DIGITS-CNN/cars/epochs.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "3c568ab9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib as mpl\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "fig_dpi = 200\n",
    "lw = 3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ecc547f",
   "metadata": {},
   "source": [
    "# Epochs\n",
    "80/10/10 Split, Sigmoid, 0.01, G: 0.1\n",
    "\n",
    "## Index\n",
    "0. Epochs\n",
    "1. top-1 accuracy\n",
    "2. top-5 accuracy\n",
    "3. last val loss\n",
    "4. last val accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1b2471d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "epoch_results = np.array([\n",
    "    [10, 3.46, 11.74, 4.85, 5.51],\n",
    "    [20, 11.98, 31.32, 3.87, 15.50],\n",
    "    [30, 31.5, 59.17, 2.86, 31.92],\n",
    "    [40, 39.22, 68.13, 2.68, 43.63],\n",
    "    [60, 43.85, 70.11, 2.72, 47.79],\n",
    "    [70, 47.62, 72.88, 2.57, 52.08],\n",
    "    [80, 45.21, 73.38, 2.68, 50.43],\n",
    "    [100, 45.89, 74.06, 2.74, 50.18],\n",
    "    [200, 42.74, 69.24, 2.98, 47.86],\n",
    "    [300, 38.91, 64.18, 3.24, 44.67],\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "9b32b8fe",
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 1000x600 with 1 Axes>",
      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"207.754375pt\" version=\"1.1\" viewBox=\"0 0 352.343125 207.754375\" width=\"352.343125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-04-30T10:34:25.460327</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.1, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 207.754375 \nL 352.343125 207.754375 \nL 352.343125 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 40.603125 170.198125 \nL 345.143125 170.198125 \nL 345.143125 22.318125 \nL 40.603125 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path clip-path=\"url(#p142b6550cd)\" d=\"M 44.899144 170.198125 \nL 44.899144 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m5a073d68e0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.899144\" xlink:href=\"#m5a073d68e0\" y=\"170.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(41.717894 184.796562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path clip-path=\"url(#p142b6550cd)\" d=\"M 92.632686 170.198125 \nL 92.632686 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"92.632686\" xlink:href=\"#m5a073d68e0\" y=\"170.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 50 -->\n      <g transform=\"translate(86.270186 184.796562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <path clip-path=\"url(#p142b6550cd)\" d=\"M 140.366228 170.198125 \nL 140.366228 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"140.366228\" xlink:href=\"#m5a073d68e0\" y=\"170.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 100 -->\n      <g transform=\"translate(130.822478 184.796562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_7\">\n      <path clip-path=\"url(#p142b6550cd)\" d=\"M 188.099771 170.198125 \nL 188.099771 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"188.099771\" xlink:href=\"#m5a073d68e0\" y=\"170.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 150 -->\n      <g transform=\"translate(178.556021 184.796562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_9\">\n      <path clip-path=\"url(#p142b6550cd)\" d=\"M 235.833313 170.198125 \nL 235.833313 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"235.833313\" xlink:href=\"#m5a073d68e0\" y=\"170.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 200 -->\n      <g transform=\"translate(226.289563 184.796562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_11\">\n      <path clip-path=\"url(#p142b6550cd)\" d=\"M 283.566855 170.198125 \nL 283.566855 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"283.566855\" xlink:href=\"#m5a073d68e0\" y=\"170.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 250 -->\n      <g transform=\"translate(274.023105 184.796562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_13\">\n      <path clip-path=\"url(#p142b6550cd)\" d=\"M 331.300398 170.198125 \nL 331.300398 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"331.300398\" xlink:href=\"#m5a073d68e0\" y=\"170.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 300 -->\n      <g transform=\"translate(321.756648 184.796562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_8\">\n     <!-- Epochs -->\n     <g transform=\"translate(174.9575 198.474687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1159 525 \nL 1159 -1331 \nL 581 -1331 \nL 581 3500 \nL 1159 3500 \nL 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nz\nM 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\n\" id=\"DejaVuSans-70\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1959 3097 \nQ 1497 3097 1228 2736 \nQ 959 2375 959 1747 \nQ 959 1119 1226 758 \nQ 1494 397 1959 397 \nQ 2419 397 2687 759 \nQ 2956 1122 2956 1747 \nQ 2956 2369 2687 2733 \nQ 2419 3097 1959 3097 \nz\nM 1959 3584 \nQ 2709 3584 3137 3096 \nQ 3566 2609 3566 1747 \nQ 3566 888 3137 398 \nQ 2709 -91 1959 -91 \nQ 1206 -91 779 398 \nQ 353 888 353 1747 \nQ 353 2609 779 3096 \nQ 1206 3584 1959 3584 \nz\n\" id=\"DejaVuSans-6f\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 3122 3366 \nL 3122 2828 \nQ 2878 2963 2633 3030 \nQ 2388 3097 2138 3097 \nQ 1578 3097 1268 2742 \nQ 959 2388 959 1747 \nQ 959 1106 1268 751 \nQ 1578 397 2138 397 \nQ 2388 397 2633 464 \nQ 2878 531 3122 666 \nL 3122 134 \nQ 2881 22 2623 -34 \nQ 2366 -91 2075 -91 \nQ 1284 -91 818 406 \nQ 353 903 353 1747 \nQ 353 2603 823 3093 \nQ 1294 3584 2113 3584 \nQ 2378 3584 2631 3529 \nQ 2884 3475 3122 3366 \nz\n\" id=\"DejaVuSans-63\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 4863 \nL 1159 4863 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" id=\"DejaVuSans-68\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2834 3397 \nL 2834 2853 \nQ 2591 2978 2328 3040 \nQ 