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SCNet/02_model_training_rmsprop.ipynb
karllzy c2eadb9465 Add other optimizers
2022-06-27 19:03:10 +08:00

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"# Model training Experiment"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"In order to provide the experimental evidence to back up the statement in the section 2.3.2 that our shortcut block can prevent degration problem.\n",
"\n",
"Plain Networks. We first evaluate 5-layer and 11-layer plain nets. Comparing to the 5-layer one, the 11-layer one has three times convolutional layers."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"import pickle\n",
"import time\n",
"\n",
"import numpy as np\n",
"from matplotlib import ticker\n",
"from scipy.io import loadmat\n",
"from models import Plain5, Plain11, ShortCut5, ShortCut11\n",
"from sklearn.model_selection import train_test_split\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib notebook"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"## Load data\n",
"load data and split them into train, val, test"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"shape of data:\n",
"x_train: (5728, 1, 102), y_train: (5728, 1),\n",
"x_val: (2455, 1, 102), y_val: (2455, 1)\n",
"x_test: (3508, 1, 102), y_test: (3508, 1)\n"
]
}
],
"source": [
"import random\n",
"from numpy.random import seed\n",
"import tensorflow\n",
"import time\n",
"seed(1900)\n",
"tensorflow.random.set_seed(1900)\n",
"time1 = time.time()\n",
"data = loadmat('dataset/mango/mango_dm_split.mat')\n",
"training_method = \"rmsprop\"\n",
"x_train, y_train, x_test, y_test = data['x_train'], data['y_train'], data['x_test'], data['y_test']\n",
"x_train, x_val, y_train, y_val = train_test_split(x_train, y_train, test_size=0.3, random_state=12, shuffle=True)\n",
"x_train, x_val, x_test = x_train[:, np.newaxis, :], x_val[:, np.newaxis, :], x_test[:, np.newaxis, :]\n",
"print(f\"shape of data:\\n\"\n",
" f\"x_train: {x_train.shape}, y_train: {y_train.shape},\\n\"\n",
" f\"x_val: {x_val.shape}, y_val: {y_val.shape}\\n\"\n",
" f\"x_test: {x_test.shape}, y_test: {y_test.shape}\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"## Build Plain networks and Training"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"plain_5, plain_11 = Plain5(input_shape=(1, 102)), Plain11(input_shape=(1, 102))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2022-06-27 14:33:42.405210: W tensorflow/core/platform/profile_utils/cpu_utils.cc:128] Failed to get CPU frequency: 0 Hz\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1024\n",
"90/90 [==============================] - 3s 8ms/step - loss: 0.0198 - val_loss: 0.0270 - lr: 0.0025\n",
"Epoch 2/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0114 - val_loss: 0.0273 - lr: 0.0025\n",
"Epoch 3/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0087 - val_loss: 0.0316 - lr: 0.0025\n",
"Epoch 4/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0071 - val_loss: 0.3171 - lr: 0.0025\n",
"Epoch 5/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0060 - val_loss: 0.2319 - lr: 0.0025\n",
"Epoch 6/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0056 - val_loss: 0.3298 - lr: 0.0025\n",
"Epoch 7/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0055 - val_loss: 0.3246 - lr: 0.0025\n",
"Epoch 8/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0052 - val_loss: 0.0285 - lr: 0.0025\n",
"Epoch 9/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0052 - val_loss: 0.1045 - lr: 0.0025\n",
"Epoch 10/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0049 - val_loss: 0.3297 - lr: 0.0025\n",
"Epoch 11/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0049 - val_loss: 0.2305 - lr: 0.0025\n",
"Epoch 12/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0048 - val_loss: 0.3298 - lr: 0.0025\n",
"Epoch 13/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0048 - val_loss: 0.1098 - lr: 0.0025\n",
"Epoch 14/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0045 - val_loss: 0.3298 - lr: 0.0025\n",
"Epoch 15/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0046 - val_loss: 0.2088 - lr: 0.0025\n",
"Epoch 16/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0044 - val_loss: 0.3298 - lr: 0.0025\n",
"Epoch 17/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0046 - val_loss: 0.0896 - lr: 0.0025\n",
"Epoch 18/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0044 - val_loss: 0.1106 - lr: 0.0025\n",
"Epoch 19/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0044 - val_loss: 0.1194 - lr: 0.0025\n",
"Epoch 20/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0043 - val_loss: 0.1093 - lr: 0.0025\n",
"Epoch 21/1024\n",
"90/90 [==============================] - 1s 7ms/step - loss: 0.0042 - val_loss: 0.3263 - lr: 0.0025\n",
"Epoch 22/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0044 - val_loss: 0.2587 - lr: 0.0025\n",
"Epoch 23/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0044 - val_loss: 0.2294 - lr: 0.0025\n",
"Epoch 24/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0042 - val_loss: 0.0672 - lr: 0.0025\n",
"Epoch 25/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0042 - val_loss: 0.1227 - lr: 0.0025\n",
"Epoch 26/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0042 - val_loss: 0.1618 - lr: 0.0025\n",
"Epoch 27/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0039 - val_loss: 0.1375 - lr: 0.0012\n",
"Epoch 28/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0039 - val_loss: 0.3298 - lr: 0.0012\n",
"Epoch 29/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0037 - val_loss: 0.1718 - lr: 0.0012\n",
"Epoch 30/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0038 - val_loss: 0.0339 - lr: 0.0012\n",
"Epoch 31/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0036 - val_loss: 0.0251 - lr: 0.0012\n",
"Epoch 32/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0038 - val_loss: 0.0774 - lr: 0.0012\n",
"Epoch 33/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0037 - val_loss: 0.1870 - lr: 0.0012\n",
"Epoch 34/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0036 - val_loss: 0.3287 - lr: 0.0012\n",
"Epoch 35/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0038 - val_loss: 0.1729 - lr: 0.0012\n",
"Epoch 36/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0038 - val_loss: 0.1035 - lr: 0.0012\n",
"Epoch 37/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0037 - val_loss: 0.3068 - lr: 0.0012\n",
"Epoch 38/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0036 - val_loss: 0.3297 - lr: 0.0012\n",
"Epoch 39/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0038 - val_loss: 0.0264 - lr: 0.0012\n",
"Epoch 40/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0037 - val_loss: 0.0777 - lr: 0.0012\n",
"Epoch 41/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0036 - val_loss: 0.3036 - lr: 0.0012\n",
"Epoch 42/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0037 - val_loss: 0.0416 - lr: 0.0012\n",
"Epoch 43/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0036 - val_loss: 0.0212 - lr: 0.0012\n",
"Epoch 44/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0036 - val_loss: 0.0694 - lr: 0.0012\n",
"Epoch 45/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0037 - val_loss: 0.0271 - lr: 0.0012\n",
"Epoch 46/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0037 - val_loss: 0.0884 - lr: 0.0012\n",
"Epoch 47/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0036 - val_loss: 0.1792 - lr: 0.0012\n",
"Epoch 48/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0037 - val_loss: 0.1832 - lr: 0.0012\n",
"Epoch 49/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0036 - val_loss: 0.1116 - lr: 0.0012\n",
"Epoch 50/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0035 - val_loss: 0.0808 - lr: 0.0012\n",
"Epoch 51/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0036 - val_loss: 0.0581 - lr: 0.0012\n",
"Epoch 52/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0035 - val_loss: 0.2975 - lr: 0.0012\n",
"Epoch 53/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.3298 - lr: 0.0012\n",
"Epoch 54/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0036 - val_loss: 0.1062 - lr: 0.0012\n",
"Epoch 55/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0036 - val_loss: 0.2787 - lr: 0.0012\n",
"Epoch 56/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0035 - val_loss: 0.2698 - lr: 0.0012\n",
"Epoch 57/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0036 - val_loss: 0.1503 - lr: 0.0012\n",
"Epoch 58/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0036 - val_loss: 0.1154 - lr: 0.0012\n",
"Epoch 59/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0036 - val_loss: 0.3291 - lr: 0.0012\n",
"Epoch 60/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0036 - val_loss: 0.1021 - lr: 0.0012\n",
"Epoch 61/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0035 - val_loss: 0.3290 - lr: 0.0012\n",
"Epoch 62/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0037 - val_loss: 0.1179 - lr: 0.0012\n",
"Epoch 63/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0035 - val_loss: 0.2032 - lr: 0.0012\n",
"Epoch 64/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.2272 - lr: 0.0012\n",
"Epoch 65/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0035 - val_loss: 0.0712 - lr: 0.0012\n",
"Epoch 66/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0036 - val_loss: 0.0486 - lr: 0.0012\n",
"Epoch 67/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.0588 - lr: 0.0012\n",
"Epoch 68/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0036 - val_loss: 0.2248 - lr: 0.0012\n",
"Epoch 69/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.0816 - lr: 6.2500e-04\n",
"Epoch 70/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.2215 - lr: 6.2500e-04\n",
"Epoch 71/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.0740 - lr: 6.2500e-04\n",
"Epoch 72/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.1668 - lr: 6.2500e-04\n",
"Epoch 73/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0035 - val_loss: 0.0555 - lr: 6.2500e-04\n",
"Epoch 74/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.1026 - lr: 6.2500e-04\n",
"Epoch 75/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.3258 - lr: 6.2500e-04\n",
"Epoch 76/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.2715 - lr: 6.2500e-04\n",
"Epoch 77/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0034 - val_loss: 0.0951 - lr: 6.2500e-04\n",
"Epoch 78/1024\n",
"90/90 [==============================] - 0s 6ms/step - loss: 0.0033 - val_loss: 0.0430 - lr: 6.2500e-04\n",
"Epoch 79/1024\n",
"90/90 [==============================] - 1s 7ms/step - loss: 0.0033 - val_loss: 0.0836 - lr: 6.2500e-04\n",
"Epoch 80/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0035 - val_loss: 0.1372 - lr: 6.2500e-04\n",
"Epoch 81/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0034 - val_loss: 0.1639 - lr: 6.2500e-04\n",
"Epoch 82/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0032 - val_loss: 0.2082 - lr: 6.2500e-04\n",
"Epoch 83/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0034 - val_loss: 0.1799 - lr: 6.2500e-04\n",
"Epoch 84/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0033 - val_loss: 0.2539 - lr: 6.2500e-04\n",
"Epoch 85/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0032 - val_loss: 0.0264 - lr: 6.2500e-04\n",
"Epoch 86/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0032 - val_loss: 0.3204 - lr: 6.2500e-04\n",
"Epoch 87/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0034 - val_loss: 0.1539 - lr: 6.2500e-04\n",
"Epoch 88/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0032 - val_loss: 0.1970 - lr: 6.2500e-04\n",
"Epoch 89/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0033 - val_loss: 0.3258 - lr: 6.2500e-04\n",
"Epoch 90/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0034 - val_loss: 0.0241 - lr: 6.2500e-04\n",
"Epoch 91/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0033 - val_loss: 0.1025 - lr: 6.2500e-04\n",
"Epoch 92/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0033 - val_loss: 0.0581 - lr: 6.2500e-04\n",
"Epoch 93/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.1295 - lr: 6.2500e-04\n",
"Epoch 94/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0032 - val_loss: 0.0380 - lr: 3.1250e-04\n",
"Epoch 95/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0032 - val_loss: 0.1295 - lr: 3.1250e-04\n",
"Epoch 96/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0032 - val_loss: 0.1576 - lr: 3.1250e-04\n",
"Epoch 97/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0032 - val_loss: 0.0818 - lr: 3.1250e-04\n",
"Epoch 98/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0033 - val_loss: 0.1004 - lr: 3.1250e-04\n",
"Epoch 99/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0032 - val_loss: 0.1926 - lr: 3.1250e-04\n",
"Epoch 100/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0031 - val_loss: 0.0154 - lr: 3.1250e-04\n",
"Epoch 101/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0317 - lr: 3.1250e-04\n",
"Epoch 102/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0032 - val_loss: 0.2041 - lr: 3.1250e-04\n",
"Epoch 103/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0033 - val_loss: 0.1458 - lr: 3.1250e-04\n",
"Epoch 104/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0032 - val_loss: 0.0564 - lr: 3.1250e-04\n",
"Epoch 105/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.1855 - lr: 3.1250e-04\n",
"Epoch 106/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0032 - val_loss: 0.0720 - lr: 3.1250e-04\n",
"Epoch 107/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0032 - val_loss: 0.0191 - lr: 3.1250e-04\n",
"Epoch 108/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0563 - lr: 3.1250e-04\n",
"Epoch 109/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0032 - val_loss: 0.1351 - lr: 3.1250e-04\n",
"Epoch 110/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.2901 - lr: 3.1250e-04\n",
"Epoch 111/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.0184 - lr: 3.1250e-04\n",
"Epoch 112/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0032 - val_loss: 0.1113 - lr: 3.1250e-04\n",
"Epoch 113/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0638 - lr: 3.1250e-04\n",
"Epoch 114/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0032 - val_loss: 0.1021 - lr: 3.1250e-04\n",
"Epoch 115/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.2921 - lr: 3.1250e-04\n",
"Epoch 116/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0032 - val_loss: 0.0303 - lr: 3.1250e-04\n",
"Epoch 117/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0222 - lr: 3.1250e-04\n",
"Epoch 118/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0033 - val_loss: 0.1348 - lr: 3.1250e-04\n",
"Epoch 119/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0883 - lr: 3.1250e-04\n",
"Epoch 120/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0580 - lr: 3.1250e-04\n",
"Epoch 121/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0032 - val_loss: 0.1161 - lr: 3.1250e-04\n",
"Epoch 122/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.1477 - lr: 3.1250e-04\n",
"Epoch 123/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.2017 - lr: 3.1250e-04\n",
"Epoch 124/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0487 - lr: 3.1250e-04\n",
"Epoch 125/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0363 - lr: 3.1250e-04\n",
"Epoch 126/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0388 - lr: 1.5625e-04\n",
"Epoch 127/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0081 - lr: 1.5625e-04\n",
"Epoch 128/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0058 - lr: 1.5625e-04\n",
"Epoch 129/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0032 - val_loss: 0.0787 - lr: 1.5625e-04\n",
"Epoch 130/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0184 - lr: 1.5625e-04\n",
"Epoch 131/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0032 - val_loss: 0.0147 - lr: 1.5625e-04\n",
"Epoch 132/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0035 - lr: 1.5625e-04\n",
"Epoch 133/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0213 - lr: 1.5625e-04\n",
"Epoch 134/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.1167 - lr: 1.5625e-04\n",
"Epoch 135/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0346 - lr: 1.5625e-04\n",
"Epoch 136/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0195 - lr: 1.5625e-04\n",
"Epoch 137/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0259 - lr: 1.5625e-04\n",
"Epoch 138/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.1509 - lr: 1.5625e-04\n",
"Epoch 139/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0172 - lr: 1.5625e-04\n",
"Epoch 140/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.1390 - lr: 1.5625e-04\n",
"Epoch 141/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0427 - lr: 1.5625e-04\n",
"Epoch 142/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0566 - lr: 1.5625e-04\n",
"Epoch 143/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0032 - val_loss: 0.0936 - lr: 1.5625e-04\n",
"Epoch 144/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0484 - lr: 1.5625e-04\n",
"Epoch 145/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0245 - lr: 1.5625e-04\n",
"Epoch 146/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0417 - lr: 1.5625e-04\n",
"Epoch 147/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0444 - lr: 1.5625e-04\n",
"Epoch 148/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0160 - lr: 1.5625e-04\n",
"Epoch 149/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0240 - lr: 1.5625e-04\n",
"Epoch 150/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.1530 - lr: 1.5625e-04\n",
"Epoch 151/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0309 - lr: 1.5625e-04\n",
"Epoch 152/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0119 - lr: 1.5625e-04\n",
"Epoch 153/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0099 - lr: 1.5625e-04\n",
"Epoch 154/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0605 - lr: 1.5625e-04\n",
"Epoch 155/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0145 - lr: 1.5625e-04\n",
"Epoch 156/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0188 - lr: 1.5625e-04\n",
"Epoch 157/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.2129 - lr: 1.5625e-04\n",
"Epoch 158/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0112 - lr: 7.8125e-05\n",
"Epoch 159/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0066 - lr: 7.8125e-05\n",
"Epoch 160/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0242 - lr: 7.8125e-05\n",
"Epoch 161/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0108 - lr: 7.8125e-05\n",
"Epoch 162/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0369 - lr: 7.8125e-05\n",
"Epoch 163/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0383 - lr: 7.8125e-05\n",
"Epoch 164/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0380 - lr: 7.8125e-05\n",
"Epoch 165/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0055 - lr: 7.8125e-05\n",
"Epoch 166/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0091 - lr: 7.8125e-05\n",
"Epoch 167/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0876 - lr: 7.8125e-05\n",
"Epoch 168/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0221 - lr: 7.8125e-05\n",
"Epoch 169/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0220 - lr: 7.8125e-05\n",
"Epoch 170/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0807 - lr: 7.8125e-05\n",
"Epoch 171/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0051 - lr: 7.8125e-05\n",
"Epoch 172/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0086 - lr: 7.8125e-05\n",
"Epoch 173/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0710 - lr: 7.8125e-05\n",
"Epoch 174/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0470 - lr: 7.8125e-05\n",
"Epoch 175/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0200 - lr: 7.8125e-05\n",
"Epoch 176/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.1065 - lr: 7.8125e-05\n",
"Epoch 177/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0607 - lr: 7.8125e-05\n",
"Epoch 178/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0144 - lr: 7.8125e-05\n",
"Epoch 179/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0081 - lr: 7.8125e-05\n",
"Epoch 180/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0336 - lr: 7.8125e-05\n",
"Epoch 181/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0096 - lr: 7.8125e-05\n",
"Epoch 182/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0796 - lr: 7.8125e-05\n",
"Epoch 183/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0114 - lr: 3.9062e-05\n",
"Epoch 184/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0059 - lr: 3.9062e-05\n",
"Epoch 185/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0093 - lr: 3.9062e-05\n",
"Epoch 186/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0099 - lr: 3.9062e-05\n",
"Epoch 187/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0194 - lr: 3.9062e-05\n",
"Epoch 188/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0213 - lr: 3.9062e-05\n",
"Epoch 189/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0052 - lr: 3.9062e-05\n",
"Epoch 190/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0050 - lr: 3.9062e-05\n",
"Epoch 191/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0030 - val_loss: 0.0034 - lr: 3.9062e-05\n",
"Epoch 192/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0047 - lr: 3.9062e-05\n",
"Epoch 193/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0195 - lr: 3.9062e-05\n",
"Epoch 194/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0094 - lr: 3.9062e-05\n",
"Epoch 195/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0499 - lr: 3.9062e-05\n",
"Epoch 196/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0067 - lr: 3.9062e-05\n",
"Epoch 197/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0032 - lr: 3.9062e-05\n",
"Epoch 198/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0070 - lr: 3.9062e-05\n",
"Epoch 199/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0213 - lr: 3.9062e-05\n",
"Epoch 200/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0043 - lr: 3.9062e-05\n",
"Epoch 201/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0037 - lr: 3.9062e-05\n",
"Epoch 202/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0034 - lr: 3.9062e-05\n",
"Epoch 203/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0131 - lr: 3.9062e-05\n",
"Epoch 204/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0238 - lr: 3.9062e-05\n",
"Epoch 205/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0050 - lr: 3.9062e-05\n",
"Epoch 206/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0052 - lr: 3.9062e-05\n",
"Epoch 207/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0091 - lr: 3.9062e-05\n",
"Epoch 208/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0043 - lr: 3.9062e-05\n",
"Epoch 209/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0047 - lr: 3.9062e-05\n",
"Epoch 210/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0071 - lr: 3.9062e-05\n",
"Epoch 211/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0094 - lr: 3.9062e-05\n",
"Epoch 212/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0370 - lr: 3.9062e-05\n",
"Epoch 213/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0294 - lr: 3.9062e-05\n",
"Epoch 214/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0049 - lr: 3.9062e-05\n",
"Epoch 215/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0050 - lr: 3.9062e-05\n",
"Epoch 216/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0250 - lr: 3.9062e-05\n",
"Epoch 217/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0110 - lr: 3.9062e-05\n",
"Epoch 218/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0129 - lr: 3.9062e-05\n",
"Epoch 219/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0041 - lr: 3.9062e-05\n",
"Epoch 220/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0090 - lr: 3.9062e-05\n",
"Epoch 221/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0064 - lr: 3.9062e-05\n",
"Epoch 222/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0186 - lr: 3.9062e-05\n",
"Epoch 223/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0027 - lr: 1.9531e-05\n",
"Epoch 224/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0093 - lr: 1.9531e-05\n",
"Epoch 225/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0029 - lr: 1.9531e-05\n",
"Epoch 226/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0061 - lr: 1.9531e-05\n",
"Epoch 227/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0036 - lr: 1.9531e-05\n",
"Epoch 228/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0032 - lr: 1.9531e-05\n",
"Epoch 229/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0038 - lr: 1.9531e-05\n",
"Epoch 230/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0027 - lr: 1.9531e-05\n",
"Epoch 231/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0054 - lr: 1.9531e-05\n",
"Epoch 232/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0046 - lr: 1.9531e-05\n",
"Epoch 233/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0040 - lr: 1.9531e-05\n",
"Epoch 234/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0059 - lr: 1.9531e-05\n",
"Epoch 235/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0053 - lr: 1.9531e-05\n",
"Epoch 236/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0063 - lr: 1.9531e-05\n",
"Epoch 237/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0066 - lr: 1.9531e-05\n",
"Epoch 238/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0050 - lr: 1.9531e-05\n",
"Epoch 239/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0043 - lr: 1.9531e-05\n",
"Epoch 240/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0032 - lr: 1.9531e-05\n",
"Epoch 241/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0039 - lr: 1.9531e-05\n",
"Epoch 242/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0075 - lr: 1.9531e-05\n",
"Epoch 243/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0080 - lr: 1.9531e-05\n",
"Epoch 244/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0050 - lr: 1.9531e-05\n",
"Epoch 245/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0033 - lr: 1.9531e-05\n",
"Epoch 246/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0030 - lr: 1.9531e-05\n",
"Epoch 247/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0028 - lr: 1.9531e-05\n",
"Epoch 248/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0034 - lr: 1.9531e-05\n",
"Epoch 249/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 250/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0031 - lr: 9.7656e-06\n",
"Epoch 251/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 252/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 253/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0038 - lr: 9.7656e-06\n",
"Epoch 254/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 255/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 256/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 257/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 258/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 259/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0027 - lr: 9.7656e-06\n",
"Epoch 260/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0033 - lr: 9.7656e-06\n",
"Epoch 261/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0031 - lr: 9.7656e-06\n",
"Epoch 262/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 263/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0027 - lr: 9.7656e-06\n",
"Epoch 264/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 265/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0044 - lr: 9.7656e-06\n",
"Epoch 266/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0027 - lr: 9.7656e-06\n",
"Epoch 267/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 268/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 269/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0033 - lr: 9.7656e-06\n",
"Epoch 270/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 271/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0038 - lr: 9.7656e-06\n",
"Epoch 272/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0035 - lr: 9.7656e-06\n",
"Epoch 273/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0030 - lr: 9.7656e-06\n",
"Epoch 274/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0027 - lr: 9.7656e-06\n",
"Epoch 275/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0027 - lr: 9.7656e-06\n",
"Epoch 276/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0032 - lr: 9.7656e-06\n",
"Epoch 277/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0032 - lr: 9.7656e-06\n",
"Epoch 278/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0031 - lr: 9.7656e-06\n",
"Epoch 279/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0042 - lr: 9.7656e-06\n",
"Epoch 280/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 281/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 282/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0033 - lr: 9.7656e-06\n",
"Epoch 283/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 284/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0029 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 285/1024\n",
"90/90 [==============================] - 1s 12ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 286/1024\n",
"90/90 [==============================] - 1s 12ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 287/1024\n",
"90/90 [==============================] - 1s 10ms/step - loss: 0.0030 - val_loss: 0.0032 - lr: 4.8828e-06\n",
"Epoch 288/1024\n",
"90/90 [==============================] - 1s 7ms/step - loss: 0.0030 - val_loss: 0.0030 - lr: 4.8828e-06\n",
"Epoch 289/1024\n",
"90/90 [==============================] - 1s 8ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 290/1024\n",
"90/90 [==============================] - 1s 7ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 291/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 292/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 293/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 294/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 295/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 296/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 297/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 298/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 299/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 300/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 301/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0032 - lr: 4.8828e-06\n",
"Epoch 302/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0029 - lr: 4.8828e-06\n",
"Epoch 303/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0031 - lr: 4.8828e-06\n",
"Epoch 304/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0029 - lr: 4.8828e-06\n",
"Epoch 305/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 306/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0029 - lr: 4.8828e-06\n",
"Epoch 307/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 308/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 309/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0028 - lr: 4.8828e-06\n",
"Epoch 310/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 311/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0030 - lr: 4.8828e-06\n",
"Epoch 312/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0028 - lr: 4.8828e-06\n",
