car_dataset.ipynb

{
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  "metadata": {
    "colab": {
      "name": "car_dataset.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "mount_file_id": "1k7ELtZif3GV97dESNVoQAdrogo2KWfVH",
      "authorship_tag": "ABX9TyNSvb/HzdCtH7y907es+TTJ",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/sarthakpant772/MLnow_2.0/blob/main/car_dataset.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rMX7s1dr_CQA",
        "outputId": "67e5a047-e6c4-4137-9f26-3183d3440700"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ewc8xQCp_KGf"
      },
      "source": [
        ""
      ],
      "execution_count": 66,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cNdxUdMr_MwZ"
      },
      "source": [
        "import pandas as pd\n",
        "import tensorflow as tf\n",
        "import numpy as np\n",
        "from tensorflow import keras\n",
        "import os"
      ],
      "execution_count": 67,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "V_C7NAx2_iuo",
        "outputId": "873658f1-26e4-4033-9093-9b50e25501d3"
      },
      "source": [
        "cd '/content/drive/MyDrive/mashine_learning_models/car price'\n"
      ],
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/MyDrive/mashine_learning_models/car price\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LiUJKja1_2Uu",
        "outputId": "c6c83cae-c281-4d45-bbd3-5bf3928cc3ca"
      },
      "source": [
        "ls"
      ],
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " car_dataset.ipynb        'Data Dictionary - carprices.xlsx'\n",
            " CarPrice_Assignment.csv   univarit_cardata.csv\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Xz8SHYQK_3Z-"
      },
      "source": [
        "car_data=pd.read_csv('CarPrice_Assignment.csv')"
      ],
      "execution_count": 70,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 278
        },
        "id": "cDKjF0PTAA50",
        "outputId": "ba552d88-555e-4c60-c10d-ee863ccc250b"
      },
      "source": [
        "car_data.head()"
      ],
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>car_ID</th>\n",
              "      <th>symboling</th>\n",
              "      <th>CarName</th>\n",
              "      <th>fueltype</th>\n",
              "      <th>aspiration</th>\n",
              "      <th>doornumber</th>\n",
              "      <th>carbody</th>\n",
              "      <th>drivewheel</th>\n",
              "      <th>enginelocation</th>\n",
              "      <th>wheelbase</th>\n",
              "      <th>carlength</th>\n",
              "      <th>carwidth</th>\n",
              "      <th>carheight</th>\n",
              "      <th>curbweight</th>\n",
              "      <th>enginetype</th>\n",
              "      <th>cylindernumber</th>\n",
              "      <th>enginesize</th>\n",
              "      <th>fuelsystem</th>\n",
              "      <th>boreratio</th>\n",
              "      <th>stroke</th>\n",
              "      <th>compressionratio</th>\n",
              "      <th>horsepower</th>\n",
              "      <th>peakrpm</th>\n",
              "      <th>citympg</th>\n",
              "      <th>highwaympg</th>\n",
              "      <th>price</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>alfa-romero giulia</td>\n",
              "      <td>gas</td>\n",
              "      <td>std</td>\n",
              "      <td>two</td>\n",
              "      <td>convertible</td>\n",
              "      <td>rwd</td>\n",
              "      <td>front</td>\n",
              "      <td>88.6</td>\n",
              "      <td>168.8</td>\n",
              "      <td>64.1</td>\n",
              "      <td>48.8</td>\n",
              "      <td>2548</td>\n",
              "      <td>dohc</td>\n",
              "      <td>four</td>\n",
              "      <td>130</td>\n",
              "      <td>mpfi</td>\n",
              "      <td>3.47</td>\n",
              "      <td>2.68</td>\n",
              "      <td>9.0</td>\n",
              "      <td>111</td>\n",
              "      <td>5000</td>\n",
              "      <td>21</td>\n",
              "      <td>27</td>\n",
              "      <td>13495.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>alfa-romero stelvio</td>\n",
              "      <td>gas</td>\n",
              "      <td>std</td>\n",
              "      <td>two</td>\n",
              "      <td>convertible</td>\n",
              "      <td>rwd</td>\n",
              "      <td>front</td>\n",
              "      <td>88.6</td>\n",
              "      <td>168.8</td>\n",
              "      <td>64.1</td>\n",
              "      <td>48.8</td>\n",
              "      <td>2548</td>\n",
              "      <td>dohc</td>\n",
              "      <td>four</td>\n",
              "      <td>130</td>\n",
              "      <td>mpfi</td>\n",
              "      <td>3.47</td>\n",
              "      <td>2.68</td>\n",
              "      <td>9.0</td>\n",
              "      <td>111</td>\n",
              "      <td>5000</td>\n",
              "      <td>21</td>\n",
              "      <td>27</td>\n",
              "      <td>16500.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>alfa-romero Quadrifoglio</td>\n",
              "      <td>gas</td>\n",
              "      <td>std</td>\n",
              "      <td>two</td>\n",
              "      <td>hatchback</td>\n",
              "      <td>rwd</td>\n",
              "      <td>front</td>\n",
              "      <td>94.5</td>\n",
              "      <td>171.2</td>\n",
              "      <td>65.5</td>\n",
              "      <td>52.4</td>\n",
              "      <td>2823</td>\n",
              "      <td>ohcv</td>\n",
              "      <td>six</td>\n",
              "      <td>152</td>\n",
              "      <td>mpfi</td>\n",
              "      <td>2.68</td>\n",
              "      <td>3.47</td>\n",
              "      <td>9.0</td>\n",
              "      <td>154</td>\n",
              "      <td>5000</td>\n",
              "      <td>19</td>\n",
              "      <td>26</td>\n",
              "      <td>16500.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>audi 100 ls</td>\n",
              "      <td>gas</td>\n",
              "      <td>std</td>\n",
              "      <td>four</td>\n",
              "      <td>sedan</td>\n",
              "      <td>fwd</td>\n",
              "      <td>front</td>\n",
              "      <td>99.8</td>\n",
              "      <td>176.6</td>\n",
              "      <td>66.2</td>\n",
              "      <td>54.3</td>\n",
              "      <td>2337</td>\n",
              "      <td>ohc</td>\n",
              "      <td>four</td>\n",
              "      <td>109</td>\n",
              "      <td>mpfi</td>\n",
              "      <td>3.19</td>\n",
              "      <td>3.40</td>\n",
              "      <td>10.0</td>\n",
              "      <td>102</td>\n",
              "      <td>5500</td>\n",
              "      <td>24</td>\n",
              "      <td>30</td>\n",
              "      <td>13950.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>audi 100ls</td>\n",
              "      <td>gas</td>\n",
              "      <td>std</td>\n",
              "      <td>four</td>\n",
              "      <td>sedan</td>\n",
              "      <td>4wd</td>\n",
              "      <td>front</td>\n",
              "      <td>99.4</td>\n",
              "      <td>176.6</td>\n",
              "      <td>66.4</td>\n",
              "      <td>54.3</td>\n",
              "      <td>2824</td>\n",
              "      <td>ohc</td>\n",
              "      <td>five</td>\n",
              "      <td>136</td>\n",
              "      <td>mpfi</td>\n",
              "      <td>3.19</td>\n",
              "      <td>3.40</td>\n",
              "      <td>8.0</td>\n",
              "      <td>115</td>\n",
              "      <td>5500</td>\n",
              "      <td>18</td>\n",
              "      <td>22</td>\n",
              "      <td>17450.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   car_ID  symboling                   CarName  ... citympg highwaympg    price\n",
              "0       1          3        alfa-romero giulia  ...      21         27  13495.0\n",
              "1       2          3       alfa-romero stelvio  ...      21         27  16500.0\n",
              "2       3          1  alfa-romero Quadrifoglio  ...      19         26  16500.0\n",
              "3       4          2               audi 100 ls  ...      24         30  13950.0\n",
              "4       5          2                audi 100ls  ...      18         22  17450.0\n",
              "\n",
              "[5 rows x 26 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mGAEJx7GAGBI"
      },
      "source": [
        "unicar_data=car_data[['horsepower','price']]"
      ],
      "execution_count": 72,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "as8em0epAjyQ",
        "outputId": "30c39235-a540-4fdf-e1d2-5b2a2aedae67"
      },
      "source": [
        "unicar_data.head()"
      ],
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>horsepower</th>\n",
              "      <th>price</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>111</td>\n",
              "      <td>13495.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>111</td>\n",
              "      <td>16500.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>154</td>\n",
              "      <td>16500.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>102</td>\n",
              "      <td>13950.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>115</td>\n",
              "      <td>17450.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   horsepower    price\n",
              "0         111  13495.0\n",
              "1         111  16500.0\n",
              "2         154  16500.0\n",
              "3         102  13950.0\n",
              "4         115  17450.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mcozqX9GAluy"
      },
      "source": [
        "unicar_data.to_csv('univarit_cardata.csv')"
      ],
      "execution_count": 74,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SaYZhm7NBmv9"
      },
      "source": [
        "##Data visualization"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        },
        "id": "L0uV1j1kAvRD",
        "outputId": "c2c35182-9d6a-4623-998b-a56b3285cb7a"
      },
      "source": [
        "import seaborn as sns\n",
        "sns.palplot(sns.color_palette('PuOr')) #Purple to Orange colors\n",
        "pal = sns.color_palette('PuOr', 6) #print 6 color shades from Purple to Orange\n",
        "pal.as_hex() #set hex code values for colors\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "plt.style.use(['seaborn'])\n",
        "sns_colors = ['#c6690c', '#664697'] #orange Purple hex codes\n",
        "sns.set_palette(sns_colors) #set the palette as sns_colors \n",
        "sns.palplot(sns.color_palette(sns_colors)) #plot the color codes"
      ],
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x72 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAH4AAABECAYAAABHwoFDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAABA0lEQVR4nO3dsU2CQQCG4R9CZUkJCbF2AUfCCRzAuAQrsAFj2NDTOILt7wRSIUfyPk97zZe8uWtvMc/zPJGzHD2AMYSPEj5K+Cjho1bXDn++z9PX5+u9ttzd7v0yfeyPo2f8m8Pp7c+zqzf+afNy8zGPZPu8Hj1hGE99lPBRwkcJHyV8lPBRwkcJHyV8lPBRwkcJHyV8lPBRwkcJHyV8lPBRwkcJHyV8lPBRwkcJHyV8lPBRwkcJHyV8lPBRwkcJHyV8lPBRwkcJHyV8lPBRwkcJHyV8lPBRwkcJHyV8lPBRwkcJHyV8lPBRwkcJHyV81MKnwk1ufJTwUcJHCR8lfJTwUb9cshIcQjyvZQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 144x72 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xrdRxE5NA0-y",
        "outputId": "bcdcd3f7-97bd-4670-dd9b-5725aa7f2e83"
      },
      "source": [
        "unicar_data.columns"
      ],
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['horsepower', 'price'], dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 76
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 391
        },
        "id": "0qvyBHr8A-IC",
        "outputId": "a9332511-d29c-4450-e1e7-8703cb2271f3"
      },
      "source": [
        "sns.pairplot(unicar_data,\n",
        "             x_vars=['horsepower','price'],\n",
        "             y_vars=['horsepower','price'],\n",
        "             diag_kind='kde')"
      ],
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.PairGrid at 0x7f2144359050>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 77
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 360x360 with 6 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6agPXpQ4Bp9V"
      },
      "source": [
        "##Data Spliting"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ixjMIM89BVi6"
      },
      "source": [
        "trainDataset=unicar_data.sample(frac=0.8,random_state=0)\n",
        "testDataset=unicar_data.drop(trainDataset.index)"
      ],
      "execution_count": 78,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Vdkf01GSCF1-",
        "outputId": "6baeaca5-2ef1-46a9-8b2f-0c1c2426714d"
      },
      "source": [
        "print(trainDataset.head())\n",
        "print(testDataset.head())"
      ],
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "     horsepower    price\n",
            "52           68   6795.0\n",
            "181         156  15750.0\n",
            "5           110  15250.0\n",
            "18           48   5151.0\n",
            "188         100   9995.0\n",
            "    horsepower      price\n",
            "9          160  17859.167\n",
            "21          68   5572.000\n",
            "25          68   6692.000\n",
            "29         145  12964.000\n",
            "31          76   6855.000\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KTAhAGPjCRI7",
        "outputId": "5d5b6a61-2933-4494-e71f-87cbbbe0648b"
      },
      "source": [
        "print(trainDataset.shape)\n",
        "print(testDataset.shape)"
      ],
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(164, 2)\n",
            "(41, 2)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vSNY4P46CmxJ"
      },
      "source": [
        "trainFeatures=trainDataset.copy()\n",
        "testFeatures=testDataset.copy()"
      ],
      "execution_count": 81,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j7vlzYKeC0ZO"
      },
      "source": [
        "trainLabels=trainFeatures.pop('price')\n",
        "testLabels=testFeatures.pop('price')"
      ],
      "execution_count": 82,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LNeGOWEkDDee",
        "outputId": "342b2258-ca67-45e7-95b4-abec2e1b1dea"
      },
      "source": [
        "print(trainLabels.head())\n",
        "print(testLabels.head())"
      ],
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "52      6795.0\n",
            "181    15750.0\n",
            "5      15250.0\n",
            "18      5151.0\n",
            "188     9995.0\n",
            "Name: price, dtype: float64\n",
            "9     17859.167\n",
            "21     5572.000\n",
            "25     6692.000\n",
            "29    12964.000\n",
            "31     6855.000\n",
            "Name: price, dtype: float64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8q6Q2bieDR_j",
        "outputId": "0e4a4e27-9162-4eb5-edee-31111d814a03"
      },
      "source": [
        "print(trainFeatures.head())\n",
        "print(testFeatures.head())"
      ],
      "execution_count": 84,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "     horsepower\n",
            "52           68\n",
            "181         156\n",
            "5           110\n",
            "18           48\n",
            "188         100\n",
            "    horsepower\n",
            "9          160\n",
            "21          68\n",
            "25          68\n",
            "29         145\n",
            "31          76\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NP88bi5lDbZ1"
      },
      "source": [
        "model = tf.keras.Sequential([\n",
        "                             tf.keras.layers.Dense(1)\n",
        "\n",
        "])\n"
      ],
      "execution_count": 85,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Yb7wwgBVE8UM"
      },
      "source": [
        "model.compile(\n",
        "    loss = 'mean_absolute_error', #minimizing the MAE loss\n",
        "    optimizer = tf.keras.optimizers.Adam(0.001), #learning rate specified as 0.001\n",
        "    # optimizer = 'adam', #takes the default learning rate\n",
        "    metrics = ['mae', 'mse'] #meanSquare and meanAbsolute error metrics\n",
        ")"
      ],
      "execution_count": 86,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7OCg-u0sD2qu",
        "outputId": "e04d4e77-1914-476e-bd3c-650efe0e82df"
      },
      "source": [
        "numEpochs=16000\n",
        "history = model.fit(x=trainFeatures,y=trainLabels,validation_data=(testFeatures,testLabels), epochs=numEpochs)"
      ],
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "Epoch 13501/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4744.3281 - mae: 4744.3281 - mse: 53364516.0000 - val_loss: 4836.7749 - val_mae: 4836.7749 - val_mse: 59904456.0000\n",
            "Epoch 13502/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4743.7676 - mae: 4743.7676 - mse: 53357644.0000 - val_loss: 4836.2617 - val_mae: 4836.2617 - val_mse: 59896988.0000\n",
            "Epoch 13503/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4743.2070 - mae: 4743.2070 - mse: 53350192.0000 - val_loss: 4835.7544 - val_mae: 4835.7544 - val_mse: 59889600.0000\n",
            "Epoch 13504/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4742.6475 - mae: 4742.6475 - mse: 53342956.0000 - val_loss: 4835.2471 - val_mae: 4835.2471 - val_mse: 59882216.0000\n",
            "Epoch 13505/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4742.0986 - mae: 4742.0986 - mse: 53336032.0000 - val_loss: 4834.7139 - val_mae: 4834.7139 - val_mse: 59874452.0000\n",
            "Epoch 13506/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4741.5176 - mae: 4741.5176 - mse: 53328336.0000 - val_loss: 4834.1885 - val_mae: 4834.1885 - val_mse: 59866804.0000\n",
            "Epoch 13507/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4740.9316 - mae: 4740.9316 - mse: 53320752.0000 - val_loss: 4833.6675 - val_mae: 4833.6675 - val_mse: 59859224.0000\n",
            "Epoch 13508/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4740.3638 - mae: 4740.3638 - mse: 53313156.0000 - val_loss: 4833.1475 - val_mae: 4833.1475 - val_mse: 59851656.0000\n",
            "Epoch 13509/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4739.7979 - mae: 4739.7979 - mse: 53305268.0000 - val_loss: 4832.6318 - val_mae: 4832.6318 - val_mse: 59844160.0000\n",
            "Epoch 13510/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4739.2285 - mae: 4739.2285 - mse: 53298496.0000 - val_loss: 4832.1167 - val_mae: 4832.1167 - val_mse: 59836664.0000\n",
            "Epoch 13511/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4738.6724 - mae: 4738.6724 - mse: 53291276.0000 - val_loss: 4831.5962 - val_mae: 4831.5962 - val_mse: 59829100.0000\n",
            "Epoch 13512/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4738.0972 - mae: 4738.0972 - mse: 53283928.0000 - val_loss: 4831.0869 - val_mae: 4831.0869 - val_mse: 59821688.0000\n",
            "Epoch 13513/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4737.5444 - mae: 4737.5444 - mse: 53276648.0000 - val_loss: 4830.5674 - val_mae: 4830.5674 - val_mse: 59814136.0000\n",
            "Epoch 13514/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4736.9595 - mae: 4736.9595 - mse: 53268768.0000 - val_loss: 4830.0479 - val_mae: 4830.0479 - val_mse: 59806584.0000\n",
            "Epoch 13515/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4736.3828 - mae: 4736.3828 - mse: 53261492.0000 - val_loss: 4829.5171 - val_mae: 4829.5171 - val_mse: 59798872.0000\n",
            "Epoch 13516/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4735.8081 - mae: 4735.8081 - mse: 53253856.0000 - val_loss: 4828.9834 - val_mae: 4828.9834 - val_mse: 59791112.0000\n",
            "Epoch 13517/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4735.2251 - mae: 4735.2251 - mse: 53246488.0000 - val_loss: 4828.4502 - val_mae: 4828.4502 - val_mse: 59783360.0000\n",
            "Epoch 13518/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4734.6606 - mae: 4734.6606 - mse: 53238904.0000 - val_loss: 4827.9180 - val_mae: 4827.9180 - val_mse: 59775624.0000\n",
            "Epoch 13519/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4734.0674 - mae: 4734.0674 - mse: 53231860.0000 - val_loss: 4827.3818 - val_mae: 4827.3818 - val_mse: 59767840.0000\n",
            "Epoch 13520/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4733.4819 - mae: 4733.4819 - mse: 53223580.0000 - val_loss: 4826.8628 - val_mae: 4826.8628 - val_mse: 59760296.0000\n",
            "Epoch 13521/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4732.9106 - mae: 4732.9106 - mse: 53216324.0000 - val_loss: 4826.3408 - val_mae: 4826.3408 - val_mse: 59752712.0000\n",
            "Epoch 13522/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4732.3413 - mae: 4732.3413 - mse: 53208980.0000 - val_loss: 4825.8262 - val_mae: 4825.8262 - val_mse: 59745244.0000\n",
            "Epoch 13523/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4731.7822 - mae: 4731.7822 - mse: 53201708.0000 - val_loss: 4825.3115 - val_mae: 4825.3115 - val_mse: 59737776.0000\n",
            "Epoch 13524/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4731.2163 - mae: 4731.2163 - mse: 53194620.0000 - val_loss: 4824.8047 - val_mae: 4824.8047 - val_mse: 59730420.0000\n",
            "Epoch 13525/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4730.6567 - mae: 4730.6567 - mse: 53187336.0000 - val_loss: 4824.3013 - val_mae: 4824.3013 - val_mse: 59723100.0000\n",
            "Epoch 13526/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4730.1113 - mae: 4730.1113 - mse: 53180240.0000 - val_loss: 4823.7905 - val_mae: 4823.7905 - val_mse: 59715692.0000\n",
            "Epoch 13527/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4729.5547 - mae: 4729.5547 - mse: 53172744.0000 - val_loss: 4823.2852 - val_mae: 4823.2852 - val_mse: 59708348.0000\n",
            "Epoch 13528/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4729.0112 - mae: 4729.0112 - mse: 53165636.0000 - val_loss: 4822.8086 - val_mae: 4822.8086 - val_mse: 59701440.0000\n",
            "Epoch 13529/16000\n",
            "6/6 [==============================] - 0s 14ms/step - loss: 4728.4888 - mae: 4728.4888 - mse: 53159288.0000 - val_loss: 4822.3291 - val_mae: 4822.3291 - val_mse: 59694480.0000\n",
            "Epoch 13530/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4727.9580 - mae: 4727.9580 - mse: 53152144.0000 - val_loss: 4821.8452 - val_mae: 4821.8447 - val_mse: 59687460.0000\n",
            "Epoch 13531/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4727.4243 - mae: 4727.4243 - mse: 53145012.0000 - val_loss: 4821.3613 - val_mae: 4821.3613 - val_mse: 59680444.0000\n",
            "Epoch 13532/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4726.8931 - mae: 4726.8931 - mse: 53138340.0000 - val_loss: 4820.8516 - val_mae: 4820.8516 - val_mse: 59673052.0000\n",
            "Epoch 13533/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4726.3208 - mae: 4726.3208 - mse: 53131120.0000 - val_loss: 4820.3301 - val_mae: 4820.3301 - val_mse: 59665484.0000\n",
            "Epoch 13534/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4725.7510 - mae: 4725.7510 - mse: 53124064.0000 - val_loss: 4819.7974 - val_mae: 4819.7974 - val_mse: 59657760.0000\n",
            "Epoch 13535/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4725.1675 - mae: 4725.1675 - mse: 53115992.0000 - val_loss: 4819.2524 - val_mae: 4819.2524 - val_mse: 59649860.0000\n",
            "Epoch 13536/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4724.5771 - mae: 4724.5771 - mse: 53108060.0000 - val_loss: 4818.7153 - val_mae: 4818.7153 - val_mse: 59642076.0000\n",
            "Epoch 13537/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4723.9785 - mae: 4723.9785 - mse: 53100820.0000 - val_loss: 4818.1919 - val_mae: 4818.1919 - val_mse: 59634480.0000\n",
            "Epoch 13538/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4723.4048 - mae: 4723.4048 - mse: 53093364.0000 - val_loss: 4817.6729 - val_mae: 4817.6729 - val_mse: 59626960.0000\n",
            "Epoch 13539/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4722.8428 - mae: 4722.8428 - mse: 53085984.0000 - val_loss: 4817.1436 - val_mae: 4817.1436 - val_mse: 59619296.0000\n",
            "Epoch 13540/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4722.2656 - mae: 4722.2656 - mse: 53078664.0000 - val_loss: 4816.6128 - val_mae: 4816.6128 - val_mse: 59611604.0000\n",
            "Epoch 13541/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4721.6816 - mae: 4721.6816 - mse: 53071136.0000 - val_loss: 4816.0947 - val_mae: 4816.0947 - val_mse: 59604100.0000\n",
            "Epoch 13542/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4721.1133 - mae: 4721.1133 - mse: 53063568.0000 - val_loss: 4815.5757 - val_mae: 4815.5757 - val_mse: 59596576.0000\n",
            "Epoch 13543/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4720.5542 - mae: 4720.5542 - mse: 53056376.0000 - val_loss: 4815.0581 - val_mae: 4815.0581 - val_mse: 59589076.0000\n",
            "Epoch 13544/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4719.9795 - mae: 4719.9795 - mse: 53048908.0000 - val_loss: 4814.5459 - val_mae: 4814.5459 - val_mse: 59581664.0000\n",
            "Epoch 13545/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4719.4336 - mae: 4719.4336 - mse: 53041932.0000 - val_loss: 4814.0366 - val_mae: 4814.0366 - val_mse: 59574292.0000\n",
            "Epoch 13546/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4718.8740 - mae: 4718.8740 - mse: 53034560.0000 - val_loss: 4813.5410 - val_mae: 4813.5410 - val_mse: 59567124.0000\n",
            "Epoch 13547/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4718.3389 - mae: 4718.3389 - mse: 53028064.0000 - val_loss: 4813.0283 - val_mae: 4813.0283 - val_mse: 59559692.0000\n",
            "Epoch 13548/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4717.7690 - mae: 4717.7690 - mse: 53020536.0000 - val_loss: 4812.5259 - val_mae: 4812.5259 - val_mse: 59552420.0000\n",
            "Epoch 13549/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4717.2139 - mae: 4717.2139 - mse: 53013268.0000 - val_loss: 4812.0073 - val_mae: 4812.0073 - val_mse: 59544912.0000\n",
            "Epoch 13550/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4716.6401 - mae: 4716.6401 - mse: 53005956.0000 - val_loss: 4811.4907 - val_mae: 4811.4907 - val_mse: 59537444.0000\n",
            "Epoch 13551/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4716.0649 - mae: 4716.0649 - mse: 52998064.0000 - val_loss: 4810.9707 - val_mae: 4810.9707 - val_mse: 59529908.0000\n",
            "Epoch 13552/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4715.4990 - mae: 4715.4990 - mse: 52990996.0000 - val_loss: 4810.4429 - val_mae: 4810.4429 - val_mse: 59522280.0000\n",
            "Epoch 13553/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4714.9243 - mae: 4714.9243 - mse: 52983688.0000 - val_loss: 4809.9136 - val_mae: 4809.9136 - val_mse: 59514624.0000\n",
            "Epoch 13554/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4714.3516 - mae: 4714.3516 - mse: 52976420.0000 - val_loss: 4809.3877 - val_mae: 4809.3877 - val_mse: 59507012.0000\n",
            "Epoch 13555/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4713.7725 - mae: 4713.7725 - mse: 52968440.0000 - val_loss: 4808.8828 - val_mae: 4808.8828 - val_mse: 59499708.0000\n",
            "Epoch 13556/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4713.2324 - mae: 4713.2324 - mse: 52961648.0000 - val_loss: 4808.3809 - val_mae: 4808.3809 - val_mse: 59492452.0000\n",
            "Epoch 13557/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4712.6763 - mae: 4712.6763 - mse: 52954636.0000 - val_loss: 4807.8828 - val_mae: 4807.8828 - val_mse: 59485260.0000\n",
            "Epoch 13558/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4712.1304 - mae: 4712.1304 - mse: 52947388.0000 - val_loss: 4807.3857 - val_mae: 4807.3862 - val_mse: 59478072.0000\n",
            "Epoch 13559/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4711.5786 - mae: 4711.5786 - mse: 52940444.0000 - val_loss: 4806.8726 - val_mae: 4806.8726 - val_mse: 59470656.0000\n",
            "Epoch 13560/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4711.0137 - mae: 4711.0137 - mse: 52933100.0000 - val_loss: 4806.3394 - val_mae: 4806.3394 - val_mse: 59462944.0000\n",
            "Epoch 13561/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4710.4399 - mae: 4710.4399 - mse: 52926016.0000 - val_loss: 4805.8130 - val_mae: 4805.8130 - val_mse: 59455340.0000\n",
            "Epoch 13562/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4709.8623 - mae: 4709.8623 - mse: 52918620.0000 - val_loss: 4805.2910 - val_mae: 4805.2910 - val_mse: 59447808.0000\n",
            "Epoch 13563/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4709.2900 - mae: 4709.2900 - mse: 52911168.0000 - val_loss: 4804.7573 - val_mae: 4804.7573 - val_mse: 59440092.0000\n",
            "Epoch 13564/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4708.7007 - mae: 4708.7007 - mse: 52903472.0000 - val_loss: 4804.2476 - val_mae: 4804.2476 - val_mse: 59432724.0000\n",
            "Epoch 13565/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4708.1523 - mae: 4708.1523 - mse: 52896412.0000 - val_loss: 4803.7363 - val_mae: 4803.7363 - val_mse: 59425356.0000\n",
            "Epoch 13566/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4707.5967 - mae: 4707.5967 - mse: 52888940.0000 - val_loss: 4803.2402 - val_mae: 4803.2402 - val_mse: 59418188.0000\n",
            "Epoch 13567/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4707.0615 - mae: 4707.0615 - mse: 52882356.0000 - val_loss: 4802.7349 - val_mae: 4802.7349 - val_mse: 59410888.0000\n",
            "Epoch 13568/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4706.4902 - mae: 4706.4902 - mse: 52875088.0000 - val_loss: 4802.2280 - val_mae: 4802.2280 - val_mse: 59403564.0000\n",
            "Epoch 13569/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4705.9360 - mae: 4705.9360 - mse: 52867264.0000 - val_loss: 4801.7144 - val_mae: 4801.7144 - val_mse: 59396144.0000\n",
            "Epoch 13570/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4705.3755 - mae: 4705.3755 - mse: 52860404.0000 - val_loss: 4801.1929 - val_mae: 4801.1929 - val_mse: 59388628.0000\n",
            "Epoch 13571/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4704.8057 - mae: 4704.8057 - mse: 52853160.0000 - val_loss: 4800.6777 - val_mae: 4800.6777 - val_mse: 59381200.0000\n",
            "Epoch 13572/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4704.2368 - mae: 4704.2368 - mse: 52845488.0000 - val_loss: 4800.1680 - val_mae: 4800.1680 - val_mse: 59373832.0000\n",
            "Epoch 13573/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4703.6831 - mae: 4703.6831 - mse: 52838544.0000 - val_loss: 4799.6494 - val_mae: 4799.6494 - val_mse: 59366356.0000\n",
            "Epoch 13574/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4703.1128 - mae: 4703.1128 - mse: 52831100.0000 - val_loss: 4799.1436 - val_mae: 4799.1436 - val_mse: 59359064.0000\n",
            "Epoch 13575/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4702.5542 - mae: 4702.5542 - mse: 52823996.0000 - val_loss: 4798.6387 - val_mae: 4798.6387 - val_mse: 59351776.0000\n",
            "Epoch 13576/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4702.0049 - mae: 4702.0049 - mse: 52816920.0000 - val_loss: 4798.1313 - val_mae: 4798.1313 - val_mse: 59344460.0000\n",
            "Epoch 13577/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4701.4561 - mae: 4701.4561 - mse: 52810004.0000 - val_loss: 4797.6260 - val_mae: 4797.6260 - val_mse: 59337180.0000\n",
            "Epoch 13578/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4700.9053 - mae: 4700.9053 - mse: 52803048.0000 - val_loss: 4797.1333 - val_mae: 4797.1333 - val_mse: 59330060.0000\n",
            "Epoch 13579/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4700.3608 - mae: 4700.3608 - mse: 52795792.0000 - val_loss: 4796.6172 - val_mae: 4796.6172 - val_mse: 59322632.0000\n",
            "Epoch 13580/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4699.7925 - mae: 4699.7925 - mse: 52788232.0000 - val_loss: 4796.0986 - val_mae: 4796.0986 - val_mse: 59315152.0000\n",
            "Epoch 13581/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4699.2065 - mae: 4699.2065 - mse: 52780524.0000 - val_loss: 4795.5762 - val_mae: 4795.5762 - val_mse: 59307620.0000\n",
            "Epoch 13582/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4698.6465 - mae: 4698.6465 - mse: 52773668.0000 - val_loss: 4795.0493 - val_mae: 4795.0493 - val_mse: 59300028.0000\n",
            "Epoch 13583/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4698.0723 - mae: 4698.0723 - mse: 52766540.0000 - val_loss: 4794.5278 - val_mae: 4794.5278 - val_mse: 59292508.0000\n",
            "Epoch 13584/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4697.5039 - mae: 4697.5039 - mse: 52759204.0000 - val_loss: 4794.0039 - val_mae: 4794.0039 - val_mse: 59284968.0000\n",
            "Epoch 13585/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4696.9292 - mae: 4696.9292 - mse: 52751552.0000 - val_loss: 4793.4888 - val_mae: 4793.4888 - val_mse: 59277556.0000\n",
            "Epoch 13586/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4696.3564 - mae: 4696.3564 - mse: 52744044.0000 - val_loss: 4792.9727 - val_mae: 4792.9727 - val_mse: 59270108.0000\n",
            "Epoch 13587/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4695.7891 - mae: 4695.7891 - mse: 52736868.0000 - val_loss: 4792.4395 - val_mae: 4792.4395 - val_mse: 59262440.0000\n",
            "Epoch 13588/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4695.2188 - mae: 4695.2188 - mse: 52730044.0000 - val_loss: 4791.9131 - val_mae: 4791.9131 - val_mse: 59254860.0000\n",
            "Epoch 13589/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4694.6362 - mae: 4694.6362 - mse: 52722364.0000 - val_loss: 4791.4082 - val_mae: 4791.4082 - val_mse: 59247584.0000\n",
            "Epoch 13590/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4694.0830 - mae: 4694.0830 - mse: 52714908.0000 - val_loss: 4790.9004 - val_mae: 4790.9004 - val_mse: 59240272.0000\n",
            "Epoch 13591/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4693.5166 - mae: 4693.5166 - mse: 52707796.0000 - val_loss: 4790.3735 - val_mae: 4790.3735 - val_mse: 59232692.0000\n",
            "Epoch 13592/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4692.9419 - mae: 4692.9419 - mse: 52700336.0000 - val_loss: 4789.8438 - val_mae: 4789.8438 - val_mse: 59225068.0000\n",
            "Epoch 13593/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4692.3638 - mae: 4692.3638 - mse: 52692884.0000 - val_loss: 4789.3018 - val_mae: 4789.3018 - val_mse: 59217276.0000\n",
            "Epoch 13594/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4691.7773 - mae: 4691.7773 - mse: 52685232.0000 - val_loss: 4788.7925 - val_mae: 4788.7925 - val_mse: 59209940.0000\n",
            "Epoch 13595/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4691.2246 - mae: 4691.2246 - mse: 52678144.0000 - val_loss: 4788.2891 - val_mae: 4788.2891 - val_mse: 59202696.0000\n",
            "Epoch 13596/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4690.6689 - mae: 4690.6689 - mse: 52670964.0000 - val_loss: 4787.7822 - val_mae: 4787.7822 - val_mse: 59195400.0000\n",
            "Epoch 13597/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4690.1138 - mae: 4690.1138 - mse: 52664096.0000 - val_loss: 4787.2715 - val_mae: 4787.2715 - val_mse: 59188060.0000\n",
            "Epoch 13598/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4689.5566 - mae: 4689.5566 - mse: 52657072.0000 - val_loss: 4786.7773 - val_mae: 4786.7773 - val_mse: 59180964.0000\n",
            "Epoch 13599/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4689.0220 - mae: 4689.0220 - mse: 52649808.0000 - val_loss: 4786.2837 - val_mae: 4786.2837 - val_mse: 59173868.0000\n",
            "Epoch 13600/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4688.4795 - mae: 4688.4795 - mse: 52643108.0000 - val_loss: 4785.7856 - val_mae: 4785.7856 - val_mse: 59166696.0000\n",
            "Epoch 13601/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4687.9375 - mae: 4687.9375 - mse: 52636012.0000 - val_loss: 4785.2744 - val_mae: 4785.2744 - val_mse: 59159352.0000\n",
            "Epoch 13602/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4687.3745 - mae: 4687.3745 - mse: 52628828.0000 - val_loss: 4784.7612 - val_mae: 4784.7612 - val_mse: 59151972.0000\n",
            "Epoch 13603/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4686.8071 - mae: 4686.8071 - mse: 52621476.0000 - val_loss: 4784.2563 - val_mae: 4784.2563 - val_mse: 59144716.0000\n",
            "Epoch 13604/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4686.2515 - mae: 4686.2515 - mse: 52614100.0000 - val_loss: 4783.7402 - val_mae: 4783.7402 - val_mse: 59137304.0000\n",
            "Epoch 13605/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4685.6777 - mae: 4685.6777 - mse: 52607000.0000 - val_loss: 4783.2163 - val_mae: 4783.2163 - val_mse: 59129780.0000\n",
            "Epoch 13606/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4685.1162 - mae: 4685.1162 - mse: 52599932.0000 - val_loss: 4782.6899 - val_mae: 4782.6899 - val_mse: 59122208.0000\n",
            "Epoch 13607/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4684.5391 - mae: 4684.5391 - mse: 52592416.0000 - val_loss: 4782.1860 - val_mae: 4782.1860 - val_mse: 59114972.0000\n",
            "Epoch 13608/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4683.9873 - mae: 4683.9873 - mse: 52585024.0000 - val_loss: 4781.6860 - val_mae: 4781.6860 - val_mse: 59107792.0000\n",
            "Epoch 13609/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4683.4453 - mae: 4683.4453 - mse: 52577992.0000 - val_loss: 4781.1860 - val_mae: 4781.1860 - val_mse: 59100608.0000\n",
            "Epoch 13610/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4682.8994 - mae: 4682.8994 - mse: 52570948.0000 - val_loss: 4780.6885 - val_mae: 4780.6885 - val_mse: 59093468.0000\n",
            "Epoch 13611/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4682.3457 - mae: 4682.3457 - mse: 52564156.0000 - val_loss: 4780.1758 - val_mae: 4780.1758 - val_mse: 59086104.0000\n",
            "Epoch 13612/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4681.7773 - mae: 4681.7773 - mse: 52557056.0000 - val_loss: 4779.6426 - val_mae: 4779.6426 - val_mse: 59078456.0000\n",
            "Epoch 13613/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4681.2075 - mae: 4681.2075 - mse: 52549752.0000 - val_loss: 4779.1074 - val_mae: 4779.1074 - val_mse: 59070768.0000\n",
            "Epoch 13614/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4680.6152 - mae: 4680.6152 - mse: 52541988.0000 - val_loss: 4778.5908 - val_mae: 4778.5908 - val_mse: 59063360.0000\n",
            "Epoch 13615/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4680.0479 - mae: 4680.0479 - mse: 52534504.0000 - val_loss: 4778.0894 - val_mae: 4778.0894 - val_mse: 59056172.0000\n",
            "Epoch 13616/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4679.4883 - mae: 4679.4883 - mse: 52527428.0000 - val_loss: 4777.5737 - val_mae: 4777.5737 - val_mse: 59048768.0000\n",
            "Epoch 13617/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4678.9365 - mae: 4678.9365 - mse: 52520016.0000 - val_loss: 4777.0620 - val_mae: 4777.0620 - val_mse: 59041424.0000\n",
            "Epoch 13618/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4678.3706 - mae: 4678.3706 - mse: 52513200.0000 - val_loss: 4776.5454 - val_mae: 4776.5454 - val_mse: 59034012.0000\n",
            "Epoch 13619/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4677.8145 - mae: 4677.8145 - mse: 52506004.0000 - val_loss: 4776.0317 - val_mae: 4776.0317 - val_mse: 59026652.0000\n",
            "Epoch 13620/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4677.2632 - mae: 4677.2632 - mse: 52498912.0000 - val_loss: 4775.5454 - val_mae: 4775.5454 - val_mse: 59019668.0000\n",
            "Epoch 13621/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4676.7163 - mae: 4676.7163 - mse: 52491952.0000 - val_loss: 4775.0449 - val_mae: 4775.0449 - val_mse: 59012500.0000\n",
            "Epoch 13622/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4676.1821 - mae: 4676.1821 - mse: 52485232.0000 - val_loss: 4774.5386 - val_mae: 4774.5386 - val_mse: 59005240.0000\n",
            "Epoch 13623/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4675.6172 - mae: 4675.6172 - mse: 52478100.0000 - val_loss: 4774.0322 - val_mae: 4774.0322 - val_mse: 58997984.0000\n",
            "Epoch 13624/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4675.0527 - mae: 4675.0527 - mse: 52470560.0000 - val_loss: 4773.5024 - val_mae: 4773.5024 - val_mse: 58990384.0000\n",
            "Epoch 13625/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4674.4644 - mae: 4674.4644 - mse: 52463140.0000 - val_loss: 4772.9814 - val_mae: 4772.9814 - val_mse: 58982924.0000\n",
            "Epoch 13626/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4673.9082 - mae: 4673.9082 - mse: 52456248.0000 - val_loss: 4772.4600 - val_mae: 4772.4600 - val_mse: 58975444.0000\n",
            "Epoch 13627/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4673.3276 - mae: 4673.3276 - mse: 52448724.0000 - val_loss: 4771.9458 - val_mae: 4771.9458 - val_mse: 58968088.0000\n",
            "Epoch 13628/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4672.7729 - mae: 4672.7729 - mse: 52441848.0000 - val_loss: 4771.4243 - val_mae: 4771.4243 - val_mse: 58960620.0000\n",
            "Epoch 13629/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4672.2085 - mae: 4672.2085 - mse: 52434188.0000 - val_loss: 4770.9121 - val_mae: 4770.9121 - val_mse: 58953284.0000\n",
            "Epoch 13630/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4671.6294 - mae: 4671.6294 - mse: 52426584.0000 - val_loss: 4770.3931 - val_mae: 4770.3931 - val_mse: 58945848.0000\n",
            "Epoch 13631/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4671.0684 - mae: 4671.0684 - mse: 52419932.0000 - val_loss: 4769.8682 - val_mae: 4769.8682 - val_mse: 58938332.0000\n",
            "Epoch 13632/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4670.4893 - mae: 4670.4893 - mse: 52412184.0000 - val_loss: 4769.3398 - val_mae: 4769.3398 - val_mse: 58930756.0000\n",
            "Epoch 13633/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4669.9160 - mae: 4669.9160 - mse: 52405296.0000 - val_loss: 4768.8154 - val_mae: 4768.8154 - val_mse: 58923256.0000\n",
            "Epoch 13634/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4669.3413 - mae: 4669.3413 - mse: 52398056.0000 - val_loss: 4768.2974 - val_mae: 4768.2974 - val_mse: 58915840.0000\n",
            "Epoch 13635/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4668.7778 - mae: 4668.7778 - mse: 52390800.0000 - val_loss: 4767.7866 - val_mae: 4767.7866 - val_mse: 58908536.0000\n",
            "Epoch 13636/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4668.2173 - mae: 4668.2173 - mse: 52383356.0000 - val_loss: 4767.2744 - val_mae: 4767.2744 - val_mse: 58901200.0000\n",
            "Epoch 13637/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4667.6445 - mae: 4667.6445 - mse: 52375436.0000 - val_loss: 4766.7568 - val_mae: 4766.7568 - val_mse: 58893792.0000\n",
            "Epoch 13638/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4667.0845 - mae: 4667.0845 - mse: 52368884.0000 - val_loss: 4766.2285 - val_mae: 4766.2285 - val_mse: 58886236.0000\n",
            "Epoch 13639/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4666.5010 - mae: 4666.5010 - mse: 52361316.0000 - val_loss: 4765.7085 - val_mae: 4765.7085 - val_mse: 58878800.0000\n",
            "Epoch 13640/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4665.9312 - mae: 4665.9312 - mse: 52354000.0000 - val_loss: 4765.1777 - val_mae: 4765.1777 - val_mse: 58871208.0000\n",
            "Epoch 13641/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4665.3535 - mae: 4665.3535 - mse: 52346640.0000 - val_loss: 4764.6553 - val_mae: 4764.6553 - val_mse: 58863592.0000\n",
            "Epoch 13642/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4664.7710 - mae: 4664.7710 - mse: 52338932.0000 - val_loss: 4764.1606 - val_mae: 4764.1606 - val_mse: 58856036.0000\n",
            "Epoch 13643/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4664.2007 - mae: 4664.2007 - mse: 52331608.0000 - val_loss: 4763.6992 - val_mae: 4763.6992 - val_mse: 58849000.0000\n",
            "Epoch 13644/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4663.6689 - mae: 4663.6689 - mse: 52325268.0000 - val_loss: 4763.2314 - val_mae: 4763.2314 - val_mse: 58841856.0000\n",
            "Epoch 13645/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4663.1240 - mae: 4663.1240 - mse: 52318048.0000 - val_loss: 4762.7734 - val_mae: 4762.7734 - val_mse: 58834876.0000\n",
            "Epoch 13646/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4662.5840 - mae: 4662.5840 - mse: 52311052.0000 - val_loss: 4762.3096 - val_mae: 4762.3096 - val_mse: 58827796.0000\n",
            "Epoch 13647/16000\n",
            "6/6 [==============================] - 0s 14ms/step - loss: 4662.0400 - mae: 4662.0400 - mse: 52304460.0000 - val_loss: 4761.8394 - val_mae: 4761.8394 - val_mse: 58820616.0000\n",
            "Epoch 13648/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4661.4878 - mae: 4661.4878 - mse: 52297076.0000 - val_loss: 4761.3589 - val_mae: 4761.3589 - val_mse: 58813296.0000\n",
            "Epoch 13649/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4660.9243 - mae: 4660.9243 - mse: 52289912.0000 - val_loss: 4760.8691 - val_mae: 4760.8691 - val_mse: 58805824.0000\n",
            "Epoch 13650/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4660.3447 - mae: 4660.3447 - mse: 52282608.0000 - val_loss: 4760.3828 - val_mae: 4760.3828 - val_mse: 58798412.0000\n",
            "Epoch 13651/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4659.7700 - mae: 4659.7700 - mse: 52275144.0000 - val_loss: 4759.8882 - val_mae: 4759.8882 - val_mse: 58790864.0000\n",
            "Epoch 13652/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4659.1943 - mae: 4659.1943 - mse: 52267576.0000 - val_loss: 4759.3994 - val_mae: 4759.3994 - val_mse: 58783420.0000\n",
            "Epoch 13653/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4658.6396 - mae: 4658.6396 - mse: 52260868.0000 - val_loss: 4758.8994 - val_mae: 4758.8994 - val_mse: 58775796.0000\n",
            "Epoch 13654/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4658.0557 - mae: 4658.0557 - mse: 52253540.0000 - val_loss: 4758.4346 - val_mae: 4758.4346 - val_mse: 58768708.0000\n",
            "Epoch 13655/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4657.5034 - mae: 4657.5034 - mse: 52246208.0000 - val_loss: 4757.9502 - val_mae: 4757.9502 - val_mse: 58761328.0000\n",
            "Epoch 13656/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4656.9341 - mae: 4656.9341 - mse: 52239364.0000 - val_loss: 4757.4629 - val_mae: 4757.4629 - val_mse: 58753912.0000\n",
            "Epoch 13657/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4656.3735 - mae: 4656.3735 - mse: 52232196.0000 - val_loss: 4756.9819 - val_mae: 4756.9819 - val_mse: 58746580.0000\n",
            "Epoch 13658/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4655.8149 - mae: 4655.8149 - mse: 52225048.0000 - val_loss: 4756.5015 - val_mae: 4756.5015 - val_mse: 58739208.0000\n",
            "Epoch 13659/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4655.2456 - mae: 4655.2456 - mse: 52217416.0000 - val_loss: 4756.0601 - val_mae: 4756.0601 - val_mse: 58731976.0000\n",
            "Epoch 13660/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4654.6846 - mae: 4654.6846 - mse: 52210412.0000 - val_loss: 4755.6060 - val_mae: 4755.6060 - val_mse: 58724552.0000\n",
            "Epoch 13661/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4654.1128 - mae: 4654.1128 - mse: 52203292.0000 - val_loss: 4755.1611 - val_mae: 4755.1611 - val_mse: 58717264.0000\n",
            "Epoch 13662/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4653.5435 - mae: 4653.5435 - mse: 52195556.0000 - val_loss: 4754.7080 - val_mae: 4754.7080 - val_mse: 58709848.0000\n",
            "Epoch 13663/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4652.9766 - mae: 4652.9766 - mse: 52188616.0000 - val_loss: 4754.2446 - val_mae: 4754.2446 - val_mse: 58702260.0000\n",
            "Epoch 13664/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4652.3950 - mae: 4652.3950 - mse: 52181012.0000 - val_loss: 4753.7925 - val_mae: 4753.7925 - val_mse: 58694856.0000\n",
            "Epoch 13665/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4651.8271 - mae: 4651.8271 - mse: 52173968.0000 - val_loss: 4753.3369 - val_mae: 4753.3369 - val_mse: 58687412.0000\n",
            "Epoch 13666/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4651.2754 - mae: 4651.2754 - mse: 52166872.0000 - val_loss: 4752.8853 - val_mae: 4752.8853 - val_mse: 58680020.0000\n",
            "Epoch 13667/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4650.7046 - mae: 4650.7046 - mse: 52159864.0000 - val_loss: 4752.4409 - val_mae: 4752.4409 - val_mse: 58672752.0000\n",
            "Epoch 13668/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4650.1416 - mae: 4650.1416 - mse: 52152148.0000 - val_loss: 4752.0083 - val_mae: 4752.0083 - val_mse: 58665684.0000\n",
            "Epoch 13669/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4649.5918 - mae: 4649.5918 - mse: 52145224.0000 - val_loss: 4751.5757 - val_mae: 4751.5757 - val_mse: 58658604.0000\n",
            "Epoch 13670/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4649.0454 - mae: 4649.0454 - mse: 52138580.0000 - val_loss: 4751.1323 - val_mae: 4751.1323 - val_mse: 58651348.0000\n",
            "Epoch 13671/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4648.4888 - mae: 4648.4888 - mse: 52131448.0000 - val_loss: 4750.6851 - val_mae: 4750.6851 - val_mse: 58644044.0000\n",
            "Epoch 13672/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4647.9307 - mae: 4647.9307 - mse: 52124012.0000 - val_loss: 4750.2295 - val_mae: 4750.2295 - val_mse: 58636592.0000\n",
            "Epoch 13673/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4647.3496 - mae: 4647.3496 - mse: 52117092.0000 - val_loss: 4749.7720 - val_mae: 4749.7720 - val_mse: 58629108.0000\n",
            "Epoch 13674/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4646.7793 - mae: 4646.7793 - mse: 52109876.0000 - val_loss: 4749.3140 - val_mae: 4749.3140 - val_mse: 58621628.0000\n",
            "Epoch 13675/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4646.2021 - mae: 4646.2021 - mse: 52102124.0000 - val_loss: 4748.8560 - val_mae: 4748.8560 - val_mse: 58614140.0000\n",
            "Epoch 13676/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4645.6245 - mae: 4645.6245 - mse: 52094888.0000 - val_loss: 4748.4023 - val_mae: 4748.4023 - val_mse: 58606748.0000\n",
            "Epoch 13677/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4645.0757 - mae: 4645.0757 - mse: 52088272.0000 - val_loss: 4747.9644 - val_mae: 4747.9639 - val_mse: 58599572.0000\n",
            "Epoch 13678/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4644.5210 - mae: 4644.5210 - mse: 52081256.0000 - val_loss: 4747.5371 - val_mae: 4747.5371 - val_mse: 58592612.0000\n",
            "Epoch 13679/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4643.9766 - mae: 4643.9766 - mse: 52074092.0000 - val_loss: 4747.1016 - val_mae: 4747.1011 - val_mse: 58585480.0000\n",
            "Epoch 13680/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4643.4302 - mae: 4643.4302 - mse: 52066772.0000 - val_loss: 4746.6592 - val_mae: 4746.6592 - val_mse: 58578268.0000\n",
            "Epoch 13681/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4642.8657 - mae: 4642.8657 - mse: 52059668.0000 - val_loss: 4746.2148 - val_mae: 4746.2148 - val_mse: 58571008.0000\n",
            "Epoch 13682/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4642.3184 - mae: 4642.3184 - mse: 52052916.0000 - val_loss: 4745.7695 - val_mae: 4745.7695 - val_mse: 58563732.0000\n",
            "Epoch 13683/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4641.7529 - mae: 4641.7529 - mse: 52045860.0000 - val_loss: 4745.3286 - val_mae: 4745.3286 - val_mse: 58556536.0000\n",
            "Epoch 13684/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4641.1943 - mae: 4641.1943 - mse: 52038556.0000 - val_loss: 4744.8774 - val_mae: 4744.8774 - val_mse: 58549180.0000\n",
            "Epoch 13685/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4640.6172 - mae: 4640.6172 - mse: 52031164.0000 - val_loss: 4744.4277 - val_mae: 4744.4272 - val_mse: 58541836.0000\n",
            "Epoch 13686/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4640.0571 - mae: 4640.0571 - mse: 52024204.0000 - val_loss: 4743.9731 - val_mae: 4743.9731 - val_mse: 58534424.0000\n",
            "Epoch 13687/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4639.4868 - mae: 4639.4868 - mse: 52016736.0000 - val_loss: 4743.5229 - val_mae: 4743.5229 - val_mse: 58527084.0000\n",
            "Epoch 13688/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4638.9297 - mae: 4638.9297 - mse: 52010396.0000 - val_loss: 4743.0664 - val_mae: 4743.0664 - val_mse: 58519628.0000\n",
            "Epoch 13689/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4638.3457 - mae: 4638.3457 - mse: 52002412.0000 - val_loss: 4742.6045 - val_mae: 4742.6045 - val_mse: 58512092.0000\n",
            "Epoch 13690/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4637.7598 - mae: 4637.7598 - mse: 51994980.0000 - val_loss: 4742.1309 - val_mae: 4742.1309 - val_mse: 58504372.0000\n",
            "Epoch 13691/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4637.1689 - mae: 4637.1689 - mse: 51987500.0000 - val_loss: 4741.6592 - val_mae: 4741.6592 - val_mse: 58496688.0000\n",
            "Epoch 13692/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4636.5757 - mae: 4636.5757 - mse: 51979968.0000 - val_loss: 4741.1890 - val_mae: 4741.1890 - val_mse: 58489012.0000\n",
            "Epoch 13693/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4635.9917 - mae: 4635.9917 - mse: 51972532.0000 - val_loss: 4740.7241 - val_mae: 4740.7241 - val_mse: 58481432.0000\n",
            "Epoch 13694/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4635.4038 - mae: 4635.4038 - mse: 51964680.0000 - val_loss: 4740.2637 - val_mae: 4740.2637 - val_mse: 58473936.0000\n",
            "Epoch 13695/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4634.8179 - mae: 4634.8179 - mse: 51957456.0000 - val_loss: 4739.8032 - val_mae: 4739.8032 - val_mse: 58466428.0000\n",
            "Epoch 13696/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4634.2368 - mae: 4634.2368 - mse: 51949856.0000 - val_loss: 4739.3423 - val_mae: 4739.3423 - val_mse: 58458924.0000\n",
            "Epoch 13697/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4633.6670 - mae: 4633.6670 - mse: 51942704.0000 - val_loss: 4738.8794 - val_mae: 4738.8794 - val_mse: 58451380.0000\n",
            "Epoch 13698/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4633.0771 - mae: 4633.0771 - mse: 51935368.0000 - val_loss: 4738.4185 - val_mae: 4738.4185 - val_mse: 58443868.0000\n",
            "Epoch 13699/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4632.4995 - mae: 4632.4995 - mse: 51928356.0000 - val_loss: 4737.9434 - val_mae: 4737.9434 - val_mse: 58436132.0000\n",
            "Epoch 13700/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4631.8931 - mae: 4631.8931 - mse: 51920660.0000 - val_loss: 4737.4609 - val_mae: 4737.4609 - val_mse: 58428272.0000\n",
            "Epoch 13701/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4631.2881 - mae: 4631.2881 - mse: 51912948.0000 - val_loss: 4736.9941 - val_mae: 4736.9941 - val_mse: 58420672.0000\n",
            "Epoch 13702/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4630.7212 - mae: 4630.7212 - mse: 51905320.0000 - val_loss: 4736.5391 - val_mae: 4736.5391 - val_mse: 58413264.0000\n",
            "Epoch 13703/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4630.1440 - mae: 4630.1440 - mse: 51898280.0000 - val_loss: 4736.0981 - val_mae: 4736.0981 - val_mse: 58406080.0000\n",
            "Epoch 13704/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4629.5952 - mae: 4629.5952 - mse: 51891344.0000 - val_loss: 4735.6465 - val_mae: 4735.6465 - val_mse: 58398728.0000\n",
            "Epoch 13705/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4629.0386 - mae: 4629.0386 - mse: 51884204.0000 - val_loss: 4735.2056 - val_mae: 4735.2056 - val_mse: 58391552.0000\n",
            "Epoch 13706/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4628.4854 - mae: 4628.4854 - mse: 51877412.0000 - val_loss: 4734.7710 - val_mae: 4734.7710 - val_mse: 58384476.0000\n",
            "Epoch 13707/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4627.9302 - mae: 4627.9302 - mse: 51870480.0000 - val_loss: 4734.3232 - val_mae: 4734.3232 - val_mse: 58377196.0000\n",
            "Epoch 13708/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4627.3652 - mae: 4627.3652 - mse: 51862532.0000 - val_loss: 4733.8848 - val_mae: 4733.8848 - val_mse: 58370072.0000\n",
            "Epoch 13709/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4626.8271 - mae: 4626.8271 - mse: 51856276.0000 - val_loss: 4733.4497 - val_mae: 4733.4497 - val_mse: 58362992.0000\n",
            "Epoch 13710/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4626.2671 - mae: 4626.2671 - mse: 51848832.0000 - val_loss: 4733.0112 - val_mae: 4733.0112 - val_mse: 58355860.0000\n",
            "Epoch 13711/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4625.7114 - mae: 4625.7114 - mse: 51842176.0000 - val_loss: 4732.5596 - val_mae: 4732.5596 - val_mse: 58348508.0000\n",
            "Epoch 13712/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4625.1479 - mae: 4625.1479 - mse: 51834988.0000 - val_loss: 4732.1016 - val_mae: 4732.1016 - val_mse: 58341072.0000\n",
            "Epoch 13713/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4624.5703 - mae: 4624.5703 - mse: 51827476.0000 - val_loss: 4731.6553 - val_mae: 4731.6553 - val_mse: 58333808.0000\n",
            "Epoch 13714/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4624.0044 - mae: 4624.0044 - mse: 51820468.0000 - val_loss: 4731.2021 - val_mae: 4731.2021 - val_mse: 58326448.0000\n",
            "Epoch 13715/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4623.4419 - mae: 4623.4419 - mse: 51813540.0000 - val_loss: 4730.7495 - val_mae: 4730.7495 - val_mse: 58319096.0000\n",
            "Epoch 13716/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4622.8643 - mae: 4622.8643 - mse: 51805928.0000 - val_loss: 4730.3003 - val_mae: 4730.3003 - val_mse: 58311788.0000\n",
            "Epoch 13717/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4622.3066 - mae: 4622.3066 - mse: 51798972.0000 - val_loss: 4729.8501 - val_mae: 4729.8501 - val_mse: 58304480.0000\n",
            "Epoch 13718/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4621.7319 - mae: 4621.7319 - mse: 51791596.0000 - val_loss: 4729.4043 - val_mae: 4729.4043 - val_mse: 58297232.0000\n",
            "Epoch 13719/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4621.1714 - mae: 4621.1714 - mse: 51784744.0000 - val_loss: 4728.9399 - val_mae: 4728.9399 - val_mse: 58289688.0000\n",
            "Epoch 13720/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4620.6021 - mae: 4620.6021 - mse: 51777300.0000 - val_loss: 4728.4805 - val_mae: 4728.4805 - val_mse: 58282232.0000\n",
            "Epoch 13721/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4620.0132 - mae: 4620.0132 - mse: 51769592.0000 - val_loss: 4728.0215 - val_mae: 4728.0215 - val_mse: 58274772.0000\n",
            "Epoch 13722/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4619.4321 - mae: 4619.4321 - mse: 51762284.0000 - val_loss: 4727.5684 - val_mae: 4727.5684 - val_mse: 58267412.0000\n",
            "Epoch 13723/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4618.8633 - mae: 4618.8633 - mse: 51755172.0000 - val_loss: 4727.1221 - val_mae: 4727.1221 - val_mse: 58260168.0000\n",
            "Epoch 13724/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4618.3013 - mae: 4618.3013 - mse: 51747924.0000 - val_loss: 4726.6724 - val_mae: 4726.6724 - val_mse: 58252864.0000\n",
            "Epoch 13725/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4617.7349 - mae: 4617.7349 - mse: 51740840.0000 - val_loss: 4726.2222 - val_mae: 4726.2222 - val_mse: 58245556.0000\n",
            "Epoch 13726/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4617.1890 - mae: 4617.1890 - mse: 51733760.0000 - val_loss: 4725.7822 - val_mae: 4725.7822 - val_mse: 58238428.0000\n",
            "Epoch 13727/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4616.6357 - mae: 4616.6357 - mse: 51727036.0000 - val_loss: 4725.3447 - val_mae: 4725.3447 - val_mse: 58231316.0000\n",
            "Epoch 13728/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4616.0830 - mae: 4616.0830 - mse: 51720100.0000 - val_loss: 4724.9077 - val_mae: 4724.9077 - val_mse: 58224228.0000\n",
            "Epoch 13729/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4615.5386 - mae: 4615.5386 - mse: 51713228.0000 - val_loss: 4724.4648 - val_mae: 4724.4648 - val_mse: 58217048.0000\n",
            "Epoch 13730/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4614.9775 - mae: 4614.9775 - mse: 51705880.0000 - val_loss: 4724.0361 - val_mae: 4724.0361 - val_mse: 58210084.0000\n",
            "Epoch 13731/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4614.4312 - mae: 4614.4312 - mse: 51699212.0000 - val_loss: 4723.5952 - val_mae: 4723.5952 - val_mse: 58202936.0000\n",
            "Epoch 13732/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4613.8755 - mae: 4613.8755 - mse: 51691692.0000 - val_loss: 4723.1440 - val_mae: 4723.1440 - val_mse: 58195632.0000\n",
            "Epoch 13733/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4613.3047 - mae: 4613.3047 - mse: 51684616.0000 - val_loss: 4722.7056 - val_mae: 4722.7056 - val_mse: 58188512.0000\n",
            "Epoch 13734/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4612.7573 - mae: 4612.7573 - mse: 51678220.0000 - val_loss: 4722.2524 - val_mae: 4722.2524 - val_mse: 58181164.0000\n",
            "Epoch 13735/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4612.1821 - mae: 4612.1821 - mse: 51670824.0000 - val_loss: 4721.8066 - val_mae: 4721.8066 - val_mse: 58173940.0000\n",
            "Epoch 13736/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4611.6328 - mae: 4611.6328 - mse: 51664072.0000 - val_loss: 4721.3486 - val_mae: 4721.3486 - val_mse: 58166520.0000\n",
            "Epoch 13737/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4611.0591 - mae: 4611.0591 - mse: 51656388.0000 - val_loss: 4720.9043 - val_mae: 4720.9043 - val_mse: 58159316.0000\n",
            "Epoch 13738/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4610.5010 - mae: 4610.5010 - mse: 51649260.0000 - val_loss: 4720.4688 - val_mae: 4720.4688 - val_mse: 58152268.0000\n",
            "Epoch 13739/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4609.9473 - mae: 4609.9473 - mse: 51642448.0000 - val_loss: 4720.0254 - val_mae: 4720.0254 - val_mse: 58145072.0000\n",
