Model: eraldoluis/faquad-bert-base-portuguese-cased
Author: eraldoluis
Pipeline: question-answering
Library: transformers
Tags: transformers, pytorch, safetensors, bert, question-answering, extractive-qa, pt, dataset:eraldoluis/faquad, base_model:neuralmind/bert-base-portuguese-cased, base_model:finetune:neuralmind/bert-base-portuguese-cased, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: neuralmind/bert-base-portuguese-cased
Card metadata: language: pt
license: apache-2.0
library_name: transformers
tags: extractive-qa
datasets: eraldoluis/faquad
metrics: squad
base_model: neuralmind/bert-base-portuguese-cased
model-index: name: faquad-bert-base-portuguese-cased
results: task: type: extractive-qa
name: Extractive Question-Answering
dataset: name: FaQuAD
type: eraldoluis/faquad
split: eval
metrics: type: f1
value: 83.0912959832023
name: Eval F1 score (squad metric)
verified: no, type: exact_match
value: 74.53169347209082
name: Eval ExactMatch score (squad metric)
verified: no
Likes: 5 | All-time downloads: 12782
Created: 2022-09-07 11:03:37