gplsi/Toxicity_model_binary

🧠 Toxicity_model_RoBERTa-base-bne– Spanish Toxicity Classifier Binary (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 two categories:

• Non-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 Binary classifier was developed, where the classes \textit{Slightly toxic} and \textit{Toxic} were merged into a single \textit{Toxic} category.

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Training hyperparameters

• epochs: 10
• learning_rate: 2.45e-6
• beta1: 0.9
• beta2: 0.95
• Adam_epsilon: 1.00e-8
• weight_decay: 0
• batch_size: 16
• max_seq_length: 512