"Epoch 313/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 314/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 315/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 316/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 317/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 318/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 319/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 320/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 321/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 322/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 323/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 324/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 325/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 326/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 327/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 328/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 329/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 330/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 331/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 332/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 333/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 334/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 335/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 336/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 337/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 338/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 339/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 340/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 341/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 342/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 343/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 344/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 345/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 346/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0027 - lr: 2.4414e-06\n",
"Epoch 347/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 348/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 349/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 350/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 351/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 352/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0027 - lr: 2.4414e-06\n",
"Epoch 353/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 354/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 355/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 356/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 357/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 358/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0028 - lr: 2.4414e-06\n",
"Epoch 359/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0027 - lr: 2.4414e-06\n",
"Epoch 360/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 361/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 362/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 363/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 364/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 1.2207e-06\n",
"Epoch 365/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 1.2207e-06\n",
"Epoch 366/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 367/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 368/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0026 - lr: 1.2207e-06\n",
"Epoch 369/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 1.2207e-06\n",
"Epoch 370/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 371/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 372/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 373/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 374/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 375/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 376/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 377/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 378/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 379/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 380/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 381/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 382/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 383/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 1.2207e-06\n",
"Epoch 384/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 385/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 386/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 387/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 388/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 389/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 390/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 391/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 392/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 393/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 394/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 395/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 396/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 397/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 398/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 399/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 400/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 401/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 402/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 403/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 404/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 405/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 406/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 407/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 408/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 409/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 410/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 411/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 412/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 413/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 414/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 415/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0032 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 416/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 417/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 418/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 419/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 420/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 421/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 422/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 423/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 424/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 425/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 426/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 427/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 428/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 429/1024\n",
"90/90 [==============================] - 0s 6ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 430/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 431/1024\n",
"90/90 [==============================] - 0s 6ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 432/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 433/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 434/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 435/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 436/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 437/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 438/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 439/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 440/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 441/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 442/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 443/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 444/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 445/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 446/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 447/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 448/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 449/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 450/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 451/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 452/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 453/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 454/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 455/1024\n",
"90/90 [==============================] - 1s 8ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 456/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 457/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 458/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 459/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 460/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 461/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 462/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 463/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 464/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 465/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 466/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 467/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 468/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 469/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 470/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 471/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 472/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 473/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 474/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 475/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 476/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 477/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 478/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 479/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 480/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 481/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 482/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 483/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 484/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 485/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 486/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 487/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 488/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 489/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 490/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 491/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 492/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 493/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 494/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 495/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 496/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 497/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 498/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 499/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 500/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 501/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 502/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 503/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 504/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 505/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 506/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 507/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 508/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 509/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 510/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 511/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 512/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 513/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 514/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 515/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 516/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 517/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 518/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 519/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 520/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 521/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 522/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 523/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 524/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 525/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 526/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 527/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 528/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 529/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 530/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 531/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 532/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 533/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 534/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 535/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 536/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 537/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 538/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 539/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 540/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 541/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 542/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 543/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 544/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 545/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 546/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 547/1024\n",
"90/90 [==============================] - 0s 6ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 548/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 549/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 550/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 551/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 552/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 553/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 554/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 555/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 556/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 557/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 558/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 559/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 560/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 561/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 562/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 563/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 564/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 565/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 566/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 567/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 568/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 569/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 570/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 571/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 572/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 573/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 574/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 575/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 576/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 577/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 578/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 579/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 580/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 581/1024\n",
"90/90 [==============================] - 0s 6ms/step - loss: 0.0032 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 582/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 583/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 584/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 585/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 586/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 587/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 588/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 589/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 590/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 591/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 592/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 593/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 594/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 595/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 596/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 597/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 598/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 599/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 600/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 601/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 602/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 603/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 604/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 605/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 606/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 607/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 608/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 609/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 610/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 611/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 612/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 613/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 614/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 615/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 616/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 617/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 618/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 619/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 620/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 621/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 622/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 623/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 624/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 625/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 626/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 627/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 628/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 629/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 630/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 631/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 632/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 633/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 634/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 635/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 636/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 637/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 638/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 639/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 640/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 641/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 642/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 643/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 644/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 645/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 646/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 647/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 648/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 649/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 650/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 651/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0031 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 652/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 653/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 654/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 655/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 1/1024\n",
"90/90 [==============================] - 2s 6ms/step - loss: 0.0207 - val_loss: 0.0283 - lr: 0.0025\n",
"Epoch 2/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0098 - val_loss: 0.0696 - lr: 0.0025\n",
"Epoch 3/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0074 - val_loss: 0.0785 - lr: 0.0025\n",
"Epoch 4/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0065 - val_loss: 0.0864 - lr: 0.0025\n",
"Epoch 5/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0056 - val_loss: 0.0482 - lr: 0.0025\n",
"Epoch 6/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0052 - val_loss: 0.2884 - lr: 0.0025\n",
"Epoch 7/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0050 - val_loss: 0.1310 - lr: 0.0025\n",
"Epoch 8/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0048 - val_loss: 0.0609 - lr: 0.0025\n",
"Epoch 9/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0048 - val_loss: 0.2213 - lr: 0.0025\n",
"Epoch 10/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0045 - val_loss: 0.0551 - lr: 0.0025\n",
"Epoch 11/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0047 - val_loss: 0.2143 - lr: 0.0025\n",
"Epoch 12/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0044 - val_loss: 0.3298 - lr: 0.0025\n",
"Epoch 13/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0045 - val_loss: 0.0287 - lr: 0.0025\n",
"Epoch 14/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0043 - val_loss: 0.3180 - lr: 0.0025\n",
"Epoch 15/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0043 - val_loss: 0.0358 - lr: 0.0025\n",
"Epoch 16/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0042 - val_loss: 0.1368 - lr: 0.0025\n",
"Epoch 17/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0043 - val_loss: 0.1200 - lr: 0.0025\n",
"Epoch 18/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0041 - val_loss: 0.0494 - lr: 0.0025\n",
"Epoch 19/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0041 - val_loss: 0.2281 - lr: 0.0025\n",
"Epoch 20/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0040 - val_loss: 0.2631 - lr: 0.0025\n",
"Epoch 21/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0039 - val_loss: 0.3297 - lr: 0.0025\n",
"Epoch 22/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0041 - val_loss: 0.2029 - lr: 0.0025\n",
"Epoch 23/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0041 - val_loss: 0.0936 - lr: 0.0025\n",
"Epoch 24/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0040 - val_loss: 0.1149 - lr: 0.0025\n",
"Epoch 25/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0039 - val_loss: 0.1352 - lr: 0.0025\n",
"Epoch 26/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0040 - val_loss: 0.1189 - lr: 0.0025\n",
"Epoch 27/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0036 - val_loss: 0.0832 - lr: 0.0012\n",
"Epoch 28/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0037 - val_loss: 0.0720 - lr: 0.0012\n",
"Epoch 29/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0035 - val_loss: 0.2276 - lr: 0.0012\n",
"Epoch 30/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0035 - val_loss: 0.2282 - lr: 0.0012\n",
"Epoch 31/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.2270 - lr: 0.0012\n",
"Epoch 32/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0035 - val_loss: 0.3186 - lr: 0.0012\n",
"Epoch 33/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0035 - val_loss: 0.2281 - lr: 0.0012\n",
"Epoch 34/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0034 - val_loss: 0.0243 - lr: 0.0012\n",
"Epoch 35/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0036 - val_loss: 0.2274 - lr: 0.0012\n",
"Epoch 36/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0036 - val_loss: 0.1110 - lr: 0.0012\n",
"Epoch 37/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0035 - val_loss: 0.0749 - lr: 0.0012\n",
"Epoch 38/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.1473 - lr: 0.0012\n",
"Epoch 39/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0036 - val_loss: 0.2074 - lr: 0.0012\n",
"Epoch 40/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0035 - val_loss: 0.1604 - lr: 0.0012\n",
"Epoch 41/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0035 - val_loss: 0.1541 - lr: 0.0012\n",
"Epoch 42/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0035 - val_loss: 0.2220 - lr: 0.0012\n",
"Epoch 43/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.1884 - lr: 0.0012\n",
"Epoch 44/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.2450 - lr: 0.0012\n",
"Epoch 45/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.3236 - lr: 0.0012\n",
"Epoch 46/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0035 - val_loss: 0.1010 - lr: 0.0012\n",
"Epoch 47/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.2125 - lr: 0.0012\n",
"Epoch 48/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0035 - val_loss: 0.2005 - lr: 0.0012\n",
"Epoch 49/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0034 - val_loss: 0.2269 - lr: 0.0012\n",
"Epoch 50/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.1559 - lr: 0.0012\n",
"Epoch 51/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.0870 - lr: 0.0012\n",
"Epoch 52/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.2260 - lr: 0.0012\n",
"Epoch 53/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.3201 - lr: 0.0012\n",
"Epoch 54/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0034 - val_loss: 0.2205 - lr: 0.0012\n",
"Epoch 55/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0034 - val_loss: 0.2277 - lr: 0.0012\n",
"Epoch 56/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.0340 - lr: 0.0012\n",
"Epoch 57/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0034 - val_loss: 0.0148 - lr: 0.0012\n",
"Epoch 58/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0034 - val_loss: 0.1359 - lr: 0.0012\n",
"Epoch 59/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0034 - val_loss: 0.3196 - lr: 0.0012\n",
"Epoch 60/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0034 - val_loss: 0.1481 - lr: 0.0012\n",
"Epoch 61/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.2695 - lr: 0.0012\n",
"Epoch 62/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0035 - val_loss: 0.1954 - lr: 0.0012\n",
"Epoch 63/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.0340 - lr: 0.0012\n",
"Epoch 64/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 65/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.1202 - lr: 0.0012\n",
"Epoch 66/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0035 - val_loss: 0.0304 - lr: 0.0012\n",
"Epoch 67/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.0793 - lr: 0.0012\n",
"Epoch 68/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0035 - val_loss: 0.1576 - lr: 0.0012\n",
"Epoch 69/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.2251 - lr: 0.0012\n",
"Epoch 70/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.0411 - lr: 0.0012\n",
"Epoch 71/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.0188 - lr: 0.0012\n",
"Epoch 72/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0033 - val_loss: 0.2281 - lr: 0.0012\n",
"Epoch 73/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0034 - val_loss: 0.1713 - lr: 0.0012\n",
"Epoch 74/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.0222 - lr: 0.0012\n",
"Epoch 75/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.3127 - lr: 0.0012\n",
"Epoch 76/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0033 - val_loss: 0.0137 - lr: 0.0012\n",
"Epoch 77/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.1090 - lr: 0.0012\n",
"Epoch 78/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.0799 - lr: 0.0012\n",
"Epoch 79/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.1102 - lr: 0.0012\n",
"Epoch 80/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0035 - val_loss: 0.2145 - lr: 0.0012\n",
"Epoch 81/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.1553 - lr: 0.0012\n",
"Epoch 82/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0032 - val_loss: 0.1595 - lr: 0.0012\n",
"Epoch 83/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.1483 - lr: 0.0012\n",
"Epoch 84/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0032 - val_loss: 0.2261 - lr: 0.0012\n",
"Epoch 85/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.2011 - lr: 0.0012\n",
"Epoch 86/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0032 - val_loss: 0.2764 - lr: 0.0012\n",
"Epoch 87/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.2279 - lr: 0.0012\n",
"Epoch 88/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0032 - val_loss: 0.0361 - lr: 0.0012\n",
"Epoch 89/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.2057 - lr: 0.0012\n",
"Epoch 90/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.3079 - lr: 0.0012\n",
"Epoch 91/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 92/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.0898 - lr: 0.0012\n",
"Epoch 93/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0615 - lr: 0.0012\n",
"Epoch 94/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.2653 - lr: 0.0012\n",
"Epoch 95/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.0635 - lr: 0.0012\n",
"Epoch 96/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0032 - val_loss: 0.3185 - lr: 0.0012\n",
"Epoch 97/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.1530 - lr: 0.0012\n",
"Epoch 98/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.2868 - lr: 0.0012\n",
"Epoch 99/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0032 - val_loss: 0.2256 - lr: 0.0012\n",
"Epoch 100/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0031 - val_loss: 0.1929 - lr: 0.0012\n",
"Epoch 101/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0031 - val_loss: 0.3201 - lr: 0.0012\n",
"Epoch 102/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0030 - val_loss: 0.1670 - lr: 6.2500e-04\n",
"Epoch 103/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0031 - val_loss: 0.0959 - lr: 6.2500e-04\n",
"Epoch 104/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0031 - val_loss: 0.2233 - lr: 6.2500e-04\n",
"Epoch 105/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0030 - val_loss: 0.0878 - lr: 6.2500e-04\n",
"Epoch 106/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0030 - val_loss: 0.0340 - lr: 6.2500e-04\n",
"Epoch 107/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0206 - lr: 6.2500e-04\n",
"Epoch 108/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.2278 - lr: 6.2500e-04\n",
"Epoch 109/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.1677 - lr: 6.2500e-04\n",
"Epoch 110/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0371 - lr: 6.2500e-04\n",
"Epoch 111/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.2278 - lr: 6.2500e-04\n",
"Epoch 112/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0905 - lr: 6.2500e-04\n",
"Epoch 113/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0100 - lr: 6.2500e-04\n",
"Epoch 114/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.1231 - lr: 6.2500e-04\n",
"Epoch 115/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.2395 - lr: 6.2500e-04\n",
"Epoch 116/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0781 - lr: 6.2500e-04\n",
"Epoch 117/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0293 - lr: 6.2500e-04\n",
"Epoch 118/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0032 - val_loss: 0.0756 - lr: 6.2500e-04\n",
