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clarification to baseline run instruction, there was some language from a previous version that wasn't fully cleaned up

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Andrej Karpathy 2026-03-08 23:16:30 +00:00
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@ -13,7 +13,7 @@ To set up a new experiment, work with the user to:
- `prepare.py` — fixed constants, data prep, tokenizer, dataloader, evaluation. Do not modify.
- `train.py` — the file you modify. Model architecture, optimizer, training loop.
4. **Verify data exists**: Check that `~/.cache/autoresearch/` contains data shards and a tokenizer. If not, tell the human to run `uv run prepare.py`.
5. **Initialize results.tsv**: Create `results.tsv` with header row and baseline entry. The baseline results are already known from the output format section below (val_bpb: 0.997900, peak_vram_mb: 45060.2). Do NOT re-run the baseline — just record it.
5. **Initialize results.tsv**: Create `results.tsv` with just the header row. The baseline will be recorded after the first run.
6. **Confirm and go**: Confirm setup looks good.
Once you get confirmation, kick off the experimentation.