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Replying to Avatar Rif'at Ahdi R

In the last few days, I have some experiments with traditional #MachineLearning algorithms for toxicity classification. Instead of using GPU, the trained model can be utilized only using CPU with fast performance (milliseconds). Good news for those who can't afford GPU.

The performance result is satisfactory and comparable to top state of the art model such as "detoxify/unbiased-small" model. This model will be included for #NostrFilterRelay module https://nostrcheck.me/media/2b67e480b7f99d2835684a8f7276d86edbe8e318ea55cf77ccfd559c5f24f645/d8a67688414deaccc639628633a2c5793cf96949dc16301e113e9678172d889a.webp next update.

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Rif'at Ahdi R 1y ago

To those who want early sneak peek 👀

https://github.com/atrifat/hate-speech-detector-api/tree/wip-train-traditional-ml

Full training code will be pushed in main branch soon.

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