metadata

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: 모니터 > 게이밍모니터 > mobiuzex시리즈
  - text: ssgcom > 면류 > 통조림 > 즉석식품 > 파스타면 > 생면 > 건면 > 파스타면
  - text: ssg > 생활  /  주방 > 건강  /  위생용품 > 면도  /  제모용품 > 면도기  /  날
  - text: ssgcom > 생수 > 음료 > 주류 > 과일 > 야채음료
  - text: 가전디지털컴퓨터 > 데스크탑 > lg > 일반데스크탑
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: 0.974609375
            name: Metric

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:

Fine-tuning a Sentence Transformer with contrastive learning.
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: 18 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
6	'남성화장품 > 남성클렌징 > 남성클렌징' '수납 / 청소 / 생활잡화 > 모기장 / 해충퇴치' 'ssgcom > 주방용품 > 밀폐 > 보관 > 저장용기 > 유리밀폐'
10	'특가판매 > 이월타이어 > 20인치' '금호타이어 > 솔루스ta21 > 18인치' '자동차용품 > 세차 / 카케어 > 흠집제거 / 복원 > 붓펜 / 도색용품'
7	'등산 > 골프 > 여성등산의류 > 바람막이 > 자켓 > 점퍼' '스웨그골프 > 스웨그퍼터' 'ssgcom > 골프 > 골프백 > 클러치 / 파우치'
14	'유아동신발 / 잡화 > 양말 / 타이즈 / 벨트 / 기타 > 기타잡화' 'ssg > 유아동 > 신생아 / 유아패션 > 니트 / 가디건 / 조끼' '생활용품 > 방한용품 > 아이마스크'
11	'진공청소기' '가전디지털컴퓨터 > 계절가전 / 에어컨 > 난방가전 > 온풍기 / 난방기' '스마트폰 > 갤럭시기타 > 갤럭시z폴드3'
4	'haruwellshop브랜드스토어 > 나우 > 캣키튼' '천연수제간식 > 야옹이수제간식' '애묘사료 > 사료'
5	'슈즈 > 베이스메이크업 > 파운데이션' '케라스타즈 > generic > 헤어트리트먼트' '화장품 / 향수 > 남성화장품 > 남성에센스 / 크림'
12	'주변기기1 > 기타제품 > 헤드셋거치대' '에어프라이어조리도구' '태블릿악세서리'
8	'싱글라이프 > 즉석식품 / 라면 > 즉석밥 / 도시락 > 즉석밥 / 국밥 / 덮밥 > 즉석덮밥 / 비빔밥' 'ssgcom > 장류 > 양념 > 가루 > 오일 > 장류 > 양념 > 쌈장' 'ssgcom > 과일 > 감 > 곶감 > 곶감 > 반건시'
16	'남성패션 > 브랜드잡화' '모자 / 장갑 / acc > 선글라스 / 안경 > 선글라스' 'ssg > 패션잡화 > 명품 / 수입잡화 > 지갑 > 키지갑 / 키홀더'
17	'생활용품 > 수납 / 정리 > 수납케이스 > 이쑤시개케이스' '취미문구 > 꽃 / 원예 / 원예용품' '결혼준비 > 가구 / 침구 > 침구 > 베개 > 베개솜'
15	'ssgcom > 여성브랜드패션 > 무스탕 > 퍼 > 퍼' '여성캐주얼 > 코트' '여성커리어 > 자켓 > 테일러드자켓'
3	'ssgcom > 문구 > 미술 > 사무 > 취미 > 미술 > 화방용품 > 스케치북 > 드로잉북' '완구 / 취미 > 수집품 > cd / lp > 월드뮤직' '생활 / 건강 > 문구 / 사무용품 > 필기도구 > 사인펜'
2	'ssgcom > 도서 > 국내도서 > 국어 > 외국어 > 사전 > 영어' '도서 / 음반 / dvd > it컴퓨터 > 프로그래밍언어' '도서 / 음반 / dvd > 인문 > 동양철학 > 노장사상 / 도교철학'
1	'가구 / 생활 / 건강 / 렌탈 > 생활 / 취미 > 건강 / 의료용품' '생활 / 건강 > 건강용품 > 찜질용품 > 좌욕기 / 좌훈기' '생활 / 건강 > 건강용품 > 의료용품 > 파스'
9	'ssgcom > 여행 > 여행용품 > 편의용품' 'ssgcom > 여행 > 골프여행 > 남태평양' 'ssgcom > 여행 > 호텔 / 리조트 / 펜션 > 국내호텔 / 리조트'
13	'전자담배 > 저스트포그' '전자담배기기csv > csv' '전자담배 > 코일'
0	'ssgcom > e쿠폰 > 상품권 > 상품권 > 기타상품권' 'ssgcom > e쿠폰 > 상품권 > 모바일쿠폰 > 커피 > 음료 > 아이스크림' 'ssgcom > 서비스 > 이사 > 클리닝 > 일반 > 포장이사'

Evaluation

Metrics

Label	Metric
all	0.9746

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("setfit_model_id")
# Run inference
preds = model("모니터 > 게이밍모니터 > mobiuzex시리즈")

Training Details

Training Set Metrics

Training set	Min	Median	Max
Word count	1	7.7736	45

Label	Training Sample Count
0	52
1	414
2	368
3	524
4	4729
5	3953
6	3719
7	2153
8	3898
9	18
10	824
11	22050
12	2292
13	113
14	1359
15	1576
16	1717
17	905

Training Hyperparameters

batch_size: (256, 256)
num_epochs: (10, 10)
max_steps: -1
sampling_strategy: oversampling
num_iterations: 20
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
0.0001	1	0.2762	-
0.0063	50	0.2832	-
0.0126	100	0.2566	-
0.0189	150	0.2048	-
0.0253	200	0.1497	-
0.0316	250	0.1044	-
0.0379	300	0.0974	-
0.0442	350	0.0855	-
0.0505	400	0.094	-
0.0568	450	0.0652	-
0.0632	500	0.0582	-
0.0695	550	0.0676	-
0.0758	600	0.0682	-
0.0821	650	0.0464	-
0.0884	700	0.0514	-
0.0947	750	0.0418	-
0.1010	800	0.0445	-
0.1074	850	0.0395	-
0.1137	900	0.0505	-
0.1200	950	0.0292	-
0.1263	1000	0.0248	-
0.1326	1050	0.0302	-
0.1389	1100	0.0469	-
0.1453	1150	0.0296	-
0.1516	1200	0.0342	-
0.1579	1250	0.0284	-
0.1642	1300	0.033	-
0.1705	1350	0.0344	-
0.1768	1400	0.0212	-
0.1832	1450	0.023	-
0.1895	1500	0.0145	-
0.1958	1550	0.0271	-
0.2021	1600	0.0225	-
0.2084	1650	0.0159	-
0.2147	1700	0.0299	-
0.2210	1750	0.0175	-
0.2274	1800	0.0253	-
0.2337	1850	0.0104	-
0.2400	1900	0.0212	-
0.2463	1950	0.0116	-
0.2526	2000	0.031	-
0.2589	2050	0.0109	-
0.2653	2100	0.0175	-
0.2716	2150	0.0197	-
0.2779	2200	0.0184	-
0.2842	2250	0.0107	-
0.2905	2300	0.0221	-
0.2968	2350	0.0168	-
0.3031	2400	0.0091	-
0.3095	2450	0.0133	-
0.3158	2500	0.0194	-
0.3221	2550	0.0194	-
0.3284	2600	0.0208	-
0.3347	2650	0.0207	-
0.3410	2700	0.0117	-
0.3474	2750	0.0266	-
