|
|
b2eca271a8
|
ugh
|
2024-11-13 10:35:44 -06:00 |
|
|
|
be83ddabaa
|
better causal-ness for split loss calc, and also do masking for NAR-len for it
|
2024-11-13 10:17:52 -06:00 |
|
|
|
6b76419123
|
ugh
|
2024-11-13 09:54:20 -06:00 |
|
|
|
ad7cfffc00
|
NAR-len RVQ-0 was being trained causally.............
|
2024-11-13 09:43:50 -06:00 |
|
|
|
976ee87f6f
|
resume iteration step in tqdm trainer, warn to logger if the sampler state dict was invalidated
|
2024-11-13 09:09:28 -06:00 |
|
|
|
8286aa54c8
|
do not pass timestep token/embedding since it doesn't seem to matter at all after all, fixed training masking rate to 80% because a paper said so
|
2024-11-13 09:07:10 -06:00 |
|
|
|
caf721c67b
|
set it to zero because it'll make the stop token hide more often than not
|
2024-11-12 22:30:50 -06:00 |
|
|
|
0f2584eba7
|
new meme sampler PogChamp new meme sampler PogChamp (it sort of helps?)
|
2024-11-12 22:30:09 -06:00 |
|
|
|
663f07038d
|
haha... (do not create a token dropout/noise mask when not training (this sadly didnt fix NAR-len output))
|
2024-11-12 16:41:58 -06:00 |
|
|
|
b09328069e
|
actually do CFG sampling for base AR+NAR tasks
|
2024-11-12 13:42:39 -06:00 |
|
|
|
2495a7ef67
|
Fixed STT in the web UI
|
2024-11-12 12:49:53 -06:00 |
|
|
|
8927bad7bc
|
actually fixed rep pen (for ar and nar, it seems to help with nar unmasking)
|
2024-11-11 21:40:19 -06:00 |
|
|
|
ec92613847
|
actually pass input prompt length size to inference
|
2024-11-11 20:39:48 -06:00 |
|
|
|
b1df6a7bed
|
reverted rep pen sampler due to a regression
|
2024-11-11 20:35:08 -06:00 |
|
|
|
b1f4db39c8
|
threw in CFG sampling for normal model as well to experiment with
|
2024-11-11 20:27:38 -06:00 |
|
|
|
2f56696506
|
overhauled inference/sampler kwargs to stop being a bloated mess
|
2024-11-11 20:21:16 -06:00 |
|
|
|
354f8e059d
|
store dataset hash alongside state dict so it can be ignored if mismatched
|
2024-11-11 18:16:56 -06:00 |
|
|
|
f7b8b1e825
|
dropped subtrain dataloader since its useless to duplicate
|
2024-11-11 17:00:49 -06:00 |
|
|
|
cf9df71f2c
|
use homwbrewed caching system for dataloader paths / durations (I'm pretty sure I am now triggering OOM killers with my entire dataset used)
|
2024-11-11 16:32:08 -06:00 |
|
|
|
a748e223ce
|
tweaks
|
2024-11-11 12:40:41 -06:00 |
|
|
|
48490757da
|
fixes
|
2024-11-10 20:37:50 -06:00 |
|
|
|
9def34cd66
|
lol
|
2024-11-10 12:48:41 -06:00 |
|
|
|
9cb0b6901b
|
unified nar.py into ar_nar.py
|
2024-11-10 12:19:48 -06:00 |
|
|
|
a9d2faf2d7
|
all I can do now until I wait for the model to (re)train for pure NAR
|
2024-11-09 22:57:34 -06:00 |
|
|
|
ad7e290a5e
|
ugh (ROCm seems to silently clamp any token value >= logits.shape[-1] for loss calculation, while cuda will throw an assert, making it hard to find this dumb fuckup)
|
2024-11-09 19:40:02 -06:00 |
|
|
|
943fe70c10
|
I don't know why this fixes an assert thrown but it does
|
2024-11-09 19:04:13 -06:00 |
|
|
|
f50d92ba6c
|
Almost made a mistake
|
2024-11-09 18:12:54 -06:00 |
|
|
|
c6a38693a2
|
This better work
|
2024-11-09 18:04:59 -06:00 |
|
|
|
8b3d1cf70a
|
Something's Wrong
|
2024-11-09 15:07:43 -06:00 |
|
|
|
dcd5fecff3
|
some cleanup while I wait for the NAR-len to train to an acceptable state (currently it performs okay, but only on audo after 3 seconds or so)
|
2024-11-09 12:12:46 -06:00 |
|
|
|
69b0b3b854
|
set timestep tensor to whatever the time embedding's dtype is because it'll gripe under amp
|
2024-11-09 00:11:16 -06:00 |
|
|
|
5a09a5f6e9
|
I forgot about the time embedding...
