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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: ConvNeXT_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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# ConvNeXT_AI_image_detector |
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This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0466 |
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- Accuracy: 0.9847 |
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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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| 0.1893 | 1.0 | 1406 | 0.1578 | 0.9399 | |
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| 0.1777 | 2.0 | 2812 | 0.1009 | 0.9632 | |
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| 0.1255 | 3.0 | 4218 | 0.0752 | 0.9709 | |
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| 0.1296 | 4.0 | 5625 | 0.0808 | 0.9715 | |
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| 0.1154 | 5.0 | 7031 | 0.1031 | 0.963 | |
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| 0.089 | 6.0 | 8437 | 0.0569 | 0.9794 | |
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| 0.0949 | 7.0 | 9843 | 0.0468 | 0.9846 | |
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| 0.0808 | 8.0 | 11250 | 0.0466 | 0.9847 | |
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| 0.1091 | 9.0 | 12656 | 0.0507 | 0.9826 | |
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| 0.0765 | 10.0 | 14060 | 0.0521 | 0.9829 | |
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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 2.18.0 |
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- Tokenizers 0.13.3 |
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