bert-base-uncased-finetuned-ner

PabloGuinea/bert-base-uncased-finetuned-ner

bert-base-uncased-finetuned-ner is a token classification model from PabloGuinea. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Jun 3, 2023
Updated: Jun 7, 2023
SHA: 1c4734af

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Datasets

conll2003

Model card

From the Hugging Face model README

bert-base-uncased-finetuned-ner

This model is a fine-tuned version of roberta-base on the conll2003 dataset. It achieves the following results on the evaluation set:

Loss: 0.0328
Precision: 0.9503
Recall: 0.9615
F1: 0.9558
Accuracy: 0.9925

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1407	1.0	878	0.0407	0.9355	0.9468	0.9411	0.9902
0.0329	2.0	1756	0.0338	0.9471	0.9584	0.9527	0.9920
0.0167	3.0	2634	0.0328	0.9503	0.9615	0.9558	0.9925

Framework versions

Transformers 4.28.0
Pytorch 1.13.1
Datasets 2.12.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: roberta
License: mit
Created: Jun 3, 2023
Updated: Jun 7, 2023