2066 3103 1784 3103 \nQ 1356 3103 1142 2972 \nQ 928 2841 928 2578 \nQ 928 2378 1081 2264 \nQ 1234 2150 1697 2047 \nL 1894 2003 \nQ 2506 1872 2764 1633 \nQ 3022 1394 3022 966 \nQ 3022 478 2636 193 \nQ 2250 -91 1575 -91 \nQ 1294 -91 989 -36 \nQ 684 19 347 128 \nL 347 722 \nQ 666 556 975 473 \nQ 1284 391 1588 391 \nQ 1994 391 2212 530 \nQ 2431 669 2431 922 \nQ 2431 1156 2273 1281 \nQ 2116 1406 1581 1522 \nL 1381 1569 \nQ 847 1681 609 1914 \nQ 372 2147 372 2553 \nQ 372 3047 722 3315 \nQ 1072 3584 1716 3584 \nQ 2034 3584 2315 3537 \nQ 2597 3491 2834 3397 \nz\n\" id=\"DejaVuSans-73\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n      <use x=\"63.183594\" xlink:href=\"#DejaVuSans-70\"/>\n      <use x=\"126.660156\" xlink:href=\"#DejaVuSans-6f\"/>\n      <use x=\"187.841797\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"242.822266\" xlink:href=\"#DejaVuSans-68\"/>\n      <use x=\"306.201172\" xlink:href=\"#DejaVuSans-73\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_15\">\n      <path clip-path=\"url(#p142b6550cd)\" d=\"M 40.603125 170.198125 \nL 345.143125 170.198125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_16\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m7d2c842cde\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m7d2c842cde\" y=\"170.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0 -->\n      <g transform=\"translate(27.240625 173.997344)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_17\">\n      <path clip-path=\"url(#p142b6550cd)\" d=\"M 40.603125 133.228125 \nL 345.143125 133.228125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_18\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m7d2c842cde\" y=\"133.228125\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(20.878125 137.027344)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_19\">\n      <path clip-path=\"url(#p142b6550cd)\" d=\"M 40.603125 96.258125 \nL 345.143125 96.258125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_20\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m7d2c842cde\" y=\"96.258125\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 40 -->\n      <g transform=\"translate(20.878125 100.057344)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_21\">\n      <path clip-path=\"url(#p142b6550cd)\" d=\"M 40.603125 59.288125 \nL 345.143125 59.288125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_22\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m7d2c842cde\" y=\"59.288125\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 60 -->\n      <g transform=\"translate(20.878125 63.087344)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_23\">\n      <path clip-path=\"url(#p142b6550cd)\" d=\"M 40.603125 22.318125 \nL 345.143125 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_24\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m7d2c842cde\" y=\"22.318125\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 80 -->\n      <g transform=\"translate(20.878125 26.117344)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_14\">\n     <!-- % Accuracy -->\n     <g transform=\"translate(14.798438 125.426094)rotate(-90)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 4653 2053 \nQ 4381 2053 4226 1822 \nQ 4072 1591 4072 1178 \nQ 4072 772 4226 539 \nQ 4381 306 4653 306 \nQ 4919 306 5073 539 \nQ 5228 772 5228 1178 \nQ 5228 1588 5073 1820 \nQ 4919 2053 4653 2053 \nz\nM 4653 2450 \nQ 5147 2450 5437 2106 \nQ 5728 1763 5728 1178 \nQ 5728 594 5436 251 \nQ 5144 -91 4653 -91 \nQ 4153 -91 3862 251 \nQ 3572 594 3572 1178 \nQ 3572 1766 3864 2108 \nQ 4156 2450 4653 2450 \nz\nM 1428 4353 \nQ 1159 4353 1004 4120 \nQ 850 3888 850 3481 \nQ 850 3069 1003 2837 \nQ 1156 2606 1428 2606 \nQ 1700 2606 1854 2837 \nQ 2009 3069 2009 3481 \nQ 2009 3884 1853 4118 \nQ 1697 4353 1428 4353 \nz\nM 4250 4750 \nL 4750 4750 \nL 1831 -91 \nL 1331 -91 \nL 4250 4750 \nz\nM 1428 4750 \nQ 1922 4750 2215 4408 \nQ 2509 4066 2509 3481 \nQ 2509 2891 2217 2550 \nQ 1925 2209 1428 2209 \nQ 931 2209 642 2551 \nQ 353 2894 353 3481 \nQ 353 4063 643 4406 \nQ 934 4750 1428 4750 \nz\n\" id=\"DejaVuSans-25\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2188 4044 \nL 1331 1722 \nL 3047 1722 \nL 2188 4044 \nz\nM 1831 4666 \nL 2547 4666 \nL 4325 0 \nL 3669 0 \nL 3244 1197 \nL 1141 1197 \nL 716 0 \nL 50 0 \nL 1831 4666 \nz\n\" id=\"DejaVuSans-41\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 544 1381 \nL 544 3500 \nL 1119 3500 \nL 1119 1403 \nQ 1119 906 1312 657 \nQ 1506 409 1894 409 \nQ 2359 409 2629 706 \nQ 2900 1003 2900 1516 \nL 2900 3500 \nL 3475 3500 \nL 3475 0 \nL 2900 0 \nL 2900 538 \nQ 2691 219 2414 64 \nQ 2138 -91 1772 -91 \nQ 1169 -91 856 284 \nQ 544 659 544 1381 \nz\nM 1991 3584 \nL 1991 3584 \nz\n\" id=\"DejaVuSans-75\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2631 2963 \nQ 2534 3019 2420 3045 \nQ 2306 3072 2169 3072 \nQ 1681 3072 1420 2755 \nQ 1159 2438 1159 1844 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1341 3275 1631 3429 \nQ 1922 3584 2338 3584 \nQ 2397 3584 2469 3576 \nQ 2541 3569 2628 3553 \nL 2631 2963 \nz\n\" id=\"DejaVuSans-72\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2194 1759 \nQ 1497 1759 1228 1600 \nQ 959 1441 959 1056 \nQ 959 750 1161 570 \nQ 1363 391 1709 391 \nQ 2188 391 2477 730 \nQ 2766 1069 2766 1631 \nL 2766 1759 \nL 2194 1759 \nz\nM 3341 1997 \nL 3341 0 \nL 2766 0 \nL 2766 531 \nQ 2569 213 2275 61 \nQ 1981 -91 1556 -91 \nQ 1019 -91 701 211 \nQ 384 513 384 1019 \nQ 384 1609 779 1909 \nQ 1175 2209 1959 2209 \nL 2766 2209 \nL 2766 2266 \nQ 2766 2663 2505 2880 \nQ 2244 3097 1772 3097 \nQ 1472 3097 1187 3025 \nQ 903 2953 641 2809 \nL 641 3341 \nQ 956 3463 1253 3523 \nQ 1550 3584 1831 3584 \nQ 2591 3584 2966 3190 \nQ 3341 2797 3341 1997 \nz\n\" id=\"DejaVuSans-61\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2059 -325 \nQ 1816 -950 1584 -1140 \nQ 1353 -1331 966 -1331 \nL 506 -1331 \nL 506 -850 \nL 844 -850 \nQ 1081 -850 1212 -737 \nQ 