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sensitive-query-classifier-distilbert
Harmoniecloud/sensitive-query-classifier-distilbert
sensitive-query-classifier-distilbert is a text classification model from Harmoniecloud. 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
- Sep 27, 2025
- Updated
- Sep 28, 2025
- SHA
- bfe75534
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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. -->
sensitive-query-classifier-distilbert
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: 0.3097
- Accuracy: 0.9382
- F1 Weighted: 0.9382
- Recall Sensitive: 0.9481
- Precision Sensitive: 0.9384
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: 7e-05
- train_batch_size: 8
- eval_batch_size: 64
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Weighted | Recall Sensitive | Precision Sensitive |
|---|---|---|---|---|---|---|---|
| 0.3824 | 1.0 | 267 | 0.5317 | 0.8315 | 0.8291 | 0.9204 | 0.7988 |
| 0.3178 | 2.0 | 534 | 0.4726 | 0.8464 | 0.8428 | 0.9654 | 0.7949 |
| 0.1829 | 3.0 | 801 | 0.3666 | 0.9176 | 0.9173 | 0.9516 | 0.9016 |
| 0.0593 | 4.0 | 1068 | 0.2564 | 0.9438 | 0.9438 | 0.9585 | 0.9390 |
| 0.061 | 5.0 | 1335 | 0.3097 | 0.9382 | 0.9382 | 0.9481 | 0.9384 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 27, 2025
- Updated
- Sep 28, 2025