Train_VAEmodel_GRU2x32_encoding16_DR5_ps_SDSS_QSO_balanced_inndet_inprop_lcorg_4paper.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "name": "Train-VAEmodel-GRU2x32-encoding16-DR5-ps-SDSS-QSO-balanced-inndet-inprop-lcorg-4paper.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "machine_shape": "hm"
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oH6h1Y-K5uHH",
        "outputId": "27456ea4-5f67-4c21-9ecb-02d4b16e1a8f"
      },
      "source": [
        "gpu_info = !nvidia-smi\n",
        "gpu_info = '\\n'.join(gpu_info)\n",
        "if gpu_info.find('failed') >= 0:\n",
        "  print('Select the Runtime > \"Change runtime type\" menu to enable a GPU accelerator, ')\n",
        "  print('and then re-execute this cell.')\n",
        "else:\n",
        "  print(gpu_info)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Sat May  1 18:31:08 2021       \n",
            "+-----------------------------------------------------------------------------+\n",
            "| NVIDIA-SMI 465.19.01    Driver Version: 460.32.03    CUDA Version: 11.2     |\n",
            "|-------------------------------+----------------------+----------------------+\n",
            "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
            "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
            "|                               |                      |               MIG M. |\n",
            "|===============================+======================+======================|\n",
            "|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |\n",
            "| N/A   50C    P0    31W / 250W |      0MiB / 16280MiB |      0%      Default |\n",
            "|                               |                      |                  N/A |\n",
            "+-------------------------------+----------------------+----------------------+\n",
            "                                                                               \n",
            "+-----------------------------------------------------------------------------+\n",
            "| Processes:                                                                  |\n",
            "|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |\n",
            "|        ID   ID                                                   Usage      |\n",
            "|=============================================================================|\n",
            "|  No running processes found                                                 |\n",
            "+-----------------------------------------------------------------------------+\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mpKArYFY5yIO",
        "outputId": "4ee1cb35-0689-4a1c-e6b1-62c669ba8409"
      },
      "source": [
        "from psutil import virtual_memory\n",
        "ram_gb = virtual_memory().total / 1e9\n",
        "print('Your runtime has {:.1f} gigabytes of available RAM\\n'.format(ram_gb))\n",
        "\n",
        "if ram_gb < 20:\n",
        "  print('To enable a high-RAM runtime, select the Runtime > \"Change runtime type\"')\n",
        "  print('menu, and then select High-RAM in the Runtime shape dropdown. Then, ')\n",
        "  print('re-execute this cell.')\n",
        "else:\n",
        "  print('You are using a high-RAM runtime!')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Your runtime has 27.4 gigabytes of available RAM\n",
            "\n",
            "You are using a high-RAM runtime!\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GXRxHdmTKmne",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b789fefb-fa31-440f-e48a-68e9e757edd5"
      },
      "source": [
        "!pip install tensorflow-gpu\n",
        "!pip install Keras"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting tensorflow-gpu\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/85/cc/a27e73cf8b23f2ce4bdd2b7089a42a7819ce6dd7366dceba406ddc5daa9c/tensorflow_gpu-2.4.1-cp37-cp37m-manylinux2010_x86_64.whl (394.3MB)\n",
            "\u001b[K     |████████████████████████████████| 394.3MB 41kB/s \n",
            "\u001b[?25hRequirement already satisfied: protobuf>=3.9.2 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (3.12.4)\n",
            "Requirement already satisfied: numpy~=1.19.2 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (1.19.5)\n",
            "Requirement already satisfied: tensorboard~=2.4 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (2.4.1)\n",
            "Requirement already satisfied: wrapt~=1.12.1 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (1.12.1)\n",
            "Requirement already satisfied: google-pasta~=0.2 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (0.2.0)\n",
            "Requirement already satisfied: absl-py~=0.10 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (0.12.0)\n",
            "Requirement already satisfied: gast==0.3.3 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (0.3.3)\n",
            "Requirement already satisfied: wheel~=0.35 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (0.36.2)\n",
            "Requirement already satisfied: six~=1.15.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (1.15.0)\n",
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            "Requirement already satisfied: flatbuffers~=1.12.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (1.12)\n",
            "Requirement already satisfied: keras-preprocessing~=1.1.2 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (1.1.2)\n",
            "Requirement already satisfied: tensorflow-estimator<2.5.0,>=2.4.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (2.4.0)\n",
            "Requirement already satisfied: opt-einsum~=3.3.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (3.3.0)\n",
            "Requirement already satisfied: typing-extensions~=3.7.4 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (3.7.4.3)\n",
            "Requirement already satisfied: termcolor~=1.1.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow-gpu) (1.1.0)\n",
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            "Requirement already satisfied: requests<3,>=2.21.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.4->tensorflow-gpu) (2.23.0)\n",
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            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.4->tensorflow-gpu) (3.3.4)\n",
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            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.21.0->tensorboard~=2.4->tensorflow-gpu) (2020.12.5)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.21.0->tensorboard~=2.4->tensorflow-gpu) (2.10)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.21.0->tensorboard~=2.4->tensorflow-gpu) (3.0.4)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.21.0->tensorboard~=2.4->tensorflow-gpu) (1.24.3)\n",
            "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.7/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard~=2.4->tensorflow-gpu) (1.3.0)\n",
            "Requirement already satisfied: importlib-metadata; python_version < \"3.8\" in /usr/local/lib/python3.7/dist-packages (from markdown>=2.6.8->tensorboard~=2.4->tensorflow-gpu) (3.10.1)\n",
            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard~=2.4->tensorflow-gpu) (0.2.8)\n",
            "Requirement already satisfied: rsa<5,>=3.1.4; python_version >= \"3.6\" in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard~=2.4->tensorflow-gpu) (4.7.2)\n",
            "Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard~=2.4->tensorflow-gpu) (4.2.1)\n",
            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard~=2.4->tensorflow-gpu) (3.1.0)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata; python_version < \"3.8\"->markdown>=2.6.8->tensorboard~=2.4->tensorflow-gpu) (3.4.1)\n",
            "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /usr/local/lib/python3.7/dist-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard~=2.4->tensorflow-gpu) (0.4.8)\n",
            "Installing collected packages: tensorflow-gpu\n",
            "Successfully installed tensorflow-gpu-2.4.1\n",
            "Requirement already satisfied: Keras in /usr/local/lib/python3.7/dist-packages (2.4.3)\n",
            "Requirement already satisfied: scipy>=0.14 in /usr/local/lib/python3.7/dist-packages (from Keras) (1.4.1)\n",
            "Requirement already satisfied: h5py in /usr/local/lib/python3.7/dist-packages (from Keras) (2.10.0)\n",
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            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from h5py->Keras) (1.15.0)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rfHhXD-mREHQ"
      },
      "source": [
        "!pip install -q pyyaml h5py  # Required to save models in HDF5 format"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZrHAhTwqz7bK",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "adfd6c34-1a4d-46b7-87f4-f59a5c1453b3"
      },
      "source": [
        "import tensorflow as tf\n",
        "print(tf.__version__)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2.4.1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7nHVOgHjHxfl"
      },
      "source": [
        "# Load the TensorBoard notebook extension\n",
        "%load_ext tensorboard\n",
        "import datetime, os"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OVU44gO_5Xne"
      },
      "source": [
        "import datetime\n",
        "import sys\n",
        "import os\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import sklearn \n",
        "import tensorflow.keras as keras\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ydcpQ7mpFcpP"
      },
      "source": [
        "from tensorflow.keras import Sequential\n",
        "import tensorflow.keras.backend as K\n",
        "from keras.layers import (Input, Dense, TimeDistributed, LSTM, GRU, Dropout, merge, \n",
        "                         Concatenate, Flatten, RepeatVector, Lambda, Bidirectional, SimpleRNN)\n",
        "from keras.models import Model\n",
        "from tensorflow.keras.activations import relu, sigmoid\n",
        "from tensorflow.keras.optimizers import Adam\n",
        "from tensorflow.keras.utils import plot_model\n",
        "from tensorflow.keras.preprocessing.sequence import pad_sequences\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w2sUNZ--FPSB",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1aba94f9-75bd-4b8f-842e-bebaf10670fd"
      },
      "source": [
        "from tensorflow.keras.callbacks import (Callback, TensorBoard, EarlyStopping,\n",
        "                             ModelCheckpoint, CSVLogger, ProgbarLogger)\n",
        "import sys\n",
        "import csv\n",
        "from collections import Iterable, OrderedDict\n",
        "import datetime\n",
        "from sklearn.manifold import TSNE"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:5: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3,and in 3.9 it will stop working\n",
            "  \"\"\"\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bwc4cnvY2FOy",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3444f50f-4633-47d7-f844-7f73b655cc7e"
      },
      "source": [
        "# Load the Drive helper and mount\n",
        "from google.colab import drive\n",
        "\n",
        "# This will prompt for authorization.\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "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": "markdown",
      "metadata": {
        "id": "54NjM62B9mBj"
      },
      "source": [
        "## Reading AGN alert's light curves\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H9pnx6arZNND"
      },
      "source": [
        "#reading list of lcs already saved \n",
        "lcs= np.load('/content/drive/Shareddrives/Stargaze/datasets/ps_DR5_data/balanced_inndet_inprop_DR5_SDSSDR14_QSO_noblazar_gband_lcs_list.npy',allow_pickle=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wGO7zEvSY5-f",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "65e87cb4-35ce-41f8-9c26-8995c0d237b2"
      },
      "source": [
        "print(len(lcs))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "24755\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "p6FD8qsY98re",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1f3c0c97-197a-42d9-a27e-3f83212bc1af"
      },
      "source": [
        "#printing a section of a lc as example\n",
        "print(lcs[100][0:5])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[5.83234411e+04 2.01629238e+01 1.46320924e-01]\n",
            " [5.83355002e+04 1.98275146e+01 1.19798183e-01]\n",
            " [5.83384397e+04 2.00872803e+01 1.40354425e-01]\n",
            " [5.83424204e+04 2.00872231e+01 1.40349880e-01]\n",
            " [5.83424337e+04 2.02001591e+01 1.49213240e-01]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u90zM7U1K49y",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6ff8e70a-8816-46b8-f73b-e8e0eab22ebf"
      },
      "source": [
        "#shuffling the data to avoid systematics \n",
        "np.random.seed(42)\n",
        "np.random.shuffle(lcs)\n",
        "lcs[100][0:5]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[5.82044018e+04, 2.02587128e+01, 1.21813253e-01],\n",
              "       [5.82044509e+04, 2.06296825e+01, 1.51942968e-01],\n",
              "       [5.82044640e+04, 2.06181564e+01, 1.51120782e-01],\n",
              "       [5.82044649e+04, 2.04469032e+01, 1.37976155e-01],\n",
              "       [5.82044974e+04, 2.03973961e+01, 1.33613288e-01]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zOWrsR6gyJ7F"
      },
      "source": [
        "#lcs = lcs[:10000]\n",
        "#print(len(lcs))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "65Sd71QCK5H5"
      },
      "source": [
        "#padding the lcs\n",
        "lcs_raw = pad_sequences(lcs, value=np.nan, dtype='float', padding='post')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YERifz9NLk0H",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "13d8a619-c3c3-4d5b-fb9e-9e56ba52f54c"
      },
      "source": [
        "print(lcs_raw[100][0:5])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[5.82044018e+04 2.02587128e+01 1.21813253e-01]\n",
            " [5.82044509e+04 2.06296825e+01 1.51942968e-01]\n",
            " [5.82044640e+04 2.06181564e+01 1.51120782e-01]\n",
            " [5.82044649e+04 2.04469032e+01 1.37976155e-01]\n",
            " [5.82044974e+04 2.03973961e+01 1.33613288e-01]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "910pKs37Lq0k"
      },
      "source": [
        "**Preprocess for the input data:** \n",
        "\n",
        "MJD -> $\\Delta$MJD/365.0\n",
        "\n",
        "mag -> [mag - mean(mag)]/std(mag)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i2L7mZ9mLw1r"
      },
      "source": [
        "#functions taken from https://github.com/yutarotachibana/CatalinaQSO_AutoEncoder\n",
        "\n",
        "def times_to_lags(T):\n",
        "    \"\"\"(N x n_step) matrix of times -> (N x n_step) matrix of lags.\n",
        "    First time is assumed to be zero.\n",
        "    \"\"\"\n",
        "    assert T.ndim == 2, \"T must be an (N x n_step) matrix\"\n",
        "    return np.c_[np.diff(T, axis=1)/365., np.zeros(T.shape[0])]\n",
        "\n",
        "\n",
        "def preprocess(X_raw, m_max=np.inf):\n",
        "    X = X_raw.copy()\n",
        "    wrong_units =  np.all(np.isnan(X[:, :, 1])) | (np.nanmax(X[:, :, 1], axis=1) > m_max)\n",
        "    X = X[~wrong_units, :, :]\n",
        "    X[:, :, 0] = times_to_lags(X[:, :, 0])\n",
        "    means = np.atleast_2d(np.nanmean(X[:, :, 1], axis=1)).T\n",
        "    X[:, :, 1] -= means\n",
        "    scales = np.atleast_2d(np.nanstd(X[:, :, 1], axis=1)).T\n",
        "    X[:, :, 1] /= scales\n",
        "    errors = X[:, :, 2] / scales\n",
        "    X = X[:, :, :2]\n",
        "    return X, means, scales, errors, wrong_units"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ua2pfLkrLw5C"
      },
      "source": [
        "lcs_scaled, means, scales, errors, wrong_units = preprocess(lcs_raw)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w-Crnp8tLw8q",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "29f9ab3d-6415-4432-be4e-e5e2e88f885d"
      },
      "source": [
        "print(lcs_scaled[100][0:5])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[ 1.34513151e-04 -1.36363299e+00]\n",
            " [ 3.59271233e-05  8.17188280e-01]\n",
            " [ 2.63178083e-06  7.49429743e-01]\n",
            " [ 8.89142466e-05 -2.57317226e-01]\n",
            " [ 2.53698630e-06 -5.48354841e-01]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "t2h1efg0i6Nb",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "68709900-8b6d-4015-9de1-f6a1adc9960d"
      },
      "source": [
        "print(means[100])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[20.49067428]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Qxo7MzJiNsQV"
      },
      "source": [
        "Input for Autoencoder"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "id8fPveoNq1e"
      },
      "source": [
        "main_input = Input(shape=(lcs_scaled.shape[1], 2), name='main_input') #(lag, mag)\n",
        "aux_input = Input(shape=(lcs_scaled.shape[1], 1), name='aux_input') #(lag)\n",
        "model_input = [main_input, aux_input]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KUAXTyUtN6G0"
      },
      "source": [
        "w = 1/err, loss = [w(y-y$_{\\rm pred}$)]$^2$ (reduced $\\chi$ squre)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "arFxOgDHN75z"
      },
      "source": [
        "sample_weight = 1. / errors\n",
        "sample_weight[np.isnan(sample_weight)] = 0.0\n",
        "lcs_scaled[np.isnan(lcs_scaled)] = 0."
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DNKQ0l_ZkUwM",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "15e2b18b-744e-44d9-af25-36e15b1d9f2f"
      },
      "source": [
        "lcs_scaled[:, :, [1]]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[[ 2.11643395],\n",
              "        [ 1.04999638],\n",
              "        [ 1.60605501],\n",
              "        ...,\n",
              "        [ 0.        ],\n",
              "        [ 0.        ],\n",
              "        [ 0.        ]],\n",
              "\n",
              "       [[ 1.3536838 ],\n",
              "        [ 1.95959744],\n",
              "        [ 2.08179087],\n",
              "        ...,\n",
              "        [ 0.        ],\n",
              "        [ 0.        ],\n",
              "        [ 0.        ]],\n",
              "\n",
              "       [[ 0.31362354],\n",
              "        [-0.38869804],\n",
              "        [ 0.7747209 ],\n",
              "        ...,\n",
              "        [ 0.        ],\n",
              "        [ 0.        ],\n",
              "        [ 0.        ]],\n",
              "\n",
              "       ...,\n",
              "\n",
              "       [[-1.87646413],\n",
              "        [-1.2402999 ],\n",
              "        [-1.74677622],\n",
              "        ...,\n",
              "        [ 0.        ],\n",
              "        [ 0.        ],\n",
              "        [ 0.        ]],\n",
              "\n",
              "       [[ 0.22562308],\n",
              "        [ 1.00637528],\n",
              "        [-1.32192109],\n",
              "        ...,\n",
              "        [ 0.        ],\n",
              "        [ 0.        ],\n",
              "        [ 0.        ]],\n",
              "\n",
              "       [[-1.0867338 ],\n",
              "        [-0.41399918],\n",
              "        [-0.88396798],\n",
              "        ...,\n",
              "        [ 0.        ],\n",
              "        [ 0.        ],\n",
              "        [ 0.        ]]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AfyN1QPGBRmb"
      },
      "source": [
        "# Autoencoder Model\n",
        "\n",
        "Defining the autoencoder model. Based on the work of Tachibana et al. 2020 (https://ui.adsabs.harvard.edu/abs/2020ApJ...903...54T/abstract), but using GRU instead of LSTM\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OxN_zTAB_KxR"
      },
      "source": [
        "lr = 1e-3 #learning rate \n",
        "optimizer = Adam(lr=lr)\n",
        "output_size=16\n",
        "gru_size = 32\n",
        "nepochs = 2000\n",
        "batchsize = 512\n",
        "dropout_val = 0.25\n",
        "\n",
        "resume_training = False # if True use W&B to recover weights and resume training, if False train a new model"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D-pr10rM0Dak"
      },
      "source": [
        "def sampling(samp_args):\n",
        "    z_mean, z_log_sigma = samp_args\n",
        "\n",
        "    batch = K.shape(z_mean)[0]\n",
        "    dim = K.int_shape(z_mean)[1]\n",
        "    # by default, random_normal has mean = 0 and std = 1.0\n",
        "    epsilon = K.random_normal(shape=(batch, dim))\n",
        "    return z_mean + K.exp(0.5 * z_log_sigma) * epsilon"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zUTmXTivRYlD"
      },
      "source": [
        "Using Tachibana+2020 aproach: 2 LSTM layers for encoding and decoding, and an encoding of length 16"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xGip4_xoz96p"
      },
      "source": [
        "\n",
        "#encoder\n",
        "encoder = Bidirectional(GRU(gru_size, name='encoder1', return_sequences=True))(main_input)\n",
        "encoder = Dropout(dropout_val, name='drop_encoder1')(encoder) \n",
        "encoder = Bidirectional(GRU(gru_size, name='encoder2', return_sequences=False))(encoder)\n",
        "encoder = Dropout(dropout_val, name='drop_encoder2')(encoder)\n",
        "codings_mean = Dense(units=output_size, name='encoding_mean', activation='linear')(encoder)\n",
        "codings_log_var = Dense(units=output_size, name='encoding_log_var', activation='linear')(encoder) \n",
        "codings = Lambda(sampling, output_shape=(output_size,))([codings_mean, codings_log_var])\n",
        "\n",
        "\n",
        "#decoder\n",
        "decoder = RepeatVector(lcs_scaled.shape[1], name='repeat')(codings)\n",
        "decoder = merge.concatenate([aux_input, decoder])\n",
        "decoder = GRU(gru_size, name='decoder1', return_sequences=True)(decoder)\n",
        "decoder = Dropout(dropout_val, name='drop_decoder1')(decoder)\n",
        "decoder = GRU(gru_size, name='decoder2', return_sequences=True)(decoder)\n",
        "decoder = TimeDistributed(Dense(1, activation='linear'), name='time_dist')(decoder)\n",
        "\n",
        "#VAE\n",
        "model = Model(model_input, decoder)\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gqY99QZST1gW",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "9ada5e9e-cc82-4bc3-f04a-37c93f8d1ecc"
      },
      "source": [
        "plot_model(model, to_file='/content/drive/MyDrive/CSAGNs/plots_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/VAE_GRU2x32-encoding16_model.png')\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BjLiRtz-WDVG"
      },
      "source": [
        "\n",
        "latent_loss = -0.5*K.sum(1+codings_log_var-K.exp(codings_log_var)-K.square(codings_mean),axis=-1)\n",
        "model.add_loss(K.mean(latent_loss)/200.)\n",
        "model.compile(optimizer=optimizer, loss='mse',  metrics=[tf.keras.metrics.MeanAbsoluteError()], weighted_metrics=[tf.keras.metrics.MeanAbsoluteError()], sample_weight_mode='temporal')#,run_eagerly=True)\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uRpmLumcRbB8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "42e22cc9-752a-4898-efab-c53868dc6b58"
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"model\"\n",
            "__________________________________________________________________________________________________\n",
            "Layer (type)                    Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            "main_input (InputLayer)         [(None, 925, 2)]     0                                            \n",
            "__________________________________________________________________________________________________\n",
            "bidirectional (Bidirectional)   (None, 925, 64)      6912        main_input[0][0]                 \n",
            "__________________________________________________________________________________________________\n",
            "drop_encoder1 (Dropout)         (None, 925, 64)      0           bidirectional[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "bidirectional_1 (Bidirectional) (None, 64)           18816       drop_encoder1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "drop_encoder2 (Dropout)         (None, 64)           0           bidirectional_1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "encoding_mean (Dense)           (None, 16)           1040        drop_encoder2[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "encoding_log_var (Dense)        (None, 16)           1040        drop_encoder2[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "lambda (Lambda)                 (None, 16)           0           encoding_mean[0][0]              \n",
            "                                                                 encoding_log_var[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "aux_input (InputLayer)          [(None, 925, 1)]     0                                            \n",
            "__________________________________________________________________________________________________\n",
            "repeat (RepeatVector)           (None, 925, 16)      0           lambda[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "concatenate (Concatenate)       (None, 925, 17)      0           aux_input[0][0]                  \n",
            "                                                                 repeat[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "decoder1 (GRU)                  (None, 925, 32)      4896        concatenate[0][0]                \n",
            "__________________________________________________________________________________________________\n",
            "drop_decoder1 (Dropout)         (None, 925, 32)      0           decoder1[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "decoder2 (GRU)                  (None, 925, 32)      6336        drop_decoder1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "time_dist (TimeDistributed)     (None, 925, 1)       33          decoder2[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "tf.__operators__.add (TFOpLambd (None, 16)           0           encoding_log_var[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "tf.math.exp (TFOpLambda)        (None, 16)           0           encoding_log_var[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "tf.math.subtract (TFOpLambda)   (None, 16)           0           tf.__operators__.add[0][0]       \n",
            "                                                                 tf.math.exp[0][0]                \n",
            "__________________________________________________________________________________________________\n",
            "tf.math.square (TFOpLambda)     (None, 16)           0           encoding_mean[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "tf.math.subtract_1 (TFOpLambda) (None, 16)           0           tf.math.subtract[0][0]           \n",
            "                                                                 tf.math.square[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "tf.math.reduce_sum (TFOpLambda) (None,)              0           tf.math.subtract_1[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "tf.math.multiply (TFOpLambda)   (None,)              0           tf.math.reduce_sum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "tf.math.reduce_mean (TFOpLambda ()                   0           tf.math.multiply[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "tf.math.truediv (TFOpLambda)    ()                   0           tf.math.reduce_mean[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "add_loss (AddLoss)              ()                   0           tf.math.truediv[0][0]            \n",
            "==================================================================================================\n",
            "Total params: 39,073\n",
            "Trainable params: 39,073\n",
            "Non-trainable params: 0\n",
            "__________________________________________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z3Qea5ZLLn_l"
      },
      "source": [
        "log_dir = '/content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/'\n",
        "weights_path = os.path.join(log_dir, 'weights_lr1e3_4paper.h5')\n",
        "logs = os.path.join(\"logs\", datetime.datetime.now().strftime(\"%Y%m%d-%H%M%S\"))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J6DlYzmyWDYY",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "599834e1-f46e-4b88-e1e2-1d85db780074"
      },
      "source": [
        "\n",
        "\n",
        "early_stopping = EarlyStopping(monitor='val_loss', patience=50, mode='auto', restore_best_weights=True)\n",
        "check_points = tf.keras.callbacks.ModelCheckpoint(filepath=weights_path, save_freq='epoch', save_weights_only=False, save_best_only=True, monitor='val_loss', verbose=1)\n",
        "\n",
        "#aux input contains the delta times, Y (lcs_scaled[:, :, [1]]) is the arrey with the normalized magnitudes, sample_weights is 1/err\n",
        "history = model.fit({'main_input': lcs_scaled, 'aux_input': np.delete(lcs_scaled, 1, axis=2)},\n",
        "                    lcs_scaled[:, :, [1]], \n",
        "                    epochs=nepochs, \n",
        "                    batch_size=batchsize,\n",
        "                    sample_weight=sample_weight,\n",
        "                    callbacks = [\n",
        "                                check_points,\n",
        "                                early_stopping\n",
        "                                 ],\n",
        "                \n",
        "                    validation_split=0.2,\n",
        "                    )"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/2000\n",
            "39/39 [==============================] - 46s 554ms/step - loss: 0.6881 - mean_absolute_error: 0.4530 - weighted_mean_absolute_error: 0.8310 - val_loss: 0.6329 - val_mean_absolute_error: 0.3398 - val_weighted_mean_absolute_error: 0.7951\n",
            "\n",
            "Epoch 00001: val_loss improved from inf to 0.63289, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 2/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.6329 - mean_absolute_error: 0.3482 - weighted_mean_absolute_error: 0.7964 - val_loss: 0.6319 - val_mean_absolute_error: 0.3403 - val_weighted_mean_absolute_error: 0.7943\n",
            "\n",
            "Epoch 00002: val_loss improved from 0.63289 to 0.63186, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 3/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.6373 - mean_absolute_error: 0.3457 - weighted_mean_absolute_error: 0.7966 - val_loss: 0.6317 - val_mean_absolute_error: 0.3412 - val_weighted_mean_absolute_error: 0.7943\n",
            "\n",
            "Epoch 00003: val_loss improved from 0.63186 to 0.63168, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 4/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.6335 - mean_absolute_error: 0.3435 - weighted_mean_absolute_error: 0.7938 - val_loss: 0.6315 - val_mean_absolute_error: 0.3396 - val_weighted_mean_absolute_error: 0.7942\n",
            "\n",
            "Epoch 00004: val_loss improved from 0.63168 to 0.63153, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 5/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.6215 - mean_absolute_error: 0.3405 - weighted_mean_absolute_error: 0.7946 - val_loss: 0.6314 - val_mean_absolute_error: 0.3385 - val_weighted_mean_absolute_error: 0.7942\n",
            "\n",
            "Epoch 00005: val_loss improved from 0.63153 to 0.63144, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 6/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.6324 - mean_absolute_error: 0.3430 - weighted_mean_absolute_error: 0.7946 - val_loss: 0.6314 - val_mean_absolute_error: 0.3376 - val_weighted_mean_absolute_error: 0.7942\n",
            "\n",
            "Epoch 00006: val_loss improved from 0.63144 to 0.63138, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 7/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.6270 - mean_absolute_error: 0.3394 - weighted_mean_absolute_error: 0.7938 - val_loss: 0.6312 - val_mean_absolute_error: 0.3392 - val_weighted_mean_absolute_error: 0.7940\n",
            "\n",
            "Epoch 00007: val_loss improved from 0.63138 to 0.63124, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 8/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.6314 - mean_absolute_error: 0.3411 - weighted_mean_absolute_error: 0.7946 - val_loss: 0.6304 - val_mean_absolute_error: 0.3325 - val_weighted_mean_absolute_error: 0.7932\n",
            "\n",
            "Epoch 00008: val_loss improved from 0.63124 to 0.63036, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 9/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.6296 - mean_absolute_error: 0.3354 - weighted_mean_absolute_error: 0.7922 - val_loss: 0.6166 - val_mean_absolute_error: 0.3607 - val_weighted_mean_absolute_error: 0.7772\n",
            "\n",
            "Epoch 00009: val_loss improved from 0.63036 to 0.61663, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 10/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.6076 - mean_absolute_error: 0.3688 - weighted_mean_absolute_error: 0.7686 - val_loss: 0.5972 - val_mean_absolute_error: 0.3963 - val_weighted_mean_absolute_error: 0.7528\n",
            "\n",
            "Epoch 00010: val_loss improved from 0.61663 to 0.59722, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 11/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.5923 - mean_absolute_error: 0.3733 - weighted_mean_absolute_error: 0.7475 - val_loss: 0.5839 - val_mean_absolute_error: 0.3839 - val_weighted_mean_absolute_error: 0.7423\n",
            "\n",
            "Epoch 00011: val_loss improved from 0.59722 to 0.58386, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 12/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.5731 - mean_absolute_error: 0.3702 - weighted_mean_absolute_error: 0.7393 - val_loss: 0.5877 - val_mean_absolute_error: 0.3813 - val_weighted_mean_absolute_error: 0.7445\n",
            "\n",
            "Epoch 00012: val_loss did not improve from 0.58386\n",
            "Epoch 13/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.5705 - mean_absolute_error: 0.3737 - weighted_mean_absolute_error: 0.7331 - val_loss: 0.5677 - val_mean_absolute_error: 0.3781 - val_weighted_mean_absolute_error: 0.7288\n",
            "\n",
            "Epoch 00013: val_loss improved from 0.58386 to 0.56775, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 14/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.5655 - mean_absolute_error: 0.3816 - weighted_mean_absolute_error: 0.7287 - val_loss: 0.5609 - val_mean_absolute_error: 0.4250 - val_weighted_mean_absolute_error: 0.7199\n",
            "\n",
            "Epoch 00014: val_loss improved from 0.56775 to 0.56089, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 15/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.5601 - mean_absolute_error: 0.3931 - weighted_mean_absolute_error: 0.7230 - val_loss: 0.5517 - val_mean_absolute_error: 0.4007 - val_weighted_mean_absolute_error: 0.7108\n",
            "\n",
            "Epoch 00015: val_loss improved from 0.56089 to 0.55172, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 16/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.5504 - mean_absolute_error: 0.3976 - weighted_mean_absolute_error: 0.7114 - val_loss: 0.5808 - val_mean_absolute_error: 0.4428 - val_weighted_mean_absolute_error: 0.7355\n",
            "\n",
            "Epoch 00016: val_loss did not improve from 0.55172\n",
            "Epoch 17/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.5669 - mean_absolute_error: 0.4211 - weighted_mean_absolute_error: 0.7238 - val_loss: 0.5418 - val_mean_absolute_error: 0.4185 - val_weighted_mean_absolute_error: 0.7010\n",
            "\n",
            "Epoch 00017: val_loss improved from 0.55172 to 0.54182, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 18/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.5428 - mean_absolute_error: 0.4027 - weighted_mean_absolute_error: 0.7015 - val_loss: 0.5284 - val_mean_absolute_error: 0.3994 - val_weighted_mean_absolute_error: 0.6883\n",
            "\n",
            "Epoch 00018: val_loss improved from 0.54182 to 0.52835, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 19/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.5337 - mean_absolute_error: 0.3892 - weighted_mean_absolute_error: 0.6885 - val_loss: 0.5280 - val_mean_absolute_error: 0.3884 - val_weighted_mean_absolute_error: 0.6883\n",