1344 -625 1503 -206 \nL 1606 56 \nL 191 3500 \nL 800 3500 \nL 1894 763 \nL 2988 3500 \nL 3597 3500 \nL 2059 -325 \nz\n\" id=\"DejaVuSans-79\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-25\"/>\n      <use x=\"95.019531\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"126.806641\" xlink:href=\"#DejaVuSans-41\"/>\n      <use x=\"193.464844\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"248.445312\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"303.425781\" xlink:href=\"#DejaVuSans-75\"/>\n      <use x=\"366.804688\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"407.917969\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"469.197266\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"524.177734\" xlink:href=\"#DejaVuSans-79\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_25\">\n    <path clip-path=\"url(#p142b6550cd)\" d=\"M 54.445852 163.802315 \nL 63.992561 148.053095 \nL 73.539269 111.970375 \nL 83.085978 97.699955 \nL 102.179395 89.1414 \nL 111.726103 82.172555 \nL 121.272812 86.62744 \nL 140.366228 85.37046 \nL 235.833313 91.193235 \nL 331.300398 98.27299 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:3;\"/>\n    <defs>\n     <path d=\"M -3 3 \nL 3 -3 \nM -3 -3 \nL 3 3 \n\" id=\"m6985749f79\" style=\"stroke:#1f77b4;\"/>\n    </defs>\n    <g clip-path=\"url(#p142b6550cd)\">\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"54.445852\" xlink:href=\"#m6985749f79\" y=\"163.802315\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"63.992561\" xlink:href=\"#m6985749f79\" y=\"148.053095\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"73.539269\" xlink:href=\"#m6985749f79\" y=\"111.970375\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"83.085978\" xlink:href=\"#m6985749f79\" y=\"97.699955\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"102.179395\" xlink:href=\"#m6985749f79\" y=\"89.1414\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"111.726103\" xlink:href=\"#m6985749f79\" y=\"82.172555\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"121.272812\" xlink:href=\"#m6985749f79\" y=\"86.62744\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"140.366228\" xlink:href=\"#m6985749f79\" y=\"85.37046\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"235.833313\" xlink:href=\"#m6985749f79\" y=\"91.193235\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"331.300398\" xlink:href=\"#m6985749f79\" y=\"98.27299\"/>\n    </g>\n   </g>\n   <g id=\"line2d_26\">\n    <path clip-path=\"url(#p142b6550cd)\" d=\"M 54.445852 148.496735 \nL 63.992561 112.303105 \nL 73.539269 60.82238 \nL 83.085978 44.25982 \nL 102.179395 40.59979 \nL 111.726103 35.479445 \nL 121.272812 34.555195 \nL 140.366228 33.298215 \nL 235.833313 42.207985 \nL 331.300398 51.561395 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:3;\"/>\n    <defs>\n     <path d=\"M -3 3 \nL 3 -3 \nM -3 -3 \nL 3 3 \n\" id=\"m640838add9\" style=\"stroke:#ff7f0e;\"/>\n    </defs>\n    <g clip-path=\"url(#p142b6550cd)\">\n     <use style=\"fill:#ff7f0e;stroke:#ff7f0e;\" x=\"54.445852\" xlink:href=\"#m640838add9\" y=\"148.496735\"/>\n     <use style=\"fill:#ff7f0e;stroke:#ff7f0e;\" x=\"63.992561\" xlink:href=\"#m640838add9\" y=\"112.303105\"/>\n     <use style=\"fill:#ff7f0e;stroke:#ff7f0e;\" x=\"73.539269\" xlink:href=\"#m640838add9\" y=\"60.82238\"/>\n     <use style=\"fill:#ff7f0e;stroke:#ff7f0e;\" x=\"83.085978\" xlink:href=\"#m640838add9\" y=\"44.25982\"/>\n     <use style=\"fill:#ff7f0e;stroke:#ff7f0e;\" x=\"102.179395\" xlink:href=\"#m640838add9\" y=\"40.59979\"/>\n     <use style=\"fill:#ff7f0e;stroke:#ff7f0e;\" x=\"111.726103\" xlink:href=\"#m640838add9\" y=\"35.479445\"/>\n     <use style=\"fill:#ff7f0e;stroke:#ff7f0e;\" x=\"121.272812\" xlink:href=\"#m640838add9\" y=\"34.555195\"/>\n     <use style=\"fill:#ff7f0e;stroke:#ff7f0e;\" x=\"140.366228\" xlink:href=\"#m640838add9\" y=\"33.298215\"/>\n     <use style=\"fill:#ff7f0e;stroke:#ff7f0e;\" x=\"235.833313\" xlink:href=\"#m640838add9\" y=\"42.207985\"/>\n     <use style=\"fill:#ff7f0e;stroke:#ff7f0e;\" x=\"331.300398\" xlink:href=\"#m640838add9\" y=\"51.561395\"/>\n    </g>\n   </g>\n   <g id=\"line2d_27\">\n    <path clip-path=\"url(#p142b6550cd)\" d=\"M 54.445852 160.01289 \nL 63.992561 141.546375 \nL 73.539269 111.194005 \nL 83.085978 89.54807 \nL 102.179395 81.85831 \nL 111.726103 73.928245 \nL 121.272812 76.97827 \nL 140.366228 77.440395 \nL 235.833313 81.728915 \nL 331.300398 87.62563 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:3;\"/>\n    <defs>\n     <path d=\"M -3 3 \nL 3 -3 \nM -3 -3 \nL 3 3 \n\" id=\"m00c0c41fe2\" style=\"stroke:#2ca02c;\"/>\n    </defs>\n    <g clip-path=\"url(#p142b6550cd)\">\n     <use style=\"fill:#2ca02c;stroke:#2ca02c;\" x=\"54.445852\" xlink:href=\"#m00c0c41fe2\" y=\"160.01289\"/>\n     <use style=\"fill:#2ca02c;stroke:#2ca02c;\" x=\"63.992561\" xlink:href=\"#m00c0c41fe2\" y=\"141.546375\"/>\n     <use style=\"fill:#2ca02c;stroke:#2ca02c;\" x=\"73.539269\" xlink:href=\"#m00c0c41fe2\" y=\"111.194005\"/>\n     <use style=\"fill:#2ca02c;stroke:#2ca02c;\" x=\"83.085978\" xlink:href=\"#m00c0c41fe2\" y=\"89.54807\"/>\n     <use style=\"fill:#2ca02c;stroke:#2ca02c;\" x=\"102.179395\" xlink:href=\"#m00c0c41fe2\" y=\"81.85831\"/>\n     <use style=\"fill:#2ca02c;stroke:#2ca02c;\" x=\"111.726103\" xlink:href=\"#m00c0c41fe2\" y=\"73.928245\"/>\n     <use style=\"fill:#2ca02c;stroke:#2ca02c;\" x=\"121.272812\" xlink:href=\"#m00c0c41fe2\" y=\"76.97827\"/>\n     <use style=\"fill:#2ca02c;stroke:#2ca02c;\" x=\"140.366228\" xlink:href=\"#m00c0c41fe2\" y=\"77.440395\"/>\n     <use style=\"fill:#2ca02c;stroke:#2ca02c;\" x=\"235.833313\" xlink:href=\"#m00c0c41fe2\" y=\"81.728915\"/>\n     <use style=\"fill:#2ca02c;stroke:#2ca02c;\" x=\"331.300398\" xlink:href=\"#m00c0c41fe2\" y=\"87.62563\"/>\n    </g>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 40.603125 170.198125 \nL 40.603125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 345.143125 170.198125 \nL 345.143125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 40.603125 170.198125 \nL 345.143125 170.198125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 40.603125 22.318125 \nL 345.143125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"text_15\">\n    <!