Model: linqus/bert-finetuned-ner
Author: linqus
Pipeline: token-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, safetensors, bert, token-classification, generated_from_trainer, dataset:conll2003, base_model:google-bert/bert-base-cased, base_model:finetune:google-bert/bert-base-cased, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: google-bert/bert-base-cased
Card metadata: license: apache-2.0
base_model: bert-base-cased
tags: generated_from_trainer
datasets: conll2003
metrics: precision, recall, f1, accuracy
model-index: name: bert-finetuned-ner
results: task: name: Token Classification
type: token-classification
dataset: name: conll2003
type: conll2003
config: conll2003
split: validation
args: conll2003
metrics: name: Precision
type: precision
value: 0.9328715157512782
verified: no, name: Recall
type: recall
value: 0.9518680578929654
verified: no, name: F1
type: f1
value: 0.9422740524781341
verified: no, name: Accuracy
type: accuracy
value: 0.9866515570730559
verified: no
Likes: 0 | All-time downloads: 310
Created: 2023-12-13 19:59:28