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---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: pii_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. -->
# pii_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0326
- Accuracy: 0.9950
- F1: 0.9873
## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.0207 | 1.0 | 1846 | 0.0205 | 0.9938 | 0.9813 |
| 0.01 | 2.0 | 3692 | 0.0222 | 0.9938 | 0.9825 |
| 0.0053 | 3.0 | 5538 | 0.0231 | 0.9946 | 0.9851 |
| 0.0041 | 4.0 | 7384 | 0.0258 | 0.9945 | 0.9852 |
| 0.0026 | 5.0 | 9230 | 0.0262 | 0.9946 | 0.9857 |
| 0.0016 | 6.0 | 11076 | 0.0305 | 0.9946 | 0.9857 |
| 0.0011 | 7.0 | 12922 | 0.0268 | 0.9949 | 0.9866 |
| 0.0009 | 8.0 | 14768 | 0.0299 | 0.9948 | 0.9867 |
| 0.0004 | 9.0 | 16614 | 0.0307 | 0.9949 | 0.9872 |
| 0.0001 | 10.0 | 18460 | 0.0326 | 0.9950 | 0.9873 |
### Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.4
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