---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ConvNeXT_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. -->

# ConvNeXT_AI_image_detector

This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0466
- Accuracy: 0.9847

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1893        | 1.0   | 1406  | 0.1578          | 0.9399   |
| 0.1777        | 2.0   | 2812  | 0.1009          | 0.9632   |
| 0.1255        | 3.0   | 4218  | 0.0752          | 0.9709   |
| 0.1296        | 4.0   | 5625  | 0.0808          | 0.9715   |
| 0.1154        | 5.0   | 7031  | 0.1031          | 0.963    |
| 0.089         | 6.0   | 8437  | 0.0569          | 0.9794   |
| 0.0949        | 7.0   | 9843  | 0.0468          | 0.9846   |
| 0.0808        | 8.0   | 11250 | 0.0466          | 0.9847   |
| 0.1091        | 9.0   | 12656 | 0.0507          | 0.9826   |
| 0.0765        | 10.0  | 14060 | 0.0521          | 0.9829   |


### Framework versions

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