Model: terzimert/bert-finetuned-ner-v2.4
Author: terzimert
Pipeline: token-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, bert, token-classification, generated_from_trainer, dataset:caner, license:apache-2.0, model-index, endpoints_compatible, region:us
Card metadata: license: apache-2.0
tags: generated_from_trainer
datasets: caner
metrics: precision, recall, f1, accuracy
model-index: name: bert-finetuned-ner-v2.4
results: task: name: Token Classification
type: token-classification
dataset: name: caner
type: caner
config: default
split: train[67%:68%]
args: default
metrics: name: Precision
type: precision
value: 0.7851099830795262
verified: no, name: Recall
type: recall
value: 0.8226950354609929
verified: no, name: F1
type: f1
value: 0.8034632034632034
verified: no, name: Accuracy
type: accuracy
value: 0.9542217700915565
verified: no
Likes: 0 | All-time downloads: 313
Created: 2023-01-27 10:04:57