---
language:
- en
- hi
license: apache-2.0
tags:
- hate-speech-detection
- reddit
- xlm-roberta
- hindi
- english
datasets:
- HASOC2019
metrics:
- accuracy
- f1
model-index:
- name: reddit-hate-speech-detector
  results:
  - task:
      type: text-classification
    metrics:
    - type: accuracy
      value: 0.8293
    - type: f1
      value: 0.8278
---

# Reddit Hate Speech Detector (Hindi + English)

This model detects hate speech in Reddit comments for both Hindi and English languages.

## Model Description

- **Base Model:** XLM-RoBERTa
- **Languages:** Hindi, English
- **Task:** Multi-task classification (hate speech detection + type + target)
- **Accuracy:** 82.93%
- **F1 Score:** 0.8278

## Intended Use

This model is designed for:
- Content moderation on Reddit
- Automated hate speech detection
- Research purposes

⚠️ **Important:** This model should assist human moderators, not replace them.

## Usage

```python
import torch
from transformers import XLMRobertaTokenizer

# Load tokenizer
tokenizer = XLMRobertaTokenizer.from_pretrained('xlm-roberta-base')

# Your model loading code here
# (See inference script)
```

## Training Data

- HASOC 2019 Hindi Dataset
- HASOC 2019 English Dataset
- Combined training with class balancing

## Limitations

- May have biases present in training data
- Requires context for accurate detection
- Cultural nuances may not be fully captured

## Ethical Considerations

- Should be used transparently
- Allow user appeals
- Regular monitoring for fairness
- Consider cultural context