NVIDIA Deep Learning Examples
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Model
NVIDIA Deep Learning Examples
nnUNet PyTorch checkpoint 2DnnUNet2d PyTorch checkpoint trained on fold 2
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2 Versions
22.11.0_ampSelected12/05/2022 4:36 PM UTC236.01 MBAccuracy: 0271 EpochsBatch Size: 64GPU: A100Copied!
22.11.0_ampSelected
12/05/2022 4:36 PM UTC236.01 MBAccuracy: 0271 EpochsBatch Size: 64GPU: A100
Copied!
architecture
| Key | Value |
|---|---|
| task | Task01_BrainTumour |
| type | 2D |
performance
| Key | Value |
|---|---|
| dice | 0.7454 |
| training_loss | 0.3421 |
training
| Key | Value |
|---|---|
| batch_size | 64 |
| training_precision | AMP |
| dataset | MSD Task01_BrainTumour |
| epochs | 271 |
09/22/2022 5:58 PM UTC236.02 MBAccuracy: 0333 EpochsBatch Size: 64GPU: A100Copied!
09/22/2022 5:58 PM UTC236.02 MBAccuracy: 0333 EpochsBatch Size: 64GPU: A100
Copied!
architecture
| Key | Value |
|---|---|
| task | Task01_BrainTumour |
| type | 2D |
performance
| Key | Value |
|---|---|
| dice | 0.7416 |
| training_loss | 0.3554 |
training
| Key | Value |
|---|---|
| batch_size | 64 |
| training_precision | AMP |
| dataset | MSD Task01_BrainTumour |
| epochs | 333 |