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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
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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
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tweaks to processing script
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2025-02-10 19:18:13 -06:00 |
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b3f9b76fd9
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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
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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
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more tweaks
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2025-02-06 23:26:26 -06:00 |
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67a9401cce
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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
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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
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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
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oops
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2025-02-05 10:25:03 -06:00 |
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bb2ebe1ca2
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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
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oops
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2025-01-21 11:59:24 -06:00 |
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69c1d2991f
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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
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oops
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2025-01-05 23:53:17 -06:00 |
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b445f4abb6
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experimental
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2025-01-05 19:05:00 -06:00 |
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2e6a7625e4
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experimental
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2025-01-05 12:47:03 -06:00 |
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31cfef59c4
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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.......
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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
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cleaup
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2024-12-24 23:14:32 -06:00 |
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82e8592f2a
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working vall_e.cpp
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2024-12-24 17:54:48 -06:00 |
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497bdfc67b
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more work (the wall is non-causal decoding......)
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2024-12-22 20:11:31 -06:00 |
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5f289db275
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ugh
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2024-12-22 16:15:24 -06:00 |
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