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Проект с хакатона 14 апреля по определению токсичных комментариев.

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Toxic detection (ruBert)

Toxic comments are a serious problem on many social media platforms. One of the topics of the April 14 hackathon from Tinkoff was dedicated to this problem.

We proposed to use the pretrained Rubert model with two fully connected layers for classification. Macro Average score f1 showed 0.76. This is a good result for such a heavy dataset.

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Проект с хакатона 14 апреля по определению токсичных комментариев.

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