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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()
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