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06e948aec1
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suppress warning on exit about distributed not being cleaned up (because I updated my system)
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2024-07-25 16:50:47 -05:00 |
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1acb0e9c84
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added experimental training setting to perform token dropout to MAYBE compensate for errors from the preceding RVQ level (two types: token error offset, token dropout embedding replace)
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2024-07-24 19:35:17 -05:00 |
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188d116222
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some weird fixes for an equally weird regression with LoRA loading
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2024-07-22 20:47:24 -05:00 |
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75b04686f8
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added prom-less training / inferencing, some other things
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2024-07-22 19:36:07 -05:00 |
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e19aa643a6
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cleaned up demo page creation, added option to pass in RVQ level sampling distribution for training
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2024-07-21 19:12:03 -05:00 |
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d87b492295
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added rudimentary demo page creator (currently just embeds base64 wavs into the page, need to test not doing that)
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2024-07-19 20:49:40 -05:00 |
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d53038a9e4
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actually have split classifiers working
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2024-07-19 15:33:31 -05:00 |
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28a674e0f1
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fixes...
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2024-07-18 23:25:32 -05:00 |
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39f961abcd
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test trainer (vall_e.models.ar_nar) tests some SpeechX features
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2024-07-18 18:46:45 -05:00 |
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83a0954f85
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fixes for re-introducing SpeechX tasks (need to actually validate if these all do the right things)
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2024-07-18 17:16:32 -05:00 |
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97e768601c
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re-introducing SpeechX tasks (need to validate them all, everything works with base tts anyways)
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2024-07-18 16:16:14 -05:00 |
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c2b8035e74
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oops, kept forgetting to actually pass in lang/tone tokens (despite not really using these at the moment)
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2024-07-18 14:18:34 -05:00 |
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22fe53508c
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added experimental disjointed position IDs (because I *think* this might help because technically a sequence is made up of several parts, and the position embeddings shouldn't be unified)
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2024-07-16 19:52:41 -05:00 |
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fe0f235335
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mechanism to store the model config inside the weights and load them, some other things to allow LoRA training on the RetNet (gradient checkpointing will gripe about inputs not having require_grad and nothing seems to remedy it)
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2024-07-16 18:23:13 -05:00 |
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3acc54df22
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allow loading a different model within the web ui (apparently I did not have the web UI in the documentation)
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2024-07-15 19:59:48 -05:00 |
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7b210d9738
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sanity cleanup
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2024-07-04 15:58:08 -05:00 |
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f770467eb3
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stuff
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2024-07-01 18:13:29 -05:00 |
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dced595391
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more cleanup
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2024-06-30 11:00:12 -05:00 |
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bc2a6fa756
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sanity cleanup: moved experimental features under its own thing
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2024-06-30 10:37:33 -05:00 |
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b21f74a5c5
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added summing of external embeddings (at this point i dont think any amount of cope bandaids will get DAC to train nicely, I think the RVQ levels the NAR tends add too much noise if they're not accurate)
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2024-06-29 23:42:30 -05:00 |
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793ccb16fb
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ugh
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2024-06-29 22:14:35 -05:00 |
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2808f881c8
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cleaned up subjugated audio embedding into a flag, flag can also have it include the original, underlying embedding as well (it seems to do better when set to inclusive)
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2024-06-29 21:46:35 -05:00 |
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ec5eaebcbc
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experimental method of using DACs quantizer ""embeddings"" to see if it helps with model quality
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2024-06-29 19:46:11 -05:00 |
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a8718d35a4
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nasty bandaid because some of my DAC dataset only has 8 RVQ levels instead of the full 9
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2024-06-29 10:16:37 -05:00 |
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591d3ac848
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have eval dataloader use eval batch size for batchedordersampler
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2024-06-28 22:44:00 -05:00 |
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83075c1505
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sort duration buckets to ensure that paths sorted-by-duration are actually sorted by duration (because i didnt know that python dicts can have non-strings as keys), added batching samples based on total duration to ensure best training throughput
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2024-06-28 22:28:54 -05:00 |
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8a986eb480
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load exported LoRA weights if exists (to-do: make a better LoRA loading mechanism)
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2024-06-18 21:45:46 -05:00 |
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2bfe786ebd
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ban stop token for NAR levels (because sometimes it gets sampled and causes problems)
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2024-06-17 22:14:43 -05:00 |
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7cfb78fa64
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enable LoRA for targetted RVQ levels (to experiment with, seems to help)
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2024-06-17 21:45:03 -05:00 |
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7047fcc6e2
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actually make deepspeed work with LoRAs
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2024-06-17 13:55:37 -05:00 |
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1d159b1476
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updated export routine to split LoRA weights from the state dict (should work with deepspeed)
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2024-06-17 13:28:18 -05:00 |
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bd0bc10ec0
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added LoRA policy to decide what layer of the model gets adapted based on simple inclusion/exclusion terms
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2024-06-17 13:05:06 -05:00 |
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be051d9544
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added other LoRA method using parametrization rather than linear injection
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2024-06-17 09:58:34 -05:00 |
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45a39fb79f
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very rudimentary lora support (no deepspeed support, tested training and saving but not loading yet)
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2024-06-17 00:09:16 -05:00 |
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19410a919e
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ugh
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2024-06-15 12:29:03 -05:00 |
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d343bde09b
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residual_in_fp32=False for mamba arch backends because it breaks the classifier (output projection / lm head / what-have-you) under AMP
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2024-06-15 12:08:03 -05:00 |
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ccb14c06ef
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mamba2-hf using vasqu/mamba2-torch because it lets me use mamba2 without triton ops (training with my 4xV100s are not happy with mamba2 because of triton)
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2024-06-14 19:42:17 -05:00 |
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83eab4fa59
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actually going for the suggested "2x layers, no intermediate scaling" is wrong for VALL-E, directly copying the normal transformer structure fixes mamba2 performance in the test trainer
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2024-06-13 20:08:22 -05:00 |
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26da24fd8d
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mamba updated to fix that pesky NaN error during training
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2024-06-13 12:38:33 -05:00 |
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bcf3910a17
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the NAR only dream is dead (it just won't work)
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2024-06-12 19:49:47 -05:00 |
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a9353cf9fa
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ugh
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2024-06-12 00:14:29 -05:00 |
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cca542a4c0
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ugh
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2024-06-11 23:59:28 -05:00 |
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65a8960305
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option to split classifier per-level instead of sharing one (at this point I'm just scrambling to try and cope with training a DAC model, the NAR is being a pain)
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2024-06-11 22:28:59 -05:00 |
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a7a6e0ac76
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validated that inferencing works, changed some defaults (NAR benefits from greedy sampling)
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2024-06-09 17:11:38 -05:00 |
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132a02c48b
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sanity cleanup, backup config yaml for each log file
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2024-06-09 11:22:52 -05:00 |
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80f9530840
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ugh
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2024-06-09 01:43:44 -05:00 |
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5c732b72ee
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ugh
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2024-06-08 20:34:00 -05:00 |
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8d068fa3f9
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reticulating splines
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2024-06-08 20:30:15 -05:00 |
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b072f9b96b
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fixes
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2024-06-08 16:01:34 -05:00 |
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58fb0a84db
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added experimental NAR only model (inferences text length, need more experimenting), AudioEmbedding logic cleanup (I still think it's being done wrong)
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2024-06-08 15:42:02 -05:00 |
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