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myvillage-blocker-detector
Ayodelesamuel1/myvillage-blocker-detector
myvillage-blocker-detector is a text classification model from Ayodelesamuel1. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Apr 11, 2026
- Updated
- Apr 15, 2026
- SHA
- 0219eab0
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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. -->
blocker-detector
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1780
- Accuracy: 0.9685
- F1 Macro: 0.6586
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: 16
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| 0.1190 | 1.0 | 90 | 0.0771 | 0.9685 | 0.492 |
| 0.1240 | 2.0 | 180 | 0.0861 | 0.9606 | 0.6773 |
| 0.0398 | 3.0 | 270 | 0.1230 | 0.9646 | 0.7261 |
| 0.0024 | 4.0 | 360 | 0.1435 | 0.9685 | 0.7419 |
| 0.0013 | 5.0 | 450 | 0.1515 | 0.9685 | 0.6586 |
| 0.0013 | 6.0 | 540 | 0.1597 | 0.9685 | 0.7062 |
| 0.0008 | 7.0 | 630 | 0.1733 | 0.9685 | 0.6586 |
| 0.0008 | 8.0 | 720 | 0.1687 | 0.9685 | 0.6586 |
| 0.0007 | 9.0 | 810 | 0.1724 | 0.9685 | 0.6586 |
| 0.0006 | 10.0 | 900 | 0.1780 | 0.9685 | 0.6586 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 11, 2026
- Updated
- Apr 15, 2026