Numerically Augmented QA Net

Last updated on Mar 15, 2021

Numerically Augmented QA Net

Parameters 14 Million
File Size 49.02 MB
Training Data DROP

Training Techniques Adam
Architecture Convolution, Dropout, Feedforward Network, Highway Layer, Layer Normalization, Linear Layer, Multi-Head Attention, ReLU
LR 0.0005
Epochs 50
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README.md

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