-- Accuracy for Varied Training Epochs -->\n    <g transform=\"translate(85.481562 16.318125)scale(0.12 -0.12)\">\n     <defs>\n      <path d=\"M 2375 4863 \nL 2375 4384 \nL 1825 4384 \nQ 1516 4384 1395 4259 \nQ 1275 4134 1275 3809 \nL 1275 3500 \nL 2222 3500 \nL 2222 3053 \nL 1275 3053 \nL 1275 0 \nL 697 0 \nL 697 3053 \nL 147 3053 \nL 147 3500 \nL 697 3500 \nL 697 3744 \nQ 697 4328 969 4595 \nQ 1241 4863 1831 4863 \nL 2375 4863 \nz\n\" id=\"DejaVuSans-66\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 1831 0 \nL 50 4666 \nL 709 4666 \nL 2188 738 \nL 3669 4666 \nL 4325 4666 \nL 2547 0 \nL 1831 0 \nz\n\" id=\"DejaVuSans-56\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 603 3500 \nL 1178 3500 \nL 1178 0 \nL 603 0 \nL 603 3500 \nz\nM 603 4863 \nL 1178 4863 \nL 1178 4134 \nL 603 4134 \nL 603 4863 \nz\n\" id=\"DejaVuSans-69\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" id=\"DejaVuSans-65\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2906 2969 \nL 2906 4863 \nL 3481 4863 \nL 3481 0 \nL 2906 0 \nL 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nz\nM 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\n\" id=\"DejaVuSans-64\" transform=\"scale(0.015625)\"/>\n      <path d=\"M -19 4666 \nL 3928 4666 \nL 3928 4134 \nL 2272 4134 \nL 2272 0 \nL 1638 0 \nL 1638 4134 \nL -19 4134 \nL -19 4666 \nz\n\" id=\"DejaVuSans-54\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" id=\"DejaVuSans-6e\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2906 1791 \nQ 2906 2416 2648 2759 \nQ 2391 3103 1925 3103 \nQ 1463 3103 1205 2759 \nQ 947 2416 947 1791 \nQ 947 1169 1205 825 \nQ 1463 481 1925 481 \nQ 2391 481 2648 825 \nQ 2906 1169 2906 1791 \nz\nM 3481 434 \nQ 3481 -459 3084 -895 \nQ 2688 -1331 1869 -1331 \nQ 1566 -1331 1297 -1286 \nQ 1028 -1241 775 -1147 \nL 775 -588 \nQ 1028 -725 1275 -790 \nQ 1522 -856 1778 -856 \nQ 2344 -856 2625 -561 \nQ 2906 -266 2906 331 \nL 2906 616 \nQ 2728 306 2450 153 \nQ 2172 0 1784 0 \nQ 1141 0 747 490 \nQ 353 981 353 1791 \nQ 353 2603 747 3093 \nQ 1141 3584 1784 3584 \nQ 2172 3584 2450 3431 \nQ 2728 3278 2906 2969 \nL 2906 3500 \nL 3481 3500 \nL 3481 434 \nz\n\" id=\"DejaVuSans-67\" transform=\"scale(0.015625)\"/>\n     </defs>\n     <use xlink:href=\"#DejaVuSans-41\"/>\n     <use x=\"66.658203\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"121.638672\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"176.619141\" xlink:href=\"#DejaVuSans-75\"/>\n     <use x=\"239.998047\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"281.111328\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"342.390625\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"397.371094\" xlink:href=\"#DejaVuSans-79\"/>\n     <use x=\"456.550781\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"488.337891\" xlink:href=\"#DejaVuSans-66\"/>\n     <use x=\"523.542969\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"584.724609\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"625.837891\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"657.625\" xlink:href=\"#DejaVuSans-56\"/>\n     <use x=\"718.283203\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"779.5625\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"820.675781\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"848.458984\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"909.982422\" xlink:href=\"#DejaVuSans-64\"/>\n     <use x=\"973.458984\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1005.246094\" xlink:href=\"#DejaVuSans-54\"/>\n     <use x=\"1051.580078\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"1092.693359\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"1153.972656\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"1181.755859\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"1245.134766\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"1272.917969\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"1336.296875\" xlink:href=\"#DejaVuSans-67\"/>\n     <use x=\"1399.773438\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1431.560547\" xlink:href=\"#DejaVuSans-45\"/>\n     <use x=\"1494.744141\" xlink:href=\"#DejaVuSans-70\"/>\n     <use x=\"1558.220703\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"1619.402344\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"1674.382812\" xlink:href=\"#DejaVuSans-68\"/>\n     <use x=\"1737.761719\" xlink:href=\"#DejaVuSans-73\"/>\n    </g>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 212.932187 165.198125 \nL 338.143125 165.198125 \nQ 340.143125 165.198125 340.143125 163.198125 \nL 340.143125 120.16375 \nQ 340.143125 118.16375 338.143125 118.16375 \nL 212.932187 118.16375 \nQ 210.932187 118.16375 210.932187 120.16375 \nL 210.932187 163.198125 \nQ 210.932187 165.198125 212.932187 165.198125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_28\">\n     <path d=\"M 214.932187 126.262187 \nL 234.932187 126.262187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_29\">\n     <g>\n      <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"224.932187\" xlink:href=\"#m6985749f79\" y=\"126.262187\"/>\n     </g>\n    </g>\n    <g id=\"text_16\">\n     <!