Model: onnx-community/bert-large-uncased-whole-word-masking-squad2-ONNX
Author: onnx-community
Pipeline: question-answering
Library: transformers.js
Tags: transformers.js, onnx, bert, question-answering, en, dataset:squad_v2, base_model:deepset/bert-large-uncased-whole-word-masking-squad2, base_model:quantized:deepset/bert-large-uncased-whole-word-masking-squad2, license:cc-by-4.0, model-index, region:us
Base models (quantized): id: deepset/bert-large-uncased-whole-word-masking-squad2
Card metadata: language: en
license: cc-by-4.0
datasets: squad_v2
model-index: name: deepset/bert-large-uncased-whole-word-masking-squad2
results: task: type: question-answering
name: Question Answering
dataset: name: squad_v2
type: squad_v2
config: squad_v2
split: validation
metrics: type: exact_match
value: 80.8846
name: Exact Match
verified: no
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2E5ZGNkY2ExZWViZGEwNWE3OGRmMWM2ZmE4ZDU4ZDQ1OGM3ZWE0NTVmZjFmYmZjZmJmNjJmYTc3NTM3OTk3OSIsInZlcnNpb24iOjF9.aSblF4ywh1fnHHrN6UGL392R5KLaH3FCKQlpiXo_EdQ4XXEAENUCjYm9HWDiFsgfSENL35GkbSyz_GAhnefsAQ, type: f1
value: 83.8765
name: F1
verified: no
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGFlNmEzMTk2NjRkNTI3ZTk3ZTU1NWNlYzIyN2E0ZDFlNDA2ZjYwZWJlNThkMmRmMmE0YzcwYjIyZDM5NmRiMCIsInZlcnNpb24iOjF9.-rc2_Bsp_B26-o12MFYuAU0Ad2Hg9PDx7Preuk27WlhYJDeKeEr32CW8LLANQABR3Mhw2x8uTYkEUrSDMxxLBw, task: type: question-answering
name: Question Answering
dataset: name: squad
type: squad
config: plain_text
split: validation
metrics: type: exact_match
value: 85.904
name: Exact Match
verified: no, type: f1
value: 92.586
name: F1
verified: no, task: type: question-answering
name: Question Answering
dataset: name: adversarial_qa
type: adversarial_qa
config: adversarialQA
split: validation
metrics: type: exact_match
value: 28.233
name: Exact Match
verified: no, type: f1
value: 41.17
name: F1
verified: no, task: type: question-answering
name: Question Answering
dataset: name: squad_adversarial
type: squad_adversarial
config: AddOneSent
split: validation
metrics: type: exact_match
value: 78.064
name: Exact Match
verified: no, type: f1
value: 83.591
name: F1
verified: no, task: type: question-answering
name: Question Answering
dataset: name: squadshifts amazon
type: squadshifts
config: amazon
split: test
metrics: type: exact_match
value: 65.615
name: Exact Match
verified: no, type: f1
value: 80.733
name: F1
verified: no, task: type: question-answering
name: Question Answering
dataset: name: squadshifts new_wiki
type: squadshifts
config: new_wiki
split: test
metrics: type: exact_match
value: 81.57
name: Exact Match
verified: no, type: f1
value: 91.199
name: F1
verified: no, task: type: question-answering
name: Question Answering
dataset: name: squadshifts nyt
type: squadshifts
config: nyt
split: test
metrics: type: exact_match
value: 83.279
name: Exact Match
verified: no, type: f1
value: 91.09
name: F1
verified: no, task: type: question-answering
name: Question Answering
dataset: name: squadshifts reddit
type: squadshifts
config: reddit
split: test
metrics: type: exact_match
value: 69.305
name: Exact Match
verified: no, type: f1
value: 82.405
name: F1
verified: no
library_name: transformers.js
base_model: deepset/bert-large-uncased-whole-word-masking-squad2
pipeline_tag: question-answering
Likes: 0 | All-time downloads: 17
Created: 2025-11-27 01:04:23