File size: 31,371 Bytes
a1eab01 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 |
---
base_model: klue/roberta-base
library_name: setfit
metrics:
- accuracy
pipeline_tag: text-classification
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
- text: 트위저맨 포인트 트위저 Pretty in Pink (#M)홈>화장품/미용>뷰티소품>페이스소품>기타페이스소품 Naverstore > 화장품/미용
> 뷰티소품 > 페이스소품 > 기타페이스소품
- text: 에스쁘아 에어 퍼프 5개입 소프트 터치 에어퍼프 LotteOn > 뷰티 > 뷰티기기/소품 > 메이크업소품 > 퍼프 LotteOn >
뷰티 > 뷰티기기/소품 > 메이크업소품 > 브러쉬
- text: 더툴랩 더스타일 래쉬 - 리얼(TSL001) x 1개 리얼(TSL001) × 1개 LotteOn > 뷰티 > 뷰티기기/소품 > 아이/브로우소품
> 속눈썹관리 LotteOn > 뷰티 > 뷰티기기/소품 > 아이/브로우소품 > 속눈썹관리
- text: 미용재료/셀프파마/롯드/헤어롤/미용용품/파지/귀마개/염색볼/집게핀/샤워캡/헤어밴드 41.다용도 공병 2개 홈>펌,염색,미용소도구;홈>파마용품;(#M)홈>파마
소도구>파마용품 Naverstore > 화장품/미용 > 뷰티소품 > 헤어소품 > 기타헤어소품
- text: 에스쁘아 비글로우 에어 퍼프 5개입(22AD) (#M)홈>화장품/미용>뷰티소품>페이스소품>기타페이스소품 Naverstore > 화장품/미용
> 뷰티소품 > 페이스소품 > 기타페이스소품
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: accuracy
value: 0.9419292632686155
name: Accuracy
---
# 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:** 8 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>'[JAJU/자주] 원형 리필 공병 통 110ml ssg > 뷰티 > 미용기기/소품 > 거울/용기/기타소품;ssg > 뷰티 > 헤어/바디/미용/구강 > 미용기기 ssg > 뷰티 > 미용기기/소품 > 거울/용기/기타소품'</li><li>'세맘스 아기랑 + 엄마랑 파우치 세트 핑크스마일_엄마(가로 11.5cm x 세로 13cm), 아기(가로 8cm x 세로 10.5cm) (#M)쿠팡 홈>여행용품>여행파우치>화장품파우치 Coupang > 뷰티 > 뷰티소품 > 용기/거울/기타소품 > 파우치'</li><li>'라인 프린팅 파스텔컬러 롤온공병 10ml 6종 세트 흰색(뚜껑) × 1세트 (#M)쿠팡 홈>뷰티>뷰티소품>용기/거울/기타소품>기타소품 Coupang > 뷰티 > 뷰티소품 > 용기/거울/기타소품 > 기타소품'</li></ul> |
| 3 | <ul><li>'트위저맨 슬랜트 트위저 족집게 베이비 핑크 × 9개 (#M)쿠팡 홈>뷰티>뷰티소품>아이소품>족집게/샤프너 Coupang > 뷰티 > 뷰티소품 > 아이소품 > 족집게/샤프너'</li><li>'트위저맨 미니 슬랜트 트위저 로즈골드 265161 LotteOn > 뷰티 > 메이크업 > 베이스메이크업 > 파운데이션 LotteOn > 뷰티 > 메이크업 > 베이스메이크업 > 파운데이션'</li><li>'트위저맨 클래식 슬랜트 트위저 베이비핑크, 1개 LotteOn > 뷰티 > 뷰티기기/소품 > 메이크업소품 > 브러쉬 LotteOn > 뷰티 > 뷰티기기/소품 > 메이크업소품 > 브러쉬'</li></ul> |
| 6 | <ul><li>'천일 매직 롯드 10P 1호~6호 뿌리볼륨롯드 파마롯드 매직롯드 5호_1개 홈>화장품/미용>뷰티소품>헤어소품>헤어롤;홈>전체상품;(#M)홈>롯드 Naverstore > 화장품/미용 > 뷰티소품 > 헤어소품 > 헤어롤'</li><li>'다이슨 45mm 35mm 롤브러쉬 대왕롤빗 엉킴방지빗 니켈블랙 (#M)홈>미용건강 Naverstore > 화장품/미용 > 뷰티소품 > 헤어소품 > 헤어브러시'</li><li>'프리시전 섀이더 브러쉬 스몰 단품없음 LotteOn > 뷰티 > 뷰티기기 > 액세서리/소모품 LotteOn > 뷰티 > 뷰티기기 > 액세서리/소모품'</li></ul> |