            "Epoch 13740/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4609.3877 - mae: 4609.3877 - mse: 51635292.0000 - val_loss: 4719.5747 - val_mae: 4719.5747 - val_mse: 58137768.0000\n",
            "Epoch 13741/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4608.8115 - mae: 4608.8115 - mse: 51627892.0000 - val_loss: 4719.1240 - val_mae: 4719.1240 - val_mse: 58130476.0000\n",
            "Epoch 13742/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4608.2529 - mae: 4608.2529 - mse: 51621296.0000 - val_loss: 4718.6680 - val_mae: 4718.6680 - val_mse: 58123088.0000\n",
            "Epoch 13743/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4607.6865 - mae: 4607.6865 - mse: 51613608.0000 - val_loss: 4718.2207 - val_mae: 4718.2207 - val_mse: 58115848.0000\n",
            "Epoch 13744/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4607.1226 - mae: 4607.1226 - mse: 51606748.0000 - val_loss: 4717.7734 - val_mae: 4717.7734 - val_mse: 58108604.0000\n",
            "Epoch 13745/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4606.5645 - mae: 4606.5645 - mse: 51600004.0000 - val_loss: 4717.3354 - val_mae: 4717.3354 - val_mse: 58101512.0000\n",
            "Epoch 13746/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4606.0044 - mae: 4606.0044 - mse: 51592780.0000 - val_loss: 4716.8931 - val_mae: 4716.8931 - val_mse: 58094356.0000\n",
            "Epoch 13747/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4605.4565 - mae: 4605.4565 - mse: 51585740.0000 - val_loss: 4716.4536 - val_mae: 4716.4536 - val_mse: 58087236.0000\n",
            "Epoch 13748/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4604.8979 - mae: 4604.8979 - mse: 51578592.0000 - val_loss: 4716.0078 - val_mae: 4716.0078 - val_mse: 58080032.0000\n",
            "Epoch 13749/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4604.3291 - mae: 4604.3291 - mse: 51571300.0000 - val_loss: 4715.5532 - val_mae: 4715.5532 - val_mse: 58072688.0000\n",
            "Epoch 13750/16000\n",
            "6/6 [==============================] - 0s 14ms/step - loss: 4603.7588 - mae: 4603.7588 - mse: 51564076.0000 - val_loss: 4715.0981 - val_mae: 4715.0981 - val_mse: 58065308.0000\n",
            "Epoch 13751/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4603.1860 - mae: 4603.1860 - mse: 51556764.0000 - val_loss: 4714.6455 - val_mae: 4714.6455 - val_mse: 58057992.0000\n",
            "Epoch 13752/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4602.6230 - mae: 4602.6230 - mse: 51550180.0000 - val_loss: 4714.1855 - val_mae: 4714.1855 - val_mse: 58050552.0000\n",
            "Epoch 13753/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4602.0435 - mae: 4602.0435 - mse: 51542784.0000 - val_loss: 4713.7109 - val_mae: 4713.7109 - val_mse: 58042880.0000\n",
            "Epoch 13754/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4601.4512 - mae: 4601.4512 - mse: 51535240.0000 - val_loss: 4713.2607 - val_mae: 4713.2607 - val_mse: 58035588.0000\n",
            "Epoch 13755/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4600.8921 - mae: 4600.8921 - mse: 51528568.0000 - val_loss: 4712.8237 - val_mae: 4712.8237 - val_mse: 58028536.0000\n",
            "Epoch 13756/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4600.3462 - mae: 4600.3462 - mse: 51521488.0000 - val_loss: 4712.3887 - val_mae: 4712.3887 - val_mse: 58021496.0000\n",
            "Epoch 13757/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4599.7979 - mae: 4599.7979 - mse: 51514408.0000 - val_loss: 4711.9390 - val_mae: 4711.9390 - val_mse: 58014228.0000\n",
            "Epoch 13758/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4599.2197 - mae: 4599.2197 - mse: 51507084.0000 - val_loss: 4711.4854 - val_mae: 4711.4854 - val_mse: 58006896.0000\n",
            "Epoch 13759/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4598.6592 - mae: 4598.6592 - mse: 51500104.0000 - val_loss: 4711.0288 - val_mae: 4711.0288 - val_mse: 57999524.0000\n",
            "Epoch 13760/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4598.0815 - mae: 4598.0815 - mse: 51492928.0000 - val_loss: 4710.5796 - val_mae: 4710.5796 - val_mse: 57992260.0000\n",
            "Epoch 13761/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4597.5176 - mae: 4597.5176 - mse: 51485776.0000 - val_loss: 4710.1221 - val_mae: 4710.1216 - val_mse: 57984868.0000\n",
            "Epoch 13762/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4596.9517 - mae: 4596.9517 - mse: 51478324.0000 - val_loss: 4709.6826 - val_mae: 4709.6826 - val_mse: 57977776.0000\n",
            "Epoch 13763/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4596.4038 - mae: 4596.4038 - mse: 51471576.0000 - val_loss: 4709.2559 - val_mae: 4709.2559 - val_mse: 57970880.0000\n",
            "Epoch 13764/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4595.8599 - mae: 4595.8599 - mse: 51465136.0000 - val_loss: 4708.8174 - val_mae: 4708.8174 - val_mse: 57963800.0000\n",
            "Epoch 13765/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4595.3115 - mae: 4595.3115 - mse: 51457700.0000 - val_loss: 4708.3691 - val_mae: 4708.3691 - val_mse: 57956564.0000\n",
            "Epoch 13766/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4594.7397 - mae: 4594.7397 - mse: 51450544.0000 - val_loss: 4707.9199 - val_mae: 4707.9199 - val_mse: 57949308.0000\n",
            "Epoch 13767/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4594.1631 - mae: 4594.1631 - mse: 51443224.0000 - val_loss: 4707.4766 - val_mae: 4707.4766 - val_mse: 57942152.0000\n",
            "Epoch 13768/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4593.6128 - mae: 4593.6128 - mse: 51436708.0000 - val_loss: 4707.0303 - val_mae: 4707.0303 - val_mse: 57934956.0000\n",
            "Epoch 13769/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4593.0483 - mae: 4593.0483 - mse: 51429296.0000 - val_loss: 4706.5811 - val_mae: 4706.5811 - val_mse: 57927704.0000\n",
            "Epoch 13770/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4592.4922 - mae: 4592.4922 - mse: 51422440.0000 - val_loss: 4706.1309 - val_mae: 4706.1309 - val_mse: 57920448.0000\n",
            "Epoch 13771/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4591.9248 - mae: 4591.9248 - mse: 51415360.0000 - val_loss: 4705.6777 - val_mae: 4705.6777 - val_mse: 57913132.0000\n",
            "Epoch 13772/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4591.3506 - mae: 4591.3506 - mse: 51407680.0000 - val_loss: 4705.2295 - val_mae: 4705.2300 - val_mse: 57905900.0000\n",
            "Epoch 13773/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4590.7896 - mae: 4590.7896 - mse: 51401056.0000 - val_loss: 4704.7705 - val_mae: 4704.7705 - val_mse: 57898496.0000\n",
            "Epoch 13774/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4590.2090 - mae: 4590.2090 - mse: 51393820.0000 - val_loss: 4704.3237 - val_mae: 4704.3237 - val_mse: 57891292.0000\n",
            "Epoch 13775/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4589.6562 - mae: 4589.6562 - mse: 51386832.0000 - val_loss: 4703.8667 - val_mae: 4703.8667 - val_mse: 57883936.0000\n",
            "Epoch 13776/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4589.0825 - mae: 4589.0825 - mse: 51379520.0000 - val_loss: 4703.4131 - val_mae: 4703.4131 - val_mse: 57876612.0000\n",
            "Epoch 13777/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4588.5010 - mae: 4588.5010 - mse: 51372368.0000 - val_loss: 4702.9663 - val_mae: 4702.9663 - val_mse: 57869404.0000\n",
            "Epoch 13778/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4587.9487 - mae: 4587.9487 - mse: 51364964.0000 - val_loss: 4702.5181 - val_mae: 4702.5181 - val_mse: 57862180.0000\n",
            "Epoch 13779/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4587.3950 - mae: 4587.3950 - mse: 51357780.0000 - val_loss: 4702.0654 - val_mae: 4702.0654 - val_mse: 57854896.0000\n",
            "Epoch 13780/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4586.8311 - mae: 4586.8311 - mse: 51351040.0000 - val_loss: 4701.6211 - val_mae: 4701.6211 - val_mse: 57847732.0000\n",
            "Epoch 13781/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4586.2876 - mae: 4586.2876 - mse: 51343928.0000 - val_loss: 4701.1729 - val_mae: 4701.1729 - val_mse: 57840504.0000\n",
            "Epoch 13782/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4585.7188 - mae: 4585.7188 - mse: 51336636.0000 - val_loss: 4700.7197 - val_mae: 4700.7197 - val_mse: 57833204.0000\n",
            "Epoch 13783/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4585.1729 - mae: 4585.1729 - mse: 51330200.0000 - val_loss: 4700.2666 - val_mae: 4700.2666 - val_mse: 57825916.0000\n",
            "Epoch 13784/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4584.6245 - mae: 4584.6245 - mse: 51322776.0000 - val_loss: 4699.8345 - val_mae: 4699.8345 - val_mse: 57818956.0000\n",
            "Epoch 13785/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4584.0728 - mae: 4584.0728 - mse: 51315492.0000 - val_loss: 4699.4043 - val_mae: 4699.4043 - val_mse: 57812024.0000\n",
            "Epoch 13786/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4583.5454 - mae: 4583.5454 - mse: 51309244.0000 - val_loss: 4698.9702 - val_mae: 4698.9702 - val_mse: 57805036.0000\n",
            "Epoch 13787/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4583.0039 - mae: 4583.0039 - mse: 51302096.0000 - val_loss: 4698.5449 - val_mae: 4698.5449 - val_mse: 57798180.0000\n",
            "Epoch 13788/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4582.4800 - mae: 4582.4800 - mse: 51295664.0000 - val_loss: 4698.1016 - val_mae: 4698.1016 - val_mse: 57791056.0000\n",
            "Epoch 13789/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4581.9229 - mae: 4581.9229 - mse: 51288428.0000 - val_loss: 4697.6602 - val_mae: 4697.6602 - val_mse: 57783944.0000\n",
            "Epoch 13790/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4581.3706 - mae: 4581.3706 - mse: 51281600.0000 - val_loss: 4697.2202 - val_mae: 4697.2202 - val_mse: 57776872.0000\n",
            "Epoch 13791/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4580.8184 - mae: 4580.8184 - mse: 51274204.0000 - val_loss: 4696.7837 - val_mae: 4696.7837 - val_mse: 57769848.0000\n",
            "Epoch 13792/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4580.2847 - mae: 4580.2847 - mse: 51267708.0000 - val_loss: 4696.3345 - val_mae: 4696.3350 - val_mse: 57762624.0000\n",
            "Epoch 13793/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4579.7339 - mae: 4579.7339 - mse: 51260636.0000 - val_loss: 4695.8887 - val_mae: 4695.8887 - val_mse: 57755448.0000\n",
            "Epoch 13794/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4579.1685 - mae: 4579.1685 - mse: 51253336.0000 - val_loss: 4695.4414 - val_mae: 4695.4414 - val_mse: 57748256.0000\n",
            "Epoch 13795/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4578.6123 - mae: 4578.6123 - mse: 51246092.0000 - val_loss: 4694.9985 - val_mae: 4694.9985 - val_mse: 57741124.0000\n",
            "Epoch 13796/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4578.0620 - mae: 4578.0620 - mse: 51239208.0000 - val_loss: 4694.5586 - val_mae: 4694.5586 - val_mse: 57734056.0000\n",
            "Epoch 13797/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4577.5171 - mae: 4577.5171 - mse: 51232424.0000 - val_loss: 4694.1133 - val_mae: 4694.1133 - val_mse: 57726896.0000\n",
            "Epoch 13798/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4576.9570 - mae: 4576.9570 - mse: 51225472.0000 - val_loss: 4693.6577 - val_mae: 4693.6577 - val_mse: 57719576.0000\n",
            "Epoch 13799/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4576.3979 - mae: 4576.3979 - mse: 51218012.0000 - val_loss: 4693.1904 - val_mae: 4693.1904 - val_mse: 57712080.0000\n",
            "Epoch 13800/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4575.8223 - mae: 4575.8223 - mse: 51211012.0000 - val_loss: 4692.7456 - val_mae: 4692.7456 - val_mse: 57704916.0000\n",
            "Epoch 13801/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4575.2715 - mae: 4575.2715 - mse: 51203708.0000 - val_loss: 4692.2949 - val_mae: 4692.2949 - val_mse: 57697672.0000\n",
            "Epoch 13802/16000\n",
            "6/6 [==============================] - 0s 14ms/step - loss: 4574.7197 - mae: 4574.7197 - mse: 51196896.0000 - val_loss: 4691.8384 - val_mae: 4691.8384 - val_mse: 57690344.0000\n",
            "Epoch 13803/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4574.1396 - mae: 4574.1396 - mse: 51189376.0000 - val_loss: 4691.3896 - val_mae: 4691.3896 - val_mse: 57683132.0000\n",
            "Epoch 13804/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4573.5845 - mae: 4573.5845 - mse: 51182488.0000 - val_loss: 4690.9351 - val_mae: 4690.9351 - val_mse: 57675832.0000\n",
            "Epoch 13805/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4573.0239 - mae: 4573.0239 - mse: 51175248.0000 - val_loss: 4690.4810 - val_mae: 4690.4810 - val_mse: 57668532.0000\n",
            "Epoch 13806/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4572.4614 - mae: 4572.4614 - mse: 51168216.0000 - val_loss: 4690.0288 - val_mae: 4690.0288 - val_mse: 57661276.0000\n",
            "Epoch 13807/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4571.9141 - mae: 4571.9141 - mse: 51161208.0000 - val_loss: 4689.5791 - val_mae: 4689.5791 - val_mse: 57654064.0000\n",
            "Epoch 13808/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4571.3452 - mae: 4571.3452 - mse: 51153744.0000 - val_loss: 4689.1353 - val_mae: 4689.1353 - val_mse: 57646936.0000\n",
            "Epoch 13809/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4570.8047 - mae: 4570.8047 - mse: 51146928.0000 - val_loss: 4688.7036 - val_mae: 4688.7036 - val_mse: 57640004.0000\n",
            "Epoch 13810/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4570.2715 - mae: 4570.2715 - mse: 51140288.0000 - val_loss: 4688.2749 - val_mae: 4688.2749 - val_mse: 57633116.0000\n",
            "Epoch 13811/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4569.7368 - mae: 4569.7368 - mse: 51133404.0000 - val_loss: 4687.8384 - val_mae: 4687.8384 - val_mse: 57626120.0000\n",
            "Epoch 13812/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4569.2007 - mae: 4569.2007 - mse: 51126644.0000 - val_loss: 4687.4111 - val_mae: 4687.4111 - val_mse: 57619264.0000\n",
            "Epoch 13813/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4568.6792 - mae: 4568.6792 - mse: 51120468.0000 - val_loss: 4686.9917 - val_mae: 4686.9917 - val_mse: 57612536.0000\n",
            "Epoch 13814/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4568.1504 - mae: 4568.1504 - mse: 51113776.0000 - val_loss: 4686.5649 - val_mae: 4686.5649 - val_mse: 57605688.0000\n",
            "Epoch 13815/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4567.6055 - mae: 4567.6055 - mse: 51106580.0000 - val_loss: 4686.1333 - val_mae: 4686.1333 - val_mse: 57598764.0000\n",
            "Epoch 13816/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4567.0698 - mae: 4567.0698 - mse: 51099460.0000 - val_loss: 4685.6929 - val_mae: 4685.6929 - val_mse: 57591696.0000\n",
            "Epoch 13817/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4566.5273 - mae: 4566.5273 - mse: 51092852.0000 - val_loss: 4685.2544 - val_mae: 4685.2544 - val_mse: 57584672.0000\n",
            "Epoch 13818/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4565.9824 - mae: 4565.9824 - mse: 51086172.0000 - val_loss: 4684.8135 - val_mae: 4684.8135 - val_mse: 57577604.0000\n",
            "Epoch 13819/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4565.4395 - mae: 4565.4395 - mse: 51079192.0000 - val_loss: 4684.3809 - val_mae: 4684.3809 - val_mse: 57570660.0000\n",
            "Epoch 13820/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4564.9009 - mae: 4564.9009 - mse: 51072120.0000 - val_loss: 4683.9365 - val_mae: 4683.9365 - val_mse: 57563548.0000\n",
            "Epoch 13821/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4564.3428 - mae: 4564.3428 - mse: 51064928.0000 - val_loss: 4683.4839 - val_mae: 4683.4839 - val_mse: 57556300.0000\n",
            "Epoch 13822/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4563.7769 - mae: 4563.7769 - mse: 51058124.0000 - val_loss: 4683.0288 - val_mae: 4683.0288 - val_mse: 57549012.0000\n",
            "Epoch 13823/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4563.2271 - mae: 4563.2271 - mse: 51050804.0000 - val_loss: 4682.5859 - val_mae: 4682.5859 - val_mse: 57541896.0000\n",
            "Epoch 13824/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4562.6699 - mae: 4562.6699 - mse: 51044144.0000 - val_loss: 4682.1396 - val_mae: 4682.1396 - val_mse: 57534752.0000\n",
            "Epoch 13825/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4562.1270 - mae: 4562.1270 - mse: 51037420.0000 - val_loss: 4681.6860 - val_mae: 4681.6860 - val_mse: 57527488.0000\n",
            "Epoch 13826/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4561.5547 - mae: 4561.5547 - mse: 51029808.0000 - val_loss: 4681.2363 - val_mae: 4681.2363 - val_mse: 57520292.0000\n",
            "Epoch 13827/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4560.9854 - mae: 4560.9854 - mse: 51022696.0000 - val_loss: 4680.7715 - val_mae: 4680.7715 - val_mse: 57512840.0000\n",
            "Epoch 13828/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4560.4126 - mae: 4560.4126 - mse: 51015152.0000 - val_loss: 4680.3218 - val_mae: 4680.3218 - val_mse: 57505644.0000\n",
            "Epoch 13829/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4559.8618 - mae: 4559.8618 - mse: 51008252.0000 - val_loss: 4679.8745 - val_mae: 4679.8745 - val_mse: 57498488.0000\n",
            "Epoch 13830/16000\n",
            "6/6 [==============================] - 0s 14ms/step - loss: 4559.3057 - mae: 4559.3057 - mse: 51001448.0000 - val_loss: 4679.4214 - val_mae: 4679.4214 - val_mse: 57491232.0000\n",
            "Epoch 13831/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4558.7466 - mae: 4558.7466 - mse: 50994200.0000 - val_loss: 4678.9697 - val_mae: 4678.9697 - val_mse: 57484000.0000\n",
            "Epoch 13832/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4558.1816 - mae: 4558.1816 - mse: 50986856.0000 - val_loss: 4678.5259 - val_mae: 4678.5259 - val_mse: 57476900.0000\n",
            "Epoch 13833/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4557.6304 - mae: 4557.6304 - mse: 50979984.0000 - val_loss: 4678.0742 - val_mae: 4678.0742 - val_mse: 57469672.0000\n",
            "Epoch 13834/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4557.0708 - mae: 4557.0708 - mse: 50973064.0000 - val_loss: 4677.6143 - val_mae: 4677.6143 - val_mse: 57462308.0000\n",
            "Epoch 13835/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4556.4937 - mae: 4556.4937 - mse: 50965556.0000 - val_loss: 4677.1509 - val_mae: 4677.1509 - val_mse: 57454896.0000\n",
            "Epoch 13836/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4555.9243 - mae: 4555.9243 - mse: 50958628.0000 - val_loss: 4676.7021 - val_mae: 4676.7021 - val_mse: 57447724.0000\n",
            "Epoch 13837/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4555.3726 - mae: 4555.3726 - mse: 50951584.0000 - val_loss: 4676.2510 - val_mae: 4676.2510 - val_mse: 57440512.0000\n",
            "Epoch 13838/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4554.8257 - mae: 4554.8257 - mse: 50944704.0000 - val_loss: 4675.8008 - val_mae: 4675.8008 - val_mse: 57433312.0000\n",
            "Epoch 13839/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4554.2539 - mae: 4554.2539 - mse: 50937416.0000 - val_loss: 4675.3638 - val_mae: 4675.3638 - val_mse: 57426324.0000\n",
            "Epoch 13840/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4553.7100 - mae: 4553.7100 - mse: 50930472.0000 - val_loss: 4674.9175 - val_mae: 4674.9175 - val_mse: 57419196.0000\n",
            "Epoch 13841/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4553.1504 - mae: 4553.1504 - mse: 50923808.0000 - val_loss: 4674.4634 - val_mae: 4674.4634 - val_mse: 57411928.0000\n",
            "Epoch 13842/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4552.5972 - mae: 4552.5972 - mse: 50916372.0000 - val_loss: 4674.0200 - val_mae: 4674.0200 - val_mse: 57404852.0000\n",
            "Epoch 13843/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4552.0513 - mae: 4552.0513 - mse: 50909228.0000 - val_loss: 4673.5693 - val_mae: 4673.5693 - val_mse: 57397648.0000\n",
            "Epoch 13844/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4551.4824 - mae: 4551.4824 - mse: 50902472.0000 - val_loss: 4673.1221 - val_mae: 4673.1221 - val_mse: 57390504.0000\n",
            "Epoch 13845/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4550.9282 - mae: 4550.9282 - mse: 50895220.0000 - val_loss: 4672.6572 - val_mae: 4672.6572 - val_mse: 57383060.0000\n",
            "Epoch 13846/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4550.3481 - mae: 4550.3481 - mse: 50887932.0000 - val_loss: 4672.1899 - val_mae: 4672.1899 - val_mse: 57375612.0000\n",
            "Epoch 13847/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4549.7769 - mae: 4549.7769 - mse: 50880564.0000 - val_loss: 4671.7490 - val_mae: 4671.7490 - val_mse: 57368576.0000\n",
            "Epoch 13848/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4549.2319 - mae: 4549.2319 - mse: 50873592.0000 - val_loss: 4671.3042 - val_mae: 4671.3042 - val_mse: 57361464.0000\n",
            "Epoch 13849/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4548.6763 - mae: 4548.6763 - mse: 50866992.0000 - val_loss: 4670.8691 - val_mae: 4670.8691 - val_mse: 57354520.0000\n",
            "Epoch 13850/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4548.1436 - mae: 4548.1436 - mse: 50859872.0000 - val_loss: 4670.4307 - val_mae: 4670.4307 - val_mse: 57347516.0000\n",
            "Epoch 13851/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4547.6001 - mae: 4547.6001 - mse: 50853324.0000 - val_loss: 4670.0000 - val_mae: 4670.0000 - val_mse: 57340648.0000\n",
            "Epoch 13852/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4547.0688 - mae: 4547.0688 - mse: 50846444.0000 - val_loss: 4669.5649 - val_mae: 4669.5649 - val_mse: 57333696.0000\n",
            "Epoch 13853/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4546.5239 - mae: 4546.5239 - mse: 50839616.0000 - val_loss: 4669.1167 - val_mae: 4669.1167 - val_mse: 57326556.0000\n",
            "Epoch 13854/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4545.9634 - mae: 4545.9634 - mse: 50832880.0000 - val_loss: 4668.6606 - val_mae: 4668.6606 - val_mse: 57319276.0000\n",
            "Epoch 13855/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4545.3906 - mae: 4545.3906 - mse: 50825024.0000 - val_loss: 4668.2158 - val_mae: 4668.2158 - val_mse: 57312176.0000\n",
            "Epoch 13856/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4544.8447 - mae: 4544.8447 - mse: 50818400.0000 - val_loss: 4667.7783 - val_mae: 4667.7783 - val_mse: 57305188.0000\n",
            "Epoch 13857/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4544.3115 - mae: 4544.3115 - mse: 50811832.0000 - val_loss: 4667.3306 - val_mae: 4667.3306 - val_mse: 57298056.0000\n",
            "Epoch 13858/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4543.7578 - mae: 4543.7578 - mse: 50804760.0000 - val_loss: 4666.9033 - val_mae: 4666.9038 - val_mse: 57291244.0000\n",
            "Epoch 13859/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4543.2261 - mae: 4543.2261 - mse: 50797832.0000 - val_loss: 4666.4673 - val_mae: 4666.4673 - val_mse: 57284296.0000\n",
            "Epoch 13860/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4542.6865 - mae: 4542.6865 - mse: 50791168.0000 - val_loss: 4666.0220 - val_mae: 4666.0220 - val_mse: 57277204.0000\n",
            "Epoch 13861/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4542.1304 - mae: 4542.1304 - mse: 50784308.0000 - val_loss: 4665.5742 - val_mae: 4665.5742 - val_mse: 57270064.0000\n",
            "Epoch 13862/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4541.5649 - mae: 4541.5649 - mse: 50776940.0000 - val_loss: 4665.1274 - val_mae: 4665.1274 - val_mse: 57262940.0000\n",
            "Epoch 13863/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4541.0205 - mae: 4541.0205 - mse: 50770344.0000 - val_loss: 4664.6782 - val_mae: 4664.6782 - val_mse: 57255788.0000\n",
            "Epoch 13864/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4540.4644 - mae: 4540.4644 - mse: 50763200.0000 - val_loss: 4664.2310 - val_mae: 4664.2310 - val_mse: 57248656.0000\n",
            "Epoch 13865/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4539.9160 - mae: 4539.9160 - mse: 50756340.0000 - val_loss: 4663.7920 - val_mae: 4663.7920 - val_mse: 57241656.0000\n",
            "Epoch 13866/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4539.3481 - mae: 4539.3481 - mse: 50748784.0000 - val_loss: 4663.3403 - val_mae: 4663.3403 - val_mse: 57234464.0000\n",
            "Epoch 13867/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4538.7979 - mae: 4538.7979 - mse: 50742180.0000 - val_loss: 4662.8813 - val_mae: 4662.8813 - val_mse: 57227144.0000\n",
            "Epoch 13868/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4538.2354 - mae: 4538.2354 - mse: 50735148.0000 - val_loss: 4662.4243 - val_mae: 4662.4243 - val_mse: 57219876.0000\n",
            "Epoch 13869/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4537.6665 - mae: 4537.6665 - mse: 50727920.0000 - val_loss: 4661.9888 - val_mae: 4661.9888 - val_mse: 57212940.0000\n",
            "Epoch 13870/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4537.1240 - mae: 4537.1240 - mse: 50721428.0000 - val_loss: 4661.5444 - val_mae: 4661.5444 - val_mse: 57205860.0000\n",
            "Epoch 13871/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4536.5703 - mae: 4536.5703 - mse: 50714016.0000 - val_loss: 4661.0879 - val_mae: 4661.0879 - val_mse: 57198600.0000\n",
            "Epoch 13872/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4536.0029 - mae: 4536.0029 - mse: 50706980.0000 - val_loss: 4660.6226 - val_mae: 4660.6226 - val_mse: 57191200.0000\n",
            "Epoch 13873/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4535.4302 - mae: 4535.4302 - mse: 50699848.0000 - val_loss: 4660.1724 - val_mae: 4660.1724 - val_mse: 57184024.0000\n",
            "Epoch 13874/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4534.8740 - mae: 4534.8740 - mse: 50692520.0000 - val_loss: 4659.7300 - val_mae: 4659.7300 - val_mse: 57176980.0000\n",
            "Epoch 13875/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4534.3257 - mae: 4534.3257 - mse: 50685860.0000 - val_loss: 4659.2798 - val_mae: 4659.2798 - val_mse: 57169828.0000\n",
            "Epoch 13876/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4533.7612 - mae: 4533.7612 - mse: 50678536.0000 - val_loss: 4658.8428 - val_mae: 4658.8428 - val_mse: 57162876.0000\n",
            "Epoch 13877/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4533.2139 - mae: 4533.2139 - mse: 50671644.0000 - val_loss: 4658.4009 - val_mae: 4658.4009 - val_mse: 57155848.0000\n",
            "Epoch 13878/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4532.6719 - mae: 4532.6719 - mse: 50665336.0000 - val_loss: 4657.9492 - val_mae: 4657.9492 - val_mse: 57148660.0000\n",
            "Epoch 13879/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4532.1211 - mae: 4532.1211 - mse: 50658144.0000 - val_loss: 4657.5029 - val_mae: 4657.5029 - val_mse: 57141560.0000\n",
            "Epoch 13880/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4531.5654 - mae: 4531.5654 - mse: 50651204.0000 - val_loss: 4657.0742 - val_mae: 4657.0742 - val_mse: 57134756.0000\n",
            "Epoch 13881/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4531.0376 - mae: 4531.0376 - mse: 50644388.0000 - val_loss: 4656.6392 - val_mae: 4656.6392 - val_mse: 57127836.0000\n",
            "Epoch 13882/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4530.4976 - mae: 4530.4976 - mse: 50637724.0000 - val_loss: 4656.2075 - val_mae: 4656.2075 - val_mse: 57120968.0000\n",
            "Epoch 13883/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4529.9624 - mae: 4529.9624 - mse: 50631072.0000 - val_loss: 4655.7822 - val_mae: 4655.7822 - val_mse: 57114212.0000\n",
            "Epoch 13884/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4529.4316 - mae: 4529.4316 - mse: 50624324.0000 - val_loss: 4655.3394 - val_mae: 4655.3394 - val_mse: 57107176.0000\n",
            "Epoch 13885/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4528.8794 - mae: 4528.8794 - mse: 50617376.0000 - val_loss: 4654.8931 - val_mae: 4654.8931 - val_mse: 57100076.0000\n",
            "Epoch 13886/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4528.3203 - mae: 4528.3203 - mse: 50609932.0000 - val_loss: 4654.4438 - val_mae: 4654.4438 - val_mse: 57092944.0000\n",
            "Epoch 13887/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4527.7637 - mae: 4527.7637 - mse: 50603132.0000 - val_loss: 4654.0020 - val_mae: 4654.0020 - val_mse: 57085928.0000\n",
            "Epoch 13888/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4527.2090 - mae: 4527.2090 - mse: 50596508.0000 - val_loss: 4653.5420 - val_mae: 4653.5420 - val_mse: 57078616.0000\n",
            "Epoch 13889/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4526.6421 - mae: 4526.6421 - mse: 50589056.0000 - val_loss: 4653.0903 - val_mae: 4653.0903 - val_mse: 57071448.0000\n",
            "Epoch 13890/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4526.0830 - mae: 4526.0830 - mse: 50582124.0000 - val_loss: 4652.6514 - val_mae: 4652.6514 - val_mse: 57064484.0000\n",
            "Epoch 13891/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4525.5439 - mae: 4525.5439 - mse: 50575464.0000 - val_loss: 4652.2109 - val_mae: 4652.2109 - val_mse: 57057492.0000\n",
            "Epoch 13892/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4524.9971 - mae: 4524.9971 - mse: 50568128.0000 - val_loss: 4651.7769 - val_mae: 4651.7769 - val_mse: 57050588.0000\n",
            "Epoch 13893/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4524.4512 - mae: 4524.4512 - mse: 50561752.0000 - val_loss: 4651.3330 - val_mae: 4651.3330 - val_mse: 57043564.0000\n",
            "Epoch 13894/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4523.8970 - mae: 4523.8970 - mse: 50554848.0000 - val_loss: 4650.8809 - val_mae: 4650.8809 - val_mse: 57036376.0000\n",
            "Epoch 13895/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4523.3330 - mae: 4523.3330 - mse: 50547692.0000 - val_loss: 4650.4141 - val_mae: 4650.4141 - val_mse: 57028976.0000\n",
            "Epoch 13896/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4522.7573 - mae: 4522.7573 - mse: 50540220.0000 - val_loss: 4649.9609 - val_mae: 4649.9609 - val_mse: 57021784.0000\n",
            "Epoch 13897/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4522.2197 - mae: 4522.2197 - mse: 50533848.0000 - val_loss: 4649.5312 - val_mae: 4649.5312 - val_mse: 57014964.0000\n",
            "Epoch 13898/16000\n",
            "6/6 [==============================] - 0s 14ms/step - loss: 4521.6782 - mae: 4521.6782 - mse: 50526968.0000 - val_loss: 4649.0986 - val_mae: 4649.0986 - val_mse: 57008104.0000\n",
            "Epoch 13899/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4521.1309 - mae: 4521.1309 - mse: 50520252.0000 - val_loss: 4648.6582 - val_mae: 4648.6582 - val_mse: 57001124.0000\n",
            "Epoch 13900/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4520.5869 - mae: 4520.5869 - mse: 50512708.0000 - val_loss: 4648.2080 - val_mae: 4648.2085 - val_mse: 56993992.0000\n",
            "Epoch 13901/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4520.0195 - mae: 4520.0195 - mse: 50505804.0000 - val_loss: 4647.7607 - val_mae: 4647.7607 - val_mse: 56986900.0000\n",
            "Epoch 13902/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4519.4800 - mae: 4519.4800 - mse: 50499564.0000 - val_loss: 4647.3159 - val_mae: 4647.3159 - val_mse: 56979848.0000\n",
            "Epoch 13903/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4518.9419 - mae: 4518.9419 - mse: 50492524.0000 - val_loss: 4646.8843 - val_mae: 4646.8843 - val_mse: 56973000.0000\n",
            "Epoch 13904/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4518.4028 - mae: 4518.4028 - mse: 50486116.0000 - val_loss: 4646.4604 - val_mae: 4646.4604 - val_mse: 56966268.0000\n",
            "Epoch 13905/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4517.8682 - mae: 4517.8682 - mse: 50478860.0000 - val_loss: 4646.0288 - val_mae: 4646.0288 - val_mse: 56959444.0000\n",
            "Epoch 13906/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4517.3184 - mae: 4517.3184 - mse: 50471992.0000 - val_loss: 4645.5889 - val_mae: 4645.5889 - val_mse: 56952468.0000\n",
            "Epoch 13907/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4516.7783 - mae: 4516.7783 - mse: 50464960.0000 - val_loss: 4645.1401 - val_mae: 4645.1401 - val_mse: 56945364.0000\n",
            "Epoch 13908/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4516.2168 - mae: 4516.2168 - mse: 50458688.0000 - val_loss: 4644.6821 - val_mae: 4644.6821 - val_mse: 56938116.0000\n",
            "Epoch 13909/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4515.6582 - mae: 4515.6582 - mse: 50451232.0000 - val_loss: 4644.2256 - val_mae: 4644.2256 - val_mse: 56930880.0000\n",
            "Epoch 13910/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4515.0923 - mae: 4515.0923 - mse: 50444236.0000 - val_loss: 4643.7700 - val_mae: 4643.7700 - val_mse: 56923660.0000\n",
            "Epoch 13911/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4514.5195 - mae: 4514.5195 - mse: 50436640.0000 - val_loss: 4643.3232 - val_mae: 4643.3232 - val_mse: 56916592.0000\n",
            "Epoch 13912/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4513.9771 - mae: 4513.9771 - mse: 50429952.0000 - val_loss: 4642.8774 - val_mae: 4642.8774 - val_mse: 56909536.0000\n",
            "Epoch 13913/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4513.4297 - mae: 4513.4297 - mse: 50423488.0000 - val_loss: 4642.4614 - val_mae: 4642.4614 - val_mse: 56902944.0000\n",
            "Epoch 13914/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4512.9077 - mae: 4512.9077 - mse: 50416852.0000 - val_loss: 4642.0376 - val_mae: 4642.0376 - val_mse: 56896244.0000\n",
            "Epoch 13915/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4512.3799 - mae: 4512.3799 - mse: 50410212.0000 - val_loss: 4641.6143 - val_mae: 4641.6143 - val_mse: 56889544.0000\n",
            "Epoch 13916/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4511.8457 - mae: 4511.8457 - mse: 50403336.0000 - val_loss: 4641.1885 - val_mae: 4641.1885 - val_mse: 56882800.0000\n",
            "Epoch 13917/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4511.3267 - mae: 4511.3267 - mse: 50396804.0000 - val_loss: 4640.7612 - val_mae: 4640.7612 - val_mse: 56876044.0000\n",
            "Epoch 13918/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4510.7998 - mae: 4510.7998 - mse: 50390316.0000 - val_loss: 4640.3169 - val_mae: 4640.3169 - val_mse: 56869012.0000\n",
            "Epoch 13919/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4510.2563 - mae: 4510.2563 - mse: 50383664.0000 - val_loss: 4639.8794 - val_mae: 4639.8794 - val_mse: 56862096.0000\n",
            "Epoch 13920/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4509.7046 - mae: 4509.7046 - mse: 50376608.0000 - val_loss: 4639.4414 - val_mae: 4639.4414 - val_mse: 56855164.0000\n",
            "Epoch 13921/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4509.1523 - mae: 4509.1523 - mse: 50369684.0000 - val_loss: 4638.9854 - val_mae: 4638.9854 - val_mse: 56847960.0000\n",
            "Epoch 13922/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4508.5840 - mae: 4508.5840 - mse: 50362760.0000 - val_loss: 4638.5430 - val_mae: 4638.5430 - val_mse: 56840968.0000\n",
            "Epoch 13923/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4508.0469 - mae: 4508.0469 - mse: 50355588.0000 - val_loss: 4638.1021 - val_mae: 4638.1021 - val_mse: 56833992.0000\n",
            "Epoch 13924/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4507.4834 - mae: 4507.4834 - mse: 50348736.0000 - val_loss: 4637.6577 - val_mae: 4637.6577 - val_mse: 56826972.0000\n",
            "Epoch 13925/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4506.9385 - mae: 4506.9385 - mse: 50342024.0000 - val_loss: 4637.2075 - val_mae: 4637.2075 - val_mse: 56819856.0000\n",
            "Epoch 13926/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4506.3774 - mae: 4506.3774 - mse: 50335124.0000 - val_loss: 4636.7617 - val_mae: 4636.7617 - val_mse: 56812808.0000\n",
            "Epoch 13927/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4505.8384 - mae: 4505.8384 - mse: 50328028.0000 - val_loss: 4636.3271 - val_mae: 4636.3271 - val_mse: 56805936.0000\n",
            "Epoch 13928/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4505.3027 - mae: 4505.3027 - mse: 50321396.0000 - val_loss: 4635.8999 - val_mae: 4635.8999 - val_mse: 56799196.0000\n",
            "Epoch 13929/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4504.7720 - mae: 4504.7720 - mse: 50314808.0000 - val_loss: 4635.4746 - val_mae: 4635.4746 - val_mse: 56792488.0000\n",
            "Epoch 13930/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4504.2407 - mae: 4504.2407 - mse: 50308416.0000 - val_loss: 4635.0352 - val_mae: 4635.0352 - val_mse: 56785544.0000\n",
            "Epoch 13931/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4503.6914 - mae: 4503.6914 - mse: 50301556.0000 - val_loss: 4634.5913 - val_mae: 4634.5913 - val_mse: 56778532.0000\n",
            "Epoch 13932/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4503.1440 - mae: 4503.1440 - mse: 50294484.0000 - val_loss: 4634.1426 - val_mae: 4634.1421 - val_mse: 56771440.0000\n",
            "Epoch 13933/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4502.5771 - mae: 4502.5771 - mse: 50287696.0000 - val_loss: 4633.7007 - val_mae: 4633.7007 - val_mse: 56764464.0000\n",
            "Epoch 13934/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4502.0273 - mae: 4502.0273 - mse: 50280660.0000 - val_loss: 4633.2593 - val_mae: 4633.2593 - val_mse: 56757496.0000\n",
            "Epoch 13935/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4501.4746 - mae: 4501.4746 - mse: 50273604.0000 - val_loss: 4632.8135 - val_mae: 4632.8135 - val_mse: 56750468.0000\n",
            "Epoch 13936/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4500.9194 - mae: 4500.9194 - mse: 50266560.0000 - val_loss: 4632.3618 - val_mae: 4632.3618 - val_mse: 56743336.0000\n",
            "Epoch 13937/16000\n",
            "6/6 [==============================] - 0s 14ms/step - loss: 4500.3555 - mae: 4500.3555 - mse: 50259568.0000 - val_loss: 4631.9014 - val_mae: 4631.9014 - val_mse: 56736080.0000\n",
            "Epoch 13938/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4499.7881 - mae: 4499.7881 - mse: 50252504.0000 - val_loss: 4631.4316 - val_mae: 4631.4316 - val_mse: 56728664.0000\n",
            "Epoch 13939/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4499.2095 - mae: 4499.2095 - mse: 50245112.0000 - val_loss: 4630.9731 - val_mae: 4630.9731 - val_mse: 56721432.0000\n",
            "Epoch 13940/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4498.6543 - mae: 4498.6543 - mse: 50238720.0000 - val_loss: 4630.5151 - val_mae: 4630.5151 - val_mse: 56714208.0000\n",
            "Epoch 13941/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4498.0791 - mae: 4498.0791 - mse: 50230948.0000 - val_loss: 4630.0649 - val_mae: 4630.0649 - val_mse: 56707108.0000\n",
            "Epoch 13942/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4497.5098 - mae: 4497.5098 - mse: 50224192.0000 - val_loss: 4629.6089 - val_mae: 4629.6089 - val_mse: 56699924.0000\n",
            "Epoch 13943/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4496.9541 - mae: 4496.9541 - mse: 50217304.0000 - val_loss: 4629.1519 - val_mae: 4629.1519 - val_mse: 56692712.0000\n",
            "Epoch 13944/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4496.3774 - mae: 4496.3774 - mse: 50209756.0000 - val_loss: 4628.7065 - val_mae: 4628.7065 - val_mse: 56685692.0000\n",
            "Epoch 13945/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4495.8389 - mae: 4495.8389 - mse: 50203488.0000 - val_loss: 4628.2515 - val_mae: 4628.2515 - val_mse: 56678524.0000\n",
            "Epoch 13946/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4495.2803 - mae: 4495.2803 - mse: 50196224.0000 - val_loss: 4627.8042 - val_mae: 4627.8042 - val_mse: 56671468.0000\n",
            "Epoch 13947/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4494.7144 - mae: 4494.7144 - mse: 50189376.0000 - val_loss: 4627.3550 - val_mae: 4627.3550 - val_mse: 56664396.0000\n",
            "Epoch 13948/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4494.1680 - mae: 4494.1680 - mse: 50182244.0000 - val_loss: 4626.9038 - val_mae: 4626.9038 - val_mse: 56657284.0000\n",
            "Epoch 13949/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4493.6016 - mae: 4493.6016 - mse: 50175396.0000 - val_loss: 4626.4551 - val_mae: 4626.4551 - val_mse: 56650220.0000\n",
            "Epoch 13950/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4493.0547 - mae: 4493.0547 - mse: 50168604.0000 - val_loss: 4626.0059 - val_mae: 4626.0059 - val_mse: 56643152.0000\n",
            "Epoch 13951/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4492.4819 - mae: 4492.4819 - mse: 50161152.0000 - val_loss: 4625.5625 - val_mae: 4625.5625 - val_mse: 56636168.0000\n",
            "Epoch 13952/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4491.9321 - mae: 4491.9321 - mse: 50154632.0000 - val_loss: 4625.1074 - val_mae: 4625.1074 - val_mse: 56629000.0000\n",
            "Epoch 13953/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4491.3701 - mae: 4491.3701 - mse: 50147408.0000 - val_loss: 4624.6465 - val_mae: 4624.6465 - val_mse: 56621744.0000\n",
            "Epoch 13954/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4490.7939 - mae: 4490.7939 - mse: 50140524.0000 - val_loss: 4624.1855 - val_mae: 4624.1855 - val_mse: 56614480.0000\n",
            "Epoch 13955/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4490.2197 - mae: 4490.2197 - mse: 50133184.0000 - val_loss: 4623.7178 - val_mae: 4623.7178 - val_mse: 56607124.0000\n",
            "Epoch 13956/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4489.6333 - mae: 4489.6333 - mse: 50125732.0000 - val_loss: 4623.2490 - val_mae: 4623.2490 - val_mse: 56599744.0000\n",
            "Epoch 13957/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4489.0566 - mae: 4489.0566 - mse: 50118432.0000 - val_loss: 4622.7964 - val_mae: 4622.7964 - val_mse: 56592620.0000\n",
            "Epoch 13958/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4488.4980 - mae: 4488.4980 - mse: 50111580.0000 - val_loss: 4622.3369 - val_mae: 4622.3369 - val_mse: 56585392.0000\n",
            "Epoch 13959/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4487.9321 - mae: 4487.9321 - mse: 50104652.0000 - val_loss: 4621.9019 - val_mae: 4621.9019 - val_mse: 56578552.0000\n",
            "Epoch 13960/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4487.3911 - mae: 4487.3911 - mse: 50097824.0000 - val_loss: 4621.4575 - val_mae: 4621.4575 - val_mse: 56571556.0000\n",
            "Epoch 13961/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4486.8315 - mae: 4486.8315 - mse: 50091080.0000 - val_loss: 4620.9956 - val_mae: 4620.9956 - val_mse: 56564300.0000\n",
            "Epoch 13962/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4486.2593 - mae: 4486.2593 - mse: 50083480.0000 - val_loss: 4620.5342 - val_mae: 4620.5342 - val_mse: 56557044.0000\n",
            "Epoch 13963/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4485.6953 - mae: 4485.6953 - mse: 50076576.0000 - val_loss: 4620.0762 - val_mae: 4620.0762 - val_mse: 56549844.0000\n",
            "Epoch 13964/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4485.1367 - mae: 4485.1367 - mse: 50069648.0000 - val_loss: 4619.6318 - val_mae: 4619.6318 - val_mse: 56542868.0000\n",
            "Epoch 13965/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4484.5791 - mae: 4484.5791 - mse: 50062996.0000 - val_loss: 4619.1885 - val_mae: 4619.1885 - val_mse: 56535896.0000\n",
            "Epoch 13966/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4484.0264 - mae: 4484.0264 - mse: 50055836.0000 - val_loss: 4618.7339 - val_mae: 4618.7339 - val_mse: 56528748.0000\n",
            "Epoch 13967/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4483.4624 - mae: 4483.4624 - mse: 50048544.0000 - val_loss: 4618.2808 - val_mae: 4618.2808 - val_mse: 56521628.0000\n",
            "Epoch 13968/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4482.9072 - mae: 4482.9072 - mse: 50042004.0000 - val_loss: 4617.8242 - val_mae: 4617.8242 - val_mse: 56514460.0000\n",
            "Epoch 13969/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4482.3438 - mae: 4482.3438 - mse: 50035220.0000 - val_loss: 4617.3730 - val_mae: 4617.3730 - val_mse: 56507372.0000\n",
            "Epoch 13970/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4481.7676 - mae: 4481.7676 - mse: 50028252.0000 - val_loss: 4616.9209 - val_mae: 4616.9209 - val_mse: 56500260.0000\n",
            "Epoch 13971/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4481.2144 - mae: 4481.2144 - mse: 50020764.0000 - val_loss: 4616.4517 - val_mae: 4616.4517 - val_mse: 56492900.0000\n",
            "Epoch 13972/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4480.6411 - mae: 4480.6411 - mse: 50013980.0000 - val_loss: 4616.0059 - val_mae: 4616.0059 - val_mse: 56485896.0000\n",
            "Epoch 13973/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4480.0869 - mae: 4480.0869 - mse: 50006808.0000 - val_loss: 4615.5791 - val_mae: 4615.5791 - val_mse: 56479188.0000\n",
            "Epoch 13974/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4479.5615 - mae: 4479.5615 - mse: 50000592.0000 - val_loss: 4615.1387 - val_mae: 4615.1387 - val_mse: 56472284.0000\n",
            "Epoch 13975/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4479.0107 - mae: 4479.0107 - mse: 49993280.0000 - val_loss: 4614.7026 - val_mae: 4614.7026 - val_mse: 56465444.0000\n",
            "Epoch 13976/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4478.4775 - mae: 4478.4775 - mse: 49987036.0000 - val_loss: 4614.2856 - val_mae: 4614.2856 - val_mse: 56458888.0000\n",
            "Epoch 13977/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4477.9507 - mae: 4477.9507 - mse: 49980208.0000 - val_loss: 4613.8467 - val_mae: 4613.8467 - val_mse: 56452004.0000\n",
            "Epoch 13978/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4477.4067 - mae: 4477.4067 - mse: 49973524.0000 - val_loss: 4613.3955 - val_mae: 4613.3955 - val_mse: 56444928.0000\n",
            "Epoch 13979/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4476.8359 - mae: 4476.8359 - mse: 49966172.0000 - val_loss: 4612.9434 - val_mae: 4612.9434 - val_mse: 56437836.0000\n",
            "Epoch 13980/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4476.2715 - mae: 4476.2715 - mse: 49958904.0000 - val_loss: 4612.4854 - val_mae: 4612.4854 - val_mse: 56430660.0000\n",
            "Epoch 13981/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4475.7222 - mae: 4475.7222 - mse: 49952980.0000 - val_loss: 4612.0479 - val_mae: 4612.0479 - val_mse: 56423788.0000\n",
            "Epoch 13982/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4475.1753 - mae: 4475.1753 - mse: 49945952.0000 - val_loss: 4611.6050 - val_mae: 4611.6050 - val_mse: 56416844.0000\n",
            "Epoch 13983/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4474.6294 - mae: 4474.6294 - mse: 49938824.0000 - val_loss: 4611.1592 - val_mae: 4611.1592 - val_mse: 56409856.0000\n",
            "Epoch 13984/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4474.0767 - mae: 4474.0767 - mse: 49932008.0000 - val_loss: 4610.7256 - val_mae: 4610.7256 - val_mse: 56403068.0000\n",
            "Epoch 13985/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4473.5420 - mae: 4473.5420 - mse: 49925496.0000 - val_loss: 4610.2939 - val_mae: 4610.2939 - val_mse: 56396296.0000\n",
            "Epoch 13986/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4472.9966 - mae: 4472.9966 - mse: 49918532.0000 - val_loss: 4609.8672 - val_mae: 4609.8672 - val_mse: 56389608.0000\n",
            "Epoch 13987/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4472.4604 - mae: 4472.4604 - mse: 49912212.0000 - val_loss: 4609.4194 - val_mae: 4609.4194 - val_mse: 56382584.0000\n",
            "Epoch 13988/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4471.9092 - mae: 4471.9092 - mse: 49905128.0000 - val_loss: 4608.9683 - val_mae: 4608.9683 - val_mse: 56375520.0000\n",
            "Epoch 13989/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4471.3560 - mae: 4471.3560 - mse: 49897904.0000 - val_loss: 4608.5205 - val_mae: 4608.5205 - val_mse: 56368504.0000\n",
            "Epoch 13990/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4470.8008 - mae: 4470.8008 - mse: 49891592.0000 - val_loss: 4608.0830 - val_mae: 4608.0830 - val_mse: 56361648.0000\n",
            "Epoch 13991/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4470.2632 - mae: 4470.2632 - mse: 49885020.0000 - val_loss: 4607.6343 - val_mae: 4607.6343 - val_mse: 56354616.0000\n",
            "Epoch 13992/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4469.6943 - mae: 4469.6943 - mse: 49877668.0000 - val_loss: 4607.1880 - val_mae: 4607.1880 - val_mse: 56347636.0000\n",
            "Epoch 13993/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4469.1387 - mae: 4469.1387 - mse: 49870728.0000 - val_loss: 4606.7402 - val_mae: 4606.7402 - val_mse: 56340616.0000\n",
            "Epoch 13994/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4468.5894 - mae: 4468.5894 - mse: 49864020.0000 - val_loss: 4606.2969 - val_mae: 4606.2969 - val_mse: 56333688.0000\n",
            "Epoch 13995/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4468.0376 - mae: 4468.0376 - mse: 49857380.0000 - val_loss: 4605.8555 - val_mae: 4605.8555 - val_mse: 56326776.0000\n",
            "Epoch 13996/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4467.4829 - mae: 4467.4829 - mse: 49850228.0000 - val_loss: 4605.4014 - val_mae: 4605.4014 - val_mse: 56319668.0000\n",
            "Epoch 13997/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4466.9287 - mae: 4466.9287 - mse: 49843172.0000 - val_loss: 4604.9614 - val_mae: 4604.9614 - val_mse: 56312784.0000\n",
            "Epoch 13998/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4466.3862 - mae: 4466.3862 - mse: 49836776.0000 - val_loss: 4604.5195 - val_mae: 4604.5195 - val_mse: 56305876.0000\n",
            "Epoch 13999/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4465.8398 - mae: 4465.8398 - mse: 49829936.0000 - val_loss: 4604.0771 - val_mae: 4604.0771 - val_mse: 56298952.0000\n",
            "Epoch 14000/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4465.2930 - mae: 4465.2930 - mse: 49823304.0000 - val_loss: 4603.6357 - val_mae: 4603.6357 - val_mse: 56292048.0000\n",
            "Epoch 14001/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4464.7388 - mae: 4464.7388 - mse: 49816412.0000 - val_loss: 4603.1919 - val_mae: 4603.1919 - val_mse: 56285104.0000\n",
            "Epoch 14002/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4464.1895 - mae: 4464.1895 - mse: 49809432.0000 - val_loss: 4602.7490 - val_mae: 4602.7490 - val_mse: 56278180.0000\n",
            "Epoch 14003/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4463.6470 - mae: 4463.6470 - mse: 49802616.0000 - val_loss: 4602.3003 - val_mae: 4602.3003 - val_mse: 56271168.0000\n",
            "Epoch 14004/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4463.0947 - mae: 4463.0947 - mse: 49795820.0000 - val_loss: 4601.8574 - val_mae: 4601.8574 - val_mse: 56264240.0000\n",
            "Epoch 14005/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4462.5596 - mae: 4462.5596 - mse: 49788800.0000 - val_loss: 4601.4155 - val_mae: 4601.4155 - val_mse: 56257328.0000\n",
            "Epoch 14006/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4462.0093 - mae: 4462.0093 - mse: 49781932.0000 - val_loss: 4600.9785 - val_mae: 4600.9785 - val_mse: 56250500.0000\n",
            "Epoch 14007/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4461.4771 - mae: 4461.4771 - mse: 49775464.0000 - val_loss: 4600.5205 - val_mae: 4600.5205 - val_mse: 56243348.0000\n",
            "Epoch 14008/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4460.9272 - mae: 4460.9272 - mse: 49768292.0000 - val_loss: 4600.0693 - val_mae: 4600.0693 - val_mse: 56236288.0000\n",
            "Epoch 14009/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4460.3774 - mae: 4460.3774 - mse: 49761392.0000 - val_loss: 4599.6187 - val_mae: 4599.6187 - val_mse: 56229252.0000\n",
            "Epoch 14010/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4459.8315 - mae: 4459.8315 - mse: 49754572.0000 - val_loss: 4599.1865 - val_mae: 4599.1865 - val_mse: 56222508.0000\n",
            "Epoch 14011/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4459.2900 - mae: 4459.2900 - mse: 49747748.0000 - val_loss: 4598.7559 - val_mae: 4598.7559 - val_mse: 56215772.0000\n",
            "Epoch 14012/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4458.7563 - mae: 4458.7563 - mse: 49741120.0000 - val_loss: 4598.3130 - val_mae: 4598.3130 - val_mse: 56208852.0000\n",
            "Epoch 14013/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4458.2319 - mae: 4458.2319 - mse: 49734388.0000 - val_loss: 4597.8525 - val_mae: 4597.8525 - val_mse: 56201664.0000\n",
            "Epoch 14014/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4457.6519 - mae: 4457.6519 - mse: 49727368.0000 - val_loss: 4597.4023 - val_mae: 4597.4023 - val_mse: 56194652.0000\n",
            "Epoch 14015/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4457.1069 - mae: 4457.1069 - mse: 49720016.0000 - val_loss: 4596.9541 - val_mae: 4596.9541 - val_mse: 56187648.0000\n",
            "Epoch 14016/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4456.5601 - mae: 4456.5601 - mse: 49713148.0000 - val_loss: 4596.4956 - val_mae: 4596.4956 - val_mse: 56180500.0000\n",
            "Epoch 14017/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4455.9946 - mae: 4455.9946 - mse: 49706208.0000 - val_loss: 4596.0244 - val_mae: 4596.0244 - val_mse: 56173132.0000\n",
            "Epoch 14018/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4455.4233 - mae: 4455.4233 - mse: 49699072.0000 - val_loss: 4595.5581 - val_mae: 4595.5581 - val_mse: 56165856.0000\n",
            "Epoch 14019/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4454.8491 - mae: 4454.8491 - mse: 49692324.0000 - val_loss: 4595.0947 - val_mae: 4595.0947 - val_mse: 56158632.0000\n",
            "Epoch 14020/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4454.2925 - mae: 4454.2925 - mse: 49684924.0000 - val_loss: 4594.6416 - val_mae: 4594.6416 - val_mse: 56151564.0000\n",
            "Epoch 14021/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4453.7217 - mae: 4453.7217 - mse: 49677520.0000 - val_loss: 4594.2021 - val_mae: 4594.2021 - val_mse: 56144708.0000\n",
            "Epoch 14022/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4453.1987 - mae: 4453.1987 - mse: 49670936.0000 - val_loss: 4593.7456 - val_mae: 4593.7456 - val_mse: 56137580.0000\n",
            "Epoch 14023/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4452.6367 - mae: 4452.6367 - mse: 49664420.0000 - val_loss: 4593.2925 - val_mae: 4593.2925 - val_mse: 56130524.0000\n",
            "Epoch 14024/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4452.0928 - mae: 4452.0928 - mse: 49657096.0000 - val_loss: 4592.8477 - val_mae: 4592.8477 - val_mse: 56123584.0000\n",
            "Epoch 14025/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4451.5488 - mae: 4451.5488 - mse: 49650452.0000 - val_loss: 4592.4087 - val_mae: 4592.4087 - val_mse: 56116744.0000\n",
            "Epoch 14026/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4451.0112 - mae: 4451.0112 - mse: 49644124.0000 - val_loss: 4591.9712 - val_mae: 4591.9712 - val_mse: 56109916.0000\n",
            "Epoch 14027/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4450.4771 - mae: 4450.4771 - mse: 49637136.0000 - val_loss: 4591.5312 - val_mae: 4591.5312 - val_mse: 56103060.0000\n",
            "Epoch 14028/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4449.9346 - mae: 4449.9346 - mse: 49630292.0000 - val_loss: 4591.0894 - val_mae: 4591.0894 - val_mse: 56096180.0000\n",
            "Epoch 14029/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4449.3911 - mae: 4449.3911 - mse: 49623172.0000 - val_loss: 4590.6396 - val_mae: 4590.6396 - val_mse: 56089176.0000\n",
            "Epoch 14030/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4448.8325 - mae: 4448.8325 - mse: 49616464.0000 - val_loss: 4590.1763 - val_mae: 4590.1763 - val_mse: 56081956.0000\n",
            "Epoch 14031/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4448.2739 - mae: 4448.2739 - mse: 49609520.0000 - val_loss: 4589.7231 - val_mae: 4589.7231 - val_mse: 56074900.0000\n",
            "Epoch 14032/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4447.7349 - mae: 4447.7349 - mse: 49602260.0000 - val_loss: 4589.2866 - val_mae: 4589.2866 - val_mse: 56068104.0000\n",
            "Epoch 14033/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4447.1963 - mae: 4447.1963 - mse: 49595996.0000 - val_loss: 4588.8589 - val_mae: 4588.8589 - val_mse: 56061440.0000\n",
            "Epoch 14034/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4446.6753 - mae: 4446.6753 - mse: 49589508.0000 - val_loss: 4588.4141 - val_mae: 4588.4141 - val_mse: 56054508.0000\n",
            "Epoch 14035/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4446.1191 - mae: 4446.1191 - mse: 49582296.0000 - val_loss: 4587.9663 - val_mae: 4587.9663 - val_mse: 56047540.0000\n",
            "Epoch 14036/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4445.5732 - mae: 4445.5732 - mse: 49575716.0000 - val_loss: 4587.5088 - val_mae: 4587.5088 - val_mse: 56040424.0000\n",
            "Epoch 14037/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4445.0132 - mae: 4445.0132 - mse: 49568704.0000 - val_loss: 4587.0601 - val_mae: 4587.0601 - val_mse: 56033428.0000\n",
            "Epoch 14038/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4444.4478 - mae: 4444.4478 - mse: 49561300.0000 - val_loss: 4586.5996 - val_mae: 4586.5996 - val_mse: 56026276.0000\n",
            "Epoch 14039/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4443.9121 - mae: 4443.9121 - mse: 49554952.0000 - val_loss: 4586.1382 - val_mae: 4586.1382 - val_mse: 56019088.0000\n",
            "Epoch 14040/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4443.3467 - mae: 4443.3467 - mse: 49547836.0000 - val_loss: 4585.7021 - val_mae: 4585.7021 - val_mse: 56012308.0000\n",
            "Epoch 14041/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4442.7959 - mae: 4442.7959 - mse: 49540924.0000 - val_loss: 4585.2544 - val_mae: 4585.2544 - val_mse: 56005352.0000\n",
            "Epoch 14042/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4442.2544 - mae: 4442.2544 - mse: 49534144.0000 - val_loss: 4584.7910 - val_mae: 4584.7910 - val_mse: 55998128.0000\n",
            "Epoch 14043/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4441.6890 - mae: 4441.6890 - mse: 49526808.0000 - val_loss: 4584.3271 - val_mae: 4584.3271 - val_mse: 55990932.0000\n",
            "Epoch 14044/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4441.1309 - mae: 4441.1309 - mse: 49519992.0000 - val_loss: 4583.8706 - val_mae: 4583.8706 - val_mse: 55983828.0000\n",
            "Epoch 14045/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4440.5708 - mae: 4440.5708 - mse: 49513056.0000 - val_loss: 4583.4277 - val_mae: 4583.4277 - val_mse: 55976936.0000\n",
            "Epoch 14046/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4440.0483 - mae: 4440.0483 - mse: 49506276.0000 - val_loss: 4582.9819 - val_mae: 4582.9819 - val_mse: 55970012.0000\n",
            "Epoch 14047/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4439.5015 - mae: 4439.5015 - mse: 49499664.0000 - val_loss: 4582.5547 - val_mae: 4582.5547 - val_mse: 55963380.0000\n",
            "Epoch 14048/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4438.9712 - mae: 4438.9712 - mse: 49493056.0000 - val_loss: 4582.1226 - val_mae: 4582.1226 - val_mse: 55956668.0000\n",
            "Epoch 14049/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4438.4463 - mae: 4438.4463 - mse: 49486512.0000 - val_loss: 4581.6865 - val_mae: 4581.6865 - val_mse: 55949888.0000\n",
            "Epoch 14050/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4437.9082 - mae: 4437.9082 - mse: 49479944.0000 - val_loss: 4581.2607 - val_mae: 4581.2607 - val_mse: 55943268.0000\n",
            "Epoch 14051/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4437.3867 - mae: 4437.3867 - mse: 49473240.0000 - val_loss: 4580.8223 - val_mae: 4580.8223 - val_mse: 55936464.0000\n",
            "Epoch 14052/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4436.8301 - mae: 4436.8301 - mse: 49466464.0000 - val_loss: 4580.3774 - val_mae: 4580.3774 - val_mse: 55929544.0000\n",
            "Epoch 14053/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4436.3086 - mae: 4436.3086 - mse: 49459640.0000 - val_loss: 4579.9214 - val_mae: 4579.9214 - val_mse: 55922476.0000\n",
            "Epoch 14054/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4435.7485 - mae: 4435.7485 - mse: 49453292.0000 - val_loss: 4579.4717 - val_mae: 4579.4717 - val_mse: 55915496.0000\n",
            "Epoch 14055/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4435.1914 - mae: 4435.1914 - mse: 49445724.0000 - val_loss: 4579.0210 - val_mae: 4579.0210 - val_mse: 55908488.0000\n",
            "Epoch 14056/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4434.6333 - mae: 4434.6333 - mse: 49438744.0000 - val_loss: 4578.5503 - val_mae: 4578.5503 - val_mse: 55901176.0000\n",
            "Epoch 14057/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4434.0601 - mae: 4434.0601 - mse: 49431816.0000 - val_loss: 4578.0840 - val_mae: 4578.0840 - val_mse: 55893948.0000\n",
            "Epoch 14058/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4433.4941 - mae: 4433.4941 - mse: 49424600.0000 - val_loss: 4577.6294 - val_mae: 4577.6294 - val_mse: 55886884.0000\n",
            "Epoch 14059/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4432.9365 - mae: 4432.9365 - mse: 49417660.0000 - val_loss: 4577.1709 - val_mae: 4577.1709 - val_mse: 55879780.0000\n",
            "Epoch 14060/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4432.3823 - mae: 4432.3823 - mse: 49410496.0000 - val_loss: 4576.7310 - val_mae: 4576.7310 - val_mse: 55872956.0000\n",
            "Epoch 14061/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4431.8506 - mae: 4431.8506 - mse: 49403836.0000 - val_loss: 4576.2925 - val_mae: 4576.2925 - val_mse: 55866156.0000\n",
            "Epoch 14062/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4431.3267 - mae: 4431.3267 - mse: 49397316.0000 - val_loss: 4575.8696 - val_mae: 4575.8696 - val_mse: 55859600.0000\n",
            "Epoch 14063/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4430.7944 - mae: 4430.7944 - mse: 49390904.0000 - val_loss: 4575.4399 - val_mae: 4575.4399 - val_mse: 55852936.0000\n",
            "Epoch 14064/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4430.2681 - mae: 4430.2681 - mse: 49384388.0000 - val_loss: 4574.9893 - val_mae: 4574.9893 - val_mse: 55845944.0000\n",