            "\n",
            "Epoch 00019: val_loss improved from 0.52835 to 0.52801, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 20/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.5303 - mean_absolute_error: 0.3850 - weighted_mean_absolute_error: 0.6894 - val_loss: 0.5156 - val_mean_absolute_error: 0.3863 - val_weighted_mean_absolute_error: 0.6752\n",
            "\n",
            "Epoch 00020: val_loss improved from 0.52801 to 0.51556, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 21/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.5228 - mean_absolute_error: 0.3829 - weighted_mean_absolute_error: 0.6849 - val_loss: 0.5134 - val_mean_absolute_error: 0.3936 - val_weighted_mean_absolute_error: 0.6738\n",
            "\n",
            "Epoch 00021: val_loss improved from 0.51556 to 0.51337, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 22/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.5165 - mean_absolute_error: 0.3851 - weighted_mean_absolute_error: 0.6803 - val_loss: 0.5098 - val_mean_absolute_error: 0.3837 - val_weighted_mean_absolute_error: 0.6684\n",
            "\n",
            "Epoch 00022: val_loss improved from 0.51337 to 0.50978, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 23/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.5149 - mean_absolute_error: 0.3873 - weighted_mean_absolute_error: 0.6758 - val_loss: 0.5139 - val_mean_absolute_error: 0.3830 - val_weighted_mean_absolute_error: 0.6709\n",
            "\n",
            "Epoch 00023: val_loss did not improve from 0.50978\n",
            "Epoch 24/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.5203 - mean_absolute_error: 0.3930 - weighted_mean_absolute_error: 0.6817 - val_loss: 0.6333 - val_mean_absolute_error: 0.3372 - val_weighted_mean_absolute_error: 0.7858\n",
            "\n",
            "Epoch 00024: val_loss did not improve from 0.50978\n",
            "Epoch 25/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.6189 - mean_absolute_error: 0.3380 - weighted_mean_absolute_error: 0.7783 - val_loss: 0.5753 - val_mean_absolute_error: 0.4225 - val_weighted_mean_absolute_error: 0.7339\n",
            "\n",
            "Epoch 00025: val_loss did not improve from 0.50978\n",
            "Epoch 26/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.5711 - mean_absolute_error: 0.4157 - weighted_mean_absolute_error: 0.7280 - val_loss: 0.5407 - val_mean_absolute_error: 0.4179 - val_weighted_mean_absolute_error: 0.6986\n",
            "\n",
            "Epoch 00026: val_loss did not improve from 0.50978\n",
            "Epoch 27/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.5465 - mean_absolute_error: 0.4157 - weighted_mean_absolute_error: 0.7052 - val_loss: 0.5299 - val_mean_absolute_error: 0.4327 - val_weighted_mean_absolute_error: 0.6865\n",
            "\n",
            "Epoch 00027: val_loss did not improve from 0.50978\n",
            "Epoch 28/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.5357 - mean_absolute_error: 0.4157 - weighted_mean_absolute_error: 0.6940 - val_loss: 0.5226 - val_mean_absolute_error: 0.4056 - val_weighted_mean_absolute_error: 0.6800\n",
            "\n",
            "Epoch 00028: val_loss did not improve from 0.50978\n",
            "Epoch 29/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.5301 - mean_absolute_error: 0.4113 - weighted_mean_absolute_error: 0.6888 - val_loss: 0.5138 - val_mean_absolute_error: 0.4050 - val_weighted_mean_absolute_error: 0.6720\n",
            "\n",
            "Epoch 00029: val_loss did not improve from 0.50978\n",
            "Epoch 30/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.5235 - mean_absolute_error: 0.4061 - weighted_mean_absolute_error: 0.6824 - val_loss: 0.5156 - val_mean_absolute_error: 0.3930 - val_weighted_mean_absolute_error: 0.6753\n",
            "\n",
            "Epoch 00030: val_loss did not improve from 0.50978\n",
            "Epoch 31/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.5239 - mean_absolute_error: 0.3990 - weighted_mean_absolute_error: 0.6785 - val_loss: 0.5093 - val_mean_absolute_error: 0.3854 - val_weighted_mean_absolute_error: 0.6661\n",
            "\n",
            "Epoch 00031: val_loss improved from 0.50978 to 0.50929, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 32/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.5168 - mean_absolute_error: 0.3976 - weighted_mean_absolute_error: 0.6746 - val_loss: 0.5024 - val_mean_absolute_error: 0.3882 - val_weighted_mean_absolute_error: 0.6608\n",
            "\n",
            "Epoch 00032: val_loss improved from 0.50929 to 0.50235, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 33/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.5095 - mean_absolute_error: 0.3915 - weighted_mean_absolute_error: 0.6703 - val_loss: 0.4999 - val_mean_absolute_error: 0.3817 - val_weighted_mean_absolute_error: 0.6573\n",
            "\n",
            "Epoch 00033: val_loss improved from 0.50235 to 0.49994, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 34/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.5122 - mean_absolute_error: 0.3920 - weighted_mean_absolute_error: 0.6672 - val_loss: 0.4954 - val_mean_absolute_error: 0.3861 - val_weighted_mean_absolute_error: 0.6545\n",
            "\n",
            "Epoch 00034: val_loss improved from 0.49994 to 0.49536, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 35/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.5030 - mean_absolute_error: 0.3927 - weighted_mean_absolute_error: 0.6648 - val_loss: 0.4929 - val_mean_absolute_error: 0.3855 - val_weighted_mean_absolute_error: 0.6517\n",
            "\n",
            "Epoch 00035: val_loss improved from 0.49536 to 0.49292, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 36/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.4990 - mean_absolute_error: 0.3888 - weighted_mean_absolute_error: 0.6609 - val_loss: 0.4913 - val_mean_absolute_error: 0.3952 - val_weighted_mean_absolute_error: 0.6508\n",
            "\n",
            "Epoch 00036: val_loss improved from 0.49292 to 0.49132, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 37/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.5059 - mean_absolute_error: 0.3946 - weighted_mean_absolute_error: 0.6630 - val_loss: 0.4886 - val_mean_absolute_error: 0.3761 - val_weighted_mean_absolute_error: 0.6486\n",
            "\n",
            "Epoch 00037: val_loss improved from 0.49132 to 0.48860, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 38/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.4965 - mean_absolute_error: 0.3928 - weighted_mean_absolute_error: 0.6594 - val_loss: 0.4861 - val_mean_absolute_error: 0.3841 - val_weighted_mean_absolute_error: 0.6466\n",
            "\n",
            "Epoch 00038: val_loss improved from 0.48860 to 0.48605, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 39/2000\n",
            "39/39 [==============================] - 18s 474ms/step - loss: 0.4929 - mean_absolute_error: 0.3876 - weighted_mean_absolute_error: 0.6568 - val_loss: 0.4847 - val_mean_absolute_error: 0.3924 - val_weighted_mean_absolute_error: 0.6440\n",
            "\n",
            "Epoch 00039: val_loss improved from 0.48605 to 0.48473, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 40/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4922 - mean_absolute_error: 0.3973 - weighted_mean_absolute_error: 0.6534 - val_loss: 0.4820 - val_mean_absolute_error: 0.3779 - val_weighted_mean_absolute_error: 0.6417\n",
            "\n",
            "Epoch 00040: val_loss improved from 0.48473 to 0.48204, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 41/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.4902 - mean_absolute_error: 0.3957 - weighted_mean_absolute_error: 0.6498 - val_loss: 0.4811 - val_mean_absolute_error: 0.3996 - val_weighted_mean_absolute_error: 0.6416\n",
            "\n",
            "Epoch 00041: val_loss improved from 0.48204 to 0.48110, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 42/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.4836 - mean_absolute_error: 0.3980 - weighted_mean_absolute_error: 0.6498 - val_loss: 0.4787 - val_mean_absolute_error: 0.3847 - val_weighted_mean_absolute_error: 0.6396\n",
            "\n",
            "Epoch 00042: val_loss improved from 0.48110 to 0.47875, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 43/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.4879 - mean_absolute_error: 0.4032 - weighted_mean_absolute_error: 0.6510 - val_loss: 0.4787 - val_mean_absolute_error: 0.3890 - val_weighted_mean_absolute_error: 0.6403\n",
            "\n",
            "Epoch 00043: val_loss improved from 0.47875 to 0.47874, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 44/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4840 - mean_absolute_error: 0.4013 - weighted_mean_absolute_error: 0.6474 - val_loss: 0.4784 - val_mean_absolute_error: 0.3967 - val_weighted_mean_absolute_error: 0.6379\n",
            "\n",
            "Epoch 00044: val_loss improved from 0.47874 to 0.47837, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 45/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.4855 - mean_absolute_error: 0.4038 - weighted_mean_absolute_error: 0.6481 - val_loss: 0.4755 - val_mean_absolute_error: 0.3895 - val_weighted_mean_absolute_error: 0.6364\n",
            "\n",
            "Epoch 00045: val_loss improved from 0.47837 to 0.47548, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 46/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4801 - mean_absolute_error: 0.4040 - weighted_mean_absolute_error: 0.6440 - val_loss: 0.4761 - val_mean_absolute_error: 0.3988 - val_weighted_mean_absolute_error: 0.6368\n",
            "\n",
            "Epoch 00046: val_loss did not improve from 0.47548\n",
            "Epoch 47/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.4832 - mean_absolute_error: 0.4069 - weighted_mean_absolute_error: 0.6438 - val_loss: 0.4750 - val_mean_absolute_error: 0.4017 - val_weighted_mean_absolute_error: 0.6365\n",
            "\n",
            "Epoch 00047: val_loss improved from 0.47548 to 0.47498, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 48/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4784 - mean_absolute_error: 0.4078 - weighted_mean_absolute_error: 0.6434 - val_loss: 0.4708 - val_mean_absolute_error: 0.4174 - val_weighted_mean_absolute_error: 0.6338\n",
            "\n",
            "Epoch 00048: val_loss improved from 0.47498 to 0.47082, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 49/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.4772 - mean_absolute_error: 0.4110 - weighted_mean_absolute_error: 0.6381 - val_loss: 0.4674 - val_mean_absolute_error: 0.3954 - val_weighted_mean_absolute_error: 0.6303\n",
            "\n",
            "Epoch 00049: val_loss improved from 0.47082 to 0.46738, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 50/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.4792 - mean_absolute_error: 0.4103 - weighted_mean_absolute_error: 0.6436 - val_loss: 0.4658 - val_mean_absolute_error: 0.3999 - val_weighted_mean_absolute_error: 0.6284\n",
            "\n",
            "Epoch 00050: val_loss improved from 0.46738 to 0.46584, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 51/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.4794 - mean_absolute_error: 0.4124 - weighted_mean_absolute_error: 0.6382 - val_loss: 0.4686 - val_mean_absolute_error: 0.4177 - val_weighted_mean_absolute_error: 0.6324\n",
            "\n",
            "Epoch 00051: val_loss did not improve from 0.46584\n",
            "Epoch 52/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.4720 - mean_absolute_error: 0.4140 - weighted_mean_absolute_error: 0.6378 - val_loss: 0.4660 - val_mean_absolute_error: 0.4078 - val_weighted_mean_absolute_error: 0.6298\n",
            "\n",
            "Epoch 00052: val_loss did not improve from 0.46584\n",
            "Epoch 53/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.4709 - mean_absolute_error: 0.4173 - weighted_mean_absolute_error: 0.6355 - val_loss: 0.4628 - val_mean_absolute_error: 0.4174 - val_weighted_mean_absolute_error: 0.6258\n",
            "\n",
            "Epoch 00053: val_loss improved from 0.46584 to 0.46283, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 54/2000\n",
            "39/39 [==============================] - 18s 474ms/step - loss: 0.4708 - mean_absolute_error: 0.4179 - weighted_mean_absolute_error: 0.6344 - val_loss: 0.4595 - val_mean_absolute_error: 0.4108 - val_weighted_mean_absolute_error: 0.6244\n",
            "\n",
            "Epoch 00054: val_loss improved from 0.46283 to 0.45954, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 55/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.4701 - mean_absolute_error: 0.4171 - weighted_mean_absolute_error: 0.6323 - val_loss: 0.4552 - val_mean_absolute_error: 0.4137 - val_weighted_mean_absolute_error: 0.6200\n",
            "\n",
            "Epoch 00055: val_loss improved from 0.45954 to 0.45525, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 56/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.4617 - mean_absolute_error: 0.4183 - weighted_mean_absolute_error: 0.6296 - val_loss: 0.4534 - val_mean_absolute_error: 0.3991 - val_weighted_mean_absolute_error: 0.6178\n",
            "\n",
            "Epoch 00056: val_loss improved from 0.45525 to 0.45342, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 57/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.4600 - mean_absolute_error: 0.4195 - weighted_mean_absolute_error: 0.6298 - val_loss: 0.4536 - val_mean_absolute_error: 0.4356 - val_weighted_mean_absolute_error: 0.6192\n",
            "\n",
            "Epoch 00057: val_loss did not improve from 0.45342\n",
            "Epoch 58/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.4666 - mean_absolute_error: 0.4281 - weighted_mean_absolute_error: 0.6306 - val_loss: 0.4525 - val_mean_absolute_error: 0.4485 - val_weighted_mean_absolute_error: 0.6179\n",
            "\n",
            "Epoch 00058: val_loss improved from 0.45342 to 0.45252, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 59/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.4596 - mean_absolute_error: 0.4291 - weighted_mean_absolute_error: 0.6251 - val_loss: 0.4461 - val_mean_absolute_error: 0.4230 - val_weighted_mean_absolute_error: 0.6137\n",
            "\n",
            "Epoch 00059: val_loss improved from 0.45252 to 0.44613, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 60/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.4550 - mean_absolute_error: 0.4248 - weighted_mean_absolute_error: 0.6226 - val_loss: 0.4459 - val_mean_absolute_error: 0.4082 - val_weighted_mean_absolute_error: 0.6118\n",
            "\n",
            "Epoch 00060: val_loss improved from 0.44613 to 0.44588, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 61/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.4479 - mean_absolute_error: 0.4303 - weighted_mean_absolute_error: 0.6184 - val_loss: 0.4423 - val_mean_absolute_error: 0.4562 - val_weighted_mean_absolute_error: 0.6084\n",
            "\n",
            "Epoch 00061: val_loss improved from 0.44588 to 0.44226, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 62/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.4468 - mean_absolute_error: 0.4448 - weighted_mean_absolute_error: 0.6178 - val_loss: 0.4403 - val_mean_absolute_error: 0.4299 - val_weighted_mean_absolute_error: 0.6082\n",
            "\n",
            "Epoch 00062: val_loss improved from 0.44226 to 0.44030, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 63/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.4469 - mean_absolute_error: 0.4390 - weighted_mean_absolute_error: 0.6145 - val_loss: 0.4374 - val_mean_absolute_error: 0.4388 - val_weighted_mean_absolute_error: 0.6049\n",
            "\n",
            "Epoch 00063: val_loss improved from 0.44030 to 0.43739, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 64/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4445 - mean_absolute_error: 0.4467 - weighted_mean_absolute_error: 0.6133 - val_loss: 0.4352 - val_mean_absolute_error: 0.4568 - val_weighted_mean_absolute_error: 0.6038\n",
            "\n",
            "Epoch 00064: val_loss improved from 0.43739 to 0.43523, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 65/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.4459 - mean_absolute_error: 0.4616 - weighted_mean_absolute_error: 0.6113 - val_loss: 0.4320 - val_mean_absolute_error: 0.4859 - val_weighted_mean_absolute_error: 0.6008\n",
            "\n",
            "Epoch 00065: val_loss improved from 0.43523 to 0.43203, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 66/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.4375 - mean_absolute_error: 0.4614 - weighted_mean_absolute_error: 0.6091 - val_loss: 0.4304 - val_mean_absolute_error: 0.4547 - val_weighted_mean_absolute_error: 0.5994\n",
            "\n",
            "Epoch 00066: val_loss improved from 0.43203 to 0.43038, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 67/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.4410 - mean_absolute_error: 0.4601 - weighted_mean_absolute_error: 0.6065 - val_loss: 0.4313 - val_mean_absolute_error: 0.4782 - val_weighted_mean_absolute_error: 0.5979\n",
            "\n",
            "Epoch 00067: val_loss did not improve from 0.43038\n",
            "Epoch 68/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4377 - mean_absolute_error: 0.4696 - weighted_mean_absolute_error: 0.6066 - val_loss: 0.4274 - val_mean_absolute_error: 0.4783 - val_weighted_mean_absolute_error: 0.5958\n",
            "\n",
            "Epoch 00068: val_loss improved from 0.43038 to 0.42744, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 69/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.4350 - mean_absolute_error: 0.4751 - weighted_mean_absolute_error: 0.6031 - val_loss: 0.4274 - val_mean_absolute_error: 0.4836 - val_weighted_mean_absolute_error: 0.5952\n",
            "\n",
            "Epoch 00069: val_loss improved from 0.42744 to 0.42741, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 70/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.4381 - mean_absolute_error: 0.4829 - weighted_mean_absolute_error: 0.6070 - val_loss: 0.4262 - val_mean_absolute_error: 0.4878 - val_weighted_mean_absolute_error: 0.5949\n",
            "\n",
            "Epoch 00070: val_loss improved from 0.42741 to 0.42623, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 71/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.4353 - mean_absolute_error: 0.4822 - weighted_mean_absolute_error: 0.6026 - val_loss: 0.4268 - val_mean_absolute_error: 0.4864 - val_weighted_mean_absolute_error: 0.5942\n",
            "\n",
            "Epoch 00071: val_loss did not improve from 0.42623\n",
            "Epoch 72/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4339 - mean_absolute_error: 0.4884 - weighted_mean_absolute_error: 0.6040 - val_loss: 0.4244 - val_mean_absolute_error: 0.4883 - val_weighted_mean_absolute_error: 0.5920\n",
            "\n",
            "Epoch 00072: val_loss improved from 0.42623 to 0.42438, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 73/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4324 - mean_absolute_error: 0.4866 - weighted_mean_absolute_error: 0.6022 - val_loss: 0.4237 - val_mean_absolute_error: 0.5037 - val_weighted_mean_absolute_error: 0.5912\n",
            "\n",
            "Epoch 00073: val_loss improved from 0.42438 to 0.42365, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 74/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.4312 - mean_absolute_error: 0.4977 - weighted_mean_absolute_error: 0.5983 - val_loss: 0.4234 - val_mean_absolute_error: 0.4954 - val_weighted_mean_absolute_error: 0.5908\n",
            "\n",
            "Epoch 00074: val_loss improved from 0.42365 to 0.42338, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 75/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4329 - mean_absolute_error: 0.5016 - weighted_mean_absolute_error: 0.5998 - val_loss: 0.4214 - val_mean_absolute_error: 0.5148 - val_weighted_mean_absolute_error: 0.5895\n",
            "\n",
            "Epoch 00075: val_loss improved from 0.42338 to 0.42142, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 76/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.4285 - mean_absolute_error: 0.4998 - weighted_mean_absolute_error: 0.5995 - val_loss: 0.4203 - val_mean_absolute_error: 0.5149 - val_weighted_mean_absolute_error: 0.5884\n",
            "\n",
            "Epoch 00076: val_loss improved from 0.42142 to 0.42028, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 77/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.4281 - mean_absolute_error: 0.5090 - weighted_mean_absolute_error: 0.5996 - val_loss: 0.4208 - val_mean_absolute_error: 0.5284 - val_weighted_mean_absolute_error: 0.5895\n",
            "\n",
            "Epoch 00077: val_loss did not improve from 0.42028\n",
            "Epoch 78/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.4276 - mean_absolute_error: 0.5188 - weighted_mean_absolute_error: 0.5978 - val_loss: 0.4226 - val_mean_absolute_error: 0.5169 - val_weighted_mean_absolute_error: 0.5904\n",
            "\n",
            "Epoch 00078: val_loss did not improve from 0.42028\n",
            "Epoch 79/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.4270 - mean_absolute_error: 0.5196 - weighted_mean_absolute_error: 0.5979 - val_loss: 0.4199 - val_mean_absolute_error: 0.5195 - val_weighted_mean_absolute_error: 0.5889\n",
            "\n",
            "Epoch 00079: val_loss improved from 0.42028 to 0.41988, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 80/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.4314 - mean_absolute_error: 0.5188 - weighted_mean_absolute_error: 0.5943 - val_loss: 0.4187 - val_mean_absolute_error: 0.5399 - val_weighted_mean_absolute_error: 0.5872\n",
            "\n",
            "Epoch 00080: val_loss improved from 0.41988 to 0.41868, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 81/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4251 - mean_absolute_error: 0.5223 - weighted_mean_absolute_error: 0.5950 - val_loss: 0.4183 - val_mean_absolute_error: 0.5379 - val_weighted_mean_absolute_error: 0.5869\n",
            "\n",
            "Epoch 00081: val_loss improved from 0.41868 to 0.41827, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 82/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4286 - mean_absolute_error: 0.5269 - weighted_mean_absolute_error: 0.5919 - val_loss: 0.4179 - val_mean_absolute_error: 0.5326 - val_weighted_mean_absolute_error: 0.5851\n",
            "\n",
            "Epoch 00082: val_loss improved from 0.41827 to 0.41795, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 83/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.4247 - mean_absolute_error: 0.5222 - weighted_mean_absolute_error: 0.5941 - val_loss: 0.4174 - val_mean_absolute_error: 0.5488 - val_weighted_mean_absolute_error: 0.5848\n",
            "\n",
            "Epoch 00083: val_loss improved from 0.41795 to 0.41737, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 84/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4229 - mean_absolute_error: 0.5363 - weighted_mean_absolute_error: 0.5925 - val_loss: 0.4177 - val_mean_absolute_error: 0.5500 - val_weighted_mean_absolute_error: 0.5850\n",
            "\n",
            "Epoch 00084: val_loss did not improve from 0.41737\n",
            "Epoch 85/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4245 - mean_absolute_error: 0.5330 - weighted_mean_absolute_error: 0.5924 - val_loss: 0.4179 - val_mean_absolute_error: 0.5489 - val_weighted_mean_absolute_error: 0.5866\n",
            "\n",
            "Epoch 00085: val_loss did not improve from 0.41737\n",
            "Epoch 86/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.4268 - mean_absolute_error: 0.5388 - weighted_mean_absolute_error: 0.5921 - val_loss: 0.4158 - val_mean_absolute_error: 0.5641 - val_weighted_mean_absolute_error: 0.5828\n",
            "\n",
            "Epoch 00086: val_loss improved from 0.41737 to 0.41577, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 87/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.4219 - mean_absolute_error: 0.5425 - weighted_mean_absolute_error: 0.5920 - val_loss: 0.4154 - val_mean_absolute_error: 0.5600 - val_weighted_mean_absolute_error: 0.5840\n",
            "\n",
            "Epoch 00087: val_loss improved from 0.41577 to 0.41541, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 88/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.4239 - mean_absolute_error: 0.5489 - weighted_mean_absolute_error: 0.5902 - val_loss: 0.4136 - val_mean_absolute_error: 0.5678 - val_weighted_mean_absolute_error: 0.5813\n",
            "\n",
            "Epoch 00088: val_loss improved from 0.41541 to 0.41361, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 89/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4211 - mean_absolute_error: 0.5511 - weighted_mean_absolute_error: 0.5891 - val_loss: 0.4153 - val_mean_absolute_error: 0.5588 - val_weighted_mean_absolute_error: 0.5821\n",
            "\n",
            "Epoch 00089: val_loss did not improve from 0.41361\n",
            "Epoch 90/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4220 - mean_absolute_error: 0.5478 - weighted_mean_absolute_error: 0.5905 - val_loss: 0.4116 - val_mean_absolute_error: 0.5583 - val_weighted_mean_absolute_error: 0.5782\n",
            "\n",
            "Epoch 00090: val_loss improved from 0.41361 to 0.41162, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 91/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4180 - mean_absolute_error: 0.5448 - weighted_mean_absolute_error: 0.5852 - val_loss: 0.4105 - val_mean_absolute_error: 0.5685 - val_weighted_mean_absolute_error: 0.5776\n",
            "\n",
            "Epoch 00091: val_loss improved from 0.41162 to 0.41049, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 92/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.4183 - mean_absolute_error: 0.5566 - weighted_mean_absolute_error: 0.5855 - val_loss: 0.4101 - val_mean_absolute_error: 0.5670 - val_weighted_mean_absolute_error: 0.5765\n",
            "\n",
            "Epoch 00092: val_loss improved from 0.41049 to 0.41012, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 93/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4160 - mean_absolute_error: 0.5522 - weighted_mean_absolute_error: 0.5829 - val_loss: 0.4090 - val_mean_absolute_error: 0.5780 - val_weighted_mean_absolute_error: 0.5746\n",
            "\n",
            "Epoch 00093: val_loss improved from 0.41012 to 0.40900, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 94/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.4151 - mean_absolute_error: 0.5565 - weighted_mean_absolute_error: 0.5854 - val_loss: 0.4081 - val_mean_absolute_error: 0.5787 - val_weighted_mean_absolute_error: 0.5740\n",
            "\n",
            "Epoch 00094: val_loss improved from 0.40900 to 0.40806, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 95/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4135 - mean_absolute_error: 0.5534 - weighted_mean_absolute_error: 0.5812 - val_loss: 0.4089 - val_mean_absolute_error: 0.5867 - val_weighted_mean_absolute_error: 0.5743\n",
            "\n",
            "Epoch 00095: val_loss did not improve from 0.40806\n",
            "Epoch 96/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.4134 - mean_absolute_error: 0.5560 - weighted_mean_absolute_error: 0.5822 - val_loss: 0.4065 - val_mean_absolute_error: 0.5712 - val_weighted_mean_absolute_error: 0.5727\n",
            "\n",
            "Epoch 00096: val_loss improved from 0.40806 to 0.40650, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 97/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.4156 - mean_absolute_error: 0.5561 - weighted_mean_absolute_error: 0.5795 - val_loss: 0.4065 - val_mean_absolute_error: 0.5764 - val_weighted_mean_absolute_error: 0.5722\n",
            "\n",
            "Epoch 00097: val_loss improved from 0.40650 to 0.40648, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 98/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4137 - mean_absolute_error: 0.5589 - weighted_mean_absolute_error: 0.5795 - val_loss: 0.4050 - val_mean_absolute_error: 0.5735 - val_weighted_mean_absolute_error: 0.5715\n",
            "\n",
            "Epoch 00098: val_loss improved from 0.40648 to 0.40497, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 99/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4129 - mean_absolute_error: 0.5548 - weighted_mean_absolute_error: 0.5807 - val_loss: 0.4061 - val_mean_absolute_error: 0.5463 - val_weighted_mean_absolute_error: 0.5718\n",
            "\n",
            "Epoch 00099: val_loss did not improve from 0.40497\n",
            "Epoch 100/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.4112 - mean_absolute_error: 0.5478 - weighted_mean_absolute_error: 0.5810 - val_loss: 0.4057 - val_mean_absolute_error: 0.5748 - val_weighted_mean_absolute_error: 0.5711\n",
            "\n",
            "Epoch 00100: val_loss did not improve from 0.40497\n",
            "Epoch 101/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4122 - mean_absolute_error: 0.5588 - weighted_mean_absolute_error: 0.5779 - val_loss: 0.4044 - val_mean_absolute_error: 0.5738 - val_weighted_mean_absolute_error: 0.5700\n",
            "\n",
            "Epoch 00101: val_loss improved from 0.40497 to 0.40444, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 102/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.4101 - mean_absolute_error: 0.5567 - weighted_mean_absolute_error: 0.5755 - val_loss: 0.4033 - val_mean_absolute_error: 0.5778 - val_weighted_mean_absolute_error: 0.5690\n",
            "\n",
            "Epoch 00102: val_loss improved from 0.40444 to 0.40332, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 103/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4113 - mean_absolute_error: 0.5575 - weighted_mean_absolute_error: 0.5755 - val_loss: 0.4046 - val_mean_absolute_error: 0.5814 - val_weighted_mean_absolute_error: 0.5694\n",
            "\n",
            "Epoch 00103: val_loss did not improve from 0.40332\n",
            "Epoch 104/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.4120 - mean_absolute_error: 0.5563 - weighted_mean_absolute_error: 0.5782 - val_loss: 0.4041 - val_mean_absolute_error: 0.5848 - val_weighted_mean_absolute_error: 0.5695\n",
            "\n",
            "Epoch 00104: val_loss did not improve from 0.40332\n",
            "Epoch 105/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4077 - mean_absolute_error: 0.5567 - weighted_mean_absolute_error: 0.5721 - val_loss: 0.4062 - val_mean_absolute_error: 0.5687 - val_weighted_mean_absolute_error: 0.5717\n",
            "\n",
            "Epoch 00105: val_loss did not improve from 0.40332\n",
            "Epoch 106/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4124 - mean_absolute_error: 0.5542 - weighted_mean_absolute_error: 0.5777 - val_loss: 0.4012 - val_mean_absolute_error: 0.5708 - val_weighted_mean_absolute_error: 0.5654\n",
            "\n",
            "Epoch 00106: val_loss improved from 0.40332 to 0.40118, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 107/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4102 - mean_absolute_error: 0.5535 - weighted_mean_absolute_error: 0.5748 - val_loss: 0.4049 - val_mean_absolute_error: 0.5889 - val_weighted_mean_absolute_error: 0.5700\n",
            "\n",
            "Epoch 00107: val_loss did not improve from 0.40118\n",
            "Epoch 108/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.4118 - mean_absolute_error: 0.5538 - weighted_mean_absolute_error: 0.5727 - val_loss: 0.4005 - val_mean_absolute_error: 0.5644 - val_weighted_mean_absolute_error: 0.5664\n",
            "\n",
            "Epoch 00108: val_loss improved from 0.40118 to 0.40053, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 109/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4082 - mean_absolute_error: 0.5495 - weighted_mean_absolute_error: 0.5775 - val_loss: 0.4021 - val_mean_absolute_error: 0.5737 - val_weighted_mean_absolute_error: 0.5664\n",
            "\n",
            "Epoch 00109: val_loss did not improve from 0.40053\n",
            "Epoch 110/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4114 - mean_absolute_error: 0.5553 - weighted_mean_absolute_error: 0.5735 - val_loss: 0.4000 - val_mean_absolute_error: 0.5631 - val_weighted_mean_absolute_error: 0.5644\n",
            "\n",
            "Epoch 00110: val_loss improved from 0.40053 to 0.39998, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 111/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4068 - mean_absolute_error: 0.5534 - weighted_mean_absolute_error: 0.5736 - val_loss: 0.3980 - val_mean_absolute_error: 0.5761 - val_weighted_mean_absolute_error: 0.5625\n",
            "\n",
            "Epoch 00111: val_loss improved from 0.39998 to 0.39803, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 112/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4083 - mean_absolute_error: 0.5554 - weighted_mean_absolute_error: 0.5738 - val_loss: 0.3984 - val_mean_absolute_error: 0.5743 - val_weighted_mean_absolute_error: 0.5634\n",
            "\n",
            "Epoch 00112: val_loss did not improve from 0.39803\n",
            "Epoch 113/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4048 - mean_absolute_error: 0.5564 - weighted_mean_absolute_error: 0.5711 - val_loss: 0.3998 - val_mean_absolute_error: 0.5956 - val_weighted_mean_absolute_error: 0.5646\n",
            "\n",
            "Epoch 00113: val_loss did not improve from 0.39803\n",
            "Epoch 114/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4065 - mean_absolute_error: 0.5555 - weighted_mean_absolute_error: 0.5706 - val_loss: 0.3980 - val_mean_absolute_error: 0.5578 - val_weighted_mean_absolute_error: 0.5630\n",
            "\n",
            "Epoch 00114: val_loss did not improve from 0.39803\n",
            "Epoch 115/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4040 - mean_absolute_error: 0.5528 - weighted_mean_absolute_error: 0.5688 - val_loss: 0.3978 - val_mean_absolute_error: 0.5742 - val_weighted_mean_absolute_error: 0.5627\n",
            "\n",
            "Epoch 00115: val_loss improved from 0.39803 to 0.39778, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 116/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.4042 - mean_absolute_error: 0.5555 - weighted_mean_absolute_error: 0.5720 - val_loss: 0.3965 - val_mean_absolute_error: 0.5742 - val_weighted_mean_absolute_error: 0.5618\n",
            "\n",
            "Epoch 00116: val_loss improved from 0.39778 to 0.39655, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 117/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.4041 - mean_absolute_error: 0.5520 - weighted_mean_absolute_error: 0.5685 - val_loss: 0.3986 - val_mean_absolute_error: 0.5766 - val_weighted_mean_absolute_error: 0.5639\n",
            "\n",
            "Epoch 00117: val_loss did not improve from 0.39655\n",
            "Epoch 118/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.4091 - mean_absolute_error: 0.5575 - weighted_mean_absolute_error: 0.5724 - val_loss: 0.3976 - val_mean_absolute_error: 0.5638 - val_weighted_mean_absolute_error: 0.5619\n",
            "\n",
            "Epoch 00118: val_loss did not improve from 0.39655\n",
            "Epoch 119/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.4035 - mean_absolute_error: 0.5499 - weighted_mean_absolute_error: 0.5721 - val_loss: 0.3958 - val_mean_absolute_error: 0.5619 - val_weighted_mean_absolute_error: 0.5604\n",
            "\n",
            "Epoch 00119: val_loss improved from 0.39655 to 0.39581, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 120/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.4061 - mean_absolute_error: 0.5520 - weighted_mean_absolute_error: 0.5695 - val_loss: 0.3970 - val_mean_absolute_error: 0.5644 - val_weighted_mean_absolute_error: 0.5619\n",
            "\n",
            "Epoch 00120: val_loss did not improve from 0.39581\n",
            "Epoch 121/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.4040 - mean_absolute_error: 0.5491 - weighted_mean_absolute_error: 0.5684 - val_loss: 0.3957 - val_mean_absolute_error: 0.5540 - val_weighted_mean_absolute_error: 0.5609\n",
            "\n",
            "Epoch 00121: val_loss improved from 0.39581 to 0.39571, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 122/2000\n",
            "39/39 [==============================] - 18s 472ms/step - loss: 0.4004 - mean_absolute_error: 0.5408 - weighted_mean_absolute_error: 0.5696 - val_loss: 0.3963 - val_mean_absolute_error: 0.5742 - val_weighted_mean_absolute_error: 0.5609\n",
