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
NVIDIA Deep Learning Examples
TFT PyT checkpoint (Base, AMP, Traffic)
Model
NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
TFT PyT checkpoint (Base, AMP, Traffic)

TFT Base PyTorch checkpoint trained with AMP on Traffic dataset

1 Version
21.06.0Selected
11/18/2021 10:11 PM UTC6.73 MBAccuracy: 030 EpochsBatch Size: 8192GPU: V100
architecture
KeyValue
typebase
performance
KeyValue
P100.04
P500.099
P900.072
training
KeyValue
batch_size8192
bs_per_gpu1024
clip_grad0.0
datasetElectricity
dropout0.3
epochs30
lr0.002
training_precisionAMP

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.