0.3537	2800	0.0084	-
0.3600	2850	0.0114	-
0.3663	2900	0.0136	-
0.3726	2950	0.006	-
0.3789	3000	0.0079	-
0.3852	3050	0.0033	-
0.3916	3100	0.0111	-
0.3979	3150	0.012	-
0.4042	3200	0.0076	-
0.4105	3250	0.0038	-
0.4168	3300	0.0068	-
0.4231	3350	0.0135	-
0.4295	3400	0.0158	-
0.4358	3450	0.0198	-
0.4421	3500	0.0081	-
0.4484	3550	0.0209	-
0.4547	3600	0.0095	-
0.4610	3650	0.0152	-
0.4673	3700	0.0118	-
0.4737	3750	0.0123	-
0.4800	3800	0.0096	-
0.4863	3850	0.0053	-
0.4926	3900	0.0115	-
0.4989	3950	0.0075	-
0.5052	4000	0.0078	-
0.5116	4050	0.0139	-
0.5179	4100	0.0073	-
0.5242	4150	0.0097	-
0.5305	4200	0.0075	-
0.5368	4250	0.0032	-
0.5431	4300	0.0107	-
0.5495	4350	0.0146	-
0.5558	4400	0.0162	-
0.5621	4450	0.0068	-
0.5684	4500	0.0054	-
0.5747	4550	0.0178	-
0.5810	4600	0.0081	-
0.5873	4650	0.0086	-
0.5937	4700	0.0015	-
0.6000	4750	0.0093	-
0.6063	4800	0.0121	-
0.6126	4850	0.0039	-
0.6189	4900	0.0059	-
0.6252	4950	0.0041	-
0.6316	5000	0.0084	-
0.6379	5050	0.0113	-
0.6442	5100	0.0082	-
0.6505	5150	0.0039	-
0.6568	5200	0.0129	-
0.6631	5250	0.0029	-
0.6694	5300	0.0062	-
0.6758	5350	0.0129	-
0.6821	5400	0.0052	-
0.6884	5450	0.0125	-
0.6947	5500	0.0053	-
0.7010	5550	0.0061	-
0.7073	5600	0.0063	-
0.7137	5650	0.0061	-
0.7200	5700	0.0063	-
0.7263	5750	0.0041	-
0.7326	5800	0.0006	-
0.7389	5850	0.0077	-
0.7452	5900	0.0167	-
0.7515	5950	0.01	-
0.7579	6000	0.0029	-
0.7642	6050	0.0048	-
0.7705	6100	0.0134	-
0.7768	6150	0.0095	-
0.7831	6200	0.0055	-
0.7894	6250	0.0046	-
0.7958	6300	0.0036	-
0.8021	6350	0.0063	-
0.8084	6400	0.0015	-
0.8147	6450	0.0044	-
0.8210	6500	0.0083	-
0.8273	6550	0.0028	-
0.8336	6600	0.0057	-
0.8400	6650	0.001	-
0.8463	6700	0.0159	-
0.8526	6750	0.0139	-
0.8589	6800	0.0006	-
0.8652	6850	0.0085	-
0.8715	6900	0.0108	-
0.8779	6950	0.0101	-
0.8842	7000	0.0077	-
0.8905	7050	0.006	-
0.8968	7100	0.0086	-
0.9031	7150	0.0036	-
0.9094	7200	0.0001	-
0.9158	7250	0.0145	-
0.9221	7300	0.0007	-
0.9284	7350	0.0119	-
0.9347	7400	0.0027	-
0.9410	7450	0.015	-
0.9473	7500	0.0005	-
0.9536	7550	0.0076	-
0.9600	7600	0.0014	-
0.9663	7650	0.0029	-
0.9726	7700	0.0068	-
0.9789	7750	0.0011	-
0.9852	7800	0.001	-
0.9915	7850	0.0085	-
0.9979	7900	0.0015	-
1.0042	7950	0.0074	-
1.0105	8000	0.0003	-
1.0168	8050	0.0018	-
1.0231	8100	0.0087	-
1.0294	8150	0.0106	-
1.0357	8200	0.0013	-
1.0421	8250	0.0036	-
1.0484	8300	0.0007	-
1.0547	8350	0.0064	-
1.0610	8400	0.0041	-
1.0673	8450	0.009	-
1.0736	8500	0.0055	-
1.0800	8550	0.0101	-
1.0863	8600	0.0025	-
1.0926	8650	0.0162	-
1.0989	8700	0.0002	-
1.1052	8750	0.0079	-
1.1115	8800	0.0087	-
1.1178	8850	0.0009	-
1.1242	8900	0.0058	-
1.1305	8950	0.0039	-
1.1368	9000	0.0003	-
1.1431	9050	0.0028	-
1.1494	9100	0.0032	-
1.1557	9150	0.0075	-
1.1621	9200	0.0113	-
1.1684	9250	0.001	-
1.1747	9300	0.0079	-
1.1810	9350	0.0019	-
1.1873	9400	0.007	-
1.1936	9450	0.0007	-
1.1999	9500	0.0068	-
1.2063	9550	0.0023	-
1.2126	9600	0.0046	-
1.2189	9650	0.0042	-
1.2252	9700	0.0003	-
1.2315	9750	0.0018	-
1.2378	9800	0.0015	-
1.2442	9850	0.0055	-
1.2505	9900	0.0042	-
1.2568	9950	0.0009	-
1.2631	10000	0.0003	-
1.2694	10050	0.0022	-
1.2757	10100	0.0071	-
1.2821	10150	0.0009	-
1.2884	10200	0.0086	-
1.2947	10250	0.0031	-
1.3010	10300	0.0027	-
1.3073	10350	0.0002	-
1.3136	10400	0.0038	-
1.3199	10450	0.0003	-
1.3263	10500	0.0039	-
1.3326	10550	0.003	-
1.3389	10600	0.0132	-
1.3452	10650	0.0057	-
1.3515	10700	0.0004	-
1.3578	10750	0.0003	-
1.3642	10800	0.003	-
1.3705	10850	0.0001	-
1.3768	10900	0.0005	-
1.3831	10950	0.0021	-
1.3894	11000	0.0009	-
1.3957	11050	0.0002	-
1.4020	11100	0.0002	-
1.4084	11150	0.006	-
1.4147	11200	0.0027	-
1.4210	11250	0.0011	-
1.4273	11300	0.0003	-
1.4336	11350	0.0017	-
1.4399	11400	0.0033	-
1.4463	11450	0.0001	-
1.4526	11500	0.0031	-
1.4589	11550	0.0004	-
1.4652	11600	0.0039	-
1.4715	11650	0.0014	-
1.4778	11700	0.0005	-
1.4841	11750	0.0021	-
1.4905	11800	0.004	-
1.4968	11850	0.0051	-
1.5031	11900	0.0081	-
1.5094	11950	0.0044	-
1.5157	12000	0.0043	-
1.5220	12050	0.0033	-
1.5284	12100	0.0017	-
1.5347	12150	0.0035	-
1.5410	12200	0.0061	-
1.5473	12250	0.0074	-
1.5536	12300	0.0027	-
1.5599	12350	0.0054	-
