Fine-tuning a pre-trained model can seem daunting, but fear not! In this guide, I will walk you through the process of fine-tuning the BERT-tiny model using the M-FAC optimizer on the SST-2 dataset. Let's dive in! What is M-FAC? M-FAC, or Matrix-Free Approximations of...
A Guide to Fine-Tuning GPT-2 with TaskMaster Datasets
In the world of artificial intelligence, fine-tuning pre-trained models can unlock remarkable capabilities tailored to specific tasks. In this article, we will delve into how to fine-tune the GPT-2 medium model using the TaskMaster1, TaskMaster2, and TaskMaster3...
How to Run the T5 Model Fine-tuned on Spider for Text2SQL Tasks
Welcome to the future of artificial intelligence in database queries! In this article, we'll explore how to effectively utilize the T5 model fine-tuned on the Spider dataset, enriched with schema serialization for improved context understanding. If you've ever wanted...
How to Fine-Tune the GPT-2 Medium Model on MultiWOZ21
Fine-tuning a pre-trained model can elevate your AI application to new heights. In this article, we'll walk you through the process of fine-tuning the GPT-2 Medium model using the MultiWOZ21 dataset. If you've been curious about enhancing your natural language...
Multilingual Joint Fine-tuning for Identifying Trolling, Aggression, and Cyberbullying
In an age driven by online communication, understanding user behavior has become crucial. This guide will walk you through implementing multilingual joint fine-tuning of transformer models that identify various forms of online misconduct, such as trolling, aggression,...
Automatic Diacritics Restoration for the Yorùbá Language with mT5_base_yoruba_adr
Welcome to the world of natural language processing, where we explore the capabilities of models that can understand and enhance human language. In this article, we will dive deep into the mT5_base_yoruba_adr model, a remarkable tool for automatic diacritics...
How to Use the Pre-trained BERT Model for MNLI Tasks
If you are venturing into Natural Language Processing (NLP), you might have heard about BERT (Bidirectional Encoder Representations from Transformers), a revolutionary model that has significantly improved the performance of various NLP tasks. In this guide, we will...
How to Train Your Own Random RoBERTa Mini Model
Welcome to the fascinating world of natural language processing! In this guide, we’ll walk through how to utilize the random-roberta-mini, an unpretrained version of a mini RoBERTa model that can truly spark your creativity and exploration. Understanding the Random...
How to Transform Informal Text into Formal Style Using AI
The evolution of language styles is fascinating, and with the help of artificial intelligence, we can bridge the gap between informal and formal writing. This tutorial will guide you through the process of using the `BigSalmon Informal to Formal Dataset` for text...









