digital-health-clinical-asr-finetune
CommunityFine-tune clinical ASR with stock NeMo SFT.
Authorsayalinvidia
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Stage 4 fine-tunes clinical ASR using stock NeMo SFT on Parakeet TDT v2, with offline cycle N+1 evaluation to confirm loop closure.
Core Features & Use Cases
- Stratified term-aware train/validation split; 3-epoch bf16-mixed SFT; offline evaluation; optional deployment via Riva NIM.
- Applies to healthcare vocabulary tuning including drug names, conditions, and procedures, with measurable KER improvements.
- Supports end-to-end workflow from data prep to evaluation, deploying to serving if needed.
Quick Start
Prepare a GPU-enabled environment, split your manifest into train/validation, run the stock NeMo SFT on Parakeet TDT 0.6B, and perform the offline cycle N+1 evaluation.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: digital-health-clinical-asr-finetune Download link: https://github.com/sayalinvidia/sayali-skills-test/archive/main.zip#digital-health-clinical-asr-finetune Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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