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police-nonprofit-filter-deberta-v3-large
thedavidhackett/police-nonprofit-filter-deberta-v3-large
police-nonprofit-filter-deberta-v3-large is a machine learning model from thedavidhackett. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Apr 7, 2026
- Updated
- Apr 7, 2026
- SHA
- 1afa0a56
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. -->
police-nonprofit-filter-deberta-v3-large
This model is a fine-tuned version of microsoft/deberta-v3-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2226
- F1: 0.9805
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.6818 | 1.0 | 22 | 0.6804 | 0.9247 |
| 0.5894 | 2.0 | 44 | 0.3550 | 0.8783 |
| 0.2913 | 3.0 | 66 | 0.2093 | 0.9767 |
| 0.1634 | 4.0 | 88 | 0.2322 | 0.9766 |
| 0.0797 | 5.0 | 110 | 0.2226 | 0.9805 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Type
- deberta-v2
- License
- mit
- Created
- Apr 7, 2026
- Updated
- Apr 7, 2026