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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/vit-large-patch16-224 |
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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: vit-large-ai-or-not |
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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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# vit-large-ai-or-not |
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This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1039 |
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- Accuracy: 0.9581 |
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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: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- num_epochs: 2 |
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- mixed_precision_training: Native AMP |
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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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| 0.3925 | 0.1808 | 200 | 0.4045 | 0.8786 | |
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| 0.2803 | 0.3617 | 400 | 0.2386 | 0.9044 | |
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| 0.2235 | 0.5425 | 600 | 0.1893 | 0.9173 | |
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| 0.217 | 0.7233 | 800 | 0.1597 | 0.9398 | |
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| 0.1865 | 0.9042 | 1000 | 0.1413 | 0.9420 | |
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| 0.1309 | 1.0850 | 1200 | 0.1474 | 0.9517 | |
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| 0.1008 | 1.2658 | 1400 | 0.1914 | 0.9420 | |
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| 0.0793 | 1.4467 | 1600 | 0.1557 | 0.9441 | |
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| 0.0804 | 1.6275 | 1800 | 0.2301 | 0.9313 | |
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| 0.0814 | 1.8083 | 2000 | 0.1039 | 0.9581 | |
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| 0.0446 | 1.9892 | 2200 | 0.1124 | 0.9635 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.2 |
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- Tokenizers 0.19.1 |
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