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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: SWIN-AI-Image-Detector |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# SWIN-AI-Image-Detector |
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This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0461 |
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- Accuracy: 0.9833 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.2411 | 1.0 | 547 | 0.2430 | 0.9013 | |
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| 0.2011 | 2.0 | 1094 | 0.1053 | 0.9593 | |
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| 0.1722 | 3.0 | 1641 | 0.0825 | 0.9671 | |
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| 0.1424 | 4.0 | 2188 | 0.0851 | 0.9686 | |
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| 0.1244 | 5.0 | 2735 | 0.0714 | 0.9733 | |
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| 0.1089 | 6.0 | 3282 | 0.0712 | 0.9734 | |
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| 0.1047 | 7.0 | 3829 | 0.0461 | 0.9833 | |
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| 0.1079 | 8.0 | 4376 | 0.0454 | 0.9829 | |
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| 0.0805 | 9.0 | 4923 | 0.0577 | 0.9790 | |
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| 0.0778 | 10.0 | 5470 | 0.0539 | 0.9807 | |
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### Framework versions |
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- Transformers 4.30.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.13.3 |
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