Cut long dataset
Hi,
Assuming I have a large volume of data, around 10,000 hours, doing this on a relatively weak gpu would take a long time, more than months...
If I want, can I split my base into several parts and do a workout for each of them, always restoring the model from the last workout I did? Or is it better if I do the full base training? For this training in parts, do I have to worry about a parameter?
I'm building a dataSet in Portuguese and I'm facing this problem...