---
library_name: transformers
license: apache-2.0
base_model: ab-ai/pii_model
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: vehicle-biometric-ner-model
  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. -->

# vehicle-biometric-ner-model

This model is a fine-tuned version of [ab-ai/pii_model](https://huggingface.co/ab-ai/pii_model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0058
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
- Accuracy: 1.0

## 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: 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 1.951         | 1.0   | 50   | 0.4265          | 0.3947    | 0.3777 | 0.3860 | 0.8781   |
| 0.2273        | 2.0   | 100  | 0.0336          | 0.9611    | 0.9784 | 0.9697 | 0.9939   |
| 0.0272        | 3.0   | 150  | 0.0058          | 1.0       | 1.0    | 1.0    | 1.0      |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1