            "\n",
            "Epoch 00122: val_loss did not improve from 0.39571\n",
            "Epoch 123/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4018 - mean_absolute_error: 0.5439 - weighted_mean_absolute_error: 0.5701 - val_loss: 0.3954 - val_mean_absolute_error: 0.5630 - val_weighted_mean_absolute_error: 0.5602\n",
            "\n",
            "Epoch 00123: val_loss improved from 0.39571 to 0.39535, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 124/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.4030 - mean_absolute_error: 0.5531 - weighted_mean_absolute_error: 0.5683 - val_loss: 0.3946 - val_mean_absolute_error: 0.5659 - val_weighted_mean_absolute_error: 0.5591\n",
            "\n",
            "Epoch 00124: val_loss improved from 0.39535 to 0.39463, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 125/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4024 - mean_absolute_error: 0.5463 - weighted_mean_absolute_error: 0.5691 - val_loss: 0.3955 - val_mean_absolute_error: 0.5678 - val_weighted_mean_absolute_error: 0.5605\n",
            "\n",
            "Epoch 00125: val_loss did not improve from 0.39463\n",
            "Epoch 126/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3978 - mean_absolute_error: 0.5480 - weighted_mean_absolute_error: 0.5692 - val_loss: 0.3942 - val_mean_absolute_error: 0.5731 - val_weighted_mean_absolute_error: 0.5591\n",
            "\n",
            "Epoch 00126: val_loss improved from 0.39463 to 0.39423, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 127/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.4027 - mean_absolute_error: 0.5459 - weighted_mean_absolute_error: 0.5663 - val_loss: 0.3931 - val_mean_absolute_error: 0.5633 - val_weighted_mean_absolute_error: 0.5577\n",
            "\n",
            "Epoch 00127: val_loss improved from 0.39423 to 0.39315, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 128/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4013 - mean_absolute_error: 0.5440 - weighted_mean_absolute_error: 0.5654 - val_loss: 0.3938 - val_mean_absolute_error: 0.5686 - val_weighted_mean_absolute_error: 0.5583\n",
            "\n",
            "Epoch 00128: val_loss did not improve from 0.39315\n",
            "Epoch 129/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4015 - mean_absolute_error: 0.5483 - weighted_mean_absolute_error: 0.5660 - val_loss: 0.3936 - val_mean_absolute_error: 0.5678 - val_weighted_mean_absolute_error: 0.5580\n",
            "\n",
            "Epoch 00129: val_loss did not improve from 0.39315\n",
            "Epoch 130/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.4011 - mean_absolute_error: 0.5463 - weighted_mean_absolute_error: 0.5664 - val_loss: 0.3926 - val_mean_absolute_error: 0.5413 - val_weighted_mean_absolute_error: 0.5577\n",
            "\n",
            "Epoch 00130: val_loss improved from 0.39315 to 0.39258, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 131/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3990 - mean_absolute_error: 0.5443 - weighted_mean_absolute_error: 0.5667 - val_loss: 0.3924 - val_mean_absolute_error: 0.5616 - val_weighted_mean_absolute_error: 0.5565\n",
            "\n",
            "Epoch 00131: val_loss improved from 0.39258 to 0.39236, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 132/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3990 - mean_absolute_error: 0.5432 - weighted_mean_absolute_error: 0.5698 - val_loss: 0.3930 - val_mean_absolute_error: 0.5609 - val_weighted_mean_absolute_error: 0.5586\n",
            "\n",
            "Epoch 00132: val_loss did not improve from 0.39236\n",
            "Epoch 133/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3991 - mean_absolute_error: 0.5466 - weighted_mean_absolute_error: 0.5685 - val_loss: 0.3909 - val_mean_absolute_error: 0.5587 - val_weighted_mean_absolute_error: 0.5546\n",
            "\n",
            "Epoch 00133: val_loss improved from 0.39236 to 0.39087, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 134/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3981 - mean_absolute_error: 0.5471 - weighted_mean_absolute_error: 0.5657 - val_loss: 0.3903 - val_mean_absolute_error: 0.5564 - val_weighted_mean_absolute_error: 0.5534\n",
            "\n",
            "Epoch 00134: val_loss improved from 0.39087 to 0.39026, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 135/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3994 - mean_absolute_error: 0.5439 - weighted_mean_absolute_error: 0.5643 - val_loss: 0.3896 - val_mean_absolute_error: 0.5536 - val_weighted_mean_absolute_error: 0.5536\n",
            "\n",
            "Epoch 00135: val_loss improved from 0.39026 to 0.38958, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 136/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3996 - mean_absolute_error: 0.5449 - weighted_mean_absolute_error: 0.5663 - val_loss: 0.3893 - val_mean_absolute_error: 0.5616 - val_weighted_mean_absolute_error: 0.5533\n",
            "\n",
            "Epoch 00136: val_loss improved from 0.38958 to 0.38930, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 137/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3963 - mean_absolute_error: 0.5458 - weighted_mean_absolute_error: 0.5625 - val_loss: 0.3879 - val_mean_absolute_error: 0.5599 - val_weighted_mean_absolute_error: 0.5518\n",
            "\n",
            "Epoch 00137: val_loss improved from 0.38930 to 0.38791, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 138/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3968 - mean_absolute_error: 0.5374 - weighted_mean_absolute_error: 0.5612 - val_loss: 0.3880 - val_mean_absolute_error: 0.5542 - val_weighted_mean_absolute_error: 0.5512\n",
            "\n",
            "Epoch 00138: val_loss did not improve from 0.38791\n",
            "Epoch 139/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3951 - mean_absolute_error: 0.5439 - weighted_mean_absolute_error: 0.5605 - val_loss: 0.3951 - val_mean_absolute_error: 0.5677 - val_weighted_mean_absolute_error: 0.5587\n",
            "\n",
            "Epoch 00139: val_loss did not improve from 0.38791\n",
            "Epoch 140/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3999 - mean_absolute_error: 0.5438 - weighted_mean_absolute_error: 0.5632 - val_loss: 0.3899 - val_mean_absolute_error: 0.5444 - val_weighted_mean_absolute_error: 0.5544\n",
            "\n",
            "Epoch 00140: val_loss did not improve from 0.38791\n",
            "Epoch 141/2000\n",
            "39/39 [==============================] - 18s 473ms/step - loss: 0.3973 - mean_absolute_error: 0.5374 - weighted_mean_absolute_error: 0.5605 - val_loss: 0.3875 - val_mean_absolute_error: 0.5638 - val_weighted_mean_absolute_error: 0.5511\n",
            "\n",
            "Epoch 00141: val_loss improved from 0.38791 to 0.38752, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 142/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3955 - mean_absolute_error: 0.5421 - weighted_mean_absolute_error: 0.5609 - val_loss: 0.3863 - val_mean_absolute_error: 0.5523 - val_weighted_mean_absolute_error: 0.5492\n",
            "\n",
            "Epoch 00142: val_loss improved from 0.38752 to 0.38627, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 143/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3965 - mean_absolute_error: 0.5451 - weighted_mean_absolute_error: 0.5601 - val_loss: 0.3864 - val_mean_absolute_error: 0.5619 - val_weighted_mean_absolute_error: 0.5494\n",
            "\n",
            "Epoch 00143: val_loss did not improve from 0.38627\n",
            "Epoch 144/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3957 - mean_absolute_error: 0.5417 - weighted_mean_absolute_error: 0.5601 - val_loss: 0.3856 - val_mean_absolute_error: 0.5535 - val_weighted_mean_absolute_error: 0.5482\n",
            "\n",
            "Epoch 00144: val_loss improved from 0.38627 to 0.38561, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 145/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3965 - mean_absolute_error: 0.5363 - weighted_mean_absolute_error: 0.5590 - val_loss: 0.3859 - val_mean_absolute_error: 0.5555 - val_weighted_mean_absolute_error: 0.5486\n",
            "\n",
            "Epoch 00145: val_loss did not improve from 0.38561\n",
            "Epoch 146/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3953 - mean_absolute_error: 0.5377 - weighted_mean_absolute_error: 0.5592 - val_loss: 0.3899 - val_mean_absolute_error: 0.5572 - val_weighted_mean_absolute_error: 0.5550\n",
            "\n",
            "Epoch 00146: val_loss did not improve from 0.38561\n",
            "Epoch 147/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3961 - mean_absolute_error: 0.5350 - weighted_mean_absolute_error: 0.5622 - val_loss: 0.3866 - val_mean_absolute_error: 0.5468 - val_weighted_mean_absolute_error: 0.5503\n",
            "\n",
            "Epoch 00147: val_loss did not improve from 0.38561\n",
            "Epoch 148/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3924 - mean_absolute_error: 0.5334 - weighted_mean_absolute_error: 0.5611 - val_loss: 0.3851 - val_mean_absolute_error: 0.5570 - val_weighted_mean_absolute_error: 0.5474\n",
            "\n",
            "Epoch 00148: val_loss improved from 0.38561 to 0.38506, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 149/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3955 - mean_absolute_error: 0.5380 - weighted_mean_absolute_error: 0.5576 - val_loss: 0.3862 - val_mean_absolute_error: 0.5557 - val_weighted_mean_absolute_error: 0.5496\n",
            "\n",
            "Epoch 00149: val_loss did not improve from 0.38506\n",
            "Epoch 150/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3938 - mean_absolute_error: 0.5359 - weighted_mean_absolute_error: 0.5589 - val_loss: 0.3846 - val_mean_absolute_error: 0.5570 - val_weighted_mean_absolute_error: 0.5475\n",
            "\n",
            "Epoch 00150: val_loss improved from 0.38506 to 0.38465, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 151/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3950 - mean_absolute_error: 0.5405 - weighted_mean_absolute_error: 0.5586 - val_loss: 0.3842 - val_mean_absolute_error: 0.5290 - val_weighted_mean_absolute_error: 0.5466\n",
            "\n",
            "Epoch 00151: val_loss improved from 0.38465 to 0.38422, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 152/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3939 - mean_absolute_error: 0.5286 - weighted_mean_absolute_error: 0.5577 - val_loss: 0.3884 - val_mean_absolute_error: 0.5697 - val_weighted_mean_absolute_error: 0.5503\n",
            "\n",
            "Epoch 00152: val_loss did not improve from 0.38422\n",
            "Epoch 153/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3939 - mean_absolute_error: 0.5265 - weighted_mean_absolute_error: 0.5604 - val_loss: 0.3886 - val_mean_absolute_error: 0.5168 - val_weighted_mean_absolute_error: 0.5523\n",
            "\n",
            "Epoch 00153: val_loss did not improve from 0.38422\n",
            "Epoch 154/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3960 - mean_absolute_error: 0.5264 - weighted_mean_absolute_error: 0.5607 - val_loss: 0.3835 - val_mean_absolute_error: 0.5586 - val_weighted_mean_absolute_error: 0.5454\n",
            "\n",
            "Epoch 00154: val_loss improved from 0.38422 to 0.38354, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 155/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3937 - mean_absolute_error: 0.5306 - weighted_mean_absolute_error: 0.5571 - val_loss: 0.3830 - val_mean_absolute_error: 0.5330 - val_weighted_mean_absolute_error: 0.5452\n",
            "\n",
            "Epoch 00155: val_loss improved from 0.38354 to 0.38301, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 156/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3944 - mean_absolute_error: 0.5253 - weighted_mean_absolute_error: 0.5578 - val_loss: 0.4870 - val_mean_absolute_error: 0.3866 - val_weighted_mean_absolute_error: 0.6328\n",
            "\n",
            "Epoch 00156: val_loss did not improve from 0.38301\n",
            "Epoch 157/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.4756 - mean_absolute_error: 0.4748 - weighted_mean_absolute_error: 0.6329 - val_loss: 0.4190 - val_mean_absolute_error: 0.6177 - val_weighted_mean_absolute_error: 0.5838\n",
            "\n",
            "Epoch 00157: val_loss did not improve from 0.38301\n",
            "Epoch 158/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.4212 - mean_absolute_error: 0.5703 - weighted_mean_absolute_error: 0.5864 - val_loss: 0.4073 - val_mean_absolute_error: 0.5852 - val_weighted_mean_absolute_error: 0.5703\n",
            "\n",
            "Epoch 00158: val_loss did not improve from 0.38301\n",
            "Epoch 159/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.4114 - mean_absolute_error: 0.5518 - weighted_mean_absolute_error: 0.5767 - val_loss: 0.3986 - val_mean_absolute_error: 0.5398 - val_weighted_mean_absolute_error: 0.5609\n",
            "\n",
            "Epoch 00159: val_loss did not improve from 0.38301\n",
            "Epoch 160/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.4028 - mean_absolute_error: 0.5126 - weighted_mean_absolute_error: 0.5693 - val_loss: 0.3925 - val_mean_absolute_error: 0.5205 - val_weighted_mean_absolute_error: 0.5557\n",
            "\n",
            "Epoch 00160: val_loss did not improve from 0.38301\n",
            "Epoch 161/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3975 - mean_absolute_error: 0.5004 - weighted_mean_absolute_error: 0.5651 - val_loss: 0.3897 - val_mean_absolute_error: 0.5165 - val_weighted_mean_absolute_error: 0.5504\n",
            "\n",
            "Epoch 00161: val_loss did not improve from 0.38301\n",
            "Epoch 162/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3973 - mean_absolute_error: 0.4972 - weighted_mean_absolute_error: 0.5618 - val_loss: 0.3856 - val_mean_absolute_error: 0.4977 - val_weighted_mean_absolute_error: 0.5474\n",
            "\n",
            "Epoch 00162: val_loss did not improve from 0.38301\n",
            "Epoch 163/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3922 - mean_absolute_error: 0.4933 - weighted_mean_absolute_error: 0.5585 - val_loss: 0.3857 - val_mean_absolute_error: 0.5008 - val_weighted_mean_absolute_error: 0.5471\n",
            "\n",
            "Epoch 00163: val_loss did not improve from 0.38301\n",
            "Epoch 164/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3960 - mean_absolute_error: 0.4954 - weighted_mean_absolute_error: 0.5590 - val_loss: 0.3842 - val_mean_absolute_error: 0.5154 - val_weighted_mean_absolute_error: 0.5474\n",
            "\n",
            "Epoch 00164: val_loss did not improve from 0.38301\n",
            "Epoch 165/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3918 - mean_absolute_error: 0.5017 - weighted_mean_absolute_error: 0.5552 - val_loss: 0.3829 - val_mean_absolute_error: 0.5149 - val_weighted_mean_absolute_error: 0.5453\n",
            "\n",
            "Epoch 00165: val_loss improved from 0.38301 to 0.38292, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 166/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3924 - mean_absolute_error: 0.5015 - weighted_mean_absolute_error: 0.5544 - val_loss: 0.3840 - val_mean_absolute_error: 0.5186 - val_weighted_mean_absolute_error: 0.5461\n",
            "\n",
            "Epoch 00166: val_loss did not improve from 0.38292\n",
            "Epoch 167/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3915 - mean_absolute_error: 0.4986 - weighted_mean_absolute_error: 0.5548 - val_loss: 0.3824 - val_mean_absolute_error: 0.4964 - val_weighted_mean_absolute_error: 0.5447\n",
            "\n",
            "Epoch 00167: val_loss improved from 0.38292 to 0.38239, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 168/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3892 - mean_absolute_error: 0.4929 - weighted_mean_absolute_error: 0.5558 - val_loss: 0.3822 - val_mean_absolute_error: 0.5055 - val_weighted_mean_absolute_error: 0.5434\n",
            "\n",
            "Epoch 00168: val_loss improved from 0.38239 to 0.38223, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 169/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3897 - mean_absolute_error: 0.4910 - weighted_mean_absolute_error: 0.5559 - val_loss: 0.3830 - val_mean_absolute_error: 0.5265 - val_weighted_mean_absolute_error: 0.5446\n",
            "\n",
            "Epoch 00169: val_loss did not improve from 0.38223\n",
            "Epoch 170/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3941 - mean_absolute_error: 0.4968 - weighted_mean_absolute_error: 0.5525 - val_loss: 0.3816 - val_mean_absolute_error: 0.4960 - val_weighted_mean_absolute_error: 0.5434\n",
            "\n",
            "Epoch 00170: val_loss improved from 0.38223 to 0.38160, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 171/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3887 - mean_absolute_error: 0.4976 - weighted_mean_absolute_error: 0.5561 - val_loss: 0.3817 - val_mean_absolute_error: 0.5058 - val_weighted_mean_absolute_error: 0.5435\n",
            "\n",
            "Epoch 00171: val_loss did not improve from 0.38160\n",
            "Epoch 172/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3895 - mean_absolute_error: 0.4941 - weighted_mean_absolute_error: 0.5520 - val_loss: 0.3817 - val_mean_absolute_error: 0.5026 - val_weighted_mean_absolute_error: 0.5445\n",
            "\n",
            "Epoch 00172: val_loss did not improve from 0.38160\n",
            "Epoch 173/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3901 - mean_absolute_error: 0.4951 - weighted_mean_absolute_error: 0.5526 - val_loss: 0.3815 - val_mean_absolute_error: 0.5081 - val_weighted_mean_absolute_error: 0.5439\n",
            "\n",
            "Epoch 00173: val_loss improved from 0.38160 to 0.38149, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 174/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3918 - mean_absolute_error: 0.4964 - weighted_mean_absolute_error: 0.5522 - val_loss: 0.3809 - val_mean_absolute_error: 0.5106 - val_weighted_mean_absolute_error: 0.5430\n",
            "\n",
            "Epoch 00174: val_loss improved from 0.38149 to 0.38087, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 175/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3895 - mean_absolute_error: 0.4925 - weighted_mean_absolute_error: 0.5509 - val_loss: 0.3800 - val_mean_absolute_error: 0.5034 - val_weighted_mean_absolute_error: 0.5416\n",
            "\n",
            "Epoch 00175: val_loss improved from 0.38087 to 0.37997, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 176/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3881 - mean_absolute_error: 0.4955 - weighted_mean_absolute_error: 0.5505 - val_loss: 0.3802 - val_mean_absolute_error: 0.4961 - val_weighted_mean_absolute_error: 0.5418\n",
            "\n",
            "Epoch 00176: val_loss did not improve from 0.37997\n",
            "Epoch 177/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3875 - mean_absolute_error: 0.4855 - weighted_mean_absolute_error: 0.5508 - val_loss: 0.3803 - val_mean_absolute_error: 0.5021 - val_weighted_mean_absolute_error: 0.5420\n",
            "\n",
            "Epoch 00177: val_loss did not improve from 0.37997\n",
            "Epoch 178/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3898 - mean_absolute_error: 0.4863 - weighted_mean_absolute_error: 0.5535 - val_loss: 0.3807 - val_mean_absolute_error: 0.4942 - val_weighted_mean_absolute_error: 0.5415\n",
            "\n",
            "Epoch 00178: val_loss did not improve from 0.37997\n",
            "Epoch 179/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3888 - mean_absolute_error: 0.4897 - weighted_mean_absolute_error: 0.5538 - val_loss: 0.3799 - val_mean_absolute_error: 0.5078 - val_weighted_mean_absolute_error: 0.5420\n",
            "\n",
            "Epoch 00179: val_loss improved from 0.37997 to 0.37987, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 180/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3879 - mean_absolute_error: 0.4905 - weighted_mean_absolute_error: 0.5529 - val_loss: 0.3803 - val_mean_absolute_error: 0.4977 - val_weighted_mean_absolute_error: 0.5413\n",
            "\n",
            "Epoch 00180: val_loss did not improve from 0.37987\n",
            "Epoch 181/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3893 - mean_absolute_error: 0.4907 - weighted_mean_absolute_error: 0.5532 - val_loss: 0.3799 - val_mean_absolute_error: 0.5043 - val_weighted_mean_absolute_error: 0.5416\n",
            "\n",
            "Epoch 00181: val_loss did not improve from 0.37987\n",
            "Epoch 182/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3909 - mean_absolute_error: 0.4891 - weighted_mean_absolute_error: 0.5528 - val_loss: 0.3796 - val_mean_absolute_error: 0.5020 - val_weighted_mean_absolute_error: 0.5416\n",
            "\n",
            "Epoch 00182: val_loss improved from 0.37987 to 0.37957, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 183/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3878 - mean_absolute_error: 0.4911 - weighted_mean_absolute_error: 0.5520 - val_loss: 0.3793 - val_mean_absolute_error: 0.4962 - val_weighted_mean_absolute_error: 0.5418\n",
            "\n",
            "Epoch 00183: val_loss improved from 0.37957 to 0.37935, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 184/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3876 - mean_absolute_error: 0.4859 - weighted_mean_absolute_error: 0.5538 - val_loss: 0.3790 - val_mean_absolute_error: 0.5075 - val_weighted_mean_absolute_error: 0.5408\n",
            "\n",
            "Epoch 00184: val_loss improved from 0.37935 to 0.37904, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 185/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3883 - mean_absolute_error: 0.4830 - weighted_mean_absolute_error: 0.5514 - val_loss: 0.3792 - val_mean_absolute_error: 0.5003 - val_weighted_mean_absolute_error: 0.5406\n",
            "\n",
            "Epoch 00185: val_loss did not improve from 0.37904\n",
            "Epoch 186/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3904 - mean_absolute_error: 0.4829 - weighted_mean_absolute_error: 0.5514 - val_loss: 0.3801 - val_mean_absolute_error: 0.5018 - val_weighted_mean_absolute_error: 0.5417\n",
            "\n",
            "Epoch 00186: val_loss did not improve from 0.37904\n",
            "Epoch 187/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3882 - mean_absolute_error: 0.4848 - weighted_mean_absolute_error: 0.5508 - val_loss: 0.3789 - val_mean_absolute_error: 0.4955 - val_weighted_mean_absolute_error: 0.5407\n",
            "\n",
            "Epoch 00187: val_loss improved from 0.37904 to 0.37892, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 188/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3874 - mean_absolute_error: 0.4804 - weighted_mean_absolute_error: 0.5511 - val_loss: 0.3797 - val_mean_absolute_error: 0.5130 - val_weighted_mean_absolute_error: 0.5419\n",
            "\n",
            "Epoch 00188: val_loss did not improve from 0.37892\n",
            "Epoch 189/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3891 - mean_absolute_error: 0.4869 - weighted_mean_absolute_error: 0.5497 - val_loss: 0.3798 - val_mean_absolute_error: 0.4991 - val_weighted_mean_absolute_error: 0.5415\n",
            "\n",
            "Epoch 00189: val_loss did not improve from 0.37892\n",
            "Epoch 190/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3871 - mean_absolute_error: 0.4801 - weighted_mean_absolute_error: 0.5499 - val_loss: 0.3789 - val_mean_absolute_error: 0.4978 - val_weighted_mean_absolute_error: 0.5406\n",
            "\n",
            "Epoch 00190: val_loss improved from 0.37892 to 0.37889, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 191/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3882 - mean_absolute_error: 0.4767 - weighted_mean_absolute_error: 0.5506 - val_loss: 0.3789 - val_mean_absolute_error: 0.5011 - val_weighted_mean_absolute_error: 0.5412\n",
            "\n",
            "Epoch 00191: val_loss did not improve from 0.37889\n",
            "Epoch 192/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3904 - mean_absolute_error: 0.4797 - weighted_mean_absolute_error: 0.5492 - val_loss: 0.3789 - val_mean_absolute_error: 0.5035 - val_weighted_mean_absolute_error: 0.5410\n",
            "\n",
            "Epoch 00192: val_loss improved from 0.37889 to 0.37888, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 193/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3867 - mean_absolute_error: 0.4769 - weighted_mean_absolute_error: 0.5519 - val_loss: 0.3793 - val_mean_absolute_error: 0.5059 - val_weighted_mean_absolute_error: 0.5412\n",
            "\n",
            "Epoch 00193: val_loss did not improve from 0.37888\n",
            "Epoch 194/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3911 - mean_absolute_error: 0.4824 - weighted_mean_absolute_error: 0.5532 - val_loss: 0.3782 - val_mean_absolute_error: 0.5104 - val_weighted_mean_absolute_error: 0.5406\n",
            "\n",
            "Epoch 00194: val_loss improved from 0.37888 to 0.37818, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 195/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3849 - mean_absolute_error: 0.4826 - weighted_mean_absolute_error: 0.5505 - val_loss: 0.3792 - val_mean_absolute_error: 0.4941 - val_weighted_mean_absolute_error: 0.5419\n",
            "\n",
            "Epoch 00195: val_loss did not improve from 0.37818\n",
            "Epoch 196/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3884 - mean_absolute_error: 0.4766 - weighted_mean_absolute_error: 0.5493 - val_loss: 0.3782 - val_mean_absolute_error: 0.4843 - val_weighted_mean_absolute_error: 0.5387\n",
            "\n",
            "Epoch 00196: val_loss did not improve from 0.37818\n",
            "Epoch 197/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3856 - mean_absolute_error: 0.4737 - weighted_mean_absolute_error: 0.5498 - val_loss: 0.3798 - val_mean_absolute_error: 0.4902 - val_weighted_mean_absolute_error: 0.5409\n",
            "\n",
            "Epoch 00197: val_loss did not improve from 0.37818\n",
            "Epoch 198/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3894 - mean_absolute_error: 0.4768 - weighted_mean_absolute_error: 0.5517 - val_loss: 0.3994 - val_mean_absolute_error: 0.4907 - val_weighted_mean_absolute_error: 0.5624\n",
            "\n",
            "Epoch 00198: val_loss did not improve from 0.37818\n",
            "Epoch 199/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3999 - mean_absolute_error: 0.4747 - weighted_mean_absolute_error: 0.5595 - val_loss: 0.3800 - val_mean_absolute_error: 0.4893 - val_weighted_mean_absolute_error: 0.5423\n",
            "\n",
            "Epoch 00199: val_loss did not improve from 0.37818\n",
            "Epoch 200/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3861 - mean_absolute_error: 0.4735 - weighted_mean_absolute_error: 0.5504 - val_loss: 0.3784 - val_mean_absolute_error: 0.4936 - val_weighted_mean_absolute_error: 0.5408\n",
            "\n",
            "Epoch 00200: val_loss did not improve from 0.37818\n",
            "Epoch 201/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3863 - mean_absolute_error: 0.4765 - weighted_mean_absolute_error: 0.5502 - val_loss: 0.3791 - val_mean_absolute_error: 0.4808 - val_weighted_mean_absolute_error: 0.5403\n",
            "\n",
            "Epoch 00201: val_loss did not improve from 0.37818\n",
            "Epoch 202/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3861 - mean_absolute_error: 0.4721 - weighted_mean_absolute_error: 0.5487 - val_loss: 0.3785 - val_mean_absolute_error: 0.4850 - val_weighted_mean_absolute_error: 0.5402\n",
            "\n",
            "Epoch 00202: val_loss did not improve from 0.37818\n",
            "Epoch 203/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3870 - mean_absolute_error: 0.4720 - weighted_mean_absolute_error: 0.5465 - val_loss: 0.3787 - val_mean_absolute_error: 0.4834 - val_weighted_mean_absolute_error: 0.5408\n",
            "\n",
            "Epoch 00203: val_loss did not improve from 0.37818\n",
            "Epoch 204/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3859 - mean_absolute_error: 0.4722 - weighted_mean_absolute_error: 0.5492 - val_loss: 0.3783 - val_mean_absolute_error: 0.4856 - val_weighted_mean_absolute_error: 0.5402\n",
            "\n",
            "Epoch 00204: val_loss did not improve from 0.37818\n",
            "Epoch 205/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3855 - mean_absolute_error: 0.4797 - weighted_mean_absolute_error: 0.5484 - val_loss: 0.3783 - val_mean_absolute_error: 0.4951 - val_weighted_mean_absolute_error: 0.5392\n",
            "\n",
            "Epoch 00205: val_loss did not improve from 0.37818\n",
            "Epoch 206/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3895 - mean_absolute_error: 0.4767 - weighted_mean_absolute_error: 0.5521 - val_loss: 0.3789 - val_mean_absolute_error: 0.4908 - val_weighted_mean_absolute_error: 0.5406\n",
            "\n",
            "Epoch 00206: val_loss did not improve from 0.37818\n",
            "Epoch 207/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3870 - mean_absolute_error: 0.4734 - weighted_mean_absolute_error: 0.5474 - val_loss: 0.3768 - val_mean_absolute_error: 0.4819 - val_weighted_mean_absolute_error: 0.5380\n",
            "\n",
            "Epoch 00207: val_loss improved from 0.37818 to 0.37677, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 208/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3873 - mean_absolute_error: 0.4689 - weighted_mean_absolute_error: 0.5474 - val_loss: 0.3788 - val_mean_absolute_error: 0.4758 - val_weighted_mean_absolute_error: 0.5407\n",
            "\n",
            "Epoch 00208: val_loss did not improve from 0.37677\n",
            "Epoch 209/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3883 - mean_absolute_error: 0.4674 - weighted_mean_absolute_error: 0.5498 - val_loss: 0.3782 - val_mean_absolute_error: 0.4999 - val_weighted_mean_absolute_error: 0.5413\n",
            "\n",
            "Epoch 00209: val_loss did not improve from 0.37677\n",
            "Epoch 210/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3892 - mean_absolute_error: 0.4710 - weighted_mean_absolute_error: 0.5510 - val_loss: 0.3774 - val_mean_absolute_error: 0.4759 - val_weighted_mean_absolute_error: 0.5401\n",
            "\n",
            "Epoch 00210: val_loss did not improve from 0.37677\n",
            "Epoch 211/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3854 - mean_absolute_error: 0.4629 - weighted_mean_absolute_error: 0.5516 - val_loss: 0.3778 - val_mean_absolute_error: 0.4693 - val_weighted_mean_absolute_error: 0.5387\n",
            "\n",
            "Epoch 00211: val_loss did not improve from 0.37677\n",
            "Epoch 212/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3874 - mean_absolute_error: 0.4668 - weighted_mean_absolute_error: 0.5464 - val_loss: 0.3771 - val_mean_absolute_error: 0.4723 - val_weighted_mean_absolute_error: 0.5376\n",
            "\n",
            "Epoch 00212: val_loss did not improve from 0.37677\n",
            "Epoch 213/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3862 - mean_absolute_error: 0.4626 - weighted_mean_absolute_error: 0.5489 - val_loss: 0.3768 - val_mean_absolute_error: 0.4816 - val_weighted_mean_absolute_error: 0.5389\n",
            "\n",
            "Epoch 00213: val_loss did not improve from 0.37677\n",
            "Epoch 214/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3840 - mean_absolute_error: 0.4658 - weighted_mean_absolute_error: 0.5487 - val_loss: 0.3768 - val_mean_absolute_error: 0.4870 - val_weighted_mean_absolute_error: 0.5386\n",
            "\n",
            "Epoch 00214: val_loss improved from 0.37677 to 0.37677, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 215/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3841 - mean_absolute_error: 0.4669 - weighted_mean_absolute_error: 0.5499 - val_loss: 0.3778 - val_mean_absolute_error: 0.4955 - val_weighted_mean_absolute_error: 0.5398\n",
            "\n",
            "Epoch 00215: val_loss did not improve from 0.37677\n",
            "Epoch 216/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3854 - mean_absolute_error: 0.4642 - weighted_mean_absolute_error: 0.5495 - val_loss: 0.3772 - val_mean_absolute_error: 0.4889 - val_weighted_mean_absolute_error: 0.5386\n",
            "\n",
            "Epoch 00216: val_loss did not improve from 0.37677\n",
            "Epoch 217/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3857 - mean_absolute_error: 0.4639 - weighted_mean_absolute_error: 0.5477 - val_loss: 0.3768 - val_mean_absolute_error: 0.4906 - val_weighted_mean_absolute_error: 0.5377\n",
            "\n",
            "Epoch 00217: val_loss did not improve from 0.37677\n",
            "Epoch 218/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3870 - mean_absolute_error: 0.4644 - weighted_mean_absolute_error: 0.5475 - val_loss: 0.3779 - val_mean_absolute_error: 0.5250 - val_weighted_mean_absolute_error: 0.5391\n",
            "\n",
            "Epoch 00218: val_loss did not improve from 0.37677\n",
            "Epoch 219/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3853 - mean_absolute_error: 0.4743 - weighted_mean_absolute_error: 0.5481 - val_loss: 0.3757 - val_mean_absolute_error: 0.4964 - val_weighted_mean_absolute_error: 0.5359\n",
            "\n",
            "Epoch 00219: val_loss improved from 0.37677 to 0.37573, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 220/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3836 - mean_absolute_error: 0.4711 - weighted_mean_absolute_error: 0.5451 - val_loss: 0.3756 - val_mean_absolute_error: 0.4818 - val_weighted_mean_absolute_error: 0.5357\n",
            "\n",
            "Epoch 00220: val_loss improved from 0.37573 to 0.37561, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 221/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3841 - mean_absolute_error: 0.4650 - weighted_mean_absolute_error: 0.5485 - val_loss: 0.3753 - val_mean_absolute_error: 0.5152 - val_weighted_mean_absolute_error: 0.5363\n",
            "\n",
            "Epoch 00221: val_loss improved from 0.37561 to 0.37526, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 222/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3841 - mean_absolute_error: 0.4715 - weighted_mean_absolute_error: 0.5456 - val_loss: 0.3756 - val_mean_absolute_error: 0.4920 - val_weighted_mean_absolute_error: 0.5365\n",
            "\n",
            "Epoch 00222: val_loss did not improve from 0.37526\n",
            "Epoch 223/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3846 - mean_absolute_error: 0.4722 - weighted_mean_absolute_error: 0.5475 - val_loss: 0.3743 - val_mean_absolute_error: 0.5042 - val_weighted_mean_absolute_error: 0.5344\n",
            "\n",
            "Epoch 00223: val_loss improved from 0.37526 to 0.37432, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 224/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3847 - mean_absolute_error: 0.4706 - weighted_mean_absolute_error: 0.5476 - val_loss: 0.3757 - val_mean_absolute_error: 0.5062 - val_weighted_mean_absolute_error: 0.5372\n",
            "\n",
            "Epoch 00224: val_loss did not improve from 0.37432\n",
            "Epoch 225/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3838 - mean_absolute_error: 0.4724 - weighted_mean_absolute_error: 0.5457 - val_loss: 0.3746 - val_mean_absolute_error: 0.4931 - val_weighted_mean_absolute_error: 0.5351\n",
            "\n",
            "Epoch 00225: val_loss did not improve from 0.37432\n",
            "Epoch 226/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3820 - mean_absolute_error: 0.4717 - weighted_mean_absolute_error: 0.5436 - val_loss: 0.3743 - val_mean_absolute_error: 0.4738 - val_weighted_mean_absolute_error: 0.5351\n",
            "\n",
            "Epoch 00226: val_loss did not improve from 0.37432\n",
            "Epoch 227/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3831 - mean_absolute_error: 0.4633 - weighted_mean_absolute_error: 0.5439 - val_loss: 0.3743 - val_mean_absolute_error: 0.5043 - val_weighted_mean_absolute_error: 0.5345\n",
            "\n",
            "Epoch 00227: val_loss improved from 0.37432 to 0.37429, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 228/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3866 - mean_absolute_error: 0.4687 - weighted_mean_absolute_error: 0.5433 - val_loss: 0.3739 - val_mean_absolute_error: 0.4878 - val_weighted_mean_absolute_error: 0.5354\n",
