Kvdmitrieva's workspace
Runs
18
Name
3 visualized
State
Notes
User
Tags
Created
Runtime
Sweep
augmentations.spectrogram
augmentations.wave
data.train.batch_size
data.train.datasets
data.train.num_workers
data.val.batch_size
data.val.datasets
data.val.num_workers
dis_loss.type
dis_lr_scheduler.args.gamma
dis_lr_scheduler.args.step_size
dis_lr_scheduler.type
dis_optimizer.args.betas
dis_optimizer.args.lr
dis_optimizer.type
discriminator.args.pd_params.epilog_params.in_channels
discriminator.args.pd_params.epilog_params.kernel_size
discriminator.args.pd_params.epilog_params.out_channels
discriminator.args.pd_params.epilog_params.padding
discriminator.args.pd_params.poststem_params.in_channels
discriminator.args.pd_params.poststem_params.kernel_size
discriminator.args.pd_params.poststem_params.out_channels
discriminator.args.pd_params.poststem_params.padding
discriminator.args.pd_params.stem_params
discriminator.args.periods
discriminator.args.pooling_params
discriminator.args.sd_params.downsampler_params
discriminator.args.sd_params.epilog_params.in_channels
discriminator.args.sd_params.epilog_params.kernel_size
discriminator.args.sd_params.epilog_params.out_channels
discriminator.args.sd_params.epilog_params.padding
discriminator.args.sd_params.epilog_params.stride
discriminator.args.sd_params.post_downsampler_params.in_channels
discriminator.args.sd_params.post_downsampler_params.kernel_size
discriminator.args.sd_params.post_downsampler_params.out_channels
discriminator.args.sd_params.post_downsampler_params.padding
discriminator.args.sd_params.post_downsampler_params.stride
discriminator.args.sd_params.prolog_params.in_channels
discriminator.args.sd_params.prolog_params.kernel_size
discriminator.args.sd_params.prolog_params.out_channels
discriminator.args.sd_params.prolog_params.padding
discriminator.args.sd_params.prolog_params.stride
discriminator.type
gen_loss.args.fm_lambda
Finished
-
kvdmitrieva
8h 3m 35s
-
[]
[]
26
[{"args":{"part":"train"},"type":"LJspeechDataset"}]
0
26
[{"args":{"part":"test"},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
-
ExponentialLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"padding":[2,0],"in_channels":1,"kernel_size":[5,1],"out_channels":64,"stride":[3,1]},{"stride":[3,1],"padding":[2,0],"in_channels":64,"kernel_size":[5,1],"out_channels":128},{"stride":[3,1],"padding":[2,0],"in_channels":128,"kernel_size":[5,1],"out_channels":256},{"kernel_size":[5,1],"out_channels":512,"stride":[3,1],"padding":[2,0],"in_channels":256}]
[2,3,5,7,11]
[1,2,4]
[{"stride":4,"padding":20,"in_channels":16,"kernel_size":41,"out_channels":64,"groups":4},{"in_channels":64,"kernel_size":41,"out_channels":256,"groups":16,"stride":4,"padding":20},{"padding":20,"in_channels":256,"kernel_size":41,"out_channels":1024,"groups":64,"stride":4},{"kernel_size":41,"out_channels":1024,"groups":256,"stride":4,"padding":20,"in_channels":1024}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Finished
-
kvdmitrieva
5h 53m
-
[]
[]
26
[{"type":"LJspeechDataset","args":{"part":"train"}}]
0
26
[{"args":{"part":"test"},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
-
ExponentialLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"out_channels":64,"stride":[3,1],"padding":[2,0],"in_channels":1,"kernel_size":[5,1]},{"kernel_size":[5,1],"out_channels":128,"stride":[3,1],"padding":[2,0],"in_channels":64},{"stride":[3,1],"padding":[2,0],"in_channels":128,"kernel_size":[5,1],"out_channels":256},{"in_channels":256,"kernel_size":[5,1],"out_channels":512,"stride":[3,1],"padding":[2,0]}]
