data_dirs: [./training/libritts-small/valle/]
spkr_name_getter: "lambda p: p.parts[-1].split('-')[0]" # I don't know what the importance of speaker IDs are in this implementation

models: [ 'ar-quarter', 'nar-quarter' ] # valid suffix: "-quarter", "-half", no suffix

optimizer: Adamw # set to Adam if you're a sadist

max_phones: 256 # overkill, as the max phoneme length in the data is smaller than this

batch_size: 16 # keep as a multiple of 4/8/16
gradient_accumulation_steps: 2 # iffy on this, slower training but more "accurate" results
eval_batch_size: 8 # you can set this to your batch_size
save_ckpt_every: 100 # player preference
eval_every: 500 # player preference
max_iter: 10000 # increase as needed