            "\n",
            "Epoch 00228: val_loss improved from 0.37429 to 0.37390, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 229/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3828 - mean_absolute_error: 0.4638 - weighted_mean_absolute_error: 0.5451 - val_loss: 0.3739 - val_mean_absolute_error: 0.4848 - val_weighted_mean_absolute_error: 0.5343\n",
            "\n",
            "Epoch 00229: val_loss did not improve from 0.37390\n",
            "Epoch 230/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3844 - mean_absolute_error: 0.4597 - weighted_mean_absolute_error: 0.5460 - val_loss: 0.3738 - val_mean_absolute_error: 0.4662 - val_weighted_mean_absolute_error: 0.5344\n",
            "\n",
            "Epoch 00230: val_loss improved from 0.37390 to 0.37381, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 231/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3829 - mean_absolute_error: 0.4552 - weighted_mean_absolute_error: 0.5453 - val_loss: 0.3741 - val_mean_absolute_error: 0.4788 - val_weighted_mean_absolute_error: 0.5339\n",
            "\n",
            "Epoch 00231: val_loss did not improve from 0.37381\n",
            "Epoch 232/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3854 - mean_absolute_error: 0.4537 - weighted_mean_absolute_error: 0.5465 - val_loss: 0.3740 - val_mean_absolute_error: 0.4785 - val_weighted_mean_absolute_error: 0.5336\n",
            "\n",
            "Epoch 00232: val_loss did not improve from 0.37381\n",
            "Epoch 233/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3805 - mean_absolute_error: 0.4509 - weighted_mean_absolute_error: 0.5415 - val_loss: 0.3736 - val_mean_absolute_error: 0.4985 - val_weighted_mean_absolute_error: 0.5340\n",
            "\n",
            "Epoch 00233: val_loss improved from 0.37381 to 0.37357, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 234/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3838 - mean_absolute_error: 0.4572 - weighted_mean_absolute_error: 0.5473 - val_loss: 0.3744 - val_mean_absolute_error: 0.4779 - val_weighted_mean_absolute_error: 0.5350\n",
            "\n",
            "Epoch 00234: val_loss did not improve from 0.37357\n",
            "Epoch 235/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3834 - mean_absolute_error: 0.4478 - weighted_mean_absolute_error: 0.5447 - val_loss: 0.3732 - val_mean_absolute_error: 0.4646 - val_weighted_mean_absolute_error: 0.5345\n",
            "\n",
            "Epoch 00235: val_loss improved from 0.37357 to 0.37322, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 236/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3820 - mean_absolute_error: 0.4419 - weighted_mean_absolute_error: 0.5438 - val_loss: 0.3725 - val_mean_absolute_error: 0.4786 - val_weighted_mean_absolute_error: 0.5329\n",
            "\n",
            "Epoch 00236: val_loss improved from 0.37322 to 0.37245, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 237/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3810 - mean_absolute_error: 0.4469 - weighted_mean_absolute_error: 0.5422 - val_loss: 0.3726 - val_mean_absolute_error: 0.4649 - val_weighted_mean_absolute_error: 0.5334\n",
            "\n",
            "Epoch 00237: val_loss did not improve from 0.37245\n",
            "Epoch 238/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3828 - mean_absolute_error: 0.4484 - weighted_mean_absolute_error: 0.5449 - val_loss: 0.3731 - val_mean_absolute_error: 0.4607 - val_weighted_mean_absolute_error: 0.5335\n",
            "\n",
            "Epoch 00238: val_loss did not improve from 0.37245\n",
            "Epoch 239/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3780 - mean_absolute_error: 0.4467 - weighted_mean_absolute_error: 0.5411 - val_loss: 0.3730 - val_mean_absolute_error: 0.4634 - val_weighted_mean_absolute_error: 0.5323\n",
            "\n",
            "Epoch 00239: val_loss did not improve from 0.37245\n",
            "Epoch 240/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3820 - mean_absolute_error: 0.4406 - weighted_mean_absolute_error: 0.5443 - val_loss: 0.3724 - val_mean_absolute_error: 0.4525 - val_weighted_mean_absolute_error: 0.5323\n",
            "\n",
            "Epoch 00240: val_loss improved from 0.37245 to 0.37242, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 241/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3800 - mean_absolute_error: 0.4410 - weighted_mean_absolute_error: 0.5436 - val_loss: 0.3733 - val_mean_absolute_error: 0.4510 - val_weighted_mean_absolute_error: 0.5337\n",
            "\n",
            "Epoch 00241: val_loss did not improve from 0.37242\n",
            "Epoch 242/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3802 - mean_absolute_error: 0.4408 - weighted_mean_absolute_error: 0.5416 - val_loss: 0.3713 - val_mean_absolute_error: 0.4624 - val_weighted_mean_absolute_error: 0.5318\n",
            "\n",
            "Epoch 00242: val_loss improved from 0.37242 to 0.37129, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 243/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3816 - mean_absolute_error: 0.4410 - weighted_mean_absolute_error: 0.5406 - val_loss: 0.3722 - val_mean_absolute_error: 0.4648 - val_weighted_mean_absolute_error: 0.5320\n",
            "\n",
            "Epoch 00243: val_loss did not improve from 0.37129\n",
            "Epoch 244/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3794 - mean_absolute_error: 0.4420 - weighted_mean_absolute_error: 0.5438 - val_loss: 0.3719 - val_mean_absolute_error: 0.4571 - val_weighted_mean_absolute_error: 0.5333\n",
            "\n",
            "Epoch 00244: val_loss did not improve from 0.37129\n",
            "Epoch 245/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3825 - mean_absolute_error: 0.4399 - weighted_mean_absolute_error: 0.5416 - val_loss: 0.3726 - val_mean_absolute_error: 0.4586 - val_weighted_mean_absolute_error: 0.5334\n",
            "\n",
            "Epoch 00245: val_loss did not improve from 0.37129\n",
            "Epoch 246/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3801 - mean_absolute_error: 0.4409 - weighted_mean_absolute_error: 0.5435 - val_loss: 0.3716 - val_mean_absolute_error: 0.4632 - val_weighted_mean_absolute_error: 0.5314\n",
            "\n",
            "Epoch 00246: val_loss did not improve from 0.37129\n",
            "Epoch 247/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3821 - mean_absolute_error: 0.4466 - weighted_mean_absolute_error: 0.5402 - val_loss: 0.3720 - val_mean_absolute_error: 0.4583 - val_weighted_mean_absolute_error: 0.5321\n",
            "\n",
            "Epoch 00247: val_loss did not improve from 0.37129\n",
            "Epoch 248/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3808 - mean_absolute_error: 0.4413 - weighted_mean_absolute_error: 0.5423 - val_loss: 0.3717 - val_mean_absolute_error: 0.4481 - val_weighted_mean_absolute_error: 0.5311\n",
            "\n",
            "Epoch 00248: val_loss did not improve from 0.37129\n",
            "Epoch 249/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3794 - mean_absolute_error: 0.4365 - weighted_mean_absolute_error: 0.5409 - val_loss: 0.3714 - val_mean_absolute_error: 0.4523 - val_weighted_mean_absolute_error: 0.5307\n",
            "\n",
            "Epoch 00249: val_loss did not improve from 0.37129\n",
            "Epoch 250/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3838 - mean_absolute_error: 0.4408 - weighted_mean_absolute_error: 0.5410 - val_loss: 0.3718 - val_mean_absolute_error: 0.4685 - val_weighted_mean_absolute_error: 0.5323\n",
            "\n",
            "Epoch 00250: val_loss did not improve from 0.37129\n",
            "Epoch 251/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3800 - mean_absolute_error: 0.4389 - weighted_mean_absolute_error: 0.5398 - val_loss: 0.3710 - val_mean_absolute_error: 0.4452 - val_weighted_mean_absolute_error: 0.5304\n",
            "\n",
            "Epoch 00251: val_loss improved from 0.37129 to 0.37098, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 252/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3788 - mean_absolute_error: 0.4359 - weighted_mean_absolute_error: 0.5407 - val_loss: 0.3705 - val_mean_absolute_error: 0.4435 - val_weighted_mean_absolute_error: 0.5310\n",
            "\n",
            "Epoch 00252: val_loss improved from 0.37098 to 0.37051, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 253/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3817 - mean_absolute_error: 0.4356 - weighted_mean_absolute_error: 0.5419 - val_loss: 0.3719 - val_mean_absolute_error: 0.4542 - val_weighted_mean_absolute_error: 0.5315\n",
            "\n",
            "Epoch 00253: val_loss did not improve from 0.37051\n",
            "Epoch 254/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3828 - mean_absolute_error: 0.4366 - weighted_mean_absolute_error: 0.5439 - val_loss: 0.3712 - val_mean_absolute_error: 0.4446 - val_weighted_mean_absolute_error: 0.5313\n",
            "\n",
            "Epoch 00254: val_loss did not improve from 0.37051\n",
            "Epoch 255/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3817 - mean_absolute_error: 0.4357 - weighted_mean_absolute_error: 0.5407 - val_loss: 0.3715 - val_mean_absolute_error: 0.4478 - val_weighted_mean_absolute_error: 0.5309\n",
            "\n",
            "Epoch 00255: val_loss did not improve from 0.37051\n",
            "Epoch 256/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3826 - mean_absolute_error: 0.4342 - weighted_mean_absolute_error: 0.5413 - val_loss: 0.3715 - val_mean_absolute_error: 0.4550 - val_weighted_mean_absolute_error: 0.5325\n",
            "\n",
            "Epoch 00256: val_loss did not improve from 0.37051\n",
            "Epoch 257/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3790 - mean_absolute_error: 0.4324 - weighted_mean_absolute_error: 0.5406 - val_loss: 0.3707 - val_mean_absolute_error: 0.4524 - val_weighted_mean_absolute_error: 0.5315\n",
            "\n",
            "Epoch 00257: val_loss did not improve from 0.37051\n",
            "Epoch 258/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3785 - mean_absolute_error: 0.4276 - weighted_mean_absolute_error: 0.5387 - val_loss: 0.3714 - val_mean_absolute_error: 0.4419 - val_weighted_mean_absolute_error: 0.5326\n",
            "\n",
            "Epoch 00258: val_loss did not improve from 0.37051\n",
            "Epoch 259/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3815 - mean_absolute_error: 0.4307 - weighted_mean_absolute_error: 0.5400 - val_loss: 0.3708 - val_mean_absolute_error: 0.4363 - val_weighted_mean_absolute_error: 0.5297\n",
            "\n",
            "Epoch 00259: val_loss did not improve from 0.37051\n",
            "Epoch 260/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3811 - mean_absolute_error: 0.4310 - weighted_mean_absolute_error: 0.5422 - val_loss: 0.3705 - val_mean_absolute_error: 0.4422 - val_weighted_mean_absolute_error: 0.5301\n",
            "\n",
            "Epoch 00260: val_loss improved from 0.37051 to 0.37046, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 261/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3811 - mean_absolute_error: 0.4317 - weighted_mean_absolute_error: 0.5398 - val_loss: 0.3707 - val_mean_absolute_error: 0.4337 - val_weighted_mean_absolute_error: 0.5303\n",
            "\n",
            "Epoch 00261: val_loss did not improve from 0.37046\n",
            "Epoch 262/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3811 - mean_absolute_error: 0.4293 - weighted_mean_absolute_error: 0.5386 - val_loss: 0.3704 - val_mean_absolute_error: 0.4423 - val_weighted_mean_absolute_error: 0.5300\n",
            "\n",
            "Epoch 00262: val_loss improved from 0.37046 to 0.37037, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 263/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3771 - mean_absolute_error: 0.4299 - weighted_mean_absolute_error: 0.5395 - val_loss: 0.3702 - val_mean_absolute_error: 0.4355 - val_weighted_mean_absolute_error: 0.5312\n",
            "\n",
            "Epoch 00263: val_loss improved from 0.37037 to 0.37021, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 264/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3785 - mean_absolute_error: 0.4287 - weighted_mean_absolute_error: 0.5392 - val_loss: 0.3712 - val_mean_absolute_error: 0.4357 - val_weighted_mean_absolute_error: 0.5317\n",
            "\n",
            "Epoch 00264: val_loss did not improve from 0.37021\n",
            "Epoch 265/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3788 - mean_absolute_error: 0.4229 - weighted_mean_absolute_error: 0.5440 - val_loss: 0.3699 - val_mean_absolute_error: 0.4361 - val_weighted_mean_absolute_error: 0.5302\n",
            "\n",
            "Epoch 00265: val_loss improved from 0.37021 to 0.36994, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 266/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3774 - mean_absolute_error: 0.4291 - weighted_mean_absolute_error: 0.5389 - val_loss: 0.3715 - val_mean_absolute_error: 0.4420 - val_weighted_mean_absolute_error: 0.5321\n",
            "\n",
            "Epoch 00266: val_loss did not improve from 0.36994\n",
            "Epoch 267/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3816 - mean_absolute_error: 0.4312 - weighted_mean_absolute_error: 0.5398 - val_loss: 0.3702 - val_mean_absolute_error: 0.4421 - val_weighted_mean_absolute_error: 0.5299\n",
            "\n",
            "Epoch 00267: val_loss did not improve from 0.36994\n",
            "Epoch 268/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3764 - mean_absolute_error: 0.4307 - weighted_mean_absolute_error: 0.5391 - val_loss: 0.3699 - val_mean_absolute_error: 0.4321 - val_weighted_mean_absolute_error: 0.5302\n",
            "\n",
            "Epoch 00268: val_loss improved from 0.36994 to 0.36993, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 269/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3772 - mean_absolute_error: 0.4319 - weighted_mean_absolute_error: 0.5401 - val_loss: 0.3702 - val_mean_absolute_error: 0.4370 - val_weighted_mean_absolute_error: 0.5305\n",
            "\n",
            "Epoch 00269: val_loss did not improve from 0.36993\n",
            "Epoch 270/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3809 - mean_absolute_error: 0.4327 - weighted_mean_absolute_error: 0.5406 - val_loss: 0.3697 - val_mean_absolute_error: 0.4334 - val_weighted_mean_absolute_error: 0.5296\n",
            "\n",
            "Epoch 00270: val_loss improved from 0.36993 to 0.36967, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 271/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3798 - mean_absolute_error: 0.4283 - weighted_mean_absolute_error: 0.5415 - val_loss: 0.3701 - val_mean_absolute_error: 0.4354 - val_weighted_mean_absolute_error: 0.5302\n",
            "\n",
            "Epoch 00271: val_loss did not improve from 0.36967\n",
            "Epoch 272/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3799 - mean_absolute_error: 0.4317 - weighted_mean_absolute_error: 0.5392 - val_loss: 0.3709 - val_mean_absolute_error: 0.4372 - val_weighted_mean_absolute_error: 0.5315\n",
            "\n",
            "Epoch 00272: val_loss did not improve from 0.36967\n",
            "Epoch 273/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3785 - mean_absolute_error: 0.4267 - weighted_mean_absolute_error: 0.5372 - val_loss: 0.3696 - val_mean_absolute_error: 0.4350 - val_weighted_mean_absolute_error: 0.5296\n",
            "\n",
            "Epoch 00273: val_loss improved from 0.36967 to 0.36960, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 274/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3808 - mean_absolute_error: 0.4277 - weighted_mean_absolute_error: 0.5419 - val_loss: 0.3696 - val_mean_absolute_error: 0.4319 - val_weighted_mean_absolute_error: 0.5289\n",
            "\n",
            "Epoch 00274: val_loss did not improve from 0.36960\n",
            "Epoch 275/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3810 - mean_absolute_error: 0.4324 - weighted_mean_absolute_error: 0.5349 - val_loss: 0.3693 - val_mean_absolute_error: 0.4306 - val_weighted_mean_absolute_error: 0.5285\n",
            "\n",
            "Epoch 00275: val_loss improved from 0.36960 to 0.36927, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 276/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3793 - mean_absolute_error: 0.4328 - weighted_mean_absolute_error: 0.5397 - val_loss: 0.3693 - val_mean_absolute_error: 0.4332 - val_weighted_mean_absolute_error: 0.5297\n",
            "\n",
            "Epoch 00276: val_loss did not improve from 0.36927\n",
            "Epoch 277/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3778 - mean_absolute_error: 0.4320 - weighted_mean_absolute_error: 0.5385 - val_loss: 0.3693 - val_mean_absolute_error: 0.4380 - val_weighted_mean_absolute_error: 0.5284\n",
            "\n",
            "Epoch 00277: val_loss did not improve from 0.36927\n",
            "Epoch 278/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3780 - mean_absolute_error: 0.4297 - weighted_mean_absolute_error: 0.5398 - val_loss: 0.3694 - val_mean_absolute_error: 0.4319 - val_weighted_mean_absolute_error: 0.5296\n",
            "\n",
            "Epoch 00278: val_loss did not improve from 0.36927\n",
            "Epoch 279/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3796 - mean_absolute_error: 0.4352 - weighted_mean_absolute_error: 0.5422 - val_loss: 0.3710 - val_mean_absolute_error: 0.4349 - val_weighted_mean_absolute_error: 0.5309\n",
            "\n",
            "Epoch 00279: val_loss did not improve from 0.36927\n",
            "Epoch 280/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3775 - mean_absolute_error: 0.4351 - weighted_mean_absolute_error: 0.5375 - val_loss: 0.3687 - val_mean_absolute_error: 0.4370 - val_weighted_mean_absolute_error: 0.5289\n",
            "\n",
            "Epoch 00280: val_loss improved from 0.36927 to 0.36873, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 281/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3777 - mean_absolute_error: 0.4306 - weighted_mean_absolute_error: 0.5395 - val_loss: 0.3687 - val_mean_absolute_error: 0.4323 - val_weighted_mean_absolute_error: 0.5293\n",
            "\n",
            "Epoch 00281: val_loss improved from 0.36873 to 0.36865, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 282/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3783 - mean_absolute_error: 0.4351 - weighted_mean_absolute_error: 0.5412 - val_loss: 0.3692 - val_mean_absolute_error: 0.4342 - val_weighted_mean_absolute_error: 0.5290\n",
            "\n",
            "Epoch 00282: val_loss did not improve from 0.36865\n",
            "Epoch 283/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3796 - mean_absolute_error: 0.4381 - weighted_mean_absolute_error: 0.5394 - val_loss: 0.3702 - val_mean_absolute_error: 0.4395 - val_weighted_mean_absolute_error: 0.5307\n",
            "\n",
            "Epoch 00283: val_loss did not improve from 0.36865\n",
            "Epoch 284/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3775 - mean_absolute_error: 0.4330 - weighted_mean_absolute_error: 0.5408 - val_loss: 0.3700 - val_mean_absolute_error: 0.4483 - val_weighted_mean_absolute_error: 0.5286\n",
            "\n",
            "Epoch 00284: val_loss did not improve from 0.36865\n",
            "Epoch 285/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3768 - mean_absolute_error: 0.4411 - weighted_mean_absolute_error: 0.5427 - val_loss: 0.3692 - val_mean_absolute_error: 0.4374 - val_weighted_mean_absolute_error: 0.5295\n",
            "\n",
            "Epoch 00285: val_loss did not improve from 0.36865\n",
            "Epoch 286/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3772 - mean_absolute_error: 0.4347 - weighted_mean_absolute_error: 0.5411 - val_loss: 0.3698 - val_mean_absolute_error: 0.4377 - val_weighted_mean_absolute_error: 0.5289\n",
            "\n",
            "Epoch 00286: val_loss did not improve from 0.36865\n",
            "Epoch 287/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3783 - mean_absolute_error: 0.4336 - weighted_mean_absolute_error: 0.5392 - val_loss: 0.3692 - val_mean_absolute_error: 0.4286 - val_weighted_mean_absolute_error: 0.5299\n",
            "\n",
            "Epoch 00287: val_loss did not improve from 0.36865\n",
            "Epoch 288/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3766 - mean_absolute_error: 0.4334 - weighted_mean_absolute_error: 0.5387 - val_loss: 0.3698 - val_mean_absolute_error: 0.4433 - val_weighted_mean_absolute_error: 0.5299\n",
            "\n",
            "Epoch 00288: val_loss did not improve from 0.36865\n",
            "Epoch 289/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3769 - mean_absolute_error: 0.4451 - weighted_mean_absolute_error: 0.5373 - val_loss: 0.3686 - val_mean_absolute_error: 0.4429 - val_weighted_mean_absolute_error: 0.5275\n",
            "\n",
            "Epoch 00289: val_loss improved from 0.36865 to 0.36863, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 290/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3756 - mean_absolute_error: 0.4439 - weighted_mean_absolute_error: 0.5376 - val_loss: 0.3689 - val_mean_absolute_error: 0.4351 - val_weighted_mean_absolute_error: 0.5294\n",
            "\n",
            "Epoch 00290: val_loss did not improve from 0.36863\n",
            "Epoch 291/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3793 - mean_absolute_error: 0.4422 - weighted_mean_absolute_error: 0.5368 - val_loss: 0.3690 - val_mean_absolute_error: 0.4408 - val_weighted_mean_absolute_error: 0.5290\n",
            "\n",
            "Epoch 00291: val_loss did not improve from 0.36863\n",
            "Epoch 292/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3812 - mean_absolute_error: 0.4454 - weighted_mean_absolute_error: 0.5401 - val_loss: 0.3904 - val_mean_absolute_error: 0.4205 - val_weighted_mean_absolute_error: 0.5514\n",
            "\n",
            "Epoch 00292: val_loss did not improve from 0.36863\n",
            "Epoch 293/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3912 - mean_absolute_error: 0.4378 - weighted_mean_absolute_error: 0.5515 - val_loss: 0.3722 - val_mean_absolute_error: 0.4381 - val_weighted_mean_absolute_error: 0.5329\n",
            "\n",
            "Epoch 00293: val_loss did not improve from 0.36863\n",
            "Epoch 294/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3787 - mean_absolute_error: 0.4412 - weighted_mean_absolute_error: 0.5417 - val_loss: 0.3687 - val_mean_absolute_error: 0.4502 - val_weighted_mean_absolute_error: 0.5288\n",
            "\n",
            "Epoch 00294: val_loss did not improve from 0.36863\n",
            "Epoch 295/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3792 - mean_absolute_error: 0.4490 - weighted_mean_absolute_error: 0.5398 - val_loss: 0.3679 - val_mean_absolute_error: 0.4464 - val_weighted_mean_absolute_error: 0.5276\n",
            "\n",
            "Epoch 00295: val_loss improved from 0.36863 to 0.36787, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 296/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3785 - mean_absolute_error: 0.4527 - weighted_mean_absolute_error: 0.5414 - val_loss: 0.3683 - val_mean_absolute_error: 0.4441 - val_weighted_mean_absolute_error: 0.5289\n",
            "\n",
            "Epoch 00296: val_loss did not improve from 0.36787\n",
            "Epoch 297/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3764 - mean_absolute_error: 0.4509 - weighted_mean_absolute_error: 0.5386 - val_loss: 0.3683 - val_mean_absolute_error: 0.4373 - val_weighted_mean_absolute_error: 0.5284\n",
            "\n",
            "Epoch 00297: val_loss did not improve from 0.36787\n",
            "Epoch 298/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3766 - mean_absolute_error: 0.4460 - weighted_mean_absolute_error: 0.5401 - val_loss: 0.3683 - val_mean_absolute_error: 0.4413 - val_weighted_mean_absolute_error: 0.5276\n",
            "\n",
            "Epoch 00298: val_loss did not improve from 0.36787\n",
            "Epoch 299/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3762 - mean_absolute_error: 0.4441 - weighted_mean_absolute_error: 0.5419 - val_loss: 0.3682 - val_mean_absolute_error: 0.4554 - val_weighted_mean_absolute_error: 0.5282\n",
            "\n",
            "Epoch 00299: val_loss did not improve from 0.36787\n",
            "Epoch 300/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3797 - mean_absolute_error: 0.4509 - weighted_mean_absolute_error: 0.5397 - val_loss: 0.3679 - val_mean_absolute_error: 0.4409 - val_weighted_mean_absolute_error: 0.5276\n",
            "\n",
            "Epoch 00300: val_loss did not improve from 0.36787\n",
            "Epoch 301/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3770 - mean_absolute_error: 0.4538 - weighted_mean_absolute_error: 0.5368 - val_loss: 0.3686 - val_mean_absolute_error: 0.4471 - val_weighted_mean_absolute_error: 0.5280\n",
            "\n",
            "Epoch 00301: val_loss did not improve from 0.36787\n",
            "Epoch 302/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3773 - mean_absolute_error: 0.4471 - weighted_mean_absolute_error: 0.5398 - val_loss: 0.3678 - val_mean_absolute_error: 0.4432 - val_weighted_mean_absolute_error: 0.5279\n",
            "\n",
            "Epoch 00302: val_loss improved from 0.36787 to 0.36779, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 303/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3764 - mean_absolute_error: 0.4500 - weighted_mean_absolute_error: 0.5383 - val_loss: 0.3683 - val_mean_absolute_error: 0.4466 - val_weighted_mean_absolute_error: 0.5288\n",
            "\n",
            "Epoch 00303: val_loss did not improve from 0.36779\n",
            "Epoch 304/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3781 - mean_absolute_error: 0.4531 - weighted_mean_absolute_error: 0.5358 - val_loss: 0.3679 - val_mean_absolute_error: 0.4481 - val_weighted_mean_absolute_error: 0.5281\n",
            "\n",
            "Epoch 00304: val_loss did not improve from 0.36779\n",
            "Epoch 305/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3742 - mean_absolute_error: 0.4526 - weighted_mean_absolute_error: 0.5389 - val_loss: 0.3679 - val_mean_absolute_error: 0.4452 - val_weighted_mean_absolute_error: 0.5278\n",
            "\n",
            "Epoch 00305: val_loss did not improve from 0.36779\n",
            "Epoch 306/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3772 - mean_absolute_error: 0.4497 - weighted_mean_absolute_error: 0.5375 - val_loss: 0.3679 - val_mean_absolute_error: 0.4494 - val_weighted_mean_absolute_error: 0.5278\n",
            "\n",
            "Epoch 00306: val_loss did not improve from 0.36779\n",
            "Epoch 307/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3772 - mean_absolute_error: 0.4558 - weighted_mean_absolute_error: 0.5356 - val_loss: 0.3675 - val_mean_absolute_error: 0.4535 - val_weighted_mean_absolute_error: 0.5278\n",
            "\n",
            "Epoch 00307: val_loss improved from 0.36779 to 0.36752, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 308/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3765 - mean_absolute_error: 0.4528 - weighted_mean_absolute_error: 0.5367 - val_loss: 0.3679 - val_mean_absolute_error: 0.4464 - val_weighted_mean_absolute_error: 0.5301\n",
            "\n",
            "Epoch 00308: val_loss did not improve from 0.36752\n",
            "Epoch 309/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3998 - mean_absolute_error: 0.4792 - weighted_mean_absolute_error: 0.5636 - val_loss: 0.3908 - val_mean_absolute_error: 0.4593 - val_weighted_mean_absolute_error: 0.5552\n",
            "\n",
            "Epoch 00309: val_loss did not improve from 0.36752\n",
            "Epoch 310/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3941 - mean_absolute_error: 0.4643 - weighted_mean_absolute_error: 0.5566 - val_loss: 0.3779 - val_mean_absolute_error: 0.4654 - val_weighted_mean_absolute_error: 0.5396\n",
            "\n",
            "Epoch 00310: val_loss did not improve from 0.36752\n",
            "Epoch 311/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3867 - mean_absolute_error: 0.4575 - weighted_mean_absolute_error: 0.5487 - val_loss: 0.3747 - val_mean_absolute_error: 0.4666 - val_weighted_mean_absolute_error: 0.5372\n",
            "\n",
            "Epoch 00311: val_loss did not improve from 0.36752\n",
            "Epoch 312/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3848 - mean_absolute_error: 0.4546 - weighted_mean_absolute_error: 0.5505 - val_loss: 0.3729 - val_mean_absolute_error: 0.4666 - val_weighted_mean_absolute_error: 0.5344\n",
            "\n",
            "Epoch 00312: val_loss did not improve from 0.36752\n",
            "Epoch 313/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3802 - mean_absolute_error: 0.4606 - weighted_mean_absolute_error: 0.5443 - val_loss: 0.3717 - val_mean_absolute_error: 0.4698 - val_weighted_mean_absolute_error: 0.5338\n",
            "\n",
            "Epoch 00313: val_loss did not improve from 0.36752\n",
            "Epoch 314/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3808 - mean_absolute_error: 0.4674 - weighted_mean_absolute_error: 0.5425 - val_loss: 0.3724 - val_mean_absolute_error: 0.4687 - val_weighted_mean_absolute_error: 0.5339\n",
            "\n",
            "Epoch 00314: val_loss did not improve from 0.36752\n",
            "Epoch 315/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3804 - mean_absolute_error: 0.4723 - weighted_mean_absolute_error: 0.5410 - val_loss: 0.3722 - val_mean_absolute_error: 0.4684 - val_weighted_mean_absolute_error: 0.5334\n",
            "\n",
            "Epoch 00315: val_loss did not improve from 0.36752\n",
            "Epoch 316/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3807 - mean_absolute_error: 0.4672 - weighted_mean_absolute_error: 0.5405 - val_loss: 0.3703 - val_mean_absolute_error: 0.4682 - val_weighted_mean_absolute_error: 0.5324\n",
            "\n",
            "Epoch 00316: val_loss did not improve from 0.36752\n",
            "Epoch 317/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3807 - mean_absolute_error: 0.4664 - weighted_mean_absolute_error: 0.5412 - val_loss: 0.3704 - val_mean_absolute_error: 0.4637 - val_weighted_mean_absolute_error: 0.5322\n",
            "\n",
            "Epoch 00317: val_loss did not improve from 0.36752\n",
            "Epoch 318/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3803 - mean_absolute_error: 0.4628 - weighted_mean_absolute_error: 0.5393 - val_loss: 0.3698 - val_mean_absolute_error: 0.4572 - val_weighted_mean_absolute_error: 0.5309\n",
            "\n",
            "Epoch 00318: val_loss did not improve from 0.36752\n",
            "Epoch 319/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3782 - mean_absolute_error: 0.4567 - weighted_mean_absolute_error: 0.5393 - val_loss: 0.3695 - val_mean_absolute_error: 0.4514 - val_weighted_mean_absolute_error: 0.5308\n",
            "\n",
            "Epoch 00319: val_loss did not improve from 0.36752\n",
            "Epoch 320/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3795 - mean_absolute_error: 0.4642 - weighted_mean_absolute_error: 0.5416 - val_loss: 0.3691 - val_mean_absolute_error: 0.4653 - val_weighted_mean_absolute_error: 0.5306\n",
            "\n",
            "Epoch 00320: val_loss did not improve from 0.36752\n",
            "Epoch 321/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3782 - mean_absolute_error: 0.4666 - weighted_mean_absolute_error: 0.5420 - val_loss: 0.3685 - val_mean_absolute_error: 0.4593 - val_weighted_mean_absolute_error: 0.5297\n",
            "\n",
            "Epoch 00321: val_loss did not improve from 0.36752\n",
            "Epoch 322/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3761 - mean_absolute_error: 0.4635 - weighted_mean_absolute_error: 0.5377 - val_loss: 0.3681 - val_mean_absolute_error: 0.4532 - val_weighted_mean_absolute_error: 0.5296\n",
            "\n",
            "Epoch 00322: val_loss did not improve from 0.36752\n",
            "Epoch 323/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3773 - mean_absolute_error: 0.4538 - weighted_mean_absolute_error: 0.5446 - val_loss: 0.3685 - val_mean_absolute_error: 0.4672 - val_weighted_mean_absolute_error: 0.5298\n",
            "\n",
            "Epoch 00323: val_loss did not improve from 0.36752\n",
            "Epoch 324/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3733 - mean_absolute_error: 0.4668 - weighted_mean_absolute_error: 0.5407 - val_loss: 0.3680 - val_mean_absolute_error: 0.4553 - val_weighted_mean_absolute_error: 0.5280\n",
            "\n",
            "Epoch 00324: val_loss did not improve from 0.36752\n",
            "Epoch 325/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3777 - mean_absolute_error: 0.4604 - weighted_mean_absolute_error: 0.5411 - val_loss: 0.3681 - val_mean_absolute_error: 0.4655 - val_weighted_mean_absolute_error: 0.5285\n",
            "\n",
            "Epoch 00325: val_loss did not improve from 0.36752\n",
            "Epoch 326/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3764 - mean_absolute_error: 0.4624 - weighted_mean_absolute_error: 0.5374 - val_loss: 0.3685 - val_mean_absolute_error: 0.4465 - val_weighted_mean_absolute_error: 0.5303\n",
            "\n",
            "Epoch 00326: val_loss did not improve from 0.36752\n",
            "Epoch 327/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3756 - mean_absolute_error: 0.4510 - weighted_mean_absolute_error: 0.5382 - val_loss: 0.3674 - val_mean_absolute_error: 0.4561 - val_weighted_mean_absolute_error: 0.5288\n",
            "\n",
            "Epoch 00327: val_loss improved from 0.36752 to 0.36737, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 328/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3753 - mean_absolute_error: 0.4573 - weighted_mean_absolute_error: 0.5400 - val_loss: 0.3682 - val_mean_absolute_error: 0.4485 - val_weighted_mean_absolute_error: 0.5295\n",
            "\n",
            "Epoch 00328: val_loss did not improve from 0.36737\n",
            "Epoch 329/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3785 - mean_absolute_error: 0.4542 - weighted_mean_absolute_error: 0.5375 - val_loss: 0.3669 - val_mean_absolute_error: 0.4607 - val_weighted_mean_absolute_error: 0.5278\n",
            "\n",
            "Epoch 00329: val_loss improved from 0.36737 to 0.36692, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 330/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3754 - mean_absolute_error: 0.4625 - weighted_mean_absolute_error: 0.5392 - val_loss: 0.3676 - val_mean_absolute_error: 0.4531 - val_weighted_mean_absolute_error: 0.5298\n",
            "\n",
            "Epoch 00330: val_loss did not improve from 0.36692\n",
            "Epoch 331/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3747 - mean_absolute_error: 0.4665 - weighted_mean_absolute_error: 0.5353 - val_loss: 0.3676 - val_mean_absolute_error: 0.4647 - val_weighted_mean_absolute_error: 0.5282\n",
            "\n",
            "Epoch 00331: val_loss did not improve from 0.36692\n",
            "Epoch 332/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3744 - mean_absolute_error: 0.4662 - weighted_mean_absolute_error: 0.5392 - val_loss: 0.3668 - val_mean_absolute_error: 0.4432 - val_weighted_mean_absolute_error: 0.5287\n",
            "\n",
            "Epoch 00332: val_loss improved from 0.36692 to 0.36675, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 333/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3784 - mean_absolute_error: 0.4550 - weighted_mean_absolute_error: 0.5371 - val_loss: 0.3665 - val_mean_absolute_error: 0.4563 - val_weighted_mean_absolute_error: 0.5275\n",
            "\n",
            "Epoch 00333: val_loss improved from 0.36675 to 0.36648, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 334/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3780 - mean_absolute_error: 0.4591 - weighted_mean_absolute_error: 0.5403 - val_loss: 0.3664 - val_mean_absolute_error: 0.4712 - val_weighted_mean_absolute_error: 0.5273\n",
            "\n",
            "Epoch 00334: val_loss improved from 0.36648 to 0.36639, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 335/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3771 - mean_absolute_error: 0.4727 - weighted_mean_absolute_error: 0.5384 - val_loss: 0.3667 - val_mean_absolute_error: 0.4699 - val_weighted_mean_absolute_error: 0.5277\n",
            "\n",
            "Epoch 00335: val_loss did not improve from 0.36639\n",
