{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "5c2606e4", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib as mpl\n", "from matplotlib import pyplot as plt" ] }, { "cell_type": "markdown", "id": "26bf4aa1", "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": "4ceac619", "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": "071aaf45", "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 Fixed 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": "80114709", "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 Fixed 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": "markdown", "id": "9ae7559e", "metadata": {}, "source": [ "# Step-Down\n", "80/10/10 Split, 100 epochs\n", "\n", "## Index\n", "0. learning rate\n", "1. step size\n", "2. gamma\n", "3. top-1 accuracy\n", "4. top-5 accuracy\n", "5. last val loss\n", "6. last val accuracy" ] }, { "cell_type": "code", "execution_count": 5, "id": "a1fea30c", "metadata": {}, "outputs": [], "source": [ "step_down_results = np.array([\n", " [1e-2, 0.33, 0.1, 43.79, 70.85, 2.79, 47.24],\n", " [1e-2, 0.33, 0.25, 45.52, 73.07, 2.90, 49.88],\n", " [1e-2, 0.33, 0.5, 45.71, 71.71, 2.89, 49.39],\n", " [1e-2, 0.33, 0.75, 40.09, 68.19, 3.00, 46.38]\n", "])" ] }, { "cell_type": "code", "execution_count": 6, "id": "7c134854", "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(step_down_results[:, 2], step_down_results[:, 3], 'x-', label=\"Top-1 Accuracy\")\n", "plt.plot(step_down_results[:, 2], step_down_results[:, 4], 'x-', label=\"Top-5 Accuracy\")\n", "plt.plot(step_down_results[:, 2], step_down_results[:, 6], 'x-', label=\"Final Val. Accuracy\")\n", "\n", "plt.ylim(0)\n", "\n", "plt.title('Model Accuracy for Step Down 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": null, "id": "914e9081", "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": "3.8.4" } }, "nbformat": 4, "nbformat_minor": 5 }