[2,3,5,7,11]
[1,2,4]
[{"groups":4,"stride":4,"padding":20,"in_channels":16,"kernel_size":41,"out_channels":64},{"kernel_size":41,"out_channels":256,"groups":16,"stride":4,"padding":20,"in_channels":64},{"groups":64,"stride":4,"padding":20,"in_channels":256,"kernel_size":41,"out_channels":1024},{"groups":256,"stride":4,"padding":20,"in_channels":1024,"kernel_size":41,"out_channels":1024}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Finished
-
kvdmitrieva
4h 29m 43s
-
[]
[]
26
[{"args":{"part":"train"},"type":"LJspeechDataset"}]
0
26
[{"type":"LJspeechDataset","args":{"part":"test"}}]
0
DiscriminatorLoss
0.999
-
ExponentialLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"in_channels":1,"kernel_size":[5,1],"out_channels":64,"stride":[3,1],"padding":[2,0]},{"out_channels":128,"stride":[3,1],"padding":[2,0],"in_channels":64,"kernel_size":[5,1]},{"stride":[3,1],"padding":[2,0],"in_channels":128,"kernel_size":[5,1],"out_channels":256},{"out_channels":512,"stride":[3,1],"padding":[2,0],"in_channels":256,"kernel_size":[5,1]}]
[2,3,5,7,11]
[1,2,4]
[{"groups":4,"stride":4,"padding":20,"in_channels":16,"kernel_size":41,"out_channels":64},{"kernel_size":41,"out_channels":256,"groups":16,"stride":4,"padding":20,"in_channels":64},{"groups":64,"stride":4,"padding":20,"in_channels":256,"kernel_size":41,"out_channels":1024},{"kernel_size":41,"out_channels":1024,"groups":256,"stride":4,"padding":20,"in_channels":1024}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Finished
-
kvdmitrieva
debug
4h 30m 32s
-
[]
[]
26
[{"args":{"part":"train"},"type":"LJspeechDataset"}]
0
26
[{"args":{"part":"test"},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
-
ExponentialLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"stride":[3,1],"padding":[2,0],"in_channels":1,"kernel_size":[5,1],"out_channels":64},{"out_channels":128,"stride":[3,1],"padding":[2,0],"in_channels":64,"kernel_size":[5,1]},{"kernel_size":[5,1],"out_channels":256,"stride":[3,1],"padding":[2,0],"in_channels":128},{"in_channels":256,"kernel_size":[5,1],"out_channels":512,"stride":[3,1],"padding":[2,0]}]
[2,3,5,7,11]
[1,2,4]
[{"padding":20,"in_channels":16,"kernel_size":41,"out_channels":64,"groups":4,"stride":4},{"padding":20,"in_channels":64,"kernel_size":41,"out_channels":256,"groups":16,"stride":4},{"groups":64,"stride":4,"padding":20,"in_channels":256,"kernel_size":41,"out_channels":1024},{"out_channels":1024,"groups":256,"stride":4,"padding":20,"in_channels":1024,"kernel_size":41}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Crashed
-
kvdmitrieva
debug
35m 31s
-
[]
[]
26
[{"args":{"part":"train"},"type":"LJspeechDataset"}]
0
26
[{"args":{"part":"test"},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
-
ExponentialLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"stride":[3,1],"padding":[2,0],"in_channels":1,"kernel_size":[5,1],"out_channels":64},{"stride":[3,1],"padding":[2,0],"in_channels":64,"kernel_size":[5,1],"out_channels":128},{"stride":[3,1],"padding":[2,0],"in_channels":128,"kernel_size":[5,1],"out_channels":256},{"padding":[2,0],"in_channels":256,"kernel_size":[5,1],"out_channels":512,"stride":[3,1]}]
[2,3,5,7,11]
[1,2,4]
[{"groups":4,"stride":4,"padding":20,"in_channels":16,"kernel_size":41,"out_channels":64},{"stride":4,"padding":20,"in_channels":64,"kernel_size":41,"out_channels":256,"groups":16},{"out_channels":1024,"groups":64,"stride":4,"padding":20,"in_channels":256,"kernel_size":41},{"padding":20,"in_channels":1024,"kernel_size":41,"out_channels":1024,"groups":256,"stride":4}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Crashed
-
kvdmitrieva
debug
56m 1s
-
[]
[]
26
[{"type":"LJspeechDataset","args":{"part":"train"}}]
0
26
[{"args":{"part":"test"},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
-
ExponentialLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"stride":[3,1],"padding":[2,0],"in_channels":1,"kernel_size":[5,1],"out_channels":64},{"stride":[3,1],"padding":[2,0],"in_channels":64,"kernel_size":[5,1],"out_channels":128},{"stride":[3,1],"padding":[2,0],"in_channels":128,"kernel_size":[5,1],"out_channels":256},{"in_channels":256,"kernel_size":[5,1],"out_channels":512,"stride":[3,1],"padding":[2,0]}]
[2,3,5,7,11]
[1,2,4]
[{"padding":20,"in_channels":16,"kernel_size":41,"out_channels":64,"groups":4,"stride":4},{"groups":16,"stride":4,"padding":20,"in_channels":64,"kernel_size":41,"out_channels":256},{"out_channels":1024,"groups":64,"stride":4,"padding":20,"in_channels":256,"kernel_size":41},{"stride":4,"padding":20,"in_channels":1024,"kernel_size":41,"out_channels":1024,"groups":256}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Crashed
-
kvdmitrieva
14m 56s
-
[]
[]
26
[{"type":"LJspeechDataset","args":{"part":"train"}}]
0
26
[{"args":{"part":"test"},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
-
ExponentialLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"stride":[3,1],"padding":[2,0],"in_channels":1,"kernel_size":[5,1],"out_channels":64},{"stride":[3,1],"padding":[2,0],"in_channels":64,"kernel_size":[5,1],"out_channels":128},{"stride":[3,1],"padding":[2,0],"in_channels":128,"kernel_size":[5,1],"out_channels":256},{"stride":[3,1],"padding":[2,0],"in_channels":256,"kernel_size":[5,1],"out_channels":512}]
[2,3,5,7,11]
[1,2,4]
[{"padding":20,"in_channels":16,"kernel_size":41,"out_channels":64,"groups":4,"stride":4},{"stride":4,"padding":20,"in_channels":64,"kernel_size":41,"out_channels":256,"groups":16},{"groups":64,"stride":4,"padding":20,"in_channels":256,"kernel_size":41,"out_channels":1024},{"groups":256,"stride":4,"padding":20,"in_channels":1024,"kernel_size":41,"out_channels":1024}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Crashed
-
kvdmitrieva
debug
24m 33s
-
[]
[]
26
[{"args":{"part":"train"},"type":"LJspeechDataset"}]
0
26
[{"args":{"part":"test"},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
-
ExponentialLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"padding":[2,0],"in_channels":1,"kernel_size":[5,1],"out_channels":64,"stride":[3,1]},{"stride":[3,1],"padding":[2,0],"in_channels":64,"kernel_size":[5,1],"out_channels":128},{"padding":[2,0],"in_channels":128,"kernel_size":[5,1],"out_channels":256,"stride":[3,1]},{"stride":[3,1],"padding":[2,0],"in_channels":256,"kernel_size":[5,1],"out_channels":512}]
[2,3,5,7,11]
[1,2,4]
[{"groups":4,"stride":4,"padding":20,"in_channels":16,"kernel_size":41,"out_channels":64},{"out_channels":256,"groups":16,"stride":4,"padding":20,"in_channels":64,"kernel_size":41},{"stride":4,"padding":20,"in_channels":256,"kernel_size":41,"out_channels":1024,"groups":64},{"out_channels":1024,"groups":256,"stride":4,"padding":20,"in_channels":1024,"kernel_size":41}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Crashed
-
kvdmitrieva
debug
1h 9m 32s
-
[]
[]
26
[{"args":{"part":"train"},"type":"LJspeechDataset"}]
0
26
