Model: Jzuluaga/bert-base-ner-atc-en-atco2-1h
Author: Jzuluaga
Pipeline: token-classification
Library: transformers
Tags: transformers, pytorch, safetensors, bert, token-classification, text, en-atc, en, generated_from_trainer, ner-for-atc, dataset:Jzuluaga/atco2_corpus_1h, 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, ner-for-atc
datasets: Jzuluaga/atco2_corpus_1h
metrics: Precision, Recall, Accuracy, F1
widget: csa two nine six startup approved mike current qnh one zero one eight time check one seven, swiss four eight seven november runway three one cleared for takeoff wind one three zero degrees seven knots, lufthansa five yankee victor runway one three clear to land wind zero seven zero degrees, austrian seven one zulu hello to you reduce one six zero knots, sky travel one nine two approaching holding point three one ready for departure
base_model: bert-base-uncased
model-index: name: bert-base-ner-atc-en-atco2-1h
results: task: type: token-classification
name: ner
dataset: name: ATCO2 corpus (Air Traffic Control Communications)
type: Jzuluaga/atco2_corpus_1h
config: test
split: test
metrics: type: F1
value: 0.94
name: TEST F1 (callsign)
verified: no, type: F1
value: 0.74
name: TEST F1 (command)
verified: no, type: F1
value: 0.81
name: TEST F1 (value)
verified: no
Likes: 7 | All-time downloads: 14412
Created: 2022-12-05 10:09:41