mm_inception_load_individual_probes.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "#sys.path = [p for p in sys.path if p.find('/opt/apps/software/') == -1]\n",
    "from glob import glob\n",
    "from IPython.display import display, HTML\n",
    "\n",
    "from utils.constants import UNIVARIATE_ARCHIVE_NAMES as ARCHIVE_NAMES\n",
    "from utils.constants import UNIVARIATE_DATASET_NAMES as DATASET_NAMES\n",
    "\n",
    "from utils.utils import read_all_datasets, transform_labels, create_directory, run_length_xps, generate_results_csv, plot_epochs_metric\n",
    "\n",
    "from utils.data_loading import get_multiple_data,load_matlab, predict, shifted_zscore, zscore, print_metric, tf_rmse, tf_pmse, rmse\n",
    "\n",
    "import utils\n",
    "\n",
    "from classifiers import inception\n",
    "\n",
    "import os\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"0,1\"\n",
    "from itertools import compress\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import sklearn\n",
    "\n",
    "def tf_pmse_DA(y_true, y_pred):\n",
    "    return tf_pmse(y_true, y_pred, idx=0)\n",
    "\n",
    "def tf_pmse_5HT(y_true, y_pred):\n",
    "    return tf_pmse(y_true, y_pred, idx=1)\n",
    "\n",
    "def tf_pmse_pH(y_true, y_pred):\n",
    "    return tf_pmse(y_true, y_pred, idx=2)\n",
    "\n",
    "def tf_pmse_NE(y_true, y_pred):\n",
    "    return tf_pmse(y_true, y_pred, idx=3)\n",
    "\n",
    "# import keras\n",
    "# keras.backend.tensorflow_backend._get_available_gpus()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hold probe : MMA018W01R04\n",
      "Leaving out probe MMA018W01R04\n",
      "Validation probe MMA023W01R04\n",
      "Loading data\n",
      "No 500ohms\n",
      "number of voltammograms files 36\n",
      "after filter 36\n",
      "number of holdout files 4\n",
      "(39600, 999)\n",
      "(39600, 4)\n",
      "number of validation files 4\n",
      "(39600, 999)\n",
      "(39600, 4)\n",
      "number of train files 28\n",
      "number of MMA003W01R04 files 4\n",
      "(39600, 999)\n",
      "(39600, 4)\n",
      "number of MMA004W01R04 files 4\n",
      "(39600, 999)\n",
      "(39600, 4)\n",
      "number of MMA013W01R04 files 4\n",
      "(39600, 999)\n",
      "(39600, 4)\n",
      "number of MMA019W01R04 files 4\n",
      "(39600, 999)\n",
      "(39600, 4)\n",
      "number of MMA022W01R04 files 4\n",
      "(39600, 999)\n",
      "(39600, 4)\n",
      "number of MMA024W01R04 files 4\n",
      "(39600, 999)\n",
      "(39600, 4)\n",
      "number of MMA025W01R04 files 4\n",
      "(39600, 999)\n",
      "(39600, 4)\n",
      "any files left? 0\n",
      "Data loaded\n"
     ]
    }
   ],
   "source": [
    "data_prefix = '/mnt/nfs/proj/in-vitro/iterate/results_014/model_style_008/training-A-RBE-97Hz/'\n",
    "voltammograms = glob(data_prefix + '/*MMA*/voltammograms.mat')\n",
    "probes = ['MMA003W01R04', 'MMA004W01R04', 'MMA013W01R04', 'MMA018W01R04', 'MMA019W01R04', 'MMA022W01R04', 'MMA023W01R04', 'MMA024W01R04', 'MMA025W01R04']\n",
    "good_probes = probes\n",
    "\n",
    "hold_probe = probes.pop(3)\n",
    "print('hold probe :', hold_probe)\n",
    "\n",
    "# val_probe=None\n",
    "val_probe = probes.pop(5)\n",
    "\n",
    "print(f'Leaving out probe {hold_probe}', flush=True)\n",
    "print(f'Validation probe {val_probe}', flush=True)\n",
    "print(f'Loading data', flush=True)\n",
    "\n",
    "filter_files = lambda x : x.find('500kohm') == -1\n",
    "print('No 500ohms')\n",
    "\n",
    "# filter_files = lambda x : x.find('500kohm') > -1\n",
    "# print('ONLY 500ohms')\n",
    "\n",
    "# normalize_data = minmax\n",
    "# revert_data = lambda x: minmax(x, inverse=True)\n",
    "\n",
    "# normalize_data = shifted_zscore\n",
    "# revert_data = lambda x: shifted_zscore(x, inverse=True)\n",
    "\n",
    "normalize_data = shifted_zscore\n",
    "revert_data = lambda x: shifted_zscore(x, inverse=True)\n",
    "\n",
    "# normalize_data = lambda x: x\n",
    "# revert_data = lambda x: x\n",
    "\n",
    "# nrecords_per_session = 10\n",
    "nrecords_per_session = 300\n",
    "# nrecords_per_session = 1\n",
    "\n",
    "voltammograms = glob(data_prefix + '/*MMA*/voltammograms.mat')\n",
    "print('number of voltammograms files %d'%len(voltammograms))\n",
    "voltammograms = list(compress(voltammograms, [filter_files(x) for x in voltammograms]))\n",
    "print('after filter %d'%len(voltammograms))\n",
    "\n",
    "holdout_files = list(compress(voltammograms, [x.find(hold_probe) > -1 for x in voltammograms]))\n",
    "print('number of holdout files %d'%len(holdout_files))\n",
    "x_test, y_test = load_matlab(holdout_files, nrecords_per_session, asnumpy=True, proj_y=normalize_data)\n",
    "x_test = x_test.reshape((x_test.shape[0], x_test.shape[1], 1))\n",
    "voltammograms = list(compress(voltammograms, [x.find(hold_probe) == -1 for x in voltammograms]))\n",
    "\n",
    "val_files = list(compress(voltammograms, [x.find(val_probe) > -1 for x in voltammograms]))\n",
    "print('number of validation files %d'%len(val_files))\n",
    "x_val, y_val = load_matlab(val_files, nrecords_per_session, asnumpy=True, proj_y=normalize_data)\n",
    "x_val = x_val.reshape((x_val.shape[0], x_val.shape[1], 1))\n",
    "\n",
    "voltammograms = list(compress(voltammograms, [x.find(val_probe) == -1 for x in voltammograms]))\n",
    "print('number of train files %d'%len(voltammograms))\n",
    "\n",
    "x_train = {probe: [] for probe in probes}\n",
    "y_train = {probe: [] for probe in probes}\n",
    "for probe in probes:\n",
    "    probe_files = list(compress(voltammograms, [x.find(probe) > -1 for x in voltammograms]))\n",
    "    print('number of %s files %d'%(probe,len(probe_files)))\n",
    "    x_train[probe], y_train[probe] = load_matlab(probe_files, nrecords_per_session, asnumpy=True, proj_y=normalize_data)\n",
    "    x_train[probe] = x_train[probe].reshape((x_train[probe].shape[0], x_train[probe].shape[1], 1))\n",
    "    voltammograms = list(compress(voltammograms, [x.find(probe) == -1 for x in voltammograms]))\n",
    "    \n",
    "print('any files left? %d'%len(voltammograms))\n",
    "\n",
    "print('Data loaded')\n",
    "\n",
    "output_shape = y_train[probes[0]].shape[1]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "output_directory = f'/mnt/nfs/proj/in-vitro/Leonardo/inception/results/mm/{val_probe}/'\n",
    "\n",
    "if not (os.path.exists(output_directory)):\n",
    "    os.makedirs(output_directory, exist_ok=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "# resnet model\n",
    "import keras\n",
    "import numpy as np\n",
    "import time\n",
    "\n",
    "from utils.utils import save_logs\n",
    "from utils.utils import calculate_metrics\n",
    "from utils.utils import save_test_duration\n",
    "\n",
    "import tensorflow.compat.v1 as tf\n",
    "tf.disable_v2_behavior()\n",
    "\n",
    "def tf_rmse(y_true, y_pred):\n",
    "    return tf.sqrt(tf.reduce_mean((y_true - y_pred)**2))\n",
    "\n",
    "class Regression_INCEPTION:\n",
    "\n",
    "    def __init__(self, output_directory, input_shape, output_shape, verbose=False, build=True, batch_size=64,\n",
    "                 nb_filters=32, use_residual=True, use_bottleneck=True, depth=6, kernel_size=41, nb_epochs=100,\n",
    "                pre_model=None):\n",
    "\n",
    "        self.output_directory = output_directory\n",
    "\n",
    "        self.nb_filters = nb_filters\n",
    "        self.use_residual = use_residual\n",
    "        self.use_bottleneck = use_bottleneck\n",
    "        self.depth = depth\n",
    "        self.kernel_size = kernel_size - 1\n",
    "        self.callbacks = None\n",
    "        self.batch_size = batch_size\n",
    "        self.bottleneck_size = 32\n",
    "        self.nb_epochs = nb_epochs\n",
    "\n",
    "        if build == True:\n",
    "            self.model = self.build_model(input_shape, output_shape, pre_model=pre_model)\n",
    "#             if (verbose == True):\n",
    "#                 self.model.summary()\n",
    "            self.verbose = verbose\n",
    "            self.model.save_weights(self.output_directory + 'model_init.hdf5')\n",
    "\n",
    "            \n",
    "    def _calculate_metrics(self, y_true, y_pred, duration):\n",
    "        res = pd.DataFrame(data=np.zeros((1, 5), dtype=np.float), index=[0],\n",
    "                           columns=['rmse_DA', 'rmse_5HT', 'rmse_pH', 'rmse_NE', 'duration'])\n",
    "        y_pred = np.apply_along_axis(revert_data, axis=1, arr=y_pred) \n",
    "        y_true = np.apply_along_axis(revert_data, axis=1, arr=y_true) \n",
    "#         rmse(y_true, y_pred, multioutput='uniform_average')\n",
    "        rmse4 = rmse(y_true, y_pred)\n",
    "        res['rmse_DA'] = rmse4[0]\n",
    "        res['rmse_5HT'] = rmse4[1]\n",
    "        res['rmse_pH'] = rmse4[2]\n",
    "        res['rmse_NE'] = rmse4[3]\n",
    "        res['duration'] = duration\n",
    "        return res\n",
    "\n",
    "    def _save_logs(self, hist, y_pred, y_true, duration,\n",
    "                  lr=True, plot_test_acc=True):\n",
    "        hist_df = pd.DataFrame(hist.history)\n",
    "        hist_df.to_csv(self.output_directory + 'history.csv', index=False)\n",
    "\n",
    "        df_metrics = self._calculate_metrics(y_true, y_pred, duration)\n",
    "        df_metrics.to_csv(self.output_directory + 'df_metrics.csv', index=False)\n",
    "\n",
    "        index_best_model = hist_df['loss'].idxmin()\n",
    "        row_best_model = hist_df.loc[index_best_model]\n",
    "\n",
    "        df_best_model = pd.DataFrame(data=np.zeros((1, 4), dtype=np.float), index=[0],\n",
    "                                     columns=['best_model_train_loss', 'best_model_val_loss', 'best_model_learning_rate', 'best_model_nb_epoch'])\n",
    "\n",
    "        df_best_model['best_model_train_loss'] = row_best_model['loss']\n",
    "        if plot_test_acc:\n",
    "            df_best_model['best_model_val_loss'] = row_best_model['val_loss']\n",
    "#         df_best_model['best_model_train_acc'] = row_best_model['acc']\n",
    "#         if plot_test_acc:\n",
    "#             df_best_model['best_model_val_acc'] = row_best_model['val_acc']\n",
    "        if lr == True:\n",
    "            df_best_model['best_model_learning_rate'] = row_best_model['lr']\n",
    "        df_best_model['best_model_nb_epoch'] = index_best_model\n",
    "\n",
    "        df_best_model.to_csv(self.output_directory + 'df_best_model.csv', index=False)\n",
    "\n",
    "        if plot_test_acc:\n",
    "            # plot losses\n",
    "            plot_epochs_metric(hist, self.output_directory + 'epochs_loss.png')\n",
    "            plot_epochs_metric(hist, self.output_directory + 'epochs_DA.png', metric='tf_pmse_DA')\n",
    "            plot_epochs_metric(hist, self.output_directory + 'epochs_5HT.png', metric='tf_pmse_5HT')\n",
    "            plot_epochs_metric(hist, self.output_directory + 'epochs_pH.png', metric='tf_pmse_pH')\n",
    "            plot_epochs_metric(hist, self.output_directory + 'epochs_NE.png', metric='tf_pmse_NE')\n",
    "\n",
    "        return df_metrics\n",
    "\n",
    "    def _inception_module(self, input_tensor, stride=1, activation='linear'):\n",
    "\n",
    "        if self.use_bottleneck and int(input_tensor.shape[-1]) > 1:\n",
    "            input_inception = keras.layers.Conv1D(filters=self.bottleneck_size, kernel_size=1,\n",
    "                                                  padding='same', activation=activation, use_bias=False)(input_tensor)\n",
    "        else:\n",
    "            input_inception = input_tensor\n",
    "\n",
    "        # kernel_size_s = [3, 5, 8, 11, 17]\n",
    "        kernel_size_s = [self.kernel_size // (2 ** i) for i in range(3)]\n",
    "\n",
    "        conv_list = []\n",
    "\n",
    "        for i in range(len(kernel_size_s)):\n",
    "            conv_list.append(keras.layers.Conv1D(filters=self.nb_filters, kernel_size=kernel_size_s[i],\n",
    "                                                 strides=stride, padding='same', activation=activation, use_bias=False)(\n",
    "                input_inception))\n",
    "\n",
    "        max_pool_1 = keras.layers.MaxPool1D(pool_size=3, strides=stride, padding='same')(input_tensor)\n",
    "\n",
    "        conv_6 = keras.layers.Conv1D(filters=self.nb_filters, kernel_size=1,\n",
    "                                     padding='same', activation=activation, use_bias=False)(max_pool_1)\n",
    "\n",
    "        conv_list.append(conv_6)\n",
    "\n",
    "        x = keras.layers.Concatenate(axis=2)(conv_list)\n",
    "        x = keras.layers.BatchNormalization()(x)\n",
    "        x = keras.layers.Activation(activation='relu')(x)\n",
    "        return x\n",
    "\n",
    "    def _shortcut_layer(self, input_tensor, out_tensor):\n",
    "        shortcut_y = keras.layers.Conv1D(filters=int(out_tensor.shape[-1]), kernel_size=1,\n",
    "                                         padding='same', use_bias=False)(input_tensor)\n",
    "        shortcut_y = keras.layers.normalization.BatchNormalization()(shortcut_y)\n",
    "\n",
    "        x = keras.layers.Add()([shortcut_y, out_tensor])\n",
    "        x = keras.layers.Activation('relu')(x)\n",
    "        return x\n",
    "\n",
    "    def build_model(self, input_shape, output_shape, pre_model=None):\n",
    "        input_layer = keras.layers.Input(input_shape)\n",
    "\n",
    "        x = input_layer\n",
    "        input_res = input_layer\n",
    "\n",
    "        for d in range(self.depth):\n",
    "\n",
    "            x = self._inception_module(x)\n",
    "\n",
    "            if self.use_residual and d % 3 == 2:\n",
    "                x = self._shortcut_layer(input_res, x)\n",
    "                input_res = x\n",
    "\n",
    "        gap_layer = keras.layers.GlobalAveragePooling1D()(x)\n",
    "\n",
    "        output_layer = keras.layers.Dense(output_shape, activation='softplus')(gap_layer)\n",
    "\n",
    "        model = keras.models.Model(inputs=input_layer, outputs=output_layer)\n",
    "        \n",
    "        if not pre_model is None:\n",
    "            print('loading previous weights...')\n",
    "            for i in range(len(model.layers)-1):\n",
    "                model.layers[i].set_weights(pre_model.layers[i].get_weights())\n",
    "        else:\n",
    "            print('starting model from scratch...')\n",
    "\n",
    "#         model.compile(loss='mse', optimizer=keras.optimizers.Adam(), metrics=[])\n",
    "        model.compile(loss='mse', optimizer=keras.optimizers.Adam(), metrics=[tf_pmse_DA, tf_pmse_5HT, tf_pmse_pH, tf_pmse_NE])\n",
    "#         model.compile(loss='mse', optimizer=keras.optimizers.Adam(lr=0.001, beta_1=0.9), metrics=[tf_pmse_DA, tf_pmse_5HT, tf_pmse_pH, tf_pmse_NE])\n",
    "\n",
    "        reduce_lr = keras.callbacks.ReduceLROnPlateau(monitor='loss', factor=0.5, patience=50, min_lr=0.0001)\n",
    "\n",
    "        file_path = self.output_directory + 'best_model.hdf5'\n",
    "\n",
    "        model_checkpoint = keras.callbacks.ModelCheckpoint(filepath=file_path, monitor='loss', save_best_only=True)\n",
    "\n",
    "        self.callbacks = [reduce_lr, model_checkpoint]\n",
    "\n",
    "        return model\n",
    "\n",
    "    def fit(self, x_train, y_train, x_val, y_val, plot_test_acc=False):\n",
    "        if len(keras.backend.tensorflow_backend._get_available_gpus()) == 0:\n",
    "            print('error no gpu')\n",
    "            exit()\n",
    "        # x_val and y_val are only used to monitor the test loss and NOT for training\n",
    "\n",
    "        if self.batch_size is None:\n",
    "            mini_batch_size = int(min(x_train.shape[0] / 20, 16))\n",
    "        else:\n",
    "            mini_batch_size = self.batch_size\n",
    "        print(f'mini batch size: {mini_batch_size}')\n",
    "\n",
    "        start_time = time.time()\n",
    "\n",
    "        if plot_test_acc:\n",
    "            hist = self.model.fit(x_train, y_train, batch_size=mini_batch_size, epochs=self.nb_epochs,\n",
    "                                  verbose=self.verbose, validation_data=(x_val, y_val), callbacks=self.callbacks)\n",
    "        else:\n",
    "\n",
    "            hist = self.model.fit(x_train, y_train, batch_size=mini_batch_size, epochs=self.nb_epochs,\n",
    "                                  verbose=self.verbose, callbacks=self.callbacks)\n",
    "\n",
    "        duration = time.time() - start_time\n",
    "\n",
    "        self.model.save(self.output_directory + 'last_model.hdf5')\n",
    "\n",
    "        print('predicting test set...', end = '')\n",
    "        y_pred = self.predict(x_val, y_val, x_train, y_train, return_df_metrics=False)\n",
    "        print(' done.')\n",
    "\n",
    "        # save predictions\n",
    "        np.save(self.output_directory + 'y_pred.npy', y_pred)\n",
    "\n",
    "        df_metrics = self._save_logs(hist, y_pred, y_val, duration, plot_test_acc=plot_test_acc)\n",
    "\n",
    "        keras.backend.clear_session()\n",
    "\n",
    "        return df_metrics\n",
    "\n",
    "    def predict(self, x_test, y_test, x_train, y_train, return_df_metrics=True):\n",
    "        start_time = time.time()\n",
    "        model = self.get_best_model()\n",
    "        y_pred = model.predict(x_test, batch_size=self.batch_size)\n",
    "        if return_df_metrics:\n",
    "            df_metrics = self._calculate_metrics(y_true, y_pred, 0.0)\n",
    "            return df_metrics\n",
    "        else:\n",
    "            test_duration = time.time() - start_time\n",
    "            save_test_duration(self.output_directory + 'test_duration.csv', test_duration)\n",
    "            return y_pred\n",
    "\n",
    "    def get_best_model(self):\n",
    "        model_path = self.output_directory + 'best_model.hdf5'\n",
    "        return keras.models.load_model(model_path, \n",
    "                                        custom_objects={\"tf_pmse_DA\": tf_pmse_DA, \"tf_pmse_5HT\": tf_pmse_5HT, \"tf_pmse_pH\": tf_pmse_pH, \"tf_pmse_NE\": tf_pmse_NE})        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "probe MMA003W01R04 (0 out of 7)\n",
      "starting model from scratch...\n",
      "mini batch size: 128\n",
      "Train on 39600 samples, validate on 39600 samples\n",
      "Epoch 1/100\n",
      "39600/39600 [==============================] - 51s 1ms/step - loss: 7.0142 - tf_pmse_DA: 1827.3674 - tf_pmse_5HT: 1812.7809 - tf_pmse_pH: 0.5480 - tf_pmse_NE: 2027.3330 - val_loss: 5.0274 - val_tf_pmse_DA: 2147.0379 - val_tf_pmse_5HT: 2083.6658 - val_tf_pmse_pH: 0.4439 - val_tf_pmse_NE: 2649.2678\n",
      "Epoch 2/100\n",
      "39600/39600 [==============================] - 39s 986us/step - loss: 0.5885 - tf_pmse_DA: 832.5015 - tf_pmse_5HT: 782.9627 - tf_pmse_pH: 0.2407 - tf_pmse_NE: 762.3323 - val_loss: 25.8897 - val_tf_pmse_DA: 1174.9227 - val_tf_pmse_5HT: 1940.1833 - val_tf_pmse_pH: 3.1232 - val_tf_pmse_NE: 882.8029\n",
      "Epoch 3/100\n",
      "39600/39600 [==============================] - 39s 982us/step - loss: 0.4307 - tf_pmse_DA: 799.9527 - tf_pmse_5HT: 722.9886 - tf_pmse_pH: 0.1258 - tf_pmse_NE: 718.2580 - val_loss: 20.5323 - val_tf_pmse_DA: 2554.4718 - val_tf_pmse_5HT: 3394.1490 - val_tf_pmse_pH: 2.2334 - val_tf_pmse_NE: 3571.7870\n",
      "Epoch 4/100\n",
      "39600/39600 [==============================] - 39s 976us/step - loss: 0.3338 - tf_pmse_DA: 740.3641 - tf_pmse_5HT: 638.6571 - tf_pmse_pH: 0.0956 - tf_pmse_NE: 614.2674 - val_loss: 3.8387 - val_tf_pmse_DA: 1827.4516 - val_tf_pmse_5HT: 1334.7557 - val_tf_pmse_pH: 0.7790 - val_tf_pmse_NE: 1148.9224\n",
      "Epoch 5/100\n",
      "39600/39600 [==============================] - 39s 982us/step - loss: 0.2478 - tf_pmse_DA: 656.0193 - tf_pmse_5HT: 568.7266 - tf_pmse_pH: 0.0867 - tf_pmse_NE: 474.1178 - val_loss: 3.6652 - val_tf_pmse_DA: 984.6939 - val_tf_pmse_5HT: 993.6645 - val_tf_pmse_pH: 0.5770 - val_tf_pmse_NE: 2722.2719\n",
      "Epoch 6/100\n",
      "39600/39600 [==============================] - 39s 984us/step - loss: 0.1589 - tf_pmse_DA: 504.3821 - tf_pmse_5HT: 474.0036 - tf_pmse_pH: 0.0791 - tf_pmse_NE: 362.5898 - val_loss: 8.3997 - val_tf_pmse_DA: 1100.1085 - val_tf_pmse_5HT: 4554.9103 - val_tf_pmse_pH: 0.7869 - val_tf_pmse_NE: 1908.3204\n",
      "Epoch 7/100\n",
      "39600/39600 [==============================] - 39s 985us/step - loss: 0.0882 - tf_pmse_DA: 350.7413 - tf_pmse_5HT: 339.5986 - tf_pmse_pH: 0.0652 - tf_pmse_NE: 291.7444 - val_loss: 3.2077 - val_tf_pmse_DA: 879.1102 - val_tf_pmse_5HT: 2069.9669 - val_tf_pmse_pH: 0.4357 - val_tf_pmse_NE: 1875.4600\n",
      "Epoch 8/100\n",
      "39600/39600 [==============================] - 39s 985us/step - loss: 0.0513 - tf_pmse_DA: 259.6991 - tf_pmse_5HT: 249.4264 - tf_pmse_pH: 0.0534 - tf_pmse_NE: 232.2325 - val_loss: 4.5883 - val_tf_pmse_DA: 1944.3309 - val_tf_pmse_5HT: 1801.8812 - val_tf_pmse_pH: 0.3292 - val_tf_pmse_NE: 2890.1546\n",
      "Epoch 9/100\n",
      "39600/39600 [==============================] - 39s 988us/step - loss: 0.0362 - tf_pmse_DA: 208.3456 - tf_pmse_5HT: 206.5055 - tf_pmse_pH: 0.0483 - tf_pmse_NE: 198.6255 - val_loss: 3.6197 - val_tf_pmse_DA: 941.5954 - val_tf_pmse_5HT: 2175.4072 - val_tf_pmse_pH: 0.3140 - val_tf_pmse_NE: 2460.2592\n",
      "Epoch 10/100\n",
      "39600/39600 [==============================] - 39s 985us/step - loss: 0.0347 - tf_pmse_DA: 211.5603 - tf_pmse_5HT: 197.8033 - tf_pmse_pH: 0.0466 - tf_pmse_NE: 190.8710 - val_loss: 4.5083 - val_tf_pmse_DA: 1333.7572 - val_tf_pmse_5HT: 2353.6940 - val_tf_pmse_pH: 0.6377 - val_tf_pmse_NE: 2121.8875\n",
      "Epoch 11/100\n",
      "39600/39600 [==============================] - 39s 987us/step - loss: 0.0284 - tf_pmse_DA: 182.1646 - tf_pmse_5HT: 178.5133 - tf_pmse_pH: 0.0439 - tf_pmse_NE: 173.4917 - val_loss: 3.0081 - val_tf_pmse_DA: 943.5791 - val_tf_pmse_5HT: 1557.6456 - val_tf_pmse_pH: 0.4141 - val_tf_pmse_NE: 2226.6847\n",
      "Epoch 12/100\n",
      "39600/39600 [==============================] - 39s 987us/step - loss: 0.0311 - tf_pmse_DA: 191.1610 - tf_pmse_5HT: 185.7074 - tf_pmse_pH: 0.0472 - tf_pmse_NE: 179.3185 - val_loss: 2.2320 - val_tf_pmse_DA: 932.4115 - val_tf_pmse_5HT: 1376.9141 - val_tf_pmse_pH: 0.5779 - val_tf_pmse_NE: 876.5964\n",
      "Epoch 13/100\n",
      "39600/39600 [==============================] - 39s 988us/step - loss: 0.0273 - tf_pmse_DA: 178.7006 - tf_pmse_5HT: 173.6186 - tf_pmse_pH: 0.0435 - tf_pmse_NE: 167.3686 - val_loss: 3.8401 - val_tf_pmse_DA: 1169.5308 - val_tf_pmse_5HT: 2138.3777 - val_tf_pmse_pH: 0.4584 - val_tf_pmse_NE: 2206.0244\n",
      "Epoch 14/100\n",
      "39600/39600 [==============================] - 39s 991us/step - loss: 0.0275 - tf_pmse_DA: 176.6707 - tf_pmse_5HT: 170.5623 - tf_pmse_pH: 0.0452 - tf_pmse_NE: 168.8629 - val_loss: 4.2114 - val_tf_pmse_DA: 1561.7556 - val_tf_pmse_5HT: 1192.6737 - val_tf_pmse_pH: 0.9072 - val_tf_pmse_NE: 1504.6918\n",
      "Epoch 15/100\n",
      "39600/39600 [==============================] - 39s 987us/step - loss: 0.0267 - tf_pmse_DA: 175.3182 - tf_pmse_5HT: 170.9415 - tf_pmse_pH: 0.0424 - tf_pmse_NE: 170.6981 - val_loss: 3.2761 - val_tf_pmse_DA: 1058.8604 - val_tf_pmse_5HT: 2363.7012 - val_tf_pmse_pH: 0.3661 - val_tf_pmse_NE: 1794.1105\n",
      "Epoch 16/100\n",
      "39600/39600 [==============================] - 38s 954us/step - loss: 0.0280 - tf_pmse_DA: 179.5217 - tf_pmse_5HT: 178.0770 - tf_pmse_pH: 0.0455 - tf_pmse_NE: 166.4873 - val_loss: 3.7489 - val_tf_pmse_DA: 971.0171 - val_tf_pmse_5HT: 2018.5536 - val_tf_pmse_pH: 0.5065 - val_tf_pmse_NE: 2323.6667\n",
      "Epoch 17/100\n",
      "39600/39600 [==============================] - 37s 946us/step - loss: 0.0272 - tf_pmse_DA: 178.8286 - tf_pmse_5HT: 173.5112 - tf_pmse_pH: 0.0432 - tf_pmse_NE: 164.1663 - val_loss: 2.5397 - val_tf_pmse_DA: 867.8876 - val_tf_pmse_5HT: 1415.7201 - val_tf_pmse_pH: 0.3101 - val_tf_pmse_NE: 2121.3268\n",
      "Epoch 18/100\n",
      "39600/39600 [==============================] - 38s 951us/step - loss: 0.0244 - tf_pmse_DA: 162.9971 - tf_pmse_5HT: 162.4638 - tf_pmse_pH: 0.0427 - tf_pmse_NE: 158.0365 - val_loss: 3.8111 - val_tf_pmse_DA: 1212.4159 - val_tf_pmse_5HT: 1699.5105 - val_tf_pmse_pH: 0.5228 - val_tf_pmse_NE: 2492.5404\n",
      "Epoch 19/100\n",
      "39600/39600 [==============================] - 39s 983us/step - loss: 0.0241 - tf_pmse_DA: 161.1021 - tf_pmse_5HT: 160.6441 - tf_pmse_pH: 0.0427 - tf_pmse_NE: 158.2705 - val_loss: 3.6324 - val_tf_pmse_DA: 887.7715 - val_tf_pmse_5HT: 2127.8719 - val_tf_pmse_pH: 0.5564 - val_tf_pmse_NE: 1941.0784\n",
      "Epoch 20/100\n",
      "39600/39600 [==============================] - 39s 986us/step - loss: 0.0241 - tf_pmse_DA: 161.4646 - tf_pmse_5HT: 158.5494 - tf_pmse_pH: 0.0428 - tf_pmse_NE: 158.5630 - val_loss: 2.4171 - val_tf_pmse_DA: 1128.3821 - val_tf_pmse_5HT: 968.1364 - val_tf_pmse_pH: 0.3213 - val_tf_pmse_NE: 2183.2648\n",
      "Epoch 21/100\n",
      "39600/39600 [==============================] - 39s 981us/step - loss: 0.0248 - tf_pmse_DA: 165.0319 - tf_pmse_5HT: 162.0393 - tf_pmse_pH: 0.0437 - tf_pmse_NE: 158.9195 - val_loss: 2.9687 - val_tf_pmse_DA: 912.3835 - val_tf_pmse_5HT: 1745.1279 - val_tf_pmse_pH: 0.3805 - val_tf_pmse_NE: 2159.6600\n",
      "Epoch 22/100\n",
      "39600/39600 [==============================] - 39s 986us/step - loss: 0.0231 - tf_pmse_DA: 161.6984 - tf_pmse_5HT: 154.5600 - tf_pmse_pH: 0.0424 - tf_pmse_NE: 150.6064 - val_loss: 2.7606 - val_tf_pmse_DA: 874.1709 - val_tf_pmse_5HT: 1837.8613 - val_tf_pmse_pH: 0.3535 - val_tf_pmse_NE: 1876.1068\n",
      "Epoch 23/100\n",
      "39600/39600 [==============================] - 39s 986us/step - loss: 0.0205 - tf_pmse_DA: 146.1969 - tf_pmse_5HT: 146.6785 - tf_pmse_pH: 0.0409 - tf_pmse_NE: 143.1879 - val_loss: 3.8223 - val_tf_pmse_DA: 1239.5592 - val_tf_pmse_5HT: 2217.9023 - val_tf_pmse_pH: 0.2541 - val_tf_pmse_NE: 2463.0490\n",
      "Epoch 24/100\n",
      "39600/39600 [==============================] - 39s 984us/step - loss: 0.0235 - tf_pmse_DA: 161.2310 - tf_pmse_5HT: 158.8464 - tf_pmse_pH: 0.0422 - tf_pmse_NE: 150.9955 - val_loss: 3.6889 - val_tf_pmse_DA: 895.4141 - val_tf_pmse_5HT: 2167.3198 - val_tf_pmse_pH: 0.2838 - val_tf_pmse_NE: 2630.5544\n",
      "Epoch 25/100\n",
      "39600/39600 [==============================] - 39s 983us/step - loss: 0.0220 - tf_pmse_DA: 156.4239 - tf_pmse_5HT: 148.4396 - tf_pmse_pH: 0.0410 - tf_pmse_NE: 149.0812 - val_loss: 3.0578 - val_tf_pmse_DA: 899.7802 - val_tf_pmse_5HT: 1465.2775 - val_tf_pmse_pH: 0.5432 - val_tf_pmse_NE: 1958.8797\n",
      "Epoch 26/100\n",
      "39600/39600 [==============================] - 39s 988us/step - loss: 0.0236 - tf_pmse_DA: 160.8804 - tf_pmse_5HT: 154.0409 - tf_pmse_pH: 0.0431 - tf_pmse_NE: 152.7891 - val_loss: 3.6749 - val_tf_pmse_DA: 1074.4774 - val_tf_pmse_5HT: 1151.0863 - val_tf_pmse_pH: 0.7776 - val_tf_pmse_NE: 1967.1997\n",
      "Epoch 27/100\n",
      "39600/39600 [==============================] - 39s 984us/step - loss: 0.0210 - tf_pmse_DA: 149.0435 - tf_pmse_5HT: 149.5213 - tf_pmse_pH: 0.0394 - tf_pmse_NE: 143.5646 - val_loss: 3.1617 - val_tf_pmse_DA: 862.7919 - val_tf_pmse_5HT: 2626.3029 - val_tf_pmse_pH: 0.2627 - val_tf_pmse_NE: 1604.1568\n",
      "Epoch 28/100\n",
      "39600/39600 [==============================] - 39s 986us/step - loss: 0.0202 - tf_pmse_DA: 150.4925 - tf_pmse_5HT: 145.8100 - tf_pmse_pH: 0.0373 - tf_pmse_NE: 142.5077 - val_loss: 3.7803 - val_tf_pmse_DA: 1004.2012 - val_tf_pmse_5HT: 2204.4159 - val_tf_pmse_pH: 0.2621 - val_tf_pmse_NE: 2571.5504\n",
      "Epoch 29/100\n",
      "39600/39600 [==============================] - 39s 983us/step - loss: 0.0186 - tf_pmse_DA: 139.4666 - tf_pmse_5HT: 136.6381 - tf_pmse_pH: 0.0381 - tf_pmse_NE: 136.0851 - val_loss: 2.8310 - val_tf_pmse_DA: 961.3595 - val_tf_pmse_5HT: 1849.0772 - val_tf_pmse_pH: 0.2511 - val_tf_pmse_NE: 2045.3032\n",
      "Epoch 30/100\n",
      "39600/39600 [==============================] - 39s 978us/step - loss: 0.0223 - tf_pmse_DA: 150.4417 - tf_pmse_5HT: 150.2743 - tf_pmse_pH: 0.0432 - tf_pmse_NE: 148.9787 - val_loss: 2.6184 - val_tf_pmse_DA: 853.4183 - val_tf_pmse_5HT: 2376.2535 - val_tf_pmse_pH: 0.2613 - val_tf_pmse_NE: 1222.8762\n",
      "Epoch 31/100\n",
      "39600/39600 [==============================] - 39s 985us/step - loss: 0.0180 - tf_pmse_DA: 137.4907 - tf_pmse_5HT: 134.4834 - tf_pmse_pH: 0.0373 - tf_pmse_NE: 133.9027 - val_loss: 3.3254 - val_tf_pmse_DA: 1094.7178 - val_tf_pmse_5HT: 2205.0549 - val_tf_pmse_pH: 0.2489 - val_tf_pmse_NE: 2106.4037\n",
      "Epoch 32/100\n",
      "39600/39600 [==============================] - 39s 982us/step - loss: 0.0198 - tf_pmse_DA: 149.0276 - tf_pmse_5HT: 141.2390 - tf_pmse_pH: 0.0384 - tf_pmse_NE: 139.1401 - val_loss: 3.7075 - val_tf_pmse_DA: 1006.2099 - val_tf_pmse_5HT: 2368.6317 - val_tf_pmse_pH: 0.2517 - val_tf_pmse_NE: 2359.2530\n",
      "Epoch 33/100\n",
      "39600/39600 [==============================] - 39s 983us/step - loss: 0.0195 - tf_pmse_DA: 147.2373 - tf_pmse_5HT: 142.8983 - tf_pmse_pH: 0.0384 - tf_pmse_NE: 136.7551 - val_loss: 3.4981 - val_tf_pmse_DA: 1445.9730 - val_tf_pmse_5HT: 2022.3926 - val_tf_pmse_pH: 0.3753 - val_tf_pmse_NE: 2021.2761\n",
      "Epoch 34/100\n",
      "39600/39600 [==============================] - 39s 981us/step - loss: 0.0196 - tf_pmse_DA: 145.5992 - tf_pmse_5HT: 139.7070 - tf_pmse_pH: 0.0391 - tf_pmse_NE: 138.1323 - val_loss: 2.6072 - val_tf_pmse_DA: 889.1444 - val_tf_pmse_5HT: 1579.8295 - val_tf_pmse_pH: 0.4052 - val_tf_pmse_NE: 1788.8045\n",