"Epoch 119/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0174 - lr: 6.2500e-04\n",
"Epoch 120/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.1331 - lr: 6.2500e-04\n",
"Epoch 121/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0700 - lr: 6.2500e-04\n",
"Epoch 122/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0368 - lr: 6.2500e-04\n",
"Epoch 123/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.1642 - lr: 6.2500e-04\n",
"Epoch 124/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0462 - lr: 6.2500e-04\n",
"Epoch 125/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.2501 - lr: 6.2500e-04\n",
"Epoch 126/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.1292 - lr: 6.2500e-04\n",
"Epoch 127/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.3043 - lr: 6.2500e-04\n",
"Epoch 128/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0137 - lr: 6.2500e-04\n",
"Epoch 129/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.1234 - lr: 6.2500e-04\n",
"Epoch 130/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.2189 - lr: 6.2500e-04\n",
"Epoch 131/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.1432 - lr: 6.2500e-04\n",
"Epoch 132/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.1098 - lr: 6.2500e-04\n",
"Epoch 133/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0336 - lr: 6.2500e-04\n",
"Epoch 134/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0404 - lr: 6.2500e-04\n",
"Epoch 135/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0392 - lr: 6.2500e-04\n",
"Epoch 136/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0341 - lr: 6.2500e-04\n",
"Epoch 137/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.1559 - lr: 6.2500e-04\n",
"Epoch 138/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0746 - lr: 6.2500e-04\n",
"Epoch 139/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.1492 - lr: 3.1250e-04\n",
"Epoch 140/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.1595 - lr: 3.1250e-04\n",
"Epoch 141/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0052 - lr: 3.1250e-04\n",
"Epoch 142/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0072 - lr: 3.1250e-04\n",
"Epoch 143/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0708 - lr: 3.1250e-04\n",
"Epoch 144/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.2029 - lr: 3.1250e-04\n",
"Epoch 145/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0623 - lr: 3.1250e-04\n",
"Epoch 146/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0137 - lr: 3.1250e-04\n",
"Epoch 147/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0334 - lr: 3.1250e-04\n",
"Epoch 148/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.1248 - lr: 3.1250e-04\n",
"Epoch 149/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0180 - lr: 3.1250e-04\n",
"Epoch 150/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0117 - lr: 3.1250e-04\n",
"Epoch 151/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.1500 - lr: 3.1250e-04\n",
"Epoch 152/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0389 - lr: 3.1250e-04\n",
"Epoch 153/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0253 - lr: 3.1250e-04\n",
"Epoch 154/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0846 - lr: 3.1250e-04\n",
"Epoch 155/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0921 - lr: 3.1250e-04\n",
"Epoch 156/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0594 - lr: 3.1250e-04\n",
"Epoch 157/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.1702 - lr: 3.1250e-04\n",
"Epoch 158/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0073 - lr: 3.1250e-04\n",
"Epoch 159/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0257 - lr: 3.1250e-04\n",
"Epoch 160/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.2634 - lr: 3.1250e-04\n",
"Epoch 161/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0272 - lr: 3.1250e-04\n",
"Epoch 162/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.1345 - lr: 3.1250e-04\n",
"Epoch 163/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0145 - lr: 3.1250e-04\n",
"Epoch 164/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0575 - lr: 3.1250e-04\n",
"Epoch 165/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.1492 - lr: 3.1250e-04\n",
"Epoch 166/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0387 - lr: 3.1250e-04\n",
"Epoch 167/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0803 - lr: 1.5625e-04\n",
"Epoch 168/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0309 - lr: 1.5625e-04\n",
"Epoch 169/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0120 - lr: 1.5625e-04\n",
"Epoch 170/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0299 - lr: 1.5625e-04\n",
"Epoch 171/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0102 - lr: 1.5625e-04\n",
"Epoch 172/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0165 - lr: 1.5625e-04\n",
"Epoch 173/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0084 - lr: 1.5625e-04\n",
"Epoch 174/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0277 - lr: 1.5625e-04\n",
"Epoch 175/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0165 - lr: 1.5625e-04\n",
"Epoch 176/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0238 - lr: 1.5625e-04\n",
"Epoch 177/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0301 - lr: 1.5625e-04\n",
"Epoch 178/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0422 - lr: 1.5625e-04\n",
"Epoch 179/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0281 - lr: 1.5625e-04\n",
"Epoch 180/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0159 - lr: 1.5625e-04\n",
"Epoch 181/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0057 - lr: 1.5625e-04\n",
"Epoch 182/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0265 - lr: 1.5625e-04\n",
"Epoch 183/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0078 - lr: 1.5625e-04\n",
"Epoch 184/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0079 - lr: 1.5625e-04\n",
"Epoch 185/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0075 - lr: 1.5625e-04\n",
"Epoch 186/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0385 - lr: 1.5625e-04\n",
"Epoch 187/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0791 - lr: 1.5625e-04\n",
"Epoch 188/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.1429 - lr: 1.5625e-04\n",
"Epoch 189/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0405 - lr: 1.5625e-04\n",
"Epoch 190/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0470 - lr: 1.5625e-04\n",
"Epoch 191/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0080 - lr: 1.5625e-04\n",
"Epoch 192/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0194 - lr: 7.8125e-05\n",
"Epoch 193/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0095 - lr: 7.8125e-05\n",
"Epoch 194/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0128 - lr: 7.8125e-05\n",
"Epoch 195/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0434 - lr: 7.8125e-05\n",
"Epoch 196/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0111 - lr: 7.8125e-05\n",
"Epoch 197/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0076 - lr: 7.8125e-05\n",
"Epoch 198/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0139 - lr: 7.8125e-05\n",
"Epoch 199/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0110 - lr: 7.8125e-05\n",
"Epoch 200/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0085 - lr: 7.8125e-05\n",
"Epoch 201/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0152 - lr: 7.8125e-05\n",
"Epoch 202/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0053 - lr: 7.8125e-05\n",
"Epoch 203/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0189 - lr: 7.8125e-05\n",
"Epoch 204/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0268 - lr: 7.8125e-05\n",
"Epoch 205/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0125 - lr: 7.8125e-05\n",
"Epoch 206/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0190 - lr: 7.8125e-05\n",
"Epoch 207/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0105 - lr: 7.8125e-05\n",
"Epoch 208/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0070 - lr: 7.8125e-05\n",
"Epoch 209/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0113 - lr: 7.8125e-05\n",
"Epoch 210/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0076 - lr: 7.8125e-05\n",
"Epoch 211/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0144 - lr: 7.8125e-05\n",
"Epoch 212/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0215 - lr: 7.8125e-05\n",
"Epoch 213/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.1120 - lr: 7.8125e-05\n",
"Epoch 214/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0049 - lr: 7.8125e-05\n",
"Epoch 215/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0039 - lr: 7.8125e-05\n",
"Epoch 216/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0091 - lr: 7.8125e-05\n",
"Epoch 217/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0095 - lr: 7.8125e-05\n",
"Epoch 218/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0129 - lr: 7.8125e-05\n",
"Epoch 219/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0131 - lr: 7.8125e-05\n",
"Epoch 220/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0392 - lr: 7.8125e-05\n",
"Epoch 221/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0503 - lr: 7.8125e-05\n",
"Epoch 222/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0152 - lr: 7.8125e-05\n",
"Epoch 223/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0065 - lr: 7.8125e-05\n",
"Epoch 224/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0037 - lr: 7.8125e-05\n",
"Epoch 225/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0065 - lr: 7.8125e-05\n",
"Epoch 226/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0125 - lr: 7.8125e-05\n",
"Epoch 227/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0113 - lr: 7.8125e-05\n",
"Epoch 228/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0057 - lr: 7.8125e-05\n",
"Epoch 229/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0037 - lr: 7.8125e-05\n",
"Epoch 230/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0059 - lr: 7.8125e-05\n",
"Epoch 231/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0041 - lr: 7.8125e-05\n",
"Epoch 232/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0140 - lr: 7.8125e-05\n",
"Epoch 233/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0042 - lr: 7.8125e-05\n",
"Epoch 234/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0147 - lr: 7.8125e-05\n",
"Epoch 235/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0051 - lr: 7.8125e-05\n",
"Epoch 236/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0121 - lr: 7.8125e-05\n",
"Epoch 237/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0180 - lr: 7.8125e-05\n",
"Epoch 238/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0079 - lr: 7.8125e-05\n",
"Epoch 239/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0075 - lr: 7.8125e-05\n",
"Epoch 240/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0706 - lr: 7.8125e-05\n",
"Epoch 241/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0275 - lr: 7.8125e-05\n",
"Epoch 242/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0263 - lr: 7.8125e-05\n",
"Epoch 243/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0338 - lr: 7.8125e-05\n",
"Epoch 244/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0275 - lr: 7.8125e-05\n",
"Epoch 245/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0087 - lr: 7.8125e-05\n",
"Epoch 246/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0300 - lr: 7.8125e-05\n",
"Epoch 247/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0170 - lr: 7.8125e-05\n",
"Epoch 248/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0133 - lr: 7.8125e-05\n",
"Epoch 249/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0235 - lr: 7.8125e-05\n",
"Epoch 250/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0089 - lr: 3.9062e-05\n",
"Epoch 251/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0138 - lr: 3.9062e-05\n",
"Epoch 252/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0514 - lr: 3.9062e-05\n",
"Epoch 253/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0054 - lr: 3.9062e-05\n",
"Epoch 254/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0138 - lr: 3.9062e-05\n",
"Epoch 255/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0044 - lr: 3.9062e-05\n",
"Epoch 256/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0084 - lr: 3.9062e-05\n",
"Epoch 257/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0137 - lr: 3.9062e-05\n",
"Epoch 258/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0033 - lr: 3.9062e-05\n",
"Epoch 259/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0114 - lr: 3.9062e-05\n",
"Epoch 260/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0045 - lr: 3.9062e-05\n",
"Epoch 261/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0273 - lr: 3.9062e-05\n",
"Epoch 262/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 3.9062e-05\n",
"Epoch 263/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0042 - lr: 3.9062e-05\n",
"Epoch 264/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0057 - lr: 3.9062e-05\n",
"Epoch 265/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0114 - lr: 3.9062e-05\n",
"Epoch 266/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0071 - lr: 3.9062e-05\n",
"Epoch 267/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0091 - lr: 3.9062e-05\n",
"Epoch 268/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0048 - lr: 3.9062e-05\n",
"Epoch 269/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0390 - lr: 3.9062e-05\n",
"Epoch 270/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0061 - lr: 3.9062e-05\n",
"Epoch 271/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0102 - lr: 3.9062e-05\n",
"Epoch 272/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0058 - lr: 3.9062e-05\n",
"Epoch 273/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0090 - lr: 3.9062e-05\n",
"Epoch 274/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0041 - lr: 3.9062e-05\n",
"Epoch 275/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0152 - lr: 3.9062e-05\n",
"Epoch 276/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0043 - lr: 3.9062e-05\n",
"Epoch 277/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0047 - lr: 3.9062e-05\n",
"Epoch 278/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0073 - lr: 3.9062e-05\n",
"Epoch 279/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0344 - lr: 3.9062e-05\n",
"Epoch 280/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0124 - lr: 3.9062e-05\n",
"Epoch 281/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0290 - lr: 3.9062e-05\n",
"Epoch 282/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0242 - lr: 3.9062e-05\n",
"Epoch 283/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0041 - lr: 3.9062e-05\n",
"Epoch 284/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0031 - lr: 3.9062e-05\n",
"Epoch 285/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0041 - lr: 3.9062e-05\n",
"Epoch 286/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0053 - lr: 3.9062e-05\n",
"Epoch 287/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0027 - lr: 3.9062e-05\n",
"Epoch 288/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0083 - lr: 3.9062e-05\n",
"Epoch 289/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0036 - lr: 3.9062e-05\n",
"Epoch 290/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0068 - lr: 3.9062e-05\n",
"Epoch 291/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0307 - lr: 3.9062e-05\n",
"Epoch 292/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0053 - lr: 3.9062e-05\n",
"Epoch 293/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0218 - lr: 3.9062e-05\n",
"Epoch 294/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0041 - lr: 3.9062e-05\n",
"Epoch 295/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0057 - lr: 3.9062e-05\n",
"Epoch 296/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0052 - lr: 3.9062e-05\n",
"Epoch 297/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 3.9062e-05\n",
"Epoch 298/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 3.9062e-05\n",
"Epoch 299/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0060 - lr: 3.9062e-05\n",
"Epoch 300/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0151 - lr: 3.9062e-05\n",
"Epoch 301/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0051 - lr: 3.9062e-05\n",
"Epoch 302/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0035 - lr: 3.9062e-05\n",
"Epoch 303/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0045 - lr: 3.9062e-05\n",
"Epoch 304/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0264 - lr: 3.9062e-05\n",
"Epoch 305/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0191 - lr: 3.9062e-05\n",
"Epoch 306/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0268 - lr: 3.9062e-05\n",
"Epoch 307/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0033 - lr: 3.9062e-05\n",
"Epoch 308/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0095 - lr: 3.9062e-05\n",
"Epoch 309/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0100 - lr: 3.9062e-05\n",
"Epoch 310/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0051 - lr: 3.9062e-05\n",
"Epoch 311/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0082 - lr: 3.9062e-05\n",
"Epoch 312/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0181 - lr: 3.9062e-05\n",
"Epoch 313/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0030 - lr: 3.9062e-05\n",
"Epoch 314/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0054 - lr: 3.9062e-05\n",
"Epoch 315/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0028 - lr: 3.9062e-05\n",
"Epoch 316/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0041 - lr: 3.9062e-05\n",
"Epoch 317/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0045 - lr: 3.9062e-05\n",
"Epoch 318/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0088 - lr: 3.9062e-05\n",
"Epoch 319/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0035 - lr: 3.9062e-05\n",
"Epoch 320/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0078 - lr: 3.9062e-05\n",
"Epoch 321/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0095 - lr: 3.9062e-05\n",
"Epoch 322/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0045 - lr: 3.9062e-05\n",
"Epoch 323/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0101 - lr: 3.9062e-05\n",
"Epoch 324/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0035 - lr: 1.9531e-05\n",
"Epoch 325/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0026 - lr: 1.9531e-05\n",
"Epoch 326/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 1.9531e-05\n",
"Epoch 327/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0096 - lr: 1.9531e-05\n",
"Epoch 328/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0030 - lr: 1.9531e-05\n",
"Epoch 329/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0041 - lr: 1.9531e-05\n",
"Epoch 330/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0078 - lr: 1.9531e-05\n",
"Epoch 331/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0082 - lr: 1.9531e-05\n",
"Epoch 332/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0033 - lr: 1.9531e-05\n",
"Epoch 333/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0035 - lr: 1.9531e-05\n",
"Epoch 334/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0030 - lr: 1.9531e-05\n",
"Epoch 335/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0035 - lr: 1.9531e-05\n",
"Epoch 336/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0034 - lr: 1.9531e-05\n",
"Epoch 337/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 1.9531e-05\n",
"Epoch 338/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 1.9531e-05\n",
"Epoch 339/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0035 - lr: 1.9531e-05\n",
"Epoch 340/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0037 - lr: 1.9531e-05\n",
"Epoch 341/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0030 - lr: 1.9531e-05\n",
"Epoch 342/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 1.9531e-05\n",
"Epoch 343/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0119 - lr: 1.9531e-05\n",
"Epoch 344/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0029 - lr: 1.9531e-05\n",
"Epoch 345/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0030 - lr: 1.9531e-05\n",
"Epoch 346/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0057 - lr: 1.9531e-05\n",
"Epoch 347/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0052 - lr: 1.9531e-05\n",
"Epoch 348/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0030 - lr: 1.9531e-05\n",
"Epoch 349/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 350/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 351/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.7656e-06\n",
"Epoch 352/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 353/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.7656e-06\n",
"Epoch 354/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.7656e-06\n",
"Epoch 355/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 356/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.7656e-06\n",
"Epoch 357/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0038 - lr: 9.7656e-06\n",
"Epoch 358/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0043 - lr: 9.7656e-06\n",
"Epoch 359/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 360/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 361/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 362/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0046 - lr: 9.7656e-06\n",
"Epoch 363/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 364/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0032 - lr: 9.7656e-06\n",
"Epoch 365/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 366/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0038 - lr: 9.7656e-06\n",
"Epoch 367/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0037 - lr: 9.7656e-06\n",
"Epoch 368/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0040 - lr: 9.7656e-06\n",
"Epoch 369/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0032 - lr: 9.7656e-06\n",
"Epoch 370/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 371/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0038 - lr: 9.7656e-06\n",
"Epoch 372/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 373/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.7656e-06\n",
"Epoch 374/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 375/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0034 - lr: 9.7656e-06\n",
"Epoch 376/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.7656e-06\n",
"Epoch 377/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0031 - lr: 9.7656e-06\n",
"Epoch 378/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.7656e-06\n",
"Epoch 379/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 380/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.7656e-06\n",
"Epoch 381/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 382/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 9.7656e-06\n",
"Epoch 383/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0037 - lr: 9.7656e-06\n",
"Epoch 384/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.7656e-06\n",
"Epoch 385/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 386/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0043 - lr: 9.7656e-06\n",
"Epoch 387/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 9.7656e-06\n",
"Epoch 388/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0036 - lr: 9.7656e-06\n",
"Epoch 389/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0034 - lr: 9.7656e-06\n",
"Epoch 390/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0041 - lr: 9.7656e-06\n",
"Epoch 391/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0030 - lr: 9.7656e-06\n",
"Epoch 392/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 393/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 394/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0030 - lr: 9.7656e-06\n",
"Epoch 395/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0032 - lr: 9.7656e-06\n",
"Epoch 396/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 397/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0041 - lr: 9.7656e-06\n",
"Epoch 398/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 399/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 400/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 401/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 402/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 403/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 404/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 405/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 406/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 407/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 408/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 409/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 410/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0030 - lr: 4.8828e-06\n",
"Epoch 411/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 412/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 413/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.8828e-06\n",
"Epoch 414/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 415/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 4.8828e-06\n",
"Epoch 416/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 417/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 418/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 419/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 420/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.8828e-06\n",
"Epoch 421/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 422/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 423/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 424/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 425/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 426/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 427/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 428/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 429/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 430/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 431/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 432/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 433/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 434/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 435/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 436/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 437/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 438/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 439/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 2.4414e-06\n",
"Epoch 440/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 2.4414e-06\n",
"Epoch 441/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 442/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 443/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 444/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 445/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 446/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 447/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 448/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 449/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 450/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 451/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 2.4414e-06\n",
"Epoch 452/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 453/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 454/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 455/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 456/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 457/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 458/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 459/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 460/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 461/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 462/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 463/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 464/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 465/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 466/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.4414e-06\n",
"Epoch 467/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 468/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 469/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 470/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 471/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 472/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 473/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 474/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 475/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 476/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 477/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 478/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 479/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 480/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 481/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 482/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 483/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 484/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 485/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 486/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 487/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 488/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 489/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 490/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 491/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.2207e-06\n",
"Epoch 492/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 493/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 494/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 495/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 496/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 497/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 498/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 499/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 500/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 501/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 502/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 503/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 504/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 505/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 506/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 507/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 508/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 509/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 510/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 511/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 512/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 513/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 514/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 515/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 516/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 6.1035e-07\n",