| 0 | <ul><li>'천연 자초 립밤 만들기 키트 diy 향 선택(8개) 사과+에탄올20ml (#M)홈>비누&립밤&세제 만들기>만들기키트 Naverstore > 화장품/미용 > 색조메이크업 > 립케어'</li></ul> |
| 5 | <ul><li>'프로 피니쉬 스폰지 단품없음 LotteOn > 뷰티 > 뷰티기기 > 액세서리/소모품 LotteOn > 뷰티 > 뷰티기기 > 액세서리/소모품'</li><li>'JAJU 사각 면봉_화장 겸용 200P 기타_FR LotteOn > 뷰티 > 뷰티기기/소품 > 위생용품 > 면봉 LotteOn > 뷰티 > 뷰티기기/소품 > 위생용품 > 면봉'</li><li>'mts 롤러 기계 MTS 스탬프 앰플 바르는 도구 니들 빠른흡수 상품선택_2-더마롤러-0.3mm LotteOn > 뷰티 > 뷰티기기/소품 > 피부케어기 > 피부케어기 LotteOn > 뷰티 > 뷰티기기/소품 > 피부케어기 > 피부케어기'</li></ul> |
| 1 | <ul><li>'더툴랩 101B 베이비태스커 파운데이션 베이스 메이크업 브러쉬 쿠션브러쉬 236097 (#M)홈>화장품/미용>뷰티소품>메이크업브러시>브러시세트 Naverstore > 화장품/미용 > 뷰티소품 > 메이크업브러시 > 브러시세트'</li><li>'더툴랩 204 블렌딩 아이섀도우 스몰 총알 브러쉬 (#M)화장품/미용>뷰티소품>페이스소품>코털제거기 AD > Naverstore > 화장품/미용 > 뷰티소품 > 페이스소품 > 코털제거기'</li><li>'더툴랩 브러쉬 231 컨실러 파운데이션 (#M)화장품/미용>뷰티소품>메이크업브러시>페이스브러시 LO > Naverstore > 화장품/미용 > 뷰티소품 > 메이크업브러시 > 페이스브러시'</li></ul> |
| 2 | <ul><li>'요들가운 미용실 LC 커트보 어깨보 컷트보 인쇄가능 15.모델210T커트보_블랙 (#M)홈>가운,유니폼>컷트보 Naverstore > 화장품/미용 > 뷰티소품 > 헤어소품 > 기타헤어소품'</li><li>'요들가운 미용실 LC 커트보 어깨보 컷트보 인쇄가능 12.듀스포체크 커트보_퍼플 (#M)홈>가운,유니폼>컷트보 Naverstore > 화장품/미용 > 뷰티소품 > 헤어소품 > 기타헤어소품'</li><li>'[백화점][JPClarisse] 장폴클라리쎄 거미 왕대 집게핀 JPSA0001 진베이지 (#M)GSSHOP>뷰티>뷰티소품>헤어소품 GSSHOP > 뷰티 > 뷰티소품 > 헤어소품 > 헤어집게'</li></ul> |
| 4 | <ul><li>'레터링 쇄골 현아 타투 스티커 30장 마스크 판박이 3타투세트30장-수채화 LotteOn > 뷰티 > 마스크/팩 > 기타패치 LotteOn > 뷰티 > 마스크/팩 > 기타패치'</li><li>'산리오 캐릭터 타투 스티커 어린이 문신 마스크판박이 5.헬로키티(2매입) 홈>패션잡화🛍>잡화🐱\u200d💻;(#M)홈>캐릭터🙂>산리오 Naverstore > 화장품/미용 > 뷰티소품 > 타투'</li><li>'문신 타투 스티커 바디 형 쇄골 반팔 레터링 흉터 커버__개성 다이소 헤나 다목적 노출 패션 미용 다용도 추천 패셔니스타 여름 A type 타투스티커 30종세트 (#M)SSG.COM/헤어/바디/슬리밍/푸드/기타용품/타투 ssg > 뷰티 > 헤어/바디 > 슬리밍/푸드/기타용품 > 타투'</li></ul> |
## Evaluation
### Metrics
| Label | Accuracy |
|:--------|:---------|
| **all** | 0.9419 |
## 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_top_bt6")
# Run inference
preds = model("에스쁘아 에어 퍼프 5개입 소프트 터치 에어퍼프 LotteOn > 뷰티 > 뷰티기기/소품 > 메이크업소품 > 퍼프 LotteOn > 뷰티 > 뷰티기기/소품 > 메이크업소품 > 브러쉬")
```
<!--
