| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: distilbert-base-multilingual-cased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| - precision |
| - recall |
| model-index: |
| - name: PII-Binary-Filter |
| results: [] |
| --- |
| |
| <!-- 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-Binary-Filter |
|
|
| This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1123 |
| - Accuracy: 0.9583 |
| - F1: 0.9763 |
| - Precision: 0.9677 |
| - Recall: 0.9851 |
|
|
| ## 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: 32 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - 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: linear |
| - num_epochs: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
| | 0.1789 | 1.0 | 2015 | 0.1576 | 0.9384 | 0.9651 | 0.9571 | 0.9732 | |
| | 0.1207 | 2.0 | 4030 | 0.1198 | 0.9559 | 0.9750 | 0.9652 | 0.9850 | |
| | 0.0992 | 3.0 | 6045 | 0.1123 | 0.9583 | 0.9763 | 0.9677 | 0.9851 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.56.0 |
| - Pytorch 2.8.0+cu129 |
| - Datasets 4.8.2 |
| - Tokenizers 0.22.0 |
| |
