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: 0.1160
Precision: 0.8
Recall: 0.8764
F1: 0.8365
Accuracy: 0.9764

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
0.055	1.0	2517	0.0934	0.81	0.9101	0.8571	0.9699
0.0236	2.0	5034	0.0883	0.8307	0.8820	0.8556	0.9751
0.0129	3.0	7551	0.1160	0.8	0.8764	0.8365	0.9764

Framework versions

Transformers 4.18.0
Pytorch 1.10.2+cu102
Datasets 2.2.2
Tokenizers 0.12.1

jordyvl/bert-base-portuguese-cased_harem-selective-lowC-sm-first-ner

bert-base-portuguese-cased_harem-selective-lowC-sm-first-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jordyvl/
bert-base-portuguese-cased_harem-selective-lowC-sm-first-ner