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# vit-base-patch16-224-imigue
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- eval_loss: 0.6450
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- eval_accuracy: 0.8112
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- eval_f1: 0.6905
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# vit-base-patch16-224-imigue
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This model is a fine-tuned [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k), on [TornikeO/imigue](https://huggingface.co/datasets/TornikeO/imigue/) micro-level emotion
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classification dataset. The evaluation performance is as follows (per-class evals are *precisions* for that particular class. F1 score is micro-averaged.):
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- eval_loss: 0.6450
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- eval_accuracy: 0.8112
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- eval_f1: 0.6905
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