Weights & Biases
Set up Weights & Biases (W&B) to track and visualize your machine learning experiments. Gain immediate insights into model performance, hyperparameter tuning, and experiment reproducibility.
5 Steps
- 1
Install Weights & Biases: Add the `wandb` library to your Python environment using pip.
- 2
Authenticate Your Account: Run the login command. This will prompt you to enter your W&B API key, linking your local environment to your W&B account. (Create an account at wandb.ai if you don't have one).
- 3
Initialize a New Run: Import `wandb` and call `wandb.init()` at the beginning of your training script to start a new experiment run. Specify a project name.
- 4
Log Metrics and Parameters: Use `wandb.log()` to record key performance metrics (e.g., loss, accuracy) and `wandb.config` to save hyperparameters during your training loop.
- 5
View Your Dashboard: After your script runs (or even while it's running), W&B will provide a URL in your console. Open this URL in your browser to access your live experiment dashboard and visualize results.
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