SetFit with mini1013/master_domain

This is a SetFit model that can be used for Text Classification. This SetFit model uses mini1013/master_domain 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: mini1013/master_domain
Classification head: a LogisticRegression instance
Maximum Sequence Length: 512 tokens
Number of Classes: 6 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
2.0	'디스커버리익스페디션 여성 제임스쿡 자켓 바람막이 DWWJ34024 스포츠/레저>등산>등산의류>재킷' '아이더 버서틀 여성 슬림 구스다운 자켓 여자경량패딩 DWP22541 스포츠/레저>등산>등산의류>점퍼' '블랙야크 남여공용 YAK ON-H 하이로프트 플리스 1BYVSW1006 스포츠/레저>등산>등산의류>조끼'
0.0	'클라이밍 클라이밍초크 등반 카라비너 모양 안전 배낭레인커버 하강기 스포츠/레저>등산>기타등산장비' '17 노스페이스 반다나 페이즐리 80 S NA5BQ02D 스포츠/레저>등산>기타등산장비' '암벽등반 등강기 실내 클라이밍 도르래 장비 하강기 스포츠/레저>등산>기타등산장비'
5.0	'클라이밍화 초보자 입문용 남성 여성 암벽화 신발 스포츠/레저>등산>등산화' 'HOKA 남성 카하 2 로우 고어텍스 - 1123190-BBLC 스포츠/레저>등산>등산화' '코오롱스포츠 TRAIL 남녀공용 트레일러닝 슈즈 TL-1 FE4TX24010YEX 스포츠/레저>등산>등산화'
4.0	'히키스 카라비너 가방걸이 S 스포츠/레저>등산>등산장비>카라비너' '살로몬 Salomon 트레일 게이터 M 7 5-9 스포츠/레저>등산>등산장비>스패츠' '알로코리아 WM501 스포츠/레저>등산>등산장비>손난로'
3.0	'K2 Safety 메쉬 햇모자 IUS20931 스포츠/레저>등산>등산잡화>모자' 'MILLET 밀레 남성 봄여름 등산 M 간절기 숏장갑 MXTUL004 스포츠/레저>등산>등산잡화>장갑' '살로몬 등산양말 365 크루 FBCSB SO LC2085200 761896 스포츠/레저>등산>등산잡화>양말'
1.0	'노스페이스 브리즈 힙색 NN2HP01 스포츠/레저>등산>등산가방' '아크테릭스 ARC TERYX 맨티스 16 백팩 가방 MANTIS BACKPACK ABOSUX6136BSR 스포츠/레저>등산>등산가방' '블랙야크 BAC 어스유 등산가방 2BYKSX1904 36L 스포츠/레저>등산>등산가방'

Evaluation

Metrics

Label	Accuracy
all	1.0

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_cate_sl8")
# Run inference
preds = model("JQS EIDER 레인코트 DUA23917P1 스포츠/레저>등산>등산의류>재킷")

Training Details

Training Set Metrics

Training set	Min	Median	Max
Word count	3	8.5167	19

Label	Training Sample Count
0.0	70
1.0	70
2.0	70
3.0	70
4.0	70
5.0	70

Training Hyperparameters

batch_size: (256, 256)
num_epochs: (30, 30)
max_steps: -1
sampling_strategy: oversampling
num_iterations: 50
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
0.0120	1	0.4926	-
0.6024	50	0.4841	-
1.2048	100	0.1569	-
1.8072	150	0.0001	-
2.4096	200	0.0	-
3.0120	250	0.0	-
3.6145	300	0.0	-
4.2169	350	0.0	-
4.8193	400	0.0	-
5.4217	450	0.0	-
6.0241	500	0.0	-
6.6265	550	0.0	-
7.2289	600	0.0	-
7.8313	650	0.0	-
8.4337	700	0.0	-
9.0361	750	0.0	-
9.6386	800	0.0	-
10.2410	850	0.0	-
10.8434	900	0.0	-
11.4458	950	0.0	-
12.0482	1000	0.0	-
12.6506	1050	0.0	-
13.2530	1100	0.0	-
13.8554	1150	0.0	-
14.4578	1200	0.0	-
15.0602	1250	0.0	-
15.6627	1300	0.0	-
16.2651	1350	0.0	-
16.8675	1400	0.0	-
17.4699	1450	0.0	-
18.0723	1500	0.0	-
18.6747	1550	0.0	-
19.2771	1600	0.0	-
19.8795	1650	0.0	-
20.4819	1700	0.0	-
21.0843	1750	0.0	-
21.6867	1800	0.0	-
22.2892	1850	0.0	-
22.8916	1900	0.0	-
23.4940	1950	0.0	-
24.0964	2000	0.0	-
24.6988	2050	0.0	-
25.3012	2100	0.0	-
25.9036	2150	0.0	-
26.5060	2200	0.0	-
27.1084	2250	0.0	-
27.7108	2300	0.0	-
28.3133	2350	0.0	-
28.9157	2400	0.0	-
29.5181	2450	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

@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}
}

mini1013
/

master_cate_sl8