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README.md
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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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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## Model description
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This model is a fine-tuned version of Google's vit-base-patch16-224-in21k designed to identify geological hand samples.
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## Intended uses & limitations
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Currently the VIT is fine-tuned on 10 classes:
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['Andesite', 'Basalt', 'Chalk', 'Dolomite', 'Flint', 'Gneiss', 'Granite', 'Limestone', 'Sandstone', 'Slate']
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Future iteartions of the model will feature an expanded breadth of rock categories.
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## Training and evaluation data
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The model performs relatively well on 10 classes of rocks - with some confusion between limestone and other carbonates.
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## Training procedure
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495 images of geological hand samples were selected with an 80:20 train-test/validation split.
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Classes were roughly equally represented across the 495 samples.
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### Training hyperparameters
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The following hyperparameters were used during training:
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