      "Epoch 35/100\n",
      "39600/39600 [==============================] - 39s 984us/step - loss: 0.0189 - tf_pmse_DA: 140.9255 - tf_pmse_5HT: 138.3038 - tf_pmse_pH: 0.0374 - tf_pmse_NE: 137.6078 - val_loss: 2.6030 - val_tf_pmse_DA: 1159.1597 - val_tf_pmse_5HT: 1653.2361 - val_tf_pmse_pH: 0.2961 - val_tf_pmse_NE: 1738.5086\n",
      "Epoch 36/100\n",
      "39600/39600 [==============================] - 39s 979us/step - loss: 0.0172 - tf_pmse_DA: 134.4689 - tf_pmse_5HT: 138.4057 - tf_pmse_pH: 0.0346 - tf_pmse_NE: 128.2493 - val_loss: 4.3165 - val_tf_pmse_DA: 1538.9960 - val_tf_pmse_5HT: 2564.2057 - val_tf_pmse_pH: 0.2835 - val_tf_pmse_NE: 2367.3677\n",
      "Epoch 37/100\n",
      "39600/39600 [==============================] - 39s 985us/step - loss: 0.0169 - tf_pmse_DA: 132.2550 - tf_pmse_5HT: 130.0703 - tf_pmse_pH: 0.0370 - tf_pmse_NE: 128.7333 - val_loss: 2.9736 - val_tf_pmse_DA: 940.7965 - val_tf_pmse_5HT: 1755.4242 - val_tf_pmse_pH: 0.5615 - val_tf_pmse_NE: 1462.1816\n",
      "Epoch 38/100\n",
      "39600/39600 [==============================] - 39s 983us/step - loss: 0.0196 - tf_pmse_DA: 139.5896 - tf_pmse_5HT: 138.2417 - tf_pmse_pH: 0.0399 - tf_pmse_NE: 141.1589 - val_loss: 1.9506 - val_tf_pmse_DA: 1155.7401 - val_tf_pmse_5HT: 1140.1321 - val_tf_pmse_pH: 0.2739 - val_tf_pmse_NE: 1354.9238\n",
      "Epoch 39/100\n",
      "39600/39600 [==============================] - 39s 979us/step - loss: 0.0149 - tf_pmse_DA: 116.2908 - tf_pmse_5HT: 120.0223 - tf_pmse_pH: 0.0359 - tf_pmse_NE: 122.2362 - val_loss: 2.5824 - val_tf_pmse_DA: 946.8528 - val_tf_pmse_5HT: 1799.7402 - val_tf_pmse_pH: 0.2510 - val_tf_pmse_NE: 1824.1919\n",
      "Epoch 40/100\n",
      "39600/39600 [==============================] - 39s 985us/step - loss: 0.0175 - tf_pmse_DA: 131.1547 - tf_pmse_5HT: 134.8659 - tf_pmse_pH: 0.0368 - tf_pmse_NE: 131.4810 - val_loss: 2.2131 - val_tf_pmse_DA: 864.7085 - val_tf_pmse_5HT: 1471.2429 - val_tf_pmse_pH: 0.4555 - val_tf_pmse_NE: 1210.5332\n",
      "Epoch 41/100\n",
      "39600/39600 [==============================] - 39s 984us/step - loss: 0.0191 - tf_pmse_DA: 141.4345 - tf_pmse_5HT: 140.8788 - tf_pmse_pH: 0.0386 - tf_pmse_NE: 137.3758 - val_loss: 3.1018 - val_tf_pmse_DA: 1278.2363 - val_tf_pmse_5HT: 2000.7399 - val_tf_pmse_pH: 0.2605 - val_tf_pmse_NE: 1950.7464\n",
      "Epoch 42/100\n",
      "39600/39600 [==============================] - 39s 985us/step - loss: 0.0175 - tf_pmse_DA: 136.5455 - tf_pmse_5HT: 132.2673 - tf_pmse_pH: 0.0374 - tf_pmse_NE: 126.4547 - val_loss: 1.9728 - val_tf_pmse_DA: 832.3405 - val_tf_pmse_5HT: 1429.9574 - val_tf_pmse_pH: 0.2562 - val_tf_pmse_NE: 1583.0956\n",
      "Epoch 43/100\n",
      "39600/39600 [==============================] - 39s 982us/step - loss: 0.0150 - tf_pmse_DA: 118.8675 - tf_pmse_5HT: 122.4043 - tf_pmse_pH: 0.0344 - tf_pmse_NE: 121.8833 - val_loss: 2.1211 - val_tf_pmse_DA: 1046.4024 - val_tf_pmse_5HT: 985.9394 - val_tf_pmse_pH: 0.3622 - val_tf_pmse_NE: 1631.0029\n",
      "Epoch 44/100\n",
      "39600/39600 [==============================] - 39s 985us/step - loss: 0.0155 - tf_pmse_DA: 122.0907 - tf_pmse_5HT: 123.1780 - tf_pmse_pH: 0.0357 - tf_pmse_NE: 120.6516 - val_loss: 3.0166 - val_tf_pmse_DA: 906.5847 - val_tf_pmse_5HT: 2192.7596 - val_tf_pmse_pH: 0.2881 - val_tf_pmse_NE: 1905.6792\n",
      "Epoch 45/100\n",
      "39600/39600 [==============================] - 39s 982us/step - loss: 0.0171 - tf_pmse_DA: 132.0286 - tf_pmse_5HT: 128.7725 - tf_pmse_pH: 0.0377 - tf_pmse_NE: 126.7026 - val_loss: 3.1614 - val_tf_pmse_DA: 1180.1316 - val_tf_pmse_5HT: 2197.8820 - val_tf_pmse_pH: 0.3131 - val_tf_pmse_NE: 1790.3641\n",
      "Epoch 46/100\n",
      "39600/39600 [==============================] - 39s 987us/step - loss: 0.0155 - tf_pmse_DA: 129.5693 - tf_pmse_5HT: 121.0428 - tf_pmse_pH: 0.0349 - tf_pmse_NE: 120.6330 - val_loss: 3.7451 - val_tf_pmse_DA: 1540.7144 - val_tf_pmse_5HT: 2288.6311 - val_tf_pmse_pH: 0.2489 - val_tf_pmse_NE: 2155.8571\n",
      "Epoch 47/100\n",
      "39600/39600 [==============================] - 39s 982us/step - loss: 0.0147 - tf_pmse_DA: 121.0281 - tf_pmse_5HT: 121.3671 - tf_pmse_pH: 0.0337 - tf_pmse_NE: 120.2127 - val_loss: 2.1685 - val_tf_pmse_DA: 839.0059 - val_tf_pmse_5HT: 970.1493 - val_tf_pmse_pH: 0.4170 - val_tf_pmse_NE: 1783.4396\n",
      "Epoch 48/100\n",
      "39600/39600 [==============================] - 39s 987us/step - loss: 0.0141 - tf_pmse_DA: 115.1487 - tf_pmse_5HT: 120.6682 - tf_pmse_pH: 0.0339 - tf_pmse_NE: 116.1225 - val_loss: 3.6273 - val_tf_pmse_DA: 1681.7226 - val_tf_pmse_5HT: 1944.2167 - val_tf_pmse_pH: 0.2549 - val_tf_pmse_NE: 2264.8734\n",
      "Epoch 49/100\n",
      "39600/39600 [==============================] - 39s 986us/step - loss: 0.0149 - tf_pmse_DA: 122.6838 - tf_pmse_5HT: 121.9834 - tf_pmse_pH: 0.0358 - tf_pmse_NE: 114.7435 - val_loss: 2.4581 - val_tf_pmse_DA: 1090.2755 - val_tf_pmse_5HT: 1315.6467 - val_tf_pmse_pH: 0.3294 - val_tf_pmse_NE: 1840.2351\n",
      "Epoch 50/100\n",
      "39600/39600 [==============================] - 39s 986us/step - loss: 0.0148 - tf_pmse_DA: 121.5368 - tf_pmse_5HT: 123.2745 - tf_pmse_pH: 0.0356 - tf_pmse_NE: 116.0671 - val_loss: 3.6074 - val_tf_pmse_DA: 1496.9389 - val_tf_pmse_5HT: 2054.0441 - val_tf_pmse_pH: 0.2696 - val_tf_pmse_NE: 2258.8099\n",
      "Epoch 51/100\n",
      "39600/39600 [==============================] - 39s 981us/step - loss: 0.0139 - tf_pmse_DA: 114.4450 - tf_pmse_5HT: 114.8172 - tf_pmse_pH: 0.0335 - tf_pmse_NE: 117.5851 - val_loss: 3.8262 - val_tf_pmse_DA: 1766.4469 - val_tf_pmse_5HT: 2159.4433 - val_tf_pmse_pH: 0.3042 - val_tf_pmse_NE: 2116.4900\n",
      "Epoch 52/100\n",
      "39600/39600 [==============================] - 39s 983us/step - loss: 0.0164 - tf_pmse_DA: 125.5185 - tf_pmse_5HT: 132.7433 - tf_pmse_pH: 0.0358 - tf_pmse_NE: 120.6897 - val_loss: 3.8368 - val_tf_pmse_DA: 1279.5093 - val_tf_pmse_5HT: 1915.8232 - val_tf_pmse_pH: 0.3993 - val_tf_pmse_NE: 2494.6750\n",
      "Epoch 53/100\n",
      "39600/39600 [==============================] - 39s 979us/step - loss: 0.0129 - tf_pmse_DA: 107.2012 - tf_pmse_5HT: 114.3975 - tf_pmse_pH: 0.0340 - tf_pmse_NE: 107.6386 - val_loss: 3.0023 - val_tf_pmse_DA: 1571.8054 - val_tf_pmse_5HT: 1644.4448 - val_tf_pmse_pH: 0.3564 - val_tf_pmse_NE: 1789.1678\n",
      "Epoch 54/100\n",
      "39600/39600 [==============================] - 39s 983us/step - loss: 0.0129 - tf_pmse_DA: 109.7520 - tf_pmse_5HT: 110.4396 - tf_pmse_pH: 0.0330 - tf_pmse_NE: 108.5314 - val_loss: 2.7782 - val_tf_pmse_DA: 972.0130 - val_tf_pmse_5HT: 1932.5985 - val_tf_pmse_pH: 0.2984 - val_tf_pmse_NE: 1799.7440\n",
      "Epoch 55/100\n",
      "39600/39600 [==============================] - 39s 983us/step - loss: 0.0151 - tf_pmse_DA: 119.6733 - tf_pmse_5HT: 120.8941 - tf_pmse_pH: 0.0357 - tf_pmse_NE: 116.9410 - val_loss: 3.0917 - val_tf_pmse_DA: 854.4915 - val_tf_pmse_5HT: 2120.0495 - val_tf_pmse_pH: 0.4172 - val_tf_pmse_NE: 1815.5577\n",
      "Epoch 56/100\n",
      "39600/39600 [==============================] - 39s 985us/step - loss: 0.0148 - tf_pmse_DA: 120.9771 - tf_pmse_5HT: 119.7672 - tf_pmse_pH: 0.0350 - tf_pmse_NE: 118.9597 - val_loss: 3.8185 - val_tf_pmse_DA: 1193.6347 - val_tf_pmse_5HT: 2163.9431 - val_tf_pmse_pH: 0.5299 - val_tf_pmse_NE: 1950.1087\n",
      "Epoch 57/100\n",
      "39600/39600 [==============================] - 39s 982us/step - loss: 0.0156 - tf_pmse_DA: 125.1165 - tf_pmse_5HT: 123.0216 - tf_pmse_pH: 0.0348 - tf_pmse_NE: 122.4805 - val_loss: 3.2902 - val_tf_pmse_DA: 1769.3792 - val_tf_pmse_5HT: 1848.7788 - val_tf_pmse_pH: 0.2974 - val_tf_pmse_NE: 1873.7509\n",
      "Epoch 58/100\n",
      "39600/39600 [==============================] - 39s 987us/step - loss: 0.0140 - tf_pmse_DA: 117.9796 - tf_pmse_5HT: 111.3380 - tf_pmse_pH: 0.0326 - tf_pmse_NE: 118.6887 - val_loss: 3.2354 - val_tf_pmse_DA: 1369.4774 - val_tf_pmse_5HT: 1943.6764 - val_tf_pmse_pH: 0.2688 - val_tf_pmse_NE: 2070.8965\n",
      "Epoch 59/100\n",
      "39600/39600 [==============================] - 39s 984us/step - loss: 0.0122 - tf_pmse_DA: 106.2606 - tf_pmse_5HT: 106.2568 - tf_pmse_pH: 0.0329 - tf_pmse_NE: 105.3100 - val_loss: 2.7626 - val_tf_pmse_DA: 1152.1632 - val_tf_pmse_5HT: 1790.2921 - val_tf_pmse_pH: 0.3297 - val_tf_pmse_NE: 1728.2967\n",
      "Epoch 60/100\n",
      "39600/39600 [==============================] - 39s 985us/step - loss: 0.0134 - tf_pmse_DA: 115.0461 - tf_pmse_5HT: 115.0668 - tf_pmse_pH: 0.0322 - tf_pmse_NE: 111.8075 - val_loss: 3.5854 - val_tf_pmse_DA: 1369.4346 - val_tf_pmse_5HT: 2072.1296 - val_tf_pmse_pH: 0.3884 - val_tf_pmse_NE: 2077.0188\n",
      "Epoch 61/100\n",
      "39600/39600 [==============================] - 39s 984us/step - loss: 0.0121 - tf_pmse_DA: 111.4499 - tf_pmse_5HT: 107.0781 - tf_pmse_pH: 0.0311 - tf_pmse_NE: 102.0023 - val_loss: 2.4327 - val_tf_pmse_DA: 925.0774 - val_tf_pmse_5HT: 1440.2251 - val_tf_pmse_pH: 0.2671 - val_tf_pmse_NE: 1964.9137\n",
      "Epoch 62/100\n",
      "39600/39600 [==============================] - 39s 988us/step - loss: 0.0131 - tf_pmse_DA: 112.8149 - tf_pmse_5HT: 115.3707 - tf_pmse_pH: 0.0315 - tf_pmse_NE: 111.5574 - val_loss: 2.8751 - val_tf_pmse_DA: 1474.8603 - val_tf_pmse_5HT: 1505.0501 - val_tf_pmse_pH: 0.2598 - val_tf_pmse_NE: 2009.2393\n",
      "Epoch 63/100\n",
      "39600/39600 [==============================] - 39s 983us/step - loss: 0.0126 - tf_pmse_DA: 108.5428 - tf_pmse_5HT: 111.8438 - tf_pmse_pH: 0.0326 - tf_pmse_NE: 105.5325 - val_loss: 2.8399 - val_tf_pmse_DA: 1239.0981 - val_tf_pmse_5HT: 1781.7979 - val_tf_pmse_pH: 0.2975 - val_tf_pmse_NE: 1833.1481\n",
      "Epoch 64/100\n",
      "39600/39600 [==============================] - 39s 987us/step - loss: 0.0125 - tf_pmse_DA: 110.4813 - tf_pmse_5HT: 105.1513 - tf_pmse_pH: 0.0329 - tf_pmse_NE: 106.7027 - val_loss: 2.6065 - val_tf_pmse_DA: 1118.5151 - val_tf_pmse_5HT: 1338.7371 - val_tf_pmse_pH: 0.4628 - val_tf_pmse_NE: 1581.5703\n",
      "Epoch 65/100\n",
      "39600/39600 [==============================] - 39s 984us/step - loss: 0.0122 - tf_pmse_DA: 102.6643 - tf_pmse_5HT: 108.1839 - tf_pmse_pH: 0.0330 - tf_pmse_NE: 108.5113 - val_loss: 2.6920 - val_tf_pmse_DA: 1289.0587 - val_tf_pmse_5HT: 1717.0519 - val_tf_pmse_pH: 0.2777 - val_tf_pmse_NE: 1728.3613\n",
      "Epoch 66/100\n",
      "39600/39600 [==============================] - 39s 982us/step - loss: 0.0117 - tf_pmse_DA: 103.0860 - tf_pmse_5HT: 106.9041 - tf_pmse_pH: 0.0317 - tf_pmse_NE: 101.9284 - val_loss: 2.6587 - val_tf_pmse_DA: 1152.1385 - val_tf_pmse_5HT: 1845.6842 - val_tf_pmse_pH: 0.2651 - val_tf_pmse_NE: 1672.0068\n",
      "Epoch 67/100\n",
      "39600/39600 [==============================] - 39s 986us/step - loss: 0.0118 - tf_pmse_DA: 106.2936 - tf_pmse_5HT: 106.1400 - tf_pmse_pH: 0.0325 - tf_pmse_NE: 100.2406 - val_loss: 2.8445 - val_tf_pmse_DA: 1262.9617 - val_tf_pmse_5HT: 1901.5287 - val_tf_pmse_pH: 0.2526 - val_tf_pmse_NE: 1782.7414\n",
      "Epoch 68/100\n",
      "39600/39600 [==============================] - 39s 981us/step - loss: 0.0127 - tf_pmse_DA: 111.0980 - tf_pmse_5HT: 108.4542 - tf_pmse_pH: 0.0320 - tf_pmse_NE: 107.7610 - val_loss: 3.5649 - val_tf_pmse_DA: 1763.4575 - val_tf_pmse_5HT: 1981.0340 - val_tf_pmse_pH: 0.2638 - val_tf_pmse_NE: 2091.6548\n",
      "Epoch 69/100\n",
      "39600/39600 [==============================] - 39s 986us/step - loss: 0.0138 - tf_pmse_DA: 119.2822 - tf_pmse_5HT: 117.2881 - tf_pmse_pH: 0.0314 - tf_pmse_NE: 110.5086 - val_loss: 2.5170 - val_tf_pmse_DA: 900.3750 - val_tf_pmse_5HT: 1669.1081 - val_tf_pmse_pH: 0.2618 - val_tf_pmse_NE: 1894.2210\n",
      "Epoch 70/100\n",
      "39600/39600 [==============================] - 39s 980us/step - loss: 0.0119 - tf_pmse_DA: 104.9535 - tf_pmse_5HT: 110.3234 - tf_pmse_pH: 0.0314 - tf_pmse_NE: 100.5932 - val_loss: 3.0635 - val_tf_pmse_DA: 1416.6731 - val_tf_pmse_5HT: 1828.6378 - val_tf_pmse_pH: 0.3470 - val_tf_pmse_NE: 1821.1135\n",
      "Epoch 71/100\n",
      "39600/39600 [==============================] - 39s 983us/step - loss: 0.0119 - tf_pmse_DA: 100.6038 - tf_pmse_5HT: 110.9495 - tf_pmse_pH: 0.0309 - tf_pmse_NE: 102.0873 - val_loss: 2.8065 - val_tf_pmse_DA: 1268.4429 - val_tf_pmse_5HT: 1605.1457 - val_tf_pmse_pH: 0.2703 - val_tf_pmse_NE: 1989.0049\n",
      "Epoch 72/100\n",
      "39600/39600 [==============================] - 39s 980us/step - loss: 0.0117 - tf_pmse_DA: 102.8929 - tf_pmse_5HT: 105.0143 - tf_pmse_pH: 0.0315 - tf_pmse_NE: 103.3623 - val_loss: 2.6455 - val_tf_pmse_DA: 1197.8165 - val_tf_pmse_5HT: 1836.3795 - val_tf_pmse_pH: 0.2620 - val_tf_pmse_NE: 1613.3430\n",
      "Epoch 73/100\n",
      "39600/39600 [==============================] - 39s 982us/step - loss: 0.0113 - tf_pmse_DA: 100.3194 - tf_pmse_5HT: 103.8581 - tf_pmse_pH: 0.0303 - tf_pmse_NE: 101.0103 - val_loss: 2.9576 - val_tf_pmse_DA: 1146.4656 - val_tf_pmse_5HT: 1904.7805 - val_tf_pmse_pH: 0.2818 - val_tf_pmse_NE: 1922.9776\n",
      "Epoch 74/100\n",
      "39600/39600 [==============================] - 39s 978us/step - loss: 0.0119 - tf_pmse_DA: 106.8427 - tf_pmse_5HT: 105.2017 - tf_pmse_pH: 0.0312 - tf_pmse_NE: 102.4048 - val_loss: 3.6861 - val_tf_pmse_DA: 1938.5285 - val_tf_pmse_5HT: 1942.7402 - val_tf_pmse_pH: 0.3086 - val_tf_pmse_NE: 2021.6881\n",
      "Epoch 75/100\n",
      "39600/39600 [==============================] - 39s 982us/step - loss: 0.0101 - tf_pmse_DA: 87.6067 - tf_pmse_5HT: 105.8874 - tf_pmse_pH: 0.0291 - tf_pmse_NE: 94.6183 - val_loss: 2.9242 - val_tf_pmse_DA: 1194.0821 - val_tf_pmse_5HT: 1652.3094 - val_tf_pmse_pH: 0.3379 - val_tf_pmse_NE: 1998.9855\n",
      "Epoch 76/100\n",
      "39600/39600 [==============================] - 39s 982us/step - loss: 0.0099 - tf_pmse_DA: 93.4126 - tf_pmse_5HT: 98.1258 - tf_pmse_pH: 0.0283 - tf_pmse_NE: 97.0180 - val_loss: 2.7586 - val_tf_pmse_DA: 1390.1454 - val_tf_pmse_5HT: 1622.8798 - val_tf_pmse_pH: 0.2630 - val_tf_pmse_NE: 1821.1756\n",
      "Epoch 77/100\n",
      "39600/39600 [==============================] - 39s 981us/step - loss: 0.0107 - tf_pmse_DA: 98.4063 - tf_pmse_5HT: 96.5303 - tf_pmse_pH: 0.0323 - tf_pmse_NE: 95.5491 - val_loss: 3.6397 - val_tf_pmse_DA: 1779.3975 - val_tf_pmse_5HT: 1975.5559 - val_tf_pmse_pH: 0.2525 - val_tf_pmse_NE: 2172.8860\n",
      "Epoch 78/100\n",
      "39600/39600 [==============================] - 39s 980us/step - loss: 0.0105 - tf_pmse_DA: 102.7014 - tf_pmse_5HT: 98.4335 - tf_pmse_pH: 0.0303 - tf_pmse_NE: 95.0340 - val_loss: 2.5601 - val_tf_pmse_DA: 1398.5618 - val_tf_pmse_5HT: 1608.7551 - val_tf_pmse_pH: 0.2582 - val_tf_pmse_NE: 1594.3998\n",
      "Epoch 79/100\n",
      "39600/39600 [==============================] - 39s 989us/step - loss: 0.0102 - tf_pmse_DA: 97.9254 - tf_pmse_5HT: 93.6838 - tf_pmse_pH: 0.0313 - tf_pmse_NE: 96.8518 - val_loss: 3.4843 - val_tf_pmse_DA: 1803.7988 - val_tf_pmse_5HT: 1543.3420 - val_tf_pmse_pH: 0.2722 - val_tf_pmse_NE: 2306.6714\n",
      "Epoch 80/100\n",
      "39600/39600 [==============================] - 39s 994us/step - loss: 0.0109 - tf_pmse_DA: 99.2818 - tf_pmse_5HT: 99.2994 - tf_pmse_pH: 0.0309 - tf_pmse_NE: 98.6293 - val_loss: 2.9393 - val_tf_pmse_DA: 1691.8111 - val_tf_pmse_5HT: 1248.9638 - val_tf_pmse_pH: 0.3111 - val_tf_pmse_NE: 1988.8001\n",
      "Epoch 81/100\n",
      "39600/39600 [==============================] - 39s 987us/step - loss: 0.0101 - tf_pmse_DA: 90.1844 - tf_pmse_5HT: 97.8652 - tf_pmse_pH: 0.0308 - tf_pmse_NE: 97.0506 - val_loss: 3.3954 - val_tf_pmse_DA: 1582.2525 - val_tf_pmse_5HT: 1943.9306 - val_tf_pmse_pH: 0.2612 - val_tf_pmse_NE: 2102.3114\n",
      "Epoch 82/100\n",
      "39600/39600 [==============================] - 39s 984us/step - loss: 0.0100 - tf_pmse_DA: 92.9213 - tf_pmse_5HT: 99.4453 - tf_pmse_pH: 0.0297 - tf_pmse_NE: 94.1185 - val_loss: 2.4313 - val_tf_pmse_DA: 1116.6259 - val_tf_pmse_5HT: 1577.8992 - val_tf_pmse_pH: 0.2857 - val_tf_pmse_NE: 1628.0620\n",
      "Epoch 83/100\n",
      "39600/39600 [==============================] - 39s 981us/step - loss: 0.0127 - tf_pmse_DA: 112.2078 - tf_pmse_5HT: 108.0882 - tf_pmse_pH: 0.0327 - tf_pmse_NE: 103.4790 - val_loss: 2.3150 - val_tf_pmse_DA: 1419.2591 - val_tf_pmse_5HT: 890.5458 - val_tf_pmse_pH: 0.2970 - val_tf_pmse_NE: 1806.1474\n",
      "Epoch 84/100\n",
      "39600/39600 [==============================] - 39s 983us/step - loss: 0.0095 - tf_pmse_DA: 91.3998 - tf_pmse_5HT: 93.7978 - tf_pmse_pH: 0.0300 - tf_pmse_NE: 89.0836 - val_loss: 4.1807 - val_tf_pmse_DA: 1895.2388 - val_tf_pmse_5HT: 2145.4049 - val_tf_pmse_pH: 0.3354 - val_tf_pmse_NE: 2309.3620\n",
      "Epoch 85/100\n",
      "39600/39600 [==============================] - 39s 982us/step - loss: 0.0100 - tf_pmse_DA: 95.0572 - tf_pmse_5HT: 99.4905 - tf_pmse_pH: 0.0289 - tf_pmse_NE: 89.4057 - val_loss: 2.5515 - val_tf_pmse_DA: 1256.6398 - val_tf_pmse_5HT: 1359.6163 - val_tf_pmse_pH: 0.2563 - val_tf_pmse_NE: 1911.0504\n",
      "Epoch 86/100\n",
      "39600/39600 [==============================] - 39s 980us/step - loss: 0.0097 - tf_pmse_DA: 92.3951 - tf_pmse_5HT: 96.0400 - tf_pmse_pH: 0.0299 - tf_pmse_NE: 89.4507 - val_loss: 3.5053 - val_tf_pmse_DA: 1881.1411 - val_tf_pmse_5HT: 1901.3752 - val_tf_pmse_pH: 0.2555 - val_tf_pmse_NE: 2006.1780\n",
      "Epoch 87/100\n",
      "39600/39600 [==============================] - 39s 986us/step - loss: 0.0104 - tf_pmse_DA: 94.0942 - tf_pmse_5HT: 96.6387 - tf_pmse_pH: 0.0288 - tf_pmse_NE: 101.6614 - val_loss: 2.0674 - val_tf_pmse_DA: 1086.6586 - val_tf_pmse_5HT: 1202.4849 - val_tf_pmse_pH: 0.2526 - val_tf_pmse_NE: 1570.6230\n",
      "Epoch 88/100\n",
      "39600/39600 [==============================] - 39s 983us/step - loss: 0.0095 - tf_pmse_DA: 96.0304 - tf_pmse_5HT: 95.8141 - tf_pmse_pH: 0.0275 - tf_pmse_NE: 86.5524 - val_loss: 3.1757 - val_tf_pmse_DA: 1493.9158 - val_tf_pmse_5HT: 1618.9638 - val_tf_pmse_pH: 0.2579 - val_tf_pmse_NE: 2211.6681\n",
      "Epoch 89/100\n",
      "39600/39600 [==============================] - 39s 988us/step - loss: 0.0119 - tf_pmse_DA: 105.6487 - tf_pmse_5HT: 101.6059 - tf_pmse_pH: 0.0326 - tf_pmse_NE: 101.7233 - val_loss: 4.0197 - val_tf_pmse_DA: 1918.3325 - val_tf_pmse_5HT: 2265.7245 - val_tf_pmse_pH: 0.2786 - val_tf_pmse_NE: 2106.7181\n",
      "Epoch 90/100\n",
      "39600/39600 [==============================] - 39s 986us/step - loss: 0.0099 - tf_pmse_DA: 101.9266 - tf_pmse_5HT: 93.1221 - tf_pmse_pH: 0.0286 - tf_pmse_NE: 91.0207 - val_loss: 3.3562 - val_tf_pmse_DA: 1498.5939 - val_tf_pmse_5HT: 1857.0917 - val_tf_pmse_pH: 0.2746 - val_tf_pmse_NE: 2181.9068\n",
      "Epoch 91/100\n",
      "39600/39600 [==============================] - 39s 983us/step - loss: 0.0097 - tf_pmse_DA: 92.7092 - tf_pmse_5HT: 96.0288 - tf_pmse_pH: 0.0280 - tf_pmse_NE: 94.4156 - val_loss: 2.6528 - val_tf_pmse_DA: 1526.7709 - val_tf_pmse_5HT: 1380.9846 - val_tf_pmse_pH: 0.2803 - val_tf_pmse_NE: 1771.2414\n",
      "Epoch 92/100\n",
      "39600/39600 [==============================] - 39s 982us/step - loss: 0.0102 - tf_pmse_DA: 92.7373 - tf_pmse_5HT: 92.0577 - tf_pmse_pH: 0.0318 - tf_pmse_NE: 92.3264 - val_loss: 2.6490 - val_tf_pmse_DA: 1534.6600 - val_tf_pmse_5HT: 1341.2944 - val_tf_pmse_pH: 0.3131 - val_tf_pmse_NE: 1718.2567\n",
      "Epoch 93/100\n",
      "39600/39600 [==============================] - 39s 979us/step - loss: 0.0097 - tf_pmse_DA: 96.5595 - tf_pmse_5HT: 90.3755 - tf_pmse_pH: 0.0292 - tf_pmse_NE: 89.4151 - val_loss: 3.1258 - val_tf_pmse_DA: 1534.5189 - val_tf_pmse_5HT: 1899.2040 - val_tf_pmse_pH: 0.2689 - val_tf_pmse_NE: 1867.0229\n",
      "Epoch 94/100\n",
      "39600/39600 [==============================] - 39s 987us/step - loss: 0.0093 - tf_pmse_DA: 93.7906 - tf_pmse_5HT: 96.4633 - tf_pmse_pH: 0.0277 - tf_pmse_NE: 85.6320 - val_loss: 2.5500 - val_tf_pmse_DA: 1285.5985 - val_tf_pmse_5HT: 1852.6723 - val_tf_pmse_pH: 0.2521 - val_tf_pmse_NE: 1433.5891\n",
      "Epoch 95/100\n",
      "39600/39600 [==============================] - 39s 986us/step - loss: 0.0097 - tf_pmse_DA: 89.4349 - tf_pmse_5HT: 97.7936 - tf_pmse_pH: 0.0290 - tf_pmse_NE: 94.5748 - val_loss: 2.9799 - val_tf_pmse_DA: 1593.3803 - val_tf_pmse_5HT: 1678.9931 - val_tf_pmse_pH: 0.3242 - val_tf_pmse_NE: 1766.7727\n",
      "Epoch 96/100\n",
      "39600/39600 [==============================] - 39s 985us/step - loss: 0.0094 - tf_pmse_DA: 94.0178 - tf_pmse_5HT: 95.5986 - tf_pmse_pH: 0.0272 - tf_pmse_NE: 89.4612 - val_loss: 3.0285 - val_tf_pmse_DA: 1704.2108 - val_tf_pmse_5HT: 1784.7036 - val_tf_pmse_pH: 0.2712 - val_tf_pmse_NE: 1702.6707\n",
      "Epoch 97/100\n",
      "39600/39600 [==============================] - 39s 982us/step - loss: 0.0092 - tf_pmse_DA: 88.2891 - tf_pmse_5HT: 93.1715 - tf_pmse_pH: 0.0283 - tf_pmse_NE: 90.1481 - val_loss: 2.8632 - val_tf_pmse_DA: 1659.4574 - val_tf_pmse_5HT: 1307.4070 - val_tf_pmse_pH: 0.2569 - val_tf_pmse_NE: 1984.7365\n",
      "Epoch 98/100\n",
      "39600/39600 [==============================] - 39s 984us/step - loss: 0.0089 - tf_pmse_DA: 85.8837 - tf_pmse_5HT: 90.8850 - tf_pmse_pH: 0.0286 - tf_pmse_NE: 84.4172 - val_loss: 2.2452 - val_tf_pmse_DA: 1175.0498 - val_tf_pmse_5HT: 1480.7577 - val_tf_pmse_pH: 0.2654 - val_tf_pmse_NE: 1479.8174\n",
      "Epoch 99/100\n",
      "39600/39600 [==============================] - 39s 976us/step - loss: 0.0099 - tf_pmse_DA: 97.3044 - tf_pmse_5HT: 95.2393 - tf_pmse_pH: 0.0294 - tf_pmse_NE: 92.4647 - val_loss: 3.0290 - val_tf_pmse_DA: 1336.0339 - val_tf_pmse_5HT: 2019.5366 - val_tf_pmse_pH: 0.2789 - val_tf_pmse_NE: 1762.6526\n",
      "Epoch 100/100\n",
      "39600/39600 [==============================] - 39s 986us/step - loss: 0.0087 - tf_pmse_DA: 85.1381 - tf_pmse_5HT: 86.5466 - tf_pmse_pH: 0.0291 - tf_pmse_NE: 86.0573 - val_loss: 2.7701 - val_tf_pmse_DA: 1341.0212 - val_tf_pmse_5HT: 1786.2684 - val_tf_pmse_pH: 0.3361 - val_tf_pmse_NE: 1561.2989\n",
      "predicting test set... done.\n"
     ]
    },
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       "      <th>rmse_DA</th>\n",
       "      <th>rmse_5HT</th>\n",
       "      <th>rmse_pH</th>\n",
       "      <th>rmse_NE</th>\n",
       "      <th>duration</th>\n",
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     "text": [
      "probe MMA004W01R04 (1 out of 7)\n",
      "loading previous weights...\n",
      "mini batch size: 128\n",
      "Train on 39600 samples, validate on 39600 samples\n",
      "Epoch 1/100\n",
      "39600/39600 [==============================] - 45s 1ms/step - loss: 9.3755 - tf_pmse_DA: 2033.6034 - tf_pmse_5HT: 2275.4397 - tf_pmse_pH: 0.4863 - tf_pmse_NE: 2160.5125 - val_loss: 4.7905 - val_tf_pmse_DA: 2166.0134 - val_tf_pmse_5HT: 2021.9498 - val_tf_pmse_pH: 0.5715 - val_tf_pmse_NE: 2157.4599\n",
      "Epoch 2/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.3345 - tf_pmse_DA: 700.2191 - tf_pmse_5HT: 667.8745 - tf_pmse_pH: 0.0958 - tf_pmse_NE: 609.0535 - val_loss: 1.3822 - val_tf_pmse_DA: 874.6271 - val_tf_pmse_5HT: 1283.6424 - val_tf_pmse_pH: 0.2861 - val_tf_pmse_NE: 1077.0526\n",
      "Epoch 3/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.1333 - tf_pmse_DA: 461.7793 - tf_pmse_5HT: 421.1275 - tf_pmse_pH: 0.0644 - tf_pmse_NE: 351.0016 - val_loss: 3.4322 - val_tf_pmse_DA: 1067.6676 - val_tf_pmse_5HT: 1281.3467 - val_tf_pmse_pH: 0.6672 - val_tf_pmse_NE: 1874.2959\n",
      "Epoch 4/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0744 - tf_pmse_DA: 342.4538 - tf_pmse_5HT: 325.4402 - tf_pmse_pH: 0.0528 - tf_pmse_NE: 244.6683 - val_loss: 3.5300 - val_tf_pmse_DA: 1129.0387 - val_tf_pmse_5HT: 1607.5249 - val_tf_pmse_pH: 0.7579 - val_tf_pmse_NE: 1183.1994\n",
      "Epoch 5/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0568 - tf_pmse_DA: 292.6244 - tf_pmse_5HT: 280.6410 - tf_pmse_pH: 0.0494 - tf_pmse_NE: 216.6357 - val_loss: 4.2770 - val_tf_pmse_DA: 1648.6631 - val_tf_pmse_5HT: 1424.0013 - val_tf_pmse_pH: 0.7417 - val_tf_pmse_NE: 1970.2892\n",
      "Epoch 6/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0499 - tf_pmse_DA: 274.3820 - tf_pmse_5HT: 264.4858 - tf_pmse_pH: 0.0464 - tf_pmse_NE: 197.0115 - val_loss: 5.7208 - val_tf_pmse_DA: 1947.8506 - val_tf_pmse_5HT: 2259.1720 - val_tf_pmse_pH: 0.8255 - val_tf_pmse_NE: 2113.9213\n",
      "Epoch 7/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0413 - tf_pmse_DA: 246.6056 - tf_pmse_5HT: 235.8327 - tf_pmse_pH: 0.0440 - tf_pmse_NE: 183.4552 - val_loss: 6.4807 - val_tf_pmse_DA: 1598.4957 - val_tf_pmse_5HT: 2332.1021 - val_tf_pmse_pH: 0.9499 - val_tf_pmse_NE: 2533.5225\n",
      "Epoch 8/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0415 - tf_pmse_DA: 246.7307 - tf_pmse_5HT: 235.2045 - tf_pmse_pH: 0.0442 - tf_pmse_NE: 183.8812 - val_loss: 7.0884 - val_tf_pmse_DA: 2355.6763 - val_tf_pmse_5HT: 2604.6091 - val_tf_pmse_pH: 0.8833 - val_tf_pmse_NE: 2442.6137\n",
      "Epoch 9/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.0377 - tf_pmse_DA: 229.4815 - tf_pmse_5HT: 225.3582 - tf_pmse_pH: 0.0452 - tf_pmse_NE: 170.6300 - val_loss: 4.0917 - val_tf_pmse_DA: 1656.5017 - val_tf_pmse_5HT: 1460.4123 - val_tf_pmse_pH: 0.7652 - val_tf_pmse_NE: 1591.1218\n",
      "Epoch 10/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0357 - tf_pmse_DA: 226.5917 - tf_pmse_5HT: 220.5359 - tf_pmse_pH: 0.0406 - tf_pmse_NE: 167.5748 - val_loss: 5.9672 - val_tf_pmse_DA: 2227.5748 - val_tf_pmse_5HT: 2570.6958 - val_tf_pmse_pH: 0.7854 - val_tf_pmse_NE: 1917.9385\n",
      "Epoch 11/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0336 - tf_pmse_DA: 218.8303 - tf_pmse_5HT: 212.4267 - tf_pmse_pH: 0.0410 - tf_pmse_NE: 162.0514 - val_loss: 5.8667 - val_tf_pmse_DA: 1768.6536 - val_tf_pmse_5HT: 2344.1958 - val_tf_pmse_pH: 0.8580 - val_tf_pmse_NE: 2193.1735\n",
      "Epoch 12/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0336 - tf_pmse_DA: 220.9143 - tf_pmse_5HT: 211.1865 - tf_pmse_pH: 0.0406 - tf_pmse_NE: 162.2632 - val_loss: 5.5241 - val_tf_pmse_DA: 1917.0940 - val_tf_pmse_5HT: 2299.4315 - val_tf_pmse_pH: 0.7549 - val_tf_pmse_NE: 2202.8916\n",
      "Epoch 13/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0314 - tf_pmse_DA: 212.7573 - tf_pmse_5HT: 201.2264 - tf_pmse_pH: 0.0413 - tf_pmse_NE: 150.8878 - val_loss: 5.5676 - val_tf_pmse_DA: 1457.5504 - val_tf_pmse_5HT: 2234.4641 - val_tf_pmse_pH: 0.9339 - val_tf_pmse_NE: 1908.8096\n",
      "Epoch 14/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0306 - tf_pmse_DA: 210.7293 - tf_pmse_5HT: 197.7300 - tf_pmse_pH: 0.0389 - tf_pmse_NE: 156.2551 - val_loss: 8.4164 - val_tf_pmse_DA: 2225.5301 - val_tf_pmse_5HT: 3410.5911 - val_tf_pmse_pH: 0.9968 - val_tf_pmse_NE: 2283.0230\n",
      "Epoch 15/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0311 - tf_pmse_DA: 209.5559 - tf_pmse_5HT: 200.8742 - tf_pmse_pH: 0.0390 - tf_pmse_NE: 160.4589 - val_loss: 5.9327 - val_tf_pmse_DA: 2226.7870 - val_tf_pmse_5HT: 2513.4753 - val_tf_pmse_pH: 0.7604 - val_tf_pmse_NE: 2059.1466\n",
      "Epoch 16/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0322 - tf_pmse_DA: 212.7665 - tf_pmse_5HT: 200.3921 - tf_pmse_pH: 0.0431 - tf_pmse_NE: 157.7782 - val_loss: 6.7952 - val_tf_pmse_DA: 2148.0305 - val_tf_pmse_5HT: 2496.4217 - val_tf_pmse_pH: 0.9393 - val_tf_pmse_NE: 2259.0467\n",
      "Epoch 17/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0292 - tf_pmse_DA: 203.3327 - tf_pmse_5HT: 194.3103 - tf_pmse_pH: 0.0389 - tf_pmse_NE: 148.2926 - val_loss: 7.1183 - val_tf_pmse_DA: 2162.9267 - val_tf_pmse_5HT: 2984.3873 - val_tf_pmse_pH: 0.8994 - val_tf_pmse_NE: 2150.0753\n",
      "Epoch 18/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0301 - tf_pmse_DA: 208.0690 - tf_pmse_5HT: 195.0492 - tf_pmse_pH: 0.0392 - tf_pmse_NE: 154.4571 - val_loss: 7.9740 - val_tf_pmse_DA: 1895.3497 - val_tf_pmse_5HT: 3032.7196 - val_tf_pmse_pH: 1.0924 - val_tf_pmse_NE: 2236.2678\n",
      "Epoch 19/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0292 - tf_pmse_DA: 201.9188 - tf_pmse_5HT: 192.0790 - tf_pmse_pH: 0.0397 - tf_pmse_NE: 151.5487 - val_loss: 6.7713 - val_tf_pmse_DA: 2266.7723 - val_tf_pmse_5HT: 2555.8649 - val_tf_pmse_pH: 0.8502 - val_tf_pmse_NE: 2438.9815\n",
      "Epoch 20/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0285 - tf_pmse_DA: 193.7093 - tf_pmse_5HT: 191.6980 - tf_pmse_pH: 0.0404 - tf_pmse_NE: 151.0653 - val_loss: 6.3122 - val_tf_pmse_DA: 2275.0358 - val_tf_pmse_5HT: 2798.4672 - val_tf_pmse_pH: 0.8169 - val_tf_pmse_NE: 1796.5306\n",
      "Epoch 21/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0289 - tf_pmse_DA: 200.5491 - tf_pmse_5HT: 190.4297 - tf_pmse_pH: 0.0410 - tf_pmse_NE: 148.9114 - val_loss: 5.8328 - val_tf_pmse_DA: 2497.8948 - val_tf_pmse_5HT: 2526.6564 - val_tf_pmse_pH: 0.7280 - val_tf_pmse_NE: 1756.5195\n",
      "Epoch 22/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0268 - tf_pmse_DA: 195.8372 - tf_pmse_5HT: 181.2159 - tf_pmse_pH: 0.0383 - tf_pmse_NE: 142.3967 - val_loss: 6.1516 - val_tf_pmse_DA: 1827.5110 - val_tf_pmse_5HT: 2741.7280 - val_tf_pmse_pH: 0.9298 - val_tf_pmse_NE: 1607.2028\n",
      "Epoch 23/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0273 - tf_pmse_DA: 192.4031 - tf_pmse_5HT: 184.8498 - tf_pmse_pH: 0.0389 - tf_pmse_NE: 144.8554 - val_loss: 7.1758 - val_tf_pmse_DA: 2050.5063 - val_tf_pmse_5HT: 2883.5869 - val_tf_pmse_pH: 0.9056 - val_tf_pmse_NE: 2410.1412\n",
      "Epoch 24/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0277 - tf_pmse_DA: 194.4287 - tf_pmse_5HT: 184.6252 - tf_pmse_pH: 0.0387 - tf_pmse_NE: 146.9484 - val_loss: 4.9525 - val_tf_pmse_DA: 1571.6374 - val_tf_pmse_5HT: 2593.5965 - val_tf_pmse_pH: 0.7639 - val_tf_pmse_NE: 1458.8577\n",
      "Epoch 25/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0266 - tf_pmse_DA: 190.1812 - tf_pmse_5HT: 183.4593 - tf_pmse_pH: 0.0379 - tf_pmse_NE: 145.8265 - val_loss: 7.0260 - val_tf_pmse_DA: 2310.7701 - val_tf_pmse_5HT: 2843.0161 - val_tf_pmse_pH: 0.8280 - val_tf_pmse_NE: 2391.8442\n",
      "Epoch 26/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0268 - tf_pmse_DA: 192.1815 - tf_pmse_5HT: 180.9257 - tf_pmse_pH: 0.0389 - tf_pmse_NE: 145.9077 - val_loss: 6.5050 - val_tf_pmse_DA: 2143.9961 - val_tf_pmse_5HT: 2777.4357 - val_tf_pmse_pH: 0.8025 - val_tf_pmse_NE: 2235.6927\n",
      "Epoch 27/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0280 - tf_pmse_DA: 199.5120 - tf_pmse_5HT: 185.7167 - tf_pmse_pH: 0.0402 - tf_pmse_NE: 145.1191 - val_loss: 6.8720 - val_tf_pmse_DA: 1785.1974 - val_tf_pmse_5HT: 2245.7261 - val_tf_pmse_pH: 1.0739 - val_tf_pmse_NE: 2306.1272\n",
      "Epoch 28/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0227 - tf_pmse_DA: 179.0625 - tf_pmse_5HT: 163.3627 - tf_pmse_pH: 0.0360 - tf_pmse_NE: 131.6293 - val_loss: 6.9946 - val_tf_pmse_DA: 2529.9734 - val_tf_pmse_5HT: 2831.4930 - val_tf_pmse_pH: 0.7986 - val_tf_pmse_NE: 2261.6169\n",
      "Epoch 29/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0257 - tf_pmse_DA: 186.5389 - tf_pmse_5HT: 178.4751 - tf_pmse_pH: 0.0379 - tf_pmse_NE: 141.2508 - val_loss: 5.9387 - val_tf_pmse_DA: 1782.2712 - val_tf_pmse_5HT: 2490.5719 - val_tf_pmse_pH: 0.9154 - val_tf_pmse_NE: 1869.8952\n",
      "Epoch 30/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0258 - tf_pmse_DA: 181.1035 - tf_pmse_5HT: 179.0125 - tf_pmse_pH: 0.0399 - tf_pmse_NE: 140.5379 - val_loss: 5.8509 - val_tf_pmse_DA: 2022.7358 - val_tf_pmse_5HT: 2542.0917 - val_tf_pmse_pH: 0.7793 - val_tf_pmse_NE: 2090.8325\n",
      "Epoch 31/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0240 - tf_pmse_DA: 178.8863 - tf_pmse_5HT: 172.6253 - tf_pmse_pH: 0.0370 - tf_pmse_NE: 135.9775 - val_loss: 7.0725 - val_tf_pmse_DA: 2613.6450 - val_tf_pmse_5HT: 3156.2343 - val_tf_pmse_pH: 0.7543 - val_tf_pmse_NE: 1968.1031\n",
      "Epoch 32/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0267 - tf_pmse_DA: 194.5028 - tf_pmse_5HT: 171.2680 - tf_pmse_pH: 0.0391 - tf_pmse_NE: 145.6325 - val_loss: 6.2096 - val_tf_pmse_DA: 1681.7605 - val_tf_pmse_5HT: 2520.5598 - val_tf_pmse_pH: 0.9332 - val_tf_pmse_NE: 2117.5002\n",
      "Epoch 33/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.0235 - tf_pmse_DA: 174.3102 - tf_pmse_5HT: 168.1059 - tf_pmse_pH: 0.0371 - tf_pmse_NE: 136.6599 - val_loss: 6.4647 - val_tf_pmse_DA: 1726.2900 - val_tf_pmse_5HT: 2855.7173 - val_tf_pmse_pH: 0.8744 - val_tf_pmse_NE: 2190.9659\n",
      "Epoch 34/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0238 - tf_pmse_DA: 178.4334 - tf_pmse_5HT: 170.1822 - tf_pmse_pH: 0.0363 - tf_pmse_NE: 136.0907 - val_loss: 5.7907 - val_tf_pmse_DA: 1587.3839 - val_tf_pmse_5HT: 2013.5009 - val_tf_pmse_pH: 0.8757 - val_tf_pmse_NE: 2528.9435\n",
      "Epoch 35/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0222 - tf_pmse_DA: 171.9602 - tf_pmse_5HT: 165.0394 - tf_pmse_pH: 0.0350 - tf_pmse_NE: 131.7338 - val_loss: 6.5198 - val_tf_pmse_DA: 1586.1196 - val_tf_pmse_5HT: 2622.6065 - val_tf_pmse_pH: 0.9913 - val_tf_pmse_NE: 2111.0265\n",
      "Epoch 36/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0219 - tf_pmse_DA: 165.5935 - tf_pmse_5HT: 160.1977 - tf_pmse_pH: 0.0365 - tf_pmse_NE: 133.4475 - val_loss: 7.5405 - val_tf_pmse_DA: 1779.6574 - val_tf_pmse_5HT: 2770.0052 - val_tf_pmse_pH: 1.1274 - val_tf_pmse_NE: 2090.1251\n",
      "Epoch 37/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0218 - tf_pmse_DA: 170.2144 - tf_pmse_5HT: 158.8928 - tf_pmse_pH: 0.0363 - tf_pmse_NE: 128.1739 - val_loss: 6.1372 - val_tf_pmse_DA: 2170.7628 - val_tf_pmse_5HT: 2859.9271 - val_tf_pmse_pH: 0.7718 - val_tf_pmse_NE: 1857.1265\n",
      "Epoch 38/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0251 - tf_pmse_DA: 190.4156 - tf_pmse_5HT: 170.7833 - tf_pmse_pH: 0.0385 - tf_pmse_NE: 131.5159 - val_loss: 5.4850 - val_tf_pmse_DA: 1799.6278 - val_tf_pmse_5HT: 2244.8142 - val_tf_pmse_pH: 0.8241 - val_tf_pmse_NE: 2077.0006\n",
      "Epoch 39/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0206 - tf_pmse_DA: 160.7910 - tf_pmse_5HT: 157.7638 - tf_pmse_pH: 0.0366 - tf_pmse_NE: 124.2830 - val_loss: 8.2803 - val_tf_pmse_DA: 1995.6779 - val_tf_pmse_5HT: 2759.4064 - val_tf_pmse_pH: 1.1060 - val_tf_pmse_NE: 2704.6343\n",
      "Epoch 40/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0201 - tf_pmse_DA: 160.2741 - tf_pmse_5HT: 157.1874 - tf_pmse_pH: 0.0345 - tf_pmse_NE: 125.0827 - val_loss: 6.8596 - val_tf_pmse_DA: 2116.7996 - val_tf_pmse_5HT: 2579.4622 - val_tf_pmse_pH: 0.8012 - val_tf_pmse_NE: 2797.3091\n",
      "Epoch 41/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0200 - tf_pmse_DA: 163.9231 - tf_pmse_5HT: 153.7237 - tf_pmse_pH: 0.0350 - tf_pmse_NE: 120.5852 - val_loss: 6.0739 - val_tf_pmse_DA: 1779.6208 - val_tf_pmse_5HT: 2300.6974 - val_tf_pmse_pH: 0.9083 - val_tf_pmse_NE: 2264.2178\n",
      "Epoch 42/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0196 - tf_pmse_DA: 159.0383 - tf_pmse_5HT: 146.6562 - tf_pmse_pH: 0.0375 - tf_pmse_NE: 116.4766 - val_loss: 5.0678 - val_tf_pmse_DA: 1589.1206 - val_tf_pmse_5HT: 2217.2780 - val_tf_pmse_pH: 0.8833 - val_tf_pmse_NE: 1501.7225\n",
      "Epoch 43/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0184 - tf_pmse_DA: 154.3104 - tf_pmse_5HT: 144.0372 - tf_pmse_pH: 0.0349 - tf_pmse_NE: 119.3204 - val_loss: 5.6743 - val_tf_pmse_DA: 1715.4983 - val_tf_pmse_5HT: 2220.5109 - val_tf_pmse_pH: 0.8108 - val_tf_pmse_NE: 2405.7460\n",
      "Epoch 44/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0211 - tf_pmse_DA: 170.0824 - tf_pmse_5HT: 156.9882 - tf_pmse_pH: 0.0361 - tf_pmse_NE: 119.9216 - val_loss: 4.4546 - val_tf_pmse_DA: 1791.3069 - val_tf_pmse_5HT: 2166.1834 - val_tf_pmse_pH: 0.6266 - val_tf_pmse_NE: 1837.2534\n",
      "Epoch 45/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0199 - tf_pmse_DA: 169.0927 - tf_pmse_5HT: 152.9646 - tf_pmse_pH: 0.0339 - tf_pmse_NE: 117.6018 - val_loss: 6.5987 - val_tf_pmse_DA: 1869.3872 - val_tf_pmse_5HT: 2589.8257 - val_tf_pmse_pH: 1.0446 - val_tf_pmse_NE: 1679.3293\n",
      "Epoch 46/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0186 - tf_pmse_DA: 150.6574 - tf_pmse_5HT: 152.2117 - tf_pmse_pH: 0.0333 - tf_pmse_NE: 120.9239 - val_loss: 6.0273 - val_tf_pmse_DA: 1700.8826 - val_tf_pmse_5HT: 2497.5362 - val_tf_pmse_pH: 0.8835 - val_tf_pmse_NE: 2185.7605\n",
      "Epoch 47/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0198 - tf_pmse_DA: 157.7351 - tf_pmse_5HT: 149.5089 - tf_pmse_pH: 0.0376 - tf_pmse_NE: 117.4517 - val_loss: 4.4470 - val_tf_pmse_DA: 1706.5665 - val_tf_pmse_5HT: 1966.1531 - val_tf_pmse_pH: 0.6574 - val_tf_pmse_NE: 2006.1559\n",
      "Epoch 48/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0194 - tf_pmse_DA: 158.6780 - tf_pmse_5HT: 147.3484 - tf_pmse_pH: 0.0346 - tf_pmse_NE: 123.8467 - val_loss: 5.4513 - val_tf_pmse_DA: 2314.7407 - val_tf_pmse_5HT: 2261.6218 - val_tf_pmse_pH: 0.7490 - val_tf_pmse_NE: 1792.0265\n",
      "Epoch 49/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0186 - tf_pmse_DA: 158.2442 - tf_pmse_5HT: 145.3321 - tf_pmse_pH: 0.0342 - tf_pmse_NE: 116.7933 - val_loss: 5.3287 - val_tf_pmse_DA: 1851.6745 - val_tf_pmse_5HT: 2271.1580 - val_tf_pmse_pH: 0.8053 - val_tf_pmse_NE: 1911.8725\n",
      "Epoch 50/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0174 - tf_pmse_DA: 150.8062 - tf_pmse_5HT: 140.6915 - tf_pmse_pH: 0.0319 - tf_pmse_NE: 120.3124 - val_loss: 5.6924 - val_tf_pmse_DA: 1244.5568 - val_tf_pmse_5HT: 2525.7989 - val_tf_pmse_pH: 0.9501 - val_tf_pmse_NE: 1786.0552\n",
      "Epoch 51/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0193 - tf_pmse_DA: 160.9000 - tf_pmse_5HT: 146.1552 - tf_pmse_pH: 0.0325 - tf_pmse_NE: 128.1860 - val_loss: 4.4811 - val_tf_pmse_DA: 1351.5438 - val_tf_pmse_5HT: 2099.5139 - val_tf_pmse_pH: 0.7649 - val_tf_pmse_NE: 1739.9558\n",
      "Epoch 52/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0173 - tf_pmse_DA: 151.7288 - tf_pmse_5HT: 140.1361 - tf_pmse_pH: 0.0313 - tf_pmse_NE: 118.0948 - val_loss: 4.7715 - val_tf_pmse_DA: 1566.1710 - val_tf_pmse_5HT: 1896.6273 - val_tf_pmse_pH: 0.8061 - val_tf_pmse_NE: 1931.4492\n",
      "Epoch 53/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0182 - tf_pmse_DA: 153.4469 - tf_pmse_5HT: 143.4495 - tf_pmse_pH: 0.0347 - tf_pmse_NE: 111.6208 - val_loss: 5.4429 - val_tf_pmse_DA: 1808.5532 - val_tf_pmse_5HT: 2102.3600 - val_tf_pmse_pH: 0.7442 - val_tf_pmse_NE: 2460.1921\n",
      "Epoch 54/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0173 - tf_pmse_DA: 152.2091 - tf_pmse_5HT: 138.6744 - tf_pmse_pH: 0.0323 - tf_pmse_NE: 114.2377 - val_loss: 4.1045 - val_tf_pmse_DA: 1691.4714 - val_tf_pmse_5HT: 1974.3271 - val_tf_pmse_pH: 0.5934 - val_tf_pmse_NE: 1873.2925\n",
      "Epoch 55/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0188 - tf_pmse_DA: 154.0842 - tf_pmse_5HT: 138.8745 - tf_pmse_pH: 0.0345 - tf_pmse_NE: 123.8586 - val_loss: 5.4681 - val_tf_pmse_DA: 1200.1589 - val_tf_pmse_5HT: 2176.8177 - val_tf_pmse_pH: 1.0053 - val_tf_pmse_NE: 1698.5521\n",
      "Epoch 56/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0189 - tf_pmse_DA: 162.0121 - tf_pmse_5HT: 146.0063 - tf_pmse_pH: 0.0346 - tf_pmse_NE: 114.1621 - val_loss: 3.9284 - val_tf_pmse_DA: 1624.5990 - val_tf_pmse_5HT: 1952.1303 - val_tf_pmse_pH: 0.6363 - val_tf_pmse_NE: 1552.3228\n",
      "Epoch 57/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0158 - tf_pmse_DA: 143.5739 - tf_pmse_5HT: 132.4456 - tf_pmse_pH: 0.0313 - tf_pmse_NE: 111.3419 - val_loss: 5.5099 - val_tf_pmse_DA: 1754.9457 - val_tf_pmse_5HT: 2328.1781 - val_tf_pmse_pH: 0.8104 - val_tf_pmse_NE: 2115.1926\n",
      "Epoch 58/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.0180 - tf_pmse_DA: 155.8650 - tf_pmse_5HT: 142.6293 - tf_pmse_pH: 0.0332 - tf_pmse_NE: 113.3308 - val_loss: 5.6392 - val_tf_pmse_DA: 1717.7600 - val_tf_pmse_5HT: 2113.1354 - val_tf_pmse_pH: 0.8433 - val_tf_pmse_NE: 2342.4996\n",
      "Epoch 59/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0157 - tf_pmse_DA: 145.0470 - tf_pmse_5HT: 130.4662 - tf_pmse_pH: 0.0307 - tf_pmse_NE: 108.4903 - val_loss: 4.9802 - val_tf_pmse_DA: 1698.2978 - val_tf_pmse_5HT: 1822.6904 - val_tf_pmse_pH: 0.8409 - val_tf_pmse_NE: 1976.1592\n",
      "Epoch 60/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0159 - tf_pmse_DA: 146.3729 - tf_pmse_5HT: 124.7137 - tf_pmse_pH: 0.0317 - tf_pmse_NE: 112.7413 - val_loss: 4.3326 - val_tf_pmse_DA: 1481.1480 - val_tf_pmse_5HT: 1712.7198 - val_tf_pmse_pH: 0.7391 - val_tf_pmse_NE: 1983.9149\n",
      "Epoch 61/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0171 - tf_pmse_DA: 148.4216 - tf_pmse_5HT: 140.1308 - tf_pmse_pH: 0.0330 - tf_pmse_NE: 110.8362 - val_loss: 4.8269 - val_tf_pmse_DA: 1290.9449 - val_tf_pmse_5HT: 1970.9562 - val_tf_pmse_pH: 0.8596 - val_tf_pmse_NE: 1882.3813\n",
      "Epoch 62/100\n",
      "39600/39600 [==============================] - 37s 926us/step - loss: 0.0160 - tf_pmse_DA: 148.2808 - tf_pmse_5HT: 134.3282 - tf_pmse_pH: 0.0315 - tf_pmse_NE: 105.1358 - val_loss: 3.9125 - val_tf_pmse_DA: 1259.1873 - val_tf_pmse_5HT: 1249.8467 - val_tf_pmse_pH: 0.7411 - val_tf_pmse_NE: 2008.2302\n",
      "Epoch 63/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0182 - tf_pmse_DA: 153.1248 - tf_pmse_5HT: 141.9179 - tf_pmse_pH: 0.0335 - tf_pmse_NE: 115.4919 - val_loss: 5.5854 - val_tf_pmse_DA: 1439.8370 - val_tf_pmse_5HT: 2321.1294 - val_tf_pmse_pH: 0.8694 - val_tf_pmse_NE: 2189.5674\n",
      "Epoch 64/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0147 - tf_pmse_DA: 136.1412 - tf_pmse_5HT: 129.6217 - tf_pmse_pH: 0.0317 - tf_pmse_NE: 101.1220 - val_loss: 5.3599 - val_tf_pmse_DA: 1519.6319 - val_tf_pmse_5HT: 2055.0548 - val_tf_pmse_pH: 0.9238 - val_tf_pmse_NE: 1921.5825\n",
      "Epoch 65/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0150 - tf_pmse_DA: 141.3445 - tf_pmse_5HT: 132.3229 - tf_pmse_pH: 0.0298 - tf_pmse_NE: 101.7592 - val_loss: 5.0679 - val_tf_pmse_DA: 1646.3515 - val_tf_pmse_5HT: 1572.4836 - val_tf_pmse_pH: 0.8569 - val_tf_pmse_NE: 2237.9748\n",
      "Epoch 66/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0145 - tf_pmse_DA: 131.4191 - tf_pmse_5HT: 127.6524 - tf_pmse_pH: 0.0335 - tf_pmse_NE: 98.4992 - val_loss: 4.4155 - val_tf_pmse_DA: 997.7322 - val_tf_pmse_5HT: 2055.0373 - val_tf_pmse_pH: 0.7696 - val_tf_pmse_NE: 1964.6536\n",
      "Epoch 67/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0157 - tf_pmse_DA: 143.9163 - tf_pmse_5HT: 135.0084 - tf_pmse_pH: 0.0307 - tf_pmse_NE: 104.6036 - val_loss: 5.7847 - val_tf_pmse_DA: 1663.2604 - val_tf_pmse_5HT: 2140.9475 - val_tf_pmse_pH: 0.9028 - val_tf_pmse_NE: 2245.3267\n",
      "Epoch 68/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0153 - tf_pmse_DA: 142.0335 - tf_pmse_5HT: 128.6704 - tf_pmse_pH: 0.0303 - tf_pmse_NE: 109.0134 - val_loss: 4.7179 - val_tf_pmse_DA: 1514.3970 - val_tf_pmse_5HT: 1941.0699 - val_tf_pmse_pH: 0.8189 - val_tf_pmse_NE: 1815.7743\n",
      "Epoch 69/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0147 - tf_pmse_DA: 135.8323 - tf_pmse_5HT: 125.5115 - tf_pmse_pH: 0.0308 - tf_pmse_NE: 104.8959 - val_loss: 4.2542 - val_tf_pmse_DA: 1363.4115 - val_tf_pmse_5HT: 1881.3979 - val_tf_pmse_pH: 0.6583 - val_tf_pmse_NE: 2125.4637\n",
      "Epoch 70/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0154 - tf_pmse_DA: 144.1215 - tf_pmse_5HT: 129.3522 - tf_pmse_pH: 0.0310 - tf_pmse_NE: 106.1109 - val_loss: 4.4341 - val_tf_pmse_DA: 1332.7130 - val_tf_pmse_5HT: 1914.2474 - val_tf_pmse_pH: 0.7593 - val_tf_pmse_NE: 1930.4257\n",
      "Epoch 71/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0164 - tf_pmse_DA: 141.6480 - tf_pmse_5HT: 137.1702 - tf_pmse_pH: 0.0337 - tf_pmse_NE: 109.3160 - val_loss: 4.6959 - val_tf_pmse_DA: 1693.2710 - val_tf_pmse_5HT: 1537.8161 - val_tf_pmse_pH: 0.7796 - val_tf_pmse_NE: 2163.3226\n",
      "Epoch 72/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0148 - tf_pmse_DA: 135.5258 - tf_pmse_5HT: 132.5070 - tf_pmse_pH: 0.0316 - tf_pmse_NE: 96.1025 - val_loss: 5.3222 - val_tf_pmse_DA: 1810.4334 - val_tf_pmse_5HT: 1830.4632 - val_tf_pmse_pH: 0.8436 - val_tf_pmse_NE: 2213.2027\n",
      "Epoch 73/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0154 - tf_pmse_DA: 145.3267 - tf_pmse_5HT: 130.8590 - tf_pmse_pH: 0.0302 - tf_pmse_NE: 105.8703 - val_loss: 4.2511 - val_tf_pmse_DA: 1554.4678 - val_tf_pmse_5HT: 1761.5897 - val_tf_pmse_pH: 0.6970 - val_tf_pmse_NE: 1947.2136\n",
      "Epoch 74/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0146 - tf_pmse_DA: 138.0016 - tf_pmse_5HT: 129.0970 - tf_pmse_pH: 0.0306 - tf_pmse_NE: 101.8724 - val_loss: 3.5244 - val_tf_pmse_DA: 1408.7154 - val_tf_pmse_5HT: 1777.1518 - val_tf_pmse_pH: 0.6142 - val_tf_pmse_NE: 1500.7948\n",
      "Epoch 75/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0144 - tf_pmse_DA: 137.3152 - tf_pmse_5HT: 124.3480 - tf_pmse_pH: 0.0311 - tf_pmse_NE: 101.5581 - val_loss: 4.8155 - val_tf_pmse_DA: 1422.3653 - val_tf_pmse_5HT: 1959.9843 - val_tf_pmse_pH: 0.7529 - val_tf_pmse_NE: 2238.5154\n",
      "Epoch 76/100\n",
      "39600/39600 [==============================] - 36s 921us/step - loss: 0.0134 - tf_pmse_DA: 131.4091 - tf_pmse_5HT: 122.6655 - tf_pmse_pH: 0.0291 - tf_pmse_NE: 95.5118 - val_loss: 4.1581 - val_tf_pmse_DA: 1274.5767 - val_tf_pmse_5HT: 1901.4522 - val_tf_pmse_pH: 0.6903 - val_tf_pmse_NE: 1949.9832\n",
      "Epoch 77/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0154 - tf_pmse_DA: 139.7159 - tf_pmse_5HT: 132.4214 - tf_pmse_pH: 0.0303 - tf_pmse_NE: 107.4722 - val_loss: 4.2798 - val_tf_pmse_DA: 1562.3833 - val_tf_pmse_5HT: 1670.6555 - val_tf_pmse_pH: 0.7021 - val_tf_pmse_NE: 2039.5493\n",
      "Epoch 78/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0138 - tf_pmse_DA: 133.8485 - tf_pmse_5HT: 118.7045 - tf_pmse_pH: 0.0304 - tf_pmse_NE: 100.6083 - val_loss: 4.0920 - val_tf_pmse_DA: 1373.7440 - val_tf_pmse_5HT: 1749.2152 - val_tf_pmse_pH: 0.7202 - val_tf_pmse_NE: 1819.8412\n",
      "Epoch 79/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0139 - tf_pmse_DA: 130.0998 - tf_pmse_5HT: 123.2983 - tf_pmse_pH: 0.0309 - tf_pmse_NE: 102.4738 - val_loss: 4.5373 - val_tf_pmse_DA: 978.7463 - val_tf_pmse_5HT: 1717.9353 - val_tf_pmse_pH: 0.9067 - val_tf_pmse_NE: 1798.8102\n",
      "Epoch 80/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0135 - tf_pmse_DA: 131.1203 - tf_pmse_5HT: 123.4966 - tf_pmse_pH: 0.0298 - tf_pmse_NE: 94.9782 - val_loss: 3.8714 - val_tf_pmse_DA: 1131.0645 - val_tf_pmse_5HT: 1693.0417 - val_tf_pmse_pH: 0.6841 - val_tf_pmse_NE: 1940.2030\n",
      "Epoch 81/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0151 - tf_pmse_DA: 137.7650 - tf_pmse_5HT: 133.3575 - tf_pmse_pH: 0.0302 - tf_pmse_NE: 103.8137 - val_loss: 4.8851 - val_tf_pmse_DA: 1042.6011 - val_tf_pmse_5HT: 1517.9229 - val_tf_pmse_pH: 0.9899 - val_tf_pmse_NE: 1885.5097\n",
      "Epoch 82/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0147 - tf_pmse_DA: 139.3540 - tf_pmse_5HT: 131.1588 - tf_pmse_pH: 0.0306 - tf_pmse_NE: 98.0539 - val_loss: 4.8983 - val_tf_pmse_DA: 1226.3916 - val_tf_pmse_5HT: 1713.2413 - val_tf_pmse_pH: 0.8341 - val_tf_pmse_NE: 2333.8156\n",
      "Epoch 83/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0127 - tf_pmse_DA: 130.1482 - tf_pmse_5HT: 119.7236 - tf_pmse_pH: 0.0266 - tf_pmse_NE: 97.6933 - val_loss: 3.8776 - val_tf_pmse_DA: 979.0739 - val_tf_pmse_5HT: 1723.6286 - val_tf_pmse_pH: 0.7325 - val_tf_pmse_NE: 1851.1530\n",
      "Epoch 84/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0138 - tf_pmse_DA: 133.5174 - tf_pmse_5HT: 130.4465 - tf_pmse_pH: 0.0293 - tf_pmse_NE: 93.8938 - val_loss: 2.4434 - val_tf_pmse_DA: 1210.7041 - val_tf_pmse_5HT: 1000.2671 - val_tf_pmse_pH: 0.4205 - val_tf_pmse_NE: 1673.2035\n",
      "Epoch 85/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0130 - tf_pmse_DA: 127.9610 - tf_pmse_5HT: 118.2106 - tf_pmse_pH: 0.0293 - tf_pmse_NE: 98.4286 - val_loss: 4.4515 - val_tf_pmse_DA: 1074.5214 - val_tf_pmse_5HT: 1651.0210 - val_tf_pmse_pH: 0.8646 - val_tf_pmse_NE: 1905.9894\n",
      "Epoch 86/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0127 - tf_pmse_DA: 128.8637 - tf_pmse_5HT: 121.1801 - tf_pmse_pH: 0.0287 - tf_pmse_NE: 90.0446 - val_loss: 3.9500 - val_tf_pmse_DA: 1420.4568 - val_tf_pmse_5HT: 1590.6655 - val_tf_pmse_pH: 0.7199 - val_tf_pmse_NE: 1777.0045\n",
      "Epoch 87/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0132 - tf_pmse_DA: 130.3396 - tf_pmse_5HT: 119.1200 - tf_pmse_pH: 0.0303 - tf_pmse_NE: 92.6330 - val_loss: 3.2832 - val_tf_pmse_DA: 993.8367 - val_tf_pmse_5HT: 1571.2220 - val_tf_pmse_pH: 0.6352 - val_tf_pmse_NE: 1655.7792\n",
      "Epoch 88/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0126 - tf_pmse_DA: 121.9087 - tf_pmse_5HT: 119.6477 - tf_pmse_pH: 0.0296 - tf_pmse_NE: 93.5919 - val_loss: 3.6624 - val_tf_pmse_DA: 1250.1661 - val_tf_pmse_5HT: 1568.9904 - val_tf_pmse_pH: 0.6697 - val_tf_pmse_NE: 1787.4112\n",
      "Epoch 89/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0139 - tf_pmse_DA: 136.3370 - tf_pmse_5HT: 128.2407 - tf_pmse_pH: 0.0297 - tf_pmse_NE: 95.0964 - val_loss: 4.1684 - val_tf_pmse_DA: 1186.7037 - val_tf_pmse_5HT: 1661.7035 - val_tf_pmse_pH: 0.8066 - val_tf_pmse_NE: 1752.5806\n",
      "Epoch 90/100\n",
      "39600/39600 [==============================] - 37s 926us/step - loss: 0.0135 - tf_pmse_DA: 131.0761 - tf_pmse_5HT: 124.6949 - tf_pmse_pH: 0.0298 - tf_pmse_NE: 95.4534 - val_loss: 3.7030 - val_tf_pmse_DA: 1687.2211 - val_tf_pmse_5HT: 1685.4057 - val_tf_pmse_pH: 0.6136 - val_tf_pmse_NE: 1578.3776\n",
      "Epoch 91/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0116 - tf_pmse_DA: 119.7013 - tf_pmse_5HT: 115.9492 - tf_pmse_pH: 0.0284 - tf_pmse_NE: 86.1966 - val_loss: 3.2505 - val_tf_pmse_DA: 970.8933 - val_tf_pmse_5HT: 1769.2512 - val_tf_pmse_pH: 0.5752 - val_tf_pmse_NE: 1701.7219\n",
      "Epoch 92/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0132 - tf_pmse_DA: 129.3570 - tf_pmse_5HT: 124.7623 - tf_pmse_pH: 0.0289 - tf_pmse_NE: 94.2123 - val_loss: 3.0448 - val_tf_pmse_DA: 1169.7795 - val_tf_pmse_5HT: 1599.3536 - val_tf_pmse_pH: 0.5304 - val_tf_pmse_NE: 1614.6738\n",
      "Epoch 93/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0122 - tf_pmse_DA: 125.7768 - tf_pmse_5HT: 114.0121 - tf_pmse_pH: 0.0296 - tf_pmse_NE: 90.2164 - val_loss: 3.6052 - val_tf_pmse_DA: 1273.1531 - val_tf_pmse_5HT: 1650.6819 - val_tf_pmse_pH: 0.6248 - val_tf_pmse_NE: 1806.5254\n",
      "Epoch 94/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0126 - tf_pmse_DA: 128.0648 - tf_pmse_5HT: 119.6444 - tf_pmse_pH: 0.0270 - tf_pmse_NE: 95.5902 - val_loss: 3.3696 - val_tf_pmse_DA: 1167.0487 - val_tf_pmse_5HT: 1425.9990 - val_tf_pmse_pH: 0.6913 - val_tf_pmse_NE: 1492.3253\n",
      "Epoch 95/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0110 - tf_pmse_DA: 121.1972 - tf_pmse_5HT: 107.5088 - tf_pmse_pH: 0.0268 - tf_pmse_NE: 86.8881 - val_loss: 3.3730 - val_tf_pmse_DA: 1169.3497 - val_tf_pmse_5HT: 1547.0857 - val_tf_pmse_pH: 0.6482 - val_tf_pmse_NE: 1579.2661\n",
      "Epoch 96/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0134 - tf_pmse_DA: 134.6304 - tf_pmse_5HT: 119.5285 - tf_pmse_pH: 0.0299 - tf_pmse_NE: 95.6888 - val_loss: 3.3318 - val_tf_pmse_DA: 1085.0772 - val_tf_pmse_5HT: 1319.5524 - val_tf_pmse_pH: 0.6817 - val_tf_pmse_NE: 1645.6399\n",
      "Epoch 97/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0112 - tf_pmse_DA: 118.8566 - tf_pmse_5HT: 112.0858 - tf_pmse_pH: 0.0265 - tf_pmse_NE: 90.2113 - val_loss: 3.4866 - val_tf_pmse_DA: 1108.5846 - val_tf_pmse_5HT: 1472.0317 - val_tf_pmse_pH: 0.7055 - val_tf_pmse_NE: 1595.8042\n",
      "Epoch 98/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0117 - tf_pmse_DA: 121.0888 - tf_pmse_5HT: 112.5560 - tf_pmse_pH: 0.0271 - tf_pmse_NE: 94.4059 - val_loss: 3.5262 - val_tf_pmse_DA: 984.4696 - val_tf_pmse_5HT: 1443.0639 - val_tf_pmse_pH: 0.6446 - val_tf_pmse_NE: 2022.8908\n",
      "Epoch 99/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0127 - tf_pmse_DA: 123.7825 - tf_pmse_5HT: 119.2333 - tf_pmse_pH: 0.0296 - tf_pmse_NE: 95.4602 - val_loss: 3.8908 - val_tf_pmse_DA: 962.2840 - val_tf_pmse_5HT: 1683.9137 - val_tf_pmse_pH: 0.7530 - val_tf_pmse_NE: 1822.3202\n",
      "Epoch 100/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0124 - tf_pmse_DA: 125.9074 - tf_pmse_5HT: 119.1287 - tf_pmse_pH: 0.0277 - tf_pmse_NE: 95.3857 - val_loss: 3.3358 - val_tf_pmse_DA: 968.5843 - val_tf_pmse_5HT: 1254.4187 - val_tf_pmse_pH: 0.7064 - val_tf_pmse_NE: 1706.6313\n",
      "predicting test set... done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rmse_DA</th>\n",
       "      <th>rmse_5HT</th>\n",
       "      <th>rmse_pH</th>\n",
       "      <th>rmse_NE</th>\n",
       "      <th>duration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1526.84529</td>\n",
       "      <td>1840.709853</td>\n",
       "      <td>0.710929</td>\n",
       "      <td>1870.820653</td>\n",
       "      <td>3707.307184</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
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      "text/plain": [
       "<IPython.core.display.HTML object>"
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     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "probe MMA013W01R04 (2 out of 7)\n",
      "loading previous weights...\n",
      "mini batch size: 128\n",
      "Train on 39600 samples, validate on 39600 samples\n",
      "Epoch 1/100\n",
      "39600/39600 [==============================] - 44s 1ms/step - loss: 10.5874 - tf_pmse_DA: 1861.7196 - tf_pmse_5HT: 2163.0486 - tf_pmse_pH: 0.6862 - tf_pmse_NE: 2175.0361 - val_loss: 2.9312 - val_tf_pmse_DA: 864.8962 - val_tf_pmse_5HT: 874.5574 - val_tf_pmse_pH: 0.8493 - val_tf_pmse_NE: 862.6086\n",
      "Epoch 2/100\n",
      "39600/39600 [==============================] - 38s 953us/step - loss: 0.3518 - tf_pmse_DA: 679.9763 - tf_pmse_5HT: 668.5079 - tf_pmse_pH: 0.1036 - tf_pmse_NE: 691.1841 - val_loss: 2.3809 - val_tf_pmse_DA: 1469.2769 - val_tf_pmse_5HT: 1059.3702 - val_tf_pmse_pH: 0.2807 - val_tf_pmse_NE: 1646.7005\n",
      "Epoch 3/100\n",
      "39600/39600 [==============================] - 37s 941us/step - loss: 0.2003 - tf_pmse_DA: 540.2955 - tf_pmse_5HT: 488.8423 - tf_pmse_pH: 0.0823 - tf_pmse_NE: 497.4655 - val_loss: 5.6662 - val_tf_pmse_DA: 2875.5683 - val_tf_pmse_5HT: 835.6804 - val_tf_pmse_pH: 0.6890 - val_tf_pmse_NE: 2678.0814\n",
      "Epoch 4/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.1376 - tf_pmse_DA: 467.2613 - tf_pmse_5HT: 407.1128 - tf_pmse_pH: 0.0696 - tf_pmse_NE: 384.0041 - val_loss: 6.5261 - val_tf_pmse_DA: 3343.3596 - val_tf_pmse_5HT: 860.4892 - val_tf_pmse_pH: 0.7583 - val_tf_pmse_NE: 2570.1515\n",
      "Epoch 5/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.1135 - tf_pmse_DA: 423.6674 - tf_pmse_5HT: 371.6577 - tf_pmse_pH: 0.0624 - tf_pmse_NE: 347.2200 - val_loss: 3.8826 - val_tf_pmse_DA: 2119.7202 - val_tf_pmse_5HT: 1242.8947 - val_tf_pmse_pH: 0.5711 - val_tf_pmse_NE: 2027.6489\n",
      "Epoch 6/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.1026 - tf_pmse_DA: 403.9882 - tf_pmse_5HT: 354.1565 - tf_pmse_pH: 0.0593 - tf_pmse_NE: 327.1278 - val_loss: 2.6523 - val_tf_pmse_DA: 1498.9824 - val_tf_pmse_5HT: 990.6162 - val_tf_pmse_pH: 0.4272 - val_tf_pmse_NE: 1650.2740\n",
      "Epoch 7/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0947 - tf_pmse_DA: 389.2860 - tf_pmse_5HT: 340.9159 - tf_pmse_pH: 0.0565 - tf_pmse_NE: 310.9924 - val_loss: 4.1342 - val_tf_pmse_DA: 2386.2518 - val_tf_pmse_5HT: 823.6534 - val_tf_pmse_pH: 0.6908 - val_tf_pmse_NE: 1718.0229\n",
      "Epoch 8/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0895 - tf_pmse_DA: 381.8741 - tf_pmse_5HT: 331.9009 - tf_pmse_pH: 0.0550 - tf_pmse_NE: 296.1800 - val_loss: 3.4638 - val_tf_pmse_DA: 2122.0291 - val_tf_pmse_5HT: 861.7491 - val_tf_pmse_pH: 0.5029 - val_tf_pmse_NE: 1892.3258\n",
      "Epoch 9/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0833 - tf_pmse_DA: 364.5603 - tf_pmse_5HT: 323.3079 - tf_pmse_pH: 0.0536 - tf_pmse_NE: 283.1869 - val_loss: 2.4886 - val_tf_pmse_DA: 947.3547 - val_tf_pmse_5HT: 1476.3408 - val_tf_pmse_pH: 0.6334 - val_tf_pmse_NE: 916.0500\n",
      "Epoch 10/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0794 - tf_pmse_DA: 358.1943 - tf_pmse_5HT: 317.7159 - tf_pmse_pH: 0.0524 - tf_pmse_NE: 272.0764 - val_loss: 2.1548 - val_tf_pmse_DA: 1225.6657 - val_tf_pmse_5HT: 821.0958 - val_tf_pmse_pH: 0.5084 - val_tf_pmse_NE: 1154.0153\n",
      "Epoch 11/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0735 - tf_pmse_DA: 341.6137 - tf_pmse_5HT: 307.3461 - tf_pmse_pH: 0.0505 - tf_pmse_NE: 259.2176 - val_loss: 3.0601 - val_tf_pmse_DA: 1436.0767 - val_tf_pmse_5HT: 1075.8088 - val_tf_pmse_pH: 0.5942 - val_tf_pmse_NE: 1556.3825\n",
      "Epoch 12/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.0711 - tf_pmse_DA: 337.6537 - tf_pmse_5HT: 303.8713 - tf_pmse_pH: 0.0490 - tf_pmse_NE: 252.7202 - val_loss: 3.9505 - val_tf_pmse_DA: 1642.3174 - val_tf_pmse_5HT: 1028.5581 - val_tf_pmse_pH: 0.8218 - val_tf_pmse_NE: 1513.8812\n",
      "Epoch 13/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0689 - tf_pmse_DA: 332.9013 - tf_pmse_5HT: 297.6736 - tf_pmse_pH: 0.0485 - tf_pmse_NE: 246.7940 - val_loss: 2.8168 - val_tf_pmse_DA: 1507.6134 - val_tf_pmse_5HT: 816.6553 - val_tf_pmse_pH: 0.6542 - val_tf_pmse_NE: 1202.0122\n",
      "Epoch 14/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0660 - tf_pmse_DA: 323.4384 - tf_pmse_5HT: 295.3172 - tf_pmse_pH: 0.0489 - tf_pmse_NE: 236.3197 - val_loss: 2.7840 - val_tf_pmse_DA: 1508.0518 - val_tf_pmse_5HT: 814.7301 - val_tf_pmse_pH: 0.6254 - val_tf_pmse_NE: 1244.9474\n",
      "Epoch 15/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0648 - tf_pmse_DA: 321.3497 - tf_pmse_5HT: 285.4787 - tf_pmse_pH: 0.0477 - tf_pmse_NE: 240.9409 - val_loss: 4.2965 - val_tf_pmse_DA: 1822.0855 - val_tf_pmse_5HT: 1261.5988 - val_tf_pmse_pH: 0.7343 - val_tf_pmse_NE: 2015.0827\n",
      "Epoch 16/100\n",
      "39600/39600 [==============================] - 37s 944us/step - loss: 0.0635 - tf_pmse_DA: 317.6678 - tf_pmse_5HT: 287.1689 - tf_pmse_pH: 0.0479 - tf_pmse_NE: 232.8442 - val_loss: 1.6754 - val_tf_pmse_DA: 983.5516 - val_tf_pmse_5HT: 861.1912 - val_tf_pmse_pH: 0.3863 - val_tf_pmse_NE: 1172.5986\n",
      "Epoch 17/100\n",
      "39600/39600 [==============================] - 37s 938us/step - loss: 0.0599 - tf_pmse_DA: 313.8054 - tf_pmse_5HT: 274.6578 - tf_pmse_pH: 0.0450 - tf_pmse_NE: 224.9371 - val_loss: 4.5155 - val_tf_pmse_DA: 2931.5314 - val_tf_pmse_5HT: 864.3877 - val_tf_pmse_pH: 0.7093 - val_tf_pmse_NE: 1144.7248\n",
      "Epoch 18/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0599 - tf_pmse_DA: 309.6157 - tf_pmse_5HT: 280.0556 - tf_pmse_pH: 0.0457 - tf_pmse_NE: 222.3619 - val_loss: 3.3320 - val_tf_pmse_DA: 1712.5808 - val_tf_pmse_5HT: 1699.8680 - val_tf_pmse_pH: 0.4934 - val_tf_pmse_NE: 1456.5897\n",
      "Epoch 19/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0559 - tf_pmse_DA: 295.5109 - tf_pmse_5HT: 272.1701 - tf_pmse_pH: 0.0446 - tf_pmse_NE: 213.2058 - val_loss: 1.5055 - val_tf_pmse_DA: 925.9837 - val_tf_pmse_5HT: 958.2824 - val_tf_pmse_pH: 0.3799 - val_tf_pmse_NE: 899.2117\n",
      "Epoch 20/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0578 - tf_pmse_DA: 301.0770 - tf_pmse_5HT: 274.8335 - tf_pmse_pH: 0.0466 - tf_pmse_NE: 217.3401 - val_loss: 4.5269 - val_tf_pmse_DA: 1998.3904 - val_tf_pmse_5HT: 1663.4157 - val_tf_pmse_pH: 0.7849 - val_tf_pmse_NE: 1552.0963\n",
      "Epoch 21/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0593 - tf_pmse_DA: 303.0211 - tf_pmse_5HT: 275.3573 - tf_pmse_pH: 0.0461 - tf_pmse_NE: 227.0705 - val_loss: 3.9091 - val_tf_pmse_DA: 1651.6097 - val_tf_pmse_5HT: 1152.0273 - val_tf_pmse_pH: 0.7995 - val_tf_pmse_NE: 1468.4362\n",
