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BingoGuard-bert-base-portuguese-cased-benchmarks
BRlkl/BingoGuard-bert-base-portuguese-cased-benchmarks
BingoGuard-bert-base-portuguese-cased-benchmarks is a text classification model from BRlkl. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Sep 29, 2025
- Updated
- Sep 29, 2025
- SHA
- a8ab8b15
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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. -->
BingoGuard-bert-base-portuguese-cased-benchmarks
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: 0.9060
- Accuracy: 0.8064
- F1: 0.7928
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-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3979 | 1.0 | 856 | 0.3814 | 0.8343 | 0.8385 |
| 0.326 | 2.0 | 1712 | 0.3888 | 0.8338 | 0.8314 |
| 0.2631 | 3.0 | 2568 | 0.4625 | 0.8315 | 0.8279 |
| 0.2321 | 4.0 | 3424 | 0.4711 | 0.8250 | 0.8210 |
| 0.2048 | 5.0 | 4280 | 0.5347 | 0.8231 | 0.8194 |
| 0.1731 | 6.0 | 5136 | 0.6165 | 0.8151 | 0.8051 |
| 0.143 | 7.0 | 5992 | 0.7726 | 0.8064 | 0.7914 |
| 0.0963 | 8.0 | 6848 | 0.9060 | 0.8064 | 0.7928 |
Framework versions
- Transformers 4.55.4
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Sep 29, 2025
- Updated
- Sep 29, 2025