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README.md
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- accuracy
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base_model:
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- google/vit-base-patch16-224
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- accuracy
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base_model:
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- google/vit-base-patch16-224
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---
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This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset.
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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: 32
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eval_batch_size: 32
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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: 5
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Training results
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Framework versions
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Transformers 4.24.0
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Pytorch 1.13.1+cu116
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Datasets 2.7.1
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Tokenizers 0.13.2
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