Model: hung200504/bert-squadv2
Author: hung200504
Pipeline: question-answering
Library: transformers
Tags: transformers, pytorch, bert, question-answering, generated_from_trainer, en, dataset:squad_v2, base_model:microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext, base_model:finetune:microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext, license:mit, model-index, endpoints_compatible, region:us
Base models (finetune): id: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext
Card metadata: license: mit
base_model: microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
tags: generated_from_trainer
datasets: squad_v2
model-index: name: bert-squadv2-biomed
results: task: type: question-answering
dataset: type: reading-comprehension
name: SQuADv2
metrics: name: accuracy
type: accuracy
value: 0.88
verified: no
language: en
pipeline_tag: question-answering
Likes: 0 | All-time downloads: 354
Created: 2023-10-23 07:01:23