Get started

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Create your first notebook

1. Navigate to your project’s workspace.
2. Select Notebooks from the project sidebar.
3. Click Create notebook.

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Run a training experiment

1. Select Python to create a new code cell.
2. Copy and paste the following code into the cell:
   import random
   import wandb
   
   PROJECT = "your-project-name"
   
   # Dictionary with hyperparameters
   config = {
       'epochs' : 10,
       'lr' : 0.01
   }
   
   with wandb.init(project=PROJECT, config=config) as run:
       offset = random.random() / 5
       print(f"lr: {config['lr']}")
       
       # Simulate a training run
       for epoch in range(2, config['epochs']):
           acc = 1 - 2**-config['epochs'] - random.random() / config['epochs'] - offset
           loss = 2**-config['epochs'] + random.random() / config['epochs'] + offset
           print(f"epoch={config['epochs']}, accuracy={acc}, loss={loss}")
           run.log({"accuracy": acc, "loss": loss})
   
3. Press Command + Enter on macOS or Ctrl+Enter on Windows or Linux. Alternatively, click Play () next to the cell.

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View your experiment

1. Select Workspace from the project sidebar.
2. Review the runs and visualizations in the workspace. The runs list shows each run logged to the project and its details. Workspace panels display visualizations of the metrics logged during each run.

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Save the notebook

• Press Command+S on macOS or Ctrl+S on Windows or Linux.
• In the notebook footer, click Save ().