gplsi/Toxicity_model

🧠 ToxicitymodelRoBERTa-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

📂 Training Data

The model was fine-tuned on the [SocialTOX dataset](https://huggingface.co/datasets/gplsi/SocialTOX), 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.

Training hyperparameters

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