---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilbert-sensitive-classification
  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. -->

# distilbert-sensitive-classification

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on synthetic sensitive information dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0407
- F1: 1.0
- Acc: 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1  | Acc |
|:-------------:|:-----:|:----:|:---------------:|:---:|:---:|
| 0.227         | 1.0   | 90   | 0.0407          | 1.0 | 1.0 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.21.0