	88300	0.0	-
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10.8440	88400	0.0	-
10.8501	88450	0.0	-
10.8562	88500	0.0	-
10.8624	88550	0.0002	-
10.8685	88600	0.0002	-
10.8746	88650	0.0	-
10.8808	88700	0.0	-
10.8869	88750	0.0002	-
10.8930	88800	0.0	-
10.8992	88850	0.0	-
10.9053	88900	0.0	-
10.9114	88950	0.0002	-
10.9176	89000	0.0005	-
10.9237	89050	0.0	-
10.9298	89100	0.0	-
10.9360	89150	0.0	-
10.9421	89200	0.0	-
10.9482	89250	0.0	-
10.9544	89300	0.0	-
10.9605	89350	0.0	-
10.9666	89400	0.0	-
10.9728	89450	0.0	-
10.9789	89500	0.0002	-
10.9850	89550	0.0	-
10.9912	89600	0.0002	-
10.9973	89650	0.0	-
11.0034	89700	0.0	-
11.0096	89750	0.0002	-
11.0157	89800	0.0	-
11.0218	89850	0.0002	-
11.0280	89900	0.0	-
11.0341	89950	0.0037	-
11.0402	90000	0.0013	-
11.0464	90050	0.0003	-
11.0525	90100	0.0002	-
11.0586	90150	0.0002	-
11.0648	90200	0.0005	-
11.0709	90250	0.0006	-
11.0770	90300	0.0023	-
11.0832	90350	0.0028	-
11.0893	90400	0.0047	-
11.0954	90450	0.0025	-
11.1016	90500	0.0039	-
11.1077	90550	0.0047	-
11.1138	90600	0.0045	-
11.1200	90650	0.0034	-
11.1261	90700	0.0027	-
11.1322	90750	0.0022	-
11.1384	90800	0.0025	-
11.1445	90850	0.0041	-
11.1506	90900	0.0023	-
11.1568	90950	0.003	-
11.1629	91000	0.0031	-
11.1690	91050	0.0026	-
11.1752	91100	0.0023	-
11.1813	91150	0.0038	-
11.1874	91200	0.0025	-
11.1936	91250	0.0043	-
11.1997	91300	0.0031	-
11.2058	91350	0.0026	-
11.2120	91400	0.0034	-
11.2181	91450	0.0047	-
11.2242	91500	0.0024	-
11.2304	91550	0.0005	-
11.2365	91600	0.0008	-
11.2426	91650	0.0003	-
11.2488	91700	0.0004	-
11.2549	91750	0.0004	-
11.2610	91800	0.0002	-
11.2672	91850	0.0002	-
11.2733	91900	0.0	-
11.2794	91950	0.0008	-
11.2856	92000	0.0002	-
11.2917	92050	0.0003	-
11.2978	92100	0.0003	-
11.3040	92150	0.0003	-
11.3101	92200	0.0001	-
11.3162	92250	0.0	-
11.3224	92300	0.0	-
11.3285	92350	0.0005	-
11.3346	92400	0.0003	-
11.3408	92450	0.0013	-
11.3469	92500	0.0009	-
11.3530	92550	0.0008	-
11.3592	92600	0.0008	-
11.3653	92650	0.0003	-
11.3714	92700	0.0002	-
11.3776	92750	0.0003	-
11.3837	92800	0.0002	-
11.3898	92850	0.0004	-
11.3960	92900	0.001	-
11.4021	92950	0.0008	-
11.4082	93000	0.0005	-
11.4144	93050	0.0005	-
11.4205	93100	0.0008	-
11.4266	93150	0.0006	-
11.4328	93200	0.0004	-
11.4389	93250	0.0006	-
11.4450	93300	0.001	-
11.4512	93350	0.0008	-
11.4573	93400	0.0007	-
11.4634	93450	0.0003	-
11.4696	93500	0.0	-
11.4757	93550	0.0006	-
11.4818	93600	0.0002	-
11.4880	93650	0.0004	-
11.4941	93700	0.0003	-
11.5002	93750	0.0002	-
11.5064	93800	0.0	-
11.5125	93850	0.0006	-
11.5186	93900	0.0006	-
11.5248	93950	0.0002	-
11.5309	94000	0.0005	-
11.5370	94050	0.0003	-
11.5432	94100	0.0003	-
11.5493	94150	0.0	-
11.5554	94200	0.0002	-
11.5616	94250	0.0002	-
11.5677	94300	0.0003	-
11.5738	94350	0.0002	-
11.5800	94400	0.0003	-
11.5861	94450	0.0003	-
11.5922	94500	0.0002	-
11.5984	94550	0.0003	-
11.6045	94600	0.0001	-
11.6106	94650	0.0002	-
11.6168	94700	0.0002	-
11.6229	94750	0.0008	-
11.6290	94800	0.0009	-
11.6352	94850	0.0002	-
11.6413	94900	0.0001	-
11.6474	94950	0.0	-
11.6536	95000	0.0	-
11.6597	95050	0.0	-
11.6658	95100	0.0005	-
11.6720	95150	0.0002	-
11.6781	95200	0.0002	-
11.6842	95250	0.0002	-
