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README.md

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 # Llama3.2 based Hate Detection in Arabic MultiModal Memes
 
-- **Developed by:** NYUAD-ComNets
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/llama-3.2-11b-vision-instruct-unsloth-bnb-4bit
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 The rise of social media and online communication platforms has led to the spread of Arabic memes as a key form of digital expression. 
 While these contents can be humorous and informative, they are also increasingly being used to spread offensive language and hate speech.
 Consequently, there is a growing demand for precise analysis of content in Arabic meme. 
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 This work used Llama 3.2 with its vision capability to effectively identify hate content within Arabic memes.
 The evaluation is conducted using a dataset of Arabic memes proposed in the ArabicNLP MAHED 2025 challenge. 
 The results underscore the capacity of Llama 3.2-11B fine-tuned with Arabic memes, to deliver the superior performance. 
-They achieve up to 73.3% macro F1 score.
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+They achieve accuracy of 80.3% and macro F1 score of 73.3%.
 
 The proposed solutions offer a more nuanced understanding of memes for accurate and efficient Arabic content moderation systems.