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How to monitor a long PSSA training run in the terminal dashboard with Pssa

Pipe a plain training log into the TUI to watch loss, speed, and checkpoints while training runs.

Short answer: Build the Pssa binary from the repository; then create an output folder with mkdir chain before the first checkpoint is written; run pssa train data/downloaded.txt -o chain/ck01.pssa --max-tokens 200000 -e 1 --no-tui | pssa tui --chain chain to start training and open the dashboard on the piped log. All steps.

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

Who it is forA developer running a long training job on a server, notebook, or Kaggle session who wants a readable live view.

The problemRaw training output scrolls past without context, and long runs are hard to check on at a glance.

The outcomeA live dashboard showing loss, a moving average, speed, ETA, update counts, learning rate, memory occupancy, and checkpoint events.

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. Create an output folder with mkdir chain before the first checkpoint is written. (inferred, check the README)
  3. Run pssa train data/downloaded.txt -o chain/ck01.pssa --max-tokens 200000 -e 1 --no-tui | pssa tui --chain chain to start training and open the dashboard on the piped log. (inferred, check the README)
  4. Press Tab in the dashboard to reach the Kaggle launch and log monitoring page if you launched training that way.
  5. Check the checkpoint events in the monitor before you stop the run.

Prompt for your agent

In the Sparticle62ops/pssa repository, run `pssa train <corpus-path> -o chain/ck01.pssa --max-tokens 200000 -e 1 --no-tui | pssa tui --chain chain`. Report the loss, speed, and checkpoint events shown in the monitor. Verify that the file chain/ck01.pssa exists after the run.

Caveat. The README says the TUI shows piped output as a plain log passthrough when not on a terminal, so the interactive dashboard needs a real terminal.

Use this in your AI agent

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Using the Deduped MCP, get the setup steps for Sparticle62ops/pssa and "Monitor a long PSSA training run in the terminal dashboard"

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