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15b3c20e19
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also throw exception for zero'd out tensor during training (I am very paranoid now)
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2025-02-22 14:09:41 -06:00 |
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ab0abd2b12
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fixes fixes fixes (a quarter of my recently processed audio returned zero'd tensors......)
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2025-02-22 09:07:33 -06:00 |
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50506e5ebc
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oops
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2025-02-20 20:55:58 -06:00 |
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fc1ec2019d
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added option to buffer process jobs across multiple speakers to maybe squeeze out some throughput speeds for vall_e.emb.process (in the event of lots of speakers with low file counts, such as Emilia)
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2025-02-20 14:56:32 -06:00 |
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ce1ca0124a
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lol...
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2025-02-20 13:40:36 -06:00 |
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92139b6da9
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additional cruft, added a note in documentation to be aware of NUMA node topology when running vall_e.emb.process with more than one process
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2025-02-18 19:56:30 -06:00 |
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596c2df11c
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added arg to skip processing speakers with not enough utterances for whenever I get around to processing my subest of Emilia for nvidia/audio-codec-44khz (because Emilia has a ton of low-utternace speaker counts and right now my focus with the nemo model is on getting it to actually speak without much problems rather than feed it a gorillion speakers)
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2025-02-18 10:49:21 -06:00 |
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8331eee6fa
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added arg to limit vall_e.emb.process batch size since there's some speaker groups in LibriLight/Speech/whatever that have 10K utterances and I'm going impatient
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2025-02-18 10:19:17 -06:00 |
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8f86cf0e4e
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possible logic optimization so I don't spend another 15 minutes simply iterating back to the point I was at in vall_e.emb.process
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2025-02-16 11:34:05 -06:00 |
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13c3a08853
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nevermind thats slow
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2025-02-14 16:35:17 -06:00 |
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285e493b12
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ugh..........
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2025-02-14 16:24:34 -06:00 |
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a65c8144f4
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with the amount of tweaks I keep making I could have probably had the nvidia/audio-codec-44khz model realized already......
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2025-02-13 18:38:40 -06:00 |
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e3becec0e8
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more better-er loss calc I suppose
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2025-02-13 12:49:53 -06:00 |
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e8f182b634
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cleaned up loss calc code (it REALLY hates ignore_loss_for_inputs, but is fine with splitting with loss factors)
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2025-02-13 09:35:27 -06:00 |
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319ca09a4f
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cleanup
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2025-02-12 23:36:32 -06:00 |
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b52c5c5d80
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this seems to work in testing
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2025-02-12 16:16:04 -06:00 |
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e029a8804d
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ironically none of this cruft gets the loss lower than the original way
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2025-02-12 11:17:00 -06:00 |
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4b31f5c808
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this seems preferable
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2025-02-12 00:36:50 -06:00 |
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04fef5dad5
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agony
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2025-02-12 00:18:24 -06:00 |
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e5916ea519
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for my sanity it seems having extraneous tokens in the embedding/classifier has the loss/acc a little higher than it should
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2025-02-11 14:47:35 -06:00 |
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d4a6709fb4
|
stopgap cringe to get this training session working (it does not seem fruitful)
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2025-02-11 13:45:09 -06:00 |
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c0b46b82eb
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tweaks
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2025-02-10 21:48:29 -06:00 |
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d6a679ca5c
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tweaks
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2025-02-10 20:53:08 -06:00 |
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276a2342a4
|
tweaks to processing script
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2025-02-10 19:18:13 -06:00 |
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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)
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2025-02-10 14:43:15 -06:00 |
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075ffef68a
|
ugh
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2025-02-09 13:02:51 -06:00 |
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953015748f
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ugh
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2025-02-07 20:49:28 -06:00 |
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ed94b261dc
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could have sworn i had 'vall_e.emb.process --dtype' working, also possible RAM optimization so I can stop locking up my server when firing four encoding processes
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2025-02-07 18:52:19 -06:00 |
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47eb498046
|
more tweaks
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2025-02-06 23:26:26 -06:00 |
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67a9401cce
|
oops
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2025-02-06 15:14:14 -06:00 |
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712ce4af5d
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maybe fixed errors with DAC backend, added option to limit by duration in emb.process (because I only really need short utternaces right now and I'm not ready to spend a week on processing everything again)
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2025-02-06 12:37:18 -06:00 |
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299cc88821
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re-added amp encoding/decoding for audio, possible bad idea to ignore using amp instead if requested
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2025-02-05 21:55:06 -06:00 |
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7592befc53
|
updated vall_e.emb.process to allow for batched processing, some typo fixes (it's painfully slow on my 7900XTX...)
