Experiment
tracking
Collaborative
dashboards
Dataset and model versioning
Interactive data visualization
Hyperparameter optimization
# Flexible integration for any Python script
import wandb
# 1. Start a W&B run
wandb.init(project=’gpt3′)
# 2. Save model inputs and hyperparameters
config = wandb.config
config.learning_rate = 0.01
# Model training here
# 3. Log metrics over time to visualize performance
wandb.log({“loss“: loss})
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