Skip to main content
ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator
NVIDIA Deep Learning Examples
nnUNet PyTorch checkpoint 2D AMP
Model
NVIDIA Deep Learning Examples
nnUNet PyTorch checkpoint 2D AMP

nnUNet2d PyTorch checkpoint trained with AMP on fold 2

2 Versions
21.02.1Selected
11/18/2021 10:10 PM UTC235.98 MBAccuracy: 0438 EpochsBatch Size: 64GPU: V100
architecture
KeyValue
taskTask01_BrainTumour
type2D
performance
KeyValue
dice0.7402
training_loss0.3571
training
KeyValue
batch_size64
datasetMSD Task01_BrainTumour
epochs438
training_precisionAMP
21.02.0
03/10/2021 5:44 AM UTC236.01 MBAccuracy: 0171 EpochsBatch Size: 64GPU: V100
architecture
KeyValue
taskTask01_BrainTumour
type2D
performance
KeyValue
dice0.7343
training_loss0.3695
training
KeyValue
batch_size64
datasetMSD Task01_BrainTumour
epochs171
training_precisionAMP
1-2 of 2 items

Modal Content

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.

Manage Settings