Commit Graph

183 Commits

Author SHA1 Message Date
mrq
ec25f56bd9 used torch.max fixes things, somehow, for dynamic temp sampling 2023-10-10 16:42:24 -05:00
mrq
87db03dd93 trim the input prompt to 3 seconds when training NAR tasks (marked as experimental; the paper mentions doing so, but I don't know how much this would harm the retention heads) 2023-10-09 22:03:58 -05:00
mrq
893a610fad cleanup, use deepspeed inferencing pathway if requested 2023-10-09 15:24:04 -05:00
mrq
26fbb92ec6 reduced dynamic temperature threshold to > 1.0, as it seems to not quite be useful for audio LMs, sped up any sampling that touches logits by copying them to CPU first, as accessing tensors on the GPU is slow as balls) 2023-10-09 14:46:17 -05:00
mrq
29873e6ded extend the max temps in the web UI to actually allow dynamic temp sampling 2023-10-09 13:30:45 -05:00
mrq
27483e56f0 disabled preparing of SpeechX tasks, added dynamic temperature testing (to-do: test it, credited in the function) 2023-10-09 13:01:40 -05:00
mrq
2deb995cc9 updated setup script 2023-10-06 20:08:28 -05:00
mrq
1fd91b6437 cleanup 2023-10-06 10:13:54 -05:00
mrq
3db7e7dea1 implicitly load checkpoint if deepspeed checkpoint not found, updated setup script to grab the diskcached dataloader things 2023-10-06 10:02:45 -05:00
mrq
82f02ae9b1 oops 2023-10-06 09:26:52 -05:00
mrq
2f2505b12f updated setup script 2023-10-06 08:08:28 -05:00
mrq
63cc9cf37a added compat flags for torchscale because the maintainer for torchscale broke compat for existing models 2023-10-05 16:39:46 -05:00
mrq
12cfc9e502 added prodigyopt as a dependency because I keep forgetting 2023-10-04 19:42:56 -05:00
mrq
153f8b293c added min-x and min-y arguments to plot.py, helper script to download from my existing checkpoint 2023-10-04 19:41:37 -05:00
mrq
777ba43305 oops 2023-10-03 15:01:37 -05:00
mrq
d12877ee09 added option to set probability of selecting the AR during training under a monolithic AR+NAR, added some more to-dos while I have them in mind 2023-10-02 16:52:42 -05:00
mrq
e85b798fbf set default NAR levels to max for the web UI 2023-09-29 19:14:16 -05:00
mrq
c7fb740d41 do not specify a default dtype for the web UI, let it implicitly load from the yaml instead 2023-09-24 17:54:03 -05:00
mrq
4abd6564d1 fixed training stats not loading from exported weights, a bit of a readme cleanup, updated example training yaml 2023-09-23 19:59:00 -05:00
mrq
9384900ce6 revert the frankensteined "train one model but hotload the other" since it kept loading the last exported weights and I'm not supporting this usecase anymore anyways 2023-09-22 13:04:17 -05:00
mrq
e7da1eb90d edge case 2023-09-20 19:20:17 -05:00
mrq
c0b25541e3 restructured some things with the model to remove dead weights 2023-09-20 19:10:59 -05:00
mrq
a6bfe43590 added mirostat sampling (given a partially trained model, it got far decent output than I expected, need to test on a better trained model) 2023-09-18 18:55:41 -05:00
mrq
2567e082b5 UGH 2023-09-16 00:26:13 -05:00
mrq
22ffaf3a33 have loss for the NAR not-ignore the text prompt, I imagine this should help the NAR and explain why it's always had a bit of an issue with training 2023-09-15 19:08:44 -05:00
mrq
4aef798135 added picking final candidate based on sum of score instead of first candidate (this changes nothing). 2023-09-13 13:19:11 -05:00
mrq
23a5fdd645 implemented a naive beam search (I really should be taking a break) 2023-09-12 21:28:07 -05:00
mrq
a6ae344e5b some comments 2023-09-12 16:04:45 -05:00
mrq
d07c63b9d8 unified more things with training the AR+NAR monolothic model 2023-09-12 15:54:41 -05:00
mrq
40ef34e1ca this embedding class definitely works, and migrating from the previous embedding weights seems to work. 2023-09-11 14:13:42 -05:00
mrq
a1f250ffac set default max_levels for NAR to 0 and implicitly set it to max resps levels because the previous way was implicitly assuming all models were outputting at 1+7 RVQ bins. 2023-09-10 20:33:33 -05:00
mrq
671dca88ee throw error when no reference audio is provided in the web UI because someone keeps doing that in the HF space 2023-09-10 15:50:50 -05:00
mrq
ba71020318 added option to limit (or exceed) inferenced RVQ-bin levels through the NAR 2023-09-10 13:50:13 -05:00
mrq
c74fe2f718 tweaks to web UI 2023-09-09 22:27:20 -05:00
mrq
7f8bd2b936 added printing elasped inference time 2023-09-09 20:05:03 -05:00
mrq
4f61f5c889 added option to set the trim length for an input prompt 2023-09-09 18:04:44 -05:00
mrq
d10053d11f render README.md markdown for huggingface space 2023-09-09 17:04:51 -05:00
mrq
bc30026377 added advanced sampler parameters to the web UI 2023-09-09 16:51:36 -05:00
mrq
5ac119a6e7 added light web UI (need to port the telemetry disabling bandaids from aivc) 2023-09-09 16:17:20 -05:00
mrq
10c34c5b98 added a length-based decay factor for repetition penalty 2023-09-08 21:02:00 -05:00
mrq
b922f35b6b added documentation on how these new sampling parameters are very iffy and you really need to know what you are doing to use them because this is audio generation and not text generation 2023-09-08 20:43:36 -05:00
mrq
14c78bae39 added lots of sampling options (top-k/top-p, repetition penalty, length penalty) 2023-09-08 20:30:54 -05:00
mrq
f69aad9c65 some day I'll get it right 2023-09-08 15:36:26 -05:00
mrq
b2907ae7e0 seems that my PromEmbedding/RespEmbedding doesn't actually work all that well, naively using dedicated MultiEmbeddings for AR/NAR in the monolithic model is the best way to go 2023-09-08 01:03:24 -05:00
mrq
67617d7d69 also cull frozen_params in the params optimizer receives to reduce VRAM it consumes 2023-09-07 18:27:02 -05:00
mrq
8837bc34d7 added option to specify parameters to freeze per-model in YAML (because I need to see about committing atrocities with convering an AR into an AR+NAR) 2023-09-07 18:19:51 -05:00
mrq
c47fc3274e added backwards compat flag 2023-09-07 17:12:17 -05:00
mrq
ab5134f385 tweaks and fixes 2023-09-07 17:08:38 -05:00
mrq
b2c2dec291 added homebrewed per-RVQ-bin embedding solutions 2023-09-07 16:48:02 -05:00
mrq
e7a67410d1 oops 2023-09-07 09:14:03 -05:00