            "Epoch 14065/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4429.7173 - mae: 4429.7173 - mse: 49377416.0000 - val_loss: 4574.5327 - val_mae: 4574.5327 - val_mse: 55838868.0000\n",
            "Epoch 14066/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4429.1562 - mae: 4429.1562 - mse: 49370284.0000 - val_loss: 4574.0776 - val_mae: 4574.0776 - val_mse: 55831820.0000\n",
            "Epoch 14067/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4428.5967 - mae: 4428.5967 - mse: 49363484.0000 - val_loss: 4573.6318 - val_mae: 4573.6318 - val_mse: 55824908.0000\n",
            "Epoch 14068/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4428.0596 - mae: 4428.0596 - mse: 49356308.0000 - val_loss: 4573.1890 - val_mae: 4573.1890 - val_mse: 55818040.0000\n",
            "Epoch 14069/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4427.5166 - mae: 4427.5166 - mse: 49349540.0000 - val_loss: 4572.7334 - val_mae: 4572.7334 - val_mse: 55810980.0000\n",
            "Epoch 14070/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4426.9683 - mae: 4426.9683 - mse: 49343016.0000 - val_loss: 4572.2891 - val_mae: 4572.2891 - val_mse: 55804104.0000\n",
            "Epoch 14071/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4426.4434 - mae: 4426.4434 - mse: 49336072.0000 - val_loss: 4571.8613 - val_mae: 4571.8613 - val_mse: 55797472.0000\n",
            "Epoch 14072/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4425.9297 - mae: 4425.9297 - mse: 49329600.0000 - val_loss: 4571.4351 - val_mae: 4571.4351 - val_mse: 55790884.0000\n",
            "Epoch 14073/16000\n",
            "6/6 [==============================] - 0s 15ms/step - loss: 4425.4062 - mae: 4425.4062 - mse: 49323244.0000 - val_loss: 4570.9990 - val_mae: 4570.9990 - val_mse: 55784128.0000\n",
            "Epoch 14074/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4424.8716 - mae: 4424.8716 - mse: 49316412.0000 - val_loss: 4570.5625 - val_mae: 4570.5625 - val_mse: 55777368.0000\n",
            "Epoch 14075/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4424.3530 - mae: 4424.3530 - mse: 49309452.0000 - val_loss: 4570.1206 - val_mae: 4570.1206 - val_mse: 55770524.0000\n",
            "Epoch 14076/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4423.8149 - mae: 4423.8149 - mse: 49303212.0000 - val_loss: 4569.6841 - val_mae: 4569.6841 - val_mse: 55763768.0000\n",
            "Epoch 14077/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4423.2856 - mae: 4423.2856 - mse: 49296196.0000 - val_loss: 4569.2441 - val_mae: 4569.2441 - val_mse: 55756944.0000\n",
            "Epoch 14078/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4422.7529 - mae: 4422.7529 - mse: 49290340.0000 - val_loss: 4568.7944 - val_mae: 4568.7944 - val_mse: 55749996.0000\n",
            "Epoch 14079/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4422.1938 - mae: 4422.1938 - mse: 49282644.0000 - val_loss: 4568.3589 - val_mae: 4568.3589 - val_mse: 55743256.0000\n",
            "Epoch 14080/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4421.6934 - mae: 4421.6934 - mse: 49276964.0000 - val_loss: 4567.9209 - val_mae: 4567.9209 - val_mse: 55736476.0000\n",
            "Epoch 14081/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4421.1572 - mae: 4421.1572 - mse: 49269552.0000 - val_loss: 4567.4922 - val_mae: 4567.4922 - val_mse: 55729852.0000\n",
            "Epoch 14082/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4420.6484 - mae: 4420.6484 - mse: 49263336.0000 - val_loss: 4567.0723 - val_mae: 4567.0723 - val_mse: 55723356.0000\n",
            "Epoch 14083/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4420.1431 - mae: 4420.1431 - mse: 49256888.0000 - val_loss: 4566.6577 - val_mae: 4566.6577 - val_mse: 55716944.0000\n",
            "Epoch 14084/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4419.6255 - mae: 4419.6255 - mse: 49250428.0000 - val_loss: 4566.2422 - val_mae: 4566.2422 - val_mse: 55710508.0000\n",
            "Epoch 14085/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4419.1255 - mae: 4419.1255 - mse: 49244200.0000 - val_loss: 4565.8267 - val_mae: 4565.8267 - val_mse: 55704096.0000\n",
            "Epoch 14086/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4418.6206 - mae: 4418.6206 - mse: 49237680.0000 - val_loss: 4565.3984 - val_mae: 4565.3984 - val_mse: 55697464.0000\n",
            "Epoch 14087/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4418.1211 - mae: 4418.1211 - mse: 49231412.0000 - val_loss: 4564.9609 - val_mae: 4564.9609 - val_mse: 55690716.0000\n",
            "Epoch 14088/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4417.5874 - mae: 4417.5874 - mse: 49224640.0000 - val_loss: 4564.5400 - val_mae: 4564.5400 - val_mse: 55684208.0000\n",
            "Epoch 14089/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4417.0752 - mae: 4417.0752 - mse: 49217884.0000 - val_loss: 4564.1221 - val_mae: 4564.1221 - val_mse: 55677744.0000\n",
            "Epoch 14090/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4416.5703 - mae: 4416.5703 - mse: 49211556.0000 - val_loss: 4563.6797 - val_mae: 4563.6797 - val_mse: 55670920.0000\n",
            "Epoch 14091/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4416.0518 - mae: 4416.0518 - mse: 49205256.0000 - val_loss: 4563.2402 - val_mae: 4563.2402 - val_mse: 55664128.0000\n",
            "Epoch 14092/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4415.5190 - mae: 4415.5190 - mse: 49198148.0000 - val_loss: 4562.8066 - val_mae: 4562.8066 - val_mse: 55657436.0000\n",
            "Epoch 14093/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4415.0093 - mae: 4415.0093 - mse: 49192192.0000 - val_loss: 4562.3750 - val_mae: 4562.3750 - val_mse: 55650760.0000\n",
            "Epoch 14094/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4414.4912 - mae: 4414.4912 - mse: 49185072.0000 - val_loss: 4561.9565 - val_mae: 4561.9565 - val_mse: 55644308.0000\n",
            "Epoch 14095/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4413.9902 - mae: 4413.9902 - mse: 49179128.0000 - val_loss: 4561.5410 - val_mae: 4561.5410 - val_mse: 55637892.0000\n",
            "Epoch 14096/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4413.4839 - mae: 4413.4839 - mse: 49172672.0000 - val_loss: 4561.1069 - val_mae: 4561.1069 - val_mse: 55631180.0000\n",
            "Epoch 14097/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4412.9570 - mae: 4412.9570 - mse: 49165964.0000 - val_loss: 4560.6699 - val_mae: 4560.6699 - val_mse: 55624436.0000\n",
            "Epoch 14098/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4412.4399 - mae: 4412.4399 - mse: 49159552.0000 - val_loss: 4560.2212 - val_mae: 4560.2212 - val_mse: 55617516.0000\n",
            "Epoch 14099/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4411.8965 - mae: 4411.8965 - mse: 49152760.0000 - val_loss: 4559.7700 - val_mae: 4559.7700 - val_mse: 55610556.0000\n",
            "Epoch 14100/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4411.3657 - mae: 4411.3657 - mse: 49145736.0000 - val_loss: 4559.3257 - val_mae: 4559.3257 - val_mse: 55603688.0000\n",
            "Epoch 14101/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4410.8311 - mae: 4410.8311 - mse: 49138700.0000 - val_loss: 4558.8970 - val_mae: 4558.8970 - val_mse: 55597088.0000\n",
            "Epoch 14102/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4410.2993 - mae: 4410.2993 - mse: 49132252.0000 - val_loss: 4558.4629 - val_mae: 4558.4629 - val_mse: 55590388.0000\n",
            "Epoch 14103/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4409.7852 - mae: 4409.7852 - mse: 49125740.0000 - val_loss: 4558.0181 - val_mae: 4558.0181 - val_mse: 55583524.0000\n",
            "Epoch 14104/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4409.2559 - mae: 4409.2559 - mse: 49119284.0000 - val_loss: 4557.5703 - val_mae: 4557.5703 - val_mse: 55576624.0000\n",
            "Epoch 14105/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4408.7241 - mae: 4408.7241 - mse: 49112324.0000 - val_loss: 4557.1396 - val_mae: 4557.1396 - val_mse: 55569976.0000\n",
            "Epoch 14106/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4408.2041 - mae: 4408.2041 - mse: 49105896.0000 - val_loss: 4556.6919 - val_mae: 4556.6919 - val_mse: 55563076.0000\n",
            "Epoch 14107/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4407.6606 - mae: 4407.6606 - mse: 49098596.0000 - val_loss: 4556.2427 - val_mae: 4556.2427 - val_mse: 55556152.0000\n",
            "Epoch 14108/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4407.1279 - mae: 4407.1279 - mse: 49092284.0000 - val_loss: 4555.7837 - val_mae: 4555.7837 - val_mse: 55549072.0000\n",
            "Epoch 14109/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4406.5659 - mae: 4406.5659 - mse: 49085236.0000 - val_loss: 4555.3394 - val_mae: 4555.3394 - val_mse: 55542224.0000\n",
            "Epoch 14110/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4406.0298 - mae: 4406.0298 - mse: 49078380.0000 - val_loss: 4554.8916 - val_mae: 4554.8916 - val_mse: 55535324.0000\n",
            "Epoch 14111/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4405.4971 - mae: 4405.4971 - mse: 49071548.0000 - val_loss: 4554.4287 - val_mae: 4554.4287 - val_mse: 55528200.0000\n",
            "Epoch 14112/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4404.9453 - mae: 4404.9453 - mse: 49064656.0000 - val_loss: 4553.9756 - val_mae: 4553.9756 - val_mse: 55521224.0000\n",
            "Epoch 14113/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4404.4160 - mae: 4404.4160 - mse: 49057820.0000 - val_loss: 4553.5215 - val_mae: 4553.5215 - val_mse: 55514224.0000\n",
            "Epoch 14114/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4403.8550 - mae: 4403.8550 - mse: 49050864.0000 - val_loss: 4553.0762 - val_mae: 4553.0762 - val_mse: 55507368.0000\n",
            "Epoch 14115/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4403.3135 - mae: 4403.3135 - mse: 49043868.0000 - val_loss: 4552.6313 - val_mae: 4552.6313 - val_mse: 55500520.0000\n",
            "Epoch 14116/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4402.7822 - mae: 4402.7822 - mse: 49037048.0000 - val_loss: 4552.1738 - val_mae: 4552.1738 - val_mse: 55493476.0000\n",
            "Epoch 14117/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4402.2358 - mae: 4402.2358 - mse: 49030248.0000 - val_loss: 4551.7178 - val_mae: 4551.7178 - val_mse: 55486464.0000\n",
            "Epoch 14118/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4401.6875 - mae: 4401.6875 - mse: 49023144.0000 - val_loss: 4551.2646 - val_mae: 4551.2646 - val_mse: 55479476.0000\n",
            "Epoch 14119/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4401.1382 - mae: 4401.1382 - mse: 49016508.0000 - val_loss: 4550.7944 - val_mae: 4550.7944 - val_mse: 55472240.0000\n",
            "Epoch 14120/16000\n",
            "6/6 [==============================] - 0s 14ms/step - loss: 4400.5718 - mae: 4400.5718 - mse: 49009276.0000 - val_loss: 4550.3257 - val_mae: 4550.3257 - val_mse: 55465040.0000\n",
            "Epoch 14121/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4400.0298 - mae: 4400.0298 - mse: 49002016.0000 - val_loss: 4549.8809 - val_mae: 4549.8809 - val_mse: 55458184.0000\n",
            "Epoch 14122/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4399.5000 - mae: 4399.5000 - mse: 48996000.0000 - val_loss: 4549.4385 - val_mae: 4549.4385 - val_mse: 55451384.0000\n",
            "Epoch 14123/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4398.9575 - mae: 4398.9575 - mse: 48988916.0000 - val_loss: 4548.9922 - val_mae: 4548.9922 - val_mse: 55444516.0000\n",
            "Epoch 14124/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4398.4297 - mae: 4398.4297 - mse: 48982156.0000 - val_loss: 4548.5459 - val_mae: 4548.5459 - val_mse: 55437660.0000\n",
            "Epoch 14125/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4397.9014 - mae: 4397.9014 - mse: 48975456.0000 - val_loss: 4548.1138 - val_mae: 4548.1138 - val_mse: 55431020.0000\n",
            "Epoch 14126/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4397.3940 - mae: 4397.3940 - mse: 48969032.0000 - val_loss: 4547.6831 - val_mae: 4547.6831 - val_mse: 55424388.0000\n",
            "Epoch 14127/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4396.8872 - mae: 4396.8872 - mse: 48962552.0000 - val_loss: 4547.2500 - val_mae: 4547.2500 - val_mse: 55417736.0000\n",
            "Epoch 14128/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4396.3794 - mae: 4396.3794 - mse: 48955780.0000 - val_loss: 4546.8462 - val_mae: 4546.8462 - val_mse: 55411524.0000\n",
            "Epoch 14129/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4395.8862 - mae: 4395.8862 - mse: 48949768.0000 - val_loss: 4546.4238 - val_mae: 4546.4238 - val_mse: 55405036.0000\n",
            "Epoch 14130/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4395.4019 - mae: 4395.4019 - mse: 48943368.0000 - val_loss: 4545.9941 - val_mae: 4545.9941 - val_mse: 55398436.0000\n",
            "Epoch 14131/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4394.9038 - mae: 4394.9038 - mse: 48936880.0000 - val_loss: 4545.5781 - val_mae: 4545.5781 - val_mse: 55392044.0000\n",
            "Epoch 14132/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4394.4170 - mae: 4394.4170 - mse: 48930496.0000 - val_loss: 4545.1792 - val_mae: 4545.1792 - val_mse: 55385920.0000\n",
            "Epoch 14133/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4393.9268 - mae: 4393.9268 - mse: 48924440.0000 - val_loss: 4544.7720 - val_mae: 4544.7720 - val_mse: 55379664.0000\n",
            "Epoch 14134/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4393.4507 - mae: 4393.4507 - mse: 48918128.0000 - val_loss: 4544.3491 - val_mae: 4544.3491 - val_mse: 55373176.0000\n",
            "Epoch 14135/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4392.9507 - mae: 4392.9507 - mse: 48911720.0000 - val_loss: 4543.9351 - val_mae: 4543.9351 - val_mse: 55366820.0000\n",
            "Epoch 14136/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4392.4644 - mae: 4392.4644 - mse: 48905604.0000 - val_loss: 4543.5249 - val_mae: 4543.5249 - val_mse: 55360512.0000\n",
            "Epoch 14137/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4391.9834 - mae: 4391.9834 - mse: 48898976.0000 - val_loss: 4543.1113 - val_mae: 4543.1113 - val_mse: 55354168.0000\n",
            "Epoch 14138/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4391.4946 - mae: 4391.4946 - mse: 48893396.0000 - val_loss: 4542.6885 - val_mae: 4542.6885 - val_mse: 55347676.0000\n",
            "Epoch 14139/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4390.9854 - mae: 4390.9854 - mse: 48886736.0000 - val_loss: 4542.2578 - val_mae: 4542.2578 - val_mse: 55341064.0000\n",
            "Epoch 14140/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4390.4712 - mae: 4390.4712 - mse: 48880392.0000 - val_loss: 4541.8247 - val_mae: 4541.8247 - val_mse: 55334420.0000\n",
            "Epoch 14141/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4389.9658 - mae: 4389.9658 - mse: 48873876.0000 - val_loss: 4541.3887 - val_mae: 4541.3887 - val_mse: 55327724.0000\n",
            "Epoch 14142/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4389.4531 - mae: 4389.4531 - mse: 48867344.0000 - val_loss: 4540.9629 - val_mae: 4540.9624 - val_mse: 55321188.0000\n",
            "Epoch 14143/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4388.9346 - mae: 4388.9346 - mse: 48860484.0000 - val_loss: 4540.5322 - val_mae: 4540.5322 - val_mse: 55314596.0000\n",
            "Epoch 14144/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4388.4326 - mae: 4388.4326 - mse: 48853936.0000 - val_loss: 4540.0986 - val_mae: 4540.0986 - val_mse: 55307940.0000\n",
            "Epoch 14145/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4387.9209 - mae: 4387.9209 - mse: 48847588.0000 - val_loss: 4539.6646 - val_mae: 4539.6646 - val_mse: 55301288.0000\n",
            "Epoch 14146/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4387.4229 - mae: 4387.4229 - mse: 48841336.0000 - val_loss: 4539.2285 - val_mae: 4539.2285 - val_mse: 55294596.0000\n",
            "Epoch 14147/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4386.8960 - mae: 4386.8960 - mse: 48834356.0000 - val_loss: 4538.8047 - val_mae: 4538.8047 - val_mse: 55288100.0000\n",
            "Epoch 14148/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4386.4106 - mae: 4386.4106 - mse: 48828180.0000 - val_loss: 4538.4023 - val_mae: 4538.4023 - val_mse: 55281932.0000\n",
            "Epoch 14149/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4385.9434 - mae: 4385.9434 - mse: 48822436.0000 - val_loss: 4537.9932 - val_mae: 4537.9932 - val_mse: 55275664.0000\n",
            "Epoch 14150/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4385.4492 - mae: 4385.4492 - mse: 48815672.0000 - val_loss: 4537.5894 - val_mae: 4537.5894 - val_mse: 55269468.0000\n",
            "Epoch 14151/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4384.9766 - mae: 4384.9766 - mse: 48810064.0000 - val_loss: 4537.1763 - val_mae: 4537.1763 - val_mse: 55263144.0000\n",
            "Epoch 14152/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4384.4819 - mae: 4384.4819 - mse: 48803524.0000 - val_loss: 4536.7515 - val_mae: 4536.7515 - val_mse: 55256632.0000\n",
            "Epoch 14153/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4383.9756 - mae: 4383.9756 - mse: 48796820.0000 - val_loss: 4536.3174 - val_mae: 4536.3174 - val_mse: 55249984.0000\n",
            "Epoch 14154/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4383.4663 - mae: 4383.4663 - mse: 48790744.0000 - val_loss: 4535.8726 - val_mae: 4535.8726 - val_mse: 55243172.0000\n",
            "Epoch 14155/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4382.9336 - mae: 4382.9336 - mse: 48783532.0000 - val_loss: 4535.4414 - val_mae: 4535.4414 - val_mse: 55236576.0000\n",
            "Epoch 14156/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4382.4243 - mae: 4382.4243 - mse: 48777284.0000 - val_loss: 4534.9976 - val_mae: 4534.9976 - val_mse: 55229776.0000\n",
            "Epoch 14157/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4381.9004 - mae: 4381.9004 - mse: 48770552.0000 - val_loss: 4534.5571 - val_mae: 4534.5571 - val_mse: 55223028.0000\n",
            "Epoch 14158/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4381.3623 - mae: 4381.3623 - mse: 48763460.0000 - val_loss: 4534.1060 - val_mae: 4534.1060 - val_mse: 55216116.0000\n",
            "Epoch 14159/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4380.8413 - mae: 4380.8413 - mse: 48757200.0000 - val_loss: 4533.6592 - val_mae: 4533.6592 - val_mse: 55209292.0000\n",
            "Epoch 14160/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4380.3301 - mae: 4380.3301 - mse: 48750580.0000 - val_loss: 4533.2178 - val_mae: 4533.2178 - val_mse: 55202528.0000\n",
            "Epoch 14161/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4379.8027 - mae: 4379.8027 - mse: 48743600.0000 - val_loss: 4532.7856 - val_mae: 4532.7856 - val_mse: 55195904.0000\n",
            "Epoch 14162/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4379.2822 - mae: 4379.2822 - mse: 48737416.0000 - val_loss: 4532.3457 - val_mae: 4532.3457 - val_mse: 55189184.0000\n",
            "Epoch 14163/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4378.7651 - mae: 4378.7651 - mse: 48730516.0000 - val_loss: 4531.9048 - val_mae: 4531.9048 - val_mse: 55182436.0000\n",
            "Epoch 14164/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4378.2466 - mae: 4378.2466 - mse: 48723764.0000 - val_loss: 4531.4614 - val_mae: 4531.4614 - val_mse: 55175656.0000\n",
            "Epoch 14165/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4377.7271 - mae: 4377.7271 - mse: 48716864.0000 - val_loss: 4531.0298 - val_mae: 4531.0298 - val_mse: 55169056.0000\n",
            "Epoch 14166/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4377.2144 - mae: 4377.2144 - mse: 48710776.0000 - val_loss: 4530.5815 - val_mae: 4530.5815 - val_mse: 55162200.0000\n",
            "Epoch 14167/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4376.6719 - mae: 4376.6719 - mse: 48703720.0000 - val_loss: 4530.1265 - val_mae: 4530.1265 - val_mse: 55155244.0000\n",
            "Epoch 14168/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4376.1509 - mae: 4376.1509 - mse: 48697128.0000 - val_loss: 4529.6694 - val_mae: 4529.6694 - val_mse: 55148264.0000\n",
            "Epoch 14169/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4375.6025 - mae: 4375.6025 - mse: 48690100.0000 - val_loss: 4529.2266 - val_mae: 4529.2266 - val_mse: 55141488.0000\n",
            "Epoch 14170/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4375.0923 - mae: 4375.0923 - mse: 48683508.0000 - val_loss: 4528.7959 - val_mae: 4528.7959 - val_mse: 55134908.0000\n",
            "Epoch 14171/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4374.6030 - mae: 4374.6030 - mse: 48677200.0000 - val_loss: 4528.3682 - val_mae: 4528.3682 - val_mse: 55128368.0000\n",
            "Epoch 14172/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4374.1050 - mae: 4374.1050 - mse: 48670992.0000 - val_loss: 4527.9565 - val_mae: 4527.9565 - val_mse: 55122084.0000\n",
            "Epoch 14173/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4373.6235 - mae: 4373.6235 - mse: 48664524.0000 - val_loss: 4527.5381 - val_mae: 4527.5381 - val_mse: 55115688.0000\n",
            "Epoch 14174/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4373.1396 - mae: 4373.1396 - mse: 48658140.0000 - val_loss: 4527.1304 - val_mae: 4527.1304 - val_mse: 55109468.0000\n",
            "Epoch 14175/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4372.6719 - mae: 4372.6719 - mse: 48652248.0000 - val_loss: 4526.7222 - val_mae: 4526.7222 - val_mse: 55103232.0000\n",
            "Epoch 14176/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4372.2036 - mae: 4372.2036 - mse: 48646040.0000 - val_loss: 4526.2993 - val_mae: 4526.2993 - val_mse: 55096776.0000\n",
            "Epoch 14177/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4371.7056 - mae: 4371.7056 - mse: 48639696.0000 - val_loss: 4525.8740 - val_mae: 4525.8740 - val_mse: 55090288.0000\n",
            "Epoch 14178/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4371.2021 - mae: 4371.2021 - mse: 48633228.0000 - val_loss: 4525.4487 - val_mae: 4525.4492 - val_mse: 55083788.0000\n",
            "Epoch 14179/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4370.7100 - mae: 4370.7100 - mse: 48626896.0000 - val_loss: 4525.0215 - val_mae: 4525.0215 - val_mse: 55077268.0000\n",
            "Epoch 14180/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4370.2021 - mae: 4370.2021 - mse: 48620368.0000 - val_loss: 4524.5923 - val_mae: 4524.5923 - val_mse: 55070712.0000\n",
            "Epoch 14181/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4369.7075 - mae: 4369.7075 - mse: 48613696.0000 - val_loss: 4524.1553 - val_mae: 4524.1553 - val_mse: 55064044.0000\n",
            "Epoch 14182/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4369.1973 - mae: 4369.1973 - mse: 48607124.0000 - val_loss: 4523.7285 - val_mae: 4523.7285 - val_mse: 55057528.0000\n",
            "Epoch 14183/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4368.7197 - mae: 4368.7197 - mse: 48600912.0000 - val_loss: 4523.3013 - val_mae: 4523.3013 - val_mse: 55051016.0000\n",
            "Epoch 14184/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4368.2129 - mae: 4368.2129 - mse: 48594268.0000 - val_loss: 4522.8896 - val_mae: 4522.8896 - val_mse: 55044740.0000\n",
            "Epoch 14185/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4367.7324 - mae: 4367.7324 - mse: 48588596.0000 - val_loss: 4522.4575 - val_mae: 4522.4575 - val_mse: 55038140.0000\n",
            "Epoch 14186/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4367.2310 - mae: 4367.2310 - mse: 48581656.0000 - val_loss: 4522.0288 - val_mae: 4522.0288 - val_mse: 55031608.0000\n",
            "Epoch 14187/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4366.7373 - mae: 4366.7373 - mse: 48575480.0000 - val_loss: 4521.6050 - val_mae: 4521.6050 - val_mse: 55025152.0000\n",
            "Epoch 14188/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4366.2349 - mae: 4366.2349 - mse: 48568800.0000 - val_loss: 4521.1836 - val_mae: 4521.1831 - val_mse: 55018708.0000\n",
            "Epoch 14189/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4365.7402 - mae: 4365.7402 - mse: 48562340.0000 - val_loss: 4520.7637 - val_mae: 4520.7637 - val_mse: 55012328.0000\n",
            "Epoch 14190/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4365.2476 - mae: 4365.2476 - mse: 48556040.0000 - val_loss: 4520.3286 - val_mae: 4520.3286 - val_mse: 55005684.0000\n",
            "Epoch 14191/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4364.7578 - mae: 4364.7578 - mse: 48549652.0000 - val_loss: 4519.8882 - val_mae: 4519.8882 - val_mse: 54998976.0000\n",
            "Epoch 14192/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4364.2510 - mae: 4364.2510 - mse: 48543408.0000 - val_loss: 4519.4702 - val_mae: 4519.4702 - val_mse: 54992604.0000\n",
            "Epoch 14193/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4363.7427 - mae: 4363.7427 - mse: 48536884.0000 - val_loss: 4519.0308 - val_mae: 4519.0308 - val_mse: 54985908.0000\n",
            "Epoch 14194/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4363.2427 - mae: 4363.2427 - mse: 48530284.0000 - val_loss: 4518.5864 - val_mae: 4518.5864 - val_mse: 54979136.0000\n",
            "Epoch 14195/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4362.7383 - mae: 4362.7383 - mse: 48523664.0000 - val_loss: 4518.1538 - val_mae: 4518.1538 - val_mse: 54972548.0000\n",
            "Epoch 14196/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4362.2285 - mae: 4362.2285 - mse: 48517112.0000 - val_loss: 4517.7334 - val_mae: 4517.7334 - val_mse: 54966148.0000\n",
            "Epoch 14197/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4361.7334 - mae: 4361.7334 - mse: 48510868.0000 - val_loss: 4517.3018 - val_mae: 4517.3018 - val_mse: 54959572.0000\n",
            "Epoch 14198/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4361.2197 - mae: 4361.2197 - mse: 48504172.0000 - val_loss: 4516.8711 - val_mae: 4516.8711 - val_mse: 54953024.0000\n",
            "Epoch 14199/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4360.7349 - mae: 4360.7349 - mse: 48497792.0000 - val_loss: 4516.4351 - val_mae: 4516.4351 - val_mse: 54946384.0000\n",
            "Epoch 14200/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4360.2163 - mae: 4360.2163 - mse: 48491020.0000 - val_loss: 4516.0024 - val_mae: 4516.0024 - val_mse: 54939792.0000\n",
            "Epoch 14201/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4359.7183 - mae: 4359.7183 - mse: 48484872.0000 - val_loss: 4515.5630 - val_mae: 4515.5630 - val_mse: 54933104.0000\n",
            "Epoch 14202/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4359.2080 - mae: 4359.2080 - mse: 48478424.0000 - val_loss: 4515.1162 - val_mae: 4515.1162 - val_mse: 54926312.0000\n",
            "Epoch 14203/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4358.6875 - mae: 4358.6875 - mse: 48471356.0000 - val_loss: 4514.6748 - val_mae: 4514.6748 - val_mse: 54919592.0000\n",
            "Epoch 14204/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4358.1763 - mae: 4358.1763 - mse: 48464780.0000 - val_loss: 4514.2354 - val_mae: 4514.2354 - val_mse: 54912912.0000\n",
            "Epoch 14205/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4357.6699 - mae: 4357.6699 - mse: 48458248.0000 - val_loss: 4513.7891 - val_mae: 4513.7891 - val_mse: 54906120.0000\n",
            "Epoch 14206/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4357.1470 - mae: 4357.1470 - mse: 48451432.0000 - val_loss: 4513.3481 - val_mae: 4513.3481 - val_mse: 54899412.0000\n",
            "Epoch 14207/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4356.6304 - mae: 4356.6304 - mse: 48444764.0000 - val_loss: 4512.9111 - val_mae: 4512.9111 - val_mse: 54892776.0000\n",
            "Epoch 14208/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4356.1274 - mae: 4356.1274 - mse: 48438508.0000 - val_loss: 4512.4683 - val_mae: 4512.4683 - val_mse: 54886036.0000\n",
            "Epoch 14209/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4355.6069 - mae: 4355.6069 - mse: 48431456.0000 - val_loss: 4512.0337 - val_mae: 4512.0337 - val_mse: 54879424.0000\n",
            "Epoch 14210/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4355.1123 - mae: 4355.1123 - mse: 48425380.0000 - val_loss: 4511.6006 - val_mae: 4511.6006 - val_mse: 54872852.0000\n",
            "Epoch 14211/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4354.6099 - mae: 4354.6099 - mse: 48418504.0000 - val_loss: 4511.1675 - val_mae: 4511.1675 - val_mse: 54866268.0000\n",
            "Epoch 14212/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4354.0962 - mae: 4354.0962 - mse: 48411664.0000 - val_loss: 4510.7290 - val_mae: 4510.7290 - val_mse: 54859600.0000\n",
            "Epoch 14213/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4353.5938 - mae: 4353.5938 - mse: 48405228.0000 - val_loss: 4510.2773 - val_mae: 4510.2773 - val_mse: 54852740.0000\n",
            "Epoch 14214/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4353.0811 - mae: 4353.0811 - mse: 48399112.0000 - val_loss: 4509.8472 - val_mae: 4509.8472 - val_mse: 54846200.0000\n",
            "Epoch 14215/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4352.5801 - mae: 4352.5801 - mse: 48392720.0000 - val_loss: 4509.4087 - val_mae: 4509.4087 - val_mse: 54839544.0000\n",
            "Epoch 14216/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4352.0635 - mae: 4352.0635 - mse: 48385796.0000 - val_loss: 4508.9893 - val_mae: 4508.9893 - val_mse: 54833176.0000\n",
            "Epoch 14217/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4351.5811 - mae: 4351.5811 - mse: 48379600.0000 - val_loss: 4508.5542 - val_mae: 4508.5547 - val_mse: 54826572.0000\n",
            "Epoch 14218/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4351.0669 - mae: 4351.0669 - mse: 48373180.0000 - val_loss: 4508.1162 - val_mae: 4508.1162 - val_mse: 54819920.0000\n",
            "Epoch 14219/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4350.5532 - mae: 4350.5532 - mse: 48366372.0000 - val_loss: 4507.6743 - val_mae: 4507.6743 - val_mse: 54813216.0000\n",
            "Epoch 14220/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4350.0376 - mae: 4350.0376 - mse: 48359904.0000 - val_loss: 4507.2310 - val_mae: 4507.2310 - val_mse: 54806472.0000\n",
            "Epoch 14221/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4349.5264 - mae: 4349.5264 - mse: 48353152.0000 - val_loss: 4506.7856 - val_mae: 4506.7856 - val_mse: 54799724.0000\n",
            "Epoch 14222/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4349.0112 - mae: 4349.0112 - mse: 48346752.0000 - val_loss: 4506.3413 - val_mae: 4506.3413 - val_mse: 54792980.0000\n",
            "Epoch 14223/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4348.4868 - mae: 4348.4868 - mse: 48340088.0000 - val_loss: 4505.8950 - val_mae: 4505.8950 - val_mse: 54786204.0000\n",
            "Epoch 14224/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4347.9692 - mae: 4347.9692 - mse: 48333164.0000 - val_loss: 4505.4487 - val_mae: 4505.4487 - val_mse: 54779440.0000\n",
            "Epoch 14225/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4347.4580 - mae: 4347.4580 - mse: 48326836.0000 - val_loss: 4505.0020 - val_mae: 4505.0020 - val_mse: 54772660.0000\n",
            "Epoch 14226/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4346.9277 - mae: 4346.9277 - mse: 48319852.0000 - val_loss: 4504.5610 - val_mae: 4504.5610 - val_mse: 54765972.0000\n",
            "Epoch 14227/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4346.4268 - mae: 4346.4268 - mse: 48313236.0000 - val_loss: 4504.1299 - val_mae: 4504.1299 - val_mse: 54759436.0000\n",
            "Epoch 14228/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4345.9204 - mae: 4345.9204 - mse: 48306668.0000 - val_loss: 4503.6885 - val_mae: 4503.6885 - val_mse: 54752744.0000\n",
            "Epoch 14229/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4345.4106 - mae: 4345.4106 - mse: 48299928.0000 - val_loss: 4503.2554 - val_mae: 4503.2554 - val_mse: 54746176.0000\n",
            "Epoch 14230/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4344.9087 - mae: 4344.9087 - mse: 48293852.0000 - val_loss: 4502.8105 - val_mae: 4502.8105 - val_mse: 54739432.0000\n",
            "Epoch 14231/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4344.3882 - mae: 4344.3882 - mse: 48286904.0000 - val_loss: 4502.3750 - val_mae: 4502.3750 - val_mse: 54732832.0000\n",
            "Epoch 14232/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4343.8809 - mae: 4343.8809 - mse: 48280488.0000 - val_loss: 4501.9263 - val_mae: 4501.9263 - val_mse: 54726024.0000\n",
            "Epoch 14233/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4343.3511 - mae: 4343.3511 - mse: 48273676.0000 - val_loss: 4501.4888 - val_mae: 4501.4888 - val_mse: 54719400.0000\n",
            "Epoch 14234/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4342.8501 - mae: 4342.8501 - mse: 48267248.0000 - val_loss: 4501.0547 - val_mae: 4501.0547 - val_mse: 54712820.0000\n",
            "Epoch 14235/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4342.3486 - mae: 4342.3486 - mse: 48261076.0000 - val_loss: 4500.6201 - val_mae: 4500.6201 - val_mse: 54706240.0000\n",
            "Epoch 14236/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4341.8516 - mae: 4341.8516 - mse: 48254472.0000 - val_loss: 4500.1714 - val_mae: 4500.1714 - val_mse: 54699444.0000\n",
            "Epoch 14237/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4341.3184 - mae: 4341.3184 - mse: 48247740.0000 - val_loss: 4499.7339 - val_mae: 4499.7339 - val_mse: 54692832.0000\n",
            "Epoch 14238/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4340.8242 - mae: 4340.8242 - mse: 48241092.0000 - val_loss: 4499.3018 - val_mae: 4499.3018 - val_mse: 54686276.0000\n",
            "Epoch 14239/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4340.3149 - mae: 4340.3149 - mse: 48234664.0000 - val_loss: 4498.8618 - val_mae: 4498.8618 - val_mse: 54679620.0000\n",
            "Epoch 14240/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4339.7983 - mae: 4339.7983 - mse: 48228144.0000 - val_loss: 4498.4194 - val_mae: 4498.4194 - val_mse: 54672916.0000\n",
            "Epoch 14241/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4339.2939 - mae: 4339.2939 - mse: 48221780.0000 - val_loss: 4497.9824 - val_mae: 4497.9824 - val_mse: 54666316.0000\n",
            "Epoch 14242/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4338.7852 - mae: 4338.7852 - mse: 48215084.0000 - val_loss: 4497.5405 - val_mae: 4497.5405 - val_mse: 54659620.0000\n",
            "Epoch 14243/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4338.2749 - mae: 4338.2749 - mse: 48208492.0000 - val_loss: 4497.1079 - val_mae: 4497.1079 - val_mse: 54653072.0000\n",
            "Epoch 14244/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4337.7607 - mae: 4337.7607 - mse: 48201896.0000 - val_loss: 4496.6611 - val_mae: 4496.6611 - val_mse: 54646316.0000\n",
            "Epoch 14245/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4337.2451 - mae: 4337.2451 - mse: 48195488.0000 - val_loss: 4496.2202 - val_mae: 4496.2202 - val_mse: 54639648.0000\n",
            "Epoch 14246/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4336.7388 - mae: 4336.7388 - mse: 48188768.0000 - val_loss: 4495.7856 - val_mae: 4495.7856 - val_mse: 54633072.0000\n",
            "Epoch 14247/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4336.2300 - mae: 4336.2300 - mse: 48182316.0000 - val_loss: 4495.3550 - val_mae: 4495.3550 - val_mse: 54626568.0000\n",
            "Epoch 14248/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4335.7334 - mae: 4335.7334 - mse: 48175816.0000 - val_loss: 4494.9160 - val_mae: 4494.9160 - val_mse: 54619916.0000\n",
            "Epoch 14249/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4335.2212 - mae: 4335.2212 - mse: 48168868.0000 - val_loss: 4494.4766 - val_mae: 4494.4766 - val_mse: 54613280.0000\n",
            "Epoch 14250/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4334.7085 - mae: 4334.7085 - mse: 48162776.0000 - val_loss: 4494.0488 - val_mae: 4494.0488 - val_mse: 54606812.0000\n",
            "Epoch 14251/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4334.2036 - mae: 4334.2036 - mse: 48156024.0000 - val_loss: 4493.6064 - val_mae: 4493.6064 - val_mse: 54600136.0000\n",
            "Epoch 14252/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4333.6875 - mae: 4333.6875 - mse: 48149600.0000 - val_loss: 4493.1694 - val_mae: 4493.1694 - val_mse: 54593524.0000\n",
            "Epoch 14253/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4333.1909 - mae: 4333.1909 - mse: 48143648.0000 - val_loss: 4492.7363 - val_mae: 4492.7363 - val_mse: 54586980.0000\n",
            "Epoch 14254/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4332.6929 - mae: 4332.6929 - mse: 48137040.0000 - val_loss: 4492.3047 - val_mae: 4492.3047 - val_mse: 54580468.0000\n",
            "Epoch 14255/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4332.1904 - mae: 4332.1904 - mse: 48130084.0000 - val_loss: 4491.8740 - val_mae: 4491.8740 - val_mse: 54573956.0000\n",
            "Epoch 14256/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4331.7080 - mae: 4331.7080 - mse: 48123736.0000 - val_loss: 4491.4268 - val_mae: 4491.4268 - val_mse: 54567204.0000\n",
            "Epoch 14257/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4331.1880 - mae: 4331.1880 - mse: 48117112.0000 - val_loss: 4490.9814 - val_mae: 4490.9814 - val_mse: 54560480.0000\n",
            "Epoch 14258/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4330.6782 - mae: 4330.6782 - mse: 48110596.0000 - val_loss: 4490.5454 - val_mae: 4490.5454 - val_mse: 54553900.0000\n",
            "Epoch 14259/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4330.1748 - mae: 4330.1748 - mse: 48104156.0000 - val_loss: 4490.1118 - val_mae: 4490.1118 - val_mse: 54547348.0000\n",
            "Epoch 14260/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4329.6992 - mae: 4329.6992 - mse: 48097612.0000 - val_loss: 4489.6934 - val_mae: 4489.6934 - val_mse: 54541036.0000\n",
            "Epoch 14261/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4329.2041 - mae: 4329.2041 - mse: 48091280.0000 - val_loss: 4489.2676 - val_mae: 4489.2671 - val_mse: 54534600.0000\n",
            "Epoch 14262/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4328.7275 - mae: 4328.7275 - mse: 48085336.0000 - val_loss: 4488.8306 - val_mae: 4488.8306 - val_mse: 54528020.0000\n",
            "Epoch 14263/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4328.2334 - mae: 4328.2334 - mse: 48078420.0000 - val_loss: 4488.3901 - val_mae: 4488.3901 - val_mse: 54521368.0000\n",
            "Epoch 14264/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4327.7241 - mae: 4327.7241 - mse: 48072236.0000 - val_loss: 4487.9590 - val_mae: 4487.9590 - val_mse: 54514868.0000\n",
            "Epoch 14265/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4327.2236 - mae: 4327.2236 - mse: 48065344.0000 - val_loss: 4487.5205 - val_mae: 4487.5205 - val_mse: 54508244.0000\n",
            "Epoch 14266/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4326.7480 - mae: 4326.7480 - mse: 48058916.0000 - val_loss: 4487.0928 - val_mae: 4487.0928 - val_mse: 54501800.0000\n",
            "Epoch 14267/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4326.2578 - mae: 4326.2578 - mse: 48052560.0000 - val_loss: 4486.6763 - val_mae: 4486.6763 - val_mse: 54495508.0000\n",
            "Epoch 14268/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4325.7837 - mae: 4325.7837 - mse: 48046664.0000 - val_loss: 4486.2476 - val_mae: 4486.2476 - val_mse: 54489052.0000\n",
            "Epoch 14269/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4325.2954 - mae: 4325.2954 - mse: 48040172.0000 - val_loss: 4485.8306 - val_mae: 4485.8306 - val_mse: 54482764.0000\n",
            "Epoch 14270/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4324.8169 - mae: 4324.8169 - mse: 48033624.0000 - val_loss: 4485.4038 - val_mae: 4485.4038 - val_mse: 54476324.0000\n",
            "Epoch 14271/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4324.3447 - mae: 4324.3447 - mse: 48027752.0000 - val_loss: 4484.9819 - val_mae: 4484.9819 - val_mse: 54469976.0000\n",
            "Epoch 14272/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4323.8550 - mae: 4323.8550 - mse: 48021296.0000 - val_loss: 4484.5586 - val_mae: 4484.5586 - val_mse: 54463588.0000\n",
            "Epoch 14273/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4323.3745 - mae: 4323.3745 - mse: 48015268.0000 - val_loss: 4484.1240 - val_mae: 4484.1240 - val_mse: 54457044.0000\n",
            "Epoch 14274/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4322.8828 - mae: 4322.8828 - mse: 48008756.0000 - val_loss: 4483.6880 - val_mae: 4483.6880 - val_mse: 54450476.0000\n",
            "Epoch 14275/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4322.3818 - mae: 4322.3818 - mse: 48001832.0000 - val_loss: 4483.2578 - val_mae: 4483.2578 - val_mse: 54444000.0000\n",
            "Epoch 14276/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4321.8867 - mae: 4321.8867 - mse: 47995540.0000 - val_loss: 4482.8291 - val_mae: 4482.8291 - val_mse: 54437532.0000\n",
            "Epoch 14277/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4321.4160 - mae: 4321.4160 - mse: 47989784.0000 - val_loss: 4482.3921 - val_mae: 4482.3921 - val_mse: 54430956.0000\n",
            "Epoch 14278/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4320.9233 - mae: 4320.9233 - mse: 47982764.0000 - val_loss: 4481.9575 - val_mae: 4481.9575 - val_mse: 54424412.0000\n",
            "Epoch 14279/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4320.4175 - mae: 4320.4175 - mse: 47976184.0000 - val_loss: 4481.5220 - val_mae: 4481.5220 - val_mse: 54417856.0000\n",
            "Epoch 14280/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4319.9316 - mae: 4319.9316 - mse: 47969800.0000 - val_loss: 4481.1011 - val_mae: 4481.1011 - val_mse: 54411520.0000\n",
            "Epoch 14281/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4319.4585 - mae: 4319.4585 - mse: 47963488.0000 - val_loss: 4480.6914 - val_mae: 4480.6914 - val_mse: 54405352.0000\n",
            "Epoch 14282/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4318.9868 - mae: 4318.9868 - mse: 47957328.0000 - val_loss: 4480.2817 - val_mae: 4480.2817 - val_mse: 54399188.0000\n",
            "Epoch 14283/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4318.5210 - mae: 4318.5210 - mse: 47951348.0000 - val_loss: 4479.8745 - val_mae: 4479.8745 - val_mse: 54393064.0000\n",
            "Epoch 14284/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4318.0615 - mae: 4318.0615 - mse: 47945468.0000 - val_loss: 4479.4561 - val_mae: 4479.4561 - val_mse: 54386764.0000\n",
            "Epoch 14285/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4317.5859 - mae: 4317.5859 - mse: 47939388.0000 - val_loss: 4479.0479 - val_mae: 4479.0479 - val_mse: 54380624.0000\n",
            "Epoch 14286/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4317.1172 - mae: 4317.1172 - mse: 47933192.0000 - val_loss: 4478.6221 - val_mae: 4478.6221 - val_mse: 54374224.0000\n",
            "Epoch 14287/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4316.6338 - mae: 4316.6338 - mse: 47926652.0000 - val_loss: 4478.1968 - val_mae: 4478.1968 - val_mse: 54367824.0000\n",
            "Epoch 14288/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4316.1465 - mae: 4316.1465 - mse: 47920424.0000 - val_loss: 4477.7632 - val_mae: 4477.7632 - val_mse: 54361300.0000\n",
            "Epoch 14289/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4315.6465 - mae: 4315.6465 - mse: 47913728.0000 - val_loss: 4477.3218 - val_mae: 4477.3218 - val_mse: 54354668.0000\n",
            "Epoch 14290/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4315.1499 - mae: 4315.1499 - mse: 47907664.0000 - val_loss: 4476.8760 - val_mae: 4476.8760 - val_mse: 54347968.0000\n",
            "Epoch 14291/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4314.6455 - mae: 4314.6455 - mse: 47900332.0000 - val_loss: 4476.4473 - val_mae: 4476.4473 - val_mse: 54341520.0000\n",
            "Epoch 14292/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4314.1743 - mae: 4314.1743 - mse: 47895152.0000 - val_loss: 4476.0356 - val_mae: 4476.0356 - val_mse: 54335340.0000\n",
            "Epoch 14293/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4313.7119 - mae: 4313.7119 - mse: 47888652.0000 - val_loss: 4475.6274 - val_mae: 4475.6274 - val_mse: 54329200.0000\n",
            "Epoch 14294/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4313.2354 - mae: 4313.2354 - mse: 47882608.0000 - val_loss: 4475.2275 - val_mae: 4475.2275 - val_mse: 54323188.0000\n",
            "Epoch 14295/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4312.7788 - mae: 4312.7788 - mse: 47876260.0000 - val_loss: 4474.8037 - val_mae: 4474.8037 - val_mse: 54316824.0000\n",
            "Epoch 14296/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4312.2866 - mae: 4312.2866 - mse: 47869952.0000 - val_loss: 4474.3799 - val_mae: 4474.3799 - val_mse: 54310464.0000\n",
            "Epoch 14297/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4311.8062 - mae: 4311.8062 - mse: 47863716.0000 - val_loss: 4473.9556 - val_mae: 4473.9556 - val_mse: 54304100.0000\n",
            "Epoch 14298/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4311.3223 - mae: 4311.3223 - mse: 47857188.0000 - val_loss: 4473.5073 - val_mae: 4473.5073 - val_mse: 54297356.0000\n",
            "Epoch 14299/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4310.8086 - mae: 4310.8086 - mse: 47850748.0000 - val_loss: 4473.0562 - val_mae: 4473.0562 - val_mse: 54290576.0000\n",
            "Epoch 14300/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4310.2969 - mae: 4310.2969 - mse: 47843704.0000 - val_loss: 4472.6118 - val_mae: 4472.6118 - val_mse: 54283908.0000\n",
            "Epoch 14301/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4309.7852 - mae: 4309.7852 - mse: 47837304.0000 - val_loss: 4472.1582 - val_mae: 4472.1582 - val_mse: 54277096.0000\n",
            "Epoch 14302/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4309.2749 - mae: 4309.2749 - mse: 47830648.0000 - val_loss: 4471.7100 - val_mae: 4471.7100 - val_mse: 54270372.0000\n",
            "Epoch 14303/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4308.7588 - mae: 4308.7588 - mse: 47823916.0000 - val_loss: 4471.2554 - val_mae: 4471.2554 - val_mse: 54263544.0000\n",
            "Epoch 14304/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4308.2524 - mae: 4308.2524 - mse: 47817272.0000 - val_loss: 4470.8047 - val_mae: 4470.8047 - val_mse: 54256788.0000\n",
            "Epoch 14305/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4307.7583 - mae: 4307.7583 - mse: 47811160.0000 - val_loss: 4470.3599 - val_mae: 4470.3599 - val_mse: 54250108.0000\n",
            "Epoch 14306/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4307.2402 - mae: 4307.2402 - mse: 47804424.0000 - val_loss: 4469.9243 - val_mae: 4469.9243 - val_mse: 54243592.0000\n",
            "Epoch 14307/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4306.7456 - mae: 4306.7456 - mse: 47797580.0000 - val_loss: 4469.4839 - val_mae: 4469.4839 - val_mse: 54236976.0000\n",
            "Epoch 14308/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4306.2515 - mae: 4306.2515 - mse: 47791444.0000 - val_loss: 4469.0645 - val_mae: 4469.0645 - val_mse: 54230692.0000\n",
            "Epoch 14309/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4305.7773 - mae: 4305.7773 - mse: 47784960.0000 - val_loss: 4468.6646 - val_mae: 4468.6646 - val_mse: 54224696.0000\n",
            "Epoch 14310/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4305.3145 - mae: 4305.3145 - mse: 47779228.0000 - val_loss: 4468.2432 - val_mae: 4468.2432 - val_mse: 54218376.0000\n",
            "Epoch 14311/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4304.8359 - mae: 4304.8359 - mse: 47772528.0000 - val_loss: 4467.8110 - val_mae: 4467.8110 - val_mse: 54211896.0000\n",
            "Epoch 14312/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4304.3413 - mae: 4304.3413 - mse: 47766356.0000 - val_loss: 4467.3706 - val_mae: 4467.3706 - val_mse: 54205304.0000\n",
            "Epoch 14313/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4303.8320 - mae: 4303.8320 - mse: 47759708.0000 - val_loss: 4466.9336 - val_mae: 4466.9336 - val_mse: 54198748.0000\n",
            "Epoch 14314/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4303.3457 - mae: 4303.3457 - mse: 47753436.0000 - val_loss: 4466.4932 - val_mae: 4466.4932 - val_mse: 54192140.0000\n",
            "Epoch 14315/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4302.8496 - mae: 4302.8496 - mse: 47746896.0000 - val_loss: 4466.0557 - val_mae: 4466.0557 - val_mse: 54185584.0000\n",
            "Epoch 14316/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4302.3452 - mae: 4302.3452 - mse: 47740260.0000 - val_loss: 4465.6226 - val_mae: 4465.6226 - val_mse: 54179104.0000\n",
            "Epoch 14317/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4301.8706 - mae: 4301.8706 - mse: 47734180.0000 - val_loss: 4465.2153 - val_mae: 4465.2153 - val_mse: 54172996.0000\n",
            "Epoch 14318/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4301.3940 - mae: 4301.3940 - mse: 47728084.0000 - val_loss: 4464.7925 - val_mae: 4464.7925 - val_mse: 54166676.0000\n",
            "Epoch 14319/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4300.9209 - mae: 4300.9209 - mse: 47722068.0000 - val_loss: 4464.3760 - val_mae: 4464.3760 - val_mse: 54160440.0000\n",
            "Epoch 14320/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4300.4399 - mae: 4300.4399 - mse: 47715624.0000 - val_loss: 4463.9473 - val_mae: 4463.9473 - val_mse: 54154008.0000\n",
            "Epoch 14321/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4299.9531 - mae: 4299.9531 - mse: 47709248.0000 - val_loss: 4463.5029 - val_mae: 4463.5029 - val_mse: 54147372.0000\n",
            "Epoch 14322/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4299.4351 - mae: 4299.4351 - mse: 47702576.0000 - val_loss: 4463.0684 - val_mae: 4463.0684 - val_mse: 54140864.0000\n",
            "Epoch 14323/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4298.9580 - mae: 4298.9580 - mse: 47696408.0000 - val_loss: 4462.6240 - val_mae: 4462.6240 - val_mse: 54134216.0000\n",
            "Epoch 14324/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4298.4570 - mae: 4298.4570 - mse: 47689720.0000 - val_loss: 4462.1899 - val_mae: 4462.1899 - val_mse: 54127724.0000\n",
            "Epoch 14325/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4297.9609 - mae: 4297.9609 - mse: 47683732.0000 - val_loss: 4461.7559 - val_mae: 4461.7559 - val_mse: 54121228.0000\n",
            "Epoch 14326/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4297.4736 - mae: 4297.4736 - mse: 47676816.0000 - val_loss: 4461.3340 - val_mae: 4461.3340 - val_mse: 54114928.0000\n",
            "Epoch 14327/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4296.9858 - mae: 4296.9858 - mse: 47670676.0000 - val_loss: 4460.8989 - val_mae: 4460.8989 - val_mse: 54108408.0000\n",
            "Epoch 14328/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4296.4980 - mae: 4296.4980 - mse: 47664588.0000 - val_loss: 4460.4663 - val_mae: 4460.4663 - val_mse: 54101940.0000\n",
            "Epoch 14329/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4295.9941 - mae: 4295.9941 - mse: 47657424.0000 - val_loss: 4460.0332 - val_mae: 4460.0332 - val_mse: 54095460.0000\n",
            "Epoch 14330/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4295.4976 - mae: 4295.4976 - mse: 47651416.0000 - val_loss: 4459.5859 - val_mae: 4459.5859 - val_mse: 54088780.0000\n",
            "Epoch 14331/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4294.9868 - mae: 4294.9868 - mse: 47644428.0000 - val_loss: 4459.1470 - val_mae: 4459.1470 - val_mse: 54082224.0000\n",
            "Epoch 14332/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4294.4990 - mae: 4294.4990 - mse: 47638416.0000 - val_loss: 4458.6953 - val_mae: 4458.6953 - val_mse: 54075460.0000\n",
            "Epoch 14333/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4293.9722 - mae: 4293.9722 - mse: 47631224.0000 - val_loss: 4458.2368 - val_mae: 4458.2368 - val_mse: 54068612.0000\n",
            "Epoch 14334/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4293.4595 - mae: 4293.4595 - mse: 47624872.0000 - val_loss: 4457.7886 - val_mae: 4457.7886 - val_mse: 54061912.0000\n",
            "Epoch 14335/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4292.9629 - mae: 4292.9629 - mse: 47618480.0000 - val_loss: 4457.3555 - val_mae: 4457.3555 - val_mse: 54055448.0000\n",
            "Epoch 14336/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4292.4673 - mae: 4292.4673 - mse: 47611824.0000 - val_loss: 4456.9297 - val_mae: 4456.9297 - val_mse: 54049080.0000\n",
            "Epoch 14337/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4291.9937 - mae: 4291.9937 - mse: 47605548.0000 - val_loss: 4456.4990 - val_mae: 4456.4990 - val_mse: 54042656.0000\n",
            "Epoch 14338/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4291.5044 - mae: 4291.5044 - mse: 47599292.0000 - val_loss: 4456.0806 - val_mae: 4456.0806 - val_mse: 54036404.0000\n",
            "Epoch 14339/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4291.0161 - mae: 4291.0161 - mse: 47593168.0000 - val_loss: 4455.6597 - val_mae: 4455.6597 - val_mse: 54030116.0000\n",
            "Epoch 14340/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4290.5454 - mae: 4290.5454 - mse: 47586640.0000 - val_loss: 4455.2334 - val_mae: 4455.2334 - val_mse: 54023756.0000\n",
            "Epoch 14341/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4290.0625 - mae: 4290.0625 - mse: 47580552.0000 - val_loss: 4454.8164 - val_mae: 4454.8164 - val_mse: 54017528.0000\n",
            "Epoch 14342/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4289.5825 - mae: 4289.5825 - mse: 47574208.0000 - val_loss: 4454.3760 - val_mae: 4454.3760 - val_mse: 54010956.0000\n",
            "Epoch 14343/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4289.0669 - mae: 4289.0669 - mse: 47567616.0000 - val_loss: 4453.9355 - val_mae: 4453.9355 - val_mse: 54004388.0000\n",
            "Epoch 14344/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4288.5625 - mae: 4288.5625 - mse: 47561480.0000 - val_loss: 4453.4937 - val_mae: 4453.4937 - val_mse: 53997792.0000\n",
            "Epoch 14345/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4288.0693 - mae: 4288.0693 - mse: 47554896.0000 - val_loss: 4453.0391 - val_mae: 4453.0391 - val_mse: 53991000.0000\n",
            "Epoch 14346/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4287.5591 - mae: 4287.5591 - mse: 47548200.0000 - val_loss: 4452.5879 - val_mae: 4452.5879 - val_mse: 53984280.0000\n",
            "Epoch 14347/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4287.0522 - mae: 4287.0522 - mse: 47541832.0000 - val_loss: 4452.1387 - val_mae: 4452.1387 - val_mse: 53977576.0000\n",
            "Epoch 14348/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4286.5381 - mae: 4286.5381 - mse: 47535188.0000 - val_loss: 4451.6958 - val_mae: 4451.6958 - val_mse: 53970976.0000\n",
            "Epoch 14349/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4286.0356 - mae: 4286.0356 - mse: 47528732.0000 - val_loss: 4451.2500 - val_mae: 4451.2500 - val_mse: 53964324.0000\n",
            "Epoch 14350/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4285.5151 - mae: 4285.5151 - mse: 47521700.0000 - val_loss: 4450.7993 - val_mae: 4450.7993 - val_mse: 53957612.0000\n",
            "Epoch 14351/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4285.0000 - mae: 4285.0000 - mse: 47515112.0000 - val_loss: 4450.3403 - val_mae: 4450.3403 - val_mse: 53950764.0000\n",
            "Epoch 14352/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4284.4790 - mae: 4284.4790 - mse: 47508140.0000 - val_loss: 4449.8828 - val_mae: 4449.8828 - val_mse: 53943940.0000\n",
            "Epoch 14353/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4283.9678 - mae: 4283.9678 - mse: 47501300.0000 - val_loss: 4449.4434 - val_mae: 4449.4434 - val_mse: 53937408.0000\n",
            "Epoch 14354/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4283.4844 - mae: 4283.4844 - mse: 47495560.0000 - val_loss: 4449.0210 - val_mae: 4449.0210 - val_mse: 53931108.0000\n",
            "Epoch 14355/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4282.9995 - mae: 4282.9995 - mse: 47488932.0000 - val_loss: 4448.5913 - val_mae: 4448.5913 - val_mse: 53924700.0000\n",
            "Epoch 14356/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4282.5176 - mae: 4282.5176 - mse: 47483084.0000 - val_loss: 4448.1675 - val_mae: 4448.1675 - val_mse: 53918396.0000\n",
            "Epoch 14357/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4282.0288 - mae: 4282.0288 - mse: 47476544.0000 - val_loss: 4447.7402 - val_mae: 4447.7402 - val_mse: 53912028.0000\n",
            "Epoch 14358/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4281.5483 - mae: 4281.5483 - mse: 47470472.0000 - val_loss: 4447.3203 - val_mae: 4447.3203 - val_mse: 53905772.0000\n",
            "Epoch 14359/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4281.0771 - mae: 4281.0771 - mse: 47463996.0000 - val_loss: 4446.8979 - val_mae: 4446.8979 - val_mse: 53899488.0000\n",
            "Epoch 14360/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4280.5767 - mae: 4280.5767 - mse: 47457972.0000 - val_loss: 4446.4629 - val_mae: 4446.4629 - val_mse: 53893012.0000\n",
            "Epoch 14361/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4280.0854 - mae: 4280.0854 - mse: 47451460.0000 - val_loss: 4446.0229 - val_mae: 4446.0229 - val_mse: 53886452.0000\n",
            "Epoch 14362/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4279.5908 - mae: 4279.5908 - mse: 47445080.0000 - val_loss: 4445.5908 - val_mae: 4445.5908 - val_mse: 53880032.0000\n",
            "Epoch 14363/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4279.1084 - mae: 4279.1084 - mse: 47438528.0000 - val_loss: 4445.1860 - val_mae: 4445.1860 - val_mse: 53874008.0000\n",
            "Epoch 14364/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4278.6533 - mae: 4278.6533 - mse: 47432672.0000 - val_loss: 4444.7769 - val_mae: 4444.7769 - val_mse: 53867912.0000\n",
            "Epoch 14365/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4278.1851 - mae: 4278.1851 - mse: 47427128.0000 - val_loss: 4444.3643 - val_mae: 4444.3643 - val_mse: 53861776.0000\n",
            "Epoch 14366/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4277.7090 - mae: 4277.7090 - mse: 47420880.0000 - val_loss: 4443.9604 - val_mae: 4443.9604 - val_mse: 53855312.0000\n",
            "Epoch 14367/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4277.2139 - mae: 4277.2139 - mse: 47414168.0000 - val_loss: 4443.5605 - val_mae: 4443.5605 - val_mse: 53848764.0000\n",
            "Epoch 14368/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4276.7007 - mae: 4276.7007 - mse: 47407640.0000 - val_loss: 4443.1621 - val_mae: 4443.1621 - val_mse: 53842220.0000\n",
            "Epoch 14369/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4276.2065 - mae: 4276.2065 - mse: 47401160.0000 - val_loss: 4442.7725 - val_mae: 4442.7725 - val_mse: 53835824.0000\n",
            "Epoch 14370/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4275.7119 - mae: 4275.7119 - mse: 47394504.0000 - val_loss: 4442.3652 - val_mae: 4442.3652 - val_mse: 53829140.0000\n",
            "Epoch 14371/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4275.2036 - mae: 4275.2036 - mse: 47388032.0000 - val_loss: 4441.9507 - val_mae: 4441.9507 - val_mse: 53822340.0000\n",
            "Epoch 14372/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4274.6885 - mae: 4274.6885 - mse: 47381564.0000 - val_loss: 4441.5488 - val_mae: 4441.5488 - val_mse: 53815744.0000\n",
            "Epoch 14373/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4274.1914 - mae: 4274.1914 - mse: 47375212.0000 - val_loss: 4441.1392 - val_mae: 4441.1392 - val_mse: 53809028.0000\n",
            "Epoch 14374/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4273.6772 - mae: 4273.6772 - mse: 47368352.0000 - val_loss: 4440.7432 - val_mae: 4440.7432 - val_mse: 53802544.0000\n",
            "Epoch 14375/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4273.1890 - mae: 4273.1890 - mse: 47361920.0000 - val_loss: 4440.3696 - val_mae: 4440.3696 - val_mse: 53796408.0000\n",
            "Epoch 14376/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4272.7231 - mae: 4272.7231 - mse: 47356032.0000 - val_loss: 4440.0068 - val_mae: 4440.0068 - val_mse: 53790472.0000\n",
            "Epoch 14377/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4272.2627 - mae: 4272.2627 - mse: 47350196.0000 - val_loss: 4439.6211 - val_mae: 4439.6211 - val_mse: 53784140.0000\n",
            "Epoch 14378/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4271.7710 - mae: 4271.7710 - mse: 47343852.0000 - val_loss: 4439.2461 - val_mae: 4439.2461 - val_mse: 53778008.0000\n",
            "Epoch 14379/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4271.3120 - mae: 4271.3120 - mse: 47337800.0000 - val_loss: 4438.8535 - val_mae: 4438.8535 - val_mse: 53771564.0000\n",
            "Epoch 14380/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4270.8003 - mae: 4270.8003 - mse: 47331348.0000 - val_loss: 4438.4458 - val_mae: 4438.4458 - val_mse: 53764888.0000\n",
            "Epoch 14381/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4270.2900 - mae: 4270.2900 - mse: 47324888.0000 - val_loss: 4438.0337 - val_mae: 4438.0337 - val_mse: 53758132.0000\n",
            "Epoch 14382/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4269.7734 - mae: 4269.7734 - mse: 47317860.0000 - val_loss: 4437.6274 - val_mae: 4437.6274 - val_mse: 53751476.0000\n",
            "Epoch 14383/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4269.2710 - mae: 4269.2710 - mse: 47311664.0000 - val_loss: 4437.2129 - val_mae: 4437.2129 - val_mse: 53744696.0000\n",
            "Epoch 14384/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4268.7285 - mae: 4268.7285 - mse: 47304552.0000 - val_loss: 4436.7944 - val_mae: 4436.7944 - val_mse: 53737836.0000\n",
            "Epoch 14385/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4268.2178 - mae: 4268.2178 - mse: 47297688.0000 - val_loss: 4436.3735 - val_mae: 4436.3735 - val_mse: 53730952.0000\n",
            "Epoch 14386/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4267.6890 - mae: 4267.6890 - mse: 47290960.0000 - val_loss: 4435.9507 - val_mae: 4435.9507 - val_mse: 53724028.0000\n",
            "Epoch 14387/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4267.1479 - mae: 4267.1479 - mse: 47284408.0000 - val_loss: 4435.5420 - val_mae: 4435.5420 - val_mse: 53717340.0000\n",
            "Epoch 14388/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4266.6543 - mae: 4266.6543 - mse: 47277780.0000 - val_loss: 4435.1392 - val_mae: 4435.1392 - val_mse: 53710748.0000\n",
            "Epoch 14389/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4266.1411 - mae: 4266.1411 - mse: 47271084.0000 - val_loss: 4434.7441 - val_mae: 4434.7441 - val_mse: 53704280.0000\n",
            "Epoch 14390/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4265.6597 - mae: 4265.6597 - mse: 47264848.0000 - val_loss: 4434.3394 - val_mae: 4434.3394 - val_mse: 53697660.0000\n",
