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c5475ebc91
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another dataloader optimization
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2025-03-15 20:18:58 -05:00 |
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bee2688dea
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ugh
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2025-03-15 16:50:21 -05:00 |
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2053580838
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updated dataloader to hopefully reduce RAM usage
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2025-03-15 13:14:37 -05:00 |
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00d1fed217
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another optimization (within the dataloader because the similar utterance sampler was mondo slow)
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2025-03-08 17:10:50 -06:00 |
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dbd34b6430
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add specialized calc_loss because schizo
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2025-03-07 18:44:11 -06:00 |
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3f1070f575
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tweaks
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2025-03-02 22:36:25 -06:00 |
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b97faa8173
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fixes...
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2025-02-28 18:53:07 -06:00 |
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06ef3daf3c
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require minimum of 1 second durations for training because of my slop code auto-transposing that I don't wanna fix right now
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2025-02-26 22:00:33 -06:00 |
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2ea387c08a
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segregated experimental changes into its own streamlined file to avoid breaking the existing model, and it can pivot to the cleaned up code if it actually works (nothing is working)
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2025-02-26 21:26:13 -06:00 |
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d33ccd188a
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ugh
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2025-02-23 12:31:07 -06:00 |
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67a6009555
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(finally) added parallel AR for cfg.model.version >= 7 (nvidia/audio-codec-44khz is being a pain and it might require training purely AR first......)
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2025-02-23 08:31:03 -06:00 |
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15b3c20e19
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also throw exception for zero'd out tensor during training (I am very paranoid now)
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2025-02-22 14:09:41 -06:00 |
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ab0abd2b12
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fixes fixes fixes (a quarter of my recently processed audio returned zero'd tensors......)
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2025-02-22 09:07:33 -06:00 |
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e8f182b634
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cleaned up loss calc code (it REALLY hates ignore_loss_for_inputs, but is fine with splitting with loss factors)
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2025-02-13 09:35:27 -06:00 |
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e029a8804d
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ironically none of this cruft gets the loss lower than the original way
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2025-02-12 11:17:00 -06:00 |
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e5916ea519
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for my sanity it seems having extraneous tokens in the embedding/classifier has the loss/acc a little higher than it should
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2025-02-11 14:47:35 -06:00 |
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d4a6709fb4
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stopgap cringe to get this training session working (it does not seem fruitful)
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2025-02-11 13:45:09 -06:00 |
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d6a679ca5c
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tweaks
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2025-02-10 20:53:08 -06:00 |
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b3f9b76fd9
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invalidate a path if loading via metadata and entry is not in hdf5 (to avoid reparsing my metadata since I'm using a partial copy of my dataset at the moment)
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2025-02-10 14:43:15 -06:00 |
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47eb498046
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more tweaks
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2025-02-06 23:26:26 -06:00 |
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3ab11bdc7b
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oops
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2025-01-05 23:53:17 -06:00 |
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2e6a7625e4
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experimental
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2025-01-05 12:47:03 -06:00 |
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9b0d2ccbe1
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2024-12-26 21:42:17 -06:00 |
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d85273609e
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corrected export.py's --hf
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2024-12-20 15:17:13 -06:00 |
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53230efd74
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changed prompt_inject_noise to prompt_inject_noise_p so I can have another reason to do this post-training
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2024-12-19 19:28:50 -06:00 |
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8838babcba
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sanity checks (and I realized that the model actually had langs set to 4 in the yaml for KO/ZH so................
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2024-12-19 19:08:57 -06:00 |
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7617b6485f
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instead just compute a bunch of stuff on the transcriptions to store later in different names so I can just retrieve what I want, also added tongue twisters for nefarious reasons
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2024-12-18 23:43:11 -06:00 |
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4775edaa41
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added text cleaning/normalization for wer purposes but it amounts to nothing desu
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2024-12-18 19:58:53 -06:00 |
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ed152f78df
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tweaks to prompt duration to allow me to divorce how i use it for training with how I'm using it for the demo page, and demo page tweaks to make my life easier
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2024-12-17 19:33:04 -06:00 |
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9a62e3b824
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APOLLO cringe (doesn't want to work with deepspeed)
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2024-12-12 00:31:58 -06:00 |
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20b87bfbd0
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store metrics and only recalculate them if the output file is newer than the metrics file
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2024-12-11 20:55:43 -06:00 |
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6468e5d124
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lol
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2024-12-11 19:10:32 -06:00 |
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8568a93dad
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added WER/SIM-O metrics, added APOLLO but I need to test it
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2024-12-10 20:13:21 -06:00 |
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a6c745bafb
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chinese (mandarin?) support added (I guess I don't need pinyin, but tone markers are handled), korean validated, vocab adjusted
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2024-12-09 14:26:19 -06:00 |
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1d460b9fe3
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logic fixes, I feel like output is better? (also NAR can have a temperature, I imagine it couldn't because it was having a causal masked passed to it for the longest time before I caught it a month ago)
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2024-12-08 14:52:47 -06:00 |
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4e21df8092
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oops
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2024-12-04 21:24:22 -06:00 |
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93d27be539
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rolling context finally (use last N utterances as the prefix for the next gen), option to split input text prompt by sentences instead of lines (or no splitting)
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2024-12-04 20:31:44 -06:00 |
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dcaf38b359
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fixed training tqdm being stubborn
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2024-11-23 09:45:23 -06:00 |
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24d888c47c
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temporarily dropping support for xformers because it's breaking when using an attention mask (which i dont remember commenting it out when being passed), default to not use wandb because it's being a pain when doing tests and not actual sessionsS)
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2024-11-22 11:29:12 -06:00 |
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6845c447c9
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added more harvard sentences to load from a text file
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2024-11-21 13:18:11 -06:00 |
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2b29790173
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oops
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2024-11-18 14:12:26 -06:00 |
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4a71981456
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normalize sampler index by batch size (if not using batched sampler), add option to cap out utterances for a speaker, some other things
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2024-11-18 12:46:50 -06:00 |
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39096f8ff3
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redid loss calculation to be cleaner, and position ID generation, and other things (I might need to train the NAR-len from scratch and not resume from an existing checkpoint.........)
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2024-11-14 22:17:47 -06:00 |
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e412e98125
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ugh
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2024-11-14 07:34:22 -06:00 |
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c00fc18b62
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actually use the right embedding for nar-len
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2024-11-13 18:04:04 -06:00 |
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976ee87f6f
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resume iteration step in tqdm trainer, warn to logger if the sampler state dict was invalidated
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2024-11-13 09:09:28 -06:00 |
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0f2584eba7
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new meme sampler PogChamp new meme sampler PogChamp (it sort of helps?)
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2024-11-12 22:30:09 -06:00 |
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2495a7ef67
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Fixed STT in the web UI
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2024-11-12 12:49:53 -06:00 |
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2f56696506
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overhauled inference/sampler kwargs to stop being a bloated mess
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2024-11-11 20:21:16 -06:00 |
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354f8e059d
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store dataset hash alongside state dict so it can be ignored if mismatched
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2024-11-11 18:16:56 -06:00 |
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