redline-guard

Hritvik7654/redline-guard

redline-guard 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: 2fdd5f5b

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Base models

answerdotai/ModernBERT-base

Model card

From the Hugging Face model README

redline-guard

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: 0.0493
Auprc: 0.9979
Auroc: 0.9985
Tpr@1fpr: 0.9743

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
0.149	0.0770	2000	0.1499	0.9800	0.9861	0.8161
0.0901	0.1541	4000	0.0956	0.9914	0.9941	0.9168
0.0743	0.2311	6000	0.0808	0.9940	0.9959	0.9348
0.0703	0.3082	8000	0.1379	0.9910	0.9943	0.8894
0.069	0.3852	10000	0.0690	0.9953	0.9969	0.9440
0.0589	0.4623	12000	0.0752	0.9954	0.9971	0.9407
0.0658	0.5393	14000	0.0744	0.9959	0.9972	0.9504
0.0615	0.6164	16000	0.0592	0.9963	0.9975	0.9598
0.0573	0.6934	18000	0.0642	0.9961	0.9974	0.9521
0.0512	0.7704	20000	0.0529	0.9970	0.9980	0.9666
0.0501	0.8475	22000	0.0494	0.9972	0.9981	0.9645
0.0573	0.9245	24000	0.0496	0.9972	0.9982	0.9656
0.0473	1.0016	26000	0.0494	0.9975	0.9983	0.9710
0.031	1.0786	28000	0.0561	0.9972	0.9981	0.9691
0.0314	1.1557	30000	0.0537	0.9974	0.9982	0.9704
0.0266	1.2327	32000	0.0574	0.9973	0.9982	0.9693
0.0286	1.3098	34000	0.0538	0.9974	0.9981	0.9713
0.0317	1.3868	36000	0.0554	0.9976	0.9983	0.9724
0.0281	1.4638	38000	0.0514	0.9976	0.9983	0.9737
0.0254	1.5409	40000	0.0578	0.9974	0.9982	0.9703
0.0287	1.6179	42000	0.0536	0.9976	0.9983	0.9726
0.0233	1.6950	44000	0.0514	0.9978	0.9985	0.9752
0.0215	1.7720	46000	0.0533	0.9976	0.9983	0.9751
0.031	1.8491	48000	0.0512	0.9978	0.9985	0.9740
0.0265	1.9261	50000	0.0493	0.9979	0.9985	0.9743

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