"Epoch 517/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 518/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 519/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 520/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 521/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 522/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 523/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 524/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 525/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 526/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 527/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 528/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 529/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 530/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 531/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 532/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 533/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 534/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 535/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 536/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 537/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 538/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 539/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 540/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 541/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.0518e-07\n",
"Epoch 542/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 543/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 544/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 545/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 546/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 547/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 548/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 549/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 550/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 551/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 552/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 553/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 554/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 555/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 556/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 557/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 558/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 559/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 560/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 561/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 562/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 563/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 564/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 565/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 566/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.5259e-07\n",
"Epoch 567/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 568/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 569/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 570/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 571/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 572/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 573/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 574/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 575/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 576/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 577/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 578/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 579/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 580/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 581/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 582/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 583/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 584/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 585/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 586/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 587/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 588/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 589/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 590/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 591/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.6294e-08\n",
"Epoch 592/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 593/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 594/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 595/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 596/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 597/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 598/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 599/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 600/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 601/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 602/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 603/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 604/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 605/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 606/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 607/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 608/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 609/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 610/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 611/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 612/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 613/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 614/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 615/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 616/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 3.8147e-08\n",
"Epoch 617/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 618/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 619/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 620/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 621/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 622/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 623/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 624/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 625/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 626/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 627/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 628/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 629/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 630/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 631/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 632/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 633/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 634/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 635/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 636/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 637/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 638/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 639/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 640/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 641/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.9073e-08\n",
"Epoch 642/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 643/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 644/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 645/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 646/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 647/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 648/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 649/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 650/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 651/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 652/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 653/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 654/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 655/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 656/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 657/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 658/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 659/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 660/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 661/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 662/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 663/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 664/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 665/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 666/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.5367e-09\n",
"Epoch 667/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 668/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 669/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 670/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 671/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 672/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 673/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 674/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 675/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 676/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 677/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 678/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 679/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 680/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 681/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 682/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 683/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 684/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 685/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 686/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 687/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 688/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 689/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 690/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 691/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.7684e-09\n",
"Epoch 692/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 693/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 694/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 695/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0025 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 696/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 697/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 698/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 699/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 700/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 701/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 702/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 703/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 704/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 705/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 706/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 707/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 708/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 709/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 710/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 711/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 712/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 713/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 714/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 715/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 716/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3842e-09\n",
"Epoch 717/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 718/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 719/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 720/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 721/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 722/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 723/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 724/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 725/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 726/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 727/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 728/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 729/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 730/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 731/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 732/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 733/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 734/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 735/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 736/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 737/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 738/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 739/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 740/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 741/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1921e-09\n",
"Epoch 742/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 743/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 744/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 745/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 746/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 747/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 748/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 749/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 750/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 751/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 752/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 753/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 754/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 755/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 756/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 757/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 758/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 759/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 760/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 761/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 762/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 763/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 764/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 765/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 766/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 5.9605e-10\n",
"Epoch 767/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 768/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 769/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 770/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 771/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 772/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 773/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 774/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 775/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 776/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 777/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 778/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 779/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 780/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 781/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 782/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 783/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 784/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 785/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 786/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 787/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 788/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 789/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 790/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 791/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.9802e-10\n",
"Epoch 792/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 793/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 794/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 795/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 796/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 797/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 798/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 799/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 800/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 801/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 802/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 803/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 804/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 805/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 806/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 807/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 808/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 809/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 810/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 811/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 812/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 813/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 814/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 815/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 816/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.4901e-10\n",
"Epoch 817/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 818/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 819/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 820/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 821/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 822/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 823/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 824/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 825/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0030 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 826/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 827/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 828/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 829/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 830/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 831/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 832/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 833/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 834/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 835/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 836/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 837/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 838/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 839/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 840/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 841/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 7.4506e-11\n",
"Epoch 842/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 843/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 844/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 845/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 846/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 847/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 848/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 849/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 850/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 851/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 852/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 853/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 854/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 855/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 856/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 857/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 858/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 859/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 860/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 861/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 862/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 863/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 864/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 865/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 866/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 3.7253e-11\n",
"Epoch 867/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 868/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 869/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 870/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 871/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 872/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 873/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 874/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 875/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 876/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 877/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 878/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 879/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 880/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 881/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 882/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 883/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 884/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 885/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 886/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 887/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 888/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 889/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 890/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 891/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.8626e-11\n",
"Epoch 892/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 893/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 894/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 895/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 896/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 897/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 898/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 899/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 900/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 901/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 902/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 903/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 904/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 905/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 906/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 907/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 908/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 909/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 910/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 911/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 912/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 913/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 914/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 915/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 916/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 9.3132e-12\n",
"Epoch 917/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 918/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 919/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 920/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 921/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 922/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 923/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 924/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 925/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 926/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 927/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 928/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 929/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 930/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 931/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 932/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 933/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 934/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 935/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 936/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 937/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 938/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 939/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 940/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 941/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 4.6566e-12\n",
"Epoch 942/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 943/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 944/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 945/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 946/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 947/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 948/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 949/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 950/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 951/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 952/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 953/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 954/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 955/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 956/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 957/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 958/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 959/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 960/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 961/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 962/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 963/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 964/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 965/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 966/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.3283e-12\n",
"Epoch 967/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 968/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 969/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 970/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 971/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 972/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 973/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 974/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 975/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 976/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 977/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 978/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 979/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 980/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 981/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 982/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 983/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 984/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 985/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 986/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 987/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 988/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 989/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 990/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 991/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 1.1642e-12\n",
"Epoch 992/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 993/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 994/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 995/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 996/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 997/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 998/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 999/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1000/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1001/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1002/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1003/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1004/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1005/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1006/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1007/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1008/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1009/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1010/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1011/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1012/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1013/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1014/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1015/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1016/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 5.8208e-13\n",
"Epoch 1017/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9104e-13\n",
"Epoch 1018/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.9104e-13\n",
"Epoch 1019/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9104e-13\n",
"Epoch 1020/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 2.9104e-13\n",
"Epoch 1021/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9104e-13\n",
"Epoch 1022/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0024 - lr: 2.9104e-13\n",
"Epoch 1023/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0024 - lr: 2.9104e-13\n",
"Epoch 1024/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0024 - lr: 2.9104e-13\n"
]
}
],
"source": [
"epoch, batch_size = 1024, 64\n",
"history_plain_11 = plain_11.fit(x_train, y_train, x_val, y_val, epoch=epoch, batch_size=batch_size,\n",
" method=training_method)\n",
"history_plain_5 = plain_5.fit(x_train, y_train, x_val, y_val, epoch=epoch, batch_size=batch_size,\n",
" method=training_method)"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Save the result to history.p"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"# import pickle\n",
"# with open('history.p', 'wb') as f:\n",
"# pickle.dump({'history_11': history_plain_11, 'history_5':history_plain_5}, f)"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"## Post analysis and drawing"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"# with open(\"history.p\", 'rb') as f:\n",
"# data = pickle.load(f)\n",
"# history_plain_11, history_plain_5 = data['history_11'], data['history_5']"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"smoothing_windows = 16\n",
"def moving_average(x, w):\n",
" return np.convolve(x, np.ones(w), 'valid') / w"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"text/plain": "<Figure size 432x288 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"fig, ax = plt.subplots()\n",
"x = np.array(range(len(history_plain_11.history['loss']) - smoothing_windows + 1))\n",
"ax.plot(x, 100*moving_average(history_plain_11.history[\"val_loss\"], smoothing_windows), linewidth=3.0, label='plain11', c='b')\n",
"ax.plot(x, 100*moving_average(history_plain_11.history[\"loss\"], smoothing_windows), linewidth=.5, c='b')\n",
"x = np.array(range(len(history_plain_5.history['loss']) - smoothing_windows + 1))\n",
"ax.plot(x, 100*moving_average(history_plain_5.history[\"val_loss\"], smoothing_windows), linewidth=3.0, label='plain5', c='r')\n",
"ax.plot(x, 100*moving_average(history_plain_5.history[\"loss\"], smoothing_windows), linewidth=.5, c='r')\n",
"ax.set_xlabel(\"iter\")\n",
"ax.set_ylabel(\"error(%)\")\n",
