End of training
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README.md
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 1337
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- gradient_accumulation_steps:
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- total_train_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0422
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- Accuracy: 0.9833
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## Model description
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 1337
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.0941 | 1.0 | 106 | 0.0764 | 0.9708 |
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| 0.0769 | 2.0 | 212 | 0.0707 | 0.9733 |
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| 0.0505 | 2.99 | 318 | 0.0718 | 0.9675 |
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| 0.0314 | 4.0 | 425 | 0.0494 | 0.9817 |
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| 0.0274 | 4.99 | 530 | 0.0514 | 0.9817 |
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### Framework versions
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model.safetensors
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runs/Nov12_18-29-57_DESKTOP-4PF3H2T/events.out.tfevents.1699797318.DESKTOP-4PF3H2T.18136.1
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