10 Commits (8094401a6d341dd74408386f9861415756ee910b)

Author	SHA1	Message	Date
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 +07:00
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 +07:00
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 +07:00
mrq	225dee22d4	huge success	2023-02-23 06:24:54 +07:00
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 +07:00
mrq	092dd7b2d7	added more safeties and parameters to training yaml generator, I think I tested it extensively enough	2023-02-19 16:16:44 +07:00
mrq	cf758f4732	oops	2023-02-18 15:50:51 +07:00
mrq	2615cafd75	added dropdown to select autoregressive model for TTS, fixed a bug where the settings saveer constantly fires I hate gradio so much why are dropdown.change broken to contiuously fire and send an empty array	2023-02-18 14:10:26 +07:00
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 +07:00
mrq	229be0bdb8	almost	2023-02-17 15:53:50 +07:00