      "Epoch 22/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0555 - tf_pmse_DA: 302.7216 - tf_pmse_5HT: 267.3808 - tf_pmse_pH: 0.0433 - tf_pmse_NE: 209.7179 - val_loss: 2.0178 - val_tf_pmse_DA: 1264.7104 - val_tf_pmse_5HT: 905.2473 - val_tf_pmse_pH: 0.4775 - val_tf_pmse_NE: 886.9857\n",
      "Epoch 23/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0569 - tf_pmse_DA: 295.9578 - tf_pmse_5HT: 272.8372 - tf_pmse_pH: 0.0445 - tf_pmse_NE: 219.6342 - val_loss: 2.5326 - val_tf_pmse_DA: 1094.7435 - val_tf_pmse_5HT: 1134.1872 - val_tf_pmse_pH: 0.6364 - val_tf_pmse_NE: 921.3687\n",
      "Epoch 24/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0503 - tf_pmse_DA: 287.3952 - tf_pmse_5HT: 259.5186 - tf_pmse_pH: 0.0408 - tf_pmse_NE: 194.3281 - val_loss: 3.0089 - val_tf_pmse_DA: 1382.3612 - val_tf_pmse_5HT: 1277.9216 - val_tf_pmse_pH: 0.6707 - val_tf_pmse_NE: 998.3115\n",
      "Epoch 25/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0521 - tf_pmse_DA: 284.8072 - tf_pmse_5HT: 261.3233 - tf_pmse_pH: 0.0449 - tf_pmse_NE: 201.2492 - val_loss: 3.8308 - val_tf_pmse_DA: 2046.0694 - val_tf_pmse_5HT: 1813.6012 - val_tf_pmse_pH: 0.6279 - val_tf_pmse_NE: 1065.4155\n",
      "Epoch 26/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0517 - tf_pmse_DA: 287.3080 - tf_pmse_5HT: 263.6122 - tf_pmse_pH: 0.0429 - tf_pmse_NE: 195.5216 - val_loss: 3.0865 - val_tf_pmse_DA: 1418.5642 - val_tf_pmse_5HT: 1577.6638 - val_tf_pmse_pH: 0.6590 - val_tf_pmse_NE: 898.4090\n",
      "Epoch 27/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0530 - tf_pmse_DA: 290.1697 - tf_pmse_5HT: 264.7080 - tf_pmse_pH: 0.0432 - tf_pmse_NE: 204.5049 - val_loss: 2.5021 - val_tf_pmse_DA: 941.3613 - val_tf_pmse_5HT: 1250.9292 - val_tf_pmse_pH: 0.6141 - val_tf_pmse_NE: 1012.3888\n",
      "Epoch 28/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0500 - tf_pmse_DA: 279.7325 - tf_pmse_5HT: 256.1531 - tf_pmse_pH: 0.0417 - tf_pmse_NE: 198.8864 - val_loss: 3.2964 - val_tf_pmse_DA: 1904.4565 - val_tf_pmse_5HT: 1391.3502 - val_tf_pmse_pH: 0.6489 - val_tf_pmse_NE: 884.6894\n",
      "Epoch 29/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0515 - tf_pmse_DA: 280.8159 - tf_pmse_5HT: 263.5915 - tf_pmse_pH: 0.0424 - tf_pmse_NE: 200.4258 - val_loss: 1.9859 - val_tf_pmse_DA: 946.5914 - val_tf_pmse_5HT: 848.2733 - val_tf_pmse_pH: 0.6173 - val_tf_pmse_NE: 899.6995\n",
      "Epoch 30/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0475 - tf_pmse_DA: 274.3790 - tf_pmse_5HT: 251.8712 - tf_pmse_pH: 0.0402 - tf_pmse_NE: 190.3920 - val_loss: 4.0229 - val_tf_pmse_DA: 1996.7087 - val_tf_pmse_5HT: 1076.4831 - val_tf_pmse_pH: 0.7111 - val_tf_pmse_NE: 1769.6987\n",
      "Epoch 31/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0493 - tf_pmse_DA: 279.9530 - tf_pmse_5HT: 253.8652 - tf_pmse_pH: 0.0428 - tf_pmse_NE: 191.5459 - val_loss: 2.1983 - val_tf_pmse_DA: 1297.9243 - val_tf_pmse_5HT: 842.1234 - val_tf_pmse_pH: 0.5683 - val_tf_pmse_NE: 911.3781\n",
      "Epoch 32/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0498 - tf_pmse_DA: 281.8017 - tf_pmse_5HT: 258.4605 - tf_pmse_pH: 0.0415 - tf_pmse_NE: 191.7674 - val_loss: 3.3807 - val_tf_pmse_DA: 1932.4534 - val_tf_pmse_5HT: 1015.3791 - val_tf_pmse_pH: 0.7195 - val_tf_pmse_NE: 928.4134\n",
      "Epoch 33/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0482 - tf_pmse_DA: 277.8963 - tf_pmse_5HT: 249.5783 - tf_pmse_pH: 0.0429 - tf_pmse_NE: 188.0063 - val_loss: 3.3702 - val_tf_pmse_DA: 1348.5740 - val_tf_pmse_5HT: 1688.3000 - val_tf_pmse_pH: 0.6498 - val_tf_pmse_NE: 1241.1081\n",
      "Epoch 34/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0486 - tf_pmse_DA: 275.8233 - tf_pmse_5HT: 250.5671 - tf_pmse_pH: 0.0435 - tf_pmse_NE: 188.9840 - val_loss: 3.1398 - val_tf_pmse_DA: 1087.5061 - val_tf_pmse_5HT: 1675.6032 - val_tf_pmse_pH: 0.5906 - val_tf_pmse_NE: 1470.8653\n",
      "Epoch 35/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0428 - tf_pmse_DA: 260.4438 - tf_pmse_5HT: 240.6602 - tf_pmse_pH: 0.0377 - tf_pmse_NE: 177.7715 - val_loss: 2.4554 - val_tf_pmse_DA: 877.3936 - val_tf_pmse_5HT: 994.0028 - val_tf_pmse_pH: 0.6580 - val_tf_pmse_NE: 1034.8721\n",
      "Epoch 36/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0480 - tf_pmse_DA: 274.4870 - tf_pmse_5HT: 254.3038 - tf_pmse_pH: 0.0414 - tf_pmse_NE: 188.2810 - val_loss: 3.2618 - val_tf_pmse_DA: 1816.4864 - val_tf_pmse_5HT: 1060.6447 - val_tf_pmse_pH: 0.7331 - val_tf_pmse_NE: 854.6702\n",
      "Epoch 37/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0463 - tf_pmse_DA: 271.2184 - tf_pmse_5HT: 247.1456 - tf_pmse_pH: 0.0412 - tf_pmse_NE: 184.7625 - val_loss: 2.1129 - val_tf_pmse_DA: 949.8367 - val_tf_pmse_5HT: 830.1824 - val_tf_pmse_pH: 0.6325 - val_tf_pmse_NE: 894.9581\n",
      "Epoch 38/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0440 - tf_pmse_DA: 265.0562 - tf_pmse_5HT: 244.5074 - tf_pmse_pH: 0.0376 - tf_pmse_NE: 181.9992 - val_loss: 3.9713 - val_tf_pmse_DA: 2159.3243 - val_tf_pmse_5HT: 1400.7946 - val_tf_pmse_pH: 0.7297 - val_tf_pmse_NE: 1046.9901\n",
      "Epoch 39/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0428 - tf_pmse_DA: 262.8956 - tf_pmse_5HT: 238.2496 - tf_pmse_pH: 0.0383 - tf_pmse_NE: 175.5843 - val_loss: 2.0149 - val_tf_pmse_DA: 915.0998 - val_tf_pmse_5HT: 1067.1907 - val_tf_pmse_pH: 0.5498 - val_tf_pmse_NE: 930.5680\n",
      "Epoch 40/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0433 - tf_pmse_DA: 261.9116 - tf_pmse_5HT: 240.4258 - tf_pmse_pH: 0.0374 - tf_pmse_NE: 178.9500 - val_loss: 3.3994 - val_tf_pmse_DA: 1523.2215 - val_tf_pmse_5HT: 1391.6875 - val_tf_pmse_pH: 0.7105 - val_tf_pmse_NE: 1127.8907\n",
      "Epoch 41/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0423 - tf_pmse_DA: 261.0996 - tf_pmse_5HT: 239.3738 - tf_pmse_pH: 0.0385 - tf_pmse_NE: 169.9153 - val_loss: 2.3623 - val_tf_pmse_DA: 1410.2161 - val_tf_pmse_5HT: 1192.0384 - val_tf_pmse_pH: 0.4971 - val_tf_pmse_NE: 913.9631\n",
      "Epoch 42/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0453 - tf_pmse_DA: 274.2438 - tf_pmse_5HT: 245.8036 - tf_pmse_pH: 0.0382 - tf_pmse_NE: 179.1947 - val_loss: 2.1467 - val_tf_pmse_DA: 973.7952 - val_tf_pmse_5HT: 857.1163 - val_tf_pmse_pH: 0.6078 - val_tf_pmse_NE: 898.2515\n",
      "Epoch 43/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0419 - tf_pmse_DA: 257.4852 - tf_pmse_5HT: 236.1559 - tf_pmse_pH: 0.0383 - tf_pmse_NE: 172.8840 - val_loss: 2.7839 - val_tf_pmse_DA: 1197.8848 - val_tf_pmse_5HT: 1293.4219 - val_tf_pmse_pH: 0.6469 - val_tf_pmse_NE: 982.5406\n",
      "Epoch 44/100\n",
      "39600/39600 [==============================] - 37s 926us/step - loss: 0.0446 - tf_pmse_DA: 266.1629 - tf_pmse_5HT: 240.8144 - tf_pmse_pH: 0.0380 - tf_pmse_NE: 183.4561 - val_loss: 4.2108 - val_tf_pmse_DA: 2240.2793 - val_tf_pmse_5HT: 1507.2693 - val_tf_pmse_pH: 0.7557 - val_tf_pmse_NE: 1025.9730\n",
      "Epoch 45/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0426 - tf_pmse_DA: 264.1297 - tf_pmse_5HT: 241.6668 - tf_pmse_pH: 0.0378 - tf_pmse_NE: 166.2682 - val_loss: 2.8007 - val_tf_pmse_DA: 1181.0747 - val_tf_pmse_5HT: 1365.9138 - val_tf_pmse_pH: 0.6536 - val_tf_pmse_NE: 914.6679\n",
      "Epoch 46/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0406 - tf_pmse_DA: 253.5139 - tf_pmse_5HT: 236.4314 - tf_pmse_pH: 0.0364 - tf_pmse_NE: 169.2732 - val_loss: 2.3094 - val_tf_pmse_DA: 1030.0886 - val_tf_pmse_5HT: 1232.9932 - val_tf_pmse_pH: 0.5336 - val_tf_pmse_NE: 999.9188\n",
      "Epoch 47/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0426 - tf_pmse_DA: 256.8308 - tf_pmse_5HT: 238.9727 - tf_pmse_pH: 0.0403 - tf_pmse_NE: 172.8480 - val_loss: 2.5279 - val_tf_pmse_DA: 1006.3116 - val_tf_pmse_5HT: 1380.2779 - val_tf_pmse_pH: 0.5192 - val_tf_pmse_NE: 1263.0656\n",
      "Epoch 48/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0412 - tf_pmse_DA: 257.5369 - tf_pmse_5HT: 237.4934 - tf_pmse_pH: 0.0369 - tf_pmse_NE: 169.1158 - val_loss: 2.2286 - val_tf_pmse_DA: 933.6535 - val_tf_pmse_5HT: 1097.7644 - val_tf_pmse_pH: 0.5752 - val_tf_pmse_NE: 924.1355\n",
      "Epoch 49/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0397 - tf_pmse_DA: 249.9823 - tf_pmse_5HT: 233.1295 - tf_pmse_pH: 0.0364 - tf_pmse_NE: 164.1141 - val_loss: 2.5044 - val_tf_pmse_DA: 1295.0024 - val_tf_pmse_5HT: 1112.3420 - val_tf_pmse_pH: 0.5908 - val_tf_pmse_NE: 923.7956\n",
      "Epoch 50/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0397 - tf_pmse_DA: 250.4983 - tf_pmse_5HT: 229.6447 - tf_pmse_pH: 0.0369 - tf_pmse_NE: 168.2429 - val_loss: 3.2412 - val_tf_pmse_DA: 1637.3812 - val_tf_pmse_5HT: 1091.3242 - val_tf_pmse_pH: 0.7251 - val_tf_pmse_NE: 1003.7852\n",
      "Epoch 51/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0400 - tf_pmse_DA: 252.1718 - tf_pmse_5HT: 232.3508 - tf_pmse_pH: 0.0393 - tf_pmse_NE: 160.9739 - val_loss: 2.3113 - val_tf_pmse_DA: 1758.3237 - val_tf_pmse_5HT: 824.9094 - val_tf_pmse_pH: 0.5107 - val_tf_pmse_NE: 1018.3199\n",
      "Epoch 52/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0382 - tf_pmse_DA: 246.4892 - tf_pmse_5HT: 227.1957 - tf_pmse_pH: 0.0356 - tf_pmse_NE: 164.2514 - val_loss: 2.3353 - val_tf_pmse_DA: 860.4811 - val_tf_pmse_5HT: 1196.2238 - val_tf_pmse_pH: 0.6100 - val_tf_pmse_NE: 937.2552\n",
      "Epoch 53/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0407 - tf_pmse_DA: 251.7847 - tf_pmse_5HT: 233.3905 - tf_pmse_pH: 0.0405 - tf_pmse_NE: 164.7764 - val_loss: 3.4086 - val_tf_pmse_DA: 1659.6401 - val_tf_pmse_5HT: 1425.8131 - val_tf_pmse_pH: 0.6822 - val_tf_pmse_NE: 1130.8018\n",
      "Epoch 54/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0379 - tf_pmse_DA: 243.7445 - tf_pmse_5HT: 228.6907 - tf_pmse_pH: 0.0369 - tf_pmse_NE: 156.0134 - val_loss: 4.1137 - val_tf_pmse_DA: 2109.3323 - val_tf_pmse_5HT: 1277.3295 - val_tf_pmse_pH: 0.7791 - val_tf_pmse_NE: 1211.8551\n",
      "Epoch 55/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0384 - tf_pmse_DA: 247.2688 - tf_pmse_5HT: 227.2554 - tf_pmse_pH: 0.0370 - tf_pmse_NE: 162.4949 - val_loss: 2.5400 - val_tf_pmse_DA: 1200.0174 - val_tf_pmse_5HT: 965.9357 - val_tf_pmse_pH: 0.6542 - val_tf_pmse_NE: 915.4552\n",
      "Epoch 56/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0379 - tf_pmse_DA: 242.6104 - tf_pmse_5HT: 229.9915 - tf_pmse_pH: 0.0354 - tf_pmse_NE: 161.9807 - val_loss: 1.7935 - val_tf_pmse_DA: 862.2385 - val_tf_pmse_5HT: 966.0834 - val_tf_pmse_pH: 0.5038 - val_tf_pmse_NE: 932.2670\n",
      "Epoch 57/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0383 - tf_pmse_DA: 245.0900 - tf_pmse_5HT: 230.1639 - tf_pmse_pH: 0.0358 - tf_pmse_NE: 159.0620 - val_loss: 2.3759 - val_tf_pmse_DA: 1256.2850 - val_tf_pmse_5HT: 930.6427 - val_tf_pmse_pH: 0.6231 - val_tf_pmse_NE: 875.8297\n",
      "Epoch 58/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0390 - tf_pmse_DA: 249.0102 - tf_pmse_5HT: 231.1111 - tf_pmse_pH: 0.0363 - tf_pmse_NE: 160.1183 - val_loss: 3.5049 - val_tf_pmse_DA: 2156.3340 - val_tf_pmse_5HT: 1251.7653 - val_tf_pmse_pH: 0.6450 - val_tf_pmse_NE: 981.5673\n",
      "Epoch 59/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0375 - tf_pmse_DA: 245.9826 - tf_pmse_5HT: 232.6093 - tf_pmse_pH: 0.0354 - tf_pmse_NE: 149.2470 - val_loss: 2.8451 - val_tf_pmse_DA: 1638.0838 - val_tf_pmse_5HT: 1396.4904 - val_tf_pmse_pH: 0.5644 - val_tf_pmse_NE: 928.1460\n",
      "Epoch 60/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0364 - tf_pmse_DA: 235.5967 - tf_pmse_5HT: 218.0746 - tf_pmse_pH: 0.0392 - tf_pmse_NE: 153.1032 - val_loss: 2.5608 - val_tf_pmse_DA: 1515.8704 - val_tf_pmse_5HT: 970.8673 - val_tf_pmse_pH: 0.5943 - val_tf_pmse_NE: 929.9930\n",
      "Epoch 61/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0363 - tf_pmse_DA: 243.2317 - tf_pmse_5HT: 222.6583 - tf_pmse_pH: 0.0350 - tf_pmse_NE: 152.4056 - val_loss: 3.3076 - val_tf_pmse_DA: 1960.6511 - val_tf_pmse_5HT: 1191.4165 - val_tf_pmse_pH: 0.6742 - val_tf_pmse_NE: 917.3629\n",
      "Epoch 62/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0368 - tf_pmse_DA: 241.4115 - tf_pmse_5HT: 226.8641 - tf_pmse_pH: 0.0356 - tf_pmse_NE: 150.5110 - val_loss: 2.5930 - val_tf_pmse_DA: 1189.0955 - val_tf_pmse_5HT: 1179.0428 - val_tf_pmse_pH: 0.5447 - val_tf_pmse_NE: 1267.0115\n",
      "Epoch 63/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0378 - tf_pmse_DA: 245.9355 - tf_pmse_5HT: 228.4420 - tf_pmse_pH: 0.0350 - tf_pmse_NE: 156.9108 - val_loss: 2.5090 - val_tf_pmse_DA: 1239.3964 - val_tf_pmse_5HT: 1054.2771 - val_tf_pmse_pH: 0.6164 - val_tf_pmse_NE: 903.7485\n",
      "Epoch 64/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0367 - tf_pmse_DA: 241.2316 - tf_pmse_5HT: 223.1919 - tf_pmse_pH: 0.0359 - tf_pmse_NE: 155.4193 - val_loss: 1.8767 - val_tf_pmse_DA: 1106.2443 - val_tf_pmse_5HT: 848.9078 - val_tf_pmse_pH: 0.4964 - val_tf_pmse_NE: 873.1657\n",
      "Epoch 65/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0353 - tf_pmse_DA: 236.2213 - tf_pmse_5HT: 220.2138 - tf_pmse_pH: 0.0350 - tf_pmse_NE: 149.8467 - val_loss: 3.4243 - val_tf_pmse_DA: 2090.1011 - val_tf_pmse_5HT: 1202.6662 - val_tf_pmse_pH: 0.6111 - val_tf_pmse_NE: 1146.5224\n",
      "Epoch 66/100\n",
      "39600/39600 [==============================] - 36s 921us/step - loss: 0.0356 - tf_pmse_DA: 239.6175 - tf_pmse_5HT: 222.9276 - tf_pmse_pH: 0.0334 - tf_pmse_NE: 152.4888 - val_loss: 2.2510 - val_tf_pmse_DA: 879.6114 - val_tf_pmse_5HT: 1129.9765 - val_tf_pmse_pH: 0.6177 - val_tf_pmse_NE: 873.3518\n",
      "Epoch 67/100\n",
      "39600/39600 [==============================] - 37s 925us/step - loss: 0.0346 - tf_pmse_DA: 232.1977 - tf_pmse_5HT: 218.2381 - tf_pmse_pH: 0.0339 - tf_pmse_NE: 153.8197 - val_loss: 1.9276 - val_tf_pmse_DA: 1289.3464 - val_tf_pmse_5HT: 1047.8471 - val_tf_pmse_pH: 0.4258 - val_tf_pmse_NE: 876.0436\n",
      "Epoch 68/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0358 - tf_pmse_DA: 236.5065 - tf_pmse_5HT: 223.1131 - tf_pmse_pH: 0.0355 - tf_pmse_NE: 151.0130 - val_loss: 2.7624 - val_tf_pmse_DA: 1574.6950 - val_tf_pmse_5HT: 1006.4874 - val_tf_pmse_pH: 0.5915 - val_tf_pmse_NE: 1068.3935\n",
      "Epoch 69/100\n",
      "39600/39600 [==============================] - 37s 938us/step - loss: 0.0353 - tf_pmse_DA: 239.0334 - tf_pmse_5HT: 221.2571 - tf_pmse_pH: 0.0350 - tf_pmse_NE: 149.4493 - val_loss: 2.8172 - val_tf_pmse_DA: 939.8936 - val_tf_pmse_5HT: 1639.6262 - val_tf_pmse_pH: 0.6153 - val_tf_pmse_NE: 1052.3150\n",
      "Epoch 70/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0346 - tf_pmse_DA: 235.1374 - tf_pmse_5HT: 216.4167 - tf_pmse_pH: 0.0351 - tf_pmse_NE: 150.5232 - val_loss: 2.1433 - val_tf_pmse_DA: 1222.2496 - val_tf_pmse_5HT: 852.2399 - val_tf_pmse_pH: 0.5637 - val_tf_pmse_NE: 884.4826\n",
      "Epoch 71/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0344 - tf_pmse_DA: 233.9756 - tf_pmse_5HT: 220.8470 - tf_pmse_pH: 0.0340 - tf_pmse_NE: 146.4892 - val_loss: 2.3820 - val_tf_pmse_DA: 1451.1991 - val_tf_pmse_5HT: 965.2332 - val_tf_pmse_pH: 0.5220 - val_tf_pmse_NE: 1024.0458\n",
      "Epoch 72/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0332 - tf_pmse_DA: 230.5423 - tf_pmse_5HT: 212.4553 - tf_pmse_pH: 0.0341 - tf_pmse_NE: 139.4498 - val_loss: 2.4468 - val_tf_pmse_DA: 1489.0699 - val_tf_pmse_5HT: 1106.7618 - val_tf_pmse_pH: 0.5130 - val_tf_pmse_NE: 985.1697\n",
      "Epoch 73/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0318 - tf_pmse_DA: 222.6497 - tf_pmse_5HT: 209.8409 - tf_pmse_pH: 0.0349 - tf_pmse_NE: 140.1467 - val_loss: 2.1452 - val_tf_pmse_DA: 868.6738 - val_tf_pmse_5HT: 1022.5037 - val_tf_pmse_pH: 0.5405 - val_tf_pmse_NE: 1101.5987\n",
      "Epoch 74/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0339 - tf_pmse_DA: 233.0501 - tf_pmse_5HT: 217.6165 - tf_pmse_pH: 0.0336 - tf_pmse_NE: 144.4382 - val_loss: 2.6327 - val_tf_pmse_DA: 1313.1895 - val_tf_pmse_5HT: 904.4297 - val_tf_pmse_pH: 0.6305 - val_tf_pmse_NE: 1100.3807\n",
      "Epoch 75/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0329 - tf_pmse_DA: 231.5123 - tf_pmse_5HT: 212.4504 - tf_pmse_pH: 0.0325 - tf_pmse_NE: 143.8990 - val_loss: 2.1821 - val_tf_pmse_DA: 901.6493 - val_tf_pmse_5HT: 1019.7213 - val_tf_pmse_pH: 0.5856 - val_tf_pmse_NE: 940.6139\n",
      "Epoch 76/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0342 - tf_pmse_DA: 236.4263 - tf_pmse_5HT: 217.5152 - tf_pmse_pH: 0.0329 - tf_pmse_NE: 146.6704 - val_loss: 2.0601 - val_tf_pmse_DA: 892.7884 - val_tf_pmse_5HT: 1079.5426 - val_tf_pmse_pH: 0.5428 - val_tf_pmse_NE: 939.9830\n",
      "Epoch 77/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0326 - tf_pmse_DA: 228.0559 - tf_pmse_5HT: 207.4935 - tf_pmse_pH: 0.0361 - tf_pmse_NE: 139.8397 - val_loss: 2.9318 - val_tf_pmse_DA: 1411.8021 - val_tf_pmse_5HT: 1162.9309 - val_tf_pmse_pH: 0.6943 - val_tf_pmse_NE: 936.8965\n",
      "Epoch 78/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0334 - tf_pmse_DA: 230.1785 - tf_pmse_5HT: 216.4694 - tf_pmse_pH: 0.0340 - tf_pmse_NE: 142.2363 - val_loss: 1.5413 - val_tf_pmse_DA: 970.6898 - val_tf_pmse_5HT: 962.7170 - val_tf_pmse_pH: 0.4354 - val_tf_pmse_NE: 889.2776\n",
      "Epoch 79/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0333 - tf_pmse_DA: 227.4632 - tf_pmse_5HT: 217.5812 - tf_pmse_pH: 0.0340 - tf_pmse_NE: 144.2191 - val_loss: 1.7390 - val_tf_pmse_DA: 969.8767 - val_tf_pmse_5HT: 939.6658 - val_tf_pmse_pH: 0.4561 - val_tf_pmse_NE: 908.2878\n",
      "Epoch 80/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0318 - tf_pmse_DA: 225.8984 - tf_pmse_5HT: 210.5596 - tf_pmse_pH: 0.0341 - tf_pmse_NE: 139.7380 - val_loss: 1.5759 - val_tf_pmse_DA: 899.6987 - val_tf_pmse_5HT: 1068.5618 - val_tf_pmse_pH: 0.4042 - val_tf_pmse_NE: 904.0176\n",
      "Epoch 81/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0307 - tf_pmse_DA: 219.5983 - tf_pmse_5HT: 205.2580 - tf_pmse_pH: 0.0327 - tf_pmse_NE: 140.5898 - val_loss: 2.6137 - val_tf_pmse_DA: 1152.6248 - val_tf_pmse_5HT: 1241.0666 - val_tf_pmse_pH: 0.6537 - val_tf_pmse_NE: 880.7779\n",
      "Epoch 82/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0309 - tf_pmse_DA: 223.3887 - tf_pmse_5HT: 202.0893 - tf_pmse_pH: 0.0321 - tf_pmse_NE: 142.0064 - val_loss: 2.1531 - val_tf_pmse_DA: 944.4022 - val_tf_pmse_5HT: 1539.8007 - val_tf_pmse_pH: 0.4502 - val_tf_pmse_NE: 933.1330\n",
      "Epoch 83/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0317 - tf_pmse_DA: 217.9697 - tf_pmse_5HT: 209.8434 - tf_pmse_pH: 0.0368 - tf_pmse_NE: 136.0105 - val_loss: 2.0103 - val_tf_pmse_DA: 917.8840 - val_tf_pmse_5HT: 950.6039 - val_tf_pmse_pH: 0.5804 - val_tf_pmse_NE: 912.8188\n",
      "Epoch 84/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0332 - tf_pmse_DA: 227.3371 - tf_pmse_5HT: 214.8284 - tf_pmse_pH: 0.0347 - tf_pmse_NE: 143.2756 - val_loss: 2.9829 - val_tf_pmse_DA: 1933.0336 - val_tf_pmse_5HT: 934.5121 - val_tf_pmse_pH: 0.6486 - val_tf_pmse_NE: 885.1119\n",
      "Epoch 85/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0319 - tf_pmse_DA: 225.5013 - tf_pmse_5HT: 213.8895 - tf_pmse_pH: 0.0316 - tf_pmse_NE: 136.5595 - val_loss: 2.7526 - val_tf_pmse_DA: 1445.2452 - val_tf_pmse_5HT: 1197.8870 - val_tf_pmse_pH: 0.6191 - val_tf_pmse_NE: 950.1951\n",
      "Epoch 86/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0323 - tf_pmse_DA: 227.6198 - tf_pmse_5HT: 208.3625 - tf_pmse_pH: 0.0350 - tf_pmse_NE: 140.3543 - val_loss: 2.8593 - val_tf_pmse_DA: 1905.1406 - val_tf_pmse_5HT: 1291.5554 - val_tf_pmse_pH: 0.5392 - val_tf_pmse_NE: 880.6468\n",
      "Epoch 87/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0324 - tf_pmse_DA: 229.7649 - tf_pmse_5HT: 212.9799 - tf_pmse_pH: 0.0323 - tf_pmse_NE: 139.4835 - val_loss: 3.1649 - val_tf_pmse_DA: 1132.1180 - val_tf_pmse_5HT: 1460.1809 - val_tf_pmse_pH: 0.6985 - val_tf_pmse_NE: 1155.4735\n",
      "Epoch 88/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0304 - tf_pmse_DA: 221.5451 - tf_pmse_5HT: 206.7536 - tf_pmse_pH: 0.0322 - tf_pmse_NE: 132.9366 - val_loss: 2.1305 - val_tf_pmse_DA: 886.0268 - val_tf_pmse_5HT: 941.4445 - val_tf_pmse_pH: 0.6119 - val_tf_pmse_NE: 966.4155\n",
      "Epoch 89/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0308 - tf_pmse_DA: 224.8203 - tf_pmse_5HT: 206.3902 - tf_pmse_pH: 0.0314 - tf_pmse_NE: 136.8606 - val_loss: 2.0841 - val_tf_pmse_DA: 1024.6461 - val_tf_pmse_5HT: 981.4498 - val_tf_pmse_pH: 0.5148 - val_tf_pmse_NE: 1009.5475\n",
      "Epoch 90/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0312 - tf_pmse_DA: 221.3270 - tf_pmse_5HT: 208.2349 - tf_pmse_pH: 0.0335 - tf_pmse_NE: 137.8964 - val_loss: 1.9435 - val_tf_pmse_DA: 978.7744 - val_tf_pmse_5HT: 1063.0348 - val_tf_pmse_pH: 0.4858 - val_tf_pmse_NE: 920.6078\n",
      "Epoch 91/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0317 - tf_pmse_DA: 224.3284 - tf_pmse_5HT: 207.3904 - tf_pmse_pH: 0.0345 - tf_pmse_NE: 137.2061 - val_loss: 1.5462 - val_tf_pmse_DA: 958.1002 - val_tf_pmse_5HT: 1165.5382 - val_tf_pmse_pH: 0.3152 - val_tf_pmse_NE: 888.2549\n",
      "Epoch 92/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0308 - tf_pmse_DA: 222.4114 - tf_pmse_5HT: 204.4257 - tf_pmse_pH: 0.0334 - tf_pmse_NE: 135.5933 - val_loss: 2.1688 - val_tf_pmse_DA: 1027.7304 - val_tf_pmse_5HT: 1188.0817 - val_tf_pmse_pH: 0.5065 - val_tf_pmse_NE: 995.0808\n",
      "Epoch 93/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0326 - tf_pmse_DA: 227.3220 - tf_pmse_5HT: 212.5555 - tf_pmse_pH: 0.0348 - tf_pmse_NE: 137.8067 - val_loss: 2.2875 - val_tf_pmse_DA: 1150.0821 - val_tf_pmse_5HT: 1372.6199 - val_tf_pmse_pH: 0.4932 - val_tf_pmse_NE: 936.3075\n",
      "Epoch 94/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0305 - tf_pmse_DA: 224.5914 - tf_pmse_5HT: 205.0403 - tf_pmse_pH: 0.0298 - tf_pmse_NE: 132.7238 - val_loss: 2.2061 - val_tf_pmse_DA: 1098.3456 - val_tf_pmse_5HT: 1078.7651 - val_tf_pmse_pH: 0.5189 - val_tf_pmse_NE: 978.4873\n",
      "Epoch 95/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0307 - tf_pmse_DA: 222.0536 - tf_pmse_5HT: 205.7183 - tf_pmse_pH: 0.0324 - tf_pmse_NE: 135.1223 - val_loss: 2.1265 - val_tf_pmse_DA: 1071.6503 - val_tf_pmse_5HT: 934.3313 - val_tf_pmse_pH: 0.5755 - val_tf_pmse_NE: 890.9149\n",
      "Epoch 96/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0292 - tf_pmse_DA: 216.6637 - tf_pmse_5HT: 202.9951 - tf_pmse_pH: 0.0311 - tf_pmse_NE: 129.5465 - val_loss: 2.2896 - val_tf_pmse_DA: 1158.3917 - val_tf_pmse_5HT: 928.8179 - val_tf_pmse_pH: 0.6083 - val_tf_pmse_NE: 873.3285\n",
      "Epoch 97/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0282 - tf_pmse_DA: 211.5376 - tf_pmse_5HT: 196.8249 - tf_pmse_pH: 0.0325 - tf_pmse_NE: 127.5889 - val_loss: 2.0157 - val_tf_pmse_DA: 1263.0494 - val_tf_pmse_5HT: 869.2223 - val_tf_pmse_pH: 0.5115 - val_tf_pmse_NE: 887.3116\n",
      "Epoch 98/100\n",
      "39600/39600 [==============================] - 37s 923us/step - loss: 0.0275 - tf_pmse_DA: 209.6419 - tf_pmse_5HT: 193.4936 - tf_pmse_pH: 0.0329 - tf_pmse_NE: 125.8388 - val_loss: 1.5216 - val_tf_pmse_DA: 867.1504 - val_tf_pmse_5HT: 1044.9935 - val_tf_pmse_pH: 0.3812 - val_tf_pmse_NE: 892.6829\n",
      "Epoch 99/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0276 - tf_pmse_DA: 209.2001 - tf_pmse_5HT: 198.3051 - tf_pmse_pH: 0.0317 - tf_pmse_NE: 125.9209 - val_loss: 2.1156 - val_tf_pmse_DA: 1285.0225 - val_tf_pmse_5HT: 850.8750 - val_tf_pmse_pH: 0.5501 - val_tf_pmse_NE: 881.3714\n",
      "Epoch 100/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0283 - tf_pmse_DA: 215.2957 - tf_pmse_5HT: 200.5434 - tf_pmse_pH: 0.0307 - tf_pmse_NE: 125.9116 - val_loss: 2.0255 - val_tf_pmse_DA: 1231.9770 - val_tf_pmse_5HT: 977.8220 - val_tf_pmse_pH: 0.4954 - val_tf_pmse_NE: 915.0556\n",
      "predicting test set... done.\n"
     ]
    },
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       "      <th>rmse_DA</th>\n",
       "      <th>rmse_5HT</th>\n",
       "      <th>rmse_pH</th>\n",
       "      <th>rmse_NE</th>\n",
       "      <th>duration</th>\n",
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     "text": [
      "probe MMA019W01R04 (3 out of 7)\n",
      "loading previous weights...\n",
      "mini batch size: 128\n",
      "Train on 39600 samples, validate on 39600 samples\n",
      "Epoch 1/100\n",
      "39600/39600 [==============================] - 44s 1ms/step - loss: 7.9763 - tf_pmse_DA: 1667.5376 - tf_pmse_5HT: 1987.2772 - tf_pmse_pH: 0.6300 - tf_pmse_NE: 1857.2070 - val_loss: 1.4762 - val_tf_pmse_DA: 894.9788 - val_tf_pmse_5HT: 909.3133 - val_tf_pmse_pH: 0.4267 - val_tf_pmse_NE: 890.7120\n",
      "Epoch 2/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.3993 - tf_pmse_DA: 667.3644 - tf_pmse_5HT: 780.5301 - tf_pmse_pH: 0.1533 - tf_pmse_NE: 625.7120 - val_loss: 1.5731 - val_tf_pmse_DA: 960.6530 - val_tf_pmse_5HT: 951.7317 - val_tf_pmse_pH: 0.2384 - val_tf_pmse_NE: 1353.1181\n",
      "Epoch 3/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.2295 - tf_pmse_DA: 469.0897 - tf_pmse_5HT: 650.1744 - tf_pmse_pH: 0.0944 - tf_pmse_NE: 488.5395 - val_loss: 1.4182 - val_tf_pmse_DA: 1002.7629 - val_tf_pmse_5HT: 971.8885 - val_tf_pmse_pH: 0.3029 - val_tf_pmse_NE: 986.1731\n",
      "Epoch 4/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.1592 - tf_pmse_DA: 382.4460 - tf_pmse_5HT: 530.9583 - tf_pmse_pH: 0.0811 - tf_pmse_NE: 424.1111 - val_loss: 2.1113 - val_tf_pmse_DA: 1279.6537 - val_tf_pmse_5HT: 1112.7018 - val_tf_pmse_pH: 0.3943 - val_tf_pmse_NE: 1079.3234\n",
      "Epoch 5/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.1264 - tf_pmse_DA: 340.6152 - tf_pmse_5HT: 462.0889 - tf_pmse_pH: 0.0746 - tf_pmse_NE: 386.0943 - val_loss: 2.0337 - val_tf_pmse_DA: 1160.1193 - val_tf_pmse_5HT: 1195.6462 - val_tf_pmse_pH: 0.4368 - val_tf_pmse_NE: 1501.1148\n",
      "Epoch 6/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.1061 - tf_pmse_DA: 318.2140 - tf_pmse_5HT: 414.6198 - tf_pmse_pH: 0.0688 - tf_pmse_NE: 354.3228 - val_loss: 1.5635 - val_tf_pmse_DA: 1055.1900 - val_tf_pmse_5HT: 1026.5658 - val_tf_pmse_pH: 0.2942 - val_tf_pmse_NE: 1274.4166\n",
      "Epoch 7/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0911 - tf_pmse_DA: 295.4376 - tf_pmse_5HT: 381.6713 - tf_pmse_pH: 0.0621 - tf_pmse_NE: 333.9573 - val_loss: 2.5007 - val_tf_pmse_DA: 1138.5306 - val_tf_pmse_5HT: 2157.9843 - val_tf_pmse_pH: 0.3039 - val_tf_pmse_NE: 1227.6128\n",
      "Epoch 8/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0831 - tf_pmse_DA: 280.8599 - tf_pmse_5HT: 367.9552 - tf_pmse_pH: 0.0598 - tf_pmse_NE: 315.1185 - val_loss: 2.3576 - val_tf_pmse_DA: 1415.4423 - val_tf_pmse_5HT: 1747.5905 - val_tf_pmse_pH: 0.3470 - val_tf_pmse_NE: 1257.6158\n",
      "Epoch 9/100\n",
      "39600/39600 [==============================] - 36s 921us/step - loss: 0.0779 - tf_pmse_DA: 280.9767 - tf_pmse_5HT: 349.1634 - tf_pmse_pH: 0.0581 - tf_pmse_NE: 301.6322 - val_loss: 1.9723 - val_tf_pmse_DA: 1108.5263 - val_tf_pmse_5HT: 1240.5795 - val_tf_pmse_pH: 0.2572 - val_tf_pmse_NE: 1318.6708\n",
      "Epoch 10/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0708 - tf_pmse_DA: 264.9516 - tf_pmse_5HT: 333.7840 - tf_pmse_pH: 0.0546 - tf_pmse_NE: 290.8996 - val_loss: 1.7327 - val_tf_pmse_DA: 1182.0881 - val_tf_pmse_5HT: 1357.3338 - val_tf_pmse_pH: 0.2718 - val_tf_pmse_NE: 1192.2155\n",
      "Epoch 11/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0685 - tf_pmse_DA: 260.3254 - tf_pmse_5HT: 327.1589 - tf_pmse_pH: 0.0539 - tf_pmse_NE: 285.4247 - val_loss: 1.9213 - val_tf_pmse_DA: 1188.3765 - val_tf_pmse_5HT: 1419.0400 - val_tf_pmse_pH: 0.2818 - val_tf_pmse_NE: 1212.8504\n",
      "Epoch 12/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0679 - tf_pmse_DA: 260.6427 - tf_pmse_5HT: 325.7794 - tf_pmse_pH: 0.0542 - tf_pmse_NE: 282.5568 - val_loss: 1.6593 - val_tf_pmse_DA: 1112.7356 - val_tf_pmse_5HT: 1109.7894 - val_tf_pmse_pH: 0.2693 - val_tf_pmse_NE: 1239.4129\n",
      "Epoch 13/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0627 - tf_pmse_DA: 245.9979 - tf_pmse_5HT: 315.4919 - tf_pmse_pH: 0.0520 - tf_pmse_NE: 272.6894 - val_loss: 1.7486 - val_tf_pmse_DA: 1213.2368 - val_tf_pmse_5HT: 1108.0421 - val_tf_pmse_pH: 0.2631 - val_tf_pmse_NE: 1194.7720\n",
      "Epoch 14/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0602 - tf_pmse_DA: 237.5975 - tf_pmse_5HT: 308.1218 - tf_pmse_pH: 0.0526 - tf_pmse_NE: 266.3082 - val_loss: 1.8527 - val_tf_pmse_DA: 1099.2813 - val_tf_pmse_5HT: 1334.3988 - val_tf_pmse_pH: 0.3195 - val_tf_pmse_NE: 1241.4006\n",
      "Epoch 15/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0581 - tf_pmse_DA: 233.0248 - tf_pmse_5HT: 305.7827 - tf_pmse_pH: 0.0505 - tf_pmse_NE: 260.7807 - val_loss: 1.6627 - val_tf_pmse_DA: 1123.7660 - val_tf_pmse_5HT: 1092.0738 - val_tf_pmse_pH: 0.2860 - val_tf_pmse_NE: 1261.4728\n",
      "Epoch 16/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0583 - tf_pmse_DA: 233.8823 - tf_pmse_5HT: 301.4896 - tf_pmse_pH: 0.0512 - tf_pmse_NE: 264.0543 - val_loss: 1.7029 - val_tf_pmse_DA: 1134.7640 - val_tf_pmse_5HT: 1186.9725 - val_tf_pmse_pH: 0.2680 - val_tf_pmse_NE: 1254.1931\n",
      "Epoch 17/100\n",
      "39600/39600 [==============================] - 37s 926us/step - loss: 0.0560 - tf_pmse_DA: 229.0362 - tf_pmse_5HT: 300.8797 - tf_pmse_pH: 0.0495 - tf_pmse_NE: 254.5182 - val_loss: 1.9471 - val_tf_pmse_DA: 1119.2614 - val_tf_pmse_5HT: 1334.4615 - val_tf_pmse_pH: 0.3049 - val_tf_pmse_NE: 1412.6137\n",
      "Epoch 18/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0536 - tf_pmse_DA: 223.1854 - tf_pmse_5HT: 290.9689 - tf_pmse_pH: 0.0501 - tf_pmse_NE: 247.1947 - val_loss: 2.1796 - val_tf_pmse_DA: 1150.2378 - val_tf_pmse_5HT: 1523.0574 - val_tf_pmse_pH: 0.3071 - val_tf_pmse_NE: 1312.7788\n",
      "Epoch 19/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0541 - tf_pmse_DA: 226.7004 - tf_pmse_5HT: 292.1703 - tf_pmse_pH: 0.0494 - tf_pmse_NE: 249.6900 - val_loss: 2.0357 - val_tf_pmse_DA: 1337.2187 - val_tf_pmse_5HT: 1190.8289 - val_tf_pmse_pH: 0.2770 - val_tf_pmse_NE: 1270.3489\n",
