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QuartzNet checkpoint (PyTorch, AMP, LibriSpeech)
Model
NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
QuartzNet checkpoint (PyTorch, AMP, LibriSpeech)

QuartzNet PyTorch checkpoint trained on LibriSpeech (test-other 10.41% WER)

1 Version
21.03.0_ampSelected
09/22/2022 5:24 PM UTC72.72 MBAccuracy: 0260 EpochsBatch Size: 1152GPU: A100
architecture
KeyValue
typequartznet10x5_speedp-online-1.15_speca: SpecAugment (2x15, 2x55); Speed perturbation U(0.85, 1.15)
performance
KeyValue
test_other_wer10.41
dev_other_wer10.67
dev_clean_wer3.51
test_clean_wer3.82
training
KeyValue
batch_size1152
training_precisionAMP
datasetLibriSpeech
epochs260