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@@ -39,18 +39,30 @@ It achieves the following results on the evaluation set:
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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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  ## 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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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/67b218c9f745d44676c938cb/zZXcIybZLvUtEKpb8Lk8u.png)
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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: