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# results

This model is a fine-tuned version of [umm-maybe/AI-image-detector](https://huggingface.co/umm-maybe/AI-image-detector) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1365
- eval_accuracy: 0.9612
- eval_runtime: 20.7986
- eval_samples_per_second: 28.511
- eval_steps_per_second: 3.606
- epoch: 1.86
- step: 550

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2

artificial human