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9c198eb75a
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added torchscale XMOE integration (because Mixtral 8x7B seems very promising and I want to see if it works)
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2023-12-20 18:45:58 -06:00 |
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6c51a629cc
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resetting step count resets the samples processed and other metrics
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2023-10-29 12:11:19 -05:00 |
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0aa2a3cc07
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evaluation/validation passes language ID during training (oops)
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2023-10-29 12:00:40 -05:00 |
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ed54f4ebec
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un 'experimental' the better target sequence preparation
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2023-10-22 09:06:59 -05:00 |
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9a6040383e
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make validation samplers ignore sampler type
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2023-10-22 09:01:47 -05:00 |
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32d4271ca8
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fixed issue with training from scratch (oops)
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2023-10-21 09:55:38 -05:00 |
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3195026dba
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fixed issue with the 'add another target audio to artificially create longer sequences' for HDF5 just duplicating the utterance initially sampled
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2023-10-18 20:38:33 -05:00 |
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09cda7d3f9
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added sampling by speaker group name (might be better to de-emphasize the LibriVox/Audiobooks that are in large numbers, and emphasize the smaller pools), log cleanup
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2023-10-16 19:30:38 -05:00 |
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a539f6889f
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mucked around with the loss calculation, this seems better?
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2023-10-13 18:22:21 -05:00 |
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fb467b19ba
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exposed rolling resp context to the web UI, added passing in language to inferencing command line
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2023-10-12 23:21:01 -05:00 |
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298fd9a5f9
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fixed issue with webui
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2023-10-12 22:49:25 -05:00 |
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65f500083d
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tweaks to try and get deepspeed quantized inferencing, validating bitsandbytes and deepspeed quantization, nothing seems to work
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2023-10-12 22:21:43 -05:00 |
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08bae355eb
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actually use langs from the dataloader
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2023-10-11 21:21:50 -05:00 |
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3af19d79fd
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oops
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2023-10-11 20:49:54 -05:00 |
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8740cdefc6
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added initial support for languages (still testing, marked as model version 3), added experimental 'context extend by limiting the resp context' (untested)
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2023-10-11 20:38:40 -05:00 |
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6045cbce94
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added experimental option to append utterances for training target (emphasis on experimental)
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2023-10-11 17:32:45 -05:00 |
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7facacf7c9
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separated samplers into its own file, don't bother copying the logits back to the GPU after sampling, it's not necessary
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2023-10-11 12:25:31 -05:00 |
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100dd164e6
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apply phoneme cleanup in inferencing as well
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2023-10-10 19:21:19 -05:00 |
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b4405c98ea
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remove double spaces in the text phonemes (might have caused problems.........)
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2023-10-10 19:18:24 -05:00 |
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47b3077415
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fixed mirostat issue
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2023-10-10 18:09:49 -05:00 |
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99e980d323
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documentation and more better-er attribution
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2023-10-10 17:15:16 -05:00 |
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e727b6e5c1
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changed dynamic temperature trigger to be a min-(n)ar-temp value between [0,(n)ar-temp), flags to set min temp, checkbox in web UI to request it
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2023-10-10 17:02:33 -05:00 |
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ec25f56bd9
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used torch.max fixes things, somehow, for dynamic temp sampling
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2023-10-10 16:42:24 -05:00 |
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87db03dd93
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trim the input prompt to 3 seconds when training NAR tasks (marked as experimental; the paper mentions doing so, but I don't know how much this would harm the retention heads)
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2023-10-09 22:03:58 -05:00 |
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893a610fad
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cleanup, use deepspeed inferencing pathway if requested
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2023-10-09 15:24:04 -05:00 |
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26fbb92ec6
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reduced dynamic temperature threshold to > 1.0, as it seems to not quite be useful for audio LMs, sped up any sampling that touches logits by copying them to CPU first, as accessing tensors on the GPU is slow as balls)
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2023-10-09 14:46:17 -05:00 |
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29873e6ded
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extend the max temps in the web UI to actually allow dynamic temp sampling
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2023-10-09 13:30:45 -05:00 |
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27483e56f0
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disabled preparing of SpeechX tasks, added dynamic temperature testing (to-do: test it, credited in the function)
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2023-10-09 13:01:40 -05:00 |
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2deb995cc9
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updated setup script
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2023-10-06 20:08:28 -05:00 |
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1fd91b6437
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cleanup
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2023-10-06 10:13:54 -05:00 |
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3db7e7dea1
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implicitly load checkpoint if deepspeed checkpoint not found, updated setup script to grab the diskcached dataloader things
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2023-10-06 10:02:45 -05:00 |
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82f02ae9b1
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oops
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2023-10-06 09:26:52 -05:00 |
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2f2505b12f
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updated setup script
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2023-10-06 08:08:28 -05:00 |
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63cc9cf37a
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added compat flags for torchscale because the maintainer for torchscale broke compat for existing models
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2023-10-05 16:39:46 -05:00 |
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12cfc9e502
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added prodigyopt as a dependency because I keep forgetting
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2023-10-04 19:42:56 -05:00 |
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153f8b293c
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added min-x and min-y arguments to plot.py, helper script to download from my existing checkpoint
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2023-10-04 19:41:37 -05:00 |
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777ba43305
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oops
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2023-10-03 15:01:37 -05:00 |
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d12877ee09
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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
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2023-10-02 16:52:42 -05:00 |
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e85b798fbf
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set default NAR levels to max for the web UI
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2023-09-29 19:14:16 -05:00 |
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c7fb740d41
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do not specify a default dtype for the web UI, let it implicitly load from the yaml instead
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2023-09-24 17:54:03 -05:00 |
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4abd6564d1
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fixed training stats not loading from exported weights, a bit of a readme cleanup, updated example training yaml
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2023-09-23 19:59:00 -05:00 |
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9384900ce6
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revert the frankensteined "train one model but hotload the other" since it kept loading the last exported weights and I'm not supporting this usecase anymore anyways
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2023-09-22 13:04:17 -05:00 |
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e7da1eb90d
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edge case
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2023-09-20 19:20:17 -05:00 |
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c0b25541e3
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restructured some things with the model to remove dead weights
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2023-09-20 19:10:59 -05:00 |
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a6bfe43590
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added mirostat sampling (given a partially trained model, it got far decent output than I expected, need to test on a better trained model)
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2023-09-18 18:55:41 -05:00 |
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2567e082b5
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UGH
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2023-09-16 00:26:13 -05:00 |
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22ffaf3a33
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have loss for the NAR not-ignore the text prompt, I imagine this should help the NAR and explain why it's always had a bit of an issue with training
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2023-09-15 19:08:44 -05:00 |
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4aef798135
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added picking final candidate based on sum of score instead of first candidate (this changes nothing).
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2023-09-13 13:19:11 -05:00 |
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23a5fdd645
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implemented a naive beam search (I really should be taking a break)
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2023-09-12 21:28:07 -05:00 |
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a6ae344e5b
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some comments
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2023-09-12 16:04:45 -05:00 |
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