roberta_toxicity_classifier
This model is trained for toxicity classification task. The dataset used for training is the merge of the English parts of the three datasets by Jigsaw (Jigsaw 2018, Jigsaw 2019, Jigsaw 2020), containing around 2 million examples. We split it into two parts and fine-tune a RoBERTa model (RoBERTa: A Robustly Optimized BERT Pretraining Approach) on it. The classifiers perform closely on the test set of the first Jigsaw...
Params
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Context
512
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Specifications
- Architecture
- RobertaForSequenceClassification
- Context length
- 512
- Vocabulary
- 50,265
- Layers / heads
- 12 / 12
- Licence
- openrail++
- First seen on the Hub
- 2022-03-02
- Training datasets
- google/jigsaw_toxicity_pred
- Added to our catalog
- 2026-07-28
Compare with any text-classification model