-- Top-1 Accuracy -->\n     <g transform=\"translate(242.932187 129.762187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 313 2009 \nL 1997 2009 \nL 1997 1497 \nL 313 1497 \nL 313 2009 \nz\n\" id=\"DejaVuSans-2d\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-54\"/>\n      <use x=\"44.083984\" xlink:href=\"#DejaVuSans-6f\"/>\n      <use x=\"105.265625\" xlink:href=\"#DejaVuSans-70\"/>\n      <use x=\"168.742188\" xlink:href=\"#DejaVuSans-2d\"/>\n      <use x=\"204.826172\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"268.449219\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"300.236328\" xlink:href=\"#DejaVuSans-41\"/>\n      <use x=\"366.894531\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"421.875\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"476.855469\" xlink:href=\"#DejaVuSans-75\"/>\n      <use x=\"540.234375\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"581.347656\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"642.626953\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"697.607422\" xlink:href=\"#DejaVuSans-79\"/>\n     </g>\n    </g>\n    <g id=\"line2d_30\">\n     <path d=\"M 214.932187 140.940312 \nL 234.932187 140.940312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_31\">\n     <g>\n      <use style=\"fill:#ff7f0e;stroke:#ff7f0e;\" x=\"224.932187\" xlink:href=\"#m640838add9\" y=\"140.940312\"/>\n     </g>\n    </g>\n    <g id=\"text_17\">\n     <!-- Top-5 Accuracy -->\n     <g transform=\"translate(242.932187 144.440312)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-54\"/>\n      <use x=\"44.083984\" xlink:href=\"#DejaVuSans-6f\"/>\n      <use x=\"105.265625\" xlink:href=\"#DejaVuSans-70\"/>\n      <use x=\"168.742188\" xlink:href=\"#DejaVuSans-2d\"/>\n      <use x=\"204.826172\" xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"268.449219\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"300.236328\" xlink:href=\"#DejaVuSans-41\"/>\n      <use x=\"366.894531\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"421.875\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"476.855469\" xlink:href=\"#DejaVuSans-75\"/>\n      <use x=\"540.234375\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"581.347656\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"642.626953\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"697.607422\" xlink:href=\"#DejaVuSans-79\"/>\n     </g>\n    </g>\n    <g id=\"line2d_32\">\n     <path d=\"M 214.932187 155.618437 \nL 234.932187 155.618437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_33\">\n     <g>\n      <use style=\"fill:#2ca02c;stroke:#2ca02c;\" x=\"224.932187\" xlink:href=\"#m00c0c41fe2\" y=\"155.618437\"/>\n     </g>\n    </g>\n    <g id=\"text_18\">\n     <!-- Final Val. Accuracy -->\n     <g transform=\"translate(242.932187 159.118437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3309 4666 \nL 3309 4134 \nL 1259 4134 \nL 1259 2759 \nL 3109 2759 \nL 3109 2228 \nL 1259 2228 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-46\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 603 4863 \nL 1178 4863 \nL 1178 0 \nL 603 0 \nL 603 4863 \nz\n\" id=\"DejaVuSans-6c\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-46\"/>\n      <use x=\"50.269531\" xlink:href=\"#DejaVuSans-69\"/>\n      <use x=\"78.052734\" xlink:href=\"#DejaVuSans-6e\"/>\n      <use x=\"141.431641\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"202.710938\" xlink:href=\"#DejaVuSans-6c\"/>\n      <use x=\"230.494141\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"262.28125\" xlink:href=\"#DejaVuSans-56\"/>\n      <use x=\"322.939453\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"384.21875\" xlink:href=\"#DejaVuSans-6c\"/>\n      <use x=\"412.001953\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"443.789062\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"475.576172\" xlink:href=\"#DejaVuSans-41\"/>\n      <use x=\"542.234375\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"597.214844\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"652.195312\" xlink:href=\"#DejaVuSans-75\"/>\n      <use x=\"715.574219\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"756.6875\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"817.966797\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"872.947266\" xlink:href=\"#DejaVuSans-79\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p142b6550cd\">\n   <rect height=\"147.88\" width=\"304.54\" x=\"40.603125\" y=\"22.318125\"/>\n  </clipPath>\n </defs>\n</svg>\n",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(5, 3))\n",
    "fig.set_dpi(fig_dpi)\n",
    "\n",
    "plt.plot(epoch_results[:, 0], epoch_results[:, 1], 'x-', label=\"Top-1 Accuracy\", lw=lw)\n",
    "plt.plot(epoch_results[:, 0], epoch_results[:, 2], 'x-', label=\"Top-5 Accuracy\", lw=lw)\n",
    "plt.plot(epoch_results[:, 0], epoch_results[:, 4], 'x-', label=\"Final Val. Accuracy\", lw=lw)\n",
    "\n",
    "plt.ylim(0, 80)\n",
    "# plt.xlim(0, 1)\n",
    "\n",
    "plt.title('Accuracy for Varied Training Epochs')\n",
    "plt.ylabel('% Accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('epochs-accuracy.png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 1000x600 with 1 Axes>",
      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"207.754375pt\" version=\"1.1\" viewBox=\"0 0 352.32625 207.754375\" width=\"352.32625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-04-30T10:34:25.805594</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.1, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 207.754375 \nL 352.32625 207.754375 \nL 352.32625 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 43.78125 170.198125 \nL 345.12625 170.198125 \nL 345.12625 22.318125 \nL 43.78125 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path clip-path=\"url(#pb62e034be6)\" d=\"M 48.032198 170.198125 \nL 48.032198 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m1e4f6e5943\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"48.032198\" xlink:href=\"#m1e4f6e5943\" y=\"170.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(44.850948 184.796562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path clip-path=\"url(#pb62e034be6)\" d=\"M 95.264957 170.198125 \nL 95.264957 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"95.264957\" xlink:href=\"#m1e4f6e5943\" y=\"170.