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
- Install dependencies:
pip install -r requirements.txt - Configure AWS and Bitbucket:
cpv aws-config && cpv bitbucket-config
Training
- Prepare training data in
data/directory - Update metrics logging in
train.py - Run:
python train.py
Versioning
- Upload checkpoint:
cpv model upload --message "Training v1" - List checkpoints:
cpv model list-tags - 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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