### 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 | 12 | 22.0313 | 72 |
| Label | Training Sample Count |
|:------|:----------------------|
| 0 | 1 |
| 1 | 50 |
| 2 | 50 |
| 3 | 50 |
| 4 | 50 |
| 5 | 50 |
| 6 | 50 |
| 7 | 50 |
### 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 |
|:-------:|:-----:|:-------------:|:---------------:|
| 0.0018 | 1 | 0.4099 | - |
| 0.0911 | 50 | 0.3973 | - |
| 0.1821 | 100 | 0.3456 | - |
| 0.2732 | 150 | 0.2947 | - |
| 0.3643 | 200 | 0.2369 | - |
| 0.4554 | 250 | 0.1705 | - |
| 0.5464 | 300 | 0.107 | - |
| 0.6375 | 350 | 0.0696 | - |
| 0.7286 | 400 | 0.0494 | - |
| 0.8197 | 450 | 0.0488 | - |
| 0.9107 | 500 | 0.0307 | - |
| 1.0018 | 550 | 0.0259 | - |
| 1.0929 | 600 | 0.0247 | - |
| 1.1840 | 650 | 0.022 | - |
| 1.2750 | 700 | 0.0215 | - |
| 1.3661 | 750 | 0.005 | - |
| 1.4572 | 800 | 0.0007 | - |
| 1.5483 | 850 | 0.0004 | - |
| 1.6393 | 900 | 0.0002 | - |
| 1.7304 | 950 | 0.0001 | - |
| 1.8215 | 1000 | 0.0001 | - |
| 1.9126 | 1050 | 0.0001 | - |
| 2.0036 | 1100 | 0.0001 | - |
| 2.0947 | 1150 | 0.0001 | - |
| 2.1858 | 1200 | 0.0001 | - |
| 2.2769 | 1250 | 0.0 | - |
| 2.3679 | 1300 | 0.0 | - |
| 2.4590 | 1350 | 0.0 | - |
| 2.5501 | 1400 | 0.0 | - |
| 2.6412 | 1450 | 0.0 | - |
| 2.7322 | 1500 | 0.0 | - |
| 2.8233 | 1550 | 0.0 | - |
| 2.9144 | 1600 | 0.0 | - |
| 3.0055 | 1650 | 0.0 | - |
| 3.0965 | 1700 | 0.0 | - |
| 3.1876 | 1750 | 0.0 | - |
| 3.2787 | 1800 | 0.0 | - |
| 3.3698 | 1850 | 0.0 | - |
| 3.4608 | 1900 | 0.0 | - |
| 3.5519 | 1950 | 0.0 | - |
| 3.6430 | 2000 | 0.0 | - |
| 3.7341 | 2050 | 0.0 | - |
| 3.8251 | 2100 | 0.0 | - |
| 3.9162 | 2150 | 0.0 | - |
| 4.0073 | 2200 | 0.0 | - |
| 4.0984 | 2250 | 0.0 | - |
| 4.1894 | 2300 | 0.0 | - |
| 4.2805 | 2350 | 0.0 | - |
| 4.3716 | 2400 | 0.0 | - |
| 4.4627 | 2450 | 0.0 | - |
| 4.5537 | 2500 | 0.0 | - |
| 4.6448 | 2550 | 0.0 | - |
| 4.7359 | 2600 | 0.0 | - |
| 4.8270 | 2650 | 0.0 | - |
| 4.9180 | 2700 | 0.0 | - |
| 5.0091 | 2750 | 0.0 | - |
| 5.1002 | 2800 | 0.0 | - |
| 5.1913 | 2850 | 0.0 | - |
| 5.2823 | 2900 | 0.0 | - |
| 5.3734 | 2950 | 0.0 | - |