"ax.set_xlim(0, min(len(history_plain_5.history['loss']), len(history_plain_11.history['loss']) - smoothing_windows + 1))\n",
"ax.set_ylim(0.23, 0.35)\n",
"ax.spines[\"top\"].set_visible(False)\n",
"ax.spines[\"right\"].set_visible(False)\n",
"ax.yaxis.set_major_locator(ticker.LinearLocator(numticks=6))\n",
"ax.grid(axis='y', linestyle='--')\n",
"ax.annotate(\"11-layer\", (540, 0.257), c='b')\n",
"ax.annotate(\"5-layer\", (540, 0.245), c='r')\n",
"plt.legend(loc=3)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"# plt.savefig(fname=\"fig1.png\", dpi=300)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"seed(1050)\n",
"tensorflow.random.set_seed(1050)\n",
"shortcut5, shortcut11 = ShortCut5(input_shape=(1, 102)), ShortCut11(input_shape=(1, 102))"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/1024\n",
"90/90 [==============================] - 4s 9ms/step - loss: 0.0220 - val_loss: 0.0266 - lr: 0.0025\n",
"Epoch 2/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0122 - val_loss: 0.0415 - lr: 0.0025\n",
"Epoch 3/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0085 - val_loss: 0.0424 - lr: 0.0025\n",
"Epoch 4/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0064 - val_loss: 0.0516 - lr: 0.0025\n",
"Epoch 5/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0059 - val_loss: 0.1353 - lr: 0.0025\n",
"Epoch 6/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0054 - val_loss: 0.0277 - lr: 0.0025\n",
"Epoch 7/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0051 - val_loss: 0.0655 - lr: 0.0025\n",
"Epoch 8/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0051 - val_loss: 0.2283 - lr: 0.0025\n",
"Epoch 9/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0047 - val_loss: 0.1627 - lr: 0.0025\n",
"Epoch 10/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0047 - val_loss: 0.1668 - lr: 0.0025\n",
"Epoch 11/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0047 - val_loss: 0.2283 - lr: 0.0025\n",
"Epoch 12/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0045 - val_loss: 0.2283 - lr: 0.0025\n",
"Epoch 13/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0045 - val_loss: 0.2283 - lr: 0.0025\n",
"Epoch 14/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0045 - val_loss: 0.1292 - lr: 0.0025\n",
"Epoch 15/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0043 - val_loss: 0.3238 - lr: 0.0025\n",
"Epoch 16/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0044 - val_loss: 0.2283 - lr: 0.0025\n",
"Epoch 17/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0043 - val_loss: 0.2283 - lr: 0.0025\n",
"Epoch 18/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0042 - val_loss: 0.2105 - lr: 0.0025\n",
"Epoch 19/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0046 - val_loss: 0.2249 - lr: 0.0025\n",
"Epoch 20/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0043 - val_loss: 0.2283 - lr: 0.0025\n",
"Epoch 21/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0040 - val_loss: 0.0335 - lr: 0.0025\n",
"Epoch 22/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0042 - val_loss: 0.2283 - lr: 0.0025\n",
"Epoch 23/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0040 - val_loss: 0.0580 - lr: 0.0025\n",
"Epoch 24/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0041 - val_loss: 0.0845 - lr: 0.0025\n",
"Epoch 25/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0042 - val_loss: 0.0505 - lr: 0.0025\n",
"Epoch 26/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0041 - val_loss: 0.3296 - lr: 0.0025\n",
"Epoch 27/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0037 - val_loss: 0.3286 - lr: 0.0012\n",
"Epoch 28/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0035 - val_loss: 0.1891 - lr: 0.0012\n",
"Epoch 29/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0035 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 30/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0036 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 31/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0036 - val_loss: 0.0182 - lr: 0.0012\n",
"Epoch 32/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0035 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 33/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0035 - val_loss: 0.2274 - lr: 0.0012\n",
"Epoch 34/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0035 - val_loss: 0.1961 - lr: 0.0012\n",
"Epoch 35/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0037 - val_loss: 0.0868 - lr: 0.0012\n",
"Epoch 36/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0035 - val_loss: 0.3228 - lr: 0.0012\n",
"Epoch 37/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0035 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 38/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0035 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 39/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0035 - val_loss: 0.3038 - lr: 0.0012\n",
"Epoch 40/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0035 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 41/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0035 - val_loss: 0.1031 - lr: 0.0012\n",
"Epoch 42/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0036 - val_loss: 0.1031 - lr: 0.0012\n",
"Epoch 43/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0034 - val_loss: 0.0965 - lr: 0.0012\n",
"Epoch 44/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0035 - val_loss: 0.3268 - lr: 0.0012\n",
"Epoch 45/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0034 - val_loss: 0.2282 - lr: 0.0012\n",
"Epoch 46/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0035 - val_loss: 0.2218 - lr: 0.0012\n",
"Epoch 47/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0035 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 48/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0033 - val_loss: 0.2989 - lr: 0.0012\n",
"Epoch 49/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0035 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 50/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0033 - val_loss: 0.0823 - lr: 0.0012\n",
"Epoch 51/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0034 - val_loss: 0.2768 - lr: 0.0012\n",
"Epoch 52/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0034 - val_loss: 0.2898 - lr: 0.0012\n",
"Epoch 53/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0035 - val_loss: 0.0154 - lr: 0.0012\n",
"Epoch 54/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0034 - val_loss: 0.0611 - lr: 0.0012\n",
"Epoch 55/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0034 - val_loss: 0.2149 - lr: 0.0012\n",
"Epoch 56/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0034 - val_loss: 0.2043 - lr: 0.0012\n",
"Epoch 57/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0033 - val_loss: 0.2824 - lr: 0.0012\n",
"Epoch 58/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0034 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 59/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0033 - val_loss: 0.3278 - lr: 0.0012\n",
"Epoch 60/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0034 - val_loss: 0.1235 - lr: 0.0012\n",
"Epoch 61/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0034 - val_loss: 0.2268 - lr: 0.0012\n",
"Epoch 62/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0034 - val_loss: 0.2185 - lr: 0.0012\n",
"Epoch 63/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0035 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 64/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0034 - val_loss: 0.1739 - lr: 0.0012\n",
"Epoch 65/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0033 - val_loss: 0.2282 - lr: 0.0012\n",
"Epoch 66/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0033 - val_loss: 0.2624 - lr: 0.0012\n",
"Epoch 67/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0034 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 68/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0033 - val_loss: 0.2241 - lr: 0.0012\n",
"Epoch 69/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0034 - val_loss: 0.0952 - lr: 0.0012\n",
"Epoch 70/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0033 - val_loss: 0.0488 - lr: 0.0012\n",
"Epoch 71/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0034 - val_loss: 0.0588 - lr: 0.0012\n",
"Epoch 72/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0033 - val_loss: 0.2675 - lr: 0.0012\n",
"Epoch 73/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0034 - val_loss: 0.2257 - lr: 0.0012\n",
"Epoch 74/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0032 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 75/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0033 - val_loss: 0.0096 - lr: 0.0012\n",
"Epoch 76/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0033 - val_loss: 0.0578 - lr: 0.0012\n",
"Epoch 77/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0033 - val_loss: 0.1798 - lr: 0.0012\n",
"Epoch 78/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0033 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 79/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0033 - val_loss: 0.2710 - lr: 0.0012\n",
"Epoch 80/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0033 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 81/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0034 - val_loss: 0.1669 - lr: 0.0012\n",
"Epoch 82/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0034 - val_loss: 0.0283 - lr: 0.0012\n",
"Epoch 83/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0034 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 84/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0033 - val_loss: 0.1754 - lr: 0.0012\n",
"Epoch 85/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0033 - val_loss: 0.2024 - lr: 0.0012\n",
"Epoch 86/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0032 - val_loss: 0.0851 - lr: 0.0012\n",
"Epoch 87/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0033 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 88/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0032 - val_loss: 0.0786 - lr: 0.0012\n",
"Epoch 89/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0033 - val_loss: 0.0325 - lr: 0.0012\n",
"Epoch 90/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0033 - val_loss: 0.0179 - lr: 0.0012\n",
"Epoch 91/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0032 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 92/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0032 - val_loss: 0.0263 - lr: 0.0012\n",
"Epoch 93/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0032 - val_loss: 0.0507 - lr: 0.0012\n",
"Epoch 94/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0032 - val_loss: 0.0495 - lr: 0.0012\n",
"Epoch 95/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0032 - val_loss: 0.0259 - lr: 0.0012\n",
"Epoch 96/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0033 - val_loss: 0.0224 - lr: 0.0012\n",
"Epoch 97/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0032 - val_loss: 0.2280 - lr: 0.0012\n",
"Epoch 98/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0033 - val_loss: 0.2170 - lr: 0.0012\n",
"Epoch 99/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0032 - val_loss: 0.3292 - lr: 0.0012\n",
"Epoch 100/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0033 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 101/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0114 - lr: 6.2500e-04\n",
"Epoch 102/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.2279 - lr: 6.2500e-04\n",
"Epoch 103/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.1714 - lr: 6.2500e-04\n",
"Epoch 104/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0236 - lr: 6.2500e-04\n",
"Epoch 105/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.2265 - lr: 6.2500e-04\n",
"Epoch 106/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.0664 - lr: 6.2500e-04\n",
"Epoch 107/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0146 - lr: 6.2500e-04\n",
"Epoch 108/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.2790 - lr: 6.2500e-04\n",
"Epoch 109/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0771 - lr: 6.2500e-04\n",
"Epoch 110/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0295 - lr: 6.2500e-04\n",
"Epoch 111/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.2281 - lr: 6.2500e-04\n",
"Epoch 112/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.1566 - lr: 6.2500e-04\n",
"Epoch 113/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.2018 - lr: 6.2500e-04\n",
"Epoch 114/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.1543 - lr: 6.2500e-04\n",
"Epoch 115/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0238 - lr: 6.2500e-04\n",
"Epoch 116/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0641 - lr: 6.2500e-04\n",
"Epoch 117/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.2217 - lr: 6.2500e-04\n",
"Epoch 118/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0426 - lr: 6.2500e-04\n",
"Epoch 119/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.1958 - lr: 6.2500e-04\n",
"Epoch 120/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0130 - lr: 6.2500e-04\n",
"Epoch 121/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0627 - lr: 6.2500e-04\n",
"Epoch 122/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.1422 - lr: 6.2500e-04\n",
"Epoch 123/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0899 - lr: 6.2500e-04\n",
"Epoch 124/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.1184 - lr: 6.2500e-04\n",
"Epoch 125/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.2219 - lr: 6.2500e-04\n",
"Epoch 126/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0326 - lr: 3.1250e-04\n",
"Epoch 127/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0521 - lr: 3.1250e-04\n",
"Epoch 128/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0668 - lr: 3.1250e-04\n",
"Epoch 129/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0697 - lr: 3.1250e-04\n",
"Epoch 130/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0170 - lr: 3.1250e-04\n",
"Epoch 131/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0031 - val_loss: 0.2118 - lr: 3.1250e-04\n",
"Epoch 132/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.2023 - lr: 3.1250e-04\n",
"Epoch 133/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.1427 - lr: 3.1250e-04\n",
"Epoch 134/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.1870 - lr: 3.1250e-04\n",
"Epoch 135/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.1250 - lr: 3.1250e-04\n",
"Epoch 136/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.2118 - lr: 3.1250e-04\n",
"Epoch 137/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0104 - lr: 3.1250e-04\n",
"Epoch 138/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0109 - lr: 3.1250e-04\n",
"Epoch 139/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.2249 - lr: 3.1250e-04\n",
"Epoch 140/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0979 - lr: 3.1250e-04\n",
"Epoch 141/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.1037 - lr: 3.1250e-04\n",
"Epoch 142/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.1814 - lr: 3.1250e-04\n",
"Epoch 143/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0104 - lr: 3.1250e-04\n",
"Epoch 144/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0455 - lr: 3.1250e-04\n",
"Epoch 145/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0199 - lr: 3.1250e-04\n",
"Epoch 146/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0155 - lr: 3.1250e-04\n",
"Epoch 147/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0875 - lr: 3.1250e-04\n",
"Epoch 148/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0800 - lr: 3.1250e-04\n",
"Epoch 149/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.2277 - lr: 3.1250e-04\n",
"Epoch 150/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0358 - lr: 3.1250e-04\n",
"Epoch 151/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0806 - lr: 1.5625e-04\n",
"Epoch 152/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.1431 - lr: 1.5625e-04\n",
"Epoch 153/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.1437 - lr: 1.5625e-04\n",
"Epoch 154/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.1395 - lr: 1.5625e-04\n",
"Epoch 155/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0086 - lr: 1.5625e-04\n",
"Epoch 156/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0947 - lr: 1.5625e-04\n",
"Epoch 157/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0896 - lr: 1.5625e-04\n",
"Epoch 158/1024\n",
"90/90 [==============================] - 0s 6ms/step - loss: 0.0029 - val_loss: 0.0369 - lr: 1.5625e-04\n",
"Epoch 159/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0456 - lr: 1.5625e-04\n",
"Epoch 160/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0103 - lr: 1.5625e-04\n",
"Epoch 161/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0525 - lr: 1.5625e-04\n",
"Epoch 162/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.1905 - lr: 1.5625e-04\n",
"Epoch 163/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0225 - lr: 1.5625e-04\n",
"Epoch 164/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0499 - lr: 1.5625e-04\n",
"Epoch 165/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.1601 - lr: 1.5625e-04\n",
"Epoch 166/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0705 - lr: 1.5625e-04\n",
"Epoch 167/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0115 - lr: 1.5625e-04\n",
"Epoch 168/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.1070 - lr: 1.5625e-04\n",
"Epoch 169/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0088 - lr: 1.5625e-04\n",
"Epoch 170/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0599 - lr: 1.5625e-04\n",
"Epoch 171/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.1704 - lr: 1.5625e-04\n",
"Epoch 172/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0151 - lr: 1.5625e-04\n",
"Epoch 173/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0699 - lr: 1.5625e-04\n",
"Epoch 174/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0718 - lr: 1.5625e-04\n",
"Epoch 175/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0457 - lr: 1.5625e-04\n",
"Epoch 176/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0321 - lr: 1.5625e-04\n",
"Epoch 177/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.1954 - lr: 1.5625e-04\n",
"Epoch 178/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0988 - lr: 1.5625e-04\n",
"Epoch 179/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0555 - lr: 1.5625e-04\n",
"Epoch 180/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0240 - lr: 1.5625e-04\n",
"Epoch 181/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0794 - lr: 7.8125e-05\n",
"Epoch 182/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0322 - lr: 7.8125e-05\n",
"Epoch 183/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0242 - lr: 7.8125e-05\n",
"Epoch 184/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0328 - lr: 7.8125e-05\n",
"Epoch 185/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0452 - lr: 7.8125e-05\n",
"Epoch 186/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0079 - lr: 7.8125e-05\n",
"Epoch 187/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0153 - lr: 7.8125e-05\n",
"Epoch 188/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0407 - lr: 7.8125e-05\n",
"Epoch 189/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0376 - lr: 7.8125e-05\n",
"Epoch 190/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0102 - lr: 7.8125e-05\n",
"Epoch 191/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0323 - lr: 7.8125e-05\n",
"Epoch 192/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0276 - lr: 7.8125e-05\n",
"Epoch 193/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0072 - lr: 7.8125e-05\n",
"Epoch 194/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0529 - lr: 7.8125e-05\n",
"Epoch 195/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0082 - lr: 7.8125e-05\n",
"Epoch 196/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0119 - lr: 7.8125e-05\n",
"Epoch 197/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0166 - lr: 7.8125e-05\n",
"Epoch 198/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0682 - lr: 7.8125e-05\n",
"Epoch 199/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0137 - lr: 7.8125e-05\n",
"Epoch 200/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0077 - lr: 7.8125e-05\n",
"Epoch 201/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0144 - lr: 7.8125e-05\n",
"Epoch 202/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0581 - lr: 7.8125e-05\n",
"Epoch 203/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0119 - lr: 7.8125e-05\n",
"Epoch 204/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0249 - lr: 7.8125e-05\n",
"Epoch 205/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0087 - lr: 7.8125e-05\n",
"Epoch 206/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0126 - lr: 7.8125e-05\n",
"Epoch 207/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0122 - lr: 7.8125e-05\n",
"Epoch 208/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0791 - lr: 7.8125e-05\n",
"Epoch 209/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0397 - lr: 7.8125e-05\n",
"Epoch 210/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0831 - lr: 7.8125e-05\n",
"Epoch 211/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0736 - lr: 7.8125e-05\n",
"Epoch 212/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0428 - lr: 7.8125e-05\n",
"Epoch 213/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0077 - lr: 7.8125e-05\n",
"Epoch 214/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.1123 - lr: 7.8125e-05\n",
"Epoch 215/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0065 - lr: 7.8125e-05\n",
"Epoch 216/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0168 - lr: 7.8125e-05\n",
"Epoch 217/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0437 - lr: 7.8125e-05\n",
"Epoch 218/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0087 - lr: 7.8125e-05\n",
"Epoch 219/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0072 - lr: 7.8125e-05\n",
"Epoch 220/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0070 - lr: 7.8125e-05\n",
"Epoch 221/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0032 - lr: 7.8125e-05\n",
"Epoch 222/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0216 - lr: 7.8125e-05\n",
"Epoch 223/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0290 - lr: 7.8125e-05\n",
"Epoch 224/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0245 - lr: 7.8125e-05\n",
"Epoch 225/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0479 - lr: 7.8125e-05\n",
"Epoch 226/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.1105 - lr: 7.8125e-05\n",
"Epoch 227/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0056 - lr: 7.8125e-05\n",
"Epoch 228/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0088 - lr: 7.8125e-05\n",
"Epoch 229/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0070 - lr: 7.8125e-05\n",
"Epoch 230/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0091 - lr: 7.8125e-05\n",
"Epoch 231/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0242 - lr: 7.8125e-05\n",
"Epoch 232/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0062 - lr: 7.8125e-05\n",
"Epoch 233/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0433 - lr: 7.8125e-05\n",
"Epoch 234/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0807 - lr: 7.8125e-05\n",
"Epoch 235/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0177 - lr: 7.8125e-05\n",
"Epoch 236/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0063 - lr: 7.8125e-05\n",
"Epoch 237/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0230 - lr: 7.8125e-05\n",
"Epoch 238/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0808 - lr: 7.8125e-05\n",
"Epoch 239/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0511 - lr: 7.8125e-05\n",
"Epoch 240/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0167 - lr: 7.8125e-05\n",
"Epoch 241/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0099 - lr: 7.8125e-05\n",
"Epoch 242/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0216 - lr: 7.8125e-05\n",
"Epoch 243/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.1013 - lr: 7.8125e-05\n",
"Epoch 244/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0058 - lr: 7.8125e-05\n",
"Epoch 245/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0088 - lr: 7.8125e-05\n",
"Epoch 246/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0068 - lr: 7.8125e-05\n",
"Epoch 247/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0106 - lr: 3.9062e-05\n",
"Epoch 248/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0330 - lr: 3.9062e-05\n",
"Epoch 249/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0045 - lr: 3.9062e-05\n",
"Epoch 250/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0048 - lr: 3.9062e-05\n",
"Epoch 251/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0083 - lr: 3.9062e-05\n",
"Epoch 252/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0279 - lr: 3.9062e-05\n",
"Epoch 253/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0042 - lr: 3.9062e-05\n",
"Epoch 254/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0036 - lr: 3.9062e-05\n",
"Epoch 255/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0138 - lr: 3.9062e-05\n",
"Epoch 256/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0035 - lr: 3.9062e-05\n",
"Epoch 257/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0168 - lr: 3.9062e-05\n",
"Epoch 258/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0027 - val_loss: 0.0049 - lr: 3.9062e-05\n",
"Epoch 259/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0041 - lr: 3.9062e-05\n",
"Epoch 260/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0062 - lr: 3.9062e-05\n",
"Epoch 261/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0213 - lr: 3.9062e-05\n",
"Epoch 262/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0273 - lr: 3.9062e-05\n",
"Epoch 263/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0244 - lr: 3.9062e-05\n",
"Epoch 264/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0160 - lr: 3.9062e-05\n",
"Epoch 265/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0029 - val_loss: 0.0085 - lr: 3.9062e-05\n",
"Epoch 266/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0075 - lr: 3.9062e-05\n",
"Epoch 267/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0136 - lr: 3.9062e-05\n",
"Epoch 268/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0037 - lr: 3.9062e-05\n",
"Epoch 269/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0153 - lr: 3.9062e-05\n",
"Epoch 270/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0093 - lr: 3.9062e-05\n",
"Epoch 271/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0244 - lr: 3.9062e-05\n",
"Epoch 272/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0039 - lr: 1.9531e-05\n",
"Epoch 273/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0027 - val_loss: 0.0029 - lr: 1.9531e-05\n",
"Epoch 274/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0038 - lr: 1.9531e-05\n",
"Epoch 275/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0124 - lr: 1.9531e-05\n",
"Epoch 276/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0222 - lr: 1.9531e-05\n",
"Epoch 277/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0034 - lr: 1.9531e-05\n",
"Epoch 278/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0038 - lr: 1.9531e-05\n",
"Epoch 279/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0043 - lr: 1.9531e-05\n",
"Epoch 280/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0033 - lr: 1.9531e-05\n",
"Epoch 281/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0127 - lr: 1.9531e-05\n",
"Epoch 282/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0037 - lr: 1.9531e-05\n",
"Epoch 283/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0026 - val_loss: 0.0037 - lr: 1.9531e-05\n",
"Epoch 284/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0050 - lr: 1.9531e-05\n",
"Epoch 285/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0026 - val_loss: 0.0105 - lr: 1.9531e-05\n",
"Epoch 286/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0078 - lr: 1.9531e-05\n",
"Epoch 287/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0031 - lr: 1.9531e-05\n",
"Epoch 288/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0034 - lr: 1.9531e-05\n",
"Epoch 289/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0042 - lr: 1.9531e-05\n",
"Epoch 290/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0035 - lr: 1.9531e-05\n",
"Epoch 291/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0033 - lr: 1.9531e-05\n",
"Epoch 292/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0071 - lr: 1.9531e-05\n",
"Epoch 293/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0037 - lr: 1.9531e-05\n",
"Epoch 294/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0030 - lr: 1.9531e-05\n",
"Epoch 295/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0051 - lr: 1.9531e-05\n",
"Epoch 296/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0033 - lr: 1.9531e-05\n",
"Epoch 297/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 1.9531e-05\n",
"Epoch 298/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0041 - lr: 1.9531e-05\n",
"Epoch 299/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0042 - lr: 9.7656e-06\n",
"Epoch 300/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0034 - lr: 9.7656e-06\n",
"Epoch 301/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 302/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0051 - lr: 9.7656e-06\n",
"Epoch 303/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 304/1024\n",
"90/90 [==============================] - 1s 7ms/step - loss: 0.0029 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 305/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0027 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 306/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0027 - val_loss: 0.0044 - lr: 9.7656e-06\n",
"Epoch 307/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 308/1024\n",
"90/90 [==============================] - 1s 7ms/step - loss: 0.0029 - val_loss: 0.0042 - lr: 9.7656e-06\n",
"Epoch 309/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 310/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 311/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 312/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 313/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 314/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0033 - lr: 9.7656e-06\n",
"Epoch 315/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0032 - lr: 9.7656e-06\n",
"Epoch 316/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 9.7656e-06\n",
"Epoch 317/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 318/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 319/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 320/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 321/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 322/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 323/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 324/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0041 - lr: 9.7656e-06\n",
"Epoch 325/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0035 - lr: 9.7656e-06\n",
"Epoch 326/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 327/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0033 - lr: 9.7656e-06\n",
"Epoch 328/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0038 - lr: 9.7656e-06\n",
"Epoch 329/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 330/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0038 - lr: 9.7656e-06\n",