            "Epoch 14391/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4265.1479 - mae: 4265.1479 - mse: 47258388.0000 - val_loss: 4433.9512 - val_mae: 4433.9512 - val_mse: 53691316.0000\n",
            "Epoch 14392/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4264.6802 - mae: 4264.6802 - mse: 47252192.0000 - val_loss: 4433.5791 - val_mae: 4433.5791 - val_mse: 53685228.0000\n",
            "Epoch 14393/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4264.1982 - mae: 4264.1982 - mse: 47245904.0000 - val_loss: 4433.2007 - val_mae: 4433.2007 - val_mse: 53679048.0000\n",
            "Epoch 14394/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4263.7183 - mae: 4263.7183 - mse: 47239784.0000 - val_loss: 4432.7935 - val_mae: 4432.7935 - val_mse: 53672380.0000\n",
            "Epoch 14395/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4263.2041 - mae: 4263.2041 - mse: 47233316.0000 - val_loss: 4432.3887 - val_mae: 4432.3887 - val_mse: 53665768.0000\n",
            "Epoch 14396/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4262.6943 - mae: 4262.6943 - mse: 47226388.0000 - val_loss: 4431.9819 - val_mae: 4431.9819 - val_mse: 53659124.0000\n",
            "Epoch 14397/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4262.1694 - mae: 4262.1694 - mse: 47220072.0000 - val_loss: 4431.5537 - val_mae: 4431.5537 - val_mse: 53652132.0000\n",
            "Epoch 14398/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4261.6519 - mae: 4261.6519 - mse: 47213200.0000 - val_loss: 4431.1235 - val_mae: 4431.1235 - val_mse: 53645092.0000\n",
            "Epoch 14399/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4261.1084 - mae: 4261.1084 - mse: 47206232.0000 - val_loss: 4430.7207 - val_mae: 4430.7207 - val_mse: 53638508.0000\n",
            "Epoch 14400/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4260.5991 - mae: 4260.5991 - mse: 47199780.0000 - val_loss: 4430.3062 - val_mae: 4430.3062 - val_mse: 53631732.0000\n",
            "Epoch 14401/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4260.0972 - mae: 4260.0972 - mse: 47193248.0000 - val_loss: 4429.8916 - val_mae: 4429.8916 - val_mse: 53624968.0000\n",
            "Epoch 14402/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4259.5649 - mae: 4259.5649 - mse: 47186400.0000 - val_loss: 4429.4888 - val_mae: 4429.4888 - val_mse: 53618396.0000\n",
            "Epoch 14403/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4259.0791 - mae: 4259.0791 - mse: 47180140.0000 - val_loss: 4429.0840 - val_mae: 4429.0840 - val_mse: 53611784.0000\n",
            "Epoch 14404/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4258.5747 - mae: 4258.5747 - mse: 47173768.0000 - val_loss: 4428.6982 - val_mae: 4428.6982 - val_mse: 53605484.0000\n",
            "Epoch 14405/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4258.0967 - mae: 4258.0967 - mse: 47167332.0000 - val_loss: 4428.3423 - val_mae: 4428.3423 - val_mse: 53599680.0000\n",
            "Epoch 14406/16000\n",
            "6/6 [==============================] - 0s 14ms/step - loss: 4257.6460 - mae: 4257.6460 - mse: 47161848.0000 - val_loss: 4427.9922 - val_mae: 4427.9922 - val_mse: 53593964.0000\n",
            "Epoch 14407/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4257.1958 - mae: 4257.1958 - mse: 47155792.0000 - val_loss: 4427.6035 - val_mae: 4427.6035 - val_mse: 53587612.0000\n",
            "Epoch 14408/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4256.7075 - mae: 4256.7075 - mse: 47149732.0000 - val_loss: 4427.2202 - val_mae: 4427.2202 - val_mse: 53581360.0000\n",
            "Epoch 14409/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4256.2183 - mae: 4256.2183 - mse: 47143200.0000 - val_loss: 4426.8350 - val_mae: 4426.8350 - val_mse: 53575080.0000\n",
            "Epoch 14410/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4255.7480 - mae: 4255.7480 - mse: 47137248.0000 - val_loss: 4426.4629 - val_mae: 4426.4629 - val_mse: 53568992.0000\n",
            "Epoch 14411/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4255.2856 - mae: 4255.2856 - mse: 47131300.0000 - val_loss: 4426.0835 - val_mae: 4426.0835 - val_mse: 53562816.0000\n",
            "Epoch 14412/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4254.8027 - mae: 4254.8027 - mse: 47124828.0000 - val_loss: 4425.7002 - val_mae: 4425.7002 - val_mse: 53556560.0000\n",
            "Epoch 14413/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4254.3213 - mae: 4254.3213 - mse: 47119000.0000 - val_loss: 4425.3101 - val_mae: 4425.3101 - val_mse: 53550204.0000\n",
            "Epoch 14414/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4253.8350 - mae: 4253.8350 - mse: 47112656.0000 - val_loss: 4424.9111 - val_mae: 4424.9111 - val_mse: 53543704.0000\n",
            "Epoch 14415/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4253.3296 - mae: 4253.3296 - mse: 47106264.0000 - val_loss: 4424.5264 - val_mae: 4424.5264 - val_mse: 53537424.0000\n",
            "Epoch 14416/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4252.8516 - mae: 4252.8516 - mse: 47100228.0000 - val_loss: 4424.1304 - val_mae: 4424.1304 - val_mse: 53530972.0000\n",
            "Epoch 14417/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4252.3501 - mae: 4252.3501 - mse: 47093360.0000 - val_loss: 4423.7319 - val_mae: 4423.7319 - val_mse: 53524480.0000\n",
            "Epoch 14418/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4251.8638 - mae: 4251.8638 - mse: 47087252.0000 - val_loss: 4423.3252 - val_mae: 4423.3252 - val_mse: 53517856.0000\n",
            "Epoch 14419/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4251.3652 - mae: 4251.3652 - mse: 47080868.0000 - val_loss: 4422.9497 - val_mae: 4422.9497 - val_mse: 53511744.0000\n",
            "Epoch 14420/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4250.8809 - mae: 4250.8809 - mse: 47074596.0000 - val_loss: 4422.5830 - val_mae: 4422.5830 - val_mse: 53505772.0000\n",
            "Epoch 14421/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4250.4194 - mae: 4250.4194 - mse: 47068700.0000 - val_loss: 4422.1938 - val_mae: 4422.1938 - val_mse: 53499424.0000\n",
            "Epoch 14422/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4249.9248 - mae: 4249.9248 - mse: 47062320.0000 - val_loss: 4421.7964 - val_mae: 4421.7964 - val_mse: 53492960.0000\n",
            "Epoch 14423/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4249.4297 - mae: 4249.4297 - mse: 47056400.0000 - val_loss: 4421.3950 - val_mae: 4421.3950 - val_mse: 53486416.0000\n",
            "Epoch 14424/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4248.9243 - mae: 4248.9243 - mse: 47049380.0000 - val_loss: 4420.9966 - val_mae: 4420.9966 - val_mse: 53479936.0000\n",
            "Epoch 14425/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4248.4175 - mae: 4248.4175 - mse: 47043184.0000 - val_loss: 4420.6064 - val_mae: 4420.6064 - val_mse: 53473580.0000\n",
            "Epoch 14426/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4247.9302 - mae: 4247.9302 - mse: 47036708.0000 - val_loss: 4420.2012 - val_mae: 4420.2012 - val_mse: 53466988.0000\n",
            "Epoch 14427/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4247.4053 - mae: 4247.4053 - mse: 47029924.0000 - val_loss: 4419.7925 - val_mae: 4419.7925 - val_mse: 53460332.0000\n",
            "Epoch 14428/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4246.9092 - mae: 4246.9092 - mse: 47023548.0000 - val_loss: 4419.3760 - val_mae: 4419.3760 - val_mse: 53453556.0000\n",
            "Epoch 14429/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4246.3809 - mae: 4246.3809 - mse: 47017084.0000 - val_loss: 4418.9834 - val_mae: 4418.9834 - val_mse: 53447160.0000\n",
            "Epoch 14430/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4245.8950 - mae: 4245.8950 - mse: 47010548.0000 - val_loss: 4418.5854 - val_mae: 4418.5854 - val_mse: 53440704.0000\n",
            "Epoch 14431/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4245.3755 - mae: 4245.3755 - mse: 47003768.0000 - val_loss: 4418.1689 - val_mae: 4418.1689 - val_mse: 53433924.0000\n",
            "Epoch 14432/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4244.8618 - mae: 4244.8618 - mse: 46997640.0000 - val_loss: 4417.7490 - val_mae: 4417.7490 - val_mse: 53427088.0000\n",
            "Epoch 14433/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4244.3403 - mae: 4244.3403 - mse: 46990656.0000 - val_loss: 4417.3335 - val_mae: 4417.3335 - val_mse: 53420332.0000\n",
            "Epoch 14434/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4243.8257 - mae: 4243.8257 - mse: 46983848.0000 - val_loss: 4416.9204 - val_mae: 4416.9204 - val_mse: 53413612.0000\n",
            "Epoch 14435/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4243.3096 - mae: 4243.3096 - mse: 46977328.0000 - val_loss: 4416.5215 - val_mae: 4416.5215 - val_mse: 53407124.0000\n",
            "Epoch 14436/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4242.8013 - mae: 4242.8013 - mse: 46970848.0000 - val_loss: 4416.1172 - val_mae: 4416.1172 - val_mse: 53400564.0000\n",
            "Epoch 14437/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4242.2935 - mae: 4242.2935 - mse: 46964428.0000 - val_loss: 4415.7163 - val_mae: 4415.7163 - val_mse: 53394044.0000\n",
            "Epoch 14438/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4241.7759 - mae: 4241.7759 - mse: 46957676.0000 - val_loss: 4415.3013 - val_mae: 4415.3013 - val_mse: 53387300.0000\n",
            "Epoch 14439/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4241.2646 - mae: 4241.2646 - mse: 46950996.0000 - val_loss: 4414.8750 - val_mae: 4414.8750 - val_mse: 53380384.0000\n",
            "Epoch 14440/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4240.7393 - mae: 4240.7393 - mse: 46944144.0000 - val_loss: 4414.4731 - val_mae: 4414.4731 - val_mse: 53373860.0000\n",
            "Epoch 14441/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4240.2485 - mae: 4240.2485 - mse: 46938132.0000 - val_loss: 4414.0806 - val_mae: 4414.0806 - val_mse: 53367476.0000\n",
            "Epoch 14442/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4239.7495 - mae: 4239.7495 - mse: 46931448.0000 - val_loss: 4413.6885 - val_mae: 4413.6885 - val_mse: 53361116.0000\n",
            "Epoch 14443/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4239.2617 - mae: 4239.2617 - mse: 46925372.0000 - val_loss: 4413.3047 - val_mae: 4413.3047 - val_mse: 53354876.0000\n",
            "Epoch 14444/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4238.7754 - mae: 4238.7754 - mse: 46919536.0000 - val_loss: 4412.9263 - val_mae: 4412.9263 - val_mse: 53348740.0000\n",
            "Epoch 14445/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4238.2935 - mae: 4238.2935 - mse: 46913104.0000 - val_loss: 4412.5205 - val_mae: 4412.5205 - val_mse: 53342152.0000\n",
            "Epoch 14446/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4237.7915 - mae: 4237.7915 - mse: 46906932.0000 - val_loss: 4412.1138 - val_mae: 4412.1138 - val_mse: 53335552.0000\n",
            "Epoch 14447/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4237.2852 - mae: 4237.2852 - mse: 46900620.0000 - val_loss: 4411.7207 - val_mae: 4411.7207 - val_mse: 53329172.0000\n",
            "Epoch 14448/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4236.7871 - mae: 4236.7871 - mse: 46893908.0000 - val_loss: 4411.3188 - val_mae: 4411.3188 - val_mse: 53322660.0000\n",
            "Epoch 14449/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4236.2842 - mae: 4236.2842 - mse: 46887576.0000 - val_loss: 4410.9243 - val_mae: 4410.9243 - val_mse: 53316260.0000\n",
            "Epoch 14450/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4235.7905 - mae: 4235.7905 - mse: 46881176.0000 - val_loss: 4410.5391 - val_mae: 4410.5391 - val_mse: 53310016.0000\n",
            "Epoch 14451/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4235.3149 - mae: 4235.3149 - mse: 46874908.0000 - val_loss: 4410.1450 - val_mae: 4410.1450 - val_mse: 53303608.0000\n",
            "Epoch 14452/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4234.8105 - mae: 4234.8105 - mse: 46868428.0000 - val_loss: 4409.7432 - val_mae: 4409.7432 - val_mse: 53297104.0000\n",
            "Epoch 14453/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4234.3037 - mae: 4234.3037 - mse: 46861932.0000 - val_loss: 4409.3428 - val_mae: 4409.3428 - val_mse: 53290608.0000\n",
            "Epoch 14454/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4233.8130 - mae: 4233.8130 - mse: 46855984.0000 - val_loss: 4408.9468 - val_mae: 4408.9468 - val_mse: 53284184.0000\n",
            "Epoch 14455/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4233.3101 - mae: 4233.3101 - mse: 46849444.0000 - val_loss: 4408.5635 - val_mae: 4408.5635 - val_mse: 53277964.0000\n",
            "Epoch 14456/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4232.8384 - mae: 4232.8384 - mse: 46843400.0000 - val_loss: 4408.1675 - val_mae: 4408.1675 - val_mse: 53271560.0000\n",
            "Epoch 14457/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4232.3301 - mae: 4232.3301 - mse: 46836900.0000 - val_loss: 4407.7700 - val_mae: 4407.7700 - val_mse: 53265120.0000\n",
            "Epoch 14458/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4231.8281 - mae: 4231.8281 - mse: 46830260.0000 - val_loss: 4407.3657 - val_mae: 4407.3657 - val_mse: 53258564.0000\n",
            "Epoch 14459/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4231.3223 - mae: 4231.3223 - mse: 46824008.0000 - val_loss: 4406.9556 - val_mae: 4406.9556 - val_mse: 53251920.0000\n",
            "Epoch 14460/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4230.8218 - mae: 4230.8218 - mse: 46817708.0000 - val_loss: 4406.5757 - val_mae: 4406.5757 - val_mse: 53245776.0000\n",
            "Epoch 14461/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4230.3501 - mae: 4230.3501 - mse: 46811620.0000 - val_loss: 4406.1807 - val_mae: 4406.1807 - val_mse: 53239364.0000\n",
            "Epoch 14462/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4229.8433 - mae: 4229.8433 - mse: 46804944.0000 - val_loss: 4405.7959 - val_mae: 4405.7959 - val_mse: 53233140.0000\n",
            "Epoch 14463/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4229.3706 - mae: 4229.3706 - mse: 46798544.0000 - val_loss: 4405.4194 - val_mae: 4405.4194 - val_mse: 53227044.0000\n",
            "Epoch 14464/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4228.8989 - mae: 4228.8989 - mse: 46793020.0000 - val_loss: 4405.0337 - val_mae: 4405.0337 - val_mse: 53220800.0000\n",
            "Epoch 14465/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4228.4067 - mae: 4228.4067 - mse: 46786224.0000 - val_loss: 4404.6411 - val_mae: 4404.6411 - val_mse: 53214452.0000\n",
            "Epoch 14466/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4227.9087 - mae: 4227.9087 - mse: 46780388.0000 - val_loss: 4404.2305 - val_mae: 4404.2305 - val_mse: 53207808.0000\n",
            "Epoch 14467/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4227.3979 - mae: 4227.3979 - mse: 46773456.0000 - val_loss: 4403.8208 - val_mae: 4403.8208 - val_mse: 53201176.0000\n",
            "Epoch 14468/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4226.8760 - mae: 4226.8760 - mse: 46767080.0000 - val_loss: 4403.4175 - val_mae: 4403.4175 - val_mse: 53194664.0000\n",
            "Epoch 14469/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4226.3730 - mae: 4226.3730 - mse: 46760788.0000 - val_loss: 4403.0215 - val_mae: 4403.0215 - val_mse: 53188252.0000\n",
            "Epoch 14470/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4225.8848 - mae: 4225.8848 - mse: 46754260.0000 - val_loss: 4402.6289 - val_mae: 4402.6289 - val_mse: 53181888.0000\n",
            "Epoch 14471/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4225.3921 - mae: 4225.3921 - mse: 46747804.0000 - val_loss: 4402.2222 - val_mae: 4402.2222 - val_mse: 53175328.0000\n",
            "Epoch 14472/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4224.8774 - mae: 4224.8774 - mse: 46741400.0000 - val_loss: 4401.8135 - val_mae: 4401.8135 - val_mse: 53168716.0000\n",
            "Epoch 14473/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4224.3643 - mae: 4224.3643 - mse: 46735248.0000 - val_loss: 4401.4141 - val_mae: 4401.4141 - val_mse: 53162260.0000\n",
            "Epoch 14474/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4223.8677 - mae: 4223.8677 - mse: 46728724.0000 - val_loss: 4401.0117 - val_mae: 4401.0117 - val_mse: 53155752.0000\n",
            "Epoch 14475/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4223.3516 - mae: 4223.3516 - mse: 46722028.0000 - val_loss: 4400.6118 - val_mae: 4400.6118 - val_mse: 53149296.0000\n",
            "Epoch 14476/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4222.8618 - mae: 4222.8618 - mse: 46715792.0000 - val_loss: 4400.2036 - val_mae: 4400.2036 - val_mse: 53142696.0000\n",
            "Epoch 14477/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4222.3452 - mae: 4222.3452 - mse: 46709112.0000 - val_loss: 4399.8013 - val_mae: 4399.8013 - val_mse: 53136196.0000\n",
            "Epoch 14478/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4221.8535 - mae: 4221.8535 - mse: 46702788.0000 - val_loss: 4399.4087 - val_mae: 4399.4087 - val_mse: 53129852.0000\n",
            "Epoch 14479/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4221.3696 - mae: 4221.3696 - mse: 46696804.0000 - val_loss: 4399.0396 - val_mae: 4399.0396 - val_mse: 53123896.0000\n",
            "Epoch 14480/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4220.9058 - mae: 4220.9058 - mse: 46690952.0000 - val_loss: 4398.6685 - val_mae: 4398.6685 - val_mse: 53117904.0000\n",
            "Epoch 14481/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4220.4346 - mae: 4220.4346 - mse: 46684828.0000 - val_loss: 4398.2891 - val_mae: 4398.2891 - val_mse: 53111772.0000\n",
            "Epoch 14482/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4219.9609 - mae: 4219.9609 - mse: 46679060.0000 - val_loss: 4397.9180 - val_mae: 4397.9180 - val_mse: 53105788.0000\n",
            "Epoch 14483/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4219.4932 - mae: 4219.4932 - mse: 46672616.0000 - val_loss: 4397.5366 - val_mae: 4397.5366 - val_mse: 53099628.0000\n",
            "Epoch 14484/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4219.0039 - mae: 4219.0039 - mse: 46666744.0000 - val_loss: 4397.1455 - val_mae: 4397.1455 - val_mse: 53093320.0000\n",
            "Epoch 14485/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4218.5181 - mae: 4218.5181 - mse: 46660276.0000 - val_loss: 4396.7368 - val_mae: 4396.7368 - val_mse: 53086712.0000\n",
            "Epoch 14486/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4217.9917 - mae: 4217.9917 - mse: 46653944.0000 - val_loss: 4396.3306 - val_mae: 4396.3306 - val_mse: 53080156.0000\n",
            "Epoch 14487/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4217.4834 - mae: 4217.4834 - mse: 46647352.0000 - val_loss: 4395.9243 - val_mae: 4395.9243 - val_mse: 53073608.0000\n",
            "Epoch 14488/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4216.9868 - mae: 4216.9868 - mse: 46640640.0000 - val_loss: 4395.5303 - val_mae: 4395.5303 - val_mse: 53067252.0000\n",
            "Epoch 14489/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4216.4980 - mae: 4216.4980 - mse: 46634660.0000 - val_loss: 4395.1523 - val_mae: 4395.1523 - val_mse: 53061156.0000\n",
            "Epoch 14490/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4216.0181 - mae: 4216.0181 - mse: 46628644.0000 - val_loss: 4394.7607 - val_mae: 4394.7607 - val_mse: 53054832.0000\n",
            "Epoch 14491/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4215.5254 - mae: 4215.5254 - mse: 46622188.0000 - val_loss: 4394.3560 - val_mae: 4394.3560 - val_mse: 53048308.0000\n",
            "Epoch 14492/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4215.0161 - mae: 4215.0161 - mse: 46616268.0000 - val_loss: 4393.9443 - val_mae: 4393.9443 - val_mse: 53041676.0000\n",
            "Epoch 14493/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4214.5088 - mae: 4214.5088 - mse: 46609412.0000 - val_loss: 4393.5542 - val_mae: 4393.5542 - val_mse: 53035384.0000\n",
            "Epoch 14494/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4214.0176 - mae: 4214.0176 - mse: 46603268.0000 - val_loss: 4393.1592 - val_mae: 4393.1592 - val_mse: 53029028.0000\n",
            "Epoch 14495/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4213.5186 - mae: 4213.5186 - mse: 46596744.0000 - val_loss: 4392.7651 - val_mae: 4392.7651 - val_mse: 53022672.0000\n",
            "Epoch 14496/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4213.0293 - mae: 4213.0293 - mse: 46590672.0000 - val_loss: 4392.3691 - val_mae: 4392.3691 - val_mse: 53016276.0000\n",
            "Epoch 14497/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4212.5337 - mae: 4212.5337 - mse: 46584368.0000 - val_loss: 4391.9639 - val_mae: 4391.9639 - val_mse: 53009756.0000\n",
            "Epoch 14498/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4212.0093 - mae: 4212.0093 - mse: 46577516.0000 - val_loss: 4391.5615 - val_mae: 4391.5615 - val_mse: 53003272.0000\n",
            "Epoch 14499/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4211.5166 - mae: 4211.5166 - mse: 46571408.0000 - val_loss: 4391.1719 - val_mae: 4391.1719 - val_mse: 52997000.0000\n",
            "Epoch 14500/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4211.0132 - mae: 4211.0132 - mse: 46564928.0000 - val_loss: 4390.7837 - val_mae: 4390.7837 - val_mse: 52990744.0000\n",
            "Epoch 14501/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4210.5352 - mae: 4210.5352 - mse: 46559100.0000 - val_loss: 4390.3984 - val_mae: 4390.3984 - val_mse: 52984556.0000\n",
            "Epoch 14502/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4210.0557 - mae: 4210.0557 - mse: 46553024.0000 - val_loss: 4390.0132 - val_mae: 4390.0132 - val_mse: 52978344.0000\n",
            "Epoch 14503/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4209.5669 - mae: 4209.5669 - mse: 46546468.0000 - val_loss: 4389.6191 - val_mae: 4389.6191 - val_mse: 52971996.0000\n",
            "Epoch 14504/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4209.0796 - mae: 4209.0796 - mse: 46540276.0000 - val_loss: 4389.2246 - val_mae: 4389.2246 - val_mse: 52965656.0000\n",
            "Epoch 14505/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4208.5889 - mae: 4208.5889 - mse: 46534104.0000 - val_loss: 4388.8447 - val_mae: 4388.8447 - val_mse: 52959544.0000\n",
            "Epoch 14506/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4208.1133 - mae: 4208.1133 - mse: 46528092.0000 - val_loss: 4388.4502 - val_mae: 4388.4502 - val_mse: 52953196.0000\n",
            "Epoch 14507/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4207.6206 - mae: 4207.6206 - mse: 46521892.0000 - val_loss: 4388.0801 - val_mae: 4388.0801 - val_mse: 52947236.0000\n",
            "Epoch 14508/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4207.1592 - mae: 4207.1592 - mse: 46515832.0000 - val_loss: 4387.6841 - val_mae: 4387.6841 - val_mse: 52940868.0000\n",
            "Epoch 14509/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4206.6499 - mae: 4206.6499 - mse: 46509288.0000 - val_loss: 4387.2798 - val_mae: 4387.2798 - val_mse: 52934364.0000\n",
            "Epoch 14510/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4206.1372 - mae: 4206.1372 - mse: 46502960.0000 - val_loss: 4386.8809 - val_mae: 4386.8809 - val_mse: 52927956.0000\n",
            "Epoch 14511/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4205.6470 - mae: 4205.6470 - mse: 46496692.0000 - val_loss: 4386.4756 - val_mae: 4386.4756 - val_mse: 52921436.0000\n",
            "Epoch 14512/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4205.1206 - mae: 4205.1206 - mse: 46489900.0000 - val_loss: 4386.0762 - val_mae: 4386.0762 - val_mse: 52915008.0000\n",
            "Epoch 14513/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4204.6284 - mae: 4204.6284 - mse: 46483984.0000 - val_loss: 4385.6724 - val_mae: 4385.6724 - val_mse: 52908520.0000\n",
            "Epoch 14514/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4204.1196 - mae: 4204.1196 - mse: 46477328.0000 - val_loss: 4385.2617 - val_mae: 4385.2617 - val_mse: 52901924.0000\n",
            "Epoch 14515/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4203.6157 - mae: 4203.6157 - mse: 46471212.0000 - val_loss: 4384.8521 - val_mae: 4384.8521 - val_mse: 52895352.0000\n",
            "Epoch 14516/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4203.1035 - mae: 4203.1035 - mse: 46464472.0000 - val_loss: 4384.4492 - val_mae: 4384.4492 - val_mse: 52888864.0000\n",
            "Epoch 14517/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4202.6016 - mae: 4202.6016 - mse: 46458032.0000 - val_loss: 4384.0713 - val_mae: 4384.0713 - val_mse: 52882796.0000\n",
            "Epoch 14518/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4202.1392 - mae: 4202.1392 - mse: 46452360.0000 - val_loss: 4383.6841 - val_mae: 4383.6841 - val_mse: 52876580.0000\n",
            "Epoch 14519/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4201.6440 - mae: 4201.6440 - mse: 46445844.0000 - val_loss: 4383.3081 - val_mae: 4383.3081 - val_mse: 52870536.0000\n",
            "Epoch 14520/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4201.1558 - mae: 4201.1558 - mse: 46439452.0000 - val_loss: 4382.9106 - val_mae: 4382.9106 - val_mse: 52864164.0000\n",
            "Epoch 14521/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4200.6719 - mae: 4200.6719 - mse: 46433400.0000 - val_loss: 4382.5166 - val_mae: 4382.5166 - val_mse: 52857832.0000\n",
            "Epoch 14522/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4200.1729 - mae: 4200.1729 - mse: 46427380.0000 - val_loss: 4382.1191 - val_mae: 4382.1191 - val_mse: 52851448.0000\n",
            "Epoch 14523/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4199.6685 - mae: 4199.6685 - mse: 46420868.0000 - val_loss: 4381.7163 - val_mae: 4381.7163 - val_mse: 52844976.0000\n",
            "Epoch 14524/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4199.1680 - mae: 4199.1680 - mse: 46414360.0000 - val_loss: 4381.3271 - val_mae: 4381.3271 - val_mse: 52838736.0000\n",
            "Epoch 14525/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4198.6875 - mae: 4198.6875 - mse: 46408428.0000 - val_loss: 4380.9458 - val_mae: 4380.9458 - val_mse: 52832620.0000\n",
            "Epoch 14526/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4198.2217 - mae: 4198.2217 - mse: 46402984.0000 - val_loss: 4380.5747 - val_mae: 4380.5747 - val_mse: 52826668.0000\n",
            "Epoch 14527/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4197.7510 - mae: 4197.7510 - mse: 46396336.0000 - val_loss: 4380.1934 - val_mae: 4380.1934 - val_mse: 52820544.0000\n",
            "Epoch 14528/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4197.2871 - mae: 4197.2871 - mse: 46390268.0000 - val_loss: 4379.8047 - val_mae: 4379.8047 - val_mse: 52814316.0000\n",
            "Epoch 14529/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4196.8062 - mae: 4196.8062 - mse: 46384412.0000 - val_loss: 4379.4297 - val_mae: 4379.4297 - val_mse: 52808304.0000\n",
            "Epoch 14530/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4196.3408 - mae: 4196.3408 - mse: 46378328.0000 - val_loss: 4379.0615 - val_mae: 4379.0615 - val_mse: 52802396.0000\n",
            "Epoch 14531/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4195.8931 - mae: 4195.8931 - mse: 46372464.0000 - val_loss: 4378.6792 - val_mae: 4378.6792 - val_mse: 52796268.0000\n",
            "Epoch 14532/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4195.4126 - mae: 4195.4126 - mse: 46365848.0000 - val_loss: 4378.2935 - val_mae: 4378.2935 - val_mse: 52790084.0000\n",
            "Epoch 14533/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4194.9326 - mae: 4194.9326 - mse: 46359856.0000 - val_loss: 4377.8970 - val_mae: 4377.8970 - val_mse: 52783736.0000\n",
            "Epoch 14534/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4194.4556 - mae: 4194.4556 - mse: 46353772.0000 - val_loss: 4377.5010 - val_mae: 4377.5010 - val_mse: 52777384.0000\n",
            "Epoch 14535/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4193.9678 - mae: 4193.9678 - mse: 46347584.0000 - val_loss: 4377.1025 - val_mae: 4377.1025 - val_mse: 52771004.0000\n",
            "Epoch 14536/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4193.4795 - mae: 4193.4795 - mse: 46340864.0000 - val_loss: 4376.7070 - val_mae: 4376.7070 - val_mse: 52764660.0000\n",
            "Epoch 14537/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4192.9878 - mae: 4192.9878 - mse: 46334660.0000 - val_loss: 4376.3013 - val_mae: 4376.3013 - val_mse: 52758152.0000\n",
            "Epoch 14538/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4192.5000 - mae: 4192.5000 - mse: 46328580.0000 - val_loss: 4375.8984 - val_mae: 4375.8984 - val_mse: 52751708.0000\n",
            "Epoch 14539/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4192.0049 - mae: 4192.0049 - mse: 46322316.0000 - val_loss: 4375.5068 - val_mae: 4375.5068 - val_mse: 52745440.0000\n",
            "Epoch 14540/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4191.5308 - mae: 4191.5308 - mse: 46316072.0000 - val_loss: 4375.1167 - val_mae: 4375.1167 - val_mse: 52739196.0000\n",
            "Epoch 14541/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4191.0444 - mae: 4191.0444 - mse: 46310020.0000 - val_loss: 4374.7227 - val_mae: 4374.7227 - val_mse: 52732880.0000\n",
            "Epoch 14542/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4190.5493 - mae: 4190.5493 - mse: 46303296.0000 - val_loss: 4374.3306 - val_mae: 4374.3306 - val_mse: 52726616.0000\n",
            "Epoch 14543/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4190.0723 - mae: 4190.0723 - mse: 46297028.0000 - val_loss: 4373.9292 - val_mae: 4373.9292 - val_mse: 52720184.0000\n",
            "Epoch 14544/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4189.5854 - mae: 4189.5854 - mse: 46290684.0000 - val_loss: 4373.5312 - val_mae: 4373.5312 - val_mse: 52713808.0000\n",
            "Epoch 14545/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4189.0894 - mae: 4189.0894 - mse: 46284504.0000 - val_loss: 4373.1221 - val_mae: 4373.1221 - val_mse: 52707264.0000\n",
            "Epoch 14546/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4188.5894 - mae: 4188.5894 - mse: 46278096.0000 - val_loss: 4372.7129 - val_mae: 4372.7129 - val_mse: 52700720.0000\n",
            "Epoch 14547/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4188.0732 - mae: 4188.0732 - mse: 46271344.0000 - val_loss: 4372.3066 - val_mae: 4372.3066 - val_mse: 52694216.0000\n",
            "Epoch 14548/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4187.5898 - mae: 4187.5898 - mse: 46265152.0000 - val_loss: 4371.9033 - val_mae: 4371.9033 - val_mse: 52687772.0000\n",
            "Epoch 14549/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4187.1050 - mae: 4187.1050 - mse: 46259128.0000 - val_loss: 4371.5000 - val_mae: 4371.5000 - val_mse: 52681328.0000\n",
            "Epoch 14550/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4186.6133 - mae: 4186.6133 - mse: 46252324.0000 - val_loss: 4371.1001 - val_mae: 4371.1001 - val_mse: 52674936.0000\n",
            "Epoch 14551/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4186.0981 - mae: 4186.0981 - mse: 46245912.0000 - val_loss: 4370.7129 - val_mae: 4370.7124 - val_mse: 52668736.0000\n",
            "Epoch 14552/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4185.6211 - mae: 4185.6211 - mse: 46240000.0000 - val_loss: 4370.3110 - val_mae: 4370.3110 - val_mse: 52662320.0000\n",
            "Epoch 14553/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4185.1416 - mae: 4185.1416 - mse: 46233860.0000 - val_loss: 4369.9067 - val_mae: 4369.9067 - val_mse: 52655860.0000\n",
            "Epoch 14554/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4184.6343 - mae: 4184.6343 - mse: 46226892.0000 - val_loss: 4369.5068 - val_mae: 4369.5068 - val_mse: 52649472.0000\n",
            "Epoch 14555/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4184.1548 - mae: 4184.1548 - mse: 46220724.0000 - val_loss: 4369.0981 - val_mae: 4369.0981 - val_mse: 52642936.0000\n",
            "Epoch 14556/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4183.6411 - mae: 4183.6411 - mse: 46214152.0000 - val_loss: 4368.6934 - val_mae: 4368.6934 - val_mse: 52636484.0000\n",
            "Epoch 14557/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4183.1465 - mae: 4183.1465 - mse: 46207644.0000 - val_loss: 4368.2944 - val_mae: 4368.2944 - val_mse: 52630092.0000\n",
            "Epoch 14558/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4182.6807 - mae: 4182.6807 - mse: 46201904.0000 - val_loss: 4367.9009 - val_mae: 4367.9009 - val_mse: 52623808.0000\n",
            "Epoch 14559/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4182.1787 - mae: 4182.1787 - mse: 46195336.0000 - val_loss: 4367.5039 - val_mae: 4367.5039 - val_mse: 52617480.0000\n",
            "Epoch 14560/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4181.6919 - mae: 4181.6919 - mse: 46189048.0000 - val_loss: 4367.1030 - val_mae: 4367.1030 - val_mse: 52611080.0000\n",
            "Epoch 14561/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4181.2061 - mae: 4181.2061 - mse: 46182688.0000 - val_loss: 4366.7007 - val_mae: 4366.7007 - val_mse: 52604652.0000\n",
            "Epoch 14562/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4180.7002 - mae: 4180.7002 - mse: 46176500.0000 - val_loss: 4366.3013 - val_mae: 4366.3013 - val_mse: 52598272.0000\n",
            "Epoch 14563/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4180.2197 - mae: 4180.2197 - mse: 46169984.0000 - val_loss: 4365.8950 - val_mae: 4365.8950 - val_mse: 52591792.0000\n",
            "Epoch 14564/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4179.7056 - mae: 4179.7056 - mse: 46163248.0000 - val_loss: 4365.4971 - val_mae: 4365.4971 - val_mse: 52585452.0000\n",
            "Epoch 14565/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4179.2212 - mae: 4179.2212 - mse: 46156992.0000 - val_loss: 4365.0815 - val_mae: 4365.0815 - val_mse: 52578816.0000\n",
            "Epoch 14566/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4178.7114 - mae: 4178.7114 - mse: 46150636.0000 - val_loss: 4364.6641 - val_mae: 4364.6641 - val_mse: 52572160.0000\n",
            "Epoch 14567/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4178.2007 - mae: 4178.2007 - mse: 46144068.0000 - val_loss: 4364.2500 - val_mae: 4364.2500 - val_mse: 52565552.0000\n",
            "Epoch 14568/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4177.6797 - mae: 4177.6797 - mse: 46137604.0000 - val_loss: 4363.8340 - val_mae: 4363.8340 - val_mse: 52558928.0000\n",
            "Epoch 14569/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4177.1816 - mae: 4177.1816 - mse: 46131008.0000 - val_loss: 4363.4136 - val_mae: 4363.4136 - val_mse: 52552216.0000\n",
            "Epoch 14570/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4176.6655 - mae: 4176.6655 - mse: 46124248.0000 - val_loss: 4363.0000 - val_mae: 4363.0000 - val_mse: 52545628.0000\n",
            "Epoch 14571/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4176.1611 - mae: 4176.1611 - mse: 46117908.0000 - val_loss: 4362.5811 - val_mae: 4362.5811 - val_mse: 52538948.0000\n",
            "Epoch 14572/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4175.6528 - mae: 4175.6528 - mse: 46111184.0000 - val_loss: 4362.1694 - val_mae: 4362.1694 - val_mse: 52532380.0000\n",
            "Epoch 14573/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4175.1406 - mae: 4175.1406 - mse: 46104528.0000 - val_loss: 4361.7842 - val_mae: 4361.7842 - val_mse: 52526256.0000\n",
            "Epoch 14574/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4174.6763 - mae: 4174.6763 - mse: 46098452.0000 - val_loss: 4361.3901 - val_mae: 4361.3901 - val_mse: 52519972.0000\n",
            "Epoch 14575/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4174.2007 - mae: 4174.2007 - mse: 46092636.0000 - val_loss: 4360.9971 - val_mae: 4360.9971 - val_mse: 52513716.0000\n",
            "Epoch 14576/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4173.7070 - mae: 4173.7070 - mse: 46086224.0000 - val_loss: 4360.6055 - val_mae: 4360.6055 - val_mse: 52507472.0000\n",
            "Epoch 14577/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4173.2227 - mae: 4173.2227 - mse: 46079828.0000 - val_loss: 4360.2119 - val_mae: 4360.2119 - val_mse: 52501204.0000\n",
            "Epoch 14578/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4172.7505 - mae: 4172.7505 - mse: 46074168.0000 - val_loss: 4359.8281 - val_mae: 4359.8281 - val_mse: 52495096.0000\n",
            "Epoch 14579/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4172.2690 - mae: 4172.2690 - mse: 46067748.0000 - val_loss: 4359.4395 - val_mae: 4359.4395 - val_mse: 52488912.0000\n",
            "Epoch 14580/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4171.7974 - mae: 4171.7974 - mse: 46061592.0000 - val_loss: 4359.0596 - val_mae: 4359.0596 - val_mse: 52482860.0000\n",
            "Epoch 14581/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4171.3242 - mae: 4171.3242 - mse: 46055664.0000 - val_loss: 4358.6641 - val_mae: 4358.6641 - val_mse: 52476560.0000\n",
            "Epoch 14582/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4170.8311 - mae: 4170.8311 - mse: 46049248.0000 - val_loss: 4358.2720 - val_mae: 4358.2720 - val_mse: 52470336.0000\n",
            "Epoch 14583/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4170.3486 - mae: 4170.3486 - mse: 46042860.0000 - val_loss: 4357.8750 - val_mae: 4357.8750 - val_mse: 52464008.0000\n",
            "Epoch 14584/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4169.8506 - mae: 4169.8506 - mse: 46036500.0000 - val_loss: 4357.4609 - val_mae: 4357.4609 - val_mse: 52457424.0000\n",
            "Epoch 14585/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4169.3682 - mae: 4169.3682 - mse: 46030448.0000 - val_loss: 4357.0459 - val_mae: 4357.0459 - val_mse: 52450816.0000\n",
            "Epoch 14586/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4168.8662 - mae: 4168.8662 - mse: 46024496.0000 - val_loss: 4356.6685 - val_mae: 4356.6685 - val_mse: 52444820.0000\n",
            "Epoch 14587/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4168.3950 - mae: 4168.3950 - mse: 46017876.0000 - val_loss: 4356.2964 - val_mae: 4356.2964 - val_mse: 52438904.0000\n",
            "Epoch 14588/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4167.9438 - mae: 4167.9438 - mse: 46012256.0000 - val_loss: 4355.9146 - val_mae: 4355.9146 - val_mse: 52432832.0000\n",
            "Epoch 14589/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4167.4746 - mae: 4167.4746 - mse: 46005996.0000 - val_loss: 4355.5439 - val_mae: 4355.5439 - val_mse: 52426940.0000\n",
            "Epoch 14590/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4167.0122 - mae: 4167.0122 - mse: 46000012.0000 - val_loss: 4355.1538 - val_mae: 4355.1538 - val_mse: 52420740.0000\n",
            "Epoch 14591/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4166.5239 - mae: 4166.5239 - mse: 45993824.0000 - val_loss: 4354.7549 - val_mae: 4354.7549 - val_mse: 52414400.0000\n",
            "Epoch 14592/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4166.0410 - mae: 4166.0410 - mse: 45987932.0000 - val_loss: 4354.3569 - val_mae: 4354.3569 - val_mse: 52408072.0000\n",
            "Epoch 14593/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4165.5532 - mae: 4165.5532 - mse: 45981472.0000 - val_loss: 4353.9585 - val_mae: 4353.9585 - val_mse: 52401744.0000\n",
            "Epoch 14594/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4165.0537 - mae: 4165.0537 - mse: 45975248.0000 - val_loss: 4353.5762 - val_mae: 4353.5762 - val_mse: 52395668.0000\n",
            "Epoch 14595/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4164.5928 - mae: 4164.5928 - mse: 45969156.0000 - val_loss: 4353.1787 - val_mae: 4353.1787 - val_mse: 52389356.0000\n",
            "Epoch 14596/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4164.1035 - mae: 4164.1035 - mse: 45962688.0000 - val_loss: 4352.7896 - val_mae: 4352.7896 - val_mse: 52383184.0000\n",
            "Epoch 14597/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4163.6240 - mae: 4163.6240 - mse: 45956596.0000 - val_loss: 4352.3877 - val_mae: 4352.3877 - val_mse: 52376796.0000\n",
            "Epoch 14598/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4163.1221 - mae: 4163.1221 - mse: 45950216.0000 - val_loss: 4351.9780 - val_mae: 4351.9780 - val_mse: 52370296.0000\n",
            "Epoch 14599/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4162.6172 - mae: 4162.6172 - mse: 45943820.0000 - val_loss: 4351.5664 - val_mae: 4351.5664 - val_mse: 52363748.0000\n",
            "Epoch 14600/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4162.1108 - mae: 4162.1108 - mse: 45937400.0000 - val_loss: 4351.1626 - val_mae: 4351.1626 - val_mse: 52357344.0000\n",
            "Epoch 14601/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4161.6338 - mae: 4161.6338 - mse: 45931228.0000 - val_loss: 4350.7681 - val_mae: 4350.7681 - val_mse: 52351096.0000\n",
            "Epoch 14602/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4161.1484 - mae: 4161.1484 - mse: 45924944.0000 - val_loss: 4350.3862 - val_mae: 4350.3862 - val_mse: 52345028.0000\n",
            "Epoch 14603/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4160.6865 - mae: 4160.6865 - mse: 45919364.0000 - val_loss: 4349.9917 - val_mae: 4349.9917 - val_mse: 52338768.0000\n",
            "Epoch 14604/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4160.1885 - mae: 4160.1885 - mse: 45912560.0000 - val_loss: 4349.6118 - val_mae: 4349.6118 - val_mse: 52332736.0000\n",
            "Epoch 14605/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4159.7334 - mae: 4159.7334 - mse: 45907024.0000 - val_loss: 4349.2178 - val_mae: 4349.2178 - val_mse: 52326492.0000\n",
            "Epoch 14606/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4159.2422 - mae: 4159.2422 - mse: 45900696.0000 - val_loss: 4348.8359 - val_mae: 4348.8359 - val_mse: 52320444.0000\n",
            "Epoch 14607/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4158.7686 - mae: 4158.7686 - mse: 45894300.0000 - val_loss: 4348.4438 - val_mae: 4348.4438 - val_mse: 52314224.0000\n",
            "Epoch 14608/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4158.2852 - mae: 4158.2852 - mse: 45888044.0000 - val_loss: 4348.0483 - val_mae: 4348.0483 - val_mse: 52307956.0000\n",
            "Epoch 14609/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4157.8115 - mae: 4157.8115 - mse: 45882364.0000 - val_loss: 4347.6577 - val_mae: 4347.6577 - val_mse: 52301760.0000\n",
            "Epoch 14610/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4157.3301 - mae: 4157.3301 - mse: 45876320.0000 - val_loss: 4347.2607 - val_mae: 4347.2607 - val_mse: 52295460.0000\n",
            "Epoch 14611/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4156.8335 - mae: 4156.8335 - mse: 45869904.0000 - val_loss: 4346.8652 - val_mae: 4346.8652 - val_mse: 52289208.0000\n",
            "Epoch 14612/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4156.3506 - mae: 4156.3506 - mse: 45863368.0000 - val_loss: 4346.4634 - val_mae: 4346.4634 - val_mse: 52282844.0000\n",
            "Epoch 14613/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4155.8633 - mae: 4155.8633 - mse: 45857512.0000 - val_loss: 4346.0713 - val_mae: 4346.0713 - val_mse: 52276616.0000\n",
            "Epoch 14614/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4155.3872 - mae: 4155.3872 - mse: 45851256.0000 - val_loss: 4345.7007 - val_mae: 4345.7007 - val_mse: 52270756.0000\n",
            "Epoch 14615/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4154.9375 - mae: 4154.9375 - mse: 45845616.0000 - val_loss: 4345.3184 - val_mae: 4345.3184 - val_mse: 52264692.0000\n",
            "Epoch 14616/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4154.4653 - mae: 4154.4653 - mse: 45839440.0000 - val_loss: 4344.9302 - val_mae: 4344.9302 - val_mse: 52258548.0000\n",
            "Epoch 14617/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4153.9746 - mae: 4153.9746 - mse: 45833012.0000 - val_loss: 4344.5479 - val_mae: 4344.5479 - val_mse: 52252508.0000\n",
            "Epoch 14618/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4153.5039 - mae: 4153.5039 - mse: 45827200.0000 - val_loss: 4344.1548 - val_mae: 4344.1548 - val_mse: 52246272.0000\n",
            "Epoch 14619/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4153.0332 - mae: 4153.0332 - mse: 45820864.0000 - val_loss: 4343.7744 - val_mae: 4343.7744 - val_mse: 52240248.0000\n",
            "Epoch 14620/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4152.5732 - mae: 4152.5732 - mse: 45815160.0000 - val_loss: 4343.3809 - val_mae: 4343.3809 - val_mse: 52234020.0000\n",
            "Epoch 14621/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4152.0806 - mae: 4152.0806 - mse: 45809008.0000 - val_loss: 4343.0015 - val_mae: 4343.0015 - val_mse: 52228020.0000\n",
            "Epoch 14622/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4151.6191 - mae: 4151.6191 - mse: 45803124.0000 - val_loss: 4342.6045 - val_mae: 4342.6045 - val_mse: 52221744.0000\n",
            "Epoch 14623/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4151.1128 - mae: 4151.1128 - mse: 45796476.0000 - val_loss: 4342.2046 - val_mae: 4342.2046 - val_mse: 52215416.0000\n",
            "Epoch 14624/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4150.6182 - mae: 4150.6182 - mse: 45790340.0000 - val_loss: 4341.7856 - val_mae: 4341.7856 - val_mse: 52208788.0000\n",
            "Epoch 14625/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4150.1104 - mae: 4150.1104 - mse: 45784140.0000 - val_loss: 4341.3721 - val_mae: 4341.3721 - val_mse: 52202244.0000\n",
            "Epoch 14626/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4149.6035 - mae: 4149.6035 - mse: 45777196.0000 - val_loss: 4340.9609 - val_mae: 4340.9609 - val_mse: 52195748.0000\n",
            "Epoch 14627/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4149.0947 - mae: 4149.0947 - mse: 45770748.0000 - val_loss: 4340.5664 - val_mae: 4340.5664 - val_mse: 52189504.0000\n",
            "Epoch 14628/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4148.6187 - mae: 4148.6187 - mse: 45764956.0000 - val_loss: 4340.1709 - val_mae: 4340.1709 - val_mse: 52183252.0000\n",
            "Epoch 14629/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4148.1387 - mae: 4148.1387 - mse: 45758288.0000 - val_loss: 4339.7812 - val_mae: 4339.7812 - val_mse: 52177104.0000\n",
            "Epoch 14630/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4147.6660 - mae: 4147.6660 - mse: 45752688.0000 - val_loss: 4339.3799 - val_mae: 4339.3799 - val_mse: 52170752.0000\n",
            "Epoch 14631/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4147.1646 - mae: 4147.1646 - mse: 45746084.0000 - val_loss: 4338.9824 - val_mae: 4338.9824 - val_mse: 52164476.0000\n",
            "Epoch 14632/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4146.6719 - mae: 4146.6719 - mse: 45739724.0000 - val_loss: 4338.5820 - val_mae: 4338.5820 - val_mse: 52158144.0000\n",
            "Epoch 14633/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4146.1807 - mae: 4146.1807 - mse: 45733664.0000 - val_loss: 4338.1753 - val_mae: 4338.1753 - val_mse: 52151728.0000\n",
            "Epoch 14634/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4145.6758 - mae: 4145.6758 - mse: 45726920.0000 - val_loss: 4337.7773 - val_mae: 4337.7773 - val_mse: 52145444.0000\n",
            "Epoch 14635/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4145.1870 - mae: 4145.1870 - mse: 45720980.0000 - val_loss: 4337.3760 - val_mae: 4337.3760 - val_mse: 52139100.0000\n",
            "Epoch 14636/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4144.7085 - mae: 4144.7085 - mse: 45714612.0000 - val_loss: 4336.9873 - val_mae: 4336.9873 - val_mse: 52132972.0000\n",
            "Epoch 14637/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4144.2251 - mae: 4144.2251 - mse: 45708916.0000 - val_loss: 4336.6030 - val_mae: 4336.6030 - val_mse: 52126896.0000\n",
            "Epoch 14638/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4143.7529 - mae: 4143.7529 - mse: 45702448.0000 - val_loss: 4336.2065 - val_mae: 4336.2065 - val_mse: 52120640.0000\n",
            "Epoch 14639/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4143.2632 - mae: 4143.2632 - mse: 45696264.0000 - val_loss: 4335.8135 - val_mae: 4335.8135 - val_mse: 52114440.0000\n",
            "Epoch 14640/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4142.7720 - mae: 4142.7720 - mse: 45690020.0000 - val_loss: 4335.4072 - val_mae: 4335.4072 - val_mse: 52108032.0000\n",
            "Epoch 14641/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4142.2935 - mae: 4142.2935 - mse: 45684032.0000 - val_loss: 4335.0103 - val_mae: 4335.0103 - val_mse: 52101764.0000\n",
            "Epoch 14642/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4141.7891 - mae: 4141.7891 - mse: 45677264.0000 - val_loss: 4334.6226 - val_mae: 4334.6226 - val_mse: 52095636.0000\n",
            "Epoch 14643/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4141.3125 - mae: 4141.3125 - mse: 45671512.0000 - val_loss: 4334.2412 - val_mae: 4334.2412 - val_mse: 52089632.0000\n",
            "Epoch 14644/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4140.8477 - mae: 4140.8477 - mse: 45665700.0000 - val_loss: 4333.8428 - val_mae: 4333.8428 - val_mse: 52083348.0000\n",
            "Epoch 14645/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4140.3550 - mae: 4140.3550 - mse: 45659284.0000 - val_loss: 4333.4385 - val_mae: 4333.4385 - val_mse: 52076976.0000\n",
            "Epoch 14646/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4139.8638 - mae: 4139.8638 - mse: 45653180.0000 - val_loss: 4333.0444 - val_mae: 4333.0444 - val_mse: 52070756.0000\n",
            "Epoch 14647/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4139.3809 - mae: 4139.3809 - mse: 45647020.0000 - val_loss: 4332.6445 - val_mae: 4332.6445 - val_mse: 52064452.0000\n",
            "Epoch 14648/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4138.8989 - mae: 4138.8989 - mse: 45640588.0000 - val_loss: 4332.2686 - val_mae: 4332.2686 - val_mse: 52058536.0000\n",
            "Epoch 14649/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4138.4355 - mae: 4138.4355 - mse: 45634768.0000 - val_loss: 4331.8950 - val_mae: 4331.8950 - val_mse: 52052644.0000\n",
            "Epoch 14650/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4137.9697 - mae: 4137.9697 - mse: 45629060.0000 - val_loss: 4331.4956 - val_mae: 4331.4956 - val_mse: 52046356.0000\n",
            "Epoch 14651/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4137.4746 - mae: 4137.4746 - mse: 45622080.0000 - val_loss: 4331.0898 - val_mae: 4331.0898 - val_mse: 52039964.0000\n",
            "Epoch 14652/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4136.9795 - mae: 4136.9795 - mse: 45616384.0000 - val_loss: 4330.6743 - val_mae: 4330.6743 - val_mse: 52033420.0000\n",
            "Epoch 14653/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4136.4785 - mae: 4136.4785 - mse: 45609864.0000 - val_loss: 4330.2798 - val_mae: 4330.2798 - val_mse: 52027200.0000\n",
            "Epoch 14654/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4135.9941 - mae: 4135.9941 - mse: 45603604.0000 - val_loss: 4329.8848 - val_mae: 4329.8848 - val_mse: 52020972.0000\n",
            "Epoch 14655/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4135.5181 - mae: 4135.5181 - mse: 45597748.0000 - val_loss: 4329.5093 - val_mae: 4329.5093 - val_mse: 52015068.0000\n",
            "Epoch 14656/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4135.0425 - mae: 4135.0425 - mse: 45591468.0000 - val_loss: 4329.1177 - val_mae: 4329.1177 - val_mse: 52008904.0000\n",
            "Epoch 14657/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4134.5566 - mae: 4134.5566 - mse: 45585504.0000 - val_loss: 4328.7231 - val_mae: 4328.7231 - val_mse: 52002696.0000\n",
            "Epoch 14658/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4134.0669 - mae: 4134.0669 - mse: 45579212.0000 - val_loss: 4328.3252 - val_mae: 4328.3252 - val_mse: 51996428.0000\n",
            "Epoch 14659/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4133.5811 - mae: 4133.5811 - mse: 45573160.0000 - val_loss: 4327.9131 - val_mae: 4327.9131 - val_mse: 51989944.0000\n",
            "Epoch 14660/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4133.0771 - mae: 4133.0771 - mse: 45566432.0000 - val_loss: 4327.5176 - val_mae: 4327.5176 - val_mse: 51983728.0000\n",
            "Epoch 14661/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4132.5908 - mae: 4132.5908 - mse: 45560380.0000 - val_loss: 4327.1143 - val_mae: 4327.1143 - val_mse: 51977380.0000\n",
            "Epoch 14662/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4132.1030 - mae: 4132.1030 - mse: 45554552.0000 - val_loss: 4326.7148 - val_mae: 4326.7148 - val_mse: 51971096.0000\n",
            "Epoch 14663/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4131.5947 - mae: 4131.5947 - mse: 45547684.0000 - val_loss: 4326.3149 - val_mae: 4326.3149 - val_mse: 51964812.0000\n",
            "Epoch 14664/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4131.1021 - mae: 4131.1021 - mse: 45541312.0000 - val_loss: 4325.9009 - val_mae: 4325.9009 - val_mse: 51958304.0000\n",
            "Epoch 14665/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4130.5894 - mae: 4130.5894 - mse: 45535056.0000 - val_loss: 4325.4883 - val_mae: 4325.4883 - val_mse: 51951808.0000\n",
            "Epoch 14666/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4130.0933 - mae: 4130.0933 - mse: 45528812.0000 - val_loss: 4325.1064 - val_mae: 4325.1064 - val_mse: 51945316.0000\n",
            "Epoch 14667/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4129.5757 - mae: 4129.5757 - mse: 45521772.0000 - val_loss: 4324.7285 - val_mae: 4324.7285 - val_mse: 51938648.0000\n",
            "Epoch 14668/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4129.0728 - mae: 4129.0728 - mse: 45515548.0000 - val_loss: 4324.3447 - val_mae: 4324.3447 - val_mse: 51931888.0000\n",
            "Epoch 14669/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4128.5410 - mae: 4128.5410 - mse: 45508380.0000 - val_loss: 4323.9565 - val_mae: 4323.9565 - val_mse: 51925048.0000\n",
            "Epoch 14670/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4128.0366 - mae: 4128.0366 - mse: 45502136.0000 - val_loss: 4323.5591 - val_mae: 4323.5591 - val_mse: 51918032.0000\n",
            "Epoch 14671/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4127.5059 - mae: 4127.5059 - mse: 45494864.0000 - val_loss: 4323.1782 - val_mae: 4323.1782 - val_mse: 51911332.0000\n",
            "Epoch 14672/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4127.0044 - mae: 4127.0044 - mse: 45488604.0000 - val_loss: 4322.8022 - val_mae: 4322.8022 - val_mse: 51904704.0000\n",
            "Epoch 14673/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4126.4829 - mae: 4126.4829 - mse: 45482020.0000 - val_loss: 4322.4385 - val_mae: 4322.4385 - val_mse: 51898296.0000\n",
            "Epoch 14674/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4126.0059 - mae: 4126.0059 - mse: 45475700.0000 - val_loss: 4322.0771 - val_mae: 4322.0771 - val_mse: 51891940.0000\n",
            "Epoch 14675/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4125.5127 - mae: 4125.5127 - mse: 45469204.0000 - val_loss: 4321.7212 - val_mae: 4321.7212 - val_mse: 51885668.0000\n",
            "Epoch 14676/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4125.0371 - mae: 4125.0371 - mse: 45463060.0000 - val_loss: 4321.3628 - val_mae: 4321.3628 - val_mse: 51879352.0000\n",
            "Epoch 14677/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4124.5767 - mae: 4124.5767 - mse: 45457268.0000 - val_loss: 4321.0068 - val_mae: 4321.0068 - val_mse: 51873096.0000\n",
            "Epoch 14678/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4124.0781 - mae: 4124.0781 - mse: 45450388.0000 - val_loss: 4320.6543 - val_mae: 4320.6543 - val_mse: 51866888.0000\n",
            "Epoch 14679/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4123.6064 - mae: 4123.6064 - mse: 45444560.0000 - val_loss: 4320.2915 - val_mae: 4320.2915 - val_mse: 51860512.0000\n",
            "Epoch 14680/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4123.1123 - mae: 4123.1123 - mse: 45438072.0000 - val_loss: 4319.9365 - val_mae: 4319.9365 - val_mse: 51854256.0000\n",
            "Epoch 14681/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4122.6440 - mae: 4122.6440 - mse: 45432264.0000 - val_loss: 4319.5762 - val_mae: 4319.5762 - val_mse: 51847912.0000\n",
            "Epoch 14682/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4122.1538 - mae: 4122.1538 - mse: 45425516.0000 - val_loss: 4319.2075 - val_mae: 4319.2075 - val_mse: 51841444.0000\n",
            "Epoch 14683/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4121.6489 - mae: 4121.6489 - mse: 45418980.0000 - val_loss: 4318.8413 - val_mae: 4318.8413 - val_mse: 51835000.0000\n",
            "Epoch 14684/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4121.1704 - mae: 4121.1704 - mse: 45413048.0000 - val_loss: 4318.4917 - val_mae: 4318.4917 - val_mse: 51828840.0000\n",
            "Epoch 14685/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4120.7041 - mae: 4120.7041 - mse: 45406628.0000 - val_loss: 4318.1362 - val_mae: 4318.1362 - val_mse: 51822600.0000\n",
            "Epoch 14686/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4120.2275 - mae: 4120.2275 - mse: 45400072.0000 - val_loss: 4317.7798 - val_mae: 4317.7798 - val_mse: 51816324.0000\n",
            "Epoch 14687/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4119.7529 - mae: 4119.7529 - mse: 45394240.0000 - val_loss: 4317.4365 - val_mae: 4317.4365 - val_mse: 51810312.0000\n",
            "Epoch 14688/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4119.2866 - mae: 4119.2866 - mse: 45388324.0000 - val_loss: 4317.0874 - val_mae: 4317.0874 - val_mse: 51804168.0000\n",
            "Epoch 14689/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4118.8384 - mae: 4118.8384 - mse: 45382468.0000 - val_loss: 4316.7461 - val_mae: 4316.7461 - val_mse: 51798164.0000\n",
            "Epoch 14690/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4118.3892 - mae: 4118.3892 - mse: 45376448.0000 - val_loss: 4316.4185 - val_mae: 4316.4185 - val_mse: 51792408.0000\n",
            "Epoch 14691/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4117.9463 - mae: 4117.9463 - mse: 45370748.0000 - val_loss: 4316.0811 - val_mae: 4316.0811 - val_mse: 51786484.0000\n",
            "Epoch 14692/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4117.4951 - mae: 4117.4951 - mse: 45364828.0000 - val_loss: 4315.7505 - val_mae: 4315.7505 - val_mse: 51780684.0000\n",
            "Epoch 14693/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4117.0435 - mae: 4117.0435 - mse: 45358764.0000 - val_loss: 4315.4155 - val_mae: 4315.4155 - val_mse: 51774788.0000\n",
            "Epoch 14694/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4116.5972 - mae: 4116.5972 - mse: 45352924.0000 - val_loss: 4315.0645 - val_mae: 4315.0645 - val_mse: 51768624.0000\n",
            "Epoch 14695/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4116.1328 - mae: 4116.1328 - mse: 45346768.0000 - val_loss: 4314.7056 - val_mae: 4314.7056 - val_mse: 51762336.0000\n",
            "Epoch 14696/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4115.6475 - mae: 4115.6475 - mse: 45340496.0000 - val_loss: 4314.3682 - val_mae: 4314.3682 - val_mse: 51756408.0000\n",
            "Epoch 14697/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4115.1987 - mae: 4115.1987 - mse: 45334648.0000 - val_loss: 4314.0137 - val_mae: 4314.0137 - val_mse: 51750180.0000\n",
            "Epoch 14698/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4114.7378 - mae: 4114.7378 - mse: 45328412.0000 - val_loss: 4313.6558 - val_mae: 4313.6558 - val_mse: 51743908.0000\n",
            "Epoch 14699/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4114.2529 - mae: 4114.2529 - mse: 45322132.0000 - val_loss: 4313.3101 - val_mae: 4313.3101 - val_mse: 51737832.0000\n",
            "Epoch 14700/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4113.7979 - mae: 4113.7979 - mse: 45316268.0000 - val_loss: 4312.9575 - val_mae: 4312.9575 - val_mse: 51731656.0000\n",
            "Epoch 14701/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4113.3340 - mae: 4113.3340 - mse: 45310480.0000 - val_loss: 4312.6143 - val_mae: 4312.6143 - val_mse: 51725632.0000\n",
            "Epoch 14702/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4112.8682 - mae: 4112.8682 - mse: 45304440.0000 - val_loss: 4312.2705 - val_mae: 4312.2705 - val_mse: 51719596.0000\n",
            "Epoch 14703/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4112.4019 - mae: 4112.4019 - mse: 45298516.0000 - val_loss: 4311.9272 - val_mae: 4311.9272 - val_mse: 51713592.0000\n",
            "Epoch 14704/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4111.9370 - mae: 4111.9370 - mse: 45292068.0000 - val_loss: 4311.5938 - val_mae: 4311.5938 - val_mse: 51707740.0000\n",
            "Epoch 14705/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4111.5039 - mae: 4111.5039 - mse: 45286464.0000 - val_loss: 4311.2485 - val_mae: 4311.2485 - val_mse: 51701680.0000\n",
            "Epoch 14706/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4111.0586 - mae: 4111.0586 - mse: 45280524.0000 - val_loss: 4310.9077 - val_mae: 4310.9077 - val_mse: 51695712.0000\n",
            "Epoch 14707/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4110.5928 - mae: 4110.5928 - mse: 45274476.0000 - val_loss: 4310.5708 - val_mae: 4310.5708 - val_mse: 51689816.0000\n",
            "Epoch 14708/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4110.1440 - mae: 4110.1440 - mse: 45268388.0000 - val_loss: 4310.2319 - val_mae: 4310.2319 - val_mse: 51683876.0000\n",
            "Epoch 14709/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4109.6914 - mae: 4109.6914 - mse: 45262828.0000 - val_loss: 4309.8906 - val_mae: 4309.8906 - val_mse: 51677892.0000\n",
            "Epoch 14710/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4109.2319 - mae: 4109.2319 - mse: 45256952.0000 - val_loss: 4309.5459 - val_mae: 4309.5459 - val_mse: 51671852.0000\n",
            "Epoch 14711/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4108.7666 - mae: 4108.7666 - mse: 45250312.0000 - val_loss: 4309.1968 - val_mae: 4309.1968 - val_mse: 51665736.0000\n",
            "Epoch 14712/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4108.3105 - mae: 4108.3105 - mse: 45244880.0000 - val_loss: 4308.8423 - val_mae: 4308.8423 - val_mse: 51659532.0000\n",
            "Epoch 14713/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4107.8394 - mae: 4107.8394 - mse: 45238800.0000 - val_loss: 4308.4922 - val_mae: 4308.4922 - val_mse: 51653408.0000\n",
            "Epoch 14714/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4107.3740 - mae: 4107.3740 - mse: 45232652.0000 - val_loss: 4308.1416 - val_mae: 4308.1416 - val_mse: 51647272.0000\n",
            "Epoch 14715/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4106.8989 - mae: 4106.8989 - mse: 45226360.0000 - val_loss: 4307.8047 - val_mae: 4307.8047 - val_mse: 51641296.0000\n",
