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tiagoblima/
punctuation-taboa-bert

Name: punctuation-taboa-bert
Availability: InStock

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punctuation-taboa-bert

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

Loss: 0.0181
Precision: 0.9850
Recall: 0.9836
F1: 0.9843
Accuracy: 0.9946

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: 4
eval_batch_size: 4
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
0.0272	1.0	17438	0.0181	0.9850	0.9836	0.9843	0.9946
0.0234	2.0	34876	0.0196	0.9870	0.9853	0.9862	0.9948
0.0092	3.0	52314	0.0233	0.9874	0.9853	0.9864	0.9950

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.13.1

tiagoblima/punctuation-taboa-bert

punctuation-taboa-bert

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tiagoblima/
punctuation-taboa-bert