1.5662	12400	0.0028	-
1.5726	12450	0.0003	-
1.5789	12500	0.0028	-
1.5852	12550	0.0083	-
1.5915	12600	0.0068	-
1.5978	12650	0.0009	-
1.6041	12700	0.0003	-
1.6105	12750	0.0022	-
1.6168	12800	0.0002	-
1.6231	12850	0.0013	-
1.6294	12900	0.0002	-
1.6357	12950	0.0048	-
1.6420	13000	0.0036	-
1.6484	13050	0.0006	-
1.6547	13100	0.0004	-
1.6610	13150	0.0001	-
1.6673	13200	0.0032	-
1.6736	13250	0.0032	-
1.6799	13300	0.0102	-
1.6862	13350	0.0049	-
1.6926	13400	0.0014	-
1.6989	13450	0.0048	-
1.7052	13500	0.0038	-
1.7115	13550	0.0016	-
1.7178	13600	0.0001	-
1.7241	13650	0.0067	-
1.7305	13700	0.0031	-
1.7368	13750	0.0039	-
1.7431	13800	0.0004	-
1.7494	13850	0.004	-
1.7557	13900	0.004	-
1.7620	13950	0.0066	-
1.7683	14000	0.0009	-
1.7747	14050	0.0042	-
1.7810	14100	0.0048	-
1.7873	14150	0.0036	-
1.7936	14200	0.0044	-
1.7999	14250	0.0015	-
1.8062	14300	0.0086	-
1.8126	14350	0.0003	-
1.8189	14400	0.0002	-
1.8252	14450	0.0001	-
1.8315	14500	0.0058	-
1.8378	14550	0.0062	-
1.8441	14600	0.0001	-
1.8504	14650	0.0001	-
1.8568	14700	0.002	-
1.8631	14750	0.007	-
1.8694	14800	0.0037	-
1.8757	14850	0.0001	-
1.8820	14900	0.0111	-
1.8883	14950	0.0068	-
1.8947	15000	0.003	-
1.9010	15050	0.0003	-
1.9073	15100	0.0003	-
1.9136	15150	0.0077	-
1.9199	15200	0.0009	-
1.9262	15250	0.0012	-
1.9326	15300	0.0002	-
1.9389	15350	0.0062	-
1.9452	15400	0.0002	-
1.9515	15450	0.0027	-
1.9578	15500	0.0016	-
1.9641	15550	0.0006	-
1.9704	15600	0.0013	-
1.9768	15650	0.0002	-
1.9831	15700	0.0002	-
1.9894	15750	0.004	-
1.9957	15800	0.0035	-
2.0020	15850	0.0019	-
2.0083	15900	0.0046	-
2.0147	15950	0.0048	-
2.0210	16000	0.0003	-
2.0273	16050	0.0002	-
2.0336	16100	0.0001	-
2.0399	16150	0.0001	-
2.0462	16200	0.0009	-
2.0525	16250	0.0001	-
2.0589	16300	0.0002	-
2.0652	16350	0.0026	-
2.0715	16400	0.0036	-
2.0778	16450	0.0015	-
2.0841	16500	0.0007	-
2.0904	16550	0.0028	-
2.0968	16600	0.0004	-
2.1031	16650	0.0049	-
2.1094	16700	0.0008	-
2.1157	16750	0.0026	-
2.1220	16800	0.0022	-
2.1283	16850	0.0081	-
2.1346	16900	0.0014	-
2.1410	16950	0.0025	-
2.1473	17000	0.0001	-
2.1536	17050	0.004	-
2.1599	17100	0.001	-
2.1662	17150	0.0003	-
2.1725	17200	0.0002	-
2.1789	17250	0.0001	-
2.1852	17300	0.0014	-
2.1915	17350	0.0018	-
2.1978	17400	0.0054	-
2.2041	17450	0.0002	-
2.2104	17500	0.0001	-
2.2167	17550	0.002	-
2.2231	17600	0.0006	-
2.2294	17650	0.0167	-
2.2357	17700	0.0003	-
2.2420	17750	0.0004	-
2.2483	17800	0.0061	-
2.2546	17850	0.0061	-
2.2610	17900	0.0002	-
2.2673	17950	0.0028	-
2.2736	18000	0.0001	-
2.2799	18050	0.0001	-
2.2862	18100	0.0012	-
2.2925	18150	0.0004	-
2.2989	18200	0.0007	-
2.3052	18250	0.0001	-
2.3115	18300	0.0016	-
2.3178	18350	0.0004	-
2.3241	18400	0.0004	-
2.3304	18450	0.004	-
2.3367	18500	0.0011	-
2.3431	18550	0.0037	-
2.3494	18600	0.013	-
2.3557	18650	0.0069	-
2.3620	18700	0.0009	-
2.3683	18750	0.002	-
2.3746	18800	0.0004	-
2.3810	18850	0.0001	-
2.3873	18900	0.0006	-
2.3936	18950	0.0003	-
2.3999	19000	0.007	-
2.4062	19050	0.0014	-
2.4125	19100	0.0047	-
2.4188	19150	0.0012	-
2.4252	19200	0.0039	-
2.4315	19250	0.0002	-
2.4378	19300	0.0015	-
2.4441	19350	0.0002	-
2.4504	19400	0.0021	-
2.4567	19450	0.0023	-
2.4631	19500	0.0001	-
2.4694	19550	0.0029	-
2.4757	19600	0.0003	-
2.4820	19650	0.0003	-
2.4883	19700	0.0056	-
2.4946	19750	0.0017	-
2.5009	19800	0.0001	-
2.5073	19850	0.0037	-
2.5136	19900	0.003	-
2.5199	19950	0.0042	-
2.5262	20000	0.0001	-
2.5325	20050	0.0019	-
2.5388	20100	0.0012	-
2.5452	20150	0.0005	-
2.5515	20200	0.0005	-
2.5578	20250	0.0037	-
2.5641	20300	0.0002	-
2.5704	20350	0.0019	-
2.5767	20400	0.0026	-
2.5830	20450	0.0033	-
2.5894	20500	0.0028	-
2.5957	20550	0.0004	-
2.6020	20600	0.0002	-
2.6083	20650	0.0076	-
2.6146	20700	0.0036	-
2.6209	20750	0.0006	-
2.6273	20800	0.0053	-
2.6336	20850	0.007	-
2.6399	20900	0.0	-
2.6462	20950	0.0001	-
2.6525	21000	0.0015	-
2.6588	21050	0.0004	-
2.6652	21100	0.0004	-
2.6715	21150	0.0	-
2.6778	21200	0.0008	-
2.6841	21250	0.0019	-
2.6904	21300	0.0039	-
2.6967	21350	0.0043	-
2.7030	21400	0.0001	-
2.7094	21450	0.0001	-
2.7157	21500	0.0004	-
2.7220	21550	0.0001	-
2.7283	21600	0.0026	-
2.7346	21650	0.0008	-
