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Update README.md

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@@ -8,11 +8,11 @@ datasets:
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  metrics:
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  - accuracy
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  model-index:
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- - name: image_classification
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  results:
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  - task:
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- name: Image Classification
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- type: image-classification
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  dataset:
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  name: imagefolder
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  type: imagefolder
@@ -28,7 +28,7 @@ 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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- # image_classification
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
 
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  metrics:
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  - accuracy
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  model-index:
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+ - name: emotion_classifier
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  results:
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  - task:
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+ name: Emotion Classifier
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+ type: emotion-classifier
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  dataset:
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  name: imagefolder
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  type: imagefolder
 
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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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+ # emotion_classifier
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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  It achieves the following results on the evaluation set: