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Take into account various outcomes from parameter tuning

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Daniel Povey 2022-07-28 09:06:59 +08:00
parent daa55d5a3c
commit dc565f729b
1 changed files with 2 additions and 2 deletions
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egs/librispeech/ASR/pruned_transducer_stateless7/optim.py
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@ -159,8 +159,8 @@ param_rms_smooth1: Smoothing proportion for parameter matrix, if assumed rank of
lr=3e-02,
betas=(0.9, 0.98),
size_lr_scale=0.1,
cov_min=(0.05, 0.01, 0.04, 0.0001),
cov_max=(10.0, 40.0, 5.0, 400.0),
cov_min=(0.025, 0.0025, 0.02, 0.0001),
cov_max=(10.0, 80.0, 5.0, 400.0),
cov_pow=(1.0, 1.0, 1.0, 1.0),
param_rms_smooth0=0.4,
param_rms_smooth1=0.2,