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Inconseqeuential config change

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This commit is contained in:
Daniel Povey 2022-07-08 11:03:16 +08:00
parent be6680e3ba
commit e9ab1ddd39
1 changed files with 3 additions and 2 deletions
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5
egs/librispeech/ASR/pruned_transducer_stateless7/optim.py
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@ -67,7 +67,7 @@ class LearnedGradient(Optimizer):
param_min_rms=1.0e-05,
param_max_rms=2.0,
lr_mat_min=0.01,
lr_mat_max=4.0,
lr_mat_max=10.0,
lr_est_period=2,
diagonalize_period=4,
):
@ -474,7 +474,8 @@ class LearnedGradient(Optimizer):
# are the final changes, the only 2 we make in this loop that have
# side effects.
# delta_scale < 1 will make it update the learning rates faster than it otherwise would.
# delta_scale < 1 will make it update the learning rates faster than it otherwise would,
# as we'll reach equilbrium with M less rapidly.
delta_scale=1.0
delta.add_(this_delta, alpha=-delta_scale*meta_lr*(1-beta1))
# there is no momentum on Q.