Clickbait spoiling aims at generating short texts that satisfy the curiosity induced by a clickbait post. This project is a derivative of Clickbait Challenge 2023 at SemEval 2023. This work aims to solve 2 subtasks from challenge i.e. spoiler classification (phrase, passage,multi-line) and generation. This is my final project for the course LIGN-167 (Deep Learning for Natural Language Understanding).
Check out notebook for model training/evaluation.Please check final report.
Please install required dependencies in order to run model.pkl using:
pip install -r requirements.txt
Otherwise bare minimum add these packages required for runnning code notebook:
- torch
- wandb
- transformers
- accelerate
- gradio