# Cross-entropy loss colloquially

I have just made an MNIST classifier from a tutorial. It has 1 layer, no hidden layers. It uses PyTorch's nn.CrossEntropyLoss as a loss function. Plotting my losses after training, it starts out at around 2.25 and goes down to 0.5. What does this number mean, in a colloquial sense? Does a loss of 0.5 mean that it's right 50% of the time?