1D_TDCCN-kfoldcrossvalidation_test_machine_1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 846
    },
    "colab_type": "code",
    "id": "wXz2orRxQsB6",
    "outputId": "1a2c1451-1f71-4354-834c-79e381a01f4e"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "from __future__ import print_function\n",
    "import keras\n",
    "from keras.layers import Dense, Conv2D, BatchNormalization, Activation\n",
    "from keras.layers import AveragePooling2D, Input, Flatten\n",
    "from keras.optimizers import Adam, SGD\n",
    "from keras.callbacks import ModelCheckpoint, LearningRateScheduler\n",
    "from keras.callbacks import ReduceLROnPlateau, CSVLogger \n",
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "from keras.regularizers import l2\n",
    "from keras import backend as K\n",
    "from keras.models import Model\n",
    "from keras.datasets import cifar10\n",
    "import numpy as np\n",
    "import os\n",
    "\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# !pip install livelossplot \n",
    "from livelossplot import PlotLossesKeras\n",
    "\n",
    "\n",
    "from keras import backend\n",
    "\n",
    "from keras.layers import AveragePooling1D, Input, GlobalMaxPooling1D\n",
    "from keras import layers, models\n",
    "from keras import backend\n",
    "import time\n",
    "\n",
    "import tensorflow as tf\n",
    "config = tf.ConfigProto()\n",
    "config.gpu_options.per_process_gpu_memory_fraction = 0.4\n",
    "session = tf.Session(config=config)\n",
    "\n",
    "\n",
    "# import tensorflow as tf\n",
    "\n",
    "# config = tf.ConfigProto()\n",
    "# config.gpu_options.allow_growth = True\n",
    "# session = tf.Session(config=config)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "AVpGoW9HF3C5"
   },
   "source": [
    "# Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "8ByRdciSCZ55"
   },
   "source": [
    "## Load Data set "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 329
    },
    "colab_type": "code",
    "id": "EwSMiMi2QyBr",
    "outputId": "b272f4f7-f070-4727-978a-dc0addd1a768"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2160, 100, 3) (2160,)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_type = 'nonsvm'\n",
    "\n",
    "if data_type == 'svm':\n",
    "    data_set_path = './data_set/svm'\n",
    "    save_path = f'./save_file/x_data_6_128_UCI_HAR_svm_acc/'\n",
    "    x_data = np.load(data_set_path+\"/x_data_6_128_UCI_HAR_svm_acc.npy\")\n",
    "    y_data = np.load(data_set_path+\"/y_data_6_128_UCI_HAR_svm_acc.npy\")\n",
    "    data_chennal = 1\n",
    "else:\n",
    "#     data_set_path = './data_set/nonsvm'\n",
    "#     save_path = f'./save_file/x_data_6_128_UCI_HAR_nonsvm_acc/'\n",
    "#     x_data = np.load(data_set_path+\"/x_data_6_128_UCI_HAR_nonsvm_acc.npy\")\n",
    "#     y_data = np.load(data_set_path+\"/y_data_6_128_UCI_HAR_nonsvm_acc.npy\")\n",
    "\n",
    "    data_set_path = './data_set/nonsvm'\n",
    "    save_path = './save_file/data_3_100_my_svm_acc+gyro/nocrop/'\n",
    "    x_data = np.load(data_set_path+\"/x_data_3_100_my_nonsvm_acc+gyro.npy\")\n",
    "    y_data = np.load(data_set_path+\"/y_data_3_100_my_nonsvm_acc+gyro.npy\")\n",
    "    data_chennal = 3\n",
    "    \n",
    "# data_set_path = './data_set/my_data/class_9'\n",
    "# data_set_path = './data_set/svm'\n",
    "\n",
    "# save_path = './save_file/data_3_100_my_svm'\n",
    "# save_path = './save_file/data_3_100_my_svm_acc+gyro'\n",
    "\n",
    "# save_path = f'./save_file/x_data_6_128_UCI_HAR_svm_acc/'\n",
    "\n",
    "\n",
    "# x_data = np.load(data_set_path+\"/x_data_3_100_my_svm_acc+gyro.npy\")\n",
    "# y_data = np.load(data_set_path+\"/y_data_3_100_my_svm_acc+gyro.npy\")\n",
    "\n",
    "# x_data = np.load(data_set_path+\"/x_data_6_500_hard_svm_acc+gyro.npy\")\n",
    "# y_data = np.load(data_set_path+\"/y_data_6_500_hard_svm_acc+gyro.npy\")\n",
    "\n",
    "# x_data = np.load(data_set_path+\"/x_data_6_128_UCI_HAR_svm_acc.npy\")\n",
    "# y_data = np.load(data_set_path+\"/y_data_6_128_UCI_HAR_svm_acc.npy\")\n",
    "\n",
    "\n",
    "print(x_data.shape, y_data.shape)\n",
    "\n",
    "data_classes = 3\n",
    "\n",
    "# # Normalization\n",
    "# for idx in range(len(x_data)):\n",
    "#     min = np.min(x_data[idx])\n",
    "#     max = np.max(x_data[idx])\n",
    "#     x_data[idx] = (x_data[idx] - min) / (max - min)\n",
    "\n",
    "# fig = plt.figure(figsize=(25,10))\n",
    "\n",
    "# for id in range(4):\n",
    "#     ax = fig.add_subplot(2,4,id+1)\n",
    "#     ax.plot(x_data[id])\n",
    "#     ax.grid(True)\n",
    "#     ax.set_title(f\"x_train{id}\")\n",
    "\n",
    "# # Standardize\n",
    "# for idx in range(len(x_data)):\n",
    "#     standard_deviation = np.std(x_data[idx])\n",
    "#     mean = np.mean(x_data[idx])\n",
    "#     x_data[idx] = (x_data[idx] - mean) / standard_deviation\n",
    "\n",
    "\n",
    "# fig = plt.figure(figsize=(25,10))\n",
    "\n",
    "# for id in range(4):\n",
    "#     ax = fig.add_subplot(2,4,id+1)\n",
    "#     ax.plot(x_data[id])\n",
    "#     ax.grid(True)\n",
    "#     ax.set_title(f\"x_train{id}\")\n",
    "\n",
    "fig = plt.figure(figsize=(25,10))\n",
    "\n",
    "for id in range(4):\n",
    "    ax = fig.add_subplot(2,4,id+1)\n",
    "    ax.plot(x_data[id])\n",
    "    ax.grid(True)\n",
    "    ax.set_title(f\"x_train{id}\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "aH3x6zo2FiyT"
   },
   "source": [
    "## Data split"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 54
    },
    "colab_type": "code",
    "id": "MNbBVlyURAd8",
    "outputId": "ce63d075-9322-4f3b-8a24-2eeebc8e7be1"
   },
   "source": [
    "\n",
    "#data_set_구분\n",
    "from sklearn.model_selection import train_test_split\n",
    "x_train, x_test, y_train, y_test = train_test_split(x_data, y_data, test_size=0.3, random_state=1, shuffle=False)\n",
    "\n",
    "print(x_train.shape, x_test.shape, y_train.shape, y_test.shape)\n",
    "\n",
    "#y_data onehot encoding\n",
    "y_train = keras.utils.to_categorical(y_train, data_classes)\n",
    "y_test = keras.utils.to_categorical(y_test, data_classes)\n",
    "\n",
    "print(x_train.shape, x_test.shape, y_train.shape, y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "_OAzDrwbFqnn"
   },
   "source": [
    "## Data packaging"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "ZYWOEh9sR1ss",
    "outputId": "12f68d36-1b16-4a83-f70d-fa64f469218b"
   },
   "source": [
    "x_train = x_train.reshape(-1, 100,1)\n",
    "x_test  = x_test.reshape(-1, 100,1)\n",
    "\n",
    "print(x_train.shape, x_test.shape, y_train.shape, y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# k fold cross validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2160, 100, 3) (2160, 3)\n"
     ]
    }
   ],
   "source": [
    "#y_data onehot encoding\n",
    "if data_type == 'svm':\n",
    "    x = x_data.reshape(-1, 128, data_chennal)\n",
    "else:\n",
    "#     x = x_data.reshape(-1, 128, data_chennal)\n",
    "    x = x_data.reshape(-1, 100, data_chennal)\n",
    "\n",
    "    \n",
    "y = keras.utils.to_categorical(y_data)\n",
    "print(x.shape, y.shape)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "YilogMXq358K"
   },
   "outputs": [],
   "source": [
    "\n",
    "def recall_m(y_true, y_pred):\n",
    "        true_positives = K.sum(K.round(K.clip(y_true * y_pred, 0, 1)))\n",
    "        possible_positives = K.sum(K.round(K.clip(y_true, 0, 1)))\n",
    "        recall = true_positives / (possible_positives + K.epsilon())\n",
    "        return recall\n",
    "\n",
    "def precision_m(y_true, y_pred):\n",
    "        true_positives = K.sum(K.round(K.clip(y_true * y_pred, 0, 1)))\n",
    "        predicted_positives = K.sum(K.round(K.clip(y_pred, 0, 1)))\n",
    "        precision = true_positives / (predicted_positives + K.epsilon())\n",
    "        return precision\n",
    "\n",
    "def f1_m(y_true, y_pred):\n",
    "    precision = precision_m(y_true, y_pred)\n",
    "    recall = recall_m(y_true, y_pred)\n",
    "    return 2*((precision*recall)/(precision+recall+K.epsilon()))\n",
    "\n",
    "\n",
    "# 특정 클래스에 대한 정밀도\n",
    "def single_class_precision(interesting_class_id):\n",
    "    def prec(y_true, y_pred):\n",
    "        class_id_true = K.argmax(y_true, axis=-1)\n",
    "        class_id_pred = K.argmax(y_pred, axis=-1)\n",
    "        precision_mask = K.cast(K.equal(class_id_pred, interesting_class_id), 'int32')\n",
    "        class_prec_tensor = K.cast(K.equal(class_id_true, class_id_pred), 'int32') * precision_mask\n",
    "        class_prec = K.cast(K.sum(class_prec_tensor), 'float32') / K.cast(K.maximum(K.sum(precision_mask), 1), 'float32')\n",
    "        return class_prec\n",
    "    return prec\n",
    "\n",
    "\n",
    "# 특정 클래스에 대한 재현율\n",
    "def single_class_recall(interesting_class_id):\n",
    "    def recall(y_true, y_pred):\n",
    "        class_id_true = K.argmax(y_true, axis=-1)\n",
    "        class_id_pred = K.argmax(y_pred, axis=-1)\n",
    "        recall_mask = K.cast(K.equal(class_id_true, interesting_class_id), 'int32')\n",
    "        class_recall_tensor = K.cast(K.equal(class_id_true, class_id_pred), 'int32') * recall_mask\n",
    "        class_recall = K.cast(K.sum(class_recall_tensor), 'float32') / K.cast(K.maximum(K.sum(recall_mask), 1), 'float32')\n",
    "        return class_recall\n",
    "    return recall\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "8iMdPXqMF-xu"
   },
   "source": [
    "# Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# version 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input (InputLayer)              (None, 100, 3)       0                                            \n",
      "__________________________________________________________________________________________________\n",
      "zero_padding1d_1 (ZeroPadding1D (None, 106, 3)       0           input[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "conv1/conv (Conv1D)             (None, 100, 10)      220         zero_padding1d_1[0][0]           \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_0_bn (BatchNormali (None, 100, 10)      40          conv1/conv[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_0_relu (Activation (None, 100, 10)      0           conv2_block1_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_1_conv (Conv1D)    (None, 100, 48)      2448        conv2_block1_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_1_bn (BatchNormali (None, 100, 48)      192         conv2_block1_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_1_relu (Activation (None, 100, 48)      0           conv2_block1_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_2_conv (Conv1D)    (None, 100, 12)      5772        conv2_block1_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_concat (Concatenat (None, 100, 22)      0           conv1/conv[0][0]                 \n",
      "                                                                 conv2_block1_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_0_bn (BatchNormali (None, 100, 22)      88          conv2_block1_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_0_relu (Activation (None, 100, 22)      0           conv2_block2_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_1_conv (Conv1D)    (None, 100, 48)      5328        conv2_block2_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_1_bn (BatchNormali (None, 100, 48)      192         conv2_block2_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_1_relu (Activation (None, 100, 48)      0           conv2_block2_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_2_conv (Conv1D)    (None, 100, 12)      5772        conv2_block2_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_concat (Concatenat (None, 100, 34)      0           conv2_block1_concat[0][0]        \n",
      "                                                                 conv2_block2_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_0_bn (BatchNormali (None, 100, 34)      136         conv2_block2_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_0_relu (Activation (None, 100, 34)      0           conv2_block3_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_1_conv (Conv1D)    (None, 100, 48)      8208        conv2_block3_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_1_bn (BatchNormali (None, 100, 48)      192         conv2_block3_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_1_relu (Activation (None, 100, 48)      0           conv2_block3_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_2_conv (Conv1D)    (None, 100, 12)      5772        conv2_block3_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_concat (Concatenat (None, 100, 46)      0           conv2_block2_concat[0][0]        \n",
      "                                                                 conv2_block3_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_0_bn (BatchNormali (None, 100, 46)      184         conv2_block3_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_0_relu (Activation (None, 100, 46)      0           conv2_block4_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_1_conv (Conv1D)    (None, 100, 48)      11088       conv2_block4_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_1_bn (BatchNormali (None, 100, 48)      192         conv2_block4_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_1_relu (Activation (None, 100, 48)      0           conv2_block4_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_2_conv (Conv1D)    (None, 100, 12)      5772        conv2_block4_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_concat (Concatenat (None, 100, 58)      0           conv2_block3_concat[0][0]        \n",
      "                                                                 conv2_block4_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool2_bn (BatchNormalization)   (None, 100, 58)      232         conv2_block4_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool2_relu (Activation)         (None, 100, 58)      0           pool2_bn[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "pool2_conv (Conv1D)             (None, 100, 29)      1682        pool2_relu[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "pool2_pool (MaxPooling1D)       (None, 49, 29)       0           pool2_conv[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_0_bn (BatchNormali (None, 49, 29)       116         pool2_pool[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_0_relu (Activation (None, 49, 29)       0           conv3_block1_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_1_conv (Conv1D)    (None, 49, 48)       7008        conv3_block1_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_1_bn (BatchNormali (None, 49, 48)       192         conv3_block1_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_1_relu (Activation (None, 49, 48)       0           conv3_block1_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_2_conv (Conv1D)    (None, 49, 12)       5772        conv3_block1_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_concat (Concatenat (None, 49, 41)       0           pool2_pool[0][0]                 \n",
      "                                                                 conv3_block1_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_0_bn (BatchNormali (None, 49, 41)       164         conv3_block1_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_0_relu (Activation (None, 49, 41)       0           conv3_block2_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_1_conv (Conv1D)    (None, 49, 48)       9888        conv3_block2_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_1_bn (BatchNormali (None, 49, 48)       192         conv3_block2_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_1_relu (Activation (None, 49, 48)       0           conv3_block2_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_2_conv (Conv1D)    (None, 49, 12)       5772        conv3_block2_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_concat (Concatenat (None, 49, 53)       0           conv3_block1_concat[0][0]        \n",
      "                                                                 conv3_block2_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_0_bn (BatchNormali (None, 49, 53)       212         conv3_block2_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_0_relu (Activation (None, 49, 53)       0           conv3_block3_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_1_conv (Conv1D)    (None, 49, 48)       12768       conv3_block3_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_1_bn (BatchNormali (None, 49, 48)       192         conv3_block3_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_1_relu (Activation (None, 49, 48)       0           conv3_block3_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_2_conv (Conv1D)    (None, 49, 12)       5772        conv3_block3_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_concat (Concatenat (None, 49, 65)       0           conv3_block2_concat[0][0]        \n",
      "                                                                 conv3_block3_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_0_bn (BatchNormali (None, 49, 65)       260         conv3_block3_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_0_relu (Activation (None, 49, 65)       0           conv3_block4_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_1_conv (Conv1D)    (None, 49, 48)       15648       conv3_block4_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_1_bn (BatchNormali (None, 49, 48)       192         conv3_block4_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_1_relu (Activation (None, 49, 48)       0           conv3_block4_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_2_conv (Conv1D)    (None, 49, 12)       5772        conv3_block4_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_concat (Concatenat (None, 49, 77)       0           conv3_block3_concat[0][0]        \n",
      "                                                                 conv3_block4_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool3_bn (BatchNormalization)   (None, 49, 77)       308         conv3_block4_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool3_relu (Activation)         (None, 49, 77)       0           pool3_bn[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "pool3_conv (Conv1D)             (None, 49, 38)       2926        pool3_relu[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "pool3_pool (MaxPooling1D)       (None, 24, 38)       0           pool3_conv[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_0_bn (BatchNormali (None, 24, 38)       152         pool3_pool[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_0_relu (Activation (None, 24, 38)       0           conv4_block1_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_1_conv (Conv1D)    (None, 24, 48)       9168        conv4_block1_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_1_bn (BatchNormali (None, 24, 48)       192         conv4_block1_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_1_relu (Activation (None, 24, 48)       0           conv4_block1_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_2_conv (Conv1D)    (None, 24, 12)       5772        conv4_block1_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_concat (Concatenat (None, 24, 50)       0           pool3_pool[0][0]                 \n",
      "                                                                 conv4_block1_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_0_bn (BatchNormali (None, 24, 50)       200         conv4_block1_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_0_relu (Activation (None, 24, 50)       0           conv4_block2_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_1_conv (Conv1D)    (None, 24, 48)       12048       conv4_block2_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_1_bn (BatchNormali (None, 24, 48)       192         conv4_block2_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_1_relu (Activation (None, 24, 48)       0           conv4_block2_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_2_conv (Conv1D)    (None, 24, 12)       5772        conv4_block2_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_concat (Concatenat (None, 24, 62)       0           conv4_block1_concat[0][0]        \n",
      "                                                                 conv4_block2_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_0_bn (BatchNormali (None, 24, 62)       248         conv4_block2_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_0_relu (Activation (None, 24, 62)       0           conv4_block3_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_1_conv (Conv1D)    (None, 24, 48)       14928       conv4_block3_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_1_bn (BatchNormali (None, 24, 48)       192         conv4_block3_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_1_relu (Activation (None, 24, 48)       0           conv4_block3_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_2_conv (Conv1D)    (None, 24, 12)       5772        conv4_block3_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_concat (Concatenat (None, 24, 74)       0           conv4_block2_concat[0][0]        \n",
      "                                                                 conv4_block3_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_0_bn (BatchNormali (None, 24, 74)       296         conv4_block3_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_0_relu (Activation (None, 24, 74)       0           conv4_block4_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_1_conv (Conv1D)    (None, 24, 48)       17808       conv4_block4_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_1_bn (BatchNormali (None, 24, 48)       192         conv4_block4_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_1_relu (Activation (None, 24, 48)       0           conv4_block4_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_2_conv (Conv1D)    (None, 24, 12)       5772        conv4_block4_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_concat (Concatenat (None, 24, 86)       0           conv4_block3_concat[0][0]        \n",
      "                                                                 conv4_block4_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_0_bn (BatchNormali (None, 24, 86)       344         conv4_block4_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_0_relu (Activation (None, 24, 86)       0           conv4_block5_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_1_conv (Conv1D)    (None, 24, 48)       20688       conv4_block5_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_1_bn (BatchNormali (None, 24, 48)       192         conv4_block5_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_1_relu (Activation (None, 24, 48)       0           conv4_block5_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_2_conv (Conv1D)    (None, 24, 12)       5772        conv4_block5_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_concat (Concatenat (None, 24, 98)       0           conv4_block4_concat[0][0]        \n",
      "                                                                 conv4_block5_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_0_bn (BatchNormali (None, 24, 98)       392         conv4_block5_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_0_relu (Activation (None, 24, 98)       0           conv4_block6_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_1_conv (Conv1D)    (None, 24, 48)       23568       conv4_block6_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_1_bn (BatchNormali (None, 24, 48)       192         conv4_block6_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_1_relu (Activation (None, 24, 48)       0           conv4_block6_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_2_conv (Conv1D)    (None, 24, 12)       5772        conv4_block6_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_concat (Concatenat (None, 24, 110)      0           conv4_block5_concat[0][0]        \n",
      "                                                                 conv4_block6_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_0_bn (BatchNormali (None, 24, 110)      440         conv4_block6_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_0_relu (Activation (None, 24, 110)      0           conv4_block7_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_1_conv (Conv1D)    (None, 24, 48)       26448       conv4_block7_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_1_bn (BatchNormali (None, 24, 48)       192         conv4_block7_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_1_relu (Activation (None, 24, 48)       0           conv4_block7_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_2_conv (Conv1D)    (None, 24, 12)       5772        conv4_block7_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_concat (Concatenat (None, 24, 122)      0           conv4_block6_concat[0][0]        \n",
      "                                                                 conv4_block7_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_0_bn (BatchNormali (None, 24, 122)      488         conv4_block7_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_0_relu (Activation (None, 24, 122)      0           conv4_block8_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_1_conv (Conv1D)    (None, 24, 48)       29328       conv4_block8_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_1_bn (BatchNormali (None, 24, 48)       192         conv4_block8_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_1_relu (Activation (None, 24, 48)       0           conv4_block8_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_2_conv (Conv1D)    (None, 24, 12)       5772        conv4_block8_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_concat (Concatenat (None, 24, 134)      0           conv4_block7_concat[0][0]        \n",
      "                                                                 conv4_block8_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_0_bn (BatchNormali (None, 24, 134)      536         conv4_block8_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_0_relu (Activation (None, 24, 134)      0           conv4_block9_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_1_conv (Conv1D)    (None, 24, 48)       32208       conv4_block9_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_1_bn (BatchNormali (None, 24, 48)       192         conv4_block9_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_1_relu (Activation (None, 24, 48)       0           conv4_block9_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_2_conv (Conv1D)    (None, 24, 12)       5772        conv4_block9_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_concat (Concatenat (None, 24, 146)      0           conv4_block8_concat[0][0]        \n",
      "                                                                 conv4_block9_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_0_bn (BatchNormal (None, 24, 146)      584         conv4_block9_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_0_relu (Activatio (None, 24, 146)      0           conv4_block10_0_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_1_conv (Conv1D)   (None, 24, 48)       35088       conv4_block10_0_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_1_bn (BatchNormal (None, 24, 48)       192         conv4_block10_1_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_1_relu (Activatio (None, 24, 48)       0           conv4_block10_1_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_2_conv (Conv1D)   (None, 24, 12)       5772        conv4_block10_1_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_concat (Concatena (None, 24, 158)      0           conv4_block9_concat[0][0]        \n",
      "                                                                 conv4_block10_2_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_0_bn (BatchNormal (None, 24, 158)      632         conv4_block10_concat[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_0_relu (Activatio (None, 24, 158)      0           conv4_block11_0_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_1_conv (Conv1D)   (None, 24, 48)       37968       conv4_block11_0_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_1_bn (BatchNormal (None, 24, 48)       192         conv4_block11_1_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_1_relu (Activatio (None, 24, 48)       0           conv4_block11_1_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_2_conv (Conv1D)   (None, 24, 12)       5772        conv4_block11_1_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_concat (Concatena (None, 24, 170)      0           conv4_block10_concat[0][0]       \n",
      "                                                                 conv4_block11_2_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_0_bn (BatchNormal (None, 24, 170)      680         conv4_block11_concat[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_0_relu (Activatio (None, 24, 170)      0           conv4_block12_0_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_1_conv (Conv1D)   (None, 24, 48)       40848       conv4_block12_0_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_1_bn (BatchNormal (None, 24, 48)       192         conv4_block12_1_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_1_relu (Activatio (None, 24, 48)       0           conv4_block12_1_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_2_conv (Conv1D)   (None, 24, 12)       5772        conv4_block12_1_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_concat (Concatena (None, 24, 182)      0           conv4_block11_concat[0][0]       \n",
      "                                                                 conv4_block12_2_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "pool4_bn (BatchNormalization)   (None, 24, 182)      728         conv4_block12_concat[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "pool4_relu (Activation)         (None, 24, 182)      0           pool4_bn[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "pool4_conv (Conv1D)             (None, 24, 91)       16562       pool4_relu[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "pool4_pool (MaxPooling1D)       (None, 11, 91)       0           pool4_conv[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_0_bn (BatchNormali (None, 11, 91)       364         pool4_pool[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_0_relu (Activation (None, 11, 91)       0           conv5_block1_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_1_conv (Conv1D)    (None, 11, 48)       21888       conv5_block1_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_1_bn (BatchNormali (None, 11, 48)       192         conv5_block1_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_1_relu (Activation (None, 11, 48)       0           conv5_block1_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_2_conv (Conv1D)    (None, 11, 12)       5772        conv5_block1_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_concat (Concatenat (None, 11, 103)      0           pool4_pool[0][0]                 \n",
      "                                                                 conv5_block1_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_0_bn (BatchNormali (None, 11, 103)      412         conv5_block1_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_0_relu (Activation (None, 11, 103)      0           conv5_block2_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_1_conv (Conv1D)    (None, 11, 48)       24768       conv5_block2_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_1_bn (BatchNormali (None, 11, 48)       192         conv5_block2_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_1_relu (Activation (None, 11, 48)       0           conv5_block2_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_2_conv (Conv1D)    (None, 11, 12)       5772        conv5_block2_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_concat (Concatenat (None, 11, 115)      0           conv5_block1_concat[0][0]        \n",
      "                                                                 conv5_block2_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_0_bn (BatchNormali (None, 11, 115)      460         conv5_block2_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_0_relu (Activation (None, 11, 115)      0           conv5_block3_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_1_conv (Conv1D)    (None, 11, 48)       27648       conv5_block3_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_1_bn (BatchNormali (None, 11, 48)       192         conv5_block3_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_1_relu (Activation (None, 11, 48)       0           conv5_block3_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_2_conv (Conv1D)    (None, 11, 12)       5772        conv5_block3_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_concat (Concatenat (None, 11, 127)      0           conv5_block2_concat[0][0]        \n",
      "                                                                 conv5_block3_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_0_bn (BatchNormali (None, 11, 127)      508         conv5_block3_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_0_relu (Activation (None, 11, 127)      0           conv5_block4_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_1_conv (Conv1D)    (None, 11, 48)       30528       conv5_block4_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_1_bn (BatchNormali (None, 11, 48)       192         conv5_block4_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_1_relu (Activation (None, 11, 48)       0           conv5_block4_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_2_conv (Conv1D)    (None, 11, 12)       5772        conv5_block4_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_concat (Concatenat (None, 11, 139)      0           conv5_block3_concat[0][0]        \n",
      "                                                                 conv5_block4_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool5_bn (BatchNormalization)   (None, 11, 139)      556         conv5_block4_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool5_relu (Activation)         (None, 11, 139)      0           pool5_bn[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "pool5_conv (Conv1D)             (None, 11, 69)       9591        pool5_relu[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "pool5_pool (MaxPooling1D)       (None, 5, 69)        0           pool5_conv[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "avg_pool (GlobalAveragePooling1 (None, 69)           0           pool5_pool[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "fc (Dense)                      (None, 3)            210         avg_pool[0][0]                   \n",
      "==================================================================================================\n",
      "Total params: 661,399\n",
      "Trainable params: 654,215\n",
      "Non-trainable params: 7,184\n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.engine.training.Model at 0x7ff79436d5c0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# %run ./models/DCNNNet_concate_plus.ipynb\n",
    "# %run ./models/DCNNNet_concate_plus3.ipynb\n",
    "# %run ./models/DCNNNet_concate_new.ipynb\n",
    "\n",
    "\n",
    "%run ./models/DCNNNet_best1.ipynb\n",
    "\n",
    "# createModel(depth=101, input_shape=(x.shape[1],1), extension_rate=4, classes=data_classes )\n",
    "createModelNew(input_shape=(x.shape[1], data_chennal), extension_rate=12, classes=data_classes )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# traning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch:  0\n",
      "Learning rate:  0.01\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input (InputLayer)              (None, 100, 3)       0                                            \n",
      "__________________________________________________________________________________________________\n",
      "zero_padding1d_2 (ZeroPadding1D (None, 106, 3)       0           input[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "conv1/conv (Conv1D)             (None, 100, 10)      220         zero_padding1d_2[0][0]           \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_0_bn (BatchNormali (None, 100, 10)      40          conv1/conv[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_0_relu (Activation (None, 100, 10)      0           conv2_block1_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_1_conv (Conv1D)    (None, 100, 96)      4896        conv2_block1_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_1_bn (BatchNormali (None, 100, 96)      384         conv2_block1_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_1_relu (Activation (None, 100, 96)      0           conv2_block1_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_2_conv (Conv1D)    (None, 100, 24)      23064       conv2_block1_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_concat (Concatenat (None, 100, 34)      0           conv1/conv[0][0]                 \n",
      "                                                                 conv2_block1_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_0_bn (BatchNormali (None, 100, 34)      136         conv2_block1_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_0_relu (Activation (None, 100, 34)      0           conv2_block2_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_1_conv (Conv1D)    (None, 100, 96)      16416       conv2_block2_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_1_bn (BatchNormali (None, 100, 96)      384         conv2_block2_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_1_relu (Activation (None, 100, 96)      0           conv2_block2_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_2_conv (Conv1D)    (None, 100, 24)      23064       conv2_block2_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_concat (Concatenat (None, 100, 58)      0           conv2_block1_concat[0][0]        \n",
      "                                                                 conv2_block2_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_0_bn (BatchNormali (None, 100, 58)      232         conv2_block2_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_0_relu (Activation (None, 100, 58)      0           conv2_block3_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_1_conv (Conv1D)    (None, 100, 96)      27936       conv2_block3_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_1_bn (BatchNormali (None, 100, 96)      384         conv2_block3_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_1_relu (Activation (None, 100, 96)      0           conv2_block3_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_2_conv (Conv1D)    (None, 100, 24)      23064       conv2_block3_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_concat (Concatenat (None, 100, 82)      0           conv2_block2_concat[0][0]        \n",
