🛡️ LexiGuard: Misogyny, Misandry & Toxicity Detection in English and Slovak

LexiGuard is a multilingual multitask model designed to detect and classify offensive language, with a focus on misogyny, misandry, and toxicity levels in English. The model also supports Slovak, making it suitable for multilingual analysis of social media content.

It performs dual classification:

1. Category: Misogyny, Misandry, or Neutral
2. Toxicity level: Low, Medium, or High

The model is based on xlm-roberta-base and was fine-tuned on a custom dataset primarily in English, with additional annotated samples in Slovak.

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🧠 Model Overview

• Base model: xlm-roberta-base
• Tasks: Multitask classification (2 output heads)
• Primary language: English
• Secondary language: Slovak
• Use case: Detecting offensive, sexist, or toxic comments in multilingual social media

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🛠️ Usage

from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("Megyy/lexiguard")
model = AutoModelForSequenceClassification.from_pretrained("Megyy/lexiguard")

text = "Women are useless in politics."
inputs = tokenizer(text, return_tensors="pt")
outputs = model(**inputs)

# outputs.logits contains predictions for both tasks

Note: The model has two output heads:

• Head 1: Category (misogyny/misandry/neutral)
• Head 2: Toxicity (low/medium/high)

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📊 Label Definitions

Task 1 – Category Classification

• 0: Neutral
• 1: Misogyny
• 2: Misandry

Task 2 – Toxicity Prediction

• 0: Low
• 1: Medium
• 2: High

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🧪 Training Data

• Over 5,000 manually annotated comments
• Domain: Online discussions, social media, and forums
• Language distribution:
  • ~80% English
  • ~20% Slovak

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📁 Model Files

• pytorch_model.bin / model.safetensors: model weights
• config.json: model configuration
• tokenizer.json, vocab.txt, etc.: tokenizer files
• README.md: model card

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📚 Citation

If you use this model in your work, please cite:

@bachelorsthesis{majercakova2025lexiguard,
  title={LexiGuard: Offensive Language Detection in English and Slovak Social Media},
  author={Magdalena Majercakova},
  year={2025},
  note={Bachelor's thesis, TUKE},
}

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👨‍💻 Author

Developed by Magdaléna Majerčáková as part of a Bachelor's Thesis
Supervised by Ing. Zuzana Sokolová, PhD
Faculty of Electrical Engineering and Informatics, TUKE (2025)

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