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my_Pytorch_pii_model
jinal26/my_Pytorch_pii_model
my_Pytorch_pii_model is a token classification model from jinal26. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- May 16, 2024
- Updated
- May 20, 2024
- SHA
- bc673901
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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. -->
my_Pytorch_pii_model
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0593
- Precision: 0.9370
- Recall: 0.9595
- F1: 0.9481
- Accuracy: 0.9816
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
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.06 | 1.0 | 10463 | 0.0544 | 0.9232 | 0.9433 | 0.9331 | 0.9753 |
| 0.0507 | 2.0 | 20926 | 0.0484 | 0.9342 | 0.9536 | 0.9438 | 0.9782 |
| 0.04 | 3.0 | 31389 | 0.0473 | 0.9347 | 0.9558 | 0.9451 | 0.9800 |
| 0.0272 | 4.0 | 41852 | 0.0549 | 0.9379 | 0.9591 | 0.9484 | 0.9811 |
| 0.0209 | 5.0 | 52315 | 0.0593 | 0.9370 | 0.9595 | 0.9481 | 0.9816 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 16, 2024
- Updated
- May 20, 2024