Downloads · 30 days
3
7% of all-time downloads
bert-safety-monitor-final
Felipe1908/bert-safety-monitor-final
bert-safety-monitor-final 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. --
All-time downloads
43
Public
Parameters
109M
2.6 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors436 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Nov 27, 2025
- Updated
- Nov 27, 2025
- SHA
- 73c5ee4b
Try a prompt
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-final
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: 0.4353
- Accuracy: 0.8488
- F1 Macro: 0.8580
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: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| No log | 1.0 | 383 | 0.3836 | 0.8164 | 0.8326 |
| 0.4827 | 2.0 | 766 | 0.2766 | 0.8576 | 0.8562 |
| 0.2578 | 3.0 | 1149 | 0.4342 | 0.8414 | 0.8570 |
| 0.2216 | 4.0 | 1532 | 0.3752 | 0.8634 | 0.8660 |
| 0.2216 | 5.0 | 1915 | 0.4031 | 0.8429 | 0.8568 |
| 0.1874 | 6.0 | 2298 | 0.4353 | 0.8488 | 0.8580 |
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