wandb_test.py

import os
import wandb
import random
from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()

try:
    # start a new wandb run to track this script
    wandb.init(
        # set the wandb project where this run will be logged
        project="my-awesome-project",
        
        # track hyperparameters and run metadata
        config={
            "learning_rate": 0.02,
            "architecture": "CNN",
            "dataset": "CIFAR-100",
            "epochs": 10,
        }
    )

    # simulate training
    epochs = 10
    offset = random.random() / 5
    for epoch in range(2, epochs):
        acc = 1 - 2 ** -epoch - random.random() / epoch - offset
        loss = 2 ** -epoch + random.random() / epoch + offset
        
        # log metrics to wandb
        wandb.log({"acc": acc, "loss": loss})
        print(f"Epoch {epoch}: accuracy = {acc:.4f}, loss = {loss:.4f}")

except Exception as e:
    print(f"An error occurred: {str(e)}")
finally:
    # [optional] finish the wandb run, necessary in notebooks
    wandb.finish()