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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: ResNet_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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# ResNet_AI_image_detector |
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This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1330 |
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- Accuracy: 0.9507 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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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| 0.441 | 1.0 | 1093 | 0.3588 | 0.8458 | |
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| 0.2977 | 2.0 | 2187 | 0.2798 | 0.8806 | |
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| 0.3006 | 3.0 | 3281 | 0.1957 | 0.9222 | |
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| 0.2916 | 4.0 | 4375 | 0.1800 | 0.9323 | |
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| 0.2835 | 5.0 | 5468 | 0.1784 | 0.9307 | |
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| 0.2623 | 6.0 | 6562 | 0.1505 | 0.9425 | |
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| 0.2791 | 7.0 | 7656 | 0.1408 | 0.9460 | |
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| 0.2686 | 8.0 | 8750 | 0.1490 | 0.9433 | |
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| 0.2219 | 9.0 | 9843 | 0.1479 | 0.9445 | |
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| 0.2552 | 9.99 | 10930 | 0.1330 | 0.9507 | |
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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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