Model: LeviLima/eureca-finetuned-all-MiniLM-L6-V2
Author: LeviLima
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:77, loss:MultipleNegativesRankingLoss, pt, arxiv:1908.10084, arxiv:1705.00652, base_model:sentence-transformers/all-MiniLM-L6-v2, base_model:finetune:sentence-transformers/all-MiniLM-L6-v2, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/all-MiniLM-L6-v2
Card metadata: language: pt
license: apache-2.0
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:77, loss:MultipleNegativesRankingLoss
base_model: sentence-transformers/all-MiniLM-L6-v2
widget: source_sentence: FMCC2
sentences: FUND DE MATEMÁTICA P/ C.DA COMPUTAÇÃO II, ÁLGEBRA LINEAR I, PROGRAMAÇÃO II, source_sentence: loac
sentences: PROJETO DE REDES DE COMPUTADORES, INTELIGÊNCIA ARTIFICIAL, LAB.DE ORG.E ARQUITETURA DE COMPUTADORES, source_sentence: paradigmas de linguagens de programação
sentences: PARADIGMAS DE LING. DE PROGRAMAÇÃO, LABORATÓRIO DE PROGRAMAÇÃO I, PROGRAMAÇÃO FUNCIONAL, source_sentence: PSOFT
sentences: PROJETO DE SOFTWARE, PROJETO EM COMPUTAÇÃO I, PROCESSAMENTO DE LINGUAGEM NATURAL, source_sentence: paradigmas linguagens
sentences: PROGRAMAÇÃO II, PROCESSAMENTO DE LINGUAGEM NATURAL, PARADIGMAS DE LING. DE PROGRAMAÇÃO
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy
model-index: name: Eureca fine-tuned pre-treined by all-MiniLM-L6-v2.
results: task: type: triplet
name: Triplet
dataset: name: eureca finetuned all MiniLM L6 V2 triplet
type: eureca-finetuned-all-MiniLM-L6-V2_triplet
metrics: type: cosine_accuracy
value: 0.4935064911842346
name: Cosine Accuracy
verified: no
Likes: 0 | All-time downloads: 213
Created: 2025-06-16 21:10:26