Summary of Tiny-toxic-detector: a Compact Transformer-based Model For Toxic Content Detection, by Michiel Kamphuis
Tiny-Toxic-Detector: A compact transformer-based model for toxic content detection
by Michiel Kamphuis
First submitted to arxiv on: 29 Aug 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel transformer-based model called Tiny-toxic-detector is proposed for detecting toxic online content, which surprisingly outperforms larger models in benchmark datasets. Despite having only 2.1 million parameters, the model achieves impressive accuracy scores of 90.97% on ToxiGen and 86.98% on Jigsaw dataset, showcasing its efficiency and potential to address online toxicity. The model architecture consists of four transformer encoder layers with two attention heads, an embedding dimension of 64, and a feedforward dimension of 128. Trained on both public and private datasets, Tiny-toxic-detector demonstrates the effectiveness of task-specific models for content moderation. The paper discusses the model’s architecture, training process, performance benchmarks, and limitations, highlighting its suitability for social media monitoring and content moderation applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Tiny-toxic-detector is a new way to find bad online content that works really well! It’s like a super-smart AI detective that can figure out if something is toxic or not. And the best part? It doesn’t need a lot of computer power, which makes it perfect for using on social media and other places where you want to keep things safe and friendly. |
Keywords
» Artificial intelligence » Attention » Embedding » Encoder » Transformer
