Progress Bar Visualization

During the training process, we will present the training status of the model in real-time in the form of a progress bar. Here, take the training process of SAFE as an example.

At the beginning of the training, we will provide the size of the training dataset and the size of the validation dataset. During the training process, we will provide the training time, training loss, classification loss, and cosine distance loss for each round; Verify the accuracy, precision, recall, and F1 score on the set.

At the end of the training, we will provide the accuracy, precision, recall, F1 score on the test set, as well as the path to save the model file.