630 lines
286 KiB
Plaintext
630 lines
286 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "3c568ab9",
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import matplotlib as mpl\n",
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"from matplotlib import pyplot as plt"
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]
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},
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{
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"cell_type": "markdown",
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"id": "7ecc547f",
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"metadata": {},
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"source": [
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"# Fixed Learning Rate\n",
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"80/10/10 Split, 100/200 epochs\n",
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"\n",
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"## Index\n",
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"0. learning rate\n",
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"1. top-1 accuracy\n",
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"2. top-5 accuracy\n",
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"3. last val loss\n",
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"4. last val accuracy"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "1b2471d2",
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"metadata": {},
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"outputs": [],
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"source": [
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"fixed_results_200e = np.array([\n",
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" [1e-6, 0.31, 2.84, 5.28, 0.67],\n",
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" [1e-5, 0.8, 2.59, 5.28, 0.55],\n",
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" [1e-4, 6.98, 17.23, 4.6, 7.41],\n",
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" [1e-3, 21.56, 44.72, 4.97, 26.9],\n",
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" [5e-3, 39.35, 66.83, 3.34, 43.5],\n",
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" [1e-2, 13.65, 30.02, 4.15, 17.46],\n",
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" [5e-2, 1.79, 6.73, 5.13, 1.78],\n",
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" [1e-1, 0.8, 2.78, 5.29, 0.55]\n",
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"])\n",
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"\n",
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"fixed_results_100e = np.array([\n",
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" [1e-6, 0.31, 2.9, 5.28, 0.67],\n",
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" [1e-5, 0.8, 2.1, 5.28, 0.55],\n",
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" [1e-4, 2.35, 8.28, 5.00, 2.63],\n",
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" [1e-3, 18.47, 40.09, 4.55, 23.41],\n",
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" [5e-3, 35.52, 63.19, 3.33, 40.93],\n",
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" [1e-2, 22.42, 47.19, 3.59, 27.02],\n",
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" [5e-2, 2.47, 9.02, 5.07, 2.14],\n",
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" [1e-1, 0.8, 2.53, 5.28, 0.55]\n",
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"])"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ca34155e",
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"metadata": {},
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"source": [
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"## 100 Epochs"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "c664a31c",
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"metadata": {},
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"outputs": [
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{
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"data": {
