🧠 Toxicity_model_RoBERTa-base-bne– Spanish Toxicity Classifier Multiclass (Fine-tuned)

📌 Model Description

This model is a fine-tuned version of RoBERTa-base-bne, specifically trained to classify the toxicity level of Spanish-language user comments on news articles. It distinguishes between three categories:

• Non-toxic
• Slightly toxic
• Toxic

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📂 Training Data

The model was fine-tuned on the SocialTOX dataset, a collection of Spanish-language comments annotated for varying levels of toxicity. These comments come from news platforms and represent real-world scenarios of online discourse. In this case, a multiclass classifier was developed.

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Training hyperparameters

• epochs: 7
• learning_rate: 1.51E-06
• Adam_epsilon: 2.80E-08
• weight_decay: 3.88E-12
• batch_size: 16
• max_seq_length: 512