| 5.4645 | 3000 | 0.0 | - |
| 5.5556 | 3050 | 0.0 | - |
| 5.6466 | 3100 | 0.0 | - |
| 5.7377 | 3150 | 0.0 | - |
| 5.8288 | 3200 | 0.0 | - |
| 5.9199 | 3250 | 0.0 | - |
| 6.0109 | 3300 | 0.0 | - |
| 6.1020 | 3350 | 0.0 | - |
| 6.1931 | 3400 | 0.0 | - |
| 6.2842 | 3450 | 0.0 | - |
| 6.3752 | 3500 | 0.0 | - |
| 6.4663 | 3550 | 0.0 | - |
| 6.5574 | 3600 | 0.0 | - |
| 6.6485 | 3650 | 0.0 | - |
| 6.7395 | 3700 | 0.0 | - |
| 6.8306 | 3750 | 0.0 | - |
| 6.9217 | 3800 | 0.0 | - |
| 7.0128 | 3850 | 0.0 | - |
| 7.1038 | 3900 | 0.0 | - |
| 7.1949 | 3950 | 0.0 | - |
| 7.2860 | 4000 | 0.0 | - |
| 7.3770 | 4050 | 0.0 | - |
| 7.4681 | 4100 | 0.0 | - |
| 7.5592 | 4150 | 0.0 | - |
| 7.6503 | 4200 | 0.0 | - |
| 7.7413 | 4250 | 0.0 | - |
| 7.8324 | 4300 | 0.0 | - |
| 7.9235 | 4350 | 0.0 | - |
| 8.0146 | 4400 | 0.0 | - |
| 8.1056 | 4450 | 0.0 | - |
| 8.1967 | 4500 | 0.0 | - |
| 8.2878 | 4550 | 0.0 | - |
| 8.3789 | 4600 | 0.0 | - |
| 8.4699 | 4650 | 0.0 | - |
| 8.5610 | 4700 | 0.0 | - |
| 8.6521 | 4750 | 0.0 | - |
| 8.7432 | 4800 | 0.0 | - |
| 8.8342 | 4850 | 0.0 | - |
| 8.9253 | 4900 | 0.0 | - |
| 9.0164 | 4950 | 0.0 | - |
| 9.1075 | 5000 | 0.0 | - |
| 9.1985 | 5050 | 0.0 | - |
| 9.2896 | 5100 | 0.0 | - |
| 9.3807 | 5150 | 0.0 | - |
| 9.4718 | 5200 | 0.0 | - |
| 9.5628 | 5250 | 0.0 | - |
| 9.6539 | 5300 | 0.0 | - |
| 9.7450 | 5350 | 0.0 | - |
| 9.8361 | 5400 | 0.0 | - |
| 9.9271 | 5450 | 0.0 | - |
| 10.0182 | 5500 | 0.0 | - |
| 10.1093 | 5550 | 0.0 | - |
| 10.2004 | 5600 | 0.0 | - |
| 10.2914 | 5650 | 0.0 | - |
| 10.3825 | 5700 | 0.0 | - |
| 10.4736 | 5750 | 0.0 | - |
| 10.5647 | 5800 | 0.0 | - |
| 10.6557 | 5850 | 0.0 | - |
| 10.7468 | 5900 | 0.0 | - |
| 10.8379 | 5950 | 0.0 | - |
| 10.9290 | 6000 | 0.0 | - |
| 11.0200 | 6050 | 0.0 | - |
| 11.1111 | 6100 | 0.0 | - |
| 11.2022 | 6150 | 0.0 | - |
| 11.2933 | 6200 | 0.0 | - |
| 11.3843 | 6250 | 0.0 | - |
| 11.4754 | 6300 | 0.0 | - |
| 11.5665 | 6350 | 0.0 | - |
| 11.6576 | 6400 | 0.0 | - |
| 11.7486 | 6450 | 0.0 | - |
| 11.8397 | 6500 | 0.0 | - |
| 11.9308 | 6550 | 0.0 | - |
| 12.0219 | 6600 | 0.0 | - |