|
2024-11-08 22:46:26 -06:00 |
|
|
|
811b15d280
|
I suppose I just have a shit training method since the sampler is as solid as I can get it...............
|
2024-11-08 22:05:41 -06:00 |
|
|
|
13b54953bd
|
agony
|
2024-11-08 13:34:39 -06:00 |
|
|
|
c127c4e488
|
'borrowed' a sampling scheduler for NAR-len's RVQ level 0 (better than before, but still not good enough)
|
2024-11-07 21:19:14 -06:00 |
|
|
|
e108c54daf
|
new NAR-len training paradigm......
|
2024-11-07 11:32:11 -06:00 |
|
|
|
ed174c589e
|
ugh
|
2024-11-07 09:19:21 -06:00 |
|
|
|
d13ab00ad8
|
one more note
|
2024-11-07 09:11:21 -06:00 |
|
|
|
5698188824
|
あたしって、ほんとバカ
|
2024-11-07 09:10:18 -06:00 |
|
|
|
77ff23e319
|
repeat extend the prom to fill the initial tokens for nar-len (it somewhat works, the model just needs to train more)
|
2024-11-06 23:29:53 -06:00 |
|
|
|
a3bc26f7ec
|
ugh
|
2024-11-06 23:16:28 -06:00 |
|
|
|
d606a693ff
|
eval fix for nar-len
|
2024-11-06 23:14:16 -06:00 |
|
|
|
105ed51159
|
I guess I'll fall for the NAR-len meme again (I don't know where my previous weights are, so I need to train it again to test something)
|
2024-11-06 19:17:12 -06:00 |
|
|
|
bcabde3454
|
more notes
|
2024-11-06 13:51:28 -06:00 |
|
|
|
bfc5e1d723
|
agony
|
2024-11-05 22:30:49 -06:00 |
|
|
|
aefe8fcdad
|
UGH
|
2024-11-05 22:13:58 -06:00 |
|
|
|
556d9db0d5
|
web UI support for HF ZeroGPU
|
2024-11-05 21:38:02 -06:00 |
|
|
|
e58a9469a3
|
move layerskip to experimental settings.......
|
2024-11-05 20:37:06 -06:00 |
|
|
|
bbc2de3713
|
ugh
|
2024-11-05 11:50:05 -06:00 |
|
|
|
9e65e05e83
|
more windows specific fixes, limit gradio to <5.0.0 on linux (it works on windows, but not on my linux machine tm)
|
2024-11-04 18:00:33 -06:00 |
|
|
|
c83670c38c
|
Windows specific fixes (to-do: find libespeak-ng.dll automatically because it cannot be trusted to do it by default)
|
2024-11-03 19:19:15 -06:00 |
|
|
|
d229725c76
|
more adjustments (adjustments of early-exit entropy/varentropy thresholds, default rep pen being 1.5, experimental refine-on-stop, etc.)