      "                                                                 conv2_block3_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_0_bn (BatchNormali (None, 100, 82)      328         conv2_block3_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_0_relu (Activation (None, 100, 82)      0           conv2_block4_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_1_conv (Conv1D)    (None, 100, 96)      39456       conv2_block4_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_1_bn (BatchNormali (None, 100, 96)      384         conv2_block4_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_1_relu (Activation (None, 100, 96)      0           conv2_block4_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_2_conv (Conv1D)    (None, 100, 24)      23064       conv2_block4_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_concat (Concatenat (None, 100, 106)     0           conv2_block3_concat[0][0]        \n",
      "                                                                 conv2_block4_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool2_bn (BatchNormalization)   (None, 100, 106)     424         conv2_block4_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool2_relu (Activation)         (None, 100, 106)     0           pool2_bn[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "pool2_conv (Conv1D)             (None, 100, 53)      5618        pool2_relu[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "pool2_pool (MaxPooling1D)       (None, 49, 53)       0           pool2_conv[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_0_bn (BatchNormali (None, 49, 53)       212         pool2_pool[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_0_relu (Activation (None, 49, 53)       0           conv3_block1_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_1_conv (Conv1D)    (None, 49, 96)       25536       conv3_block1_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_1_bn (BatchNormali (None, 49, 96)       384         conv3_block1_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_1_relu (Activation (None, 49, 96)       0           conv3_block1_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_2_conv (Conv1D)    (None, 49, 24)       23064       conv3_block1_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_concat (Concatenat (None, 49, 77)       0           pool2_pool[0][0]                 \n",
      "                                                                 conv3_block1_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_0_bn (BatchNormali (None, 49, 77)       308         conv3_block1_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_0_relu (Activation (None, 49, 77)       0           conv3_block2_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_1_conv (Conv1D)    (None, 49, 96)       37056       conv3_block2_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_1_bn (BatchNormali (None, 49, 96)       384         conv3_block2_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_1_relu (Activation (None, 49, 96)       0           conv3_block2_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_2_conv (Conv1D)    (None, 49, 24)       23064       conv3_block2_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_concat (Concatenat (None, 49, 101)      0           conv3_block1_concat[0][0]        \n",
      "                                                                 conv3_block2_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_0_bn (BatchNormali (None, 49, 101)      404         conv3_block2_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_0_relu (Activation (None, 49, 101)      0           conv3_block3_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_1_conv (Conv1D)    (None, 49, 96)       48576       conv3_block3_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_1_bn (BatchNormali (None, 49, 96)       384         conv3_block3_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_1_relu (Activation (None, 49, 96)       0           conv3_block3_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_2_conv (Conv1D)    (None, 49, 24)       23064       conv3_block3_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_concat (Concatenat (None, 49, 125)      0           conv3_block2_concat[0][0]        \n",
      "                                                                 conv3_block3_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_0_bn (BatchNormali (None, 49, 125)      500         conv3_block3_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_0_relu (Activation (None, 49, 125)      0           conv3_block4_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_1_conv (Conv1D)    (None, 49, 96)       60096       conv3_block4_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_1_bn (BatchNormali (None, 49, 96)       384         conv3_block4_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_1_relu (Activation (None, 49, 96)       0           conv3_block4_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_2_conv (Conv1D)    (None, 49, 24)       23064       conv3_block4_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_concat (Concatenat (None, 49, 149)      0           conv3_block3_concat[0][0]        \n",
      "                                                                 conv3_block4_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool3_bn (BatchNormalization)   (None, 49, 149)      596         conv3_block4_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool3_relu (Activation)         (None, 49, 149)      0           pool3_bn[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "pool3_conv (Conv1D)             (None, 49, 74)       11026       pool3_relu[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "pool3_pool (MaxPooling1D)       (None, 24, 74)       0           pool3_conv[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_0_bn (BatchNormali (None, 24, 74)       296         pool3_pool[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_0_relu (Activation (None, 24, 74)       0           conv4_block1_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_1_conv (Conv1D)    (None, 24, 96)       35616       conv4_block1_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_1_bn (BatchNormali (None, 24, 96)       384         conv4_block1_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_1_relu (Activation (None, 24, 96)       0           conv4_block1_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block1_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_concat (Concatenat (None, 24, 98)       0           pool3_pool[0][0]                 \n",
      "                                                                 conv4_block1_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_0_bn (BatchNormali (None, 24, 98)       392         conv4_block1_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_0_relu (Activation (None, 24, 98)       0           conv4_block2_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_1_conv (Conv1D)    (None, 24, 96)       47136       conv4_block2_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_1_bn (BatchNormali (None, 24, 96)       384         conv4_block2_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_1_relu (Activation (None, 24, 96)       0           conv4_block2_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block2_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_concat (Concatenat (None, 24, 122)      0           conv4_block1_concat[0][0]        \n",
      "                                                                 conv4_block2_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_0_bn (BatchNormali (None, 24, 122)      488         conv4_block2_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_0_relu (Activation (None, 24, 122)      0           conv4_block3_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_1_conv (Conv1D)    (None, 24, 96)       58656       conv4_block3_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_1_bn (BatchNormali (None, 24, 96)       384         conv4_block3_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_1_relu (Activation (None, 24, 96)       0           conv4_block3_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block3_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_concat (Concatenat (None, 24, 146)      0           conv4_block2_concat[0][0]        \n",
      "                                                                 conv4_block3_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_0_bn (BatchNormali (None, 24, 146)      584         conv4_block3_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_0_relu (Activation (None, 24, 146)      0           conv4_block4_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_1_conv (Conv1D)    (None, 24, 96)       70176       conv4_block4_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_1_bn (BatchNormali (None, 24, 96)       384         conv4_block4_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_1_relu (Activation (None, 24, 96)       0           conv4_block4_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block4_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_concat (Concatenat (None, 24, 170)      0           conv4_block3_concat[0][0]        \n",
      "                                                                 conv4_block4_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_0_bn (BatchNormali (None, 24, 170)      680         conv4_block4_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_0_relu (Activation (None, 24, 170)      0           conv4_block5_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_1_conv (Conv1D)    (None, 24, 96)       81696       conv4_block5_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_1_bn (BatchNormali (None, 24, 96)       384         conv4_block5_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_1_relu (Activation (None, 24, 96)       0           conv4_block5_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block5_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_concat (Concatenat (None, 24, 194)      0           conv4_block4_concat[0][0]        \n",
      "                                                                 conv4_block5_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_0_bn (BatchNormali (None, 24, 194)      776         conv4_block5_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_0_relu (Activation (None, 24, 194)      0           conv4_block6_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_1_conv (Conv1D)    (None, 24, 96)       93216       conv4_block6_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_1_bn (BatchNormali (None, 24, 96)       384         conv4_block6_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_1_relu (Activation (None, 24, 96)       0           conv4_block6_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block6_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_concat (Concatenat (None, 24, 218)      0           conv4_block5_concat[0][0]        \n",
      "                                                                 conv4_block6_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_0_bn (BatchNormali (None, 24, 218)      872         conv4_block6_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_0_relu (Activation (None, 24, 218)      0           conv4_block7_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_1_conv (Conv1D)    (None, 24, 96)       104736      conv4_block7_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_1_bn (BatchNormali (None, 24, 96)       384         conv4_block7_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_1_relu (Activation (None, 24, 96)       0           conv4_block7_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block7_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_concat (Concatenat (None, 24, 242)      0           conv4_block6_concat[0][0]        \n",
      "                                                                 conv4_block7_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_0_bn (BatchNormali (None, 24, 242)      968         conv4_block7_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_0_relu (Activation (None, 24, 242)      0           conv4_block8_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_1_conv (Conv1D)    (None, 24, 96)       116256      conv4_block8_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_1_bn (BatchNormali (None, 24, 96)       384         conv4_block8_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_1_relu (Activation (None, 24, 96)       0           conv4_block8_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block8_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_concat (Concatenat (None, 24, 266)      0           conv4_block7_concat[0][0]        \n",
      "                                                                 conv4_block8_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_0_bn (BatchNormali (None, 24, 266)      1064        conv4_block8_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_0_relu (Activation (None, 24, 266)      0           conv4_block9_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_1_conv (Conv1D)    (None, 24, 96)       127776      conv4_block9_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_1_bn (BatchNormali (None, 24, 96)       384         conv4_block9_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_1_relu (Activation (None, 24, 96)       0           conv4_block9_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block9_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_concat (Concatenat (None, 24, 290)      0           conv4_block8_concat[0][0]        \n",
      "                                                                 conv4_block9_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_0_bn (BatchNormal (None, 24, 290)      1160        conv4_block9_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_0_relu (Activatio (None, 24, 290)      0           conv4_block10_0_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_1_conv (Conv1D)   (None, 24, 96)       139296      conv4_block10_0_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_1_bn (BatchNormal (None, 24, 96)       384         conv4_block10_1_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_1_relu (Activatio (None, 24, 96)       0           conv4_block10_1_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_2_conv (Conv1D)   (None, 24, 24)       23064       conv4_block10_1_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_concat (Concatena (None, 24, 314)      0           conv4_block9_concat[0][0]        \n",
      "                                                                 conv4_block10_2_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_0_bn (BatchNormal (None, 24, 314)      1256        conv4_block10_concat[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_0_relu (Activatio (None, 24, 314)      0           conv4_block11_0_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_1_conv (Conv1D)   (None, 24, 96)       150816      conv4_block11_0_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_1_bn (BatchNormal (None, 24, 96)       384         conv4_block11_1_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_1_relu (Activatio (None, 24, 96)       0           conv4_block11_1_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_2_conv (Conv1D)   (None, 24, 24)       23064       conv4_block11_1_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_concat (Concatena (None, 24, 338)      0           conv4_block10_concat[0][0]       \n",
      "                                                                 conv4_block11_2_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_0_bn (BatchNormal (None, 24, 338)      1352        conv4_block11_concat[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_0_relu (Activatio (None, 24, 338)      0           conv4_block12_0_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_1_conv (Conv1D)   (None, 24, 96)       162336      conv4_block12_0_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_1_bn (BatchNormal (None, 24, 96)       384         conv4_block12_1_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_1_relu (Activatio (None, 24, 96)       0           conv4_block12_1_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_2_conv (Conv1D)   (None, 24, 24)       23064       conv4_block12_1_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_concat (Concatena (None, 24, 362)      0           conv4_block11_concat[0][0]       \n",
      "                                                                 conv4_block12_2_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "pool4_bn (BatchNormalization)   (None, 24, 362)      1448        conv4_block12_concat[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "pool4_relu (Activation)         (None, 24, 362)      0           pool4_bn[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "pool4_conv (Conv1D)             (None, 24, 181)      65522       pool4_relu[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "pool4_pool (MaxPooling1D)       (None, 11, 181)      0           pool4_conv[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_0_bn (BatchNormali (None, 11, 181)      724         pool4_pool[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_0_relu (Activation (None, 11, 181)      0           conv5_block1_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_1_conv (Conv1D)    (None, 11, 96)       86976       conv5_block1_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_1_bn (BatchNormali (None, 11, 96)       384         conv5_block1_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_1_relu (Activation (None, 11, 96)       0           conv5_block1_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_2_conv (Conv1D)    (None, 11, 24)       23064       conv5_block1_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_concat (Concatenat (None, 11, 205)      0           pool4_pool[0][0]                 \n",
      "                                                                 conv5_block1_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_0_bn (BatchNormali (None, 11, 205)      820         conv5_block1_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_0_relu (Activation (None, 11, 205)      0           conv5_block2_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_1_conv (Conv1D)    (None, 11, 96)       98496       conv5_block2_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_1_bn (BatchNormali (None, 11, 96)       384         conv5_block2_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_1_relu (Activation (None, 11, 96)       0           conv5_block2_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_2_conv (Conv1D)    (None, 11, 24)       23064       conv5_block2_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_concat (Concatenat (None, 11, 229)      0           conv5_block1_concat[0][0]        \n",
      "                                                                 conv5_block2_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_0_bn (BatchNormali (None, 11, 229)      916         conv5_block2_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_0_relu (Activation (None, 11, 229)      0           conv5_block3_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_1_conv (Conv1D)    (None, 11, 96)       110016      conv5_block3_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_1_bn (BatchNormali (None, 11, 96)       384         conv5_block3_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_1_relu (Activation (None, 11, 96)       0           conv5_block3_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_2_conv (Conv1D)    (None, 11, 24)       23064       conv5_block3_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_concat (Concatenat (None, 11, 253)      0           conv5_block2_concat[0][0]        \n",
      "                                                                 conv5_block3_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_0_bn (BatchNormali (None, 11, 253)      1012        conv5_block3_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_0_relu (Activation (None, 11, 253)      0           conv5_block4_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_1_conv (Conv1D)    (None, 11, 96)       121536      conv5_block4_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_1_bn (BatchNormali (None, 11, 96)       384         conv5_block4_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_1_relu (Activation (None, 11, 96)       0           conv5_block4_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_2_conv (Conv1D)    (None, 11, 24)       23064       conv5_block4_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_concat (Concatenat (None, 11, 277)      0           conv5_block3_concat[0][0]        \n",
      "                                                                 conv5_block4_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool5_bn (BatchNormalization)   (None, 11, 277)      1108        conv5_block4_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool5_relu (Activation)         (None, 11, 277)      0           pool5_bn[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "pool5_conv (Conv1D)             (None, 11, 138)      38226       pool5_relu[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "pool5_pool (MaxPooling1D)       (None, 5, 138)       0           pool5_conv[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "avg_pool (GlobalAveragePooling1 (None, 138)          0           pool5_pool[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "fc (Dense)                      (None, 3)            417         avg_pool[0][0]                   \n",
      "==================================================================================================\n",
      "Total params: 2,567,581\n",
      "Trainable params: 2,553,425\n",
      "Non-trainable params: 14,156\n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 1440 samples, validate on 720 samples\n",
      "Epoch 1/600\n",
      "epoch:  0\n",
      "Learning rate:  0.01\n",
      "epoch:  0\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 24s 17ms/step - loss: 0.2913 - acc: 0.9042 - prec: 0.9099 - recall: 0.9556 - prec_1: 0.9038 - recall_1: 0.8833 - prec_2: 0.9238 - recall_2: 0.8571 - f1_m: 0.8875 - recall_m: 0.8722 - precision_m: 0.9103 - val_loss: 0.3884 - val_acc: 0.7958 - val_prec: 0.3556 - val_recall: 0.1630 - val_prec_1: 0.3894 - val_recall_1: 0.4125 - val_prec_2: 0.3658 - val_recall_2: 0.3764 - val_f1_m: 0.7974 - val_recall_m: 0.7958 - val_precision_m: 0.7990\n",
      "Epoch 2/600\n",
      "epoch:  1\n",
      "Learning rate:  0.01\n",
      "epoch:  1\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.1128 - acc: 0.9694 - prec: 0.9484 - recall: 0.9740 - prec_1: 0.9645 - recall_1: 0.9607 - prec_2: 0.9956 - recall_2: 0.9842 - f1_m: 0.9701 - recall_m: 0.9694 - precision_m: 0.9708 - val_loss: 0.3568 - val_acc: 0.8681 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.2819 - val_prec_2: 0.3550 - val_recall_2: 0.3764 - val_f1_m: 0.8681 - val_recall_m: 0.8681 - val_precision_m: 0.8681\n",
      "Epoch 3/600\n",
      "epoch:  2\n",
      "Learning rate:  0.01\n",
      "epoch:  2\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0506 - acc: 0.9806 - prec: 0.9913 - recall: 0.9742 - prec_1: 0.9631 - recall_1: 0.9925 - prec_2: 0.9959 - recall_2: 0.9877 - f1_m: 0.9802 - recall_m: 0.9792 - precision_m: 0.9812 - val_loss: 0.0271 - val_acc: 0.9958 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4389 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9958 - val_recall_m: 0.9958 - val_precision_m: 0.9958\n",
      "Epoch 4/600\n",
      "epoch:  3\n",
      "Learning rate:  0.01\n",
      "epoch:  3\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0370 - acc: 0.9924 - prec: 0.9901 - recall: 0.9986 - prec_1: 0.9892 - recall_1: 0.9908 - prec_2: 0.9968 - recall_2: 0.9873 - f1_m: 0.9920 - recall_m: 0.9917 - precision_m: 0.9924 - val_loss: 0.0305 - val_acc: 0.9944 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4375 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9944 - val_recall_m: 0.9944 - val_precision_m: 0.9944\n",
      "Epoch 5/600\n",
      "epoch:  4\n",
      "Learning rate:  0.01\n",
      "epoch:  4\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0195 - acc: 0.9938 - prec: 0.9944 - recall: 1.0000 - prec_1: 0.9929 - recall_1: 0.9899 - prec_2: 0.9915 - recall_2: 0.9944 - f1_m: 0.9934 - recall_m: 0.9931 - precision_m: 0.9937 - val_loss: 0.0070 - val_acc: 0.9972 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4417 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9972 - val_recall_m: 0.9972 - val_precision_m: 0.9972\n",
      "Epoch 6/600\n",
      "epoch:  5\n",
      "Learning rate:  0.01\n",
      "epoch:  5\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0141 - acc: 0.9958 - prec: 1.0000 - recall: 0.9981 - prec_1: 0.9846 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9908 - f1_m: 0.9958 - recall_m: 0.9958 - precision_m: 0.9958 - val_loss: 0.0089 - val_acc: 0.9958 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4389 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9972 - val_recall_m: 0.9958 - val_precision_m: 0.9986\n",
      "Epoch 7/600\n",
      "epoch:  6\n",
      "Learning rate:  0.01\n",
      "epoch:  6\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0132 - acc: 0.9944 - prec: 0.9924 - recall: 1.0000 - prec_1: 0.9955 - recall_1: 0.9928 - prec_2: 0.9922 - recall_2: 0.9928 - f1_m: 0.9948 - recall_m: 0.9944 - precision_m: 0.9951 - val_loss: 0.0046 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9979 - val_recall_m: 0.9972 - val_precision_m: 0.9986\n",
      "Epoch 8/600\n",
      "epoch:  7\n",
      "Learning rate:  0.01\n",
      "epoch:  7\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0111 - acc: 0.9972 - prec: 0.9974 - recall: 1.0000 - prec_1: 0.9916 - recall_1: 0.9986 - prec_2: 1.0000 - recall_2: 0.9947 - f1_m: 0.9972 - recall_m: 0.9965 - precision_m: 0.9979 - val_loss: 0.0045 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4417 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 9/600\n",
      "epoch:  8\n",
      "Learning rate:  0.01\n",
      "epoch:  8\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0033 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9978 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9982 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0026 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 10/600\n",
      "epoch:  9\n",
      "Learning rate:  0.01\n",
      "epoch:  9\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0020 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9978 - prec_2: 0.9980 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0016 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 11/600\n",
      "epoch:  10\n",
      "Learning rate:  0.01\n",
      "epoch:  10\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0029 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9985 - prec_2: 0.9972 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0011 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 12/600\n",
      "epoch:  11\n",
      "Learning rate:  0.01\n",
      "epoch:  11\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0033 - acc: 0.9993 - prec: 1.0000 - recall: 0.9983 - prec_1: 0.9968 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 0.9990 - recall_m: 0.9986 - precision_m: 0.9993 - val_loss: 8.9479e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 13/600\n",
      "epoch:  12\n",
      "Learning rate:  0.01\n",
      "epoch:  12\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0086 - acc: 0.9972 - prec: 0.9972 - recall: 1.0000 - prec_1: 0.9979 - recall_1: 0.9967 - prec_2: 0.9941 - recall_2: 0.9967 - f1_m: 0.9972 - recall_m: 0.9972 - precision_m: 0.9972 - val_loss: 0.0032 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4417 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 0.9993 - val_recall_m: 0.9986 - val_precision_m: 1.0000\n",
      "Epoch 14/600\n",
      "epoch:  13\n",
      "Learning rate:  0.01\n",
      "epoch:  13\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0020 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0018 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 15/600\n",
      "epoch:  14\n",
      "Learning rate:  0.01\n",
      "epoch:  14\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0017 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9968 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9978 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 8.9924e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 16/600\n",
      "epoch:  15\n",
      "Learning rate:  0.01\n",
      "epoch:  15\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0011 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0018 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 17/600\n",
      "epoch:  16\n",
      "Learning rate:  0.01\n",
      "epoch:  16\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.8265e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0011 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 18/600\n",
      "epoch:  17\n",
      "Learning rate:  0.01\n",
      "epoch:  17\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0024 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9981 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9968 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 6.3104e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 19/600\n",
      "epoch:  18\n",
      "Learning rate:  0.01\n",
      "epoch:  18\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.8181e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0011 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 20/600\n",
      "epoch:  19\n",
      "Learning rate:  0.01\n",
      "epoch:  19\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.7110e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 8.3657e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 21/600\n",
      "epoch:  20\n",
      "Learning rate:  0.01\n",
      "epoch:  20\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7302e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.7487e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 22/600\n",
      "epoch:  21\n",
      "Learning rate:  0.01\n",
      "epoch:  21\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.1939e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.5667e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 23/600\n",
      "epoch:  22\n",
      "Learning rate:  0.01\n",
      "epoch:  22\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.7607e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.2660e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 24/600\n",
      "epoch:  23\n",
      "Learning rate:  0.01\n",
      "epoch:  23\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.9535e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 3.2104e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 25/600\n",
      "epoch:  24\n",
      "Learning rate:  0.01\n",
      "epoch:  24\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.2935e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7126e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 26/600\n",
      "epoch:  25\n",
      "Learning rate:  0.01\n",
      "epoch:  25\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.0636e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6670e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 27/600\n",
      "epoch:  26\n",
      "Learning rate:  0.01\n",
      "epoch:  26\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.2089e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2905e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 28/600\n",
      "epoch:  27\n",
      "Learning rate:  0.01\n",
      "epoch:  27\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5250e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.8737e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 29/600\n",
      "epoch:  28\n",
      "Learning rate:  0.01\n",
      "epoch:  28\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.6879e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.4175e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 30/600\n",
      "epoch:  29\n",
      "Learning rate:  0.01\n",
      "epoch:  29\n",
      "Learning rate:  0.01\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.2492e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.1799e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 31/600\n",
      "epoch:  30\n",
      "Learning rate:  0.01\n",
      "epoch:  30\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.2688e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.0943e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 32/600\n",
      "epoch:  31\n",
      "Learning rate:  0.01\n",
      "epoch:  31\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4099e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 9.4264e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 33/600\n",
      "epoch:  32\n",
      "Learning rate:  0.01\n",
      "epoch:  32\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0012 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9985 - prec_2: 0.9956 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 1.5461e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 34/600\n",
      "epoch:  33\n",
      "Learning rate:  0.01\n",
      "epoch:  33\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4964e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 3.7747e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 35/600\n",
      "epoch:  34\n",
      "Learning rate:  0.01\n",
      "epoch:  34\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.2967e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.7862e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 36/600\n",
      "epoch:  35\n",
      "Learning rate:  0.01\n",
      "epoch:  35\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.0164e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.9649e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 37/600\n",
      "epoch:  36\n",
      "Learning rate:  0.01\n",
      "epoch:  36\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.1871e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.8920e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 38/600\n",
      "epoch:  37\n",
      "Learning rate:  0.01\n",
      "epoch:  37\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.0390e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.3278e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 39/600\n",
      "epoch:  38\n",
      "Learning rate:  0.01\n",
      "epoch:  38\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0031 - acc: 0.9986 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9932 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9977 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 0.0011 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 40/600\n",
      "epoch:  39\n",
      "Learning rate:  0.01\n",
      "epoch:  39\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0016 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9981 - prec_2: 0.9975 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 9.5574e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 41/600\n",
      "epoch:  40\n",
      "Learning rate:  0.01\n",
      "epoch:  40\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0025 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9978 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9979 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 1.6486e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 42/600\n",
      "epoch:  41\n",
      "Learning rate:  0.01\n",
      "epoch:  41\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.3554e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.8892e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 43/600\n",
      "epoch:  42\n",
      "Learning rate:  0.01\n",
      "epoch:  42\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0021 - acc: 0.9986 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9972 - recall_1: 0.9984 - prec_2: 0.9970 - recall_2: 0.9985 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 1.6857e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 44/600\n",
      "epoch:  43\n",
      "Learning rate:  0.01\n",
      "epoch:  43\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.0483e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.9832e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 45/600\n",
      "epoch:  44\n",
      "Learning rate:  0.01\n",
      "epoch:  44\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.6139e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.6602e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 46/600\n",
      "epoch:  45\n",
      "Learning rate:  0.01\n",
      "epoch:  45\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.6827e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.7167e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 47/600\n",
      "epoch:  46\n",
      "Learning rate:  0.01\n",
      "epoch:  46\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4265e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.7424e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 48/600\n",
      "epoch:  47\n",
      "Learning rate:  0.01\n",
      "epoch:  47\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.8010e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.3387e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 49/600\n",
      "epoch:  48\n",
      "Learning rate:  0.01\n",
      "epoch:  48\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.0877e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.5460e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 50/600\n",
      "epoch:  49\n",
      "Learning rate:  0.01\n",
      "epoch:  49\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0022 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9972 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9979 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 9.6651e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 51/600\n",
      "epoch:  50\n",
      "Learning rate:  0.01\n",
      "epoch:  50\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8608e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.3068e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 52/600\n",
      "epoch:  51\n",
      "Learning rate:  0.01\n",
      "epoch:  51\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4170e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.3656e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 53/600\n",
      "epoch:  52\n",
      "Learning rate:  0.01\n",
      "epoch:  52\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.0794e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.3100e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 54/600\n",
      "epoch:  53\n",
      "Learning rate:  0.01\n",
      "epoch:  53\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.2869e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.2462e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 55/600\n",
      "epoch:  54\n",
      "Learning rate:  0.01\n",
      "epoch:  54\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.8499e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 7.9674e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 56/600\n",
      "epoch:  55\n",
      "Learning rate:  0.01\n",
      "epoch:  55\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.3425e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 7.4050e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 57/600\n",
      "epoch:  56\n",
      "Learning rate:  0.01\n",
      "epoch:  56\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.9933e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 7.2821e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 58/600\n",
      "epoch:  57\n",
      "Learning rate:  0.01\n",
      "epoch:  57\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0067 - acc: 0.9986 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9968 - recall_1: 0.9981 - prec_2: 0.9944 - recall_2: 0.9981 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 1.9811e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 59/600\n",
      "epoch:  58\n",
      "Learning rate:  0.01\n",
      "epoch:  58\n",
      "Learning rate:  0.01\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0252 - acc: 0.9938 - prec: 0.9836 - recall: 1.0000 - prec_1: 0.9982 - recall_1: 0.9930 - prec_2: 0.9972 - recall_2: 0.9892 - f1_m: 0.9937 - recall_m: 0.9938 - precision_m: 0.9938 - val_loss: 0.0796 - val_acc: 0.9944 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4306 - val_prec_2: 0.3702 - val_recall_2: 0.3778 - val_f1_m: 0.9937 - val_recall_m: 0.9931 - val_precision_m: 0.9944\n",
      "Epoch 60/600\n",
      "epoch:  59\n",
      "Learning rate:  0.01\n",
      "epoch:  59\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0062 - acc: 0.9972 - prec: 0.9972 - recall: 1.0000 - prec_1: 0.9940 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9911 - f1_m: 0.9969 - recall_m: 0.9965 - precision_m: 0.9972 - val_loss: 0.0054 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4417 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 0.9986 - val_recall_m: 0.9972 - val_precision_m: 1.0000\n",
      "Epoch 61/600\n",
      "epoch:  60\n",
      "Learning rate:  0.01\n",
      "epoch:  60\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0013 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0020 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 62/600\n",
      "epoch:  61\n",
      "Learning rate:  0.01\n",
      "epoch:  61\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0022 - acc: 0.9993 - prec: 0.9970 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9986 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 7.0829e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 63/600\n",
      "epoch:  62\n",
      "Learning rate:  0.01\n",
      "epoch:  62\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.7185e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.9053e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 64/600\n",
      "epoch:  63\n",
      "Learning rate:  0.01\n",
      "epoch:  63\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0016 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9975 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9984 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 8.7773e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 65/600\n",
      "epoch:  64\n",
      "Learning rate:  0.01\n",
      "epoch:  64\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.9538e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0025 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4417 - val_prec_2: 0.3751 - val_recall_2: 0.3778 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 66/600\n",
      "epoch:  65\n",
      "Learning rate:  0.01\n",
      "epoch:  65\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.8604e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0011 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 67/600\n",
      "epoch:  66\n",
      "Learning rate:  0.01\n",
      "epoch:  66\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.8733e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 5.2170e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 68/600\n",
      "epoch:  67\n",
      "Learning rate:  0.01\n",
      "epoch:  67\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.7098e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 7.4082e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 69/600\n",
      "epoch:  68\n",
      "Learning rate:  0.01\n",
      "epoch:  68\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0022 - acc: 0.9986 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9966 - recall_1: 0.9977 - prec_2: 0.9981 - recall_2: 0.9985 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 3.2508e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 70/600\n",
      "epoch:  69\n",
      "Learning rate:  0.01\n",
      "epoch:  69\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.9070e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.3674e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 71/600\n",
      "epoch:  70\n",
      "Learning rate:  0.01\n",
      "epoch:  70\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5357e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.0651e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 72/600\n",
      "epoch:  71\n",
      "Learning rate:  0.01\n",
      "epoch:  71\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.3462e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.0587e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 73/600\n",
      "epoch:  72\n",
      "Learning rate:  0.01\n",
      "epoch:  72\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.8953e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.0324e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 74/600\n",
      "epoch:  73\n",
      "Learning rate:  0.01\n",
      "epoch:  73\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5317e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 9.9169e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 75/600\n",
      "epoch:  74\n",
      "Learning rate:  0.01\n",
      "epoch:  74\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.0763e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.1148e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 76/600\n",
      "epoch:  75\n",
      "Learning rate:  0.01\n",
      "epoch:  75\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7031e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 9.8394e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 77/600\n",
      "epoch:  76\n",
      "Learning rate:  0.01\n",
      "epoch:  76\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.2131e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.2002e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 78/600\n",
      "epoch:  77\n",
      "Learning rate:  0.01\n",
      "epoch:  77\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.8896e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.1143e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 79/600\n",
      "epoch:  78\n",
      "Learning rate:  0.01\n",
      "epoch:  78\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.4936e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.0595e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 80/600\n",
      "epoch:  79\n",
      "Learning rate:  0.01\n",
      "epoch:  79\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7187e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 9.3095e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 81/600\n",
      "epoch:  80\n",
      "Learning rate:  0.01\n",
      "epoch:  80\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.6665e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 9.4692e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 82/600\n",
      "epoch:  81\n",
      "Learning rate:  0.01\n",
      "epoch:  81\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4371e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.7249e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 83/600\n",
      "epoch:  82\n",
      "Learning rate:  0.01\n",
      "epoch:  82\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.1413e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.7248e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 84/600\n",
      "epoch:  83\n",
      "Learning rate:  0.01\n",
      "epoch:  83\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.1864e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.9170e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 85/600\n",
      "epoch:  84\n",
      "Learning rate:  0.01\n",
      "epoch:  84\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.8099e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.6082e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 86/600\n",
      "epoch:  85\n",
      "Learning rate:  0.01\n",
      "epoch:  85\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.0466e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0013 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4417 - val_prec_2: 0.3751 - val_recall_2: 0.3778 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 87/600\n",
      "epoch:  86\n",
      "Learning rate:  0.01\n",
      "epoch:  86\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7776e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 8.8261e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 88/600\n",
      "epoch:  87\n",
      "Learning rate:  0.01\n",
      "epoch:  87\n",
      "Learning rate:  0.01\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0011 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9978 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9981 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.1569e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 89/600\n",
      "epoch:  88\n",
      "Learning rate:  0.01\n",
      "epoch:  88\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.7561e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5945e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 90/600\n",
      "epoch:  89\n",
      "Learning rate:  0.01\n",
      "epoch:  89\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0018 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9972 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9974 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0011 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 91/600\n",
      "epoch:  90\n",
      "Learning rate:  0.01\n",
      "epoch:  90\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.8952e-04 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9985 - prec_2: 0.9972 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 3.8123e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 92/600\n",
      "epoch:  91\n",
      "Learning rate:  0.01\n",
      "epoch:  91\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.0820e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.7081e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 93/600\n",
      "epoch:  92\n",
      "Learning rate:  0.01\n",
      "epoch:  92\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.8161e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 3.7555e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 94/600\n",
      "epoch:  93\n",
      "Learning rate:  0.01\n",
      "epoch:  93\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8640e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.9160e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 95/600\n",
      "epoch:  94\n",
      "Learning rate:  0.01\n",
      "epoch:  94\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.4300e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.3351e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 96/600\n",
      "epoch:  95\n",
      "Learning rate:  0.01\n",
      "epoch:  95\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.4265e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.2114e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 97/600\n",
      "epoch:  96\n",
      "Learning rate:  0.01\n",
      "epoch:  96\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.7603e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.1481e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 98/600\n",
      "epoch:  97\n",
      "Learning rate:  0.01\n",
      "epoch:  97\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4734e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0011 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4417 - val_prec_2: 0.3751 - val_recall_2: 0.3778 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 99/600\n",
      "epoch:  98\n",
      "Learning rate:  0.01\n",
      "epoch:  98\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.2438e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0011 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4417 - val_prec_2: 0.3751 - val_recall_2: 0.3778 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 100/600\n",
      "epoch:  99\n",
      "Learning rate:  0.01\n",
      "epoch:  99\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.6175e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.9815e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 101/600\n",
      "epoch:  100\n",
      "Learning rate:  0.01\n",
      "epoch:  100\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.4421e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 3.7990e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 102/600\n",
      "epoch:  101\n",
      "Learning rate:  0.01\n",
      "epoch:  101\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.2598e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 3.8033e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 103/600\n",
      "epoch:  102\n",
      "Learning rate:  0.01\n",
      "epoch:  102\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.9151e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 3.6318e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 104/600\n",
      "epoch:  103\n",
      "Learning rate:  0.01\n",
      "epoch:  103\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.0948e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.9906e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 105/600\n",
      "epoch:  104\n",
      "Learning rate:  0.01\n",
      "epoch:  104\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.9645e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5106e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 106/600\n",
      "epoch:  105\n",
      "Learning rate:  0.01\n",
      "epoch:  105\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.2634e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.1128e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 107/600\n",
      "epoch:  106\n",
      "Learning rate:  0.01\n",
      "epoch:  106\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.8673e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.5623e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 108/600\n",
      "epoch:  107\n",
      "Learning rate:  0.01\n",
      "epoch:  107\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.5131e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.2930e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 109/600\n",
      "epoch:  108\n",
      "Learning rate:  0.01\n",
      "epoch:  108\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.9446e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.1589e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 110/600\n",
      "epoch:  109\n",
      "Learning rate:  0.01\n",
      "epoch:  109\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.9229e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 1.1173e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 111/600\n",
      "epoch:  110\n",
      "Learning rate:  0.01\n",
      "epoch:  110\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.6500e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 9.8683e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 112/600\n",
      "epoch:  111\n",
      "Learning rate:  0.01\n",
      "epoch:  111\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.1934e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 8.9577e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 113/600\n",
      "epoch:  112\n",
      "Learning rate:  0.01\n",
      "epoch:  112\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.7898e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 8.1422e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 114/600\n",
      "epoch:  113\n",
      "Learning rate:  0.01\n",
      "epoch:  113\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.8674e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 7.4380e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 115/600\n",
      "epoch:  114\n",
      "Learning rate:  0.01\n",
      "epoch:  114\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.3368e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.9671e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 116/600\n",
      "epoch:  115\n",
      "Learning rate:  0.01\n",
      "epoch:  115\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.3850e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 5.3809e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 117/600\n",
      "epoch:  116\n",
      "Learning rate:  0.01\n",
      "epoch:  116\n",
      "Learning rate:  0.01\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.9102e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 5.8276e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 118/600\n",
      "epoch:  117\n",
      "Learning rate:  0.01\n",
      "epoch:  117\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5042e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.2094e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 119/600\n",
      "epoch:  118\n",
      "Learning rate:  0.01\n",
      "epoch:  118\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.2799e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.4008e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 120/600\n",
      "epoch:  119\n",
      "Learning rate:  0.01\n",
      "epoch:  119\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.3208e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.5986e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 121/600\n",
      "epoch:  120\n",
      "Learning rate:  0.01\n",
      "epoch:  120\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.9287e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.5834e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 122/600\n",
      "epoch:  121\n",
      "Learning rate:  0.01\n",
      "epoch:  121\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.2060e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.6139e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 123/600\n",
      "epoch:  122\n",
      "Learning rate:  0.01\n",
      "epoch:  122\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.7599e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.8329e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 124/600\n",
      "epoch:  123\n",
      "Learning rate:  0.01\n",
      "epoch:  123\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.8514e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.6497e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 125/600\n",
      "epoch:  124\n",
      "Learning rate:  0.01\n",
      "epoch:  124\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.7076e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.7708e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 126/600\n",
      "epoch:  125\n",
      "Learning rate:  0.01\n",
      "epoch:  125\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4549e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.8258e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 127/600\n",
      "epoch:  126\n",
      "Learning rate:  0.01\n",
      "epoch:  126\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.7005e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.0877e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 128/600\n",
      "epoch:  127\n",
      "Learning rate:  0.01\n",
      "epoch:  127\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0018 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9985 - prec_2: 0.9944 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 7.3409e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 129/600\n",
      "epoch:  128\n",
      "Learning rate:  0.01\n",
      "epoch:  128\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.5981e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.9549e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 130/600\n",
      "epoch:  129\n",
      "Learning rate:  0.01\n",
      "epoch:  129\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.6879e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 7.4543e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 131/600\n",
      "epoch:  130\n",
      "Learning rate:  0.01\n",
      "epoch:  130\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.2119e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 7.1634e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 132/600\n",
      "epoch:  131\n",
      "Learning rate:  0.01\n",
      "epoch:  131\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.7667e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.8806e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 133/600\n",
      "epoch:  132\n",
      "Learning rate:  0.01\n",
      "epoch:  132\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.0525e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.3168e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 134/600\n",
      "epoch:  133\n",
      "Learning rate:  0.01\n",
      "epoch:  133\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.4304e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.8319e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 135/600\n",
      "epoch:  134\n",
      "Learning rate:  0.01\n",
      "epoch:  134\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.3706e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.5720e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 136/600\n",
      "epoch:  135\n",
      "Learning rate:  0.01\n",
      "epoch:  135\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.8598e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.0019e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 137/600\n",
      "epoch:  136\n",
      "Learning rate:  0.01\n",
      "epoch:  136\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.3242e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.2153e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 138/600\n",
      "epoch:  137\n",
      "Learning rate:  0.01\n",
      "epoch:  137\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.1551e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 3.9133e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 139/600\n",
      "epoch:  138\n",
      "Learning rate:  0.01\n",
      "epoch:  138\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.5605e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.0016e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 140/600\n",
      "epoch:  139\n",
      "Learning rate:  0.01\n",
      "epoch:  139\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.3584e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.1303e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 141/600\n",
      "epoch:  140\n",
      "Learning rate:  0.01\n",
      "epoch:  140\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.8863e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.0560e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 142/600\n",
      "epoch:  141\n",
      "Learning rate:  0.01\n",
      "epoch:  141\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.9070e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.2117e-05 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 143/600\n",
      "epoch:  142\n",
      "Learning rate:  0.01\n",
      "epoch:  142\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0118 - acc: 0.9972 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9937 - prec_2: 0.9889 - recall_2: 1.0000 - f1_m: 0.9972 - recall_m: 0.9972 - precision_m: 0.9972 - val_loss: 0.0044 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 144/600\n",
      "epoch:  143\n",
      "Learning rate:  0.01\n",
      "epoch:  143\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0254 - acc: 0.9938 - prec: 0.9948 - recall: 1.0000 - prec_1: 0.9882 - recall_1: 0.9948 - prec_2: 0.9981 - recall_2: 0.9884 - f1_m: 0.9941 - recall_m: 0.9938 - precision_m: 0.9944 - val_loss: 0.1700 - val_acc: 0.9083 - val_prec: 0.3556 - val_recall: 0.2639 - val_prec_1: 0.4124 - val_recall_1: 0.4431 - val_prec_2: 0.3778 - val_recall_2: 0.3750 - val_f1_m: 0.9083 - val_recall_m: 0.9083 - val_precision_m: 0.9083\n",
      "Epoch 145/600\n",
      "epoch:  144\n",
      "Learning rate:  0.01\n",
      "epoch:  144\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0163 - acc: 0.9958 - prec: 1.0000 - recall: 0.9901 - prec_1: 0.9961 - recall_1: 1.0000 - prec_2: 0.9923 - recall_2: 0.9964 - f1_m: 0.9958 - recall_m: 0.9958 - precision_m: 0.9958 - val_loss: 0.0040 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 146/600\n",
      "epoch:  145\n",
      "Learning rate:  0.01\n",
      "epoch:  145\n",
      "Learning rate:  0.01\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0072 - acc: 0.9979 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9981 - recall_1: 0.9966 - prec_2: 0.9954 - recall_2: 0.9972 - f1_m: 0.9979 - recall_m: 0.9979 - precision_m: 0.9979 - val_loss: 0.0049 - val_acc: 0.9972 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3750 - val_f1_m: 0.9972 - val_recall_m: 0.9972 - val_precision_m: 0.9972\n",
      "Epoch 147/600\n",
      "epoch:  146\n",
      "Learning rate:  0.01\n",
      "epoch:  146\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0015 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0037 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 148/600\n",
      "epoch:  147\n",
      "Learning rate:  0.01\n",
      "epoch:  147\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0058 - acc: 0.9979 - prec: 0.9972 - recall: 1.0000 - prec_1: 0.9958 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9944 - f1_m: 0.9979 - recall_m: 0.9979 - precision_m: 0.9979 - val_loss: 0.0028 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4431 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 0.9993 - val_recall_m: 0.9986 - val_precision_m: 1.0000\n",
      "Epoch 149/600\n",
      "epoch:  148\n",
      "Learning rate:  0.01\n",
      "epoch:  148\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0038 - acc: 0.9979 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9966 - recall_1: 0.9963 - prec_2: 0.9956 - recall_2: 0.9987 - f1_m: 0.9979 - recall_m: 0.9979 - precision_m: 0.9979 - val_loss: 0.0018 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 150/600\n",
      "epoch:  149\n",
      "Learning rate:  0.01\n",
      "epoch:  149\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.3864e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0017 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 151/600\n",
      "epoch:  150\n",
      "Learning rate:  0.01\n",
      "epoch:  150\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.4176e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0014 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 152/600\n",
      "epoch:  151\n",
      "Learning rate:  0.001\n",
      "epoch:  151\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.4148e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0012 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 153/600\n",
      "epoch:  152\n",
      "Learning rate:  0.001\n",
      "epoch:  152\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0013 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9970 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9983 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0011 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 154/600\n",
      "epoch:  153\n",
      "Learning rate:  0.001\n",
      "epoch:  153\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.4417e-04 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9970 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9980 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 9.5982e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 155/600\n",
      "epoch:  154\n",
      "Learning rate:  0.001\n",
      "epoch:  154\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0014 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 8.6607e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 156/600\n",
      "epoch:  155\n",
      "Learning rate:  0.001\n",
      "epoch:  155\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.4189e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 8.1949e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 157/600\n",
      "epoch:  156\n",
      "Learning rate:  0.001\n",
      "epoch:  156\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0018 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9974 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9980 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 7.6570e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 158/600\n",
      "epoch:  157\n",
      "Learning rate:  0.001\n",
      "epoch:  157\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0011 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 7.2814e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 159/600\n",
      "epoch:  158\n",
      "Learning rate:  0.001\n",
      "epoch:  158\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0024 - acc: 0.9979 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9974 - recall_1: 0.9965 - prec_2: 0.9955 - recall_2: 0.9985 - f1_m: 0.9979 - recall_m: 0.9979 - precision_m: 0.9979 - val_loss: 6.7572e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 160/600\n",
      "epoch:  159\n",
      "Learning rate:  0.001\n",
      "epoch:  159\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0017 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9977 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9985 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 6.1481e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 161/600\n",
      "epoch:  160\n",
      "Learning rate:  0.001\n",
      "epoch:  160\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0015 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9984 - prec_2: 0.9977 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 5.7608e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 162/600\n",
      "epoch:  161\n",
      "Learning rate:  0.001\n",
      "epoch:  161\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0041 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9970 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9979 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 5.7726e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 163/600\n",
      "epoch:  162\n",
      "Learning rate:  0.001\n",
      "epoch:  162\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0028 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9981 - prec_2: 0.9983 - recall_2: 1.0000 - f1_m: 0.9990 - recall_m: 0.9986 - precision_m: 0.9993 - val_loss: 6.1461e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 164/600\n",
      "epoch:  163\n",
      "Learning rate:  0.001\n",
      "epoch:  163\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.5014e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.6583e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 165/600\n",
      "epoch:  164\n",
      "Learning rate:  0.001\n",
      "epoch:  164\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.1687e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.4857e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 166/600\n",
      "epoch:  165\n",
      "Learning rate:  0.001\n",
      "epoch:  165\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0011 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.2818e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 167/600\n",
      "epoch:  166\n",
      "Learning rate:  0.001\n",
      "epoch:  166\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0010 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9978 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9981 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 6.2442e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 168/600\n",
      "epoch:  167\n",
      "Learning rate:  0.001\n",
      "epoch:  167\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0015 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9975 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9984 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 6.2860e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 169/600\n",
      "epoch:  168\n",
      "Learning rate:  0.001\n",
      "epoch:  168\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.6878e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.2906e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 170/600\n",
      "epoch:  169\n",
      "Learning rate:  0.001\n",
      "epoch:  169\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.3983e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.2244e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 171/600\n",
      "epoch:  170\n",
      "Learning rate:  0.001\n",
      "epoch:  170\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.4197e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.2843e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 172/600\n",
      "epoch:  171\n",
      "Learning rate:  0.001\n",
      "epoch:  171\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.7846e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.1561e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 173/600\n",
      "epoch:  172\n",
      "Learning rate:  0.001\n",
      "epoch:  172\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0037 - acc: 0.9979 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9960 - prec_2: 0.9867 - recall_2: 1.0000 - f1_m: 0.9979 - recall_m: 0.9979 - precision_m: 0.9979 - val_loss: 6.0539e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 174/600\n",
      "epoch:  173\n",
      "Learning rate:  0.001\n",
      "epoch:  173\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5842e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.0161e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 175/600\n",
      "epoch:  174\n",
      "Learning rate:  0.001\n",
      "epoch:  174\n",
      "Learning rate:  0.001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.3870e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.0193e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 176/600\n",
      "epoch:  175\n",
      "Learning rate:  0.001\n",
      "epoch:  175\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.3749e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.0213e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 177/600\n",
      "epoch:  176\n",
      "Learning rate:  0.001\n",
      "epoch:  176\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1955e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.0629e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 178/600\n",
      "epoch:  177\n",
      "Learning rate:  0.001\n",
      "epoch:  177\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.2877e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.0311e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 179/600\n",
      "epoch:  178\n",
      "Learning rate:  0.001\n",
      "epoch:  178\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.2339e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 5.8971e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 180/600\n",
      "epoch:  179\n",
      "Learning rate:  0.001\n",
      "epoch:  179\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.3061e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 5.8128e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 181/600\n",
      "epoch:  180\n",
      "Learning rate:  0.001\n",
      "epoch:  180\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.1648e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 5.8059e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 182/600\n",
      "epoch:  181\n",
      "Learning rate:  0.001\n",
      "epoch:  181\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.0210e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 5.7233e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 183/600\n",
      "epoch:  182\n",
      "Learning rate:  0.001\n",
      "epoch:  182\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.3711e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 5.6699e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 184/600\n",
      "epoch:  183\n",
      "Learning rate:  0.001\n",
      "epoch:  183\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.3420e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 5.4377e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 185/600\n",
      "epoch:  184\n",
      "Learning rate:  0.001\n",
      "epoch:  184\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0037 - acc: 0.9986 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9972 - recall_1: 0.9983 - prec_2: 0.9975 - recall_2: 0.9983 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 5.5708e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 186/600\n",
      "epoch:  185\n",
      "Learning rate:  0.001\n",
      "epoch:  185\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0031 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9974 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9986 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 5.2534e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 187/600\n",
      "epoch:  186\n",
      "Learning rate:  0.001\n",
      "epoch:  186\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0012 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.7447e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 188/600\n",
      "epoch:  187\n",
      "Learning rate:  0.001\n",
      "epoch:  187\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0063 - acc: 0.9986 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9926 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9978 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 4.3886e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 189/600\n",
      "epoch:  188\n",
      "Learning rate:  0.001\n",
      "epoch:  188\n",
      "Learning rate:  0.001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.6560e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.2674e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 190/600\n",
      "epoch:  189\n",
      "Learning rate:  0.001\n",
      "epoch:  189\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9607e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.2437e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 191/600\n",
      "epoch:  190\n",
      "Learning rate:  0.001\n",
      "epoch:  190\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.5212e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.1946e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 192/600\n",
      "epoch:  191\n",
      "Learning rate:  0.001\n",
      "epoch:  191\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.5567e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.2241e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 193/600\n",
      "epoch:  192\n",
      "Learning rate:  0.001\n",
      "epoch:  192\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5966e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.2196e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 194/600\n",
      "epoch:  193\n",
      "Learning rate:  0.001\n",
      "epoch:  193\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0055 - acc: 0.9979 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9952 - prec_2: 0.9889 - recall_2: 1.0000 - f1_m: 0.9979 - recall_m: 0.9979 - precision_m: 0.9979 - val_loss: 3.9642e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 195/600\n",
      "epoch:  194\n",
      "Learning rate:  0.001\n",
      "epoch:  194\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.7935e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 3.3874e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 196/600\n",
      "epoch:  195\n",
      "Learning rate:  0.001\n",
      "epoch:  195\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5562e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 3.3002e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 197/600\n",
      "epoch:  196\n",
      "Learning rate:  0.001\n",
      "epoch:  196\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0015 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9972 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9984 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 3.3866e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 198/600\n",
      "epoch:  197\n",
      "Learning rate:  0.001\n",
      "epoch:  197\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.2814e-04 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9985 - prec_2: 0.9972 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 3.2450e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 199/600\n",
      "epoch:  198\n",
      "Learning rate:  0.001\n",
      "epoch:  198\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.8637e-04 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9982 - prec_2: 0.9980 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.8709e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 200/600\n",
      "epoch:  199\n",
      "Learning rate:  0.001\n",
      "epoch:  199\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.4229e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8422e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 201/600\n",
      "epoch:  200\n",
      "Learning rate:  0.001\n",
      "epoch:  200\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.8787e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8683e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 202/600\n",
      "epoch:  201\n",
      "Learning rate:  0.001\n",
      "epoch:  201\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.4190e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8148e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 203/600\n",
      "epoch:  202\n",
      "Learning rate:  0.001\n",
      "epoch:  202\n",
      "Learning rate:  0.001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.4507e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8513e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 204/600\n",
      "epoch:  203\n",
      "Learning rate:  0.001\n",
      "epoch:  203\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8628e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8325e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 205/600\n",
      "epoch:  204\n",
      "Learning rate:  0.001\n",
      "epoch:  204\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.4607e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7879e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 206/600\n",
      "epoch:  205\n",
      "Learning rate:  0.001\n",
      "epoch:  205\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.6986e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7581e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 207/600\n",
      "epoch:  206\n",
      "Learning rate:  0.001\n",
      "epoch:  206\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.0394e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7316e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 208/600\n",
      "epoch:  207\n",
      "Learning rate:  0.001\n",
      "epoch:  207\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.1976e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7221e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 209/600\n",
      "epoch:  208\n",
      "Learning rate:  0.001\n",
      "epoch:  208\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5840e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6405e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 210/600\n",
      "epoch:  209\n",
      "Learning rate:  0.001\n",
      "epoch:  209\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0013 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9972 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9983 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.6473e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 211/600\n",
      "epoch:  210\n",
      "Learning rate:  0.001\n",
      "epoch:  210\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5723e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6203e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 212/600\n",
      "epoch:  211\n",
      "Learning rate:  0.001\n",
      "epoch:  211\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5931e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5916e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 213/600\n",
      "epoch:  212\n",
      "Learning rate:  0.001\n",
      "epoch:  212\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.2119e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5483e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 214/600\n",
      "epoch:  213\n",
      "Learning rate:  0.001\n",
      "epoch:  213\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4047e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5280e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 215/600\n",
      "epoch:  214\n",
      "Learning rate:  0.001\n",
      "epoch:  214\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0034 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9926 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9987 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.5289e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 216/600\n",
      "epoch:  215\n",
      "Learning rate:  0.001\n",
      "epoch:  215\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0011 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9975 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9985 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.6729e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 217/600\n",
      "epoch:  216\n",
      "Learning rate:  0.001\n",
      "epoch:  216\n",
      "Learning rate:  0.001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.5822e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6846e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 218/600\n",
      "epoch:  217\n",
      "Learning rate:  0.001\n",
      "epoch:  217\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.2029e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6796e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 219/600\n",
      "epoch:  218\n",
      "Learning rate:  0.001\n",
      "epoch:  218\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0019 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9968 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9987 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.8990e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 220/600\n",
      "epoch:  219\n",
      "Learning rate:  0.001\n",
      "epoch:  219\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.4163e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.9482e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 221/600\n",
      "epoch:  220\n",
      "Learning rate:  0.001\n",
      "epoch:  220\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.9233e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.9247e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 222/600\n",
      "epoch:  221\n",
      "Learning rate:  0.001\n",
      "epoch:  221\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.9637e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8399e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 223/600\n",
      "epoch:  222\n",
      "Learning rate:  0.001\n",
      "epoch:  222\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.6105e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8178e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 224/600\n",
      "epoch:  223\n",
      "Learning rate:  0.001\n",
      "epoch:  223\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5711e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8234e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 225/600\n",
      "epoch:  224\n",
      "Learning rate:  0.001\n",
      "epoch:  224\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5369e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8293e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 226/600\n",
      "epoch:  225\n",
      "Learning rate:  0.001\n",
      "epoch:  225\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1510e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8148e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 227/600\n",
      "epoch:  226\n",
      "Learning rate:  0.0001\n",
      "epoch:  226\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.8996e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8180e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 228/600\n",
      "epoch:  227\n",
      "Learning rate:  0.0001\n",
      "epoch:  227\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.0492e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8476e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 229/600\n",
      "epoch:  228\n",
      "Learning rate:  0.0001\n",
      "epoch:  228\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.4323e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8209e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 230/600\n",
      "epoch:  229\n",
      "Learning rate:  0.0001\n",
      "epoch:  229\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2742e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7686e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 231/600\n",
      "epoch:  230\n",
      "Learning rate:  0.0001\n",
      "epoch:  230\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4545e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7845e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 232/600\n",
      "epoch:  231\n",
      "Learning rate:  0.0001\n",
      "epoch:  231\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.9951e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7964e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 233/600\n",
      "epoch:  232\n",
      "Learning rate:  0.0001\n",
      "epoch:  232\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0012 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9968 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9987 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.7556e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 234/600\n",
      "epoch:  233\n",
      "Learning rate:  0.0001\n",
      "epoch:  233\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.3304e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7570e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 235/600\n",
      "epoch:  234\n",
      "Learning rate:  0.0001\n",
      "epoch:  234\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.0490e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7656e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 236/600\n",
      "epoch:  235\n",
      "Learning rate:  0.0001\n",
      "epoch:  235\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.9514e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7763e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 237/600\n",
      "epoch:  236\n",
      "Learning rate:  0.0001\n",
      "epoch:  236\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.8568e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7706e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 238/600\n",
      "epoch:  237\n",
      "Learning rate:  0.0001\n",
      "epoch:  237\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.9264e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8012e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 239/600\n",
      "epoch:  238\n",
      "Learning rate:  0.0001\n",
      "epoch:  238\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1949e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8309e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 240/600\n",
      "epoch:  239\n",
      "Learning rate:  0.0001\n",
      "epoch:  239\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.4844e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8351e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 241/600\n",
      "epoch:  240\n",
      "Learning rate:  0.0001\n",
      "epoch:  240\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4871e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7779e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 242/600\n",
      "epoch:  241\n",
      "Learning rate:  0.0001\n",
      "epoch:  241\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.2493e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7827e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 243/600\n",
      "epoch:  242\n",
      "Learning rate:  0.0001\n",
      "epoch:  242\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.2685e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7490e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 244/600\n",
      "epoch:  243\n",
      "Learning rate:  0.0001\n",
      "epoch:  243\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.7940e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7428e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 245/600\n",
      "epoch:  244\n",
      "Learning rate:  0.0001\n",
      "epoch:  244\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.2595e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7531e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 246/600\n",
      "epoch:  245\n",
      "Learning rate:  0.0001\n",
      "epoch:  245\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.2466e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7783e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 247/600\n",
      "epoch:  246\n",
      "Learning rate:  0.0001\n",
      "epoch:  246\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2701e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7823e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 248/600\n",
      "epoch:  247\n",
      "Learning rate:  0.0001\n",
      "epoch:  247\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.9296e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7973e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 249/600\n",
      "epoch:  248\n",
      "Learning rate:  0.0001\n",
      "epoch:  248\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4212e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8148e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 250/600\n",
      "epoch:  249\n",
      "Learning rate:  0.0001\n",
      "epoch:  249\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5863e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7854e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 251/600\n",
      "epoch:  250\n",
      "Learning rate:  0.0001\n",
      "epoch:  250\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7694e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8039e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 252/600\n",
      "epoch:  251\n",
      "Learning rate:  0.0001\n",
      "epoch:  251\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.7195e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7810e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 253/600\n",
      "epoch:  252\n",
      "Learning rate:  0.0001\n",
      "epoch:  252\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.0300e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8163e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 254/600\n",
      "epoch:  253\n",
      "Learning rate:  0.0001\n",
      "epoch:  253\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.5561e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.8007e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 255/600\n",
      "epoch:  254\n",
      "Learning rate:  0.0001\n",
      "epoch:  254\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.9560e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7872e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 256/600\n",
      "epoch:  255\n",
      "Learning rate:  0.0001\n",
      "epoch:  255\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.9338e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7402e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 257/600\n",
      "epoch:  256\n",
      "Learning rate:  0.0001\n",
      "epoch:  256\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.6735e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6642e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 258/600\n",
      "epoch:  257\n",
      "Learning rate:  0.0001\n",
      "epoch:  257\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.1096e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6506e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 259/600\n",
      "epoch:  258\n",
      "Learning rate:  0.0001\n",
      "epoch:  258\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.3734e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6526e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 260/600\n",
      "epoch:  259\n",
      "Learning rate:  0.0001\n",
      "epoch:  259\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2678e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6655e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 261/600\n",
      "epoch:  260\n",
      "Learning rate:  0.0001\n",
      "epoch:  260\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.6453e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6694e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 262/600\n",
      "epoch:  261\n",
      "Learning rate:  0.0001\n",
      "epoch:  261\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.3660e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6630e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 263/600\n",
      "epoch:  262\n",
      "Learning rate:  0.0001\n",
      "epoch:  262\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4141e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6795e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 264/600\n",
      "epoch:  263\n",
      "Learning rate:  0.0001\n",
      "epoch:  263\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.3102e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6788e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 265/600\n",
      "epoch:  264\n",
      "Learning rate:  0.0001\n",
      "epoch:  264\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.3556e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6873e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 266/600\n",
      "epoch:  265\n",
      "Learning rate:  0.0001\n",
      "epoch:  265\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5432e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6850e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 267/600\n",
      "epoch:  266\n",
      "Learning rate:  0.0001\n",
      "epoch:  266\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.9301e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7040e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 268/600\n",
      "epoch:  267\n",
      "Learning rate:  0.0001\n",
      "epoch:  267\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7483e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6890e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 269/600\n",
      "epoch:  268\n",
      "Learning rate:  0.0001\n",
      "epoch:  268\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.9005e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6856e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 270/600\n",
      "epoch:  269\n",
      "Learning rate:  0.0001\n",
      "epoch:  269\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.3874e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6876e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 271/600\n",
      "epoch:  270\n",
      "Learning rate:  0.0001\n",
      "epoch:  270\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5455e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6897e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 272/600\n",
      "epoch:  271\n",
      "Learning rate:  0.0001\n",
      "epoch:  271\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.3706e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6602e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 273/600\n",
      "epoch:  272\n",
      "Learning rate:  0.0001\n",
      "epoch:  272\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.2048e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6593e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 274/600\n",
      "epoch:  273\n",
      "Learning rate:  0.0001\n",
      "epoch:  273\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.9565e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6654e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 275/600\n",
      "epoch:  274\n",
      "Learning rate:  0.0001\n",
      "epoch:  274\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2409e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6252e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 276/600\n",
      "epoch:  275\n",
      "Learning rate:  0.0001\n",
      "epoch:  275\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.8960e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6330e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 277/600\n",
      "epoch:  276\n",
      "Learning rate:  0.0001\n",
      "epoch:  276\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.9557e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6496e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 278/600\n",
      "epoch:  277\n",
      "Learning rate:  0.0001\n",
      "epoch:  277\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.6425e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6117e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 279/600\n",
      "epoch:  278\n",
      "Learning rate:  0.0001\n",
      "epoch:  278\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.1206e-04 - acc: 0.9993 - prec: 0.9966 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9983 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.5866e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 280/600\n",
      "epoch:  279\n",
      "Learning rate:  0.0001\n",
      "epoch:  279\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.8755e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.6071e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 281/600\n",
      "epoch:  280\n",
      "Learning rate:  0.0001\n",
      "epoch:  280\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.0069e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5786e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 282/600\n",
      "epoch:  281\n",
      "Learning rate:  0.0001\n",
      "epoch:  281\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.2422e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5731e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 283/600\n",
      "epoch:  282\n",
      "Learning rate:  0.0001\n",
      "epoch:  282\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4032e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5949e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 284/600\n",
      "epoch:  283\n",
      "Learning rate:  0.0001\n",
      "epoch:  283\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8365e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5432e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 285/600\n",
      "epoch:  284\n",
      "Learning rate:  0.0001\n",
      "epoch:  284\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.6833e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5349e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 286/600\n",
      "epoch:  285\n",
      "Learning rate:  0.0001\n",
      "epoch:  285\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.0161e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5408e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 287/600\n",
      "epoch:  286\n",
      "Learning rate:  0.0001\n",
      "epoch:  286\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.6783e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5508e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 288/600\n",
      "epoch:  287\n",
      "Learning rate:  0.0001\n",
      "epoch:  287\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.7710e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5898e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 289/600\n",
      "epoch:  288\n",
      "Learning rate:  0.0001\n",
      "epoch:  288\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.9660e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5877e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 290/600\n",
      "epoch:  289\n",
      "Learning rate:  0.0001\n",
      "epoch:  289\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.3469e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5571e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 291/600\n",
      "epoch:  290\n",
      "Learning rate:  0.0001\n",
      "epoch:  290\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4491e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5660e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 292/600\n",
      "epoch:  291\n",
      "Learning rate:  0.0001\n",
      "epoch:  291\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7895e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5515e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 293/600\n",
      "epoch:  292\n",
      "Learning rate:  0.0001\n",
      "epoch:  292\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.4975e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5585e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 294/600\n",
      "epoch:  293\n",
      "Learning rate:  0.0001\n",
      "epoch:  293\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5661e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5834e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 295/600\n",
      "epoch:  294\n",
      "Learning rate:  0.0001\n",
      "epoch:  294\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.1071e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5785e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 296/600\n",
      "epoch:  295\n",
      "Learning rate:  0.0001\n",
      "epoch:  295\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.5106e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5720e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 297/600\n",
      "epoch:  296\n",
      "Learning rate:  0.0001\n",
      "epoch:  296\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5221e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5616e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 298/600\n",
      "epoch:  297\n",
      "Learning rate:  0.0001\n",
      "epoch:  297\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.8985e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5518e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 299/600\n",
      "epoch:  298\n",
      "Learning rate:  0.0001\n",
      "epoch:  298\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.3931e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5452e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 300/600\n",
      "epoch:  299\n",
      "Learning rate:  0.0001\n",
      "epoch:  299\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.4374e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5401e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 301/600\n",
      "epoch:  300\n",
      "Learning rate:  0.0001\n",
      "epoch:  300\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9719e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5208e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 302/600\n",
      "epoch:  301\n",
      "Learning rate:  0.0001\n",
      "epoch:  301\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1794e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5162e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 303/600\n",
      "epoch:  302\n",
      "Learning rate:  0.0001\n",
      "epoch:  302\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.3900e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4970e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 304/600\n",
      "epoch:  303\n",
      "Learning rate:  0.0001\n",
      "epoch:  303\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.4591e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5203e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 305/600\n",
      "epoch:  304\n",
      "Learning rate:  0.0001\n",
      "epoch:  304\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.3943e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5345e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 306/600\n",
      "epoch:  305\n",
      "Learning rate:  0.0001\n",
      "epoch:  305\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.3534e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5251e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 307/600\n",
      "epoch:  306\n",
      "Learning rate:  0.0001\n",
      "epoch:  306\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.3797e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5323e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 308/600\n",
      "epoch:  307\n",
      "Learning rate:  0.0001\n",
      "epoch:  307\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.3508e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5585e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 309/600\n",
      "epoch:  308\n",
      "Learning rate:  0.0001\n",
      "epoch:  308\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.6752e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5208e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 310/600\n",
      "epoch:  309\n",
      "Learning rate:  0.0001\n",
      "epoch:  309\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.5061e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5306e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 311/600\n",
      "epoch:  310\n",
      "Learning rate:  0.0001\n",
      "epoch:  310\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.8167e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5131e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 312/600\n",
      "epoch:  311\n",
      "Learning rate:  0.0001\n",
      "epoch:  311\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7722e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4977e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 313/600\n",
      "epoch:  312\n",
      "Learning rate:  0.0001\n",
      "epoch:  312\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0022 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9983 - prec_2: 0.9981 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.4784e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 314/600\n",
      "epoch:  313\n",
      "Learning rate:  0.0001\n",
      "epoch:  313\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.6166e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4984e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 315/600\n",
      "epoch:  314\n",
      "Learning rate:  0.0001\n",
      "epoch:  314\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7671e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5318e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 316/600\n",
      "epoch:  315\n",
      "Learning rate:  0.0001\n",
      "epoch:  315\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.6693e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5301e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 317/600\n",
      "epoch:  316\n",
      "Learning rate:  0.0001\n",
      "epoch:  316\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.9703e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5263e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 318/600\n",
      "epoch:  317\n",
      "Learning rate:  0.0001\n",
      "epoch:  317\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.8020e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4900e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 319/600\n",
      "epoch:  318\n",
      "Learning rate:  0.0001\n",
      "epoch:  318\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4288e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5016e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 320/600\n",
      "epoch:  319\n",
      "Learning rate:  0.0001\n",
      "epoch:  319\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4321e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4823e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 321/600\n",
      "epoch:  320\n",
      "Learning rate:  0.0001\n",
      "epoch:  320\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.0344e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4951e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 322/600\n",
      "epoch:  321\n",
      "Learning rate:  0.0001\n",
      "epoch:  321\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5606e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4997e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 323/600\n",
      "epoch:  322\n",
      "Learning rate:  0.0001\n",
      "epoch:  322\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.0426e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5019e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 324/600\n",
      "epoch:  323\n",
      "Learning rate:  0.0001\n",
      "epoch:  323\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.7018e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5100e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 325/600\n",
      "epoch:  324\n",
      "Learning rate:  0.0001\n",
      "epoch:  324\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.4345e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5249e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 326/600\n",
      "epoch:  325\n",
      "Learning rate:  0.0001\n",
      "epoch:  325\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8501e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5119e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 327/600\n",
      "epoch:  326\n",
      "Learning rate:  0.0001\n",
      "epoch:  326\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.0667e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4943e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 328/600\n",
      "epoch:  327\n",
      "Learning rate:  0.0001\n",
      "epoch:  327\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1071e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5155e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 329/600\n",
      "epoch:  328\n",
      "Learning rate:  0.0001\n",
      "epoch:  328\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2474e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4845e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 330/600\n",
      "epoch:  329\n",
      "Learning rate:  0.0001\n",
      "epoch:  329\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.9812e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4845e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 331/600\n",
      "epoch:  330\n",
      "Learning rate:  0.0001\n",
      "epoch:  330\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1773e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4985e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 332/600\n",
      "epoch:  331\n",
      "Learning rate:  0.0001\n",
      "epoch:  331\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7254e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4754e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 333/600\n",
      "epoch:  332\n",
      "Learning rate:  0.0001\n",
      "epoch:  332\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.3410e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4631e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 334/600\n",
      "epoch:  333\n",
      "Learning rate:  0.0001\n",
