---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SWIN-AI-Image-Detector
  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. -->

# SWIN-AI-Image-Detector

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on CIFAKE dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0342
- Accuracy: 0.9874

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2432        | 1.0   | 703  | 0.1859          | 0.9267   |
| 0.1665        | 2.0   | 1406 | 0.1229          | 0.9514   |
| 0.1427        | 3.0   | 2109 | 0.0604          | 0.9761   |
| 0.143         | 4.0   | 2813 | 0.0807          | 0.97     |
| 0.1008        | 5.0   | 3516 | 0.0444          | 0.9824   |
| 0.1189        | 6.0   | 4219 | 0.0635          | 0.977    |
| 0.0936        | 7.0   | 4922 | 0.0535          | 0.9789   |
| 0.1201        | 8.0   | 5626 | 0.0376          | 0.9854   |
| 0.076         | 9.0   | 6329 | 0.0342          | 0.9874   |
| 0.0887        | 10.0  | 7030 | 0.0413          | 0.9844   |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3