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--- |
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license: apache-2.0 |
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base_model: google/vit-base-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-base-patch16-224-Diastarallclasses |
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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-base-patch16-224-Diastarallclasses |
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0345 |
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- Accuracy: 0.9811 |
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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: 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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| 0.2142 | 1.0 | 459 | 0.0876 | 0.9643 | |
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| 0.1826 | 2.0 | 918 | 0.0658 | 0.9685 | |
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| 0.1469 | 3.0 | 1377 | 0.0527 | 0.9721 | |
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| 0.1637 | 4.0 | 1836 | 0.0463 | 0.9737 | |
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| 0.111 | 5.0 | 2295 | 0.0476 | 0.9748 | |
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| 0.1467 | 6.0 | 2754 | 0.0393 | 0.9777 | |
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| 0.1284 | 7.0 | 3213 | 0.0382 | 0.9787 | |
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| 0.1025 | 8.0 | 3672 | 0.0396 | 0.9777 | |
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| 0.1301 | 9.0 | 4131 | 0.0378 | 0.9782 | |
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| 0.0829 | 10.0 | 4590 | 0.0345 | 0.9811 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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