|
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 |
|
|
534a761e49
|
added loading/saving of voice latents by model hash, so no more needing to manually regenerate every time you change models
|
2023-03-02 00:46:52 +00:00 |
|
|
5a41db978e
|
oops
|
2023-03-01 19:39:43 +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 |
|
|
fda47156ec
|
oops
|
2023-02-28 01:08:07 +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 |
|
|
aafeb9f96a
|
actually fixed the training output text parser
|
2023-02-25 16:44:25 +00:00 |
|
|
65329dba31
|
oops, epoch increments twice
|
2023-02-25 15:31:18 +00:00 |
|
|
8b4da29d5f
|
csome adjustments to the training output parser, now updates per iteration for really large batches (like the one I'm doing for a dataset size of 19420)
|
2023-02-25 13:55:25 +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 |
|
|
2104dbdbc5
|
ops
|
2023-02-24 13:05:08 +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 |
|
|
7d1220e83e
|
forgot to mult by batch size
|
2023-02-23 15:38:04 +00:00 |
|
|
487f2ebf32
|
fixed the brain worm discrepancy between epochs, iterations, and steps
|
2023-02-23 15:31:43 +00:00 |
|
|
1cbcf14cff
|
oops
|
2023-02-23 13:18:51 +00:00 |
|
|
41fca1a101
|
ugh
|
2023-02-23 07:20:40 +00:00 |
|
|
941a27d2b3
|
removed the logic to toggle BNB capabilities, since I guess I can't do that from outside the module
|
2023-02-23 07:05:39 +00:00 |
|
|
225dee22d4
|
huge success
|
2023-02-23 06:24:54 +00:00 |
|
|
526a430c2a
|
how did this revert...
|
2023-02-22 13:24:03 +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 |
|
|
c4b41e07fa
|
properly placed the line toe xtract starting iteration
|
2023-02-22 01:17:09 +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 |
|
|
f119993fb5
|
explicitly use python3 because some OSs will not have python alias to python3, allow batch size 1
|
2023-02-21 20:20:52 +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 |
|
|
ed2cf9f5ee
|
wrap checking for metadata when adding a voice in case it throws an error
|
2023-02-21 17:35:30 +00:00 |
|
|
b6f7aa6264
|
fixes
|
2023-02-21 04:22:11 +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 |
|
|
1fd88afcca
|
updated notebook for newer setup structure, added formatting of getting it/s and lass loss rate (have not tested loss rate yet)
|
2023-02-20 22:56:39 +00:00 |
|
|
bacac6daea
|
handled paths that contain spaces because python for whatever god forsaken reason will always split on spaces even if wrapping an argument in quotes
|
2023-02-20 20:23:22 +00:00 |
|
|
37ffa60d14
|
brain worms forgot a global, hate global semantics
|
2023-02-20 15:31:38 +00:00 |
|
|
d17f6fafb0
|
clean up, reordered, added some rather liberal loading/unloading auxiliary models, can't really focus right now to keep testing it, report any issues and I'll get around to it
|
2023-02-20 00:21:16 +00:00 |
|
|
c99cacec2e
|
oops
|
2023-02-19 23:29:12 +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 |
|
|
4f79b3724b
|
Fixed model setting not getting updated when TTS is unloaded, for when you change it and then load TTS (sorry for that brain worm)
|
2023-02-19 16:24:06 +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 |
|
|
d89b7d60e0
|
forgot to divide checkpoint freq by iterations to get checkpoint counts
|
2023-02-19 07:05:11 +00:00 |
|