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f3c59c3e7e
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cleaner replacement code (because I realized BitNet had an implementation for it too), added calculating gradient norm and performing gradient clipping in local trainer (non-deepspeed)
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2024-03-01 20:18:43 -06:00 |
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47435207f7
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Added cfg.bitsandbytes.replace as a less intrusive alternative to cfg.bitsandbytes.inject to replace all Linear modules in a model
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2024-03-01 19:20:10 -06:00 |
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0427d8d076
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logger broke for some reason, added flag to just tqdm.write instead, make cfg.bitsandbytes.bitnet==True yamls denoted since I'm sure they're not interoperable
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2024-03-01 10:32:35 -06:00 |
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35d78a2bb0
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Yet Another Underlying Transformer Implementation (BitNet, will give it a few days to see how it fares)
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2024-02-29 20:29:17 -06:00 |
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cce929e136
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nasty hotfix for transformer's Mixtral throwing an error when batch sizes > 1
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2024-01-26 19:41:12 -06:00 |
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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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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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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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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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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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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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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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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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5ac119a6e7
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added light web UI (need to port the telemetry disabling bandaids from aivc)
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2023-09-09 16:17:20 -05:00 |
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67617d7d69
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also cull frozen_params in the params optimizer receives to reduce VRAM it consumes
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2023-09-07 18:27:02 -05:00 |
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8837bc34d7
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added option to specify parameters to freeze per-model in YAML (because I need to see about committing atrocities with convering an AR into an AR+NAR)
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2023-09-07 18:19:51 -05:00 |
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ab5134f385
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tweaks and fixes
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2023-09-07 17:08:38 -05:00 |
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e7a67410d1
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oops
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2023-09-07 09:14:03 -05:00 |
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712808494f
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added support for optional prodigy optimizer (https://github.com/konstmish/prodigy) although it consumes a lot more VRAM per parameter
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2023-09-06 20:33:16 -05:00 |
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100ca6b7d0
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added option to use SGD optimizer through the YAML, added option to pass in additional optimizer parameters through the YAML, added experimental unified AR+NAR model (does not seem fruitful in testing)
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2023-09-06 18:58:35 -05:00 |
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8a6c203277
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added per-speaker samplers
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2023-09-03 21:27:13 -05:00 |
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81b05dabb9
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accurate epoch metric is now reported (based on samples processed / length of dataset's paths, rather than naive assumptions)
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2023-09-03 08:03:36 -05:00 |
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57db3ccfa8
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shuffled VALL-E continuous as a task tts-c instead, logic fixes for it
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2023-09-02 12:23:40 -05:00 |
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7f4388e591
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added total samples processed and tokens processed (len of text tokens + len of target response tokens)
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2023-08-28 11:02:45 -05:00 |
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87c4bfedba
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added ability to mark models as disabled for training, and hotloading them for eval/validation (useful if training only one model, or training a model per GPU)
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2023-08-27 12:26:12 -05:00 |
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0517d620b8
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fixes with the local backend
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2023-08-24 17:05:56 -05:00 |
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501a857d5d
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ops
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2023-08-23 17:03:25 -05:00 |
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4585824cd3
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tweaks, including exporting on save/quit
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2023-08-23 16:43:03 -05:00 |
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b105f6211e
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added ability to export weights mid-training to avoid CBT to yank the weights while the training script is running
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2023-08-20 13:39:58 -05:00 |
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2d1a9f10c0
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nightmare of spaghetti that might break compat; mechanism to increase RVQ bins of an existing model without retraining, keeps sampled proms/resps at max RVQ level and trim off excess levels according to what model receives them, some other things I already forgot (I really hope no one else has weights being baked right now)
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2023-08-19 15:06:33 -05:00 |
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0b46c1e312
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god I am inexperienced with retaining compat from previous weights, I hope no one actually has weights
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2023-08-18 21:29:20 -05:00 |
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2a71486cb6
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preparing for SpeechX extensions
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2023-08-18 20:58:07 -05:00 |
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ced31fd9b7
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removed the sampler as it's very misleading
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2023-08-18 14:47:48 -05:00 |
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599e47a813
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might fix user inputted saving/quitting breaking when distributed
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2023-08-15 23:52:20 -05:00 |
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13571380be
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made exporter make more sense
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2023-08-13 22:56:28 -05:00 |
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d7deaf6def
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distributed training works now (hopefully)
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2023-08-13 22:07:45 -05:00 |
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2af09d0bef
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fixed that mysterious discepancy between the reported losses (I am so freaking mad, my piss is boiling, I had to interrupt halfway through an epoch)
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2023-08-05 15:25:41 -05:00 |
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d89568a96e
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some fixes for the local framework
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2023-08-05 03:22:15 +00:00 |
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c85101403f
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big cleanup
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2023-08-03 20:26:36 -05:00 |
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2e03e5ac93
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Fixed an issue with having fairseq installed at all will brick logging
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2023-08-02 22:57:10 -05:00 |
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f6597e2dfe
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adjustments
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2023-08-02 18:36:26 -05:00 |
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0f9b81de75
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oops
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2023-08-02 18:12:36 -05:00 |
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bf8cedc9dd
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Rewrite init
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2023-08-02 21:53:35 +00:00 |
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