Hugging Face, Weights And Biases, Fiftyone, Model Evaluation, Hyperparameter Tuning.
time on our FiftyOne-backed dataloader. Each iteration, we then track whatever hyperparameters are of interest to us. In this example, we’ll track the epoch, learning rate, and train/validation losses. Additionally, we save the model weights every 25 epochs throughout the training process, but this