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metadata
datasets:
  - HuggingFaceFW/fineweb
base_model:
  - openai-community/gpt2

NanoGPT Speedrun

Following https://github.com/KellerJordan/modded-nanogpt for fun (learning).

Run Info

baseline/

  • Run on lightning cloud, using one L40S
  • Batch size set to 32
  • VRAM usage: 26.95GB (25698MB reported in nvidia-smi)
  • 4 seconds per step, total 3200 steps
  • Checkpoint saved every 320 steps

Training loss

To experimentally check the neural scaling law:

baseline/analysis/loss_plot2.png

(Fitted line: log y = -0.11 * log x + 0.9 where x is step (0 to 3200) and y is the training loss)

Demo

Available at https://huggingface.co/spaces/lemonteaa/nanogpt-speedrun-demo

(WIP)