|
|
6ae282e090
|
re-added noise dataloader sampler whatever for the old implementation's other tasks that require it
|
2025-03-28 15:07:06 -05:00 |
|
|
|
8641c87611
|
nothing could go wrong part 2 (reverted and rewrote commits since there was a nasty regression)
|
2025-03-25 23:06:16 -05:00 |
|
|
|
c5475ebc91
|
another dataloader optimization
|
2025-03-15 20:18:58 -05:00 |
|
|
|
bee2688dea
|
ugh
|
2025-03-15 16:50:21 -05:00 |
|
|
|
2053580838
|
updated dataloader to hopefully reduce RAM usage
|
2025-03-15 13:14:37 -05:00 |
|
|
|
00d1fed217
|
another optimization (within the dataloader because the similar utterance sampler was mondo slow)
|
2025-03-08 17:10:50 -06:00 |
|
|
|
dbd34b6430
|
add specialized calc_loss because schizo
|
2025-03-07 18:44:11 -06:00 |
|
|
|
3f1070f575
|
tweaks
|
2025-03-02 22:36:25 -06:00 |
|
|
|
b97faa8173
|
fixes...
|
2025-02-28 18:53:07 -06:00 |
|
|
|
06ef3daf3c
|
require minimum of 1 second durations for training because of my slop code auto-transposing that I don't wanna fix right now
|
2025-02-26 22:00:33 -06:00 |
|
|
|
2ea387c08a
|
segregated experimental changes into its own streamlined file to avoid breaking the existing model, and it can pivot to the cleaned up code if it actually works (nothing is working)
|
2025-02-26 21:26:13 -06:00 |
|
|
|
d33ccd188a
|
ugh
|
2025-02-23 12:31:07 -06:00 |
|
|
|
67a6009555
|
(finally) added parallel AR for cfg.model.version >= 7 (nvidia/audio-codec-44khz is being a pain and it might require training purely AR first......)
|
2025-02-23 08:31:03 -06:00 |
|
|
|
15b3c20e19
|
also throw exception for zero'd out tensor during training (I am very paranoid now)
|
2025-02-22 14:09:41 -06:00 |
|
|
|
ab0abd2b12
|
fixes fixes fixes (a quarter of my recently processed audio returned zero'd tensors......)
|
2025-02-22 09:07:33 -06:00 |
|
|
|
e8f182b634
|
cleaned up loss calc code (it REALLY hates ignore_loss_for_inputs, but is fine with splitting with loss factors)
|
2025-02-13 09:35:27 -06:00 |
|
|
|
e029a8804d
|
ironically none of this cruft gets the loss lower than the original way
|
2025-02-12 11:17:00 -06:00 |
|
|
|
e5916ea519
|
for my sanity it seems having extraneous tokens in the embedding/classifier has the loss/acc a little higher than it should
|
2025-02-11 14:47:35 -06:00 |
|
|
|
d4a6709fb4
|
stopgap cringe to get this training session working (it does not seem fruitful)
|
2025-02-11 13:45:09 -06:00 |
|
|
|
d6a679ca5c
|
tweaks
|
2025-02-10 20:53:08 -06:00 |
|
|
|
b3f9b76fd9
|
invalidate a path if loading via metadata and entry is not in hdf5 (to avoid reparsing my metadata since I'm using a partial copy of my dataset at the moment)
|
2025-02-10 14:43:15 -06:00 |
|
|
|
47eb498046
|
more tweaks
|
2025-02-06 23:26:26 -06:00 |
|
|
|
3ab11bdc7b
|
oops
|
2025-01-05 23:53:17 -06:00 |
|
|
|
2e6a7625e4
|
experimental
|
2025-01-05 12:47:03 -06:00 |
|
|
|
9b0d2ccbe1
|
|
2024-12-26 21:42:17 -06:00 |
|
|
|
d85273609e
|
corrected export.py's --hf
|
2024-12-20 15:17:13 -06:00 |
|
|
|
53230efd74
|
changed prompt_inject_noise to prompt_inject_noise_p so I can have another reason to do this post-training
|
2024-12-19 19:28:50 -06:00 |
|
|
|
8838babcba
|
sanity checks (and I realized that the model actually had langs set to 4 in the yaml for KO/ZH so................