      "Epoch 20/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0521 - tf_pmse_DA: 220.6574 - tf_pmse_5HT: 288.6037 - tf_pmse_pH: 0.0484 - tf_pmse_NE: 245.5529 - val_loss: 1.6880 - val_tf_pmse_DA: 1162.0276 - val_tf_pmse_5HT: 1112.3468 - val_tf_pmse_pH: 0.2794 - val_tf_pmse_NE: 1265.5196\n",
      "Epoch 21/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0518 - tf_pmse_DA: 225.1415 - tf_pmse_5HT: 280.8359 - tf_pmse_pH: 0.0483 - tf_pmse_NE: 247.0312 - val_loss: 1.7280 - val_tf_pmse_DA: 1138.5366 - val_tf_pmse_5HT: 1119.1203 - val_tf_pmse_pH: 0.2843 - val_tf_pmse_NE: 1325.0320\n",
      "Epoch 22/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0517 - tf_pmse_DA: 221.7167 - tf_pmse_5HT: 284.5613 - tf_pmse_pH: 0.0507 - tf_pmse_NE: 239.7458 - val_loss: 1.6889 - val_tf_pmse_DA: 1143.4338 - val_tf_pmse_5HT: 1128.9324 - val_tf_pmse_pH: 0.2845 - val_tf_pmse_NE: 1309.2873\n",
      "Epoch 23/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0501 - tf_pmse_DA: 208.7503 - tf_pmse_5HT: 282.8508 - tf_pmse_pH: 0.0466 - tf_pmse_NE: 245.5258 - val_loss: 1.7669 - val_tf_pmse_DA: 1147.3612 - val_tf_pmse_5HT: 1232.0636 - val_tf_pmse_pH: 0.2913 - val_tf_pmse_NE: 1351.4678\n",
      "Epoch 24/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0479 - tf_pmse_DA: 213.2633 - tf_pmse_5HT: 276.0018 - tf_pmse_pH: 0.0451 - tf_pmse_NE: 235.5663 - val_loss: 1.8410 - val_tf_pmse_DA: 1148.4684 - val_tf_pmse_5HT: 1222.5003 - val_tf_pmse_pH: 0.2701 - val_tf_pmse_NE: 1214.0313\n",
      "Epoch 25/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0464 - tf_pmse_DA: 205.5251 - tf_pmse_5HT: 271.6297 - tf_pmse_pH: 0.0464 - tf_pmse_NE: 231.2766 - val_loss: 2.0883 - val_tf_pmse_DA: 1566.3156 - val_tf_pmse_5HT: 1129.0200 - val_tf_pmse_pH: 0.2980 - val_tf_pmse_NE: 1479.7632\n",
      "Epoch 26/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0462 - tf_pmse_DA: 203.7587 - tf_pmse_5HT: 273.4716 - tf_pmse_pH: 0.0473 - tf_pmse_NE: 225.2438 - val_loss: 1.8710 - val_tf_pmse_DA: 1163.0000 - val_tf_pmse_5HT: 1243.6726 - val_tf_pmse_pH: 0.3134 - val_tf_pmse_NE: 1327.4130\n",
      "Epoch 27/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0438 - tf_pmse_DA: 199.7747 - tf_pmse_5HT: 264.0079 - tf_pmse_pH: 0.0450 - tf_pmse_NE: 224.4779 - val_loss: 1.7577 - val_tf_pmse_DA: 1166.0658 - val_tf_pmse_5HT: 1151.4950 - val_tf_pmse_pH: 0.2980 - val_tf_pmse_NE: 1308.1378\n",
      "Epoch 28/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0431 - tf_pmse_DA: 204.1541 - tf_pmse_5HT: 260.0646 - tf_pmse_pH: 0.0445 - tf_pmse_NE: 220.1095 - val_loss: 1.8871 - val_tf_pmse_DA: 1269.2579 - val_tf_pmse_5HT: 1178.5641 - val_tf_pmse_pH: 0.3257 - val_tf_pmse_NE: 1364.5813\n",
      "Epoch 29/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0424 - tf_pmse_DA: 195.6295 - tf_pmse_5HT: 259.9774 - tf_pmse_pH: 0.0431 - tf_pmse_NE: 224.6335 - val_loss: 1.9355 - val_tf_pmse_DA: 1284.7867 - val_tf_pmse_5HT: 1194.8715 - val_tf_pmse_pH: 0.2919 - val_tf_pmse_NE: 1350.8145\n",
      "Epoch 30/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0447 - tf_pmse_DA: 201.4981 - tf_pmse_5HT: 267.2663 - tf_pmse_pH: 0.0451 - tf_pmse_NE: 225.9918 - val_loss: 1.8560 - val_tf_pmse_DA: 1205.1394 - val_tf_pmse_5HT: 1211.2416 - val_tf_pmse_pH: 0.2734 - val_tf_pmse_NE: 1287.2792\n",
      "Epoch 31/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0409 - tf_pmse_DA: 196.3000 - tf_pmse_5HT: 256.5429 - tf_pmse_pH: 0.0433 - tf_pmse_NE: 211.1812 - val_loss: 1.8629 - val_tf_pmse_DA: 1213.0040 - val_tf_pmse_5HT: 1092.6676 - val_tf_pmse_pH: 0.2955 - val_tf_pmse_NE: 1363.4323\n",
      "Epoch 32/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0419 - tf_pmse_DA: 190.4270 - tf_pmse_5HT: 258.5247 - tf_pmse_pH: 0.0447 - tf_pmse_NE: 219.2565 - val_loss: 1.8567 - val_tf_pmse_DA: 1166.0503 - val_tf_pmse_5HT: 1171.5963 - val_tf_pmse_pH: 0.3100 - val_tf_pmse_NE: 1289.1599\n",
      "Epoch 33/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0428 - tf_pmse_DA: 195.5013 - tf_pmse_5HT: 256.2580 - tf_pmse_pH: 0.0450 - tf_pmse_NE: 225.0716 - val_loss: 1.8610 - val_tf_pmse_DA: 1207.9852 - val_tf_pmse_5HT: 1166.4065 - val_tf_pmse_pH: 0.2923 - val_tf_pmse_NE: 1366.6416\n",
      "Epoch 34/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0395 - tf_pmse_DA: 188.8019 - tf_pmse_5HT: 250.1100 - tf_pmse_pH: 0.0444 - tf_pmse_NE: 208.1276 - val_loss: 1.8028 - val_tf_pmse_DA: 1180.8618 - val_tf_pmse_5HT: 1139.3125 - val_tf_pmse_pH: 0.2845 - val_tf_pmse_NE: 1333.9344\n",
      "Epoch 35/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0380 - tf_pmse_DA: 184.2917 - tf_pmse_5HT: 244.3071 - tf_pmse_pH: 0.0424 - tf_pmse_NE: 210.7473 - val_loss: 1.9895 - val_tf_pmse_DA: 1226.0625 - val_tf_pmse_5HT: 1115.2619 - val_tf_pmse_pH: 0.2856 - val_tf_pmse_NE: 1363.7029\n",
      "Epoch 36/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0388 - tf_pmse_DA: 188.7690 - tf_pmse_5HT: 245.7909 - tf_pmse_pH: 0.0422 - tf_pmse_NE: 211.6290 - val_loss: 1.8985 - val_tf_pmse_DA: 1204.0943 - val_tf_pmse_5HT: 1201.8579 - val_tf_pmse_pH: 0.3046 - val_tf_pmse_NE: 1420.5839\n",
      "Epoch 37/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0394 - tf_pmse_DA: 189.4057 - tf_pmse_5HT: 251.3018 - tf_pmse_pH: 0.0432 - tf_pmse_NE: 206.5771 - val_loss: 2.0403 - val_tf_pmse_DA: 1149.5443 - val_tf_pmse_5HT: 1420.9704 - val_tf_pmse_pH: 0.2931 - val_tf_pmse_NE: 1324.7338\n",
      "Epoch 38/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0388 - tf_pmse_DA: 186.0235 - tf_pmse_5HT: 245.2067 - tf_pmse_pH: 0.0443 - tf_pmse_NE: 208.3826 - val_loss: 1.7553 - val_tf_pmse_DA: 1208.4210 - val_tf_pmse_5HT: 1083.5220 - val_tf_pmse_pH: 0.2746 - val_tf_pmse_NE: 1184.2844\n",
      "Epoch 39/100\n",
      "39600/39600 [==============================] - 37s 924us/step - loss: 0.0376 - tf_pmse_DA: 181.2580 - tf_pmse_5HT: 238.8062 - tf_pmse_pH: 0.0425 - tf_pmse_NE: 211.6538 - val_loss: 1.8407 - val_tf_pmse_DA: 1213.3284 - val_tf_pmse_5HT: 1121.8820 - val_tf_pmse_pH: 0.2841 - val_tf_pmse_NE: 1326.5998\n",
      "Epoch 40/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0365 - tf_pmse_DA: 179.6496 - tf_pmse_5HT: 241.2439 - tf_pmse_pH: 0.0410 - tf_pmse_NE: 203.4239 - val_loss: 1.8797 - val_tf_pmse_DA: 1206.5028 - val_tf_pmse_5HT: 1135.4515 - val_tf_pmse_pH: 0.2922 - val_tf_pmse_NE: 1389.6519\n",
      "Epoch 41/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0363 - tf_pmse_DA: 176.7143 - tf_pmse_5HT: 243.3498 - tf_pmse_pH: 0.0408 - tf_pmse_NE: 204.5192 - val_loss: 1.8370 - val_tf_pmse_DA: 1215.6860 - val_tf_pmse_5HT: 1135.1346 - val_tf_pmse_pH: 0.2893 - val_tf_pmse_NE: 1308.9070\n",
      "Epoch 42/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0357 - tf_pmse_DA: 176.2573 - tf_pmse_5HT: 236.4497 - tf_pmse_pH: 0.0403 - tf_pmse_NE: 204.8301 - val_loss: 1.8988 - val_tf_pmse_DA: 1187.4394 - val_tf_pmse_5HT: 1196.1310 - val_tf_pmse_pH: 0.2834 - val_tf_pmse_NE: 1304.3013\n",
      "Epoch 43/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0351 - tf_pmse_DA: 172.7855 - tf_pmse_5HT: 236.7552 - tf_pmse_pH: 0.0419 - tf_pmse_NE: 198.4891 - val_loss: 1.8711 - val_tf_pmse_DA: 1193.1795 - val_tf_pmse_5HT: 1160.8694 - val_tf_pmse_pH: 0.3049 - val_tf_pmse_NE: 1286.7080\n",
      "Epoch 44/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0331 - tf_pmse_DA: 176.5635 - tf_pmse_5HT: 226.7643 - tf_pmse_pH: 0.0404 - tf_pmse_NE: 189.8766 - val_loss: 1.8017 - val_tf_pmse_DA: 1156.5155 - val_tf_pmse_5HT: 1122.5647 - val_tf_pmse_pH: 0.2849 - val_tf_pmse_NE: 1281.1014\n",
      "Epoch 45/100\n",
      "39600/39600 [==============================] - 37s 926us/step - loss: 0.0350 - tf_pmse_DA: 172.4846 - tf_pmse_5HT: 236.7849 - tf_pmse_pH: 0.0417 - tf_pmse_NE: 197.9508 - val_loss: 1.8363 - val_tf_pmse_DA: 1182.3083 - val_tf_pmse_5HT: 1131.0211 - val_tf_pmse_pH: 0.3014 - val_tf_pmse_NE: 1286.4210\n",
      "Epoch 46/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0362 - tf_pmse_DA: 181.4642 - tf_pmse_5HT: 240.0300 - tf_pmse_pH: 0.0422 - tf_pmse_NE: 197.4573 - val_loss: 1.9932 - val_tf_pmse_DA: 1220.5828 - val_tf_pmse_5HT: 1136.1809 - val_tf_pmse_pH: 0.2916 - val_tf_pmse_NE: 1385.7516\n",
      "Epoch 47/100\n",
      "39600/39600 [==============================] - 37s 926us/step - loss: 0.0339 - tf_pmse_DA: 170.8813 - tf_pmse_5HT: 232.9030 - tf_pmse_pH: 0.0417 - tf_pmse_NE: 190.3637 - val_loss: 1.7527 - val_tf_pmse_DA: 1148.5949 - val_tf_pmse_5HT: 1129.9975 - val_tf_pmse_pH: 0.2788 - val_tf_pmse_NE: 1187.4787\n",
      "Epoch 48/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0335 - tf_pmse_DA: 170.5606 - tf_pmse_5HT: 232.5810 - tf_pmse_pH: 0.0396 - tf_pmse_NE: 193.8801 - val_loss: 1.9549 - val_tf_pmse_DA: 1248.0134 - val_tf_pmse_5HT: 1139.6582 - val_tf_pmse_pH: 0.2967 - val_tf_pmse_NE: 1400.4209\n",
      "Epoch 49/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0336 - tf_pmse_DA: 166.8483 - tf_pmse_5HT: 231.3610 - tf_pmse_pH: 0.0410 - tf_pmse_NE: 195.2974 - val_loss: 1.9950 - val_tf_pmse_DA: 1190.7064 - val_tf_pmse_5HT: 1247.9222 - val_tf_pmse_pH: 0.3170 - val_tf_pmse_NE: 1384.2611\n",
      "Epoch 50/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0334 - tf_pmse_DA: 171.4393 - tf_pmse_5HT: 227.9636 - tf_pmse_pH: 0.0403 - tf_pmse_NE: 194.2853 - val_loss: 1.9109 - val_tf_pmse_DA: 1163.3629 - val_tf_pmse_5HT: 1249.8940 - val_tf_pmse_pH: 0.2900 - val_tf_pmse_NE: 1328.9240\n",
      "Epoch 51/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0331 - tf_pmse_DA: 167.2451 - tf_pmse_5HT: 226.0097 - tf_pmse_pH: 0.0409 - tf_pmse_NE: 194.7591 - val_loss: 1.7579 - val_tf_pmse_DA: 1175.9480 - val_tf_pmse_5HT: 1109.0253 - val_tf_pmse_pH: 0.2854 - val_tf_pmse_NE: 1223.5112\n",
      "Epoch 52/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0309 - tf_pmse_DA: 166.3866 - tf_pmse_5HT: 224.9176 - tf_pmse_pH: 0.0378 - tf_pmse_NE: 180.3083 - val_loss: 1.8144 - val_tf_pmse_DA: 1168.3540 - val_tf_pmse_5HT: 1234.7852 - val_tf_pmse_pH: 0.2950 - val_tf_pmse_NE: 1237.5505\n",
      "Epoch 53/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0327 - tf_pmse_DA: 164.3284 - tf_pmse_5HT: 230.3731 - tf_pmse_pH: 0.0405 - tf_pmse_NE: 190.5489 - val_loss: 1.8564 - val_tf_pmse_DA: 1189.6837 - val_tf_pmse_5HT: 1170.2567 - val_tf_pmse_pH: 0.2917 - val_tf_pmse_NE: 1259.5529\n",
      "Epoch 54/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0312 - tf_pmse_DA: 163.2131 - tf_pmse_5HT: 223.5820 - tf_pmse_pH: 0.0384 - tf_pmse_NE: 187.6890 - val_loss: 1.8293 - val_tf_pmse_DA: 1199.6070 - val_tf_pmse_5HT: 1135.8114 - val_tf_pmse_pH: 0.3216 - val_tf_pmse_NE: 1305.0341\n",
      "Epoch 55/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0310 - tf_pmse_DA: 163.7361 - tf_pmse_5HT: 222.0838 - tf_pmse_pH: 0.0396 - tf_pmse_NE: 183.4685 - val_loss: 1.9245 - val_tf_pmse_DA: 1208.0494 - val_tf_pmse_5HT: 1243.6109 - val_tf_pmse_pH: 0.3090 - val_tf_pmse_NE: 1273.0848\n",
      "Epoch 56/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0320 - tf_pmse_DA: 172.9864 - tf_pmse_5HT: 218.1508 - tf_pmse_pH: 0.0399 - tf_pmse_NE: 189.3090 - val_loss: 1.9627 - val_tf_pmse_DA: 1337.2606 - val_tf_pmse_5HT: 1118.7614 - val_tf_pmse_pH: 0.2855 - val_tf_pmse_NE: 1261.7730\n",
      "Epoch 57/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0292 - tf_pmse_DA: 160.7745 - tf_pmse_5HT: 215.5317 - tf_pmse_pH: 0.0382 - tf_pmse_NE: 177.1539 - val_loss: 1.8697 - val_tf_pmse_DA: 1223.3855 - val_tf_pmse_5HT: 1195.7163 - val_tf_pmse_pH: 0.2979 - val_tf_pmse_NE: 1305.0670\n",
      "Epoch 58/100\n",
      "39600/39600 [==============================] - 37s 938us/step - loss: 0.0298 - tf_pmse_DA: 161.5126 - tf_pmse_5HT: 213.8034 - tf_pmse_pH: 0.0380 - tf_pmse_NE: 184.1929 - val_loss: 1.8866 - val_tf_pmse_DA: 1189.4965 - val_tf_pmse_5HT: 1257.7590 - val_tf_pmse_pH: 0.2853 - val_tf_pmse_NE: 1232.9889\n",
      "Epoch 59/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0306 - tf_pmse_DA: 162.3832 - tf_pmse_5HT: 218.9590 - tf_pmse_pH: 0.0396 - tf_pmse_NE: 185.3213 - val_loss: 1.8443 - val_tf_pmse_DA: 1179.4354 - val_tf_pmse_5HT: 1208.0217 - val_tf_pmse_pH: 0.2978 - val_tf_pmse_NE: 1294.4667\n",
      "Epoch 60/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0292 - tf_pmse_DA: 157.6126 - tf_pmse_5HT: 214.7110 - tf_pmse_pH: 0.0364 - tf_pmse_NE: 186.5485 - val_loss: 1.8368 - val_tf_pmse_DA: 1284.3628 - val_tf_pmse_5HT: 1135.8254 - val_tf_pmse_pH: 0.2961 - val_tf_pmse_NE: 1298.9157\n",
      "Epoch 61/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0281 - tf_pmse_DA: 157.2273 - tf_pmse_5HT: 208.4290 - tf_pmse_pH: 0.0391 - tf_pmse_NE: 173.6547 - val_loss: 1.9092 - val_tf_pmse_DA: 1246.2704 - val_tf_pmse_5HT: 1130.4648 - val_tf_pmse_pH: 0.3344 - val_tf_pmse_NE: 1283.8946\n",
      "Epoch 62/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0293 - tf_pmse_DA: 165.1910 - tf_pmse_5HT: 210.7226 - tf_pmse_pH: 0.0383 - tf_pmse_NE: 179.6555 - val_loss: 2.1888 - val_tf_pmse_DA: 1504.2152 - val_tf_pmse_5HT: 1390.6120 - val_tf_pmse_pH: 0.2802 - val_tf_pmse_NE: 1460.9676\n",
      "Epoch 63/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0289 - tf_pmse_DA: 157.8041 - tf_pmse_5HT: 214.4214 - tf_pmse_pH: 0.0389 - tf_pmse_NE: 175.6640 - val_loss: 2.0501 - val_tf_pmse_DA: 1175.3188 - val_tf_pmse_5HT: 1423.9571 - val_tf_pmse_pH: 0.2840 - val_tf_pmse_NE: 1279.8641\n",
      "Epoch 64/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0299 - tf_pmse_DA: 163.9689 - tf_pmse_5HT: 217.8245 - tf_pmse_pH: 0.0379 - tf_pmse_NE: 179.6074 - val_loss: 2.0549 - val_tf_pmse_DA: 1215.5754 - val_tf_pmse_5HT: 1222.2280 - val_tf_pmse_pH: 0.2957 - val_tf_pmse_NE: 1317.7254\n",
      "Epoch 65/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0271 - tf_pmse_DA: 151.3099 - tf_pmse_5HT: 208.7424 - tf_pmse_pH: 0.0350 - tf_pmse_NE: 176.2912 - val_loss: 1.8275 - val_tf_pmse_DA: 1208.1312 - val_tf_pmse_5HT: 1174.8061 - val_tf_pmse_pH: 0.2891 - val_tf_pmse_NE: 1240.7375\n",
      "Epoch 66/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0279 - tf_pmse_DA: 157.8584 - tf_pmse_5HT: 211.3623 - tf_pmse_pH: 0.0371 - tf_pmse_NE: 171.7821 - val_loss: 1.8905 - val_tf_pmse_DA: 1238.1947 - val_tf_pmse_5HT: 1176.2476 - val_tf_pmse_pH: 0.2963 - val_tf_pmse_NE: 1255.9034\n",
      "Epoch 67/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0282 - tf_pmse_DA: 154.0285 - tf_pmse_5HT: 214.0679 - tf_pmse_pH: 0.0378 - tf_pmse_NE: 173.7674 - val_loss: 1.8715 - val_tf_pmse_DA: 1227.4194 - val_tf_pmse_5HT: 1204.1391 - val_tf_pmse_pH: 0.3043 - val_tf_pmse_NE: 1241.8654\n",
      "Epoch 68/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0266 - tf_pmse_DA: 150.3443 - tf_pmse_5HT: 205.1526 - tf_pmse_pH: 0.0368 - tf_pmse_NE: 169.8773 - val_loss: 1.9228 - val_tf_pmse_DA: 1208.6411 - val_tf_pmse_5HT: 1243.8408 - val_tf_pmse_pH: 0.2878 - val_tf_pmse_NE: 1213.0876\n",
      "Epoch 69/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0268 - tf_pmse_DA: 151.7777 - tf_pmse_5HT: 204.0440 - tf_pmse_pH: 0.0371 - tf_pmse_NE: 172.2228 - val_loss: 1.9596 - val_tf_pmse_DA: 1198.7913 - val_tf_pmse_5HT: 1217.3564 - val_tf_pmse_pH: 0.2922 - val_tf_pmse_NE: 1276.1396\n",
      "Epoch 70/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0278 - tf_pmse_DA: 153.0543 - tf_pmse_5HT: 210.0885 - tf_pmse_pH: 0.0385 - tf_pmse_NE: 172.3286 - val_loss: 1.8923 - val_tf_pmse_DA: 1283.7581 - val_tf_pmse_5HT: 1215.0903 - val_tf_pmse_pH: 0.3136 - val_tf_pmse_NE: 1278.2071\n",
      "Epoch 71/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0251 - tf_pmse_DA: 147.0811 - tf_pmse_5HT: 195.6724 - tf_pmse_pH: 0.0359 - tf_pmse_NE: 169.2062 - val_loss: 1.8622 - val_tf_pmse_DA: 1230.4079 - val_tf_pmse_5HT: 1203.6643 - val_tf_pmse_pH: 0.3001 - val_tf_pmse_NE: 1259.7816\n",
      "Epoch 72/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0256 - tf_pmse_DA: 148.7896 - tf_pmse_5HT: 201.4959 - tf_pmse_pH: 0.0361 - tf_pmse_NE: 164.7826 - val_loss: 1.8654 - val_tf_pmse_DA: 1196.6848 - val_tf_pmse_5HT: 1215.4571 - val_tf_pmse_pH: 0.2949 - val_tf_pmse_NE: 1222.7207\n",
      "Epoch 73/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0270 - tf_pmse_DA: 155.3686 - tf_pmse_5HT: 202.5812 - tf_pmse_pH: 0.0358 - tf_pmse_NE: 176.3254 - val_loss: 2.2945 - val_tf_pmse_DA: 1217.6007 - val_tf_pmse_5HT: 1383.0697 - val_tf_pmse_pH: 0.3092 - val_tf_pmse_NE: 1372.6740\n",
      "Epoch 74/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0270 - tf_pmse_DA: 148.4212 - tf_pmse_5HT: 208.3830 - tf_pmse_pH: 0.0377 - tf_pmse_NE: 171.1275 - val_loss: 1.9662 - val_tf_pmse_DA: 1166.1849 - val_tf_pmse_5HT: 1227.6109 - val_tf_pmse_pH: 0.3177 - val_tf_pmse_NE: 1228.2683\n",
      "Epoch 75/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0244 - tf_pmse_DA: 146.6490 - tf_pmse_5HT: 197.1940 - tf_pmse_pH: 0.0336 - tf_pmse_NE: 165.7853 - val_loss: 2.0077 - val_tf_pmse_DA: 1182.0565 - val_tf_pmse_5HT: 1355.4407 - val_tf_pmse_pH: 0.2809 - val_tf_pmse_NE: 1234.2330\n",
      "Epoch 76/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0263 - tf_pmse_DA: 145.2939 - tf_pmse_5HT: 211.4497 - tf_pmse_pH: 0.0352 - tf_pmse_NE: 168.1920 - val_loss: 1.9329 - val_tf_pmse_DA: 1207.5034 - val_tf_pmse_5HT: 1210.0359 - val_tf_pmse_pH: 0.2967 - val_tf_pmse_NE: 1295.1931\n",
      "Epoch 77/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0248 - tf_pmse_DA: 142.1955 - tf_pmse_5HT: 195.9620 - tf_pmse_pH: 0.0357 - tf_pmse_NE: 167.8951 - val_loss: 1.9766 - val_tf_pmse_DA: 1208.3029 - val_tf_pmse_5HT: 1258.8141 - val_tf_pmse_pH: 0.3139 - val_tf_pmse_NE: 1232.1172\n",
      "Epoch 78/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0251 - tf_pmse_DA: 146.5600 - tf_pmse_5HT: 199.6128 - tf_pmse_pH: 0.0343 - tf_pmse_NE: 169.8489 - val_loss: 1.8433 - val_tf_pmse_DA: 1207.7549 - val_tf_pmse_5HT: 1168.1871 - val_tf_pmse_pH: 0.3186 - val_tf_pmse_NE: 1227.3614\n",
      "Epoch 79/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0266 - tf_pmse_DA: 149.7589 - tf_pmse_5HT: 204.8376 - tf_pmse_pH: 0.0383 - tf_pmse_NE: 168.0686 - val_loss: 1.9039 - val_tf_pmse_DA: 1187.8581 - val_tf_pmse_5HT: 1190.2250 - val_tf_pmse_pH: 0.2981 - val_tf_pmse_NE: 1268.3232\n",
      "Epoch 80/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0258 - tf_pmse_DA: 144.9631 - tf_pmse_5HT: 206.2924 - tf_pmse_pH: 0.0354 - tf_pmse_NE: 169.1952 - val_loss: 1.8557 - val_tf_pmse_DA: 1299.5495 - val_tf_pmse_5HT: 1165.8137 - val_tf_pmse_pH: 0.3008 - val_tf_pmse_NE: 1213.6439\n",
      "Epoch 81/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0249 - tf_pmse_DA: 143.3055 - tf_pmse_5HT: 200.6590 - tf_pmse_pH: 0.0347 - tf_pmse_NE: 165.5602 - val_loss: 1.9850 - val_tf_pmse_DA: 1215.6483 - val_tf_pmse_5HT: 1373.4933 - val_tf_pmse_pH: 0.2819 - val_tf_pmse_NE: 1185.4550\n",
      "Epoch 82/100\n",
      "39600/39600 [==============================] - 37s 926us/step - loss: 0.0233 - tf_pmse_DA: 136.1379 - tf_pmse_5HT: 193.7171 - tf_pmse_pH: 0.0348 - tf_pmse_NE: 159.8341 - val_loss: 1.9325 - val_tf_pmse_DA: 1226.7808 - val_tf_pmse_5HT: 1321.9543 - val_tf_pmse_pH: 0.2986 - val_tf_pmse_NE: 1198.6008\n",
      "Epoch 83/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0250 - tf_pmse_DA: 146.2046 - tf_pmse_5HT: 199.8010 - tf_pmse_pH: 0.0345 - tf_pmse_NE: 166.0702 - val_loss: 1.9888 - val_tf_pmse_DA: 1204.3921 - val_tf_pmse_5HT: 1262.9757 - val_tf_pmse_pH: 0.2898 - val_tf_pmse_NE: 1280.3800\n",
      "Epoch 84/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0227 - tf_pmse_DA: 136.8528 - tf_pmse_5HT: 188.6166 - tf_pmse_pH: 0.0358 - tf_pmse_NE: 154.2464 - val_loss: 1.9893 - val_tf_pmse_DA: 1278.6788 - val_tf_pmse_5HT: 1213.0050 - val_tf_pmse_pH: 0.2906 - val_tf_pmse_NE: 1220.7478\n",
      "Epoch 85/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0235 - tf_pmse_DA: 141.4259 - tf_pmse_5HT: 196.1093 - tf_pmse_pH: 0.0343 - tf_pmse_NE: 157.1940 - val_loss: 1.8866 - val_tf_pmse_DA: 1173.0092 - val_tf_pmse_5HT: 1245.0369 - val_tf_pmse_pH: 0.2942 - val_tf_pmse_NE: 1251.3617\n",
      "Epoch 86/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0246 - tf_pmse_DA: 146.9023 - tf_pmse_5HT: 194.7003 - tf_pmse_pH: 0.0364 - tf_pmse_NE: 161.8677 - val_loss: 1.7597 - val_tf_pmse_DA: 1144.7319 - val_tf_pmse_5HT: 1166.9074 - val_tf_pmse_pH: 0.3027 - val_tf_pmse_NE: 1165.0274\n",
      "Epoch 87/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0230 - tf_pmse_DA: 146.6984 - tf_pmse_5HT: 189.2641 - tf_pmse_pH: 0.0330 - tf_pmse_NE: 156.9698 - val_loss: 2.0315 - val_tf_pmse_DA: 1223.7281 - val_tf_pmse_5HT: 1320.2772 - val_tf_pmse_pH: 0.2996 - val_tf_pmse_NE: 1263.5045\n",
      "Epoch 88/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0225 - tf_pmse_DA: 136.8237 - tf_pmse_5HT: 184.8242 - tf_pmse_pH: 0.0341 - tf_pmse_NE: 160.8571 - val_loss: 1.8894 - val_tf_pmse_DA: 1193.6693 - val_tf_pmse_5HT: 1123.5119 - val_tf_pmse_pH: 0.2956 - val_tf_pmse_NE: 1254.4386\n",
      "Epoch 89/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0227 - tf_pmse_DA: 135.1217 - tf_pmse_5HT: 189.0776 - tf_pmse_pH: 0.0343 - tf_pmse_NE: 158.7441 - val_loss: 1.9462 - val_tf_pmse_DA: 1190.4348 - val_tf_pmse_5HT: 1294.8047 - val_tf_pmse_pH: 0.2838 - val_tf_pmse_NE: 1217.2736\n",
      "Epoch 90/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0226 - tf_pmse_DA: 137.0876 - tf_pmse_5HT: 188.7478 - tf_pmse_pH: 0.0338 - tf_pmse_NE: 157.5124 - val_loss: 1.9665 - val_tf_pmse_DA: 1230.3074 - val_tf_pmse_5HT: 1210.8417 - val_tf_pmse_pH: 0.3407 - val_tf_pmse_NE: 1222.0754\n",
      "Epoch 91/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0225 - tf_pmse_DA: 142.2569 - tf_pmse_5HT: 182.1619 - tf_pmse_pH: 0.0348 - tf_pmse_NE: 156.6763 - val_loss: 1.9638 - val_tf_pmse_DA: 1182.7023 - val_tf_pmse_5HT: 1120.2353 - val_tf_pmse_pH: 0.3630 - val_tf_pmse_NE: 1408.7825\n",
      "Epoch 92/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0220 - tf_pmse_DA: 142.2405 - tf_pmse_5HT: 186.4875 - tf_pmse_pH: 0.0319 - tf_pmse_NE: 153.2116 - val_loss: 1.9698 - val_tf_pmse_DA: 1252.0404 - val_tf_pmse_5HT: 1334.7838 - val_tf_pmse_pH: 0.3035 - val_tf_pmse_NE: 1408.8304\n",
      "Epoch 93/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0225 - tf_pmse_DA: 140.1085 - tf_pmse_5HT: 189.8344 - tf_pmse_pH: 0.0314 - tf_pmse_NE: 157.7835 - val_loss: 2.1437 - val_tf_pmse_DA: 1361.1993 - val_tf_pmse_5HT: 1354.1677 - val_tf_pmse_pH: 0.3251 - val_tf_pmse_NE: 1319.6747\n",
      "Epoch 94/100\n",
      "39600/39600 [==============================] - 37s 925us/step - loss: 0.0227 - tf_pmse_DA: 137.8137 - tf_pmse_5HT: 188.3679 - tf_pmse_pH: 0.0329 - tf_pmse_NE: 160.2493 - val_loss: 2.0423 - val_tf_pmse_DA: 1350.5523 - val_tf_pmse_5HT: 1246.3348 - val_tf_pmse_pH: 0.3124 - val_tf_pmse_NE: 1354.3356\n",
      "Epoch 95/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0230 - tf_pmse_DA: 137.8822 - tf_pmse_5HT: 191.7887 - tf_pmse_pH: 0.0345 - tf_pmse_NE: 157.0689 - val_loss: 1.8659 - val_tf_pmse_DA: 1204.5512 - val_tf_pmse_5HT: 1128.1344 - val_tf_pmse_pH: 0.3019 - val_tf_pmse_NE: 1266.5043\n",
      "Epoch 96/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0240 - tf_pmse_DA: 141.5234 - tf_pmse_5HT: 197.2071 - tf_pmse_pH: 0.0352 - tf_pmse_NE: 159.0282 - val_loss: 1.8380 - val_tf_pmse_DA: 1176.8211 - val_tf_pmse_5HT: 1190.8352 - val_tf_pmse_pH: 0.2911 - val_tf_pmse_NE: 1246.9447\n",
      "Epoch 97/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0209 - tf_pmse_DA: 133.0621 - tf_pmse_5HT: 182.6556 - tf_pmse_pH: 0.0323 - tf_pmse_NE: 150.4587 - val_loss: 1.7819 - val_tf_pmse_DA: 1186.7893 - val_tf_pmse_5HT: 1089.4512 - val_tf_pmse_pH: 0.2875 - val_tf_pmse_NE: 1235.1029\n",
      "Epoch 98/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0218 - tf_pmse_DA: 135.4135 - tf_pmse_5HT: 185.4783 - tf_pmse_pH: 0.0335 - tf_pmse_NE: 154.8823 - val_loss: 1.9682 - val_tf_pmse_DA: 1333.0661 - val_tf_pmse_5HT: 1214.7474 - val_tf_pmse_pH: 0.3083 - val_tf_pmse_NE: 1220.7010\n",
      "Epoch 99/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0217 - tf_pmse_DA: 136.1745 - tf_pmse_5HT: 182.4079 - tf_pmse_pH: 0.0333 - tf_pmse_NE: 155.9390 - val_loss: 1.9216 - val_tf_pmse_DA: 1207.8702 - val_tf_pmse_5HT: 1172.2310 - val_tf_pmse_pH: 0.3035 - val_tf_pmse_NE: 1266.4129\n",
      "Epoch 100/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0219 - tf_pmse_DA: 135.0215 - tf_pmse_5HT: 180.5366 - tf_pmse_pH: 0.0346 - tf_pmse_NE: 157.0078 - val_loss: 1.8853 - val_tf_pmse_DA: 1189.1244 - val_tf_pmse_5HT: 1130.4884 - val_tf_pmse_pH: 0.3038 - val_tf_pmse_NE: 1299.1583\n",
      "predicting test set... done.\n"
     ]
    },
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       "      <th>rmse_DA</th>\n",
       "      <th>rmse_5HT</th>\n",
       "      <th>rmse_pH</th>\n",
       "      <th>rmse_NE</th>\n",
       "      <th>duration</th>\n",
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     "text": [
      "probe MMA022W01R04 (4 out of 7)\n",
      "loading previous weights...\n",
      "mini batch size: 128\n",
      "Train on 39600 samples, validate on 39600 samples\n",
      "Epoch 1/100\n",
      "39600/39600 [==============================] - 45s 1ms/step - loss: 9.1653 - tf_pmse_DA: 2079.8698 - tf_pmse_5HT: 1682.7916 - tf_pmse_pH: 0.6637 - tf_pmse_NE: 1888.8725 - val_loss: 6.8932 - val_tf_pmse_DA: 2701.4698 - val_tf_pmse_5HT: 2141.4719 - val_tf_pmse_pH: 0.8523 - val_tf_pmse_NE: 2525.7341\n",
      "Epoch 2/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.2935 - tf_pmse_DA: 675.1052 - tf_pmse_5HT: 666.0534 - tf_pmse_pH: 0.1145 - tf_pmse_NE: 451.8516 - val_loss: 3.5240 - val_tf_pmse_DA: 1602.1471 - val_tf_pmse_5HT: 848.5009 - val_tf_pmse_pH: 0.7395 - val_tf_pmse_NE: 1606.9764\n",
      "Epoch 3/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.1511 - tf_pmse_DA: 499.0865 - tf_pmse_5HT: 453.6988 - tf_pmse_pH: 0.0765 - tf_pmse_NE: 353.1438 - val_loss: 1.9218 - val_tf_pmse_DA: 1549.3547 - val_tf_pmse_5HT: 935.7601 - val_tf_pmse_pH: 0.3214 - val_tf_pmse_NE: 1087.4315\n",
      "Epoch 4/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0958 - tf_pmse_DA: 381.7250 - tf_pmse_5HT: 353.4434 - tf_pmse_pH: 0.0662 - tf_pmse_NE: 297.3289 - val_loss: 1.8058 - val_tf_pmse_DA: 1058.9668 - val_tf_pmse_5HT: 1584.8536 - val_tf_pmse_pH: 0.2779 - val_tf_pmse_NE: 1019.5984\n",
      "Epoch 5/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0715 - tf_pmse_DA: 325.7418 - tf_pmse_5HT: 310.8912 - tf_pmse_pH: 0.0574 - tf_pmse_NE: 253.4214 - val_loss: 1.6974 - val_tf_pmse_DA: 1083.6621 - val_tf_pmse_5HT: 1494.7288 - val_tf_pmse_pH: 0.3069 - val_tf_pmse_NE: 913.8581\n",
      "Epoch 6/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0603 - tf_pmse_DA: 293.7560 - tf_pmse_5HT: 285.5837 - tf_pmse_pH: 0.0531 - tf_pmse_NE: 235.7050 - val_loss: 1.8513 - val_tf_pmse_DA: 1069.8995 - val_tf_pmse_5HT: 1482.9287 - val_tf_pmse_pH: 0.4026 - val_tf_pmse_NE: 913.8959\n",
      "Epoch 7/100\n",
      "39600/39600 [==============================] - 37s 938us/step - loss: 0.0525 - tf_pmse_DA: 273.2246 - tf_pmse_5HT: 268.5707 - tf_pmse_pH: 0.0508 - tf_pmse_NE: 215.1156 - val_loss: 1.5605 - val_tf_pmse_DA: 1128.1004 - val_tf_pmse_5HT: 1205.0027 - val_tf_pmse_pH: 0.3643 - val_tf_pmse_NE: 1029.0307\n",
      "Epoch 8/100\n",
      "39600/39600 [==============================] - 37s 939us/step - loss: 0.0461 - tf_pmse_DA: 253.3969 - tf_pmse_5HT: 250.2155 - tf_pmse_pH: 0.0477 - tf_pmse_NE: 204.8655 - val_loss: 1.2740 - val_tf_pmse_DA: 1075.0172 - val_tf_pmse_5HT: 1116.4985 - val_tf_pmse_pH: 0.2339 - val_tf_pmse_NE: 915.8313\n",
      "Epoch 9/100\n",
      "39600/39600 [==============================] - 37s 939us/step - loss: 0.0453 - tf_pmse_DA: 248.5556 - tf_pmse_5HT: 249.0836 - tf_pmse_pH: 0.0482 - tf_pmse_NE: 198.5333 - val_loss: 1.6130 - val_tf_pmse_DA: 1258.0317 - val_tf_pmse_5HT: 1006.8045 - val_tf_pmse_pH: 0.3410 - val_tf_pmse_NE: 912.9876\n",
      "Epoch 10/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0405 - tf_pmse_DA: 237.0411 - tf_pmse_5HT: 237.0630 - tf_pmse_pH: 0.0449 - tf_pmse_NE: 184.7502 - val_loss: 2.1024 - val_tf_pmse_DA: 1545.4067 - val_tf_pmse_5HT: 1347.0963 - val_tf_pmse_pH: 0.3327 - val_tf_pmse_NE: 948.2394\n",
      "Epoch 11/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0405 - tf_pmse_DA: 236.3649 - tf_pmse_5HT: 236.1345 - tf_pmse_pH: 0.0439 - tf_pmse_NE: 187.9514 - val_loss: 2.2689 - val_tf_pmse_DA: 1194.3068 - val_tf_pmse_5HT: 1664.2859 - val_tf_pmse_pH: 0.4381 - val_tf_pmse_NE: 1053.9371\n",
      "Epoch 12/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0374 - tf_pmse_DA: 223.0582 - tf_pmse_5HT: 223.9734 - tf_pmse_pH: 0.0441 - tf_pmse_NE: 184.1552 - val_loss: 1.9187 - val_tf_pmse_DA: 1139.3973 - val_tf_pmse_5HT: 1409.0677 - val_tf_pmse_pH: 0.2976 - val_tf_pmse_NE: 1214.4078\n",
      "Epoch 13/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0368 - tf_pmse_DA: 221.4735 - tf_pmse_5HT: 222.0209 - tf_pmse_pH: 0.0442 - tf_pmse_NE: 181.1840 - val_loss: 2.1098 - val_tf_pmse_DA: 1276.4867 - val_tf_pmse_5HT: 896.6724 - val_tf_pmse_pH: 0.4813 - val_tf_pmse_NE: 1126.5634\n",
      "Epoch 14/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0342 - tf_pmse_DA: 215.8012 - tf_pmse_5HT: 211.0242 - tf_pmse_pH: 0.0436 - tf_pmse_NE: 171.8587 - val_loss: 2.4190 - val_tf_pmse_DA: 1136.9774 - val_tf_pmse_5HT: 1031.2149 - val_tf_pmse_pH: 0.5313 - val_tf_pmse_NE: 1503.3319\n",
      "Epoch 15/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0348 - tf_pmse_DA: 214.7468 - tf_pmse_5HT: 212.5621 - tf_pmse_pH: 0.0425 - tf_pmse_NE: 177.1102 - val_loss: 1.9505 - val_tf_pmse_DA: 1074.6620 - val_tf_pmse_5HT: 933.4038 - val_tf_pmse_pH: 0.4183 - val_tf_pmse_NE: 1454.9511\n",
      "Epoch 16/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0333 - tf_pmse_DA: 205.9646 - tf_pmse_5HT: 208.6129 - tf_pmse_pH: 0.0424 - tf_pmse_NE: 175.7255 - val_loss: 1.3684 - val_tf_pmse_DA: 1101.3422 - val_tf_pmse_5HT: 849.6470 - val_tf_pmse_pH: 0.3557 - val_tf_pmse_NE: 889.2860\n",
