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mrq
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vall-e
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vall-e
/
vall_e
/
utils
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mrq
8eb9a4056b
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
2024-10-22 18:12:39 -05:00
..
__init__.py
cleaned up unused config flags, allow less strict yaml by pruning missing keys, renamed some dataset configs to be more unified
2024-10-17 17:06:48 -05:00
distributed.py
moved prints to use logger, edited readme (fused_attn doesnt seem stable for training)
2024-08-29 13:27:16 -05:00
io.py
actually fix validation of phonemes in the symmap
2024-09-21 12:19:34 -05:00
pattern.py
oops, kept forgetting to actually pass in lang/tone tokens (despite not really using these at the moment)
2024-07-18 14:18:34 -05:00
sampler.py
added prom-less training / inferencing, some other things
2024-07-22 19:36:07 -05:00
trainer.py
moved prints to use logger, edited readme (fused_attn doesnt seem stable for training)
2024-08-29 13:27:16 -05:00
unsloth.py
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
2024-10-22 18:12:39 -05:00
utils.py
made greedy AR sampling viable (and preferable), with caveats (per comment in vall_e.models.ar_nar)
2024-10-18 16:55:00 -05:00
wrapper.py
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
2024-10-22 18:12:39 -05:00