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e727b6e5c1
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changed dynamic temperature trigger to be a min-(n)ar-temp value between [0,(n)ar-temp), flags to set min temp, checkbox in web UI to request it
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2023-10-10 17:02:33 -05:00 |
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ec25f56bd9
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used torch.max fixes things, somehow, for dynamic temp sampling
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2023-10-10 16:42:24 -05:00 |
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87db03dd93
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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)
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2023-10-09 22:03:58 -05:00 |
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893a610fad
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cleanup, use deepspeed inferencing pathway if requested
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2023-10-09 15:24:04 -05:00 |
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26fbb92ec6
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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)
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2023-10-09 14:46:17 -05:00 |
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29873e6ded
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extend the max temps in the web UI to actually allow dynamic temp sampling
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2023-10-09 13:30:45 -05:00 |
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27483e56f0
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disabled preparing of SpeechX tasks, added dynamic temperature testing (to-do: test it, credited in the function)
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2023-10-09 13:01:40 -05:00 |
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2deb995cc9
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updated setup script
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2023-10-06 20:08:28 -05:00 |
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1fd91b6437
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cleanup
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2023-10-06 10:13:54 -05:00 |
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3db7e7dea1
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implicitly load checkpoint if deepspeed checkpoint not found, updated setup script to grab the diskcached dataloader things
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2023-10-06 10:02:45 -05:00 |
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82f02ae9b1
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oops
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2023-10-06 09:26:52 -05:00 |
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2f2505b12f
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updated setup script
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2023-10-06 08:08:28 -05:00 |
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63cc9cf37a
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added compat flags for torchscale because the maintainer for torchscale broke compat for existing models
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2023-10-05 16:39:46 -05:00 |
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12cfc9e502
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added prodigyopt as a dependency because I keep forgetting
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2023-10-04 19:42:56 -05:00 |
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153f8b293c
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added min-x and min-y arguments to plot.py, helper script to download from my existing checkpoint
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2023-10-04 19:41:37 -05:00 |
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777ba43305
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oops
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2023-10-03 15:01:37 -05:00 |
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d12877ee09
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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
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2023-10-02 16:52:42 -05:00 |
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e85b798fbf
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set default NAR levels to max for the web UI
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2023-09-29 19:14:16 -05:00 |
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c7fb740d41
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do not specify a default dtype for the web UI, let it implicitly load from the yaml instead
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2023-09-24 17:54:03 -05:00 |
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4abd6564d1
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fixed training stats not loading from exported weights, a bit of a readme cleanup, updated example training yaml
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2023-09-23 19:59:00 -05:00 |
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9384900ce6
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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
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2023-09-22 13:04:17 -05:00 |
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e7da1eb90d
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edge case
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2023-09-20 19:20:17 -05:00 |
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c0b25541e3
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restructured some things with the model to remove dead weights
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2023-09-20 19:10:59 -05:00 |
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a6bfe43590
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added mirostat sampling (given a partially trained model, it got far decent output than I expected, need to test on a better trained model)
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2023-09-18 18:55:41 -05:00 |
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2567e082b5
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UGH
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2023-09-16 00:26:13 -05:00 |
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22ffaf3a33
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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
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2023-09-15 19:08:44 -05:00 |
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4aef798135
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added picking final candidate based on sum of score instead of first candidate (this changes nothing).
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2023-09-13 13:19:11 -05:00 |
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23a5fdd645
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implemented a naive beam search (I really should be taking a break)
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2023-09-12 21:28:07 -05:00 |
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a6ae344e5b
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some comments
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2023-09-12 16:04:45 -05:00 |
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d07c63b9d8
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unified more things with training the AR+NAR monolothic model
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2023-09-12 15:54:41 -05:00 |
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40ef34e1ca
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this embedding class definitely works, and migrating from the previous embedding weights seems to work.
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2023-09-11 14:13:42 -05:00 |
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a1f250ffac
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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.
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2023-09-10 20:33:33 -05:00 |
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671dca88ee
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throw error when no reference audio is provided in the web UI because someone keeps doing that in the HF space
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2023-09-10 15:50:50 -05:00 |
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ba71020318
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added option to limit (or exceed) inferenced RVQ-bin levels through the NAR
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2023-09-10 13:50:13 -05:00 |
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c74fe2f718
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tweaks to web UI
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2023-09-09 22:27:20 -05:00 |
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7f8bd2b936
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added printing elasped inference time
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2023-09-09 20:05:03 -05:00 |
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4f61f5c889
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added option to set the trim length for an input prompt
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2023-09-09 18:04:44 -05:00 |
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d10053d11f
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render README.md markdown for huggingface space
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2023-09-09 17:04:51 -05:00 |
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bc30026377
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added advanced sampler parameters to the web UI
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2023-09-09 16:51:36 -05:00 |
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5ac119a6e7
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added light web UI (need to port the telemetry disabling bandaids from aivc)
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2023-09-09 16:17:20 -05:00 |
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10c34c5b98
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added a length-based decay factor for repetition penalty
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2023-09-08 21:02:00 -05:00 |
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b922f35b6b
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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
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2023-09-08 20:43:36 -05:00 |
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14c78bae39
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added lots of sampling options (top-k/top-p, repetition penalty, length penalty)
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2023-09-08 20:30:54 -05:00 |
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f69aad9c65
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some day I'll get it right
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2023-09-08 15:36:26 -05:00 |
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b2907ae7e0
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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
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2023-09-08 01:03:24 -05:00 |
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67617d7d69
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also cull frozen_params in the params optimizer receives to reduce VRAM it consumes
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2023-09-07 18:27:02 -05:00 |
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8837bc34d7
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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)
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2023-09-07 18:19:51 -05:00 |
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c47fc3274e
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added backwards compat flag
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2023-09-07 17:12:17 -05:00 |
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ab5134f385
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tweaks and fixes
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2023-09-07 17:08:38 -05:00 |
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b2c2dec291
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added homebrewed per-RVQ-bin embedding solutions
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2023-09-07 16:48:02 -05:00 |
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