mrq 687c71e028 disable accuracy calc because it breaks with actual batched training even though it shouldn't		2024-06-04 22:13:44 -05:00
..
emb	DAC just doesn't work well enough......	2024-05-25 11:07:52 -05:00
engines	added a flag to convert to a HF compatible model on export by stitching things	2024-06-03 22:34:47 -05:00
ext	fixes	2024-06-04 00:07:00 -05:00
models	disable accuracy calc because it breaks with actual batched training even though it shouldn't	2024-06-04 22:13:44 -05:00
utils	reverted automatically disabling split loss calc, since it seems that it's actually cacling loss on prom causes the oddities, maybe	2024-06-01 12:34:59 -05:00
__init__.py
__main__.py	deprecate sole AR/NAR model by only keeping the AR+NAR (the beauty of no one using this is that I can break compat as much as I want), add tone token for when I classify my dataset with tone/emotion in the future, some other things	2024-04-15 19:54:32 -05:00
config.py	re-implemented config.model.interleave for the HF-compat experimental method	2024-06-04 14:19:52 -05:00
data.py	tweaks	2024-06-04 20:41:13 -05:00
export.py	added a flag to convert to a HF compatible model on export by stitching things	2024-06-03 22:34:47 -05:00
inference.py	DAC just doesn't work well enough......	2024-05-25 11:07:52 -05:00
plot.py	deprecate sole AR/NAR model by only keeping the AR+NAR (the beauty of no one using this is that I can break compat as much as I want), add tone token for when I classify my dataset with tone/emotion in the future, some other things	2024-04-15 19:54:32 -05:00
samplers.py
train.py	added loss calc split and acc for experimental model	2024-06-04 22:04:40 -05:00
webui.py	backwards compat for old YAMLs with models, option to set flash attention 2 for Llama (and derivatives), included syncdoth/RetNets torchscale retnet for shits and grins, etc.	2024-04-16 10:02:31 -05:00