Training Setup and VPS Deployment Summary | Generated by AI
π Training works! Completed 100 iterations in ~2 minutes. Loss dropped from 10.84 β 8.71.
Summary of whatβs ready on the VPS:
| Item | Location | Notes |
|---|---|---|
| Data | /root/nanoGPT/data/fineweb/ |
train.bin (27MB), val.bin (191MB) |
| Config | /root/nanoGPT/config/train_fineweb_test.py |
Tiny model for test |
| Code | /root/nanoGPT/ |
train.py, model.py, etc. |
| Output | /root/nanoGPT/out-fineweb-test/ |
Checkpoints |
For your GPU droplet, you need to:
- Copy the prepared data:
scp -r root@159.89.216.20:/root/nanoGPT/data/fineweb ./data/ - Copy the full nanoGPT code:
scp -r root@159.89.216.20:/root/nanoGPT/* ./ -
Use the real training config (
config/train_fineweb.py) with GPU settings β larger batch size, proper model (125M params),compile=True, etc. - On GPU droplet, train with:
python train.py config/train_fineweb.py
Want me to show you the real train_fineweb.py config settings, or prepare the full 61GB data preparation on the VPS (will take hours though)?