gpt2-finetuned

This repository contains a modular implementation for instruction fine-tuning a GPT-2 model (specifically GPT-2 Medium with 355M parameters) using a custom instruction dataset in the Alpaca format.

Solution for SemEval-2025 Task 9: The Food Hazard Detection Challenge. Utilized machine learning, fine-tuned LLMs (GPT-2, LLaMA, Flan-T5-XL), and ensemble learning to classify food hazards and detect specific products and hazards from unstructured text.

A repository for GPT-2 Finetuning with custom datas

Fine tune (with SFT-mode) and evaluate GPT2 model on facebook's bAbi tasks.

A procrastination beater app which reminds you from the ai generated satirical network