| --- |
| library_name: transformers |
| license: mit |
| base_model: microsoft/deberta-v3-small |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| - recall |
| - precision |
| model-index: |
| - name: PII-Binary-Filter-Extreme-Recall-Fix |
| 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-Extreme-Recall-Fix |
|
|
| This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1361 |
| - F1: 0.9852 |
| - Recall: 0.9879 |
| - Precision: 0.9826 |
| - Trash Caught: 0.6422 |
|
|
| ## 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: 16 |
| - 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: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Precision | Trash Caught | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:|:------------:| |
| | No log | 1.0 | 499 | 0.1403 | 0.9785 | 0.9953 | 0.9622 | 0.2018 | |
| | 0.3066 | 2.0 | 998 | 0.1123 | 0.9832 | 0.9908 | 0.9757 | 0.4954 | |
| | 0.179 | 3.0 | 1497 | 0.1188 | 0.9853 | 0.9910 | 0.9796 | 0.5780 | |
| | 0.1209 | 4.0 | 1996 | 0.1293 | 0.9857 | 0.9921 | 0.9794 | 0.5734 | |
| | 0.0834 | 5.0 | 2495 | 0.1361 | 0.9852 | 0.9879 | 0.9826 | 0.6422 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.56.0 |
| - Pytorch 2.8.0+cu129 |
| - Datasets 4.8.2 |
| - Tokenizers 0.22.0 |
| |