| 12.1129 | 6650 | 0.0 | - |
| 12.2040 | 6700 | 0.0 | - |
| 12.2951 | 6750 | 0.0 | - |
| 12.3862 | 6800 | 0.0 | - |
| 12.4772 | 6850 | 0.0 | - |
| 12.5683 | 6900 | 0.0 | - |
| 12.6594 | 6950 | 0.0 | - |
| 12.7505 | 7000 | 0.0 | - |
| 12.8415 | 7050 | 0.0 | - |
| 12.9326 | 7100 | 0.0 | - |
| 13.0237 | 7150 | 0.0 | - |
| 13.1148 | 7200 | 0.0 | - |
| 13.2058 | 7250 | 0.0 | - |
| 13.2969 | 7300 | 0.0 | - |
| 13.3880 | 7350 | 0.0 | - |
| 13.4791 | 7400 | 0.0 | - |
| 13.5701 | 7450 | 0.0 | - |
| 13.6612 | 7500 | 0.0 | - |
| 13.7523 | 7550 | 0.0 | - |
| 13.8434 | 7600 | 0.0 | - |
| 13.9344 | 7650 | 0.0 | - |
| 14.0255 | 7700 | 0.0 | - |
| 14.1166 | 7750 | 0.0 | - |
| 14.2077 | 7800 | 0.0 | - |
| 14.2987 | 7850 | 0.0 | - |
| 14.3898 | 7900 | 0.0 | - |
| 14.4809 | 7950 | 0.0 | - |
| 14.5719 | 8000 | 0.0 | - |
| 14.6630 | 8050 | 0.0 | - |
| 14.7541 | 8100 | 0.0 | - |
| 14.8452 | 8150 | 0.0 | - |
| 14.9362 | 8200 | 0.0 | - |
| 15.0273 | 8250 | 0.0 | - |
| 15.1184 | 8300 | 0.0 | - |
| 15.2095 | 8350 | 0.0 | - |
| 15.3005 | 8400 | 0.0 | - |
| 15.3916 | 8450 | 0.0 | - |
| 15.4827 | 8500 | 0.0 | - |
| 15.5738 | 8550 | 0.012 | - |
| 15.6648 | 8600 | 0.0012 | - |
| 15.7559 | 8650 | 0.0003 | - |
| 15.8470 | 8700 | 0.0 | - |
| 15.9381 | 8750 | 0.0 | - |
| 16.0291 | 8800 | 0.0 | - |
| 16.1202 | 8850 | 0.0 | - |
| 16.2113 | 8900 | 0.0 | - |
| 16.3024 | 8950 | 0.0 | - |
| 16.3934 | 9000 | 0.0 | - |
| 16.4845 | 9050 | 0.0 | - |
| 16.5756 | 9100 | 0.0 | - |
| 16.6667 | 9150 | 0.0 | - |
| 16.7577 | 9200 | 0.0 | - |
| 16.8488 | 9250 | 0.0 | - |
| 16.9399 | 9300 | 0.0 | - |
| 17.0310 | 9350 | 0.0 | - |
| 17.1220 | 9400 | 0.0 | - |
| 17.2131 | 9450 | 0.0 | - |
| 17.3042 | 9500 | 0.0 | - |
| 17.3953 | 9550 | 0.0 | - |
| 17.4863 | 9600 | 0.0 | - |
| 17.5774 | 9650 | 0.0 | - |
| 17.6685 | 9700 | 0.0 | - |
| 17.7596 | 9750 | 0.0 | - |
| 17.8506 | 9800 | 0.0 | - |
| 17.9417 | 9850 | 0.0 | - |
| 18.0328 | 9900 | 0.0 | - |
| 18.1239 | 9950 | 0.0 | - |
| 18.2149 | 10000 | 0.0 | - |
| 18.3060 | 10050 | 0.0 | - |
| 18.3971 | 10100 | 0.0 | - |
| 18.4882 | 10150 | 0.0 | - |
