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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 3.111 https://api.wandb.ai/links/stephenge/cc9sewxe
Joe Li 3.19406 Validation loss curve
Herman Brunborg 3.195 https://api.wandb.ai/links/brunborg-cs336/ei5cjuuw
Tejas Narayanan 3.25 https://api.wandb.ai/links/tejas-narayanan/0wzu02xv
Puheng Li 3.268 https://api.wandb.ai/links/puhengli-stanford-university/s1cokosj
Christine Ye 3.283 https://api.wandb.ai/links/christineye/dhqwbfqa
I-han Lai 3.29 https://wandb.ai/ihan-lai0924-stanford-university/cs336_hw1/reports/owt-validation-loss-25-04-18-01-16-13---VmlldzoxMjM1MjYwNA
Pinlin [Calvin] Xu 3.29688 https://api.wandb.ai/links/pinlinxu-lab/rv9m2oqq
Suze van Adrichem 3.3134 https://api.wandb.ai/links/suzevana/nfzefh73
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
Christopher Chou 3.41 https://api.wandb.ai/links/babychousr-stanford-university/ed9fu89s
Harshvardhan Agarwal 3.42 https://api.wandb.ai/links/tokenization/dvezrvbp
Ken Liu 3.549 https://api.wandb.ai/links/kenziyuliu/58aaug9d
Radostin Cholakov 3.55 https://api.wandb.ai/links/radi-cho/mrr13237
Sally Zhu 3.55 https://api.wandb.ai/links/sallyzhu-stanford-university/s6sd95zh
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
Adam Zhao 3.58 https://api.wandb.ai/links/zhao1adam-stanford-university/5zgjjs1h
Josiah Wong 3.61 Validation loss curve
orrzohar 3.61 https://api.wandb.ai/links/marvl/xpyqen6p
Prateek Varshney 3.62 https://api.wandb.ai/links/stanfordcs/jlkmfbgj
Varun Desai 3.63 https://api.wandb.ai/links/vdesai10/all5y62k
Shiny Weng 3.67 https://api.wandb.ai/links/shinyweng-stanford-university/xt471xol
Angela Liu 3.75 https://api.wandb.ai/links/aliu917/fdx2pwqa
Herumb Shandilya 3.76 https://wandb.ai/krypticmouse/cs336-basics/runs/1zl172ay?nw=nwuserkrypticmouse
Hongyue Li 3.79 Validation loss curve
Ryan Zhao 3.84 https://api.wandb.ai/links/knightasterial-stanforduniversity/j7z9j001
Harry Shin 3.85 https://api.wandb.ai/links/dh2shin2-stanford-university/pfknvdyd
Arya Bakhtiar 4.00 https://drive.google.com/file/d/1nKmlqy1UJ6ZlmWjhZe-jTTN6h4Vn2vZK/view?usp=drive_link

| naive baseline | 5.00 | | Verified |

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