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

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

bert-base-portuguese-cased-finetuned-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

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