abhisu30/transformer-hackathon-leaderboard
๐ Transformer Hackathon Leaderboard Build Your Own GPT โข Train โข Compete โข Win! ๐ Current Standings Lower perplexity = better model performance Rank Name Team Perplexity โฌ๏ธ Loss Tokens/sec Timestamp ๐ฅ Kay sep kay 1.9439 0.6647 67774 2026-02-07 21:29 ๐ฅ Praneeth Solo 1.9832 0.6847 91551 2026-02-07 21:35 ๐ฅ James Faul, Vatsala BA 1.9970 0.6917 149140 2026-02-07 20:18 4 ImageBear Solo 1.9983 0.6923 67189 2026-02-07 20:10 5 Matt O Solo 2.0216โฆ See the full description on the dataset page: https://huggingface.co/datasets/abhisu30/transformer-hackathon-leaderboard.
๐ Transformer Hackathon Leaderboard
Build Your Own GPT โข Train โข Compete โข Win!
๐ Current Standings
Lower perplexity = better model performance
๐ฏ Competition Categories
- Best Perplexity: Lowest perplexity score wins! ๐
- Best Efficiency: Highest tokens/second during training โก
- Most Creative: Best generated text samples ๐จ
๐ How to Participate
# Clone the repository
git clone https://github.com/abhishekadile/Transformer_Repo-
cd Transformer_Repo-
# Install dependencies
pip install -r requirements.txt
# Run the hackathon pipeline
python run_hackathon.pyThe script will:
- Download the TinyStories dataset
- Train your model for 45 minutes
- Evaluate performance
- Submit to this leaderboard!
๐ Leaderboard Schema
name: Participant nameteam: Team name (optional)perplexity: Model perplexity - lower is betterloss: Final validation cross-entropy losstokens_per_sec: Training throughputtimestamp: Submission time
๐ง Optimization Tips
- ๐ Enable mixed precision:
--use-amp - ๐ฆ Increase batch size if GPU allows
- ๐ Try different learning rates
- ๐ง Experiment with model size in
config.py
๐ Resources
Good luck and have fun! ๐
