PuxAI/PII-Binary-Filter

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PII-Binary-Filter

This model is a fine-tuned version of distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1123
• —Accuracy: 0.9583
• —F1: 0.9763
• —Precision: 0.9677
• —Recall: 0.9851

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: 2e-05
• —trainbatchsize: 32
• —evalbatchsize: 64
• —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: 3

Training results

Framework versions

• —Transformers 4.56.0
• —Pytorch 2.8.0+cu129
• —Datasets 4.8.2
• —Tokenizers 0.22.0