"Epoch 331/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0041 - lr: 9.7656e-06\n",
"Epoch 332/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0068 - lr: 9.7656e-06\n",
"Epoch 333/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 334/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0042 - lr: 9.7656e-06\n",
"Epoch 335/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 336/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 337/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0027 - lr: 9.7656e-06\n",
"Epoch 338/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 339/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 340/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 341/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.7656e-06\n",
"Epoch 342/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0033 - lr: 9.7656e-06\n",
"Epoch 343/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0030 - lr: 9.7656e-06\n",
"Epoch 344/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 345/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 346/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 347/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0036 - lr: 9.7656e-06\n",
"Epoch 348/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.7656e-06\n",
"Epoch 349/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 350/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 351/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 352/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 353/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0032 - lr: 9.7656e-06\n",
"Epoch 354/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.7656e-06\n",
"Epoch 355/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0027 - lr: 9.7656e-06\n",
"Epoch 356/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0041 - lr: 9.7656e-06\n",
"Epoch 357/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0034 - lr: 9.7656e-06\n",
"Epoch 358/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 359/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0027 - lr: 9.7656e-06\n",
"Epoch 360/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0042 - lr: 9.7656e-06\n",
"Epoch 361/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 362/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0039 - lr: 9.7656e-06\n",
"Epoch 363/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0035 - lr: 9.7656e-06\n",
"Epoch 364/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 365/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 366/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0026 - val_loss: 0.0048 - lr: 9.7656e-06\n",
"Epoch 367/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0029 - lr: 4.8828e-06\n",
"Epoch 368/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0029 - lr: 4.8828e-06\n",
"Epoch 369/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0029 - lr: 4.8828e-06\n",
"Epoch 370/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0028 - lr: 4.8828e-06\n",
"Epoch 371/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 372/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 373/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0034 - lr: 4.8828e-06\n",
"Epoch 374/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0028 - lr: 4.8828e-06\n",
"Epoch 375/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 376/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 377/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 378/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 379/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 380/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 381/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 382/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 383/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 384/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 4.8828e-06\n",
"Epoch 385/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 386/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0033 - lr: 4.8828e-06\n",
"Epoch 387/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 388/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 389/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 390/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 391/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 392/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 4.8828e-06\n",
"Epoch 393/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0028 - lr: 4.8828e-06\n",
"Epoch 394/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 395/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 396/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0030 - lr: 4.8828e-06\n",
"Epoch 397/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 398/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 399/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 400/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 401/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0028 - lr: 4.8828e-06\n",
"Epoch 402/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 403/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 404/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 405/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 406/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 407/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 408/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0030 - lr: 4.8828e-06\n",
"Epoch 409/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 410/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0036 - lr: 4.8828e-06\n",
"Epoch 411/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0031 - lr: 4.8828e-06\n",
"Epoch 412/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 413/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0032 - lr: 4.8828e-06\n",
"Epoch 414/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 415/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 416/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 417/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 418/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 419/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 420/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0030 - lr: 4.8828e-06\n",
"Epoch 421/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 422/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 423/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 424/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 425/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 426/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 4.8828e-06\n",
"Epoch 427/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 4.8828e-06\n",
"Epoch 428/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 4.8828e-06\n",
"Epoch 429/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 430/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 431/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 432/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 433/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 434/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0029 - lr: 4.8828e-06\n",
"Epoch 435/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 436/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 437/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 438/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 439/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 440/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0036 - lr: 4.8828e-06\n",
"Epoch 441/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0028 - lr: 4.8828e-06\n",
"Epoch 442/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 443/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0028 - lr: 4.8828e-06\n",
"Epoch 444/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 445/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 446/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 447/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0028 - lr: 2.4414e-06\n",
"Epoch 448/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0029 - lr: 2.4414e-06\n",
"Epoch 449/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 450/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 451/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 452/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 453/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 454/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 455/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 456/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 457/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 458/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 459/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 460/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 461/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0027 - lr: 2.4414e-06\n",
"Epoch 462/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 463/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 464/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 465/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 466/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 467/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 468/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 469/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 470/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 471/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 472/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 473/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 474/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 475/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 476/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 477/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 478/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 479/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 480/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 481/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 482/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 483/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 484/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 485/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 486/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 487/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 488/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 489/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 490/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 491/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 492/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 493/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 494/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 495/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 496/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 497/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 498/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 499/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 500/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 501/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 502/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 1.2207e-06\n",
"Epoch 503/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 504/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 505/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 506/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 507/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 508/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 509/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 510/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 511/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 512/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 513/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 514/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 515/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 516/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 517/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 518/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 519/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 520/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 521/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 522/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 523/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 524/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 525/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 526/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 527/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 528/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 529/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 530/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 531/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 532/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 533/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 534/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 535/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 536/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 537/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 538/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 539/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 540/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 541/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 542/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 543/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 544/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 545/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 546/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 547/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 548/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 549/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 550/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 551/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 552/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 553/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 554/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 555/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 556/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 557/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 558/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 559/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 560/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 561/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 562/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 563/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 564/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 565/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 566/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 567/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 568/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 569/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 570/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 571/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 572/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 573/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 574/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 575/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 576/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 577/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 578/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 579/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 580/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 581/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 582/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 583/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 584/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 585/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 586/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 587/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 588/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 589/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 590/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 591/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 592/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 593/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 594/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 595/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 596/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 597/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 598/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 599/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 600/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 601/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 602/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 603/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 604/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 605/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 606/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 607/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 608/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 609/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 610/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 611/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 612/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 613/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 614/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 615/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 616/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 617/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 618/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 619/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 620/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 621/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 622/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 623/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 624/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 625/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 626/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 627/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 628/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 629/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 630/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 631/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 632/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 633/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 634/1024\n",
"90/90 [==============================] - 1s 8ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 635/1024\n",
"90/90 [==============================] - 1s 8ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 636/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 637/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 638/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 639/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 640/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 641/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 642/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 643/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 644/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 645/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 646/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 647/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 648/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 649/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 650/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 651/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 652/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 653/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 654/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 655/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 656/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 657/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 658/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 659/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 660/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 661/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 662/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 663/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 664/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 665/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 666/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 667/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 668/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 669/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 670/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 671/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 672/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 673/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 674/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 675/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 676/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 677/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 678/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 679/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 680/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 681/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 682/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 683/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 684/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 685/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 686/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 687/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 688/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 689/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 690/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 691/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 692/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 693/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 694/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 695/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 696/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 697/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 698/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 699/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 700/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 701/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 1/1024\n",
"90/90 [==============================] - 1s 5ms/step - loss: 0.0200 - val_loss: 0.0445 - lr: 0.0025\n",
"Epoch 2/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0112 - val_loss: 0.0580 - lr: 0.0025\n",
"Epoch 3/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0072 - val_loss: 0.0416 - lr: 0.0025\n",
"Epoch 4/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0060 - val_loss: 0.0334 - lr: 0.0025\n",
"Epoch 5/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0058 - val_loss: 0.1844 - lr: 0.0025\n",
"Epoch 6/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0055 - val_loss: 0.1286 - lr: 0.0025\n",
"Epoch 7/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0052 - val_loss: 0.2282 - lr: 0.0025\n",
"Epoch 8/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0051 - val_loss: 0.2279 - lr: 0.0025\n",
"Epoch 9/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0049 - val_loss: 0.2278 - lr: 0.0025\n",
"Epoch 10/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0049 - val_loss: 0.0826 - lr: 0.0025\n",
"Epoch 11/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0047 - val_loss: 0.1089 - lr: 0.0025\n",
"Epoch 12/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0046 - val_loss: 0.1621 - lr: 0.0025\n",
"Epoch 13/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0045 - val_loss: 0.2283 - lr: 0.0025\n",
"Epoch 14/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0046 - val_loss: 0.0505 - lr: 0.0025\n",
"Epoch 15/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0043 - val_loss: 0.2272 - lr: 0.0025\n",
"Epoch 16/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0044 - val_loss: 0.2275 - lr: 0.0025\n",
"Epoch 17/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0043 - val_loss: 0.2283 - lr: 0.0025\n",
"Epoch 18/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0042 - val_loss: 0.0427 - lr: 0.0025\n",
"Epoch 19/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0044 - val_loss: 0.2226 - lr: 0.0025\n",
"Epoch 20/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0043 - val_loss: 0.2283 - lr: 0.0025\n",
"Epoch 21/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0039 - val_loss: 0.2276 - lr: 0.0025\n",
"Epoch 22/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0042 - val_loss: 0.1260 - lr: 0.0025\n",
"Epoch 23/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0040 - val_loss: 0.0669 - lr: 0.0025\n",
"Epoch 24/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0040 - val_loss: 0.2283 - lr: 0.0025\n",
"Epoch 25/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0041 - val_loss: 0.2805 - lr: 0.0025\n",
"Epoch 26/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0040 - val_loss: 0.2283 - lr: 0.0025\n",
"Epoch 27/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0039 - val_loss: 0.1420 - lr: 0.0025\n",
"Epoch 28/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0038 - val_loss: 0.2679 - lr: 0.0025\n",
"Epoch 29/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0038 - val_loss: 0.1820 - lr: 0.0025\n",
"Epoch 30/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0036 - val_loss: 0.2280 - lr: 0.0012\n",
"Epoch 31/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0036 - val_loss: 0.0568 - lr: 0.0012\n",
"Epoch 32/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0035 - val_loss: 0.2280 - lr: 0.0012\n",
"Epoch 33/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0035 - val_loss: 0.1910 - lr: 0.0012\n",
"Epoch 34/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0035 - val_loss: 0.0051 - lr: 0.0012\n",
"Epoch 35/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0036 - val_loss: 0.1691 - lr: 0.0012\n",
"Epoch 36/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0034 - val_loss: 0.1363 - lr: 0.0012\n",
"Epoch 37/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.2281 - lr: 0.0012\n",
"Epoch 38/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 39/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0035 - val_loss: 0.2757 - lr: 0.0012\n",
"Epoch 40/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 41/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0034 - val_loss: 0.2254 - lr: 0.0012\n",
"Epoch 42/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0035 - val_loss: 0.0158 - lr: 0.0012\n",
"Epoch 43/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0034 - val_loss: 0.0809 - lr: 0.0012\n",
"Epoch 44/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0035 - val_loss: 0.1229 - lr: 0.0012\n",
"Epoch 45/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 46/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0034 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 47/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0034 - val_loss: 0.2258 - lr: 0.0012\n",
"Epoch 48/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.1109 - lr: 0.0012\n",
"Epoch 49/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0034 - val_loss: 0.1298 - lr: 0.0012\n",
"Epoch 50/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.1794 - lr: 0.0012\n",
"Epoch 51/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.2858 - lr: 0.0012\n",
"Epoch 52/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0034 - val_loss: 0.1916 - lr: 0.0012\n",
"Epoch 53/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.0281 - lr: 0.0012\n",
"Epoch 54/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.0242 - lr: 0.0012\n",
"Epoch 55/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.2430 - lr: 0.0012\n",
"Epoch 56/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0033 - val_loss: 0.2232 - lr: 0.0012\n",
"Epoch 57/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0032 - val_loss: 0.1436 - lr: 0.0012\n",
"Epoch 58/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0033 - val_loss: 0.2283 - lr: 0.0012\n",
"Epoch 59/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0032 - val_loss: 0.2273 - lr: 0.0012\n",
"Epoch 60/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0031 - val_loss: 0.1254 - lr: 6.2500e-04\n",
"Epoch 61/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0031 - val_loss: 0.2271 - lr: 6.2500e-04\n",
"Epoch 62/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0205 - lr: 6.2500e-04\n",
"Epoch 63/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0032 - val_loss: 0.2282 - lr: 6.2500e-04\n",
"Epoch 64/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0666 - lr: 6.2500e-04\n",
"Epoch 65/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.1625 - lr: 6.2500e-04\n",
"Epoch 66/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0030 - val_loss: 0.1056 - lr: 6.2500e-04\n",
"Epoch 67/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0032 - val_loss: 0.0913 - lr: 6.2500e-04\n",
"Epoch 68/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0682 - lr: 6.2500e-04\n",
"Epoch 69/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0142 - lr: 6.2500e-04\n",
"Epoch 70/1024\n",
"90/90 [==============================] - 0s 6ms/step - loss: 0.0031 - val_loss: 0.0260 - lr: 6.2500e-04\n",
"Epoch 71/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0032 - val_loss: 0.0446 - lr: 6.2500e-04\n",
"Epoch 72/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0339 - lr: 6.2500e-04\n",
"Epoch 73/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.2280 - lr: 6.2500e-04\n",
"Epoch 74/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.0307 - lr: 6.2500e-04\n",
"Epoch 75/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.2274 - lr: 6.2500e-04\n",
"Epoch 76/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.1351 - lr: 6.2500e-04\n",
"Epoch 77/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.2561 - lr: 6.2500e-04\n",
"Epoch 78/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.1924 - lr: 6.2500e-04\n",
"Epoch 79/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0469 - lr: 6.2500e-04\n",
"Epoch 80/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.2270 - lr: 6.2500e-04\n",
"Epoch 81/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.2063 - lr: 6.2500e-04\n",
"Epoch 82/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0032 - val_loss: 0.2454 - lr: 6.2500e-04\n",
"Epoch 83/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.0807 - lr: 6.2500e-04\n",
"Epoch 84/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0031 - val_loss: 0.2273 - lr: 6.2500e-04\n",
"Epoch 85/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.1567 - lr: 3.1250e-04\n",
"Epoch 86/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0312 - lr: 3.1250e-04\n",
"Epoch 87/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0030 - val_loss: 0.2094 - lr: 3.1250e-04\n",
"Epoch 88/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0614 - lr: 3.1250e-04\n",