11.6904	95300	0.0003	-
11.6965	95350	0.0	-
11.7026	95400	0.0001	-
11.7088	95450	0.0003	-
11.7149	95500	0.0006	-
11.7211	95550	0.0003	-
11.7272	95600	0.0	-
11.7333	95650	0.0001	-
11.7395	95700	0.0003	-
11.7456	95750	0.0002	-
11.7517	95800	0.0	-
11.7579	95850	0.0	-
11.7640	95900	0.0	-
11.7701	95950	0.0	-
11.7763	96000	0.0	-
11.7824	96050	0.0	-
11.7885	96100	0.0	-
11.7947	96150	0.0002	-
11.8008	96200	0.0002	-
11.8069	96250	0.0002	-
11.8131	96300	0.0	-
11.8192	96350	0.0	-
11.8253	96400	0.0	-
11.8315	96450	0.0	-
11.8376	96500	0.0	-
11.8437	96550	0.0	-
11.8499	96600	0.0	-
11.8560	96650	0.0	-
11.8621	96700	0.0	-
11.8683	96750	0.0	-
11.8744	96800	0.0002	-
11.8805	96850	0.0	-
11.8867	96900	0.0002	-
11.8928	96950	0.0	-
11.8989	97000	0.0	-
11.9051	97050	0.0	-
11.9112	97100	0.0	-
11.9173	97150	0.0	-
11.9235	97200	0.0	-
11.9296	97250	0.0002	-
11.9357	97300	0.0	-
11.9419	97350	0.0	-
11.9480	97400	0.0	-
11.9541	97450	0.0	-
11.9603	97500	0.0	-
11.9664	97550	0.0003	-
11.9725	97600	0.0002	-
11.9787	97650	0.0	-
11.9848	97700	0.0002	-
11.9909	97750	0.0	-
11.9971	97800	0.0004	-
12.0032	97850	0.0005	-
12.0093	97900	0.0007	-
12.0155	97950	0.0001	-
12.0216	98000	0.0002	-
12.0277	98050	0.0002	-
12.0339	98100	0.0	-
12.0400	98150	0.0	-
12.0461	98200	0.0	-
12.0523	98250	0.0002	-
12.0584	98300	0.0002	-
12.0645	98350	0.0	-
12.0707	98400	0.0	-
12.0768	98450	0.0	-
12.0829	98500	0.0003	-
12.0891	98550	0.0	-
12.0952	98600	0.0	-
12.1013	98650	0.0002	-
12.1075	98700	0.0	-
12.1136	98750	0.0	-
12.1197	98800	0.0	-
12.1259	98850	0.0	-
12.1320	98900	0.0	-
12.1381	98950	0.0	-
12.1443	99000	0.0	-
12.1504	99050	0.0002	-
12.1565	99100	0.0002	-
12.1627	99150	0.0009	-
12.1688	99200	0.0002	-
12.1749	99250	0.0	-
12.1811	99300	0.0002	-
12.1872	99350	0.0003	-
12.1933	99400	0.0002	-
12.1995	99450	0.0	-
12.2056	99500	0.0008	-
12.2117	99550	0.0004	-
12.2179	99600	0.0003	-
12.2240	99650	0.0002	-
12.2301	99700	0.0003	-
12.2363	99750	0.0005	-
12.2424	99800	0.0	-
12.2485	99850	0.0008	-
12.2547	99900	0.0003	-
12.2608	99950	0.0004	-
12.2669	100000	0.0002	-
12.2731	100050	0.0003	-
12.2792	100100	0.0003	-
12.2853	100150	0.0003	-
12.2915	100200	0.0002	-
12.2976	100250	0.0002	-
12.3037	100300	0.0006	-
12.3099	100350	0.0001	-
12.3160	100400	0.0002	-
12.3221	100450	0.0002	-
12.3283	100500	0.0	-
12.3344	100550	0.0	-
12.3405	100600	0.0003	-
12.3467	100650	0.0	-
12.3528	100700	0.0003	-
12.3589	100750	0.0	-
12.3651	100800	0.0	-
12.3712	100850	0.0	-
12.3773	100900	0.0003	-
12.3835	100950	0.0009	-
12.3896	101000	0.0004	-
12.3957	101050	0.0004	-
12.4019	101100	0.0002	-
12.4080	101150	0.0003	-
12.4141	101200	0.0	-
12.4203	101250	0.0003	-
12.4264	101300	0.0002	-
12.4325	101350	0.0003	-
12.4387	101400	0.0002	-
12.4448	101450	0.0002	-
12.4509	101500	0.0003	-
12.4571	101550	0.0	-
12.4632	101600	0.0	-
12.4693	101650	0.0	-
12.4755	101700	0.0002	-
12.4816	101750	0.0001	-
12.4877	101800	0.0003	-
12.4939	101850	0.0002	-
12.5	101900	0.0002	-
12.5061	101950	0.0002	-
12.5123	102000	0.0003	-
12.5184	102050	0.0002	-
12.5245	102100	0.0	-
12.5307	102150	0.0002	-
12.5368	102200	0.0	-
12.5429	102250	0.0	-
12.5491	102300	0.0	-
12.5552	102350	0.0003	-
12.5613	102400	0.0	-
12.5675	102450	0.0	-
