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SotA/Natural Language Processing/Text Classification/Civil Comments

Text Classification on Civil Comments

Metric: GMB BPSN (higher is better)

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#Model↕GMB BPSN▼Extra DataPaperDate↕Code
1RoBERTa Focal Loss0.901NoA benchmark for toxic comment classification on ...2023-01-26Code
2AlBERT0.8982NoA benchmark for toxic comment classification on ...2023-01-26Code
3BERTweet0.8945NoA benchmark for toxic comment classification on ...2023-01-26Code
4HateBERT0.8915NoA benchmark for toxic comment classification on ...2023-01-26Code
5RoBERTa BCE0.8901NoA benchmark for toxic comment classification on ...2023-01-26Code
6XLM RoBERTa0.8859NoA benchmark for toxic comment classification on ...2023-01-26Code
7XLNet0.8834NoA benchmark for toxic comment classification on ...2023-01-26Code
8DistilBERT0.874NoA benchmark for toxic comment classification on ...2023-01-26Code
9BiGRU0.8616NoA benchmark for toxic comment classification on ...2023-01-26Code
10Unfreeze Glove ResNet 440.8493NoA benchmark for toxic comment classification on ...2023-01-26Code
11Unfreeze Glove ResNet 560.8445NoA benchmark for toxic comment classification on ...2023-01-26Code
12Compact Convolutional Transformer (CCT)0.8307NoA benchmark for toxic comment classification on ...2023-01-26Code
13Freeze Glove ResNet 440.7876NoA benchmark for toxic comment classification on ...2023-01-26Code