|
2024-11-03 18:31:28 -06:00 |
|
|
|
aee08b7307
|
changed layerskip float16 training warning (since it didnt seem to fry on my 4xV100 system)
|
2024-11-03 09:58:29 -06:00 |
|
|
|
3826f9bae4
|
saner mask creation? (it doesnt matter, kv cache wont work)
|
2024-11-02 21:00:21 -05:00 |
|
|
|
ded746e157
|
very, very naive layerskip speculative sampling (it just checks if the current layer's state is good enough)
|
2024-11-02 11:49:05 -05:00 |
|
|
|
62fe5b0943
|
ughh
|
2024-11-01 22:36:48 -05:00 |
|
|
|
ec79230965
|
shuffled web UI options hidden by cfg.experimental to its own tab, expose early exit selection to inferencing (it kinda works naively, still need to implement self-speculation)
|
2024-11-01 21:30:06 -05:00 |
|
|
|
ef1c17430f
|
skip step on nan loss (ironically I have not had a nan loss after adding this), throw exception with invalid cfg.dataset.sample_type and sample_order combination (because I was tricked by this in my yaml and had inconsistent vram usage)
|
2024-11-01 20:54:53 -05:00 |
|
|
|
fb8faa295b
|
actually float16(+AMP) and layerskip is bad and will kill the model......
|
2024-11-01 18:36:44 -05:00 |
|
|
|
edf1e66bf9
|
layerskip_r=6 fries the model so hard the loss is sub-1...
|
2024-11-01 17:06:07 -05:00 |
|
|
|
9b6c57bc57
|
third time's the charm (for some reason it escaped me that I should treat early exit loss as an aux_loss to be used with the normal loss, as if I was training a MoE's router)
|
2024-11-01 12:50:37 -05:00 |
|
|
|
76ebef45dc
|
off-by-one...
|
2024-10-31 13:24:48 -05:00 |
|
|
|
b63293cbbe
|
ugh
|
2024-10-30 22:49:11 -05:00 |
|
|
|
a22534e8f4
|
layer skip training implemented (need to gut the inferencing from the repo, and to actually see if the model can benefit from this)
|
2024-10-30 20:05:45 -05:00 |
|
|
|
4049f51ba9
|
added option to load lora directly from the model file itself with --lora
|
2024-10-26 00:13:10 -05:00 |
|
|
|
ccf71dc1b6
|
added option to load from a model state dict directly instead of a yaml (to-do: do this for LoRAs too), automatically download the default model if none is provided
|
2024-10-25 22:15:15 -05:00 |
|
|
|
a96f5aee32
|
adjusted how i want to pass eval kwargs
|
2024-10-25 20:38:09 -05:00 |
|
|
|
92e6bff6dc
|
actually ar temp 0.5 with rep pen 1.125 seems to have the benefits of better outputs without it degrading some of the time but not all the time
|
2024-10-23 00:03:35 -05:00 |
|
|
|
8920e5e86b
|
actually have beam_width in the webUI work
|
2024-10-22 22:06:22 -05:00 |
|
|
|
910571ad34
|
too brainlet to diagnose why low temp / greedy sampling is randomly unstable some of the time
|
2024-10-22 20:13:54 -05:00 |
|
|
|
8eb9a4056b
|
modified default arguments (ar temp = 0 and rep pen = 1.125 seems to be stable, at least given the few things i tested), do not pass top k/top p/min p to NAR even though technically none of those things should matter when greedy sampling
|
2024-10-22 18:12:39 -05:00 |
|
|
|
1a02cd5bce
|
modify demo template to say F5 instead of YourTTS, swap LoRA comparison around to make the lora'd the base file, and the no-lora the suffix'd file
|
2024-10-21 19:52:02 -05:00 |
|
|
|
02dfc60ac3
|
ugh
|
2024-10-18 17:23:22 -05:00 |
|
|
|
71731ed785
|
added prefixing with silence (was to test something, currently hidden under cfg.experimental=True)
|
2024-10-18 17:19:52 -05:00 |
|
|
|
6b04c13c56
|
print warning if audio promtpless inferencing with low AR temp (it really doesn't like low temps / greedy sampling)