2.7409	21700	0.0006	-
2.7473	21750	0.0012	-
2.7536	21800	0.0008	-
2.7599	21850	0.0003	-
2.7662	21900	0.0014	-
2.7725	21950	0.0002	-
2.7788	22000	0.0002	-
2.7851	22050	0.0001	-
2.7915	22100	0.0001	-
2.7978	22150	0.0	-
2.8041	22200	0.009	-
2.8104	22250	0.0024	-
2.8167	22300	0.0019	-
2.8230	22350	0.0001	-
2.8294	22400	0.0003	-
2.8357	22450	0.0046	-
2.8420	22500	0.0043	-
2.8483	22550	0.0002	-
2.8546	22600	0.0002	-
2.8609	22650	0.001	-
2.8672	22700	0.0004	-
2.8736	22750	0.0046	-
2.8799	22800	0.0038	-
2.8862	22850	0.0039	-
2.8925	22900	0.0016	-
2.8988	22950	0.001	-
2.9051	23000	0.0	-
2.9115	23050	0.0079	-
2.9178	23100	0.0	-
2.9241	23150	0.0021	-
2.9304	23200	0.0004	-
2.9367	23250	0.0004	-
2.9430	23300	0.0001	-
2.9493	23350	0.0077	-
2.9557	23400	0.0066	-
2.9620	23450	0.0	-
2.9683	23500	0.0018	-
2.9746	23550	0.0039	-
2.9809	23600	0.0107	-
2.9872	23650	0.0065	-
2.9936	23700	0.0035	-
2.9999	23750	0.0005	-
3.0062	23800	0.0002	-
3.0125	23850	0.0002	-
3.0188	23900	0.0007	-
3.0251	23950	0.0023	-
3.0315	24000	0.0005	-
3.0378	24050	0.0039	-
3.0441	24100	0.0001	-
3.0504	24150	0.0027	-
3.0567	24200	0.0027	-
3.0630	24250	0.0001	-
3.0693	24300	0.0003	-
3.0757	24350	0.0063	-
3.0820	24400	0.0009	-
3.0883	24450	0.0056	-
3.0946	24500	0.0026	-
3.1009	24550	0.0001	-
3.1072	24600	0.0002	-
3.1136	24650	0.0003	-
3.1199	24700	0.0001	-
3.1262	24750	0.0008	-
3.1325	24800	0.0001	-
3.1388	24850	0.0	-
3.1451	24900	0.0002	-
3.1514	24950	0.0031	-
3.1578	25000	0.0018	-
3.1641	25050	0.0	-
3.1704	25100	0.0016	-
3.1767	25150	0.0008	-
3.1830	25200	0.0004	-
3.1893	25250	0.004	-
3.1957	25300	0.0002	-
3.2020	25350	0.003	-
3.2083	25400	0.0001	-
3.2146	25450	0.004	-
3.2209	25500	0.0008	-
3.2272	25550	0.0001	-
3.2335	25600	0.0027	-
3.2399	25650	0.0007	-
3.2462	25700	0.0028	-
3.2525	25750	0.0012	-
3.2588	25800	0.0022	-
3.2651	25850	0.0009	-
3.2714	25900	0.0033	-
3.2778	25950	0.0002	-
3.2841	26000	0.0008	-
3.2904	26050	0.0003	-
3.2967	26100	0.0044	-
3.3030	26150	0.0002	-
3.3093	26200	0.0043	-
3.3156	26250	0.0005	-
3.3220	26300	0.003	-
3.3283	26350	0.0005	-
3.3346	26400	0.0015	-
3.3409	26450	0.0	-
3.3472	26500	0.0003	-
3.3535	26550	0.0079	-
3.3599	26600	0.0001	-
3.3662	26650	0.0067	-
3.3725	26700	0.0037	-
3.3788	26750	0.0001	-
3.3851	26800	0.0008	-
3.3914	26850	0.0004	-
3.3978	26900	0.0	-
3.4041	26950	0.0001	-
3.4104	27000	0.0001	-
3.4167	27050	0.0039	-
3.4230	27100	0.0007	-
3.4293	27150	0.0001	-
3.4356	27200	0.0	-
3.4420	27250	0.0004	-
3.4483	27300	0.0001	-
3.4546	27350	0.0029	-
3.4609	27400	0.0002	-
3.4672	27450	0.0001	-
3.4735	27500	0.0008	-
3.4799	27550	0.002	-
3.4862	27600	0.0045	-
3.4925	27650	0.0058	-
3.4988	27700	0.0001	-
3.5051	27750	0.0	-
3.5114	27800	0.0	-
3.5177	27850	0.0003	-
3.5241	27900	0.0001	-
3.5304	27950	0.0	-
3.5367	28000	0.0063	-
3.5430	28050	0.0	-
3.5493	28100	0.0009	-
3.5556	28150	0.0044	-
3.5620	28200	0.0008	-
3.5683	28250	0.01	-
3.5746	28300	0.0	-
3.5809	28350	0.0008	-
3.5872	28400	0.0007	-
3.5935	28450	0.0032	-
3.5998	28500	0.0005	-
3.6062	28550	0.0004	-
3.6125	28600	0.0002	-
3.6188	28650	0.0012	-
3.6251	28700	0.0	-
3.6314	28750	0.0002	-
3.6377	28800	0.0014	-
3.6441	28850	0.0044	-
3.6504	28900	0.0	-
3.6567	28950	0.0011	-
3.6630	29000	0.001	-
3.6693	29050	0.0023	-
3.6756	29100	0.0001	-
3.6820	29150	0.0039	-
3.6883	29200	0.0003	-
3.6946	29250	0.0	-
3.7009	29300	0.0	-
3.7072	29350	0.0002	-
3.7135	29400	0.0	-
3.7198	29450	0.0023	-
3.7262	29500	0.0002	-
3.7325	29550	0.001	-
3.7388	29600	0.0016	-
3.7451	29650	0.0001	-
3.7514	29700	0.0002	-
3.7577	29750	0.0001	-
3.7641	29800	0.0	-
3.7704	29850	0.0	-
3.7767	29900	0.0023	-
3.7830	29950	0.0033	-
3.7893	30000	0.0004	-
3.7956	30050	0.0001	-
3.8019	30100	0.0	-
3.8083	30150	0.0009	-
3.8146	30200	0.003	-
3.8209	30250	0.0002	-
3.8272	30300	0.0003	-
3.8335	30350	0.0085	-
3.8398	30400	0.0025	-
3.8462	30450	0.0018	-
3.8525	30500	0.0003	-
3.8588	30550	0.004	-
3.8651	30600	0.0041	-
3.8714	30650	0.0022	-
3.8777	30700	0.0001	-
3.8840	30750	0.0002	-
3.8904	30800	0.0	-
3.8967	30850	0.0	-
3.9030	30900	0.0025	-
3.9093	30950	0.0	-
3.9156	31000	0.0004	-
3.9219	31050	0.0038	-
3.9283	31100	0.0019	-
