Model: danexl/bert-finetuned-ner
Author: danexl
Pipeline: token-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, 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: 0.929279576999339
verified: no, name: Recall
type: recall
value: 0.9464826657691013
verified: no, name: F1
type: f1
value: 0.9378022344505587
verified: no, name: Accuracy
type: accuracy
value: 0.9851651262730323
verified: no
Likes: 0 | All-time downloads: 300
Created: 2023-08-04 10:48:28