      "epoch:  333\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7722e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4535e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 335/600\n",
      "epoch:  334\n",
      "Learning rate:  0.0001\n",
      "epoch:  334\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.7631e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4729e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 336/600\n",
      "epoch:  335\n",
      "Learning rate:  0.0001\n",
      "epoch:  335\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5963e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4633e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 337/600\n",
      "epoch:  336\n",
      "Learning rate:  0.0001\n",
      "epoch:  336\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.0365e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4451e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 338/600\n",
      "epoch:  337\n",
      "Learning rate:  0.0001\n",
      "epoch:  337\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.0813e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4851e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 339/600\n",
      "epoch:  338\n",
      "Learning rate:  0.0001\n",
      "epoch:  338\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5070e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4723e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 340/600\n",
      "epoch:  339\n",
      "Learning rate:  0.0001\n",
      "epoch:  339\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.6616e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4643e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 341/600\n",
      "epoch:  340\n",
      "Learning rate:  0.0001\n",
      "epoch:  340\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.6802e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4661e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 342/600\n",
      "epoch:  341\n",
      "Learning rate:  0.0001\n",
      "epoch:  341\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9604e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4696e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 343/600\n",
      "epoch:  342\n",
      "Learning rate:  0.0001\n",
      "epoch:  342\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.1137e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4395e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 344/600\n",
      "epoch:  343\n",
      "Learning rate:  0.0001\n",
      "epoch:  343\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.0479e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4555e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 345/600\n",
      "epoch:  344\n",
      "Learning rate:  0.0001\n",
      "epoch:  344\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.4919e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4817e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 346/600\n",
      "epoch:  345\n",
      "Learning rate:  0.0001\n",
      "epoch:  345\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.2548e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4993e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 347/600\n",
      "epoch:  346\n",
      "Learning rate:  0.0001\n",
      "epoch:  346\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8783e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5129e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 348/600\n",
      "epoch:  347\n",
      "Learning rate:  0.0001\n",
      "epoch:  347\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.3718e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5136e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 349/600\n",
      "epoch:  348\n",
      "Learning rate:  0.0001\n",
      "epoch:  348\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.8337e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.5263e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 350/600\n",
      "epoch:  349\n",
      "Learning rate:  0.0001\n",
      "epoch:  349\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.1584e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4850e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 351/600\n",
      "epoch:  350\n",
      "Learning rate:  0.0001\n",
      "epoch:  350\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.1839e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4619e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 352/600\n",
      "epoch:  351\n",
      "Learning rate:  0.0001\n",
      "epoch:  351\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8745e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4558e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 353/600\n",
      "epoch:  352\n",
      "Learning rate:  0.0001\n",
      "epoch:  352\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.7214e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4846e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 354/600\n",
      "epoch:  353\n",
      "Learning rate:  0.0001\n",
      "epoch:  353\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.6865e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4797e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 355/600\n",
      "epoch:  354\n",
      "Learning rate:  0.0001\n",
      "epoch:  354\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.6636e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4687e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 356/600\n",
      "epoch:  355\n",
      "Learning rate:  0.0001\n",
      "epoch:  355\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.4828e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4485e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 357/600\n",
      "epoch:  356\n",
      "Learning rate:  0.0001\n",
      "epoch:  356\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.6253e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4499e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 358/600\n",
      "epoch:  357\n",
      "Learning rate:  0.0001\n",
      "epoch:  357\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.2189e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4273e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 359/600\n",
      "epoch:  358\n",
      "Learning rate:  0.0001\n",
      "epoch:  358\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.3041e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4490e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 360/600\n",
      "epoch:  359\n",
      "Learning rate:  0.0001\n",
      "epoch:  359\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4365e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4401e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 361/600\n",
      "epoch:  360\n",
      "Learning rate:  0.0001\n",
      "epoch:  360\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.6918e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4353e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 362/600\n",
      "epoch:  361\n",
      "Learning rate:  0.0001\n",
      "epoch:  361\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.7672e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4255e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 363/600\n",
      "epoch:  362\n",
      "Learning rate:  0.0001\n",
      "epoch:  362\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.7093e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4235e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 364/600\n",
      "epoch:  363\n",
      "Learning rate:  0.0001\n",
      "epoch:  363\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.6410e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4183e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 365/600\n",
      "epoch:  364\n",
      "Learning rate:  0.0001\n",
      "epoch:  364\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5588e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4675e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 366/600\n",
      "epoch:  365\n",
      "Learning rate:  0.0001\n",
      "epoch:  365\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.7927e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4620e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 367/600\n",
      "epoch:  366\n",
      "Learning rate:  0.0001\n",
      "epoch:  366\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5557e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4381e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 368/600\n",
      "epoch:  367\n",
      "Learning rate:  0.0001\n",
      "epoch:  367\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.9478e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4468e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 369/600\n",
      "epoch:  368\n",
      "Learning rate:  0.0001\n",
      "epoch:  368\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9881e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4334e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 370/600\n",
      "epoch:  369\n",
      "Learning rate:  0.0001\n",
      "epoch:  369\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1428e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4119e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 371/600\n",
      "epoch:  370\n",
      "Learning rate:  0.0001\n",
      "epoch:  370\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.5089e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4079e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 372/600\n",
      "epoch:  371\n",
      "Learning rate:  0.0001\n",
      "epoch:  371\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1025e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4115e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 373/600\n",
      "epoch:  372\n",
      "Learning rate:  0.0001\n",
      "epoch:  372\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5790e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4159e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 374/600\n",
      "epoch:  373\n",
      "Learning rate:  0.0001\n",
      "epoch:  373\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.9957e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4363e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 375/600\n",
      "epoch:  374\n",
      "Learning rate:  0.0001\n",
      "epoch:  374\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.8693e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4662e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 376/600\n",
      "epoch:  375\n",
      "Learning rate:  0.0001\n",
      "epoch:  375\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.8228e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4431e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 377/600\n",
      "epoch:  376\n",
      "Learning rate:  0.0001\n",
      "epoch:  376\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2555e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4254e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 378/600\n",
      "epoch:  377\n",
      "Learning rate:  0.0001\n",
      "epoch:  377\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.7612e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3974e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 379/600\n",
      "epoch:  378\n",
      "Learning rate:  0.0001\n",
      "epoch:  378\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.5121e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4064e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 380/600\n",
      "epoch:  379\n",
      "Learning rate:  0.0001\n",
      "epoch:  379\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.8713e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4243e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 381/600\n",
      "epoch:  380\n",
      "Learning rate:  0.0001\n",
      "epoch:  380\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.4787e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4353e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 382/600\n",
      "epoch:  381\n",
      "Learning rate:  0.0001\n",
      "epoch:  381\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.1528e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4239e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 383/600\n",
      "epoch:  382\n",
      "Learning rate:  0.0001\n",
      "epoch:  382\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8326e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4310e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 384/600\n",
      "epoch:  383\n",
      "Learning rate:  0.0001\n",
      "epoch:  383\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.2340e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4231e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 385/600\n",
      "epoch:  384\n",
      "Learning rate:  0.0001\n",
      "epoch:  384\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.8814e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4304e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 386/600\n",
      "epoch:  385\n",
      "Learning rate:  0.0001\n",
      "epoch:  385\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7830e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4040e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 387/600\n",
      "epoch:  386\n",
      "Learning rate:  0.0001\n",
      "epoch:  386\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.3013e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3986e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 388/600\n",
      "epoch:  387\n",
      "Learning rate:  0.0001\n",
      "epoch:  387\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8984e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3789e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 389/600\n",
      "epoch:  388\n",
      "Learning rate:  0.0001\n",
      "epoch:  388\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1767e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3878e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 390/600\n",
      "epoch:  389\n",
      "Learning rate:  0.0001\n",
      "epoch:  389\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9328e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3900e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 391/600\n",
      "epoch:  390\n",
      "Learning rate:  0.0001\n",
      "epoch:  390\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2842e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3846e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 392/600\n",
      "epoch:  391\n",
      "Learning rate:  0.0001\n",
      "epoch:  391\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8553e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3622e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 393/600\n",
      "epoch:  392\n",
      "Learning rate:  0.0001\n",
      "epoch:  392\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0296 - acc: 0.9972 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9941 - prec_2: 0.9901 - recall_2: 1.0000 - f1_m: 0.9972 - recall_m: 0.9972 - precision_m: 0.9972 - val_loss: 2.3657e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 394/600\n",
      "epoch:  393\n",
      "Learning rate:  0.0001\n",
      "epoch:  393\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7087e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3712e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 395/600\n",
      "epoch:  394\n",
      "Learning rate:  0.0001\n",
      "epoch:  394\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.6172e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3737e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 396/600\n",
      "epoch:  395\n",
      "Learning rate:  0.0001\n",
      "epoch:  395\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7636e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3762e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 397/600\n",
      "epoch:  396\n",
      "Learning rate:  0.0001\n",
      "epoch:  396\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4368e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3558e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 398/600\n",
      "epoch:  397\n",
      "Learning rate:  0.0001\n",
      "epoch:  397\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.7637e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3807e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 399/600\n",
      "epoch:  398\n",
      "Learning rate:  0.0001\n",
      "epoch:  398\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.1992e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3686e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 400/600\n",
      "epoch:  399\n",
      "Learning rate:  0.0001\n",
      "epoch:  399\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.7964e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4076e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 401/600\n",
      "epoch:  400\n",
      "Learning rate:  0.0001\n",
      "epoch:  400\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.5747e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3898e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 402/600\n",
      "epoch:  401\n",
      "Learning rate:  0.0001\n",
      "epoch:  401\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8010e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3963e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 403/600\n",
      "epoch:  402\n",
      "Learning rate:  0.0001\n",
      "epoch:  402\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.4022e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4001e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 404/600\n",
      "epoch:  403\n",
      "Learning rate:  0.0001\n",
      "epoch:  403\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1422e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4112e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 405/600\n",
      "epoch:  404\n",
      "Learning rate:  0.0001\n",
      "epoch:  404\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5358e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4038e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 406/600\n",
      "epoch:  405\n",
      "Learning rate:  0.0001\n",
      "epoch:  405\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.6776e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3875e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 407/600\n",
      "epoch:  406\n",
      "Learning rate:  0.0001\n",
      "epoch:  406\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.2333e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3745e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 408/600\n",
      "epoch:  407\n",
      "Learning rate:  0.0001\n",
      "epoch:  407\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.7117e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3689e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 409/600\n",
      "epoch:  408\n",
      "Learning rate:  0.0001\n",
      "epoch:  408\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.0466e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3996e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 410/600\n",
      "epoch:  409\n",
      "Learning rate:  0.0001\n",
      "epoch:  409\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.3184e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3812e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 411/600\n",
      "epoch:  410\n",
      "Learning rate:  0.0001\n",
      "epoch:  410\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.8469e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3841e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 412/600\n",
      "epoch:  411\n",
      "Learning rate:  0.0001\n",
      "epoch:  411\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1275e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3714e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 413/600\n",
      "epoch:  412\n",
      "Learning rate:  0.0001\n",
      "epoch:  412\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1414e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3800e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 414/600\n",
      "epoch:  413\n",
      "Learning rate:  0.0001\n",
      "epoch:  413\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1350e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3744e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 415/600\n",
      "epoch:  414\n",
      "Learning rate:  0.0001\n",
      "epoch:  414\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.3602e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3878e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 416/600\n",
      "epoch:  415\n",
      "Learning rate:  0.0001\n",
      "epoch:  415\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.4089e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3610e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 417/600\n",
      "epoch:  416\n",
      "Learning rate:  0.0001\n",
      "epoch:  416\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.4511e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3623e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 418/600\n",
      "epoch:  417\n",
      "Learning rate:  0.0001\n",
      "epoch:  417\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.4734e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3578e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 419/600\n",
      "epoch:  418\n",
      "Learning rate:  0.0001\n",
      "epoch:  418\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.1611e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3505e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 420/600\n",
      "epoch:  419\n",
      "Learning rate:  0.0001\n",
      "epoch:  419\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.2025e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3356e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 421/600\n",
      "epoch:  420\n",
      "Learning rate:  0.0001\n",
      "epoch:  420\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1834e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3604e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 422/600\n",
      "epoch:  421\n",
      "Learning rate:  0.0001\n",
      "epoch:  421\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.7868e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3421e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 423/600\n",
      "epoch:  422\n",
      "Learning rate:  0.0001\n",
      "epoch:  422\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2585e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3169e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 424/600\n",
      "epoch:  423\n",
      "Learning rate:  0.0001\n",
      "epoch:  423\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5533e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3183e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 425/600\n",
      "epoch:  424\n",
      "Learning rate:  0.0001\n",
      "epoch:  424\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.6794e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3383e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 426/600\n",
      "epoch:  425\n",
      "Learning rate:  0.0001\n",
      "epoch:  425\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1690e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3382e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 427/600\n",
      "epoch:  426\n",
      "Learning rate:  0.0001\n",
      "epoch:  426\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7261e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3686e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 428/600\n",
      "epoch:  427\n",
      "Learning rate:  0.0001\n",
      "epoch:  427\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.8294e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3555e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 429/600\n",
      "epoch:  428\n",
      "Learning rate:  0.0001\n",
      "epoch:  428\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7496e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3419e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 430/600\n",
      "epoch:  429\n",
      "Learning rate:  0.0001\n",
      "epoch:  429\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7601e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3529e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 431/600\n",
      "epoch:  430\n",
      "Learning rate:  0.0001\n",
      "epoch:  430\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.6786e-04 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9978 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9981 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.3751e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 432/600\n",
      "epoch:  431\n",
      "Learning rate:  0.0001\n",
      "epoch:  431\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.9559e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3936e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 433/600\n",
      "epoch:  432\n",
      "Learning rate:  0.0001\n",
      "epoch:  432\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.7748e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3680e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 434/600\n",
      "epoch:  433\n",
      "Learning rate:  0.0001\n",
      "epoch:  433\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2427e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3991e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 435/600\n",
      "epoch:  434\n",
      "Learning rate:  0.0001\n",
      "epoch:  434\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5071e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3873e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 436/600\n",
      "epoch:  435\n",
      "Learning rate:  0.0001\n",
      "epoch:  435\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.3516e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3958e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 437/600\n",
      "epoch:  436\n",
      "Learning rate:  0.0001\n",
      "epoch:  436\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.8382e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3970e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 438/600\n",
      "epoch:  437\n",
      "Learning rate:  0.0001\n",
      "epoch:  437\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.8542e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3973e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 439/600\n",
      "epoch:  438\n",
      "Learning rate:  0.0001\n",
      "epoch:  438\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5426e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3870e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 440/600\n",
      "epoch:  439\n",
      "Learning rate:  0.0001\n",
      "epoch:  439\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.0572e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3559e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 441/600\n",
      "epoch:  440\n",
      "Learning rate:  0.0001\n",
      "epoch:  440\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0013 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9972 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9988 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.3546e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 442/600\n",
      "epoch:  441\n",
      "Learning rate:  0.0001\n",
      "epoch:  441\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1745e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3462e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 443/600\n",
      "epoch:  442\n",
      "Learning rate:  0.0001\n",
      "epoch:  442\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.0800e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3689e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 444/600\n",
      "epoch:  443\n",
      "Learning rate:  0.0001\n",
      "epoch:  443\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.4638e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3549e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 445/600\n",
      "epoch:  444\n",
      "Learning rate:  0.0001\n",
      "epoch:  444\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2573e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3392e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 446/600\n",
      "epoch:  445\n",
      "Learning rate:  0.0001\n",
      "epoch:  445\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.6428e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3405e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 447/600\n",
      "epoch:  446\n",
      "Learning rate:  0.0001\n",
      "epoch:  446\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.3697e-04 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9983 - prec_2: 0.9980 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.3428e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 448/600\n",
      "epoch:  447\n",
      "Learning rate:  0.0001\n",
      "epoch:  447\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.7630e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3583e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 449/600\n",
      "epoch:  448\n",
      "Learning rate:  0.0001\n",
      "epoch:  448\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.5205e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3567e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 450/600\n",
      "epoch:  449\n",
      "Learning rate:  0.0001\n",
      "epoch:  449\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2912e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3638e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 451/600\n",
      "epoch:  450\n",
      "Learning rate:  0.0001\n",
      "epoch:  450\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2215e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3847e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 452/600\n",
      "epoch:  451\n",
      "Learning rate:  0.0001\n",
      "epoch:  451\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4329e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3856e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 453/600\n",
      "epoch:  452\n",
      "Learning rate:  0.0001\n",
      "epoch:  452\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.7065e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4107e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 454/600\n",
      "epoch:  453\n",
      "Learning rate:  0.0001\n",
      "epoch:  453\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4249e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.4062e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 455/600\n",
      "epoch:  454\n",
      "Learning rate:  0.0001\n",
      "epoch:  454\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.3345e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3948e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 456/600\n",
      "epoch:  455\n",
      "Learning rate:  0.0001\n",
      "epoch:  455\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.3177e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3447e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 457/600\n",
      "epoch:  456\n",
      "Learning rate:  0.0001\n",
      "epoch:  456\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.7527e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3487e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 458/600\n",
      "epoch:  457\n",
      "Learning rate:  0.0001\n",
      "epoch:  457\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5110e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3336e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 459/600\n",
      "epoch:  458\n",
      "Learning rate:  0.0001\n",
      "epoch:  458\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8834e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3490e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 460/600\n",
      "epoch:  459\n",
      "Learning rate:  0.0001\n",
      "epoch:  459\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5270e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3501e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 461/600\n",
      "epoch:  460\n",
      "Learning rate:  0.0001\n",
      "epoch:  460\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.3420e-04 - acc: 0.9993 - prec: 1.0000 - recall: 0.9985 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 0.9960 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.3649e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 462/600\n",
      "epoch:  461\n",
      "Learning rate:  0.0001\n",
      "epoch:  461\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.0050e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3729e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 463/600\n",
      "epoch:  462\n",
      "Learning rate:  0.0001\n",
      "epoch:  462\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.6190e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3519e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 464/600\n",
      "epoch:  463\n",
      "Learning rate:  0.0001\n",
      "epoch:  463\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4571e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3579e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 465/600\n",
      "epoch:  464\n",
      "Learning rate:  0.0001\n",
      "epoch:  464\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0011 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9985 - prec_2: 0.9977 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.3387e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 466/600\n",
      "epoch:  465\n",
      "Learning rate:  0.0001\n",
      "epoch:  465\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.1161e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3463e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 467/600\n",
      "epoch:  466\n",
      "Learning rate:  0.0001\n",
      "epoch:  466\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.6786e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3254e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 468/600\n",
      "epoch:  467\n",
      "Learning rate:  0.0001\n",
      "epoch:  467\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.0902e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3544e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 469/600\n",
      "epoch:  468\n",
      "Learning rate:  0.0001\n",
      "epoch:  468\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.6129e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3774e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 470/600\n",
      "epoch:  469\n",
      "Learning rate:  0.0001\n",
      "epoch:  469\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.2274e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3503e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 471/600\n",
      "epoch:  470\n",
      "Learning rate:  0.0001\n",
      "epoch:  470\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.8327e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3827e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 472/600\n",
      "epoch:  471\n",
      "Learning rate:  0.0001\n",
      "epoch:  471\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8527e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3706e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 473/600\n",
      "epoch:  472\n",
      "Learning rate:  0.0001\n",
      "epoch:  472\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4731e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3890e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 474/600\n",
      "epoch:  473\n",
      "Learning rate:  0.0001\n",
      "epoch:  473\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5522e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3538e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 475/600\n",
      "epoch:  474\n",
      "Learning rate:  0.0001\n",
      "epoch:  474\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9792e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3102e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 476/600\n",
      "epoch:  475\n",
      "Learning rate:  0.0001\n",
      "epoch:  475\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.0497e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3105e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 477/600\n",
      "epoch:  476\n",
      "Learning rate:  0.0001\n",
      "epoch:  476\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.0706e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3236e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 478/600\n",
      "epoch:  477\n",
      "Learning rate:  0.0001\n",
      "epoch:  477\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.0235e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3467e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 479/600\n",
      "epoch:  478\n",
      "Learning rate:  0.0001\n",
      "epoch:  478\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.5527e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3198e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 480/600\n",
      "epoch:  479\n",
      "Learning rate:  0.0001\n",
      "epoch:  479\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5300e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3264e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 481/600\n",
      "epoch:  480\n",
      "Learning rate:  0.0001\n",
      "epoch:  480\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.0610e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3202e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 482/600\n",
      "epoch:  481\n",
      "Learning rate:  0.0001\n",
      "epoch:  481\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2328e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3112e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 483/600\n",
      "epoch:  482\n",
      "Learning rate:  0.0001\n",
      "epoch:  482\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.1537e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3163e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 484/600\n",
