|
|
1a9d159b2a
|
forgot to add 'bs / gradient accum < 2 clamp validation logic
|
2023-03-04 17:37:08 +00:00 |
|
|
|
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 |
|
|
|
6d5e1e1a80
|
fixed user inputted LR schedule not actually getting used (oops)
|
2023-03-04 04:41:56 +00:00 |
|
|
|
6d8c2dd459
|
auto-suggested voice chunk size is based on the total duration of the voice files divided by 10 seconds, added setting to adjust the auto-suggested division factor (a really oddly worded one), because I'm sure people will OOM blindly generating without adjusting this slider
|
2023-03-03 21:13:48 +00:00 |
|
|
|
740b5587df
|
added option to specify using BigVGAN as the vocoder for mrq/tortoise-tts
|
2023-03-03 06:39:37 +00:00 |
|
|
|
e859a7c01d
|
experimental multi-gpu training (Linux only, because I can't into batch files)
|
2023-03-03 04:37:18 +00:00 |
|
|
|
c956d81baf
|
added button to just load a training set's loss information, added installing broncotc/bitsandbytes-rocm when running setup-rocm.sh
|
2023-03-02 01:35:12 +00:00 |
|
|
|
b989123bd4
|
leverage tensorboard to parse tb_logger files when starting training (it seems to give a nicer resolution of training data, need to see about reading it directly while training)
|
2023-03-01 19:32:11 +00:00 |
|
|
|
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 |
|
|
|
5037752059
|
oops
|
2023-02-28 22:13:21 +00:00 |
|
|
|
787b44807a
|
added to embedded metadata: datetime, model path, model hash
|
2023-02-28 15:36:06 +00:00 |
|
|
|
81eb58f0d6
|
show different losses, rewordings
|
2023-02-28 06:18:18 +00:00 |
|
|
|
bc0d9ab3ed
|
added graph to chart loss_gpt_total rate, added option to prune X number of previous models/states, something else
|
2023-02-28 01:01:50 +00:00 |
|
|
|
6925ec731b
|
I don't remember.
|
2023-02-27 19:20:06 +00:00 |
|
|
|
92553973be
|
Added option to disable bitsandbytesoptimizations for systems that do not support it (systems without a Turing-onward Nvidia card), saves use of float16 and bitsandbytes for training into the config json
|
2023-02-26 01:57:56 +00:00 |
|
|
|
d5d8821a9d
|
fixed some files not copying for bitsandbytes (I was wrong to assume it copied folders too), fixed stopping generating and training, some other thing that I forgot since it's been slowly worked on in my small free times
|
2023-02-24 23:13:13 +00:00 |
|
|
|
f31ea9d5bc
|
oops
|
2023-02-24 16:23:30 +00:00 |
|
|
|
f6d0b66e10
|
finally added model refresh button, also searches in the training folder for outputted models so you don't even need to copy them
|
2023-02-24 12:58:41 +00:00 |
|
|
|
1e0fec4358
|
god i finally found some time and focus: reworded print/save freq per epoch => print/save freq (in epochs), added import config button to reread the last used settings (will check for the output folder's configs first, then the generated ones) and auto-grab the last resume state (if available), some other cleanups i genuinely don't remember what I did when I spaced out for 20 minutes
|
2023-02-23 23:22:23 +00:00 |
|
|
|
1cbcf14cff
|
oops
|
2023-02-23 13:18:51 +00:00 |
|
|
|
225dee22d4
|
huge success
|
2023-02-23 06:24:54 +00:00 |
|
|
|
2aa70532e8
|
added '''suggested''' voice chunk size (it just updates it to how many files you have, not based on combined voice length, like it should
|
2023-02-22 03:31:46 +00:00 |
|
|
|
cc47ed7242
|
kmsing
|
2023-02-22 03:27:28 +00:00 |
|
|
|
93b061fb4d
|
oops
|
2023-02-22 03:21:03 +00:00 |
|
|
|
fefc7aba03
|
oops
|
2023-02-21 22:13:30 +00:00 |
|
|
|
9e64dad785
|
clamp batch size to sample count when generating for the sickos that want that, added setting to remove non-final output after a generation, something else I forgot already
|
2023-02-21 21:50:05 +00:00 |
|
|
|
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 |
|
|
|
bbc2d26289
|
I finally figured out how to fix gr.Dropdown.change, so a lot of dumb UI decisions are fixed and makes sense
|
2023-02-21 03:00:45 +00:00 |
|
|
|
ee95616dfd
|
optimize batch sizes to be as evenly divisible as possible (noticed the calculated epochs mismatched the inputted epochs)
|
2023-02-19 21:06:14 +00:00 |
|
|
|
6260594a1e
|
Forgot to base print/save frequencies in terms of epochs in the UI, will get converted when saving the YAML
|
2023-02-19 20:38:00 +00:00 |
|
|
|
4694d622f4
|
doing something completely unrelated had me realize it's 1000x easier to just base things in terms of epochs, and calculate iteratsions from there
|
2023-02-19 20:22:03 +00:00 |
|
|
|
ec76676b16
|
i hate gradio I hate having to specify step=1
|
2023-02-19 17:12:39 +00:00 |
|
|
|
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 |
|
|
|
e7d0cfaa82
|
added some output parsing during training (print current iteration step, and checkpoint save), added option for verbose output (for debugging), added buffer size for output, full console output gets dumped on terminating training
|
2023-02-19 05:05:30 +00:00 |
|
|
|
5fcdb19f8b
|
I forgot to make it update the whisper model at runtime
|
2023-02-19 01:47:06 +00:00 |
|
|
|
47058db67f
|
oops
|
2023-02-18 20:56:34 +00:00 |
|
|
|
fc5b303319
|
we do a little garbage collection
|
2023-02-18 20:37:37 +00:00 |
|
|
|
cf758f4732
|
oops
|
2023-02-18 15:50:51 +00:00 |
|
|
|
843bfbfb96
|
Simplified generating training YAML, cleaned it up, training output is cleaned up and will "autoscroll" (only show the last 8 lines, refer to console for a full trace if needed)
|
2023-02-18 14:51:00 +00:00 |
|
|
|
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 +00:00 |
|
|
|
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 |
|
|
|
c75d0bc5da
|
pulls DLAS for any updates since I might be actually updating it, added option to not load TTS on initialization to save VRAM when training
|
2023-02-17 20:43:12 +00:00 |
|
|
|
bcec64af0f
|
cleanup, "injected" dvae.pth to download through tortoise's model loader, so I don't need to keep copying it
|
2023-02-17 19:06:05 +00:00 |
|
|
|
8d268bc7a3
|
training added, seems to work, need to test it more
|
2023-02-17 16:29:27 +00:00 |
|
|
|
f87764e7d0
|
Slight fix, getting close to be able to train from the web UI directly
|
2023-02-17 13:57:03 +00:00 |
|
|
|
59d0f08244
|
https://arch.b4k.co/v/search/text/%22TAKE%20YOUR%20DAMN%20CLOTHES%20OFF%22/type/op/
|
2023-02-17 06:06:50 +00:00 |
|
|
|
12933cfd60
|
added dropdown to select which whisper model to use for transcription, added note that FFMPEG is required
|
2023-02-17 06:01:14 +00:00 |
|
|
|
96e9acdeec
|
added preparation of LJSpeech-esque dataset
|
2023-02-17 05:42:55 +00:00 |
|
|
|
f8249aa826
|
tab to generate the training YAML
|
2023-02-17 03:05:27 +00:00 |
|
|
|
3a078df95e
|
Initial refractor
|
2023-02-17 00:08:27 +00:00 |
|