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\n",
|
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"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.plot(fixed_results_100e[:, 0], fixed_results_100e[:, 1], 'x-', label=\"Top-1 Accuracy\")\n",
|
|
"plt.plot(fixed_results_100e[:, 0], fixed_results_100e[:, 2], 'x-', label=\"Top-5 Accuracy\")\n",
|
|
"plt.plot(fixed_results_100e[:, 0], fixed_results_100e[:, 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": "bf5fa35b",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
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"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.plot(fixed_results_100e[:, 0], fixed_results_100e[:, 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": "ff7746a4",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 200 Epochs"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 5,
|
|
"id": "9f4a799f",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.plot(fixed_results_200e[:, 0], fixed_results_200e[:, 1], 'x-', label=\"Top-1 Accuracy\")\n",
|
|
"plt.plot(fixed_results_200e[:, 0], fixed_results_200e[:, 2], 'x-', label=\"Top-5 Accuracy\")\n",
|
|
"plt.plot(fixed_results_200e[:, 0], fixed_results_200e[:, 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": 6,
|
|
"id": "cdf18f4a",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.plot(fixed_results_200e[:, 0], fixed_results_200e[:, 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": "01a797d7",
|
|
"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": 7,
|
|
"id": "a9023eeb",
|
|
"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": 8,
|
|
"id": "9b32b8fe",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"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('Gamma')\n",
|
|
"\n",
|
|
"plt.legend()\n",
|
|
"# plt.xscale('log')\n",
|
|
"plt.grid()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"id": "69c98182",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.plot(step_down_results[:, 2], step_down_results[:, 5], 'x-', label=\"Final Validation Loss\")\n",
|
|
"\n",
|
|
"# plt.ylim(0)\n",
|
|
"\n",
|
|
"plt.title('Final Validation Loss for Step-Down Learning Rates')\n",
|
|
"plt.ylabel('Loss')\n",
|
|
"plt.xlabel('Gamma')\n",
|
|
"\n",
|
|
"# plt.legend()\n",
|
|
"plt.grid()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "f9c67f09",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Exponential Decay\n",
|
|
"80/10/10 Split, 100 epochs\n",
|
|
"\n",
|
|
"## Index\n",
|
|
"0. learning rate\n",
|
|
"1. decay rate\n",
|
|
"2. top-1 accuracy\n",
|
|
"3. top-5 accuracy\n",
|
|
"4. last val loss\n",
|
|
"5. last val accuracy"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 10,
|
|
"id": "5322e4d4",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"exp_results = np.array([\n",
|
|
" [1e-2, 0.70, 2.35, 8.09, 4.97, 2.75],\n",
|
|
" [1e-2, 0.80, 5.0, 15.57, 4.61, 7.23],\n",
|
|
" [1e-2, 0.90, 25.88, 52.5, 3.28, 29.17],\n",
|
|
" [1e-2, 0.925, 37.43, 63.37, 3.13, 40.81],\n",
|
|
" [1e-2, 0.95, 44.1, 71.22, 2.99, 48.84],\n",
|
|
" [1e-2, 0.98, 44.41, 71.83, 3.04, 47.61],\n",
|
|
" [1e-2, 0.99, 42.43, 69.55, 3.25, 45.47],\n",
|
|
" \n",
|
|
" [1e-1, 0.85, 12.91, 34.96, 3.85, 14.89],\n",
|
|
" [1e-1, 0.9, 0.8, 2.29, 5.29, 0.55]\n",
|
|
"])\n",
|
|
"two_results = 7"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"id": "959af09b",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.plot(exp_results[:two_results, 1], exp_results[:two_results, 2], 'x-', label=\"Top-1 Accuracy\")\n",
|
|
"plt.plot(exp_results[:two_results, 1], exp_results[:two_results, 3], 'x-', label=\"Top-5 Accuracy\")\n",
|
|
"plt.plot(exp_results[:two_results, 1], exp_results[:two_results, 5], 'x-', label=\"Final Val. Accuracy\")\n",
|
|
"\n",
|
|
"plt.ylim(0)\n",
|
|
"\n",
|
|
"plt.title('Model Accuracy for Exponential Learning Rates')\n",
|
|
"plt.ylabel('% Accuracy')\n",
|
|
"plt.xlabel('Decay Rate')\n",
|
|
"\n",
|
|
"plt.legend()\n",
|
|
"# plt.xscale('log')\n",
|
|
