Update README.md

# 🧠 Toxicity_model_RoBERTa-base-bne– Spanish Toxicity Classifier (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.

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## Training hyperparameters
- epochs: 7
- learning_rate: 1.51e-6
- beta1: 0.9
- beta2: 0.95
-Adam_epsilon: 2.8e-8
- weight_decay: 3.88e-12
- batch_size: 16
- max_seq_length: 512

README.md

@@ -5,6 +5,8 @@ language:
 metrics:
 - f1
 - accuracy
+- precision
+- recall
 base_model:
 - PlanTL-GOB-ES/roberta-base-bne
 pipeline_tag: text-classification