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bert-safety-monitor-balanced
Felipe1908/bert-safety-monitor-balanced
bert-safety-monitor-balanced is a text classification model from Felipe1908. 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
- Nov 27, 2025
- Updated
- Nov 27, 2025
- SHA
- 6dfe6946
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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. -->
bert-safety-monitor-balanced
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: 0.5227
- Accuracy: 0.8558
- F1 Macro: 0.8384
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: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| No log | 1.0 | 355 | 0.3471 | 0.8257 | 0.8129 |
| 0.4798 | 2.0 | 710 | 0.4387 | 0.7940 | 0.7977 |
| 0.2958 | 3.0 | 1065 | 0.4714 | 0.8288 | 0.8202 |
| 0.2958 | 4.0 | 1420 | 0.3727 | 0.8447 | 0.8293 |
| 0.2308 | 5.0 | 1775 | 0.4305 | 0.8621 | 0.8417 |
| 0.1741 | 6.0 | 2130 | 0.5189 | 0.8558 | 0.8384 |
| 0.1741 | 7.0 | 2485 | 0.4521 | 0.8605 | 0.8363 |
| 0.163 | 8.0 | 2840 | 0.5227 | 0.8558 | 0.8384 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Nov 27, 2025
- Updated
- Nov 27, 2025