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Me dumb, thought there are only seven labels but it turns out there are 8 labels (index 0 to 7)

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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)
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  on the [FastJobs/Visual_Emotional_Analysis](https://huggingface.co/datasets/FastJobs/Visual_Emotional_Analysis) dataset.
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- In theory, the accuracy for a random guess on this dataset is 0.1429.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.0511
 
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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)
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  on the [FastJobs/Visual_Emotional_Analysis](https://huggingface.co/datasets/FastJobs/Visual_Emotional_Analysis) dataset.
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+ In theory, the accuracy for a random guess on this dataset is 0.125 (8 labels and you need to choose one).
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  It achieves the following results on the evaluation set:
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  - Loss: 1.0511