Model: blemond/RAG_press_multilingual_e5_large
Author: blemond
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, xlm-roberta, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:76932, loss:MultipleNegativesRankingLoss, arxiv:1908.10084, arxiv:1705.00652, base_model:intfloat/multilingual-e5-large, base_model:finetune:intfloat/multilingual-e5-large, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: intfloat/multilingual-e5-large
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:76932, loss:MultipleNegativesRankingLoss
base_model: intfloat/multilingual-e5-large
widget: source_sentence: query: ATM Adaptation Layer 2의 약어는 무엇인가요?
sentences: passage: 2 Transmit 2 Receive (기술), passage: Alternating Current (개념), passage: AAL2 (기술), source_sentence: query: AC의 접근 클래스 C0부터 C15까지의 기능은 무엇인가요?
sentences: passage: Access Class (C0 to C15) (개념), passage: 3 Dimension-Through Silicon Via (기술), passage: ACAP (Conceptual), source_sentence: query: What is the abbreviation for Alarm Agent Handling Block?
sentences: passage: ATM Connection establishment/release Control Block (기술), passage: AAGHB (Technical), passage: Account Card Calling (활용), source_sentence: query: ABPL의 ATM 기본 속도 물리 계층 장치는 어떻게 구성되어 있나요?
sentences: passage: ATM Base Rate Physical Layer Unit (기술), passage: 3A (개념), passage: 5GTF (Conceptual), source_sentence: query: How does the triple encryption process of 3-DES enhance security?
sentences: passage: 5th Generation Technical Forum (Conceptual), passage: Triple Data Encryption Standard (Technical), passage: ABCDEF (활용)
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100
model-index: name: SentenceTransformer based on intfloat/multilingual-e5-large
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: e5 eval real
type: e5-eval-real
metrics: type: cosine_accuracy@1
value: 0.8686666666666667
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.969
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.9832
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9922
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.8686666666666667
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.323
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.19664000000000004
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09922000000000002
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.8686666666666667
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.969
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.9832
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9922
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.9376619313817377
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.9193550000000039
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.9197550584627825
name: Cosine Map@100
verified: no
Likes: 0 | All-time downloads: 373
Created: 2025-09-09 10:53:16