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restore single-file training guidance
Co-Authored-By: PI[openai-codex] <288921227+claudypoo@users.noreply.github.com>
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PI[openai-codex]
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@@ -64,9 +64,8 @@ separate bugs and weird correlational measurements, and have nothing to show for
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the training script we watch it get better, we reuse the same code, we understand it better, and
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we squash the bugs. - wassname
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The training entry point (often `train.py`) owns the readable narrative. Keep the novel train
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loop, forward pass, and loss linear, with tensor shapes at function boundaries; put ordinary
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hackable support code in short modules such as `data.py`, `config.py`, and `run.py`.
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`train.py`. One file. The novel part is written as a readable narrative with tensor shapes in
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comments, so a reviewer can follow it top to bottom without opening other files.
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Each long run owns `outputs/<date>_<slug>_<seed>/`: resolved config, commit and argv provenance,
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`run.md`, rectangular metrics, ragged demos/generations, and checkpoints. A detached reader must
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