| 18.5792 | 10200 | 0.0 | - |
| 18.6703 | 10250 | 0.0 | - |
| 18.7614 | 10300 | 0.0 | - |
| 18.8525 | 10350 | 0.0 | - |
| 18.9435 | 10400 | 0.0 | - |
| 19.0346 | 10450 | 0.0 | - |
| 19.1257 | 10500 | 0.0 | - |
| 19.2168 | 10550 | 0.0 | - |
| 19.3078 | 10600 | 0.0 | - |
| 19.3989 | 10650 | 0.0 | - |
| 19.4900 | 10700 | 0.0 | - |
| 19.5811 | 10750 | 0.0 | - |
| 19.6721 | 10800 | 0.0 | - |
| 19.7632 | 10850 | 0.0 | - |
| 19.8543 | 10900 | 0.0 | - |
| 19.9454 | 10950 | 0.0 | - |
| 20.0364 | 11000 | 0.0 | - |
| 20.1275 | 11050 | 0.0 | - |
| 20.2186 | 11100 | 0.0 | - |
| 20.3097 | 11150 | 0.0 | - |
| 20.4007 | 11200 | 0.0 | - |
| 20.4918 | 11250 | 0.0 | - |
| 20.5829 | 11300 | 0.0 | - |
| 20.6740 | 11350 | 0.0 | - |
| 20.7650 | 11400 | 0.0 | - |
| 20.8561 | 11450 | 0.0 | - |
| 20.9472 | 11500 | 0.0 | - |
| 21.0383 | 11550 | 0.0 | - |
| 21.1293 | 11600 | 0.0 | - |
| 21.2204 | 11650 | 0.0 | - |
| 21.3115 | 11700 | 0.0 | - |
| 21.4026 | 11750 | 0.0 | - |
| 21.4936 | 11800 | 0.0 | - |
| 21.5847 | 11850 | 0.0 | - |
| 21.6758 | 11900 | 0.0 | - |
| 21.7668 | 11950 | 0.0 | - |
| 21.8579 | 12000 | 0.0 | - |
| 21.9490 | 12050 | 0.0 | - |
| 22.0401 | 12100 | 0.0 | - |
| 22.1311 | 12150 | 0.0 | - |
| 22.2222 | 12200 | 0.0 | - |
| 22.3133 | 12250 | 0.0 | - |
| 22.4044 | 12300 | 0.0 | - |
| 22.4954 | 12350 | 0.0 | - |
| 22.5865 | 12400 | 0.0 | - |
| 22.6776 | 12450 | 0.0 | - |
| 22.7687 | 12500 | 0.0 | - |
| 22.8597 | 12550 | 0.0 | - |
| 22.9508 | 12600 | 0.0 | - |
| 23.0419 | 12650 | 0.0 | - |
| 23.1330 | 12700 | 0.0 | - |
| 23.2240 | 12750 | 0.0 | - |
| 23.3151 | 12800 | 0.0 | - |
| 23.4062 | 12850 | 0.0 | - |
| 23.4973 | 12900 | 0.0 | - |
| 23.5883 | 12950 | 0.0 | - |
| 23.6794 | 13000 | 0.0 | - |
| 23.7705 | 13050 | 0.0 | - |
| 23.8616 | 13100 | 0.0 | - |
| 23.9526 | 13150 | 0.0 | - |
| 24.0437 | 13200 | 0.0 | - |
| 24.1348 | 13250 | 0.0 | - |
| 24.2259 | 13300 | 0.0 | - |
| 24.3169 | 13350 | 0.0 | - |
| 24.4080 | 13400 | 0.0 | - |
| 24.4991 | 13450 | 0.0 | - |
| 24.5902 | 13500 | 0.0 | - |
| 24.6812 | 13550 | 0.0 | - |
| 24.7723 | 13600 | 0.0 | - |
| 24.8634 | 13650 | 0.0 | - |
