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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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312a8e3ead
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add shuffle to samplers that can support it
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2024-06-30 11:36:46 -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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793ccb16fb
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ugh
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2024-06-29 22:14:35 -05:00 |
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c4dd523b6f
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change from chunk-slicing paths for distributed dataloader to instead interleave
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2024-06-29 10:10:35 -05:00 |
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dd40463803
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limit eval size because the training batch size seems to be used for the eval dataloader, somehow (bandaid)
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2024-06-29 09:11:28 -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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8fffb94964
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backport fix from tortoise_tts with local trainer + loading state when training lora
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2024-06-25 13:41:29 -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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31f71fa134
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sampler update (some brainworm just never actually had a sampler for sample_type=path)
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2024-06-14 16:55:40 -05:00 |
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b3b67f34ac
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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)
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2024-06-13 22:37:34 -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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234f9efc6e
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ugh
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2024-06-09 11:39:43 -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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4ade2b60ee
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ugh
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2024-06-06 21:57:11 -05:00 |
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014e565c4b
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tweaks
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2024-06-04 20:41:13 -05:00 |
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6d5bd0156a
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fixes
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2024-06-04 18:50:48 -05:00 |
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ed3aeaf3a1
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copy pasted from test to actual trainer
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2024-06-04 18:40:30 -05:00 |
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0aa01ba31a
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forgot one crucial detail (you *need* the previous RVQ level to keep coherence between all RVQ levels) (experimental deinterleaved is a bit crusty though)
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2024-06-04 18:30:30 -05:00 |
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406ff7bbe1
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re-implemented config.model.interleave for the HF-compat experimental method
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2024-06-04 14:19:52 -05:00 |
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c93d5863fd
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fixes
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2024-06-04 00:07:00 -05:00 |
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934672252b
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feverish cleanup
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2024-06-03 21:28:49 -05:00 |
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8cf176ab46
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ugh
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2024-06-01 10:46:42 -05:00 |
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d0ebce6bac
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ugh
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2024-06-01 10:30:13 -05:00 |
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74df2f5332
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split sampler dict by global_rank, also handle splitting dataset paths by global_rank if sampler_type == path (because I do not trust DistributedSampler) (need to test)
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2024-06-01 09:29:49 -05:00 |
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ddbacde0d1
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DAC just doesn't work well enough......
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2024-05-25 11:07:52 -05:00 |
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e3ef89f5aa
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100x better for subtrain/eval to be by group instead
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2024-05-19 16:40:14 -05:00 |
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4bc7e5a6d1
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fix loading without needing an hdf5 dataset already prepped (and some other incidental speedups during dataloader prep)
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2024-05-18 07:14:26 -05:00 |
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d88a5ca183
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ugh
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2024-05-16 07:25:33 -05:00 |
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d9aabfa3ae
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final tweaks, hopefully, again
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2024-05-15 23:04:19 -05:00 |
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2437a86efa
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ugh
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2024-05-12 13:02:15 -05:00 |
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4f1593c8db
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a bunch of shit to salvage my old encodec-quantized audio because dac-encoded audio just does not want to converge
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2024-05-12 10:17:29 -05:00 |
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14709ac67f
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ughh
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2024-05-12 07:30:59 -05:00 |
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3774fcbdee
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ugh
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2024-05-11 22:58:38 -05:00 |
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4d93a16ef7
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might just be better to explicitly define prompt duration ranges, especially under a "train small contexts then increase it" training paradigm
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2024-05-11 09:50:54 -05:00 |
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0d5d545a40
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crammed in DAdaptation (doesn't seem worth it) and ScheduleFree (forgot I wanted to weeks ago, seems promising), optimization wrapper cleanup, test trainer changes, etc.
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2024-05-09 20:28:20 -05:00 |
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c6e0f905b5
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final tweaks (again) before training restarts
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2024-05-08 02:11:38 -05:00 |
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33b7f81b94
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small cleanups
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2024-05-04 22:37:22 -05:00 |
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ffa200eec7
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added option to specify frames per second for the given audio representation (Encodec is 75Hz, DAC is 41Hz (at 24K sources))
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2024-05-04 12:05:41 -05:00 |
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b5d1456a09
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backwards compat for my shitty old weights (was testing if disabling AudioEmbedding summing magically made things better (it did not))
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2024-04-29 22:14:01 -05:00 |
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6a11bc9cb6
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update tokenizer because, for some reason, it had the wrong order for the special tokens to where eos = unk
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2024-04-29 09:09:26 -05:00 |
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57810e4ba4
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metadata only path (might drop HDF5 since its giving file sizes twice as large as my actual unpacked dataset)
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2024-04-28 23:03:09 -05:00 |
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caad7ee3c9
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final tweaks, hopefully
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2024-04-28 22:28:29 -05:00 |
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ffc334cf58
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added dataset transcription helper script (now I don't ever have to touch ai-voice-cloning) (to-do: unify scripts into the module)
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2024-04-21 17:43:20 -05:00 |
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071fb97777
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dataset preparation script updates, caved and am using HF tokenizer now
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2024-04-21 14:49:18 -05:00 |
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8214aa23d7
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converting over to a different intermediary dataset format
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2024-04-18 21:24:06 -05:00 |
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4f5c9e518a
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actually use the passed-through sample rate from encode for DAC because it does its own resampling I guess
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2024-04-18 13:32:41 -05:00 |
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