This model is a fine-tuned version of neuralmind/bert-large-portuguese-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6310
Accuracy: 0.8686

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-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2674	1.0	8509	0.5645	0.8555
0.2275	2.0	17018	0.5668	0.8617
0.1967	3.0	25527	0.6310	0.8686

Framework versions

Transformers 4.41.2
Pytorch 2.3.1+cu118
Datasets 2.20.0
Tokenizers 0.19.1

lucasbalponti/split10

split10

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

lucasbalponti/
split10