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update model card README.md
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README.md
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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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