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 50 -->\n      <g transform=\"translate(88.902457 184.796562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <path clip-path=\"url(#pb62e034be6)\" d=\"M 142.497716 170.198125 \nL 142.497716 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"142.497716\" xlink:href=\"#m1e4f6e5943\" y=\"170.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 100 -->\n      <g transform=\"translate(132.953966 184.796562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_7\">\n      <path clip-path=\"url(#pb62e034be6)\" d=\"M 189.730474 170.198125 \nL 189.730474 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"189.730474\" xlink:href=\"#m1e4f6e5943\" y=\"170.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 150 -->\n      <g transform=\"translate(180.186724 184.796562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_9\">\n      <path clip-path=\"url(#pb62e034be6)\" d=\"M 236.963233 170.198125 \nL 236.963233 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"236.963233\" xlink:href=\"#m1e4f6e5943\" y=\"170.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 200 -->\n      <g transform=\"translate(227.419483 184.796562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_11\">\n      <path clip-path=\"url(#pb62e034be6)\" d=\"M 284.195991 170.198125 \nL 284.195991 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"284.195991\" xlink:href=\"#m1e4f6e5943\" y=\"170.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 250 -->\n      <g transform=\"translate(274.652241 184.796562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_13\">\n      <path clip-path=\"url(#pb62e034be6)\" d=\"M 331.42875 170.198125 \nL 331.42875 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"331.42875\" xlink:href=\"#m1e4f6e5943\" y=\"170.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 300 -->\n      <g transform=\"translate(321.885 184.796562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_8\">\n     <!-- Epochs -->\n     <g transform=\"translate(176.538125 198.474687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1159 525 \nL 1159 -1331 \nL 581 -1331 \nL 581 3500 \nL 1159 3500 \nL 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nz\nM 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\n\" id=\"DejaVuSans-70\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1959 3097 \nQ 1497 3097 1228 2736 \nQ 959 2375 959 1747 \nQ 959 1119 1226 758 \nQ 1494 397 1959 397 \nQ 2419 397 2687 759 \nQ 2956 1122 2956 1747 \nQ 2956 2369 2687 2733 \nQ 2419 3097 1959 3097 \nz\nM 1959 3584 \nQ 2709 3584 3137 3096 \nQ 3566 2609 3566 1747 \nQ 3566 888 3137 398 \nQ 2709 -91 1959 -91 \nQ 1206 -91 779 398 \nQ 353 888 353 1747 \nQ 353 2609 779 3096 \nQ 1206 3584 1959 3584 \nz\n\" id=\"DejaVuSans-6f\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 3122 3366 \nL 3122 2828 \nQ 2878 2963 2633 3030 \nQ 2388 3097 2138 3097 \nQ 1578 3097 1268 2742 \nQ 959 2388 959 1747 \nQ 959 1106 1268 751 \nQ 1578 397 2138 397 \nQ 2388 397 2633 464 \nQ 2878 531 3122 666 \nL 3122 134 \nQ 2881 22 2623 -34 \nQ 2366 -91 2075 -91 \nQ 1284 -91 818 406 \nQ 353 903 353 1747 \nQ 353 2603 823 3093 \nQ 1294 3584 2113 3584 \nQ 2378 3584 2631 3529 \nQ 2884 3475 3122 3366 \nz\n\" id=\"DejaVuSans-63\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 4863 \nL 1159 4863 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" id=\"DejaVuSans-68\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2834 3397 \nL 2834 2853 \nQ 2591 2978 2328 3040 \nQ 2066 3103 1784 3103 \nQ 1356 3103 1142 2972 \nQ 928 2841 928 2578 \nQ 928 2378 1081 2264 \nQ 1234 2150 1697 2047 \nL 1894 2003 \nQ 2506 1872 2764 1633 \nQ 3022 1394 3022 966 \nQ 3022 478 2636 193 \nQ 2250 -91 1575 -91 \nQ 1294 -91 989 -36 \nQ 684 19 347 128 \nL 347 722 \nQ 666 556 975 473 \nQ 1284 391 1588 391 \nQ 1994 391 2212 530 \nQ 2431 669 2431 922 \nQ 2431 1156 2273 1281 \nQ 2116 1406 1581 1522 \nL 1381 1569 \nQ 847 1681 609 1914 \nQ 372 2147 372 2553 \nQ 372 3047 722 3315 \nQ 1072 3584 1716 3584 \nQ 2034 3584 2315 3537 \nQ 2597 3491 2834 3397 \nz\n\" id=\"DejaVuSans-73\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n      <use x=\"63.183594\" xlink:href=\"#DejaVuSans-70\"/>\n      <use x=\"126.660156\" xlink:href=\"#DejaVuSans-6f\"/>\n      <use x=\"187.841797\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"242.822266\" xlink:href=\"#DejaVuSans-68\"/>\n      <use x=\"306.201172\" xlink:href=\"#DejaVuSans-73\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_15\">\n      <path clip-path=\"url(#pb62e034be6)\" d=\"M 43.78125 167.640452 \nL 345.12625 167.640452 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_16\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m4c9adfcf74\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m4c9adfcf74\" y=\"167.640452\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 2.5 -->\n      <g transform=\"translate(20.878125 171.439671)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_17\">\n      <path clip-path=\"url(#pb62e034be6)\" d=\"M 43.78125 138.575987 \nL 345.12625 138.575987 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_18\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m4c9adfcf74\" y=\"138.575987\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 3.0 -->\n      <g transform=\"translate(20.878125 142.375205)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_19\">\n      <path clip-path=\"url(#pb62e034be6)\" d=\"M 43.78125 109.511521 \nL 345.12625 109.511521 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_20\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m4c9adfcf74\" y=\"109.511521\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 3.5 -->\n      <g transform=\"translate(20.878125 113.31074)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_21\">\n      <path clip-path=\"url(#pb62e034be6)\" d=\"M 43.78125 80.447056 \nL 345.12625 80.447056 