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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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f7b8b1e825
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dropped subtrain dataloader since its useless to duplicate
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2024-11-11 17:00:49 -06:00 |
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cf9df71f2c
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use homwbrewed caching system for dataloader paths / durations (I'm pretty sure I am now triggering OOM killers with my entire dataset used)
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2024-11-11 16:32:08 -06:00 |
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9def34cd66
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lol
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2024-11-10 12:48:41 -06:00 |
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9cb0b6901b
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unified nar.py into ar_nar.py
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2024-11-10 12:19:48 -06:00 |
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3826f9bae4
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saner mask creation? (it doesnt matter, kv cache wont work)
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2024-11-02 21:00:21 -05:00 |
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ef1c17430f
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skip step on nan loss (ironically I have not had a nan loss after adding this), throw exception with invalid cfg.dataset.sample_type and sample_order combination (because I was tricked by this in my yaml and had inconsistent vram usage)
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2024-11-01 20:54:53 -05:00 |
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8eb9a4056b
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modified default arguments (ar temp = 0 and rep pen = 1.125 seems to be stable, at least given the few things i tested), do not pass top k/top p/min p to NAR even though technically none of those things should matter when greedy sampling
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2024-10-22 18:12:39 -05:00 |
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0dfab973e7
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oops
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2024-10-18 09:40:06 -05:00 |
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75b90be325
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cleaned up unused config flags, allow less strict yaml by pruning missing keys, renamed some dataset configs to be more unified
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2024-10-17 17:06:48 -05:00 |
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f88097ccf6
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add config option to set the rate of sampling randomly vs similar speakers during training
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2024-10-16 14:27:58 -05:00 |
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bef43a0c18
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added experimental entropix sampling support
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2024-10-11 21:18:26 -05:00 |
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85d85c1351
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more arg creep for demo page
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2024-10-10 19:40:01 -05:00 |
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75a4c866d6
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more demo page tweaks, added arg to force enable/disable LoRAs for inferencing (to-do: setup arg flags to handle this, and checkbox in web UI)
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2024-10-10 19:04:12 -05:00 |
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96d05be73c
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demo page tweaks
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2024-10-10 13:52:37 -05:00 |
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2ea978f318
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added --eval-random-text-prompts to use random text prompts for eval pass, added --random-prompts for demo page and --lora to use a sample with the lora disabled, probably finally fixed validation dataloader breaking on eval
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2024-10-10 13:40:25 -05:00 |
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ff7a1b4163
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coerce into path for other sampler_types (it's required for sampling for similar utterances)
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2024-09-26 18:37:56 -05:00 |
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f24547ad4e
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add top_k sampling / offset for prompt similar utterance sampling
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2024-09-26 16:26:40 -05:00 |
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c5e9142863
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added option to retokenize phonemes for hdf5 (to save having to remake my hdf5 file)
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2024-09-21 13:08:01 -05:00 |
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536c11c4ac
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actually validated and fixed sampling similar utterances for the prompt (hopefully nothing else is needed)
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2024-09-21 12:59:51 -05:00 |
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d31f27119a
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regex replace out the (lang) markers in espeak, updated tokenizer vocab as lazily as possible to not have unk tokens
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2024-09-21 12:29:28 -05:00 |
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769f67dcfe
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actually fix validation of phonemes in the symmap
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2024-09-21 12:19:34 -05:00 |
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fe241f6a99
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support for wildcard in training/validation/noise dataset array (to-do: a better way to query between metadata folder and data folder)
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2024-09-18 21:34:43 -05:00 |
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fa9d3f6c06
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lang fixes / reworked phoneme symmap validation
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2024-09-18 19:36:03 -05:00 |
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