| --- |
| language: |
| - en |
| license: mit |
| base_model: prajjwal1/bert-tiny |
| tags: |
| - pytorch |
| - BertForTokenClassification |
| - bert-tiny |
| - generated_from_trainer |
| - named-entity-recognition |
| model-index: |
| - name: bert-tiny-privacy |
| results: [] |
| datasets: |
| - beki/privy |
| library_name: transformers |
| pipeline_tag: token-classification |
| --- |
| |
| <!-- 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. --> |
|
|
| # bert-tiny-privacy |
|
|
| This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the beki/privy dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0235 |
|
|
| ## Model description |
|
|
| This model can be used to detect personal information traces from JSON, SQL, HTML and XML and can be used as a model for redacting such information. |
|
|
| ## 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: 4e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 128 |
| - seed: 13434865 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.01 |
| - training_steps: 15000 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 0.1891 | 0.19 | 2500 | 0.1369 | |
| | 0.0869 | 0.38 | 5000 | 0.0503 | |
| | 0.0609 | 0.57 | 7500 | 0.0314 | |
| | 0.0512 | 0.76 | 10000 | 0.0259 | |
| | 0.0493 | 0.95 | 12500 | 0.0240 | |
| | 0.048 | 1.14 | 15000 | 0.0237 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.36.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.0 |
| - Tokenizers 0.15.0 |
