cointegrated
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Update README.md
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README.md
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@@ -60,7 +60,7 @@ print(text2toxicity(['я люблю нигеров', 'я люблю африка
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## Training
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The model has been
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```
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non-toxic : 0.9909
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insult : 0.9882
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## Training
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The model has been trained on the joint dataset of [OK ML Cup](https://cups.mail.ru/ru/tasks/1048) and [Babakov et.al.](https://arxiv.org/abs/2103.05345) with `Adam` optimizer, learning rate of `1e-5`, and batch size of `128` for `5` epochs. The data was not filtered in any way. A text was considered inappropriate if its inappropritateness score was higher than 0.2. The per-label ROC AUC on the dev set is:
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```
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non-toxic : 0.9909
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insult : 0.9882
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