            "Epoch 336/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3759 - mean_absolute_error: 0.4685 - weighted_mean_absolute_error: 0.5362 - val_loss: 0.3682 - val_mean_absolute_error: 0.4724 - val_weighted_mean_absolute_error: 0.5301\n",
            "\n",
            "Epoch 00336: val_loss did not improve from 0.36639\n",
            "Epoch 337/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3766 - mean_absolute_error: 0.4770 - weighted_mean_absolute_error: 0.5396 - val_loss: 0.3670 - val_mean_absolute_error: 0.4688 - val_weighted_mean_absolute_error: 0.5283\n",
            "\n",
            "Epoch 00337: val_loss did not improve from 0.36639\n",
            "Epoch 338/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3739 - mean_absolute_error: 0.4737 - weighted_mean_absolute_error: 0.5365 - val_loss: 0.3672 - val_mean_absolute_error: 0.4687 - val_weighted_mean_absolute_error: 0.5276\n",
            "\n",
            "Epoch 00338: val_loss did not improve from 0.36639\n",
            "Epoch 339/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3738 - mean_absolute_error: 0.4666 - weighted_mean_absolute_error: 0.5357 - val_loss: 0.3654 - val_mean_absolute_error: 0.4603 - val_weighted_mean_absolute_error: 0.5268\n",
            "\n",
            "Epoch 00339: val_loss improved from 0.36639 to 0.36539, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 340/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3739 - mean_absolute_error: 0.4631 - weighted_mean_absolute_error: 0.5371 - val_loss: 0.3678 - val_mean_absolute_error: 0.4942 - val_weighted_mean_absolute_error: 0.5278\n",
            "\n",
            "Epoch 00340: val_loss did not improve from 0.36539\n",
            "Epoch 341/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3779 - mean_absolute_error: 0.4750 - weighted_mean_absolute_error: 0.5372 - val_loss: 0.3671 - val_mean_absolute_error: 0.4738 - val_weighted_mean_absolute_error: 0.5279\n",
            "\n",
            "Epoch 00341: val_loss did not improve from 0.36539\n",
            "Epoch 342/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3764 - mean_absolute_error: 0.4741 - weighted_mean_absolute_error: 0.5376 - val_loss: 0.3662 - val_mean_absolute_error: 0.4895 - val_weighted_mean_absolute_error: 0.5265\n",
            "\n",
            "Epoch 00342: val_loss did not improve from 0.36539\n",
            "Epoch 343/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3760 - mean_absolute_error: 0.4800 - weighted_mean_absolute_error: 0.5395 - val_loss: 0.3658 - val_mean_absolute_error: 0.4803 - val_weighted_mean_absolute_error: 0.5267\n",
            "\n",
            "Epoch 00343: val_loss did not improve from 0.36539\n",
            "Epoch 344/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3763 - mean_absolute_error: 0.4764 - weighted_mean_absolute_error: 0.5351 - val_loss: 0.3652 - val_mean_absolute_error: 0.4727 - val_weighted_mean_absolute_error: 0.5266\n",
            "\n",
            "Epoch 00344: val_loss improved from 0.36539 to 0.36525, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 345/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3768 - mean_absolute_error: 0.4747 - weighted_mean_absolute_error: 0.5357 - val_loss: 0.3659 - val_mean_absolute_error: 0.4696 - val_weighted_mean_absolute_error: 0.5276\n",
            "\n",
            "Epoch 00345: val_loss did not improve from 0.36525\n",
            "Epoch 346/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3720 - mean_absolute_error: 0.4734 - weighted_mean_absolute_error: 0.5371 - val_loss: 0.3661 - val_mean_absolute_error: 0.4689 - val_weighted_mean_absolute_error: 0.5281\n",
            "\n",
            "Epoch 00346: val_loss did not improve from 0.36525\n",
            "Epoch 347/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3741 - mean_absolute_error: 0.4706 - weighted_mean_absolute_error: 0.5372 - val_loss: 0.3676 - val_mean_absolute_error: 0.4645 - val_weighted_mean_absolute_error: 0.5304\n",
            "\n",
            "Epoch 00347: val_loss did not improve from 0.36525\n",
            "Epoch 348/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3774 - mean_absolute_error: 0.4760 - weighted_mean_absolute_error: 0.5377 - val_loss: 0.3653 - val_mean_absolute_error: 0.4776 - val_weighted_mean_absolute_error: 0.5275\n",
            "\n",
            "Epoch 00348: val_loss did not improve from 0.36525\n",
            "Epoch 349/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3749 - mean_absolute_error: 0.4766 - weighted_mean_absolute_error: 0.5352 - val_loss: 0.3653 - val_mean_absolute_error: 0.4702 - val_weighted_mean_absolute_error: 0.5259\n",
            "\n",
            "Epoch 00349: val_loss did not improve from 0.36525\n",
            "Epoch 350/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3768 - mean_absolute_error: 0.4746 - weighted_mean_absolute_error: 0.5373 - val_loss: 0.3660 - val_mean_absolute_error: 0.4747 - val_weighted_mean_absolute_error: 0.5263\n",
            "\n",
            "Epoch 00350: val_loss did not improve from 0.36525\n",
            "Epoch 351/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3756 - mean_absolute_error: 0.4753 - weighted_mean_absolute_error: 0.5370 - val_loss: 0.3650 - val_mean_absolute_error: 0.4645 - val_weighted_mean_absolute_error: 0.5264\n",
            "\n",
            "Epoch 00351: val_loss improved from 0.36525 to 0.36504, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 352/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3767 - mean_absolute_error: 0.4679 - weighted_mean_absolute_error: 0.5346 - val_loss: 0.3656 - val_mean_absolute_error: 0.4654 - val_weighted_mean_absolute_error: 0.5255\n",
            "\n",
            "Epoch 00352: val_loss did not improve from 0.36504\n",
            "Epoch 353/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3727 - mean_absolute_error: 0.4673 - weighted_mean_absolute_error: 0.5347 - val_loss: 0.3651 - val_mean_absolute_error: 0.4706 - val_weighted_mean_absolute_error: 0.5269\n",
            "\n",
            "Epoch 00353: val_loss did not improve from 0.36504\n",
            "Epoch 354/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3737 - mean_absolute_error: 0.4735 - weighted_mean_absolute_error: 0.5358 - val_loss: 0.3651 - val_mean_absolute_error: 0.4648 - val_weighted_mean_absolute_error: 0.5261\n",
            "\n",
            "Epoch 00354: val_loss did not improve from 0.36504\n",
            "Epoch 355/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3718 - mean_absolute_error: 0.4741 - weighted_mean_absolute_error: 0.5340 - val_loss: 0.3652 - val_mean_absolute_error: 0.4617 - val_weighted_mean_absolute_error: 0.5263\n",
            "\n",
            "Epoch 00355: val_loss did not improve from 0.36504\n",
            "Epoch 356/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3746 - mean_absolute_error: 0.4702 - weighted_mean_absolute_error: 0.5364 - val_loss: 0.3647 - val_mean_absolute_error: 0.4613 - val_weighted_mean_absolute_error: 0.5257\n",
            "\n",
            "Epoch 00356: val_loss improved from 0.36504 to 0.36473, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 357/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3750 - mean_absolute_error: 0.4666 - weighted_mean_absolute_error: 0.5361 - val_loss: 0.3655 - val_mean_absolute_error: 0.4657 - val_weighted_mean_absolute_error: 0.5274\n",
            "\n",
            "Epoch 00357: val_loss did not improve from 0.36473\n",
            "Epoch 358/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3757 - mean_absolute_error: 0.4702 - weighted_mean_absolute_error: 0.5374 - val_loss: 0.3646 - val_mean_absolute_error: 0.4816 - val_weighted_mean_absolute_error: 0.5254\n",
            "\n",
            "Epoch 00358: val_loss improved from 0.36473 to 0.36460, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 359/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3753 - mean_absolute_error: 0.4760 - weighted_mean_absolute_error: 0.5349 - val_loss: 0.3651 - val_mean_absolute_error: 0.4742 - val_weighted_mean_absolute_error: 0.5254\n",
            "\n",
            "Epoch 00359: val_loss did not improve from 0.36460\n",
            "Epoch 360/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3713 - mean_absolute_error: 0.4721 - weighted_mean_absolute_error: 0.5348 - val_loss: 0.3650 - val_mean_absolute_error: 0.4631 - val_weighted_mean_absolute_error: 0.5265\n",
            "\n",
            "Epoch 00360: val_loss did not improve from 0.36460\n",
            "Epoch 361/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3773 - mean_absolute_error: 0.4708 - weighted_mean_absolute_error: 0.5358 - val_loss: 0.3654 - val_mean_absolute_error: 0.4670 - val_weighted_mean_absolute_error: 0.5269\n",
            "\n",
            "Epoch 00361: val_loss did not improve from 0.36460\n",
            "Epoch 362/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3741 - mean_absolute_error: 0.4726 - weighted_mean_absolute_error: 0.5363 - val_loss: 0.3649 - val_mean_absolute_error: 0.4714 - val_weighted_mean_absolute_error: 0.5258\n",
            "\n",
            "Epoch 00362: val_loss did not improve from 0.36460\n",
            "Epoch 363/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3708 - mean_absolute_error: 0.4675 - weighted_mean_absolute_error: 0.5386 - val_loss: 0.3646 - val_mean_absolute_error: 0.4788 - val_weighted_mean_absolute_error: 0.5252\n",
            "\n",
            "Epoch 00363: val_loss improved from 0.36460 to 0.36459, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 364/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3741 - mean_absolute_error: 0.4729 - weighted_mean_absolute_error: 0.5381 - val_loss: 0.3644 - val_mean_absolute_error: 0.4808 - val_weighted_mean_absolute_error: 0.5253\n",
            "\n",
            "Epoch 00364: val_loss improved from 0.36459 to 0.36441, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 365/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3734 - mean_absolute_error: 0.4810 - weighted_mean_absolute_error: 0.5354 - val_loss: 0.3650 - val_mean_absolute_error: 0.4529 - val_weighted_mean_absolute_error: 0.5269\n",
            "\n",
            "Epoch 00365: val_loss did not improve from 0.36441\n",
            "Epoch 366/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3728 - mean_absolute_error: 0.4647 - weighted_mean_absolute_error: 0.5328 - val_loss: 0.3638 - val_mean_absolute_error: 0.4638 - val_weighted_mean_absolute_error: 0.5252\n",
            "\n",
            "Epoch 00366: val_loss improved from 0.36441 to 0.36378, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 367/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3727 - mean_absolute_error: 0.4724 - weighted_mean_absolute_error: 0.5347 - val_loss: 0.3647 - val_mean_absolute_error: 0.4814 - val_weighted_mean_absolute_error: 0.5253\n",
            "\n",
            "Epoch 00367: val_loss did not improve from 0.36378\n",
            "Epoch 368/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3754 - mean_absolute_error: 0.4698 - weighted_mean_absolute_error: 0.5361 - val_loss: 0.3647 - val_mean_absolute_error: 0.4603 - val_weighted_mean_absolute_error: 0.5263\n",
            "\n",
            "Epoch 00368: val_loss did not improve from 0.36378\n",
            "Epoch 369/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3725 - mean_absolute_error: 0.4589 - weighted_mean_absolute_error: 0.5361 - val_loss: 0.3644 - val_mean_absolute_error: 0.4566 - val_weighted_mean_absolute_error: 0.5267\n",
            "\n",
            "Epoch 00369: val_loss did not improve from 0.36378\n",
            "Epoch 370/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3728 - mean_absolute_error: 0.4678 - weighted_mean_absolute_error: 0.5350 - val_loss: 0.3647 - val_mean_absolute_error: 0.4657 - val_weighted_mean_absolute_error: 0.5261\n",
            "\n",
            "Epoch 00370: val_loss did not improve from 0.36378\n",
            "Epoch 371/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3727 - mean_absolute_error: 0.4634 - weighted_mean_absolute_error: 0.5344 - val_loss: 0.3640 - val_mean_absolute_error: 0.4655 - val_weighted_mean_absolute_error: 0.5254\n",
            "\n",
            "Epoch 00371: val_loss did not improve from 0.36378\n",
            "Epoch 372/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3728 - mean_absolute_error: 0.4626 - weighted_mean_absolute_error: 0.5361 - val_loss: 0.3633 - val_mean_absolute_error: 0.4696 - val_weighted_mean_absolute_error: 0.5241\n",
            "\n",
            "Epoch 00372: val_loss improved from 0.36378 to 0.36328, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 373/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3733 - mean_absolute_error: 0.4693 - weighted_mean_absolute_error: 0.5359 - val_loss: 0.3638 - val_mean_absolute_error: 0.4620 - val_weighted_mean_absolute_error: 0.5251\n",
            "\n",
            "Epoch 00373: val_loss did not improve from 0.36328\n",
            "Epoch 374/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3736 - mean_absolute_error: 0.4599 - weighted_mean_absolute_error: 0.5343 - val_loss: 0.3632 - val_mean_absolute_error: 0.4671 - val_weighted_mean_absolute_error: 0.5239\n",
            "\n",
            "Epoch 00374: val_loss improved from 0.36328 to 0.36322, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 375/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3721 - mean_absolute_error: 0.4683 - weighted_mean_absolute_error: 0.5349 - val_loss: 0.3642 - val_mean_absolute_error: 0.4592 - val_weighted_mean_absolute_error: 0.5252\n",
            "\n",
            "Epoch 00375: val_loss did not improve from 0.36322\n",
            "Epoch 376/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3736 - mean_absolute_error: 0.4616 - weighted_mean_absolute_error: 0.5364 - val_loss: 0.3632 - val_mean_absolute_error: 0.4774 - val_weighted_mean_absolute_error: 0.5237\n",
            "\n",
            "Epoch 00376: val_loss improved from 0.36322 to 0.36319, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 377/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3737 - mean_absolute_error: 0.4723 - weighted_mean_absolute_error: 0.5347 - val_loss: 0.3642 - val_mean_absolute_error: 0.4600 - val_weighted_mean_absolute_error: 0.5255\n",
            "\n",
            "Epoch 00377: val_loss did not improve from 0.36319\n",
            "Epoch 378/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3719 - mean_absolute_error: 0.4677 - weighted_mean_absolute_error: 0.5367 - val_loss: 0.3646 - val_mean_absolute_error: 0.4711 - val_weighted_mean_absolute_error: 0.5268\n",
            "\n",
            "Epoch 00378: val_loss did not improve from 0.36319\n",
            "Epoch 379/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3729 - mean_absolute_error: 0.4770 - weighted_mean_absolute_error: 0.5346 - val_loss: 0.3636 - val_mean_absolute_error: 0.4766 - val_weighted_mean_absolute_error: 0.5249\n",
            "\n",
            "Epoch 00379: val_loss did not improve from 0.36319\n",
            "Epoch 380/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3715 - mean_absolute_error: 0.4695 - weighted_mean_absolute_error: 0.5365 - val_loss: 0.3642 - val_mean_absolute_error: 0.4720 - val_weighted_mean_absolute_error: 0.5259\n",
            "\n",
            "Epoch 00380: val_loss did not improve from 0.36319\n",
            "Epoch 381/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3710 - mean_absolute_error: 0.4730 - weighted_mean_absolute_error: 0.5308 - val_loss: 0.3630 - val_mean_absolute_error: 0.4782 - val_weighted_mean_absolute_error: 0.5241\n",
            "\n",
            "Epoch 00381: val_loss improved from 0.36319 to 0.36296, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 382/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3736 - mean_absolute_error: 0.4731 - weighted_mean_absolute_error: 0.5362 - val_loss: 0.3648 - val_mean_absolute_error: 0.4814 - val_weighted_mean_absolute_error: 0.5260\n",
            "\n",
            "Epoch 00382: val_loss did not improve from 0.36296\n",
            "Epoch 383/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3733 - mean_absolute_error: 0.4790 - weighted_mean_absolute_error: 0.5338 - val_loss: 0.3642 - val_mean_absolute_error: 0.4828 - val_weighted_mean_absolute_error: 0.5244\n",
            "\n",
            "Epoch 00383: val_loss did not improve from 0.36296\n",
            "Epoch 384/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3717 - mean_absolute_error: 0.4699 - weighted_mean_absolute_error: 0.5357 - val_loss: 0.3639 - val_mean_absolute_error: 0.4596 - val_weighted_mean_absolute_error: 0.5248\n",
            "\n",
            "Epoch 00384: val_loss did not improve from 0.36296\n",
            "Epoch 385/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3707 - mean_absolute_error: 0.4655 - weighted_mean_absolute_error: 0.5353 - val_loss: 0.3638 - val_mean_absolute_error: 0.4646 - val_weighted_mean_absolute_error: 0.5250\n",
            "\n",
            "Epoch 00385: val_loss did not improve from 0.36296\n",
            "Epoch 386/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3742 - mean_absolute_error: 0.4644 - weighted_mean_absolute_error: 0.5374 - val_loss: 0.3630 - val_mean_absolute_error: 0.4697 - val_weighted_mean_absolute_error: 0.5244\n",
            "\n",
            "Epoch 00386: val_loss did not improve from 0.36296\n",
            "Epoch 387/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3699 - mean_absolute_error: 0.4656 - weighted_mean_absolute_error: 0.5340 - val_loss: 0.3645 - val_mean_absolute_error: 0.4736 - val_weighted_mean_absolute_error: 0.5258\n",
            "\n",
            "Epoch 00387: val_loss did not improve from 0.36296\n",
            "Epoch 388/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3701 - mean_absolute_error: 0.4662 - weighted_mean_absolute_error: 0.5357 - val_loss: 0.3631 - val_mean_absolute_error: 0.4549 - val_weighted_mean_absolute_error: 0.5244\n",
            "\n",
            "Epoch 00388: val_loss did not improve from 0.36296\n",
            "Epoch 389/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3743 - mean_absolute_error: 0.4645 - weighted_mean_absolute_error: 0.5341 - val_loss: 0.3638 - val_mean_absolute_error: 0.4643 - val_weighted_mean_absolute_error: 0.5246\n",
            "\n",
            "Epoch 00389: val_loss did not improve from 0.36296\n",
            "Epoch 390/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3727 - mean_absolute_error: 0.4699 - weighted_mean_absolute_error: 0.5337 - val_loss: 0.3629 - val_mean_absolute_error: 0.4754 - val_weighted_mean_absolute_error: 0.5243\n",
            "\n",
            "Epoch 00390: val_loss improved from 0.36296 to 0.36293, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 391/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3709 - mean_absolute_error: 0.4715 - weighted_mean_absolute_error: 0.5328 - val_loss: 0.3627 - val_mean_absolute_error: 0.4677 - val_weighted_mean_absolute_error: 0.5241\n",
            "\n",
            "Epoch 00391: val_loss improved from 0.36293 to 0.36272, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 392/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3717 - mean_absolute_error: 0.4689 - weighted_mean_absolute_error: 0.5325 - val_loss: 0.3637 - val_mean_absolute_error: 0.4819 - val_weighted_mean_absolute_error: 0.5245\n",
            "\n",
            "Epoch 00392: val_loss did not improve from 0.36272\n",
            "Epoch 393/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3729 - mean_absolute_error: 0.4700 - weighted_mean_absolute_error: 0.5353 - val_loss: 0.3623 - val_mean_absolute_error: 0.4754 - val_weighted_mean_absolute_error: 0.5240\n",
            "\n",
            "Epoch 00393: val_loss improved from 0.36272 to 0.36229, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 394/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3722 - mean_absolute_error: 0.4726 - weighted_mean_absolute_error: 0.5323 - val_loss: 0.3633 - val_mean_absolute_error: 0.4710 - val_weighted_mean_absolute_error: 0.5248\n",
            "\n",
            "Epoch 00394: val_loss did not improve from 0.36229\n",
            "Epoch 395/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3694 - mean_absolute_error: 0.4775 - weighted_mean_absolute_error: 0.5356 - val_loss: 0.3624 - val_mean_absolute_error: 0.4641 - val_weighted_mean_absolute_error: 0.5234\n",
            "\n",
            "Epoch 00395: val_loss did not improve from 0.36229\n",
            "Epoch 396/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3727 - mean_absolute_error: 0.4716 - weighted_mean_absolute_error: 0.5316 - val_loss: 0.3632 - val_mean_absolute_error: 0.4681 - val_weighted_mean_absolute_error: 0.5253\n",
            "\n",
            "Epoch 00396: val_loss did not improve from 0.36229\n",
            "Epoch 397/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3725 - mean_absolute_error: 0.4736 - weighted_mean_absolute_error: 0.5368 - val_loss: 0.3624 - val_mean_absolute_error: 0.4814 - val_weighted_mean_absolute_error: 0.5234\n",
            "\n",
            "Epoch 00397: val_loss did not improve from 0.36229\n",
            "Epoch 398/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3699 - mean_absolute_error: 0.4791 - weighted_mean_absolute_error: 0.5338 - val_loss: 0.3637 - val_mean_absolute_error: 0.4638 - val_weighted_mean_absolute_error: 0.5257\n",
            "\n",
            "Epoch 00398: val_loss did not improve from 0.36229\n",
            "Epoch 399/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3719 - mean_absolute_error: 0.4696 - weighted_mean_absolute_error: 0.5347 - val_loss: 0.3633 - val_mean_absolute_error: 0.4594 - val_weighted_mean_absolute_error: 0.5248\n",
            "\n",
            "Epoch 00399: val_loss did not improve from 0.36229\n",
            "Epoch 400/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3720 - mean_absolute_error: 0.4681 - weighted_mean_absolute_error: 0.5341 - val_loss: 0.3632 - val_mean_absolute_error: 0.4708 - val_weighted_mean_absolute_error: 0.5259\n",
            "\n",
            "Epoch 00400: val_loss did not improve from 0.36229\n",
            "Epoch 401/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3708 - mean_absolute_error: 0.4733 - weighted_mean_absolute_error: 0.5322 - val_loss: 0.3629 - val_mean_absolute_error: 0.4730 - val_weighted_mean_absolute_error: 0.5245\n",
            "\n",
            "Epoch 00401: val_loss did not improve from 0.36229\n",
            "Epoch 402/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3721 - mean_absolute_error: 0.4704 - weighted_mean_absolute_error: 0.5333 - val_loss: 0.3642 - val_mean_absolute_error: 0.4696 - val_weighted_mean_absolute_error: 0.5250\n",
            "\n",
            "Epoch 00402: val_loss did not improve from 0.36229\n",
            "Epoch 403/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3750 - mean_absolute_error: 0.4697 - weighted_mean_absolute_error: 0.5328 - val_loss: 0.3630 - val_mean_absolute_error: 0.4705 - val_weighted_mean_absolute_error: 0.5244\n",
            "\n",
            "Epoch 00403: val_loss did not improve from 0.36229\n",
            "Epoch 404/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3716 - mean_absolute_error: 0.4733 - weighted_mean_absolute_error: 0.5347 - val_loss: 0.3640 - val_mean_absolute_error: 0.4784 - val_weighted_mean_absolute_error: 0.5258\n",
            "\n",
            "Epoch 00404: val_loss did not improve from 0.36229\n",
            "Epoch 405/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3711 - mean_absolute_error: 0.4778 - weighted_mean_absolute_error: 0.5342 - val_loss: 0.3629 - val_mean_absolute_error: 0.4745 - val_weighted_mean_absolute_error: 0.5251\n",
            "\n",
            "Epoch 00405: val_loss did not improve from 0.36229\n",
            "Epoch 406/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3718 - mean_absolute_error: 0.4794 - weighted_mean_absolute_error: 0.5340 - val_loss: 0.3624 - val_mean_absolute_error: 0.4748 - val_weighted_mean_absolute_error: 0.5242\n",
            "\n",
            "Epoch 00406: val_loss did not improve from 0.36229\n",
            "Epoch 407/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3723 - mean_absolute_error: 0.4806 - weighted_mean_absolute_error: 0.5338 - val_loss: 0.3623 - val_mean_absolute_error: 0.4688 - val_weighted_mean_absolute_error: 0.5236\n",
            "\n",
            "Epoch 00407: val_loss did not improve from 0.36229\n",
            "Epoch 408/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3707 - mean_absolute_error: 0.4769 - weighted_mean_absolute_error: 0.5324 - val_loss: 0.3621 - val_mean_absolute_error: 0.4735 - val_weighted_mean_absolute_error: 0.5231\n",
            "\n",
            "Epoch 00408: val_loss improved from 0.36229 to 0.36211, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 409/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3721 - mean_absolute_error: 0.4749 - weighted_mean_absolute_error: 0.5314 - val_loss: 0.3628 - val_mean_absolute_error: 0.4810 - val_weighted_mean_absolute_error: 0.5243\n",
            "\n",
            "Epoch 00409: val_loss did not improve from 0.36211\n",
            "Epoch 410/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3720 - mean_absolute_error: 0.4802 - weighted_mean_absolute_error: 0.5350 - val_loss: 0.3623 - val_mean_absolute_error: 0.4973 - val_weighted_mean_absolute_error: 0.5230\n",
            "\n",
            "Epoch 00410: val_loss did not improve from 0.36211\n",
            "Epoch 411/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3738 - mean_absolute_error: 0.4905 - weighted_mean_absolute_error: 0.5342 - val_loss: 0.3621 - val_mean_absolute_error: 0.4776 - val_weighted_mean_absolute_error: 0.5234\n",
            "\n",
            "Epoch 00411: val_loss did not improve from 0.36211\n",
            "Epoch 412/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3713 - mean_absolute_error: 0.4830 - weighted_mean_absolute_error: 0.5368 - val_loss: 0.3620 - val_mean_absolute_error: 0.4956 - val_weighted_mean_absolute_error: 0.5235\n",
            "\n",
            "Epoch 00412: val_loss improved from 0.36211 to 0.36201, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 413/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3718 - mean_absolute_error: 0.4895 - weighted_mean_absolute_error: 0.5331 - val_loss: 0.3623 - val_mean_absolute_error: 0.4820 - val_weighted_mean_absolute_error: 0.5234\n",
            "\n",
            "Epoch 00413: val_loss did not improve from 0.36201\n",
            "Epoch 414/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3734 - mean_absolute_error: 0.4819 - weighted_mean_absolute_error: 0.5347 - val_loss: 0.3620 - val_mean_absolute_error: 0.4804 - val_weighted_mean_absolute_error: 0.5244\n",
            "\n",
            "Epoch 00414: val_loss did not improve from 0.36201\n",
            "Epoch 415/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3694 - mean_absolute_error: 0.4840 - weighted_mean_absolute_error: 0.5322 - val_loss: 0.3632 - val_mean_absolute_error: 0.4796 - val_weighted_mean_absolute_error: 0.5251\n",
            "\n",
            "Epoch 00415: val_loss did not improve from 0.36201\n",
            "Epoch 416/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3739 - mean_absolute_error: 0.4871 - weighted_mean_absolute_error: 0.5350 - val_loss: 0.3629 - val_mean_absolute_error: 0.4922 - val_weighted_mean_absolute_error: 0.5247\n",
            "\n",
            "Epoch 00416: val_loss did not improve from 0.36201\n",
            "Epoch 417/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3738 - mean_absolute_error: 0.4931 - weighted_mean_absolute_error: 0.5335 - val_loss: 0.3623 - val_mean_absolute_error: 0.4859 - val_weighted_mean_absolute_error: 0.5253\n",
            "\n",
            "Epoch 00417: val_loss did not improve from 0.36201\n",
            "Epoch 418/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3710 - mean_absolute_error: 0.4936 - weighted_mean_absolute_error: 0.5346 - val_loss: 0.3621 - val_mean_absolute_error: 0.4957 - val_weighted_mean_absolute_error: 0.5222\n",
            "\n",
            "Epoch 00418: val_loss did not improve from 0.36201\n",
            "Epoch 419/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3667 - mean_absolute_error: 0.4876 - weighted_mean_absolute_error: 0.5303 - val_loss: 0.3615 - val_mean_absolute_error: 0.4831 - val_weighted_mean_absolute_error: 0.5238\n",
            "\n",
            "Epoch 00419: val_loss improved from 0.36201 to 0.36147, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 420/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3671 - mean_absolute_error: 0.4888 - weighted_mean_absolute_error: 0.5330 - val_loss: 0.3620 - val_mean_absolute_error: 0.4814 - val_weighted_mean_absolute_error: 0.5235\n",
            "\n",
            "Epoch 00420: val_loss did not improve from 0.36147\n",
            "Epoch 421/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3710 - mean_absolute_error: 0.4887 - weighted_mean_absolute_error: 0.5331 - val_loss: 0.3618 - val_mean_absolute_error: 0.5064 - val_weighted_mean_absolute_error: 0.5219\n",
            "\n",
            "Epoch 00421: val_loss did not improve from 0.36147\n",
            "Epoch 422/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3697 - mean_absolute_error: 0.4992 - weighted_mean_absolute_error: 0.5323 - val_loss: 0.3606 - val_mean_absolute_error: 0.4901 - val_weighted_mean_absolute_error: 0.5221\n",
            "\n",
            "Epoch 00422: val_loss improved from 0.36147 to 0.36060, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 423/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3699 - mean_absolute_error: 0.4918 - weighted_mean_absolute_error: 0.5335 - val_loss: 0.3619 - val_mean_absolute_error: 0.4994 - val_weighted_mean_absolute_error: 0.5234\n",
            "\n",
            "Epoch 00423: val_loss did not improve from 0.36060\n",
            "Epoch 424/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3681 - mean_absolute_error: 0.4954 - weighted_mean_absolute_error: 0.5324 - val_loss: 0.3611 - val_mean_absolute_error: 0.4967 - val_weighted_mean_absolute_error: 0.5229\n",
            "\n",
            "Epoch 00424: val_loss did not improve from 0.36060\n",
            "Epoch 425/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3702 - mean_absolute_error: 0.4925 - weighted_mean_absolute_error: 0.5341 - val_loss: 0.3613 - val_mean_absolute_error: 0.5059 - val_weighted_mean_absolute_error: 0.5227\n",
            "\n",
            "Epoch 00425: val_loss did not improve from 0.36060\n",
            "Epoch 426/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3698 - mean_absolute_error: 0.5021 - weighted_mean_absolute_error: 0.5330 - val_loss: 0.3608 - val_mean_absolute_error: 0.4888 - val_weighted_mean_absolute_error: 0.5226\n",
            "\n",
            "Epoch 00426: val_loss did not improve from 0.36060\n",
            "Epoch 427/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3730 - mean_absolute_error: 0.4944 - weighted_mean_absolute_error: 0.5370 - val_loss: 0.3611 - val_mean_absolute_error: 0.5090 - val_weighted_mean_absolute_error: 0.5216\n",
            "\n",
            "Epoch 00427: val_loss did not improve from 0.36060\n",
            "Epoch 428/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3694 - mean_absolute_error: 0.5029 - weighted_mean_absolute_error: 0.5299 - val_loss: 0.3613 - val_mean_absolute_error: 0.4995 - val_weighted_mean_absolute_error: 0.5227\n",
            "\n",
            "Epoch 00428: val_loss did not improve from 0.36060\n",
            "Epoch 429/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3673 - mean_absolute_error: 0.4991 - weighted_mean_absolute_error: 0.5346 - val_loss: 0.3607 - val_mean_absolute_error: 0.4936 - val_weighted_mean_absolute_error: 0.5223\n",
            "\n",
            "Epoch 00429: val_loss did not improve from 0.36060\n",
            "Epoch 430/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3691 - mean_absolute_error: 0.4940 - weighted_mean_absolute_error: 0.5306 - val_loss: 0.3604 - val_mean_absolute_error: 0.4953 - val_weighted_mean_absolute_error: 0.5220\n",
            "\n",
            "Epoch 00430: val_loss improved from 0.36060 to 0.36044, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 431/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3696 - mean_absolute_error: 0.4960 - weighted_mean_absolute_error: 0.5322 - val_loss: 0.3611 - val_mean_absolute_error: 0.4945 - val_weighted_mean_absolute_error: 0.5223\n",
            "\n",
            "Epoch 00431: val_loss did not improve from 0.36044\n",
            "Epoch 432/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3703 - mean_absolute_error: 0.4952 - weighted_mean_absolute_error: 0.5349 - val_loss: 0.3610 - val_mean_absolute_error: 0.4939 - val_weighted_mean_absolute_error: 0.5226\n",
            "\n",
            "Epoch 00432: val_loss did not improve from 0.36044\n",
            "Epoch 433/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3687 - mean_absolute_error: 0.4966 - weighted_mean_absolute_error: 0.5317 - val_loss: 0.3615 - val_mean_absolute_error: 0.5066 - val_weighted_mean_absolute_error: 0.5229\n",
            "\n",
            "Epoch 00433: val_loss did not improve from 0.36044\n",
            "Epoch 434/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3709 - mean_absolute_error: 0.4992 - weighted_mean_absolute_error: 0.5338 - val_loss: 0.3605 - val_mean_absolute_error: 0.4927 - val_weighted_mean_absolute_error: 0.5220\n",
            "\n",
            "Epoch 00434: val_loss did not improve from 0.36044\n",
            "Epoch 435/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3690 - mean_absolute_error: 0.4933 - weighted_mean_absolute_error: 0.5322 - val_loss: 0.3621 - val_mean_absolute_error: 0.4874 - val_weighted_mean_absolute_error: 0.5241\n",
            "\n",
            "Epoch 00435: val_loss did not improve from 0.36044\n",
            "Epoch 436/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3699 - mean_absolute_error: 0.4900 - weighted_mean_absolute_error: 0.5290 - val_loss: 0.3611 - val_mean_absolute_error: 0.5006 - val_weighted_mean_absolute_error: 0.5234\n",
            "\n",
            "Epoch 00436: val_loss did not improve from 0.36044\n",
            "Epoch 437/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3695 - mean_absolute_error: 0.4979 - weighted_mean_absolute_error: 0.5318 - val_loss: 0.3605 - val_mean_absolute_error: 0.4969 - val_weighted_mean_absolute_error: 0.5219\n",
            "\n",
            "Epoch 00437: val_loss did not improve from 0.36044\n",
            "Epoch 438/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3690 - mean_absolute_error: 0.5011 - weighted_mean_absolute_error: 0.5346 - val_loss: 0.3611 - val_mean_absolute_error: 0.5103 - val_weighted_mean_absolute_error: 0.5221\n",
            "\n",
            "Epoch 00438: val_loss did not improve from 0.36044\n",
            "Epoch 439/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3728 - mean_absolute_error: 0.5044 - weighted_mean_absolute_error: 0.5326 - val_loss: 0.3607 - val_mean_absolute_error: 0.4975 - val_weighted_mean_absolute_error: 0.5222\n",
            "\n",
            "Epoch 00439: val_loss did not improve from 0.36044\n",
            "Epoch 440/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3711 - mean_absolute_error: 0.5039 - weighted_mean_absolute_error: 0.5321 - val_loss: 0.3610 - val_mean_absolute_error: 0.5052 - val_weighted_mean_absolute_error: 0.5225\n",
            "\n",
            "Epoch 00440: val_loss did not improve from 0.36044\n",
            "Epoch 441/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3702 - mean_absolute_error: 0.5019 - weighted_mean_absolute_error: 0.5304 - val_loss: 0.3608 - val_mean_absolute_error: 0.5010 - val_weighted_mean_absolute_error: 0.5226\n",
            "\n",
            "Epoch 00441: val_loss did not improve from 0.36044\n",
            "Epoch 442/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3676 - mean_absolute_error: 0.5033 - weighted_mean_absolute_error: 0.5323 - val_loss: 0.3607 - val_mean_absolute_error: 0.4951 - val_weighted_mean_absolute_error: 0.5219\n",
            "\n",
            "Epoch 00442: val_loss did not improve from 0.36044\n",
            "Epoch 443/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3719 - mean_absolute_error: 0.4987 - weighted_mean_absolute_error: 0.5328 - val_loss: 0.3602 - val_mean_absolute_error: 0.5081 - val_weighted_mean_absolute_error: 0.5219\n",
            "\n",
            "Epoch 00443: val_loss improved from 0.36044 to 0.36017, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 444/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3680 - mean_absolute_error: 0.5010 - weighted_mean_absolute_error: 0.5325 - val_loss: 0.3609 - val_mean_absolute_error: 0.4914 - val_weighted_mean_absolute_error: 0.5231\n",
