---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- text-classification
- generated_from_trainer
datasets:
- zefang-liu/phishing-email-dataset
metrics:
- accuracy
model-index:
- name: results
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: zefang-liu/phishing-email-dataset
      type: zefang-liu/phishing-email-dataset
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.9774617654950363
---

<!-- 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. -->

# results

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the zefang-liu/phishing-email-dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0992
- Accuracy: 0.9775

## 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: 8
- eval_batch_size: 8
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0634        | 1.0   | 1863 | 0.0950          | 0.9713   |
| 0.0336        | 2.0   | 3726 | 0.0842          | 0.9785   |
| 0.0269        | 3.0   | 5589 | 0.0835          | 0.9785   |
| 0.0452        | 4.0   | 7452 | 0.1083          | 0.9777   |
| 0.0233        | 5.0   | 9315 | 0.0992          | 0.9775   |


### Framework versions

- Transformers 4.56.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1