      "Epoch 17/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0329 - tf_pmse_DA: 206.8053 - tf_pmse_5HT: 207.6375 - tf_pmse_pH: 0.0408 - tf_pmse_NE: 174.1796 - val_loss: 2.0055 - val_tf_pmse_DA: 1043.8430 - val_tf_pmse_5HT: 864.0582 - val_tf_pmse_pH: 0.3799 - val_tf_pmse_NE: 1593.6743\n",
      "Epoch 18/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0297 - tf_pmse_DA: 197.6526 - tf_pmse_5HT: 194.3585 - tf_pmse_pH: 0.0398 - tf_pmse_NE: 164.7987 - val_loss: 2.8537 - val_tf_pmse_DA: 1201.6097 - val_tf_pmse_5HT: 1552.4544 - val_tf_pmse_pH: 0.4862 - val_tf_pmse_NE: 1707.7479\n",
      "Epoch 19/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0311 - tf_pmse_DA: 201.4545 - tf_pmse_5HT: 197.5166 - tf_pmse_pH: 0.0422 - tf_pmse_NE: 167.2898 - val_loss: 2.4130 - val_tf_pmse_DA: 1201.8468 - val_tf_pmse_5HT: 872.3283 - val_tf_pmse_pH: 0.4716 - val_tf_pmse_NE: 1674.2978\n",
      "Epoch 20/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0302 - tf_pmse_DA: 196.9350 - tf_pmse_5HT: 197.5235 - tf_pmse_pH: 0.0400 - tf_pmse_NE: 165.2388 - val_loss: 1.8965 - val_tf_pmse_DA: 1036.2413 - val_tf_pmse_5HT: 884.9434 - val_tf_pmse_pH: 0.4091 - val_tf_pmse_NE: 1361.1262\n",
      "Epoch 21/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0284 - tf_pmse_DA: 186.6355 - tf_pmse_5HT: 187.9654 - tf_pmse_pH: 0.0421 - tf_pmse_NE: 159.5358 - val_loss: 1.8155 - val_tf_pmse_DA: 1081.0195 - val_tf_pmse_5HT: 900.3156 - val_tf_pmse_pH: 0.4108 - val_tf_pmse_NE: 1143.6298\n",
      "Epoch 22/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0294 - tf_pmse_DA: 195.0425 - tf_pmse_5HT: 192.3856 - tf_pmse_pH: 0.0410 - tf_pmse_NE: 160.6869 - val_loss: 2.5826 - val_tf_pmse_DA: 1555.0900 - val_tf_pmse_5HT: 911.3628 - val_tf_pmse_pH: 0.4892 - val_tf_pmse_NE: 1325.4551\n",
      "Epoch 23/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0299 - tf_pmse_DA: 191.3137 - tf_pmse_5HT: 188.7853 - tf_pmse_pH: 0.0445 - tf_pmse_NE: 165.3539 - val_loss: 2.5574 - val_tf_pmse_DA: 1415.3926 - val_tf_pmse_5HT: 1000.7733 - val_tf_pmse_pH: 0.4349 - val_tf_pmse_NE: 1550.7903\n",
      "Epoch 24/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0273 - tf_pmse_DA: 185.3364 - tf_pmse_5HT: 186.3260 - tf_pmse_pH: 0.0396 - tf_pmse_NE: 155.5479 - val_loss: 2.0661 - val_tf_pmse_DA: 1151.3620 - val_tf_pmse_5HT: 888.4666 - val_tf_pmse_pH: 0.3790 - val_tf_pmse_NE: 1520.9253\n",
      "Epoch 25/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0263 - tf_pmse_DA: 185.2339 - tf_pmse_5HT: 183.7130 - tf_pmse_pH: 0.0387 - tf_pmse_NE: 151.1869 - val_loss: 3.2179 - val_tf_pmse_DA: 1232.7208 - val_tf_pmse_5HT: 1030.3900 - val_tf_pmse_pH: 0.6414 - val_tf_pmse_NE: 1779.8962\n",
      "Epoch 26/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0266 - tf_pmse_DA: 184.4387 - tf_pmse_5HT: 178.7093 - tf_pmse_pH: 0.0410 - tf_pmse_NE: 153.5602 - val_loss: 2.5097 - val_tf_pmse_DA: 1220.0466 - val_tf_pmse_5HT: 1021.2582 - val_tf_pmse_pH: 0.5599 - val_tf_pmse_NE: 1143.5695\n",
      "Epoch 27/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0264 - tf_pmse_DA: 185.7168 - tf_pmse_5HT: 176.1864 - tf_pmse_pH: 0.0399 - tf_pmse_NE: 153.6195 - val_loss: 2.7296 - val_tf_pmse_DA: 1405.7529 - val_tf_pmse_5HT: 869.5288 - val_tf_pmse_pH: 0.4093 - val_tf_pmse_NE: 1982.8296\n",
      "Epoch 28/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0269 - tf_pmse_DA: 183.3447 - tf_pmse_5HT: 181.2006 - tf_pmse_pH: 0.0411 - tf_pmse_NE: 153.0609 - val_loss: 2.4011 - val_tf_pmse_DA: 1166.1263 - val_tf_pmse_5HT: 884.7760 - val_tf_pmse_pH: 0.4968 - val_tf_pmse_NE: 1572.5839\n",
      "Epoch 29/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0246 - tf_pmse_DA: 176.3536 - tf_pmse_5HT: 173.7353 - tf_pmse_pH: 0.0382 - tf_pmse_NE: 148.1725 - val_loss: 2.1337 - val_tf_pmse_DA: 967.8005 - val_tf_pmse_5HT: 1001.3548 - val_tf_pmse_pH: 0.4178 - val_tf_pmse_NE: 1543.2681\n",
      "Epoch 30/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0258 - tf_pmse_DA: 182.6495 - tf_pmse_5HT: 175.4388 - tf_pmse_pH: 0.0370 - tf_pmse_NE: 158.7651 - val_loss: 2.1802 - val_tf_pmse_DA: 979.7788 - val_tf_pmse_5HT: 881.2374 - val_tf_pmse_pH: 0.4354 - val_tf_pmse_NE: 1716.7261\n",
      "Epoch 31/100\n",
      "39600/39600 [==============================] - 37s 926us/step - loss: 0.0244 - tf_pmse_DA: 176.3592 - tf_pmse_5HT: 174.3464 - tf_pmse_pH: 0.0369 - tf_pmse_NE: 147.6802 - val_loss: 2.3854 - val_tf_pmse_DA: 993.7585 - val_tf_pmse_5HT: 888.9439 - val_tf_pmse_pH: 0.5143 - val_tf_pmse_NE: 1575.4115\n",
      "Epoch 32/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0234 - tf_pmse_DA: 168.7197 - tf_pmse_5HT: 165.5849 - tf_pmse_pH: 0.0384 - tf_pmse_NE: 148.4473 - val_loss: 2.7519 - val_tf_pmse_DA: 983.8831 - val_tf_pmse_5HT: 934.7166 - val_tf_pmse_pH: 0.5165 - val_tf_pmse_NE: 1965.8713\n",
      "Epoch 33/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0236 - tf_pmse_DA: 175.8978 - tf_pmse_5HT: 167.1299 - tf_pmse_pH: 0.0369 - tf_pmse_NE: 146.8563 - val_loss: 2.2815 - val_tf_pmse_DA: 1275.6888 - val_tf_pmse_5HT: 931.4163 - val_tf_pmse_pH: 0.3724 - val_tf_pmse_NE: 1684.0546\n",
      "Epoch 34/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0239 - tf_pmse_DA: 171.4881 - tf_pmse_5HT: 171.2845 - tf_pmse_pH: 0.0378 - tf_pmse_NE: 148.3948 - val_loss: 3.6994 - val_tf_pmse_DA: 1276.0783 - val_tf_pmse_5HT: 850.4952 - val_tf_pmse_pH: 0.6874 - val_tf_pmse_NE: 2275.6798\n",
      "Epoch 35/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0239 - tf_pmse_DA: 170.6461 - tf_pmse_5HT: 172.1156 - tf_pmse_pH: 0.0371 - tf_pmse_NE: 147.4948 - val_loss: 2.5184 - val_tf_pmse_DA: 943.7738 - val_tf_pmse_5HT: 962.4404 - val_tf_pmse_pH: 0.5869 - val_tf_pmse_NE: 1469.8175\n",
      "Epoch 36/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0233 - tf_pmse_DA: 170.1555 - tf_pmse_5HT: 167.3013 - tf_pmse_pH: 0.0365 - tf_pmse_NE: 149.2034 - val_loss: 2.5390 - val_tf_pmse_DA: 1011.8230 - val_tf_pmse_5HT: 893.5895 - val_tf_pmse_pH: 0.4979 - val_tf_pmse_NE: 1790.8624\n",
      "Epoch 37/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0218 - tf_pmse_DA: 161.1288 - tf_pmse_5HT: 163.3593 - tf_pmse_pH: 0.0369 - tf_pmse_NE: 138.6471 - val_loss: 2.2014 - val_tf_pmse_DA: 963.7666 - val_tf_pmse_5HT: 910.0327 - val_tf_pmse_pH: 0.4997 - val_tf_pmse_NE: 1388.6326\n",
      "Epoch 38/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0214 - tf_pmse_DA: 159.3262 - tf_pmse_5HT: 155.5857 - tf_pmse_pH: 0.0382 - tf_pmse_NE: 141.9065 - val_loss: 2.8824 - val_tf_pmse_DA: 1012.2430 - val_tf_pmse_5HT: 855.4547 - val_tf_pmse_pH: 0.6729 - val_tf_pmse_NE: 1615.9495\n",
      "Epoch 39/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.0229 - tf_pmse_DA: 174.3297 - tf_pmse_5HT: 163.9937 - tf_pmse_pH: 0.0365 - tf_pmse_NE: 140.9784 - val_loss: 2.7846 - val_tf_pmse_DA: 930.5408 - val_tf_pmse_5HT: 911.3102 - val_tf_pmse_pH: 0.5901 - val_tf_pmse_NE: 1875.9238\n",
      "Epoch 40/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0228 - tf_pmse_DA: 171.0365 - tf_pmse_5HT: 162.7888 - tf_pmse_pH: 0.0368 - tf_pmse_NE: 144.4581 - val_loss: 1.7758 - val_tf_pmse_DA: 936.0550 - val_tf_pmse_5HT: 872.1943 - val_tf_pmse_pH: 0.4433 - val_tf_pmse_NE: 1046.7774\n",
      "Epoch 41/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0227 - tf_pmse_DA: 167.5298 - tf_pmse_5HT: 160.5177 - tf_pmse_pH: 0.0378 - tf_pmse_NE: 144.7178 - val_loss: 2.0196 - val_tf_pmse_DA: 936.9531 - val_tf_pmse_5HT: 912.4642 - val_tf_pmse_pH: 0.4803 - val_tf_pmse_NE: 1374.8269\n",
      "Epoch 42/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0231 - tf_pmse_DA: 159.9062 - tf_pmse_5HT: 169.0154 - tf_pmse_pH: 0.0396 - tf_pmse_NE: 142.7325 - val_loss: 1.7213 - val_tf_pmse_DA: 957.6379 - val_tf_pmse_5HT: 916.3020 - val_tf_pmse_pH: 0.3626 - val_tf_pmse_NE: 1242.5392\n",
      "Epoch 43/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0208 - tf_pmse_DA: 158.0687 - tf_pmse_5HT: 154.6950 - tf_pmse_pH: 0.0353 - tf_pmse_NE: 142.1777 - val_loss: 2.8243 - val_tf_pmse_DA: 985.2542 - val_tf_pmse_5HT: 917.1643 - val_tf_pmse_pH: 0.6205 - val_tf_pmse_NE: 1704.5879\n",
      "Epoch 44/100\n",
      "39600/39600 [==============================] - 37s 942us/step - loss: 0.0205 - tf_pmse_DA: 154.8778 - tf_pmse_5HT: 157.3346 - tf_pmse_pH: 0.0360 - tf_pmse_NE: 136.4593 - val_loss: 2.1370 - val_tf_pmse_DA: 924.1569 - val_tf_pmse_5HT: 879.8615 - val_tf_pmse_pH: 0.4551 - val_tf_pmse_NE: 1565.2050\n",
      "Epoch 45/100\n",
      "39600/39600 [==============================] - 37s 940us/step - loss: 0.0202 - tf_pmse_DA: 159.1248 - tf_pmse_5HT: 154.6712 - tf_pmse_pH: 0.0345 - tf_pmse_NE: 133.9958 - val_loss: 2.8534 - val_tf_pmse_DA: 998.6926 - val_tf_pmse_5HT: 1229.3595 - val_tf_pmse_pH: 0.5136 - val_tf_pmse_NE: 1846.3061\n",
      "Epoch 46/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.0213 - tf_pmse_DA: 157.9754 - tf_pmse_5HT: 159.7548 - tf_pmse_pH: 0.0365 - tf_pmse_NE: 138.8758 - val_loss: 2.3521 - val_tf_pmse_DA: 1258.8063 - val_tf_pmse_5HT: 865.9957 - val_tf_pmse_pH: 0.3957 - val_tf_pmse_NE: 1718.6075\n",
      "Epoch 47/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0206 - tf_pmse_DA: 158.4254 - tf_pmse_5HT: 158.4754 - tf_pmse_pH: 0.0350 - tf_pmse_NE: 137.9076 - val_loss: 3.7704 - val_tf_pmse_DA: 1561.1340 - val_tf_pmse_5HT: 873.5178 - val_tf_pmse_pH: 0.6638 - val_tf_pmse_NE: 2190.8219\n",
      "Epoch 48/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0215 - tf_pmse_DA: 166.1863 - tf_pmse_5HT: 157.9982 - tf_pmse_pH: 0.0359 - tf_pmse_NE: 136.4136 - val_loss: 2.0504 - val_tf_pmse_DA: 969.9837 - val_tf_pmse_5HT: 934.2877 - val_tf_pmse_pH: 0.5373 - val_tf_pmse_NE: 1070.0304\n",
      "Epoch 49/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0196 - tf_pmse_DA: 154.1559 - tf_pmse_5HT: 151.3551 - tf_pmse_pH: 0.0341 - tf_pmse_NE: 137.9702 - val_loss: 2.5592 - val_tf_pmse_DA: 934.2206 - val_tf_pmse_5HT: 1132.2594 - val_tf_pmse_pH: 0.5402 - val_tf_pmse_NE: 1607.3585\n",
      "Epoch 50/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0180 - tf_pmse_DA: 150.5857 - tf_pmse_5HT: 143.5233 - tf_pmse_pH: 0.0351 - tf_pmse_NE: 123.3369 - val_loss: 2.5946 - val_tf_pmse_DA: 906.4767 - val_tf_pmse_5HT: 931.2331 - val_tf_pmse_pH: 0.5788 - val_tf_pmse_NE: 1684.9828\n",
      "Epoch 51/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0212 - tf_pmse_DA: 159.0593 - tf_pmse_5HT: 155.9586 - tf_pmse_pH: 0.0361 - tf_pmse_NE: 141.2100 - val_loss: 3.0592 - val_tf_pmse_DA: 1184.1624 - val_tf_pmse_5HT: 909.4535 - val_tf_pmse_pH: 0.6420 - val_tf_pmse_NE: 1712.9852\n",
      "Epoch 52/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0197 - tf_pmse_DA: 158.4610 - tf_pmse_5HT: 157.8376 - tf_pmse_pH: 0.0342 - tf_pmse_NE: 129.3950 - val_loss: 2.4921 - val_tf_pmse_DA: 918.3929 - val_tf_pmse_5HT: 875.0293 - val_tf_pmse_pH: 0.5467 - val_tf_pmse_NE: 1691.3200\n",
      "Epoch 53/100\n",
      "39600/39600 [==============================] - 37s 926us/step - loss: 0.0192 - tf_pmse_DA: 152.2536 - tf_pmse_5HT: 148.2748 - tf_pmse_pH: 0.0342 - tf_pmse_NE: 133.3813 - val_loss: 2.8177 - val_tf_pmse_DA: 1092.7787 - val_tf_pmse_5HT: 1030.6015 - val_tf_pmse_pH: 0.5203 - val_tf_pmse_NE: 1827.0733\n",
      "Epoch 54/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0195 - tf_pmse_DA: 155.2708 - tf_pmse_5HT: 150.1998 - tf_pmse_pH: 0.0355 - tf_pmse_NE: 131.2451 - val_loss: 2.8644 - val_tf_pmse_DA: 968.6584 - val_tf_pmse_5HT: 1107.8281 - val_tf_pmse_pH: 0.6191 - val_tf_pmse_NE: 1578.4858\n",
      "Epoch 55/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0209 - tf_pmse_DA: 160.4128 - tf_pmse_5HT: 154.8923 - tf_pmse_pH: 0.0362 - tf_pmse_NE: 137.3560 - val_loss: 2.8542 - val_tf_pmse_DA: 1061.5018 - val_tf_pmse_5HT: 1003.7045 - val_tf_pmse_pH: 0.5932 - val_tf_pmse_NE: 1678.0819\n",
      "Epoch 56/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0201 - tf_pmse_DA: 159.3426 - tf_pmse_5HT: 151.7353 - tf_pmse_pH: 0.0355 - tf_pmse_NE: 133.7325 - val_loss: 2.6985 - val_tf_pmse_DA: 930.9156 - val_tf_pmse_5HT: 1040.7834 - val_tf_pmse_pH: 0.5661 - val_tf_pmse_NE: 1693.7010\n",
      "Epoch 57/100\n",
      "39600/39600 [==============================] - 37s 938us/step - loss: 0.0188 - tf_pmse_DA: 150.5553 - tf_pmse_5HT: 150.7273 - tf_pmse_pH: 0.0330 - tf_pmse_NE: 131.9856 - val_loss: 2.3941 - val_tf_pmse_DA: 916.6791 - val_tf_pmse_5HT: 911.7450 - val_tf_pmse_pH: 0.5984 - val_tf_pmse_NE: 1302.0212\n",
      "Epoch 58/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0196 - tf_pmse_DA: 151.6325 - tf_pmse_5HT: 155.3458 - tf_pmse_pH: 0.0365 - tf_pmse_NE: 129.7709 - val_loss: 3.0508 - val_tf_pmse_DA: 1030.4344 - val_tf_pmse_5HT: 908.8267 - val_tf_pmse_pH: 0.7098 - val_tf_pmse_NE: 1539.2196\n",
      "Epoch 59/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0189 - tf_pmse_DA: 152.6659 - tf_pmse_5HT: 145.0827 - tf_pmse_pH: 0.0360 - tf_pmse_NE: 128.6067 - val_loss: 2.7832 - val_tf_pmse_DA: 1170.6132 - val_tf_pmse_5HT: 1111.5309 - val_tf_pmse_pH: 0.6013 - val_tf_pmse_NE: 1300.8266\n",
      "Epoch 60/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0183 - tf_pmse_DA: 148.6064 - tf_pmse_5HT: 144.5642 - tf_pmse_pH: 0.0345 - tf_pmse_NE: 128.9904 - val_loss: 2.7138 - val_tf_pmse_DA: 1036.4129 - val_tf_pmse_5HT: 960.7689 - val_tf_pmse_pH: 0.6074 - val_tf_pmse_NE: 1470.8603\n",
      "Epoch 61/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0193 - tf_pmse_DA: 151.8622 - tf_pmse_5HT: 150.5422 - tf_pmse_pH: 0.0346 - tf_pmse_NE: 132.9591 - val_loss: 2.7183 - val_tf_pmse_DA: 936.9148 - val_tf_pmse_5HT: 983.0310 - val_tf_pmse_pH: 0.6286 - val_tf_pmse_NE: 1521.0616\n",
      "Epoch 62/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0176 - tf_pmse_DA: 144.1389 - tf_pmse_5HT: 138.6071 - tf_pmse_pH: 0.0350 - tf_pmse_NE: 127.9643 - val_loss: 3.3954 - val_tf_pmse_DA: 1183.7334 - val_tf_pmse_5HT: 1094.3147 - val_tf_pmse_pH: 0.7178 - val_tf_pmse_NE: 1644.8651\n",
      "Epoch 63/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0174 - tf_pmse_DA: 146.7214 - tf_pmse_5HT: 142.5915 - tf_pmse_pH: 0.0325 - tf_pmse_NE: 125.7882 - val_loss: 2.1666 - val_tf_pmse_DA: 1085.8658 - val_tf_pmse_5HT: 929.7844 - val_tf_pmse_pH: 0.4283 - val_tf_pmse_NE: 1360.5616\n",
      "Epoch 64/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0177 - tf_pmse_DA: 149.1294 - tf_pmse_5HT: 143.5724 - tf_pmse_pH: 0.0331 - tf_pmse_NE: 123.5106 - val_loss: 3.0268 - val_tf_pmse_DA: 1330.1914 - val_tf_pmse_5HT: 887.3862 - val_tf_pmse_pH: 0.6520 - val_tf_pmse_NE: 1531.2331\n",
      "Epoch 65/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0185 - tf_pmse_DA: 155.6309 - tf_pmse_5HT: 138.3899 - tf_pmse_pH: 0.0353 - tf_pmse_NE: 128.2099 - val_loss: 3.0675 - val_tf_pmse_DA: 1348.5956 - val_tf_pmse_5HT: 1129.4805 - val_tf_pmse_pH: 0.6290 - val_tf_pmse_NE: 1409.0406\n",
      "Epoch 66/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0179 - tf_pmse_DA: 147.0917 - tf_pmse_5HT: 143.8612 - tf_pmse_pH: 0.0343 - tf_pmse_NE: 126.1684 - val_loss: 2.9512 - val_tf_pmse_DA: 1057.7781 - val_tf_pmse_5HT: 904.3022 - val_tf_pmse_pH: 0.6921 - val_tf_pmse_NE: 1450.6316\n",
      "Epoch 67/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0176 - tf_pmse_DA: 148.0157 - tf_pmse_5HT: 141.3045 - tf_pmse_pH: 0.0345 - tf_pmse_NE: 122.9129 - val_loss: 2.8668 - val_tf_pmse_DA: 961.1976 - val_tf_pmse_5HT: 1020.1054 - val_tf_pmse_pH: 0.5824 - val_tf_pmse_NE: 1800.4914\n",
      "Epoch 68/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0168 - tf_pmse_DA: 141.7899 - tf_pmse_5HT: 143.7281 - tf_pmse_pH: 0.0301 - tf_pmse_NE: 125.0175 - val_loss: 2.5636 - val_tf_pmse_DA: 1021.8099 - val_tf_pmse_5HT: 1183.5958 - val_tf_pmse_pH: 0.5709 - val_tf_pmse_NE: 1187.2772\n",
      "Epoch 69/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0174 - tf_pmse_DA: 145.8139 - tf_pmse_5HT: 144.7282 - tf_pmse_pH: 0.0312 - tf_pmse_NE: 126.1155 - val_loss: 2.5812 - val_tf_pmse_DA: 1070.4027 - val_tf_pmse_5HT: 920.3495 - val_tf_pmse_pH: 0.6072 - val_tf_pmse_NE: 1271.3380\n",
      "Epoch 70/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0167 - tf_pmse_DA: 144.3044 - tf_pmse_5HT: 138.4380 - tf_pmse_pH: 0.0332 - tf_pmse_NE: 119.6732 - val_loss: 3.0441 - val_tf_pmse_DA: 1046.0079 - val_tf_pmse_5HT: 968.1969 - val_tf_pmse_pH: 0.6546 - val_tf_pmse_NE: 1698.7773\n",
      "Epoch 71/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0180 - tf_pmse_DA: 145.6483 - tf_pmse_5HT: 140.5767 - tf_pmse_pH: 0.0351 - tf_pmse_NE: 127.4841 - val_loss: 2.3692 - val_tf_pmse_DA: 931.7981 - val_tf_pmse_5HT: 1052.6748 - val_tf_pmse_pH: 0.5566 - val_tf_pmse_NE: 1323.9811\n",
      "Epoch 72/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0156 - tf_pmse_DA: 134.5315 - tf_pmse_5HT: 132.7631 - tf_pmse_pH: 0.0336 - tf_pmse_NE: 115.2049 - val_loss: 3.2896 - val_tf_pmse_DA: 963.0179 - val_tf_pmse_5HT: 916.5497 - val_tf_pmse_pH: 0.7731 - val_tf_pmse_NE: 1621.5405\n",
      "Epoch 73/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0175 - tf_pmse_DA: 143.9108 - tf_pmse_5HT: 136.1235 - tf_pmse_pH: 0.0346 - tf_pmse_NE: 128.4212 - val_loss: 2.5867 - val_tf_pmse_DA: 1052.5231 - val_tf_pmse_5HT: 889.4580 - val_tf_pmse_pH: 0.6004 - val_tf_pmse_NE: 1380.1990\n",
      "Epoch 74/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0166 - tf_pmse_DA: 144.0879 - tf_pmse_5HT: 139.3672 - tf_pmse_pH: 0.0323 - tf_pmse_NE: 118.0264 - val_loss: 2.9806 - val_tf_pmse_DA: 1190.1809 - val_tf_pmse_5HT: 1019.3827 - val_tf_pmse_pH: 0.6298 - val_tf_pmse_NE: 1534.6750\n",
      "Epoch 75/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0160 - tf_pmse_DA: 139.4223 - tf_pmse_5HT: 133.5909 - tf_pmse_pH: 0.0339 - tf_pmse_NE: 113.3340 - val_loss: 3.1558 - val_tf_pmse_DA: 954.4592 - val_tf_pmse_5HT: 907.2011 - val_tf_pmse_pH: 0.7613 - val_tf_pmse_NE: 1509.7193\n",
      "Epoch 76/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0166 - tf_pmse_DA: 149.4499 - tf_pmse_5HT: 139.9498 - tf_pmse_pH: 0.0307 - tf_pmse_NE: 114.5610 - val_loss: 2.9309 - val_tf_pmse_DA: 932.6310 - val_tf_pmse_5HT: 1005.6648 - val_tf_pmse_pH: 0.6880 - val_tf_pmse_NE: 1498.0511\n",
      "Epoch 77/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0160 - tf_pmse_DA: 140.0795 - tf_pmse_5HT: 136.6407 - tf_pmse_pH: 0.0321 - tf_pmse_NE: 115.6857 - val_loss: 3.1071 - val_tf_pmse_DA: 1034.2285 - val_tf_pmse_5HT: 995.4222 - val_tf_pmse_pH: 0.6628 - val_tf_pmse_NE: 1725.4374\n",
      "Epoch 78/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0166 - tf_pmse_DA: 141.9346 - tf_pmse_5HT: 142.3803 - tf_pmse_pH: 0.0326 - tf_pmse_NE: 117.0144 - val_loss: 2.6586 - val_tf_pmse_DA: 996.9420 - val_tf_pmse_5HT: 1044.8321 - val_tf_pmse_pH: 0.6522 - val_tf_pmse_NE: 1103.8886\n",
      "Epoch 79/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0167 - tf_pmse_DA: 141.3704 - tf_pmse_5HT: 136.8196 - tf_pmse_pH: 0.0336 - tf_pmse_NE: 121.4372 - val_loss: 2.9680 - val_tf_pmse_DA: 1251.4769 - val_tf_pmse_5HT: 913.8362 - val_tf_pmse_pH: 0.6508 - val_tf_pmse_NE: 1461.0125\n",
      "Epoch 80/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0146 - tf_pmse_DA: 133.4426 - tf_pmse_5HT: 131.8306 - tf_pmse_pH: 0.0292 - tf_pmse_NE: 116.5099 - val_loss: 2.7209 - val_tf_pmse_DA: 1000.3713 - val_tf_pmse_5HT: 864.5801 - val_tf_pmse_pH: 0.7232 - val_tf_pmse_NE: 1057.2901\n",
      "Epoch 81/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0165 - tf_pmse_DA: 139.4997 - tf_pmse_5HT: 139.2713 - tf_pmse_pH: 0.0337 - tf_pmse_NE: 119.8937 - val_loss: 2.7417 - val_tf_pmse_DA: 946.4725 - val_tf_pmse_5HT: 903.9906 - val_tf_pmse_pH: 0.7103 - val_tf_pmse_NE: 1180.9508\n",
      "Epoch 82/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0148 - tf_pmse_DA: 135.0309 - tf_pmse_5HT: 130.0731 - tf_pmse_pH: 0.0306 - tf_pmse_NE: 112.6844 - val_loss: 2.3151 - val_tf_pmse_DA: 921.4628 - val_tf_pmse_5HT: 859.9785 - val_tf_pmse_pH: 0.5811 - val_tf_pmse_NE: 1320.3785\n",
      "Epoch 83/100\n",
      "39600/39600 [==============================] - 37s 922us/step - loss: 0.0157 - tf_pmse_DA: 137.6762 - tf_pmse_5HT: 136.8680 - tf_pmse_pH: 0.0313 - tf_pmse_NE: 114.3135 - val_loss: 3.3325 - val_tf_pmse_DA: 1073.7461 - val_tf_pmse_5HT: 848.7255 - val_tf_pmse_pH: 0.7955 - val_tf_pmse_NE: 1544.3136\n",
      "Epoch 84/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0161 - tf_pmse_DA: 138.6051 - tf_pmse_5HT: 136.9240 - tf_pmse_pH: 0.0334 - tf_pmse_NE: 114.0650 - val_loss: 2.8700 - val_tf_pmse_DA: 1181.8879 - val_tf_pmse_5HT: 957.8223 - val_tf_pmse_pH: 0.5747 - val_tf_pmse_NE: 1670.4071\n",
      "Epoch 85/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0156 - tf_pmse_DA: 139.0014 - tf_pmse_5HT: 135.1673 - tf_pmse_pH: 0.0318 - tf_pmse_NE: 115.7136 - val_loss: 3.0911 - val_tf_pmse_DA: 917.8302 - val_tf_pmse_5HT: 941.0456 - val_tf_pmse_pH: 0.7434 - val_tf_pmse_NE: 1569.3008\n",
      "Epoch 86/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0155 - tf_pmse_DA: 139.1333 - tf_pmse_5HT: 130.4261 - tf_pmse_pH: 0.0331 - tf_pmse_NE: 112.4362 - val_loss: 3.5252 - val_tf_pmse_DA: 1548.5626 - val_tf_pmse_5HT: 961.8759 - val_tf_pmse_pH: 0.7019 - val_tf_pmse_NE: 1694.2707\n",
      "Epoch 87/100\n",
      "39600/39600 [==============================] - 37s 940us/step - loss: 0.0156 - tf_pmse_DA: 141.4057 - tf_pmse_5HT: 133.3941 - tf_pmse_pH: 0.0308 - tf_pmse_NE: 117.8266 - val_loss: 3.0560 - val_tf_pmse_DA: 1356.7840 - val_tf_pmse_5HT: 902.5188 - val_tf_pmse_pH: 0.6975 - val_tf_pmse_NE: 1270.6479\n",
      "Epoch 88/100\n",
      "39600/39600 [==============================] - 37s 938us/step - loss: 0.0158 - tf_pmse_DA: 135.9893 - tf_pmse_5HT: 130.7610 - tf_pmse_pH: 0.0341 - tf_pmse_NE: 116.1273 - val_loss: 3.7572 - val_tf_pmse_DA: 1247.1970 - val_tf_pmse_5HT: 919.3389 - val_tf_pmse_pH: 0.8471 - val_tf_pmse_NE: 1571.7602\n",
      "Epoch 89/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.0141 - tf_pmse_DA: 131.2798 - tf_pmse_5HT: 124.3004 - tf_pmse_pH: 0.0301 - tf_pmse_NE: 112.6486 - val_loss: 2.6061 - val_tf_pmse_DA: 1000.4460 - val_tf_pmse_5HT: 986.0024 - val_tf_pmse_pH: 0.5945 - val_tf_pmse_NE: 1374.0759\n",
      "Epoch 90/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0172 - tf_pmse_DA: 143.1249 - tf_pmse_5HT: 141.7331 - tf_pmse_pH: 0.0338 - tf_pmse_NE: 122.2249 - val_loss: 2.9492 - val_tf_pmse_DA: 1228.8382 - val_tf_pmse_5HT: 870.0924 - val_tf_pmse_pH: 0.6839 - val_tf_pmse_NE: 1471.4388\n",
      "Epoch 91/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0162 - tf_pmse_DA: 140.8395 - tf_pmse_5HT: 137.4203 - tf_pmse_pH: 0.0351 - tf_pmse_NE: 110.0966 - val_loss: 2.6895 - val_tf_pmse_DA: 1069.7929 - val_tf_pmse_5HT: 902.7695 - val_tf_pmse_pH: 0.6420 - val_tf_pmse_NE: 1293.8086\n",
      "Epoch 92/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0135 - tf_pmse_DA: 128.5169 - tf_pmse_5HT: 124.0006 - tf_pmse_pH: 0.0304 - tf_pmse_NE: 105.4423 - val_loss: 2.1363 - val_tf_pmse_DA: 940.6341 - val_tf_pmse_5HT: 905.9989 - val_tf_pmse_pH: 0.5486 - val_tf_pmse_NE: 1036.2549\n",
      "Epoch 93/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0146 - tf_pmse_DA: 136.5065 - tf_pmse_5HT: 128.4363 - tf_pmse_pH: 0.0298 - tf_pmse_NE: 112.8166 - val_loss: 3.3564 - val_tf_pmse_DA: 1220.9587 - val_tf_pmse_5HT: 947.5972 - val_tf_pmse_pH: 0.6982 - val_tf_pmse_NE: 1779.2367\n",
      "Epoch 94/100\n",
      "39600/39600 [==============================] - 37s 925us/step - loss: 0.0157 - tf_pmse_DA: 139.3932 - tf_pmse_5HT: 136.0121 - tf_pmse_pH: 0.0314 - tf_pmse_NE: 114.5225 - val_loss: 2.7308 - val_tf_pmse_DA: 1111.5207 - val_tf_pmse_5HT: 879.8270 - val_tf_pmse_pH: 0.6395 - val_tf_pmse_NE: 1370.0012\n",
      "Epoch 95/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0150 - tf_pmse_DA: 134.2180 - tf_pmse_5HT: 132.7492 - tf_pmse_pH: 0.0301 - tf_pmse_NE: 116.3456 - val_loss: 2.8444 - val_tf_pmse_DA: 1156.9045 - val_tf_pmse_5HT: 1206.3218 - val_tf_pmse_pH: 0.6099 - val_tf_pmse_NE: 1286.8896\n",
      "Epoch 96/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0145 - tf_pmse_DA: 131.9643 - tf_pmse_5HT: 125.0981 - tf_pmse_pH: 0.0323 - tf_pmse_NE: 112.3065 - val_loss: 3.2108 - val_tf_pmse_DA: 1091.6075 - val_tf_pmse_5HT: 934.7416 - val_tf_pmse_pH: 0.7312 - val_tf_pmse_NE: 1548.1582\n",
      "Epoch 97/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0142 - tf_pmse_DA: 130.2941 - tf_pmse_5HT: 123.3897 - tf_pmse_pH: 0.0317 - tf_pmse_NE: 110.8453 - val_loss: 2.2207 - val_tf_pmse_DA: 905.5651 - val_tf_pmse_5HT: 910.6886 - val_tf_pmse_pH: 0.5958 - val_tf_pmse_NE: 1048.4355\n",
      "Epoch 98/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0152 - tf_pmse_DA: 134.8502 - tf_pmse_5HT: 127.3787 - tf_pmse_pH: 0.0323 - tf_pmse_NE: 115.4434 - val_loss: 2.2325 - val_tf_pmse_DA: 972.6890 - val_tf_pmse_5HT: 850.0421 - val_tf_pmse_pH: 0.5141 - val_tf_pmse_NE: 1408.8672\n",
      "Epoch 99/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0157 - tf_pmse_DA: 131.7597 - tf_pmse_5HT: 137.2232 - tf_pmse_pH: 0.0323 - tf_pmse_NE: 119.2009 - val_loss: 2.6050 - val_tf_pmse_DA: 958.3457 - val_tf_pmse_5HT: 909.1283 - val_tf_pmse_pH: 0.6847 - val_tf_pmse_NE: 1058.8973\n",
      "Epoch 100/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0127 - tf_pmse_DA: 124.3979 - tf_pmse_5HT: 118.7966 - tf_pmse_pH: 0.0301 - tf_pmse_NE: 100.7417 - val_loss: 2.7148 - val_tf_pmse_DA: 915.6784 - val_tf_pmse_5HT: 978.6262 - val_tf_pmse_pH: 0.6698 - val_tf_pmse_NE: 1388.1113\n",
      "predicting test set... done.\n"
     ]
    },
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       "      <th>rmse_DA</th>\n",
       "      <th>rmse_5HT</th>\n",
       "      <th>rmse_pH</th>\n",
       "      <th>rmse_NE</th>\n",
       "      <th>duration</th>\n",
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     "text": [
      "probe MMA024W01R04 (5 out of 7)\n",
      "loading previous weights...\n",
      "mini batch size: 128\n",
      "Train on 39600 samples, validate on 39600 samples\n",
      "Epoch 1/100\n",
      "39600/39600 [==============================] - 45s 1ms/step - loss: 6.3463 - tf_pmse_DA: 1642.3681 - tf_pmse_5HT: 1420.2836 - tf_pmse_pH: 0.4500 - tf_pmse_NE: 2121.9984 - val_loss: 4.3344 - val_tf_pmse_DA: 892.2205 - val_tf_pmse_5HT: 1116.9659 - val_tf_pmse_pH: 1.0437 - val_tf_pmse_NE: 1172.6672\n",
      "Epoch 2/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.3613 - tf_pmse_DA: 683.4097 - tf_pmse_5HT: 706.6646 - tf_pmse_pH: 0.1247 - tf_pmse_NE: 640.5417 - val_loss: 3.8002 - val_tf_pmse_DA: 1081.9174 - val_tf_pmse_5HT: 965.8120 - val_tf_pmse_pH: 0.9111 - val_tf_pmse_NE: 1272.1042\n",
      "Epoch 3/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.2017 - tf_pmse_DA: 519.5278 - tf_pmse_5HT: 518.2019 - tf_pmse_pH: 0.0862 - tf_pmse_NE: 488.9188 - val_loss: 3.3957 - val_tf_pmse_DA: 948.0811 - val_tf_pmse_5HT: 1750.0451 - val_tf_pmse_pH: 0.7969 - val_tf_pmse_NE: 989.2175\n",
      "Epoch 4/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.1181 - tf_pmse_DA: 401.8678 - tf_pmse_5HT: 403.5450 - tf_pmse_pH: 0.0717 - tf_pmse_NE: 348.7902 - val_loss: 2.9212 - val_tf_pmse_DA: 964.2070 - val_tf_pmse_5HT: 1840.2492 - val_tf_pmse_pH: 0.6650 - val_tf_pmse_NE: 1027.4635\n",
      "Epoch 5/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0829 - tf_pmse_DA: 336.0076 - tf_pmse_5HT: 338.8447 - tf_pmse_pH: 0.0621 - tf_pmse_NE: 287.3876 - val_loss: 2.6274 - val_tf_pmse_DA: 941.0867 - val_tf_pmse_5HT: 1721.1530 - val_tf_pmse_pH: 0.5940 - val_tf_pmse_NE: 1032.8241\n",
      "Epoch 6/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0703 - tf_pmse_DA: 312.0207 - tf_pmse_5HT: 312.6004 - tf_pmse_pH: 0.0587 - tf_pmse_NE: 256.9449 - val_loss: 2.9394 - val_tf_pmse_DA: 926.6567 - val_tf_pmse_5HT: 2036.8390 - val_tf_pmse_pH: 0.5743 - val_tf_pmse_NE: 1239.4024\n",
      "Epoch 7/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0579 - tf_pmse_DA: 283.4374 - tf_pmse_5HT: 278.7593 - tf_pmse_pH: 0.0541 - tf_pmse_NE: 234.7522 - val_loss: 3.0899 - val_tf_pmse_DA: 947.8210 - val_tf_pmse_5HT: 2249.5184 - val_tf_pmse_pH: 0.5230 - val_tf_pmse_NE: 1054.4391\n",
      "Epoch 8/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0539 - tf_pmse_DA: 275.5794 - tf_pmse_5HT: 266.6716 - tf_pmse_pH: 0.0513 - tf_pmse_NE: 227.4790 - val_loss: 2.2089 - val_tf_pmse_DA: 984.5701 - val_tf_pmse_5HT: 1105.3324 - val_tf_pmse_pH: 0.5574 - val_tf_pmse_NE: 1142.2605\n",
      "Epoch 9/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0492 - tf_pmse_DA: 262.4965 - tf_pmse_5HT: 254.6786 - tf_pmse_pH: 0.0505 - tf_pmse_NE: 215.5595 - val_loss: 2.7637 - val_tf_pmse_DA: 1015.8620 - val_tf_pmse_5HT: 1429.0027 - val_tf_pmse_pH: 0.6492 - val_tf_pmse_NE: 1153.9438\n",
      "Epoch 10/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0494 - tf_pmse_DA: 261.6064 - tf_pmse_5HT: 254.2858 - tf_pmse_pH: 0.0507 - tf_pmse_NE: 215.3836 - val_loss: 2.0801 - val_tf_pmse_DA: 942.4902 - val_tf_pmse_5HT: 1524.3935 - val_tf_pmse_pH: 0.3205 - val_tf_pmse_NE: 1355.7220\n",
      "Epoch 11/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0433 - tf_pmse_DA: 246.1476 - tf_pmse_5HT: 235.8489 - tf_pmse_pH: 0.0486 - tf_pmse_NE: 200.5294 - val_loss: 2.5192 - val_tf_pmse_DA: 1154.4392 - val_tf_pmse_5HT: 1448.3204 - val_tf_pmse_pH: 0.5546 - val_tf_pmse_NE: 1051.8774\n",
      "Epoch 12/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0419 - tf_pmse_DA: 241.3375 - tf_pmse_5HT: 232.7677 - tf_pmse_pH: 0.0474 - tf_pmse_NE: 197.8236 - val_loss: 2.1982 - val_tf_pmse_DA: 965.4271 - val_tf_pmse_5HT: 1058.1792 - val_tf_pmse_pH: 0.5417 - val_tf_pmse_NE: 1234.3380\n",
      "Epoch 13/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0405 - tf_pmse_DA: 233.6891 - tf_pmse_5HT: 229.2361 - tf_pmse_pH: 0.0475 - tf_pmse_NE: 193.9725 - val_loss: 2.2784 - val_tf_pmse_DA: 1098.8476 - val_tf_pmse_5HT: 1325.6127 - val_tf_pmse_pH: 0.4410 - val_tf_pmse_NE: 1295.9476\n",