            "\n",
            "Epoch 00444: val_loss did not improve from 0.36017\n",
            "Epoch 445/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3696 - mean_absolute_error: 0.4974 - weighted_mean_absolute_error: 0.5316 - val_loss: 0.3599 - val_mean_absolute_error: 0.5120 - val_weighted_mean_absolute_error: 0.5221\n",
            "\n",
            "Epoch 00445: val_loss improved from 0.36017 to 0.35990, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 446/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3684 - mean_absolute_error: 0.5062 - weighted_mean_absolute_error: 0.5332 - val_loss: 0.3602 - val_mean_absolute_error: 0.5037 - val_weighted_mean_absolute_error: 0.5230\n",
            "\n",
            "Epoch 00446: val_loss did not improve from 0.35990\n",
            "Epoch 447/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3702 - mean_absolute_error: 0.5039 - weighted_mean_absolute_error: 0.5335 - val_loss: 0.3602 - val_mean_absolute_error: 0.5034 - val_weighted_mean_absolute_error: 0.5214\n",
            "\n",
            "Epoch 00447: val_loss did not improve from 0.35990\n",
            "Epoch 448/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3705 - mean_absolute_error: 0.5022 - weighted_mean_absolute_error: 0.5315 - val_loss: 0.3615 - val_mean_absolute_error: 0.5020 - val_weighted_mean_absolute_error: 0.5223\n",
            "\n",
            "Epoch 00448: val_loss did not improve from 0.35990\n",
            "Epoch 449/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3672 - mean_absolute_error: 0.4951 - weighted_mean_absolute_error: 0.5325 - val_loss: 0.3599 - val_mean_absolute_error: 0.4967 - val_weighted_mean_absolute_error: 0.5211\n",
            "\n",
            "Epoch 00449: val_loss did not improve from 0.35990\n",
            "Epoch 450/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3687 - mean_absolute_error: 0.4974 - weighted_mean_absolute_error: 0.5323 - val_loss: 0.3597 - val_mean_absolute_error: 0.5070 - val_weighted_mean_absolute_error: 0.5199\n",
            "\n",
            "Epoch 00450: val_loss improved from 0.35990 to 0.35966, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 451/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3695 - mean_absolute_error: 0.5011 - weighted_mean_absolute_error: 0.5343 - val_loss: 0.3612 - val_mean_absolute_error: 0.5048 - val_weighted_mean_absolute_error: 0.5235\n",
            "\n",
            "Epoch 00451: val_loss did not improve from 0.35966\n",
            "Epoch 452/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3692 - mean_absolute_error: 0.5040 - weighted_mean_absolute_error: 0.5301 - val_loss: 0.3608 - val_mean_absolute_error: 0.5017 - val_weighted_mean_absolute_error: 0.5240\n",
            "\n",
            "Epoch 00452: val_loss did not improve from 0.35966\n",
            "Epoch 453/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3667 - mean_absolute_error: 0.5003 - weighted_mean_absolute_error: 0.5349 - val_loss: 0.3600 - val_mean_absolute_error: 0.5040 - val_weighted_mean_absolute_error: 0.5221\n",
            "\n",
            "Epoch 00453: val_loss did not improve from 0.35966\n",
            "Epoch 454/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3720 - mean_absolute_error: 0.5039 - weighted_mean_absolute_error: 0.5319 - val_loss: 0.3603 - val_mean_absolute_error: 0.5076 - val_weighted_mean_absolute_error: 0.5216\n",
            "\n",
            "Epoch 00454: val_loss did not improve from 0.35966\n",
            "Epoch 455/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3707 - mean_absolute_error: 0.4984 - weighted_mean_absolute_error: 0.5339 - val_loss: 0.3603 - val_mean_absolute_error: 0.5105 - val_weighted_mean_absolute_error: 0.5222\n",
            "\n",
            "Epoch 00455: val_loss did not improve from 0.35966\n",
            "Epoch 456/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3686 - mean_absolute_error: 0.5047 - weighted_mean_absolute_error: 0.5343 - val_loss: 0.3600 - val_mean_absolute_error: 0.5021 - val_weighted_mean_absolute_error: 0.5223\n",
            "\n",
            "Epoch 00456: val_loss did not improve from 0.35966\n",
            "Epoch 457/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3709 - mean_absolute_error: 0.5030 - weighted_mean_absolute_error: 0.5339 - val_loss: 0.3603 - val_mean_absolute_error: 0.5021 - val_weighted_mean_absolute_error: 0.5215\n",
            "\n",
            "Epoch 00457: val_loss did not improve from 0.35966\n",
            "Epoch 458/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3688 - mean_absolute_error: 0.4989 - weighted_mean_absolute_error: 0.5311 - val_loss: 0.3597 - val_mean_absolute_error: 0.5053 - val_weighted_mean_absolute_error: 0.5212\n",
            "\n",
            "Epoch 00458: val_loss did not improve from 0.35966\n",
            "Epoch 459/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3685 - mean_absolute_error: 0.5039 - weighted_mean_absolute_error: 0.5309 - val_loss: 0.3601 - val_mean_absolute_error: 0.4979 - val_weighted_mean_absolute_error: 0.5226\n",
            "\n",
            "Epoch 00459: val_loss did not improve from 0.35966\n",
            "Epoch 460/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3710 - mean_absolute_error: 0.4994 - weighted_mean_absolute_error: 0.5330 - val_loss: 0.3596 - val_mean_absolute_error: 0.5072 - val_weighted_mean_absolute_error: 0.5215\n",
            "\n",
            "Epoch 00460: val_loss improved from 0.35966 to 0.35962, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 461/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3690 - mean_absolute_error: 0.5089 - weighted_mean_absolute_error: 0.5318 - val_loss: 0.3610 - val_mean_absolute_error: 0.5120 - val_weighted_mean_absolute_error: 0.5233\n",
            "\n",
            "Epoch 00461: val_loss did not improve from 0.35962\n",
            "Epoch 462/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3698 - mean_absolute_error: 0.5116 - weighted_mean_absolute_error: 0.5335 - val_loss: 0.3595 - val_mean_absolute_error: 0.5063 - val_weighted_mean_absolute_error: 0.5210\n",
            "\n",
            "Epoch 00462: val_loss improved from 0.35962 to 0.35950, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 463/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3696 - mean_absolute_error: 0.5033 - weighted_mean_absolute_error: 0.5308 - val_loss: 0.3598 - val_mean_absolute_error: 0.5004 - val_weighted_mean_absolute_error: 0.5221\n",
            "\n",
            "Epoch 00463: val_loss did not improve from 0.35950\n",
            "Epoch 464/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3718 - mean_absolute_error: 0.5058 - weighted_mean_absolute_error: 0.5304 - val_loss: 0.3607 - val_mean_absolute_error: 0.5054 - val_weighted_mean_absolute_error: 0.5226\n",
            "\n",
            "Epoch 00464: val_loss did not improve from 0.35950\n",
            "Epoch 465/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3700 - mean_absolute_error: 0.5055 - weighted_mean_absolute_error: 0.5306 - val_loss: 0.3600 - val_mean_absolute_error: 0.5026 - val_weighted_mean_absolute_error: 0.5224\n",
            "\n",
            "Epoch 00465: val_loss did not improve from 0.35950\n",
            "Epoch 466/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3699 - mean_absolute_error: 0.5061 - weighted_mean_absolute_error: 0.5313 - val_loss: 0.3599 - val_mean_absolute_error: 0.4952 - val_weighted_mean_absolute_error: 0.5223\n",
            "\n",
            "Epoch 00466: val_loss did not improve from 0.35950\n",
            "Epoch 467/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3672 - mean_absolute_error: 0.5018 - weighted_mean_absolute_error: 0.5343 - val_loss: 0.3595 - val_mean_absolute_error: 0.5047 - val_weighted_mean_absolute_error: 0.5218\n",
            "\n",
            "Epoch 00467: val_loss improved from 0.35950 to 0.35949, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 468/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3697 - mean_absolute_error: 0.5027 - weighted_mean_absolute_error: 0.5316 - val_loss: 0.3590 - val_mean_absolute_error: 0.4998 - val_weighted_mean_absolute_error: 0.5210\n",
            "\n",
            "Epoch 00468: val_loss improved from 0.35949 to 0.35902, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 469/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3672 - mean_absolute_error: 0.5030 - weighted_mean_absolute_error: 0.5289 - val_loss: 0.3597 - val_mean_absolute_error: 0.4970 - val_weighted_mean_absolute_error: 0.5227\n",
            "\n",
            "Epoch 00469: val_loss did not improve from 0.35902\n",
            "Epoch 470/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3687 - mean_absolute_error: 0.5009 - weighted_mean_absolute_error: 0.5301 - val_loss: 0.3592 - val_mean_absolute_error: 0.4980 - val_weighted_mean_absolute_error: 0.5206\n",
            "\n",
            "Epoch 00470: val_loss did not improve from 0.35902\n",
            "Epoch 471/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3706 - mean_absolute_error: 0.4983 - weighted_mean_absolute_error: 0.5309 - val_loss: 0.3601 - val_mean_absolute_error: 0.4961 - val_weighted_mean_absolute_error: 0.5229\n",
            "\n",
            "Epoch 00471: val_loss did not improve from 0.35902\n",
            "Epoch 472/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3669 - mean_absolute_error: 0.5015 - weighted_mean_absolute_error: 0.5339 - val_loss: 0.3593 - val_mean_absolute_error: 0.5063 - val_weighted_mean_absolute_error: 0.5210\n",
            "\n",
            "Epoch 00472: val_loss did not improve from 0.35902\n",
            "Epoch 473/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3701 - mean_absolute_error: 0.5026 - weighted_mean_absolute_error: 0.5327 - val_loss: 0.3594 - val_mean_absolute_error: 0.5016 - val_weighted_mean_absolute_error: 0.5216\n",
            "\n",
            "Epoch 00473: val_loss did not improve from 0.35902\n",
            "Epoch 474/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3666 - mean_absolute_error: 0.5015 - weighted_mean_absolute_error: 0.5297 - val_loss: 0.3595 - val_mean_absolute_error: 0.5047 - val_weighted_mean_absolute_error: 0.5213\n",
            "\n",
            "Epoch 00474: val_loss did not improve from 0.35902\n",
            "Epoch 475/2000\n",
            "39/39 [==============================] - 18s 460ms/step - loss: 0.3697 - mean_absolute_error: 0.4991 - weighted_mean_absolute_error: 0.5280 - val_loss: 0.3586 - val_mean_absolute_error: 0.4961 - val_weighted_mean_absolute_error: 0.5207\n",
            "\n",
            "Epoch 00475: val_loss improved from 0.35902 to 0.35862, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 476/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3675 - mean_absolute_error: 0.4988 - weighted_mean_absolute_error: 0.5289 - val_loss: 0.3586 - val_mean_absolute_error: 0.4929 - val_weighted_mean_absolute_error: 0.5208\n",
            "\n",
            "Epoch 00476: val_loss improved from 0.35862 to 0.35855, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 477/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3697 - mean_absolute_error: 0.4933 - weighted_mean_absolute_error: 0.5315 - val_loss: 0.3597 - val_mean_absolute_error: 0.4942 - val_weighted_mean_absolute_error: 0.5222\n",
            "\n",
            "Epoch 00477: val_loss did not improve from 0.35855\n",
            "Epoch 478/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3649 - mean_absolute_error: 0.4955 - weighted_mean_absolute_error: 0.5338 - val_loss: 0.3589 - val_mean_absolute_error: 0.4859 - val_weighted_mean_absolute_error: 0.5217\n",
            "\n",
            "Epoch 00478: val_loss did not improve from 0.35855\n",
            "Epoch 479/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3690 - mean_absolute_error: 0.4927 - weighted_mean_absolute_error: 0.5309 - val_loss: 0.3600 - val_mean_absolute_error: 0.4957 - val_weighted_mean_absolute_error: 0.5233\n",
            "\n",
            "Epoch 00479: val_loss did not improve from 0.35855\n",
            "Epoch 480/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3686 - mean_absolute_error: 0.4972 - weighted_mean_absolute_error: 0.5319 - val_loss: 0.3590 - val_mean_absolute_error: 0.4930 - val_weighted_mean_absolute_error: 0.5211\n",
            "\n",
            "Epoch 00480: val_loss did not improve from 0.35855\n",
            "Epoch 481/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3675 - mean_absolute_error: 0.4940 - weighted_mean_absolute_error: 0.5306 - val_loss: 0.3593 - val_mean_absolute_error: 0.4912 - val_weighted_mean_absolute_error: 0.5216\n",
            "\n",
            "Epoch 00481: val_loss did not improve from 0.35855\n",
            "Epoch 482/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3674 - mean_absolute_error: 0.4929 - weighted_mean_absolute_error: 0.5308 - val_loss: 0.3607 - val_mean_absolute_error: 0.4825 - val_weighted_mean_absolute_error: 0.5217\n",
            "\n",
            "Epoch 00482: val_loss did not improve from 0.35855\n",
            "Epoch 483/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3654 - mean_absolute_error: 0.4901 - weighted_mean_absolute_error: 0.5292 - val_loss: 0.3587 - val_mean_absolute_error: 0.4945 - val_weighted_mean_absolute_error: 0.5208\n",
            "\n",
            "Epoch 00483: val_loss did not improve from 0.35855\n",
            "Epoch 484/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3661 - mean_absolute_error: 0.4982 - weighted_mean_absolute_error: 0.5352 - val_loss: 0.3585 - val_mean_absolute_error: 0.4914 - val_weighted_mean_absolute_error: 0.5204\n",
            "\n",
            "Epoch 00484: val_loss improved from 0.35855 to 0.35853, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 485/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3664 - mean_absolute_error: 0.4948 - weighted_mean_absolute_error: 0.5310 - val_loss: 0.3589 - val_mean_absolute_error: 0.4944 - val_weighted_mean_absolute_error: 0.5211\n",
            "\n",
            "Epoch 00485: val_loss did not improve from 0.35853\n",
            "Epoch 486/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3692 - mean_absolute_error: 0.4938 - weighted_mean_absolute_error: 0.5328 - val_loss: 0.3601 - val_mean_absolute_error: 0.4919 - val_weighted_mean_absolute_error: 0.5227\n",
            "\n",
            "Epoch 00486: val_loss did not improve from 0.35853\n",
            "Epoch 487/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3690 - mean_absolute_error: 0.4931 - weighted_mean_absolute_error: 0.5342 - val_loss: 0.3587 - val_mean_absolute_error: 0.4910 - val_weighted_mean_absolute_error: 0.5209\n",
            "\n",
            "Epoch 00487: val_loss did not improve from 0.35853\n",
            "Epoch 488/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3691 - mean_absolute_error: 0.4892 - weighted_mean_absolute_error: 0.5299 - val_loss: 0.3585 - val_mean_absolute_error: 0.4783 - val_weighted_mean_absolute_error: 0.5203\n",
            "\n",
            "Epoch 00488: val_loss did not improve from 0.35853\n",
            "Epoch 489/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3666 - mean_absolute_error: 0.4881 - weighted_mean_absolute_error: 0.5305 - val_loss: 0.3591 - val_mean_absolute_error: 0.4959 - val_weighted_mean_absolute_error: 0.5212\n",
            "\n",
            "Epoch 00489: val_loss did not improve from 0.35853\n",
            "Epoch 490/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3670 - mean_absolute_error: 0.4891 - weighted_mean_absolute_error: 0.5295 - val_loss: 0.3585 - val_mean_absolute_error: 0.4908 - val_weighted_mean_absolute_error: 0.5218\n",
            "\n",
            "Epoch 00490: val_loss improved from 0.35853 to 0.35853, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 491/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3685 - mean_absolute_error: 0.4905 - weighted_mean_absolute_error: 0.5306 - val_loss: 0.3579 - val_mean_absolute_error: 0.4820 - val_weighted_mean_absolute_error: 0.5207\n",
            "\n",
            "Epoch 00491: val_loss improved from 0.35853 to 0.35794, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 492/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3663 - mean_absolute_error: 0.4902 - weighted_mean_absolute_error: 0.5326 - val_loss: 0.3602 - val_mean_absolute_error: 0.4818 - val_weighted_mean_absolute_error: 0.5231\n",
            "\n",
            "Epoch 00492: val_loss did not improve from 0.35794\n",
            "Epoch 493/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3679 - mean_absolute_error: 0.4884 - weighted_mean_absolute_error: 0.5316 - val_loss: 0.3586 - val_mean_absolute_error: 0.4843 - val_weighted_mean_absolute_error: 0.5211\n",
            "\n",
            "Epoch 00493: val_loss did not improve from 0.35794\n",
            "Epoch 494/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3682 - mean_absolute_error: 0.4892 - weighted_mean_absolute_error: 0.5292 - val_loss: 0.3579 - val_mean_absolute_error: 0.4872 - val_weighted_mean_absolute_error: 0.5207\n",
            "\n",
            "Epoch 00494: val_loss did not improve from 0.35794\n",
            "Epoch 495/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3653 - mean_absolute_error: 0.4883 - weighted_mean_absolute_error: 0.5279 - val_loss: 0.3580 - val_mean_absolute_error: 0.4831 - val_weighted_mean_absolute_error: 0.5207\n",
            "\n",
            "Epoch 00495: val_loss did not improve from 0.35794\n",
            "Epoch 496/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3675 - mean_absolute_error: 0.4878 - weighted_mean_absolute_error: 0.5313 - val_loss: 0.3578 - val_mean_absolute_error: 0.4868 - val_weighted_mean_absolute_error: 0.5208\n",
            "\n",
            "Epoch 00496: val_loss improved from 0.35794 to 0.35782, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 497/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3702 - mean_absolute_error: 0.4896 - weighted_mean_absolute_error: 0.5318 - val_loss: 0.3587 - val_mean_absolute_error: 0.4830 - val_weighted_mean_absolute_error: 0.5214\n",
            "\n",
            "Epoch 00497: val_loss did not improve from 0.35782\n",
            "Epoch 498/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3701 - mean_absolute_error: 0.4863 - weighted_mean_absolute_error: 0.5306 - val_loss: 0.3590 - val_mean_absolute_error: 0.4752 - val_weighted_mean_absolute_error: 0.5226\n",
            "\n",
            "Epoch 00498: val_loss did not improve from 0.35782\n",
            "Epoch 499/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3654 - mean_absolute_error: 0.4820 - weighted_mean_absolute_error: 0.5292 - val_loss: 0.3587 - val_mean_absolute_error: 0.4851 - val_weighted_mean_absolute_error: 0.5215\n",
            "\n",
            "Epoch 00499: val_loss did not improve from 0.35782\n",
            "Epoch 500/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3696 - mean_absolute_error: 0.4851 - weighted_mean_absolute_error: 0.5316 - val_loss: 0.3572 - val_mean_absolute_error: 0.4805 - val_weighted_mean_absolute_error: 0.5194\n",
            "\n",
            "Epoch 00500: val_loss improved from 0.35782 to 0.35721, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 501/2000\n",
            "39/39 [==============================] - 18s 460ms/step - loss: 0.3673 - mean_absolute_error: 0.4861 - weighted_mean_absolute_error: 0.5332 - val_loss: 0.3594 - val_mean_absolute_error: 0.4868 - val_weighted_mean_absolute_error: 0.5227\n",
            "\n",
            "Epoch 00501: val_loss did not improve from 0.35721\n",
            "Epoch 502/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3687 - mean_absolute_error: 0.4876 - weighted_mean_absolute_error: 0.5317 - val_loss: 0.3594 - val_mean_absolute_error: 0.4846 - val_weighted_mean_absolute_error: 0.5211\n",
            "\n",
            "Epoch 00502: val_loss did not improve from 0.35721\n",
            "Epoch 503/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3660 - mean_absolute_error: 0.4856 - weighted_mean_absolute_error: 0.5312 - val_loss: 0.3583 - val_mean_absolute_error: 0.4851 - val_weighted_mean_absolute_error: 0.5196\n",
            "\n",
            "Epoch 00503: val_loss did not improve from 0.35721\n",
            "Epoch 504/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3676 - mean_absolute_error: 0.4817 - weighted_mean_absolute_error: 0.5298 - val_loss: 0.3575 - val_mean_absolute_error: 0.4838 - val_weighted_mean_absolute_error: 0.5195\n",
            "\n",
            "Epoch 00504: val_loss did not improve from 0.35721\n",
            "Epoch 505/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3667 - mean_absolute_error: 0.4821 - weighted_mean_absolute_error: 0.5317 - val_loss: 0.3579 - val_mean_absolute_error: 0.4859 - val_weighted_mean_absolute_error: 0.5202\n",
            "\n",
            "Epoch 00505: val_loss did not improve from 0.35721\n",
            "Epoch 506/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3654 - mean_absolute_error: 0.4843 - weighted_mean_absolute_error: 0.5302 - val_loss: 0.3578 - val_mean_absolute_error: 0.4867 - val_weighted_mean_absolute_error: 0.5196\n",
            "\n",
            "Epoch 00506: val_loss did not improve from 0.35721\n",
            "Epoch 507/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3690 - mean_absolute_error: 0.4825 - weighted_mean_absolute_error: 0.5297 - val_loss: 0.3581 - val_mean_absolute_error: 0.4863 - val_weighted_mean_absolute_error: 0.5206\n",
            "\n",
            "Epoch 00507: val_loss did not improve from 0.35721\n",
            "Epoch 508/2000\n",
            "39/39 [==============================] - 18s 460ms/step - loss: 0.3678 - mean_absolute_error: 0.4771 - weighted_mean_absolute_error: 0.5289 - val_loss: 0.3577 - val_mean_absolute_error: 0.4859 - val_weighted_mean_absolute_error: 0.5200\n",
            "\n",
            "Epoch 00508: val_loss did not improve from 0.35721\n",
            "Epoch 509/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3649 - mean_absolute_error: 0.4782 - weighted_mean_absolute_error: 0.5276 - val_loss: 0.3579 - val_mean_absolute_error: 0.4747 - val_weighted_mean_absolute_error: 0.5218\n",
            "\n",
            "Epoch 00509: val_loss did not improve from 0.35721\n",
            "Epoch 510/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3664 - mean_absolute_error: 0.4790 - weighted_mean_absolute_error: 0.5313 - val_loss: 0.3585 - val_mean_absolute_error: 0.4755 - val_weighted_mean_absolute_error: 0.5221\n",
            "\n",
            "Epoch 00510: val_loss did not improve from 0.35721\n",
            "Epoch 511/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3670 - mean_absolute_error: 0.4834 - weighted_mean_absolute_error: 0.5322 - val_loss: 0.3582 - val_mean_absolute_error: 0.4933 - val_weighted_mean_absolute_error: 0.5204\n",
            "\n",
            "Epoch 00511: val_loss did not improve from 0.35721\n",
            "Epoch 512/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3656 - mean_absolute_error: 0.4824 - weighted_mean_absolute_error: 0.5289 - val_loss: 0.3587 - val_mean_absolute_error: 0.4772 - val_weighted_mean_absolute_error: 0.5225\n",
            "\n",
            "Epoch 00512: val_loss did not improve from 0.35721\n",
            "Epoch 513/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3677 - mean_absolute_error: 0.4771 - weighted_mean_absolute_error: 0.5324 - val_loss: 0.3578 - val_mean_absolute_error: 0.4738 - val_weighted_mean_absolute_error: 0.5203\n",
            "\n",
            "Epoch 00513: val_loss did not improve from 0.35721\n",
            "Epoch 514/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3659 - mean_absolute_error: 0.4703 - weighted_mean_absolute_error: 0.5305 - val_loss: 0.3580 - val_mean_absolute_error: 0.4796 - val_weighted_mean_absolute_error: 0.5205\n",
            "\n",
            "Epoch 00514: val_loss did not improve from 0.35721\n",
            "Epoch 515/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3667 - mean_absolute_error: 0.4724 - weighted_mean_absolute_error: 0.5273 - val_loss: 0.3577 - val_mean_absolute_error: 0.4732 - val_weighted_mean_absolute_error: 0.5204\n",
            "\n",
            "Epoch 00515: val_loss did not improve from 0.35721\n",
            "Epoch 516/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3689 - mean_absolute_error: 0.4717 - weighted_mean_absolute_error: 0.5278 - val_loss: 0.3593 - val_mean_absolute_error: 0.4788 - val_weighted_mean_absolute_error: 0.5219\n",
            "\n",
            "Epoch 00516: val_loss did not improve from 0.35721\n",
            "Epoch 517/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3660 - mean_absolute_error: 0.4765 - weighted_mean_absolute_error: 0.5280 - val_loss: 0.3577 - val_mean_absolute_error: 0.4785 - val_weighted_mean_absolute_error: 0.5208\n",
            "\n",
            "Epoch 00517: val_loss did not improve from 0.35721\n",
            "Epoch 518/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3677 - mean_absolute_error: 0.4772 - weighted_mean_absolute_error: 0.5298 - val_loss: 0.3579 - val_mean_absolute_error: 0.4769 - val_weighted_mean_absolute_error: 0.5199\n",
            "\n",
            "Epoch 00518: val_loss did not improve from 0.35721\n",
            "Epoch 519/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3675 - mean_absolute_error: 0.4730 - weighted_mean_absolute_error: 0.5314 - val_loss: 0.3579 - val_mean_absolute_error: 0.4773 - val_weighted_mean_absolute_error: 0.5206\n",
            "\n",
            "Epoch 00519: val_loss did not improve from 0.35721\n",
            "Epoch 520/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3673 - mean_absolute_error: 0.4742 - weighted_mean_absolute_error: 0.5311 - val_loss: 0.3584 - val_mean_absolute_error: 0.4718 - val_weighted_mean_absolute_error: 0.5204\n",
            "\n",
            "Epoch 00520: val_loss did not improve from 0.35721\n",
            "Epoch 521/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3654 - mean_absolute_error: 0.4694 - weighted_mean_absolute_error: 0.5305 - val_loss: 0.3575 - val_mean_absolute_error: 0.4795 - val_weighted_mean_absolute_error: 0.5202\n",
            "\n",
            "Epoch 00521: val_loss did not improve from 0.35721\n",
            "Epoch 522/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3661 - mean_absolute_error: 0.4739 - weighted_mean_absolute_error: 0.5317 - val_loss: 0.3571 - val_mean_absolute_error: 0.4719 - val_weighted_mean_absolute_error: 0.5197\n",
            "\n",
            "Epoch 00522: val_loss improved from 0.35721 to 0.35707, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 523/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3664 - mean_absolute_error: 0.4792 - weighted_mean_absolute_error: 0.5292 - val_loss: 0.3572 - val_mean_absolute_error: 0.4695 - val_weighted_mean_absolute_error: 0.5206\n",
            "\n",
            "Epoch 00523: val_loss did not improve from 0.35707\n",
            "Epoch 524/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3621 - mean_absolute_error: 0.4745 - weighted_mean_absolute_error: 0.5304 - val_loss: 0.3566 - val_mean_absolute_error: 0.4741 - val_weighted_mean_absolute_error: 0.5197\n",
            "\n",
            "Epoch 00524: val_loss improved from 0.35707 to 0.35662, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 525/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3657 - mean_absolute_error: 0.4763 - weighted_mean_absolute_error: 0.5300 - val_loss: 0.3564 - val_mean_absolute_error: 0.4791 - val_weighted_mean_absolute_error: 0.5193\n",
            "\n",
            "Epoch 00525: val_loss improved from 0.35662 to 0.35643, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 526/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3661 - mean_absolute_error: 0.4762 - weighted_mean_absolute_error: 0.5271 - val_loss: 0.3592 - val_mean_absolute_error: 0.4870 - val_weighted_mean_absolute_error: 0.5221\n",
            "\n",
            "Epoch 00526: val_loss did not improve from 0.35643\n",
            "Epoch 527/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3675 - mean_absolute_error: 0.4828 - weighted_mean_absolute_error: 0.5283 - val_loss: 0.3565 - val_mean_absolute_error: 0.4730 - val_weighted_mean_absolute_error: 0.5199\n",
            "\n",
            "Epoch 00527: val_loss did not improve from 0.35643\n",
            "Epoch 528/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3636 - mean_absolute_error: 0.4759 - weighted_mean_absolute_error: 0.5275 - val_loss: 0.3576 - val_mean_absolute_error: 0.4777 - val_weighted_mean_absolute_error: 0.5202\n",
            "\n",
            "Epoch 00528: val_loss did not improve from 0.35643\n",
            "Epoch 529/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3676 - mean_absolute_error: 0.4755 - weighted_mean_absolute_error: 0.5312 - val_loss: 0.3571 - val_mean_absolute_error: 0.4815 - val_weighted_mean_absolute_error: 0.5195\n",
            "\n",
            "Epoch 00529: val_loss did not improve from 0.35643\n",
            "Epoch 530/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3673 - mean_absolute_error: 0.4761 - weighted_mean_absolute_error: 0.5305 - val_loss: 0.3570 - val_mean_absolute_error: 0.4712 - val_weighted_mean_absolute_error: 0.5202\n",
            "\n",
            "Epoch 00530: val_loss did not improve from 0.35643\n",
            "Epoch 531/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3672 - mean_absolute_error: 0.4739 - weighted_mean_absolute_error: 0.5287 - val_loss: 0.3573 - val_mean_absolute_error: 0.4880 - val_weighted_mean_absolute_error: 0.5206\n",
            "\n",
            "Epoch 00531: val_loss did not improve from 0.35643\n",
            "Epoch 532/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3650 - mean_absolute_error: 0.4793 - weighted_mean_absolute_error: 0.5285 - val_loss: 0.3568 - val_mean_absolute_error: 0.4751 - val_weighted_mean_absolute_error: 0.5196\n",
            "\n",
            "Epoch 00532: val_loss did not improve from 0.35643\n",
            "Epoch 533/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3674 - mean_absolute_error: 0.4789 - weighted_mean_absolute_error: 0.5306 - val_loss: 0.3566 - val_mean_absolute_error: 0.4823 - val_weighted_mean_absolute_error: 0.5191\n",
            "\n",
            "Epoch 00533: val_loss did not improve from 0.35643\n",
            "Epoch 534/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3652 - mean_absolute_error: 0.4821 - weighted_mean_absolute_error: 0.5299 - val_loss: 0.3579 - val_mean_absolute_error: 0.4814 - val_weighted_mean_absolute_error: 0.5195\n",
            "\n",
            "Epoch 00534: val_loss did not improve from 0.35643\n",
            "Epoch 535/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3666 - mean_absolute_error: 0.4791 - weighted_mean_absolute_error: 0.5339 - val_loss: 0.3574 - val_mean_absolute_error: 0.4751 - val_weighted_mean_absolute_error: 0.5205\n",
            "\n",
            "Epoch 00535: val_loss did not improve from 0.35643\n",
            "Epoch 536/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3668 - mean_absolute_error: 0.4766 - weighted_mean_absolute_error: 0.5301 - val_loss: 0.3579 - val_mean_absolute_error: 0.4827 - val_weighted_mean_absolute_error: 0.5192\n",
            "\n",
            "Epoch 00536: val_loss did not improve from 0.35643\n",
            "Epoch 537/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3630 - mean_absolute_error: 0.4775 - weighted_mean_absolute_error: 0.5309 - val_loss: 0.3574 - val_mean_absolute_error: 0.4743 - val_weighted_mean_absolute_error: 0.5200\n",
            "\n",
            "Epoch 00537: val_loss did not improve from 0.35643\n",
            "Epoch 538/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3659 - mean_absolute_error: 0.4788 - weighted_mean_absolute_error: 0.5258 - val_loss: 0.3568 - val_mean_absolute_error: 0.4726 - val_weighted_mean_absolute_error: 0.5198\n",
            "\n",
            "Epoch 00538: val_loss did not improve from 0.35643\n",
            "Epoch 539/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3628 - mean_absolute_error: 0.4772 - weighted_mean_absolute_error: 0.5265 - val_loss: 0.3566 - val_mean_absolute_error: 0.4810 - val_weighted_mean_absolute_error: 0.5189\n",
            "\n",
            "Epoch 00539: val_loss did not improve from 0.35643\n",
            "Epoch 540/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3637 - mean_absolute_error: 0.4775 - weighted_mean_absolute_error: 0.5271 - val_loss: 0.3571 - val_mean_absolute_error: 0.4742 - val_weighted_mean_absolute_error: 0.5202\n",
            "\n",
            "Epoch 00540: val_loss did not improve from 0.35643\n",
            "Epoch 541/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3678 - mean_absolute_error: 0.4763 - weighted_mean_absolute_error: 0.5308 - val_loss: 0.3566 - val_mean_absolute_error: 0.4647 - val_weighted_mean_absolute_error: 0.5198\n",
            "\n",
            "Epoch 00541: val_loss did not improve from 0.35643\n",
            "Epoch 542/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3673 - mean_absolute_error: 0.4741 - weighted_mean_absolute_error: 0.5276 - val_loss: 0.3566 - val_mean_absolute_error: 0.4740 - val_weighted_mean_absolute_error: 0.5186\n",
            "\n",
            "Epoch 00542: val_loss did not improve from 0.35643\n",
            "Epoch 543/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3633 - mean_absolute_error: 0.4770 - weighted_mean_absolute_error: 0.5312 - val_loss: 0.3563 - val_mean_absolute_error: 0.4636 - val_weighted_mean_absolute_error: 0.5189\n",
            "\n",
            "Epoch 00543: val_loss improved from 0.35643 to 0.35635, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 544/2000\n",
            "39/39 [==============================] - 18s 457ms/step - loss: 0.3671 - mean_absolute_error: 0.4739 - weighted_mean_absolute_error: 0.5286 - val_loss: 0.3560 - val_mean_absolute_error: 0.4651 - val_weighted_mean_absolute_error: 0.5188\n",
            "\n",
            "Epoch 00544: val_loss improved from 0.35635 to 0.35601, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 545/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3638 - mean_absolute_error: 0.4752 - weighted_mean_absolute_error: 0.5251 - val_loss: 0.3582 - val_mean_absolute_error: 0.4889 - val_weighted_mean_absolute_error: 0.5208\n",
            "\n",
            "Epoch 00545: val_loss did not improve from 0.35601\n",
            "Epoch 546/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3653 - mean_absolute_error: 0.4748 - weighted_mean_absolute_error: 0.5319 - val_loss: 0.3564 - val_mean_absolute_error: 0.4763 - val_weighted_mean_absolute_error: 0.5200\n",
            "\n",
            "Epoch 00546: val_loss did not improve from 0.35601\n",
            "Epoch 547/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3653 - mean_absolute_error: 0.4782 - weighted_mean_absolute_error: 0.5298 - val_loss: 0.3586 - val_mean_absolute_error: 0.4728 - val_weighted_mean_absolute_error: 0.5222\n",
            "\n",
            "Epoch 00547: val_loss did not improve from 0.35601\n",
            "Epoch 548/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3648 - mean_absolute_error: 0.4697 - weighted_mean_absolute_error: 0.5333 - val_loss: 0.3577 - val_mean_absolute_error: 0.4651 - val_weighted_mean_absolute_error: 0.5219\n",
            "\n",
            "Epoch 00548: val_loss did not improve from 0.35601\n",
            "Epoch 549/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3652 - mean_absolute_error: 0.4709 - weighted_mean_absolute_error: 0.5313 - val_loss: 0.3558 - val_mean_absolute_error: 0.4710 - val_weighted_mean_absolute_error: 0.5195\n",
            "\n",
            "Epoch 00549: val_loss improved from 0.35601 to 0.35582, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 550/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3657 - mean_absolute_error: 0.4681 - weighted_mean_absolute_error: 0.5311 - val_loss: 0.3564 - val_mean_absolute_error: 0.4631 - val_weighted_mean_absolute_error: 0.5193\n",
            "\n",
            "Epoch 00550: val_loss did not improve from 0.35582\n",
            "Epoch 551/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3640 - mean_absolute_error: 0.4750 - weighted_mean_absolute_error: 0.5287 - val_loss: 0.3559 - val_mean_absolute_error: 0.4763 - val_weighted_mean_absolute_error: 0.5188\n",
            "\n",
            "Epoch 00551: val_loss did not improve from 0.35582\n",
            "Epoch 552/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3669 - mean_absolute_error: 0.4751 - weighted_mean_absolute_error: 0.5256 - val_loss: 0.3559 - val_mean_absolute_error: 0.4556 - val_weighted_mean_absolute_error: 0.5192\n",
