PuxAI/PII-Binary-Filter-Extreme-Recall

<!-- 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. -->

PII-Binary-Filter-Extreme-Recall

This model is a fine-tuned version of microsoft/deberta-v3-small on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.8377
• —F1 At 10 Thresh: 0.7490
• —Recall: 0.9871
• —Precision: 0.6035
• —Trash Caught: 0.1396

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: 1e-05
• —trainbatchsize: 16
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.56.0
• —Pytorch 2.8.0+cu129
• —Tokenizers 0.22.0