|
|
7047fcc6e2
|
actually make deepspeed work with LoRAs
|
2024-06-17 13:55:37 -05:00 |
|
|
|
1d159b1476
|
updated export routine to split LoRA weights from the state dict (should work with deepspeed)
|
2024-06-17 13:28:18 -05:00 |
|
|
|
726a4b613f
|
naive, rudimentary DeepSpeed support (just live with the LoRA weights living with the original weights, they can be split later)
|
2024-06-17 13:17:24 -05:00 |
|
|
|
bd0bc10ec0
|
added LoRA policy to decide what layer of the model gets adapted based on simple inclusion/exclusion terms
|
2024-06-17 13:05:06 -05:00 |
|
|
|
be051d9544
|
added other LoRA method using parametrization rather than linear injection
|
2024-06-17 09:58:34 -05:00 |
|
|
|
45a39fb79f
|
very rudimentary lora support (no deepspeed support, tested training and saving but not loading yet)
|
2024-06-17 00:09:16 -05:00 |
|
|
|
19410a919e
|
ugh
|
2024-06-15 12:29:03 -05:00 |
|
|
|
d343bde09b
|
residual_in_fp32=False for mamba arch backends because it breaks the classifier (output projection / lm head / what-have-you) under AMP
|
2024-06-15 12:08:03 -05:00 |
|
|
|
ccb14c06ef
|
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)
|
2024-06-14 19:42:17 -05:00 |
|
|
|
31f71fa134
|
sampler update (some brainworm just never actually had a sampler for sample_type=path)
|
2024-06-14 16:55:40 -05:00 |
|
|
|
b3b67f34ac
|
added option to sort paths by durations to better group equally lengthed sequences together (and there was maybe a logic error from creating the samplers and then interleave-reordering paths, desyncing them, maybe)
|
2024-06-13 22:37:34 -05:00 |
|
|
|
83eab4fa59
|
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
|
2024-06-13 20:08:22 -05:00 |
|
|
|
26da24fd8d
|
mamba updated to fix that pesky NaN error during training
|
2024-06-13 12:38:33 -05:00 |
|
|
|
bcf3910a17
|
the NAR only dream is dead (it just won't work)
|
2024-06-12 19:49:47 -05:00 |
|
|
|
a9353cf9fa
|
ugh
|
2024-06-12 00:14:29 -05:00 |
|
|
|
cca542a4c0
|
ugh
|
2024-06-11 23:59:28 -05:00 |
|
|
|
65a8960305
|
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)
|
2024-06-11 22:28:59 -05:00 |
|
|
|
a7a6e0ac76
|
validated that inferencing works, changed some defaults (NAR benefits from greedy sampling)
|
2024-06-09 17:11:38 -05:00 |
|
|
|
234f9efc6e
|
ugh
|
2024-06-09 11:39:43 -05:00 |
|
|
|
132a02c48b
|
sanity cleanup, backup config yaml for each log file
|
2024-06-09 11:22:52 -05:00 |
|
|
|
8d92dac829
|
forgot I renamed this
|
2024-06-09 11:12:30 -05:00 |
|
|
|
80f9530840
|
ugh
|
2024-06-09 01:43:44 -05:00 |
|
|
|
5c732b72ee
|
ugh
|
2024-06-08 20:34:00 -05:00 |
|
|
|
8d068fa3f9
|
reticulating splines
|
2024-06-08 20:30:15 -05:00 |
|
|
|
ead3e2f0cb
|
ugh
|
2024-06-08 16:14:57 -05:00 |
|
|
|
b072f9b96b
|
fixes
|
2024-06-08 16:01:34 -05:00 |
|
|
|
58fb0a84db
|
added experimental NAR only model (inferences text length, need more experimenting), AudioEmbedding logic cleanup (I still think it's being done wrong)
|
2024-06-08 15:42:02 -05:00 |
|
|
|
e35a91c67a
|
ugh
|
2024-06-07 21:56:14 -05:00 |
|
|
|
7d6fff24f9
|
un-tensor'd quant_level marker since it doesn't need to be one (I forgot why I had it as one but nothing seems to need it as a tensor that didn't already make it one)
|
2024-06-07 20:46:22 -05:00 |
|
|
|
b0158a61d5
|
fixed some logic errors with training (grabbing wrong quant level...)
|
2024-06-07 20:34:36 -05:00 |
|
|
|
eafa622be2
|
I forgot the actual reason I was cleaning things up was to re-include prom loss calculation (I realized the reason I did this was because of an prom embedding oversight, it seems to work now)
|
2024-06-07 20:29:25 -05:00 |
|
|
|
da8242d086
|
finally got around to removing omegaconf
|
2024-06-07 20:23:53 -05:00 |
|
|
|
4ade2b60ee
|
ugh
|
2024-06-06 21:57:11 -05:00 |
|
|
|
f9f309281a
|
ugh
|
2024-06-06 20:55:27 -05:00 |
|
|
|
a5c90348d9
|
head hurt
|
2024-06-06 20:51:31 -05:00 |
|
|
|
516b0894d7
|
m
|
2024-06-06 19:41:26 -05:00 |
|
|
|
ee25d2e62e
|
removed the need to supply targ_list + different AudioEmbedding + other things
|
2024-06-06 18:52:41 -05:00 |
|
|
|
fcac9503e2
|
cleanup
|
2024-06-06 13:08:02 -05:00 |
|
|
|
b2194b859a
|
re-added loading multiple models because I'm now entertaining having split AR/NAR models again (and need a way to load both at once)
|
2024-06-06 09:48:43 -05:00 |
|
|
|
b05a905b95
|
ugh
|
2024-06-05 21:02:05 -05:00 |
|
|
|
4073656293
|
oops
|
2024-06-05 20:53:10 -05:00 |
|
|
|
ff6fe6f1bc
|
cleanup
|
2024-06-05 20:30:43 -05:00 |
|
|
|
880b4ecd1b
|
cleanup, putting some thoughts in comments before I forget about them
|
2024-06-05 19:50:06 -05:00 |
|
|
|
3cfc8a96bb
|
oops
|
2024-06-05 10:30:04 -05:00 |
|
|
|
48cd1054f9
|
madness
|
2024-06-04 23:48:51 -05:00 |
|
|
|
9e3f2e300f
|
experimental "just have a token for what rvq level we're on" that seems to help all models (mamba almost works, but it might just have to be relegated as a pure AR model)
|
2024-06-04 23:23:31 -05:00 |
|
|
|
e0886c5a78
|
re-added mamba as a possible non-experimental arch backend (test trainer will set it as AR only, doing any NAR tasks lobotomizes it)
|
2024-06-04 22:41:22 -05:00 |
|
|
|
687c71e028
|
disable accuracy calc because it breaks with actual batched training even though it shouldn't
|
2024-06-04 22:13:44 -05:00 |
|
|
|
d005e24953
|
oops
|
2024-06-04 22:10:04 -05:00 |
|
|
|
0f7f3ae754
|
added loss calc split and acc for experimental model
|
2024-06-04 22:04:40 -05:00 |
|
