baseline
CommunityMeasure ML model performance.
AuthorChuaHanChong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill establishes the foundational performance metrics for your ML model, ensuring you have a clear understanding of its current capabilities before embarking on optimization.
Core Features & Use Cases
- Baseline Metrics: Captures key performance indicators like accuracy, loss, and F1 scores.
- Performance Profiling: Measures GPU memory usage and training throughput for optimization insights.
- Experiment Setup: Initializes a structured directory for tracking experiments and results.
- Use Case: Before fine-tuning a large language model, use this Skill to record its initial accuracy and inference speed to quantify the impact of future optimizations.
Quick Start
Run the baseline skill to evaluate the current performance of your ML model.
Dependency Matrix
Required Modules
parse_logs.pygpu_check.pyschema_validator.pyerror_tracker.py
Components
scriptsreferencesassets
💻 Claude Code Installation
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Please help me install this Skill: Name: baseline Download link: https://github.com/ChuaHanChong/ml-optimizer/archive/main.zip#baseline Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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