|
2024-10-18 17:01:40 -05:00 |
|
|
|
c8f31db1de
|
default to greedy sample AR (i should probably test this more but it seems to pass my harvard sentences and tongue twisters)
|
2024-10-18 16:58:56 -05:00 |
|
|
|
fc8dfd8617
|
made greedy AR sampling viable (and preferable), with caveats (per comment in vall_e.models.ar_nar)
|
2024-10-18 16:55:00 -05:00 |
|
|
|
07f4935a75
|
more tweaks
|
2024-10-18 13:19:36 -05:00 |
|
|
|
0dfab973e7
|
oops
|
2024-10-18 09:40:06 -05:00 |
|
|
|
75b90be325
|
cleaned up unused config flags, allow less strict yaml by pruning missing keys, renamed some dataset configs to be more unified
|
2024-10-17 17:06:48 -05:00 |
|
|
|
8b6095f681
|
saner defaults, maybe
|
2024-10-17 14:37:21 -05:00 |
|
|
|
f88097ccf6
|
add config option to set the rate of sampling randomly vs similar speakers during training
|
2024-10-16 14:27:58 -05:00 |
|
|
|
48461833c2
|
ugh
|
2024-10-15 19:30:43 -05:00 |
|
|
|
eea70f5698
|
kludge fix for an oversight in the model when trying to train for longer input prompt durations......
|
2024-10-15 19:25:03 -05:00 |
|
|
|
84005c5b00
|
entropix apparently processes the entire sequence of logits but it falls apart when doing that
|
2024-10-13 12:01:12 -05:00 |
|
|
|
c800d28bb8
|
respect attention defined in the yaml for web UI (which might explain why theres been a discrepancy in outputs for me)
|
2024-10-13 11:02:24 -05:00 |
|
|
|
ed6b7a690f
|
ugh.........
|
2024-10-13 00:26:46 -05:00 |
|
|
|
d405f243d4
|
at wits end in trying to output the right attention scores
|
2024-10-12 23:53:13 -05:00 |
|
|
|
70cf694cfd
|
output attention scores for SDPA/flash, since naive attention seems broken
|
2024-10-12 12:09:17 -05:00 |
|
|
|
541e45263c
|
ugh
|
2024-10-12 11:29:16 -05:00 |
|
|
|
04e983b86b
|
modified demo page to be more modular with demoing comparisons, actually provide a path to use modified naive attention, entropix sampling is not tied to an experimental yaml flag now
|
2024-10-12 11:27:55 -05:00 |
|
|
|
666e8038fb
|
ugh
|
2024-10-12 10:41:35 -05:00 |
|
|
|
3d6ef9666b
|
overridden naive llama attention to get the right score values that entropix needs
|
2024-10-12 10:05:47 -05:00 |
|
|
|
40b089daf3
|
lol
|
2024-10-12 09:57:34 -05:00 |
|
|
|
d6f7c86a5c
|
entropix tweaks (it doesn't output garbage but it loves to go for silence)
|
2024-10-12 09:46:18 -05:00 |
|
|
|
d0ab7d755a
|
added min-p (really does not seem useful since it's very sensitive), more tweaks to entropix
|
2024-10-11 22:36:06 -05:00 |
|
|
|
bef43a0c18
|
added experimental entropix sampling support
|
2024-10-11 21:18:26 -05:00 |
|
|
|
85d85c1351
|
more arg creep for demo page
|
2024-10-10 19:40:01 -05:00 |
|
|
|
301468f519
|
<<
|
2024-10-10 19:13:52 -05:00 |
|
|
|
75a4c866d6
|
more demo page tweaks, added arg to force enable/disable LoRAs for inferencing (to-do: setup arg flags to handle this, and checkbox in web UI)
|
2024-10-10 19:04:12 -05:00 |
|
|
|
96d05be73c
|
demo page tweaks
|
2024-10-10 13:52:37 -05:00 |
|
|
|
2ea978f318
|
added --eval-random-text-prompts to use random text prompts for eval pass, added --random-prompts for demo page and --lora to use a sample with the lora disabled, probably finally fixed validation dataloader breaking on eval
|
2024-10-10 13:40:25 -05:00 |
|
|
|
52299127ab
|
fix vall_e.emb.process
|
2024-10-08 20:00:34 -05:00 |
|
|
|
0656a762af
|
fix vall_e.emb.transcriber
|
