Commit Graph

59 Commits

Author SHA1 Message Date
mrq
4a8e3ccf06 README tweaks, added --input-prompt-prefix as an experiment (its literally better to just not do this, but i'll retain it in case i have a revelation on how to improve it) 2024-10-04 18:57:19 -05:00
mrq
9da630f73a swap order of demo entries, as the model prioritizes adhering to the speaker prompt more (instead of trying to match the ground truth magically) 2024-09-25 23:31:24 -05:00
mrq
31e8b7edb8 tweaks and fixes for lora stuffs 2024-09-08 18:05:21 -05:00
mrq
5d66a7db52 webui cleanup, more tweaks, default to safetensors in config 2024-09-07 21:45:05 -05:00
mrq
32287710a2 moved prints to use logger, edited readme (fused_attn doesnt seem stable for training) 2024-08-29 13:27:16 -05:00
mrq
0d706ec6a1 added fused_attn (triton-based fused attention) and simply just query for flash_attn under rocm 2024-08-26 19:13:34 -05:00
mrq
d636edd3a2 added flash_attn LlamaAttention (including flash_attn==1.0.9) 2024-08-18 20:51:14 -05:00
mrq
eac353cd0b busy work and cleanup while I wait for 1TB of audio to quantize... again. 2024-08-06 20:23:33 -05:00
mrq
d19f93a2c0 documentation update 2024-08-04 00:14:49 -05:00
mrq
11fa3da665 some cleanup, fixed the wrapper attention to explicitly use other sdpa backends 2024-08-03 19:51:00 -05:00
mrq
ebf848d249 possible speedup for samplers that require a list of previous tokens (the DRY sampler made me realize that I should copy the tolist() thing from the rep pen sampler for everything else) 2024-07-29 20:23:26 -05:00
mrq
55b0121b1a trying (and failing) to nail a weird regression in fancier attentions 2024-07-29 19:53:37 -05:00
mrq
ba7ee8c0ee added demo link to readme 2024-07-19 21:22:30 -05:00
mrq
3acc54df22 allow loading a different model within the web ui (apparently I did not have the web UI in the documentation) 2024-07-15 19:59:48 -05:00
mrq
7b210d9738 sanity cleanup 2024-07-04 15:58:08 -05:00
mrq
bc2a6fa756 sanity cleanup: moved experimental features under its own thing 2024-06-30 10:37:33 -05:00
mrq
dd40463803 limit eval size because the training batch size seems to be used for the eval dataloader, somehow (bandaid) 2024-06-29 09:11:28 -05:00
mrq
5176ced35f readme tweaks 2024-06-28 21:02:54 -05:00
mrq
7cfb78fa64 enable LoRA for targetted RVQ levels (to experiment with, seems to help) 2024-06-17 21:45:03 -05:00
mrq
da8242d086 finally got around to removing omegaconf 2024-06-07 20:23:53 -05:00
mrq
880b4ecd1b cleanup, putting some thoughts in comments before I forget about them 2024-06-05 19:50:06 -05:00
mrq
ddbacde0d1 DAC just doesn't work well enough...... 2024-05-25 11:07:52 -05:00
mrq
230da8b559 should be the final things to scramble around for, DAC's 24KHz model is unusable for this, but both encodec's 24KHz and DAC's 44KHz work 2024-05-12 13:22:08 -05:00
mrq
2437a86efa ugh 2024-05-12 13:02:15 -05:00
mrq
71e373064f remove redundant loss, tweak readme 2024-05-11 15:02:47 -05:00
mrq
33b7f81b94 small cleanups 2024-05-04 22:37:22 -05:00
mrq
8aa1b2dabf documentation update 2024-05-04 21:03:46 -05:00
mrq
277dcec484 apparently I got an error for trying to serialize an errant tensor that made its way into the json, this could be remedied easily with recursively traversing the dict and coercing any objects to primitives, but I'm tired and I just want to start training and nap 2024-05-04 12:33:43 -05:00
mrq
545162195b deprecate sole AR/NAR model by only keeping the AR+NAR (the beauty of no one using this is that I can break compat as much as I want), add tone token for when I classify my dataset with tone/emotion in the future, some other things 2024-04-15 19:54:32 -05:00
mrq
35d78a2bb0 Yet Another Underlying Transformer Implementation (BitNet, will give it a few days to see how it fares) 2024-02-29 20:29:17 -06:00
mrq
0db3203b21 added LLaMA/Mixtral (if experts>1) model arches, utilize XMoE's loss as well, set MoE frequency to 1 to make every layer MoE'd for RetNet, etc. (going to do tests without burning out again to see how things go) 2023-12-22 19:27:36 -06:00
mrq
6c51a629cc resetting step count resets the samples processed and other metrics 2023-10-29 12:11:19 -05:00
mrq
fb467b19ba exposed rolling resp context to the web UI, added passing in language to inferencing command line 2023-10-12 23:21:01 -05:00
mrq
99e980d323 documentation and more better-er attribution 2023-10-10 17:15:16 -05:00
mrq
1fd91b6437 cleanup 2023-10-06 10:13:54 -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
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
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
23a5fdd645 implemented a naive beam search (I really should be taking a break) 2023-09-12 21:28:07 -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
4613781e23 integrated plot script, added tts-c task token to help the model be able to mix between normal VALL-E and VALL-E continuous 2023-09-02 16:29:53 -05:00
mrq
f7e942ec99 modified plotting script to be more agnostic to X 2023-09-02 13:59:43 -05:00
mrq
6455a2f9d7 I think I fixed a bug? 2023-08-24 23:33:36 -05:00
mrq
f3fbed5ffd updated notices tailored for windows / low VRAM cards 2023-08-24 17:19:10 -05:00
mrq
00ad4af651 updated draconian requirement for espeak-ng to be installed and the env var set to the dll for Windows 2023-08-24 14:57:01 -05:00
mrq
9c5a33bfd2 added repo with my weights so far 2023-08-22 13:09:44 -05:00
mrq
f7f6d3bf6d validated that SpeechX tasks cse and nse works, added a method to test each task by invoking python3 -m vall_e.data --action=tasks --tasks='sr,se,cse,nse' 2023-08-19 09:50:07 -05:00
mrq
0b46c1e312 god I am inexperienced with retaining compat from previous weights, I hope no one actually has weights 2023-08-18 21:29:20 -05:00