Skip to main content
NVIDIA
Multidataset-QuartzNet15x5
Model
NVIDIA
Multidataset-QuartzNet15x5

This is a checkpoint for the QuartzNet 15x5 model trained on multiple datasets in NeMo.

2 Versions
2Selected
07/09/2020 9:44 PM UTC67.79 MBAccuracy: 3.79600 EpochsBatch Size: 32GPU: V100
Word Error Rates (%)
KeyValue
LibriSpeech dev-clean3.79
LibriSpeech dev-other10.05
LibriSpeech test-clean3.85
LibriSpeech test-other10.04
01/08/2020 5:55 PM UTC72.62 MBAccuracy: 3.91100 EpochsBatch Size: 64GPU: 16x V100

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.