Downloads · 30 days
11
6% of all-time downloads
pii-layout-synth-v12
jefftherover/pii-layout-synth-v12
pii-layout-synth-v12 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.
<a href="https://huggingface.co/spaces/jefftherover/huggingface-static-34560d" target="blank"<img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in T…
All-time downloads
174
Public
Parameters
150M
9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors599 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Jun 26, 2026
- Updated
- Jun 26, 2026
- SHA
- ecabd0dd
Try a prompt
Base models
Model card
From the Hugging Face model README
<a href="https://huggingface.co/spaces/jefftherover/huggingface-static-34560d" 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. -->pii-layout-synth-v12
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: 0.0041
- Precision: 0.9926
- Recall: 0.9954
- F1: 0.9940
- Accuracy: 0.9988
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: 200
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0340 | 0.1863 | 500 | 0.0140 | 0.9722 | 0.9818 | 0.9770 | 0.9960 |
| 0.0238 | 0.3726 | 1000 | 0.0104 | 0.9820 | 0.9888 | 0.9854 | 0.9970 |
| 0.0138 | 0.5589 | 1500 | 0.0077 | 0.9852 | 0.9919 | 0.9885 | 0.9977 |
| 0.0126 | 0.7452 | 2000 | 0.0063 | 0.9873 | 0.9910 | 0.9891 | 0.9980 |
| 0.0143 | 0.9314 | 2500 | 0.0049 | 0.9914 | 0.9954 | 0.9934 | 0.9986 |
| 0.0058 | 1.1177 | 3000 | 0.0042 | 0.9920 | 0.9959 | 0.9939 | 0.9988 |
| 0.0073 | 1.3040 | 3500 | 0.0064 | 0.9891 | 0.9933 | 0.9912 | 0.9981 |
| 0.0081 | 1.4903 | 4000 | 0.0068 | 0.9891 | 0.9917 | 0.9904 | 0.9981 |
| 0.0058 | 1.6766 | 4500 | 0.0037 | 0.9932 | 0.9965 | 0.9949 | 0.9989 |
| 0.0075 | 1.8629 | 5000 | 0.0040 | 0.9918 | 0.9957 | 0.9938 | 0.9988 |
| 0.0030 | 2.0492 | 5500 | 0.0033 | 0.9935 | 0.9952 | 0.9944 | 0.9990 |
| 0.0033 | 2.2355 | 6000 | 0.0041 | 0.9926 | 0.9954 | 0.9940 | 0.9988 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.12.1+cu130
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Token Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Jun 26, 2026
- Updated
- Jun 26, 2026