{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "a6961e73", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib as mpl\n", "from matplotlib import pyplot as plt" ] }, { "cell_type": "markdown", "id": "5d93832a", "metadata": {}, "source": [ "# Fixed Learning Rate\n", "80/10/10 Split, 200 epochs\n", "\n", "## Index\n", "0. learning rate\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": 2, "id": "95b71471", "metadata": {}, "outputs": [], "source": [ "fixed_results = np.array([\n", " [1e-6, 0.31, 2.84, 5.28, 0.67],\n", " [1e-5, 0.8, 2.59, 5.28, 0.55],\n", " [1e-4, 6.98, 17.23, 4.6, 7.41],\n", " [1e-3, 21.56, 44.72, 4.97, 26.9],\n", " [5e-3, 39.35, 66.83, 3.34, 43.5],\n", " [1e-2, 13.65, 30.02, 4.15, 17.46],\n", " [5e-2, 1.79, 6.73, 5.13, 1.78],\n", " [1e-1, 0.8, 2.78, 5.29, 0.55]\n", "])" ] }, { "cell_type": "code", "execution_count": 3, "id": "4d1d5559", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(fixed_results[:, 0], fixed_results[:, 1], 'x-', label=\"Top-1 Accuracy\")\n", "plt.plot(fixed_results[:, 0], fixed_results[:, 2], 'x-', label=\"Top-5 Accuracy\")\n", "plt.plot(fixed_results[:, 0], fixed_results[:, 4], 'x-', label=\"Final Val. Accuracy\")\n", "\n", "plt.ylim(0)\n", "\n", "plt.title('Model Accuracy for Varied Learning Rates')\n", "plt.ylabel('% Accuracy')\n", "plt.xlabel('Learning Rate')\n", "\n", "plt.legend()\n", "plt.xscale('log')\n", "plt.grid()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 4, "id": "21a098c5", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(fixed_results[:, 0], fixed_results[:, 3], 'x-', label=\"Final Validation Loss\")\n", "\n", "# plt.ylim(0)\n", "\n", "plt.title('Final Validation Loss for Varied Learning Rates')\n", "plt.ylabel('Loss')\n", "plt.xlabel('Learning Rate')\n", "\n", "# plt.legend()\n", "plt.xscale('log')\n", "plt.grid()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "32fb71f0", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.2" } }, "nbformat": 4, "nbformat_minor": 5 }