[{"args":{"part":"test"},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
-
ExponentialLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"padding":[2,0],"in_channels":1,"kernel_size":[5,1],"out_channels":64,"stride":[3,1]},{"padding":[2,0],"in_channels":64,"kernel_size":[5,1],"out_channels":128,"stride":[3,1]},{"stride":[3,1],"padding":[2,0],"in_channels":128,"kernel_size":[5,1],"out_channels":256},{"stride":[3,1],"padding":[2,0],"in_channels":256,"kernel_size":[5,1],"out_channels":512}]
[2,3,5,7,11]
[1,2,4]
[{"groups":4,"stride":4,"padding":20,"in_channels":16,"kernel_size":41,"out_channels":64},{"groups":16,"stride":4,"padding":20,"in_channels":64,"kernel_size":41,"out_channels":256},{"out_channels":1024,"groups":64,"stride":4,"padding":20,"in_channels":256,"kernel_size":41},{"padding":20,"in_channels":1024,"kernel_size":41,"out_channels":1024,"groups":256,"stride":4}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Crashed
-
kvdmitrieva
debug
2h 59m 30s
-
[]
[]
26
[{"args":{"part":"train"},"type":"LJspeechDataset"}]
0
26
[{"args":{"part":"test"},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
-
ExponentialLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"kernel_size":[5,1],"out_channels":64,"stride":[3,1],"padding":[2,0],"in_channels":1},{"stride":[3,1],"padding":[2,0],"in_channels":64,"kernel_size":[5,1],"out_channels":128},{"padding":[2,0],"in_channels":128,"kernel_size":[5,1],"out_channels":256,"stride":[3,1]},{"stride":[3,1],"padding":[2,0],"in_channels":256,"kernel_size":[5,1],"out_channels":512}]
[2,3,5,7,11]
[1,2,4]
[{"groups":4,"stride":4,"padding":20,"in_channels":16,"kernel_size":41,"out_channels":64},{"groups":16,"stride":4,"padding":20,"in_channels":64,"kernel_size":41,"out_channels":256},{"out_channels":1024,"groups":64,"stride":4,"padding":20,"in_channels":256,"kernel_size":41},{"groups":256,"stride":4,"padding":20,"in_channels":1024,"kernel_size":41,"out_channels":1024}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Crashed
-
kvdmitrieva
debug
4h 30s
-
[]
[]
26
[{"type":"LJspeechDataset","args":{"part":"train"}}]
0
26
[{"args":{"part":"test"},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
-
ExponentialLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"kernel_size":[5,1],"out_channels":64,"stride":[3,1],"padding":[2,0],"in_channels":1},{"stride":[3,1],"padding":[2,0],"in_channels":64,"kernel_size":[5,1],"out_channels":128},{"padding":[2,0],"in_channels":128,"kernel_size":[5,1],"out_channels":256,"stride":[3,1]},{"stride":[3,1],"padding":[2,0],"in_channels":256,"kernel_size":[5,1],"out_channels":512}]
[2,3,5,7,11]
[1,2,4]
[{"groups":4,"stride":4,"padding":20,"in_channels":16,"kernel_size":41,"out_channels":64},{"stride":4,"padding":20,"in_channels":64,"kernel_size":41,"out_channels":256,"groups":16},{"groups":64,"stride":4,"padding":20,"in_channels":256,"kernel_size":41,"out_channels":1024},{"groups":256,"stride":4,"padding":20,"in_channels":1024,"kernel_size":41,"out_channels":1024}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Crashed
-
kvdmitrieva
debug
1h 29m 2s
-
[]
[]
26
[{"type":"LJspeechDataset","args":{"part":"train"}}]
0
26
[{"args":{"part":"test"},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
-
ExponentialLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"in_channels":1,"kernel_size":[5,1],"out_channels":64,"stride":[3,1],"padding":[2,0]},{"out_channels":128,"stride":[3,1],"padding":[2,0],"in_channels":64,"kernel_size":[5,1]},{"stride":[3,1],"padding":[2,0],"in_channels":128,"kernel_size":[5,1],"out_channels":256},{"padding":[2,0],"in_channels":256,"kernel_size":[5,1],"out_channels":512,"stride":[3,1]}]
