feat: #57 callback for saving progress during training to #15

[tkarab]

• train info/results and best model all saved in specific file, created upon assembling the model
• train.py gives the opportunity to load model whose training has stopped mid way through, using information from aforementioned files
• TrainingInfoCallback takes care of creating and updating the files