Text Classification: approx progress needed

I was running Text Classification on my main desktop machine, just to test. It took a bit longer than expected, and the computer crashed after 3 weeks.

- It would be great to see how quickly the training is progressing. User can cancel if it seems too slow.
- During training it can also encourage user to complete the training. Currently, I did not know if it was 10% or 95% complete.

I think, just number of epochs completed and remaining to train would be enough. Estimated time to completion is probably not needed.

Perhaps the number of max epochs could also be user adjustable in some future version. Likewise, if it could autosave checkpoint and knew how to continue next time (or even guide for advanced cases to recover the file) would be nice.

Beginne damit, den Trainingsablauf für Textklassifikation zu lokalisieren und festzustellen, wo Epochen gezählt und wo der Abbruch behandelt wird. Definiere die Fertigstellung so, dass während des Trainings abgeschlossene und verbleibende Epochen angezeigt werden und der Benutzer den Vorgang abbrechen kann; checkpointing, Anleitungen zum Fortsetzen, eine anpassbare maximale Epochenzahl und Zeitschätzungen werden als zukünftige Möglichkeiten und nicht als erforderlicher Umfang beschrieben.

Vom Indexierungsmodell aus dem Issue-Text verfasst.