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Commits, branches and sync with the but CLI
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Works with
- Claude Code
- Codex
- Cursor
- and 3 more
Clinical ASR fine-tuning and cycle re-evaluation v1.0.0
Use this resource to fine-tune a clinical ASR model with NeMo SFT when the priority KER is above 0.3
New
- 322 downloads
- 155 likes
- 159 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install clinical-asr-finetuning-cycleWith 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 loginThe agent asks for cost confirmation before any GPU is provisioned, splits the data by terms, picks the base model among the recommended ones and runs stock NeMo SFT. It then proposes re-evaluating the next cycle and the steps that follow. You get a fine-tuned model and a view on the next cycle.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- references/stage4-finetune.md: stage 4 procedure
- references/container-paths.md: container paths
- SKILL.md: rules and conditions
Good fit for
- Your evaluation shows a priority KER above 0.3
- You want an ASR model adapted to your clinical vocabulary
Not for
Tags
- ASR
- fine-tuning
- Parakeet
- clinical
About
You say
“My cycle 2 KER is 0.34: start the fine-tuning stage and respect the cost confirmation.”
Skill published by Ben Randoing <brandoing@nvidia.com> under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to fine-tune a clinical ASR model with NeMo SFT when the priority KER is above 0.3
- Review and adjust the result
Content preview
Files
- BENCHMARK.md3.8 KB
- evals/evals.json3.3 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/container-paths.md3.2 KB
- references/stage4-finetune.md8.7 KB
- skill-card.md3.8 KB
- SKILL.md20 KB
- skill.oms.sig5 KB
Origin and licence
Listed unmodified
- Author
- Ben Randoing <brandoing@nvidia.com>
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/digital-health-clinical-asr-finetune
- Licence
- Apache-2.0
Notice
« digital-health-clinical-asr-finetune » (Ben Randoing <brandoing@nvidia.com>, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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