  Memes are one of the most ubiquitous forms of social media communication. The
study and processing of memes, which are intrinsically multimedia, is a popular
topic right now. The study presented in this research is based on the Memotion
dataset, which involves categorising memes based on irony, comedy, motivation,
and overall-sentiment. Three separate innovative transformer-based techniques
have been developed, and their outcomes have been thoroughly reviewed.The best
algorithm achieved a macro F1 score of 0.633 for humour classification, 0.55
for motivation classification, 0.61 for sarcasm classification, and 0.575 for
overall sentiment of the meme out of all our techniques.