[2,3,5,7,11]
[1,2,4]
[{"in_channels":16,"kernel_size":41,"out_channels":64,"groups":4,"stride":4,"padding":20},{"groups":16,"stride":4,"padding":20,"in_channels":64,"kernel_size":41,"out_channels":256},{"padding":20,"in_channels":256,"kernel_size":41,"out_channels":1024,"groups":64,"stride":4},{"groups":256,"stride":4,"padding":20,"in_channels":1024,"kernel_size":41,"out_channels":1024}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Crashed
-
kvdmitrieva
debug
1h 16m 57s
-
[]
[]
26
[{"args":{"part":"train"},"type":"LJspeechDataset"}]
0
26
[{"args":{"part":"test"},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
-
ExponentialLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"stride":[3,1],"padding":[2,0],"in_channels":1,"kernel_size":[5,1],"out_channels":64},{"stride":[3,1],"padding":[2,0],"in_channels":64,"kernel_size":[5,1],"out_channels":128},{"stride":[3,1],"padding":[2,0],"in_channels":128,"kernel_size":[5,1],"out_channels":256},{"in_channels":256,"kernel_size":[5,1],"out_channels":512,"stride":[3,1],"padding":[2,0]}]
[2,3,5,7,11]
[1,2,4]
[{"padding":20,"in_channels":16,"kernel_size":41,"out_channels":64,"groups":4,"stride":4},{"groups":16,"stride":4,"padding":20,"in_channels":64,"kernel_size":41,"out_channels":256},{"kernel_size":41,"out_channels":1024,"groups":64,"stride":4,"padding":20,"in_channels":256},{"groups":256,"stride":4,"padding":20,"in_channels":1024,"kernel_size":41,"out_channels":1024}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Crashed
-
kvdmitrieva
debug
4h 23m 51s
-
[]
[]
26
[{"args":{"part":"train"},"type":"LJspeechDataset"}]
0
26
[{"args":{"part":"test"},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
-
ExponentialLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"stride":[3,1],"padding":[2,0],"in_channels":1,"kernel_size":[5,1],"out_channels":64},{"padding":[2,0],"in_channels":64,"kernel_size":[5,1],"out_channels":128,"stride":[3,1]},{"stride":[3,1],"padding":[2,0],"in_channels":128,"kernel_size":[5,1],"out_channels":256},{"stride":[3,1],"padding":[2,0],"in_channels":256,"kernel_size":[5,1],"out_channels":512}]
[2,3,5,7,11]
[1,2,4]
[{"groups":4,"stride":4,"padding":20,"in_channels":16,"kernel_size":41,"out_channels":64},{"groups":16,"stride":4,"padding":20,"in_channels":64,"kernel_size":41,"out_channels":256},{"out_channels":1024,"groups":64,"stride":4,"padding":20,"in_channels":256,"kernel_size":41},{"groups":256,"stride":4,"padding":20,"in_channels":1024,"kernel_size":41,"out_channels":1024}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Crashed
-
kvdmitrieva
8h 2m 31s
-
[]
[]
16
[{"type":"LJspeechDataset","args":{"part":"train"}}]
0
16
[{"args":{"part":"test"},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
300
StepLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"stride":[3,1],"padding":[2,0],"in_channels":1,"kernel_size":[5,1],"out_channels":64},{"stride":[3,1],"padding":[2,0],"in_channels":64,"kernel_size":[5,1],"out_channels":128},{"padding":[2,0],"in_channels":128,"kernel_size":[5,1],"out_channels":256,"stride":[3,1]},{"padding":[2,0],"in_channels":256,"kernel_size":[5,1],"out_channels":512,"stride":[3,1]}]
[2,3,5,7,11]
[1,2,4]