            "\n",
            "Epoch 00552: val_loss did not improve from 0.35582\n",
            "Epoch 553/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3625 - mean_absolute_error: 0.4661 - weighted_mean_absolute_error: 0.5298 - val_loss: 0.3571 - val_mean_absolute_error: 0.4560 - val_weighted_mean_absolute_error: 0.5220\n",
            "\n",
            "Epoch 00553: val_loss did not improve from 0.35582\n",
            "Epoch 554/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3645 - mean_absolute_error: 0.4651 - weighted_mean_absolute_error: 0.5299 - val_loss: 0.3564 - val_mean_absolute_error: 0.4617 - val_weighted_mean_absolute_error: 0.5190\n",
            "\n",
            "Epoch 00554: val_loss did not improve from 0.35582\n",
            "Epoch 555/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3655 - mean_absolute_error: 0.4624 - weighted_mean_absolute_error: 0.5256 - val_loss: 0.3561 - val_mean_absolute_error: 0.4632 - val_weighted_mean_absolute_error: 0.5190\n",
            "\n",
            "Epoch 00555: val_loss did not improve from 0.35582\n",
            "Epoch 556/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3657 - mean_absolute_error: 0.4667 - weighted_mean_absolute_error: 0.5287 - val_loss: 0.3560 - val_mean_absolute_error: 0.4516 - val_weighted_mean_absolute_error: 0.5195\n",
            "\n",
            "Epoch 00556: val_loss did not improve from 0.35582\n",
            "Epoch 557/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3640 - mean_absolute_error: 0.4608 - weighted_mean_absolute_error: 0.5261 - val_loss: 0.3560 - val_mean_absolute_error: 0.4686 - val_weighted_mean_absolute_error: 0.5190\n",
            "\n",
            "Epoch 00557: val_loss did not improve from 0.35582\n",
            "Epoch 558/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3635 - mean_absolute_error: 0.4632 - weighted_mean_absolute_error: 0.5270 - val_loss: 0.3558 - val_mean_absolute_error: 0.4694 - val_weighted_mean_absolute_error: 0.5187\n",
            "\n",
            "Epoch 00558: val_loss improved from 0.35582 to 0.35576, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 559/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3679 - mean_absolute_error: 0.4693 - weighted_mean_absolute_error: 0.5269 - val_loss: 0.3557 - val_mean_absolute_error: 0.4695 - val_weighted_mean_absolute_error: 0.5184\n",
            "\n",
            "Epoch 00559: val_loss improved from 0.35576 to 0.35569, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 560/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3652 - mean_absolute_error: 0.4757 - weighted_mean_absolute_error: 0.5268 - val_loss: 0.3562 - val_mean_absolute_error: 0.4683 - val_weighted_mean_absolute_error: 0.5195\n",
            "\n",
            "Epoch 00560: val_loss did not improve from 0.35569\n",
            "Epoch 561/2000\n",
            "39/39 [==============================] - 18s 460ms/step - loss: 0.3629 - mean_absolute_error: 0.4767 - weighted_mean_absolute_error: 0.5254 - val_loss: 0.3565 - val_mean_absolute_error: 0.4626 - val_weighted_mean_absolute_error: 0.5197\n",
            "\n",
            "Epoch 00561: val_loss did not improve from 0.35569\n",
            "Epoch 562/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3640 - mean_absolute_error: 0.4694 - weighted_mean_absolute_error: 0.5300 - val_loss: 0.3558 - val_mean_absolute_error: 0.4659 - val_weighted_mean_absolute_error: 0.5186\n",
            "\n",
            "Epoch 00562: val_loss did not improve from 0.35569\n",
            "Epoch 563/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3662 - mean_absolute_error: 0.4664 - weighted_mean_absolute_error: 0.5282 - val_loss: 0.3564 - val_mean_absolute_error: 0.4788 - val_weighted_mean_absolute_error: 0.5203\n",
            "\n",
            "Epoch 00563: val_loss did not improve from 0.35569\n",
            "Epoch 564/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3626 - mean_absolute_error: 0.4730 - weighted_mean_absolute_error: 0.5261 - val_loss: 0.3557 - val_mean_absolute_error: 0.4696 - val_weighted_mean_absolute_error: 0.5191\n",
            "\n",
            "Epoch 00564: val_loss did not improve from 0.35569\n",
            "Epoch 565/2000\n",
            "39/39 [==============================] - 18s 459ms/step - loss: 0.3636 - mean_absolute_error: 0.4736 - weighted_mean_absolute_error: 0.5297 - val_loss: 0.3566 - val_mean_absolute_error: 0.4622 - val_weighted_mean_absolute_error: 0.5203\n",
            "\n",
            "Epoch 00565: val_loss did not improve from 0.35569\n",
            "Epoch 566/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3663 - mean_absolute_error: 0.4651 - weighted_mean_absolute_error: 0.5298 - val_loss: 0.3574 - val_mean_absolute_error: 0.4664 - val_weighted_mean_absolute_error: 0.5207\n",
            "\n",
            "Epoch 00566: val_loss did not improve from 0.35569\n",
            "Epoch 567/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3649 - mean_absolute_error: 0.4713 - weighted_mean_absolute_error: 0.5288 - val_loss: 0.3557 - val_mean_absolute_error: 0.4617 - val_weighted_mean_absolute_error: 0.5194\n",
            "\n",
            "Epoch 00567: val_loss did not improve from 0.35569\n",
            "Epoch 568/2000\n",
            "39/39 [==============================] - 18s 460ms/step - loss: 0.3637 - mean_absolute_error: 0.4673 - weighted_mean_absolute_error: 0.5294 - val_loss: 0.3556 - val_mean_absolute_error: 0.4631 - val_weighted_mean_absolute_error: 0.5182\n",
            "\n",
            "Epoch 00568: val_loss improved from 0.35569 to 0.35563, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 569/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3650 - mean_absolute_error: 0.4636 - weighted_mean_absolute_error: 0.5272 - val_loss: 0.3564 - val_mean_absolute_error: 0.4622 - val_weighted_mean_absolute_error: 0.5194\n",
            "\n",
            "Epoch 00569: val_loss did not improve from 0.35563\n",
            "Epoch 570/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3655 - mean_absolute_error: 0.4665 - weighted_mean_absolute_error: 0.5285 - val_loss: 0.3552 - val_mean_absolute_error: 0.4531 - val_weighted_mean_absolute_error: 0.5185\n",
            "\n",
            "Epoch 00570: val_loss improved from 0.35563 to 0.35516, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 571/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3639 - mean_absolute_error: 0.4611 - weighted_mean_absolute_error: 0.5297 - val_loss: 0.3556 - val_mean_absolute_error: 0.4588 - val_weighted_mean_absolute_error: 0.5191\n",
            "\n",
            "Epoch 00571: val_loss did not improve from 0.35516\n",
            "Epoch 572/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3649 - mean_absolute_error: 0.4627 - weighted_mean_absolute_error: 0.5265 - val_loss: 0.3558 - val_mean_absolute_error: 0.4534 - val_weighted_mean_absolute_error: 0.5190\n",
            "\n",
            "Epoch 00572: val_loss did not improve from 0.35516\n",
            "Epoch 573/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3640 - mean_absolute_error: 0.4637 - weighted_mean_absolute_error: 0.5268 - val_loss: 0.3552 - val_mean_absolute_error: 0.4663 - val_weighted_mean_absolute_error: 0.5183\n",
            "\n",
            "Epoch 00573: val_loss did not improve from 0.35516\n",
            "Epoch 574/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3672 - mean_absolute_error: 0.4690 - weighted_mean_absolute_error: 0.5285 - val_loss: 0.3556 - val_mean_absolute_error: 0.4551 - val_weighted_mean_absolute_error: 0.5192\n",
            "\n",
            "Epoch 00574: val_loss did not improve from 0.35516\n",
            "Epoch 575/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3649 - mean_absolute_error: 0.4693 - weighted_mean_absolute_error: 0.5275 - val_loss: 0.3558 - val_mean_absolute_error: 0.4624 - val_weighted_mean_absolute_error: 0.5193\n",
            "\n",
            "Epoch 00575: val_loss did not improve from 0.35516\n",
            "Epoch 576/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3634 - mean_absolute_error: 0.4634 - weighted_mean_absolute_error: 0.5292 - val_loss: 0.3554 - val_mean_absolute_error: 0.4637 - val_weighted_mean_absolute_error: 0.5181\n",
            "\n",
            "Epoch 00576: val_loss did not improve from 0.35516\n",
            "Epoch 577/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3641 - mean_absolute_error: 0.4619 - weighted_mean_absolute_error: 0.5302 - val_loss: 0.3556 - val_mean_absolute_error: 0.4559 - val_weighted_mean_absolute_error: 0.5191\n",
            "\n",
            "Epoch 00577: val_loss did not improve from 0.35516\n",
            "Epoch 578/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3672 - mean_absolute_error: 0.4579 - weighted_mean_absolute_error: 0.5271 - val_loss: 0.3560 - val_mean_absolute_error: 0.4613 - val_weighted_mean_absolute_error: 0.5188\n",
            "\n",
            "Epoch 00578: val_loss did not improve from 0.35516\n",
            "Epoch 579/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3645 - mean_absolute_error: 0.4656 - weighted_mean_absolute_error: 0.5287 - val_loss: 0.3567 - val_mean_absolute_error: 0.4657 - val_weighted_mean_absolute_error: 0.5198\n",
            "\n",
            "Epoch 00579: val_loss did not improve from 0.35516\n",
            "Epoch 580/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3648 - mean_absolute_error: 0.4625 - weighted_mean_absolute_error: 0.5278 - val_loss: 0.3566 - val_mean_absolute_error: 0.4447 - val_weighted_mean_absolute_error: 0.5201\n",
            "\n",
            "Epoch 00580: val_loss did not improve from 0.35516\n",
            "Epoch 581/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3615 - mean_absolute_error: 0.4548 - weighted_mean_absolute_error: 0.5296 - val_loss: 0.3556 - val_mean_absolute_error: 0.4559 - val_weighted_mean_absolute_error: 0.5178\n",
            "\n",
            "Epoch 00581: val_loss did not improve from 0.35516\n",
            "Epoch 582/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3638 - mean_absolute_error: 0.4586 - weighted_mean_absolute_error: 0.5284 - val_loss: 0.3555 - val_mean_absolute_error: 0.4450 - val_weighted_mean_absolute_error: 0.5187\n",
            "\n",
            "Epoch 00582: val_loss did not improve from 0.35516\n",
            "Epoch 583/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3657 - mean_absolute_error: 0.4530 - weighted_mean_absolute_error: 0.5301 - val_loss: 0.3558 - val_mean_absolute_error: 0.4461 - val_weighted_mean_absolute_error: 0.5184\n",
            "\n",
            "Epoch 00583: val_loss did not improve from 0.35516\n",
            "Epoch 584/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3645 - mean_absolute_error: 0.4569 - weighted_mean_absolute_error: 0.5293 - val_loss: 0.3570 - val_mean_absolute_error: 0.4483 - val_weighted_mean_absolute_error: 0.5215\n",
            "\n",
            "Epoch 00584: val_loss did not improve from 0.35516\n",
            "Epoch 585/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3640 - mean_absolute_error: 0.4569 - weighted_mean_absolute_error: 0.5278 - val_loss: 0.3551 - val_mean_absolute_error: 0.4508 - val_weighted_mean_absolute_error: 0.5176\n",
            "\n",
            "Epoch 00585: val_loss improved from 0.35516 to 0.35511, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 586/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3622 - mean_absolute_error: 0.4572 - weighted_mean_absolute_error: 0.5282 - val_loss: 0.3562 - val_mean_absolute_error: 0.4564 - val_weighted_mean_absolute_error: 0.5205\n",
            "\n",
            "Epoch 00586: val_loss did not improve from 0.35511\n",
            "Epoch 587/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3664 - mean_absolute_error: 0.4536 - weighted_mean_absolute_error: 0.5274 - val_loss: 0.3554 - val_mean_absolute_error: 0.4413 - val_weighted_mean_absolute_error: 0.5193\n",
            "\n",
            "Epoch 00587: val_loss did not improve from 0.35511\n",
            "Epoch 588/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3599 - mean_absolute_error: 0.4465 - weighted_mean_absolute_error: 0.5308 - val_loss: 0.3551 - val_mean_absolute_error: 0.4529 - val_weighted_mean_absolute_error: 0.5178\n",
            "\n",
            "Epoch 00588: val_loss improved from 0.35511 to 0.35511, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 589/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3645 - mean_absolute_error: 0.4513 - weighted_mean_absolute_error: 0.5285 - val_loss: 0.3552 - val_mean_absolute_error: 0.4588 - val_weighted_mean_absolute_error: 0.5188\n",
            "\n",
            "Epoch 00589: val_loss did not improve from 0.35511\n",
            "Epoch 590/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3638 - mean_absolute_error: 0.4487 - weighted_mean_absolute_error: 0.5290 - val_loss: 0.3548 - val_mean_absolute_error: 0.4309 - val_weighted_mean_absolute_error: 0.5186\n",
            "\n",
            "Epoch 00590: val_loss improved from 0.35511 to 0.35480, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 591/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3652 - mean_absolute_error: 0.4450 - weighted_mean_absolute_error: 0.5279 - val_loss: 0.3553 - val_mean_absolute_error: 0.4431 - val_weighted_mean_absolute_error: 0.5200\n",
            "\n",
            "Epoch 00591: val_loss did not improve from 0.35480\n",
            "Epoch 592/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3638 - mean_absolute_error: 0.4442 - weighted_mean_absolute_error: 0.5289 - val_loss: 0.3544 - val_mean_absolute_error: 0.4365 - val_weighted_mean_absolute_error: 0.5177\n",
            "\n",
            "Epoch 00592: val_loss improved from 0.35480 to 0.35439, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 593/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3655 - mean_absolute_error: 0.4443 - weighted_mean_absolute_error: 0.5267 - val_loss: 0.3551 - val_mean_absolute_error: 0.4501 - val_weighted_mean_absolute_error: 0.5183\n",
            "\n",
            "Epoch 00593: val_loss did not improve from 0.35439\n",
            "Epoch 594/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3642 - mean_absolute_error: 0.4604 - weighted_mean_absolute_error: 0.5282 - val_loss: 0.3560 - val_mean_absolute_error: 0.4599 - val_weighted_mean_absolute_error: 0.5190\n",
            "\n",
            "Epoch 00594: val_loss did not improve from 0.35439\n",
            "Epoch 595/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3663 - mean_absolute_error: 0.4615 - weighted_mean_absolute_error: 0.5306 - val_loss: 0.3547 - val_mean_absolute_error: 0.4491 - val_weighted_mean_absolute_error: 0.5190\n",
            "\n",
            "Epoch 00595: val_loss did not improve from 0.35439\n",
            "Epoch 596/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3658 - mean_absolute_error: 0.4497 - weighted_mean_absolute_error: 0.5287 - val_loss: 0.3549 - val_mean_absolute_error: 0.4549 - val_weighted_mean_absolute_error: 0.5183\n",
            "\n",
            "Epoch 00596: val_loss did not improve from 0.35439\n",
            "Epoch 597/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3674 - mean_absolute_error: 0.4534 - weighted_mean_absolute_error: 0.5282 - val_loss: 0.3550 - val_mean_absolute_error: 0.4568 - val_weighted_mean_absolute_error: 0.5176\n",
            "\n",
            "Epoch 00597: val_loss did not improve from 0.35439\n",
            "Epoch 598/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3642 - mean_absolute_error: 0.4576 - weighted_mean_absolute_error: 0.5281 - val_loss: 0.3549 - val_mean_absolute_error: 0.4617 - val_weighted_mean_absolute_error: 0.5169\n",
            "\n",
            "Epoch 00598: val_loss did not improve from 0.35439\n",
            "Epoch 599/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3639 - mean_absolute_error: 0.4496 - weighted_mean_absolute_error: 0.5288 - val_loss: 0.3545 - val_mean_absolute_error: 0.4512 - val_weighted_mean_absolute_error: 0.5183\n",
            "\n",
            "Epoch 00599: val_loss did not improve from 0.35439\n",
            "Epoch 600/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3637 - mean_absolute_error: 0.4520 - weighted_mean_absolute_error: 0.5263 - val_loss: 0.3541 - val_mean_absolute_error: 0.4458 - val_weighted_mean_absolute_error: 0.5175\n",
            "\n",
            "Epoch 00600: val_loss improved from 0.35439 to 0.35412, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 601/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3636 - mean_absolute_error: 0.4509 - weighted_mean_absolute_error: 0.5261 - val_loss: 0.3547 - val_mean_absolute_error: 0.4411 - val_weighted_mean_absolute_error: 0.5189\n",
            "\n",
            "Epoch 00601: val_loss did not improve from 0.35412\n",
            "Epoch 602/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3631 - mean_absolute_error: 0.4536 - weighted_mean_absolute_error: 0.5248 - val_loss: 0.3551 - val_mean_absolute_error: 0.4397 - val_weighted_mean_absolute_error: 0.5187\n",
            "\n",
            "Epoch 00602: val_loss did not improve from 0.35412\n",
            "Epoch 603/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3648 - mean_absolute_error: 0.4529 - weighted_mean_absolute_error: 0.5293 - val_loss: 0.3559 - val_mean_absolute_error: 0.4484 - val_weighted_mean_absolute_error: 0.5197\n",
            "\n",
            "Epoch 00603: val_loss did not improve from 0.35412\n",
            "Epoch 604/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3598 - mean_absolute_error: 0.4511 - weighted_mean_absolute_error: 0.5272 - val_loss: 0.3546 - val_mean_absolute_error: 0.4398 - val_weighted_mean_absolute_error: 0.5180\n",
            "\n",
            "Epoch 00604: val_loss did not improve from 0.35412\n",
            "Epoch 605/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3641 - mean_absolute_error: 0.4509 - weighted_mean_absolute_error: 0.5281 - val_loss: 0.3552 - val_mean_absolute_error: 0.4486 - val_weighted_mean_absolute_error: 0.5186\n",
            "\n",
            "Epoch 00605: val_loss did not improve from 0.35412\n",
            "Epoch 606/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3640 - mean_absolute_error: 0.4530 - weighted_mean_absolute_error: 0.5301 - val_loss: 0.3559 - val_mean_absolute_error: 0.4528 - val_weighted_mean_absolute_error: 0.5199\n",
            "\n",
            "Epoch 00606: val_loss did not improve from 0.35412\n",
            "Epoch 607/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3633 - mean_absolute_error: 0.4522 - weighted_mean_absolute_error: 0.5273 - val_loss: 0.3556 - val_mean_absolute_error: 0.4518 - val_weighted_mean_absolute_error: 0.5194\n",
            "\n",
            "Epoch 00607: val_loss did not improve from 0.35412\n",
            "Epoch 608/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3634 - mean_absolute_error: 0.4530 - weighted_mean_absolute_error: 0.5270 - val_loss: 0.3547 - val_mean_absolute_error: 0.4407 - val_weighted_mean_absolute_error: 0.5186\n",
            "\n",
            "Epoch 00608: val_loss did not improve from 0.35412\n",
            "Epoch 609/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3623 - mean_absolute_error: 0.4491 - weighted_mean_absolute_error: 0.5280 - val_loss: 0.3544 - val_mean_absolute_error: 0.4436 - val_weighted_mean_absolute_error: 0.5187\n",
            "\n",
            "Epoch 00609: val_loss did not improve from 0.35412\n",
            "Epoch 610/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3635 - mean_absolute_error: 0.4482 - weighted_mean_absolute_error: 0.5255 - val_loss: 0.3549 - val_mean_absolute_error: 0.4500 - val_weighted_mean_absolute_error: 0.5186\n",
            "\n",
            "Epoch 00610: val_loss did not improve from 0.35412\n",
            "Epoch 611/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3618 - mean_absolute_error: 0.4503 - weighted_mean_absolute_error: 0.5269 - val_loss: 0.3545 - val_mean_absolute_error: 0.4388 - val_weighted_mean_absolute_error: 0.5191\n",
            "\n",
            "Epoch 00611: val_loss did not improve from 0.35412\n",
            "Epoch 612/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3625 - mean_absolute_error: 0.4563 - weighted_mean_absolute_error: 0.5282 - val_loss: 0.3540 - val_mean_absolute_error: 0.4465 - val_weighted_mean_absolute_error: 0.5181\n",
            "\n",
            "Epoch 00612: val_loss improved from 0.35412 to 0.35399, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 613/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3637 - mean_absolute_error: 0.4525 - weighted_mean_absolute_error: 0.5264 - val_loss: 0.3567 - val_mean_absolute_error: 0.4460 - val_weighted_mean_absolute_error: 0.5212\n",
            "\n",
            "Epoch 00613: val_loss did not improve from 0.35399\n",
            "Epoch 614/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3641 - mean_absolute_error: 0.4526 - weighted_mean_absolute_error: 0.5278 - val_loss: 0.3539 - val_mean_absolute_error: 0.4356 - val_weighted_mean_absolute_error: 0.5175\n",
            "\n",
            "Epoch 00614: val_loss improved from 0.35399 to 0.35387, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 615/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3645 - mean_absolute_error: 0.4422 - weighted_mean_absolute_error: 0.5296 - val_loss: 0.3542 - val_mean_absolute_error: 0.4441 - val_weighted_mean_absolute_error: 0.5179\n",
            "\n",
            "Epoch 00615: val_loss did not improve from 0.35387\n",
            "Epoch 616/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3638 - mean_absolute_error: 0.4494 - weighted_mean_absolute_error: 0.5276 - val_loss: 0.3544 - val_mean_absolute_error: 0.4329 - val_weighted_mean_absolute_error: 0.5181\n",
            "\n",
            "Epoch 00616: val_loss did not improve from 0.35387\n",
            "Epoch 617/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3621 - mean_absolute_error: 0.4410 - weighted_mean_absolute_error: 0.5270 - val_loss: 0.3539 - val_mean_absolute_error: 0.4407 - val_weighted_mean_absolute_error: 0.5179\n",
            "\n",
            "Epoch 00617: val_loss did not improve from 0.35387\n",
            "Epoch 618/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3633 - mean_absolute_error: 0.4501 - weighted_mean_absolute_error: 0.5286 - val_loss: 0.3539 - val_mean_absolute_error: 0.4350 - val_weighted_mean_absolute_error: 0.5179\n",
            "\n",
            "Epoch 00618: val_loss did not improve from 0.35387\n",
            "Epoch 619/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3612 - mean_absolute_error: 0.4474 - weighted_mean_absolute_error: 0.5263 - val_loss: 0.3540 - val_mean_absolute_error: 0.4397 - val_weighted_mean_absolute_error: 0.5170\n",
            "\n",
            "Epoch 00619: val_loss did not improve from 0.35387\n",
            "Epoch 620/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3638 - mean_absolute_error: 0.4432 - weighted_mean_absolute_error: 0.5258 - val_loss: 0.3537 - val_mean_absolute_error: 0.4395 - val_weighted_mean_absolute_error: 0.5173\n",
            "\n",
            "Epoch 00620: val_loss improved from 0.35387 to 0.35370, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 621/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3617 - mean_absolute_error: 0.4490 - weighted_mean_absolute_error: 0.5270 - val_loss: 0.3535 - val_mean_absolute_error: 0.4329 - val_weighted_mean_absolute_error: 0.5174\n",
            "\n",
            "Epoch 00621: val_loss improved from 0.35370 to 0.35346, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 622/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3656 - mean_absolute_error: 0.4499 - weighted_mean_absolute_error: 0.5275 - val_loss: 0.3540 - val_mean_absolute_error: 0.4220 - val_weighted_mean_absolute_error: 0.5181\n",
            "\n",
            "Epoch 00622: val_loss did not improve from 0.35346\n",
            "Epoch 623/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3634 - mean_absolute_error: 0.4414 - weighted_mean_absolute_error: 0.5261 - val_loss: 0.3535 - val_mean_absolute_error: 0.4329 - val_weighted_mean_absolute_error: 0.5176\n",
            "\n",
            "Epoch 00623: val_loss did not improve from 0.35346\n",
            "Epoch 624/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3643 - mean_absolute_error: 0.4421 - weighted_mean_absolute_error: 0.5260 - val_loss: 0.3540 - val_mean_absolute_error: 0.4485 - val_weighted_mean_absolute_error: 0.5183\n",
            "\n",
            "Epoch 00624: val_loss did not improve from 0.35346\n",
            "Epoch 625/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3638 - mean_absolute_error: 0.4496 - weighted_mean_absolute_error: 0.5257 - val_loss: 0.3540 - val_mean_absolute_error: 0.4446 - val_weighted_mean_absolute_error: 0.5182\n",
            "\n",
            "Epoch 00625: val_loss did not improve from 0.35346\n",
            "Epoch 626/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3609 - mean_absolute_error: 0.4467 - weighted_mean_absolute_error: 0.5237 - val_loss: 0.3548 - val_mean_absolute_error: 0.4381 - val_weighted_mean_absolute_error: 0.5184\n",
            "\n",
            "Epoch 00626: val_loss did not improve from 0.35346\n",
            "Epoch 627/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3625 - mean_absolute_error: 0.4492 - weighted_mean_absolute_error: 0.5287 - val_loss: 0.3538 - val_mean_absolute_error: 0.4393 - val_weighted_mean_absolute_error: 0.5182\n",
            "\n",
            "Epoch 00627: val_loss did not improve from 0.35346\n",
            "Epoch 628/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3638 - mean_absolute_error: 0.4450 - weighted_mean_absolute_error: 0.5273 - val_loss: 0.3536 - val_mean_absolute_error: 0.4381 - val_weighted_mean_absolute_error: 0.5173\n",
            "\n",
            "Epoch 00628: val_loss did not improve from 0.35346\n",
            "Epoch 629/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3587 - mean_absolute_error: 0.4381 - weighted_mean_absolute_error: 0.5265 - val_loss: 0.3544 - val_mean_absolute_error: 0.4384 - val_weighted_mean_absolute_error: 0.5184\n",
            "\n",
            "Epoch 00629: val_loss did not improve from 0.35346\n",
            "Epoch 630/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3613 - mean_absolute_error: 0.4456 - weighted_mean_absolute_error: 0.5228 - val_loss: 0.3548 - val_mean_absolute_error: 0.4391 - val_weighted_mean_absolute_error: 0.5189\n",
            "\n",
            "Epoch 00630: val_loss did not improve from 0.35346\n",
            "Epoch 631/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3646 - mean_absolute_error: 0.4464 - weighted_mean_absolute_error: 0.5278 - val_loss: 0.3540 - val_mean_absolute_error: 0.4241 - val_weighted_mean_absolute_error: 0.5185\n",
            "\n",
            "Epoch 00631: val_loss did not improve from 0.35346\n",
            "Epoch 632/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3643 - mean_absolute_error: 0.4393 - weighted_mean_absolute_error: 0.5299 - val_loss: 0.3551 - val_mean_absolute_error: 0.4388 - val_weighted_mean_absolute_error: 0.5187\n",
            "\n",
            "Epoch 00632: val_loss did not improve from 0.35346\n",
            "Epoch 633/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3631 - mean_absolute_error: 0.4427 - weighted_mean_absolute_error: 0.5253 - val_loss: 0.3534 - val_mean_absolute_error: 0.4287 - val_weighted_mean_absolute_error: 0.5167\n",
            "\n",
            "Epoch 00633: val_loss improved from 0.35346 to 0.35338, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 634/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3631 - mean_absolute_error: 0.4375 - weighted_mean_absolute_error: 0.5265 - val_loss: 0.3538 - val_mean_absolute_error: 0.4161 - val_weighted_mean_absolute_error: 0.5178\n",
            "\n",
            "Epoch 00634: val_loss did not improve from 0.35338\n",
            "Epoch 635/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3623 - mean_absolute_error: 0.4325 - weighted_mean_absolute_error: 0.5287 - val_loss: 0.3536 - val_mean_absolute_error: 0.4239 - val_weighted_mean_absolute_error: 0.5181\n",
            "\n",
            "Epoch 00635: val_loss did not improve from 0.35338\n",
            "Epoch 636/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3640 - mean_absolute_error: 0.4401 - weighted_mean_absolute_error: 0.5265 - val_loss: 0.3540 - val_mean_absolute_error: 0.4227 - val_weighted_mean_absolute_error: 0.5178\n",
            "\n",
            "Epoch 00636: val_loss did not improve from 0.35338\n",
            "Epoch 637/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3596 - mean_absolute_error: 0.4331 - weighted_mean_absolute_error: 0.5276 - val_loss: 0.3536 - val_mean_absolute_error: 0.4561 - val_weighted_mean_absolute_error: 0.5170\n",
            "\n",
            "Epoch 00637: val_loss did not improve from 0.35338\n",
            "Epoch 638/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3634 - mean_absolute_error: 0.4497 - weighted_mean_absolute_error: 0.5249 - val_loss: 0.3547 - val_mean_absolute_error: 0.4416 - val_weighted_mean_absolute_error: 0.5187\n",
            "\n",
            "Epoch 00638: val_loss did not improve from 0.35338\n",
            "Epoch 639/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3635 - mean_absolute_error: 0.4486 - weighted_mean_absolute_error: 0.5284 - val_loss: 0.3533 - val_mean_absolute_error: 0.4272 - val_weighted_mean_absolute_error: 0.5177\n",
            "\n",
            "Epoch 00639: val_loss improved from 0.35338 to 0.35330, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 640/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3623 - mean_absolute_error: 0.4348 - weighted_mean_absolute_error: 0.5290 - val_loss: 0.3543 - val_mean_absolute_error: 0.4205 - val_weighted_mean_absolute_error: 0.5178\n",
            "\n",
            "Epoch 00640: val_loss did not improve from 0.35330\n",
            "Epoch 641/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3626 - mean_absolute_error: 0.4292 - weighted_mean_absolute_error: 0.5306 - val_loss: 0.3551 - val_mean_absolute_error: 0.4353 - val_weighted_mean_absolute_error: 0.5192\n",
            "\n",
            "Epoch 00641: val_loss did not improve from 0.35330\n",
            "Epoch 642/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3648 - mean_absolute_error: 0.4344 - weighted_mean_absolute_error: 0.5258 - val_loss: 0.3541 - val_mean_absolute_error: 0.4201 - val_weighted_mean_absolute_error: 0.5185\n",
            "\n",
            "Epoch 00642: val_loss did not improve from 0.35330\n",
            "Epoch 643/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3625 - mean_absolute_error: 0.4271 - weighted_mean_absolute_error: 0.5284 - val_loss: 0.3544 - val_mean_absolute_error: 0.4160 - val_weighted_mean_absolute_error: 0.5181\n",
            "\n",
            "Epoch 00643: val_loss did not improve from 0.35330\n",
            "Epoch 644/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3619 - mean_absolute_error: 0.4271 - weighted_mean_absolute_error: 0.5274 - val_loss: 0.3537 - val_mean_absolute_error: 0.4225 - val_weighted_mean_absolute_error: 0.5181\n",
            "\n",
            "Epoch 00644: val_loss did not improve from 0.35330\n",
            "Epoch 645/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3611 - mean_absolute_error: 0.4283 - weighted_mean_absolute_error: 0.5287 - val_loss: 0.3546 - val_mean_absolute_error: 0.4039 - val_weighted_mean_absolute_error: 0.5191\n",
            "\n",
            "Epoch 00645: val_loss did not improve from 0.35330\n",
            "Epoch 646/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3607 - mean_absolute_error: 0.4211 - weighted_mean_absolute_error: 0.5257 - val_loss: 0.3533 - val_mean_absolute_error: 0.4080 - val_weighted_mean_absolute_error: 0.5175\n",
            "\n",
            "Epoch 00646: val_loss improved from 0.35330 to 0.35328, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 647/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3613 - mean_absolute_error: 0.4233 - weighted_mean_absolute_error: 0.5260 - val_loss: 0.3538 - val_mean_absolute_error: 0.4200 - val_weighted_mean_absolute_error: 0.5169\n",
            "\n",
            "Epoch 00647: val_loss did not improve from 0.35328\n",
            "Epoch 648/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3600 - mean_absolute_error: 0.4269 - weighted_mean_absolute_error: 0.5279 - val_loss: 0.3529 - val_mean_absolute_error: 0.4214 - val_weighted_mean_absolute_error: 0.5174\n",
            "\n",
            "Epoch 00648: val_loss improved from 0.35328 to 0.35288, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 649/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3605 - mean_absolute_error: 0.4286 - weighted_mean_absolute_error: 0.5265 - val_loss: 0.3538 - val_mean_absolute_error: 0.4263 - val_weighted_mean_absolute_error: 0.5185\n",
            "\n",
            "Epoch 00649: val_loss did not improve from 0.35288\n",
            "Epoch 650/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3634 - mean_absolute_error: 0.4330 - weighted_mean_absolute_error: 0.5276 - val_loss: 0.3532 - val_mean_absolute_error: 0.4194 - val_weighted_mean_absolute_error: 0.5162\n",
            "\n",
            "Epoch 00650: val_loss did not improve from 0.35288\n",
            "Epoch 651/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3594 - mean_absolute_error: 0.4257 - weighted_mean_absolute_error: 0.5259 - val_loss: 0.3529 - val_mean_absolute_error: 0.4354 - val_weighted_mean_absolute_error: 0.5160\n",
            "\n",
            "Epoch 00651: val_loss did not improve from 0.35288\n",
            "Epoch 652/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3655 - mean_absolute_error: 0.4313 - weighted_mean_absolute_error: 0.5284 - val_loss: 0.3535 - val_mean_absolute_error: 0.4199 - val_weighted_mean_absolute_error: 0.5177\n",
            "\n",
            "Epoch 00652: val_loss did not improve from 0.35288\n",
            "Epoch 653/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3630 - mean_absolute_error: 0.4319 - weighted_mean_absolute_error: 0.5233 - val_loss: 0.3538 - val_mean_absolute_error: 0.4273 - val_weighted_mean_absolute_error: 0.5174\n",
            "\n",
            "Epoch 00653: val_loss did not improve from 0.35288\n",
            "Epoch 654/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3620 - mean_absolute_error: 0.4329 - weighted_mean_absolute_error: 0.5286 - val_loss: 0.3535 - val_mean_absolute_error: 0.4098 - val_weighted_mean_absolute_error: 0.5174\n",
            "\n",
            "Epoch 00654: val_loss did not improve from 0.35288\n",
            "Epoch 655/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3617 - mean_absolute_error: 0.4305 - weighted_mean_absolute_error: 0.5258 - val_loss: 0.3522 - val_mean_absolute_error: 0.4128 - val_weighted_mean_absolute_error: 0.5156\n",
            "\n",
            "Epoch 00655: val_loss improved from 0.35288 to 0.35219, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 656/2000\n",
            "39/39 [==============================] - 18s 460ms/step - loss: 0.3629 - mean_absolute_error: 0.4213 - weighted_mean_absolute_error: 0.5261 - val_loss: 0.3529 - val_mean_absolute_error: 0.4128 - val_weighted_mean_absolute_error: 0.5170\n",
            "\n",
            "Epoch 00656: val_loss did not improve from 0.35219\n",
            "Epoch 657/2000\n",
            "39/39 [==============================] - 18s 460ms/step - loss: 0.3621 - mean_absolute_error: 0.4200 - weighted_mean_absolute_error: 0.5282 - val_loss: 0.3533 - val_mean_absolute_error: 0.4074 - val_weighted_mean_absolute_error: 0.5180\n",
            "\n",
            "Epoch 00657: val_loss did not improve from 0.35219\n",
            "Epoch 658/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3601 - mean_absolute_error: 0.4256 - weighted_mean_absolute_error: 0.5282 - val_loss: 0.3539 - val_mean_absolute_error: 0.4076 - val_weighted_mean_absolute_error: 0.5186\n",
            "\n",
            "Epoch 00658: val_loss did not improve from 0.35219\n",
            "Epoch 659/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3601 - mean_absolute_error: 0.4184 - weighted_mean_absolute_error: 0.5307 - val_loss: 0.3526 - val_mean_absolute_error: 0.4084 - val_weighted_mean_absolute_error: 0.5170\n",
            "\n",
            "Epoch 00659: val_loss did not improve from 0.35219\n",
            "Epoch 660/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3610 - mean_absolute_error: 0.4160 - weighted_mean_absolute_error: 0.5266 - val_loss: 0.3524 - val_mean_absolute_error: 0.4193 - val_weighted_mean_absolute_error: 0.5160\n",
            "\n",
