The training procedure consists of multiple epochs, where each epoch involves passing the entire dataset through the model. During each epoch, the model learns to associate image features with the corresponding captions. The training process is monitored using validation data to prevent overfitting, and techniques such as early stopping or dropout may be employed to enhance generalization.