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[ { "name": "Abhi", "team": "BlueBird", "perplexity": 2.0494, "loss": 0.717531, "tokens_per_sec": 0, "timestamp": "2026-02-07T07:43:45.979417", "model_config": null, "notes": null }, { "name": "Abhi_1", "team": "Redbird", "perplexity": 2.0494, "loss": 0.717531, "tokens_per_sec": 0, "timestamp": "2026-02-07T07:51:49.531366", "model_config": { "total_steps": 0, "total_tokens": 0 }, "notes": null }, { "name": "TestUser", "team": "TestTeam", "perplexity": 99.99, "loss": 4.5, "tokens_per_sec": 1000, "timestamp": "2026-02-07T08:02:02.691522", "model_config": null, "notes": null }, { "name": "TestUser", "team": "TestTeam", "perplexity": 99.99, "loss": 4.5, "tokens_per_sec": 1000, "timestamp": "2026-02-07T08:03:31.839357", "model_config": null, "notes": null }, { "name": "Hedgehog", "team": "Solo", "perplexity": 1337, "loss": 2.345678, "tokens_per_sec": 1875.2, "timestamp": "2026-02-07T19:34:28.364108", "model_config": null, "notes": null }, { "name": "DSM", "team": "Solo", "perplexity": 2.0693, "loss": 0.727215, "tokens_per_sec": 67372.9, "timestamp": "2026-02-07T19:46:46.087774", "model_config": { "total_steps": 65606, "total_tokens": 134361088 }, "notes": null }, { "name": "ImageBear", "team": "Solo", "perplexity": 1.9983, "loss": 0.692276, "tokens_per_sec": 67188.8, "timestamp": "2026-02-07T20:10:45.246798", "model_config": { "total_steps": 80188, "total_tokens": 164225024 }, "notes": null }, { "name": "MacBookPro 5min", "team": "Solo", "perplexity": 4.7225, "loss": 1.552345, "tokens_per_sec": 4055.3, "timestamp": "2026-02-07T20:13:53.064588", "model_config": { "total_steps": 536, "total_tokens": 1097728 }, "notes": null }, { "name": "James Faul, Vatsala", "team": "BA", "perplexity": 1.997, "loss": 0.691671, "tokens_per_sec": 149139.8, "timestamp": "2026-02-07T20:18:20.196824", "model_config": { "total_steps": 43289, "total_tokens": 88655872 }, "notes": null }, { "name": "H100 5min", "team": "Solo", "perplexity": 2.2233, "loss": 0.798976, "tokens_per_sec": 143639.2, "timestamp": "2026-02-07T20:18:33.730999", "model_config": { "total_steps": 17813, "total_tokens": 36481024 }, "notes": null }, { "name": "Scott M", "team": "Solo", "perplexity": 2.9152, "loss": 1.069947, "tokens_per_sec": 67889.5, "timestamp": "2026-02-07T20:23:48.262796", "model_config": { "total_steps": 3753, "total_tokens": 7686144 }, "notes": null }, { "name": "Kara", "team": "Conrads", "perplexity": 2.3491, "loss": 0.854018, "tokens_per_sec": 66173.8, "timestamp": "2026-02-07T20:57:08.545669", "model_config": { "total_steps": 9500, "total_tokens": 19456000 }, "notes": null }, { "name": "H100 5min D1024", "team": "Solo", "perplexity": 2.1888, "loss": 0.783333, "tokens_per_sec": 89295.9, "timestamp": "2026-02-07T21:00:04.086601", "model_config": { "total_steps": 8924, "total_tokens": 18276352 }, "notes": null }, { "name": "Matt O", "team": "Solo", "perplexity": 2.0216, "loss": 0.703878, "tokens_per_sec": 64285.9, "timestamp": "2026-02-07T21:05:51.586984", "model_config": { "total_steps": 76373, "total_tokens": 156411904 }, "notes": null }, { "name": "Maheshwari", "team": "Solo", "perplexity": 2.0674, "loss": 0.726282, "tokens_per_sec": 66315.4, "timestamp": "2026-02-07T21:08:05.765002", "model_config": { "total_steps": 63886, "total_tokens": 130838528 }, "notes": null }, { "name": "MacbookPro 5min 2layer", "team": "Solo", "perplexity": 3.4363, "loss": 1.23439, "tokens_per_sec": 11940.4, "timestamp": "2026-02-07T21:09:18.579509", "model_config": { "total_steps": 1586, "total_tokens": 3248128 }, "notes": null }, { "name": "weldon", "team": "Solo", "perplexity": 2.028, "loss": 0.707045, "tokens_per_sec": 65689.1, "timestamp": "2026-02-07T21:12:42.319376", "model_config": { "total_steps": 75610, "total_tokens": 154849280 }, "notes": null }, { "name": "Kay sep", "team": "kay", "perplexity": 1.9439, "loss": 0.664707, "tokens_per_sec": 67774.2, "timestamp": "2026-02-07T21:29:10.650199", "model_config": { "total_steps": 88144, "total_tokens": 180518912 }, "notes": null }, { "name": "Mark Pedigo", "team": "Solo", "perplexity": 2.0546, "loss": 0.720068, "tokens_per_sec": 65582.2, "timestamp": "2026-02-07T21:32:25.193150", "model_config": { "total_steps": 69896, "total_tokens": 143147008 }, "notes": null }, { "name": "Allen", "team": "Solo", "perplexity": 2.0531, "loss": 0.719331, "tokens_per_sec": 65445.6, "timestamp": "2026-02-07T21:35:05.652539", "model_config": { "total_steps": 69500, "total_tokens": 142336000 }, "notes": null }, { "name": "DSM", "team": "Solo", "perplexity": 2.0661, "loss": 0.725649, "tokens_per_sec": 63707.1, "timestamp": "2026-02-07T21:35:06.863853", "model_config": { "total_steps": 64500, "total_tokens": 132096000 }, "notes": null }, { "name": "Praneeth", "team": "Solo", "perplexity": 1.9832, "loss": 0.684734, "tokens_per_sec": 91551.2, "timestamp": "2026-02-07T21:35:09.614915", "model_config": { "total_steps": 134581, "total_tokens": 275621888 }, "notes": null }, { "name": "Abhi", "team": "Red Team", "perplexity": 2.0571, "loss": 0.721285, "tokens_per_sec": 64681.5, "timestamp": "2026-02-07T21:35:26.376174", "model_config": { "total_steps": 69257, "total_tokens": 141838336 }, "notes": null }, { "name": "Nick", "team": "Solo", "perplexity": 2.0281, "loss": 0.707075, "tokens_per_sec": 63951.2, "timestamp": "2026-02-07T21:38:24.916205", "model_config": { "total_steps": 75424, "total_tokens": 154468352 }, "notes": null }, { "name": "Jack G. Conrad", "team": "Solo", "perplexity": 2.0476, "loss": 0.71665, "tokens_per_sec": 66416.8, "timestamp": "2026-02-07T21:39:50.632686", "model_config": { "total_steps": 54195, "total_tokens": 110991360 }, "notes": null }, { "name": "Megumi", "team": "Solo", "perplexity": 2.0304, "loss": 0.708224, "tokens_per_sec": 65614.4, "timestamp": "2026-02-07T21:40:02.604917", "model_config": { "total_steps": 74500, "total_tokens": 152576000 }, "notes": null }, { "name": "Glove", "team": "Solo", "perplexity": 988.9452, "loss": 6.896639, "tokens_per_sec": 12241.6, "timestamp": "2026-02-07T21:55:38.608983", "model_config": { "total_steps": 112, "total_tokens": 229376 }, "notes": null }, { "name": "Joe", "team": "Solo", "perplexity": 2.0031, "loss": 0.694678, "tokens_per_sec": 65905, "timestamp": "2026-02-07T22:30:00.229488", "model_config": { "total_steps": 80034, "total_tokens": 163909632 }, "notes": null }, { "name": "Nick", "team": "Solo", "perplexity": 1.9918, "loss": 0.689058, "tokens_per_sec": 66211.6, "timestamp": "2026-02-07T23:59:38.164220", "model_config": { "total_steps": 80773, "total_tokens": 165423104 }, "notes": null } ]
2026-02-07T23:59:38.537029
1.0
{ "name": "Participant name", "team": "Team name (optional)", "perplexity": "Model perplexity - lower is better", "loss": "Final validation cross-entropy loss", "tokens_per_sec": "Training throughput", "timestamp": "ISO 8601 submission timestamp", "model_config": "Optional model configuration details" }
{ "name": "Transformer Hackathon", "training_time_minutes": 45, "dataset": "TinyStories", "github": "https://github.com/abhishekadile/Transformer_Repo-" }
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

