Model
NVIDIA Deep Learning Examples
Waveglow PyTorch checkpoint (AMP, 256ch)Waveglow PyTorch checkpoint with 256-channel WN base trained with AMP
20.01.0
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2 Versions
08/21/2020 2:23 AM UTC335.41 MBAccuracy: 01950 EpochsBatch Size: 0GPU: V100 Copied!
08/21/2020 2:23 AM UTC335.41 MBAccuracy: 01950 EpochsBatch Size: 0GPU: V100
Copied!
architecture
| Key | Value |
|---|---|
| config | default |
performance
| Key | Value |
|---|---|
| quality | subjective |
training
| Key | Value |
|---|---|
| bs | 12 |
| dataset | LJSpeech-1.1 |
| epochs | 1950 |
| gpu | 8xV100 |
| training_precision | AMP |
| wn-channels | 256 |
20.01.0Selected08/21/2020 2:20 AM UTC1006.18 MBAccuracy: 014000 EpochsBatch Size: 0GPU: V100 Copied!
20.01.0Selected
08/21/2020 2:20 AM UTC1006.18 MBAccuracy: 014000 EpochsBatch Size: 0GPU: V100
Copied!
architecture
| Key | Value |
|---|---|
| config | default |
performance
| Key | Value |
|---|---|
| quality | subjective |
training
| Key | Value |
|---|---|
| bs | 14 |
| dataset | LJSpeech-1.1 |
| epochs | 14000 |
| gpu | 8xV100 |
| training_precision | AMP |
| wn-channels | 256 |