| 24.9545 | 13700 | 0.0 | - |
| 25.0455 | 13750 | 0.0 | - |
| 25.1366 | 13800 | 0.0 | - |
| 25.2277 | 13850 | 0.0 | - |
| 25.3188 | 13900 | 0.0 | - |
| 25.4098 | 13950 | 0.0 | - |
| 25.5009 | 14000 | 0.0 | - |
| 25.5920 | 14050 | 0.0 | - |
| 25.6831 | 14100 | 0.0 | - |
| 25.7741 | 14150 | 0.0 | - |
| 25.8652 | 14200 | 0.0 | - |
| 25.9563 | 14250 | 0.0 | - |
| 26.0474 | 14300 | 0.0 | - |
| 26.1384 | 14350 | 0.0 | - |
| 26.2295 | 14400 | 0.0 | - |
| 26.3206 | 14450 | 0.0 | - |
| 26.4117 | 14500 | 0.0 | - |
| 26.5027 | 14550 | 0.0 | - |
| 26.5938 | 14600 | 0.0 | - |
| 26.6849 | 14650 | 0.0 | - |
| 26.7760 | 14700 | 0.0 | - |
| 26.8670 | 14750 | 0.0 | - |
| 26.9581 | 14800 | 0.0 | - |
| 27.0492 | 14850 | 0.0 | - |
| 27.1403 | 14900 | 0.0 | - |
| 27.2313 | 14950 | 0.0 | - |
| 27.3224 | 15000 | 0.0 | - |
| 27.4135 | 15050 | 0.0 | - |
| 27.5046 | 15100 | 0.0 | - |
| 27.5956 | 15150 | 0.0 | - |
| 27.6867 | 15200 | 0.0 | - |
| 27.7778 | 15250 | 0.0 | - |
| 27.8689 | 15300 | 0.0 | - |
| 27.9599 | 15350 | 0.0 | - |
| 28.0510 | 15400 | 0.0 | - |
| 28.1421 | 15450 | 0.0 | - |
| 28.2332 | 15500 | 0.0 | - |
| 28.3242 | 15550 | 0.0 | - |
| 28.4153 | 15600 | 0.0 | - |
| 28.5064 | 15650 | 0.0 | - |
| 28.5974 | 15700 | 0.0 | - |
| 28.6885 | 15750 | 0.0 | - |
| 28.7796 | 15800 | 0.0 | - |
| 28.8707 | 15850 | 0.0 | - |
| 28.9617 | 15900 | 0.0 | - |
| 29.0528 | 15950 | 0.0 | - |
| 29.1439 | 16000 | 0.0 | - |
| 29.2350 | 16050 | 0.0 | - |
| 29.3260 | 16100 | 0.0 | - |
| 29.4171 | 16150 | 0.0 | - |
| 29.5082 | 16200 | 0.0 | - |
| 29.5993 | 16250 | 0.0 | - |
| 29.6903 | 16300 | 0.0 | - |
| 29.7814 | 16350 | 0.0 | - |
| 29.8725 | 16400 | 0.0 | - |
| 29.9636 | 16450 | 0.0 | - |
### 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
```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}
}
```
<!--
## Glossary
*Clearly define terms in order to be accessible across audiences.*
-->
<!--
## Model Card Authors
*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
-->
<!--
## Model Card Contact
*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
--> |