🏆 Transformer Hackathon Leaderboard

Build Your Own GPT • Train • Compete • Win!

📊 Current Standings

Lower perplexity = better model performance

Rank Name Team Perplexity ⬇️ Loss Tokens/sec Timestamp
🥇 Kay sep kay 1.9439 0.6647 67774 2026-02-07 21:29
🥈 Praneeth Solo 1.9832 0.6847 91551 2026-02-07 21:35
🥉 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 2.0216 0.7039 64286 2026-02-07 21:05
6 weldon Solo 2.0280 0.7070 65689 2026-02-07 21:12
7 Nick Solo 2.0281 0.7071 63951 2026-02-07 21:38
8 Megumi Solo 2.0304 0.7082 65614 2026-02-07 21:40
9 Jack G. Conrad Solo 2.0476 0.7167 66417 2026-02-07 21:39
10 Abhi BlueBird 2.0494 0.7175 0 2026-02-07 07:43
11 Abhi_1 Redbird 2.0494 0.7175 0 2026-02-07 07:51
12 Allen Solo 2.0531 0.7193 65446 2026-02-07 21:35
13 Mark Pedigo Solo 2.0546 0.7201 65582 2026-02-07 21:32
14 Abhi Red Team 2.0571 0.7213 64682 2026-02-07 21:35
15 DSM Solo 2.0661 0.7256 63707 2026-02-07 21:35
16 Maheshwari Solo 2.0674 0.7263 66315 2026-02-07 21:08
17 DSM Solo 2.0693 0.7272 67373 2026-02-07 19:46
18 H100 5min D1024 Solo 2.1888 0.7833 89296 2026-02-07 21:00
19 H100 5min Solo 2.2233 0.7990 143639 2026-02-07 20:18
20 Kara Conrads 2.3491 0.8540 66174 2026-02-07 20:57
21 Scott M Solo 2.9152 1.0699 67890 2026-02-07 20:23
22 MacbookPro 5min 2layer Solo 3.4363 1.2344 11940 2026-02-07 21:09
23 MacBookPro 5min Solo 4.7225 1.5523 4055 2026-02-07 20:13
24 TestUser TestTeam 99.9900 4.5000 1000 2026-02-07 08:02
25 TestUser TestTeam 99.9900 4.5000 1000 2026-02-07 08:03
26 Hedgehog Solo 1337.0000 2.3457 1875 2026-02-07 19:34

🎯 Competition Categories

  • Best Perplexity: Lowest perplexity score wins! 🏆
  • Best Efficiency: Highest tokens/second during training ⚡
  • Most Creative: Best generated text samples 🎨

🚀 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.py

The script will:

  1. Download the TinyStories dataset
  2. Train your model for 45 minutes
  3. Evaluate performance
  4. Submit to this leaderboard!

📈 Leaderboard Schema

  • name: Participant name
  • team: Team name (optional)
  • perplexity: Model perplexity - lower is better
  • loss: Final validation cross-entropy loss
  • tokens_per_sec: Training throughput
  • timestamp: Submission time

🔧 Optimization Tips

  • 🚀 Enable mixed precision: --use-amp
  • 📦 Increase batch size if GPU allows
  • 📈 Try different learning rates
  • 🧠 Experiment with model size in config.py

📚 Resources

Good luck and have fun! 🎉

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Paper for abhisu30/transformer-hackathon-leaderboard