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README.md
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metrics:
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- accuracy
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model-index:
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results:
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- task:
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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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#
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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:
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