mrq 7075c2a5f0 added an option to allow injecting embeddings from another model, because it dawned upon me how valuable embeddings from a good model can be for subsequent trainings (defined under cfg.models._embeddings as a relative path to the yaml)		2024-04-04 19:11:49 -05:00
..
emb	added sampling by speaker group name (might be better to de-emphasize the LibriVox/Audiobooks that are in large numbers, and emphasize the smaller pools), log cleanup	2023-10-16 19:30:38 -05:00
engines	added an option to allow injecting embeddings from another model, because it dawned upon me how valuable embeddings from a good model can be for subsequent trainings (defined under cfg.models._embeddings as a relative path to the yaml)	2024-04-04 19:11:49 -05:00
models	added an option to allow injecting embeddings from another model, because it dawned upon me how valuable embeddings from a good model can be for subsequent trainings (defined under cfg.models._embeddings as a relative path to the yaml)	2024-04-04 19:11:49 -05:00
utils	cleaner replacement code (because I realized BitNet had an implementation for it too), added calculating gradient norm and performing gradient clipping in local trainer (non-deepspeed)	2024-03-01 20:18:43 -06:00
__init__.py
__main__.py	exposed rolling resp context to the web UI, added passing in language to inferencing command line	2023-10-12 23:21:01 -05:00
config.py	added an option to allow injecting embeddings from another model, because it dawned upon me how valuable embeddings from a good model can be for subsequent trainings (defined under cfg.models._embeddings as a relative path to the yaml)	2024-04-04 19:11:49 -05:00
data.py	added torchscale XMOE integration (because Mixtral 8x7B seems very promising and I want to see if it works)	2023-12-20 18:45:58 -06:00
export.py
inference.py	added Mistral (non-Mixtral) backend, useless optimization when not training, proper adjustment of the LR for Prodigyopt through d_coeff (maybe), recurrent sampling for LLaMA/Mistral/Mixtral backends (again, doesn't actually work)	2024-01-31 21:48:36 -06:00
plot.py
samplers.py
train.py	logger broke for some reason, added flag to just tqdm.write instead, make cfg.bitsandbytes.bitnet==True yamls denoted since I'm sure they're not interoperable	2024-03-01 10:32:35 -06:00
webui.py	added torchscale XMOE integration (because Mixtral 8x7B seems very promising and I want to see if it works)	2023-12-20 18:45:58 -06:00