      "epoch:  483\n",
      "Learning rate:  0.0001\n",
      "epoch:  483\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.1621e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3106e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 485/600\n",
      "epoch:  484\n",
      "Learning rate:  0.0001\n",
      "epoch:  484\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.2287e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3300e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 486/600\n",
      "epoch:  485\n",
      "Learning rate:  0.0001\n",
      "epoch:  485\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.5154e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3430e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 487/600\n",
      "epoch:  486\n",
      "Learning rate:  0.0001\n",
      "epoch:  486\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5333e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3370e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 488/600\n",
      "epoch:  487\n",
      "Learning rate:  0.0001\n",
      "epoch:  487\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.2786e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3235e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 489/600\n",
      "epoch:  488\n",
      "Learning rate:  0.0001\n",
      "epoch:  488\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7799e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2952e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 490/600\n",
      "epoch:  489\n",
      "Learning rate:  0.0001\n",
      "epoch:  489\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5468e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2701e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 491/600\n",
      "epoch:  490\n",
      "Learning rate:  0.0001\n",
      "epoch:  490\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.0800e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2676e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 492/600\n",
      "epoch:  491\n",
      "Learning rate:  0.0001\n",
      "epoch:  491\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.7156e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2607e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 493/600\n",
      "epoch:  492\n",
      "Learning rate:  0.0001\n",
      "epoch:  492\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5772e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2512e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 494/600\n",
      "epoch:  493\n",
      "Learning rate:  0.0001\n",
      "epoch:  493\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.0851e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2538e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 495/600\n",
      "epoch:  494\n",
      "Learning rate:  0.0001\n",
      "epoch:  494\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.8513e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2703e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 496/600\n",
      "epoch:  495\n",
      "Learning rate:  0.0001\n",
      "epoch:  495\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.2437e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2604e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 497/600\n",
      "epoch:  496\n",
      "Learning rate:  0.0001\n",
      "epoch:  496\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.1720e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2468e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 498/600\n",
      "epoch:  497\n",
      "Learning rate:  0.0001\n",
      "epoch:  497\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.1914e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2439e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 499/600\n",
      "epoch:  498\n",
      "Learning rate:  0.0001\n",
      "epoch:  498\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.1176e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2640e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 500/600\n",
      "epoch:  499\n",
      "Learning rate:  0.0001\n",
      "epoch:  499\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0011 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2470e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 501/600\n",
      "epoch:  500\n",
      "Learning rate:  0.0001\n",
      "epoch:  500\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1576e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2495e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 502/600\n",
      "epoch:  501\n",
      "Learning rate:  0.0001\n",
      "epoch:  501\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.4488e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2468e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 503/600\n",
      "epoch:  502\n",
      "Learning rate:  0.0001\n",
      "epoch:  502\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4851e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2742e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 504/600\n",
      "epoch:  503\n",
      "Learning rate:  0.0001\n",
      "epoch:  503\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0028 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9966 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9984 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.3089e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 505/600\n",
      "epoch:  504\n",
      "Learning rate:  0.0001\n",
      "epoch:  504\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.3754e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3047e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 506/600\n",
      "epoch:  505\n",
      "Learning rate:  0.0001\n",
      "epoch:  505\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0015 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9963 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9983 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.3087e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 507/600\n",
      "epoch:  506\n",
      "Learning rate:  0.0001\n",
      "epoch:  506\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.3207e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3073e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 508/600\n",
      "epoch:  507\n",
      "Learning rate:  0.0001\n",
      "epoch:  507\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9623e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3015e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 509/600\n",
      "epoch:  508\n",
      "Learning rate:  0.0001\n",
      "epoch:  508\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4413e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2877e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 510/600\n",
      "epoch:  509\n",
      "Learning rate:  0.0001\n",
      "epoch:  509\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4198e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2925e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 511/600\n",
      "epoch:  510\n",
      "Learning rate:  0.0001\n",
      "epoch:  510\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.7532e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2908e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 512/600\n",
      "epoch:  511\n",
      "Learning rate:  0.0001\n",
      "epoch:  511\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8375e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2943e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 513/600\n",
      "epoch:  512\n",
      "Learning rate:  0.0001\n",
      "epoch:  512\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4694e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2888e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 514/600\n",
      "epoch:  513\n",
      "Learning rate:  0.0001\n",
      "epoch:  513\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9819e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2887e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 515/600\n",
      "epoch:  514\n",
      "Learning rate:  0.0001\n",
      "epoch:  514\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.3836e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2969e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 516/600\n",
      "epoch:  515\n",
      "Learning rate:  0.0001\n",
      "epoch:  515\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9675e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2915e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 517/600\n",
      "epoch:  516\n",
      "Learning rate:  0.0001\n",
      "epoch:  516\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0012 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9981 - prec_2: 0.9966 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.2955e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 518/600\n",
      "epoch:  517\n",
      "Learning rate:  0.0001\n",
      "epoch:  517\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.1768e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3150e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 519/600\n",
      "epoch:  518\n",
      "Learning rate:  0.0001\n",
      "epoch:  518\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.0488e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3068e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 520/600\n",
      "epoch:  519\n",
      "Learning rate:  0.0001\n",
      "epoch:  519\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.0340e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2776e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 521/600\n",
      "epoch:  520\n",
      "Learning rate:  0.0001\n",
      "epoch:  520\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.6378e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2723e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 522/600\n",
      "epoch:  521\n",
      "Learning rate:  0.0001\n",
      "epoch:  521\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.5627e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2738e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 523/600\n",
      "epoch:  522\n",
      "Learning rate:  0.0001\n",
      "epoch:  522\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0014 - acc: 0.9993 - prec: 0.9963 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9985 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.2966e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 524/600\n",
      "epoch:  523\n",
      "Learning rate:  0.0001\n",
      "epoch:  523\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4131e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2855e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 525/600\n",
      "epoch:  524\n",
      "Learning rate:  0.0001\n",
      "epoch:  524\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4113e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2803e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 526/600\n",
      "epoch:  525\n",
      "Learning rate:  0.0001\n",
      "epoch:  525\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0024 - acc: 0.9986 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9968 - recall_1: 0.9985 - prec_2: 0.9968 - recall_2: 0.9981 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 2.2923e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 527/600\n",
      "epoch:  526\n",
      "Learning rate:  0.0001\n",
      "epoch:  526\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.6443e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3272e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 528/600\n",
      "epoch:  527\n",
      "Learning rate:  0.0001\n",
      "epoch:  527\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5874e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3035e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 529/600\n",
      "epoch:  528\n",
      "Learning rate:  0.0001\n",
      "epoch:  528\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.6291e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2954e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 530/600\n",
      "epoch:  529\n",
      "Learning rate:  0.0001\n",
      "epoch:  529\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.0477e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2914e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 531/600\n",
      "epoch:  530\n",
      "Learning rate:  0.0001\n",
      "epoch:  530\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0011 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2837e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 532/600\n",
      "epoch:  531\n",
      "Learning rate:  0.0001\n",
      "epoch:  531\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.6972e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2901e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 533/600\n",
      "epoch:  532\n",
      "Learning rate:  0.0001\n",
      "epoch:  532\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.1885e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3032e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 534/600\n",
      "epoch:  533\n",
      "Learning rate:  0.0001\n",
      "epoch:  533\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.8967e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2842e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 535/600\n",
      "epoch:  534\n",
      "Learning rate:  0.0001\n",
      "epoch:  534\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.2110e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2663e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 536/600\n",
      "epoch:  535\n",
      "Learning rate:  0.0001\n",
      "epoch:  535\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8381e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2836e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 537/600\n",
      "epoch:  536\n",
      "Learning rate:  0.0001\n",
      "epoch:  536\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.3447e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2740e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 538/600\n",
      "epoch:  537\n",
      "Learning rate:  0.0001\n",
      "epoch:  537\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2792e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2679e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 539/600\n",
      "epoch:  538\n",
      "Learning rate:  0.0001\n",
      "epoch:  538\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4979e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2872e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 540/600\n",
      "epoch:  539\n",
      "Learning rate:  0.0001\n",
      "epoch:  539\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4064e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2811e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 541/600\n",
      "epoch:  540\n",
      "Learning rate:  0.0001\n",
      "epoch:  540\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9391e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2714e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 542/600\n",
      "epoch:  541\n",
      "Learning rate:  0.0001\n",
      "epoch:  541\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9143e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2568e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 543/600\n",
      "epoch:  542\n",
      "Learning rate:  0.0001\n",
      "epoch:  542\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9962e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2641e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 544/600\n",
      "epoch:  543\n",
      "Learning rate:  0.0001\n",
      "epoch:  543\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5909e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2981e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 545/600\n",
      "epoch:  544\n",
      "Learning rate:  0.0001\n",
      "epoch:  544\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2657e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2800e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 546/600\n",
      "epoch:  545\n",
      "Learning rate:  0.0001\n",
      "epoch:  545\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.5033e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3116e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 547/600\n",
      "epoch:  546\n",
      "Learning rate:  0.0001\n",
      "epoch:  546\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9192e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2981e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 548/600\n",
      "epoch:  547\n",
      "Learning rate:  0.0001\n",
      "epoch:  547\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1435e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3028e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 549/600\n",
      "epoch:  548\n",
      "Learning rate:  0.0001\n",
      "epoch:  548\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.0930e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3290e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 550/600\n",
      "epoch:  549\n",
      "Learning rate:  0.0001\n",
      "epoch:  549\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4556e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3215e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 551/600\n",
      "epoch:  550\n",
      "Learning rate:  0.0001\n",
      "epoch:  550\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4452e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3233e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 552/600\n",
      "epoch:  551\n",
      "Learning rate:  0.0001\n",
      "epoch:  551\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7851e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3204e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 553/600\n",
      "epoch:  552\n",
      "Learning rate:  0.0001\n",
      "epoch:  552\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.6233e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3077e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 554/600\n",
      "epoch:  553\n",
      "Learning rate:  0.0001\n",
      "epoch:  553\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5507e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3131e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 555/600\n",
      "epoch:  554\n",
      "Learning rate:  0.0001\n",
      "epoch:  554\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7541e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2951e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 556/600\n",
      "epoch:  555\n",
      "Learning rate:  0.0001\n",
      "epoch:  555\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.5871e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2933e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 557/600\n",
      "epoch:  556\n",
      "Learning rate:  0.0001\n",
      "epoch:  556\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.2848e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3014e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 558/600\n",
      "epoch:  557\n",
      "Learning rate:  0.0001\n",
      "epoch:  557\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.3735e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3207e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 559/600\n",
      "epoch:  558\n",
      "Learning rate:  0.0001\n",
      "epoch:  558\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.9660e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3223e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 560/600\n",
      "epoch:  559\n",
      "Learning rate:  0.0001\n",
      "epoch:  559\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9696e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3102e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 561/600\n",
      "epoch:  560\n",
      "Learning rate:  0.0001\n",
      "epoch:  560\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.5543e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2977e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 562/600\n",
      "epoch:  561\n",
      "Learning rate:  0.0001\n",
      "epoch:  561\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2655e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3059e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 563/600\n",
      "epoch:  562\n",
      "Learning rate:  0.0001\n",
      "epoch:  562\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7510e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2937e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 564/600\n",
      "epoch:  563\n",
      "Learning rate:  0.0001\n",
      "epoch:  563\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.2862e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2836e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 565/600\n",
      "epoch:  564\n",
      "Learning rate:  0.0001\n",
      "epoch:  564\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8343e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2979e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 566/600\n",
      "epoch:  565\n",
      "Learning rate:  0.0001\n",
      "epoch:  565\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.4096e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.3012e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 567/600\n",
      "epoch:  566\n",
      "Learning rate:  0.0001\n",
      "epoch:  566\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4579e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2723e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 568/600\n",
      "epoch:  567\n",
      "Learning rate:  0.0001\n",
      "epoch:  567\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.6705e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2604e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 569/600\n",
      "epoch:  568\n",
      "Learning rate:  0.0001\n",
      "epoch:  568\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9028e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2513e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 570/600\n",
      "epoch:  569\n",
      "Learning rate:  0.0001\n",
      "epoch:  569\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.0757e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2611e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 571/600\n",
      "epoch:  570\n",
      "Learning rate:  0.0001\n",
      "epoch:  570\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.3324e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2472e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 572/600\n",
      "epoch:  571\n",
      "Learning rate:  0.0001\n",
      "epoch:  571\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.5187e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2718e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 573/600\n",
      "epoch:  572\n",
      "Learning rate:  0.0001\n",
      "epoch:  572\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.9992e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2569e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 574/600\n",
      "epoch:  573\n",
      "Learning rate:  0.0001\n",
      "epoch:  573\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0012 - acc: 0.9993 - prec: 0.9970 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9985 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.3036e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 575/600\n",
      "epoch:  574\n",
      "Learning rate:  0.0001\n",
      "epoch:  574\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.3127e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2916e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 576/600\n",
      "epoch:  575\n",
      "Learning rate:  0.0001\n",
      "epoch:  575\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.0878e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2810e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 577/600\n",
      "epoch:  576\n",
      "Learning rate:  0.0001\n",
      "epoch:  576\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4341e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2867e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 578/600\n",
      "epoch:  577\n",
      "Learning rate:  0.0001\n",
      "epoch:  577\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4960e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2703e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 579/600\n",
      "epoch:  578\n",
      "Learning rate:  0.0001\n",
      "epoch:  578\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.6469e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2491e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 580/600\n",
      "epoch:  579\n",
      "Learning rate:  0.0001\n",
      "epoch:  579\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.3228e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2636e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 581/600\n",
      "epoch:  580\n",
      "Learning rate:  0.0001\n",
      "epoch:  580\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.6142e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2485e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 582/600\n",
      "epoch:  581\n",
      "Learning rate:  0.0001\n",
      "epoch:  581\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.6502e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2549e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 583/600\n",
      "epoch:  582\n",
      "Learning rate:  0.0001\n",
      "epoch:  582\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.1935e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2545e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 584/600\n",
      "epoch:  583\n",
      "Learning rate:  0.0001\n",
      "epoch:  583\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.1306e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2579e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 585/600\n",
      "epoch:  584\n",
      "Learning rate:  0.0001\n",
      "epoch:  584\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.1742e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2428e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 586/600\n",
      "epoch:  585\n",
      "Learning rate:  0.0001\n",
      "epoch:  585\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2708e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2383e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 587/600\n",
      "epoch:  586\n",
      "Learning rate:  0.0001\n",
      "epoch:  586\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.9376e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2384e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 588/600\n",
      "epoch:  587\n",
      "Learning rate:  0.0001\n",
      "epoch:  587\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.6621e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2568e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 589/600\n",
      "epoch:  588\n",
      "Learning rate:  0.0001\n",
      "epoch:  588\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.7384e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2506e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 590/600\n",
      "epoch:  589\n",
      "Learning rate:  0.0001\n",
      "epoch:  589\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.1893e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2418e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 591/600\n",
      "epoch:  590\n",
      "Learning rate:  0.0001\n",
      "epoch:  590\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.0712e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2420e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 592/600\n",
      "epoch:  591\n",
      "Learning rate:  0.0001\n",
      "epoch:  591\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.4811e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2495e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 593/600\n",
      "epoch:  592\n",
      "Learning rate:  0.0001\n",
      "epoch:  592\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.3751e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2676e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 594/600\n",
      "epoch:  593\n",
      "Learning rate:  0.0001\n",
      "epoch:  593\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8177e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2804e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 595/600\n",
      "epoch:  594\n",
      "Learning rate:  0.0001\n",
      "epoch:  594\n",
      "Learning rate:  0.0001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.6015e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2842e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 596/600\n",
      "epoch:  595\n",
      "Learning rate:  0.0001\n",
      "epoch:  595\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1285e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2696e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 597/600\n",
      "epoch:  596\n",
      "Learning rate:  0.0001\n",
      "epoch:  596\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.4424e-04 - acc: 0.9993 - prec: 1.0000 - recall: 0.9986 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 0.9963 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.2675e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 598/600\n",
      "epoch:  597\n",
      "Learning rate:  0.0001\n",
      "epoch:  597\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0014 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9987 - prec_2: 0.9970 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 2.2780e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 599/600\n",
      "epoch:  598\n",
      "Learning rate:  0.0001\n",
      "epoch:  598\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7540e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2565e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 600/600\n",
      "epoch:  599\n",
      "Learning rate:  0.0001\n",
      "epoch:  599\n",
      "Learning rate:  0.0001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.4799e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.2709e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input (InputLayer)              (None, 100, 3)       0                                            \n",
      "__________________________________________________________________________________________________\n",
      "zero_padding1d_3 (ZeroPadding1D (None, 106, 3)       0           input[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "conv1/conv (Conv1D)             (None, 100, 10)      220         zero_padding1d_3[0][0]           \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_0_bn (BatchNormali (None, 100, 10)      40          conv1/conv[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_0_relu (Activation (None, 100, 10)      0           conv2_block1_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_1_conv (Conv1D)    (None, 100, 96)      4896        conv2_block1_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_1_bn (BatchNormali (None, 100, 96)      384         conv2_block1_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_1_relu (Activation (None, 100, 96)      0           conv2_block1_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_2_conv (Conv1D)    (None, 100, 24)      23064       conv2_block1_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block1_concat (Concatenat (None, 100, 34)      0           conv1/conv[0][0]                 \n",
      "                                                                 conv2_block1_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_0_bn (BatchNormali (None, 100, 34)      136         conv2_block1_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_0_relu (Activation (None, 100, 34)      0           conv2_block2_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_1_conv (Conv1D)    (None, 100, 96)      16416       conv2_block2_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_1_bn (BatchNormali (None, 100, 96)      384         conv2_block2_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_1_relu (Activation (None, 100, 96)      0           conv2_block2_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_2_conv (Conv1D)    (None, 100, 24)      23064       conv2_block2_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block2_concat (Concatenat (None, 100, 58)      0           conv2_block1_concat[0][0]        \n",
      "                                                                 conv2_block2_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_0_bn (BatchNormali (None, 100, 58)      232         conv2_block2_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_0_relu (Activation (None, 100, 58)      0           conv2_block3_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_1_conv (Conv1D)    (None, 100, 96)      27936       conv2_block3_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_1_bn (BatchNormali (None, 100, 96)      384         conv2_block3_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_1_relu (Activation (None, 100, 96)      0           conv2_block3_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_2_conv (Conv1D)    (None, 100, 24)      23064       conv2_block3_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block3_concat (Concatenat (None, 100, 82)      0           conv2_block2_concat[0][0]        \n",
      "                                                                 conv2_block3_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_0_bn (BatchNormali (None, 100, 82)      328         conv2_block3_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_0_relu (Activation (None, 100, 82)      0           conv2_block4_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_1_conv (Conv1D)    (None, 100, 96)      39456       conv2_block4_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_1_bn (BatchNormali (None, 100, 96)      384         conv2_block4_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_1_relu (Activation (None, 100, 96)      0           conv2_block4_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_2_conv (Conv1D)    (None, 100, 24)      23064       conv2_block4_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2_block4_concat (Concatenat (None, 100, 106)     0           conv2_block3_concat[0][0]        \n",
      "                                                                 conv2_block4_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool2_bn (BatchNormalization)   (None, 100, 106)     424         conv2_block4_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool2_relu (Activation)         (None, 100, 106)     0           pool2_bn[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "pool2_conv (Conv1D)             (None, 100, 53)      5618        pool2_relu[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "pool2_pool (MaxPooling1D)       (None, 49, 53)       0           pool2_conv[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_0_bn (BatchNormali (None, 49, 53)       212         pool2_pool[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_0_relu (Activation (None, 49, 53)       0           conv3_block1_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_1_conv (Conv1D)    (None, 49, 96)       25536       conv3_block1_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_1_bn (BatchNormali (None, 49, 96)       384         conv3_block1_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_1_relu (Activation (None, 49, 96)       0           conv3_block1_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_2_conv (Conv1D)    (None, 49, 24)       23064       conv3_block1_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block1_concat (Concatenat (None, 49, 77)       0           pool2_pool[0][0]                 \n",
      "                                                                 conv3_block1_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_0_bn (BatchNormali (None, 49, 77)       308         conv3_block1_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_0_relu (Activation (None, 49, 77)       0           conv3_block2_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_1_conv (Conv1D)    (None, 49, 96)       37056       conv3_block2_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_1_bn (BatchNormali (None, 49, 96)       384         conv3_block2_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_1_relu (Activation (None, 49, 96)       0           conv3_block2_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_2_conv (Conv1D)    (None, 49, 24)       23064       conv3_block2_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block2_concat (Concatenat (None, 49, 101)      0           conv3_block1_concat[0][0]        \n",
      "                                                                 conv3_block2_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_0_bn (BatchNormali (None, 49, 101)      404         conv3_block2_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_0_relu (Activation (None, 49, 101)      0           conv3_block3_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_1_conv (Conv1D)    (None, 49, 96)       48576       conv3_block3_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_1_bn (BatchNormali (None, 49, 96)       384         conv3_block3_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_1_relu (Activation (None, 49, 96)       0           conv3_block3_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_2_conv (Conv1D)    (None, 49, 24)       23064       conv3_block3_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block3_concat (Concatenat (None, 49, 125)      0           conv3_block2_concat[0][0]        \n",
      "                                                                 conv3_block3_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_0_bn (BatchNormali (None, 49, 125)      500         conv3_block3_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_0_relu (Activation (None, 49, 125)      0           conv3_block4_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_1_conv (Conv1D)    (None, 49, 96)       60096       conv3_block4_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_1_bn (BatchNormali (None, 49, 96)       384         conv3_block4_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_1_relu (Activation (None, 49, 96)       0           conv3_block4_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_2_conv (Conv1D)    (None, 49, 24)       23064       conv3_block4_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv3_block4_concat (Concatenat (None, 49, 149)      0           conv3_block3_concat[0][0]        \n",