|
2024-12-19 19:08:57 -06:00 |
|
|
|
7617b6485f
|
instead just compute a bunch of stuff on the transcriptions to store later in different names so I can just retrieve what I want, also added tongue twisters for nefarious reasons
|
2024-12-18 23:43:11 -06:00 |
|
|
|
4775edaa41
|
added text cleaning/normalization for wer purposes but it amounts to nothing desu
|
2024-12-18 19:58:53 -06:00 |
|
|
|
ed152f78df
|
tweaks to prompt duration to allow me to divorce how i use it for training with how I'm using it for the demo page, and demo page tweaks to make my life easier
|
2024-12-17 19:33:04 -06:00 |
|
|
|
9a62e3b824
|
APOLLO cringe (doesn't want to work with deepspeed)
|
2024-12-12 00:31:58 -06:00 |
|
|
|
20b87bfbd0
|
store metrics and only recalculate them if the output file is newer than the metrics file
|
2024-12-11 20:55:43 -06:00 |
|
|
|
6468e5d124
|
lol
|
2024-12-11 19:10:32 -06:00 |
|
|
|
8568a93dad
|
added WER/SIM-O metrics, added APOLLO but I need to test it
|
2024-12-10 20:13:21 -06:00 |
|
|
|
a6c745bafb
|
chinese (mandarin?) support added (I guess I don't need pinyin, but tone markers are handled), korean validated, vocab adjusted
|
2024-12-09 14:26:19 -06:00 |
|
|
|
1d460b9fe3
|
logic fixes, I feel like output is better? (also NAR can have a temperature, I imagine it couldn't because it was having a causal masked passed to it for the longest time before I caught it a month ago)
|
2024-12-08 14:52:47 -06:00 |
|
|
|
4e21df8092
|
oops
|
2024-12-04 21:24:22 -06:00 |
|
|
|
93d27be539
|
rolling context finally (use last N utterances as the prefix for the next gen), option to split input text prompt by sentences instead of lines (or no splitting)
|
2024-12-04 20:31:44 -06:00 |
|
|
|
dcaf38b359
|
fixed training tqdm being stubborn
|
2024-11-23 09:45:23 -06:00 |
|
|
|
24d888c47c
|
temporarily dropping support for xformers because it's breaking when using an attention mask (which i dont remember commenting it out when being passed), default to not use wandb because it's being a pain when doing tests and not actual sessionsS)
|
2024-11-22 11:29:12 -06:00 |
|
|
|
6845c447c9
|
added more harvard sentences to load from a text file
|
2024-11-21 13:18:11 -06:00 |
|
|
|
2b29790173
|
oops
|
2024-11-18 14:12:26 -06:00 |
|
|
|
4a71981456
|
normalize sampler index by batch size (if not using batched sampler), add option to cap out utterances for a speaker, some other things
|
2024-11-18 12:46:50 -06:00 |
|
|
|
39096f8ff3
|
redid loss calculation to be cleaner, and position ID generation, and other things (I might need to train the NAR-len from scratch and not resume from an existing checkpoint.........)
|
2024-11-14 22:17:47 -06:00 |
|
|
|
e412e98125
|
ugh
|
2024-11-14 07:34:22 -06:00 |
|
|
|
c00fc18b62
|
actually use the right embedding for nar-len
|
2024-11-13 18:04:04 -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 |
|
|
|
0f2584eba7
|
new meme sampler PogChamp new meme sampler PogChamp (it sort of helps?)
|
2024-11-12 22:30:09 -06:00 |
|
|
|
2495a7ef67
|
Fixed STT in the web UI
|
2024-11-12 12:49:53 -06:00 |
|