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2025-02-05 21:13:20 -06:00 |
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79c504c278
|
cleaned up encode/decode functions to make them a little more coherent, added option to batch encode/decode (would have been very nice in the past, but this should speed things up for me when i fall for the latest meme codec)
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2025-02-05 20:54:31 -06:00 |
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84174c1c1b
|
oops
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2025-02-05 10:25:03 -06:00 |
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bb2ebe1ca2
|
fixed issues that may rise from updating transformers with attention, added nvidia/audio-codec-44khz backend support (by gutting everything necessary because I do NOT want to install more dependencies
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2025-02-04 20:30:07 -06:00 |
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0841f366e8
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I should really just grab modelling_llama wholesale (fix for the adapted attention class)
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2025-01-28 21:55:05 -06:00 |
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e5f9da2221
|
oops
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2025-01-21 11:59:24 -06:00 |
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69c1d2991f
|
updated mixtral backend (need this for something else)
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2025-01-20 21:50:56 -06:00 |
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1a26f789a5
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added option to playback audio directly, removed no-phonemize option since I swear it worked in testing but it doesn't actually work
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2025-01-12 21:52:49 -06:00 |
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9fa87c417a
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added option to use raw text rather than the IPA phonemes (it requires a model trained on raw text)
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2025-01-06 00:10:43 -06:00 |
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3ab11bdc7b
|
oops
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2025-01-05 23:53:17 -06:00 |
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b445f4abb6
|
experimental
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2025-01-05 19:05:00 -06:00 |
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2e6a7625e4
|
experimental
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2025-01-05 12:47:03 -06:00 |
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31cfef59c4
|
when you do more training thinking the original model that can do NS/SR got deleted but it was actually a string not having its quotes in the right place.......
|
2024-12-27 18:16:57 -06:00 |
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9b0d2ccbe1
|
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2024-12-26 21:42:17 -06:00 |
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59f56ad099
|
cleaup
|
2024-12-24 23:14:32 -06:00 |
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82e8592f2a
|
working vall_e.cpp
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2024-12-24 17:54:48 -06:00 |
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497bdfc67b
|
more work (the wall is non-causal decoding......)
|
2024-12-22 20:11:31 -06:00 |
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5f289db275
|
ugh
|
2024-12-22 16:15:24 -06:00 |
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0d4329d2e3
|
sanity cleanup
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2024-12-22 15:05:45 -06:00 |
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353e478e68
|
agony
|
2024-12-21 22:52:10 -06:00 |
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5788db849b
|
added extremely barebones vall_e.cpp so I can stop having to juggle this file around so much
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2024-12-21 10:57:02 -06:00 |
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91caf00212
|
ugh
|
2024-12-20 17:13:37 -06:00 |
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d85273609e
|
corrected export.py's --hf
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2024-12-20 15:17:13 -06:00 |
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59bf6b8b33
|
exposed additional task (ns, sr, vc) (vc is experimental)
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2024-12-20 11:15:29 -06:00 |
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53230efd74
|
changed prompt_inject_noise to prompt_inject_noise_p so I can have another reason to do this post-training
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2024-12-19 19:28:50 -06:00 |
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e7e7f48043
|
livid
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2024-12-19 19:25:27 -06:00 |
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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 |
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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
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2024-12-18 23:43:11 -06:00 |
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4775edaa41
|
added text cleaning/normalization for wer purposes but it amounts to nothing desu
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2024-12-18 19:58:53 -06:00 |
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9090c34f10
|
cringe script to process seed-tts-eval's eval dataset into something i can easily use
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2024-12-17 22:47:12 -06:00 |
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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
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2024-12-17 19:33:04 -06:00 |
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7129582303
|
actually do proper wer/cer calculation by un-normalizing the scores
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2024-12-17 14:22:30 -06:00 |
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c2c6d912ac
|
actually do speaker verification
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2024-12-17 10:11:14 -06:00 |
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c2e17e287b
|
really shoddy voice conversion implementation (it sort of works...)