      "                                                                 conv3_block4_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool3_bn (BatchNormalization)   (None, 49, 149)      596         conv3_block4_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool3_relu (Activation)         (None, 49, 149)      0           pool3_bn[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "pool3_conv (Conv1D)             (None, 49, 74)       11026       pool3_relu[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "pool3_pool (MaxPooling1D)       (None, 24, 74)       0           pool3_conv[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_0_bn (BatchNormali (None, 24, 74)       296         pool3_pool[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_0_relu (Activation (None, 24, 74)       0           conv4_block1_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_1_conv (Conv1D)    (None, 24, 96)       35616       conv4_block1_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_1_bn (BatchNormali (None, 24, 96)       384         conv4_block1_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_1_relu (Activation (None, 24, 96)       0           conv4_block1_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block1_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block1_concat (Concatenat (None, 24, 98)       0           pool3_pool[0][0]                 \n",
      "                                                                 conv4_block1_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_0_bn (BatchNormali (None, 24, 98)       392         conv4_block1_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_0_relu (Activation (None, 24, 98)       0           conv4_block2_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_1_conv (Conv1D)    (None, 24, 96)       47136       conv4_block2_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_1_bn (BatchNormali (None, 24, 96)       384         conv4_block2_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_1_relu (Activation (None, 24, 96)       0           conv4_block2_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block2_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block2_concat (Concatenat (None, 24, 122)      0           conv4_block1_concat[0][0]        \n",
      "                                                                 conv4_block2_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_0_bn (BatchNormali (None, 24, 122)      488         conv4_block2_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_0_relu (Activation (None, 24, 122)      0           conv4_block3_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_1_conv (Conv1D)    (None, 24, 96)       58656       conv4_block3_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_1_bn (BatchNormali (None, 24, 96)       384         conv4_block3_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_1_relu (Activation (None, 24, 96)       0           conv4_block3_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block3_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block3_concat (Concatenat (None, 24, 146)      0           conv4_block2_concat[0][0]        \n",
      "                                                                 conv4_block3_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_0_bn (BatchNormali (None, 24, 146)      584         conv4_block3_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_0_relu (Activation (None, 24, 146)      0           conv4_block4_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_1_conv (Conv1D)    (None, 24, 96)       70176       conv4_block4_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_1_bn (BatchNormali (None, 24, 96)       384         conv4_block4_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_1_relu (Activation (None, 24, 96)       0           conv4_block4_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block4_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block4_concat (Concatenat (None, 24, 170)      0           conv4_block3_concat[0][0]        \n",
      "                                                                 conv4_block4_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_0_bn (BatchNormali (None, 24, 170)      680         conv4_block4_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_0_relu (Activation (None, 24, 170)      0           conv4_block5_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_1_conv (Conv1D)    (None, 24, 96)       81696       conv4_block5_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_1_bn (BatchNormali (None, 24, 96)       384         conv4_block5_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_1_relu (Activation (None, 24, 96)       0           conv4_block5_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block5_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block5_concat (Concatenat (None, 24, 194)      0           conv4_block4_concat[0][0]        \n",
      "                                                                 conv4_block5_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_0_bn (BatchNormali (None, 24, 194)      776         conv4_block5_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_0_relu (Activation (None, 24, 194)      0           conv4_block6_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_1_conv (Conv1D)    (None, 24, 96)       93216       conv4_block6_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_1_bn (BatchNormali (None, 24, 96)       384         conv4_block6_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_1_relu (Activation (None, 24, 96)       0           conv4_block6_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block6_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block6_concat (Concatenat (None, 24, 218)      0           conv4_block5_concat[0][0]        \n",
      "                                                                 conv4_block6_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_0_bn (BatchNormali (None, 24, 218)      872         conv4_block6_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_0_relu (Activation (None, 24, 218)      0           conv4_block7_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_1_conv (Conv1D)    (None, 24, 96)       104736      conv4_block7_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_1_bn (BatchNormali (None, 24, 96)       384         conv4_block7_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_1_relu (Activation (None, 24, 96)       0           conv4_block7_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block7_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block7_concat (Concatenat (None, 24, 242)      0           conv4_block6_concat[0][0]        \n",
      "                                                                 conv4_block7_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_0_bn (BatchNormali (None, 24, 242)      968         conv4_block7_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_0_relu (Activation (None, 24, 242)      0           conv4_block8_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_1_conv (Conv1D)    (None, 24, 96)       116256      conv4_block8_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_1_bn (BatchNormali (None, 24, 96)       384         conv4_block8_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_1_relu (Activation (None, 24, 96)       0           conv4_block8_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block8_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block8_concat (Concatenat (None, 24, 266)      0           conv4_block7_concat[0][0]        \n",
      "                                                                 conv4_block8_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_0_bn (BatchNormali (None, 24, 266)      1064        conv4_block8_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_0_relu (Activation (None, 24, 266)      0           conv4_block9_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_1_conv (Conv1D)    (None, 24, 96)       127776      conv4_block9_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_1_bn (BatchNormali (None, 24, 96)       384         conv4_block9_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_1_relu (Activation (None, 24, 96)       0           conv4_block9_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_2_conv (Conv1D)    (None, 24, 24)       23064       conv4_block9_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block9_concat (Concatenat (None, 24, 290)      0           conv4_block8_concat[0][0]        \n",
      "                                                                 conv4_block9_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_0_bn (BatchNormal (None, 24, 290)      1160        conv4_block9_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_0_relu (Activatio (None, 24, 290)      0           conv4_block10_0_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_1_conv (Conv1D)   (None, 24, 96)       139296      conv4_block10_0_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_1_bn (BatchNormal (None, 24, 96)       384         conv4_block10_1_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_1_relu (Activatio (None, 24, 96)       0           conv4_block10_1_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_2_conv (Conv1D)   (None, 24, 24)       23064       conv4_block10_1_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block10_concat (Concatena (None, 24, 314)      0           conv4_block9_concat[0][0]        \n",
      "                                                                 conv4_block10_2_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_0_bn (BatchNormal (None, 24, 314)      1256        conv4_block10_concat[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_0_relu (Activatio (None, 24, 314)      0           conv4_block11_0_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_1_conv (Conv1D)   (None, 24, 96)       150816      conv4_block11_0_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_1_bn (BatchNormal (None, 24, 96)       384         conv4_block11_1_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_1_relu (Activatio (None, 24, 96)       0           conv4_block11_1_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_2_conv (Conv1D)   (None, 24, 24)       23064       conv4_block11_1_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block11_concat (Concatena (None, 24, 338)      0           conv4_block10_concat[0][0]       \n",
      "                                                                 conv4_block11_2_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_0_bn (BatchNormal (None, 24, 338)      1352        conv4_block11_concat[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_0_relu (Activatio (None, 24, 338)      0           conv4_block12_0_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_1_conv (Conv1D)   (None, 24, 96)       162336      conv4_block12_0_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_1_bn (BatchNormal (None, 24, 96)       384         conv4_block12_1_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_1_relu (Activatio (None, 24, 96)       0           conv4_block12_1_bn[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_2_conv (Conv1D)   (None, 24, 24)       23064       conv4_block12_1_relu[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "conv4_block12_concat (Concatena (None, 24, 362)      0           conv4_block11_concat[0][0]       \n",
      "                                                                 conv4_block12_2_conv[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "pool4_bn (BatchNormalization)   (None, 24, 362)      1448        conv4_block12_concat[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "pool4_relu (Activation)         (None, 24, 362)      0           pool4_bn[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "pool4_conv (Conv1D)             (None, 24, 181)      65522       pool4_relu[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "pool4_pool (MaxPooling1D)       (None, 11, 181)      0           pool4_conv[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_0_bn (BatchNormali (None, 11, 181)      724         pool4_pool[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_0_relu (Activation (None, 11, 181)      0           conv5_block1_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_1_conv (Conv1D)    (None, 11, 96)       86976       conv5_block1_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_1_bn (BatchNormali (None, 11, 96)       384         conv5_block1_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_1_relu (Activation (None, 11, 96)       0           conv5_block1_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_2_conv (Conv1D)    (None, 11, 24)       23064       conv5_block1_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block1_concat (Concatenat (None, 11, 205)      0           pool4_pool[0][0]                 \n",
      "                                                                 conv5_block1_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_0_bn (BatchNormali (None, 11, 205)      820         conv5_block1_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_0_relu (Activation (None, 11, 205)      0           conv5_block2_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_1_conv (Conv1D)    (None, 11, 96)       98496       conv5_block2_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_1_bn (BatchNormali (None, 11, 96)       384         conv5_block2_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_1_relu (Activation (None, 11, 96)       0           conv5_block2_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_2_conv (Conv1D)    (None, 11, 24)       23064       conv5_block2_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block2_concat (Concatenat (None, 11, 229)      0           conv5_block1_concat[0][0]        \n",
      "                                                                 conv5_block2_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_0_bn (BatchNormali (None, 11, 229)      916         conv5_block2_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_0_relu (Activation (None, 11, 229)      0           conv5_block3_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_1_conv (Conv1D)    (None, 11, 96)       110016      conv5_block3_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_1_bn (BatchNormali (None, 11, 96)       384         conv5_block3_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_1_relu (Activation (None, 11, 96)       0           conv5_block3_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_2_conv (Conv1D)    (None, 11, 24)       23064       conv5_block3_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block3_concat (Concatenat (None, 11, 253)      0           conv5_block2_concat[0][0]        \n",
      "                                                                 conv5_block3_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_0_bn (BatchNormali (None, 11, 253)      1012        conv5_block3_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_0_relu (Activation (None, 11, 253)      0           conv5_block4_0_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_1_conv (Conv1D)    (None, 11, 96)       121536      conv5_block4_0_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_1_bn (BatchNormali (None, 11, 96)       384         conv5_block4_1_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_1_relu (Activation (None, 11, 96)       0           conv5_block4_1_bn[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_2_conv (Conv1D)    (None, 11, 24)       23064       conv5_block4_1_relu[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv5_block4_concat (Concatenat (None, 11, 277)      0           conv5_block3_concat[0][0]        \n",
      "                                                                 conv5_block4_2_conv[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool5_bn (BatchNormalization)   (None, 11, 277)      1108        conv5_block4_concat[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "pool5_relu (Activation)         (None, 11, 277)      0           pool5_bn[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "pool5_conv (Conv1D)             (None, 11, 138)      38226       pool5_relu[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "pool5_pool (MaxPooling1D)       (None, 5, 138)       0           pool5_conv[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "avg_pool (GlobalAveragePooling1 (None, 138)          0           pool5_pool[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "fc (Dense)                      (None, 3)            417         avg_pool[0][0]                   \n",
      "==================================================================================================\n",
      "Total params: 2,567,581\n",
      "Trainable params: 2,553,425\n",
      "Non-trainable params: 14,156\n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 1440 samples, validate on 720 samples\n",
      "Epoch 1/600\n",
      "epoch:  0\n",
      "Learning rate:  0.01\n",
      "epoch:  0\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 21s 15ms/step - loss: 0.3489 - acc: 0.8729 - prec: 0.8484 - recall: 0.9968 - prec_1: 0.8721 - recall_1: 0.8027 - prec_2: 0.9299 - recall_2: 0.8208 - f1_m: 0.8727 - recall_m: 0.8361 - precision_m: 0.9239 - val_loss: 0.0982 - val_acc: 0.9944 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4389 - val_prec_2: 0.3751 - val_recall_2: 0.3764 - val_f1_m: 0.9944 - val_recall_m: 0.9944 - val_precision_m: 0.9944\n",
      "Epoch 2/600\n",
      "epoch:  1\n",
      "Learning rate:  0.01\n",
      "epoch:  1\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0372 - acc: 0.9951 - prec: 0.9908 - recall: 1.0000 - prec_1: 0.9931 - recall_1: 0.9941 - prec_2: 1.0000 - recall_2: 0.9922 - f1_m: 0.9901 - recall_m: 0.9861 - precision_m: 0.9951 - val_loss: 0.2670 - val_acc: 0.8833 - val_prec: 0.3489 - val_recall: 0.2713 - val_prec_1: 0.4037 - val_recall_1: 0.3889 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.8565 - val_recall_m: 0.8014 - val_precision_m: 0.9606\n",
      "Epoch 3/600\n",
      "epoch:  2\n",
      "Learning rate:  0.01\n",
      "epoch:  2\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0471 - acc: 0.9854 - prec: 0.9723 - recall: 0.9889 - prec_1: 0.9803 - recall_1: 0.9794 - prec_2: 1.0000 - recall_2: 0.9879 - f1_m: 0.9854 - recall_m: 0.9854 - precision_m: 0.9854 - val_loss: 0.0162 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 4/600\n",
      "epoch:  3\n",
      "Learning rate:  0.01\n",
      "epoch:  3\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0208 - acc: 0.9951 - prec: 0.9941 - recall: 0.9983 - prec_1: 0.9946 - recall_1: 0.9960 - prec_2: 0.9933 - recall_2: 0.9921 - f1_m: 0.9955 - recall_m: 0.9951 - precision_m: 0.9958 - val_loss: 0.0102 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 5/600\n",
      "epoch:  4\n",
      "Learning rate:  0.01\n",
      "epoch:  4\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0089 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9975 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9981 - f1_m: 0.9990 - recall_m: 0.9986 - precision_m: 0.9993 - val_loss: 0.0049 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 6/600\n",
      "epoch:  5\n",
      "Learning rate:  0.01\n",
      "epoch:  5\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0052 - acc: 0.9979 - prec: 0.9978 - recall: 1.0000 - prec_1: 0.9964 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9933 - f1_m: 0.9983 - recall_m: 0.9979 - precision_m: 0.9986 - val_loss: 0.0041 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 7/600\n",
      "epoch:  6\n",
      "Learning rate:  0.01\n",
      "epoch:  6\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0060 - acc: 0.9986 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9962 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9961 - f1_m: 0.9983 - recall_m: 0.9979 - precision_m: 0.9986 - val_loss: 0.0027 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 8/600\n",
      "epoch:  7\n",
      "Learning rate:  0.01\n",
      "epoch:  7\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0024 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9981 - prec_2: 0.9978 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0039 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 9/600\n",
      "epoch:  8\n",
      "Learning rate:  0.01\n",
      "epoch:  8\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0042 - acc: 0.9986 - prec: 0.9974 - recall: 1.0000 - prec_1: 0.9982 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9966 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 0.0030 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 10/600\n",
      "epoch:  9\n",
      "Learning rate:  0.01\n",
      "epoch:  9\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0044 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9975 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9981 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0020 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 11/600\n",
      "epoch:  10\n",
      "Learning rate:  0.01\n",
      "epoch:  10\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0027 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9972 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9979 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0017 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 12/600\n",
      "epoch:  11\n",
      "Learning rate:  0.01\n",
      "epoch:  11\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0042 - acc: 0.9986 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9958 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9963 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 0.0013 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 13/600\n",
      "epoch:  12\n",
      "Learning rate:  0.01\n",
      "epoch:  12\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0021 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9981 - prec_2: 0.9977 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0011 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 14/600\n",
      "epoch:  13\n",
      "Learning rate:  0.01\n",
      "epoch:  13\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0037 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9982 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9982 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 6.9050e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 15/600\n",
      "epoch:  14\n",
      "Learning rate:  0.01\n",
      "epoch:  14\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0020 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 7.9675e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 16/600\n",
      "epoch:  15\n",
      "Learning rate:  0.01\n",
      "epoch:  15\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0029 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9968 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9986 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 6.2784e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 17/600\n",
      "epoch:  16\n",
      "Learning rate:  0.01\n",
      "epoch:  16\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0023 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 5.7835e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 18/600\n",
      "epoch:  17\n",
      "Learning rate:  0.01\n",
      "epoch:  17\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0014 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 5.6059e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 19/600\n",
      "epoch:  18\n",
      "Learning rate:  0.01\n",
      "epoch:  18\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.9810e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.8933e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 20/600\n",
      "epoch:  19\n",
      "Learning rate:  0.01\n",
      "epoch:  19\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0013 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9975 - prec_2: 0.9968 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 5.6692e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 21/600\n",
      "epoch:  20\n",
      "Learning rate:  0.01\n",
      "epoch:  20\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.1719e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 5.2794e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 22/600\n",
      "epoch:  21\n",
      "Learning rate:  0.01\n",
      "epoch:  21\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0013 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9977 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9981 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 3.1030e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 23/600\n",
      "epoch:  22\n",
      "Learning rate:  0.01\n",
      "epoch:  22\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.5348e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 3.5427e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 24/600\n",
      "epoch:  23\n",
      "Learning rate:  0.01\n",
      "epoch:  23\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.4931e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 2.7152e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 25/600\n",
      "epoch:  24\n",
      "Learning rate:  0.01\n",
      "epoch:  24\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0029 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9984 - prec_2: 0.9968 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0015 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 26/600\n",
      "epoch:  25\n",
      "Learning rate:  0.01\n",
      "epoch:  25\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.2400e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0012 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 27/600\n",
      "epoch:  26\n",
      "Learning rate:  0.01\n",
      "epoch:  26\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.1501e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0013 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 28/600\n",
      "epoch:  27\n",
      "Learning rate:  0.01\n",
      "epoch:  27\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.6737e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0013 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 29/600\n",
      "epoch:  28\n",
      "Learning rate:  0.01\n",
      "epoch:  28\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0041 - acc: 0.9986 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9937 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9969 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 0.0048 - val_acc: 0.9972 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4431 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9979 - val_recall_m: 0.9972 - val_precision_m: 0.9986\n",
      "Epoch 30/600\n",
      "epoch:  29\n",
      "Learning rate:  0.01\n",
      "epoch:  29\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0016 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9980 - prec_2: 0.9979 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0012 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 31/600\n",
      "epoch:  30\n",
      "Learning rate:  0.01\n",
      "epoch:  30\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.4793e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 7.1656e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 32/600\n",
      "epoch:  31\n",
      "Learning rate:  0.01\n",
      "epoch:  31\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.9216e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.9238e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 33/600\n",
      "epoch:  32\n",
      "Learning rate:  0.01\n",
      "epoch:  32\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0011 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 7.8629e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 34/600\n",
      "epoch:  33\n",
      "Learning rate:  0.01\n",
      "epoch:  33\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0131 - acc: 0.9958 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9917 - prec_2: 0.9833 - recall_2: 1.0000 - f1_m: 0.9958 - recall_m: 0.9958 - precision_m: 0.9958 - val_loss: 0.0082 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 35/600\n",
      "epoch:  34\n",
      "Learning rate:  0.01\n",
      "epoch:  34\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0225 - acc: 0.9924 - prec: 0.9980 - recall: 1.0000 - prec_1: 0.9837 - recall_1: 0.9960 - prec_2: 0.9974 - recall_2: 0.9817 - f1_m: 0.9924 - recall_m: 0.9924 - precision_m: 0.9924 - val_loss: 0.3573 - val_acc: 0.8361 - val_prec: 0.3556 - val_recall: 0.1843 - val_prec_1: 0.3962 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.8361 - val_recall_m: 0.8361 - val_precision_m: 0.8361\n",
      "Epoch 36/600\n",
      "epoch:  35\n",
      "Learning rate:  0.01\n",
      "epoch:  35\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0030 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0149 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 37/600\n",
      "epoch:  36\n",
      "Learning rate:  0.01\n",
      "epoch:  36\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0038 - acc: 0.9986 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9964 - prec_2: 0.9948 - recall_2: 1.0000 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 0.0119 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 38/600\n",
      "epoch:  37\n",
      "Learning rate:  0.01\n",
      "epoch:  37\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0059 - acc: 0.9986 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9953 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9966 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 0.0076 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 39/600\n",
      "epoch:  38\n",
      "Learning rate:  0.01\n",
      "epoch:  38\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0029 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9985 - prec_2: 0.9974 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0039 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 40/600\n",
      "epoch:  39\n",
      "Learning rate:  0.01\n",
      "epoch:  39\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0023 - acc: 0.9986 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9958 - prec_2: 0.9940 - recall_2: 1.0000 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 0.0037 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 41/600\n",
      "epoch:  40\n",
      "Learning rate:  0.01\n",
      "epoch:  40\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0010 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0026 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 42/600\n",
      "epoch:  41\n",
      "Learning rate:  0.01\n",
      "epoch:  41\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0012 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0024 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 43/600\n",
      "epoch:  42\n",
      "Learning rate:  0.01\n",
      "epoch:  42\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0015 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9984 - prec_2: 0.9979 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0019 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 44/600\n",
      "epoch:  43\n",
      "Learning rate:  0.01\n",
      "epoch:  43\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.4921e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0021 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 45/600\n",
      "epoch:  44\n",
      "Learning rate:  0.01\n",
      "epoch:  44\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.9341e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0014 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 46/600\n",
      "epoch:  45\n",
      "Learning rate:  0.01\n",
      "epoch:  45\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0016 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9963 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9984 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 7.6225e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 47/600\n",
      "epoch:  46\n",
      "Learning rate:  0.01\n",
      "epoch:  46\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0043 - acc: 0.9986 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9966 - recall_1: 0.9986 - prec_2: 0.9975 - recall_2: 0.9982 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 8.9734e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 48/600\n",
      "epoch:  47\n",
      "Learning rate:  0.01\n",
      "epoch:  47\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.0544e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 8.6690e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 49/600\n",
      "epoch:  48\n",
      "Learning rate:  0.01\n",
      "epoch:  48\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.7080e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 8.2798e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 50/600\n",
      "epoch:  49\n",
      "Learning rate:  0.01\n",
      "epoch:  49\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.4328e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 7.6443e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 51/600\n",
      "epoch:  50\n",
      "Learning rate:  0.01\n",
      "epoch:  50\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0016 - acc: 0.9993 - prec: 1.0000 - recall: 0.9981 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 0.9975 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 9.6662e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 52/600\n",
      "epoch:  51\n",
      "Learning rate:  0.01\n",
      "epoch:  51\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.4426e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0011 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 53/600\n",
      "epoch:  52\n",
      "Learning rate:  0.01\n",
      "epoch:  52\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.6379e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0012 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 54/600\n",
      "epoch:  53\n",
      "Learning rate:  0.01\n",
      "epoch:  53\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0010 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9972 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9983 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 6.1357e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 55/600\n",
      "epoch:  54\n",
      "Learning rate:  0.01\n",
      "epoch:  54\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0010 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 7.1874e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 56/600\n",
      "epoch:  55\n",
      "Learning rate:  0.01\n",
      "epoch:  55\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.4671e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 9.1762e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 57/600\n",
      "epoch:  56\n",
      "Learning rate:  0.01\n",
      "epoch:  56\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.3601e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0010 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 58/600\n",
      "epoch:  57\n",
      "Learning rate:  0.01\n",
      "epoch:  57\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.0512e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 9.4155e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 59/600\n",
      "epoch:  58\n",
      "Learning rate:  0.01\n",
      "epoch:  58\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.5725e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 8.5232e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 60/600\n",
      "epoch:  59\n",
      "Learning rate:  0.01\n",
      "epoch:  59\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.4344e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.7798e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 61/600\n",
      "epoch:  60\n",
      "Learning rate:  0.01\n",
      "epoch:  60\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.5480e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.5563e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 62/600\n",
      "epoch:  61\n",
      "Learning rate:  0.01\n",
      "epoch:  61\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4063e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 7.7631e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 63/600\n",
      "epoch:  62\n",
      "Learning rate:  0.01\n",
      "epoch:  62\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0038 - acc: 0.9986 - prec: 1.0000 - recall: 0.9948 - prec_1: 0.9966 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 8.6052e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 64/600\n",
      "epoch:  63\n",
      "Learning rate:  0.01\n",
      "epoch:  63\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0157 - acc: 0.9979 - prec: 0.9935 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9937 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 0.9976 - recall_m: 0.9972 - precision_m: 0.9979 - val_loss: 6.3006e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 65/600\n",
      "epoch:  64\n",
      "Learning rate:  0.01\n",
      "epoch:  64\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0011 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.5023e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 66/600\n",
      "epoch:  65\n",
      "Learning rate:  0.01\n",
      "epoch:  65\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.0790e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0014 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 67/600\n",
      "epoch:  66\n",
      "Learning rate:  0.01\n",
      "epoch:  66\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.4421e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0014 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 68/600\n",
      "epoch:  67\n",
      "Learning rate:  0.01\n",
      "epoch:  67\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.6375e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0010 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 69/600\n",
      "epoch:  68\n",
      "Learning rate:  0.01\n",