      "Epoch 14/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0412 - tf_pmse_DA: 235.8167 - tf_pmse_5HT: 226.5428 - tf_pmse_pH: 0.0487 - tf_pmse_NE: 197.6317 - val_loss: 2.5126 - val_tf_pmse_DA: 1053.3090 - val_tf_pmse_5HT: 1042.4468 - val_tf_pmse_pH: 0.5559 - val_tf_pmse_NE: 1386.3603\n",
      "Epoch 15/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0395 - tf_pmse_DA: 232.9060 - tf_pmse_5HT: 224.3654 - tf_pmse_pH: 0.0458 - tf_pmse_NE: 191.4322 - val_loss: 1.9107 - val_tf_pmse_DA: 1028.4431 - val_tf_pmse_5HT: 1036.4942 - val_tf_pmse_pH: 0.4117 - val_tf_pmse_NE: 1175.7856\n",
      "Epoch 16/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0383 - tf_pmse_DA: 226.5898 - tf_pmse_5HT: 225.3434 - tf_pmse_pH: 0.0467 - tf_pmse_NE: 184.7422 - val_loss: 2.5712 - val_tf_pmse_DA: 1346.5109 - val_tf_pmse_5HT: 1109.5840 - val_tf_pmse_pH: 0.5894 - val_tf_pmse_NE: 1089.2454\n",
      "Epoch 17/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0384 - tf_pmse_DA: 229.7731 - tf_pmse_5HT: 221.4612 - tf_pmse_pH: 0.0466 - tf_pmse_NE: 183.9979 - val_loss: 2.0620 - val_tf_pmse_DA: 1119.9454 - val_tf_pmse_5HT: 1023.7363 - val_tf_pmse_pH: 0.4052 - val_tf_pmse_NE: 1256.5913\n",
      "Epoch 18/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0369 - tf_pmse_DA: 224.2427 - tf_pmse_5HT: 217.1125 - tf_pmse_pH: 0.0452 - tf_pmse_NE: 181.1396 - val_loss: 2.2184 - val_tf_pmse_DA: 951.6950 - val_tf_pmse_5HT: 1158.5071 - val_tf_pmse_pH: 0.5137 - val_tf_pmse_NE: 1333.6642\n",
      "Epoch 19/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0347 - tf_pmse_DA: 215.5967 - tf_pmse_5HT: 210.0396 - tf_pmse_pH: 0.0441 - tf_pmse_NE: 179.0759 - val_loss: 1.9965 - val_tf_pmse_DA: 1125.5907 - val_tf_pmse_5HT: 1150.1772 - val_tf_pmse_pH: 0.2793 - val_tf_pmse_NE: 1497.4364\n",
      "Epoch 20/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0367 - tf_pmse_DA: 224.6363 - tf_pmse_5HT: 218.0104 - tf_pmse_pH: 0.0456 - tf_pmse_NE: 176.3223 - val_loss: 2.1675 - val_tf_pmse_DA: 1297.5492 - val_tf_pmse_5HT: 1003.2161 - val_tf_pmse_pH: 0.3853 - val_tf_pmse_NE: 1306.9689\n",
      "Epoch 21/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0346 - tf_pmse_DA: 217.8411 - tf_pmse_5HT: 209.3985 - tf_pmse_pH: 0.0432 - tf_pmse_NE: 179.0953 - val_loss: 2.0948 - val_tf_pmse_DA: 1202.3827 - val_tf_pmse_5HT: 1031.4187 - val_tf_pmse_pH: 0.3487 - val_tf_pmse_NE: 1365.8839\n",
      "Epoch 22/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0334 - tf_pmse_DA: 215.2968 - tf_pmse_5HT: 203.1255 - tf_pmse_pH: 0.0431 - tf_pmse_NE: 174.0397 - val_loss: 2.6009 - val_tf_pmse_DA: 1015.9770 - val_tf_pmse_5HT: 993.2432 - val_tf_pmse_pH: 0.5308 - val_tf_pmse_NE: 1695.7286\n",
      "Epoch 23/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0340 - tf_pmse_DA: 214.0754 - tf_pmse_5HT: 203.5777 - tf_pmse_pH: 0.0428 - tf_pmse_NE: 182.0105 - val_loss: 3.7097 - val_tf_pmse_DA: 1827.7244 - val_tf_pmse_5HT: 1078.9383 - val_tf_pmse_pH: 0.5735 - val_tf_pmse_NE: 2035.2510\n",
      "Epoch 24/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0328 - tf_pmse_DA: 211.0794 - tf_pmse_5HT: 206.8879 - tf_pmse_pH: 0.0430 - tf_pmse_NE: 166.8077 - val_loss: 2.2095 - val_tf_pmse_DA: 1001.3636 - val_tf_pmse_5HT: 1218.5764 - val_tf_pmse_pH: 0.4074 - val_tf_pmse_NE: 1343.3819\n",
      "Epoch 25/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0331 - tf_pmse_DA: 212.4384 - tf_pmse_5HT: 205.2791 - tf_pmse_pH: 0.0417 - tf_pmse_NE: 172.1767 - val_loss: 2.3921 - val_tf_pmse_DA: 1212.9885 - val_tf_pmse_5HT: 1112.3912 - val_tf_pmse_pH: 0.3556 - val_tf_pmse_NE: 1614.0406\n",
      "Epoch 26/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0317 - tf_pmse_DA: 209.9699 - tf_pmse_5HT: 194.9089 - tf_pmse_pH: 0.0416 - tf_pmse_NE: 171.3411 - val_loss: 2.3679 - val_tf_pmse_DA: 1531.4245 - val_tf_pmse_5HT: 1080.4874 - val_tf_pmse_pH: 0.3600 - val_tf_pmse_NE: 1300.5119\n",
      "Epoch 27/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0310 - tf_pmse_DA: 204.8395 - tf_pmse_5HT: 197.7508 - tf_pmse_pH: 0.0431 - tf_pmse_NE: 162.0362 - val_loss: 2.7688 - val_tf_pmse_DA: 1819.9830 - val_tf_pmse_5HT: 1053.2699 - val_tf_pmse_pH: 0.3937 - val_tf_pmse_NE: 1581.5389\n",
      "Epoch 28/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0297 - tf_pmse_DA: 200.2853 - tf_pmse_5HT: 192.0508 - tf_pmse_pH: 0.0405 - tf_pmse_NE: 165.4279 - val_loss: 2.4389 - val_tf_pmse_DA: 1466.0666 - val_tf_pmse_5HT: 1020.6385 - val_tf_pmse_pH: 0.4747 - val_tf_pmse_NE: 1202.7871\n",
      "Epoch 29/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0303 - tf_pmse_DA: 201.7591 - tf_pmse_5HT: 194.9594 - tf_pmse_pH: 0.0440 - tf_pmse_NE: 158.5715 - val_loss: 2.2043 - val_tf_pmse_DA: 1299.5373 - val_tf_pmse_5HT: 996.8013 - val_tf_pmse_pH: 0.3710 - val_tf_pmse_NE: 1412.2002\n",
      "Epoch 30/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0318 - tf_pmse_DA: 207.7135 - tf_pmse_5HT: 198.2892 - tf_pmse_pH: 0.0424 - tf_pmse_NE: 169.6743 - val_loss: 2.2117 - val_tf_pmse_DA: 1000.4478 - val_tf_pmse_5HT: 1015.6837 - val_tf_pmse_pH: 0.3159 - val_tf_pmse_NE: 1865.0294\n",
      "Epoch 31/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0311 - tf_pmse_DA: 205.1784 - tf_pmse_5HT: 197.1140 - tf_pmse_pH: 0.0415 - tf_pmse_NE: 165.4254 - val_loss: 2.6431 - val_tf_pmse_DA: 1241.2879 - val_tf_pmse_5HT: 1086.7194 - val_tf_pmse_pH: 0.3870 - val_tf_pmse_NE: 1830.5971\n",
      "Epoch 32/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0307 - tf_pmse_DA: 201.1288 - tf_pmse_5HT: 197.8436 - tf_pmse_pH: 0.0407 - tf_pmse_NE: 168.0083 - val_loss: 2.6311 - val_tf_pmse_DA: 1250.2031 - val_tf_pmse_5HT: 991.8236 - val_tf_pmse_pH: 0.4407 - val_tf_pmse_NE: 1794.2178\n",
      "Epoch 33/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0295 - tf_pmse_DA: 199.3677 - tf_pmse_5HT: 191.1793 - tf_pmse_pH: 0.0418 - tf_pmse_NE: 160.9002 - val_loss: 2.4250 - val_tf_pmse_DA: 1188.7735 - val_tf_pmse_5HT: 1051.2666 - val_tf_pmse_pH: 0.4450 - val_tf_pmse_NE: 1590.6474\n",
      "Epoch 34/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0289 - tf_pmse_DA: 195.9729 - tf_pmse_5HT: 192.8847 - tf_pmse_pH: 0.0406 - tf_pmse_NE: 159.0618 - val_loss: 2.8111 - val_tf_pmse_DA: 1503.1343 - val_tf_pmse_5HT: 1081.1247 - val_tf_pmse_pH: 0.4832 - val_tf_pmse_NE: 1523.2265\n",
      "Epoch 35/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0287 - tf_pmse_DA: 200.5017 - tf_pmse_5HT: 190.1532 - tf_pmse_pH: 0.0387 - tf_pmse_NE: 158.2206 - val_loss: 2.3487 - val_tf_pmse_DA: 1378.7888 - val_tf_pmse_5HT: 1009.2243 - val_tf_pmse_pH: 0.2434 - val_tf_pmse_NE: 1832.5870\n",
      "Epoch 36/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0289 - tf_pmse_DA: 196.8560 - tf_pmse_5HT: 189.3009 - tf_pmse_pH: 0.0418 - tf_pmse_NE: 156.7730 - val_loss: 3.1618 - val_tf_pmse_DA: 1568.7976 - val_tf_pmse_5HT: 1016.6853 - val_tf_pmse_pH: 0.4154 - val_tf_pmse_NE: 2133.3485\n",
      "Epoch 37/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0273 - tf_pmse_DA: 191.7027 - tf_pmse_5HT: 186.8009 - tf_pmse_pH: 0.0389 - tf_pmse_NE: 154.5093 - val_loss: 2.5310 - val_tf_pmse_DA: 1259.5332 - val_tf_pmse_5HT: 1009.1930 - val_tf_pmse_pH: 0.4190 - val_tf_pmse_NE: 1662.8103\n",
      "Epoch 38/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0257 - tf_pmse_DA: 185.8621 - tf_pmse_5HT: 175.2283 - tf_pmse_pH: 0.0380 - tf_pmse_NE: 155.1832 - val_loss: 2.5664 - val_tf_pmse_DA: 1560.8624 - val_tf_pmse_5HT: 1056.8693 - val_tf_pmse_pH: 0.2916 - val_tf_pmse_NE: 1725.9413\n",
      "Epoch 39/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0282 - tf_pmse_DA: 192.0545 - tf_pmse_5HT: 185.8090 - tf_pmse_pH: 0.0417 - tf_pmse_NE: 159.0805 - val_loss: 2.7848 - val_tf_pmse_DA: 1397.6463 - val_tf_pmse_5HT: 1035.1546 - val_tf_pmse_pH: 0.3729 - val_tf_pmse_NE: 1952.4411\n",
      "Epoch 40/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0280 - tf_pmse_DA: 198.6851 - tf_pmse_5HT: 184.2390 - tf_pmse_pH: 0.0391 - tf_pmse_NE: 155.8756 - val_loss: 2.6680 - val_tf_pmse_DA: 1119.3181 - val_tf_pmse_5HT: 992.0613 - val_tf_pmse_pH: 0.3646 - val_tf_pmse_NE: 2150.4778\n",
      "Epoch 41/100\n",
      "39600/39600 [==============================] - 37s 941us/step - loss: 0.0278 - tf_pmse_DA: 191.5355 - tf_pmse_5HT: 189.7169 - tf_pmse_pH: 0.0402 - tf_pmse_NE: 152.4110 - val_loss: 3.0924 - val_tf_pmse_DA: 1603.1128 - val_tf_pmse_5HT: 1114.9236 - val_tf_pmse_pH: 0.5106 - val_tf_pmse_NE: 1666.6494\n",
      "Epoch 42/100\n",
      "39600/39600 [==============================] - 37s 941us/step - loss: 0.0269 - tf_pmse_DA: 188.4360 - tf_pmse_5HT: 189.9204 - tf_pmse_pH: 0.0373 - tf_pmse_NE: 153.5769 - val_loss: 3.5201 - val_tf_pmse_DA: 1369.1480 - val_tf_pmse_5HT: 1117.5978 - val_tf_pmse_pH: 0.4540 - val_tf_pmse_NE: 2438.6080\n",
      "Epoch 43/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.0261 - tf_pmse_DA: 188.1423 - tf_pmse_5HT: 180.5292 - tf_pmse_pH: 0.0384 - tf_pmse_NE: 150.9738 - val_loss: 2.9406 - val_tf_pmse_DA: 1693.7639 - val_tf_pmse_5HT: 1059.7585 - val_tf_pmse_pH: 0.4295 - val_tf_pmse_NE: 1694.4969\n",
      "Epoch 44/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0264 - tf_pmse_DA: 185.8867 - tf_pmse_5HT: 181.8962 - tf_pmse_pH: 0.0392 - tf_pmse_NE: 154.0734 - val_loss: 2.8450 - val_tf_pmse_DA: 1087.5090 - val_tf_pmse_5HT: 1129.0905 - val_tf_pmse_pH: 0.4167 - val_tf_pmse_NE: 2040.1036\n",
      "Epoch 45/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0258 - tf_pmse_DA: 186.6847 - tf_pmse_5HT: 181.2896 - tf_pmse_pH: 0.0385 - tf_pmse_NE: 144.9908 - val_loss: 2.5738 - val_tf_pmse_DA: 1187.3317 - val_tf_pmse_5HT: 1037.7102 - val_tf_pmse_pH: 0.4219 - val_tf_pmse_NE: 1722.3653\n",
      "Epoch 46/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0265 - tf_pmse_DA: 186.6900 - tf_pmse_5HT: 178.9370 - tf_pmse_pH: 0.0385 - tf_pmse_NE: 158.1505 - val_loss: 2.5843 - val_tf_pmse_DA: 1423.8079 - val_tf_pmse_5HT: 993.6821 - val_tf_pmse_pH: 0.3586 - val_tf_pmse_NE: 1872.9909\n",
      "Epoch 47/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0259 - tf_pmse_DA: 187.3616 - tf_pmse_5HT: 180.1867 - tf_pmse_pH: 0.0379 - tf_pmse_NE: 151.2820 - val_loss: 2.3411 - val_tf_pmse_DA: 1153.5593 - val_tf_pmse_5HT: 1011.0162 - val_tf_pmse_pH: 0.3284 - val_tf_pmse_NE: 1755.2490\n",
      "Epoch 48/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0271 - tf_pmse_DA: 188.5937 - tf_pmse_5HT: 190.2824 - tf_pmse_pH: 0.0391 - tf_pmse_NE: 147.7112 - val_loss: 2.7682 - val_tf_pmse_DA: 1399.8249 - val_tf_pmse_5HT: 994.8149 - val_tf_pmse_pH: 0.2643 - val_tf_pmse_NE: 2181.9777\n",
      "Epoch 49/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0251 - tf_pmse_DA: 180.3102 - tf_pmse_5HT: 178.4446 - tf_pmse_pH: 0.0376 - tf_pmse_NE: 152.0034 - val_loss: 3.0515 - val_tf_pmse_DA: 1582.8380 - val_tf_pmse_5HT: 1039.4293 - val_tf_pmse_pH: 0.4217 - val_tf_pmse_NE: 1951.8997\n",
      "Epoch 50/100\n",
      "39600/39600 [==============================] - 37s 940us/step - loss: 0.0229 - tf_pmse_DA: 177.7842 - tf_pmse_5HT: 169.5488 - tf_pmse_pH: 0.0353 - tf_pmse_NE: 140.6034 - val_loss: 3.0870 - val_tf_pmse_DA: 1508.2143 - val_tf_pmse_5HT: 1032.9318 - val_tf_pmse_pH: 0.3570 - val_tf_pmse_NE: 2207.3220\n",
      "Epoch 51/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0243 - tf_pmse_DA: 180.2174 - tf_pmse_5HT: 172.1743 - tf_pmse_pH: 0.0377 - tf_pmse_NE: 145.8958 - val_loss: 2.8666 - val_tf_pmse_DA: 1598.7447 - val_tf_pmse_5HT: 1159.7277 - val_tf_pmse_pH: 0.4337 - val_tf_pmse_NE: 1559.7716\n",
      "Epoch 52/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0258 - tf_pmse_DA: 183.7770 - tf_pmse_5HT: 179.9378 - tf_pmse_pH: 0.0381 - tf_pmse_NE: 149.4878 - val_loss: 3.3470 - val_tf_pmse_DA: 1720.8922 - val_tf_pmse_5HT: 1236.6837 - val_tf_pmse_pH: 0.3644 - val_tf_pmse_NE: 2136.6714\n",
      "Epoch 53/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0228 - tf_pmse_DA: 175.3186 - tf_pmse_5HT: 171.1926 - tf_pmse_pH: 0.0358 - tf_pmse_NE: 137.0931 - val_loss: 2.4143 - val_tf_pmse_DA: 1279.1242 - val_tf_pmse_5HT: 1060.0642 - val_tf_pmse_pH: 0.2997 - val_tf_pmse_NE: 1731.2169\n",
      "Epoch 54/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0226 - tf_pmse_DA: 172.2524 - tf_pmse_5HT: 170.3839 - tf_pmse_pH: 0.0365 - tf_pmse_NE: 137.3425 - val_loss: 2.6539 - val_tf_pmse_DA: 1104.6967 - val_tf_pmse_5HT: 1155.3189 - val_tf_pmse_pH: 0.3266 - val_tf_pmse_NE: 2012.4750\n",
      "Epoch 55/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0228 - tf_pmse_DA: 175.2942 - tf_pmse_5HT: 167.4860 - tf_pmse_pH: 0.0367 - tf_pmse_NE: 141.2320 - val_loss: 3.0779 - val_tf_pmse_DA: 1697.1762 - val_tf_pmse_5HT: 1026.9554 - val_tf_pmse_pH: 0.3818 - val_tf_pmse_NE: 2006.5179\n",
      "Epoch 56/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0219 - tf_pmse_DA: 172.7413 - tf_pmse_5HT: 168.0909 - tf_pmse_pH: 0.0350 - tf_pmse_NE: 135.6894 - val_loss: 2.3117 - val_tf_pmse_DA: 1164.5001 - val_tf_pmse_5HT: 989.7294 - val_tf_pmse_pH: 0.3607 - val_tf_pmse_NE: 1634.0253\n",
      "Epoch 57/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0203 - tf_pmse_DA: 165.0883 - tf_pmse_5HT: 162.2489 - tf_pmse_pH: 0.0336 - tf_pmse_NE: 130.1289 - val_loss: 2.6647 - val_tf_pmse_DA: 1197.4375 - val_tf_pmse_5HT: 987.1817 - val_tf_pmse_pH: 0.4112 - val_tf_pmse_NE: 1896.6150\n",
      "Epoch 58/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0233 - tf_pmse_DA: 176.7112 - tf_pmse_5HT: 175.3717 - tf_pmse_pH: 0.0339 - tf_pmse_NE: 143.8253 - val_loss: 3.0844 - val_tf_pmse_DA: 1343.7669 - val_tf_pmse_5HT: 1233.1590 - val_tf_pmse_pH: 0.4526 - val_tf_pmse_NE: 1930.2603\n",
      "Epoch 59/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0231 - tf_pmse_DA: 173.0014 - tf_pmse_5HT: 171.9633 - tf_pmse_pH: 0.0357 - tf_pmse_NE: 143.3756 - val_loss: 2.9248 - val_tf_pmse_DA: 1411.1507 - val_tf_pmse_5HT: 1101.5757 - val_tf_pmse_pH: 0.3910 - val_tf_pmse_NE: 1961.9616\n",
      "Epoch 60/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0228 - tf_pmse_DA: 176.8373 - tf_pmse_5HT: 167.5318 - tf_pmse_pH: 0.0352 - tf_pmse_NE: 141.2147 - val_loss: 2.3705 - val_tf_pmse_DA: 1202.9452 - val_tf_pmse_5HT: 946.3913 - val_tf_pmse_pH: 0.3349 - val_tf_pmse_NE: 1801.5815\n",
      "Epoch 61/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0219 - tf_pmse_DA: 169.3899 - tf_pmse_5HT: 164.0114 - tf_pmse_pH: 0.0363 - tf_pmse_NE: 137.9358 - val_loss: 2.5419 - val_tf_pmse_DA: 1183.0937 - val_tf_pmse_5HT: 1006.2420 - val_tf_pmse_pH: 0.3725 - val_tf_pmse_NE: 1866.3551\n",
      "Epoch 62/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0225 - tf_pmse_DA: 175.2203 - tf_pmse_5HT: 169.5984 - tf_pmse_pH: 0.0343 - tf_pmse_NE: 137.6421 - val_loss: 2.6731 - val_tf_pmse_DA: 1289.5665 - val_tf_pmse_5HT: 1003.1299 - val_tf_pmse_pH: 0.4160 - val_tf_pmse_NE: 1807.2569\n",
      "Epoch 63/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0206 - tf_pmse_DA: 165.4827 - tf_pmse_5HT: 157.1958 - tf_pmse_pH: 0.0341 - tf_pmse_NE: 136.8203 - val_loss: 2.4546 - val_tf_pmse_DA: 1186.3712 - val_tf_pmse_5HT: 997.7497 - val_tf_pmse_pH: 0.4084 - val_tf_pmse_NE: 1656.6257\n",
      "Epoch 64/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0216 - tf_pmse_DA: 168.1479 - tf_pmse_5HT: 162.8827 - tf_pmse_pH: 0.0355 - tf_pmse_NE: 136.8790 - val_loss: 2.6274 - val_tf_pmse_DA: 1369.9414 - val_tf_pmse_5HT: 942.6841 - val_tf_pmse_pH: 0.3520 - val_tf_pmse_NE: 1936.9815\n",
      "Epoch 65/100\n",
      "39600/39600 [==============================] - 37s 938us/step - loss: 0.0216 - tf_pmse_DA: 169.8451 - tf_pmse_5HT: 161.4766 - tf_pmse_pH: 0.0368 - tf_pmse_NE: 134.1436 - val_loss: 2.9374 - val_tf_pmse_DA: 1200.7663 - val_tf_pmse_5HT: 1249.8088 - val_tf_pmse_pH: 0.4778 - val_tf_pmse_NE: 1796.8402\n",
      "Epoch 66/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0221 - tf_pmse_DA: 169.3034 - tf_pmse_5HT: 170.4596 - tf_pmse_pH: 0.0350 - tf_pmse_NE: 137.4196 - val_loss: 2.5668 - val_tf_pmse_DA: 1138.6867 - val_tf_pmse_5HT: 1280.5681 - val_tf_pmse_pH: 0.4033 - val_tf_pmse_NE: 1577.5868\n",
      "Epoch 67/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0203 - tf_pmse_DA: 166.2201 - tf_pmse_5HT: 156.7249 - tf_pmse_pH: 0.0345 - tf_pmse_NE: 133.4428 - val_loss: 3.1832 - val_tf_pmse_DA: 1492.5847 - val_tf_pmse_5HT: 1214.3327 - val_tf_pmse_pH: 0.3755 - val_tf_pmse_NE: 2147.2623\n",
      "Epoch 68/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0216 - tf_pmse_DA: 165.1730 - tf_pmse_5HT: 162.6839 - tf_pmse_pH: 0.0361 - tf_pmse_NE: 139.0050 - val_loss: 3.3600 - val_tf_pmse_DA: 1648.3796 - val_tf_pmse_5HT: 1193.5982 - val_tf_pmse_pH: 0.4317 - val_tf_pmse_NE: 2098.2532\n",
      "Epoch 69/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0213 - tf_pmse_DA: 166.3129 - tf_pmse_5HT: 161.7538 - tf_pmse_pH: 0.0365 - tf_pmse_NE: 134.4649 - val_loss: 2.5489 - val_tf_pmse_DA: 1442.6469 - val_tf_pmse_5HT: 1223.7460 - val_tf_pmse_pH: 0.4068 - val_tf_pmse_NE: 1329.0150\n",
      "Epoch 70/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0210 - tf_pmse_DA: 168.0309 - tf_pmse_5HT: 163.9220 - tf_pmse_pH: 0.0334 - tf_pmse_NE: 133.5668 - val_loss: 3.0950 - val_tf_pmse_DA: 1321.6659 - val_tf_pmse_5HT: 1076.1384 - val_tf_pmse_pH: 0.3961 - val_tf_pmse_NE: 2233.2532\n",
      "Epoch 71/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0188 - tf_pmse_DA: 160.2309 - tf_pmse_5HT: 150.1828 - tf_pmse_pH: 0.0327 - tf_pmse_NE: 126.9882 - val_loss: 2.7083 - val_tf_pmse_DA: 1484.6420 - val_tf_pmse_5HT: 998.1737 - val_tf_pmse_pH: 0.4054 - val_tf_pmse_NE: 1734.4813\n",
      "Epoch 72/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0192 - tf_pmse_DA: 160.1997 - tf_pmse_5HT: 149.8096 - tf_pmse_pH: 0.0341 - tf_pmse_NE: 130.1447 - val_loss: 2.7948 - val_tf_pmse_DA: 1498.5326 - val_tf_pmse_5HT: 1037.1461 - val_tf_pmse_pH: 0.3615 - val_tf_pmse_NE: 1900.4324\n",
      "Epoch 73/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0202 - tf_pmse_DA: 162.4979 - tf_pmse_5HT: 160.0460 - tf_pmse_pH: 0.0349 - tf_pmse_NE: 128.5297 - val_loss: 2.7028 - val_tf_pmse_DA: 1227.5470 - val_tf_pmse_5HT: 1178.0165 - val_tf_pmse_pH: 0.3611 - val_tf_pmse_NE: 1883.9231\n",
      "Epoch 74/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0193 - tf_pmse_DA: 157.8950 - tf_pmse_5HT: 153.2286 - tf_pmse_pH: 0.0358 - tf_pmse_NE: 124.4831 - val_loss: 3.2346 - val_tf_pmse_DA: 1504.3096 - val_tf_pmse_5HT: 1121.9586 - val_tf_pmse_pH: 0.4381 - val_tf_pmse_NE: 2119.8264\n",
      "Epoch 75/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0210 - tf_pmse_DA: 159.6292 - tf_pmse_5HT: 166.9316 - tf_pmse_pH: 0.0361 - tf_pmse_NE: 130.9533 - val_loss: 2.6260 - val_tf_pmse_DA: 1277.9935 - val_tf_pmse_5HT: 1049.1824 - val_tf_pmse_pH: 0.3366 - val_tf_pmse_NE: 1921.4688\n",
      "Epoch 76/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0207 - tf_pmse_DA: 163.6196 - tf_pmse_5HT: 161.6783 - tf_pmse_pH: 0.0353 - tf_pmse_NE: 129.8917 - val_loss: 2.6748 - val_tf_pmse_DA: 1496.1865 - val_tf_pmse_5HT: 1049.6679 - val_tf_pmse_pH: 0.3218 - val_tf_pmse_NE: 1855.3831\n",
      "Epoch 77/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0192 - tf_pmse_DA: 160.1599 - tf_pmse_5HT: 157.5484 - tf_pmse_pH: 0.0316 - tf_pmse_NE: 125.9160 - val_loss: 2.5535 - val_tf_pmse_DA: 1069.9595 - val_tf_pmse_5HT: 1095.6421 - val_tf_pmse_pH: 0.4129 - val_tf_pmse_NE: 1771.1974\n",
      "Epoch 78/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0200 - tf_pmse_DA: 160.2791 - tf_pmse_5HT: 160.1967 - tf_pmse_pH: 0.0324 - tf_pmse_NE: 131.4936 - val_loss: 2.5826 - val_tf_pmse_DA: 1361.6256 - val_tf_pmse_5HT: 942.6433 - val_tf_pmse_pH: 0.3130 - val_tf_pmse_NE: 2016.3041\n",
      "Epoch 79/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0193 - tf_pmse_DA: 156.2563 - tf_pmse_5HT: 156.0714 - tf_pmse_pH: 0.0347 - tf_pmse_NE: 125.9883 - val_loss: 2.7839 - val_tf_pmse_DA: 1534.7896 - val_tf_pmse_5HT: 945.8957 - val_tf_pmse_pH: 0.3986 - val_tf_pmse_NE: 1881.8806\n",
      "Epoch 80/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0201 - tf_pmse_DA: 159.2091 - tf_pmse_5HT: 157.8695 - tf_pmse_pH: 0.0349 - tf_pmse_NE: 133.7248 - val_loss: 3.0322 - val_tf_pmse_DA: 1039.4826 - val_tf_pmse_5HT: 1063.4379 - val_tf_pmse_pH: 0.5548 - val_tf_pmse_NE: 1948.0604\n",
      "Epoch 81/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0190 - tf_pmse_DA: 160.4315 - tf_pmse_5HT: 155.1067 - tf_pmse_pH: 0.0342 - tf_pmse_NE: 118.9140 - val_loss: 2.7184 - val_tf_pmse_DA: 1405.9272 - val_tf_pmse_5HT: 1193.2666 - val_tf_pmse_pH: 0.3728 - val_tf_pmse_NE: 1726.4858\n",
      "Epoch 82/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0185 - tf_pmse_DA: 157.2513 - tf_pmse_5HT: 152.1428 - tf_pmse_pH: 0.0324 - tf_pmse_NE: 121.0628 - val_loss: 2.7269 - val_tf_pmse_DA: 1489.7238 - val_tf_pmse_5HT: 1045.2195 - val_tf_pmse_pH: 0.3914 - val_tf_pmse_NE: 1761.8608\n",
      "Epoch 83/100\n",
      "39600/39600 [==============================] - 37s 940us/step - loss: 0.0188 - tf_pmse_DA: 155.1213 - tf_pmse_5HT: 160.2400 - tf_pmse_pH: 0.0322 - tf_pmse_NE: 122.6402 - val_loss: 3.0609 - val_tf_pmse_DA: 1746.3636 - val_tf_pmse_5HT: 994.6113 - val_tf_pmse_pH: 0.3827 - val_tf_pmse_NE: 1986.4813\n",
      "Epoch 84/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.0194 - tf_pmse_DA: 162.5145 - tf_pmse_5HT: 155.4820 - tf_pmse_pH: 0.0342 - tf_pmse_NE: 124.7830 - val_loss: 3.0013 - val_tf_pmse_DA: 1110.1569 - val_tf_pmse_5HT: 1133.4863 - val_tf_pmse_pH: 0.4170 - val_tf_pmse_NE: 2187.8549\n",
      "Epoch 85/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0185 - tf_pmse_DA: 151.4399 - tf_pmse_5HT: 155.7651 - tf_pmse_pH: 0.0325 - tf_pmse_NE: 124.3438 - val_loss: 2.7829 - val_tf_pmse_DA: 1285.2134 - val_tf_pmse_5HT: 1033.7603 - val_tf_pmse_pH: 0.3637 - val_tf_pmse_NE: 2054.9738\n",
      "Epoch 86/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0183 - tf_pmse_DA: 156.9605 - tf_pmse_5HT: 150.6592 - tf_pmse_pH: 0.0327 - tf_pmse_NE: 121.6706 - val_loss: 2.9027 - val_tf_pmse_DA: 1688.9088 - val_tf_pmse_5HT: 975.6749 - val_tf_pmse_pH: 0.3539 - val_tf_pmse_NE: 1946.0321\n",
      "Epoch 87/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0191 - tf_pmse_DA: 158.6812 - tf_pmse_5HT: 152.4142 - tf_pmse_pH: 0.0342 - tf_pmse_NE: 125.9493 - val_loss: 2.4709 - val_tf_pmse_DA: 1163.4857 - val_tf_pmse_5HT: 947.1220 - val_tf_pmse_pH: 0.3812 - val_tf_pmse_NE: 1833.2125\n",
      "Epoch 88/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0188 - tf_pmse_DA: 156.3529 - tf_pmse_5HT: 157.1705 - tf_pmse_pH: 0.0334 - tf_pmse_NE: 120.9596 - val_loss: 2.5782 - val_tf_pmse_DA: 1208.0478 - val_tf_pmse_5HT: 931.5947 - val_tf_pmse_pH: 0.3171 - val_tf_pmse_NE: 2088.9517\n",
      "Epoch 89/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0189 - tf_pmse_DA: 153.3128 - tf_pmse_5HT: 160.9100 - tf_pmse_pH: 0.0324 - tf_pmse_NE: 125.4252 - val_loss: 3.0397 - val_tf_pmse_DA: 1515.2570 - val_tf_pmse_5HT: 1208.8425 - val_tf_pmse_pH: 0.3868 - val_tf_pmse_NE: 1963.8909\n",
      "Epoch 90/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0180 - tf_pmse_DA: 150.3019 - tf_pmse_5HT: 156.2390 - tf_pmse_pH: 0.0308 - tf_pmse_NE: 122.8440 - val_loss: 2.8762 - val_tf_pmse_DA: 1276.2602 - val_tf_pmse_5HT: 1063.2173 - val_tf_pmse_pH: 0.3865 - val_tf_pmse_NE: 2074.9055\n",
      "Epoch 91/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0175 - tf_pmse_DA: 148.5464 - tf_pmse_5HT: 146.6498 - tf_pmse_pH: 0.0323 - tf_pmse_NE: 125.7336 - val_loss: 2.8204 - val_tf_pmse_DA: 1547.2672 - val_tf_pmse_5HT: 939.8709 - val_tf_pmse_pH: 0.3905 - val_tf_pmse_NE: 1929.7763\n",
      "Epoch 92/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0180 - tf_pmse_DA: 153.8051 - tf_pmse_5HT: 148.3316 - tf_pmse_pH: 0.0323 - tf_pmse_NE: 123.0227 - val_loss: 2.1953 - val_tf_pmse_DA: 1074.3770 - val_tf_pmse_5HT: 996.9665 - val_tf_pmse_pH: 0.3206 - val_tf_pmse_NE: 1671.6985\n",
      "Epoch 93/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0171 - tf_pmse_DA: 150.2681 - tf_pmse_5HT: 144.3218 - tf_pmse_pH: 0.0315 - tf_pmse_NE: 118.7369 - val_loss: 2.4026 - val_tf_pmse_DA: 1248.7828 - val_tf_pmse_5HT: 957.0056 - val_tf_pmse_pH: 0.3547 - val_tf_pmse_NE: 1746.5994\n",
      "Epoch 94/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0179 - tf_pmse_DA: 158.9940 - tf_pmse_5HT: 149.1481 - tf_pmse_pH: 0.0322 - tf_pmse_NE: 114.3094 - val_loss: 2.9772 - val_tf_pmse_DA: 1455.7311 - val_tf_pmse_5HT: 1040.5066 - val_tf_pmse_pH: 0.4372 - val_tf_pmse_NE: 1952.6540\n",
      "Epoch 95/100\n",
      "39600/39600 [==============================] - 37s 927us/step - loss: 0.0161 - tf_pmse_DA: 144.1838 - tf_pmse_5HT: 139.5026 - tf_pmse_pH: 0.0318 - tf_pmse_NE: 117.8962 - val_loss: 2.5590 - val_tf_pmse_DA: 1316.8250 - val_tf_pmse_5HT: 1001.4448 - val_tf_pmse_pH: 0.3536 - val_tf_pmse_NE: 1835.6081\n",
      "Epoch 96/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0177 - tf_pmse_DA: 154.3259 - tf_pmse_5HT: 149.0631 - tf_pmse_pH: 0.0329 - tf_pmse_NE: 117.5859 - val_loss: 2.7938 - val_tf_pmse_DA: 1402.8276 - val_tf_pmse_5HT: 961.3251 - val_tf_pmse_pH: 0.3316 - val_tf_pmse_NE: 2119.1161\n",
      "Epoch 97/100\n",
      "39600/39600 [==============================] - 37s 939us/step - loss: 0.0161 - tf_pmse_DA: 145.7302 - tf_pmse_5HT: 143.1053 - tf_pmse_pH: 0.0306 - tf_pmse_NE: 115.5467 - val_loss: 3.0071 - val_tf_pmse_DA: 1523.3733 - val_tf_pmse_5HT: 1100.3771 - val_tf_pmse_pH: 0.3978 - val_tf_pmse_NE: 1980.8110\n",
      "Epoch 98/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.0177 - tf_pmse_DA: 151.4244 - tf_pmse_5HT: 148.6336 - tf_pmse_pH: 0.0328 - tf_pmse_NE: 120.8828 - val_loss: 2.6894 - val_tf_pmse_DA: 1158.4747 - val_tf_pmse_5HT: 986.6226 - val_tf_pmse_pH: 0.4359 - val_tf_pmse_NE: 1894.1986\n",
      "Epoch 99/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.0177 - tf_pmse_DA: 151.0495 - tf_pmse_5HT: 146.0492 - tf_pmse_pH: 0.0346 - tf_pmse_NE: 118.0443 - val_loss: 2.4313 - val_tf_pmse_DA: 1243.5179 - val_tf_pmse_5HT: 1033.4500 - val_tf_pmse_pH: 0.3057 - val_tf_pmse_NE: 1820.9837\n",
      "Epoch 100/100\n",
      "39600/39600 [==============================] - 37s 938us/step - loss: 0.0171 - tf_pmse_DA: 143.4038 - tf_pmse_5HT: 151.5846 - tf_pmse_pH: 0.0338 - tf_pmse_NE: 112.3340 - val_loss: 2.6973 - val_tf_pmse_DA: 1535.6409 - val_tf_pmse_5HT: 997.4710 - val_tf_pmse_pH: 0.3426 - val_tf_pmse_NE: 1847.0952\n",
      "predicting test set... done.\n"
     ]
    },
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       "      <th>rmse_DA</th>\n",
       "      <th>rmse_5HT</th>\n",
       "      <th>rmse_pH</th>\n",
       "      <th>rmse_NE</th>\n",
       "      <th>duration</th>\n",
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     "text": [
      "probe MMA025W01R04 (6 out of 7)\n",
      "loading previous weights...\n",
      "mini batch size: 128\n",
      "Train on 39600 samples, validate on 39600 samples\n",
      "Epoch 1/100\n",
      "39600/39600 [==============================] - 45s 1ms/step - loss: 9.1827 - tf_pmse_DA: 2284.5365 - tf_pmse_5HT: 1679.4013 - tf_pmse_pH: 0.6012 - tf_pmse_NE: 2129.5945 - val_loss: 3.4114 - val_tf_pmse_DA: 1152.3713 - val_tf_pmse_5HT: 1147.9427 - val_tf_pmse_pH: 0.7274 - val_tf_pmse_NE: 1530.1415\n",
      "Epoch 2/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.4604 - tf_pmse_DA: 792.0633 - tf_pmse_5HT: 766.4931 - tf_pmse_pH: 0.1546 - tf_pmse_NE: 703.8063 - val_loss: 4.9104 - val_tf_pmse_DA: 1055.0861 - val_tf_pmse_5HT: 1273.5073 - val_tf_pmse_pH: 1.1441 - val_tf_pmse_NE: 1431.0962\n",
      "Epoch 3/100\n",
      "39600/39600 [==============================] - 36s 920us/step - loss: 0.3481 - tf_pmse_DA: 725.2495 - tf_pmse_5HT: 695.8132 - tf_pmse_pH: 0.1045 - tf_pmse_NE: 604.3104 - val_loss: 4.5792 - val_tf_pmse_DA: 1732.8955 - val_tf_pmse_5HT: 2031.4694 - val_tf_pmse_pH: 0.8342 - val_tf_pmse_NE: 1370.9623\n",
      "Epoch 4/100\n",
      "39600/39600 [==============================] - 36s 918us/step - loss: 0.2818 - tf_pmse_DA: 658.5565 - tf_pmse_5HT: 632.0801 - tf_pmse_pH: 0.0913 - tf_pmse_NE: 533.8480 - val_loss: 5.9678 - val_tf_pmse_DA: 1968.8766 - val_tf_pmse_5HT: 3406.5624 - val_tf_pmse_pH: 0.6643 - val_tf_pmse_NE: 1215.3310\n",
      "Epoch 5/100\n",
      "39600/39600 [==============================] - 36s 921us/step - loss: 0.2305 - tf_pmse_DA: 600.1421 - tf_pmse_5HT: 566.2669 - tf_pmse_pH: 0.0847 - tf_pmse_NE: 477.3242 - val_loss: 6.3966 - val_tf_pmse_DA: 2185.0807 - val_tf_pmse_5HT: 4046.0321 - val_tf_pmse_pH: 0.3786 - val_tf_pmse_NE: 922.1654\n",
      "Epoch 6/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.1900 - tf_pmse_DA: 552.0006 - tf_pmse_5HT: 504.4252 - tf_pmse_pH: 0.0781 - tf_pmse_NE: 430.8654 - val_loss: 9.7993 - val_tf_pmse_DA: 2516.3307 - val_tf_pmse_5HT: 5442.6300 - val_tf_pmse_pH: 0.3320 - val_tf_pmse_NE: 998.2390\n",
      "Epoch 7/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.1618 - tf_pmse_DA: 514.9748 - tf_pmse_5HT: 462.0909 - tf_pmse_pH: 0.0729 - tf_pmse_NE: 392.9886 - val_loss: 7.0821 - val_tf_pmse_DA: 1492.0410 - val_tf_pmse_5HT: 4691.8707 - val_tf_pmse_pH: 0.3398 - val_tf_pmse_NE: 1047.0546\n",
      "Epoch 8/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.1429 - tf_pmse_DA: 487.3169 - tf_pmse_5HT: 423.7220 - tf_pmse_pH: 0.0683 - tf_pmse_NE: 375.8150 - val_loss: 6.8376 - val_tf_pmse_DA: 1757.5179 - val_tf_pmse_5HT: 4475.5161 - val_tf_pmse_pH: 0.3438 - val_tf_pmse_NE: 1064.8722\n",
      "Epoch 9/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.1328 - tf_pmse_DA: 468.3964 - tf_pmse_5HT: 404.3450 - tf_pmse_pH: 0.0668 - tf_pmse_NE: 363.3820 - val_loss: 6.2950 - val_tf_pmse_DA: 1206.1289 - val_tf_pmse_5HT: 4390.3723 - val_tf_pmse_pH: 0.3761 - val_tf_pmse_NE: 1101.1398\n",
      "Epoch 10/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.1258 - tf_pmse_DA: 457.2942 - tf_pmse_5HT: 389.8529 - tf_pmse_pH: 0.0655 - tf_pmse_NE: 354.2371 - val_loss: 5.8886 - val_tf_pmse_DA: 1339.1380 - val_tf_pmse_5HT: 4193.0410 - val_tf_pmse_pH: 0.3188 - val_tf_pmse_NE: 1098.2576\n",
