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README.md
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metrics:
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model-index:
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results:
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name: Image Classification
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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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#
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This model is a fine-tuned
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It achieves the following results on the evaluation set:
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- Loss: 0.5922
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- Accuracy: 0.7266
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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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metrics:
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- accuracy
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model-index:
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- name: vit-mobilenet-beans-224
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results:
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- task:
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name: Image Classification
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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 distilled to MobileNet
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This model is a distilled model, where teacher model is [merve/beans-vit-224](https://huggingface.co/merve/beans-vit-224), fine-tuned [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
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Student model is randomly initialized MobileNetV2.
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It achieves the following results on the evaluation set:
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- Loss: 0.5922
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- Accuracy: 0.7266
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## Training procedure
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