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How to stop PSSA training when the loss blows up with Pssa

Use the loss guard flags to abort a run before a bad loss overwrites a good checkpoint.

Short answer: Build the Pssa binary from the repository; then run pssa train corpus.txt --loss-guard-high-factor 4 --loss-guard-jump-factor 8 --loss-guard-patience 3 to start training with explicit guard settings; if you resume a run, repeat the same custom guard values on the resume command, since they are runtime only. All steps.

  • Research
  • Intermediate
  • 45 minutes
  • From the README
  • Any agent

Who it is forA researcher running an unattended training job who wants to avoid losing a good checkpoint to a loss spike.

The problemA loss blow-up can silently replace a good checkpoint with a broken one during a long unattended run.

The outcomeA training run that aborts after three consecutive suspect loss groups without writing or replacing a checkpoint, plus a halt reason in the monitor.

What you need first

  • A Rust toolchain (inferred from the Rust implementation and the cargo commands in the README)
  • The pssa binary built from the Sparticle62ops/pssa repository
  • A plain UTF-8 text file to train on
  • A terminal that supports the TUI, or use --no-tui for plain logs

Steps

  1. Build the Pssa binary from the repository. (inferred, check the README)
  2. Run pssa train corpus.txt --loss-guard-high-factor 4 --loss-guard-jump-factor 8 --loss-guard-patience 3 to start training with explicit guard settings.
  3. If you resume a run, repeat the same custom guard values on the resume command, since they are runtime only.
  4. Open pssa tui to see the configured guard and any halt reason in the monitor.
  5. Keep the last good checkpoint and compare any new checkpoint before using it.

Prompt for your agent

In the Sparticle62ops/pssa repository, run `pssa train <corpus-path> --loss-guard-high-factor 4 --loss-guard-jump-factor 8 --loss-guard-patience 3`. Report whether the run finished or halted, and the halt reason if it halted. Verify that no checkpoint was replaced after a halt.

Caveat. The README says this is not a held-out validation monitor and a resumed run starts a fresh loss history, so the guard does not measure generalization.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for Sparticle62ops/pssa and "Stop PSSA training when the loss blows up"

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