3.9346	31150	0.0016	-
3.9409	31200	0.0	-
3.9472	31250	0.0005	-
3.9535	31300	0.0047	-
3.9598	31350	0.0001	-
3.9661	31400	0.0	-
3.9725	31450	0.0	-
3.9788	31500	0.0028	-
3.9851	31550	0.0027	-
3.9914	31600	0.0005	-
3.9977	31650	0.0041	-
4.0040	31700	0.0022	-
4.0104	31750	0.0003	-
4.0167	31800	0.0011	-
4.0230	31850	0.0001	-
4.0293	31900	0.0	-
4.0356	31950	0.0004	-
4.0419	32000	0.0	-
4.0483	32050	0.0	-
4.0546	32100	0.0	-
4.0609	32150	0.0	-
4.0672	32200	0.0021	-
4.0735	32250	0.0042	-
4.0798	32300	0.0003	-
4.0861	32350	0.0001	-
4.0925	32400	0.0002	-
4.0988	32450	0.004	-
4.1051	32500	0.0041	-
4.1114	32550	0.0003	-
4.1177	32600	0.0025	-
4.1240	32650	0.0029	-
4.1304	32700	0.0004	-
4.1367	32750	0.0049	-
4.1430	32800	0.0002	-
4.1493	32850	0.0047	-
4.1556	32900	0.0017	-
4.1619	32950	0.0	-
4.1682	33000	0.0003	-
4.1746	33050	0.0026	-
4.1809	33100	0.0037	-
4.1872	33150	0.0003	-
4.1935	33200	0.0005	-
4.1998	33250	0.0	-
4.2061	33300	0.0001	-
4.2125	33350	0.0016	-
4.2188	33400	0.0002	-
4.2251	33450	0.004	-
4.2314	33500	0.0	-
4.2377	33550	0.0	-
4.2440	33600	0.0004	-
4.2503	33650	0.0005	-
4.2567	33700	0.0002	-
4.2630	33750	0.0006	-
4.2693	33800	0.0018	-
4.2756	33850	0.0	-
4.2819	33900	0.0001	-
4.2882	33950	0.0006	-
4.2946	34000	0.0002	-
4.3009	34050	0.0	-
4.3072	34100	0.0	-
4.3135	34150	0.0042	-
4.3198	34200	0.0042	-
4.3261	34250	0.0	-
4.3324	34300	0.0009	-
4.3388	34350	0.0	-
4.3451	34400	0.0	-
4.3514	34450	0.0	-
4.3577	34500	0.0	-
4.3640	34550	0.0001	-
4.3703	34600	0.0	-
4.3767	34650	0.0041	-
4.3830	34700	0.0001	-
4.3893	34750	0.0001	-
4.3956	34800	0.0028	-
4.4019	34850	0.0001	-
4.4082	34900	0.0024	-
4.4146	34950	0.0	-
4.4209	35000	0.0003	-
4.4272	35050	0.0	-
4.4335	35100	0.0039	-
4.4398	35150	0.0055	-
4.4461	35200	0.0068	-
4.4524	35250	0.0041	-
4.4588	35300	0.0	-
4.4651	35350	0.0001	-
4.4714	35400	0.0013	-
4.4777	35450	0.0001	-
4.4840	35500	0.0	-
4.4903	35550	0.0	-
4.4967	35600	0.0025	-
4.5030	35650	0.0007	-
4.5093	35700	0.0	-
4.5156	35750	0.0	-
4.5219	35800	0.0002	-
4.5282	35850	0.0001	-
4.5345	35900	0.0001	-
4.5409	35950	0.0	-
4.5472	36000	0.0	-
4.5535	36050	0.0	-
4.5598	36100	0.0049	-
4.5661	36150	0.004	-
4.5724	36200	0.0002	-
4.5788	36250	0.001	-
4.5851	36300	0.0039	-
4.5914	36350	0.004	-
4.5977	36400	0.0	-
4.6040	36450	0.0	-
4.6103	36500	0.0001	-
4.6166	36550	0.0006	-
4.6230	36600	0.0003	-
4.6293	36650	0.0027	-
4.6356	36700	0.0044	-
4.6419	36750	0.004	-
4.6482	36800	0.0043	-
4.6545	36850	0.0022	-
4.6609	36900	0.0001	-
4.6672	36950	0.0011	-
4.6735	37000	0.0001	-
4.6798	37050	0.0	-
4.6861	37100	0.0002	-
4.6924	37150	0.0025	-
4.6987	37200	0.0047	-
4.7051	37250	0.0001	-
4.7114	37300	0.0	-
4.7177	37350	0.0026	-
4.7240	37400	0.0002	-
4.7303	37450	0.0039	-
4.7366	37500	0.0001	-
4.7430	37550	0.0011	-
4.7493	37600	0.0	-
4.7556	37650	0.0	-
4.7619	37700	0.0012	-
4.7682	37750	0.0	-
4.7745	37800	0.0024	-
4.7809	37850	0.0	-
4.7872	37900	0.0003	-
4.7935	37950	0.003	-
4.7998	38000	0.0041	-
4.8061	38050	0.0001	-
4.8124	38100	0.0	-
4.8187	38150	0.0041	-
4.8251	38200	0.0002	-
4.8314	38250	0.0	-
4.8377	38300	0.0042	-
4.8440	38350	0.004	-
4.8503	38400	0.0	-
4.8566	38450	0.0001	-
4.8630	38500	0.0001	-
4.8693	38550	0.0	-
4.8756	38600	0.0	-
4.8819	38650	0.0002	-
4.8882	38700	0.0	-
4.8945	38750	0.0002	-
4.9008	38800	0.0009	-
4.9072	38850	0.0017	-
4.9135	38900	0.0001	-
4.9198	38950	0.0029	-
4.9261	39000	0.0039	-
4.9324	39050	0.0004	-
4.9387	39100	0.0011	-
4.9451	39150	0.0009	-
4.9514	39200	0.0	-
4.9577	39250	0.0	-
4.9640	39300	0.0001	-
4.9703	39350	0.0003	-
4.9766	39400	0.0004	-
4.9829	39450	0.0007	-
4.9893	39500	0.0028	-
4.9956	39550	0.0	-
5.0019	39600	0.0075	-
5.0082	39650	0.0	-
5.0145	39700	0.0035	-
5.0208	39750	0.0001	-
5.0272	39800	0.0012	-
5.0335	39850	0.0008	-
5.0398	39900	0.0066	-
5.0461	39950	0.0025	-
5.0524	40000	0.0003	-
5.0587	40050	0.0	-
5.0650	40100	0.0003	-
5.0714	40150	0.0	-
5.0777	40200	0.0003	-
5.0840	40250	0.0002	-
5.0903	40300	0.0061	-
5.0966	40350	0.0003	-
5.1029	40400	0.0006	-
5.1093	40450	0.0	-
5.1156	40500	0.0002	-
5.1219	40550	0.0004	-
5.1282	40600	0.0053	-
5.1345	40650	0.0002	-
5.1408	40700	0.0003	-