            "Epoch 14716/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4106.4575 - mae: 4106.4575 - mse: 45220604.0000 - val_loss: 4307.4766 - val_mae: 4307.4766 - val_mse: 51635268.0000\n",
            "Epoch 14717/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4105.9883 - mae: 4105.9883 - mse: 45214324.0000 - val_loss: 4307.1504 - val_mae: 4307.1504 - val_mse: 51629276.0000\n",
            "Epoch 14718/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4105.5317 - mae: 4105.5317 - mse: 45208652.0000 - val_loss: 4306.8198 - val_mae: 4306.8198 - val_mse: 51623188.0000\n",
            "Epoch 14719/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4105.0698 - mae: 4105.0698 - mse: 45202600.0000 - val_loss: 4306.4834 - val_mae: 4306.4834 - val_mse: 51617004.0000\n",
            "Epoch 14720/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4104.6084 - mae: 4104.6084 - mse: 45196636.0000 - val_loss: 4306.1509 - val_mae: 4306.1509 - val_mse: 51610888.0000\n",
            "Epoch 14721/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4104.1440 - mae: 4104.1440 - mse: 45190020.0000 - val_loss: 4305.8306 - val_mae: 4305.8306 - val_mse: 51605008.0000\n",
            "Epoch 14722/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4103.7012 - mae: 4103.7012 - mse: 45184572.0000 - val_loss: 4305.5186 - val_mae: 4305.5186 - val_mse: 51599272.0000\n",
            "Epoch 14723/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4103.2573 - mae: 4103.2573 - mse: 45178764.0000 - val_loss: 4305.2256 - val_mae: 4305.2256 - val_mse: 51593884.0000\n",
            "Epoch 14724/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4102.8447 - mae: 4102.8447 - mse: 45173400.0000 - val_loss: 4304.9053 - val_mae: 4304.9053 - val_mse: 51588004.0000\n",
            "Epoch 14725/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4102.3950 - mae: 4102.3950 - mse: 45167708.0000 - val_loss: 4304.5757 - val_mae: 4304.5757 - val_mse: 51581944.0000\n",
            "Epoch 14726/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4101.9263 - mae: 4101.9263 - mse: 45161252.0000 - val_loss: 4304.2471 - val_mae: 4304.2471 - val_mse: 51575900.0000\n",
            "Epoch 14727/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4101.4644 - mae: 4101.4644 - mse: 45155320.0000 - val_loss: 4303.9243 - val_mae: 4303.9243 - val_mse: 51569976.0000\n",
            "Epoch 14728/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4101.0049 - mae: 4101.0049 - mse: 45149408.0000 - val_loss: 4303.5933 - val_mae: 4303.5933 - val_mse: 51563896.0000\n",
            "Epoch 14729/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4100.5513 - mae: 4100.5513 - mse: 45143404.0000 - val_loss: 4303.2622 - val_mae: 4303.2617 - val_mse: 51557820.0000\n",
            "Epoch 14730/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4100.0762 - mae: 4100.0762 - mse: 45137384.0000 - val_loss: 4302.9199 - val_mae: 4302.9199 - val_mse: 51551536.0000\n",
            "Epoch 14731/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4099.5942 - mae: 4099.5942 - mse: 45131224.0000 - val_loss: 4302.5845 - val_mae: 4302.5845 - val_mse: 51545392.0000\n",
            "Epoch 14732/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4099.1416 - mae: 4099.1416 - mse: 45125312.0000 - val_loss: 4302.2681 - val_mae: 4302.2681 - val_mse: 51539576.0000\n",
            "Epoch 14733/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4098.6963 - mae: 4098.6963 - mse: 45119312.0000 - val_loss: 4301.9517 - val_mae: 4301.9517 - val_mse: 51533776.0000\n",
            "Epoch 14734/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4098.2598 - mae: 4098.2598 - mse: 45114040.0000 - val_loss: 4301.6226 - val_mae: 4301.6226 - val_mse: 51527736.0000\n",
            "Epoch 14735/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4097.7979 - mae: 4097.7979 - mse: 45107720.0000 - val_loss: 4301.3086 - val_mae: 4301.3086 - val_mse: 51521980.0000\n",
            "Epoch 14736/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4097.3481 - mae: 4097.3481 - mse: 45101748.0000 - val_loss: 4300.9902 - val_mae: 4300.9902 - val_mse: 51516136.0000\n",
            "Epoch 14737/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4096.9097 - mae: 4096.9097 - mse: 45096248.0000 - val_loss: 4300.6660 - val_mae: 4300.6660 - val_mse: 51510192.0000\n",
            "Epoch 14738/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4096.4521 - mae: 4096.4521 - mse: 45090284.0000 - val_loss: 4300.3423 - val_mae: 4300.3423 - val_mse: 51504244.0000\n",
            "Epoch 14739/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4095.9980 - mae: 4095.9980 - mse: 45084024.0000 - val_loss: 4300.0303 - val_mae: 4300.0303 - val_mse: 51498528.0000\n",
            "Epoch 14740/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4095.5544 - mae: 4095.5544 - mse: 45078492.0000 - val_loss: 4299.7017 - val_mae: 4299.7017 - val_mse: 51492500.0000\n",
            "Epoch 14741/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4095.0930 - mae: 4095.0930 - mse: 45072492.0000 - val_loss: 4299.3638 - val_mae: 4299.3638 - val_mse: 51486320.0000\n",
            "Epoch 14742/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4094.6074 - mae: 4094.6074 - mse: 45066008.0000 - val_loss: 4299.0205 - val_mae: 4299.0205 - val_mse: 51480028.0000\n",
            "Epoch 14743/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4094.1365 - mae: 4094.1365 - mse: 45060020.0000 - val_loss: 4298.6836 - val_mae: 4298.6836 - val_mse: 51473856.0000\n",
            "Epoch 14744/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4093.6765 - mae: 4093.6765 - mse: 45054020.0000 - val_loss: 4298.3618 - val_mae: 4298.3618 - val_mse: 51467956.0000\n",
            "Epoch 14745/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4093.2229 - mae: 4093.2229 - mse: 45048228.0000 - val_loss: 4298.0312 - val_mae: 4298.0312 - val_mse: 51461900.0000\n",
            "Epoch 14746/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4092.7678 - mae: 4092.7678 - mse: 45042068.0000 - val_loss: 4297.6934 - val_mae: 4297.6934 - val_mse: 51455712.0000\n",
            "Epoch 14747/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4092.2983 - mae: 4092.2983 - mse: 45035924.0000 - val_loss: 4297.3604 - val_mae: 4297.3604 - val_mse: 51449612.0000\n",
            "Epoch 14748/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4091.8445 - mae: 4091.8445 - mse: 45030052.0000 - val_loss: 4297.0366 - val_mae: 4297.0366 - val_mse: 51443684.0000\n",
            "Epoch 14749/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4091.4058 - mae: 4091.4058 - mse: 45024464.0000 - val_loss: 4296.7319 - val_mae: 4296.7319 - val_mse: 51438104.0000\n",
            "Epoch 14750/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4090.9756 - mae: 4090.9756 - mse: 45018644.0000 - val_loss: 4296.4238 - val_mae: 4296.4238 - val_mse: 51432460.0000\n",
            "Epoch 14751/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4090.5503 - mae: 4090.5503 - mse: 45013276.0000 - val_loss: 4296.1104 - val_mae: 4296.1104 - val_mse: 51426720.0000\n",
            "Epoch 14752/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4090.1204 - mae: 4090.1204 - mse: 45007232.0000 - val_loss: 4295.7891 - val_mae: 4295.7891 - val_mse: 51420848.0000\n",
            "Epoch 14753/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4089.6589 - mae: 4089.6589 - mse: 45001236.0000 - val_loss: 4295.4688 - val_mae: 4295.4688 - val_mse: 51414992.0000\n",
            "Epoch 14754/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4089.2153 - mae: 4089.2153 - mse: 44995252.0000 - val_loss: 4295.1387 - val_mae: 4295.1387 - val_mse: 51408952.0000\n",
            "Epoch 14755/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4088.7466 - mae: 4088.7466 - mse: 44989136.0000 - val_loss: 4294.8101 - val_mae: 4294.8101 - val_mse: 51402952.0000\n",
            "Epoch 14756/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4088.3035 - mae: 4088.3035 - mse: 44983604.0000 - val_loss: 4294.4736 - val_mae: 4294.4736 - val_mse: 51396784.0000\n",
            "Epoch 14757/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4087.8362 - mae: 4087.8362 - mse: 44977336.0000 - val_loss: 4294.1396 - val_mae: 4294.1396 - val_mse: 51390672.0000\n",
            "Epoch 14758/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4087.3545 - mae: 4087.3545 - mse: 44970800.0000 - val_loss: 4293.8013 - val_mae: 4293.8013 - val_mse: 51384496.0000\n",
            "Epoch 14759/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4086.9089 - mae: 4086.9089 - mse: 44965248.0000 - val_loss: 4293.4434 - val_mae: 4293.4434 - val_mse: 51377952.0000\n",
            "Epoch 14760/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4086.4082 - mae: 4086.4082 - mse: 44958732.0000 - val_loss: 4293.0903 - val_mae: 4293.0903 - val_mse: 51371496.0000\n",
            "Epoch 14761/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4085.9084 - mae: 4085.9084 - mse: 44952000.0000 - val_loss: 4292.7412 - val_mae: 4292.7412 - val_mse: 51365112.0000\n",
            "Epoch 14762/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4085.4180 - mae: 4085.4180 - mse: 44945632.0000 - val_loss: 4292.3950 - val_mae: 4292.3950 - val_mse: 51358784.0000\n",
            "Epoch 14763/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4084.9414 - mae: 4084.9414 - mse: 44939452.0000 - val_loss: 4292.0410 - val_mae: 4292.0410 - val_mse: 51352320.0000\n",
            "Epoch 14764/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4084.4722 - mae: 4084.4722 - mse: 44933124.0000 - val_loss: 4291.7056 - val_mae: 4291.7056 - val_mse: 51346196.0000\n",
            "Epoch 14765/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4083.9954 - mae: 4083.9954 - mse: 44926876.0000 - val_loss: 4291.3867 - val_mae: 4291.3867 - val_mse: 51340088.0000\n",
            "Epoch 14766/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4083.5498 - mae: 4083.5498 - mse: 44921236.0000 - val_loss: 4291.0908 - val_mae: 4291.0908 - val_mse: 51333932.0000\n",
            "Epoch 14767/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4083.0630 - mae: 4083.0630 - mse: 44914836.0000 - val_loss: 4290.8145 - val_mae: 4290.8145 - val_mse: 51328188.0000\n",
            "Epoch 14768/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4082.6426 - mae: 4082.6426 - mse: 44909632.0000 - val_loss: 4290.5269 - val_mae: 4290.5269 - val_mse: 51322204.0000\n",
            "Epoch 14769/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4082.1921 - mae: 4082.1921 - mse: 44903684.0000 - val_loss: 4290.2456 - val_mae: 4290.2456 - val_mse: 51316348.0000\n",
            "Epoch 14770/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4081.7336 - mae: 4081.7336 - mse: 44897308.0000 - val_loss: 4289.9580 - val_mae: 4289.9580 - val_mse: 51310392.0000\n",
            "Epoch 14771/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4081.2751 - mae: 4081.2751 - mse: 44891260.0000 - val_loss: 4289.6621 - val_mae: 4289.6621 - val_mse: 51304236.0000\n",
            "Epoch 14772/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4080.8083 - mae: 4080.8083 - mse: 44885200.0000 - val_loss: 4289.3599 - val_mae: 4289.3599 - val_mse: 51297952.0000\n",
            "Epoch 14773/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4080.3315 - mae: 4080.3315 - mse: 44878968.0000 - val_loss: 4289.0684 - val_mae: 4289.0684 - val_mse: 51291896.0000\n",
            "Epoch 14774/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4079.8762 - mae: 4079.8762 - mse: 44872904.0000 - val_loss: 4288.7695 - val_mae: 4288.7695 - val_mse: 51285680.0000\n",
            "Epoch 14775/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4079.3955 - mae: 4079.3955 - mse: 44866856.0000 - val_loss: 4288.4751 - val_mae: 4288.4751 - val_mse: 51279568.0000\n",
            "Epoch 14776/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4078.9309 - mae: 4078.9309 - mse: 44861072.0000 - val_loss: 4288.1797 - val_mae: 4288.1797 - val_mse: 51273440.0000\n",
            "Epoch 14777/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4078.4680 - mae: 4078.4680 - mse: 44855144.0000 - val_loss: 4287.8843 - val_mae: 4287.8843 - val_mse: 51267292.0000\n",
            "Epoch 14778/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4078.0095 - mae: 4078.0095 - mse: 44848620.0000 - val_loss: 4287.5869 - val_mae: 4287.5869 - val_mse: 51261128.0000\n",
            "Epoch 14779/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4077.5354 - mae: 4077.5354 - mse: 44842480.0000 - val_loss: 4287.2993 - val_mae: 4287.2993 - val_mse: 51255152.0000\n",
            "Epoch 14780/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4077.0801 - mae: 4077.0801 - mse: 44836700.0000 - val_loss: 4287.0112 - val_mae: 4287.0112 - val_mse: 51249176.0000\n",
            "Epoch 14781/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4076.6167 - mae: 4076.6167 - mse: 44830400.0000 - val_loss: 4286.7197 - val_mae: 4286.7197 - val_mse: 51243124.0000\n",
            "Epoch 14782/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4076.1631 - mae: 4076.1631 - mse: 44824476.0000 - val_loss: 4286.4370 - val_mae: 4286.4370 - val_mse: 51237256.0000\n",
            "Epoch 14783/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4075.7173 - mae: 4075.7173 - mse: 44818756.0000 - val_loss: 4286.1460 - val_mae: 4286.1460 - val_mse: 51231220.0000\n",
            "Epoch 14784/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4075.2676 - mae: 4075.2676 - mse: 44812940.0000 - val_loss: 4285.8467 - val_mae: 4285.8467 - val_mse: 51225000.0000\n",
            "Epoch 14785/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4074.7913 - mae: 4074.7913 - mse: 44806504.0000 - val_loss: 4285.5488 - val_mae: 4285.5488 - val_mse: 51218820.0000\n",
            "Epoch 14786/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4074.3154 - mae: 4074.3154 - mse: 44800688.0000 - val_loss: 4285.2549 - val_mae: 4285.2549 - val_mse: 51212728.0000\n",
            "Epoch 14787/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4073.8445 - mae: 4073.8445 - mse: 44794308.0000 - val_loss: 4284.9595 - val_mae: 4284.9595 - val_mse: 51206612.0000\n",
            "Epoch 14788/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4073.3850 - mae: 4073.3850 - mse: 44788184.0000 - val_loss: 4284.6582 - val_mae: 4284.6582 - val_mse: 51200368.0000\n",
            "Epoch 14789/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4072.8921 - mae: 4072.8921 - mse: 44782252.0000 - val_loss: 4284.3604 - val_mae: 4284.3604 - val_mse: 51194180.0000\n",
            "Epoch 14790/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4072.4387 - mae: 4072.4387 - mse: 44775884.0000 - val_loss: 4284.0576 - val_mae: 4284.0576 - val_mse: 51187920.0000\n",
            "Epoch 14791/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4071.9646 - mae: 4071.9646 - mse: 44769112.0000 - val_loss: 4283.7515 - val_mae: 4283.7515 - val_mse: 51181568.0000\n",
            "Epoch 14792/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4071.4570 - mae: 4071.4570 - mse: 44762896.0000 - val_loss: 4283.4570 - val_mae: 4283.4570 - val_mse: 51175460.0000\n",
            "Epoch 14793/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4071.0203 - mae: 4071.0203 - mse: 44757156.0000 - val_loss: 4283.1587 - val_mae: 4283.1587 - val_mse: 51169288.0000\n",
            "Epoch 14794/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4070.5378 - mae: 4070.5378 - mse: 44751244.0000 - val_loss: 4282.8652 - val_mae: 4282.8652 - val_mse: 51163208.0000\n",
            "Epoch 14795/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4070.0754 - mae: 4070.0754 - mse: 44744968.0000 - val_loss: 4282.5737 - val_mae: 4282.5737 - val_mse: 51157176.0000\n",
            "Epoch 14796/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4069.6140 - mae: 4069.6140 - mse: 44738780.0000 - val_loss: 4282.2754 - val_mae: 4282.2754 - val_mse: 51150984.0000\n",
            "Epoch 14797/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4069.1455 - mae: 4069.1455 - mse: 44732736.0000 - val_loss: 4281.9756 - val_mae: 4281.9756 - val_mse: 51144784.0000\n",
            "Epoch 14798/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4068.6836 - mae: 4068.6836 - mse: 44727096.0000 - val_loss: 4281.6973 - val_mae: 4281.6973 - val_mse: 51139012.0000\n",
            "Epoch 14799/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4068.2473 - mae: 4068.2473 - mse: 44721488.0000 - val_loss: 4281.4194 - val_mae: 4281.4194 - val_mse: 51133260.0000\n",
            "Epoch 14800/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4067.7976 - mae: 4067.7976 - mse: 44715628.0000 - val_loss: 4281.1328 - val_mae: 4281.1328 - val_mse: 51127340.0000\n",
            "Epoch 14801/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4067.3574 - mae: 4067.3574 - mse: 44709704.0000 - val_loss: 4280.8501 - val_mae: 4280.8501 - val_mse: 51121488.0000\n",
            "Epoch 14802/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4066.9102 - mae: 4066.9102 - mse: 44704088.0000 - val_loss: 4280.5669 - val_mae: 4280.5674 - val_mse: 51115640.0000\n",
            "Epoch 14803/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4066.4458 - mae: 4066.4458 - mse: 44697720.0000 - val_loss: 4280.2827 - val_mae: 4280.2827 - val_mse: 51109752.0000\n",
            "Epoch 14804/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4066.0151 - mae: 4066.0151 - mse: 44692080.0000 - val_loss: 4280.0015 - val_mae: 4280.0015 - val_mse: 51103932.0000\n",
            "Epoch 14805/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4065.5747 - mae: 4065.5747 - mse: 44686688.0000 - val_loss: 4279.7422 - val_mae: 4279.7422 - val_mse: 51098568.0000\n",
            "Epoch 14806/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4065.1528 - mae: 4065.1528 - mse: 44680884.0000 - val_loss: 4279.4697 - val_mae: 4279.4697 - val_mse: 51092936.0000\n",
            "Epoch 14807/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4064.7188 - mae: 4064.7188 - mse: 44675476.0000 - val_loss: 4279.2017 - val_mae: 4279.2017 - val_mse: 51086972.0000\n",
            "Epoch 14808/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4064.2515 - mae: 4064.2515 - mse: 44669380.0000 - val_loss: 4278.9219 - val_mae: 4278.9219 - val_mse: 51080736.0000\n",
            "Epoch 14809/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4063.7686 - mae: 4063.7686 - mse: 44662776.0000 - val_loss: 4278.6465 - val_mae: 4278.6465 - val_mse: 51074592.0000\n",
            "Epoch 14810/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4063.3125 - mae: 4063.3125 - mse: 44657148.0000 - val_loss: 4278.3618 - val_mae: 4278.3618 - val_mse: 51068236.0000\n",
            "Epoch 14811/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4062.8091 - mae: 4062.8091 - mse: 44650248.0000 - val_loss: 4278.0840 - val_mae: 4278.0840 - val_mse: 51062048.0000\n",
            "Epoch 14812/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4062.3433 - mae: 4062.3433 - mse: 44644584.0000 - val_loss: 4277.7959 - val_mae: 4277.7959 - val_mse: 51055628.0000\n",
            "Epoch 14813/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4061.8540 - mae: 4061.8540 - mse: 44637820.0000 - val_loss: 4277.5137 - val_mae: 4277.5137 - val_mse: 51049336.0000\n",
            "Epoch 14814/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4061.3806 - mae: 4061.3806 - mse: 44631916.0000 - val_loss: 4277.2437 - val_mae: 4277.2437 - val_mse: 51043312.0000\n",
            "Epoch 14815/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4060.9231 - mae: 4060.9231 - mse: 44625856.0000 - val_loss: 4276.9819 - val_mae: 4276.9819 - val_mse: 51037476.0000\n",
            "Epoch 14816/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4060.4668 - mae: 4060.4668 - mse: 44620104.0000 - val_loss: 4276.6987 - val_mae: 4276.6987 - val_mse: 51031172.0000\n",
            "Epoch 14817/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4059.9973 - mae: 4059.9973 - mse: 44613724.0000 - val_loss: 4276.4292 - val_mae: 4276.4292 - val_mse: 51025160.0000\n",
            "Epoch 14818/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4059.5352 - mae: 4059.5352 - mse: 44608084.0000 - val_loss: 4276.1616 - val_mae: 4276.1616 - val_mse: 51019216.0000\n",
            "Epoch 14819/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4059.0801 - mae: 4059.0801 - mse: 44601720.0000 - val_loss: 4275.8896 - val_mae: 4275.8896 - val_mse: 51013144.0000\n",
            "Epoch 14820/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4058.6045 - mae: 4058.6045 - mse: 44595716.0000 - val_loss: 4275.6177 - val_mae: 4275.6177 - val_mse: 51007096.0000\n",
            "Epoch 14821/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4058.1411 - mae: 4058.1411 - mse: 44589140.0000 - val_loss: 4275.3359 - val_mae: 4275.3359 - val_mse: 51000820.0000\n",
            "Epoch 14822/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4057.6680 - mae: 4057.6680 - mse: 44583232.0000 - val_loss: 4275.0483 - val_mae: 4275.0483 - val_mse: 50994424.0000\n",
            "Epoch 14823/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4057.1821 - mae: 4057.1821 - mse: 44577300.0000 - val_loss: 4274.7646 - val_mae: 4274.7646 - val_mse: 50988108.0000\n",
            "Epoch 14824/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4056.7100 - mae: 4056.7100 - mse: 44570864.0000 - val_loss: 4274.4922 - val_mae: 4274.4922 - val_mse: 50982044.0000\n",
            "Epoch 14825/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4056.2419 - mae: 4056.2419 - mse: 44564804.0000 - val_loss: 4274.2231 - val_mae: 4274.2231 - val_mse: 50976064.0000\n",
            "Epoch 14826/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4055.7866 - mae: 4055.7866 - mse: 44558884.0000 - val_loss: 4273.9668 - val_mae: 4273.9668 - val_mse: 50970356.0000\n",
            "Epoch 14827/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4055.3477 - mae: 4055.3477 - mse: 44553092.0000 - val_loss: 4273.7026 - val_mae: 4273.7026 - val_mse: 50964480.0000\n",
            "Epoch 14828/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4054.8926 - mae: 4054.8926 - mse: 44547444.0000 - val_loss: 4273.4316 - val_mae: 4273.4316 - val_mse: 50958440.0000\n",
            "Epoch 14829/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4054.4192 - mae: 4054.4192 - mse: 44541300.0000 - val_loss: 4273.1519 - val_mae: 4273.1519 - val_mse: 50952220.0000\n",
            "Epoch 14830/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4053.9458 - mae: 4053.9458 - mse: 44535000.0000 - val_loss: 4272.8760 - val_mae: 4272.8760 - val_mse: 50946096.0000\n",
            "Epoch 14831/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4053.4775 - mae: 4053.4775 - mse: 44529020.0000 - val_loss: 4272.6099 - val_mae: 4272.6099 - val_mse: 50940180.0000\n",
            "Epoch 14832/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4053.0232 - mae: 4053.0232 - mse: 44522900.0000 - val_loss: 4272.3257 - val_mae: 4272.3257 - val_mse: 50933868.0000\n",
            "Epoch 14833/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4052.5400 - mae: 4052.5400 - mse: 44516676.0000 - val_loss: 4272.0493 - val_mae: 4272.0493 - val_mse: 50927732.0000\n",
            "Epoch 14834/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4052.0759 - mae: 4052.0759 - mse: 44511032.0000 - val_loss: 4271.7798 - val_mae: 4271.7798 - val_mse: 50921720.0000\n",
            "Epoch 14835/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4051.6135 - mae: 4051.6135 - mse: 44504712.0000 - val_loss: 4271.5122 - val_mae: 4271.5122 - val_mse: 50915792.0000\n",
            "Epoch 14836/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4051.1714 - mae: 4051.1714 - mse: 44498984.0000 - val_loss: 4271.2544 - val_mae: 4271.2544 - val_mse: 50910072.0000\n",
            "Epoch 14837/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4050.7236 - mae: 4050.7236 - mse: 44493216.0000 - val_loss: 4270.9863 - val_mae: 4270.9863 - val_mse: 50904104.0000\n",
            "Epoch 14838/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4050.2539 - mae: 4050.2539 - mse: 44487236.0000 - val_loss: 4270.7139 - val_mae: 4270.7139 - val_mse: 50898056.0000\n",
            "Epoch 14839/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4049.8174 - mae: 4049.8174 - mse: 44481400.0000 - val_loss: 4270.4355 - val_mae: 4270.4355 - val_mse: 50891884.0000\n",
            "Epoch 14840/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4049.3186 - mae: 4049.3186 - mse: 44474892.0000 - val_loss: 4270.1782 - val_mae: 4270.1782 - val_mse: 50886172.0000\n",
            "Epoch 14841/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4048.8799 - mae: 4048.8799 - mse: 44469296.0000 - val_loss: 4269.9102 - val_mae: 4269.9102 - val_mse: 50880208.0000\n",
            "Epoch 14842/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4048.4246 - mae: 4048.4246 - mse: 44463280.0000 - val_loss: 4269.6309 - val_mae: 4269.6309 - val_mse: 50874024.0000\n",
            "Epoch 14843/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4047.9485 - mae: 4047.9485 - mse: 44457372.0000 - val_loss: 4269.3652 - val_mae: 4269.3652 - val_mse: 50868116.0000\n",
            "Epoch 14844/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4047.4946 - mae: 4047.4946 - mse: 44451116.0000 - val_loss: 4269.0879 - val_mae: 4269.0879 - val_mse: 50861964.0000\n",
            "Epoch 14845/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4047.0317 - mae: 4047.0317 - mse: 44445024.0000 - val_loss: 4268.8066 - val_mae: 4268.8066 - val_mse: 50855724.0000\n",
            "Epoch 14846/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4046.5332 - mae: 4046.5332 - mse: 44438824.0000 - val_loss: 4268.5234 - val_mae: 4268.5234 - val_mse: 50849444.0000\n",
            "Epoch 14847/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4046.0664 - mae: 4046.0664 - mse: 44433032.0000 - val_loss: 4268.2466 - val_mae: 4268.2466 - val_mse: 50843308.0000\n",
            "Epoch 14848/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4045.5945 - mae: 4045.5945 - mse: 44426704.0000 - val_loss: 4267.9741 - val_mae: 4267.9741 - val_mse: 50837280.0000\n",
            "Epoch 14849/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4045.1326 - mae: 4045.1326 - mse: 44421096.0000 - val_loss: 4267.7197 - val_mae: 4267.7197 - val_mse: 50831632.0000\n",
            "Epoch 14850/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4044.6958 - mae: 4044.6958 - mse: 44415300.0000 - val_loss: 4267.4644 - val_mae: 4267.4644 - val_mse: 50825960.0000\n",
            "Epoch 14851/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4044.2505 - mae: 4044.2505 - mse: 44409200.0000 - val_loss: 4267.1914 - val_mae: 4267.1914 - val_mse: 50819908.0000\n",
            "Epoch 14852/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4043.7820 - mae: 4043.7820 - mse: 44403384.0000 - val_loss: 4266.9160 - val_mae: 4266.9160 - val_mse: 50813804.0000\n",
            "Epoch 14853/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4043.3254 - mae: 4043.3254 - mse: 44397204.0000 - val_loss: 4266.6416 - val_mae: 4266.6416 - val_mse: 50807728.0000\n",
            "Epoch 14854/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4042.8525 - mae: 4042.8525 - mse: 44391372.0000 - val_loss: 4266.3638 - val_mae: 4266.3638 - val_mse: 50801580.0000\n",
            "Epoch 14855/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4042.3792 - mae: 4042.3792 - mse: 44385436.0000 - val_loss: 4266.0928 - val_mae: 4266.0928 - val_mse: 50795580.0000\n",
            "Epoch 14856/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4041.9165 - mae: 4041.9165 - mse: 44379040.0000 - val_loss: 4265.8242 - val_mae: 4265.8242 - val_mse: 50789624.0000\n",
            "Epoch 14857/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4041.4639 - mae: 4041.4639 - mse: 44373380.0000 - val_loss: 4265.5596 - val_mae: 4265.5596 - val_mse: 50783764.0000\n",
            "Epoch 14858/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4041.0022 - mae: 4041.0022 - mse: 44367284.0000 - val_loss: 4265.2827 - val_mae: 4265.2827 - val_mse: 50777636.0000\n",
            "Epoch 14859/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4040.5420 - mae: 4040.5420 - mse: 44361520.0000 - val_loss: 4265.0044 - val_mae: 4265.0044 - val_mse: 50771492.0000\n",
            "Epoch 14860/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4040.0774 - mae: 4040.0774 - mse: 44355336.0000 - val_loss: 4264.7354 - val_mae: 4264.7354 - val_mse: 50765520.0000\n",
            "Epoch 14861/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4039.6006 - mae: 4039.6006 - mse: 44349020.0000 - val_loss: 4264.4609 - val_mae: 4264.4609 - val_mse: 50759448.0000\n",
            "Epoch 14862/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4039.1318 - mae: 4039.1318 - mse: 44342920.0000 - val_loss: 4264.1865 - val_mae: 4264.1865 - val_mse: 50753372.0000\n",
            "Epoch 14863/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4038.6665 - mae: 4038.6665 - mse: 44337000.0000 - val_loss: 4263.9121 - val_mae: 4263.9121 - val_mse: 50747312.0000\n",
            "Epoch 14864/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4038.2175 - mae: 4038.2175 - mse: 44331296.0000 - val_loss: 4263.6504 - val_mae: 4263.6504 - val_mse: 50741512.0000\n",
            "Epoch 14865/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4037.7603 - mae: 4037.7603 - mse: 44325384.0000 - val_loss: 4263.3726 - val_mae: 4263.3726 - val_mse: 50735384.0000\n",
            "Epoch 14866/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4037.2852 - mae: 4037.2852 - mse: 44319124.0000 - val_loss: 4263.1074 - val_mae: 4263.1074 - val_mse: 50729504.0000\n",
            "Epoch 14867/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4036.8320 - mae: 4036.8320 - mse: 44313236.0000 - val_loss: 4262.8315 - val_mae: 4262.8315 - val_mse: 50723408.0000\n",
            "Epoch 14868/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 4036.3708 - mae: 4036.3708 - mse: 44307392.0000 - val_loss: 4262.5669 - val_mae: 4262.5669 - val_mse: 50717560.0000\n",
            "Epoch 14869/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4035.9211 - mae: 4035.9211 - mse: 44301468.0000 - val_loss: 4262.3042 - val_mae: 4262.3042 - val_mse: 50711760.0000\n",
            "Epoch 14870/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4035.4614 - mae: 4035.4614 - mse: 44295744.0000 - val_loss: 4262.0312 - val_mae: 4262.0312 - val_mse: 50705720.0000\n",
            "Epoch 14871/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4034.9985 - mae: 4034.9985 - mse: 44289628.0000 - val_loss: 4261.7603 - val_mae: 4261.7603 - val_mse: 50699740.0000\n",
            "Epoch 14872/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4034.5474 - mae: 4034.5474 - mse: 44283916.0000 - val_loss: 4261.5029 - val_mae: 4261.5029 - val_mse: 50694052.0000\n",
            "Epoch 14873/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4034.0979 - mae: 4034.0979 - mse: 44277968.0000 - val_loss: 4261.2280 - val_mae: 4261.2280 - val_mse: 50687968.0000\n",
            "Epoch 14874/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4033.6333 - mae: 4033.6333 - mse: 44272292.0000 - val_loss: 4260.9526 - val_mae: 4260.9526 - val_mse: 50681896.0000\n",
            "Epoch 14875/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4033.1704 - mae: 4033.1704 - mse: 44266204.0000 - val_loss: 4260.6943 - val_mae: 4260.6938 - val_mse: 50676192.0000\n",
            "Epoch 14876/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4032.7249 - mae: 4032.7249 - mse: 44260488.0000 - val_loss: 4260.4341 - val_mae: 4260.4341 - val_mse: 50670444.0000\n",
            "Epoch 14877/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4032.2935 - mae: 4032.2935 - mse: 44254740.0000 - val_loss: 4260.1646 - val_mae: 4260.1646 - val_mse: 50664496.0000\n",
            "Epoch 14878/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4031.8330 - mae: 4031.8330 - mse: 44248880.0000 - val_loss: 4259.9048 - val_mae: 4259.9048 - val_mse: 50658760.0000\n",
            "Epoch 14879/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4031.3887 - mae: 4031.3887 - mse: 44243020.0000 - val_loss: 4259.6382 - val_mae: 4259.6382 - val_mse: 50652880.0000\n",
            "Epoch 14880/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4030.9380 - mae: 4030.9380 - mse: 44237492.0000 - val_loss: 4259.3652 - val_mae: 4259.3652 - val_mse: 50646852.0000\n",
            "Epoch 14881/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4030.4619 - mae: 4030.4619 - mse: 44231140.0000 - val_loss: 4259.1108 - val_mae: 4259.1108 - val_mse: 50641240.0000\n",
            "Epoch 14882/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4030.0266 - mae: 4030.0266 - mse: 44225652.0000 - val_loss: 4258.8394 - val_mae: 4258.8394 - val_mse: 50635256.0000\n",
            "Epoch 14883/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4029.5735 - mae: 4029.5735 - mse: 44219336.0000 - val_loss: 4258.5786 - val_mae: 4258.5786 - val_mse: 50629488.0000\n",
            "Epoch 14884/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4029.1255 - mae: 4029.1255 - mse: 44214112.0000 - val_loss: 4258.3169 - val_mae: 4258.3169 - val_mse: 50623720.0000\n",
            "Epoch 14885/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4028.6689 - mae: 4028.6689 - mse: 44208008.0000 - val_loss: 4258.0435 - val_mae: 4258.0435 - val_mse: 50617692.0000\n",
            "Epoch 14886/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4028.2046 - mae: 4028.2046 - mse: 44202076.0000 - val_loss: 4257.7622 - val_mae: 4257.7622 - val_mse: 50611500.0000\n",
            "Epoch 14887/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4027.7349 - mae: 4027.7349 - mse: 44195948.0000 - val_loss: 4257.4907 - val_mae: 4257.4907 - val_mse: 50605520.0000\n",
            "Epoch 14888/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4027.2629 - mae: 4027.2629 - mse: 44190064.0000 - val_loss: 4257.2144 - val_mae: 4257.2144 - val_mse: 50599428.0000\n",
            "Epoch 14889/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4026.7817 - mae: 4026.7817 - mse: 44183408.0000 - val_loss: 4256.9365 - val_mae: 4256.9365 - val_mse: 50593312.0000\n",
            "Epoch 14890/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4026.3096 - mae: 4026.3096 - mse: 44177344.0000 - val_loss: 4256.6504 - val_mae: 4256.6504 - val_mse: 50586988.0000\n",
            "Epoch 14891/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4025.8110 - mae: 4025.8110 - mse: 44171208.0000 - val_loss: 4256.3706 - val_mae: 4256.3706 - val_mse: 50580828.0000\n",
            "Epoch 14892/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4025.3582 - mae: 4025.3582 - mse: 44165584.0000 - val_loss: 4256.0908 - val_mae: 4256.0908 - val_mse: 50574668.0000\n",
            "Epoch 14893/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4024.8894 - mae: 4024.8894 - mse: 44159516.0000 - val_loss: 4255.8169 - val_mae: 4255.8169 - val_mse: 50568640.0000\n",
            "Epoch 14894/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4024.4319 - mae: 4024.4319 - mse: 44153648.0000 - val_loss: 4255.5596 - val_mae: 4255.5596 - val_mse: 50562964.0000\n",
            "Epoch 14895/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4023.9797 - mae: 4023.9797 - mse: 44147588.0000 - val_loss: 4255.2993 - val_mae: 4255.2993 - val_mse: 50557228.0000\n",
            "Epoch 14896/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4023.5286 - mae: 4023.5286 - mse: 44141812.0000 - val_loss: 4255.0181 - val_mae: 4255.0181 - val_mse: 50551048.0000\n",
            "Epoch 14897/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4023.0400 - mae: 4023.0400 - mse: 44135596.0000 - val_loss: 4254.7422 - val_mae: 4254.7422 - val_mse: 50544964.0000\n",
            "Epoch 14898/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4022.5747 - mae: 4022.5747 - mse: 44129272.0000 - val_loss: 4254.4565 - val_mae: 4254.4565 - val_mse: 50538684.0000\n",
            "Epoch 14899/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4022.0854 - mae: 4022.0854 - mse: 44123500.0000 - val_loss: 4254.1641 - val_mae: 4254.1641 - val_mse: 50532240.0000\n",
            "Epoch 14900/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4021.5881 - mae: 4021.5881 - mse: 44116748.0000 - val_loss: 4253.8794 - val_mae: 4253.8794 - val_mse: 50525972.0000\n",
            "Epoch 14901/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4021.0959 - mae: 4021.0959 - mse: 44110448.0000 - val_loss: 4253.6133 - val_mae: 4253.6133 - val_mse: 50520128.0000\n",
            "Epoch 14902/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4020.6487 - mae: 4020.6487 - mse: 44104644.0000 - val_loss: 4253.3330 - val_mae: 4253.3330 - val_mse: 50513972.0000\n",
            "Epoch 14903/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4020.1685 - mae: 4020.1685 - mse: 44098708.0000 - val_loss: 4253.0439 - val_mae: 4253.0439 - val_mse: 50507608.0000\n",
            "Epoch 14904/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4019.6895 - mae: 4019.6895 - mse: 44092568.0000 - val_loss: 4252.7617 - val_mae: 4252.7617 - val_mse: 50501416.0000\n",
            "Epoch 14905/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4019.1997 - mae: 4019.1997 - mse: 44085972.0000 - val_loss: 4252.4902 - val_mae: 4252.4902 - val_mse: 50495440.0000\n",
            "Epoch 14906/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4018.7405 - mae: 4018.7405 - mse: 44080200.0000 - val_loss: 4252.2153 - val_mae: 4252.2153 - val_mse: 50489400.0000\n",
            "Epoch 14907/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4018.2634 - mae: 4018.2634 - mse: 44074116.0000 - val_loss: 4251.9443 - val_mae: 4251.9443 - val_mse: 50483444.0000\n",
            "Epoch 14908/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4017.8130 - mae: 4017.8130 - mse: 44068528.0000 - val_loss: 4251.6777 - val_mae: 4251.6777 - val_mse: 50477576.0000\n",
            "Epoch 14909/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4017.3647 - mae: 4017.3647 - mse: 44062704.0000 - val_loss: 4251.4131 - val_mae: 4251.4131 - val_mse: 50471772.0000\n",
            "Epoch 14910/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4016.9062 - mae: 4016.9062 - mse: 44056832.0000 - val_loss: 4251.1465 - val_mae: 4251.1465 - val_mse: 50465904.0000\n",
            "Epoch 14911/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4016.4414 - mae: 4016.4414 - mse: 44050268.0000 - val_loss: 4250.8691 - val_mae: 4250.8691 - val_mse: 50459816.0000\n",
            "Epoch 14912/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4015.9734 - mae: 4015.9734 - mse: 44044884.0000 - val_loss: 4250.5928 - val_mae: 4250.5928 - val_mse: 50453752.0000\n",
            "Epoch 14913/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4015.5068 - mae: 4015.5068 - mse: 44038816.0000 - val_loss: 4250.3208 - val_mae: 4250.3208 - val_mse: 50447784.0000\n",
            "Epoch 14914/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4015.0496 - mae: 4015.0496 - mse: 44032876.0000 - val_loss: 4250.0488 - val_mae: 4250.0493 - val_mse: 50441812.0000\n",
            "Epoch 14915/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4014.5872 - mae: 4014.5872 - mse: 44026984.0000 - val_loss: 4249.7754 - val_mae: 4249.7754 - val_mse: 50435800.0000\n",
            "Epoch 14916/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4014.1228 - mae: 4014.1228 - mse: 44020856.0000 - val_loss: 4249.5103 - val_mae: 4249.5103 - val_mse: 50429992.0000\n",
            "Epoch 14917/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4013.6697 - mae: 4013.6697 - mse: 44015292.0000 - val_loss: 4249.2524 - val_mae: 4249.2524 - val_mse: 50424328.0000\n",
            "Epoch 14918/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4013.2217 - mae: 4013.2217 - mse: 44009552.0000 - val_loss: 4248.9863 - val_mae: 4248.9863 - val_mse: 50418484.0000\n",
            "Epoch 14919/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4012.7739 - mae: 4012.7739 - mse: 44003676.0000 - val_loss: 4248.7241 - val_mae: 4248.7241 - val_mse: 50412736.0000\n",
            "Epoch 14920/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4012.3198 - mae: 4012.3198 - mse: 43997496.0000 - val_loss: 4248.4468 - val_mae: 4248.4468 - val_mse: 50406664.0000\n",
            "Epoch 14921/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4011.8369 - mae: 4011.8369 - mse: 43991616.0000 - val_loss: 4248.1572 - val_mae: 4248.1572 - val_mse: 50400308.0000\n",
            "Epoch 14922/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 4011.3416 - mae: 4011.3416 - mse: 43985200.0000 - val_loss: 4247.8677 - val_mae: 4247.8677 - val_mse: 50393964.0000\n",
            "Epoch 14923/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4010.8572 - mae: 4010.8572 - mse: 43979052.0000 - val_loss: 4247.5894 - val_mae: 4247.5894 - val_mse: 50387788.0000\n",
            "Epoch 14924/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4010.3879 - mae: 4010.3879 - mse: 43972928.0000 - val_loss: 4247.3462 - val_mae: 4247.3462 - val_mse: 50382044.0000\n",
            "Epoch 14925/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4009.9470 - mae: 4009.9470 - mse: 43967468.0000 - val_loss: 4247.1118 - val_mae: 4247.1118 - val_mse: 50376528.0000\n",
            "Epoch 14926/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4009.5066 - mae: 4009.5066 - mse: 43961792.0000 - val_loss: 4246.8638 - val_mae: 4246.8638 - val_mse: 50370668.0000\n",
            "Epoch 14927/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4009.0522 - mae: 4009.0522 - mse: 43955832.0000 - val_loss: 4246.6104 - val_mae: 4246.6104 - val_mse: 50364692.0000\n",
            "Epoch 14928/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4008.5957 - mae: 4008.5957 - mse: 43950220.0000 - val_loss: 4246.3589 - val_mae: 4246.3589 - val_mse: 50358764.0000\n",
            "Epoch 14929/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4008.1340 - mae: 4008.1340 - mse: 43944028.0000 - val_loss: 4246.1113 - val_mae: 4246.1113 - val_mse: 50352928.0000\n",
            "Epoch 14930/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4007.6760 - mae: 4007.6760 - mse: 43938300.0000 - val_loss: 4245.8638 - val_mae: 4245.8638 - val_mse: 50347088.0000\n",
            "Epoch 14931/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4007.2092 - mae: 4007.2092 - mse: 43932416.0000 - val_loss: 4245.6060 - val_mae: 4245.6060 - val_mse: 50341020.0000\n",
            "Epoch 14932/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 4006.7371 - mae: 4006.7371 - mse: 43926356.0000 - val_loss: 4245.3447 - val_mae: 4245.3447 - val_mse: 50334868.0000\n",
            "Epoch 14933/16000\n",
            "6/6 [==============================] - 0s 14ms/step - loss: 4006.2744 - mae: 4006.2744 - mse: 43920216.0000 - val_loss: 4245.0811 - val_mae: 4245.0811 - val_mse: 50328652.0000\n",
            "Epoch 14934/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 4005.7839 - mae: 4005.7839 - mse: 43913984.0000 - val_loss: 4244.8228 - val_mae: 4244.8228 - val_mse: 50322568.0000\n",
            "Epoch 14935/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4005.3186 - mae: 4005.3186 - mse: 43908252.0000 - val_loss: 4244.5703 - val_mae: 4244.5703 - val_mse: 50316620.0000\n",
            "Epoch 14936/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4004.8506 - mae: 4004.8506 - mse: 43902316.0000 - val_loss: 4244.3149 - val_mae: 4244.3149 - val_mse: 50310608.0000\n",
            "Epoch 14937/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4004.3906 - mae: 4004.3906 - mse: 43895956.0000 - val_loss: 4244.0693 - val_mae: 4244.0693 - val_mse: 50304832.0000\n",
            "Epoch 14938/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4003.9504 - mae: 4003.9504 - mse: 43890720.0000 - val_loss: 4243.8257 - val_mae: 4243.8257 - val_mse: 50299088.0000\n",
            "Epoch 14939/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4003.4795 - mae: 4003.4795 - mse: 43884332.0000 - val_loss: 4243.5767 - val_mae: 4243.5767 - val_mse: 50293228.0000\n",
            "Epoch 14940/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4003.0320 - mae: 4003.0320 - mse: 43878776.0000 - val_loss: 4243.3154 - val_mae: 4243.3159 - val_mse: 50287080.0000\n",
            "Epoch 14941/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 4002.5354 - mae: 4002.5354 - mse: 43872136.0000 - val_loss: 4243.0566 - val_mae: 4243.0566 - val_mse: 50280992.0000\n",
            "Epoch 14942/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4002.0625 - mae: 4002.0625 - mse: 43866616.0000 - val_loss: 4242.8027 - val_mae: 4242.8027 - val_mse: 50275008.0000\n",
            "Epoch 14943/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4001.5977 - mae: 4001.5977 - mse: 43860300.0000 - val_loss: 4242.5342 - val_mae: 4242.5342 - val_mse: 50268696.0000\n",
            "Epoch 14944/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 4001.1167 - mae: 4001.1167 - mse: 43853844.0000 - val_loss: 4242.2661 - val_mae: 4242.2661 - val_mse: 50262380.0000\n",
            "Epoch 14945/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 4000.6086 - mae: 4000.6086 - mse: 43847900.0000 - val_loss: 4242.0166 - val_mae: 4242.0166 - val_mse: 50256520.0000\n",
            "Epoch 14946/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 4000.1536 - mae: 4000.1536 - mse: 43841968.0000 - val_loss: 4241.7578 - val_mae: 4241.7578 - val_mse: 50250448.0000\n",
            "Epoch 14947/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3999.6738 - mae: 3999.6738 - mse: 43835392.0000 - val_loss: 4241.4941 - val_mae: 4241.4941 - val_mse: 50244232.0000\n",
            "Epoch 14948/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3999.2004 - mae: 3999.2004 - mse: 43829824.0000 - val_loss: 4241.2314 - val_mae: 4241.2314 - val_mse: 50238060.0000\n",
            "Epoch 14949/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3998.7195 - mae: 3998.7195 - mse: 43823372.0000 - val_loss: 4240.9736 - val_mae: 4240.9736 - val_mse: 50232012.0000\n",
            "Epoch 14950/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3998.2454 - mae: 3998.2454 - mse: 43817924.0000 - val_loss: 4240.7256 - val_mae: 4240.7256 - val_mse: 50226172.0000\n",
            "Epoch 14951/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3997.8015 - mae: 3997.8015 - mse: 43811820.0000 - val_loss: 4240.4663 - val_mae: 4240.4663 - val_mse: 50220076.0000\n",
            "Epoch 14952/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3997.3154 - mae: 3997.3154 - mse: 43805460.0000 - val_loss: 4240.2085 - val_mae: 4240.2085 - val_mse: 50214024.0000\n",
            "Epoch 14953/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3996.8472 - mae: 3996.8472 - mse: 43799444.0000 - val_loss: 4239.9531 - val_mae: 4239.9531 - val_mse: 50208032.0000\n",
            "Epoch 14954/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3996.3806 - mae: 3996.3806 - mse: 43793564.0000 - val_loss: 4239.6875 - val_mae: 4239.6875 - val_mse: 50201800.0000\n",
            "Epoch 14955/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3995.8765 - mae: 3995.8765 - mse: 43787600.0000 - val_loss: 4239.4307 - val_mae: 4239.4307 - val_mse: 50195768.0000\n",
            "Epoch 14956/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3995.4197 - mae: 3995.4197 - mse: 43781388.0000 - val_loss: 4239.1782 - val_mae: 4239.1782 - val_mse: 50189844.0000\n",
            "Epoch 14957/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3994.9661 - mae: 3994.9661 - mse: 43775732.0000 - val_loss: 4238.9268 - val_mae: 4238.9268 - val_mse: 50183940.0000\n",
            "Epoch 14958/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3994.4946 - mae: 3994.4946 - mse: 43769848.0000 - val_loss: 4238.6777 - val_mae: 4238.6777 - val_mse: 50178080.0000\n",
            "Epoch 14959/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3994.0393 - mae: 3994.0393 - mse: 43763980.0000 - val_loss: 4238.4272 - val_mae: 4238.4272 - val_mse: 50172208.0000\n",
            "Epoch 14960/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3993.5823 - mae: 3993.5823 - mse: 43758244.0000 - val_loss: 4238.1724 - val_mae: 4238.1724 - val_mse: 50166236.0000\n",
            "Epoch 14961/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3993.1079 - mae: 3993.1079 - mse: 43752120.0000 - val_loss: 4237.9165 - val_mae: 4237.9165 - val_mse: 50160228.0000\n",
            "Epoch 14962/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3992.6516 - mae: 3992.6516 - mse: 43746200.0000 - val_loss: 4237.6582 - val_mae: 4237.6582 - val_mse: 50154176.0000\n",
            "Epoch 14963/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3992.1765 - mae: 3992.1765 - mse: 43740292.0000 - val_loss: 4237.3999 - val_mae: 4237.3999 - val_mse: 50148116.0000\n",
            "Epoch 14964/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3991.6902 - mae: 3991.6902 - mse: 43733548.0000 - val_loss: 4237.1411 - val_mae: 4237.1411 - val_mse: 50142044.0000\n",
            "Epoch 14965/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3991.2405 - mae: 3991.2405 - mse: 43728064.0000 - val_loss: 4236.8750 - val_mae: 4236.8750 - val_mse: 50135800.0000\n",
            "Epoch 14966/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3990.7561 - mae: 3990.7561 - mse: 43721356.0000 - val_loss: 4236.6138 - val_mae: 4236.6138 - val_mse: 50129672.0000\n",
            "Epoch 14967/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3990.2861 - mae: 3990.2861 - mse: 43715548.0000 - val_loss: 4236.3496 - val_mae: 4236.3496 - val_mse: 50123484.0000\n",
            "Epoch 14968/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3989.8015 - mae: 3989.8015 - mse: 43709280.0000 - val_loss: 4236.0947 - val_mae: 4236.0947 - val_mse: 50117520.0000\n",
            "Epoch 14969/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3989.3494 - mae: 3989.3494 - mse: 43703072.0000 - val_loss: 4235.8379 - val_mae: 4235.8379 - val_mse: 50111492.0000\n",
            "Epoch 14970/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3988.8948 - mae: 3988.8948 - mse: 43697472.0000 - val_loss: 4235.5908 - val_mae: 4235.5908 - val_mse: 50105720.0000\n",
            "Epoch 14971/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3988.4409 - mae: 3988.4409 - mse: 43691540.0000 - val_loss: 4235.3462 - val_mae: 4235.3462 - val_mse: 50099992.0000\n",
            "Epoch 14972/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3987.9890 - mae: 3987.9890 - mse: 43685900.0000 - val_loss: 4235.1011 - val_mae: 4235.1011 - val_mse: 50094252.0000\n",
            "Epoch 14973/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3987.5430 - mae: 3987.5430 - mse: 43680120.0000 - val_loss: 4234.8481 - val_mae: 4234.8481 - val_mse: 50088320.0000\n",
            "Epoch 14974/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3987.0725 - mae: 3987.0725 - mse: 43674376.0000 - val_loss: 4234.5913 - val_mae: 4234.5913 - val_mse: 50082316.0000\n",
            "Epoch 14975/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3986.6279 - mae: 3986.6279 - mse: 43668260.0000 - val_loss: 4234.3306 - val_mae: 4234.3306 - val_mse: 50076220.0000\n",
            "Epoch 14976/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3986.1421 - mae: 3986.1421 - mse: 43662224.0000 - val_loss: 4234.0762 - val_mae: 4234.0762 - val_mse: 50070252.0000\n",
            "Epoch 14977/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3985.6943 - mae: 3985.6943 - mse: 43656236.0000 - val_loss: 4233.8159 - val_mae: 4233.8159 - val_mse: 50064168.0000\n",
            "Epoch 14978/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3985.2058 - mae: 3985.2058 - mse: 43650196.0000 - val_loss: 4233.5571 - val_mae: 4233.5571 - val_mse: 50058108.0000\n",
            "Epoch 14979/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3984.7400 - mae: 3984.7400 - mse: 43644152.0000 - val_loss: 4233.3037 - val_mae: 4233.3037 - val_mse: 50052184.0000\n",
            "Epoch 14980/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3984.3030 - mae: 3984.3030 - mse: 43638404.0000 - val_loss: 4233.0654 - val_mae: 4233.0654 - val_mse: 50046612.0000\n",
            "Epoch 14981/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3983.8684 - mae: 3983.8684 - mse: 43632944.0000 - val_loss: 4232.8169 - val_mae: 4232.8169 - val_mse: 50040804.0000\n",
            "Epoch 14982/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3983.4128 - mae: 3983.4128 - mse: 43627040.0000 - val_loss: 4232.5693 - val_mae: 4232.5693 - val_mse: 50035008.0000\n",
            "Epoch 14983/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3982.9717 - mae: 3982.9717 - mse: 43621240.0000 - val_loss: 4232.3223 - val_mae: 4232.3223 - val_mse: 50029232.0000\n",
            "Epoch 14984/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3982.5090 - mae: 3982.5090 - mse: 43615132.0000 - val_loss: 4232.0791 - val_mae: 4232.0791 - val_mse: 50023548.0000\n",
            "Epoch 14985/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3982.0618 - mae: 3982.0618 - mse: 43609676.0000 - val_loss: 4231.8237 - val_mae: 4231.8237 - val_mse: 50017580.0000\n",
            "Epoch 14986/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3981.5977 - mae: 3981.5977 - mse: 43603764.0000 - val_loss: 4231.5601 - val_mae: 4231.5601 - val_mse: 50011420.0000\n",
            "Epoch 14987/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3981.1296 - mae: 3981.1296 - mse: 43597472.0000 - val_loss: 4231.3003 - val_mae: 4231.3003 - val_mse: 50005348.0000\n",
            "Epoch 14988/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3980.6501 - mae: 3980.6501 - mse: 43591304.0000 - val_loss: 4231.0464 - val_mae: 4231.0464 - val_mse: 49999424.0000\n",
            "Epoch 14989/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3980.2009 - mae: 3980.2009 - mse: 43585644.0000 - val_loss: 4230.7910 - val_mae: 4230.7910 - val_mse: 49993456.0000\n",
            "Epoch 14990/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3979.7583 - mae: 3979.7583 - mse: 43580120.0000 - val_loss: 4230.5513 - val_mae: 4230.5513 - val_mse: 49987844.0000\n",
            "Epoch 14991/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3979.3186 - mae: 3979.3186 - mse: 43574172.0000 - val_loss: 4230.3149 - val_mae: 4230.3149 - val_mse: 49982336.0000\n",
            "Epoch 14992/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3978.8816 - mae: 3978.8816 - mse: 43568412.0000 - val_loss: 4230.0669 - val_mae: 4230.0669 - val_mse: 49976540.0000\n",
            "Epoch 14993/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3978.4363 - mae: 3978.4363 - mse: 43562916.0000 - val_loss: 4229.8159 - val_mae: 4229.8159 - val_mse: 49970688.0000\n",
            "Epoch 14994/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3977.9661 - mae: 3977.9661 - mse: 43556800.0000 - val_loss: 4229.5728 - val_mae: 4229.5728 - val_mse: 49965016.0000\n",
            "Epoch 14995/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3977.5427 - mae: 3977.5427 - mse: 43551184.0000 - val_loss: 4229.3394 - val_mae: 4229.3394 - val_mse: 49959560.0000\n",
            "Epoch 14996/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3977.1177 - mae: 3977.1177 - mse: 43545928.0000 - val_loss: 4229.0898 - val_mae: 4229.0898 - val_mse: 49953748.0000\n",
            "Epoch 14997/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3976.6665 - mae: 3976.6665 - mse: 43539860.0000 - val_loss: 4228.8447 - val_mae: 4228.8447 - val_mse: 49948024.0000\n",
            "Epoch 14998/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3976.2173 - mae: 3976.2173 - mse: 43534332.0000 - val_loss: 4228.5947 - val_mae: 4228.5947 - val_mse: 49942196.0000\n",
            "Epoch 14999/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 3975.7644 - mae: 3975.7644 - mse: 43528336.0000 - val_loss: 4228.3413 - val_mae: 4228.3413 - val_mse: 49936280.0000\n",
            "Epoch 15000/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 3975.3098 - mae: 3975.3098 - mse: 43522768.0000 - val_loss: 4228.0928 - val_mae: 4228.0928 - val_mse: 49930496.0000\n",
            "Epoch 15001/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3974.8567 - mae: 3974.8567 - mse: 43517132.0000 - val_loss: 4227.8521 - val_mae: 4227.8521 - val_mse: 49924876.0000\n",
            "Epoch 15002/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3974.4233 - mae: 3974.4233 - mse: 43511216.0000 - val_loss: 4227.6104 - val_mae: 4227.6104 - val_mse: 49919240.0000\n",
            "Epoch 15003/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3973.9749 - mae: 3973.9749 - mse: 43505340.0000 - val_loss: 4227.3560 - val_mae: 4227.3560 - val_mse: 49913316.0000\n",
            "Epoch 15004/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3973.5100 - mae: 3973.5100 - mse: 43499896.0000 - val_loss: 4227.0938 - val_mae: 4227.0938 - val_mse: 49907196.0000\n",
            "Epoch 15005/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3973.0342 - mae: 3973.0342 - mse: 43493208.0000 - val_loss: 4226.8232 - val_mae: 4226.8232 - val_mse: 49900900.0000\n",
            "Epoch 15006/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3972.5408 - mae: 3972.5408 - mse: 43487292.0000 - val_loss: 4226.5635 - val_mae: 4226.5635 - val_mse: 49894836.0000\n",
            "Epoch 15007/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3972.0823 - mae: 3972.0823 - mse: 43481264.0000 - val_loss: 4226.2988 - val_mae: 4226.2988 - val_mse: 49888688.0000\n",
            "Epoch 15008/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3971.6133 - mae: 3971.6133 - mse: 43475168.0000 - val_loss: 4226.0415 - val_mae: 4226.0415 - val_mse: 49882692.0000\n",
            "Epoch 15009/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3971.1306 - mae: 3971.1306 - mse: 43469300.0000 - val_loss: 4225.7817 - val_mae: 4225.7817 - val_mse: 49876640.0000\n",
            "Epoch 15010/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3970.6550 - mae: 3970.6550 - mse: 43462860.0000 - val_loss: 4225.5229 - val_mae: 4225.5229 - val_mse: 49870616.0000\n",
            "Epoch 15011/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3970.1895 - mae: 3970.1895 - mse: 43456972.0000 - val_loss: 4225.2559 - val_mae: 4225.2559 - val_mse: 49864400.0000\n",
            "Epoch 15012/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3969.7031 - mae: 3969.7031 - mse: 43450508.0000 - val_loss: 4224.9976 - val_mae: 4224.9976 - val_mse: 49858384.0000\n",
            "Epoch 15013/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3969.2529 - mae: 3969.2529 - mse: 43445152.0000 - val_loss: 4224.7368 - val_mae: 4224.7368 - val_mse: 49852312.0000\n",
            "Epoch 15014/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3968.7729 - mae: 3968.7729 - mse: 43438656.0000 - val_loss: 4224.4766 - val_mae: 4224.4766 - val_mse: 49846264.0000\n",
            "Epoch 15015/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3968.2957 - mae: 3968.2957 - mse: 43432428.0000 - val_loss: 4224.2188 - val_mae: 4224.2188 - val_mse: 49840260.0000\n",
            "Epoch 15016/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3967.8167 - mae: 3967.8167 - mse: 43426368.0000 - val_loss: 4223.9521 - val_mae: 4223.9521 - val_mse: 49834048.0000\n",
            "Epoch 15017/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3967.3372 - mae: 3967.3372 - mse: 43419988.0000 - val_loss: 4223.6812 - val_mae: 4223.6812 - val_mse: 49827756.0000\n",
            "Epoch 15018/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3966.8606 - mae: 3966.8606 - mse: 43414176.0000 - val_loss: 4223.4106 - val_mae: 4223.4106 - val_mse: 49821480.0000\n",
            "Epoch 15019/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3966.3730 - mae: 3966.3730 - mse: 43408492.0000 - val_loss: 4223.1460 - val_mae: 4223.1460 - val_mse: 49815316.0000\n",
            "Epoch 15020/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3965.8926 - mae: 3965.8926 - mse: 43401892.0000 - val_loss: 4222.8945 - val_mae: 4222.8945 - val_mse: 49809476.0000\n",
            "Epoch 15021/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3965.4421 - mae: 3965.4421 - mse: 43396156.0000 - val_loss: 4222.6460 - val_mae: 4222.6460 - val_mse: 49803704.0000\n",
            "Epoch 15022/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3964.9856 - mae: 3964.9856 - mse: 43390232.0000 - val_loss: 4222.3950 - val_mae: 4222.3950 - val_mse: 49797856.0000\n",
            "Epoch 15023/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3964.5361 - mae: 3964.5361 - mse: 43384476.0000 - val_loss: 4222.1357 - val_mae: 4222.1357 - val_mse: 49791832.0000\n",
            "Epoch 15024/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3964.0603 - mae: 3964.0603 - mse: 43378496.0000 - val_loss: 4221.8770 - val_mae: 4221.8770 - val_mse: 49785836.0000\n",
            "Epoch 15025/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3963.5972 - mae: 3963.5972 - mse: 43372072.0000 - val_loss: 4221.6182 - val_mae: 4221.6182 - val_mse: 49779824.0000\n",
            "Epoch 15026/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3963.1453 - mae: 3963.1453 - mse: 43366016.0000 - val_loss: 4221.3623 - val_mae: 4221.3623 - val_mse: 49773876.0000\n",
            "Epoch 15027/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3962.7039 - mae: 3962.7039 - mse: 43360384.0000 - val_loss: 4221.1182 - val_mae: 4221.1182 - val_mse: 49768204.0000\n",
            "Epoch 15028/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3962.2661 - mae: 3962.2661 - mse: 43354900.0000 - val_loss: 4220.8784 - val_mae: 4220.8784 - val_mse: 49762644.0000\n",
            "Epoch 15029/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3961.8479 - mae: 3961.8479 - mse: 43349424.0000 - val_loss: 4220.6411 - val_mae: 4220.6411 - val_mse: 49757136.0000\n",
            "Epoch 15030/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3961.4224 - mae: 3961.4224 - mse: 43343672.0000 - val_loss: 4220.3960 - val_mae: 4220.3960 - val_mse: 49751440.0000\n",
            "Epoch 15031/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3960.9829 - mae: 3960.9829 - mse: 43337904.0000 - val_loss: 4220.1460 - val_mae: 4220.1460 - val_mse: 49745644.0000\n",
            "Epoch 15032/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3960.5305 - mae: 3960.5305 - mse: 43332484.0000 - val_loss: 4219.8911 - val_mae: 4219.8911 - val_mse: 49739728.0000\n",
            "Epoch 15033/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3960.0774 - mae: 3960.0774 - mse: 43326408.0000 - val_loss: 4219.6436 - val_mae: 4219.6436 - val_mse: 49733992.0000\n",
            "Epoch 15034/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3959.6340 - mae: 3959.6340 - mse: 43320568.0000 - val_loss: 4219.3833 - val_mae: 4219.3833 - val_mse: 49727956.0000\n",
            "Epoch 15035/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3959.1738 - mae: 3959.1738 - mse: 43314380.0000 - val_loss: 4219.1191 - val_mae: 4219.1191 - val_mse: 49721812.0000\n",
            "Epoch 15036/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3958.6924 - mae: 3958.6924 - mse: 43308260.0000 - val_loss: 4218.8604 - val_mae: 4218.8604 - val_mse: 49715824.0000\n",
            "Epoch 15037/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3958.2419 - mae: 3958.2419 - mse: 43302248.0000 - val_loss: 4218.5913 - val_mae: 4218.5913 - val_mse: 49709604.0000\n",
            "Epoch 15038/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3957.7766 - mae: 3957.7766 - mse: 43296028.0000 - val_loss: 4218.3232 - val_mae: 4218.3232 - val_mse: 49703368.0000\n",
            "Epoch 15039/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3957.2893 - mae: 3957.2893 - mse: 43289736.0000 - val_loss: 4218.0635 - val_mae: 4218.0635 - val_mse: 49697348.0000\n",
            "Epoch 15040/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3956.8479 - mae: 3956.8479 - mse: 43283952.0000 - val_loss: 4217.8057 - val_mae: 4217.8057 - val_mse: 49691372.0000\n",
            "Epoch 15041/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3956.3994 - mae: 3956.3994 - mse: 43278280.0000 - val_loss: 4217.5596 - val_mae: 4217.5596 - val_mse: 49685672.0000\n",
