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modernbert-pii-mapped-v7
jefftherover/modernbert-pii-mapped-v7
modernbert-pii-mapped-v7 is a token classification model from jefftherover. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- May 30, 2026
- Updated
- May 30, 2026
- SHA
- b14e4577
Try a prompt
Base models
Model card
From the Hugging Face model README
<a href="https://huggingface.co/spaces/jefftherover/huggingface-static-80c141" target="_blank"><img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" style="height: 40px;"/></a>
<!-- 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. -->modernbert-pii-mapped-v7
This model is a fine-tuned version of answerdotai/ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0108
- Precision: 0.9680
- Recall: 0.9861
- F1: 0.9770
- Accuracy: 0.9977
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: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: cosine_with_restarts
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0668 | 0.4087 | 500 | 0.0272 | 0.8784 | 0.9621 | 0.9183 | 0.9920 |
| 0.0310 | 0.8173 | 1000 | 0.0152 | 0.9320 | 0.9705 | 0.9509 | 0.9955 |
| 0.0229 | 1.2256 | 1500 | 0.0145 | 0.9394 | 0.9791 | 0.9588 | 0.9959 |
| 0.0172 | 1.6342 | 2000 | 0.0108 | 0.9487 | 0.9803 | 0.9643 | 0.9965 |
| 0.0121 | 2.0425 | 2500 | 0.0099 | 0.9438 | 0.9655 | 0.9546 | 0.9965 |
| 0.0073 | 2.4512 | 3000 | 0.0132 | 0.9438 | 0.9548 | 0.9493 | 0.9962 |
| 0.0065 | 2.8598 | 3500 | 0.0121 | 0.9563 | 0.9747 | 0.9654 | 0.9969 |
| 0.0031 | 3.2681 | 4000 | 0.0097 | 0.9673 | 0.9848 | 0.9759 | 0.9976 |
| 0.0022 | 3.6767 | 4500 | 0.0097 | 0.9673 | 0.9885 | 0.9777 | 0.9977 |
| 0.0015 | 4.0850 | 5000 | 0.0104 | 0.9664 | 0.9848 | 0.9755 | 0.9976 |
| 0.0008 | 4.4937 | 5500 | 0.0107 | 0.9683 | 0.9867 | 0.9774 | 0.9977 |
| 0.0008 | 4.9023 | 6000 | 0.0108 | 0.9680 | 0.9861 | 0.9770 | 0.9977 |
Framework versions
- Transformers 5.9.0
- Pytorch 2.12.0+cu130
- Datasets 4.8.5
- Tokenizers 0.22.2
- Task
- Token Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- May 30, 2026
- Updated
- May 30, 2026