      "Epoch 11/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.1104 - tf_pmse_DA: 431.9841 - tf_pmse_5HT: 358.7682 - tf_pmse_pH: 0.0603 - tf_pmse_NE: 335.6656 - val_loss: 6.3332 - val_tf_pmse_DA: 1584.3548 - val_tf_pmse_5HT: 4307.7119 - val_tf_pmse_pH: 0.3642 - val_tf_pmse_NE: 1029.1428\n",
      "Epoch 12/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.1045 - tf_pmse_DA: 418.6885 - tf_pmse_5HT: 347.7231 - tf_pmse_pH: 0.0602 - tf_pmse_NE: 326.2491 - val_loss: 5.8446 - val_tf_pmse_DA: 1328.7894 - val_tf_pmse_5HT: 4056.6116 - val_tf_pmse_pH: 0.3435 - val_tf_pmse_NE: 1342.3958\n",
      "Epoch 13/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.1024 - tf_pmse_DA: 412.6970 - tf_pmse_5HT: 346.9181 - tf_pmse_pH: 0.0586 - tf_pmse_NE: 323.5075 - val_loss: 6.6423 - val_tf_pmse_DA: 1293.9914 - val_tf_pmse_5HT: 4462.0775 - val_tf_pmse_pH: 0.3411 - val_tf_pmse_NE: 1317.9752\n",
      "Epoch 14/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0965 - tf_pmse_DA: 402.5615 - tf_pmse_5HT: 328.1712 - tf_pmse_pH: 0.0577 - tf_pmse_NE: 317.7277 - val_loss: 6.6553 - val_tf_pmse_DA: 1151.8835 - val_tf_pmse_5HT: 4586.5339 - val_tf_pmse_pH: 0.2925 - val_tf_pmse_NE: 1179.8034\n",
      "Epoch 15/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0936 - tf_pmse_DA: 395.2714 - tf_pmse_5HT: 327.1684 - tf_pmse_pH: 0.0563 - tf_pmse_NE: 311.9801 - val_loss: 4.5428 - val_tf_pmse_DA: 1498.8207 - val_tf_pmse_5HT: 3340.3562 - val_tf_pmse_pH: 0.3300 - val_tf_pmse_NE: 1196.0332\n",
      "Epoch 16/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0888 - tf_pmse_DA: 384.8751 - tf_pmse_5HT: 318.7539 - tf_pmse_pH: 0.0552 - tf_pmse_NE: 301.9221 - val_loss: 7.6073 - val_tf_pmse_DA: 1240.8535 - val_tf_pmse_5HT: 4932.0018 - val_tf_pmse_pH: 0.3334 - val_tf_pmse_NE: 1266.6179\n",
      "Epoch 17/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0890 - tf_pmse_DA: 383.8524 - tf_pmse_5HT: 316.6731 - tf_pmse_pH: 0.0568 - tf_pmse_NE: 302.0777 - val_loss: 5.2052 - val_tf_pmse_DA: 1313.8734 - val_tf_pmse_5HT: 3839.0744 - val_tf_pmse_pH: 0.3132 - val_tf_pmse_NE: 1091.1303\n",
      "Epoch 18/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0809 - tf_pmse_DA: 365.8509 - tf_pmse_5HT: 298.2373 - tf_pmse_pH: 0.0543 - tf_pmse_NE: 293.7270 - val_loss: 5.7622 - val_tf_pmse_DA: 1421.8387 - val_tf_pmse_5HT: 3971.7409 - val_tf_pmse_pH: 0.4070 - val_tf_pmse_NE: 1175.0871\n",
      "Epoch 19/100\n",
      "39600/39600 [==============================] - 37s 939us/step - loss: 0.0798 - tf_pmse_DA: 365.3651 - tf_pmse_5HT: 295.1389 - tf_pmse_pH: 0.0520 - tf_pmse_NE: 292.4744 - val_loss: 5.8996 - val_tf_pmse_DA: 1525.9266 - val_tf_pmse_5HT: 4180.6381 - val_tf_pmse_pH: 0.2812 - val_tf_pmse_NE: 1070.2640\n",
      "Epoch 20/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.0792 - tf_pmse_DA: 357.3478 - tf_pmse_5HT: 297.3736 - tf_pmse_pH: 0.0541 - tf_pmse_NE: 290.4822 - val_loss: 3.8188 - val_tf_pmse_DA: 1611.8410 - val_tf_pmse_5HT: 2906.4430 - val_tf_pmse_pH: 0.3641 - val_tf_pmse_NE: 1007.3833\n",
      "Epoch 21/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0750 - tf_pmse_DA: 348.5294 - tf_pmse_5HT: 290.4223 - tf_pmse_pH: 0.0519 - tf_pmse_NE: 280.9671 - val_loss: 5.7848 - val_tf_pmse_DA: 1561.4598 - val_tf_pmse_5HT: 4048.8549 - val_tf_pmse_pH: 0.2726 - val_tf_pmse_NE: 1241.8927\n",
      "Epoch 22/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0812 - tf_pmse_DA: 369.6824 - tf_pmse_5HT: 294.7978 - tf_pmse_pH: 0.0534 - tf_pmse_NE: 292.6148 - val_loss: 4.7619 - val_tf_pmse_DA: 1820.5439 - val_tf_pmse_5HT: 3285.9300 - val_tf_pmse_pH: 0.3682 - val_tf_pmse_NE: 1187.1721\n",
      "Epoch 23/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0732 - tf_pmse_DA: 345.7010 - tf_pmse_5HT: 288.6307 - tf_pmse_pH: 0.0505 - tf_pmse_NE: 276.1299 - val_loss: 3.9406 - val_tf_pmse_DA: 1439.2514 - val_tf_pmse_5HT: 2996.9416 - val_tf_pmse_pH: 0.3632 - val_tf_pmse_NE: 1153.3420\n",
      "Epoch 24/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0702 - tf_pmse_DA: 338.7614 - tf_pmse_5HT: 275.6846 - tf_pmse_pH: 0.0504 - tf_pmse_NE: 275.6371 - val_loss: 4.6366 - val_tf_pmse_DA: 1364.8085 - val_tf_pmse_5HT: 3359.3252 - val_tf_pmse_pH: 0.4521 - val_tf_pmse_NE: 1082.6306\n",
      "Epoch 25/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0662 - tf_pmse_DA: 328.2943 - tf_pmse_5HT: 266.3479 - tf_pmse_pH: 0.0515 - tf_pmse_NE: 262.4350 - val_loss: 4.7831 - val_tf_pmse_DA: 1568.4128 - val_tf_pmse_5HT: 3402.1025 - val_tf_pmse_pH: 0.3966 - val_tf_pmse_NE: 1146.2256\n",
      "Epoch 26/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0674 - tf_pmse_DA: 331.2479 - tf_pmse_5HT: 272.0896 - tf_pmse_pH: 0.0500 - tf_pmse_NE: 266.2871 - val_loss: 3.8897 - val_tf_pmse_DA: 1565.6669 - val_tf_pmse_5HT: 2792.1474 - val_tf_pmse_pH: 0.3595 - val_tf_pmse_NE: 1373.8670\n",
      "Epoch 27/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0673 - tf_pmse_DA: 330.2634 - tf_pmse_5HT: 271.9603 - tf_pmse_pH: 0.0503 - tf_pmse_NE: 264.2248 - val_loss: 4.7096 - val_tf_pmse_DA: 1328.3883 - val_tf_pmse_5HT: 3449.1102 - val_tf_pmse_pH: 0.4362 - val_tf_pmse_NE: 1060.8907\n",
      "Epoch 28/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0656 - tf_pmse_DA: 325.4142 - tf_pmse_5HT: 263.7075 - tf_pmse_pH: 0.0519 - tf_pmse_NE: 261.9348 - val_loss: 4.1482 - val_tf_pmse_DA: 1569.4241 - val_tf_pmse_5HT: 3155.2626 - val_tf_pmse_pH: 0.3302 - val_tf_pmse_NE: 1039.9506\n",
      "Epoch 29/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0649 - tf_pmse_DA: 326.8744 - tf_pmse_5HT: 261.6588 - tf_pmse_pH: 0.0493 - tf_pmse_NE: 263.0211 - val_loss: 2.4221 - val_tf_pmse_DA: 1403.5734 - val_tf_pmse_5HT: 1965.2047 - val_tf_pmse_pH: 0.3379 - val_tf_pmse_NE: 1089.4925\n",
      "Epoch 30/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0645 - tf_pmse_DA: 325.9781 - tf_pmse_5HT: 262.9369 - tf_pmse_pH: 0.0489 - tf_pmse_NE: 259.2489 - val_loss: 4.5203 - val_tf_pmse_DA: 1544.8991 - val_tf_pmse_5HT: 3476.4244 - val_tf_pmse_pH: 0.2872 - val_tf_pmse_NE: 1020.2806\n",
      "Epoch 31/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0598 - tf_pmse_DA: 309.9852 - tf_pmse_5HT: 254.3107 - tf_pmse_pH: 0.0465 - tf_pmse_NE: 253.7282 - val_loss: 4.4146 - val_tf_pmse_DA: 1403.1195 - val_tf_pmse_5HT: 3311.0035 - val_tf_pmse_pH: 0.4082 - val_tf_pmse_NE: 1029.1986\n",
      "Epoch 32/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0595 - tf_pmse_DA: 310.1031 - tf_pmse_5HT: 250.7790 - tf_pmse_pH: 0.0480 - tf_pmse_NE: 249.7998 - val_loss: 4.5960 - val_tf_pmse_DA: 1662.7454 - val_tf_pmse_5HT: 3123.3270 - val_tf_pmse_pH: 0.4226 - val_tf_pmse_NE: 1366.5801\n",
      "Epoch 33/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0593 - tf_pmse_DA: 308.3538 - tf_pmse_5HT: 253.7485 - tf_pmse_pH: 0.0471 - tf_pmse_NE: 251.1638 - val_loss: 3.0857 - val_tf_pmse_DA: 1520.6201 - val_tf_pmse_5HT: 2549.2382 - val_tf_pmse_pH: 0.2714 - val_tf_pmse_NE: 1024.5353\n",
      "Epoch 34/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0604 - tf_pmse_DA: 311.9246 - tf_pmse_5HT: 253.8734 - tf_pmse_pH: 0.0482 - tf_pmse_NE: 253.5704 - val_loss: 3.0237 - val_tf_pmse_DA: 1308.9318 - val_tf_pmse_5HT: 2347.2921 - val_tf_pmse_pH: 0.4144 - val_tf_pmse_NE: 1063.5911\n",
      "Epoch 35/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0647 - tf_pmse_DA: 324.5945 - tf_pmse_5HT: 266.5246 - tf_pmse_pH: 0.0475 - tf_pmse_NE: 259.3626 - val_loss: 3.7295 - val_tf_pmse_DA: 1683.4676 - val_tf_pmse_5HT: 2869.9682 - val_tf_pmse_pH: 0.2977 - val_tf_pmse_NE: 1046.2861\n",
      "Epoch 36/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0564 - tf_pmse_DA: 304.1501 - tf_pmse_5HT: 238.7630 - tf_pmse_pH: 0.0462 - tf_pmse_NE: 250.6817 - val_loss: 4.0015 - val_tf_pmse_DA: 1565.6799 - val_tf_pmse_5HT: 3019.9439 - val_tf_pmse_pH: 0.3701 - val_tf_pmse_NE: 1048.4098\n",
      "Epoch 37/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0556 - tf_pmse_DA: 297.5563 - tf_pmse_5HT: 244.6485 - tf_pmse_pH: 0.0463 - tf_pmse_NE: 243.1980 - val_loss: 4.1610 - val_tf_pmse_DA: 1481.8075 - val_tf_pmse_5HT: 3192.1968 - val_tf_pmse_pH: 0.3889 - val_tf_pmse_NE: 1010.4037\n",
      "Epoch 38/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0570 - tf_pmse_DA: 305.2482 - tf_pmse_5HT: 246.8629 - tf_pmse_pH: 0.0466 - tf_pmse_NE: 245.4282 - val_loss: 4.2866 - val_tf_pmse_DA: 1441.5550 - val_tf_pmse_5HT: 3286.3488 - val_tf_pmse_pH: 0.3447 - val_tf_pmse_NE: 1097.9743\n",
      "Epoch 39/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0543 - tf_pmse_DA: 290.4140 - tf_pmse_5HT: 239.7179 - tf_pmse_pH: 0.0457 - tf_pmse_NE: 242.0590 - val_loss: 3.6962 - val_tf_pmse_DA: 1288.5795 - val_tf_pmse_5HT: 2900.5618 - val_tf_pmse_pH: 0.4242 - val_tf_pmse_NE: 1005.9972\n",
      "Epoch 40/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0551 - tf_pmse_DA: 295.5188 - tf_pmse_5HT: 241.1475 - tf_pmse_pH: 0.0462 - tf_pmse_NE: 244.6847 - val_loss: 3.7375 - val_tf_pmse_DA: 1224.8028 - val_tf_pmse_5HT: 3120.5427 - val_tf_pmse_pH: 0.2824 - val_tf_pmse_NE: 1019.7464\n",
      "Epoch 41/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0520 - tf_pmse_DA: 287.2247 - tf_pmse_5HT: 235.8307 - tf_pmse_pH: 0.0448 - tf_pmse_NE: 237.3195 - val_loss: 3.3517 - val_tf_pmse_DA: 1878.8453 - val_tf_pmse_5HT: 2330.4184 - val_tf_pmse_pH: 0.4135 - val_tf_pmse_NE: 982.3557\n",
      "Epoch 42/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0540 - tf_pmse_DA: 297.4467 - tf_pmse_5HT: 235.2932 - tf_pmse_pH: 0.0469 - tf_pmse_NE: 237.8047 - val_loss: 2.9759 - val_tf_pmse_DA: 1816.0527 - val_tf_pmse_5HT: 2330.7522 - val_tf_pmse_pH: 0.2514 - val_tf_pmse_NE: 1005.7450\n",
      "Epoch 43/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0564 - tf_pmse_DA: 302.7779 - tf_pmse_5HT: 244.3219 - tf_pmse_pH: 0.0444 - tf_pmse_NE: 246.6238 - val_loss: 3.9962 - val_tf_pmse_DA: 1632.5137 - val_tf_pmse_5HT: 2847.2875 - val_tf_pmse_pH: 0.4867 - val_tf_pmse_NE: 996.4740\n",
      "Epoch 44/100\n",
      "39600/39600 [==============================] - 37s 929us/step - loss: 0.0529 - tf_pmse_DA: 294.6487 - tf_pmse_5HT: 234.5932 - tf_pmse_pH: 0.0443 - tf_pmse_NE: 237.6054 - val_loss: 2.8329 - val_tf_pmse_DA: 1427.9125 - val_tf_pmse_5HT: 2435.5379 - val_tf_pmse_pH: 0.2676 - val_tf_pmse_NE: 1001.5812\n",
      "Epoch 45/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0509 - tf_pmse_DA: 291.3454 - tf_pmse_5HT: 227.3338 - tf_pmse_pH: 0.0440 - tf_pmse_NE: 232.5734 - val_loss: 4.2313 - val_tf_pmse_DA: 1446.6803 - val_tf_pmse_5HT: 3230.2524 - val_tf_pmse_pH: 0.4160 - val_tf_pmse_NE: 1073.1680\n",
      "Epoch 46/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0520 - tf_pmse_DA: 291.0278 - tf_pmse_5HT: 238.6956 - tf_pmse_pH: 0.0442 - tf_pmse_NE: 229.0483 - val_loss: 3.7939 - val_tf_pmse_DA: 1268.4397 - val_tf_pmse_5HT: 2981.5450 - val_tf_pmse_pH: 0.4361 - val_tf_pmse_NE: 978.0837\n",
      "Epoch 47/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0527 - tf_pmse_DA: 292.5689 - tf_pmse_5HT: 236.2043 - tf_pmse_pH: 0.0450 - tf_pmse_NE: 235.9141 - val_loss: 2.7995 - val_tf_pmse_DA: 1245.2985 - val_tf_pmse_5HT: 2364.1683 - val_tf_pmse_pH: 0.3921 - val_tf_pmse_NE: 1040.7934\n",
      "Epoch 48/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0529 - tf_pmse_DA: 289.5206 - tf_pmse_5HT: 242.4474 - tf_pmse_pH: 0.0448 - tf_pmse_NE: 234.1236 - val_loss: 3.0824 - val_tf_pmse_DA: 1669.7145 - val_tf_pmse_5HT: 2265.6682 - val_tf_pmse_pH: 0.3780 - val_tf_pmse_NE: 1075.7306\n",
      "Epoch 49/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0530 - tf_pmse_DA: 290.9462 - tf_pmse_5HT: 235.7336 - tf_pmse_pH: 0.0456 - tf_pmse_NE: 237.4723 - val_loss: 3.1332 - val_tf_pmse_DA: 1422.8206 - val_tf_pmse_5HT: 2432.7268 - val_tf_pmse_pH: 0.4175 - val_tf_pmse_NE: 1039.9095\n",
      "Epoch 50/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0517 - tf_pmse_DA: 287.5126 - tf_pmse_5HT: 234.9308 - tf_pmse_pH: 0.0451 - tf_pmse_NE: 231.6788 - val_loss: 2.9865 - val_tf_pmse_DA: 1646.6146 - val_tf_pmse_5HT: 2180.0276 - val_tf_pmse_pH: 0.4314 - val_tf_pmse_NE: 1119.3828\n",
      "Epoch 51/100\n",
      "39600/39600 [==============================] - 37s 928us/step - loss: 0.0474 - tf_pmse_DA: 275.1137 - tf_pmse_5HT: 221.7629 - tf_pmse_pH: 0.0435 - tf_pmse_NE: 226.5217 - val_loss: 3.5892 - val_tf_pmse_DA: 1654.3085 - val_tf_pmse_5HT: 2710.5139 - val_tf_pmse_pH: 0.3915 - val_tf_pmse_NE: 989.4735\n",
      "Epoch 52/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0464 - tf_pmse_DA: 273.3512 - tf_pmse_5HT: 219.5206 - tf_pmse_pH: 0.0427 - tf_pmse_NE: 222.5884 - val_loss: 4.1169 - val_tf_pmse_DA: 1849.7854 - val_tf_pmse_5HT: 2869.0804 - val_tf_pmse_pH: 0.4503 - val_tf_pmse_NE: 991.4404\n",
      "Epoch 53/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0473 - tf_pmse_DA: 273.3745 - tf_pmse_5HT: 224.4476 - tf_pmse_pH: 0.0435 - tf_pmse_NE: 223.0758 - val_loss: 2.8097 - val_tf_pmse_DA: 1540.6634 - val_tf_pmse_5HT: 2091.9283 - val_tf_pmse_pH: 0.4439 - val_tf_pmse_NE: 1006.1135\n",
      "Epoch 54/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0482 - tf_pmse_DA: 278.2593 - tf_pmse_5HT: 222.6933 - tf_pmse_pH: 0.0422 - tf_pmse_NE: 230.3488 - val_loss: 2.9117 - val_tf_pmse_DA: 1410.6284 - val_tf_pmse_5HT: 2389.6711 - val_tf_pmse_pH: 0.3721 - val_tf_pmse_NE: 1010.1483\n",
      "Epoch 55/100\n",
      "39600/39600 [==============================] - 37s 943us/step - loss: 0.0466 - tf_pmse_DA: 271.9909 - tf_pmse_5HT: 222.6946 - tf_pmse_pH: 0.0428 - tf_pmse_NE: 220.4214 - val_loss: 3.3361 - val_tf_pmse_DA: 1399.0701 - val_tf_pmse_5HT: 2348.7018 - val_tf_pmse_pH: 0.5492 - val_tf_pmse_NE: 1004.1182\n",
      "Epoch 56/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.0529 - tf_pmse_DA: 291.8246 - tf_pmse_5HT: 240.8509 - tf_pmse_pH: 0.0440 - tf_pmse_NE: 234.3582 - val_loss: 3.0374 - val_tf_pmse_DA: 1406.2995 - val_tf_pmse_5HT: 2412.4165 - val_tf_pmse_pH: 0.4197 - val_tf_pmse_NE: 1068.2610\n",
      "Epoch 57/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0447 - tf_pmse_DA: 264.8456 - tf_pmse_5HT: 210.9281 - tf_pmse_pH: 0.0439 - tf_pmse_NE: 221.2203 - val_loss: 3.4383 - val_tf_pmse_DA: 1478.1590 - val_tf_pmse_5HT: 2813.4342 - val_tf_pmse_pH: 0.3436 - val_tf_pmse_NE: 974.6864\n",
      "Epoch 58/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0445 - tf_pmse_DA: 269.5833 - tf_pmse_5HT: 215.0422 - tf_pmse_pH: 0.0396 - tf_pmse_NE: 217.0099 - val_loss: 2.6306 - val_tf_pmse_DA: 1495.5321 - val_tf_pmse_5HT: 2232.1506 - val_tf_pmse_pH: 0.2947 - val_tf_pmse_NE: 1063.8869\n",
      "Epoch 59/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0426 - tf_pmse_DA: 264.8731 - tf_pmse_5HT: 205.1740 - tf_pmse_pH: 0.0404 - tf_pmse_NE: 214.5144 - val_loss: 2.5029 - val_tf_pmse_DA: 1541.1965 - val_tf_pmse_5HT: 2026.3271 - val_tf_pmse_pH: 0.3306 - val_tf_pmse_NE: 1022.5234\n",
      "Epoch 60/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0445 - tf_pmse_DA: 268.4962 - tf_pmse_5HT: 217.7320 - tf_pmse_pH: 0.0414 - tf_pmse_NE: 214.3429 - val_loss: 2.5850 - val_tf_pmse_DA: 1269.7661 - val_tf_pmse_5HT: 1940.0876 - val_tf_pmse_pH: 0.4813 - val_tf_pmse_NE: 999.0191\n",
      "Epoch 61/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0512 - tf_pmse_DA: 283.3867 - tf_pmse_5HT: 235.8120 - tf_pmse_pH: 0.0438 - tf_pmse_NE: 233.3554 - val_loss: 2.5276 - val_tf_pmse_DA: 1729.6952 - val_tf_pmse_5HT: 1726.5755 - val_tf_pmse_pH: 0.4036 - val_tf_pmse_NE: 986.9089\n",
      "Epoch 62/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0430 - tf_pmse_DA: 263.4035 - tf_pmse_5HT: 208.3616 - tf_pmse_pH: 0.0410 - tf_pmse_NE: 211.6732 - val_loss: 2.7092 - val_tf_pmse_DA: 1397.7313 - val_tf_pmse_5HT: 2037.9123 - val_tf_pmse_pH: 0.4626 - val_tf_pmse_NE: 1031.5745\n",
      "Epoch 63/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0432 - tf_pmse_DA: 264.0602 - tf_pmse_5HT: 213.0389 - tf_pmse_pH: 0.0415 - tf_pmse_NE: 211.4272 - val_loss: 3.0025 - val_tf_pmse_DA: 1794.4675 - val_tf_pmse_5HT: 1974.9121 - val_tf_pmse_pH: 0.4722 - val_tf_pmse_NE: 993.2600\n",
      "Epoch 64/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0460 - tf_pmse_DA: 267.7985 - tf_pmse_5HT: 222.7398 - tf_pmse_pH: 0.0419 - tf_pmse_NE: 220.4309 - val_loss: 2.9616 - val_tf_pmse_DA: 1481.1367 - val_tf_pmse_5HT: 2079.4802 - val_tf_pmse_pH: 0.4968 - val_tf_pmse_NE: 1007.2742\n",
      "Epoch 65/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0415 - tf_pmse_DA: 257.7020 - tf_pmse_5HT: 207.4405 - tf_pmse_pH: 0.0407 - tf_pmse_NE: 208.3962 - val_loss: 3.0876 - val_tf_pmse_DA: 1435.8835 - val_tf_pmse_5HT: 2221.0461 - val_tf_pmse_pH: 0.4736 - val_tf_pmse_NE: 1074.0256\n",
      "Epoch 66/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0423 - tf_pmse_DA: 258.9600 - tf_pmse_5HT: 208.6224 - tf_pmse_pH: 0.0412 - tf_pmse_NE: 212.0184 - val_loss: 3.0522 - val_tf_pmse_DA: 1598.5661 - val_tf_pmse_5HT: 2484.3467 - val_tf_pmse_pH: 0.2740 - val_tf_pmse_NE: 1165.3448\n",
      "Epoch 67/100\n",
      "39600/39600 [==============================] - 37s 938us/step - loss: 0.0442 - tf_pmse_DA: 272.2296 - tf_pmse_5HT: 216.2974 - tf_pmse_pH: 0.0399 - tf_pmse_NE: 211.7301 - val_loss: 2.2438 - val_tf_pmse_DA: 1632.2726 - val_tf_pmse_5HT: 1616.6987 - val_tf_pmse_pH: 0.3411 - val_tf_pmse_NE: 994.9790\n",
      "Epoch 68/100\n",
      "39600/39600 [==============================] - 37s 942us/step - loss: 0.0424 - tf_pmse_DA: 259.6366 - tf_pmse_5HT: 206.7856 - tf_pmse_pH: 0.0423 - tf_pmse_NE: 210.4617 - val_loss: 4.6039 - val_tf_pmse_DA: 2420.8044 - val_tf_pmse_5HT: 2670.9300 - val_tf_pmse_pH: 0.5063 - val_tf_pmse_NE: 1050.4580\n",
      "Epoch 69/100\n",
      "39600/39600 [==============================] - 37s 934us/step - loss: 0.0402 - tf_pmse_DA: 248.8898 - tf_pmse_5HT: 208.0762 - tf_pmse_pH: 0.0403 - tf_pmse_NE: 205.8323 - val_loss: 3.9196 - val_tf_pmse_DA: 1498.1366 - val_tf_pmse_5HT: 2940.6987 - val_tf_pmse_pH: 0.4440 - val_tf_pmse_NE: 994.8885\n",
      "Epoch 70/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0453 - tf_pmse_DA: 266.4318 - tf_pmse_5HT: 218.0630 - tf_pmse_pH: 0.0415 - tf_pmse_NE: 221.9241 - val_loss: 3.2548 - val_tf_pmse_DA: 1657.9180 - val_tf_pmse_5HT: 2257.3242 - val_tf_pmse_pH: 0.4976 - val_tf_pmse_NE: 1018.8477\n",
      "Epoch 71/100\n",
      "39600/39600 [==============================] - 37s 930us/step - loss: 0.0412 - tf_pmse_DA: 251.3535 - tf_pmse_5HT: 208.4304 - tf_pmse_pH: 0.0411 - tf_pmse_NE: 208.1079 - val_loss: 3.5383 - val_tf_pmse_DA: 1698.9184 - val_tf_pmse_5HT: 2784.4466 - val_tf_pmse_pH: 0.2869 - val_tf_pmse_NE: 1150.8384\n",
      "Epoch 72/100\n",
      "39600/39600 [==============================] - 37s 939us/step - loss: 0.0383 - tf_pmse_DA: 244.2462 - tf_pmse_5HT: 194.7940 - tf_pmse_pH: 0.0406 - tf_pmse_NE: 201.9949 - val_loss: 3.2516 - val_tf_pmse_DA: 1894.8468 - val_tf_pmse_5HT: 2318.4616 - val_tf_pmse_pH: 0.3571 - val_tf_pmse_NE: 1135.6733\n",
      "Epoch 73/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0403 - tf_pmse_DA: 254.2037 - tf_pmse_5HT: 205.4675 - tf_pmse_pH: 0.0395 - tf_pmse_NE: 205.8882 - val_loss: 3.7909 - val_tf_pmse_DA: 1595.8175 - val_tf_pmse_5HT: 2536.1177 - val_tf_pmse_pH: 0.5787 - val_tf_pmse_NE: 1002.3115\n",
      "Epoch 74/100\n",
      "39600/39600 [==============================] - 37s 941us/step - loss: 0.0352 - tf_pmse_DA: 232.9771 - tf_pmse_5HT: 189.7938 - tf_pmse_pH: 0.0390 - tf_pmse_NE: 196.1575 - val_loss: 2.8098 - val_tf_pmse_DA: 1840.4760 - val_tf_pmse_5HT: 1807.4546 - val_tf_pmse_pH: 0.4437 - val_tf_pmse_NE: 1005.8819\n",
      "Epoch 75/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0466 - tf_pmse_DA: 270.2920 - tf_pmse_5HT: 226.7657 - tf_pmse_pH: 0.0412 - tf_pmse_NE: 220.4916 - val_loss: 2.5052 - val_tf_pmse_DA: 1892.7737 - val_tf_pmse_5HT: 1597.9126 - val_tf_pmse_pH: 0.3640 - val_tf_pmse_NE: 1002.5332\n",
      "Epoch 76/100\n",
      "39600/39600 [==============================] - 37s 933us/step - loss: 0.0416 - tf_pmse_DA: 259.5845 - tf_pmse_5HT: 205.4544 - tf_pmse_pH: 0.0423 - tf_pmse_NE: 204.5652 - val_loss: 2.6627 - val_tf_pmse_DA: 1678.3780 - val_tf_pmse_5HT: 1906.3439 - val_tf_pmse_pH: 0.4069 - val_tf_pmse_NE: 1072.6550\n",
      "Epoch 77/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0444 - tf_pmse_DA: 268.0747 - tf_pmse_5HT: 216.5658 - tf_pmse_pH: 0.0421 - tf_pmse_NE: 211.4989 - val_loss: 4.3524 - val_tf_pmse_DA: 1736.5227 - val_tf_pmse_5HT: 3050.6226 - val_tf_pmse_pH: 0.4658 - val_tf_pmse_NE: 1195.9056\n",
      "Epoch 78/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0388 - tf_pmse_DA: 247.4854 - tf_pmse_5HT: 203.1358 - tf_pmse_pH: 0.0395 - tf_pmse_NE: 199.4139 - val_loss: 3.0757 - val_tf_pmse_DA: 1837.2026 - val_tf_pmse_5HT: 1910.5756 - val_tf_pmse_pH: 0.4961 - val_tf_pmse_NE: 998.3310\n",
      "Epoch 79/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0421 - tf_pmse_DA: 258.1145 - tf_pmse_5HT: 210.9869 - tf_pmse_pH: 0.0398 - tf_pmse_NE: 211.7959 - val_loss: 3.4360 - val_tf_pmse_DA: 1637.7006 - val_tf_pmse_5HT: 2495.8150 - val_tf_pmse_pH: 0.4234 - val_tf_pmse_NE: 1045.9512\n",
      "Epoch 80/100\n",
      "39600/39600 [==============================] - 37s 939us/step - loss: 0.0374 - tf_pmse_DA: 249.2180 - tf_pmse_5HT: 190.9452 - tf_pmse_pH: 0.0398 - tf_pmse_NE: 195.7518 - val_loss: 3.4770 - val_tf_pmse_DA: 1678.7456 - val_tf_pmse_5HT: 2429.8001 - val_tf_pmse_pH: 0.4785 - val_tf_pmse_NE: 1161.6428\n",
      "Epoch 81/100\n",
      "39600/39600 [==============================] - 37s 939us/step - loss: 0.0399 - tf_pmse_DA: 252.8340 - tf_pmse_5HT: 204.7369 - tf_pmse_pH: 0.0384 - tf_pmse_NE: 207.3468 - val_loss: 3.3112 - val_tf_pmse_DA: 1734.2661 - val_tf_pmse_5HT: 2058.8757 - val_tf_pmse_pH: 0.5698 - val_tf_pmse_NE: 1079.3842\n",
      "Epoch 82/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0398 - tf_pmse_DA: 253.2876 - tf_pmse_5HT: 205.9734 - tf_pmse_pH: 0.0382 - tf_pmse_NE: 203.8691 - val_loss: 2.8960 - val_tf_pmse_DA: 1567.0846 - val_tf_pmse_5HT: 2161.1750 - val_tf_pmse_pH: 0.4343 - val_tf_pmse_NE: 1012.8677\n",
      "Epoch 83/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0383 - tf_pmse_DA: 248.2392 - tf_pmse_5HT: 192.8976 - tf_pmse_pH: 0.0388 - tf_pmse_NE: 206.3013 - val_loss: 2.5041 - val_tf_pmse_DA: 1595.7173 - val_tf_pmse_5HT: 1403.0000 - val_tf_pmse_pH: 0.5369 - val_tf_pmse_NE: 985.4196\n",
      "Epoch 84/100\n",
      "39600/39600 [==============================] - 37s 938us/step - loss: 0.0410 - tf_pmse_DA: 257.9252 - tf_pmse_5HT: 204.6823 - tf_pmse_pH: 0.0404 - tf_pmse_NE: 206.4690 - val_loss: 2.0394 - val_tf_pmse_DA: 1396.6925 - val_tf_pmse_5HT: 1380.7170 - val_tf_pmse_pH: 0.4165 - val_tf_pmse_NE: 1105.2805\n",
      "Epoch 85/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.0402 - tf_pmse_DA: 250.2949 - tf_pmse_5HT: 211.2069 - tf_pmse_pH: 0.0387 - tf_pmse_NE: 203.9965 - val_loss: 3.9497 - val_tf_pmse_DA: 1997.3311 - val_tf_pmse_5HT: 2592.8715 - val_tf_pmse_pH: 0.4718 - val_tf_pmse_NE: 1021.2450\n",
      "Epoch 86/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.0387 - tf_pmse_DA: 246.2831 - tf_pmse_5HT: 200.9398 - tf_pmse_pH: 0.0390 - tf_pmse_NE: 200.7749 - val_loss: 2.4242 - val_tf_pmse_DA: 1376.3633 - val_tf_pmse_5HT: 1906.2110 - val_tf_pmse_pH: 0.3997 - val_tf_pmse_NE: 1087.5539\n",
      "Epoch 87/100\n",
      "39600/39600 [==============================] - 37s 937us/step - loss: 0.0364 - tf_pmse_DA: 238.0185 - tf_pmse_5HT: 195.1363 - tf_pmse_pH: 0.0370 - tf_pmse_NE: 199.2236 - val_loss: 2.7779 - val_tf_pmse_DA: 1321.1602 - val_tf_pmse_5HT: 2268.9301 - val_tf_pmse_pH: 0.3990 - val_tf_pmse_NE: 1039.0799\n",
      "Epoch 88/100\n",
      "39600/39600 [==============================] - 37s 938us/step - loss: 0.0393 - tf_pmse_DA: 257.1643 - tf_pmse_5HT: 194.9042 - tf_pmse_pH: 0.0376 - tf_pmse_NE: 206.7689 - val_loss: 2.7238 - val_tf_pmse_DA: 1690.7382 - val_tf_pmse_5HT: 1894.4980 - val_tf_pmse_pH: 0.4267 - val_tf_pmse_NE: 1072.2048\n",
      "Epoch 89/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0370 - tf_pmse_DA: 239.7786 - tf_pmse_5HT: 198.6345 - tf_pmse_pH: 0.0384 - tf_pmse_NE: 196.5106 - val_loss: 2.7878 - val_tf_pmse_DA: 1806.5673 - val_tf_pmse_5HT: 1956.1579 - val_tf_pmse_pH: 0.3733 - val_tf_pmse_NE: 1141.0910\n",
      "Epoch 90/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0362 - tf_pmse_DA: 238.5293 - tf_pmse_5HT: 197.2036 - tf_pmse_pH: 0.0387 - tf_pmse_NE: 191.1210 - val_loss: 2.1340 - val_tf_pmse_DA: 1335.7264 - val_tf_pmse_5HT: 1609.8991 - val_tf_pmse_pH: 0.3966 - val_tf_pmse_NE: 1158.2187\n",
      "Epoch 91/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0363 - tf_pmse_DA: 238.1657 - tf_pmse_5HT: 196.1780 - tf_pmse_pH: 0.0385 - tf_pmse_NE: 195.1816 - val_loss: 2.3964 - val_tf_pmse_DA: 1286.5152 - val_tf_pmse_5HT: 1779.2172 - val_tf_pmse_pH: 0.4652 - val_tf_pmse_NE: 1007.1700\n",
      "Epoch 92/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0378 - tf_pmse_DA: 248.9088 - tf_pmse_5HT: 195.5109 - tf_pmse_pH: 0.0383 - tf_pmse_NE: 200.8943 - val_loss: 2.2314 - val_tf_pmse_DA: 1388.4356 - val_tf_pmse_5HT: 1923.5498 - val_tf_pmse_pH: 0.2462 - val_tf_pmse_NE: 1235.5747\n",
      "Epoch 93/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0398 - tf_pmse_DA: 251.4519 - tf_pmse_5HT: 207.1848 - tf_pmse_pH: 0.0394 - tf_pmse_NE: 200.8986 - val_loss: 3.0515 - val_tf_pmse_DA: 1925.8253 - val_tf_pmse_5HT: 2043.4433 - val_tf_pmse_pH: 0.4176 - val_tf_pmse_NE: 993.1484\n",
      "Epoch 94/100\n",
      "39600/39600 [==============================] - 37s 935us/step - loss: 0.0365 - tf_pmse_DA: 244.3854 - tf_pmse_5HT: 188.5094 - tf_pmse_pH: 0.0380 - tf_pmse_NE: 194.7541 - val_loss: 2.5564 - val_tf_pmse_DA: 1165.4192 - val_tf_pmse_5HT: 2075.2184 - val_tf_pmse_pH: 0.4234 - val_tf_pmse_NE: 1024.4135\n",
      "Epoch 95/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0388 - tf_pmse_DA: 247.6290 - tf_pmse_5HT: 201.8634 - tf_pmse_pH: 0.0396 - tf_pmse_NE: 200.1773 - val_loss: 2.8465 - val_tf_pmse_DA: 1569.4811 - val_tf_pmse_5HT: 1488.7404 - val_tf_pmse_pH: 0.6214 - val_tf_pmse_NE: 1017.3718\n",
      "Epoch 96/100\n",
      "39600/39600 [==============================] - 37s 940us/step - loss: 0.0344 - tf_pmse_DA: 233.8723 - tf_pmse_5HT: 189.2827 - tf_pmse_pH: 0.0386 - tf_pmse_NE: 187.1150 - val_loss: 3.5770 - val_tf_pmse_DA: 1607.6422 - val_tf_pmse_5HT: 2655.6474 - val_tf_pmse_pH: 0.4403 - val_tf_pmse_NE: 1056.3371\n",
      "Epoch 97/100\n",
      "39600/39600 [==============================] - 37s 940us/step - loss: 0.0368 - tf_pmse_DA: 244.3873 - tf_pmse_5HT: 196.5704 - tf_pmse_pH: 0.0374 - tf_pmse_NE: 193.9507 - val_loss: 2.8489 - val_tf_pmse_DA: 1456.5852 - val_tf_pmse_5HT: 1743.3096 - val_tf_pmse_pH: 0.5664 - val_tf_pmse_NE: 1035.7936\n",
      "Epoch 98/100\n",
      "39600/39600 [==============================] - 37s 936us/step - loss: 0.0339 - tf_pmse_DA: 232.5010 - tf_pmse_5HT: 185.6423 - tf_pmse_pH: 0.0375 - tf_pmse_NE: 186.8478 - val_loss: 3.2252 - val_tf_pmse_DA: 1665.9609 - val_tf_pmse_5HT: 2320.0063 - val_tf_pmse_pH: 0.4589 - val_tf_pmse_NE: 1060.1911\n",
      "Epoch 99/100\n",
      "39600/39600 [==============================] - 37s 932us/step - loss: 0.0361 - tf_pmse_DA: 237.6080 - tf_pmse_5HT: 192.2524 - tf_pmse_pH: 0.0395 - tf_pmse_NE: 192.0856 - val_loss: 2.9650 - val_tf_pmse_DA: 1579.2950 - val_tf_pmse_5HT: 2022.8639 - val_tf_pmse_pH: 0.5103 - val_tf_pmse_NE: 1061.7648\n",
      "Epoch 100/100\n",
      "39600/39600 [==============================] - 37s 931us/step - loss: 0.0354 - tf_pmse_DA: 236.7513 - tf_pmse_5HT: 189.3017 - tf_pmse_pH: 0.0375 - tf_pmse_NE: 195.3320 - val_loss: 2.7537 - val_tf_pmse_DA: 1458.9400 - val_tf_pmse_5HT: 1946.7261 - val_tf_pmse_pH: 0.4946 - val_tf_pmse_NE: 1074.9676\n",
      "predicting test set... done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rmse_DA</th>\n",
       "      <th>rmse_5HT</th>\n",
       "      <th>rmse_pH</th>\n",
       "      <th>rmse_NE</th>\n",
       "      <th>duration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1807.374944</td>\n",
       "      <td>2493.649692</td>\n",
       "      <td>0.519145</td>\n",
       "      <td>1265.003391</td>\n",
       "      <td>3717.074324</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
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    }
   ],
   "source": [
    "# Fit the model\n",
    "\n",
    "classifier_name = 'inception'\n",
    "\n",
    "input_shape = x_train[probes[0]].shape[1:]\n",
    "\n",
    "pre_model = None\n",
    "nprobe = len(probes)\n",
    "for (iprobe, probe) in enumerate(probes):\n",
    "    print(f'probe {probe} ({iprobe} out of {nprobe})')\n",
    "    classifier = Regression_INCEPTION(output_directory, input_shape, output_shape, batch_size=128, verbose=1, build=True, nb_epochs=100, pre_model=pre_model)\n",
    "    metrics = classifier.fit(x_train[probe], y_train[probe], x_val, y_val, plot_test_acc=True)\n",
    "    display(HTML(metrics.to_html()))\n",
    "    pre_model = classifier.get_best_model()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hold_conc_pred = predict(invert, vae, hold_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = np.load('/mnt/nfs/proj/in-vitro/Leonardo/inception/results/inception/TSC/Meat/y_pred.npy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "acc = np.mean(y_true==np.argmax(y_pred,axis=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9333333333333333"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow.compat.v1 as tf\n",
    "tf.disable_v2_behavior()\n",
    "import keras"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensorflow.python.keras.metrics.RootMeanSquaredError"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tf.keras.metrics.RootMeanSquaredError"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2.2.4'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keras.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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