            "Epoch 15042/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3955.9470 - mae: 3955.9470 - mse: 43272368.0000 - val_loss: 4217.3208 - val_mae: 4217.3208 - val_mse: 49680152.0000\n",
            "Epoch 15043/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3955.5225 - mae: 3955.5225 - mse: 43266680.0000 - val_loss: 4217.0718 - val_mae: 4217.0718 - val_mse: 49674372.0000\n",
            "Epoch 15044/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3955.0916 - mae: 3955.0916 - mse: 43261372.0000 - val_loss: 4216.8223 - val_mae: 4216.8223 - val_mse: 49668600.0000\n",
            "Epoch 15045/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3954.6436 - mae: 3954.6436 - mse: 43255396.0000 - val_loss: 4216.5776 - val_mae: 4216.5776 - val_mse: 49662940.0000\n",
            "Epoch 15046/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3954.2175 - mae: 3954.2175 - mse: 43249656.0000 - val_loss: 4216.3335 - val_mae: 4216.3335 - val_mse: 49657288.0000\n",
            "Epoch 15047/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3953.7825 - mae: 3953.7825 - mse: 43244372.0000 - val_loss: 4216.0913 - val_mae: 4216.0913 - val_mse: 49651684.0000\n",
            "Epoch 15048/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3953.3464 - mae: 3953.3464 - mse: 43238096.0000 - val_loss: 4215.8428 - val_mae: 4215.8428 - val_mse: 49645924.0000\n",
            "Epoch 15049/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3952.8972 - mae: 3952.8972 - mse: 43232420.0000 - val_loss: 4215.5923 - val_mae: 4215.5923 - val_mse: 49640124.0000\n",
            "Epoch 15050/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3952.4519 - mae: 3952.4519 - mse: 43226904.0000 - val_loss: 4215.3364 - val_mae: 4215.3364 - val_mse: 49634216.0000\n",
            "Epoch 15051/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3952.0129 - mae: 3952.0129 - mse: 43221132.0000 - val_loss: 4215.0859 - val_mae: 4215.0859 - val_mse: 49628424.0000\n",
            "Epoch 15052/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3951.5732 - mae: 3951.5732 - mse: 43215376.0000 - val_loss: 4214.8423 - val_mae: 4214.8423 - val_mse: 49622768.0000\n",
            "Epoch 15053/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3951.1360 - mae: 3951.1360 - mse: 43209368.0000 - val_loss: 4214.5947 - val_mae: 4214.5947 - val_mse: 49617056.0000\n",
            "Epoch 15054/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3950.6931 - mae: 3950.6931 - mse: 43203732.0000 - val_loss: 4214.3403 - val_mae: 4214.3403 - val_mse: 49611172.0000\n",
            "Epoch 15055/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3950.2378 - mae: 3950.2378 - mse: 43197804.0000 - val_loss: 4214.0879 - val_mae: 4214.0879 - val_mse: 49605332.0000\n",
            "Epoch 15056/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3949.7915 - mae: 3949.7915 - mse: 43192068.0000 - val_loss: 4213.8311 - val_mae: 4213.8311 - val_mse: 49599400.0000\n",
            "Epoch 15057/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3949.3389 - mae: 3949.3389 - mse: 43185896.0000 - val_loss: 4213.5679 - val_mae: 4213.5679 - val_mse: 49593312.0000\n",
            "Epoch 15058/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3948.8765 - mae: 3948.8765 - mse: 43180116.0000 - val_loss: 4213.3110 - val_mae: 4213.3105 - val_mse: 49587372.0000\n",
            "Epoch 15059/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3948.4084 - mae: 3948.4084 - mse: 43174152.0000 - val_loss: 4213.0576 - val_mae: 4213.0576 - val_mse: 49581532.0000\n",
            "Epoch 15060/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3947.9565 - mae: 3947.9565 - mse: 43168064.0000 - val_loss: 4212.7959 - val_mae: 4212.7959 - val_mse: 49575472.0000\n",
            "Epoch 15061/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3947.4910 - mae: 3947.4910 - mse: 43161928.0000 - val_loss: 4212.5200 - val_mae: 4212.5200 - val_mse: 49569112.0000\n",
            "Epoch 15062/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3947.0039 - mae: 3947.0039 - mse: 43155760.0000 - val_loss: 4212.2637 - val_mae: 4212.2637 - val_mse: 49563188.0000\n",
            "Epoch 15063/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3946.5698 - mae: 3946.5698 - mse: 43149932.0000 - val_loss: 4212.0181 - val_mae: 4212.0181 - val_mse: 49557524.0000\n",
            "Epoch 15064/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3946.1350 - mae: 3946.1350 - mse: 43144880.0000 - val_loss: 4211.7686 - val_mae: 4211.7686 - val_mse: 49551760.0000\n",
            "Epoch 15065/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3945.6924 - mae: 3945.6924 - mse: 43138812.0000 - val_loss: 4211.5234 - val_mae: 4211.5234 - val_mse: 49546096.0000\n",
            "Epoch 15066/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3945.2500 - mae: 3945.2500 - mse: 43133180.0000 - val_loss: 4211.2788 - val_mae: 4211.2788 - val_mse: 49540460.0000\n",
            "Epoch 15067/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3944.8137 - mae: 3944.8137 - mse: 43127200.0000 - val_loss: 4211.0337 - val_mae: 4211.0337 - val_mse: 49534796.0000\n",
            "Epoch 15068/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3944.3823 - mae: 3944.3823 - mse: 43121608.0000 - val_loss: 4210.7979 - val_mae: 4210.7979 - val_mse: 49529352.0000\n",
            "Epoch 15069/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3943.9631 - mae: 3943.9631 - mse: 43116440.0000 - val_loss: 4210.5474 - val_mae: 4210.5474 - val_mse: 49523580.0000\n",
            "Epoch 15070/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3943.5090 - mae: 3943.5090 - mse: 43110344.0000 - val_loss: 4210.2939 - val_mae: 4210.2939 - val_mse: 49517736.0000\n",
            "Epoch 15071/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3943.0671 - mae: 3943.0671 - mse: 43104404.0000 - val_loss: 4210.0269 - val_mae: 4210.0269 - val_mse: 49511576.0000\n",
            "Epoch 15072/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3942.5837 - mae: 3942.5837 - mse: 43098488.0000 - val_loss: 4209.7598 - val_mae: 4209.7598 - val_mse: 49505412.0000\n",
            "Epoch 15073/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3942.1067 - mae: 3942.1067 - mse: 43092180.0000 - val_loss: 4209.5010 - val_mae: 4209.5010 - val_mse: 49499436.0000\n",
            "Epoch 15074/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3941.6421 - mae: 3941.6421 - mse: 43086032.0000 - val_loss: 4209.2427 - val_mae: 4209.2427 - val_mse: 49493500.0000\n",
            "Epoch 15075/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3941.2146 - mae: 3941.2146 - mse: 43080104.0000 - val_loss: 4208.9678 - val_mae: 4208.9678 - val_mse: 49487152.0000\n",
            "Epoch 15076/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3940.7087 - mae: 3940.7087 - mse: 43074032.0000 - val_loss: 4208.7056 - val_mae: 4208.7056 - val_mse: 49481108.0000\n",
            "Epoch 15077/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3940.2610 - mae: 3940.2610 - mse: 43068108.0000 - val_loss: 4208.4629 - val_mae: 4208.4629 - val_mse: 49475520.0000\n",
            "Epoch 15078/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3939.8232 - mae: 3939.8232 - mse: 43062356.0000 - val_loss: 4208.2314 - val_mae: 4208.2314 - val_mse: 49470188.0000\n",
            "Epoch 15079/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3939.3960 - mae: 3939.3960 - mse: 43056932.0000 - val_loss: 4207.9873 - val_mae: 4207.9873 - val_mse: 49464576.0000\n",
            "Epoch 15080/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3938.9717 - mae: 3938.9717 - mse: 43051440.0000 - val_loss: 4207.7402 - val_mae: 4207.7402 - val_mse: 49458892.0000\n",
            "Epoch 15081/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3938.5442 - mae: 3938.5442 - mse: 43045752.0000 - val_loss: 4207.4868 - val_mae: 4207.4868 - val_mse: 49453048.0000\n",
            "Epoch 15082/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3938.0828 - mae: 3938.0828 - mse: 43039780.0000 - val_loss: 4207.2266 - val_mae: 4207.2266 - val_mse: 49447048.0000\n",
            "Epoch 15083/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3937.6211 - mae: 3937.6211 - mse: 43033592.0000 - val_loss: 4206.9595 - val_mae: 4206.9595 - val_mse: 49440908.0000\n",
            "Epoch 15084/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 3937.1453 - mae: 3937.1453 - mse: 43027660.0000 - val_loss: 4206.7104 - val_mae: 4206.7109 - val_mse: 49435180.0000\n",
            "Epoch 15085/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3936.7087 - mae: 3936.7087 - mse: 43022512.0000 - val_loss: 4206.4507 - val_mae: 4206.4507 - val_mse: 49429192.0000\n",
            "Epoch 15086/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3936.2556 - mae: 3936.2556 - mse: 43015988.0000 - val_loss: 4206.1855 - val_mae: 4206.1855 - val_mse: 49423096.0000\n",
            "Epoch 15087/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3935.7930 - mae: 3935.7930 - mse: 43010580.0000 - val_loss: 4205.9219 - val_mae: 4205.9219 - val_mse: 49417028.0000\n",
            "Epoch 15088/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3935.3208 - mae: 3935.3208 - mse: 43003808.0000 - val_loss: 4205.6631 - val_mae: 4205.6631 - val_mse: 49411092.0000\n",
            "Epoch 15089/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3934.8564 - mae: 3934.8564 - mse: 42998092.0000 - val_loss: 4205.4067 - val_mae: 4205.4067 - val_mse: 49405180.0000\n",
            "Epoch 15090/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3934.3796 - mae: 3934.3796 - mse: 42991552.0000 - val_loss: 4205.1406 - val_mae: 4205.1406 - val_mse: 49399072.0000\n",
            "Epoch 15091/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3933.9285 - mae: 3933.9285 - mse: 42985820.0000 - val_loss: 4204.8682 - val_mae: 4204.8682 - val_mse: 49392804.0000\n",
            "Epoch 15092/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3933.4463 - mae: 3933.4463 - mse: 42979524.0000 - val_loss: 4204.6118 - val_mae: 4204.6118 - val_mse: 49386916.0000\n",
            "Epoch 15093/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3933.0095 - mae: 3933.0095 - mse: 42973892.0000 - val_loss: 4204.3828 - val_mae: 4204.3828 - val_mse: 49381640.0000\n",
            "Epoch 15094/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3932.5967 - mae: 3932.5967 - mse: 42968724.0000 - val_loss: 4204.1470 - val_mae: 4204.1470 - val_mse: 49376240.0000\n",
            "Epoch 15095/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3932.1609 - mae: 3932.1609 - mse: 42963120.0000 - val_loss: 4203.8994 - val_mae: 4203.8994 - val_mse: 49370544.0000\n",
            "Epoch 15096/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3931.7249 - mae: 3931.7249 - mse: 42957784.0000 - val_loss: 4203.6387 - val_mae: 4203.6387 - val_mse: 49364548.0000\n",
            "Epoch 15097/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3931.2600 - mae: 3931.2600 - mse: 42951088.0000 - val_loss: 4203.3789 - val_mae: 4203.3789 - val_mse: 49358576.0000\n",
            "Epoch 15098/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3930.8035 - mae: 3930.8035 - mse: 42945224.0000 - val_loss: 4203.1191 - val_mae: 4203.1191 - val_mse: 49352624.0000\n",
            "Epoch 15099/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3930.3423 - mae: 3930.3423 - mse: 42939528.0000 - val_loss: 4202.8760 - val_mae: 4202.8760 - val_mse: 49347036.0000\n",
            "Epoch 15100/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3929.8960 - mae: 3929.8960 - mse: 42933892.0000 - val_loss: 4202.6250 - val_mae: 4202.6250 - val_mse: 49341284.0000\n",
            "Epoch 15101/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3929.4612 - mae: 3929.4612 - mse: 42928276.0000 - val_loss: 4202.3628 - val_mae: 4202.3628 - val_mse: 49335260.0000\n",
            "Epoch 15102/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3929.0054 - mae: 3929.0054 - mse: 42922360.0000 - val_loss: 4202.1060 - val_mae: 4202.1060 - val_mse: 49329360.0000\n",
            "Epoch 15103/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3928.5549 - mae: 3928.5549 - mse: 42916404.0000 - val_loss: 4201.8584 - val_mae: 4201.8584 - val_mse: 49323684.0000\n",
            "Epoch 15104/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3928.1277 - mae: 3928.1277 - mse: 42910908.0000 - val_loss: 4201.6099 - val_mae: 4201.6099 - val_mse: 49317980.0000\n",
            "Epoch 15105/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3927.6775 - mae: 3927.6775 - mse: 42904996.0000 - val_loss: 4201.3589 - val_mae: 4201.3594 - val_mse: 49312236.0000\n",
            "Epoch 15106/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3927.2161 - mae: 3927.2161 - mse: 42898704.0000 - val_loss: 4201.1040 - val_mae: 4201.1040 - val_mse: 49306380.0000\n",
            "Epoch 15107/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3926.7834 - mae: 3926.7834 - mse: 42893448.0000 - val_loss: 4200.8433 - val_mae: 4200.8433 - val_mse: 49300408.0000\n",
            "Epoch 15108/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3926.3198 - mae: 3926.3198 - mse: 42887300.0000 - val_loss: 4200.5869 - val_mae: 4200.5869 - val_mse: 49294524.0000\n",
            "Epoch 15109/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3925.8853 - mae: 3925.8853 - mse: 42881440.0000 - val_loss: 4200.3296 - val_mae: 4200.3296 - val_mse: 49288616.0000\n",
            "Epoch 15110/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3925.4260 - mae: 3925.4260 - mse: 42875440.0000 - val_loss: 4200.0771 - val_mae: 4200.0771 - val_mse: 49282836.0000\n",
            "Epoch 15111/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3924.9871 - mae: 3924.9871 - mse: 42869688.0000 - val_loss: 4199.8291 - val_mae: 4199.8291 - val_mse: 49277152.0000\n",
            "Epoch 15112/16000\n",
            "6/6 [==============================] - 0s 14ms/step - loss: 3924.5447 - mae: 3924.5447 - mse: 42864020.0000 - val_loss: 4199.5845 - val_mae: 4199.5845 - val_mse: 49271552.0000\n",
            "Epoch 15113/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3924.1279 - mae: 3924.1279 - mse: 42858428.0000 - val_loss: 4199.3306 - val_mae: 4199.3306 - val_mse: 49265728.0000\n",
            "Epoch 15114/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3923.6880 - mae: 3923.6880 - mse: 42852744.0000 - val_loss: 4199.0825 - val_mae: 4199.0825 - val_mse: 49260044.0000\n",
            "Epoch 15115/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3923.2539 - mae: 3923.2539 - mse: 42846700.0000 - val_loss: 4198.8535 - val_mae: 4198.8535 - val_mse: 49254796.0000\n",
            "Epoch 15116/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3922.8599 - mae: 3922.8599 - mse: 42842052.0000 - val_loss: 4198.6050 - val_mae: 4198.6050 - val_mse: 49249124.0000\n",
            "Epoch 15117/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3922.4036 - mae: 3922.4036 - mse: 42835940.0000 - val_loss: 4198.3584 - val_mae: 4198.3584 - val_mse: 49243460.0000\n",
            "Epoch 15118/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3921.9646 - mae: 3921.9646 - mse: 42830268.0000 - val_loss: 4198.1045 - val_mae: 4198.1045 - val_mse: 49237660.0000\n",
            "Epoch 15119/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3921.5232 - mae: 3921.5232 - mse: 42824448.0000 - val_loss: 4197.8462 - val_mae: 4197.8462 - val_mse: 49231756.0000\n",
            "Epoch 15120/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3921.0713 - mae: 3921.0713 - mse: 42818796.0000 - val_loss: 4197.5923 - val_mae: 4197.5923 - val_mse: 49225940.0000\n",
            "Epoch 15121/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3920.6326 - mae: 3920.6326 - mse: 42812924.0000 - val_loss: 4197.3374 - val_mae: 4197.3374 - val_mse: 49220104.0000\n",
            "Epoch 15122/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3920.2019 - mae: 3920.2019 - mse: 42807416.0000 - val_loss: 4197.0801 - val_mae: 4197.0801 - val_mse: 49214216.0000\n",
            "Epoch 15123/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3919.7400 - mae: 3919.7400 - mse: 42800924.0000 - val_loss: 4196.8301 - val_mae: 4196.8301 - val_mse: 49208508.0000\n",
            "Epoch 15124/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3919.2903 - mae: 3919.2903 - mse: 42795324.0000 - val_loss: 4196.5757 - val_mae: 4196.5757 - val_mse: 49202688.0000\n",
            "Epoch 15125/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3918.8511 - mae: 3918.8511 - mse: 42789460.0000 - val_loss: 4196.3188 - val_mae: 4196.3188 - val_mse: 49196812.0000\n",
            "Epoch 15126/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3918.4185 - mae: 3918.4185 - mse: 42783824.0000 - val_loss: 4196.0654 - val_mae: 4196.0654 - val_mse: 49191016.0000\n",
            "Epoch 15127/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3917.9905 - mae: 3917.9905 - mse: 42778308.0000 - val_loss: 4195.8223 - val_mae: 4195.8223 - val_mse: 49185456.0000\n",
            "Epoch 15128/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3917.5542 - mae: 3917.5542 - mse: 42772344.0000 - val_loss: 4195.6045 - val_mae: 4195.6045 - val_mse: 49180480.0000\n",
            "Epoch 15129/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3917.1685 - mae: 3917.1685 - mse: 42767368.0000 - val_loss: 4195.3604 - val_mae: 4195.3604 - val_mse: 49174908.0000\n",
            "Epoch 15130/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3916.7349 - mae: 3916.7349 - mse: 42761792.0000 - val_loss: 4195.1079 - val_mae: 4195.1079 - val_mse: 49169128.0000\n",
            "Epoch 15131/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3916.2866 - mae: 3916.2866 - mse: 42755928.0000 - val_loss: 4194.8501 - val_mae: 4194.8501 - val_mse: 49163240.0000\n",
            "Epoch 15132/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3915.8442 - mae: 3915.8442 - mse: 42749916.0000 - val_loss: 4194.6021 - val_mae: 4194.6021 - val_mse: 49157572.0000\n",
            "Epoch 15133/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3915.4238 - mae: 3915.4238 - mse: 42744768.0000 - val_loss: 4194.3574 - val_mae: 4194.3574 - val_mse: 49151988.0000\n",
            "Epoch 15134/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3914.9971 - mae: 3914.9971 - mse: 42739016.0000 - val_loss: 4194.1172 - val_mae: 4194.1172 - val_mse: 49146496.0000\n",
            "Epoch 15135/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3914.5664 - mae: 3914.5664 - mse: 42733488.0000 - val_loss: 4193.8691 - val_mae: 4193.8691 - val_mse: 49140844.0000\n",
            "Epoch 15136/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3914.1326 - mae: 3914.1326 - mse: 42727932.0000 - val_loss: 4193.6309 - val_mae: 4193.6309 - val_mse: 49135408.0000\n",
            "Epoch 15137/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3913.7175 - mae: 3913.7175 - mse: 42722588.0000 - val_loss: 4193.3784 - val_mae: 4193.3784 - val_mse: 49129636.0000\n",
            "Epoch 15138/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3913.2725 - mae: 3913.2725 - mse: 42716340.0000 - val_loss: 4193.1260 - val_mae: 4193.1260 - val_mse: 49123876.0000\n",
            "Epoch 15139/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3912.8267 - mae: 3912.8267 - mse: 42710544.0000 - val_loss: 4192.8882 - val_mae: 4192.8882 - val_mse: 49118444.0000\n",
            "Epoch 15140/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3912.4177 - mae: 3912.4177 - mse: 42705472.0000 - val_loss: 4192.6431 - val_mae: 4192.6431 - val_mse: 49112852.0000\n",
            "Epoch 15141/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3911.9849 - mae: 3911.9849 - mse: 42699520.0000 - val_loss: 4192.3926 - val_mae: 4192.3926 - val_mse: 49107144.0000\n",
            "Epoch 15142/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3911.5396 - mae: 3911.5396 - mse: 42694140.0000 - val_loss: 4192.1313 - val_mae: 4192.1313 - val_mse: 49101192.0000\n",
            "Epoch 15143/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3911.0862 - mae: 3911.0862 - mse: 42687820.0000 - val_loss: 4191.8765 - val_mae: 4191.8765 - val_mse: 49095380.0000\n",
            "Epoch 15144/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3910.6399 - mae: 3910.6399 - mse: 42682076.0000 - val_loss: 4191.6201 - val_mae: 4191.6201 - val_mse: 49089528.0000\n",
            "Epoch 15145/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3910.1965 - mae: 3910.1965 - mse: 42676232.0000 - val_loss: 4191.3774 - val_mae: 4191.3770 - val_mse: 49083992.0000\n",
            "Epoch 15146/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3909.7617 - mae: 3909.7617 - mse: 42670776.0000 - val_loss: 4191.1265 - val_mae: 4191.1260 - val_mse: 49078272.0000\n",
            "Epoch 15147/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3909.3206 - mae: 3909.3206 - mse: 42665152.0000 - val_loss: 4190.8721 - val_mae: 4190.8721 - val_mse: 49072480.0000\n",
            "Epoch 15148/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3908.8621 - mae: 3908.8621 - mse: 42659024.0000 - val_loss: 4190.6084 - val_mae: 4190.6084 - val_mse: 49066476.0000\n",
            "Epoch 15149/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3908.4231 - mae: 3908.4231 - mse: 42653292.0000 - val_loss: 4190.3521 - val_mae: 4190.3521 - val_mse: 49060628.0000\n",
            "Epoch 15150/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3907.9849 - mae: 3907.9849 - mse: 42647264.0000 - val_loss: 4190.1104 - val_mae: 4190.1104 - val_mse: 49055120.0000\n",
            "Epoch 15151/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3907.5374 - mae: 3907.5374 - mse: 42641696.0000 - val_loss: 4189.8696 - val_mae: 4189.8696 - val_mse: 49049648.0000\n",
            "Epoch 15152/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3907.1304 - mae: 3907.1304 - mse: 42636480.0000 - val_loss: 4189.6113 - val_mae: 4189.6113 - val_mse: 49043764.0000\n",
            "Epoch 15153/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3906.6785 - mae: 3906.6785 - mse: 42630360.0000 - val_loss: 4189.3481 - val_mae: 4189.3481 - val_mse: 49037772.0000\n",
            "Epoch 15154/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3906.2261 - mae: 3906.2261 - mse: 42624888.0000 - val_loss: 4189.1089 - val_mae: 4189.1089 - val_mse: 49032332.0000\n",
            "Epoch 15155/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3905.8164 - mae: 3905.8164 - mse: 42619452.0000 - val_loss: 4188.8706 - val_mae: 4188.8706 - val_mse: 49026896.0000\n",
            "Epoch 15156/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3905.3899 - mae: 3905.3899 - mse: 42613884.0000 - val_loss: 4188.6343 - val_mae: 4188.6343 - val_mse: 49021520.0000\n",
            "Epoch 15157/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3904.9744 - mae: 3904.9744 - mse: 42608304.0000 - val_loss: 4188.3979 - val_mae: 4188.3979 - val_mse: 49016152.0000\n",
            "Epoch 15158/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3904.5557 - mae: 3904.5557 - mse: 42603024.0000 - val_loss: 4188.1455 - val_mae: 4188.1455 - val_mse: 49010412.0000\n",
            "Epoch 15159/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3904.1121 - mae: 3904.1121 - mse: 42596912.0000 - val_loss: 4187.8892 - val_mae: 4187.8892 - val_mse: 49004576.0000\n",
            "Epoch 15160/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3903.6711 - mae: 3903.6711 - mse: 42591356.0000 - val_loss: 4187.6328 - val_mae: 4187.6328 - val_mse: 48998744.0000\n",
            "Epoch 15161/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3903.2168 - mae: 3903.2168 - mse: 42585616.0000 - val_loss: 4187.3882 - val_mae: 4187.3882 - val_mse: 48993188.0000\n",
            "Epoch 15162/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3902.7854 - mae: 3902.7854 - mse: 42579856.0000 - val_loss: 4187.1406 - val_mae: 4187.1406 - val_mse: 48987540.0000\n",
            "Epoch 15163/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3902.3459 - mae: 3902.3459 - mse: 42574260.0000 - val_loss: 4186.8877 - val_mae: 4186.8877 - val_mse: 48981804.0000\n",
            "Epoch 15164/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3901.9043 - mae: 3901.9043 - mse: 42568228.0000 - val_loss: 4186.6226 - val_mae: 4186.6226 - val_mse: 48975772.0000\n",
            "Epoch 15165/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3901.4299 - mae: 3901.4299 - mse: 42562268.0000 - val_loss: 4186.3604 - val_mae: 4186.3604 - val_mse: 48969812.0000\n",
            "Epoch 15166/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3900.9832 - mae: 3900.9832 - mse: 42556592.0000 - val_loss: 4186.0967 - val_mae: 4186.0967 - val_mse: 48963832.0000\n",
            "Epoch 15167/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3900.5298 - mae: 3900.5298 - mse: 42550728.0000 - val_loss: 4185.8403 - val_mae: 4185.8403 - val_mse: 48958012.0000\n",
            "Epoch 15168/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3900.0759 - mae: 3900.0759 - mse: 42544572.0000 - val_loss: 4185.5923 - val_mae: 4185.5923 - val_mse: 48952376.0000\n",
            "Epoch 15169/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3899.6394 - mae: 3899.6394 - mse: 42539012.0000 - val_loss: 4185.3325 - val_mae: 4185.3325 - val_mse: 48946468.0000\n",
            "Epoch 15170/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3899.1863 - mae: 3899.1863 - mse: 42532900.0000 - val_loss: 4185.0654 - val_mae: 4185.0654 - val_mse: 48940408.0000\n",
            "Epoch 15171/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3898.7332 - mae: 3898.7332 - mse: 42527056.0000 - val_loss: 4184.8003 - val_mae: 4184.8003 - val_mse: 48934392.0000\n",
            "Epoch 15172/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3898.2695 - mae: 3898.2695 - mse: 42521084.0000 - val_loss: 4184.5615 - val_mae: 4184.5615 - val_mse: 48928964.0000\n",
            "Epoch 15173/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3897.8472 - mae: 3897.8472 - mse: 42515448.0000 - val_loss: 4184.3193 - val_mae: 4184.3193 - val_mse: 48923468.0000\n",
            "Epoch 15174/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3897.4260 - mae: 3897.4260 - mse: 42510048.0000 - val_loss: 4184.0620 - val_mae: 4184.0620 - val_mse: 48917636.0000\n",
            "Epoch 15175/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3896.9587 - mae: 3896.9587 - mse: 42503728.0000 - val_loss: 4183.8027 - val_mae: 4183.8027 - val_mse: 48911752.0000\n",
            "Epoch 15176/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3896.5298 - mae: 3896.5298 - mse: 42498292.0000 - val_loss: 4183.5596 - val_mae: 4183.5596 - val_mse: 48906228.0000\n",
            "Epoch 15177/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3896.0942 - mae: 3896.0942 - mse: 42492824.0000 - val_loss: 4183.3149 - val_mae: 4183.3149 - val_mse: 48900692.0000\n",
            "Epoch 15178/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3895.6760 - mae: 3895.6760 - mse: 42487452.0000 - val_loss: 4183.0693 - val_mae: 4183.0693 - val_mse: 48895120.0000\n",
            "Epoch 15179/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3895.2542 - mae: 3895.2542 - mse: 42482204.0000 - val_loss: 4182.8257 - val_mae: 4182.8257 - val_mse: 48889580.0000\n",
            "Epoch 15180/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3894.8311 - mae: 3894.8311 - mse: 42476408.0000 - val_loss: 4182.5854 - val_mae: 4182.5854 - val_mse: 48884136.0000\n",
            "Epoch 15181/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3894.4033 - mae: 3894.4033 - mse: 42471032.0000 - val_loss: 4182.3511 - val_mae: 4182.3511 - val_mse: 48878832.0000\n",
            "Epoch 15182/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3893.9934 - mae: 3893.9934 - mse: 42465904.0000 - val_loss: 4182.1113 - val_mae: 4182.1113 - val_mse: 48873392.0000\n",
            "Epoch 15183/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3893.5598 - mae: 3893.5598 - mse: 42460300.0000 - val_loss: 4181.8618 - val_mae: 4181.8618 - val_mse: 48867748.0000\n",
            "Epoch 15184/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3893.1204 - mae: 3893.1204 - mse: 42454316.0000 - val_loss: 4181.6089 - val_mae: 4181.6089 - val_mse: 48862020.0000\n",
            "Epoch 15185/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3892.6775 - mae: 3892.6775 - mse: 42448704.0000 - val_loss: 4181.3589 - val_mae: 4181.3589 - val_mse: 48856352.0000\n",
            "Epoch 15186/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3892.2505 - mae: 3892.2505 - mse: 42442920.0000 - val_loss: 4181.1104 - val_mae: 4181.1104 - val_mse: 48850728.0000\n",
            "Epoch 15187/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3891.8198 - mae: 3891.8198 - mse: 42437712.0000 - val_loss: 4180.8604 - val_mae: 4180.8604 - val_mse: 48845068.0000\n",
            "Epoch 15188/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3891.3667 - mae: 3891.3667 - mse: 42431408.0000 - val_loss: 4180.6104 - val_mae: 4180.6104 - val_mse: 48839400.0000\n",
            "Epoch 15189/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3890.9309 - mae: 3890.9309 - mse: 42425804.0000 - val_loss: 4180.3535 - val_mae: 4180.3535 - val_mse: 48833584.0000\n",
            "Epoch 15190/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3890.4822 - mae: 3890.4822 - mse: 42419840.0000 - val_loss: 4180.0947 - val_mae: 4180.0947 - val_mse: 48827728.0000\n",
            "Epoch 15191/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3890.0222 - mae: 3890.0222 - mse: 42414224.0000 - val_loss: 4179.8423 - val_mae: 4179.8423 - val_mse: 48822008.0000\n",
            "Epoch 15192/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3889.5916 - mae: 3889.5916 - mse: 42408712.0000 - val_loss: 4179.5894 - val_mae: 4179.5894 - val_mse: 48816276.0000\n",
            "Epoch 15193/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3889.1619 - mae: 3889.1619 - mse: 42403068.0000 - val_loss: 4179.3496 - val_mae: 4179.3496 - val_mse: 48810872.0000\n",
            "Epoch 15194/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3888.7253 - mae: 3888.7253 - mse: 42397460.0000 - val_loss: 4179.1055 - val_mae: 4179.1055 - val_mse: 48805348.0000\n",
            "Epoch 15195/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3888.3118 - mae: 3888.3118 - mse: 42392036.0000 - val_loss: 4178.8604 - val_mae: 4178.8604 - val_mse: 48799792.0000\n",
            "Epoch 15196/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3887.8723 - mae: 3887.8723 - mse: 42385988.0000 - val_loss: 4178.6113 - val_mae: 4178.6113 - val_mse: 48794176.0000\n",
            "Epoch 15197/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3887.4294 - mae: 3887.4294 - mse: 42380524.0000 - val_loss: 4178.3633 - val_mae: 4178.3633 - val_mse: 48788560.0000\n",
            "Epoch 15198/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 3887.0122 - mae: 3887.0122 - mse: 42375088.0000 - val_loss: 4178.1191 - val_mae: 4178.1191 - val_mse: 48783040.0000\n",
            "Epoch 15199/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3886.5872 - mae: 3886.5872 - mse: 42369416.0000 - val_loss: 4177.8828 - val_mae: 4177.8828 - val_mse: 48777700.0000\n",
            "Epoch 15200/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3886.1848 - mae: 3886.1848 - mse: 42364252.0000 - val_loss: 4177.6519 - val_mae: 4177.6519 - val_mse: 48772488.0000\n",
            "Epoch 15201/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3885.7729 - mae: 3885.7729 - mse: 42359004.0000 - val_loss: 4177.4048 - val_mae: 4177.4048 - val_mse: 48766900.0000\n",
            "Epoch 15202/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3885.3286 - mae: 3885.3286 - mse: 42353152.0000 - val_loss: 4177.1548 - val_mae: 4177.1548 - val_mse: 48761252.0000\n",
            "Epoch 15203/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3884.9165 - mae: 3884.9165 - mse: 42347860.0000 - val_loss: 4176.9263 - val_mae: 4176.9263 - val_mse: 48756092.0000\n",
            "Epoch 15204/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3884.5164 - mae: 3884.5164 - mse: 42342904.0000 - val_loss: 4176.6978 - val_mae: 4176.6978 - val_mse: 48750928.0000\n",
            "Epoch 15205/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3884.1082 - mae: 3884.1082 - mse: 42337496.0000 - val_loss: 4176.4551 - val_mae: 4176.4551 - val_mse: 48745452.0000\n",
            "Epoch 15206/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3883.6653 - mae: 3883.6653 - mse: 42331984.0000 - val_loss: 4176.2061 - val_mae: 4176.2061 - val_mse: 48739640.0000\n",
            "Epoch 15207/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3883.2100 - mae: 3883.2100 - mse: 42325944.0000 - val_loss: 4175.9800 - val_mae: 4175.9800 - val_mse: 48733908.0000\n",
            "Epoch 15208/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3882.7678 - mae: 3882.7678 - mse: 42320184.0000 - val_loss: 4175.7476 - val_mae: 4175.7476 - val_mse: 48728028.0000\n",
            "Epoch 15209/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3882.3147 - mae: 3882.3147 - mse: 42314328.0000 - val_loss: 4175.5166 - val_mae: 4175.5166 - val_mse: 48722192.0000\n",
            "Epoch 15210/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3881.8623 - mae: 3881.8623 - mse: 42308904.0000 - val_loss: 4175.2852 - val_mae: 4175.2852 - val_mse: 48716320.0000\n",
            "Epoch 15211/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3881.3987 - mae: 3881.3987 - mse: 42302188.0000 - val_loss: 4175.0503 - val_mae: 4175.0503 - val_mse: 48710380.0000\n",
            "Epoch 15212/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3880.9421 - mae: 3880.9421 - mse: 42296764.0000 - val_loss: 4174.8154 - val_mae: 4174.8154 - val_mse: 48704432.0000\n",
            "Epoch 15213/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3880.4958 - mae: 3880.4958 - mse: 42290964.0000 - val_loss: 4174.5898 - val_mae: 4174.5898 - val_mse: 48698748.0000\n",
            "Epoch 15214/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3880.0535 - mae: 3880.0535 - mse: 42285148.0000 - val_loss: 4174.3726 - val_mae: 4174.3726 - val_mse: 48693248.0000\n",
            "Epoch 15215/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3879.6299 - mae: 3879.6299 - mse: 42279816.0000 - val_loss: 4174.1558 - val_mae: 4174.1558 - val_mse: 48687752.0000\n",
            "Epoch 15216/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3879.2051 - mae: 3879.2051 - mse: 42273936.0000 - val_loss: 4173.9365 - val_mae: 4173.9365 - val_mse: 48682212.0000\n",
            "Epoch 15217/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3878.7588 - mae: 3878.7588 - mse: 42268452.0000 - val_loss: 4173.7109 - val_mae: 4173.7109 - val_mse: 48676500.0000\n",
            "Epoch 15218/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3878.3110 - mae: 3878.3110 - mse: 42262536.0000 - val_loss: 4173.4741 - val_mae: 4173.4741 - val_mse: 48670528.0000\n",
            "Epoch 15219/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3877.8467 - mae: 3877.8467 - mse: 42256776.0000 - val_loss: 4173.2422 - val_mae: 4173.2422 - val_mse: 48664668.0000\n",
            "Epoch 15220/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3877.3872 - mae: 3877.3872 - mse: 42250944.0000 - val_loss: 4173.0093 - val_mae: 4173.0093 - val_mse: 48658780.0000\n",
            "Epoch 15221/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3876.9404 - mae: 3876.9404 - mse: 42245156.0000 - val_loss: 4172.7803 - val_mae: 4172.7803 - val_mse: 48653008.0000\n",
            "Epoch 15222/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3876.5020 - mae: 3876.5020 - mse: 42239056.0000 - val_loss: 4172.5518 - val_mae: 4172.5518 - val_mse: 48647232.0000\n",
            "Epoch 15223/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3876.0464 - mae: 3876.0464 - mse: 42233404.0000 - val_loss: 4172.3276 - val_mae: 4172.3276 - val_mse: 48641568.0000\n",
            "Epoch 15224/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3875.6003 - mae: 3875.6003 - mse: 42227688.0000 - val_loss: 4172.1035 - val_mae: 4172.1035 - val_mse: 48635904.0000\n",
            "Epoch 15225/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3875.1726 - mae: 3875.1726 - mse: 42222372.0000 - val_loss: 4171.8726 - val_mae: 4171.8726 - val_mse: 48630064.0000\n",
            "Epoch 15226/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3874.7146 - mae: 3874.7146 - mse: 42216348.0000 - val_loss: 4171.6440 - val_mae: 4171.6440 - val_mse: 48624300.0000\n",
            "Epoch 15227/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3874.2683 - mae: 3874.2683 - mse: 42210644.0000 - val_loss: 4171.4126 - val_mae: 4171.4126 - val_mse: 48618460.0000\n",
            "Epoch 15228/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3873.8079 - mae: 3873.8079 - mse: 42204608.0000 - val_loss: 4171.1899 - val_mae: 4171.1899 - val_mse: 48612844.0000\n",
            "Epoch 15229/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3873.3728 - mae: 3873.3728 - mse: 42199204.0000 - val_loss: 4170.9590 - val_mae: 4170.9590 - val_mse: 48607008.0000\n",
            "Epoch 15230/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3872.9084 - mae: 3872.9084 - mse: 42192932.0000 - val_loss: 4170.7310 - val_mae: 4170.7310 - val_mse: 48601256.0000\n",
            "Epoch 15231/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3872.4683 - mae: 3872.4683 - mse: 42187428.0000 - val_loss: 4170.5015 - val_mae: 4170.5015 - val_mse: 48595476.0000\n",
            "Epoch 15232/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3872.0176 - mae: 3872.0176 - mse: 42181540.0000 - val_loss: 4170.2700 - val_mae: 4170.2700 - val_mse: 48589632.0000\n",
            "Epoch 15233/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3871.5767 - mae: 3871.5767 - mse: 42175796.0000 - val_loss: 4170.0371 - val_mae: 4170.0371 - val_mse: 48583768.0000\n",
            "Epoch 15234/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3871.1101 - mae: 3871.1101 - mse: 42169596.0000 - val_loss: 4169.8135 - val_mae: 4169.8135 - val_mse: 48578120.0000\n",
            "Epoch 15235/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3870.6624 - mae: 3870.6624 - mse: 42164164.0000 - val_loss: 4169.5947 - val_mae: 4169.5947 - val_mse: 48572616.0000\n",
            "Epoch 15236/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3870.2561 - mae: 3870.2561 - mse: 42158984.0000 - val_loss: 4169.3745 - val_mae: 4169.3745 - val_mse: 48567068.0000\n",
            "Epoch 15237/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3869.8098 - mae: 3869.8098 - mse: 42153252.0000 - val_loss: 4169.1587 - val_mae: 4169.1587 - val_mse: 48561616.0000\n",
            "Epoch 15238/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3869.3948 - mae: 3869.3948 - mse: 42147588.0000 - val_loss: 4168.9443 - val_mae: 4168.9443 - val_mse: 48556236.0000\n",
            "Epoch 15239/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3868.9802 - mae: 3868.9802 - mse: 42142060.0000 - val_loss: 4168.7295 - val_mae: 4168.7300 - val_mse: 48550812.0000\n",
            "Epoch 15240/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3868.5549 - mae: 3868.5549 - mse: 42137080.0000 - val_loss: 4168.5078 - val_mae: 4168.5078 - val_mse: 48545232.0000\n",
            "Epoch 15241/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3868.1289 - mae: 3868.1289 - mse: 42131236.0000 - val_loss: 4168.2979 - val_mae: 4168.2979 - val_mse: 48539940.0000\n",
            "Epoch 15242/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3867.7241 - mae: 3867.7241 - mse: 42126148.0000 - val_loss: 4168.0806 - val_mae: 4168.0806 - val_mse: 48534472.0000\n",
            "Epoch 15243/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3867.2974 - mae: 3867.2974 - mse: 42120804.0000 - val_loss: 4167.8604 - val_mae: 4167.8604 - val_mse: 48528932.0000\n",
            "Epoch 15244/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3866.8572 - mae: 3866.8572 - mse: 42114964.0000 - val_loss: 4167.6465 - val_mae: 4167.6465 - val_mse: 48523540.0000\n",
            "Epoch 15245/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3866.4258 - mae: 3866.4258 - mse: 42109244.0000 - val_loss: 4167.4224 - val_mae: 4167.4224 - val_mse: 48517904.0000\n",
            "Epoch 15246/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3865.9878 - mae: 3865.9878 - mse: 42103836.0000 - val_loss: 4167.1948 - val_mae: 4167.1948 - val_mse: 48512176.0000\n",
            "Epoch 15247/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3865.5342 - mae: 3865.5342 - mse: 42098084.0000 - val_loss: 4166.9697 - val_mae: 4166.9697 - val_mse: 48506504.0000\n",
            "Epoch 15248/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3865.0952 - mae: 3865.0952 - mse: 42092516.0000 - val_loss: 4166.7422 - val_mae: 4166.7422 - val_mse: 48500780.0000\n",
            "Epoch 15249/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3864.6460 - mae: 3864.6460 - mse: 42086872.0000 - val_loss: 4166.5176 - val_mae: 4166.5176 - val_mse: 48495136.0000\n",
            "Epoch 15250/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3864.2053 - mae: 3864.2053 - mse: 42080896.0000 - val_loss: 4166.3018 - val_mae: 4166.3013 - val_mse: 48489708.0000\n",
            "Epoch 15251/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3863.7988 - mae: 3863.7988 - mse: 42075844.0000 - val_loss: 4166.0835 - val_mae: 4166.0835 - val_mse: 48484220.0000\n",
            "Epoch 15252/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3863.3660 - mae: 3863.3660 - mse: 42070064.0000 - val_loss: 4165.8643 - val_mae: 4165.8643 - val_mse: 48478712.0000\n",
            "Epoch 15253/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3862.9319 - mae: 3862.9319 - mse: 42064352.0000 - val_loss: 4165.6382 - val_mae: 4165.6382 - val_mse: 48473020.0000\n",
            "Epoch 15254/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3862.4810 - mae: 3862.4810 - mse: 42058992.0000 - val_loss: 4165.4038 - val_mae: 4165.4038 - val_mse: 48467136.0000\n",
            "Epoch 15255/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3862.0190 - mae: 3862.0190 - mse: 42052808.0000 - val_loss: 4165.1738 - val_mae: 4165.1738 - val_mse: 48461356.0000\n",
            "Epoch 15256/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3861.5850 - mae: 3861.5850 - mse: 42047224.0000 - val_loss: 4164.9531 - val_mae: 4164.9531 - val_mse: 48455820.0000\n",
            "Epoch 15257/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3861.1406 - mae: 3861.1406 - mse: 42041876.0000 - val_loss: 4164.7280 - val_mae: 4164.7280 - val_mse: 48450160.0000\n",
            "Epoch 15258/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3860.6997 - mae: 3860.6997 - mse: 42036200.0000 - val_loss: 4164.5098 - val_mae: 4164.5098 - val_mse: 48444684.0000\n",
            "Epoch 15259/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3860.2729 - mae: 3860.2729 - mse: 42030248.0000 - val_loss: 4164.2866 - val_mae: 4164.2866 - val_mse: 48439072.0000\n",
            "Epoch 15260/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3859.8328 - mae: 3859.8328 - mse: 42024836.0000 - val_loss: 4164.0552 - val_mae: 4164.0552 - val_mse: 48433272.0000\n",
            "Epoch 15261/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3859.3906 - mae: 3859.3906 - mse: 42018780.0000 - val_loss: 4163.8413 - val_mae: 4163.8413 - val_mse: 48427896.0000\n",
            "Epoch 15262/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3858.9761 - mae: 3858.9761 - mse: 42013512.0000 - val_loss: 4163.6226 - val_mae: 4163.6226 - val_mse: 48422404.0000\n",
            "Epoch 15263/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3858.5525 - mae: 3858.5525 - mse: 42008556.0000 - val_loss: 4163.4053 - val_mae: 4163.4053 - val_mse: 48416944.0000\n",
            "Epoch 15264/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3858.1089 - mae: 3858.1089 - mse: 42002652.0000 - val_loss: 4163.1914 - val_mae: 4163.1914 - val_mse: 48411592.0000\n",
            "Epoch 15265/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3857.6887 - mae: 3857.6887 - mse: 41997328.0000 - val_loss: 4162.9653 - val_mae: 4162.9653 - val_mse: 48405912.0000\n",
            "Epoch 15266/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3857.2310 - mae: 3857.2310 - mse: 41991380.0000 - val_loss: 4162.7349 - val_mae: 4162.7349 - val_mse: 48400132.0000\n",
            "Epoch 15267/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3856.7900 - mae: 3856.7900 - mse: 41985828.0000 - val_loss: 4162.5107 - val_mae: 4162.5107 - val_mse: 48394508.0000\n",
            "Epoch 15268/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3856.3567 - mae: 3856.3567 - mse: 41979852.0000 - val_loss: 4162.2910 - val_mae: 4162.2910 - val_mse: 48389000.0000\n",
            "Epoch 15269/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3855.9285 - mae: 3855.9285 - mse: 41974776.0000 - val_loss: 4162.0806 - val_mae: 4162.0806 - val_mse: 48383724.0000\n",
            "Epoch 15270/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3855.5144 - mae: 3855.5144 - mse: 41969540.0000 - val_loss: 4161.8657 - val_mae: 4161.8657 - val_mse: 48378344.0000\n",
            "Epoch 15271/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3855.0823 - mae: 3855.0823 - mse: 41963720.0000 - val_loss: 4161.6484 - val_mae: 4161.6484 - val_mse: 48372892.0000\n",
            "Epoch 15272/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3854.6760 - mae: 3854.6760 - mse: 41958824.0000 - val_loss: 4161.4297 - val_mae: 4161.4297 - val_mse: 48367412.0000\n",
            "Epoch 15273/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3854.2393 - mae: 3854.2393 - mse: 41953116.0000 - val_loss: 4161.2178 - val_mae: 4161.2178 - val_mse: 48362108.0000\n",
            "Epoch 15274/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3853.8206 - mae: 3853.8206 - mse: 41947592.0000 - val_loss: 4161.0024 - val_mae: 4161.0024 - val_mse: 48356708.0000\n",
            "Epoch 15275/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3853.3982 - mae: 3853.3982 - mse: 41942368.0000 - val_loss: 4160.7905 - val_mae: 4160.7905 - val_mse: 48351396.0000\n",
            "Epoch 15276/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3852.9883 - mae: 3852.9883 - mse: 41937060.0000 - val_loss: 4160.5815 - val_mae: 4160.5815 - val_mse: 48346172.0000\n",
            "Epoch 15277/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3852.5640 - mae: 3852.5640 - mse: 41931680.0000 - val_loss: 4160.3652 - val_mae: 4160.3652 - val_mse: 48340744.0000\n",
            "Epoch 15278/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3852.1338 - mae: 3852.1338 - mse: 41925832.0000 - val_loss: 4160.1396 - val_mae: 4160.1396 - val_mse: 48335096.0000\n",
            "Epoch 15279/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3851.6904 - mae: 3851.6904 - mse: 41920280.0000 - val_loss: 4159.9053 - val_mae: 4159.9053 - val_mse: 48329240.0000\n",
            "Epoch 15280/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3851.2412 - mae: 3851.2412 - mse: 41914416.0000 - val_loss: 4159.6816 - val_mae: 4159.6816 - val_mse: 48323632.0000\n",
            "Epoch 15281/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3850.7964 - mae: 3850.7964 - mse: 41908900.0000 - val_loss: 4159.4521 - val_mae: 4159.4521 - val_mse: 48317896.0000\n",
            "Epoch 15282/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 3850.3442 - mae: 3850.3442 - mse: 41903240.0000 - val_loss: 4159.2183 - val_mae: 4159.2183 - val_mse: 48312044.0000\n",
            "Epoch 15283/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3849.8823 - mae: 3849.8823 - mse: 41897236.0000 - val_loss: 4158.9854 - val_mae: 4158.9854 - val_mse: 48306232.0000\n",
            "Epoch 15284/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3849.4268 - mae: 3849.4268 - mse: 41891492.0000 - val_loss: 4158.7524 - val_mae: 4158.7524 - val_mse: 48300388.0000\n",
            "Epoch 15285/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3848.9805 - mae: 3848.9805 - mse: 41885980.0000 - val_loss: 4158.5254 - val_mae: 4158.5254 - val_mse: 48294720.0000\n",
            "Epoch 15286/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3848.5374 - mae: 3848.5374 - mse: 41879988.0000 - val_loss: 4158.2959 - val_mae: 4158.2959 - val_mse: 48288976.0000\n",
            "Epoch 15287/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3848.0759 - mae: 3848.0759 - mse: 41873900.0000 - val_loss: 4158.0659 - val_mae: 4158.0659 - val_mse: 48283232.0000\n",
            "Epoch 15288/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3847.6272 - mae: 3847.6272 - mse: 41868400.0000 - val_loss: 4157.8423 - val_mae: 4157.8423 - val_mse: 48277636.0000\n",
            "Epoch 15289/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3847.2024 - mae: 3847.2024 - mse: 41863004.0000 - val_loss: 4157.6113 - val_mae: 4157.6113 - val_mse: 48271868.0000\n",
            "Epoch 15290/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3846.7473 - mae: 3846.7473 - mse: 41857116.0000 - val_loss: 4157.3940 - val_mae: 4157.3940 - val_mse: 48266432.0000\n",
            "Epoch 15291/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3846.3132 - mae: 3846.3132 - mse: 41851840.0000 - val_loss: 4157.1699 - val_mae: 4157.1699 - val_mse: 48260832.0000\n",
            "Epoch 15292/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3845.8606 - mae: 3845.8606 - mse: 41845744.0000 - val_loss: 4156.9399 - val_mae: 4156.9399 - val_mse: 48255096.0000\n",
            "Epoch 15293/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3845.4170 - mae: 3845.4170 - mse: 41840264.0000 - val_loss: 4156.6997 - val_mae: 4156.6997 - val_mse: 48249096.0000\n",
            "Epoch 15294/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3844.9558 - mae: 3844.9558 - mse: 41834020.0000 - val_loss: 4156.4736 - val_mae: 4156.4736 - val_mse: 48243448.0000\n",
            "Epoch 15295/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3844.5127 - mae: 3844.5127 - mse: 41828600.0000 - val_loss: 4156.2612 - val_mae: 4156.2612 - val_mse: 48238132.0000\n",
            "Epoch 15296/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3844.0925 - mae: 3844.0925 - mse: 41823248.0000 - val_loss: 4156.0391 - val_mae: 4156.0391 - val_mse: 48232584.0000\n",
            "Epoch 15297/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3843.6550 - mae: 3843.6550 - mse: 41817816.0000 - val_loss: 4155.8223 - val_mae: 4155.8223 - val_mse: 48227180.0000\n",
            "Epoch 15298/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 3843.2305 - mae: 3843.2305 - mse: 41811924.0000 - val_loss: 4155.6045 - val_mae: 4155.6045 - val_mse: 48221744.0000\n",
            "Epoch 15299/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3842.8071 - mae: 3842.8071 - mse: 41806844.0000 - val_loss: 4155.3706 - val_mae: 4155.3706 - val_mse: 48215916.0000\n",
            "Epoch 15300/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3842.3350 - mae: 3842.3350 - mse: 41800960.0000 - val_loss: 4155.1382 - val_mae: 4155.1382 - val_mse: 48210112.0000\n",
            "Epoch 15301/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3841.8857 - mae: 3841.8857 - mse: 41795036.0000 - val_loss: 4154.9146 - val_mae: 4154.9146 - val_mse: 48204544.0000\n",
            "Epoch 15302/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3841.4456 - mae: 3841.4456 - mse: 41789604.0000 - val_loss: 4154.6943 - val_mae: 4154.6943 - val_mse: 48199040.0000\n",
            "Epoch 15303/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3841.0195 - mae: 3841.0195 - mse: 41783704.0000 - val_loss: 4154.4648 - val_mae: 4154.4648 - val_mse: 48193336.0000\n",
            "Epoch 15304/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3840.5735 - mae: 3840.5735 - mse: 41778256.0000 - val_loss: 4154.2397 - val_mae: 4154.2397 - val_mse: 48187712.0000\n",
            "Epoch 15305/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3840.1365 - mae: 3840.1365 - mse: 41772668.0000 - val_loss: 4154.0073 - val_mae: 4154.0073 - val_mse: 48181920.0000\n",
            "Epoch 15306/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3839.6775 - mae: 3839.6775 - mse: 41766900.0000 - val_loss: 4153.7764 - val_mae: 4153.7764 - val_mse: 48176152.0000\n",
            "Epoch 15307/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3839.2078 - mae: 3839.2078 - mse: 41760676.0000 - val_loss: 4153.5371 - val_mae: 4153.5371 - val_mse: 48170204.0000\n",
            "Epoch 15308/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3838.7283 - mae: 3838.7283 - mse: 41754616.0000 - val_loss: 4153.2949 - val_mae: 4153.2949 - val_mse: 48164160.0000\n",
            "Epoch 15309/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3838.2534 - mae: 3838.2534 - mse: 41748652.0000 - val_loss: 4153.0464 - val_mae: 4153.0464 - val_mse: 48157972.0000\n",
            "Epoch 15310/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3837.7717 - mae: 3837.7717 - mse: 41742544.0000 - val_loss: 4152.8032 - val_mae: 4152.8032 - val_mse: 48151924.0000\n",
            "Epoch 15311/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 3837.3125 - mae: 3837.3125 - mse: 41736684.0000 - val_loss: 4152.5776 - val_mae: 4152.5776 - val_mse: 48146300.0000\n",
            "Epoch 15312/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3836.8689 - mae: 3836.8689 - mse: 41731072.0000 - val_loss: 4152.3589 - val_mae: 4152.3589 - val_mse: 48140852.0000\n",
            "Epoch 15313/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3836.4441 - mae: 3836.4441 - mse: 41725900.0000 - val_loss: 4152.1353 - val_mae: 4152.1353 - val_mse: 48135280.0000\n",
            "Epoch 15314/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3836.0042 - mae: 3836.0042 - mse: 41720400.0000 - val_loss: 4151.9077 - val_mae: 4151.9082 - val_mse: 48129628.0000\n",
            "Epoch 15315/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3835.5620 - mae: 3835.5620 - mse: 41714404.0000 - val_loss: 4151.6826 - val_mae: 4151.6826 - val_mse: 48124012.0000\n",
            "Epoch 15316/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3835.1167 - mae: 3835.1167 - mse: 41708908.0000 - val_loss: 4151.4712 - val_mae: 4151.4712 - val_mse: 48118768.0000\n",
            "Epoch 15317/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3834.6863 - mae: 3834.6863 - mse: 41703188.0000 - val_loss: 4151.2495 - val_mae: 4151.2495 - val_mse: 48113252.0000\n",
            "Epoch 15318/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3834.2581 - mae: 3834.2581 - mse: 41698188.0000 - val_loss: 4151.0176 - val_mae: 4151.0176 - val_mse: 48107476.0000\n",
            "Epoch 15319/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3833.8069 - mae: 3833.8069 - mse: 41692352.0000 - val_loss: 4150.7944 - val_mae: 4150.7944 - val_mse: 48101924.0000\n",
            "Epoch 15320/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3833.3662 - mae: 3833.3662 - mse: 41686744.0000 - val_loss: 4150.5757 - val_mae: 4150.5757 - val_mse: 48096488.0000\n",
            "Epoch 15321/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3832.9531 - mae: 3832.9531 - mse: 41681172.0000 - val_loss: 4150.3511 - val_mae: 4150.3511 - val_mse: 48090904.0000\n",
            "Epoch 15322/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3832.5127 - mae: 3832.5127 - mse: 41675744.0000 - val_loss: 4150.1372 - val_mae: 4150.1372 - val_mse: 48085584.0000\n",
            "Epoch 15323/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3832.0754 - mae: 3832.0754 - mse: 41670292.0000 - val_loss: 4149.9199 - val_mae: 4149.9199 - val_mse: 48080188.0000\n",
            "Epoch 15324/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 3831.6604 - mae: 3831.6604 - mse: 41664732.0000 - val_loss: 4149.6934 - val_mae: 4149.6934 - val_mse: 48074552.0000\n",
            "Epoch 15325/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3831.2122 - mae: 3831.2122 - mse: 41659364.0000 - val_loss: 4149.4717 - val_mae: 4149.4717 - val_mse: 48069056.0000\n",
            "Epoch 15326/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3830.7913 - mae: 3830.7913 - mse: 41653748.0000 - val_loss: 4149.2510 - val_mae: 4149.2510 - val_mse: 48063564.0000\n",
            "Epoch 15327/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3830.3433 - mae: 3830.3433 - mse: 41647876.0000 - val_loss: 4149.0366 - val_mae: 4149.0366 - val_mse: 48058240.0000\n",
            "Epoch 15328/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3829.9285 - mae: 3829.9285 - mse: 41642820.0000 - val_loss: 4148.8174 - val_mae: 4148.8174 - val_mse: 48052796.0000\n",
            "Epoch 15329/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3829.5068 - mae: 3829.5068 - mse: 41637224.0000 - val_loss: 4148.5977 - val_mae: 4148.5977 - val_mse: 48047340.0000\n",
            "Epoch 15330/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3829.0618 - mae: 3829.0618 - mse: 41631356.0000 - val_loss: 4148.3667 - val_mae: 4148.3667 - val_mse: 48041596.0000\n",
            "Epoch 15331/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3828.6123 - mae: 3828.6123 - mse: 41625600.0000 - val_loss: 4148.1299 - val_mae: 4148.1299 - val_mse: 48035728.0000\n",
            "Epoch 15332/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3828.1528 - mae: 3828.1528 - mse: 41619920.0000 - val_loss: 4147.8936 - val_mae: 4147.8936 - val_mse: 48029872.0000\n",
            "Epoch 15333/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3827.7024 - mae: 3827.7024 - mse: 41614212.0000 - val_loss: 4147.6743 - val_mae: 4147.6743 - val_mse: 48024432.0000\n",
            "Epoch 15334/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3827.2747 - mae: 3827.2747 - mse: 41608428.0000 - val_loss: 4147.4414 - val_mae: 4147.4414 - val_mse: 48018648.0000\n",
            "Epoch 15335/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3826.8289 - mae: 3826.8289 - mse: 41602860.0000 - val_loss: 4147.1934 - val_mae: 4147.1934 - val_mse: 48012488.0000\n",
            "Epoch 15336/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3826.3684 - mae: 3826.3684 - mse: 41596624.0000 - val_loss: 4146.9639 - val_mae: 4146.9639 - val_mse: 48006792.0000\n",
            "Epoch 15337/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3825.9387 - mae: 3825.9387 - mse: 41591408.0000 - val_loss: 4146.7612 - val_mae: 4146.7612 - val_mse: 48001768.0000\n",
            "Epoch 15338/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3825.5393 - mae: 3825.5393 - mse: 41586292.0000 - val_loss: 4146.5615 - val_mae: 4146.5615 - val_mse: 47996836.0000\n",
            "Epoch 15339/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3825.1418 - mae: 3825.1418 - mse: 41581260.0000 - val_loss: 4146.3516 - val_mae: 4146.3516 - val_mse: 47991604.0000\n",
            "Epoch 15340/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3824.7366 - mae: 3824.7366 - mse: 41576028.0000 - val_loss: 4146.1289 - val_mae: 4146.1289 - val_mse: 47986096.0000\n",
            "Epoch 15341/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3824.3079 - mae: 3824.3079 - mse: 41570548.0000 - val_loss: 4145.9038 - val_mae: 4145.9038 - val_mse: 47980524.0000\n",
            "Epoch 15342/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3823.8704 - mae: 3823.8704 - mse: 41564956.0000 - val_loss: 4145.6758 - val_mae: 4145.6758 - val_mse: 47974864.0000\n",
            "Epoch 15343/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3823.4165 - mae: 3823.4165 - mse: 41558940.0000 - val_loss: 4145.4517 - val_mae: 4145.4517 - val_mse: 47969316.0000\n",
            "Epoch 15344/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3822.9817 - mae: 3822.9817 - mse: 41553276.0000 - val_loss: 4145.2231 - val_mae: 4145.2231 - val_mse: 47963648.0000\n",
            "Epoch 15345/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3822.5388 - mae: 3822.5388 - mse: 41547560.0000 - val_loss: 4144.9834 - val_mae: 4144.9834 - val_mse: 47957712.0000\n",
            "Epoch 15346/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3822.0959 - mae: 3822.0959 - mse: 41542212.0000 - val_loss: 4144.7744 - val_mae: 4144.7744 - val_mse: 47952544.0000\n",
            "Epoch 15347/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3821.6890 - mae: 3821.6890 - mse: 41536768.0000 - val_loss: 4144.5625 - val_mae: 4144.5625 - val_mse: 47947296.0000\n",
            "Epoch 15348/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3821.2791 - mae: 3821.2791 - mse: 41531488.0000 - val_loss: 4144.3428 - val_mae: 4144.3428 - val_mse: 47941860.0000\n",
            "Epoch 15349/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3820.8486 - mae: 3820.8486 - mse: 41525980.0000 - val_loss: 4144.1304 - val_mae: 4144.1304 - val_mse: 47936596.0000\n",
            "Epoch 15350/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3820.4431 - mae: 3820.4431 - mse: 41520432.0000 - val_loss: 4143.9111 - val_mae: 4143.9111 - val_mse: 47931184.0000\n",
            "Epoch 15351/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3820.0164 - mae: 3820.0164 - mse: 41515428.0000 - val_loss: 4143.6851 - val_mae: 4143.6851 - val_mse: 47925584.0000\n",
            "Epoch 15352/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3819.5815 - mae: 3819.5815 - mse: 41509724.0000 - val_loss: 4143.4609 - val_mae: 4143.4609 - val_mse: 47920044.0000\n",
            "Epoch 15353/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3819.1323 - mae: 3819.1323 - mse: 41503664.0000 - val_loss: 4143.2334 - val_mae: 4143.2334 - val_mse: 47914420.0000\n",
            "Epoch 15354/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3818.6853 - mae: 3818.6853 - mse: 41498236.0000 - val_loss: 4142.9990 - val_mae: 4142.9990 - val_mse: 47908616.0000\n",
            "Epoch 15355/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 3818.2417 - mae: 3818.2417 - mse: 41492704.0000 - val_loss: 4142.7739 - val_mae: 4142.7739 - val_mse: 47903056.0000\n",
            "Epoch 15356/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3817.8118 - mae: 3817.8118 - mse: 41487012.0000 - val_loss: 4142.5479 - val_mae: 4142.5479 - val_mse: 47897464.0000\n",
            "Epoch 15357/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3817.3655 - mae: 3817.3655 - mse: 41481236.0000 - val_loss: 4142.3203 - val_mae: 4142.3203 - val_mse: 47891844.0000\n",
            "Epoch 15358/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3816.9490 - mae: 3816.9490 - mse: 41476076.0000 - val_loss: 4142.1050 - val_mae: 4142.1050 - val_mse: 47886516.0000\n",
            "Epoch 15359/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3816.5156 - mae: 3816.5156 - mse: 41470308.0000 - val_loss: 4141.8857 - val_mae: 4141.8857 - val_mse: 47881104.0000\n",
            "Epoch 15360/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3816.0815 - mae: 3816.0815 - mse: 41464672.0000 - val_loss: 4141.6616 - val_mae: 4141.6616 - val_mse: 47875564.0000\n",
            "Epoch 15361/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3815.6631 - mae: 3815.6631 - mse: 41459496.0000 - val_loss: 4141.4365 - val_mae: 4141.4365 - val_mse: 47870008.0000\n",
            "Epoch 15362/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3815.2322 - mae: 3815.2322 - mse: 41453916.0000 - val_loss: 4141.2148 - val_mae: 4141.2148 - val_mse: 47864520.0000\n",
            "Epoch 15363/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3814.7983 - mae: 3814.7983 - mse: 41448356.0000 - val_loss: 4141.0015 - val_mae: 4141.0015 - val_mse: 47859260.0000\n",
            "Epoch 15364/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3814.3867 - mae: 3814.3867 - mse: 41442792.0000 - val_loss: 4140.7866 - val_mae: 4140.7866 - val_mse: 47853948.0000\n",
            "Epoch 15365/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3813.9604 - mae: 3813.9604 - mse: 41437472.0000 - val_loss: 4140.5669 - val_mae: 4140.5669 - val_mse: 47848540.0000\n",
            "Epoch 15366/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3813.5325 - mae: 3813.5325 - mse: 41431928.0000 - val_loss: 4140.3438 - val_mae: 4140.3438 - val_mse: 47843024.0000\n",
