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
    wav2vec 2.0 Base fine-tuned
    Model
    NVIDIA Deep Learning Examples
    NVIDIA Deep Learning Examples
    wav2vec 2.0 Base fine-tuned

    wav2vec 2.0 base PyTorch checkpoint pre-trained on LibriSpeech 960 h, fine-tuned on LibriSpeech 960 h

  • 1 Version
    22.09.0_amp-bf16Selected
    01/16/2023 11:45 AM UTC915.49 MBAccuracy: 00 EpochsBatch Size: 0GPU: A100
  • architecture
    KeyValue
    tasksupervised fine-tuning
    hourglass_transformer_shortening_rate4
    typebase
    performance
    KeyValue
    test_other_wer8.44
    training
    KeyValue
    max_update320000
    max_tokens3200000
    lr0.0001
    gpus8
    training_precisionAMP-BF16
    datasetLibriSpeech 960 h

    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.