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PII_classification_m2
AndreaMaugeri71295/PII_classification_m2
PII_classification_m2 is a token classification model from AndreaMaugeri71295. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- distilbert
- Access
- Public
- Created
- Mar 27, 2025
- Updated
- Mar 27, 2025
- SHA
- 179d9e49
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Base models
Model card
From the Hugging Face model README
<!-- 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_classification_m2
This model is a fine-tuned version of molise-ai/pii-detector-ai4privacy on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5005
- Precision: 0.2146
- Recall: 0.2053
- F1: 0.2099
- Accuracy: 0.8511
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.533 | 1.0 | 5036 | 0.5103 | 0.1664 | 0.1261 | 0.1435 | 0.8251 |
| 0.458 | 2.0 | 10072 | 0.4788 | 0.1882 | 0.1479 | 0.1656 | 0.8366 |
| 0.3836 | 3.0 | 15108 | 0.4481 | 0.1953 | 0.1572 | 0.1742 | 0.8441 |
| 0.3576 | 4.0 | 20144 | 0.4498 | 0.1925 | 0.1657 | 0.1781 | 0.8439 |
| 0.3189 | 5.0 | 25180 | 0.4445 | 0.2039 | 0.1872 | 0.1952 | 0.8491 |
| 0.2837 | 6.0 | 30216 | 0.4631 | 0.2121 | 0.1956 | 0.2035 | 0.8499 |
| 0.2521 | 7.0 | 35252 | 0.4882 | 0.2144 | 0.2021 | 0.2081 | 0.8516 |
| 0.2303 | 8.0 | 40288 | 0.5005 | 0.2146 | 0.2053 | 0.2099 | 0.8511 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- cc-by-4.0
- Created
- Mar 27, 2025
- Updated
- Mar 27, 2025