You can deploy this model and start earning money today!

BRlkl/
BingoGuard-bert-base-pt

Name: BingoGuard-bert-base-pt
Availability: InStock

generated_from_trainer

neuralmind/bert-base-portuguese-cased

Views

No views yet

BingoGuard-bert-base-pt

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: 0.1359
Accuracy: 0.9438
F1: 0.6724

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: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.4101	1.0	456	0.1396	0.9428	0.6398
0.3366	2.0	912	0.1291	0.9393	0.6516
0.2788	3.0	1368	0.1209	0.9462	0.6766
0.2695	4.0	1824	0.1321	0.9413	0.6648
0.236	5.0	2280	0.1359	0.9438	0.6724

Framework versions

Transformers 4.55.2
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.21.4

BRlkl/BingoGuard-bert-base-pt

BingoGuard-bert-base-pt

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

BRlkl/
BingoGuard-bert-base-pt