Model: cnmoro/pylate-ibm-granite-107m-multilingual
Author: cnmoro
Pipeline: sentence-similarity
Library: PyLate
Tags: PyLate, safetensors, xlm-roberta, ColBERT, sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:25863649, loss:Contrastive, pt, dataset:cnmoro/AllTripletsMsMarco-PTBR, arxiv:1908.10084, base_model:ibm-granite/granite-embedding-107m-multilingual, base_model:finetune:ibm-granite/granite-embedding-107m-multilingual, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: ibm-granite/granite-embedding-107m-multilingual
Card metadata: language: pt
tags: ColBERT, PyLate, sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:25863649, loss:Contrastive
base_model: ibm-granite/granite-embedding-107m-multilingual
datasets: cnmoro/AllTripletsMsMarco-PTBR
pipeline_tag: sentence-similarity
library_name: PyLate
metrics: accuracy
model-index: name: PyLate model based on ibm-granite/granite-embedding-107m-multilingual
results: task: type: col-berttriplet
name: Col BERTTriplet
dataset: name: Unknown
type: unknown
metrics: type: accuracy
value: 0.8173714280128479
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 62
Created: 2025-06-12 16:44:57