"plt.grid()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"id": "fe8641ec",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.plot(exp_results[:two_results, 1], exp_results[:two_results, 4], 'x-', label=\"Final Validation Loss\")\n",
|
|
"\n",
|
|
"# plt.ylim(0)\n",
|
|
"\n",
|
|
"plt.title('Final Validation Loss for Exponential Learning Rates')\n",
|
|
"plt.ylabel('Loss')\n",
|
|
"plt.xlabel('Decay Rate')\n",
|
|
"\n",
|
|
"# plt.legend()\n",
|
|
"plt.grid()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "3dfbd4bb",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Sigmoid Decay\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": 13,
|
|
"id": "dc7ccd8d",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"sig_results = np.array([\n",
|
|
" [1e-2, 50, 0.05, 46.94, 72.88, 2.79, 52.94],\n",
|
|
" [1e-2, 50, 0.1, 45.95, 73.63, 2.65, 51.29],\n",
|
|
" [1e-2, 50, 0.15, 41.94, 68.56, 2.94, 47.49],\n",
|
|
" [1e-2, 50, 0.2, 41.82, 68.13, 2.82, 45.16]\n",
|
|
"])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 14,
|
|
"id": "5ab4be17",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.plot(sig_results[:, 2], sig_results[:, 3], 'x-', label=\"Top-1 Accuracy\")\n",
|
|
"plt.plot(sig_results[:, 2], sig_results[:, 4], 'x-', label=\"Top-5 Accuracy\")\n",
|
|
"plt.plot(sig_results[:, 2], sig_results[:, 6], 'x-', label=\"Final Val. Accuracy\")\n",
|
|
"\n",
|
|
"plt.ylim(0)\n",
|
|
"\n",
|
|
"plt.title('Model Accuracy for Sigmoid Learning Rates')\n",
|
|
"plt.ylabel('% Accuracy')\n",
|
|
"plt.xlabel('Gamma')\n",
|
|
"\n",
|
|
"plt.legend()\n",
|
|
"# plt.xscale('log')\n",
|
|
"plt.grid()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
|
"id": "49f5ca1a",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.plot(sig_results[:, 2], sig_results[:, 5], 'x-', label=\"Final Validation Loss\")\n",
|
|
"\n",
|
|
"# plt.ylim(0)\n",
|
|
"\n",
|
|
"plt.title('Final Validation Loss for Sigmoid Learning Rates')\n",
|
|
"plt.ylabel('Loss')\n",
|
|
"plt.xlabel('Gamma')\n",
|
|
"\n",
|
|
"# plt.legend()\n",
|
|
"plt.grid()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "be993da6",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Best\n",
|
|
"\n",
|
|
"100 Epochs\n",
|
|
"\n",
|
|
"top-1 accuracy indexes: 1, 3, 2, 3"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 16,
|
|
"id": "6ab2b999",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"\n",
|
|
"best_top_1_results = list()\n",
|
|
"best_labels = list()\n",
|
|
"\n",
|
|
"# Fixed\n",
|
|
"b_fixed = fixed_results_100e[np.argmax(fixed_results_100e[:, 1])]\n",
|
|
"best_top_1_results.append(b_fixed[1:3])\n",
|
|
"best_labels.append(f'Fixed\\n{b_fixed[0]}')\n",
|
|
"\n",
|
|
"# Step Down\n",
|
|
"b_sd = step_down_results[np.argmax(step_down_results[:, 3])]\n",
|
|
"best_top_1_results.append(b_sd[3:5])\n",
|
|
"best_labels.append(f'Step Down\\n{b_sd[0]}, Step: {b_sd[1]}, Gamma: {b_sd[2]}')\n",
|
|
"\n",
|
|
"# Exp\n",
|
|
"b_exp = exp_results[np.argmax(exp_results[:, 2])]\n",
|
|
"best_top_1_results.append(b_exp[2:4])\n",
|
|
"best_labels.append(f'Exponential Decay\\n{b_exp[0]}, Rate: {b_exp[1]}')\n",
|
|
"\n",
|
|
"# Sig\n",
|
|
"b_sig = sig_results[np.argmax(sig_results[:, 3])]\n",
|
|
"best_top_1_results.append(b_sig[3:5])\n",
|
|
"best_labels.append(f'Sigmoid Decay\\n{b_sig[0]}, Step: {b_sig[1]}, Gamma: {b_sig[2]}')\n",
|
|
"\n",
|
|
"# print(best_top_1_results)\n",
|
|
"# print(best_labels)\n",
|
|
"# print(best_top_1_results)\n",
|
|
"plt.barh(range(len(best_labels)), [i[0] for i in best_top_1_results], tick_label=best_labels, label='Top-1')\n",
|
|
"plt.barh(range(len(best_labels)), [i[1] - i[0] for i in best_top_1_results], tick_label=best_labels, label='Top-5', left=[i[0] for i in best_top_1_results])\n",
|
|
"\n",
|
|
"plt.legend()\n",
|
|
"plt.grid(axis='x')\n",
|
|
"plt.title('Best Test Accuracy for Various Learning Schedule Policies')\n",
|
|
"plt.xlabel('% Test Accuracy')\n",
|
|
"plt.ylabel('Learning Schedule Policies')\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "8f36766a",
|
|
"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
|
|
}
|