sathwika01/hate-speech-classifier

Hate Speech Classifier — Fine-tuned DistilBERT

Model Description

A DistilBERT model fine-tuned for binary hate speech detection on the TweetEval hate speech dataset. Classifies text as hate (1) or non-hate (0).

• Model type: Text Classification (DistilBERT)
• Base model: distilbert-base-uncased
• Language: English
• Developed by: Sathwika Raj Bandaru

Training Details

• Dataset: cardiffnlp/tweet_eval (hate subset) — 9,000 train / 1,000 validation / 2,970 test
• Epochs: 3
• Batch size: 16
• Max sequence length: 128

Evaluation Results

Split	F1 (weighted)
Validation	0.771
Test	0.376

How to Use

from transformers import pipeline
classifier = pipeline("text-classification", 
                       model="sathwika01/hate-speech-classifier")
classifier("This is an example text")

Intended Use

Research and educational purposes — detecting hateful content in social media text.