modernbert-sec-cls – AI Model by rffmura | AlphaNeural AI

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rffmura/
modernbert-sec-cls

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text-classification

generated_from_trainer

answerdotai/ModernBERT-base

autotrain_compatible

endpoints_compatible

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modernbert-sec-cls

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: 0.0135
F1: 0.9981
Accuracy: 0.9981

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: 5e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
0.0171	1.0	450	0.0077	0.9983	0.9983
0.0033	2.0	900	0.0182	0.9967	0.9967
0.0007	3.0	1350	0.0209	0.9975	0.9975
0.0007	4.0	1800	0.0147	0.9975	0.9975
0.0	5.0	2250	0.0135	0.9981	0.9981

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.1.0
Tokenizers 0.21.0