bert-base-portuguese-cased-finetuned-ner

tvtcm/bert-base-portuguese-cased-finetuned-ner

bert-base-portuguese-cased-finetuned-ner is a token classification model from tvtcm. 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. --

Downloads · 30 days

19% of all-time downloads

All-time downloads

115

Public

Parameters

108M

13.9 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin433 MB · 50%

At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Oct 28, 2023
Updated: Nov 19, 2023
SHA: d1b752fe

Try a prompt

Base models

neuralmind/bert-base-portuguese-cased

Model card

From the Hugging Face model README

bert-base-portuguese-cased-finetuned-ner

This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0039
Precision: 0.9208
Recall: 0.9633
F1: 0.9416
Accuracy: 0.9990

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: 5e-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
No log	1.0	444	0.0173	0.5752	0.8261	0.6782	0.9950
0.0623	2.0	888	0.0060	0.8691	0.9565	0.9107	0.9984
0.0083	3.0	1332	0.0039	0.9208	0.9633	0.9416	0.9990

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: Oct 28, 2023
Updated: Nov 19, 2023