{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Classification" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " | Size (MB) | \n", "Quantized Size (MB) | \n", "macro precision | \n", "macro recall | \n", "macro f1-score | \n", "
---|---|---|---|---|---|
bert | \n", "423.4 | \n", "111.0 | \n", "0.88315 | \n", "0.88656 | \n", "0.88405 | \n", "
tiny-bert | \n", "56.6 | \n", "15.0 | \n", "0.87210 | \n", "0.87546 | \n", "0.87292 | \n", "
albert | \n", "48.3 | \n", "12.8 | \n", "0.87164 | \n", "0.87146 | \n", "0.87155 | \n", "
tiny-albert | \n", "21.9 | \n", "6.0 | \n", "0.82234 | \n", "0.82383 | \n", "0.82295 | \n", "
xlnet | \n", "448.7 | \n", "119.0 | \n", "0.80866 | \n", "0.76775 | \n", "0.77112 | \n", "
alxlnet | \n", "49.0 | \n", "13.9 | \n", "0.88756 | \n", "0.88700 | \n", "0.88727 | \n", "