Model: YuYeWon/wemeet-resume-univ-cal
Author: YuYeWon
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, xlm-roberta, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:12528, loss:CosineSimilarityLoss, arxiv:1908.10084, base_model:sentence-transformers/paraphrase-multilingual-mpnet-base-v2, base_model:finetune:sentence-transformers/paraphrase-multilingual-mpnet-base-v2, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/paraphrase-multilingual-mpnet-base-v2
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:12528, loss:CosineSimilarityLoss
base_model: sentence-transformers/paraphrase-multilingual-mpnet-base-v2
widget: source_sentence: AI, SW, Data Science, 통계학, 수학, 산업공학, 경영학 관련 전공
sentences: 동물자원학과, 식품영양과학부, 기계자동차공학과, source_sentence: 상경계열, 무역학전공(우대)
sentences: 전자정보통신공학전공, 바이오시스템공학과, 동물자원학부, source_sentence: 전문학사 이상 산업보건, 안전, 인강공학, 물리치료, 작업치료, 운동처방 관련 학과 우대 석사학위 이상 소지자 우대
sentences: 물리교육과, 국제학부, 서울과학기술대, source_sentence: 경영학 등 상경계열 / 화학공학, 신소재공학, 고분자공학
sentences: 애니메이션학과, 언어학과, 경제금융학부, source_sentence: • 석사 학위 소지자 화학공학, 고분자공학, 화학, 재료공학 관련 전공
sentences: 경영학과, 고분자공학과, 정보시스템학과
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: pearson_cosine, spearman_cosine
model-index: name: SentenceTransformer based on sentence-transformers/paraphrase-multilingual-mpnet-base-v2
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: validation
type: validation
metrics: type: pearson_cosine
value: 0.8580470027944657
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.4554415196341985
name: Spearman Cosine
verified: no
Likes: 0 | All-time downloads: 23
Created: 2025-12-02 08:13:30