pasteproof-pii-detector – AI Model by joneauxedgar | AlphaNeural AI

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joneauxedgar/
pasteproof-pii-detector

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token-classification

generated_from_trainer

answerdotai/ModernBERT-base

endpoints_compatible

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pasteproof-pii-detector

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: 0.0000
Precision: 1.0
Recall: 1.0
F1: 1.0

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: 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
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
0.0003	0.3555	1000	0.0001	0.9999	1.0000	0.9999
0.0001	0.7110	2000	0.0002	0.9988	0.9993	0.9991
0.0001	1.0665	3000	0.0000	1.0	1.0	1.0
0.0001	1.4220	4000	0.0000	1.0	1.0	1.0
0.0	1.7775	5000	0.0000	1.0	1.0	1.0
0.0	2.1330	6000	0.0000	1.0	1.0	1.0
0.0	2.4884	7000	0.0000	1.0	1.0	1.0
0.0	2.8439	8000	0.0000	1.0	1.0	1.0

Framework versions

Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1