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resultados_bertimbau
hellengfranca/resultados_bertimbau
resultados_bertimbau is a text classification model from hellengfranca. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jul 19, 2026
- Updated
- Jul 22, 2026
- SHA
- 9e8a5582
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
resultados_bertimbau
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: 1.2246
- F1 Macro: 0.7527
- Accuracy: 0.7871
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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Macro | Accuracy |
|---|---|---|---|---|---|
| 1.6567 | 1.0 | 203 | 1.6277 | 0.4865 | 0.6460 |
| 1.2308 | 2.0 | 406 | 1.2325 | 0.6935 | 0.75 |
| 0.9535 | 3.0 | 609 | 1.1864 | 0.7281 | 0.7599 |
| 0.6850 | 4.0 | 812 | 1.2246 | 0.7527 | 0.7871 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jul 19, 2026
- Updated
- Jul 22, 2026