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_22\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m4c9adfcf74\" y=\"80.447056\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 4.0 -->\n      <g transform=\"translate(20.878125 84.246275)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_23\">\n      <path clip-path=\"url(#pb62e034be6)\" d=\"M 43.78125 51.38259 \nL 345.12625 51.38259 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_24\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m4c9adfcf74\" y=\"51.38259\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 4.5 -->\n      <g transform=\"translate(20.878125 55.181809)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_25\">\n      <path clip-path=\"url(#pb62e034be6)\" d=\"M 43.78125 22.318125 \nL 345.12625 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_26\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"43.78125\" xlink:href=\"#m4c9adfcf74\" y=\"22.318125\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 5.0 -->\n      <g transform=\"translate(20.878125 26.117344)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_15\">\n     <!-- Loss -->\n     <g transform=\"translate(14.798438 107.225313)rotate(-90)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 531 \nL 3531 531 \nL 3531 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-4c\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4c\"/>\n      <use x=\"53.962891\" xlink:href=\"#DejaVuSans-6f\"/>\n      <use x=\"115.144531\" xlink:href=\"#DejaVuSans-73\"/>\n      <use x=\"167.244141\" xlink:href=\"#DejaVuSans-73\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_27\">\n    <path clip-path=\"url(#pb62e034be6)\" d=\"M 57.47875 31.037465 \nL 66.925302 88.003817 \nL 76.371853 146.714037 \nL 85.818405 157.177244 \nL 104.711509 154.852087 \nL 114.15806 163.571427 \nL 123.604612 157.177244 \nL 142.497716 153.689509 \nL 236.963233 139.738565 \nL 331.42875 124.625043 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:3;\"/>\n    <defs>\n     <path d=\"M -3 3 \nL 3 -3 \nM -3 -3 \nL 3 3 \n\" id=\"m4cd48e06fe\" style=\"stroke:#1f77b4;\"/>\n    </defs>\n    <g clip-path=\"url(#pb62e034be6)\">\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"57.47875\" xlink:href=\"#m4cd48e06fe\" y=\"31.037465\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"66.925302\" xlink:href=\"#m4cd48e06fe\" y=\"88.003817\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"76.371853\" xlink:href=\"#m4cd48e06fe\" y=\"146.714037\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"85.818405\" xlink:href=\"#m4cd48e06fe\" y=\"157.177244\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"104.711509\" xlink:href=\"#m4cd48e06fe\" y=\"154.852087\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"114.15806\" xlink:href=\"#m4cd48e06fe\" y=\"163.571427\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"123.604612\" xlink:href=\"#m4cd48e06fe\" y=\"157.177244\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"142.497716\" xlink:href=\"#m4cd48e06fe\" y=\"153.689509\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"236.963233\" xlink:href=\"#m4cd48e06fe\" y=\"139.738565\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"331.42875\" xlink:href=\"#m4cd48e06fe\" y=\"124.625043\"/>\n    </g>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 43.78125 170.198125 \nL 43.78125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 345.12625 170.198125 \nL 345.12625 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 43.78125 170.198125 \nL 345.12625 170.198125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 43.78125 22.318125 \nL 345.12625 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"text_16\">\n    <!-- Final Validation Loss for Varied Training Epochs -->\n    <g transform=\"translate(54.02375 16.318125)scale(0.12 -0.12)\">\n     <defs>\n      <path d=\"M 628 4666 \nL 3309 4666 \nL 3309 4134 \nL 1259 4134 \nL 1259 2759 \nL 3109 2759 \nL 3109 2228 \nL 1259 2228 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-46\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 603 3500 \nL 1178 3500 \nL 1178 0 \nL 603 0 \nL 603 3500 \nz\nM 603 4863 \nL 1178 4863 \nL 1178 4134 \nL 603 4134 \nL 603 4863 \nz\n\" id=\"DejaVuSans-69\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" id=\"DejaVuSans-6e\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2194 1759 \nQ 1497 1759 1228 1600 \nQ 959 1441 959 1056 \nQ 959 750 1161 570 \nQ 1363 391 1709 391 \nQ 2188 391 2477 730 \nQ 2766 1069 2766 1631 \nL 2766 1759 \nL 2194 1759 \nz\nM 3341 1997 \nL 3341 0 \nL 2766 0 \nL 2766 531 \nQ 2569 213 2275 61 \nQ 1981 -91 1556 -91 \nQ 1019 -91 701 211 \nQ 384 513 384 1019 \nQ 384 1609 779 1909 \nQ 1175 2209 1959 2209 \nL 2766 2209 \nL 2766 2266 \nQ 2766 2663 2505 2880 \nQ 2244 3097 1772 3097 \nQ 1472 3097 1187 3025 \nQ 903 2953 641 2809 \nL 641 3341 \nQ 956 3463 1253 3523 \nQ 1550 3584 1831 3584 \nQ 2591 3584 2966 3190 \nQ 3341 2797 3341 1997 \nz\n\" id=\"DejaVuSans-61\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 603 4863 \nL 1178 4863 \nL 1178 0 \nL 603 0 \nL 603 4863 \nz\n\" id=\"DejaVuSans-6c\" transform=\"scale(0.015625)\"/>\n      <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 1831 0 \nL 50 4666 \nL 709 4666 \nL 2188 738 \nL 3669 4666 \nL 4325 4666 \nL 2547 0 \nL 1831 0 \nz\n\" id=\"DejaVuSans-56\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2906 2969 \nL 2906 4863 \nL 3481 4863 \nL 3481 0 \nL 2906 0 \nL 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nz\nM 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\n\" id=\"DejaVuSans-64\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 1172 4494 \nL 1172 3500 \nL 2356 3500 \nL 2356 3053 \nL 1172 3053 \nL 1172 1153 \nQ 1172 725 1289 603 \nQ 1406 481 1766 481 \nL 2356 481 \nL 2356 0 \nL 1766 0 \nQ 1100 0 847 248 \nQ 594 497 594 1153 \nL 594 3053 \nL 172 3053 \nL 172 3500 \nL 594 3500 \nL 594 4494 \nL 1172 4494 \nz\n\" id=\"DejaVuSans-74\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2375 4863 \nL 2375 4384 \nL 1825 4384 \nQ 1516 4384 1395 4259 \nQ 1275 4134 1275 3809 \nL 1275 3500 \nL 2222 3500 \nL 2222 3053 \nL 1275 3053 \nL 1275 0 \nL 697 0 \nL 697 3053 \nL 147 3053 \nL 147 3500 \nL 697 3500 \nL 697 3744 \nQ 697 4328 969 4595 \nQ 1241 4863 1831 4863 \nL 2375 4863 \nz\n\" id=\"DejaVuSans-66\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2631 2963 \nQ 2534 3019 2420 3045 \nQ 2306 3072 2169 3072 \nQ 1681 3072 1420 2755 \nQ 1159 2438 1159 1844 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1341 3275 1631 3429 \nQ 1922 3584 2338 3584 \nQ 2397 3584 2469 3576 \nQ 2541 3569 2628 3553 \nL 2631 2963 \nz\n\" id=\"DejaVuSans-72\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" id=\"DejaVuSans-65\" transform=\"scale(0.015625)\"/>\n      <path d=\"M -19 4666 \nL 3928 4666 \nL 3928 4134 \nL 2272 4134 \nL 2272 0 \nL 1638 0 \nL 1638 4134 \nL -19 4134 \nL -19 4666 \nz\n\" id=\"DejaVuSans-54\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2906 1791 \nQ 2906 2416 2648 2759 \nQ 2391 3103 1925 3103 \nQ 1463 3103 1205 2759 \nQ 947 2416 947 1791 \nQ 947 1169 1205 825 \nQ 1463 481 1925 481 \nQ 2391 481 2648 825 \nQ 2906 1169 2906 1791 \nz\nM 3481 434 \nQ 3481 -459 3084 -895 \nQ 2688 -1331 1869 -1331 \nQ 1566 -1331 1297 -1286 \nQ 1028 -1241 775 -1147 \nL 775 -588 \nQ 1028 -725 1275 -790 \nQ 1522 -856 1778 -856 \nQ 2344 -856 2625 -561 \nQ 2906 -266 2906 331 \nL 2906 616 \nQ 2728 306 2450 153 \nQ 2172 0 1784 0 \nQ 1141 0 747 490 \nQ 353 981 353 1791 \nQ 353 2603 747 3093 \nQ 1141 3584 1784 3584 \nQ 2172 3584 2450 3431 \nQ 2728 3278 2906 2969 \nL 2906 3500 \nL 3481 3500 \nL 3481 434 \nz\n\" id=\"DejaVuSans-67\" transform=\"scale(0.015625)\"/>\n     </defs>\n     <use xlink:href=\"#DejaVuSans-46\"/>\n     <use x=\"50.269531\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"78.052734\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"141.431641\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"202.710938\" xlink:href=\"#DejaVuSans-6c\"/>\n     <use x=\"230.494141\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"262.28125\" xlink:href=\"#DejaVuSans-56\"/>\n     <use x=\"322.939453\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"384.21875\" xlink:href=\"#DejaVuSans-6c\"/>\n     <use x=\"412.001953\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"439.785156\" xlink:href=\"#DejaVuSans-64\"/>\n     <use x=\"503.261719\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"564.541016\" xlink:href=\"#DejaVuSans-74\"/>\n     <use x=\"603.75\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"631.533203\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"692.714844\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"756.09375\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"787.880859\" xlink:href=\"#DejaVuSans-4c\"/>\n     <use x=\"841.84375\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"903.025391\" xlink:href=\"#DejaVuSans-73\"/>\n     <use x=\"955.125\" xlink:href=\"#DejaVuSans-73\"/>\n     <use x=\"1007.224609\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1039.011719\" xlink:href=\"#DejaVuSans-66\"/>\n     <use x=\"1074.216797\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"1135.398438\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"1176.511719\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1208.298828\" xlink:href=\"#DejaVuSans-56\"/>\n     <use x=\"1268.957031\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"1330.236328\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"1371.349609\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"1399.132812\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"1460.65625\" xlink:href=\"#DejaVuSans-64\"/>\n     <use x=\"1524.132812\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1555.919922\" xlink:href=\"#DejaVuSans-54\"/>\n     <use x=\"1602.253906\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"1643.367188\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"1704.646484\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"1732.429688\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"1795.808594\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"1823.591797\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"1886.970703\" xlink:href=\"#DejaVuSans-67\"/>\n     <use x=\"1950.447266\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1982.234375\" xlink:href=\"#DejaVuSans-45\"/>\n     <use x=\"2045.417969\" xlink:href=\"#DejaVuSans-70\"/>\n     <use x=\"2108.894531\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"2170.076172\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"2225.056641\" xlink:href=\"#DejaVuSans-68\"/>\n     <use x=\"2288.435547\" xlink:href=\"#DejaVuSans-73\"/>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb62e034be6\">\n   <rect height=\"147.88\" width=\"301.345\" x=\"43.78125\" y=\"22.318125\"/>\n  </clipPath>\n </defs>\n</svg>\n",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(5, 3))\n",
    "fig.set_dpi(fig_dpi)\n",
    "\n",
    "plt.plot(epoch_results[:, 0], epoch_results[:, 3], 'x-', label=\"Final Validation Loss\", lw=lw)\n",
    "\n",
    "plt.ylim(None, 5)\n",
    "\n",
    "plt.title('Final Validation Loss for Varied Training Epochs')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epochs')\n",
    "\n",
    "# plt.legend()\n",
    "# plt.xscale('log')\n",
    "plt.grid()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('epochs-loss.png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "name": "pythonjvsc74a57bd0333605e348ea7c6bf4ca805dbc845da062650cb5bf1d8f33f5f4a9d3bca7d68b",
   "display_name": "Python 3.9.3  ('.venv': venv)"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.3"
  },
  "metadata": {
   "interpreter": {
    "hash": "333605e348ea7c6bf4ca805dbc845da062650cb5bf1d8f33f5f4a9d3bca7d68b"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}