YoVDO

Masked Language Modelling - Retraining BERT with Hugging Face Trainer - Coding Tutorial

Offered By: rupert ai via YouTube

Tags

Natural Language Processing (NLP) Courses Machine Learning Courses BERT Courses Model Evaluation Courses Hugging Face Courses

Course Description

Overview

Learn how to retrain a masked language model using Hugging Face Trainer to improve performance on a specific dataset in this Python coding tutorial. Follow along as the instructor demonstrates loading the Microsoft Research Sentence Completion Challenge dataset, utilizing Hugging Face's dataset tools, implementing model training, and evaluating the results. Gain practical experience with transformer models and Hugging Face libraries while focusing on implementation rather than theory. Access the provided Colab notebook to code along and explore topics such as dataset preparation, model fine-tuning, and performance assessment.

Syllabus

Intro and outline:
Loading dataset
Hugging Face Dataset:
Hugging face model and training:
Evaluating the model:


Taught by

rupert ai

Related Courses

Macroeconometric Forecasting
International Monetary Fund via edX Machine Learning With Big Data
University of California, San Diego via Coursera Data Science at Scale - Capstone Project
University of Washington via Coursera Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)
The Chinese University of Hong Kong via Coursera Data Science in Action - Building a Predictive Churn Model
SAP Learning