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Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge. https://arxiv.org/abs/2012.12975

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why we could use mmf_run to run the project? what is th main function of the project?

!mmf_run config="projects/visual_bert/configs/hateful_memes/from_coco.yaml" \ model="visual_bert" \ dataset=hateful_memes \ run_type=train_val \ checkpoint.max_to_keep=1 \ checkpoint.resume_zoo=visual_bert.pretrained.cc.small_fifty_pc \ training.tensorboard=True \ training.checkpoint_interval=50 \ training.evaluation_interval=50 \ training.max_updates=3000 \ training.log_interval=100 \ dataset_config.hateful_memes.max_features=120 \ dataset_config.hateful_memes.annotations.train[0]=$train_dir \ dataset_config.hateful_memes.annotations.val[0]=$dev_unseen \ dataset_config.hateful_memes.annotations.test[0]=$test_unseen...

I am getting an error when trying to finetune VisualBERT pretrained model on Hateful Meme Dataset. Not sure why it is looking for dev.jsonl when there is no such jsonl...

Hi, can you please help me in how i can use my dataset as input to your model. my dataset consist of a folder where all the image is stored...

ERROR: Could not build wheels for pycocotools, tokenizers, which is required to install pyproject.toml-based projects