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Distilroberta for toxic comment detection

See my GitHub repo toxic-comment-server

The model was trained from DistilRoberta on Kaggle Toxic Comments with the BCEWithLogits loss for Multi-Label prediction. Thus, please use the sigmoid activation on the logits (not made to use the softmax output, e.g. like the HF widget).

Evaluation

F1 scores:

  toxic: 0.72
  severe_toxic: 0.38
  obscene: 0.72
  threat: 0.52
  insult: 0.69
  identity_hate: 0.60

  Macro-F1: 0.61

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This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.