---
title: "I am now training smol bert models on my gpu for @janitr_ai scam detection"
date: 2026-02-15
canonical: https://solmaz.io/x/2022981435619975527/
x_url: https://x.com/onusoz/status/2022981435619975527
license: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
---

I am now training smol bert models on my gpu for @janitr_ai scam detection

it's funny how I have to discover everything from scratch. like the models don't even know how to lay out performance metrics in a nice way in the terminal for a human to view and decide during experiments

it would by default bombard me with numbers that do not make visual sense. I then created a skill with common sense:

- metrics always on y-axis, candidates on x-axis
- write without zero and 2 sigfigs, .12 instead of 0.12345
- align the dots
- use asterisks to show which alternative is the best:
  0-1% difference -> considered equal
  1-5% -> *
  5-10% -> **
  10-50% -> ***
  > 50% -> ****

visualization skill is in @janitr_ai repo for anyone who is interested