5.1472	40750	0.0006	-
5.1535	40800	0.0	-
5.1598	40850	0.0005	-
5.1661	40900	0.0002	-
5.1724	40950	0.0024	-
5.1787	41000	0.0	-
5.1850	41050	0.0	-
5.1914	41100	0.0008	-
5.1977	41150	0.0	-
5.2040	41200	0.0028	-
5.2103	41250	0.0001	-
5.2166	41300	0.0018	-
5.2229	41350	0.001	-
5.2293	41400	0.0	-
5.2356	41450	0.0	-
5.2419	41500	0.002	-
5.2482	41550	0.0017	-
5.2545	41600	0.0	-
5.2608	41650	0.0	-
5.2671	41700	0.0	-
5.2735	41750	0.0003	-
5.2798	41800	0.0	-
5.2861	41850	0.0057	-
5.2924	41900	0.0019	-
5.2987	41950	0.0	-
5.3050	42000	0.0002	-
5.3114	42050	0.0028	-
5.3177	42100	0.0002	-
5.3240	42150	0.0001	-
5.3303	42200	0.0	-
5.3366	42250	0.0039	-
5.3429	42300	0.0	-
5.3492	42350	0.0002	-
5.3556	42400	0.0056	-
5.3619	42450	0.0007	-
5.3682	42500	0.0	-
5.3745	42550	0.0028	-
5.3808	42600	0.0036	-
5.3871	42650	0.0	-
5.3935	42700	0.0	-
5.3998	42750	0.0064	-
5.4061	42800	0.0	-
5.4124	42850	0.0002	-
5.4187	42900	0.0	-
5.4250	42950	0.0	-
5.4314	43000	0.0008	-
5.4377	43050	0.0	-
5.4440	43100	0.0004	-
5.4503	43150	0.0004	-
5.4566	43200	0.0033	-
5.4629	43250	0.0	-
5.4692	43300	0.0	-
5.4756	43350	0.0013	-
5.4819	43400	0.0003	-
5.4882	43450	0.0017	-
5.4945	43500	0.0029	-
5.5008	43550	0.0003	-
5.5071	43600	0.0	-
5.5135	43650	0.0	-
5.5198	43700	0.0	-
5.5261	43750	0.0054	-
5.5324	43800	0.0017	-
5.5387	43850	0.0039	-
5.5450	43900	0.0003	-
5.5513	43950	0.0	-
5.5577	44000	0.0001	-
5.5640	44050	0.0003	-
5.5703	44100	0.0002	-
5.5766	44150	0.0003	-
5.5829	44200	0.0028	-
5.5892	44250	0.0	-
5.5956	44300	0.0021	-
5.6019	44350	0.0	-
5.6082	44400	0.0	-
5.6145	44450	0.001	-
5.6208	44500	0.0	-
5.6271	44550	0.0001	-
5.6334	44600	0.0001	-
5.6398	44650	0.0007	-
5.6461	44700	0.0012	-
5.6524	44750	0.0001	-
5.6587	44800	0.0033	-
5.6650	44850	0.0	-
5.6713	44900	0.0001	-
5.6777	44950	0.0006	-
5.6840	45000	0.0	-
5.6903	45050	0.0001	-
5.6966	45100	0.0055	-
5.7029	45150	0.0018	-
5.7092	45200	0.0004	-
5.7155	45250	0.0001	-
5.7219	45300	0.0005	-
5.7282	45350	0.0001	-
5.7345	45400	0.0	-
5.7408	45450	0.0026	-
5.7471	45500	0.0035	-
5.7534	45550	0.0001	-
5.7598	45600	0.0004	-
5.7661	45650	0.0	-
5.7724	45700	0.0	-
5.7787	45750	0.0001	-
5.7850	45800	0.0	-
5.7913	45850	0.0004	-
5.7977	45900	0.0	-
5.8040	45950	0.0	-
5.8103	46000	0.0058	-
5.8166	46050	0.0022	-
5.8229	46100	0.0	-
5.8292	46150	0.0005	-
5.8355	46200	0.0022	-
5.8419	46250	0.0049	-
5.8482	46300	0.0	-
5.8545	46350	0.0	-
5.8608	46400	0.0	-
5.8671	46450	0.0	-
5.8734	46500	0.0021	-
5.8798	46550	0.0004	-
5.8861	46600	0.0	-
5.8924	46650	0.0022	-
5.8987	46700	0.0002	-
5.9050	46750	0.0	-
5.9113	46800	0.0017	-
5.9176	46850	0.0002	-
5.9240	46900	0.0	-
5.9303	46950	0.0019	-
5.9366	47000	0.0	-
5.9429	47050	0.0	-
5.9492	47100	0.0021	-
5.9555	47150	0.0017	-
5.9619	47200	0.0046	-
5.9682	47250	0.0001	-
5.9745	47300	0.0003	-
5.9808	47350	0.0014	-
5.9871	47400	0.0033	-
5.9934	47450	0.0009	-
5.9997	47500	0.0001	-
6.0061	47550	0.0027	-
6.0124	47600	0.0	-
6.0187	47650	0.0025	-
6.0250	47700	0.0003	-
6.0313	47750	0.0004	-
6.0376	47800	0.0014	-
6.0440	47850	0.0039	-
6.0503	47900	0.0003	-
6.0566	47950	0.0003	-
6.0629	48000	0.0007	-
6.0692	48050	0.0	-
6.0755	48100	0.0003	-
6.0818	48150	0.0	-
6.0882	48200	0.0	-
6.0945	48250	0.0002	-
6.1008	48300	0.0003	-
6.1071	48350	0.0	-
6.1134	48400	0.0037	-
6.1197	48450	0.0007	-
6.1261	48500	0.0001	-
6.1324	48550	0.0	-
6.1387	48600	0.0003	-
6.1450	48650	0.0006	-
6.1513	48700	0.0003	-
6.1576	48750	0.0005	-
6.1640	48800	0.0003	-
6.1703	48850	0.0	-
6.1766	48900	0.0	-
6.1829	48950	0.0	-
6.1892	49000	0.0004	-
6.1955	49050	0.0	-
6.2018	49100	0.0003	-
6.2082	49150	0.0	-
6.2145	49200	0.0	-
6.2208	49250	0.0	-
6.2271	49300	0.0001	-
6.2334	49350	0.0003	-
6.2397	49400	0.0002	-
6.2461	49450	0.0	-
6.2524	49500	0.0004	-
6.2587	49550	0.0003	-
6.2650	49600	0.0001	-
6.2713	49650	0.0001	-
6.2776	49700	0.0001	-
6.2839	49750	0.0046	-
6.2903	49800	0.0	-
6.2966	49850	0.0	-
6.3029	49900	0.0031	-
6.3092	49950	0.0023	-
6.3155	50000	0.0	-
6.3218	50050	0.0023	-
6.3282	50100	0.0	-
6.3345	50150	0.0	-
6.3408	50200	0.0001	-
6.3471	50250	0.0	-
6.3534	50300	0.0	-
6.3597	50350	0.0	-
6.3660	50400	0.0004	-
6.3724	50450	0.0002	-