            "Epoch 15367/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3813.1270 - mae: 3813.1270 - mse: 41426888.0000 - val_loss: 4140.1069 - val_mae: 4140.1069 - val_mse: 47837164.0000\n",
            "Epoch 15368/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3812.6570 - mae: 3812.6570 - mse: 41420784.0000 - val_loss: 4139.8848 - val_mae: 4139.8848 - val_mse: 47831688.0000\n",
            "Epoch 15369/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3812.2158 - mae: 3812.2158 - mse: 41415300.0000 - val_loss: 4139.6714 - val_mae: 4139.6714 - val_mse: 47826428.0000\n",
            "Epoch 15370/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3811.8137 - mae: 3811.8137 - mse: 41409924.0000 - val_loss: 4139.4453 - val_mae: 4139.4453 - val_mse: 47820848.0000\n",
            "Epoch 15371/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3811.3818 - mae: 3811.3818 - mse: 41404464.0000 - val_loss: 4139.2212 - val_mae: 4139.2212 - val_mse: 47815328.0000\n",
            "Epoch 15372/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3810.9353 - mae: 3810.9353 - mse: 41398820.0000 - val_loss: 4138.9951 - val_mae: 4138.9951 - val_mse: 47809748.0000\n",
            "Epoch 15373/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3810.4978 - mae: 3810.4978 - mse: 41393132.0000 - val_loss: 4138.7646 - val_mae: 4138.7646 - val_mse: 47804068.0000\n",
            "Epoch 15374/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3810.0378 - mae: 3810.0378 - mse: 41387080.0000 - val_loss: 4138.5273 - val_mae: 4138.5273 - val_mse: 47798228.0000\n",
            "Epoch 15375/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3809.5847 - mae: 3809.5847 - mse: 41381416.0000 - val_loss: 4138.2896 - val_mae: 4138.2896 - val_mse: 47792360.0000\n",
            "Epoch 15376/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3809.1238 - mae: 3809.1238 - mse: 41375712.0000 - val_loss: 4138.0493 - val_mae: 4138.0493 - val_mse: 47786432.0000\n",
            "Epoch 15377/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3808.6521 - mae: 3808.6521 - mse: 41369520.0000 - val_loss: 4137.8081 - val_mae: 4137.8081 - val_mse: 47780488.0000\n",
            "Epoch 15378/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3808.1882 - mae: 3808.1882 - mse: 41363476.0000 - val_loss: 4137.5771 - val_mae: 4137.5771 - val_mse: 47774812.0000\n",
            "Epoch 15379/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3807.7515 - mae: 3807.7515 - mse: 41357820.0000 - val_loss: 4137.3516 - val_mae: 4137.3516 - val_mse: 47769236.0000\n",
            "Epoch 15380/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3807.3259 - mae: 3807.3259 - mse: 41352500.0000 - val_loss: 4137.1274 - val_mae: 4137.1274 - val_mse: 47763732.0000\n",
            "Epoch 15381/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3806.8804 - mae: 3806.8804 - mse: 41346952.0000 - val_loss: 4136.8970 - val_mae: 4136.8970 - val_mse: 47758064.0000\n",
            "Epoch 15382/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3806.4382 - mae: 3806.4382 - mse: 41341112.0000 - val_loss: 4136.6709 - val_mae: 4136.6709 - val_mse: 47752480.0000\n",
            "Epoch 15383/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3806.0107 - mae: 3806.0107 - mse: 41335496.0000 - val_loss: 4136.4497 - val_mae: 4136.4497 - val_mse: 47747052.0000\n",
            "Epoch 15384/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3805.5698 - mae: 3805.5698 - mse: 41330276.0000 - val_loss: 4136.2266 - val_mae: 4136.2266 - val_mse: 47741552.0000\n",
            "Epoch 15385/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3805.1399 - mae: 3805.1399 - mse: 41324436.0000 - val_loss: 4136.0015 - val_mae: 4136.0010 - val_mse: 47736004.0000\n",
            "Epoch 15386/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3804.6970 - mae: 3804.6970 - mse: 41318892.0000 - val_loss: 4135.7734 - val_mae: 4135.7734 - val_mse: 47730408.0000\n",
            "Epoch 15387/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3804.2725 - mae: 3804.2725 - mse: 41313916.0000 - val_loss: 4135.5396 - val_mae: 4135.5396 - val_mse: 47724652.0000\n",
            "Epoch 15388/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3803.8103 - mae: 3803.8103 - mse: 41307540.0000 - val_loss: 4135.3057 - val_mae: 4135.3057 - val_mse: 47718904.0000\n",
            "Epoch 15389/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3803.3594 - mae: 3803.3594 - mse: 41301944.0000 - val_loss: 4135.0630 - val_mae: 4135.0630 - val_mse: 47712932.0000\n",
            "Epoch 15390/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3802.8884 - mae: 3802.8884 - mse: 41295568.0000 - val_loss: 4134.8198 - val_mae: 4134.8198 - val_mse: 47706964.0000\n",
            "Epoch 15391/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3802.4185 - mae: 3802.4185 - mse: 41289896.0000 - val_loss: 4134.5938 - val_mae: 4134.5938 - val_mse: 47701404.0000\n",
            "Epoch 15392/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3802.0007 - mae: 3802.0007 - mse: 41284640.0000 - val_loss: 4134.3706 - val_mae: 4134.3706 - val_mse: 47695932.0000\n",
            "Epoch 15393/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3801.5693 - mae: 3801.5693 - mse: 41278744.0000 - val_loss: 4134.1533 - val_mae: 4134.1533 - val_mse: 47690576.0000\n",
            "Epoch 15394/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3801.1433 - mae: 3801.1433 - mse: 41273632.0000 - val_loss: 4133.9390 - val_mae: 4133.9390 - val_mse: 47685312.0000\n",
            "Epoch 15395/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3800.7234 - mae: 3800.7234 - mse: 41268204.0000 - val_loss: 4133.7271 - val_mae: 4133.7271 - val_mse: 47680104.0000\n",
            "Epoch 15396/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3800.3120 - mae: 3800.3120 - mse: 41262712.0000 - val_loss: 4133.5161 - val_mae: 4133.5161 - val_mse: 47674928.0000\n",
            "Epoch 15397/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3799.9009 - mae: 3799.9009 - mse: 41257748.0000 - val_loss: 4133.3018 - val_mae: 4133.3018 - val_mse: 47669660.0000\n",
            "Epoch 15398/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3799.4866 - mae: 3799.4866 - mse: 41252212.0000 - val_loss: 4133.0747 - val_mae: 4133.0747 - val_mse: 47664084.0000\n",
            "Epoch 15399/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3799.0667 - mae: 3799.0667 - mse: 41247028.0000 - val_loss: 4132.8530 - val_mae: 4132.8530 - val_mse: 47658644.0000\n",
            "Epoch 15400/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3798.6279 - mae: 3798.6279 - mse: 41241152.0000 - val_loss: 4132.6416 - val_mae: 4132.6416 - val_mse: 47653452.0000\n",
            "Epoch 15401/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3798.2141 - mae: 3798.2141 - mse: 41236004.0000 - val_loss: 4132.4277 - val_mae: 4132.4277 - val_mse: 47648212.0000\n",
            "Epoch 15402/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3797.8037 - mae: 3797.8037 - mse: 41230496.0000 - val_loss: 4132.2129 - val_mae: 4132.2129 - val_mse: 47642928.0000\n",
            "Epoch 15403/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3797.4158 - mae: 3797.4158 - mse: 41225564.0000 - val_loss: 4132.0010 - val_mae: 4132.0010 - val_mse: 47637740.0000\n",
            "Epoch 15404/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3796.9971 - mae: 3796.9971 - mse: 41220416.0000 - val_loss: 4131.7944 - val_mae: 4131.7944 - val_mse: 47632680.0000\n",
            "Epoch 15405/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3796.6003 - mae: 3796.6003 - mse: 41215268.0000 - val_loss: 4131.5762 - val_mae: 4131.5762 - val_mse: 47627312.0000\n",
            "Epoch 15406/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3796.1760 - mae: 3796.1760 - mse: 41209412.0000 - val_loss: 4131.3496 - val_mae: 4131.3496 - val_mse: 47621760.0000\n",
            "Epoch 15407/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3795.7451 - mae: 3795.7451 - mse: 41204224.0000 - val_loss: 4131.1206 - val_mae: 4131.1206 - val_mse: 47616152.0000\n",
            "Epoch 15408/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3795.3130 - mae: 3795.3130 - mse: 41198380.0000 - val_loss: 4130.9072 - val_mae: 4130.9072 - val_mse: 47610908.0000\n",
            "Epoch 15409/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3794.8906 - mae: 3794.8906 - mse: 41193164.0000 - val_loss: 4130.6836 - val_mae: 4130.6836 - val_mse: 47605436.0000\n",
            "Epoch 15410/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3794.4722 - mae: 3794.4722 - mse: 41187672.0000 - val_loss: 4130.4541 - val_mae: 4130.4541 - val_mse: 47599816.0000\n",
            "Epoch 15411/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3794.0483 - mae: 3794.0483 - mse: 41182500.0000 - val_loss: 4130.2354 - val_mae: 4130.2354 - val_mse: 47594456.0000\n",
            "Epoch 15412/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3793.6089 - mae: 3793.6089 - mse: 41176568.0000 - val_loss: 4130.0132 - val_mae: 4130.0132 - val_mse: 47589016.0000\n",
            "Epoch 15413/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3793.1772 - mae: 3793.1772 - mse: 41171012.0000 - val_loss: 4129.7803 - val_mae: 4129.7803 - val_mse: 47583296.0000\n",
            "Epoch 15414/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3792.7302 - mae: 3792.7302 - mse: 41165128.0000 - val_loss: 4129.5488 - val_mae: 4129.5488 - val_mse: 47577644.0000\n",
            "Epoch 15415/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3792.2974 - mae: 3792.2974 - mse: 41159916.0000 - val_loss: 4129.3174 - val_mae: 4129.3174 - val_mse: 47571976.0000\n",
            "Epoch 15416/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3791.8303 - mae: 3791.8303 - mse: 41154188.0000 - val_loss: 4129.0859 - val_mae: 4129.0859 - val_mse: 47566304.0000\n",
            "Epoch 15417/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3791.4055 - mae: 3791.4055 - mse: 41148020.0000 - val_loss: 4128.8442 - val_mae: 4128.8442 - val_mse: 47560384.0000\n",
            "Epoch 15418/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3790.9355 - mae: 3790.9355 - mse: 41141876.0000 - val_loss: 4128.5996 - val_mae: 4128.5996 - val_mse: 47554416.0000\n",
            "Epoch 15419/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3790.4878 - mae: 3790.4878 - mse: 41136212.0000 - val_loss: 4128.3706 - val_mae: 4128.3706 - val_mse: 47548800.0000\n",
            "Epoch 15420/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3790.0457 - mae: 3790.0457 - mse: 41130644.0000 - val_loss: 4128.1519 - val_mae: 4128.1519 - val_mse: 47543440.0000\n",
            "Epoch 15421/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3789.6311 - mae: 3789.6311 - mse: 41125232.0000 - val_loss: 4127.9277 - val_mae: 4127.9277 - val_mse: 47537972.0000\n",
            "Epoch 15422/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3789.2061 - mae: 3789.2061 - mse: 41119764.0000 - val_loss: 4127.7148 - val_mae: 4127.7148 - val_mse: 47532764.0000\n",
            "Epoch 15423/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3788.7969 - mae: 3788.7969 - mse: 41114680.0000 - val_loss: 4127.4956 - val_mae: 4127.4956 - val_mse: 47527388.0000\n",
            "Epoch 15424/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3788.3804 - mae: 3788.3804 - mse: 41109484.0000 - val_loss: 4127.2764 - val_mae: 4127.2764 - val_mse: 47522028.0000\n",
            "Epoch 15425/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3787.9668 - mae: 3787.9668 - mse: 41104140.0000 - val_loss: 4127.0581 - val_mae: 4127.0581 - val_mse: 47516708.0000\n",
            "Epoch 15426/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3787.5388 - mae: 3787.5388 - mse: 41098772.0000 - val_loss: 4126.8408 - val_mae: 4126.8408 - val_mse: 47511380.0000\n",
            "Epoch 15427/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3787.1177 - mae: 3787.1177 - mse: 41093256.0000 - val_loss: 4126.6147 - val_mae: 4126.6147 - val_mse: 47505872.0000\n",
            "Epoch 15428/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3786.6758 - mae: 3786.6758 - mse: 41087672.0000 - val_loss: 4126.3843 - val_mae: 4126.3843 - val_mse: 47500232.0000\n",
            "Epoch 15429/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3786.2393 - mae: 3786.2393 - mse: 41081932.0000 - val_loss: 4126.1504 - val_mae: 4126.1504 - val_mse: 47494528.0000\n",
            "Epoch 15430/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3785.8201 - mae: 3785.8201 - mse: 41076472.0000 - val_loss: 4125.9321 - val_mae: 4125.9321 - val_mse: 47489192.0000\n",
            "Epoch 15431/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3785.3936 - mae: 3785.3936 - mse: 41070992.0000 - val_loss: 4125.7158 - val_mae: 4125.7158 - val_mse: 47483912.0000\n",
            "Epoch 15432/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3784.9873 - mae: 3784.9873 - mse: 41065492.0000 - val_loss: 4125.4922 - val_mae: 4125.4922 - val_mse: 47478448.0000\n",
            "Epoch 15433/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3784.5491 - mae: 3784.5491 - mse: 41059800.0000 - val_loss: 4125.2568 - val_mae: 4125.2568 - val_mse: 47472704.0000\n",
            "Epoch 15434/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3784.1245 - mae: 3784.1245 - mse: 41053832.0000 - val_loss: 4125.0288 - val_mae: 4125.0288 - val_mse: 47467144.0000\n",
            "Epoch 15435/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3783.7112 - mae: 3783.7112 - mse: 41048708.0000 - val_loss: 4124.8057 - val_mae: 4124.8057 - val_mse: 47461688.0000\n",
            "Epoch 15436/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3783.2854 - mae: 3783.2854 - mse: 41043260.0000 - val_loss: 4124.5859 - val_mae: 4124.5859 - val_mse: 47456332.0000\n",
            "Epoch 15437/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3782.8772 - mae: 3782.8772 - mse: 41037888.0000 - val_loss: 4124.3730 - val_mae: 4124.3730 - val_mse: 47451132.0000\n",
            "Epoch 15438/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3782.4763 - mae: 3782.4763 - mse: 41032824.0000 - val_loss: 4124.1567 - val_mae: 4124.1567 - val_mse: 47445860.0000\n",
            "Epoch 15439/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3782.0686 - mae: 3782.0686 - mse: 41027420.0000 - val_loss: 4123.9331 - val_mae: 4123.9331 - val_mse: 47440412.0000\n",
            "Epoch 15440/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3781.6768 - mae: 3781.6768 - mse: 41021972.0000 - val_loss: 4123.7144 - val_mae: 4123.7144 - val_mse: 47435072.0000\n",
            "Epoch 15441/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3781.2583 - mae: 3781.2583 - mse: 41016436.0000 - val_loss: 4123.4985 - val_mae: 4123.4985 - val_mse: 47429804.0000\n",
            "Epoch 15442/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3780.8538 - mae: 3780.8538 - mse: 41011276.0000 - val_loss: 4123.2773 - val_mae: 4123.2773 - val_mse: 47424412.0000\n",
            "Epoch 15443/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3780.4370 - mae: 3780.4370 - mse: 41005876.0000 - val_loss: 4123.0601 - val_mae: 4123.0601 - val_mse: 47419128.0000\n",
            "Epoch 15444/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3780.0222 - mae: 3780.0222 - mse: 41000316.0000 - val_loss: 4122.8369 - val_mae: 4122.8374 - val_mse: 47413696.0000\n",
            "Epoch 15445/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3779.6201 - mae: 3779.6201 - mse: 40995036.0000 - val_loss: 4122.6089 - val_mae: 4122.6089 - val_mse: 47408128.0000\n",
            "Epoch 15446/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3779.1924 - mae: 3779.1924 - mse: 40989548.0000 - val_loss: 4122.3931 - val_mae: 4122.3931 - val_mse: 47402872.0000\n",
            "Epoch 15447/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3778.7874 - mae: 3778.7874 - mse: 40984000.0000 - val_loss: 4122.1787 - val_mae: 4122.1787 - val_mse: 47397652.0000\n",
            "Epoch 15448/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3778.3872 - mae: 3778.3872 - mse: 40979048.0000 - val_loss: 4121.9600 - val_mae: 4121.9600 - val_mse: 47392328.0000\n",
            "Epoch 15449/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3777.9795 - mae: 3777.9795 - mse: 40973632.0000 - val_loss: 4121.7441 - val_mae: 4121.7441 - val_mse: 47387068.0000\n",
            "Epoch 15450/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3777.5679 - mae: 3777.5679 - mse: 40968084.0000 - val_loss: 4121.5273 - val_mae: 4121.5269 - val_mse: 47381780.0000\n",
            "Epoch 15451/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3777.1746 - mae: 3777.1746 - mse: 40962592.0000 - val_loss: 4121.3018 - val_mae: 4121.3018 - val_mse: 47376292.0000\n",
            "Epoch 15452/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3776.7493 - mae: 3776.7493 - mse: 40957552.0000 - val_loss: 4121.0859 - val_mae: 4121.0859 - val_mse: 47371048.0000\n",
            "Epoch 15453/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3776.3491 - mae: 3776.3491 - mse: 40951928.0000 - val_loss: 4120.8779 - val_mae: 4120.8779 - val_mse: 47365988.0000\n",
            "Epoch 15454/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3775.9536 - mae: 3775.9536 - mse: 40946852.0000 - val_loss: 4120.6602 - val_mae: 4120.6602 - val_mse: 47360688.0000\n",
            "Epoch 15455/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3775.5476 - mae: 3775.5476 - mse: 40941732.0000 - val_loss: 4120.4429 - val_mae: 4120.4429 - val_mse: 47355392.0000\n",
            "Epoch 15456/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3775.1631 - mae: 3775.1631 - mse: 40936316.0000 - val_loss: 4120.2261 - val_mae: 4120.2261 - val_mse: 47350124.0000\n",
            "Epoch 15457/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 3774.7488 - mae: 3774.7488 - mse: 40931168.0000 - val_loss: 4120.0098 - val_mae: 4120.0103 - val_mse: 47344872.0000\n",
            "Epoch 15458/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3774.3594 - mae: 3774.3594 - mse: 40926116.0000 - val_loss: 4119.7866 - val_mae: 4119.7866 - val_mse: 47339440.0000\n",
            "Epoch 15459/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3773.9370 - mae: 3773.9370 - mse: 40920324.0000 - val_loss: 4119.5640 - val_mae: 4119.5640 - val_mse: 47334024.0000\n",
            "Epoch 15460/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3773.5256 - mae: 3773.5256 - mse: 40914796.0000 - val_loss: 4119.3408 - val_mae: 4119.3408 - val_mse: 47328600.0000\n",
            "Epoch 15461/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3773.1216 - mae: 3773.1216 - mse: 40909292.0000 - val_loss: 4119.1172 - val_mae: 4119.1172 - val_mse: 47323160.0000\n",
            "Epoch 15462/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3772.7085 - mae: 3772.7085 - mse: 40903776.0000 - val_loss: 4118.9053 - val_mae: 4118.9053 - val_mse: 47318020.0000\n",
            "Epoch 15463/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3772.3215 - mae: 3772.3215 - mse: 40898736.0000 - val_loss: 4118.6929 - val_mae: 4118.6929 - val_mse: 47312856.0000\n",
            "Epoch 15464/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3771.9336 - mae: 3771.9336 - mse: 40893768.0000 - val_loss: 4118.4834 - val_mae: 4118.4834 - val_mse: 47307768.0000\n",
            "Epoch 15465/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3771.5374 - mae: 3771.5374 - mse: 40888352.0000 - val_loss: 4118.2656 - val_mae: 4118.2656 - val_mse: 47302480.0000\n",
            "Epoch 15466/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3771.1418 - mae: 3771.1418 - mse: 40882792.0000 - val_loss: 4118.0503 - val_mae: 4118.0503 - val_mse: 47297244.0000\n",
            "Epoch 15467/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3770.7495 - mae: 3770.7495 - mse: 40877640.0000 - val_loss: 4117.8379 - val_mae: 4117.8379 - val_mse: 47292104.0000\n",
            "Epoch 15468/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3770.3667 - mae: 3770.3667 - mse: 40872808.0000 - val_loss: 4117.6289 - val_mae: 4117.6289 - val_mse: 47287020.0000\n",
            "Epoch 15469/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3769.9692 - mae: 3769.9692 - mse: 40867384.0000 - val_loss: 4117.4243 - val_mae: 4117.4243 - val_mse: 47282068.0000\n",
            "Epoch 15470/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3769.6025 - mae: 3769.6025 - mse: 40862632.0000 - val_loss: 4117.2036 - val_mae: 4117.2036 - val_mse: 47276696.0000\n",
            "Epoch 15471/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3769.2051 - mae: 3769.2051 - mse: 40857052.0000 - val_loss: 4116.9917 - val_mae: 4116.9917 - val_mse: 47271560.0000\n",
            "Epoch 15472/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3768.8154 - mae: 3768.8154 - mse: 40852020.0000 - val_loss: 4116.7886 - val_mae: 4116.7886 - val_mse: 47266624.0000\n",
            "Epoch 15473/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3768.4192 - mae: 3768.4192 - mse: 40847012.0000 - val_loss: 4116.5723 - val_mae: 4116.5723 - val_mse: 47261384.0000\n",
            "Epoch 15474/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3768.0361 - mae: 3768.0361 - mse: 40841576.0000 - val_loss: 4116.3516 - val_mae: 4116.3516 - val_mse: 47256032.0000\n",
            "Epoch 15475/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3767.6160 - mae: 3767.6160 - mse: 40836344.0000 - val_loss: 4116.1396 - val_mae: 4116.1396 - val_mse: 47250880.0000\n",
            "Epoch 15476/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3767.2295 - mae: 3767.2295 - mse: 40831200.0000 - val_loss: 4115.9263 - val_mae: 4115.9263 - val_mse: 47245720.0000\n",
            "Epoch 15477/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3766.8311 - mae: 3766.8311 - mse: 40825764.0000 - val_loss: 4115.7095 - val_mae: 4115.7095 - val_mse: 47240468.0000\n",
            "Epoch 15478/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3766.4375 - mae: 3766.4375 - mse: 40820544.0000 - val_loss: 4115.4834 - val_mae: 4115.4834 - val_mse: 47234992.0000\n",
            "Epoch 15479/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3766.0149 - mae: 3766.0149 - mse: 40814852.0000 - val_loss: 4115.2510 - val_mae: 4115.2510 - val_mse: 47229340.0000\n",
            "Epoch 15480/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3765.5964 - mae: 3765.5964 - mse: 40809304.0000 - val_loss: 4115.0376 - val_mae: 4115.0376 - val_mse: 47224184.0000\n",
            "Epoch 15481/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3765.2012 - mae: 3765.2012 - mse: 40804528.0000 - val_loss: 4114.8149 - val_mae: 4114.8149 - val_mse: 47218792.0000\n",
            "Epoch 15482/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3764.7878 - mae: 3764.7878 - mse: 40798736.0000 - val_loss: 4114.5991 - val_mae: 4114.5991 - val_mse: 47213568.0000\n",
            "Epoch 15483/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3764.4023 - mae: 3764.4023 - mse: 40793604.0000 - val_loss: 4114.3750 - val_mae: 4114.3750 - val_mse: 47208140.0000\n",
            "Epoch 15484/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3763.9883 - mae: 3763.9883 - mse: 40788160.0000 - val_loss: 4114.1592 - val_mae: 4114.1592 - val_mse: 47202900.0000\n",
            "Epoch 15485/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3763.5869 - mae: 3763.5869 - mse: 40782432.0000 - val_loss: 4113.9385 - val_mae: 4113.9385 - val_mse: 47197548.0000\n",
            "Epoch 15486/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3763.1731 - mae: 3763.1731 - mse: 40777464.0000 - val_loss: 4113.7212 - val_mae: 4113.7212 - val_mse: 47192308.0000\n",
            "Epoch 15487/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3762.7947 - mae: 3762.7947 - mse: 40772160.0000 - val_loss: 4113.4985 - val_mae: 4113.4985 - val_mse: 47186912.0000\n",
            "Epoch 15488/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3762.3716 - mae: 3762.3716 - mse: 40766696.0000 - val_loss: 4113.2793 - val_mae: 4113.2793 - val_mse: 47181612.0000\n",
            "Epoch 15489/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3761.9668 - mae: 3761.9668 - mse: 40761548.0000 - val_loss: 4113.0518 - val_mae: 4113.0518 - val_mse: 47176100.0000\n",
            "Epoch 15490/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3761.5691 - mae: 3761.5691 - mse: 40756316.0000 - val_loss: 4112.8320 - val_mae: 4112.8320 - val_mse: 47170784.0000\n",
            "Epoch 15491/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3761.1506 - mae: 3761.1506 - mse: 40750392.0000 - val_loss: 4112.6260 - val_mae: 4112.6260 - val_mse: 47165808.0000\n",
            "Epoch 15492/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3760.7698 - mae: 3760.7698 - mse: 40745136.0000 - val_loss: 4112.4014 - val_mae: 4112.4014 - val_mse: 47160368.0000\n",
            "Epoch 15493/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3760.3538 - mae: 3760.3538 - mse: 40739904.0000 - val_loss: 4112.1948 - val_mae: 4112.1948 - val_mse: 47155376.0000\n",
            "Epoch 15494/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3759.9797 - mae: 3759.9797 - mse: 40734800.0000 - val_loss: 4111.9863 - val_mae: 4111.9863 - val_mse: 47150328.0000\n",
            "Epoch 15495/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3759.5930 - mae: 3759.5930 - mse: 40729928.0000 - val_loss: 4111.7764 - val_mae: 4111.7764 - val_mse: 47145260.0000\n",
            "Epoch 15496/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3759.2031 - mae: 3759.2031 - mse: 40724900.0000 - val_loss: 4111.5591 - val_mae: 4111.5591 - val_mse: 47140016.0000\n",
            "Epoch 15497/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3758.8049 - mae: 3758.8049 - mse: 40719636.0000 - val_loss: 4111.3428 - val_mae: 4111.3428 - val_mse: 47134784.0000\n",
            "Epoch 15498/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3758.4043 - mae: 3758.4043 - mse: 40714232.0000 - val_loss: 4111.1226 - val_mae: 4111.1226 - val_mse: 47129472.0000\n",
            "Epoch 15499/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3758.0022 - mae: 3758.0022 - mse: 40709084.0000 - val_loss: 4110.9038 - val_mae: 4110.9038 - val_mse: 47124180.0000\n",
            "Epoch 15500/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3757.5891 - mae: 3757.5891 - mse: 40703780.0000 - val_loss: 4110.6865 - val_mae: 4110.6865 - val_mse: 47118936.0000\n",
            "Epoch 15501/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3757.2039 - mae: 3757.2039 - mse: 40698368.0000 - val_loss: 4110.4663 - val_mae: 4110.4663 - val_mse: 47113612.0000\n",
            "Epoch 15502/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3756.7913 - mae: 3756.7913 - mse: 40692804.0000 - val_loss: 4110.2583 - val_mae: 4110.2583 - val_mse: 47108608.0000\n",
            "Epoch 15503/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3756.4016 - mae: 3756.4016 - mse: 40687532.0000 - val_loss: 4110.0391 - val_mae: 4110.0391 - val_mse: 47103296.0000\n",
            "Epoch 15504/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3755.9944 - mae: 3755.9944 - mse: 40682384.0000 - val_loss: 4109.8271 - val_mae: 4109.8271 - val_mse: 47098184.0000\n",
            "Epoch 15505/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3755.6108 - mae: 3755.6108 - mse: 40677112.0000 - val_loss: 4109.6104 - val_mae: 4109.6104 - val_mse: 47092960.0000\n",
            "Epoch 15506/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3755.2227 - mae: 3755.2227 - mse: 40671976.0000 - val_loss: 4109.3818 - val_mae: 4109.3818 - val_mse: 47087448.0000\n",
            "Epoch 15507/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3754.7874 - mae: 3754.7874 - mse: 40666148.0000 - val_loss: 4109.1675 - val_mae: 4109.1675 - val_mse: 47082276.0000\n",
            "Epoch 15508/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3754.3901 - mae: 3754.3901 - mse: 40661300.0000 - val_loss: 4108.9453 - val_mae: 4108.9453 - val_mse: 47076904.0000\n",
            "Epoch 15509/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3753.9897 - mae: 3753.9897 - mse: 40655504.0000 - val_loss: 4108.7295 - val_mae: 4108.7295 - val_mse: 47071712.0000\n",
            "Epoch 15510/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3753.5823 - mae: 3753.5823 - mse: 40650728.0000 - val_loss: 4108.5059 - val_mae: 4108.5059 - val_mse: 47066320.0000\n",
            "Epoch 15511/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3753.1826 - mae: 3753.1826 - mse: 40645368.0000 - val_loss: 4108.2827 - val_mae: 4108.2827 - val_mse: 47060944.0000\n",
            "Epoch 15512/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3752.7783 - mae: 3752.7783 - mse: 40639772.0000 - val_loss: 4108.0762 - val_mae: 4108.0762 - val_mse: 47055960.0000\n",
            "Epoch 15513/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3752.4014 - mae: 3752.4014 - mse: 40634984.0000 - val_loss: 4107.8608 - val_mae: 4107.8608 - val_mse: 47050772.0000\n",
            "Epoch 15514/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3751.9988 - mae: 3751.9988 - mse: 40629916.0000 - val_loss: 4107.6440 - val_mae: 4107.6440 - val_mse: 47045552.0000\n",
            "Epoch 15515/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3751.5815 - mae: 3751.5815 - mse: 40623752.0000 - val_loss: 4107.4199 - val_mae: 4107.4199 - val_mse: 47040144.0000\n",
            "Epoch 15516/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3751.1638 - mae: 3751.1638 - mse: 40618544.0000 - val_loss: 4107.1929 - val_mae: 4107.1929 - val_mse: 47034676.0000\n",
            "Epoch 15517/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3750.7778 - mae: 3750.7778 - mse: 40613184.0000 - val_loss: 4106.9707 - val_mae: 4106.9707 - val_mse: 47029328.0000\n",
            "Epoch 15518/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3750.3643 - mae: 3750.3643 - mse: 40608068.0000 - val_loss: 4106.7729 - val_mae: 4106.7729 - val_mse: 47024560.0000\n",
            "Epoch 15519/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3749.9910 - mae: 3749.9910 - mse: 40602940.0000 - val_loss: 4106.5557 - val_mae: 4106.5557 - val_mse: 47019328.0000\n",
            "Epoch 15520/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3749.5847 - mae: 3749.5847 - mse: 40597732.0000 - val_loss: 4106.3281 - val_mae: 4106.3281 - val_mse: 47013844.0000\n",
            "Epoch 15521/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3749.1697 - mae: 3749.1697 - mse: 40592416.0000 - val_loss: 4106.1084 - val_mae: 4106.1084 - val_mse: 47008560.0000\n",
            "Epoch 15522/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3748.7722 - mae: 3748.7722 - mse: 40586784.0000 - val_loss: 4105.8882 - val_mae: 4105.8882 - val_mse: 47003256.0000\n",
            "Epoch 15523/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3748.3623 - mae: 3748.3623 - mse: 40581332.0000 - val_loss: 4105.6670 - val_mae: 4105.6670 - val_mse: 46997948.0000\n",
            "Epoch 15524/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3747.9634 - mae: 3747.9634 - mse: 40576220.0000 - val_loss: 4105.4399 - val_mae: 4105.4399 - val_mse: 46992476.0000\n",
            "Epoch 15525/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3747.5488 - mae: 3747.5488 - mse: 40570684.0000 - val_loss: 4105.2231 - val_mae: 4105.2231 - val_mse: 46987260.0000\n",
            "Epoch 15526/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3747.1436 - mae: 3747.1436 - mse: 40565288.0000 - val_loss: 4105.0044 - val_mae: 4105.0044 - val_mse: 46981996.0000\n",
            "Epoch 15527/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3746.7314 - mae: 3746.7314 - mse: 40560260.0000 - val_loss: 4104.7910 - val_mae: 4104.7910 - val_mse: 46976880.0000\n",
            "Epoch 15528/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3746.3267 - mae: 3746.3267 - mse: 40555008.0000 - val_loss: 4104.5732 - val_mae: 4104.5732 - val_mse: 46971636.0000\n",
            "Epoch 15529/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3745.9329 - mae: 3745.9329 - mse: 40549804.0000 - val_loss: 4104.3423 - val_mae: 4104.3423 - val_mse: 46966084.0000\n",
            "Epoch 15530/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3745.5083 - mae: 3745.5083 - mse: 40543988.0000 - val_loss: 4104.1099 - val_mae: 4104.1099 - val_mse: 46960496.0000\n",
            "Epoch 15531/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3745.0898 - mae: 3745.0898 - mse: 40538548.0000 - val_loss: 4103.8628 - val_mae: 4103.8628 - val_mse: 46954568.0000\n",
            "Epoch 15532/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3744.6316 - mae: 3744.6316 - mse: 40532180.0000 - val_loss: 4103.6294 - val_mae: 4103.6294 - val_mse: 46948964.0000\n",
            "Epoch 15533/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3744.2002 - mae: 3744.2002 - mse: 40527152.0000 - val_loss: 4103.3989 - val_mae: 4103.3989 - val_mse: 46943424.0000\n",
            "Epoch 15534/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3743.7915 - mae: 3743.7915 - mse: 40521172.0000 - val_loss: 4103.1763 - val_mae: 4103.1763 - val_mse: 46938080.0000\n",
            "Epoch 15535/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3743.3582 - mae: 3743.3582 - mse: 40515920.0000 - val_loss: 4102.9561 - val_mae: 4102.9561 - val_mse: 46932796.0000\n",
            "Epoch 15536/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3742.9463 - mae: 3742.9463 - mse: 40510528.0000 - val_loss: 4102.7192 - val_mae: 4102.7192 - val_mse: 46927096.0000\n",
            "Epoch 15537/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3742.5278 - mae: 3742.5278 - mse: 40504980.0000 - val_loss: 4102.4878 - val_mae: 4102.4878 - val_mse: 46921540.0000\n",
            "Epoch 15538/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3742.1052 - mae: 3742.1052 - mse: 40499252.0000 - val_loss: 4102.2651 - val_mae: 4102.2651 - val_mse: 46916200.0000\n",
            "Epoch 15539/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3741.7148 - mae: 3741.7148 - mse: 40494220.0000 - val_loss: 4102.0547 - val_mae: 4102.0547 - val_mse: 46911144.0000\n",
            "Epoch 15540/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3741.3103 - mae: 3741.3103 - mse: 40488876.0000 - val_loss: 4101.8398 - val_mae: 4101.8398 - val_mse: 46906000.0000\n",
            "Epoch 15541/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3740.9170 - mae: 3740.9170 - mse: 40483672.0000 - val_loss: 4101.6143 - val_mae: 4101.6143 - val_mse: 46900588.0000\n",
            "Epoch 15542/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3740.4951 - mae: 3740.4951 - mse: 40477956.0000 - val_loss: 4101.3916 - val_mae: 4101.3916 - val_mse: 46895240.0000\n",
            "Epoch 15543/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3740.0830 - mae: 3740.0830 - mse: 40472968.0000 - val_loss: 4101.1636 - val_mae: 4101.1636 - val_mse: 46889764.0000\n",
            "Epoch 15544/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3739.6602 - mae: 3739.6602 - mse: 40467436.0000 - val_loss: 4100.9297 - val_mae: 4100.9297 - val_mse: 46884168.0000\n",
            "Epoch 15545/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3739.2222 - mae: 3739.2222 - mse: 40461144.0000 - val_loss: 4100.6821 - val_mae: 4100.6821 - val_mse: 46878232.0000\n",
            "Epoch 15546/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3738.7615 - mae: 3738.7615 - mse: 40455504.0000 - val_loss: 4100.4365 - val_mae: 4100.4365 - val_mse: 46872336.0000\n",
            "Epoch 15547/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3738.3198 - mae: 3738.3198 - mse: 40449424.0000 - val_loss: 4100.2075 - val_mae: 4100.2075 - val_mse: 46866852.0000\n",
            "Epoch 15548/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3737.8933 - mae: 3737.8933 - mse: 40443824.0000 - val_loss: 4099.9771 - val_mae: 4099.9771 - val_mse: 46861336.0000\n",
            "Epoch 15549/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3737.4768 - mae: 3737.4768 - mse: 40438580.0000 - val_loss: 4099.7485 - val_mae: 4099.7485 - val_mse: 46855848.0000\n",
            "Epoch 15550/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3737.0427 - mae: 3737.0427 - mse: 40432860.0000 - val_loss: 4099.5181 - val_mae: 4099.5181 - val_mse: 46850340.0000\n",
            "Epoch 15551/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3736.6350 - mae: 3736.6350 - mse: 40427172.0000 - val_loss: 4099.2773 - val_mae: 4099.2773 - val_mse: 46844580.0000\n",
            "Epoch 15552/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3736.1846 - mae: 3736.1846 - mse: 40421560.0000 - val_loss: 4099.0405 - val_mae: 4099.0405 - val_mse: 46838904.0000\n",
            "Epoch 15553/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3735.7732 - mae: 3735.7732 - mse: 40416096.0000 - val_loss: 4098.8101 - val_mae: 4098.8101 - val_mse: 46833388.0000\n",
            "Epoch 15554/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3735.3398 - mae: 3735.3398 - mse: 40410332.0000 - val_loss: 4098.5923 - val_mae: 4098.5923 - val_mse: 46828176.0000\n",
            "Epoch 15555/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3734.9280 - mae: 3734.9280 - mse: 40404972.0000 - val_loss: 4098.3706 - val_mae: 4098.3706 - val_mse: 46822864.0000\n",
            "Epoch 15556/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3734.5374 - mae: 3734.5374 - mse: 40399900.0000 - val_loss: 4098.1406 - val_mae: 4098.1406 - val_mse: 46817368.0000\n",
            "Epoch 15557/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3734.1211 - mae: 3734.1211 - mse: 40394604.0000 - val_loss: 4097.9321 - val_mae: 4097.9321 - val_mse: 46812380.0000\n",
            "Epoch 15558/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3733.7261 - mae: 3733.7261 - mse: 40389184.0000 - val_loss: 4097.7148 - val_mae: 4097.7148 - val_mse: 46807176.0000\n",
            "Epoch 15559/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3733.3259 - mae: 3733.3259 - mse: 40383980.0000 - val_loss: 4097.5024 - val_mae: 4097.5024 - val_mse: 46802096.0000\n",
            "Epoch 15560/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3732.9424 - mae: 3732.9424 - mse: 40378988.0000 - val_loss: 4097.2935 - val_mae: 4097.2935 - val_mse: 46797108.0000\n",
            "Epoch 15561/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3732.5671 - mae: 3732.5671 - mse: 40373924.0000 - val_loss: 4097.0933 - val_mae: 4097.0933 - val_mse: 46792316.0000\n",
            "Epoch 15562/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3732.1846 - mae: 3732.1846 - mse: 40368980.0000 - val_loss: 4096.8828 - val_mae: 4096.8828 - val_mse: 46787280.0000\n",
            "Epoch 15563/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3731.7888 - mae: 3731.7888 - mse: 40364012.0000 - val_loss: 4096.6714 - val_mae: 4096.6709 - val_mse: 46782228.0000\n",
            "Epoch 15564/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3731.4097 - mae: 3731.4097 - mse: 40358984.0000 - val_loss: 4096.4541 - val_mae: 4096.4541 - val_mse: 46777044.0000\n",
            "Epoch 15565/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3731.0005 - mae: 3731.0005 - mse: 40353628.0000 - val_loss: 4096.2378 - val_mae: 4096.2378 - val_mse: 46771876.0000\n",
            "Epoch 15566/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3730.6211 - mae: 3730.6211 - mse: 40348780.0000 - val_loss: 4096.0098 - val_mae: 4096.0098 - val_mse: 46766416.0000\n",
            "Epoch 15567/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3730.1965 - mae: 3730.1965 - mse: 40342652.0000 - val_loss: 4095.7893 - val_mae: 4095.7893 - val_mse: 46761168.0000\n",
            "Epoch 15568/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3729.7961 - mae: 3729.7961 - mse: 40337828.0000 - val_loss: 4095.5837 - val_mae: 4095.5837 - val_mse: 46756260.0000\n",
            "Epoch 15569/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3729.4309 - mae: 3729.4309 - mse: 40333064.0000 - val_loss: 4095.3772 - val_mae: 4095.3772 - val_mse: 46751324.0000\n",
            "Epoch 15570/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3729.0334 - mae: 3729.0334 - mse: 40327836.0000 - val_loss: 4095.1807 - val_mae: 4095.1807 - val_mse: 46746628.0000\n",
            "Epoch 15571/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3728.6575 - mae: 3728.6575 - mse: 40322768.0000 - val_loss: 4094.9666 - val_mae: 4094.9666 - val_mse: 46741512.0000\n",
            "Epoch 15572/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3728.2622 - mae: 3728.2622 - mse: 40317640.0000 - val_loss: 4094.7405 - val_mae: 4094.7405 - val_mse: 46736120.0000\n",
            "Epoch 15573/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3727.8364 - mae: 3727.8364 - mse: 40312100.0000 - val_loss: 4094.5212 - val_mae: 4094.5212 - val_mse: 46730896.0000\n",
            "Epoch 15574/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3727.4543 - mae: 3727.4543 - mse: 40307336.0000 - val_loss: 4094.2949 - val_mae: 4094.2949 - val_mse: 46725488.0000\n",
            "Epoch 15575/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3727.0447 - mae: 3727.0447 - mse: 40301744.0000 - val_loss: 4094.0847 - val_mae: 4094.0847 - val_mse: 46720476.0000\n",
            "Epoch 15576/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3726.6292 - mae: 3726.6292 - mse: 40296428.0000 - val_loss: 4093.8674 - val_mae: 4093.8674 - val_mse: 46715300.0000\n",
            "Epoch 15577/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3726.2405 - mae: 3726.2405 - mse: 40291208.0000 - val_loss: 4093.6394 - val_mae: 4093.6394 - val_mse: 46709860.0000\n",
            "Epoch 15578/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3725.8213 - mae: 3725.8213 - mse: 40285744.0000 - val_loss: 4093.4199 - val_mae: 4093.4199 - val_mse: 46704628.0000\n",
            "Epoch 15579/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3725.4287 - mae: 3725.4287 - mse: 40280388.0000 - val_loss: 4093.2004 - val_mae: 4093.2004 - val_mse: 46699388.0000\n",
            "Epoch 15580/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3725.0247 - mae: 3725.0247 - mse: 40274896.0000 - val_loss: 4092.9905 - val_mae: 4092.9905 - val_mse: 46694392.0000\n",
            "Epoch 15581/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3724.6372 - mae: 3724.6372 - mse: 40270364.0000 - val_loss: 4092.7637 - val_mae: 4092.7637 - val_mse: 46688984.0000\n",
            "Epoch 15582/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3724.2168 - mae: 3724.2168 - mse: 40264948.0000 - val_loss: 4092.5354 - val_mae: 4092.5354 - val_mse: 46683544.0000\n",
            "Epoch 15583/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3723.7869 - mae: 3723.7869 - mse: 40259280.0000 - val_loss: 4092.3079 - val_mae: 4092.3079 - val_mse: 46678128.0000\n",
            "Epoch 15584/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3723.3811 - mae: 3723.3811 - mse: 40253888.0000 - val_loss: 4092.0803 - val_mae: 4092.0803 - val_mse: 46672704.0000\n",
            "Epoch 15585/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3722.9509 - mae: 3722.9509 - mse: 40248412.0000 - val_loss: 4091.8555 - val_mae: 4091.8555 - val_mse: 46667344.0000\n",
            "Epoch 15586/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3722.5522 - mae: 3722.5522 - mse: 40243296.0000 - val_loss: 4091.6377 - val_mae: 4091.6377 - val_mse: 46662164.0000\n",
            "Epoch 15587/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3722.1494 - mae: 3722.1494 - mse: 40238024.0000 - val_loss: 4091.4204 - val_mae: 4091.4204 - val_mse: 46656996.0000\n",
            "Epoch 15588/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3721.7349 - mae: 3721.7349 - mse: 40232508.0000 - val_loss: 4091.2019 - val_mae: 4091.2019 - val_mse: 46651788.0000\n",
            "Epoch 15589/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3721.3445 - mae: 3721.3445 - mse: 40227064.0000 - val_loss: 4090.9695 - val_mae: 4090.9695 - val_mse: 46646252.0000\n",
            "Epoch 15590/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3720.8979 - mae: 3720.8979 - mse: 40221544.0000 - val_loss: 4090.7373 - val_mae: 4090.7373 - val_mse: 46640740.0000\n",
            "Epoch 15591/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3720.4622 - mae: 3720.4622 - mse: 40216088.0000 - val_loss: 4090.5061 - val_mae: 4090.5061 - val_mse: 46635240.0000\n",
            "Epoch 15592/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3720.0469 - mae: 3720.0469 - mse: 40210164.0000 - val_loss: 4090.2698 - val_mae: 4090.2698 - val_mse: 46629612.0000\n",
            "Epoch 15593/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3719.6143 - mae: 3719.6143 - mse: 40205080.0000 - val_loss: 4090.0342 - val_mae: 4090.0342 - val_mse: 46624020.0000\n",
            "Epoch 15594/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3719.1577 - mae: 3719.1577 - mse: 40198712.0000 - val_loss: 4089.7949 - val_mae: 4089.7949 - val_mse: 46618328.0000\n",
            "Epoch 15595/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3718.7405 - mae: 3718.7405 - mse: 40193208.0000 - val_loss: 4089.5535 - val_mae: 4089.5535 - val_mse: 46612572.0000\n",
            "Epoch 15596/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3718.2964 - mae: 3718.2964 - mse: 40187232.0000 - val_loss: 4089.3247 - val_mae: 4089.3247 - val_mse: 46607140.0000\n",
            "Epoch 15597/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3717.8650 - mae: 3717.8650 - mse: 40182020.0000 - val_loss: 4089.0994 - val_mae: 4089.0994 - val_mse: 46601792.0000\n",
            "Epoch 15598/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3717.4763 - mae: 3717.4763 - mse: 40176864.0000 - val_loss: 4088.8799 - val_mae: 4088.8799 - val_mse: 46596584.0000\n",
            "Epoch 15599/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3717.0637 - mae: 3717.0637 - mse: 40171356.0000 - val_loss: 4088.6636 - val_mae: 4088.6636 - val_mse: 46591432.0000\n",
            "Epoch 15600/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3716.6616 - mae: 3716.6616 - mse: 40166240.0000 - val_loss: 4088.4294 - val_mae: 4088.4294 - val_mse: 46585876.0000\n",
            "Epoch 15601/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3716.2236 - mae: 3716.2236 - mse: 40160548.0000 - val_loss: 4088.1992 - val_mae: 4088.1992 - val_mse: 46580412.0000\n",
            "Epoch 15602/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3715.8030 - mae: 3715.8030 - mse: 40155128.0000 - val_loss: 4087.9771 - val_mae: 4087.9771 - val_mse: 46575128.0000\n",
            "Epoch 15603/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3715.4189 - mae: 3715.4189 - mse: 40150168.0000 - val_loss: 4087.7529 - val_mae: 4087.7529 - val_mse: 46569816.0000\n",
            "Epoch 15604/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3714.9905 - mae: 3714.9905 - mse: 40144232.0000 - val_loss: 4087.5308 - val_mae: 4087.5308 - val_mse: 46564540.0000\n",
            "Epoch 15605/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3714.5754 - mae: 3714.5754 - mse: 40139152.0000 - val_loss: 4087.3110 - val_mae: 4087.3110 - val_mse: 46559312.0000\n",
            "Epoch 15606/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3714.1785 - mae: 3714.1785 - mse: 40134008.0000 - val_loss: 4087.0881 - val_mae: 4087.0881 - val_mse: 46554024.0000\n",
            "Epoch 15607/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3713.7546 - mae: 3713.7546 - mse: 40128164.0000 - val_loss: 4086.8552 - val_mae: 4086.8552 - val_mse: 46548504.0000\n",
            "Epoch 15608/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3713.3171 - mae: 3713.3171 - mse: 40122912.0000 - val_loss: 4086.6221 - val_mae: 4086.6221 - val_mse: 46542980.0000\n",
            "Epoch 15609/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3712.9062 - mae: 3712.9062 - mse: 40117460.0000 - val_loss: 4086.3894 - val_mae: 4086.3894 - val_mse: 46537464.0000\n",
            "Epoch 15610/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3712.4912 - mae: 3712.4912 - mse: 40111804.0000 - val_loss: 4086.1577 - val_mae: 4086.1577 - val_mse: 46531968.0000\n",
            "Epoch 15611/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 3712.0518 - mae: 3712.0518 - mse: 40106244.0000 - val_loss: 4085.9341 - val_mae: 4085.9341 - val_mse: 46526664.0000\n",
            "Epoch 15612/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3711.6387 - mae: 3711.6387 - mse: 40100848.0000 - val_loss: 4085.7104 - val_mae: 4085.7104 - val_mse: 46521352.0000\n",
            "Epoch 15613/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3711.2302 - mae: 3711.2302 - mse: 40095404.0000 - val_loss: 4085.4856 - val_mae: 4085.4856 - val_mse: 46516032.0000\n",
            "Epoch 15614/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3710.8193 - mae: 3710.8193 - mse: 40090304.0000 - val_loss: 4085.2634 - val_mae: 4085.2634 - val_mse: 46510764.0000\n",
            "Epoch 15615/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3710.4189 - mae: 3710.4189 - mse: 40085096.0000 - val_loss: 4085.0352 - val_mae: 4085.0352 - val_mse: 46505364.0000\n",
            "Epoch 15616/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3709.9893 - mae: 3709.9893 - mse: 40079368.0000 - val_loss: 4084.8201 - val_mae: 4084.8201 - val_mse: 46500268.0000\n",
            "Epoch 15617/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3709.6025 - mae: 3709.6025 - mse: 40074312.0000 - val_loss: 4084.5977 - val_mae: 4084.5977 - val_mse: 46494996.0000\n",
            "Epoch 15618/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3709.1914 - mae: 3709.1914 - mse: 40069228.0000 - val_loss: 4084.3728 - val_mae: 4084.3728 - val_mse: 46489668.0000\n",
            "Epoch 15619/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3708.7764 - mae: 3708.7764 - mse: 40063908.0000 - val_loss: 4084.1472 - val_mae: 4084.1472 - val_mse: 46484336.0000\n",
            "Epoch 15620/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3708.3650 - mae: 3708.3650 - mse: 40058388.0000 - val_loss: 4083.9211 - val_mae: 4083.9211 - val_mse: 46478980.0000\n",
            "Epoch 15621/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3707.9414 - mae: 3707.9414 - mse: 40052828.0000 - val_loss: 4083.6929 - val_mae: 4083.6929 - val_mse: 46473572.0000\n",
            "Epoch 15622/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3707.5151 - mae: 3707.5151 - mse: 40047236.0000 - val_loss: 4083.4622 - val_mae: 4083.4622 - val_mse: 46468004.0000\n",
            "Epoch 15623/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3707.0740 - mae: 3707.0740 - mse: 40041688.0000 - val_loss: 4083.2515 - val_mae: 4083.2515 - val_mse: 46462444.0000\n",
            "Epoch 15624/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3706.6479 - mae: 3706.6479 - mse: 40035832.0000 - val_loss: 4083.0347 - val_mae: 4083.0347 - val_mse: 46456732.0000\n",
            "Epoch 15625/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3706.2080 - mae: 3706.2080 - mse: 40030288.0000 - val_loss: 4082.8164 - val_mae: 4082.8164 - val_mse: 46450976.0000\n",
            "Epoch 15626/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3705.7554 - mae: 3705.7554 - mse: 40024880.0000 - val_loss: 4082.6040 - val_mae: 4082.6040 - val_mse: 46445388.0000\n",
            "Epoch 15627/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3705.3281 - mae: 3705.3281 - mse: 40018828.0000 - val_loss: 4082.3953 - val_mae: 4082.3953 - val_mse: 46439872.0000\n",
            "Epoch 15628/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3704.8982 - mae: 3704.8982 - mse: 40013280.0000 - val_loss: 4082.1875 - val_mae: 4082.1875 - val_mse: 46434404.0000\n",
            "Epoch 15629/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3704.4587 - mae: 3704.4587 - mse: 40007468.0000 - val_loss: 4081.9810 - val_mae: 4081.9810 - val_mse: 46428948.0000\n",
            "Epoch 15630/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3704.0530 - mae: 3704.0530 - mse: 40002508.0000 - val_loss: 4081.7712 - val_mae: 4081.7712 - val_mse: 46423436.0000\n",
            "Epoch 15631/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3703.6270 - mae: 3703.6270 - mse: 39996728.0000 - val_loss: 4081.5679 - val_mae: 4081.5679 - val_mse: 46418084.0000\n",
            "Epoch 15632/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3703.2031 - mae: 3703.2031 - mse: 39991164.0000 - val_loss: 4081.3831 - val_mae: 4081.3831 - val_mse: 46413212.0000\n",
            "Epoch 15633/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3702.8296 - mae: 3702.8296 - mse: 39986608.0000 - val_loss: 4081.1931 - val_mae: 4081.1931 - val_mse: 46408216.0000\n",
            "Epoch 15634/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3702.4414 - mae: 3702.4414 - mse: 39981628.0000 - val_loss: 4080.9939 - val_mae: 4080.9934 - val_mse: 46402960.0000\n",
            "Epoch 15635/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3702.0273 - mae: 3702.0273 - mse: 39975992.0000 - val_loss: 4080.7964 - val_mae: 4080.7964 - val_mse: 46397764.0000\n",
            "Epoch 15636/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3701.6216 - mae: 3701.6216 - mse: 39970680.0000 - val_loss: 4080.5898 - val_mae: 4080.5898 - val_mse: 46392340.0000\n",
            "Epoch 15637/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3701.1958 - mae: 3701.1958 - mse: 39965528.0000 - val_loss: 4080.3867 - val_mae: 4080.3867 - val_mse: 46386988.0000\n",
            "Epoch 15638/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3700.7974 - mae: 3700.7974 - mse: 39959888.0000 - val_loss: 4080.1997 - val_mae: 4080.1997 - val_mse: 46382072.0000\n",
            "Epoch 15639/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3700.4104 - mae: 3700.4104 - mse: 39954968.0000 - val_loss: 4080.0183 - val_mae: 4080.0183 - val_mse: 46377296.0000\n",
            "Epoch 15640/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3700.0586 - mae: 3700.0586 - mse: 39950292.0000 - val_loss: 4079.8220 - val_mae: 4079.8220 - val_mse: 46372132.0000\n",
            "Epoch 15641/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3699.6753 - mae: 3699.6753 - mse: 39944828.0000 - val_loss: 4079.6340 - val_mae: 4079.6340 - val_mse: 46367192.0000\n",
            "Epoch 15642/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3699.2903 - mae: 3699.2903 - mse: 39939980.0000 - val_loss: 4079.4475 - val_mae: 4079.4475 - val_mse: 46362276.0000\n",
            "Epoch 15643/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3698.9211 - mae: 3698.9211 - mse: 39934912.0000 - val_loss: 4079.2583 - val_mae: 4079.2583 - val_mse: 46357316.0000\n",
            "Epoch 15644/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3698.5464 - mae: 3698.5464 - mse: 39929708.0000 - val_loss: 4079.0571 - val_mae: 4079.0571 - val_mse: 46352036.0000\n",
            "Epoch 15645/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3698.1448 - mae: 3698.1448 - mse: 39924564.0000 - val_loss: 4078.8486 - val_mae: 4078.8486 - val_mse: 46346544.0000\n",
            "Epoch 15646/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3697.7417 - mae: 3697.7417 - mse: 39919288.0000 - val_loss: 4078.6592 - val_mae: 4078.6592 - val_mse: 46341564.0000\n",
            "Epoch 15647/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3697.3423 - mae: 3697.3423 - mse: 39914276.0000 - val_loss: 4078.4692 - val_mae: 4078.4692 - val_mse: 46336576.0000\n",
            "Epoch 15648/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3696.9771 - mae: 3696.9771 - mse: 39908916.0000 - val_loss: 4078.2668 - val_mae: 4078.2668 - val_mse: 46331268.0000\n",
            "Epoch 15649/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3696.5469 - mae: 3696.5469 - mse: 39903468.0000 - val_loss: 4078.0640 - val_mae: 4078.0640 - val_mse: 46325928.0000\n",
            "Epoch 15650/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3696.1584 - mae: 3696.1584 - mse: 39898120.0000 - val_loss: 4077.8540 - val_mae: 4077.8540 - val_mse: 46320420.0000\n",
            "Epoch 15651/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3695.7500 - mae: 3695.7500 - mse: 39892636.0000 - val_loss: 4077.6665 - val_mae: 4077.6665 - val_mse: 46315500.0000\n",
            "Epoch 15652/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3695.3853 - mae: 3695.3853 - mse: 39887932.0000 - val_loss: 4077.4675 - val_mae: 4077.4675 - val_mse: 46310272.0000\n",
            "Epoch 15653/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3694.9717 - mae: 3694.9717 - mse: 39882044.0000 - val_loss: 4077.2690 - val_mae: 4077.2690 - val_mse: 46305072.0000\n",
            "Epoch 15654/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3694.5725 - mae: 3694.5725 - mse: 39877244.0000 - val_loss: 4077.0667 - val_mae: 4077.0667 - val_mse: 46299760.0000\n",
            "Epoch 15655/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3694.1792 - mae: 3694.1792 - mse: 39871896.0000 - val_loss: 4076.8716 - val_mae: 4076.8716 - val_mse: 46294636.0000\n",
            "Epoch 15656/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3693.7961 - mae: 3693.7961 - mse: 39866612.0000 - val_loss: 4076.6707 - val_mae: 4076.6707 - val_mse: 46289376.0000\n",
            "Epoch 15657/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3693.3877 - mae: 3693.3877 - mse: 39861456.0000 - val_loss: 4076.4749 - val_mae: 4076.4749 - val_mse: 46284232.0000\n",
            "Epoch 15658/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3693.0000 - mae: 3693.0000 - mse: 39856136.0000 - val_loss: 4076.2705 - val_mae: 4076.2705 - val_mse: 46278868.0000\n",
            "Epoch 15659/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3692.5964 - mae: 3692.5964 - mse: 39850784.0000 - val_loss: 4076.0679 - val_mae: 4076.0679 - val_mse: 46273568.0000\n",
            "Epoch 15660/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3692.1841 - mae: 3692.1841 - mse: 39845480.0000 - val_loss: 4075.8694 - val_mae: 4075.8694 - val_mse: 46268364.0000\n",
            "Epoch 15661/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3691.7964 - mae: 3691.7964 - mse: 39840156.0000 - val_loss: 4075.6665 - val_mae: 4075.6665 - val_mse: 46263048.0000\n",
            "Epoch 15662/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3691.3884 - mae: 3691.3884 - mse: 39834760.0000 - val_loss: 4075.4639 - val_mae: 4075.4639 - val_mse: 46257740.0000\n",
            "Epoch 15663/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3690.9802 - mae: 3690.9802 - mse: 39829492.0000 - val_loss: 4075.2615 - val_mae: 4075.2615 - val_mse: 46252432.0000\n",
            "Epoch 15664/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3690.5781 - mae: 3690.5781 - mse: 39823652.0000 - val_loss: 4075.0603 - val_mae: 4075.0603 - val_mse: 46247160.0000\n",
            "Epoch 15665/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3690.1692 - mae: 3690.1692 - mse: 39818588.0000 - val_loss: 4074.8613 - val_mae: 4074.8613 - val_mse: 46241956.0000\n",
            "Epoch 15666/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3689.7744 - mae: 3689.7744 - mse: 39813192.0000 - val_loss: 4074.6555 - val_mae: 4074.6555 - val_mse: 46236572.0000\n",
            "Epoch 15667/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3689.3738 - mae: 3689.3738 - mse: 39807892.0000 - val_loss: 4074.4475 - val_mae: 4074.4475 - val_mse: 46231116.0000\n",
            "Epoch 15668/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3688.9648 - mae: 3688.9648 - mse: 39802444.0000 - val_loss: 4074.2507 - val_mae: 4074.2507 - val_mse: 46225976.0000\n",
            "Epoch 15669/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3688.5815 - mae: 3688.5815 - mse: 39797288.0000 - val_loss: 4074.0728 - val_mae: 4074.0728 - val_mse: 46221304.0000\n",
            "Epoch 15670/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3688.2153 - mae: 3688.2153 - mse: 39792476.0000 - val_loss: 4073.8933 - val_mae: 4073.8933 - val_mse: 46216624.0000\n",
            "Epoch 15671/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3687.8667 - mae: 3687.8667 - mse: 39787796.0000 - val_loss: 4073.7087 - val_mae: 4073.7087 - val_mse: 46211796.0000\n",
            "Epoch 15672/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3687.5005 - mae: 3687.5005 - mse: 39783060.0000 - val_loss: 4073.5225 - val_mae: 4073.5225 - val_mse: 46206920.0000\n",
            "Epoch 15673/16000\n",
            "6/6 [==============================] - 0s 14ms/step - loss: 3687.1345 - mae: 3687.1345 - mse: 39778108.0000 - val_loss: 4073.3315 - val_mae: 4073.3315 - val_mse: 46201928.0000\n",
            "Epoch 15674/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3686.7485 - mae: 3686.7485 - mse: 39773148.0000 - val_loss: 4073.1487 - val_mae: 4073.1487 - val_mse: 46197148.0000\n",
            "Epoch 15675/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3686.3694 - mae: 3686.3694 - mse: 39768248.0000 - val_loss: 4072.9441 - val_mae: 4072.9441 - val_mse: 46191788.0000\n",
            "Epoch 15676/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3685.9797 - mae: 3685.9797 - mse: 39762588.0000 - val_loss: 4072.7480 - val_mae: 4072.7480 - val_mse: 46186672.0000\n",
            "Epoch 15677/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3685.5957 - mae: 3685.5957 - mse: 39758000.0000 - val_loss: 4072.5720 - val_mae: 4072.5720 - val_mse: 46182064.0000\n",
            "Epoch 15678/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3685.2412 - mae: 3685.2412 - mse: 39753024.0000 - val_loss: 4072.3833 - val_mae: 4072.3833 - val_mse: 46177144.0000\n",
            "Epoch 15679/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3684.8521 - mae: 3684.8521 - mse: 39747756.0000 - val_loss: 4072.1982 - val_mae: 4072.1982 - val_mse: 46172300.0000\n",
            "Epoch 15680/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3684.5054 - mae: 3684.5054 - mse: 39743096.0000 - val_loss: 4072.0005 - val_mae: 4072.0005 - val_mse: 46167132.0000\n",
            "Epoch 15681/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3684.1196 - mae: 3684.1196 - mse: 39738096.0000 - val_loss: 4071.8232 - val_mae: 4071.8232 - val_mse: 46162488.0000\n",
            "Epoch 15682/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3683.7637 - mae: 3683.7637 - mse: 39733424.0000 - val_loss: 4071.6523 - val_mae: 4071.6523 - val_mse: 46158036.0000\n",
            "Epoch 15683/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3683.3994 - mae: 3683.3994 - mse: 39728596.0000 - val_loss: 4071.4673 - val_mae: 4071.4673 - val_mse: 46153208.0000\n",
            "Epoch 15684/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3683.0283 - mae: 3683.0283 - mse: 39723824.0000 - val_loss: 4071.2744 - val_mae: 4071.2744 - val_mse: 46148184.0000\n",
            "Epoch 15685/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3682.6448 - mae: 3682.6448 - mse: 39718840.0000 - val_loss: 4071.0876 - val_mae: 4071.0876 - val_mse: 46143296.0000\n",
            "Epoch 15686/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3682.2839 - mae: 3682.2839 - mse: 39713608.0000 - val_loss: 4070.8967 - val_mae: 4070.8967 - val_mse: 46138308.0000\n",
            "Epoch 15687/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3681.9016 - mae: 3681.9016 - mse: 39708628.0000 - val_loss: 4070.7073 - val_mae: 4070.7073 - val_mse: 46133372.0000\n",
            "Epoch 15688/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3681.5156 - mae: 3681.5156 - mse: 39703340.0000 - val_loss: 4070.5095 - val_mae: 4070.5095 - val_mse: 46128208.0000\n",
            "Epoch 15689/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3681.1228 - mae: 3681.1228 - mse: 39698496.0000 - val_loss: 4070.3110 - val_mae: 4070.3110 - val_mse: 46123032.0000\n",
            "Epoch 15690/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3680.7371 - mae: 3680.7371 - mse: 39693308.0000 - val_loss: 4070.1174 - val_mae: 4070.1174 - val_mse: 46117984.0000\n",
            "Epoch 15691/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3680.3518 - mae: 3680.3518 - mse: 39688220.0000 - val_loss: 4069.9260 - val_mae: 4069.9260 - val_mse: 46112992.0000\n",
            "Epoch 15692/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3679.9695 - mae: 3679.9695 - mse: 39683088.0000 - val_loss: 4069.7339 - val_mae: 4069.7339 - val_mse: 46107980.0000\n",