2024-10-08 19:24:43 -05:00 |
|
|
|
acdce66d4e
|
readme tweaks, set the (unused) default model download URL back to the base ar+nar-llama-8 model, as ar+nar-tts+stt-llama-8 was renamed back to it since it performs well
|
2024-10-05 22:53:53 -05:00 |
|
|
|
84c7419001
|
faster
|
2024-10-04 22:30:47 -05:00 |
|
|
|
a507b769a1
|
sped up inferencing by not doing .tolist() for rep pen / length pen (and a bug fix in the web UI from prev commit)
|
2024-10-04 22:18:20 -05:00 |
|
|
|
4a8e3ccf06
|
README tweaks, added --input-prompt-prefix as an experiment (its literally better to just not do this, but i'll retain it in case i have a revelation on how to improve it)
|
2024-10-04 18:57:19 -05:00 |
|
|
|
a9fa0898a9
|
tweaked demo page script to sample speakers instead
|
2024-09-28 10:50:26 -05:00 |
|
|
|
2f1dca3089
|
added language selection in web UI, tweaked demo script
|
2024-09-28 09:49:45 -05:00 |
|
|
|
10df2ef5f3
|
fixed oversight where input audio does not resample (lol...)
|
2024-09-27 20:27:53 -05:00 |
|
|
|
039482a48e
|
don't do eval on stt because it's so slow and I don't even bother doing any metrics against it anyways (to-do: make this a flag)
|
2024-09-26 18:56:57 -05:00 |
|
|
|
ff7a1b4163
|
coerce into path for other sampler_types (it's required for sampling for similar utterances)
|
2024-09-26 18:37:56 -05:00 |
|
|
|
f24547ad4e
|
add top_k sampling / offset for prompt similar utterance sampling
|
2024-09-26 16:26:40 -05:00 |
|
|
|
9da630f73a
|
swap order of demo entries, as the model prioritizes adhering to the speaker prompt more (instead of trying to match the ground truth magically)
|
2024-09-25 23:31:24 -05:00 |
|
|
|
e84d466261
|
vall_e.plot tweaks
|
2024-09-24 20:05:10 -05:00 |
|
|
|
c5e9142863
|
added option to retokenize phonemes for hdf5 (to save having to remake my hdf5 file)
|
2024-09-21 13:08:01 -05:00 |
|
|
|
536c11c4ac
|
actually validated and fixed sampling similar utterances for the prompt (hopefully nothing else is needed)
|
2024-09-21 12:59:51 -05:00 |
|
|
|
d31f27119a
|
regex replace out the (lang) markers in espeak, updated tokenizer vocab as lazily as possible to not have unk tokens
|
2024-09-21 12:29:28 -05:00 |
|
|
|
769f67dcfe
|
actually fix validation of phonemes in the symmap
|
2024-09-21 12:19:34 -05:00 |
|
|
|
c8d4716a9f
|
ugh
|
2024-09-18 21:40:57 -05:00 |
|
|
|
fe241f6a99
|
support for wildcard in training/validation/noise dataset array (to-do: a better way to query between metadata folder and data folder)
|
2024-09-18 21:34:43 -05:00 |
|
|
|
b5bec0c9ce
|
oops, turns out these are not split by speaker names already........ (also added sampling the dataset in the webui for easy viewing)
|
2024-09-18 20:19:46 -05:00 |
|
|
|
fa9d3f6c06
|
lang fixes / reworked phoneme symmap validation
|
2024-09-18 19:36:03 -05:00 |
|
|
|
84647f588a
|
more tweaks
|
2024-09-18 16:43:57 -05:00 |
|
|
|
ebac1db16c
|
maybe final tweaks, I really needed to unify my json read/write and orjson is proven to be fast enough for me to try and rely on it more
|
2024-09-17 22:57:04 -05:00 |
|
|
|
6ceed866b5
|
*faster*
|
2024-09-17 22:44:36 -05:00 |
|
|
|
f00283440c
|
faster
|
2024-09-17 22:26:31 -05:00 |
|
|
|
be22b65300
|
solved my problem
|
2024-09-17 21:58:44 -05:00 |
|
|
|
8f41d1b324
|
more tweaks
|
2024-09-17 16:26:30 -05:00 |
|
|
|
804ddb5182
|
optimizations (6 hours to do cosine similarities on a speaker set of just 17k utterances................)
