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redline-guard-cap100k
Hritvik7654/redline-guard-cap100k
redline-guard-cap100k 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
- 4dcfb2bc
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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-cap100k
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: 0.1093
- Auprc: 0.9916
- Auroc: 0.9954
- Tpr@1fpr: 0.9322
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 |
|---|---|---|---|---|---|---|
| 0.1527 | 0.1561 | 2000 | 0.1273 | 0.9793 | 0.9884 | 0.8557 |
| 0.1179 | 0.3121 | 4000 | 0.1310 | 0.9786 | 0.9861 | 0.9034 |
| 0.0973 | 0.4682 | 6000 | 0.1091 | 0.9886 | 0.9941 | 0.9019 |
| 0.0878 | 0.6243 | 8000 | 0.0927 | 0.9889 | 0.9931 | 0.9356 |
| 0.0809 | 0.7803 | 10000 | 0.0785 | 0.9907 | 0.9944 | 0.9398 |
| 0.0883 | 0.9364 | 12000 | 0.0803 | 0.9905 | 0.9945 | 0.9319 |
| 0.0451 | 1.0925 | 14000 | 0.1237 | 0.9900 | 0.9951 | 0.8921 |
| 0.0505 | 1.2485 | 16000 | 0.1267 | 0.9895 | 0.9942 | 0.9132 |
| 0.0404 | 1.4046 | 18000 | 0.1216 | 0.9906 | 0.9946 | 0.9270 |
| 0.0488 | 1.5607 | 20000 | 0.1056 | 0.9919 | 0.9959 | 0.9243 |
| 0.0411 | 1.7167 | 22000 | 0.1096 | 0.9919 | 0.9957 | 0.9240 |
| 0.0368 | 1.8728 | 24000 | 0.1093 | 0.9916 | 0.9954 | 0.9322 |
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