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