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2024-12-16 22:54:53 -06:00 |
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8515038968
|
imagine my disappointment when the epoch finished just for it to throw an exception
|
2024-12-16 18:28:01 -06:00 |
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4a65ac9eb7
|
oops
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2024-12-15 17:21:51 -06:00 |
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cd4a5f427c
|
KO/ZH model soon
|
2024-12-15 17:01:14 -06:00 |
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4800e7179a
|
remove nan checks because it causes problems in distributed training because I'm not syncing between GPUs (and nan losses gets ignored anyways with loss scaling)
|
2024-12-15 09:42:54 -06:00 |
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2ba6b483dc
|
ugh
|
2024-12-14 22:43:51 -06:00 |
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3dd31e74d1
|
finally figured out a clean way to handle "resuming" the tqdm bar
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2024-12-14 18:44:43 -06:00 |
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35389481ee
|
move lazy-stored ortho matrix to the grad device for apollo because agony
|
2024-12-13 23:22:26 -06:00 |
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09804ecc16
|
APOLLO tweaks to make it work with deepspeed
|
2024-12-13 23:03:52 -06:00 |
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64c67160a3
|
tweaks
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2024-12-13 19:00:35 -06:00 |
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0fbfb8bbe8
|
actually save the optimizer for the local engine backend because safetensors doesn't save it
|
2024-12-12 17:12:59 -06:00 |
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f41251f648
|
more fixes for local engine backend
|
2024-12-12 14:38:42 -06:00 |
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6b237ae5e3
|
tweaks for the local engine orchestrator (that I never caught since I always used the deepspeed backend)
|
2024-12-12 13:37:38 -06:00 |
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9a62e3b824
|
APOLLO cringe (doesn't want to work with deepspeed)
|
2024-12-12 00:31:58 -06:00 |
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cddf8ca814
|
sort batches to try and reduce number of padded tokens in batched inference (also commented out F5 samples getting added to the demo page because I would have to regenerate them)
|
2024-12-11 22:45:38 -06:00 |
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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 |
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0c69e798f7
|
template cleanup
|
2024-12-11 20:06:55 -06:00 |
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7e54e897f7
|
also shifted to transformer's pipeline for transcribing
|
2024-12-11 19:57:53 -06:00 |
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b81a98799b
|
uplifting transformer's WavLM stuff to do speaker verification instead
|
2024-12-11 19:30:05 -06:00 |
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6468e5d124
|
lol
|
2024-12-11 19:10:32 -06:00 |
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6f1ee0c6fa
|
Added CER, transcription/similarity model args in demo
|
2024-12-10 21:00:51 -06:00 |
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8568a93dad
|
added WER/SIM-O metrics, added APOLLO but I need to test it
|
2024-12-10 20:13:21 -06:00 |
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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 |
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3ef8894290
|
oops
|
2024-12-08 15:24:21 -06:00 |
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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 |
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0c5a458b00
|
deduce language per line to allow for a cheap way to allow for cross-lingual switching, kinda
|
2024-12-07 22:57:29 -06:00 |
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a032ff588f
|
doc update, added automatically deducing language from a given text, also checks if the input is already phonemized text to allow direct control without being cringe (procrastinating adding WER/SIM-O)
|
2024-12-07 22:34:25 -06:00 |
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5d80a2d0d4
|
fixed NAR-len issues with non-english maybe (langs weren't being passed), added interface to inference in batches through tts.batched_inference (no support for rolling context/prefixes because there's no way to do that), demo page uses batched inferencing now
|
2024-12-07 19:21:05 -06:00 |
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1f54bf5b40
|
revert sageattn back to optional dependency because it's not on windows, force resize_modules on by default because I broke something
|
2024-12-07 17:09:39 -06:00 |
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|
218d0e29fd
|
ugh (batchmean actually expects batch=seq_len, and not the actual batch)
|
2024-12-07 12:39:01 -06:00 |
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|
61ed662856
|
ACTUALLY actually fix KD-loss (the -inf in the logits was caused by cringecode)
|
2024-12-07 12:31:54 -06:00 |
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f97e8b0c7f
|
ACTUALLY do KD-loss because of an oversight with masked_select outputting 1D tensors that get softmax'd in total
|
2024-12-07 09:52:51 -06:00 |
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34a66e1052
|
agnostified KD
|
2024-12-06 23:53:46 -06:00 |
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|
953d3eb030
|
ugh
|
2024-12-06 22:35:30 -06:00 |
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42fafbaaca
|
actually fixed knowledge distillation because of errant -inf logits causing problems and needed to be filtered (and splitting text language / output audio language because it helps)
|
2024-12-06 21:55:20 -06:00 |
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