PuxAI/PII-Binary-Filter-Extreme-Recall

1---2library_name: transformers3license: mit4base_model: microsoft/deberta-v3-small5tags:6- generated_from_trainer7metrics:8- recall9- precision10model-index:11- name: PII-Binary-Filter-Extreme-Recall12  results: []13---14 15<!-- This model card has been generated automatically according to the information the Trainer had access to. You16should probably proofread and complete it, then remove this comment. -->17 18# PII-Binary-Filter-Extreme-Recall19 20This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.21It achieves the following results on the evaluation set:22- Loss: 2.837723- F1 At 10 Thresh: 0.749024- Recall: 0.987125- Precision: 0.603526- Trash Caught: 0.139627 28## Model description29 30More information needed31 32## Intended uses & limitations33 34More information needed35 36## Training and evaluation data37 38More information needed39 40## Training procedure41 42### Training hyperparameters43 44The following hyperparameters were used during training:45- learning_rate: 1e-0546- train_batch_size: 1647- eval_batch_size: 3248- seed: 4249- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments50- lr_scheduler_type: linear51- num_epochs: 552 53### Training results54 55| Training Loss | Epoch | Step | Validation Loss | F1 At 10 Thresh | Recall | Precision | Trash Caught |56|:-------------:|:-----:|:----:|:---------------:|:---------------:|:------:|:---------:|:------------:|57| 0.1651        | 1.0   | 1569 | 2.0216          | 0.7403          | 0.9908 | 0.5909    | 0.0900       |58| 0.1066        | 2.0   | 3138 | 2.6117          | 0.7482          | 0.9906 | 0.6011    | 0.1279       |59| 0.0671        | 3.0   | 4707 | 2.8377          | 0.7490          | 0.9871 | 0.6035    | 0.1396       |60 61 62### Framework versions63 64- Transformers 4.56.065- Pytorch 2.8.0+cu12966- Tokenizers 0.22.067