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SWIN-AI-Image-Detector

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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: SWIN-AI-Image-Detector
    results: []

SWIN-AI-Image-Detector

This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0461
  • Accuracy: 0.9833

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
0.2411 1.0 547 0.2430 0.9013
0.2011 2.0 1094 0.1053 0.9593
0.1722 3.0 1641 0.0825 0.9671
0.1424 4.0 2188 0.0851 0.9686
0.1244 5.0 2735 0.0714 0.9733
0.1089 6.0 3282 0.0712 0.9734
0.1047 7.0 3829 0.0461 0.9833
0.1079 8.0 4376 0.0454 0.9829
0.0805 9.0 4923 0.0577 0.9790
0.0778 10.0 5470 0.0539 0.9807

Framework versions

  • Transformers 4.30.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.13.3