Machine Learning, Sentiment Analysis, Vertex AI, Programming, Bert.
sum([np.prod(p.size()) for p in model_parameters]) logging.info(f"Total params : {total_parameters} - Trainable : {params} ({params/total_parameters*100}% of total)") # Optimizer and loss functions optimizer = torch.optim.Adam([p for p in classifier.parameters() if p.requires_grad], learning_rate)