Commit Graph

18 Commits

Author SHA1 Message Date
mrq
66ac8ba766 added mel LR weight (as I finally understand when to adjust the text), added text validation on dataset creation 2023-03-13 18:51:53 +00:00
mrq
2feb6da0c0 cleanups and fixes, fix DLAS throwing errors from '''too short of sound files''' by just culling them during transcription 2023-03-11 01:19:49 +00:00
mrq
d3184004fd only God knows why the YAML spec lets you specify string values without quotes 2023-03-10 01:58:30 +00:00
mrq
b8867a5fb0 added the mysterious tortoise_compat flag mentioned in DLAS repo 2023-03-09 03:41:40 +00:00
mrq
b0baa1909a forgot template 2023-03-09 00:32:35 +00:00
mrq
3f321fe664 big cleanup to make my life easier when i add more parameters 2023-03-09 00:26:47 +00:00
mrq
34dcb845b5 actually make using adamw_zero optimizer for multi-gpus work 2023-03-08 15:31:33 +00:00
mrq
ff07f707cb disable validation if validation dataset not found, clamp validation batch size to validation dataset size instead of simply reusing batch size, switch to adamw_zero optimizier when training with multi-gpus (because the yaml comment said to and I think it might be why I'm absolutely having garbage luck training this japanese dataset) 2023-03-08 04:47:05 +00:00
mrq
b4098dca73 made validation working (will document later) 2023-03-08 02:58:00 +00:00
mrq
e862169e7f set validation to save rate and validation file if exists (need to test later) 2023-03-07 20:38:31 +00:00
mrq
3e220ed306 added option to set worker size in training config generator (because the default is overkill), for whisper transcriptions, load a specialized language model if it exists (for now, only english), output transcription to web UI when done transcribing 2023-03-05 05:17:19 +00:00
mrq
df24827b9a renamed mega batch factor to an actual real term: gradient accumulation factor, fixed halting training not actually killing the training process and freeing up resources, some logic cleanup for gradient accumulation (so many brain worms and wrong assumptions from testing on low batch sizes) (read the training section in the wiki for more details) 2023-03-04 15:55:06 +00:00
mrq
c2726fa0d4 added new training tunable: loss_text_ce_loss weight, added option to specify source model in case you want to finetune a finetuned model (for example, train a Japanese finetune on a large dataset, then finetune for a specific voice, need to truly validate if it produces usable output), some bug fixes that came up for some reason now and not earlier 2023-03-01 01:17:38 +00:00
mrq
225dee22d4 huge success 2023-02-23 06:24:54 +00:00
mrq
8a1a48f31e Added very experimental float16 training for cards with not enough VRAM (10GiB and below, maybe) \!NOTE\! this is VERY EXPERIMETNAL, I have zero free time to validate it right now, I'll do it later 2023-02-21 19:31:57 +00:00
mrq
092dd7b2d7 added more safeties and parameters to training yaml generator, I think I tested it extensively enough 2023-02-19 16:16:44 +00:00
mrq
cf758f4732 oops 2023-02-18 15:50:51 +00:00
mrq
d5c1433268 a bit of UI cleanup, import multiple audio files at once, actually shows progress when importing voices, hides audio metadata / latents if no generated settings are detected, preparing datasets shows its progress, saving a training YAML shows a message when done, training now works within the web UI, training output shows to web UI, provided notebook is cleaned up and uses a venv, etc. 2023-02-18 02:07:22 +00:00