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@@ -6,7 +6,7 @@ datasets:
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  metrics:
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  - accuracy
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  model-index:
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- - name: resnet-mobilenet-beans
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  results:
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  - task:
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  name: Image Classification
@@ -26,24 +26,14 @@ model-index:
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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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- # resnet-mobilenet-beans
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- This model is a fine-tuned version of [](https://huggingface.co/) on the beans dataset.
 
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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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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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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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