Anyone able to get some good output from this on another dataset?
I have tried to swap out the original dataset with the Cornell movie dialogue dataset but after training for two days on a big GPU I am getting garbage output. So now I am just trying to get it to output the input and again after two days of training the loss is very low but I am getting just a random collection of words. I have replaced the .en .fr files, and removed the old vocab files.
For another test I have created a dataset where the input is three letters of the alphabet and the output is the next three. This actually works, after a few minutes of training it gets perfect accuracy. Not sure why this won't translate to dialogue.
Anyone able to get some good output from this on another dataset?
I have tried to swap out the original dataset with the Cornell movie dialogue dataset but after training for two days on a big GPU I am getting garbage output. So now I am just trying to get it to output the input and again after two days of training the loss is very low but I am getting just a random collection of words. I have replaced the .en .fr files, and removed the old vocab files.
For another test I have created a dataset where the input is three letters of the alphabet and the output is the next three. This actually works, after a few minutes of training it gets perfect accuracy. Not sure why this won't translate to dialogue.