Skip to content

krypticmouse/assignment1-basics-leaderboard

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

57 Commits
 
 
 
 

Repository files navigation

CS336 Spring 2025 Assignment 1 (Basics) Leaderboard

To submit to the leaderboard, submit a pull request that adds your results to the Markdown table below. The table should be sorted by increasing loss.

Note that your submission can run for at most 1.5 hours on an H100, and that you may only use the OpenWebText training dataset that we provide.

The top 3 submissions will receive a prize at the end of the quarter. To make this fair, we will reorder the top 5 scoring students based on our reproduced training runs. Make sure you save a snapshot of your best code so it can be reproduced by us! We will reach out to the top 5 students after results have stabilized.

In your pull request description, you should include:

  • The final validation loss that was recorded
  • A link to an associated learning curve that clearly shows a wallclock-time x-axis that is less than 1.5 hours . You may either upload an image directly to the repo (use the ./images) folder or link to a publicly-viewable plot from a service like Weights and Biases.
  • A description of what you did

OpenWebText (subsample) validation loss leaderboard

Name Validation Loss Link Verification status (leave empty)
Stephen Ge 3.238 https://api.wandb.ai/links/stephenge/blg1vv9v
Joe Li 3.29953 Validation loss curve
Chenchen Gu 3.314 https://api.wandb.ai/links/cygu/2cwahtxu
Ashish Rao 3.330 https://api.wandb.ai/links/aprao/v79845cv
Mehmet Hamza Erol 3.353 https://api.wandb.ai/links/mhamzaerol-stanford-university/hcjj4l7r
Christine Ye 3.375 https://api.wandb.ai/links/christineye/dhqwbfqa
Christopher Chou 3.41 https://api.wandb.ai/links/babychousr-stanford-university/ed9fu89s
Ayush Alag 3.56 https://api.wandb.ai/links/ayushalag1-stanford-university/z56avu3c
Kyler Wang 3.57 https://api.wandb.ai/links/kylerwang-stanford-university/5znjvf3e
Josiah Wong 3.61 Validation loss curve
Prateek Varshney 3.62 https://api.wandb.ai/links/stanfordcs/jlkmfbgj
Varun Desai 3.63 https://api.wandb.ai/links/vdesai10/all5y62k
Harshvardhan Agarwal 3.65 https://api.wandb.ai/links/tokenization/0sald7rv
Adam Zhao 3.65 https://api.wandb.ai/links/zhao1adam-stanford-university/5zgjjs1h
Shiny Weng 3.67 https://api.wandb.ai/links/shinyweng-stanford-university/xt471xol
Hongyue Li 3.79 Validation loss curve
Ryan Zhao 3.84 https://api.wandb.ai/links/knightasterial-stanforduniversity/j7z9j001
Radostin Cholakov 3.86 https://api.wandb.ai/links/radi-cho/g3mwxocl
naive baseline 5.00 Verified

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published