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Early stopping for training v1.0.0

Use this resource to add early stopping to a model training run

New

  • 555 downloads
  • 128 likes
  • 233 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install early-stopping-for-training

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

This skill activates on early stopping requests and guides the agent step by step, with examples and error-handling rules. Its page does not fix a patience value or metric, so choose them for your training run.

Mostly picked by

Updated November 2, 2026

Card for the “Early stopping for training” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: callback setup steps and prerequisites
  • SKILL.md: examples and error handling

Good fit for

  • Your model starts overfitting after a few epochs
  • You want to save compute time

Not for

    Tags

    • early stopping
    • training
    • machine learning
    • callback

    About

    You say

    “Add early stopping to my training run if the validation loss stops decreasing.”

    Card for the “Early stopping for training” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to add early stopping to a model training run
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.3 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/07-ml-training/early-stopping-callback
    Licence
    MIT

    Notice

    « early-stopping-callback » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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