Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech
BSD 3-Clause "New" or "Revised" License
333
stars
92
forks
source link
This loss of value is correct it? #11
Closed
huihui1114 closed 3 years ago
I run the file of rnn_train.py,get the loss value of the model。 This loss of value is correct it? [1, 1] loss: 111971.305 [2, 1] loss: 95036.414 [3, 1] loss: 83421.258 [4, 1] loss: 75540.383 [5, 1] loss: 69769.328 [6, 1] loss: 65297.250 [7, 1] loss: 61768.656 [8, 1] loss: 59000.102 [9, 1] loss: 56840.609 [10, 1] loss: 55172.516 [11, 1] loss: 53897.754 [12, 1] loss: 52909.832 [13, 1] loss: 52113.910 [14, 1] loss: 51442.695 [15, 1] loss: 50844.719 ... [86, 1] loss: 33483.242 [87, 1] loss: 33400.211 [88, 1] loss: 33319.367 [89, 1] loss: 33241.418 [90, 1] loss: 33166.523 [91, 1] loss: 33093.812 [92, 1] loss: 33022.258 [93, 1] loss: 32951.094 [94, 1] loss: 32880.258 [95, 1] loss: 32810.066 [96, 1] loss: 32740.826 [97, 1] loss: 32672.703 [98, 1] loss: 32605.770 [99, 1] loss: 32539.883 [100, 1] loss: 32475.033 Finished Training save model If it is not correct, please give a reference value! Thank you !