Removed pretrainedEmbeddings as a global parameter, instead submodules can now have their own pretrained w2v

Checkpoints are created after each training epoch and it is possible to resume a training by training again on the same directory

Removed distinction between dense and sparse parameters because it was hurting performances and the advantage in speed was not significant