The Hateful Memes Challenge:Detecting Hate Speech in Multimodal Memes
Table 1: Model performance.
['[BOLD] Type', '[BOLD] Model', '[BOLD] Validation Acc.', '[BOLD] Validation AUROC', '[BOLD] Test Acc.', '[BOLD] Test AUROC']
We observe that the text-only classifier performs slightly better than the vision-only classifier. Since the test set is balanced, the random and majority-class baselines lie at 50 AUROC exactly, which gets only marginally outperformed by the visual models.