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ft-roberta-toxicity
bgonzalezbustamante/ft-roberta-toxicity
ft-roberta-toxicity is a text classification model from bgonzalezbustamante. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
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…
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Nov 2, 2024
- Updated
- Oct 30, 2025
- SHA
- 9ca5ef1c
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Model card
From the Hugging Face model README
Fine-tuned roBERTa for Toxicity Classification in Spanish
Overview
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
- TOXIC
Validation Metrics
- Accuracy: 0.790
- Precision: 0.920
- Recall: 0.657
- F1-score: 0.767
Intended Uses and Limitations
We suggest using bert-spanish-toxicity or ft-xlm-roberta-toxicity instead of this model.
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Languages
- es
- Created
- Nov 2, 2024
- Updated
- Oct 30, 2025