brain_tumor
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README.md
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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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datasets:
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- imagefolder
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name: Image Classification
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type: image-classification
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dataset:
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name:
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type: imagefolder
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config: default
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split: train
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# vit-base-oxford-brain-tumor
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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 the
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It achieves the following results on the evaluation set:
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- Loss: 0.5719
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- Accuracy: 0.6923
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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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- image-classification
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- generated_from_trainer
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datasets:
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- imagefolder
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name: Image Classification
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type: image-classification
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dataset:
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name: Mahadih534/brain-tumor-dataset
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type: imagefolder
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config: default
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split: train
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# vit-base-oxford-brain-tumor
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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 the Mahadih534/brain-tumor-dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5719
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- Accuracy: 0.6923
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