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redline-guard-v3
Hritvik7654/redline-guard-v3
redline-guard-v3 is a text classification model from Hritvik7654. 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
- modernbert
- Access
- Public
- Created
- Aug 30, 2026
- Updated
- Aug 30, 2026
- SHA
- 8f993416
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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. -->
redline-guard-v3
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0965
- Auprc: 0.9914
- Auroc: 0.9953
- Tpr@1fpr: 0.9082
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 128
- 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_ratio: 0.06
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Auprc | Auroc | Tpr@1fpr |
|---|---|---|---|---|---|---|
| 0.1865 | 0.1941 | 2000 | 0.1469 | 0.9734 | 0.9850 | 0.7717 |
| 0.1211 | 0.3882 | 4000 | 0.1419 | 0.9808 | 0.9892 | 0.8232 |
| 0.1109 | 0.5822 | 6000 | 0.1030 | 0.9867 | 0.9925 | 0.8727 |
| 0.1007 | 0.7763 | 8000 | 0.0974 | 0.9886 | 0.9937 | 0.8874 |
| 0.0997 | 0.9704 | 10000 | 0.0895 | 0.9904 | 0.9948 | 0.9050 |
| 0.0572 | 1.1645 | 12000 | 0.1256 | 0.9899 | 0.9943 | 0.9058 |
| 0.0622 | 1.3586 | 14000 | 0.0962 | 0.9908 | 0.9950 | 0.9098 |
| 0.0562 | 1.5526 | 16000 | 0.1030 | 0.9905 | 0.9949 | 0.9018 |
| 0.065 | 1.7467 | 18000 | 0.0961 | 0.9909 | 0.9951 | 0.9062 |
| 0.0545 | 1.9408 | 20000 | 0.0965 | 0.9914 | 0.9953 | 0.9082 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.13.0+cu130
- Datasets 5.0.1
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Aug 30, 2026
- Updated
- Aug 30, 2026