6.3787	50500	0.0001	-
6.3850	50550	0.0004	-
6.3913	50600	0.0035	-
6.3976	50650	0.0	-
6.4039	50700	0.004	-
6.4103	50750	0.0002	-
6.4166	50800	0.0008	-
6.4229	50850	0.0	-
6.4292	50900	0.0035	-
6.4355	50950	0.0	-
6.4418	51000	0.0	-
6.4481	51050	0.0048	-
6.4545	51100	0.0	-
6.4608	51150	0.0003	-
6.4671	51200	0.0039	-
6.4734	51250	0.0055	-
6.4797	51300	0.0	-
6.4860	51350	0.0039	-
6.4924	51400	0.0001	-
6.4987	51450	0.0056	-
6.5050	51500	0.0027	-
6.5113	51550	0.0002	-
6.5176	51600	0.0054	-
6.5239	51650	0.0019	-
6.5303	51700	0.0	-
6.5366	51750	0.0004	-
6.5429	51800	0.0	-
6.5492	51850	0.0001	-
6.5555	51900	0.0003	-
6.5618	51950	0.0006	-
6.5681	52000	0.0003	-
6.5745	52050	0.0003	-
6.5808	52100	0.0003	-
6.5871	52150	0.0002	-
6.5934	52200	0.0038	-
6.5997	52250	0.0	-
6.6060	52300	0.0003	-
6.6124	52350	0.0	-
6.6187	52400	0.0036	-
6.6250	52450	0.0003	-
6.6313	52500	0.0025	-
6.6376	52550	0.0	-
6.6439	52600	0.0006	-
6.6502	52650	0.0003	-
6.6566	52700	0.0	-
6.6629	52750	0.0001	-
6.6692	52800	0.0027	-
6.6755	52850	0.0039	-
6.6818	52900	0.0006	-
6.6881	52950	0.0	-
6.6945	53000	0.0034	-
6.7008	53050	0.0002	-
6.7071	53100	0.0	-
6.7134	53150	0.0001	-
6.7197	53200	0.0007	-
6.7260	53250	0.0039	-
6.7323	53300	0.0	-
6.7387	53350	0.0	-
6.7450	53400	0.0032	-
6.7513	53450	0.0	-
6.7576	53500	0.0	-
6.7639	53550	0.0034	-
6.7702	53600	0.0001	-
6.7766	53650	0.0003	-
6.7829	53700	0.0	-
6.7892	53750	0.0	-
6.7955	53800	0.0043	-
6.8018	53850	0.0	-
6.8081	53900	0.0	-
6.8144	53950	0.0	-
6.8208	54000	0.0	-
6.8271	54050	0.0	-
6.8334	54100	0.0026	-
6.8397	54150	0.0	-
6.8460	54200	0.0024	-
6.8523	54250	0.0001	-
6.8587	54300	0.0	-
6.8650	54350	0.0004	-
6.8713	54400	0.0	-
6.8776	54450	0.0	-
6.8839	54500	0.0039	-
6.8902	54550	0.0	-
6.8966	54600	0.0023	-
6.9029	54650	0.0008	-
6.9092	54700	0.0011	-
6.9155	54750	0.0001	-
6.9218	54800	0.0	-
6.9281	54850	0.002	-
6.9344	54900	0.0	-
6.9408	54950	0.0013	-
6.9471	55000	0.0012	-
6.9534	55050	0.001	-
6.9597	55100	0.0064	-
6.9660	55150	0.0003	-
6.9723	55200	0.0044	-
6.9787	55250	0.0	-
6.9850	55300	0.0002	-
6.9913	55350	0.0029	-
6.9976	55400	0.0	-
7.0039	55450	0.0003	-
7.0102	55500	0.0001	-
7.0165	55550	0.0	-
7.0229	55600	0.0	-
7.0292	55650	0.0004	-
7.0355	55700	0.0	-
7.0418	55750	0.0021	-
7.0481	55800	0.0	-
7.0544	55850	0.0024	-
7.0608	55900	0.002	-
7.0671	55950	0.001	-
7.0734	56000	0.0003	-
7.0797	56050	0.0003	-
7.0860	56100	0.0	-
7.0923	56150	0.0	-
7.0986	56200	0.0	-
7.1050	56250	0.0011	-
7.1113	56300	0.0	-
7.1176	56350	0.0038	-
7.1239	56400	0.0	-
7.1302	56450	0.0067	-
7.1365	56500	0.0025	-
7.1429	56550	0.0002	-
7.1492	56600	0.0004	-
7.1555	56650	0.0	-
7.1618	56700	0.0011	-
7.1681	56750	0.0026	-
7.1744	56800	0.0	-
7.1808	56850	0.0039	-
7.1871	56900	0.0023	-
7.1934	56950	0.0078	-
7.1997	57000	0.0	-
7.2060	57050	0.0001	-
7.2123	57100	0.0	-
7.2186	57150	0.0001	-
7.2250	57200	0.0	-
7.2313	57250	0.0016	-
7.2376	57300	0.0	-
7.2439	57350	0.0022	-
7.2502	57400	0.0005	-
7.2565	57450	0.0006	-
7.2629	57500	0.0003	-
7.2692	57550	0.0001	-
7.2755	57600	0.0	-
7.2818	57650	0.0003	-
7.2881	57700	0.0	-
7.2944	57750	0.0005	-
7.3007	57800	0.0038	-
7.3071	57850	0.0	-
7.3134	57900	0.0002	-
7.3197	57950	0.0	-
7.3260	58000	0.0003	-
7.3323	58050	0.0025	-
7.3386	58100	0.0003	-
7.3450	58150	0.0	-
7.3513	58200	0.0012	-
7.3576	58250	0.0007	-
7.3639	58300	0.0024	-
7.3702	58350	0.0002	-
7.3765	58400	0.0041	-
7.3828	58450	0.0	-
7.3892	58500	0.0006	-
7.3955	58550	0.0003	-
7.4018	58600	0.0003	-
7.4081	58650	0.0	-
7.4144	58700	0.0063	-
7.4207	58750	0.0022	-
7.4271	58800	0.0	-
7.4334	58850	0.0	-
7.4397	58900	0.0	-
7.4460	58950	0.0	-
7.4523	59000	0.0042	-
7.4586	59050	0.0019	-
7.4649	59100	0.0003	-
7.4713	59150	0.0	-
7.4776	59200	0.0057	-
7.4839	59250	0.0	-
7.4902	59300	0.0039	-
7.4965	59350	0.0042	-
7.5028	59400	0.0	-
7.5092	59450	0.0002	-
7.5155	59500	0.0002	-
7.5218	59550	0.0002	-
7.5281	59600	0.0	-
7.5344	59650	0.0002	-
7.5407	59700	0.0003	-
7.5471	59750	0.002	-
7.5534	59800	0.0	-
7.5597	59850	0.0003	-
7.5660	59900	0.0031	-
7.5723	59950	0.0001	-
7.5786	60000	0.0044	-
7.5849	60050	0.0	-
7.5913	60100	0.0003	-
7.5976	60150	0.0036	-