            "Epoch 15693/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3679.5938 - mae: 3679.5938 - mse: 39677932.0000 - val_loss: 4069.5427 - val_mae: 4069.5427 - val_mse: 46102992.0000\n",
            "Epoch 15694/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3679.2065 - mae: 3679.2065 - mse: 39672788.0000 - val_loss: 4069.3547 - val_mae: 4069.3547 - val_mse: 46098100.0000\n",
            "Epoch 15695/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3678.8411 - mae: 3678.8411 - mse: 39668176.0000 - val_loss: 4069.1672 - val_mae: 4069.1672 - val_mse: 46093212.0000\n",
            "Epoch 15696/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3678.4763 - mae: 3678.4763 - mse: 39663288.0000 - val_loss: 4068.9878 - val_mae: 4068.9878 - val_mse: 46088524.0000\n",
            "Epoch 15697/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3678.1113 - mae: 3678.1113 - mse: 39658340.0000 - val_loss: 4068.7964 - val_mae: 4068.7964 - val_mse: 46083556.0000\n",
            "Epoch 15698/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3677.7161 - mae: 3677.7161 - mse: 39653156.0000 - val_loss: 4068.6133 - val_mae: 4068.6133 - val_mse: 46078772.0000\n",
            "Epoch 15699/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3677.3518 - mae: 3677.3518 - mse: 39648768.0000 - val_loss: 4068.4260 - val_mae: 4068.4260 - val_mse: 46073896.0000\n",
            "Epoch 15700/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3676.9805 - mae: 3676.9805 - mse: 39643784.0000 - val_loss: 4068.2363 - val_mae: 4068.2363 - val_mse: 46068960.0000\n",
            "Epoch 15701/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3676.6079 - mae: 3676.6079 - mse: 39638740.0000 - val_loss: 4068.0474 - val_mae: 4068.0474 - val_mse: 46064048.0000\n",
            "Epoch 15702/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3676.2397 - mae: 3676.2397 - mse: 39633628.0000 - val_loss: 4067.8506 - val_mae: 4067.8506 - val_mse: 46058924.0000\n",
            "Epoch 15703/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3675.8350 - mae: 3675.8350 - mse: 39627984.0000 - val_loss: 4067.6555 - val_mae: 4067.6555 - val_mse: 46053840.0000\n",
            "Epoch 15704/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3675.4768 - mae: 3675.4768 - mse: 39623344.0000 - val_loss: 4067.4458 - val_mae: 4067.4458 - val_mse: 46048384.0000\n",
            "Epoch 15705/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3675.0769 - mae: 3675.0769 - mse: 39617744.0000 - val_loss: 4067.2378 - val_mae: 4067.2378 - val_mse: 46042972.0000\n",
            "Epoch 15706/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3674.6653 - mae: 3674.6653 - mse: 39612204.0000 - val_loss: 4067.0342 - val_mae: 4067.0342 - val_mse: 46037680.0000\n",
            "Epoch 15707/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3674.2874 - mae: 3674.2874 - mse: 39606688.0000 - val_loss: 4066.8430 - val_mae: 4066.8430 - val_mse: 46032708.0000\n",
            "Epoch 15708/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3673.9124 - mae: 3673.9124 - mse: 39601920.0000 - val_loss: 4066.6577 - val_mae: 4066.6577 - val_mse: 46027884.0000\n",
            "Epoch 15709/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3673.5449 - mae: 3673.5449 - mse: 39597072.0000 - val_loss: 4066.4673 - val_mae: 4066.4673 - val_mse: 46022932.0000\n",
            "Epoch 15710/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3673.1692 - mae: 3673.1692 - mse: 39592128.0000 - val_loss: 4066.2678 - val_mae: 4066.2678 - val_mse: 46017752.0000\n",
            "Epoch 15711/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3672.7947 - mae: 3672.7947 - mse: 39586984.0000 - val_loss: 4066.0625 - val_mae: 4066.0625 - val_mse: 46012408.0000\n",
            "Epoch 15712/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3672.3860 - mae: 3672.3860 - mse: 39581112.0000 - val_loss: 4065.8589 - val_mae: 4065.8589 - val_mse: 46007132.0000\n",
            "Epoch 15713/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3672.0000 - mae: 3672.0000 - mse: 39576212.0000 - val_loss: 4065.6724 - val_mae: 4065.6724 - val_mse: 46002268.0000\n",
            "Epoch 15714/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3671.6597 - mae: 3671.6597 - mse: 39571460.0000 - val_loss: 4065.4832 - val_mae: 4065.4832 - val_mse: 45997360.0000\n",
            "Epoch 15715/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3671.2764 - mae: 3671.2764 - mse: 39566312.0000 - val_loss: 4065.2983 - val_mae: 4065.2983 - val_mse: 45992556.0000\n",
            "Epoch 15716/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3670.9138 - mae: 3670.9138 - mse: 39561260.0000 - val_loss: 4065.1052 - val_mae: 4065.1052 - val_mse: 45987548.0000\n",
            "Epoch 15717/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3670.5369 - mae: 3670.5369 - mse: 39556284.0000 - val_loss: 4064.9092 - val_mae: 4064.9092 - val_mse: 45982452.0000\n",
            "Epoch 15718/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3670.1582 - mae: 3670.1582 - mse: 39550856.0000 - val_loss: 4064.7122 - val_mae: 4064.7122 - val_mse: 45977336.0000\n",
            "Epoch 15719/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3669.7842 - mae: 3669.7842 - mse: 39545904.0000 - val_loss: 4064.5278 - val_mae: 4064.5278 - val_mse: 45972556.0000\n",
            "Epoch 15720/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3669.4224 - mae: 3669.4224 - mse: 39540956.0000 - val_loss: 4064.3521 - val_mae: 4064.3521 - val_mse: 45967980.0000\n",
            "Epoch 15721/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3669.0896 - mae: 3669.0896 - mse: 39536592.0000 - val_loss: 4064.1699 - val_mae: 4064.1699 - val_mse: 45963264.0000\n",
            "Epoch 15722/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3668.7302 - mae: 3668.7302 - mse: 39531624.0000 - val_loss: 4063.9863 - val_mae: 4063.9863 - val_mse: 45958488.0000\n",
            "Epoch 15723/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3668.3884 - mae: 3668.3884 - mse: 39527288.0000 - val_loss: 4063.7927 - val_mae: 4063.7927 - val_mse: 45953468.0000\n",
            "Epoch 15724/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3668.0156 - mae: 3668.0156 - mse: 39522120.0000 - val_loss: 4063.6174 - val_mae: 4063.6174 - val_mse: 45948924.0000\n",
            "Epoch 15725/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3667.6785 - mae: 3667.6785 - mse: 39517396.0000 - val_loss: 4063.4478 - val_mae: 4063.4478 - val_mse: 45944528.0000\n",
            "Epoch 15726/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3667.3574 - mae: 3667.3574 - mse: 39513100.0000 - val_loss: 4063.2859 - val_mae: 4063.2859 - val_mse: 45940324.0000\n",
            "Epoch 15727/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3667.0339 - mae: 3667.0339 - mse: 39508728.0000 - val_loss: 4063.1116 - val_mae: 4063.1116 - val_mse: 45935812.0000\n",
            "Epoch 15728/16000\n",
            "6/6 [==============================] - 0s 13ms/step - loss: 3666.6863 - mae: 3666.6863 - mse: 39503852.0000 - val_loss: 4062.9302 - val_mae: 4062.9302 - val_mse: 45931112.0000\n",
            "Epoch 15729/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3666.3079 - mae: 3666.3079 - mse: 39498868.0000 - val_loss: 4062.7324 - val_mae: 4062.7324 - val_mse: 45925984.0000\n",
            "Epoch 15730/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3665.9382 - mae: 3665.9382 - mse: 39493620.0000 - val_loss: 4062.5244 - val_mae: 4062.5244 - val_mse: 45920592.0000\n",
            "Epoch 15731/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3665.5317 - mae: 3665.5317 - mse: 39488084.0000 - val_loss: 4062.3181 - val_mae: 4062.3181 - val_mse: 45915244.0000\n",
            "Epoch 15732/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3665.1296 - mae: 3665.1296 - mse: 39482964.0000 - val_loss: 4062.1106 - val_mae: 4062.1106 - val_mse: 45909876.0000\n",
            "Epoch 15733/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3664.7383 - mae: 3664.7383 - mse: 39477700.0000 - val_loss: 4061.9146 - val_mae: 4061.9146 - val_mse: 45904792.0000\n",
            "Epoch 15734/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3664.3643 - mae: 3664.3643 - mse: 39472508.0000 - val_loss: 4061.7183 - val_mae: 4061.7183 - val_mse: 45899712.0000\n",
            "Epoch 15735/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3663.9688 - mae: 3663.9688 - mse: 39467244.0000 - val_loss: 4061.5088 - val_mae: 4061.5088 - val_mse: 45894284.0000\n",
            "Epoch 15736/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3663.5552 - mae: 3663.5552 - mse: 39461440.0000 - val_loss: 4061.2961 - val_mae: 4061.2961 - val_mse: 45888788.0000\n",
            "Epoch 15737/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3663.1289 - mae: 3663.1289 - mse: 39455716.0000 - val_loss: 4061.0847 - val_mae: 4061.0847 - val_mse: 45883304.0000\n",
            "Epoch 15738/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3662.7405 - mae: 3662.7405 - mse: 39450772.0000 - val_loss: 4060.8701 - val_mae: 4060.8701 - val_mse: 45877756.0000\n",
            "Epoch 15739/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3662.3308 - mae: 3662.3308 - mse: 39444684.0000 - val_loss: 4060.6592 - val_mae: 4060.6592 - val_mse: 45872300.0000\n",
            "Epoch 15740/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3661.9346 - mae: 3661.9346 - mse: 39439636.0000 - val_loss: 4060.4612 - val_mae: 4060.4612 - val_mse: 45867172.0000\n",
            "Epoch 15741/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3661.5496 - mae: 3661.5496 - mse: 39434404.0000 - val_loss: 4060.2622 - val_mae: 4060.2622 - val_mse: 45862036.0000\n",
            "Epoch 15742/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3661.1575 - mae: 3661.1575 - mse: 39429156.0000 - val_loss: 4060.0725 - val_mae: 4060.0725 - val_mse: 45857132.0000\n",
            "Epoch 15743/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3660.8052 - mae: 3660.8052 - mse: 39424448.0000 - val_loss: 4059.8779 - val_mae: 4059.8779 - val_mse: 45852096.0000\n",
            "Epoch 15744/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3660.4353 - mae: 3660.4353 - mse: 39419536.0000 - val_loss: 4059.7058 - val_mae: 4059.7058 - val_mse: 45847644.0000\n",
            "Epoch 15745/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3660.0945 - mae: 3660.0945 - mse: 39414856.0000 - val_loss: 4059.5308 - val_mae: 4059.5308 - val_mse: 45843124.0000\n",
            "Epoch 15746/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3659.7302 - mae: 3659.7302 - mse: 39409928.0000 - val_loss: 4059.3411 - val_mae: 4059.3411 - val_mse: 45838216.0000\n",
            "Epoch 15747/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3659.3682 - mae: 3659.3682 - mse: 39405156.0000 - val_loss: 4059.1411 - val_mae: 4059.1411 - val_mse: 45833040.0000\n",
            "Epoch 15748/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3658.9717 - mae: 3658.9717 - mse: 39399744.0000 - val_loss: 4058.9368 - val_mae: 4058.9368 - val_mse: 45827768.0000\n",
            "Epoch 15749/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3658.5796 - mae: 3658.5796 - mse: 39394096.0000 - val_loss: 4058.7363 - val_mae: 4058.7363 - val_mse: 45822588.0000\n",
            "Epoch 15750/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3658.1929 - mae: 3658.1929 - mse: 39389248.0000 - val_loss: 4058.5298 - val_mae: 4058.5298 - val_mse: 45817256.0000\n",
            "Epoch 15751/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3657.7922 - mae: 3657.7922 - mse: 39384000.0000 - val_loss: 4058.3315 - val_mae: 4058.3315 - val_mse: 45812144.0000\n",
            "Epoch 15752/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3657.4219 - mae: 3657.4219 - mse: 39378996.0000 - val_loss: 4058.1440 - val_mae: 4058.1440 - val_mse: 45807312.0000\n",
            "Epoch 15753/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3657.0522 - mae: 3657.0522 - mse: 39373648.0000 - val_loss: 4057.9626 - val_mae: 4057.9626 - val_mse: 45802624.0000\n",
            "Epoch 15754/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3656.7009 - mae: 3656.7009 - mse: 39369240.0000 - val_loss: 4057.7671 - val_mae: 4057.7671 - val_mse: 45797584.0000\n",
            "Epoch 15755/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3656.3147 - mae: 3656.3147 - mse: 39363820.0000 - val_loss: 4057.5747 - val_mae: 4057.5747 - val_mse: 45792612.0000\n",
            "Epoch 15756/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3655.9470 - mae: 3655.9470 - mse: 39358712.0000 - val_loss: 4057.3857 - val_mae: 4057.3857 - val_mse: 45787732.0000\n",
            "Epoch 15757/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3655.5908 - mae: 3655.5908 - mse: 39354212.0000 - val_loss: 4057.1836 - val_mae: 4057.1836 - val_mse: 45782520.0000\n",
            "Epoch 15758/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3655.1963 - mae: 3655.1963 - mse: 39348756.0000 - val_loss: 4056.9924 - val_mae: 4056.9924 - val_mse: 45777584.0000\n",
            "Epoch 15759/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3654.8311 - mae: 3654.8311 - mse: 39343972.0000 - val_loss: 4056.8008 - val_mae: 4056.8008 - val_mse: 45772640.0000\n",
            "Epoch 15760/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3654.4607 - mae: 3654.4607 - mse: 39339132.0000 - val_loss: 4056.6196 - val_mae: 4056.6196 - val_mse: 45767972.0000\n",
            "Epoch 15761/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3654.1184 - mae: 3654.1184 - mse: 39334108.0000 - val_loss: 4056.4551 - val_mae: 4056.4551 - val_mse: 45763732.0000\n",
            "Epoch 15762/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3653.8010 - mae: 3653.8010 - mse: 39329708.0000 - val_loss: 4056.2957 - val_mae: 4056.2957 - val_mse: 45759616.0000\n",
            "Epoch 15763/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3653.4722 - mae: 3653.4722 - mse: 39325312.0000 - val_loss: 4056.1121 - val_mae: 4056.1121 - val_mse: 45754896.0000\n",
            "Epoch 15764/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3653.1201 - mae: 3653.1201 - mse: 39320860.0000 - val_loss: 4055.9131 - val_mae: 4055.9131 - val_mse: 45749768.0000\n",
            "Epoch 15765/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3652.7356 - mae: 3652.7356 - mse: 39315796.0000 - val_loss: 4055.7229 - val_mae: 4055.7229 - val_mse: 45744868.0000\n",
            "Epoch 15766/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3652.3623 - mae: 3652.3623 - mse: 39310472.0000 - val_loss: 4055.5361 - val_mae: 4055.5361 - val_mse: 45740060.0000\n",
            "Epoch 15767/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3651.9973 - mae: 3651.9973 - mse: 39305540.0000 - val_loss: 4055.3513 - val_mae: 4055.3513 - val_mse: 45735296.0000\n",
            "Epoch 15768/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3651.6411 - mae: 3651.6411 - mse: 39300912.0000 - val_loss: 4055.1462 - val_mae: 4055.1462 - val_mse: 45730024.0000\n",
            "Epoch 15769/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3651.2393 - mae: 3651.2393 - mse: 39295536.0000 - val_loss: 4054.9497 - val_mae: 4054.9502 - val_mse: 45724960.0000\n",
            "Epoch 15770/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3650.8669 - mae: 3650.8669 - mse: 39290232.0000 - val_loss: 4054.7439 - val_mae: 4054.7439 - val_mse: 45719660.0000\n",
            "Epoch 15771/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3650.4482 - mae: 3650.4482 - mse: 39284992.0000 - val_loss: 4054.5510 - val_mae: 4054.5510 - val_mse: 45714696.0000\n",
            "Epoch 15772/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3650.0945 - mae: 3650.0945 - mse: 39280140.0000 - val_loss: 4054.3457 - val_mae: 4054.3457 - val_mse: 45709408.0000\n",
            "Epoch 15773/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3649.6855 - mae: 3649.6855 - mse: 39274460.0000 - val_loss: 4054.1516 - val_mae: 4054.1516 - val_mse: 45704416.0000\n",
            "Epoch 15774/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3649.3044 - mae: 3649.3044 - mse: 39269364.0000 - val_loss: 4053.9465 - val_mae: 4053.9465 - val_mse: 45699144.0000\n",
            "Epoch 15775/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3648.9077 - mae: 3648.9077 - mse: 39264196.0000 - val_loss: 4053.7385 - val_mae: 4053.7385 - val_mse: 45693804.0000\n",
            "Epoch 15776/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3648.4954 - mae: 3648.4954 - mse: 39258772.0000 - val_loss: 4053.5305 - val_mae: 4053.5305 - val_mse: 45688444.0000\n",
            "Epoch 15777/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3648.1013 - mae: 3648.1013 - mse: 39253100.0000 - val_loss: 4053.3254 - val_mae: 4053.3254 - val_mse: 45683168.0000\n",
            "Epoch 15778/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3647.7188 - mae: 3647.7188 - mse: 39248128.0000 - val_loss: 4053.1228 - val_mae: 4053.1228 - val_mse: 45677964.0000\n",
            "Epoch 15779/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3647.3208 - mae: 3647.3208 - mse: 39242980.0000 - val_loss: 4052.9146 - val_mae: 4052.9146 - val_mse: 45672612.0000\n",
            "Epoch 15780/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3646.9287 - mae: 3646.9287 - mse: 39237348.0000 - val_loss: 4052.7141 - val_mae: 4052.7141 - val_mse: 45667464.0000\n",
            "Epoch 15781/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3646.5278 - mae: 3646.5278 - mse: 39232372.0000 - val_loss: 4052.5259 - val_mae: 4052.5259 - val_mse: 45662628.0000\n",
            "Epoch 15782/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3646.1602 - mae: 3646.1602 - mse: 39227184.0000 - val_loss: 4052.3315 - val_mae: 4052.3315 - val_mse: 45657632.0000\n",
            "Epoch 15783/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3645.7839 - mae: 3645.7839 - mse: 39222308.0000 - val_loss: 4052.1299 - val_mae: 4052.1299 - val_mse: 45652448.0000\n",
            "Epoch 15784/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3645.3940 - mae: 3645.3940 - mse: 39217080.0000 - val_loss: 4051.9189 - val_mae: 4051.9189 - val_mse: 45647040.0000\n",
            "Epoch 15785/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3644.9709 - mae: 3644.9709 - mse: 39211256.0000 - val_loss: 4051.7100 - val_mae: 4051.7100 - val_mse: 45641672.0000\n",
            "Epoch 15786/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3644.5769 - mae: 3644.5769 - mse: 39205688.0000 - val_loss: 4051.4961 - val_mae: 4051.4961 - val_mse: 45636188.0000\n",
            "Epoch 15787/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3644.1726 - mae: 3644.1726 - mse: 39200368.0000 - val_loss: 4051.3052 - val_mae: 4051.3052 - val_mse: 45631280.0000\n",
            "Epoch 15788/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3643.7996 - mae: 3643.7996 - mse: 39195600.0000 - val_loss: 4051.0964 - val_mae: 4051.0964 - val_mse: 45625924.0000\n",
            "Epoch 15789/16000\n",
            "6/6 [==============================] - 0s 15ms/step - loss: 3643.3887 - mae: 3643.3887 - mse: 39190164.0000 - val_loss: 4050.8928 - val_mae: 4050.8928 - val_mse: 45620704.0000\n",
            "Epoch 15790/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3643.0054 - mae: 3643.0054 - mse: 39185088.0000 - val_loss: 4050.7043 - val_mae: 4050.7043 - val_mse: 45615868.0000\n",
            "Epoch 15791/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3642.6365 - mae: 3642.6365 - mse: 39180096.0000 - val_loss: 4050.5212 - val_mae: 4050.5212 - val_mse: 45611184.0000\n",
            "Epoch 15792/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3642.2861 - mae: 3642.2861 - mse: 39175188.0000 - val_loss: 4050.3179 - val_mae: 4050.3179 - val_mse: 45605968.0000\n",
            "Epoch 15793/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3641.8887 - mae: 3641.8887 - mse: 39169824.0000 - val_loss: 4050.1204 - val_mae: 4050.1204 - val_mse: 45600892.0000\n",
            "Epoch 15794/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3641.5054 - mae: 3641.5054 - mse: 39164708.0000 - val_loss: 4049.9285 - val_mae: 4049.9285 - val_mse: 45595972.0000\n",
            "Epoch 15795/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3641.1377 - mae: 3641.1377 - mse: 39159548.0000 - val_loss: 4049.7261 - val_mae: 4049.7261 - val_mse: 45590784.0000\n",
            "Epoch 15796/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3640.7390 - mae: 3640.7390 - mse: 39154532.0000 - val_loss: 4049.5217 - val_mae: 4049.5217 - val_mse: 45585556.0000\n",
            "Epoch 15797/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3640.3342 - mae: 3640.3342 - mse: 39149092.0000 - val_loss: 4049.3220 - val_mae: 4049.3220 - val_mse: 45580436.0000\n",
            "Epoch 15798/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3639.9587 - mae: 3639.9587 - mse: 39144044.0000 - val_loss: 4049.1311 - val_mae: 4049.1311 - val_mse: 45575536.0000\n",
            "Epoch 15799/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3639.5884 - mae: 3639.5884 - mse: 39139064.0000 - val_loss: 4048.9414 - val_mae: 4048.9414 - val_mse: 45570692.0000\n",
            "Epoch 15800/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3639.2229 - mae: 3639.2229 - mse: 39134348.0000 - val_loss: 4048.7554 - val_mae: 4048.7554 - val_mse: 45565916.0000\n",
            "Epoch 15801/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3638.8667 - mae: 3638.8667 - mse: 39129484.0000 - val_loss: 4048.5632 - val_mae: 4048.5632 - val_mse: 45561008.0000\n",
            "Epoch 15802/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3638.4993 - mae: 3638.4993 - mse: 39124544.0000 - val_loss: 4048.3711 - val_mae: 4048.3711 - val_mse: 45556084.0000\n",
            "Epoch 15803/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3638.1052 - mae: 3638.1052 - mse: 39119356.0000 - val_loss: 4048.1697 - val_mae: 4048.1697 - val_mse: 45550924.0000\n",
            "Epoch 15804/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3637.7019 - mae: 3637.7019 - mse: 39113684.0000 - val_loss: 4047.9695 - val_mae: 4047.9695 - val_mse: 45545808.0000\n",
            "Epoch 15805/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3637.3159 - mae: 3637.3159 - mse: 39108912.0000 - val_loss: 4047.7615 - val_mae: 4047.7615 - val_mse: 45540488.0000\n",
            "Epoch 15806/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3636.9138 - mae: 3636.9138 - mse: 39103548.0000 - val_loss: 4047.5535 - val_mae: 4047.5535 - val_mse: 45535156.0000\n",
            "Epoch 15807/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3636.5190 - mae: 3636.5190 - mse: 39097984.0000 - val_loss: 4047.3452 - val_mae: 4047.3452 - val_mse: 45529844.0000\n",
            "Epoch 15808/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3636.1216 - mae: 3636.1216 - mse: 39092872.0000 - val_loss: 4047.1379 - val_mae: 4047.1379 - val_mse: 45524540.0000\n",
            "Epoch 15809/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3635.7241 - mae: 3635.7241 - mse: 39087492.0000 - val_loss: 4046.9382 - val_mae: 4046.9382 - val_mse: 45519436.0000\n",
            "Epoch 15810/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3635.3398 - mae: 3635.3398 - mse: 39082316.0000 - val_loss: 4046.7363 - val_mae: 4046.7363 - val_mse: 45514260.0000\n",
            "Epoch 15811/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3634.9482 - mae: 3634.9482 - mse: 39076932.0000 - val_loss: 4046.5442 - val_mae: 4046.5442 - val_mse: 45509364.0000\n",
            "Epoch 15812/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3634.5713 - mae: 3634.5713 - mse: 39072048.0000 - val_loss: 4046.3521 - val_mae: 4046.3521 - val_mse: 45504448.0000\n",
            "Epoch 15813/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3634.2039 - mae: 3634.2039 - mse: 39067020.0000 - val_loss: 4046.1619 - val_mae: 4046.1619 - val_mse: 45499588.0000\n",
            "Epoch 15814/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3633.8403 - mae: 3633.8403 - mse: 39062304.0000 - val_loss: 4045.9756 - val_mae: 4045.9756 - val_mse: 45494828.0000\n",
            "Epoch 15815/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3633.4797 - mae: 3633.4797 - mse: 39057388.0000 - val_loss: 4045.8069 - val_mae: 4045.8069 - val_mse: 45490220.0000\n",
            "Epoch 15816/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3633.1162 - mae: 3633.1162 - mse: 39052436.0000 - val_loss: 4045.6367 - val_mae: 4045.6367 - val_mse: 45485372.0000\n",
            "Epoch 15817/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3632.7703 - mae: 3632.7703 - mse: 39047800.0000 - val_loss: 4045.4585 - val_mae: 4045.4585 - val_mse: 45480268.0000\n",
            "Epoch 15818/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3632.3716 - mae: 3632.3716 - mse: 39042524.0000 - val_loss: 4045.2874 - val_mae: 4045.2874 - val_mse: 45475380.0000\n",
            "Epoch 15819/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3632.0042 - mae: 3632.0042 - mse: 39037600.0000 - val_loss: 4045.1038 - val_mae: 4045.1038 - val_mse: 45470140.0000\n",
            "Epoch 15820/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3631.6169 - mae: 3631.6169 - mse: 39032228.0000 - val_loss: 4044.9280 - val_mae: 4044.9280 - val_mse: 45465124.0000\n",
            "Epoch 15821/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3631.2556 - mae: 3631.2556 - mse: 39027252.0000 - val_loss: 4044.7644 - val_mae: 4044.7644 - val_mse: 45460452.0000\n",
            "Epoch 15822/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3630.9055 - mae: 3630.9055 - mse: 39022272.0000 - val_loss: 4044.5979 - val_mae: 4044.5979 - val_mse: 45455688.0000\n",
            "Epoch 15823/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3630.5422 - mae: 3630.5422 - mse: 39017616.0000 - val_loss: 4044.4307 - val_mae: 4044.4307 - val_mse: 45450928.0000\n",
            "Epoch 15824/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3630.1902 - mae: 3630.1902 - mse: 39012728.0000 - val_loss: 4044.2607 - val_mae: 4044.2607 - val_mse: 45446060.0000\n",
            "Epoch 15825/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3629.8303 - mae: 3629.8303 - mse: 39008316.0000 - val_loss: 4044.0854 - val_mae: 4044.0854 - val_mse: 45441060.0000\n",
            "Epoch 15826/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3629.4551 - mae: 3629.4551 - mse: 39002820.0000 - val_loss: 4043.9253 - val_mae: 4043.9253 - val_mse: 45436492.0000\n",
            "Epoch 15827/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3629.1250 - mae: 3629.1250 - mse: 38998592.0000 - val_loss: 4043.7676 - val_mae: 4043.7676 - val_mse: 45431984.0000\n",
            "Epoch 15828/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3628.7661 - mae: 3628.7661 - mse: 38993412.0000 - val_loss: 4043.5991 - val_mae: 4043.5991 - val_mse: 45427188.0000\n",
            "Epoch 15829/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3628.4050 - mae: 3628.4050 - mse: 38988648.0000 - val_loss: 4043.4185 - val_mae: 4043.4185 - val_mse: 45422044.0000\n",
            "Epoch 15830/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3628.0073 - mae: 3628.0073 - mse: 38983248.0000 - val_loss: 4043.2393 - val_mae: 4043.2390 - val_mse: 45416916.0000\n",
            "Epoch 15831/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3627.6223 - mae: 3627.6223 - mse: 38978200.0000 - val_loss: 4043.0525 - val_mae: 4043.0525 - val_mse: 45411596.0000\n",
            "Epoch 15832/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3627.2268 - mae: 3627.2268 - mse: 38972464.0000 - val_loss: 4042.8770 - val_mae: 4042.8770 - val_mse: 45406600.0000\n",
            "Epoch 15833/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3626.8655 - mae: 3626.8655 - mse: 38967796.0000 - val_loss: 4042.6943 - val_mae: 4042.6943 - val_mse: 45401392.0000\n",
            "Epoch 15834/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3626.4707 - mae: 3626.4707 - mse: 38962536.0000 - val_loss: 4042.5352 - val_mae: 4042.5352 - val_mse: 45396856.0000\n",
            "Epoch 15835/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3626.1555 - mae: 3626.1555 - mse: 38957988.0000 - val_loss: 4042.3840 - val_mae: 4042.3840 - val_mse: 45392556.0000\n",
            "Epoch 15836/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3625.8240 - mae: 3625.8240 - mse: 38953864.0000 - val_loss: 4042.2263 - val_mae: 4042.2263 - val_mse: 45388064.0000\n",
            "Epoch 15837/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3625.4783 - mae: 3625.4783 - mse: 38949128.0000 - val_loss: 4042.0576 - val_mae: 4042.0576 - val_mse: 45383260.0000\n",
            "Epoch 15838/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3625.1108 - mae: 3625.1108 - mse: 38944268.0000 - val_loss: 4041.8826 - val_mae: 4041.8826 - val_mse: 45378268.0000\n",
            "Epoch 15839/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3624.7305 - mae: 3624.7305 - mse: 38939156.0000 - val_loss: 4041.7087 - val_mae: 4041.7087 - val_mse: 45373332.0000\n",
            "Epoch 15840/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3624.3674 - mae: 3624.3674 - mse: 38934060.0000 - val_loss: 4041.5334 - val_mae: 4041.5334 - val_mse: 45368340.0000\n",
            "Epoch 15841/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3624.0042 - mae: 3624.0042 - mse: 38929132.0000 - val_loss: 4041.3694 - val_mae: 4041.3694 - val_mse: 45363656.0000\n",
            "Epoch 15842/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3623.6414 - mae: 3623.6414 - mse: 38924388.0000 - val_loss: 4041.2053 - val_mae: 4041.2053 - val_mse: 45358996.0000\n",
            "Epoch 15843/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3623.2834 - mae: 3623.2834 - mse: 38919644.0000 - val_loss: 4041.0352 - val_mae: 4041.0352 - val_mse: 45354148.0000\n",
            "Epoch 15844/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3622.9258 - mae: 3622.9258 - mse: 38914728.0000 - val_loss: 4040.8560 - val_mae: 4040.8560 - val_mse: 45349060.0000\n",
            "Epoch 15845/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3622.5454 - mae: 3622.5454 - mse: 38909576.0000 - val_loss: 4040.6802 - val_mae: 4040.6802 - val_mse: 45344056.0000\n",
            "Epoch 15846/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3622.1636 - mae: 3622.1636 - mse: 38904668.0000 - val_loss: 4040.5046 - val_mae: 4040.5046 - val_mse: 45339056.0000\n",
            "Epoch 15847/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3621.7842 - mae: 3621.7842 - mse: 38899152.0000 - val_loss: 4040.3259 - val_mae: 4040.3259 - val_mse: 45333980.0000\n",
            "Epoch 15848/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3621.3953 - mae: 3621.3953 - mse: 38894184.0000 - val_loss: 4040.1514 - val_mae: 4040.1514 - val_mse: 45329016.0000\n",
            "Epoch 15849/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3621.0300 - mae: 3621.0300 - mse: 38888996.0000 - val_loss: 4039.9695 - val_mae: 4039.9695 - val_mse: 45323864.0000\n",
            "Epoch 15850/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3620.6421 - mae: 3620.6421 - mse: 38883760.0000 - val_loss: 4039.8086 - val_mae: 4039.8086 - val_mse: 45319276.0000\n",
            "Epoch 15851/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3620.3147 - mae: 3620.3147 - mse: 38879312.0000 - val_loss: 4039.6418 - val_mae: 4039.6418 - val_mse: 45314540.0000\n",
            "Epoch 15852/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3619.9441 - mae: 3619.9441 - mse: 38874396.0000 - val_loss: 4039.4641 - val_mae: 4039.4641 - val_mse: 45309496.0000\n",
            "Epoch 15853/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3619.5557 - mae: 3619.5557 - mse: 38869340.0000 - val_loss: 4039.2859 - val_mae: 4039.2859 - val_mse: 45304428.0000\n",
            "Epoch 15854/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3619.1714 - mae: 3619.1714 - mse: 38864288.0000 - val_loss: 4039.1047 - val_mae: 4039.1047 - val_mse: 45299276.0000\n",
            "Epoch 15855/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3618.7827 - mae: 3618.7827 - mse: 38858772.0000 - val_loss: 4038.9185 - val_mae: 4038.9185 - val_mse: 45293996.0000\n",
            "Epoch 15856/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3618.3804 - mae: 3618.3804 - mse: 38853652.0000 - val_loss: 4038.7283 - val_mae: 4038.7283 - val_mse: 45288588.0000\n",
            "Epoch 15857/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3617.9749 - mae: 3617.9749 - mse: 38847800.0000 - val_loss: 4038.5388 - val_mae: 4038.5388 - val_mse: 45283216.0000\n",
            "Epoch 15858/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3617.5830 - mae: 3617.5830 - mse: 38842632.0000 - val_loss: 4038.3506 - val_mae: 4038.3506 - val_mse: 45277872.0000\n",
            "Epoch 15859/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3617.1895 - mae: 3617.1895 - mse: 38837432.0000 - val_loss: 4038.1802 - val_mae: 4038.1802 - val_mse: 45273040.0000\n",
            "Epoch 15860/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3616.8228 - mae: 3616.8228 - mse: 38832460.0000 - val_loss: 4038.0046 - val_mae: 4038.0046 - val_mse: 45268048.0000\n",
            "Epoch 15861/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3616.4382 - mae: 3616.4382 - mse: 38827356.0000 - val_loss: 4037.8208 - val_mae: 4037.8208 - val_mse: 45262856.0000\n",
            "Epoch 15862/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3616.0603 - mae: 3616.0603 - mse: 38821804.0000 - val_loss: 4037.6448 - val_mae: 4037.6448 - val_mse: 45257852.0000\n",
            "Epoch 15863/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3615.6921 - mae: 3615.6921 - mse: 38816716.0000 - val_loss: 4037.4695 - val_mae: 4037.4695 - val_mse: 45252880.0000\n",
            "Epoch 15864/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3615.3079 - mae: 3615.3079 - mse: 38811804.0000 - val_loss: 4037.2896 - val_mae: 4037.2896 - val_mse: 45247792.0000\n",
            "Epoch 15865/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3614.9404 - mae: 3614.9404 - mse: 38806792.0000 - val_loss: 4037.0991 - val_mae: 4037.0991 - val_mse: 45242380.0000\n",
            "Epoch 15866/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3614.5369 - mae: 3614.5369 - mse: 38801344.0000 - val_loss: 4036.9207 - val_mae: 4036.9207 - val_mse: 45237336.0000\n",
            "Epoch 15867/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3614.1624 - mae: 3614.1624 - mse: 38795920.0000 - val_loss: 4036.7554 - val_mae: 4036.7554 - val_mse: 45232636.0000\n",
            "Epoch 15868/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3613.8044 - mae: 3613.8044 - mse: 38791212.0000 - val_loss: 4036.5801 - val_mae: 4036.5801 - val_mse: 45227668.0000\n",
            "Epoch 15869/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3613.4421 - mae: 3613.4421 - mse: 38786408.0000 - val_loss: 4036.4016 - val_mae: 4036.4016 - val_mse: 45222632.0000\n",
            "Epoch 15870/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3613.0681 - mae: 3613.0681 - mse: 38781252.0000 - val_loss: 4036.2373 - val_mae: 4036.2373 - val_mse: 45217972.0000\n",
            "Epoch 15871/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3612.7112 - mae: 3612.7112 - mse: 38776336.0000 - val_loss: 4036.0671 - val_mae: 4036.0671 - val_mse: 45213152.0000\n",
            "Epoch 15872/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3612.3545 - mae: 3612.3545 - mse: 38771692.0000 - val_loss: 4035.8872 - val_mae: 4035.8872 - val_mse: 45208056.0000\n",
            "Epoch 15873/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3611.9788 - mae: 3611.9788 - mse: 38766444.0000 - val_loss: 4035.7122 - val_mae: 4035.7122 - val_mse: 45203104.0000\n",
            "Epoch 15874/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3611.6150 - mae: 3611.6150 - mse: 38761880.0000 - val_loss: 4035.5476 - val_mae: 4035.5476 - val_mse: 45198448.0000\n",
            "Epoch 15875/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3611.2588 - mae: 3611.2588 - mse: 38756452.0000 - val_loss: 4035.3826 - val_mae: 4035.3826 - val_mse: 45193780.0000\n",
            "Epoch 15876/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3610.9092 - mae: 3610.9092 - mse: 38752068.0000 - val_loss: 4035.2073 - val_mae: 4035.2073 - val_mse: 45188836.0000\n",
            "Epoch 15877/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3610.5427 - mae: 3610.5427 - mse: 38746800.0000 - val_loss: 4035.0308 - val_mae: 4035.0308 - val_mse: 45183828.0000\n",
            "Epoch 15878/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3610.1616 - mae: 3610.1616 - mse: 38741576.0000 - val_loss: 4034.8599 - val_mae: 4034.8599 - val_mse: 45178988.0000\n",
            "Epoch 15879/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3609.7996 - mae: 3609.7996 - mse: 38736708.0000 - val_loss: 4034.6753 - val_mae: 4034.6753 - val_mse: 45173772.0000\n",
            "Epoch 15880/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3609.4006 - mae: 3609.4006 - mse: 38731016.0000 - val_loss: 4034.4878 - val_mae: 4034.4878 - val_mse: 45168468.0000\n",
            "Epoch 15881/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3609.0110 - mae: 3609.0110 - mse: 38726108.0000 - val_loss: 4034.2949 - val_mae: 4034.2949 - val_mse: 45163028.0000\n",
            "Epoch 15882/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3608.5957 - mae: 3608.5957 - mse: 38720320.0000 - val_loss: 4034.1038 - val_mae: 4034.1038 - val_mse: 45157620.0000\n",
            "Epoch 15883/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3608.2073 - mae: 3608.2073 - mse: 38715000.0000 - val_loss: 4033.9153 - val_mae: 4033.9150 - val_mse: 45152292.0000\n",
            "Epoch 15884/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3607.8311 - mae: 3607.8311 - mse: 38710164.0000 - val_loss: 4033.7576 - val_mae: 4033.7576 - val_mse: 45147840.0000\n",
            "Epoch 15885/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3607.4951 - mae: 3607.4951 - mse: 38705428.0000 - val_loss: 4033.6028 - val_mae: 4033.6028 - val_mse: 45143460.0000\n",
            "Epoch 15886/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3607.1719 - mae: 3607.1719 - mse: 38701220.0000 - val_loss: 4033.4451 - val_mae: 4033.4451 - val_mse: 45139024.0000\n",
            "Epoch 15887/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3606.8416 - mae: 3606.8416 - mse: 38696548.0000 - val_loss: 4033.2842 - val_mae: 4033.2842 - val_mse: 45134468.0000\n",
            "Epoch 15888/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3606.4890 - mae: 3606.4890 - mse: 38691848.0000 - val_loss: 4033.1211 - val_mae: 4033.1211 - val_mse: 45129872.0000\n",
            "Epoch 15889/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3606.1616 - mae: 3606.1616 - mse: 38687524.0000 - val_loss: 4032.9543 - val_mae: 4032.9543 - val_mse: 45125156.0000\n",
            "Epoch 15890/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3605.7961 - mae: 3605.7961 - mse: 38682332.0000 - val_loss: 4032.7915 - val_mae: 4032.7915 - val_mse: 45120560.0000\n",
            "Epoch 15891/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3605.4314 - mae: 3605.4314 - mse: 38677368.0000 - val_loss: 4032.6257 - val_mae: 4032.6257 - val_mse: 45115892.0000\n",
            "Epoch 15892/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3605.1025 - mae: 3605.1025 - mse: 38673216.0000 - val_loss: 4032.4539 - val_mae: 4032.4539 - val_mse: 45111036.0000\n",
            "Epoch 15893/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3604.7288 - mae: 3604.7288 - mse: 38668140.0000 - val_loss: 4032.2964 - val_mae: 4032.2964 - val_mse: 45106596.0000\n",
            "Epoch 15894/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3604.4055 - mae: 3604.4055 - mse: 38663780.0000 - val_loss: 4032.1401 - val_mae: 4032.1401 - val_mse: 45102180.0000\n",
            "Epoch 15895/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3604.0740 - mae: 3604.0740 - mse: 38658820.0000 - val_loss: 4031.9756 - val_mae: 4031.9756 - val_mse: 45097564.0000\n",
            "Epoch 15896/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3603.7253 - mae: 3603.7253 - mse: 38654272.0000 - val_loss: 4031.8132 - val_mae: 4031.8132 - val_mse: 45092976.0000\n",
            "Epoch 15897/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3603.3857 - mae: 3603.3857 - mse: 38649556.0000 - val_loss: 4031.6555 - val_mae: 4031.6555 - val_mse: 45088520.0000\n",
            "Epoch 15898/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3603.0510 - mae: 3603.0510 - mse: 38644976.0000 - val_loss: 4031.4832 - val_mae: 4031.4832 - val_mse: 45083660.0000\n",
            "Epoch 15899/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3602.6868 - mae: 3602.6868 - mse: 38639988.0000 - val_loss: 4031.3105 - val_mae: 4031.3105 - val_mse: 45078804.0000\n",
            "Epoch 15900/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3602.3096 - mae: 3602.3096 - mse: 38635096.0000 - val_loss: 4031.1333 - val_mae: 4031.1333 - val_mse: 45073812.0000\n",
            "Epoch 15901/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3601.9536 - mae: 3601.9536 - mse: 38629900.0000 - val_loss: 4030.9504 - val_mae: 4030.9504 - val_mse: 45068652.0000\n",
            "Epoch 15902/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3601.5542 - mae: 3601.5542 - mse: 38625008.0000 - val_loss: 4030.7766 - val_mae: 4030.7766 - val_mse: 45063756.0000\n",
            "Epoch 15903/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3601.1860 - mae: 3601.1860 - mse: 38619608.0000 - val_loss: 4030.6082 - val_mae: 4030.6082 - val_mse: 45059008.0000\n",
            "Epoch 15904/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3600.8425 - mae: 3600.8425 - mse: 38615204.0000 - val_loss: 4030.4417 - val_mae: 4030.4417 - val_mse: 45054328.0000\n",
            "Epoch 15905/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3600.4763 - mae: 3600.4763 - mse: 38610240.0000 - val_loss: 4030.2705 - val_mae: 4030.2705 - val_mse: 45049500.0000\n",
            "Epoch 15906/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3600.1223 - mae: 3600.1223 - mse: 38605340.0000 - val_loss: 4030.0950 - val_mae: 4030.0950 - val_mse: 45044568.0000\n",
            "Epoch 15907/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3599.7717 - mae: 3599.7717 - mse: 38600552.0000 - val_loss: 4029.9231 - val_mae: 4029.9231 - val_mse: 45039736.0000\n",
            "Epoch 15908/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3599.3921 - mae: 3599.3921 - mse: 38595552.0000 - val_loss: 4029.7644 - val_mae: 4029.7644 - val_mse: 45035268.0000\n",
            "Epoch 15909/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3599.0430 - mae: 3599.0430 - mse: 38590976.0000 - val_loss: 4029.5952 - val_mae: 4029.5952 - val_mse: 45030500.0000\n",
            "Epoch 15910/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3598.6880 - mae: 3598.6880 - mse: 38586048.0000 - val_loss: 4029.4275 - val_mae: 4029.4275 - val_mse: 45025792.0000\n",
            "Epoch 15911/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3598.3503 - mae: 3598.3503 - mse: 38581720.0000 - val_loss: 4029.2683 - val_mae: 4029.2683 - val_mse: 45021316.0000\n",
            "Epoch 15912/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3598.0100 - mae: 3598.0100 - mse: 38576980.0000 - val_loss: 4029.1106 - val_mae: 4029.1106 - val_mse: 45016880.0000\n",
            "Epoch 15913/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3597.6619 - mae: 3597.6619 - mse: 38572100.0000 - val_loss: 4028.9375 - val_mae: 4028.9375 - val_mse: 45012008.0000\n",
            "Epoch 15914/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3597.2996 - mae: 3597.2996 - mse: 38567296.0000 - val_loss: 4028.7634 - val_mae: 4028.7634 - val_mse: 45007116.0000\n",
            "Epoch 15915/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3596.9319 - mae: 3596.9319 - mse: 38562036.0000 - val_loss: 4028.5801 - val_mae: 4028.5803 - val_mse: 45001960.0000\n",
            "Epoch 15916/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3596.5420 - mae: 3596.5420 - mse: 38556928.0000 - val_loss: 4028.4009 - val_mae: 4028.4009 - val_mse: 44996920.0000\n",
            "Epoch 15917/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3596.1870 - mae: 3596.1870 - mse: 38552176.0000 - val_loss: 4028.2234 - val_mae: 4028.2234 - val_mse: 44991936.0000\n",
            "Epoch 15918/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3595.8208 - mae: 3595.8208 - mse: 38547180.0000 - val_loss: 4028.0447 - val_mae: 4028.0447 - val_mse: 44986928.0000\n",
            "Epoch 15919/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3595.4580 - mae: 3595.4580 - mse: 38542228.0000 - val_loss: 4027.8901 - val_mae: 4027.8901 - val_mse: 44982576.0000\n",
            "Epoch 15920/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3595.1445 - mae: 3595.1445 - mse: 38537936.0000 - val_loss: 4027.7417 - val_mae: 4027.7417 - val_mse: 44978400.0000\n",
            "Epoch 15921/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3594.8350 - mae: 3594.8350 - mse: 38533396.0000 - val_loss: 4027.5891 - val_mae: 4027.5891 - val_mse: 44974128.0000\n",
            "Epoch 15922/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3594.5186 - mae: 3594.5186 - mse: 38529300.0000 - val_loss: 4027.4307 - val_mae: 4027.4307 - val_mse: 44969668.0000\n",
            "Epoch 15923/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3594.1802 - mae: 3594.1802 - mse: 38524600.0000 - val_loss: 4027.2651 - val_mae: 4027.2651 - val_mse: 44965044.0000\n",
            "Epoch 15924/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3593.8364 - mae: 3593.8364 - mse: 38519648.0000 - val_loss: 4027.0945 - val_mae: 4027.0945 - val_mse: 44960232.0000\n",
            "Epoch 15925/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3593.4871 - mae: 3593.4871 - mse: 38514960.0000 - val_loss: 4026.9165 - val_mae: 4026.9165 - val_mse: 44955256.0000\n",
            "Epoch 15926/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3593.1353 - mae: 3593.1353 - mse: 38509960.0000 - val_loss: 4026.7366 - val_mae: 4026.7366 - val_mse: 44950196.0000\n",
            "Epoch 15927/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3592.7732 - mae: 3592.7732 - mse: 38504824.0000 - val_loss: 4026.5620 - val_mae: 4026.5620 - val_mse: 44945308.0000\n",
            "Epoch 15928/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3592.4128 - mae: 3592.4128 - mse: 38499440.0000 - val_loss: 4026.3857 - val_mae: 4026.3857 - val_mse: 44940368.0000\n",
            "Epoch 15929/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3592.0308 - mae: 3592.0308 - mse: 38494916.0000 - val_loss: 4026.2134 - val_mae: 4026.2134 - val_mse: 44935544.0000\n",
            "Epoch 15930/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3591.6748 - mae: 3591.6748 - mse: 38489536.0000 - val_loss: 4026.0291 - val_mae: 4026.0291 - val_mse: 44930352.0000\n",
            "Epoch 15931/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3591.2908 - mae: 3591.2908 - mse: 38484156.0000 - val_loss: 4025.8533 - val_mae: 4025.8533 - val_mse: 44925432.0000\n",
            "Epoch 15932/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3590.9558 - mae: 3590.9558 - mse: 38479664.0000 - val_loss: 4025.6689 - val_mae: 4025.6689 - val_mse: 44920264.0000\n",
            "Epoch 15933/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3590.5686 - mae: 3590.5686 - mse: 38474148.0000 - val_loss: 4025.4973 - val_mae: 4025.4973 - val_mse: 44915456.0000\n",
            "Epoch 15934/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3590.2046 - mae: 3590.2046 - mse: 38469152.0000 - val_loss: 4025.3293 - val_mae: 4025.3293 - val_mse: 44910740.0000\n",
            "Epoch 15935/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3589.8479 - mae: 3589.8479 - mse: 38464072.0000 - val_loss: 4025.1501 - val_mae: 4025.1501 - val_mse: 44905736.0000\n",
            "Epoch 15936/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3589.5122 - mae: 3589.5122 - mse: 38459408.0000 - val_loss: 4024.9749 - val_mae: 4024.9749 - val_mse: 44900828.0000\n",
            "Epoch 15937/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3589.1406 - mae: 3589.1406 - mse: 38454396.0000 - val_loss: 4024.8018 - val_mae: 4024.8018 - val_mse: 44895988.0000\n",
            "Epoch 15938/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3588.7791 - mae: 3588.7791 - mse: 38449516.0000 - val_loss: 4024.6262 - val_mae: 4024.6262 - val_mse: 44891060.0000\n",
            "Epoch 15939/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3588.4265 - mae: 3588.4265 - mse: 38444504.0000 - val_loss: 4024.4512 - val_mae: 4024.4512 - val_mse: 44886168.0000\n",
            "Epoch 15940/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3588.0637 - mae: 3588.0637 - mse: 38439160.0000 - val_loss: 4024.2710 - val_mae: 4024.2710 - val_mse: 44881120.0000\n",
            "Epoch 15941/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3587.7024 - mae: 3587.7024 - mse: 38434384.0000 - val_loss: 4024.0952 - val_mae: 4024.0952 - val_mse: 44876208.0000\n",
            "Epoch 15942/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3587.3445 - mae: 3587.3445 - mse: 38429892.0000 - val_loss: 4023.9302 - val_mae: 4023.9302 - val_mse: 44871588.0000\n",
            "Epoch 15943/16000\n",
            "6/6 [==============================] - 0s 12ms/step - loss: 3587.0049 - mae: 3587.0049 - mse: 38424720.0000 - val_loss: 4023.7634 - val_mae: 4023.7634 - val_mse: 44866924.0000\n",
            "Epoch 15944/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3586.6685 - mae: 3586.6685 - mse: 38420116.0000 - val_loss: 4023.6047 - val_mae: 4023.6047 - val_mse: 44862484.0000\n",
            "Epoch 15945/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3586.3335 - mae: 3586.3335 - mse: 38415280.0000 - val_loss: 4023.4390 - val_mae: 4023.4390 - val_mse: 44857848.0000\n",
            "Epoch 15946/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3586.0012 - mae: 3586.0012 - mse: 38411016.0000 - val_loss: 4023.2812 - val_mae: 4023.2812 - val_mse: 44853440.0000\n",
            "Epoch 15947/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3585.6733 - mae: 3585.6733 - mse: 38406644.0000 - val_loss: 4023.1106 - val_mae: 4023.1106 - val_mse: 44848676.0000\n",
            "Epoch 15948/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3585.3308 - mae: 3585.3308 - mse: 38401708.0000 - val_loss: 4022.9363 - val_mae: 4022.9363 - val_mse: 44843796.0000\n",
            "Epoch 15949/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3584.9519 - mae: 3584.9519 - mse: 38396080.0000 - val_loss: 4022.7583 - val_mae: 4022.7583 - val_mse: 44838828.0000\n",
            "Epoch 15950/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3584.5842 - mae: 3584.5842 - mse: 38391148.0000 - val_loss: 4022.5691 - val_mae: 4022.5691 - val_mse: 44833528.0000\n",
            "Epoch 15951/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3584.1846 - mae: 3584.1846 - mse: 38385304.0000 - val_loss: 4022.3716 - val_mae: 4022.3716 - val_mse: 44828024.0000\n",
            "Epoch 15952/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3583.7920 - mae: 3583.7920 - mse: 38380436.0000 - val_loss: 4022.1836 - val_mae: 4022.1836 - val_mse: 44822776.0000\n",
            "Epoch 15953/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3583.4211 - mae: 3583.4211 - mse: 38374920.0000 - val_loss: 4022.0273 - val_mae: 4022.0273 - val_mse: 44817772.0000\n",
            "Epoch 15954/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3583.0518 - mae: 3583.0518 - mse: 38369884.0000 - val_loss: 4021.8757 - val_mae: 4021.8757 - val_mse: 44812860.0000\n",
            "Epoch 15955/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3582.6943 - mae: 3582.6943 - mse: 38365216.0000 - val_loss: 4021.7283 - val_mae: 4021.7283 - val_mse: 44808072.0000\n",
            "Epoch 15956/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3582.3372 - mae: 3582.3372 - mse: 38359972.0000 - val_loss: 4021.5803 - val_mae: 4021.5803 - val_mse: 44803296.0000\n",
            "Epoch 15957/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3581.9849 - mae: 3581.9849 - mse: 38355160.0000 - val_loss: 4021.4360 - val_mae: 4021.4360 - val_mse: 44798628.0000\n",
            "Epoch 15958/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3581.6475 - mae: 3581.6475 - mse: 38350456.0000 - val_loss: 4021.2847 - val_mae: 4021.2847 - val_mse: 44793732.0000\n",
            "Epoch 15959/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3581.2869 - mae: 3581.2869 - mse: 38345596.0000 - val_loss: 4021.1350 - val_mae: 4021.1350 - val_mse: 44788880.0000\n",
            "Epoch 15960/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3580.9509 - mae: 3580.9509 - mse: 38340516.0000 - val_loss: 4020.9932 - val_mae: 4020.9932 - val_mse: 44784292.0000\n",
            "Epoch 15961/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3580.6182 - mae: 3580.6182 - mse: 38336252.0000 - val_loss: 4020.8623 - val_mae: 4020.8623 - val_mse: 44780076.0000\n",
            "Epoch 15962/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3580.2881 - mae: 3580.2881 - mse: 38331556.0000 - val_loss: 4020.7234 - val_mae: 4020.7234 - val_mse: 44775560.0000\n",
            "Epoch 15963/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3579.9519 - mae: 3579.9519 - mse: 38327084.0000 - val_loss: 4020.5698 - val_mae: 4020.5698 - val_mse: 44770596.0000\n",
            "Epoch 15964/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3579.5686 - mae: 3579.5686 - mse: 38321664.0000 - val_loss: 4020.4153 - val_mae: 4020.4153 - val_mse: 44765604.0000\n",
            "Epoch 15965/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3579.2100 - mae: 3579.2100 - mse: 38316768.0000 - val_loss: 4020.2615 - val_mae: 4020.2615 - val_mse: 44760636.0000\n",
            "Epoch 15966/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3578.8525 - mae: 3578.8525 - mse: 38311756.0000 - val_loss: 4020.1133 - val_mae: 4020.1133 - val_mse: 44755852.0000\n",
            "Epoch 15967/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3578.5049 - mae: 3578.5049 - mse: 38306652.0000 - val_loss: 4019.9604 - val_mae: 4019.9604 - val_mse: 44750912.0000\n",
            "Epoch 15968/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3578.1377 - mae: 3578.1377 - mse: 38301800.0000 - val_loss: 4019.8071 - val_mae: 4019.8071 - val_mse: 44745972.0000\n",
            "Epoch 15969/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3577.7722 - mae: 3577.7722 - mse: 38296820.0000 - val_loss: 4019.6533 - val_mae: 4019.6533 - val_mse: 44740996.0000\n",
            "Epoch 15970/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3577.4089 - mae: 3577.4089 - mse: 38291832.0000 - val_loss: 4019.5103 - val_mae: 4019.5103 - val_mse: 44736376.0000\n",
            "Epoch 15971/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3577.0679 - mae: 3577.0679 - mse: 38287040.0000 - val_loss: 4019.3728 - val_mae: 4019.3728 - val_mse: 44731944.0000\n",
            "Epoch 15972/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3576.7434 - mae: 3576.7434 - mse: 38282560.0000 - val_loss: 4019.2271 - val_mae: 4019.2268 - val_mse: 44727228.0000\n",
            "Epoch 15973/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3576.3989 - mae: 3576.3989 - mse: 38278056.0000 - val_loss: 4019.0815 - val_mae: 4019.0815 - val_mse: 44722524.0000\n",
            "Epoch 15974/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3576.0435 - mae: 3576.0435 - mse: 38272808.0000 - val_loss: 4018.9348 - val_mae: 4018.9348 - val_mse: 44717804.0000\n",
            "Epoch 15975/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3575.7119 - mae: 3575.7119 - mse: 38268388.0000 - val_loss: 4018.7920 - val_mae: 4018.7920 - val_mse: 44713192.0000\n",
            "Epoch 15976/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3575.3860 - mae: 3575.3860 - mse: 38263588.0000 - val_loss: 4018.6548 - val_mae: 4018.6548 - val_mse: 44708756.0000\n",
            "Epoch 15977/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3575.0535 - mae: 3575.0535 - mse: 38259288.0000 - val_loss: 4018.5210 - val_mae: 4018.5210 - val_mse: 44704452.0000\n",
            "Epoch 15978/16000\n",
            "6/6 [==============================] - 0s 10ms/step - loss: 3574.7322 - mae: 3574.7322 - mse: 38255080.0000 - val_loss: 4018.3879 - val_mae: 4018.3879 - val_mse: 44700168.0000\n",
            "Epoch 15979/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3574.4092 - mae: 3574.4092 - mse: 38250556.0000 - val_loss: 4018.2473 - val_mae: 4018.2473 - val_mse: 44695636.0000\n",
            "Epoch 15980/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3574.0686 - mae: 3574.0686 - mse: 38245796.0000 - val_loss: 4018.1021 - val_mae: 4018.1021 - val_mse: 44690936.0000\n",
            "Epoch 15981/16000\n",
            "6/6 [==============================] - 0s 9ms/step - loss: 3573.7256 - mae: 3573.7256 - mse: 38241084.0000 - val_loss: 4017.9512 - val_mae: 4017.9512 - val_mse: 44686080.0000\n",
            "Epoch 15982/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3573.3547 - mae: 3573.3547 - mse: 38235912.0000 - val_loss: 4017.8008 - val_mae: 4017.8008 - val_mse: 44681228.0000\n",
            "Epoch 15983/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3573.0122 - mae: 3573.0122 - mse: 38231204.0000 - val_loss: 4017.6604 - val_mae: 4017.6604 - val_mse: 44676708.0000\n",
            "Epoch 15984/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3572.6704 - mae: 3572.6704 - mse: 38226512.0000 - val_loss: 4017.5190 - val_mae: 4017.5190 - val_mse: 44672156.0000\n",
            "Epoch 15985/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3572.3242 - mae: 3572.3242 - mse: 38221656.0000 - val_loss: 4017.3677 - val_mae: 4017.3677 - val_mse: 44667284.0000\n",
            "Epoch 15986/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3571.9822 - mae: 3571.9822 - mse: 38216952.0000 - val_loss: 4017.2241 - val_mae: 4017.2241 - val_mse: 44662660.0000\n",
            "Epoch 15987/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3571.6533 - mae: 3571.6533 - mse: 38212404.0000 - val_loss: 4017.0923 - val_mae: 4017.0923 - val_mse: 44658412.0000\n",
            "Epoch 15988/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3571.3384 - mae: 3571.3384 - mse: 38208188.0000 - val_loss: 4016.9587 - val_mae: 4016.9587 - val_mse: 44654116.0000\n",
            "Epoch 15989/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3571.0359 - mae: 3571.0359 - mse: 38203908.0000 - val_loss: 4016.8408 - val_mae: 4016.8408 - val_mse: 44650312.0000\n",
            "Epoch 15990/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3570.7390 - mae: 3570.7390 - mse: 38199856.0000 - val_loss: 4016.7173 - val_mae: 4016.7173 - val_mse: 44646336.0000\n",
            "Epoch 15991/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3570.4470 - mae: 3570.4470 - mse: 38195760.0000 - val_loss: 4016.5898 - val_mae: 4016.5898 - val_mse: 44642256.0000\n",
            "Epoch 15992/16000\n",
            "6/6 [==============================] - 0s 11ms/step - loss: 3570.1289 - mae: 3570.1289 - mse: 38191280.0000 - val_loss: 4016.4504 - val_mae: 4016.4504 - val_mse: 44637764.0000\n",
            "Epoch 15993/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3569.7842 - mae: 3569.7842 - mse: 38186864.0000 - val_loss: 4016.2903 - val_mae: 4016.2903 - val_mse: 44632612.0000\n",
            "Epoch 15994/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3569.4097 - mae: 3569.4097 - mse: 38181876.0000 - val_loss: 4016.1340 - val_mae: 4016.1340 - val_mse: 44627592.0000\n",
            "Epoch 15995/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3569.0366 - mae: 3569.0366 - mse: 38176236.0000 - val_loss: 4015.9871 - val_mae: 4015.9871 - val_mse: 44622864.0000\n",
            "Epoch 15996/16000\n",
            "6/6 [==============================] - 0s 6ms/step - loss: 3568.7017 - mae: 3568.7017 - mse: 38171904.0000 - val_loss: 4015.8418 - val_mae: 4015.8418 - val_mse: 44618192.0000\n",
            "Epoch 15997/16000\n",
            "6/6 [==============================] - 0s 8ms/step - loss: 3568.3818 - mae: 3568.3818 - mse: 38167076.0000 - val_loss: 4015.6897 - val_mae: 4015.6897 - val_mse: 44613304.0000\n",
            "Epoch 15998/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3568.0134 - mae: 3568.0134 - mse: 38162140.0000 - val_loss: 4015.5413 - val_mae: 4015.5413 - val_mse: 44608532.0000\n",
            "Epoch 15999/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3567.6597 - mae: 3567.6597 - mse: 38157100.0000 - val_loss: 4015.3960 - val_mae: 4015.3960 - val_mse: 44603856.0000\n",
            "Epoch 16000/16000\n",
            "6/6 [==============================] - 0s 7ms/step - loss: 3567.3225 - mae: 3567.3225 - mse: 38152208.0000 - val_loss: 4015.2500 - val_mae: 4015.2500 - val_mse: 44599160.0000\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BrKnJ854EOm1",
        "outputId": "db7e8984-afd0-4394-8d0f-3cee3128abd1"
      },
      "source": [
        "print(history)"
      ],
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<tensorflow.python.keras.callbacks.History object at 0x7f213bb94550>\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DKDm-w3ZHHZ3",
        "outputId": "41fc785c-8191-4632-9b32-836d6b03af2d"
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_2\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "dense_2 (Dense)              (None, 1)                 2         \n",
            "=================================================================\n",
            "Total params: 2\n",
            "Trainable params: 2\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "iXUfdSIQHLz6",
        "outputId": "73997ad2-2da4-4ee0-a73a-5616bb49b6a5"
      },
      "source": [
        "def curvePlots(tempString):\n",
        "  plt.plot(history.history[tempString])\n",
        "  plt.plot(history.history[f'val_{tempString}'])\n",
        "  plt.xlabel('NumEpochs')\n",
        "  plt.ylabel(tempString)\n",
        "  plt.legend([tempString, f'val_{tempString}'])\n",
        "  plt.show()\n",
        "\n",
        "\n",
        "curvePlots('mse')\n",
        "curvePlots('mae')\n",
        "curvePlots('loss')"
      ],
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uAKpktXhIQVr",
        "outputId": "025031a0-e600-47fc-f852-499afaac8e73"
      },
      "source": [
        "model.predict([111])"
      ],
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[10724.0625]], dtype=float32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BEvFd6q_IfDy"
      },
      "source": [
        "testPred=model.predict(testFeatures).flatten()"
      ],
      "execution_count": 92,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 361
        },
        "id": "GvM-JBrLIucl",
        "outputId": "ee65c08e-02dd-4a00-b71b-f8a50f4b6985"
      },
      "source": [
        "def predPlot(labels, predictions):\n",
        "  plt.scatter(labels, predictions)\n",
        "  plt.ylabel('Predictions')\n",
        "  plt.xlabel('True Value or Labels')\n",
        "  plt.axis('equal')\n",
        "  plt.axis('square')\n",
        "  plt.xlim([0, plt.xlim()[1]])\n",
        "  plt.ylim([0, plt.ylim()[1]])\n",
        "  plt.show()\n",
        "\n",
        "predPlot(testLabels,testPred)"
      ],
      "execution_count": 93,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 361
        },
        "id": "8-xU21r1JKYQ",
        "outputId": "a3f18b1b-57be-4033-8c2c-4f7407d93354"
      },
      "source": [
        "def errorPlot(preds, labels, counts):\n",
        "  errors = preds - labels\n",
        "  plt.hist(errors, counts)\n",
        "  plt.xlabel('Error')\n",
        "  plt.ylabel('Counts')\n",
        "  plt.show()\n",
        "\n",
        "errorPlot(testPred,testLabels,numEpochs)"
      ],
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SFnLvQYeJd14"
      },
      "source": [
        ""
      ],
      "execution_count": 94,
      "outputs": []
    }
  ]
}