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@@ -11,8 +11,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit-base-patch16-224-imigue
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- This model was trained from scratch on an unknown dataset.
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- It achieves the following results on the evaluation set:
 
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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