Toxicity Classification
Collection
Incivility, toxicity and insults classification
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8 items
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Updated
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1
Fined-tuned roBERTa for Toxicity Classification in Spanish
This is a fine-tuned roBERTa model trained using as a base model Twitter-roBERTa base-sized for Sentiment Analysis, which was trained on ~58M tweets. The dataset for training this model is a gold standard for protest events for toxicity and incivility in Spanish.
The dataset comprises ~5M data points from three Latin American protest events: (a) protests against the coronavirus and judicial reform measures in Argentina during August 2020; (b) protests against education budget cuts in Brazil in May 2019; and (c) the social outburst in Chile stemming from protests against the underground fare hike in October 2019. We are focusing on interactions in Spanish to elaborate a gold standard for digital interactions in this language, therefore, we prioritise Argentinian and Chilean data.
Labels: NONTOXIC and TOXIC.
We suggest using bert-spanish-toxicity or ft-xlm-roberta-toxicity instead of this model.
Validation Metrics
- Accuracy: 0.790
- Precision: 0.920
- Recall: 0.657
- F1-Score: 0.767
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Model tree for bgonzalezbustamante/ft-roberta-toxicity
Base model
cardiffnlp/twitter-roberta-base-sentiment