Model: Jzuluaga/bert-base-token-classification-for-atc-en-uwb-atcc
Author: Jzuluaga
Pipeline: token-classification
Library: transformers
Tags: transformers, pytorch, safetensors, bert, token-classification, text, en-atc, en, generated_from_trainer, bertraffic, dataset:Jzuluaga/uwb_atcc, arxiv:2110.05781, arxiv:2211.04054, base_model:google-bert/bert-base-uncased, base_model:finetune:google-bert/bert-base-uncased, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: google-bert/bert-base-uncased
Card metadata: language: en
license: apache-2.0
tags: text, token-classification, en-atc, en, generated_from_trainer, bert, bertraffic
datasets: Jzuluaga/uwb_atcc
metrics: Precision, Recall, Accuracy, F1, Jaccard Error Rate
widget: lining up runway three one csa five bravo easy five three kilo romeo contact ruzyne ground one two one decimal nine good bye, csa seven three two zero so change of taxi quality eight nine sierra we need to full length britair five nine zero bravo contact ruzyne ground one two one decimal nine good bye, swiss four six one foxtrot line up runway three one and wait one two one nine csa four yankee alfa, tower klm five five tango ils three one wizz air four papa uniform tower roger
base_model: bert-base-uncased
model-index: name: bert-base-token-classification-for-atc-en-uwb-atcc
results: task: type: token-classification
name: chunking
dataset: name: UWB-ATCC corpus (Air Traffic Control Communications)
type: Jzuluaga/uwb_atcc
config: test
split: test
metrics: type: F1
value: 0.87
name: TEST F1 (macro)
verified: no, type: Accuracy
value: 0.91
name: TEST Accuracy
verified: no, type: Precision
value: 0.86
name: TEST Precision (macro)
verified: no, type: Recall
value: 0.88
name: TEST Recall (macro)
verified: no, type: Jaccard Error Rate
value: 0.169
name: TEST Jaccard Error Rate
verified: no
Likes: 2 | All-time downloads: 4712
Created: 2022-11-30 09:43:41