7.6039	60200	0.0025	-
7.6102	60250	0.0028	-
7.6165	60300	0.0001	-
7.6228	60350	0.0006	-
7.6292	60400	0.0004	-
7.6355	60450	0.0	-
7.6418	60500	0.0001	-
7.6481	60550	0.0	-
7.6544	60600	0.0	-
7.6607	60650	0.0	-
7.6670	60700	0.0024	-
7.6734	60750	0.0	-
7.6797	60800	0.0002	-
7.6860	60850	0.0	-
7.6923	60900	0.0	-
7.6986	60950	0.0002	-
7.7049	61000	0.0004	-
7.7113	61050	0.0004	-
7.7176	61100	0.0	-
7.7239	61150	0.0004	-
7.7302	61200	0.0	-
7.7365	61250	0.0021	-
7.7428	61300	0.0002	-
7.7491	61350	0.0028	-
7.7555	61400	0.0001	-
7.7618	61450	0.0013	-
7.7681	61500	0.0	-
7.7744	61550	0.0003	-
7.7807	61600	0.0001	-
7.7870	61650	0.0	-
7.7934	61700	0.0	-
7.7997	61750	0.0	-
7.8060	61800	0.003	-
7.8123	61850	0.0021	-
7.8186	61900	0.0027	-
7.8249	61950	0.0	-
7.8312	62000	0.0015	-
7.8376	62050	0.0	-
7.8439	62100	0.0044	-
7.8502	62150	0.0005	-
7.8565	62200	0.0016	-
7.8628	62250	0.0	-
7.8691	62300	0.0	-
7.8755	62350	0.0045	-
7.8818	62400	0.0	-
7.8881	62450	0.0	-
7.8944	62500	0.0039	-
7.9007	62550	0.0001	-
7.9070	62600	0.0003	-
7.9134	62650	0.0	-
7.9197	62700	0.0003	-
7.9260	62750	0.0	-
7.9323	62800	0.0034	-
7.9386	62850	0.0006	-
7.9449	62900	0.0	-
7.9512	62950	0.0	-
7.9576	63000	0.0	-
7.9639	63050	0.0	-
7.9702	63100	0.0	-
7.9765	63150	0.0016	-
7.9828	63200	0.0	-
7.9891	63250	0.0	-
7.9955	63300	0.0	-
8.0018	63350	0.0004	-
8.0081	63400	0.0	-
8.0144	63450	0.0007	-
8.0207	63500	0.0	-
8.0270	63550	0.0016	-
8.0333	63600	0.0	-
8.0397	63650	0.001	-
8.0460	63700	0.0065	-
8.0523	63750	0.0038	-
8.0586	63800	0.0006	-
8.0649	63850	0.0004	-
8.0712	63900	0.0	-
8.0776	63950	0.0	-
8.0839	64000	0.0	-
8.0902	64050	0.0002	-
8.0965	64100	0.0011	-
8.1028	64150	0.0	-
8.1091	64200	0.0043	-
8.1154	64250	0.0	-
8.1218	64300	0.0	-
8.1281	64350	0.0002	-
8.1344	64400	0.0	-
8.1407	64450	0.0001	-
8.1470	64500	0.0019	-
8.1533	64550	0.0014	-
8.1597	64600	0.0	-
8.1660	64650	0.0	-
8.1723	64700	0.0027	-
8.1786	64750	0.0	-
8.1849	64800	0.0002	-
8.1912	64850	0.0039	-
8.1975	64900	0.0035	-
8.2039	64950	0.0006	-
8.2102	65000	0.0	-
8.2165	65050	0.0003	-
8.2228	65100	0.0003	-
8.2291	65150	0.0002	-
8.2354	65200	0.0042	-
8.2418	65250	0.0	-
8.2481	65300	0.0	-
8.2544	65350	0.0004	-
8.2607	65400	0.0008	-
8.2670	65450	0.0	-
8.2733	65500	0.0028	-
8.2797	65550	0.0045	-
8.2860	65600	0.0021	-
8.2923	65650	0.0	-
8.2986	65700	0.0	-
8.3049	65750	0.0006	-
8.3112	65800	0.0011	-
8.3175	65850	0.0003	-
8.3239	65900	0.0	-
8.3302	65950	0.0021	-
8.3365	66000	0.0039	-
8.3428	66050	0.0	-
8.3491	66100	0.0	-
8.3554	66150	0.0023	-
8.3618	66200	0.0021	-
8.3681	66250	0.0002	-
8.3744	66300	0.0003	-
8.3807	66350	0.0029	-
8.3870	66400	0.0	-
8.3933	66450	0.0	-
8.3996	66500	0.0002	-
8.4060	66550	0.0	-
8.4123	66600	0.0	-
8.4186	66650	0.0	-
8.4249	66700	0.0001	-
8.4312	66750	0.0002	-
8.4375	66800	0.0	-
8.4439	66850	0.0	-
8.4502	66900	0.0003	-
8.4565	66950	0.0024	-
8.4628	67000	0.0009	-
8.4691	67050	0.0	-
8.4754	67100	0.0	-
8.4817	67150	0.0	-
8.4881	67200	0.0	-
8.4944	67250	0.0	-
8.5007	67300	0.0	-
8.5070	67350	0.0002	-
8.5133	67400	0.0022	-
8.5196	67450	0.0039	-
8.5260	67500	0.0	-
8.5323	67550	0.0	-
8.5386	67600	0.0	-
8.5449	67650	0.0	-
8.5512	67700	0.0033	-
8.5575	67750	0.0001	-
8.5638	67800	0.0	-
8.5702	67850	0.0002	-
8.5765	67900	0.0	-
8.5828	67950	0.0002	-
8.5891	68000	0.0009	-
8.5954	68050	0.0	-
8.6017	68100	0.0	-
8.6081	68150	0.0039	-
8.6144	68200	0.0002	-
8.6207	68250	0.0027	-
8.6270	68300	0.0015	-
8.6333	68350	0.0	-
8.6396	68400	0.0	-
8.6460	68450	0.0	-
8.6523	68500	0.0005	-
8.6586	68550	0.0	-
8.6649	68600	0.0003	-
8.6712	68650	0.0	-
8.6775	68700	0.0042	-
8.6838	68750	0.0026	-
8.6902	68800	0.0	-
8.6965	68850	0.0002	-
8.7028	68900	0.0002	-
8.7091	68950	0.0	-
8.7154	69000	0.0018	-
8.7217	69050	0.0001	-
8.7281	69100	0.0	-
8.7344	69150	0.0001	-
8.7407	69200	0.0	-
8.7470	69250	0.0	-
8.7533	69300	0.0	-
8.7596	69350	0.0	-
8.7659	69400	0.0	-
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Framework Versions

Python: 3.10.12
SetFit: 1.1.0.dev0
Sentence Transformers: 3.1.1
Transformers: 4.43.3
PyTorch: 2.4.1+cu121
Datasets: 2.20.0
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}
}