[{"in_channels":16,"kernel_size":41,"out_channels":64,"groups":4,"stride":4,"padding":20},{"out_channels":256,"groups":16,"stride":4,"padding":20,"in_channels":64,"kernel_size":41},{"padding":20,"in_channels":256,"kernel_size":41,"out_channels":1024,"groups":64,"stride":4},{"out_channels":1024,"groups":256,"stride":4,"padding":20,"in_channels":1024,"kernel_size":41}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Crashed
-
kvdmitrieva
34m 18s
-
[]
[]
1
[{"type":"LJspeechDataset","args":{"part":"train","limit":1}}]
0
1
[{"args":{"part":"train","limit":1},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
100
StepLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"padding":[2,0],"in_channels":1,"kernel_size":[5,1],"out_channels":64,"stride":[3,1]},{"in_channels":64,"kernel_size":[5,1],"out_channels":128,"stride":[3,1],"padding":[2,0]},{"out_channels":256,"stride":[3,1],"padding":[2,0],"in_channels":128,"kernel_size":[5,1]},{"out_channels":512,"stride":[3,1],"padding":[2,0],"in_channels":256,"kernel_size":[5,1]}]
[2,3,5,7,11]
[1,2,4]
[{"groups":4,"stride":4,"padding":20,"in_channels":16,"kernel_size":41,"out_channels":64},{"groups":16,"stride":4,"padding":20,"in_channels":64,"kernel_size":41,"out_channels":256},{"kernel_size":41,"out_channels":1024,"groups":64,"stride":4,"padding":20,"in_channels":256},{"stride":4,"padding":20,"in_channels":1024,"kernel_size":41,"out_channels":1024,"groups":256}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Crashed
-
kvdmitrieva
42m 39s
-
[]
[]
1
[{"type":"LJspeechDataset","args":{"part":"train","limit":1}}]
0
1
[{"args":{"part":"train","limit":1},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
100
StepLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"stride":[3,1],"padding":[2,0],"in_channels":1,"kernel_size":[5,1],"out_channels":64},{"stride":[3,1],"padding":[2,0],"in_channels":64,"kernel_size":[5,1],"out_channels":128},{"out_channels":256,"stride":[3,1],"padding":[2,0],"in_channels":128,"kernel_size":[5,1]},{"kernel_size":[5,1],"out_channels":512,"stride":[3,1],"padding":[2,0],"in_channels":256}]
[2,3,5,7,11]
[1,2,4]
[{"kernel_size":41,"out_channels":64,"groups":4,"stride":4,"padding":20,"in_channels":16},{"stride":4,"padding":20,"in_channels":64,"kernel_size":41,"out_channels":256,"groups":16},{"out_channels":1024,"groups":64,"stride":4,"padding":20,"in_channels":256,"kernel_size":41},{"groups":256,"stride":4,"padding":20,"in_channels":1024,"kernel_size":41,"out_channels":1024}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
Crashed
-
kvdmitrieva
1h 10m 2s
-
[]
[]
10
[{"args":{"part":"train","limit":10},"type":"LJspeechDataset"}]
0
10
[{"args":{"part":"train","limit":10},"type":"LJspeechDataset"}]
0
DiscriminatorLoss
0.999
100
StepLR
[0.8,0.99]
0.0002
AdamW
1024
[3,1]
1
same
512
[5,1]
1024
same
[{"stride":[3,1],"padding":[2,0],"in_channels":1,"kernel_size":[5,1],"out_channels":64},{"padding":[2,0],"in_channels":64,"kernel_size":[5,1],"out_channels":128,"stride":[3,1]},{"kernel_size":[5,1],"out_channels":256,"stride":[3,1],"padding":[2,0],"in_channels":128},{"stride":[3,1],"padding":[2,0],"in_channels":256,"kernel_size":[5,1],"out_channels":512}]
[2,3,5,7,11]
[1,2,4]
[{"padding":20,"in_channels":16,"kernel_size":41,"out_channels":64,"groups":4,"stride":4},{"groups":16,"stride":4,"padding":20,"in_channels":64,"kernel_size":41,"out_channels":256},{"groups":64,"stride":4,"padding":20,"in_channels":256,"kernel_size":41,"out_channels":1024},{"in_channels":1024,"kernel_size":41,"out_channels":1024,"groups":256,"stride":4,"padding":20}]
1024
3
1
same
1
1024
5
1024
same
1
1
15
16
same
1
Discriminator
2
1-18
of 18