"Epoch 89/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0531 - lr: 3.1250e-04\n",
"Epoch 90/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.1298 - lr: 3.1250e-04\n",
"Epoch 91/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.2121 - lr: 3.1250e-04\n",
"Epoch 92/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0467 - lr: 3.1250e-04\n",
"Epoch 93/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.2095 - lr: 3.1250e-04\n",
"Epoch 94/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0687 - lr: 3.1250e-04\n",
"Epoch 95/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0136 - lr: 3.1250e-04\n",
"Epoch 96/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0777 - lr: 3.1250e-04\n",
"Epoch 97/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.1891 - lr: 3.1250e-04\n",
"Epoch 98/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0030 - val_loss: 0.1207 - lr: 3.1250e-04\n",
"Epoch 99/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.1203 - lr: 3.1250e-04\n",
"Epoch 100/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.1259 - lr: 3.1250e-04\n",
"Epoch 101/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.1485 - lr: 3.1250e-04\n",
"Epoch 102/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0414 - lr: 3.1250e-04\n",
"Epoch 103/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0085 - lr: 3.1250e-04\n",
"Epoch 104/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.1126 - lr: 3.1250e-04\n",
"Epoch 105/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.2589 - lr: 3.1250e-04\n",
"Epoch 106/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.1999 - lr: 3.1250e-04\n",
"Epoch 107/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0292 - lr: 3.1250e-04\n",
"Epoch 108/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.2190 - lr: 3.1250e-04\n",
"Epoch 109/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0277 - lr: 3.1250e-04\n",
"Epoch 110/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.1596 - lr: 1.5625e-04\n",
"Epoch 111/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0441 - lr: 1.5625e-04\n",
"Epoch 112/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0135 - lr: 1.5625e-04\n",
"Epoch 113/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0416 - lr: 1.5625e-04\n",
"Epoch 114/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0248 - lr: 1.5625e-04\n",
"Epoch 115/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.1248 - lr: 1.5625e-04\n",
"Epoch 116/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0155 - lr: 1.5625e-04\n",
"Epoch 117/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0751 - lr: 1.5625e-04\n",
"Epoch 118/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0217 - lr: 1.5625e-04\n",
"Epoch 119/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0082 - lr: 1.5625e-04\n",
"Epoch 120/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0775 - lr: 1.5625e-04\n",
"Epoch 121/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.1452 - lr: 1.5625e-04\n",
"Epoch 122/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0055 - lr: 1.5625e-04\n",
"Epoch 123/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.1138 - lr: 1.5625e-04\n",
"Epoch 124/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0185 - lr: 1.5625e-04\n",
"Epoch 125/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0451 - lr: 1.5625e-04\n",
"Epoch 126/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0113 - lr: 1.5625e-04\n",
"Epoch 127/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.1121 - lr: 1.5625e-04\n",
"Epoch 128/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0216 - lr: 1.5625e-04\n",
"Epoch 129/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0202 - lr: 1.5625e-04\n",
"Epoch 130/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0219 - lr: 1.5625e-04\n",
"Epoch 131/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0750 - lr: 1.5625e-04\n",
"Epoch 132/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0301 - lr: 1.5625e-04\n",
"Epoch 133/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0761 - lr: 1.5625e-04\n",
"Epoch 134/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.2151 - lr: 1.5625e-04\n",
"Epoch 135/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0114 - lr: 7.8125e-05\n",
"Epoch 136/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0230 - lr: 7.8125e-05\n",
"Epoch 137/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0689 - lr: 7.8125e-05\n",
"Epoch 138/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0152 - lr: 7.8125e-05\n",
"Epoch 139/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0188 - lr: 7.8125e-05\n",
"Epoch 140/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0118 - lr: 7.8125e-05\n",
"Epoch 141/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0091 - lr: 7.8125e-05\n",
"Epoch 142/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0065 - lr: 7.8125e-05\n",
"Epoch 143/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0847 - lr: 7.8125e-05\n",
"Epoch 144/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0205 - lr: 7.8125e-05\n",
"Epoch 145/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0125 - lr: 7.8125e-05\n",
"Epoch 146/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0109 - lr: 7.8125e-05\n",
"Epoch 147/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0397 - lr: 7.8125e-05\n",
"Epoch 148/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0490 - lr: 7.8125e-05\n",
"Epoch 149/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0317 - lr: 7.8125e-05\n",
"Epoch 150/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0138 - lr: 7.8125e-05\n",
"Epoch 151/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0121 - lr: 7.8125e-05\n",
"Epoch 152/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0222 - lr: 7.8125e-05\n",
"Epoch 153/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0434 - lr: 7.8125e-05\n",
"Epoch 154/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0994 - lr: 7.8125e-05\n",
"Epoch 155/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0131 - lr: 7.8125e-05\n",
"Epoch 156/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0397 - lr: 7.8125e-05\n",
"Epoch 157/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0112 - lr: 7.8125e-05\n",
"Epoch 158/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0292 - lr: 7.8125e-05\n",
"Epoch 159/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0093 - lr: 7.8125e-05\n",
"Epoch 160/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0037 - lr: 3.9062e-05\n",
"Epoch 161/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0178 - lr: 3.9062e-05\n",
"Epoch 162/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0405 - lr: 3.9062e-05\n",
"Epoch 163/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0060 - lr: 3.9062e-05\n",
"Epoch 164/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0201 - lr: 3.9062e-05\n",
"Epoch 165/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0094 - lr: 3.9062e-05\n",
"Epoch 166/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0213 - lr: 3.9062e-05\n",
"Epoch 167/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0128 - lr: 3.9062e-05\n",
"Epoch 168/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0244 - lr: 3.9062e-05\n",
"Epoch 169/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0076 - lr: 3.9062e-05\n",
"Epoch 170/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0373 - lr: 3.9062e-05\n",
"Epoch 171/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0100 - lr: 3.9062e-05\n",
"Epoch 172/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0081 - lr: 3.9062e-05\n",
"Epoch 173/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0427 - lr: 3.9062e-05\n",
"Epoch 174/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0158 - lr: 3.9062e-05\n",
"Epoch 175/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0069 - lr: 3.9062e-05\n",
"Epoch 176/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0413 - lr: 3.9062e-05\n",
"Epoch 177/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0095 - lr: 3.9062e-05\n",
"Epoch 178/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0095 - lr: 3.9062e-05\n",
"Epoch 179/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0075 - lr: 3.9062e-05\n",
"Epoch 180/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0052 - lr: 3.9062e-05\n",
"Epoch 181/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0082 - lr: 3.9062e-05\n",
"Epoch 182/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0077 - lr: 3.9062e-05\n",
"Epoch 183/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0127 - lr: 3.9062e-05\n",
"Epoch 184/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0077 - lr: 3.9062e-05\n",
"Epoch 185/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0191 - lr: 3.9062e-05\n",
"Epoch 186/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0026 - val_loss: 0.0122 - lr: 1.9531e-05\n",
"Epoch 187/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0030 - lr: 1.9531e-05\n",
"Epoch 188/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0046 - lr: 1.9531e-05\n",
"Epoch 189/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0035 - lr: 1.9531e-05\n",
"Epoch 190/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0029 - lr: 1.9531e-05\n",
"Epoch 191/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 1.9531e-05\n",
"Epoch 192/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0056 - lr: 1.9531e-05\n",
"Epoch 193/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0084 - lr: 1.9531e-05\n",
"Epoch 194/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0031 - lr: 1.9531e-05\n",
"Epoch 195/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0111 - lr: 1.9531e-05\n",
"Epoch 196/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0039 - lr: 1.9531e-05\n",
"Epoch 197/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0040 - lr: 1.9531e-05\n",
"Epoch 198/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0038 - lr: 1.9531e-05\n",
"Epoch 199/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0035 - lr: 1.9531e-05\n",
"Epoch 200/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0036 - lr: 1.9531e-05\n",
"Epoch 201/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0033 - lr: 1.9531e-05\n",
"Epoch 202/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 1.9531e-05\n",
"Epoch 203/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0026 - val_loss: 0.0053 - lr: 1.9531e-05\n",
"Epoch 204/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0044 - lr: 1.9531e-05\n",
"Epoch 205/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0035 - lr: 1.9531e-05\n",
"Epoch 206/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0044 - lr: 1.9531e-05\n",
"Epoch 207/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0032 - lr: 1.9531e-05\n",
"Epoch 208/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0032 - lr: 1.9531e-05\n",
"Epoch 209/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0090 - lr: 1.9531e-05\n",
"Epoch 210/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0089 - lr: 1.9531e-05\n",
"Epoch 211/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0071 - lr: 1.9531e-05\n",
"Epoch 212/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0069 - lr: 1.9531e-05\n",
"Epoch 213/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0100 - lr: 1.9531e-05\n",
"Epoch 214/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0042 - lr: 1.9531e-05\n",
"Epoch 215/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0031 - lr: 1.9531e-05\n",
"Epoch 216/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0058 - lr: 1.9531e-05\n",
"Epoch 217/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0030 - lr: 9.7656e-06\n",
"Epoch 218/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 219/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 220/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 221/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 222/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 223/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0051 - lr: 9.7656e-06\n",
"Epoch 224/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0032 - lr: 9.7656e-06\n",
"Epoch 225/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0082 - lr: 9.7656e-06\n",
"Epoch 226/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0036 - lr: 9.7656e-06\n",
"Epoch 227/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0065 - lr: 9.7656e-06\n",
"Epoch 228/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 229/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0032 - lr: 9.7656e-06\n",
"Epoch 230/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 9.7656e-06\n",
"Epoch 231/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0039 - lr: 9.7656e-06\n",
"Epoch 232/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0049 - lr: 9.7656e-06\n",
"Epoch 233/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0038 - lr: 9.7656e-06\n",
"Epoch 234/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0027 - lr: 9.7656e-06\n",
"Epoch 235/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 9.7656e-06\n",
"Epoch 236/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0036 - lr: 9.7656e-06\n",
"Epoch 237/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0038 - lr: 9.7656e-06\n",
"Epoch 238/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 239/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 9.7656e-06\n",
"Epoch 240/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0034 - lr: 9.7656e-06\n",
"Epoch 241/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 242/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 9.7656e-06\n",
"Epoch 243/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0052 - lr: 9.7656e-06\n",
"Epoch 244/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0028 - lr: 9.7656e-06\n",
"Epoch 245/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0037 - lr: 9.7656e-06\n",
"Epoch 246/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 247/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 248/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 249/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 250/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 251/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 252/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0028 - lr: 4.8828e-06\n",
"Epoch 253/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 254/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0032 - lr: 4.8828e-06\n",
"Epoch 255/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 256/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 257/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 258/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 259/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0035 - lr: 4.8828e-06\n",
"Epoch 260/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 261/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0032 - lr: 4.8828e-06\n",
"Epoch 262/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 263/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 264/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0030 - lr: 4.8828e-06\n",
"Epoch 265/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 266/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 267/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 268/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 269/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0027 - lr: 4.8828e-06\n",
"Epoch 270/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 4.8828e-06\n",
"Epoch 271/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0029 - lr: 4.8828e-06\n",
"Epoch 272/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.8828e-06\n",
"Epoch 273/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 274/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 275/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 276/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 277/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 278/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 279/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 280/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 281/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 282/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 283/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0028 - lr: 2.4414e-06\n",
"Epoch 284/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 285/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 286/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0027 - lr: 2.4414e-06\n",
"Epoch 287/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 288/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0027 - lr: 2.4414e-06\n",
"Epoch 289/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 290/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 291/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 292/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 293/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 294/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 295/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 296/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 297/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0028 - lr: 2.4414e-06\n",
"Epoch 298/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 299/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 300/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 301/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 302/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 303/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 304/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 305/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 306/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 307/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 308/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 309/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 310/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 311/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 312/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 2.4414e-06\n",
"Epoch 313/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 314/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 315/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 316/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 317/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 318/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 319/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 320/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 321/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 322/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 323/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 324/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 325/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 326/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 327/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 2.4414e-06\n",
"Epoch 328/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0027 - lr: 2.4414e-06\n",
"Epoch 329/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.4414e-06\n",
"Epoch 330/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 331/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 332/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 333/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 334/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 335/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 336/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 1.2207e-06\n",
"Epoch 337/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 338/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 339/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 340/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 341/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 342/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 343/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 344/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 345/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 346/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 347/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 348/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 349/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 350/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 351/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 352/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.2207e-06\n",
"Epoch 353/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0026 - lr: 1.2207e-06\n",
"Epoch 354/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0026 - lr: 1.2207e-06\n",
"Epoch 355/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 356/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 357/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 358/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 359/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 360/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 361/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 362/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 363/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 364/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 365/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 366/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 367/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 368/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 369/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 370/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 371/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 372/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 373/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 374/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 375/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 376/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 377/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 378/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 379/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 6.1035e-07\n",
"Epoch 380/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 381/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 382/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 383/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 384/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 385/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 386/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 387/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 388/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 389/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 390/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 391/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 392/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 393/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 394/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 395/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 396/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 397/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 398/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 399/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 400/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 401/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 402/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 403/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 404/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.0518e-07\n",
"Epoch 405/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 406/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 407/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 408/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 409/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 410/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 411/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 412/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 413/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 414/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 415/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 416/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 417/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 418/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 419/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 420/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 421/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 422/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 423/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 424/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 425/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 426/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 427/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 428/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 429/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.5259e-07\n",
"Epoch 430/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 431/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 432/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 433/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 434/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 435/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 436/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 437/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 438/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 439/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 440/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 441/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 442/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 443/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 444/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 445/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 446/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 447/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 448/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 449/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 450/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 451/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 452/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 453/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 454/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.6294e-08\n",
"Epoch 455/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 456/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 457/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 458/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 459/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 460/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 461/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 462/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 463/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 464/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 465/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 466/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 467/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 468/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 469/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 470/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 471/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 472/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 473/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 474/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 475/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 476/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 477/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 478/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 479/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.8147e-08\n",
"Epoch 480/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 481/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 482/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 483/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 484/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 485/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 486/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 487/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 488/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 489/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 490/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 491/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 492/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 493/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 494/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 495/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 496/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 497/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 498/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 499/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 500/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 501/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 502/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 503/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 504/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.9073e-08\n",
"Epoch 505/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 506/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 507/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 508/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 509/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 510/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 511/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 512/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 513/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 514/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 515/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 516/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 517/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 518/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 519/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 520/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0030 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 521/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 522/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 523/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 524/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 525/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 526/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 527/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 528/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 529/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.5367e-09\n",