12.5736	102500	0.0	-
12.5797	102550	0.0	-
12.5859	102600	0.0	-
12.5920	102650	0.0	-
12.5981	102700	0.0	-
12.6043	102750	0.0002	-
12.6104	102800	0.0	-
12.6165	102850	0.0	-
12.6227	102900	0.0	-
12.6288	102950	0.0002	-
12.6349	103000	0.0	-
12.6411	103050	0.0	-
12.6472	103100	0.0	-
12.6533	103150	0.0	-
12.6595	103200	0.0002	-
12.6656	103250	0.0002	-
12.6717	103300	0.0005	-
12.6779	103350	0.0002	-
12.6840	103400	0.0001	-
12.6901	103450	0.0	-
12.6963	103500	0.0	-
12.7024	103550	0.0	-
12.7085	103600	0.0	-
12.7147	103650	0.0	-
12.7208	103700	0.0	-
12.7269	103750	0.0002	-
12.7331	103800	0.0	-
12.7392	103850	0.0003	-
12.7453	103900	0.0	-
12.7515	103950	0.0002	-
12.7576	104000	0.0	-
12.7637	104050	0.0	-
12.7699	104100	0.0001	-
12.7760	104150	0.0006	-
12.7821	104200	0.0022	-
12.7883	104250	0.0027	-
12.7944	104300	0.0004	-
12.8005	104350	0.0006	-
12.8067	104400	0.0006	-
12.8128	104450	0.0021	-
12.8189	104500	0.0028	-
12.8251	104550	0.0009	-
12.8312	104600	0.0001	-
12.8373	104650	0.0003	-
12.8435	104700	0.0016	-
12.8496	104750	0.0005	-
12.8557	104800	0.0008	-
12.8619	104850	0.0005	-
12.8680	104900	0.0008	-
12.8741	104950	0.0	-
12.8803	105000	0.0006	-
12.8864	105050	0.0003	-
12.8925	105100	0.0006	-
12.8987	105150	0.0005	-
12.9048	105200	0.0003	-
12.9109	105250	0.0002	-
12.9171	105300	0.0001	-
12.9232	105350	0.0002	-
12.9293	105400	0.0002	-
12.9355	105450	0.0	-
12.9416	105500	0.0002	-
12.9477	105550	0.0002	-
12.9539	105600	0.0006	-
12.9600	105650	0.0008	-
12.9661	105700	0.0	-
12.9723	105750	0.0006	-
12.9784	105800	0.0	-
12.9845	105850	0.0001	-
12.9907	105900	0.0007	-
12.9968	105950	0.0008	-
13.0029	106000	0.0	-
13.0091	106050	0.0	-
13.0152	106100	0.0002	-
13.0213	106150	0.0003	-
13.0275	106200	0.0005	-
13.0336	106250	0.0002	-
13.0397	106300	0.0003	-
13.0459	106350	0.0002	-
13.0520	106400	0.0002	-
13.0581	106450	0.0003	-
13.0643	106500	0.0003	-
13.0704	106550	0.0008	-
13.0765	106600	0.0003	-
13.0827	106650	0.0	-
13.0888	106700	0.0	-
13.0949	106750	0.0006	-
13.1011	106800	0.0003	-
13.1072	106850	0.0002	-
13.1133	106900	0.0002	-
13.1195	106950	0.0003	-
13.1256	107000	0.0003	-
13.1317	107050	0.0002	-
13.1379	107100	0.0003	-
13.1440	107150	0.0003	-
13.1501	107200	0.0003	-
13.1563	107250	0.0003	-
13.1624	107300	0.0006	-
13.1685	107350	0.0003	-
13.1747	107400	0.0005	-
13.1808	107450	0.0	-
13.1869	107500	0.0003	-
13.1931	107550	0.0002	-
13.1992	107600	0.0002	-
13.2053	107650	0.0002	-
13.2115	107700	0.0002	-
13.2176	107750	0.0005	-
13.2237	107800	0.0003	-
13.2299	107850	0.0006	-
13.2360	107900	0.0002	-
13.2421	107950	0.0003	-
13.2483	108000	0.0	-
13.2544	108050	0.001	-
13.2605	108100	0.0004	-
13.2667	108150	0.0	-
13.2728	108200	0.0006	-
13.2789	108250	0.0002	-
13.2851	108300	0.0003	-
13.2912	108350	0.0003	-
13.2974	108400	0.0	-
13.3035	108450	0.0	-
13.3096	108500	0.0002	-
13.3158	108550	0.0002	-
13.3219	108600	0.0007	-
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Framework Versions

• Python: 3.10.12
• SetFit: 1.1.0
• Sentence Transformers: 3.3.1
• Transformers: 4.44.2
• PyTorch: 2.2.0a0+81ea7a4
• Datasets: 3.2.0
• Tokenizers: 0.19.1

Citation

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}
}