NVIDIA Deep Learning Examples
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Model
NVIDIA Deep Learning Examples
nnUNet PyTorch checkpoint 3DnnUNet3d PyTorch checkpoint trained on fold 2
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2 Versions
22.11.0_ampSelected12/05/2022 4:37 PM UTC357.09 MBAccuracy: 0395 EpochsBatch Size: 2GPU: A100Copied!
22.11.0_ampSelected
12/05/2022 4:37 PM UTC357.09 MBAccuracy: 0395 EpochsBatch Size: 2GPU: A100
Copied!
architecture
| Key | Value |
|---|---|
| task | Task01_BrainTumour |
| type | 3D |
performance
| Key | Value |
|---|---|
| dice | 0.7537 |
| training_loss | 0.3377 |
training
| Key | Value |
|---|---|
| batch_size | 2 |
| training_precision | AMP |
| dataset | MSD Task01_BrainTumour |
| epochs | 395 |
09/22/2022 5:25 PM UTC357.1 MBAccuracy: 0481 EpochsBatch Size: 2GPU: A100Copied!
09/22/2022 5:25 PM UTC357.1 MBAccuracy: 0481 EpochsBatch Size: 2GPU: A100
Copied!
architecture
| Key | Value |
|---|---|
| task | Task01_BrainTumour |
| type | 3D |
performance
| Key | Value |
|---|---|
| dice | 0.7535 |
| training_loss | 0.3386 |
training
| Key | Value |
|---|---|
| batch_size | 2 |
| training_precision | AMP |
| dataset | MSD Task01_BrainTumour |
| epochs | 481 |