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.
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 data pipeline 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. 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
| Name | Validation Loss | Link | Verification status (leave empty) |
|---|---|---|---|
| Stephen Ge | 3.24 | https://api.wandb.ai/links/stephenge/w21z5rh1 | |
| Prateek Varshney | 3.26 | Wandb | |
| Mehmet Hamza Erol | 3.3113 | Wandb | |
| Harry Shin | 3.472 | Wandb | |
| Varun Desai | 3.58 | https://api.wandb.ai/links/vdesai10/ekdr2kg7 | |
| Karthik Dharmarajan | 3.7463 | Wandb | |
| Jack Hsieh | 3.7464 | Wandb | |
| naive baseline | 4.00 | Verified |