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Checkpoint Versioning - Model and Data versioning for Automated Machine Learning, Training and Finetuning using Git, DVC, and AWS S3

Project description

Model Training Guide

Setup

  1. Install dependencies: pip install -r requirements.txt
  2. Configure AWS and Bitbucket: cpv aws-config && cpv bitbucket-config

Training

  1. Prepare training data in data/ directory
  2. Update metrics logging in train.py
  3. Run: python train.py

Versioning

  1. Upload checkpoint: cpv model upload --message "Training v1"
  2. List checkpoints: cpv model list-tags
  3. Revert to version: cpv model revert --tag v1.0

Metrics

  • Training metrics logged in metrics.log
  • Model weights stored in model.bin

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