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update model card README.md
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README.md
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---
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license: apache-2.0
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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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args: default
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metrics:
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# deit-base-mri
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This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.0657
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- Accuracy: 0.9901
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---
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license: apache-2.0
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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: mriDataSet
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type: imagefolder
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args: default
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metrics:
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# deit-base-mri
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This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on the mriDataSet dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0657
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- Accuracy: 0.9901
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