Weights & Biases (W&B) Installation Basic Experiment Tracking PyTorch Integration Hugging Face Trainer Integration Hyperparameter Sweeps Artifacts (Data and Model Versioning) Tables and Media Logging Key Concepts - Runs : Individual experiment executions with automatic system metrics (GPU, CPU, memory) - Config : Hyperparameters tracked per run — use for consistency - Sweeps : Bayesian, grid, or random hyperparameter search with early stopping - Artifacts : Version datasets, models, and other files with lineage tracking - : Automatically log model gradients and parameters during training - Re…