|
2024-09-17 15:51:45 -05:00 |
|
|
|
a9fbe81f98
|
oops
|
2024-09-17 15:25:12 -05:00 |
|
|
|
c440c4fe7e
|
relegated processing similarity data into vall_e.emb.similarity since it's easier, seems to work?
|
2024-09-17 14:37:21 -05:00 |
|
|
|
56f25f7a9b
|
more stuff for similar-speaker prompt sampling (to-do: actually test if this works...)
|
2024-09-16 23:10:29 -05:00 |
|
|
|
69f140ba45
|
fix oversight with phonemizing french because espeak defines french as fr-fr instead of fr (even though spain spanish is es and not es-sp or some shit, but portugal portuguese is pt-pt)
|
2024-09-13 12:53:36 -05:00 |
|
|
|
4f3c7a37c8
|
also do text similarities (dont know what use I'll have for this)
|
2024-09-10 16:45:59 -05:00 |
|
|
|
1c615a0f52
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helper script (vall_e.emb.similar) to figure out the best way to compute similarity scores for audio (iunno how to go about it desu)
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2024-09-10 16:34:23 -05:00 |
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d059f6f56d
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added helper script to process Emilia (amphion/Emilia-Dataset), clean up espeak phonemes for non-English transcriptions with English words (because for some reason espeak injects (en){word}(lang) markers and it's annoying)
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2024-09-09 09:57:32 -05:00 |
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31e8b7edb8
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tweaks and fixes for lora stuffs
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2024-09-08 18:05:21 -05:00 |
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54203c059d
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validated rep pen for STT (sometimes needed to wrangle the model)
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2024-09-08 08:30:30 -05:00 |
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6a967f91b9
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oops
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2024-09-07 22:13:49 -05:00 |
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5d66a7db52
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webui cleanup, more tweaks, default to safetensors in config
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2024-09-07 21:45:05 -05:00 |
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a6ad0577b8
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cleanup the resultant text from STT
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2024-09-06 18:44:25 -05:00 |
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fa93061b3e
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more fixes, moved sampler state dict to a better place, eval works again
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2024-09-06 16:59:56 -05:00 |
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4bd9bb39c8
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webui for STT (still need to bake the model to handle it better, a few hours so far has it generate what looks like a normal transcription but does not correlate to the audio right now)
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2024-09-06 15:13:04 -05:00 |
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d33a906119
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cleanup for AR_NAR inferencing to allow both TTS and STT tasks simultaneously (need to have training eval do this to though)
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2024-09-06 14:30:12 -05:00 |
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341e19162b
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fixes, again
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2024-09-06 11:41:41 -05:00 |
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94cf81d38c
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tweak
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2024-09-05 23:21:18 -05:00 |
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413097f5f7
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fixes
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2024-09-05 21:42:59 -05:00 |
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54547b74d8
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experimental implementation of STT (need to actually test on a model, test trainer seems to work)
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2024-09-05 20:43:20 -05:00 |
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