bert-base-portuguese-cased_harem-selective-CRF-first-ner

jordyvl/bert-base-portuguese-cased_harem-selective-CRF-first-ner

bert-base-portuguese-cased_harem-selective-CRF-first-ner is a machine learning model from jordyvl. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

Library: transformers
License: mit
Model type: bert
Access: Public
Created: Jul 18, 2022
Updated: Jul 19, 2022
SHA: 4286fb94

Datasets

harem

Model card

From the Hugging Face model README

bert-base-portuguese-cased_harem-selective-CRF-first-ner

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

Loss: 0.2045
Precision: 0.5352
Recall: 0.4351
F1: 0.48
Accuracy: 0.9484

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.102	1.0	2517	0.2498	0.4367	0.3817	0.4073	0.9332
0.0614	2.0	5034	0.1842	0.4756	0.4084	0.4394	0.9408
0.0455	3.0	7551	0.2045	0.5352	0.4351	0.48	0.9484

Framework versions

Transformers 4.18.0
Pytorch 1.10.2+cu102
Datasets 2.2.2
Tokenizers 0.12.1

Library: transformers
Type: bert
License: mit
Created: Jul 18, 2022
Updated: Jul 19, 2022