Training models with a progress a bar

Training models with a progress a bar

I organize this tutorial in two parts. I will first introduce tqdm, then show an example for machine learning. For each code fragment in this article, we will import the sleep function from Python's time library as it will let us slow down the program to see the progress bar update.

tqdm is a Python library for adding progress bar. It lets you configure and display a progress bar with metrics you want to track. Its ease of use and versatility makes it the perfect choice for tracking machine learning experiments.

I organize this tutorial in two parts. I will first introduce tqdm, then show an example for machine learning. For each code fragment in this article, we will import the sleep function from Python's time library as it will let us slow down the program to see the progress bar update.

from time import sleep

Tqdm

You can install tqdm with pip install tqdm. The library comes with various iterators each dedicated to a specific use that I am going to present.

tqdm is the default iterator. It takes an iterator object as argument and displays a progress bar as it iterates over it.

progress-bar pytorch tqdm machine-learning python

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