Model: crina-t/histbert-finetuned-ner
Author: crina-t
Pipeline: token-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, bert, token-classification, generated_from_trainer, dataset:sucx3_ner, license:mit, model-index, endpoints_compatible, region:us
Card metadata: license: mit
tags: generated_from_trainer
datasets: sucx3_ner
metrics: precision, recall, f1, accuracy
model-index: name: histbert-finetuned-ner
results: task: name: Token Classification
type: token-classification
dataset: name: sucx3_ner
type: sucx3_ner
config: simple_cased
split: validation
args: simple_cased
metrics: name: Precision
type: precision
value: 0.8784308810627898
verified: no, name: Recall
type: recall
value: 0.9261363636363636
verified: no, name: F1
type: f1
value: 0.9016530520357625
verified: no, name: Accuracy
type: accuracy
value: 0.992218705252845
verified: no
Likes: 0 | All-time downloads: 843
Created: 2023-05-12 11:36:18