Fined-tuned BERT for Toxicity Classification in Spanish
This is a fine-tuned BERT model trained using as a base model BETO, which is a BERT base-sized trained specifically for Spanish. 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.
Example of Classification
WIP
Validation Metrics
- Accuracy: 0.835
- Precision: 0.816
- Recall: 0.886
- F1-Score: 0.849
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Model tree for bgonzalezbustamante/bert-spanish-toxicity
Base model
dccuchile/bert-base-spanish-wwm-cased