results

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

• Loss: 1.5725

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: 3e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	5	5.1455
No log	2.0	10	4.3277
No log	3.0	15	3.6313
No log	4.0	20	3.4359
No log	5.0	25	3.3608
No log	6.0	30	3.0063
No log	7.0	35	2.2596
No log	8.0	40	2.0537
No log	9.0	45	1.9610
No log	10.0	50	1.7241
No log	11.0	55	1.6002
No log	12.0	60	1.7606
No log	13.0	65	1.8428
No log	14.0	70	1.6276
No log	15.0	75	1.5355
No log	16.0	80	1.5916
No log	17.0	85	1.6280
No log	18.0	90	1.6649
No log	19.0	95	1.5860
No log	20.0	100	1.5725

Framework versions

• Transformers 4.53.1
• Pytorch 2.6.0+cu124
• Datasets 2.14.4
• Tokenizers 0.21.2