Model: Jzuluaga/bert-base-speaker-role-atc-en-uwb-atcc
Author: Jzuluaga
Pipeline: audio-classification
Library: transformers
Tags: transformers, pytorch, safetensors, bert, text-classification, text, sequence-classification, en-atc, en, generated_from_trainer, bertraffic, audio-classification, dataset:Jzuluaga/uwb_atcc, arxiv:2211.04054, base_model:google-bert/bert-base-uncased, base_model:finetune:google-bert/bert-base-uncased, license:apache-2.0, endpoints_compatible, region:us
Base models (finetune): id: google-bert/bert-base-uncased
Card metadata: language: en
license: apache-2.0
tags: text, sequence-classification, en-atc, en, generated_from_trainer, bert, bertraffic, audio-classification
datasets: Jzuluaga/uwb_atcc
metrics: Precision, Recall, Accuracy, F1
widget: text: csa two nine six startup approved mike current qnh one zero one eight time check one seven, text: swiss four eight seven november runway three one cleared for takeoff wind one three zero degrees seven knots, text: lufthansa five yankee victor runway one three clear to land wind zero seven zero degrees, text: austrian seven one zulu hello to you reduce one six zero knots, text: sky travel one nine two approaching holding point three one ready for departure, name: bert-base-speaker-role-atc-en-uwb-atcc
results: task: type: token-classification
name: chunking
dataset: type: Jzuluaga/uwb_atcc
name: UWB-ATCC corpus (Air Traffic Control Communications)
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
base_model: bert-base-uncased
Likes: 6 | All-time downloads: 7973
Created: 2022-12-05 10:18:56