Some Techniques To Make Your PyTorch Models Train (Much) Faster
Read OriginalThis article demonstrates how to significantly accelerate PyTorch model training by wrapping models in PyTorch Lightning's LightningModule and using the Trainer class. It shows a practical example of fine-tuning a DistilBERT model on the IMDB movie review dataset, reducing training time from 22.53 minutes to just 2.75 minutes while preserving model accuracy - an 8x performance improvement.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
Introducing GPT-5.1 for developers
Simon Willison
•
6 votes
2
A simple explanation of the big idea behind public key cryptography
Richard Gendal Brown
•
1 votes
3
Google Antigravity Exfiltrates Data
Simon Willison
•
1 votes
4
5
Fix “This video format is not supported” on YouTube TV
David Walsh
•
1 votes
6
Tooltip Components Should Not Exist
TkDodo Dominik Dorfmeister
•
1 votes
7
llm-anthropic 0.22
Simon Willison
•
1 votes
8
GPT-5.1 Instant and GPT-5.1 Thinking System Card Addendum
Simon Willison
•
1 votes
9
Nano Banana can be prompt engineered for extremely nuanced AI image generation
Simon Willison
•
1 votes
10
Hire Me in Japan
Dan Abramov
•
1 votes