      "epoch:  68\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.4966e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0011 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 70/600\n",
      "epoch:  69\n",
      "Learning rate:  0.01\n",
      "epoch:  69\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.0468e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0012 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 71/600\n",
      "epoch:  70\n",
      "Learning rate:  0.01\n",
      "epoch:  70\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.2636e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0012 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 72/600\n",
      "epoch:  71\n",
      "Learning rate:  0.01\n",
      "epoch:  71\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.7722e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0013 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 73/600\n",
      "epoch:  72\n",
      "Learning rate:  0.01\n",
      "epoch:  72\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.5912e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0012 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 74/600\n",
      "epoch:  73\n",
      "Learning rate:  0.01\n",
      "epoch:  73\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.2296e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0013 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 75/600\n",
      "epoch:  74\n",
      "Learning rate:  0.01\n",
      "epoch:  74\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9743e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0015 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 76/600\n",
      "epoch:  75\n",
      "Learning rate:  0.01\n",
      "epoch:  75\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.8682e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0016 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 77/600\n",
      "epoch:  76\n",
      "Learning rate:  0.01\n",
      "epoch:  76\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.5567e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0013 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 78/600\n",
      "epoch:  77\n",
      "Learning rate:  0.01\n",
      "epoch:  77\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0015 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9985 - prec_2: 0.9968 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 8.3202e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 79/600\n",
      "epoch:  78\n",
      "Learning rate:  0.01\n",
      "epoch:  78\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0018 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9977 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9978 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 6.3420e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 80/600\n",
      "epoch:  79\n",
      "Learning rate:  0.01\n",
      "epoch:  79\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.8569e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 6.3891e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 81/600\n",
      "epoch:  80\n",
      "Learning rate:  0.01\n",
      "epoch:  80\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.9714e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0012 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 82/600\n",
      "epoch:  81\n",
      "Learning rate:  0.01\n",
      "epoch:  81\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.4231e-04 - acc: 0.9993 - prec: 0.9970 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9980 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0011 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 83/600\n",
      "epoch:  82\n",
      "Learning rate:  0.01\n",
      "epoch:  82\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0016 - acc: 0.9993 - prec: 1.0000 - recall: 0.9985 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 0.9978 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0012 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 84/600\n",
      "epoch:  83\n",
      "Learning rate:  0.01\n",
      "epoch:  83\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.4927e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 0.9997 - recall_m: 0.9993 - precision_m: 1.0000 - val_loss: 5.0352e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 85/600\n",
      "epoch:  84\n",
      "Learning rate:  0.01\n",
      "epoch:  84\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0016 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 9.4770e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 86/600\n",
      "epoch:  85\n",
      "Learning rate:  0.01\n",
      "epoch:  85\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0015 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9986 - prec_2: 0.9974 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0023 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 87/600\n",
      "epoch:  86\n",
      "Learning rate:  0.01\n",
      "epoch:  86\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0019 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9978 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9983 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 4.0589e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 88/600\n",
      "epoch:  87\n",
      "Learning rate:  0.01\n",
      "epoch:  87\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.2186e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 3.4219e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 89/600\n",
      "epoch:  88\n",
      "Learning rate:  0.01\n",
      "epoch:  88\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.8239e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 4.1155e-04 - val_acc: 1.0000 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3778 - val_f1_m: 1.0000 - val_recall_m: 1.0000 - val_precision_m: 1.0000\n",
      "Epoch 90/600\n",
      "epoch:  89\n",
      "Learning rate:  0.01\n",
      "epoch:  89\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0022 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9985 - prec_2: 0.9979 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0027 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 91/600\n",
      "epoch:  90\n",
      "Learning rate:  0.01\n",
      "epoch:  90\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.2424e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0037 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 92/600\n",
      "epoch:  91\n",
      "Learning rate:  0.01\n",
      "epoch:  91\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5357e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0038 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 93/600\n",
      "epoch:  92\n",
      "Learning rate:  0.01\n",
      "epoch:  92\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9401e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0037 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 94/600\n",
      "epoch:  93\n",
      "Learning rate:  0.01\n",
      "epoch:  93\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.5477e-04 - acc: 0.9993 - prec: 0.9970 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9984 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0033 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 95/600\n",
      "epoch:  94\n",
      "Learning rate:  0.01\n",
      "epoch:  94\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0026 - acc: 0.9986 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9977 - prec_2: 0.9944 - recall_2: 1.0000 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 0.0057 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 96/600\n",
      "epoch:  95\n",
      "Learning rate:  0.01\n",
      "epoch:  95\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0077 - acc: 0.9979 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9933 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9944 - f1_m: 0.9979 - recall_m: 0.9979 - precision_m: 0.9979 - val_loss: 0.0056 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 97/600\n",
      "epoch:  96\n",
      "Learning rate:  0.01\n",
      "epoch:  96\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.7762e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0031 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 98/600\n",
      "epoch:  97\n",
      "Learning rate:  0.01\n",
      "epoch:  97\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0026 - acc: 0.9993 - prec: 0.9970 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9981 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0027 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 99/600\n",
      "epoch:  98\n",
      "Learning rate:  0.01\n",
      "epoch:  98\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.3634e-04 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 0.9963 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 0.9983 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0015 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 100/600\n",
      "epoch:  99\n",
      "Learning rate:  0.01\n",
      "epoch:  99\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.2571e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0014 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 101/600\n",
      "epoch:  100\n",
      "Learning rate:  0.01\n",
      "epoch:  100\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0020 - acc: 0.9986 - prec: 0.9972 - recall: 0.9988 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 0.9963 - recall_2: 0.9980 - f1_m: 0.9986 - recall_m: 0.9986 - precision_m: 0.9986 - val_loss: 0.0022 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 102/600\n",
      "epoch:  101\n",
      "Learning rate:  0.01\n",
      "epoch:  101\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.9133e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0024 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 103/600\n",
      "epoch:  102\n",
      "Learning rate:  0.01\n",
      "epoch:  102\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.2809e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0024 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 104/600\n",
      "epoch:  103\n",
      "Learning rate:  0.01\n",
      "epoch:  103\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.3280e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0023 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 105/600\n",
      "epoch:  104\n",
      "Learning rate:  0.01\n",
      "epoch:  104\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.4416e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0021 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 106/600\n",
      "epoch:  105\n",
      "Learning rate:  0.01\n",
      "epoch:  105\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.7769e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0013 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 107/600\n",
      "epoch:  106\n",
      "Learning rate:  0.01\n",
      "epoch:  106\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5809e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0012 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 108/600\n",
      "epoch:  107\n",
      "Learning rate:  0.01\n",
      "epoch:  107\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5543e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0013 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 109/600\n",
      "epoch:  108\n",
      "Learning rate:  0.01\n",
      "epoch:  108\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.0395e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0014 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 110/600\n",
      "epoch:  109\n",
      "Learning rate:  0.01\n",
      "epoch:  109\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.9315e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0013 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 111/600\n",
      "epoch:  110\n",
      "Learning rate:  0.01\n",
      "epoch:  110\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5823e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0014 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 112/600\n",
      "epoch:  111\n",
      "Learning rate:  0.01\n",
      "epoch:  111\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.5944e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0014 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 113/600\n",
      "epoch:  112\n",
      "Learning rate:  0.01\n",
      "epoch:  112\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.1350e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0015 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 114/600\n",
      "epoch:  113\n",
      "Learning rate:  0.01\n",
      "epoch:  113\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.6846e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0016 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 115/600\n",
      "epoch:  114\n",
      "Learning rate:  0.01\n",
      "epoch:  114\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.3149e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0016 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 116/600\n",
      "epoch:  115\n",
      "Learning rate:  0.01\n",
      "epoch:  115\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.1371e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0017 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 117/600\n",
      "epoch:  116\n",
      "Learning rate:  0.01\n",
      "epoch:  116\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.7831e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0017 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 118/600\n",
      "epoch:  117\n",
      "Learning rate:  0.01\n",
      "epoch:  117\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.7062e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0017 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 119/600\n",
      "epoch:  118\n",
      "Learning rate:  0.01\n",
      "epoch:  118\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.3406e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0016 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 120/600\n",
      "epoch:  119\n",
      "Learning rate:  0.01\n",
      "epoch:  119\n",
      "Learning rate:  0.01\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.3587e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0017 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 121/600\n",
      "epoch:  120\n",
      "Learning rate:  0.01\n",
      "epoch:  120\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 8.5221e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0017 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 122/600\n",
      "epoch:  121\n",
      "Learning rate:  0.01\n",
      "epoch:  121\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.1276e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0016 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 123/600\n",
      "epoch:  122\n",
      "Learning rate:  0.01\n",
      "epoch:  122\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 2.1955e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0014 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 124/600\n",
      "epoch:  123\n",
      "Learning rate:  0.01\n",
      "epoch:  123\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.5311e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0016 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 125/600\n",
      "epoch:  124\n",
      "Learning rate:  0.01\n",
      "epoch:  124\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0020 - acc: 0.9993 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9985 - prec_2: 0.9972 - recall_2: 1.0000 - f1_m: 0.9993 - recall_m: 0.9993 - precision_m: 0.9993 - val_loss: 0.0014 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 126/600\n",
      "epoch:  125\n",
      "Learning rate:  0.01\n",
      "epoch:  125\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.2308e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0015 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 127/600\n",
      "epoch:  126\n",
      "Learning rate:  0.01\n",
      "epoch:  126\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.3582e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0014 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 128/600\n",
      "epoch:  127\n",
      "Learning rate:  0.01\n",
      "epoch:  127\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.0731e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0013 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 129/600\n",
      "epoch:  128\n",
      "Learning rate:  0.01\n",
      "epoch:  128\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.2210e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0013 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 130/600\n",
      "epoch:  129\n",
      "Learning rate:  0.01\n",
      "epoch:  129\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.0370e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0013 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 131/600\n",
      "epoch:  130\n",
      "Learning rate:  0.01\n",
      "epoch:  130\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.0175e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0012 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 132/600\n",
      "epoch:  131\n",
      "Learning rate:  0.01\n",
      "epoch:  131\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.0881e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0012 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 133/600\n",
      "epoch:  132\n",
      "Learning rate:  0.01\n",
      "epoch:  132\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.4059e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0012 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 134/600\n",
      "epoch:  133\n",
      "Learning rate:  0.01\n",
      "epoch:  133\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.7462e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0012 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 135/600\n",
      "epoch:  134\n",
      "Learning rate:  0.01\n",
      "epoch:  134\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.6980e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0013 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 136/600\n",
      "epoch:  135\n",
      "Learning rate:  0.01\n",
      "epoch:  135\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.6983e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0012 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 137/600\n",
      "epoch:  136\n",
      "Learning rate:  0.01\n",
      "epoch:  136\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.2700e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0012 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 138/600\n",
      "epoch:  137\n",
      "Learning rate:  0.01\n",
      "epoch:  137\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.4771e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0012 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 139/600\n",
      "epoch:  138\n",
      "Learning rate:  0.01\n",
      "epoch:  138\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.1679e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0013 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 140/600\n",
      "epoch:  139\n",
      "Learning rate:  0.01\n",
      "epoch:  139\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.9767e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0013 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 141/600\n",
      "epoch:  140\n",
      "Learning rate:  0.01\n",
      "epoch:  140\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.2036e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0013 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 142/600\n",
      "epoch:  141\n",
      "Learning rate:  0.01\n",
      "epoch:  141\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.1046e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0014 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 143/600\n",
      "epoch:  142\n",
      "Learning rate:  0.01\n",
      "epoch:  142\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.6194e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0015 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 144/600\n",
      "epoch:  143\n",
      "Learning rate:  0.01\n",
      "epoch:  143\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.6067e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0015 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 145/600\n",
      "epoch:  144\n",
      "Learning rate:  0.01\n",
      "epoch:  144\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.4494e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0016 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 146/600\n",
      "epoch:  145\n",
      "Learning rate:  0.01\n",
      "epoch:  145\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.2205e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0015 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 147/600\n",
      "epoch:  146\n",
      "Learning rate:  0.01\n",
      "epoch:  146\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.0021e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0017 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 148/600\n",
      "epoch:  147\n",
      "Learning rate:  0.01\n",
      "epoch:  147\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.0809e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0017 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 149/600\n",
      "epoch:  148\n",
      "Learning rate:  0.01\n",
      "epoch:  148\n",
      "Learning rate:  0.01\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1440/1440 [==============================] - 3s 2ms/step - loss: 6.9474e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0017 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 150/600\n",
      "epoch:  149\n",
      "Learning rate:  0.01\n",
      "epoch:  149\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.8142e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0018 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 151/600\n",
      "epoch:  150\n",
      "Learning rate:  0.01\n",
      "epoch:  150\n",
      "Learning rate:  0.01\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.7933e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0018 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 152/600\n",
      "epoch:  151\n",
      "Learning rate:  0.001\n",
      "epoch:  151\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.9779e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0018 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 153/600\n",
      "epoch:  152\n",
      "Learning rate:  0.001\n",
      "epoch:  152\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.5241e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0019 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 154/600\n",
      "epoch:  153\n",
      "Learning rate:  0.001\n",
      "epoch:  153\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.1871e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0019 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 155/600\n",
      "epoch:  154\n",
      "Learning rate:  0.001\n",
      "epoch:  154\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.4985e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0018 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 156/600\n",
      "epoch:  155\n",
      "Learning rate:  0.001\n",
      "epoch:  155\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 3.0012e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0017 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 157/600\n",
      "epoch:  156\n",
      "Learning rate:  0.001\n",
      "epoch:  156\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 1.6403e-04 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0017 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 158/600\n",
      "epoch:  157\n",
      "Learning rate:  0.001\n",
      "epoch:  157\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 9.5488e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0018 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 159/600\n",
      "epoch:  158\n",
      "Learning rate:  0.001\n",
      "epoch:  158\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 5.6705e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0017 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 160/600\n",
      "epoch:  159\n",
      "Learning rate:  0.001\n",
      "epoch:  159\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 4.4264e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0017 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 161/600\n",
      "epoch:  160\n",
      "Learning rate:  0.001\n",
      "epoch:  160\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 7.2028e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000 - val_loss: 0.0017 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 162/600\n",
      "epoch:  161\n",
      "Learning rate:  0.001\n",
      "epoch:  161\n",
      "Learning rate:  0.001\n",
      "1440/1440 [==============================] - 3s 2ms/step - loss: 0.0232 - acc: 0.9972 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 0.9911 - prec_2: 0.9919 - recall_2: 1.0000 - f1_m: 0.9972 - recall_m: 0.9972 - precision_m: 0.9972 - val_loss: 0.0018 - val_acc: 0.9986 - val_prec: 0.3556 - val_recall: 0.3556 - val_prec_1: 0.4444 - val_recall_1: 0.4444 - val_prec_2: 0.3778 - val_recall_2: 0.3764 - val_f1_m: 0.9986 - val_recall_m: 0.9986 - val_precision_m: 0.9986\n",
      "Epoch 163/600\n",
      "epoch:  162\n",
      "Learning rate:  0.001\n",
      "epoch:  162\n",
      "Learning rate:  0.001\n",
      "1024/1440 [====================>.........] - ETA: 0s - loss: 5.7512e-05 - acc: 1.0000 - prec: 1.0000 - recall: 1.0000 - prec_1: 1.0000 - recall_1: 1.0000 - prec_2: 1.0000 - recall_2: 1.0000 - f1_m: 1.0000 - recall_m: 1.0000 - precision_m: 1.0000"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-6-f0b72f44e096>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m    102\u001b[0m \u001b[0;31m#                         workers=4,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    103\u001b[0m                         \u001b[0mvalidation_data\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxval\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 104\u001b[0;31m                         callbacks=callbacks))\n\u001b[0m\u001b[1;32m    105\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    106\u001b[0m     \u001b[0mmy_models\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda2/envs/pyqt/lib/python3.6/site-packages/keras/engine/training.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, **kwargs)\u001b[0m\n\u001b[1;32m   1037\u001b[0m                                         \u001b[0minitial_epoch\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minitial_epoch\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1038\u001b[0m                                         \u001b[0msteps_per_epoch\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msteps_per_epoch\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1039\u001b[0;31m                                         validation_steps=validation_steps)\n\u001b[0m\u001b[1;32m   1040\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1041\u001b[0m     def evaluate(self, x=None, y=None,\n",
      "\u001b[0;32m~/anaconda2/envs/pyqt/lib/python3.6/site-packages/keras/engine/training_arrays.py\u001b[0m in \u001b[0;36mfit_loop\u001b[0;34m(model, f, ins, out_labels, batch_size, epochs, verbose, callbacks, val_f, val_ins, shuffle, callback_metrics, initial_epoch, steps_per_epoch, validation_steps)\u001b[0m\n\u001b[1;32m    197\u001b[0m                     \u001b[0mins_batch\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mins_batch\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtoarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    198\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 199\u001b[0;31m                 \u001b[0mouts\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mins_batch\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    200\u001b[0m                 \u001b[0mouts\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mto_list\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mouts\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    201\u001b[0m                 \u001b[0;32mfor\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mo\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout_labels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mouts\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda2/envs/pyqt/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, inputs)\u001b[0m\n\u001b[1;32m   2713\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_legacy_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2714\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2715\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2716\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2717\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mpy_any\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mis_tensor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda2/envs/pyqt/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py\u001b[0m in \u001b[0;36m_call\u001b[0;34m(self, inputs)\u001b[0m\n\u001b[1;32m   2673\u001b[0m             \u001b[0mfetched\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_callable_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0marray_vals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_metadata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2674\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2675\u001b[0;31m             \u001b[0mfetched\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_callable_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0marray_vals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2676\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mfetched\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2677\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda2/envs/pyqt/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1380\u001b[0m           ret = tf_session.TF_SessionRunCallable(\n\u001b[1;32m   1381\u001b[0m               \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_session\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_session\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_handle\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstatus\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1382\u001b[0;31m               run_metadata_ptr)\n\u001b[0m\u001b[1;32m   1383\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1384\u001b[0m           \u001b[0mproto_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtf_session\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrun_metadata_ptr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "if not os.path.isdir(save_path):\n",
    "    os.makedirs(save_path)\n",
    "\n",
    "batch_size = 64\n",
    "split_val = 0.3\n",
    "fit_shuffle = True\n",
    "optimizer = 'sgd'\n",
    "start_lr = 1e-2\n",
    "\n",
    "split_shuffle = False\n",
    "history = []\n",
    "my_models = []\n",
    "\n",
    "def lr_schedule(epoch):\n",
    "        lr = start_lr\n",
    "        if epoch > 225:\n",
    "            lr *= 1e-2\n",
    "        elif epoch > 150:\n",
    "            lr *= 1e-1\n",
    "        print('epoch: ', epoch)\n",
    "        print('Learning rate: ', lr)\n",
    "        return lr\n",
    "        \n",
    "\n",
    "    \n",
    "\n",
    "    \n",
    "# 3. 모델 학습과정 설정하기\n",
    "sgd = SGD(lr=lr_schedule(0), decay=1e-4, momentum=0.9, nesterov=True)\n",
    "\n",
    "\n",
    "# adam = Adam(lr=lr_schedule(0))\n",
    "# nAdam = Nadam(lr=lr_schedule(0))\n",
    "\n",
    "\n",
    "# model.compile(optimizer=sgd, loss='categorical_crossentropy', metrics=['accuracy'])\n",
    "\n",
    "\n",
    "\n",
    "# modelv3.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy',\n",
    "#                                                                          f1_m, recall_m, precision_m])\n",
    "\n",
    "\n",
    "\n",
    "from sklearn.model_selection import StratifiedKFold\n",
    "# from sklearn.model_selection import StratifiedShuffleSplit\n",
    "# Instantiate the cross validator\n",
    "\n",
    "skf = StratifiedKFold(n_splits=3, shuffle=True)\n",
    "# Loop through the indices the split() method returns\n",
    "\n",
    "for index, (train_indices, val_indices) in enumerate(skf.split(x_data, y_data)):\n",
    "\n",
    "#     print(x[train_indices], x[val_indices])\n",
    "#     print(y[train_indices], y[val_indices])\n",
    "    xtrain, xval = x[train_indices], x[val_indices]\n",
    "    ytrain, yval = y[train_indices], y[val_indices]\n",
    "    \n",
    "    model = None\n",
    "#     model = createModel(depth=101, input_shape=(x.shape[1],1), extension_rate=8, classes=data_classes )\n",
    "    model = createModelNew(input_shape=(x.shape[1], data_chennal), extension_rate=24, classes=data_classes )\n",
    "    \n",
    "\n",
    "    \n",
    "    r_reducer = ReduceLROnPlateau(monitor='val_loss',\n",
    "                                  verbose=1,\n",
    "                                  factor=np.sqrt(0.1),\n",
    "                               cooldown=0,\n",
    "                               patience=5,\n",
    "                               min_lr=0.5e-6)\n",
    "    \n",
    "#     csv_logger_path = save_path+f'/{index}.{model.name}_nonsvm,ex=24,cropping(k=6),[6,6,6,6],ReduceLROnPlateau_log.csv'\n",
    "    csv_logger_path = save_path+f'/m1_test2/{index}.{model.name}_test_log.csv'\n",
    "\n",
    "    if not os.path.isdir(os.path.dirname(csv_logger_path)):\n",
    "        os.makedirs(os.path.dirname(csv_logger_path))\n",
    "    csv_logger = CSVLogger(csv_logger_path, append=True)\n",
    "\n",
    "    lr_scheduler = LearningRateScheduler(schedule=lr_schedule)\n",
    "\n",
    "    callbacks = [lr_scheduler, lr_scheduler, csv_logger]\n",
    "\n",
    "\n",
    "    model.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy',\n",
    "                                                              \n",
    "                                                                single_class_precision(0), single_class_recall(0),\n",
    "                                                                single_class_precision(1), single_class_recall(1),\n",
    "                                                                single_class_precision(2), single_class_recall(2),\n",
    "#                                                                 single_class_precision(3), single_class_recall(3),\n",
    "#                                                                 single_class_precision(4), single_class_recall(4),\n",
    "#                                                                 single_class_precision(5), single_class_recall(5),\n",
    "#                                                                 single_class_precision(6), single_class_recall(6),\n",
    "#                                                                 single_class_precision(7), single_class_recall(7),\n",
    "#                                                                 single_class_precision(8), single_class_recall(8)\n",
    "                                                                            f1_m, recall_m, precision_m\n",
    "                                                                          ]) \n",
    "    \n",
    "    \n",
    "    history.append(model.fit(xtrain, ytrain, \n",
    "                        epochs=600, batch_size=batch_size, \n",
    "                        shuffle=fit_shuffle,\n",
    "#                         workers=4, \n",
    "                        validation_data=(xval, yval),\n",
    "                        callbacks=callbacks))\n",
    "\n",
    "    my_models.append(model)\n",
    "ㄴ\n",
    "# # 4. 모델 학습시키기\n",
    "# history = modelv3.fit(x_train, y_train, \n",
    "#                     epochs=300, batch_size=batch_size, \n",
    "#                     shuffle=fit_shuffle,\n",
    "# #                     workers=1, \n",
    "#                       validation_data=(x_test, y_test),\n",
    "#                     callbacks=callbacks)\n",
    "\n",
    "# histories[model] = models[model].fit(x_train, y_train, epochs=300, batch_size=32, workers=4, validation_data=(x_train, y_train))\n",
    "\n",
    "# 6. 모델 평가하기\n",
    "# evaluate = modelv3.evaluate(x_test, y_test, batch_size=batch_size, verbose=1)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "evaluate = modelv3.evaluate(x_test, y_test, batch_size=batch_size, verbose=1)\n",
    "print(\"loss     acc      f1      recall      precision\")\n",
    "print(evaluate)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for hist in history:\n",
    "    for key, value in hist.history.items():\n",
    "        if key == \"val_acc\":\n",
    "            value = max(value)\n",
    "            print(key, value)\n",
    "            print(\"\\n\")\n",
    "        elif key == \"val_f1_m\":\n",
    "            value = max(value)\n",
    "            print(key, value)\n",
    "            print(\"\\n\")\n",
    "        elif key == \"val_recall_m\":\n",
    "            value = max(value)\n",
    "            print(key, value)\n",
    "            print(\"\\n\")\n",
    "        elif key == \"val_precision_m\":\n",
    "            value = max(value)\n",
    "            print(key, value)\n",
    "            print(\"\\n\")\n",
    "        elif key == \"val_prec\":\n",
    "            value = max(value)\n",
    "            print(key, value)\n",
    "            print(\"\\n\")\n",
    "        elif key == \"val_recall\":\n",
    "            value = max(value)\n",
    "            print(key, value)\n",
    "            print(\"\\n\")\n",
    "        elif key == \"val_prec_1\":\n",
    "            value = max(value)\n",
    "            print(key, value)\n",
    "            print(\"\\n\")\n",
    "        elif key == \"val_recall_1\":\n",
    "            value = max(value)\n",
    "            print(key, value)\n",
    "            print(\"\\n\")\n",
    "        elif key == \"val_prec_2\":\n",
    "            value = max(value)\n",
    "            print(key, value)\n",
    "            print(\"\\n\")\n",
    "        elif key == \"val_recall_2\":\n",
    "            value = max(value)\n",
    "            print(key, value)"
   ]
  }
 ],
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