"Epoch 530/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 531/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 532/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 533/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 534/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 535/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 536/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 537/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 538/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 539/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 540/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 541/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 542/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 543/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 544/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 545/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 546/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 547/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 548/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 549/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 550/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 551/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 552/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 553/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 554/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.7684e-09\n",
"Epoch 555/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 556/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 557/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 558/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 559/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 560/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 561/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 562/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 563/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 564/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 565/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 566/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 567/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 568/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 569/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 570/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 571/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 572/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 573/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 574/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 575/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 576/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 577/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 578/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 579/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3842e-09\n",
"Epoch 580/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 581/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 582/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 583/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 584/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 585/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 586/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 587/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 588/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 589/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 590/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 591/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 592/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 593/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 594/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 595/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 596/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 597/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 598/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 599/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 600/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 601/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 602/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 603/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 604/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1921e-09\n",
"Epoch 605/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 606/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 607/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 608/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 609/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 610/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 611/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 612/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 613/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 614/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 615/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 616/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 617/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 618/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 619/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 620/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 621/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 622/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 623/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 624/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 625/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 626/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 627/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 628/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 629/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.9605e-10\n",
"Epoch 630/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 631/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 632/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 633/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 634/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 635/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 636/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 637/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 638/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 639/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 640/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 641/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 642/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 643/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 644/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 645/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 646/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 647/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 648/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 649/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 650/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 651/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 652/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 653/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 654/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9802e-10\n",
"Epoch 655/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 656/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 657/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 658/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 659/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 660/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 661/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 662/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 663/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 664/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 665/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 666/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 667/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 668/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 669/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 670/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 671/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 672/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 673/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 674/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 675/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 676/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 677/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 678/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 679/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4901e-10\n",
"Epoch 680/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 681/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 682/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 683/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 684/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 685/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 686/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 687/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 688/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 689/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 690/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 691/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 692/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 693/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 694/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 695/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 696/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 697/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 698/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 699/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 700/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 701/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 702/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 703/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 704/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 705/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 706/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 707/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.4506e-11\n",
"Epoch 708/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 709/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 710/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 711/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 712/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 713/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 714/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 715/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 716/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 717/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 718/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 719/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 720/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 721/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 722/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 723/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 724/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 725/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 726/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 727/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 728/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 729/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 730/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 731/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 732/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.7253e-11\n",
"Epoch 733/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 734/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 735/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 736/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 737/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 738/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 739/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 740/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 741/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 742/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 743/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 744/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 745/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 746/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 747/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 748/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 749/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 750/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 751/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 752/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 753/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 754/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 755/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 756/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 757/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8626e-11\n",
"Epoch 758/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 759/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 760/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 761/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 762/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 763/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 764/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 765/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 766/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 767/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 768/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 769/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 770/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 771/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 772/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 773/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 774/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 775/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 776/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 777/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 778/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 779/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 780/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 781/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 782/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.3132e-12\n",
"Epoch 783/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 784/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 785/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 786/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 787/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 788/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 789/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 790/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 791/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 792/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 793/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 794/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 795/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 796/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 797/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 798/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 799/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 800/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 801/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 802/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 803/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 804/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 805/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 806/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 807/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 4.6566e-12\n",
"Epoch 808/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 809/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 810/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 811/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 812/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 813/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 814/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 815/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 816/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 817/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 818/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 819/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 820/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 821/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 822/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 823/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 824/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 825/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 826/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 827/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 828/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 829/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 830/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 831/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 832/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.3283e-12\n",
"Epoch 833/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 834/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 835/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 836/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 837/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 838/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 839/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 840/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 841/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 842/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 843/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 844/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 845/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 846/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 847/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 848/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 849/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 850/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 851/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 852/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 853/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 854/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 855/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 856/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 857/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.1642e-12\n",
"Epoch 858/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 859/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 860/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 861/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 862/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 863/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 864/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 865/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 866/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 867/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 868/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 869/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 870/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 871/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 872/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 873/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 874/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 875/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 876/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 877/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 878/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 879/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 880/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 881/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 882/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 5.8208e-13\n",
"Epoch 883/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 884/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 885/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 886/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 887/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 888/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 889/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 890/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 891/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 892/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 893/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 894/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 895/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 896/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 897/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 898/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 899/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 900/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 901/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 902/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 903/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 904/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 905/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 906/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 907/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 2.9104e-13\n",
"Epoch 908/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 909/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 910/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 911/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 912/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 913/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 914/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 915/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 916/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 917/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 918/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 919/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 920/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 921/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 922/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 923/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 924/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 925/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 926/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 927/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 928/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 929/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 930/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 931/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 932/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.4552e-13\n",
"Epoch 933/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 934/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 935/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 936/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 937/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 938/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 939/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 940/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 941/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 942/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 943/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 944/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 945/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 946/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 947/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 948/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 949/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 950/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 951/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 952/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 953/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 954/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 955/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 956/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 957/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 7.2760e-14\n",
"Epoch 958/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 959/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 960/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 961/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 962/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 963/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 964/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 965/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 966/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 967/1024\n",
"90/90 [==============================] - 0s 2ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 968/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 969/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 970/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 971/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 972/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 973/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 974/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 975/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 976/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 977/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 978/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 979/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 980/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 981/1024\n",
"90/90 [==============================] - 0s 5ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 982/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 3.6380e-14\n",
"Epoch 983/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 984/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 985/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 986/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 987/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 988/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 989/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 990/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 991/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 992/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 993/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 994/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 995/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 996/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 997/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 998/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 999/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 1000/1024\n",
"90/90 [==============================] - 1s 8ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 1001/1024\n",
"90/90 [==============================] - 1s 11ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 1002/1024\n",
"90/90 [==============================] - 1s 7ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 1003/1024\n",
"90/90 [==============================] - 1s 6ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 1004/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 1005/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 1006/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 1007/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 1.8190e-14\n",
"Epoch 1008/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.0949e-15\n",
"Epoch 1009/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.0949e-15\n",
"Epoch 1010/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.0949e-15\n",
"Epoch 1011/1024\n",
"90/90 [==============================] - 0s 4ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.0949e-15\n",
"Epoch 1012/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.0949e-15\n",
"Epoch 1013/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.0949e-15\n",
"Epoch 1014/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0026 - val_loss: 0.0025 - lr: 9.0949e-15\n",
"Epoch 1015/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.0949e-15\n",
"Epoch 1016/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.0949e-15\n",
"Epoch 1017/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.0949e-15\n",
"Epoch 1018/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.0949e-15\n",
"Epoch 1019/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.0949e-15\n",
"Epoch 1020/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.0949e-15\n",
"Epoch 1021/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0027 - val_loss: 0.0025 - lr: 9.0949e-15\n",
"Epoch 1022/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.0949e-15\n",
"Epoch 1023/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0029 - val_loss: 0.0025 - lr: 9.0949e-15\n",
"Epoch 1024/1024\n",
"90/90 [==============================] - 0s 3ms/step - loss: 0.0028 - val_loss: 0.0025 - lr: 9.0949e-15\n"
]
}
],
"source": [
"epoch, batch_size = 1024, 64\n",
"history_shortcut_11 = shortcut11.fit(x_train, y_train, x_val, y_val, epoch=epoch, batch_size=batch_size, method=training_method)\n",
"history_shortcut_5 = shortcut5.fit(x_train, y_train, x_val, y_val, epoch=epoch, batch_size=batch_size, method=training_method)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"text/plain": "<Figure size 432x288 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots()\n",
"x = np.array(range(len(history_shortcut_11.history['loss']) - smoothing_windows + 1))\n",
"ax.plot(x, 100*moving_average(history_shortcut_11.history[\"val_loss\"], smoothing_windows), linewidth=3.0, label='SCCNN11', c='b')\n",
"ax.plot(x, 100*moving_average(history_shortcut_11.history[\"loss\"], smoothing_windows), linewidth=.5, c='b')\n",
"x = np.array(range(len(history_shortcut_5.history['loss']) - smoothing_windows + 1))\n",
"ax.plot(x, 100*moving_average(history_shortcut_5.history[\"val_loss\"], smoothing_windows), linewidth=3.0, label='SCCNN5', c='r')\n",
"ax.plot(x, 100*moving_average(history_shortcut_5.history[\"loss\"], smoothing_windows), linewidth=.5, c='r')\n",
"ax.set_xlabel(\"iter\")\n",
"ax.set_ylabel(\"error(%)\")\n",
"ax.set_xlim(0, min(len(history_shortcut_5.history['loss']), len(history_shortcut_11.history['loss']) - smoothing_windows + 1))\n",
"ax.set_ylim(0.23, 0.35)\n",
"ax.spines[\"top\"].set_visible(False)\n",
"ax.spines[\"right\"].set_visible(False)\n",
"ax.yaxis.set_major_locator(ticker.LinearLocator(numticks=6))\n",
"ax.grid(axis='y', linestyle='--')\n",
"ax.annotate(\"11-layer\", (540, 0.238), c='b')\n",
"ax.annotate(\"5-layer\", (540, 0.255), c='r')\n",
"plt.legend(loc=3)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"plt.savefig(fname=\"fig2_rmsprop.png\", dpi=300)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"import os\n",
"time_spent = (time.time() - time1) /60"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"17.224380719661713 min\n"
]
}
],
"source": [
"print(time_spent, \"min\")"
]
},
{
"cell_type": "code",
"execution_count": 16,
"outputs": [],
"source": [],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
}
],
"metadata": {
"interpreter": {
"hash": "7f619fc91ee8bdab81d49e7c14228037474662e3f2d607687ae505108922fa06"
},
"kernelspec": {
"display_name": "Python 3.9.7 64-bit ('base': conda)",
"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": "3.9.7"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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