            "Epoch 00660: val_loss did not improve from 0.35219\n",
            "Epoch 661/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3633 - mean_absolute_error: 0.4265 - weighted_mean_absolute_error: 0.5267 - val_loss: 0.3528 - val_mean_absolute_error: 0.4112 - val_weighted_mean_absolute_error: 0.5172\n",
            "\n",
            "Epoch 00661: val_loss did not improve from 0.35219\n",
            "Epoch 662/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3636 - mean_absolute_error: 0.4258 - weighted_mean_absolute_error: 0.5278 - val_loss: 0.3533 - val_mean_absolute_error: 0.4084 - val_weighted_mean_absolute_error: 0.5183\n",
            "\n",
            "Epoch 00662: val_loss did not improve from 0.35219\n",
            "Epoch 663/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3600 - mean_absolute_error: 0.4220 - weighted_mean_absolute_error: 0.5273 - val_loss: 0.3534 - val_mean_absolute_error: 0.4154 - val_weighted_mean_absolute_error: 0.5173\n",
            "\n",
            "Epoch 00663: val_loss did not improve from 0.35219\n",
            "Epoch 664/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3648 - mean_absolute_error: 0.4243 - weighted_mean_absolute_error: 0.5294 - val_loss: 0.3534 - val_mean_absolute_error: 0.4149 - val_weighted_mean_absolute_error: 0.5176\n",
            "\n",
            "Epoch 00664: val_loss did not improve from 0.35219\n",
            "Epoch 665/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3621 - mean_absolute_error: 0.4235 - weighted_mean_absolute_error: 0.5252 - val_loss: 0.3527 - val_mean_absolute_error: 0.4034 - val_weighted_mean_absolute_error: 0.5166\n",
            "\n",
            "Epoch 00665: val_loss did not improve from 0.35219\n",
            "Epoch 666/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3623 - mean_absolute_error: 0.4174 - weighted_mean_absolute_error: 0.5300 - val_loss: 0.3528 - val_mean_absolute_error: 0.4105 - val_weighted_mean_absolute_error: 0.5169\n",
            "\n",
            "Epoch 00666: val_loss did not improve from 0.35219\n",
            "Epoch 667/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3629 - mean_absolute_error: 0.4234 - weighted_mean_absolute_error: 0.5288 - val_loss: 0.3519 - val_mean_absolute_error: 0.4225 - val_weighted_mean_absolute_error: 0.5165\n",
            "\n",
            "Epoch 00667: val_loss improved from 0.35219 to 0.35188, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 668/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3606 - mean_absolute_error: 0.4207 - weighted_mean_absolute_error: 0.5278 - val_loss: 0.3533 - val_mean_absolute_error: 0.4145 - val_weighted_mean_absolute_error: 0.5184\n",
            "\n",
            "Epoch 00668: val_loss did not improve from 0.35188\n",
            "Epoch 669/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3653 - mean_absolute_error: 0.4230 - weighted_mean_absolute_error: 0.5291 - val_loss: 0.3526 - val_mean_absolute_error: 0.4164 - val_weighted_mean_absolute_error: 0.5169\n",
            "\n",
            "Epoch 00669: val_loss did not improve from 0.35188\n",
            "Epoch 670/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3607 - mean_absolute_error: 0.4224 - weighted_mean_absolute_error: 0.5248 - val_loss: 0.3527 - val_mean_absolute_error: 0.4168 - val_weighted_mean_absolute_error: 0.5169\n",
            "\n",
            "Epoch 00670: val_loss did not improve from 0.35188\n",
            "Epoch 671/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3596 - mean_absolute_error: 0.4198 - weighted_mean_absolute_error: 0.5247 - val_loss: 0.3526 - val_mean_absolute_error: 0.4179 - val_weighted_mean_absolute_error: 0.5167\n",
            "\n",
            "Epoch 00671: val_loss did not improve from 0.35188\n",
            "Epoch 672/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3637 - mean_absolute_error: 0.4252 - weighted_mean_absolute_error: 0.5275 - val_loss: 0.3535 - val_mean_absolute_error: 0.4138 - val_weighted_mean_absolute_error: 0.5186\n",
            "\n",
            "Epoch 00672: val_loss did not improve from 0.35188\n",
            "Epoch 673/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3628 - mean_absolute_error: 0.4228 - weighted_mean_absolute_error: 0.5249 - val_loss: 0.3525 - val_mean_absolute_error: 0.4031 - val_weighted_mean_absolute_error: 0.5164\n",
            "\n",
            "Epoch 00673: val_loss did not improve from 0.35188\n",
            "Epoch 674/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3631 - mean_absolute_error: 0.4140 - weighted_mean_absolute_error: 0.5252 - val_loss: 0.3523 - val_mean_absolute_error: 0.4134 - val_weighted_mean_absolute_error: 0.5160\n",
            "\n",
            "Epoch 00674: val_loss did not improve from 0.35188\n",
            "Epoch 675/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3623 - mean_absolute_error: 0.4253 - weighted_mean_absolute_error: 0.5251 - val_loss: 0.3532 - val_mean_absolute_error: 0.4158 - val_weighted_mean_absolute_error: 0.5170\n",
            "\n",
            "Epoch 00675: val_loss did not improve from 0.35188\n",
            "Epoch 676/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3598 - mean_absolute_error: 0.4180 - weighted_mean_absolute_error: 0.5275 - val_loss: 0.3519 - val_mean_absolute_error: 0.4113 - val_weighted_mean_absolute_error: 0.5169\n",
            "\n",
            "Epoch 00676: val_loss did not improve from 0.35188\n",
            "Epoch 677/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3611 - mean_absolute_error: 0.4162 - weighted_mean_absolute_error: 0.5248 - val_loss: 0.3531 - val_mean_absolute_error: 0.4136 - val_weighted_mean_absolute_error: 0.5167\n",
            "\n",
            "Epoch 00677: val_loss did not improve from 0.35188\n",
            "Epoch 678/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3619 - mean_absolute_error: 0.4198 - weighted_mean_absolute_error: 0.5258 - val_loss: 0.3532 - val_mean_absolute_error: 0.4070 - val_weighted_mean_absolute_error: 0.5175\n",
            "\n",
            "Epoch 00678: val_loss did not improve from 0.35188\n",
            "Epoch 679/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3623 - mean_absolute_error: 0.4264 - weighted_mean_absolute_error: 0.5259 - val_loss: 0.3521 - val_mean_absolute_error: 0.4155 - val_weighted_mean_absolute_error: 0.5164\n",
            "\n",
            "Epoch 00679: val_loss did not improve from 0.35188\n",
            "Epoch 680/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3598 - mean_absolute_error: 0.4203 - weighted_mean_absolute_error: 0.5256 - val_loss: 0.3530 - val_mean_absolute_error: 0.4059 - val_weighted_mean_absolute_error: 0.5173\n",
            "\n",
            "Epoch 00680: val_loss did not improve from 0.35188\n",
            "Epoch 681/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3625 - mean_absolute_error: 0.4186 - weighted_mean_absolute_error: 0.5264 - val_loss: 0.3537 - val_mean_absolute_error: 0.4113 - val_weighted_mean_absolute_error: 0.5180\n",
            "\n",
            "Epoch 00681: val_loss did not improve from 0.35188\n",
            "Epoch 682/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3628 - mean_absolute_error: 0.4205 - weighted_mean_absolute_error: 0.5282 - val_loss: 0.3527 - val_mean_absolute_error: 0.4113 - val_weighted_mean_absolute_error: 0.5168\n",
            "\n",
            "Epoch 00682: val_loss did not improve from 0.35188\n",
            "Epoch 683/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3616 - mean_absolute_error: 0.4219 - weighted_mean_absolute_error: 0.5273 - val_loss: 0.3523 - val_mean_absolute_error: 0.4035 - val_weighted_mean_absolute_error: 0.5172\n",
            "\n",
            "Epoch 00683: val_loss did not improve from 0.35188\n",
            "Epoch 684/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3608 - mean_absolute_error: 0.4172 - weighted_mean_absolute_error: 0.5257 - val_loss: 0.3524 - val_mean_absolute_error: 0.4050 - val_weighted_mean_absolute_error: 0.5164\n",
            "\n",
            "Epoch 00684: val_loss did not improve from 0.35188\n",
            "Epoch 685/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3601 - mean_absolute_error: 0.4164 - weighted_mean_absolute_error: 0.5253 - val_loss: 0.3520 - val_mean_absolute_error: 0.4221 - val_weighted_mean_absolute_error: 0.5167\n",
            "\n",
            "Epoch 00685: val_loss did not improve from 0.35188\n",
            "Epoch 686/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3623 - mean_absolute_error: 0.4174 - weighted_mean_absolute_error: 0.5279 - val_loss: 0.3521 - val_mean_absolute_error: 0.4062 - val_weighted_mean_absolute_error: 0.5169\n",
            "\n",
            "Epoch 00686: val_loss did not improve from 0.35188\n",
            "Epoch 687/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3604 - mean_absolute_error: 0.4147 - weighted_mean_absolute_error: 0.5245 - val_loss: 0.3523 - val_mean_absolute_error: 0.4093 - val_weighted_mean_absolute_error: 0.5166\n",
            "\n",
            "Epoch 00687: val_loss did not improve from 0.35188\n",
            "Epoch 688/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3615 - mean_absolute_error: 0.4179 - weighted_mean_absolute_error: 0.5269 - val_loss: 0.3528 - val_mean_absolute_error: 0.4170 - val_weighted_mean_absolute_error: 0.5165\n",
            "\n",
            "Epoch 00688: val_loss did not improve from 0.35188\n",
            "Epoch 689/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3621 - mean_absolute_error: 0.4161 - weighted_mean_absolute_error: 0.5259 - val_loss: 0.3544 - val_mean_absolute_error: 0.4158 - val_weighted_mean_absolute_error: 0.5178\n",
            "\n",
            "Epoch 00689: val_loss did not improve from 0.35188\n",
            "Epoch 690/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3602 - mean_absolute_error: 0.4115 - weighted_mean_absolute_error: 0.5253 - val_loss: 0.3519 - val_mean_absolute_error: 0.4051 - val_weighted_mean_absolute_error: 0.5162\n",
            "\n",
            "Epoch 00690: val_loss did not improve from 0.35188\n",
            "Epoch 691/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3603 - mean_absolute_error: 0.4126 - weighted_mean_absolute_error: 0.5267 - val_loss: 0.3525 - val_mean_absolute_error: 0.4017 - val_weighted_mean_absolute_error: 0.5166\n",
            "\n",
            "Epoch 00691: val_loss did not improve from 0.35188\n",
            "Epoch 692/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3603 - mean_absolute_error: 0.4137 - weighted_mean_absolute_error: 0.5262 - val_loss: 0.3522 - val_mean_absolute_error: 0.4061 - val_weighted_mean_absolute_error: 0.5157\n",
            "\n",
            "Epoch 00692: val_loss did not improve from 0.35188\n",
            "Epoch 693/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3606 - mean_absolute_error: 0.4101 - weighted_mean_absolute_error: 0.5274 - val_loss: 0.3522 - val_mean_absolute_error: 0.4139 - val_weighted_mean_absolute_error: 0.5174\n",
            "\n",
            "Epoch 00693: val_loss did not improve from 0.35188\n",
            "Epoch 694/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3621 - mean_absolute_error: 0.4182 - weighted_mean_absolute_error: 0.5250 - val_loss: 0.3524 - val_mean_absolute_error: 0.4080 - val_weighted_mean_absolute_error: 0.5170\n",
            "\n",
            "Epoch 00694: val_loss did not improve from 0.35188\n",
            "Epoch 695/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3613 - mean_absolute_error: 0.4125 - weighted_mean_absolute_error: 0.5265 - val_loss: 0.3526 - val_mean_absolute_error: 0.4109 - val_weighted_mean_absolute_error: 0.5166\n",
            "\n",
            "Epoch 00695: val_loss did not improve from 0.35188\n",
            "Epoch 696/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3607 - mean_absolute_error: 0.4098 - weighted_mean_absolute_error: 0.5258 - val_loss: 0.3527 - val_mean_absolute_error: 0.4091 - val_weighted_mean_absolute_error: 0.5180\n",
            "\n",
            "Epoch 00696: val_loss did not improve from 0.35188\n",
            "Epoch 697/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3596 - mean_absolute_error: 0.4097 - weighted_mean_absolute_error: 0.5258 - val_loss: 0.3520 - val_mean_absolute_error: 0.4122 - val_weighted_mean_absolute_error: 0.5165\n",
            "\n",
            "Epoch 00697: val_loss did not improve from 0.35188\n",
            "Epoch 698/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3600 - mean_absolute_error: 0.4130 - weighted_mean_absolute_error: 0.5272 - val_loss: 0.3522 - val_mean_absolute_error: 0.4075 - val_weighted_mean_absolute_error: 0.5170\n",
            "\n",
            "Epoch 00698: val_loss did not improve from 0.35188\n",
            "Epoch 699/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3600 - mean_absolute_error: 0.4164 - weighted_mean_absolute_error: 0.5256 - val_loss: 0.3527 - val_mean_absolute_error: 0.4058 - val_weighted_mean_absolute_error: 0.5172\n",
            "\n",
            "Epoch 00699: val_loss did not improve from 0.35188\n",
            "Epoch 700/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3610 - mean_absolute_error: 0.4152 - weighted_mean_absolute_error: 0.5278 - val_loss: 0.3517 - val_mean_absolute_error: 0.4129 - val_weighted_mean_absolute_error: 0.5158\n",
            "\n",
            "Epoch 00700: val_loss improved from 0.35188 to 0.35166, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 701/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3612 - mean_absolute_error: 0.4212 - weighted_mean_absolute_error: 0.5275 - val_loss: 0.3519 - val_mean_absolute_error: 0.4179 - val_weighted_mean_absolute_error: 0.5167\n",
            "\n",
            "Epoch 00701: val_loss did not improve from 0.35166\n",
            "Epoch 702/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3618 - mean_absolute_error: 0.4149 - weighted_mean_absolute_error: 0.5244 - val_loss: 0.3525 - val_mean_absolute_error: 0.4044 - val_weighted_mean_absolute_error: 0.5175\n",
            "\n",
            "Epoch 00702: val_loss did not improve from 0.35166\n",
            "Epoch 703/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3620 - mean_absolute_error: 0.4158 - weighted_mean_absolute_error: 0.5287 - val_loss: 0.3522 - val_mean_absolute_error: 0.4125 - val_weighted_mean_absolute_error: 0.5165\n",
            "\n",
            "Epoch 00703: val_loss did not improve from 0.35166\n",
            "Epoch 704/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3635 - mean_absolute_error: 0.4181 - weighted_mean_absolute_error: 0.5282 - val_loss: 0.3526 - val_mean_absolute_error: 0.4075 - val_weighted_mean_absolute_error: 0.5167\n",
            "\n",
            "Epoch 00704: val_loss did not improve from 0.35166\n",
            "Epoch 705/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3592 - mean_absolute_error: 0.4131 - weighted_mean_absolute_error: 0.5256 - val_loss: 0.3522 - val_mean_absolute_error: 0.4065 - val_weighted_mean_absolute_error: 0.5166\n",
            "\n",
            "Epoch 00705: val_loss did not improve from 0.35166\n",
            "Epoch 706/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3624 - mean_absolute_error: 0.4147 - weighted_mean_absolute_error: 0.5233 - val_loss: 0.3524 - val_mean_absolute_error: 0.4058 - val_weighted_mean_absolute_error: 0.5165\n",
            "\n",
            "Epoch 00706: val_loss did not improve from 0.35166\n",
            "Epoch 707/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3603 - mean_absolute_error: 0.4167 - weighted_mean_absolute_error: 0.5275 - val_loss: 0.3517 - val_mean_absolute_error: 0.4076 - val_weighted_mean_absolute_error: 0.5158\n",
            "\n",
            "Epoch 00707: val_loss improved from 0.35166 to 0.35166, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 708/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3606 - mean_absolute_error: 0.4138 - weighted_mean_absolute_error: 0.5247 - val_loss: 0.3515 - val_mean_absolute_error: 0.4068 - val_weighted_mean_absolute_error: 0.5162\n",
            "\n",
            "Epoch 00708: val_loss improved from 0.35166 to 0.35151, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 709/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3596 - mean_absolute_error: 0.4168 - weighted_mean_absolute_error: 0.5256 - val_loss: 0.3522 - val_mean_absolute_error: 0.4093 - val_weighted_mean_absolute_error: 0.5172\n",
            "\n",
            "Epoch 00709: val_loss did not improve from 0.35151\n",
            "Epoch 710/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3611 - mean_absolute_error: 0.4140 - weighted_mean_absolute_error: 0.5275 - val_loss: 0.3521 - val_mean_absolute_error: 0.4073 - val_weighted_mean_absolute_error: 0.5167\n",
            "\n",
            "Epoch 00710: val_loss did not improve from 0.35151\n",
            "Epoch 711/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3596 - mean_absolute_error: 0.4121 - weighted_mean_absolute_error: 0.5263 - val_loss: 0.3520 - val_mean_absolute_error: 0.4070 - val_weighted_mean_absolute_error: 0.5174\n",
            "\n",
            "Epoch 00711: val_loss did not improve from 0.35151\n",
            "Epoch 712/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3612 - mean_absolute_error: 0.4151 - weighted_mean_absolute_error: 0.5235 - val_loss: 0.3534 - val_mean_absolute_error: 0.4116 - val_weighted_mean_absolute_error: 0.5178\n",
            "\n",
            "Epoch 00712: val_loss did not improve from 0.35151\n",
            "Epoch 713/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3616 - mean_absolute_error: 0.4168 - weighted_mean_absolute_error: 0.5269 - val_loss: 0.3517 - val_mean_absolute_error: 0.4121 - val_weighted_mean_absolute_error: 0.5167\n",
            "\n",
            "Epoch 00713: val_loss did not improve from 0.35151\n",
            "Epoch 714/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3589 - mean_absolute_error: 0.4211 - weighted_mean_absolute_error: 0.5205 - val_loss: 0.3521 - val_mean_absolute_error: 0.4219 - val_weighted_mean_absolute_error: 0.5163\n",
            "\n",
            "Epoch 00714: val_loss did not improve from 0.35151\n",
            "Epoch 715/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3603 - mean_absolute_error: 0.4225 - weighted_mean_absolute_error: 0.5252 - val_loss: 0.3525 - val_mean_absolute_error: 0.4127 - val_weighted_mean_absolute_error: 0.5175\n",
            "\n",
            "Epoch 00715: val_loss did not improve from 0.35151\n",
            "Epoch 716/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3623 - mean_absolute_error: 0.4216 - weighted_mean_absolute_error: 0.5256 - val_loss: 0.3533 - val_mean_absolute_error: 0.4070 - val_weighted_mean_absolute_error: 0.5191\n",
            "\n",
            "Epoch 00716: val_loss did not improve from 0.35151\n",
            "Epoch 717/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3586 - mean_absolute_error: 0.4194 - weighted_mean_absolute_error: 0.5267 - val_loss: 0.3515 - val_mean_absolute_error: 0.4109 - val_weighted_mean_absolute_error: 0.5156\n",
            "\n",
            "Epoch 00717: val_loss improved from 0.35151 to 0.35148, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 718/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3572 - mean_absolute_error: 0.4188 - weighted_mean_absolute_error: 0.5270 - val_loss: 0.3518 - val_mean_absolute_error: 0.4231 - val_weighted_mean_absolute_error: 0.5158\n",
            "\n",
            "Epoch 00718: val_loss did not improve from 0.35148\n",
            "Epoch 719/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3602 - mean_absolute_error: 0.4284 - weighted_mean_absolute_error: 0.5268 - val_loss: 0.3529 - val_mean_absolute_error: 0.4115 - val_weighted_mean_absolute_error: 0.5174\n",
            "\n",
            "Epoch 00719: val_loss did not improve from 0.35148\n",
            "Epoch 720/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3610 - mean_absolute_error: 0.4300 - weighted_mean_absolute_error: 0.5256 - val_loss: 0.3514 - val_mean_absolute_error: 0.4156 - val_weighted_mean_absolute_error: 0.5161\n",
            "\n",
            "Epoch 00720: val_loss improved from 0.35148 to 0.35139, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 721/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3610 - mean_absolute_error: 0.4252 - weighted_mean_absolute_error: 0.5259 - val_loss: 0.3515 - val_mean_absolute_error: 0.4065 - val_weighted_mean_absolute_error: 0.5155\n",
            "\n",
            "Epoch 00721: val_loss did not improve from 0.35139\n",
            "Epoch 722/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3597 - mean_absolute_error: 0.4164 - weighted_mean_absolute_error: 0.5263 - val_loss: 0.3514 - val_mean_absolute_error: 0.4098 - val_weighted_mean_absolute_error: 0.5158\n",
            "\n",
            "Epoch 00722: val_loss did not improve from 0.35139\n",
            "Epoch 723/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3626 - mean_absolute_error: 0.4187 - weighted_mean_absolute_error: 0.5287 - val_loss: 0.3519 - val_mean_absolute_error: 0.4031 - val_weighted_mean_absolute_error: 0.5171\n",
            "\n",
            "Epoch 00723: val_loss did not improve from 0.35139\n",
            "Epoch 724/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3591 - mean_absolute_error: 0.4192 - weighted_mean_absolute_error: 0.5246 - val_loss: 0.3521 - val_mean_absolute_error: 0.4200 - val_weighted_mean_absolute_error: 0.5172\n",
            "\n",
            "Epoch 00724: val_loss did not improve from 0.35139\n",
            "Epoch 725/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3608 - mean_absolute_error: 0.4214 - weighted_mean_absolute_error: 0.5250 - val_loss: 0.3524 - val_mean_absolute_error: 0.4039 - val_weighted_mean_absolute_error: 0.5173\n",
            "\n",
            "Epoch 00725: val_loss did not improve from 0.35139\n",
            "Epoch 726/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3608 - mean_absolute_error: 0.4193 - weighted_mean_absolute_error: 0.5257 - val_loss: 0.3525 - val_mean_absolute_error: 0.4042 - val_weighted_mean_absolute_error: 0.5171\n",
            "\n",
            "Epoch 00726: val_loss did not improve from 0.35139\n",
            "Epoch 727/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3634 - mean_absolute_error: 0.4171 - weighted_mean_absolute_error: 0.5245 - val_loss: 0.3512 - val_mean_absolute_error: 0.4136 - val_weighted_mean_absolute_error: 0.5153\n",
            "\n",
            "Epoch 00727: val_loss improved from 0.35139 to 0.35123, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 728/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3611 - mean_absolute_error: 0.4199 - weighted_mean_absolute_error: 0.5262 - val_loss: 0.3523 - val_mean_absolute_error: 0.4093 - val_weighted_mean_absolute_error: 0.5160\n",
            "\n",
            "Epoch 00728: val_loss did not improve from 0.35123\n",
            "Epoch 729/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3582 - mean_absolute_error: 0.4205 - weighted_mean_absolute_error: 0.5254 - val_loss: 0.3516 - val_mean_absolute_error: 0.4095 - val_weighted_mean_absolute_error: 0.5169\n",
            "\n",
            "Epoch 00729: val_loss did not improve from 0.35123\n",
            "Epoch 730/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3592 - mean_absolute_error: 0.4193 - weighted_mean_absolute_error: 0.5239 - val_loss: 0.3518 - val_mean_absolute_error: 0.4191 - val_weighted_mean_absolute_error: 0.5172\n",
            "\n",
            "Epoch 00730: val_loss did not improve from 0.35123\n",
            "Epoch 731/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3617 - mean_absolute_error: 0.4225 - weighted_mean_absolute_error: 0.5231 - val_loss: 0.3520 - val_mean_absolute_error: 0.4188 - val_weighted_mean_absolute_error: 0.5160\n",
            "\n",
            "Epoch 00731: val_loss did not improve from 0.35123\n",
            "Epoch 732/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3622 - mean_absolute_error: 0.4175 - weighted_mean_absolute_error: 0.5245 - val_loss: 0.3513 - val_mean_absolute_error: 0.4180 - val_weighted_mean_absolute_error: 0.5160\n",
            "\n",
            "Epoch 00732: val_loss did not improve from 0.35123\n",
            "Epoch 733/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3621 - mean_absolute_error: 0.4222 - weighted_mean_absolute_error: 0.5266 - val_loss: 0.3506 - val_mean_absolute_error: 0.4201 - val_weighted_mean_absolute_error: 0.5152\n",
            "\n",
            "Epoch 00733: val_loss improved from 0.35123 to 0.35061, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 734/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3599 - mean_absolute_error: 0.4230 - weighted_mean_absolute_error: 0.5261 - val_loss: 0.3514 - val_mean_absolute_error: 0.4117 - val_weighted_mean_absolute_error: 0.5164\n",
            "\n",
            "Epoch 00734: val_loss did not improve from 0.35061\n",
            "Epoch 735/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3601 - mean_absolute_error: 0.4239 - weighted_mean_absolute_error: 0.5258 - val_loss: 0.3525 - val_mean_absolute_error: 0.4428 - val_weighted_mean_absolute_error: 0.5162\n",
            "\n",
            "Epoch 00735: val_loss did not improve from 0.35061\n",
            "Epoch 736/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3614 - mean_absolute_error: 0.4296 - weighted_mean_absolute_error: 0.5258 - val_loss: 0.3520 - val_mean_absolute_error: 0.4101 - val_weighted_mean_absolute_error: 0.5162\n",
            "\n",
            "Epoch 00736: val_loss did not improve from 0.35061\n",
            "Epoch 737/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3596 - mean_absolute_error: 0.4235 - weighted_mean_absolute_error: 0.5285 - val_loss: 0.3514 - val_mean_absolute_error: 0.4104 - val_weighted_mean_absolute_error: 0.5165\n",
            "\n",
            "Epoch 00737: val_loss did not improve from 0.35061\n",
            "Epoch 738/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3594 - mean_absolute_error: 0.4249 - weighted_mean_absolute_error: 0.5282 - val_loss: 0.3515 - val_mean_absolute_error: 0.4213 - val_weighted_mean_absolute_error: 0.5164\n",
            "\n",
            "Epoch 00738: val_loss did not improve from 0.35061\n",
            "Epoch 739/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3611 - mean_absolute_error: 0.4267 - weighted_mean_absolute_error: 0.5248 - val_loss: 0.3514 - val_mean_absolute_error: 0.4277 - val_weighted_mean_absolute_error: 0.5157\n",
            "\n",
            "Epoch 00739: val_loss did not improve from 0.35061\n",
            "Epoch 740/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3598 - mean_absolute_error: 0.4275 - weighted_mean_absolute_error: 0.5232 - val_loss: 0.3518 - val_mean_absolute_error: 0.4016 - val_weighted_mean_absolute_error: 0.5164\n",
            "\n",
            "Epoch 00740: val_loss did not improve from 0.35061\n",
            "Epoch 741/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3595 - mean_absolute_error: 0.4128 - weighted_mean_absolute_error: 0.5248 - val_loss: 0.3514 - val_mean_absolute_error: 0.4023 - val_weighted_mean_absolute_error: 0.5162\n",
            "\n",
            "Epoch 00741: val_loss did not improve from 0.35061\n",
            "Epoch 742/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3598 - mean_absolute_error: 0.4143 - weighted_mean_absolute_error: 0.5250 - val_loss: 0.3513 - val_mean_absolute_error: 0.4369 - val_weighted_mean_absolute_error: 0.5149\n",
            "\n",
            "Epoch 00742: val_loss did not improve from 0.35061\n",
            "Epoch 743/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3584 - mean_absolute_error: 0.4254 - weighted_mean_absolute_error: 0.5268 - val_loss: 0.3511 - val_mean_absolute_error: 0.4266 - val_weighted_mean_absolute_error: 0.5159\n",
            "\n",
            "Epoch 00743: val_loss did not improve from 0.35061\n",
            "Epoch 744/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3611 - mean_absolute_error: 0.4304 - weighted_mean_absolute_error: 0.5271 - val_loss: 0.3513 - val_mean_absolute_error: 0.4103 - val_weighted_mean_absolute_error: 0.5169\n",
            "\n",
            "Epoch 00744: val_loss did not improve from 0.35061\n",
            "Epoch 745/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3587 - mean_absolute_error: 0.4251 - weighted_mean_absolute_error: 0.5243 - val_loss: 0.3527 - val_mean_absolute_error: 0.4333 - val_weighted_mean_absolute_error: 0.5176\n",
            "\n",
            "Epoch 00745: val_loss did not improve from 0.35061\n",
            "Epoch 746/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3606 - mean_absolute_error: 0.4318 - weighted_mean_absolute_error: 0.5269 - val_loss: 0.3524 - val_mean_absolute_error: 0.4233 - val_weighted_mean_absolute_error: 0.5173\n",
            "\n",
            "Epoch 00746: val_loss did not improve from 0.35061\n",
            "Epoch 747/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3608 - mean_absolute_error: 0.4332 - weighted_mean_absolute_error: 0.5245 - val_loss: 0.3517 - val_mean_absolute_error: 0.4151 - val_weighted_mean_absolute_error: 0.5162\n",
            "\n",
            "Epoch 00747: val_loss did not improve from 0.35061\n",
            "Epoch 748/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3586 - mean_absolute_error: 0.4221 - weighted_mean_absolute_error: 0.5246 - val_loss: 0.3516 - val_mean_absolute_error: 0.4240 - val_weighted_mean_absolute_error: 0.5167\n",
            "\n",
            "Epoch 00748: val_loss did not improve from 0.35061\n",
            "Epoch 749/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3596 - mean_absolute_error: 0.4263 - weighted_mean_absolute_error: 0.5278 - val_loss: 0.3519 - val_mean_absolute_error: 0.4169 - val_weighted_mean_absolute_error: 0.5182\n",
            "\n",
            "Epoch 00749: val_loss did not improve from 0.35061\n",
            "Epoch 750/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3574 - mean_absolute_error: 0.4286 - weighted_mean_absolute_error: 0.5241 - val_loss: 0.3513 - val_mean_absolute_error: 0.4111 - val_weighted_mean_absolute_error: 0.5166\n",
            "\n",
            "Epoch 00750: val_loss did not improve from 0.35061\n",
            "Epoch 751/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3581 - mean_absolute_error: 0.4245 - weighted_mean_absolute_error: 0.5252 - val_loss: 0.3515 - val_mean_absolute_error: 0.4146 - val_weighted_mean_absolute_error: 0.5166\n",
            "\n",
            "Epoch 00751: val_loss did not improve from 0.35061\n",
            "Epoch 752/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3596 - mean_absolute_error: 0.4208 - weighted_mean_absolute_error: 0.5224 - val_loss: 0.3513 - val_mean_absolute_error: 0.4270 - val_weighted_mean_absolute_error: 0.5166\n",
            "\n",
            "Epoch 00752: val_loss did not improve from 0.35061\n",
            "Epoch 753/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3586 - mean_absolute_error: 0.4247 - weighted_mean_absolute_error: 0.5242 - val_loss: 0.3517 - val_mean_absolute_error: 0.4240 - val_weighted_mean_absolute_error: 0.5174\n",
            "\n",
            "Epoch 00753: val_loss did not improve from 0.35061\n",
            "Epoch 754/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3596 - mean_absolute_error: 0.4231 - weighted_mean_absolute_error: 0.5244 - val_loss: 0.3518 - val_mean_absolute_error: 0.4200 - val_weighted_mean_absolute_error: 0.5153\n",
            "\n",
            "Epoch 00754: val_loss did not improve from 0.35061\n",
            "Epoch 755/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3581 - mean_absolute_error: 0.4259 - weighted_mean_absolute_error: 0.5237 - val_loss: 0.3510 - val_mean_absolute_error: 0.4307 - val_weighted_mean_absolute_error: 0.5160\n",
            "\n",
            "Epoch 00755: val_loss did not improve from 0.35061\n",
            "Epoch 756/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3599 - mean_absolute_error: 0.4255 - weighted_mean_absolute_error: 0.5239 - val_loss: 0.3509 - val_mean_absolute_error: 0.4154 - val_weighted_mean_absolute_error: 0.5160\n",
            "\n",
            "Epoch 00756: val_loss did not improve from 0.35061\n",
            "Epoch 757/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3599 - mean_absolute_error: 0.4206 - weighted_mean_absolute_error: 0.5262 - val_loss: 0.3516 - val_mean_absolute_error: 0.4331 - val_weighted_mean_absolute_error: 0.5162\n",
            "\n",
            "Epoch 00757: val_loss did not improve from 0.35061\n",
            "Epoch 758/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3591 - mean_absolute_error: 0.4249 - weighted_mean_absolute_error: 0.5232 - val_loss: 0.3508 - val_mean_absolute_error: 0.4187 - val_weighted_mean_absolute_error: 0.5159\n",
            "\n",
            "Epoch 00758: val_loss did not improve from 0.35061\n",
            "Epoch 759/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3602 - mean_absolute_error: 0.4227 - weighted_mean_absolute_error: 0.5239 - val_loss: 0.3503 - val_mean_absolute_error: 0.4075 - val_weighted_mean_absolute_error: 0.5155\n",
            "\n",
            "Epoch 00759: val_loss improved from 0.35061 to 0.35033, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 760/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3567 - mean_absolute_error: 0.4186 - weighted_mean_absolute_error: 0.5235 - val_loss: 0.3506 - val_mean_absolute_error: 0.4213 - val_weighted_mean_absolute_error: 0.5161\n",
            "\n",
            "Epoch 00760: val_loss did not improve from 0.35033\n",
            "Epoch 761/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3608 - mean_absolute_error: 0.4207 - weighted_mean_absolute_error: 0.5250 - val_loss: 0.3509 - val_mean_absolute_error: 0.4285 - val_weighted_mean_absolute_error: 0.5152\n",
            "\n",
            "Epoch 00761: val_loss did not improve from 0.35033\n",
            "Epoch 762/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3619 - mean_absolute_error: 0.4246 - weighted_mean_absolute_error: 0.5245 - val_loss: 0.3514 - val_mean_absolute_error: 0.4084 - val_weighted_mean_absolute_error: 0.5163\n",
            "\n",
            "Epoch 00762: val_loss did not improve from 0.35033\n",
            "Epoch 763/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3610 - mean_absolute_error: 0.4248 - weighted_mean_absolute_error: 0.5272 - val_loss: 0.3513 - val_mean_absolute_error: 0.4226 - val_weighted_mean_absolute_error: 0.5151\n",
            "\n",
            "Epoch 00763: val_loss did not improve from 0.35033\n",
            "Epoch 764/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3592 - mean_absolute_error: 0.4191 - weighted_mean_absolute_error: 0.5267 - val_loss: 0.3507 - val_mean_absolute_error: 0.4216 - val_weighted_mean_absolute_error: 0.5150\n",
            "\n",
            "Epoch 00764: val_loss did not improve from 0.35033\n",
            "Epoch 765/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3588 - mean_absolute_error: 0.4246 - weighted_mean_absolute_error: 0.5254 - val_loss: 0.3519 - val_mean_absolute_error: 0.4238 - val_weighted_mean_absolute_error: 0.5170\n",
            "\n",
            "Epoch 00765: val_loss did not improve from 0.35033\n",
            "Epoch 766/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3576 - mean_absolute_error: 0.4298 - weighted_mean_absolute_error: 0.5246 - val_loss: 0.3505 - val_mean_absolute_error: 0.4231 - val_weighted_mean_absolute_error: 0.5154\n",
            "\n",
            "Epoch 00766: val_loss did not improve from 0.35033\n",
            "Epoch 767/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3578 - mean_absolute_error: 0.4284 - weighted_mean_absolute_error: 0.5246 - val_loss: 0.3506 - val_mean_absolute_error: 0.4176 - val_weighted_mean_absolute_error: 0.5158\n",
            "\n",
            "Epoch 00767: val_loss did not improve from 0.35033\n",
            "Epoch 768/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3602 - mean_absolute_error: 0.4293 - weighted_mean_absolute_error: 0.5227 - val_loss: 0.3514 - val_mean_absolute_error: 0.4237 - val_weighted_mean_absolute_error: 0.5159\n",
            "\n",
            "Epoch 00768: val_loss did not improve from 0.35033\n",
            "Epoch 769/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3587 - mean_absolute_error: 0.4283 - weighted_mean_absolute_error: 0.5256 - val_loss: 0.3514 - val_mean_absolute_error: 0.4266 - val_weighted_mean_absolute_error: 0.5162\n",
            "\n",
            "Epoch 00769: val_loss did not improve from 0.35033\n",
            "Epoch 770/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3623 - mean_absolute_error: 0.4291 - weighted_mean_absolute_error: 0.5244 - val_loss: 0.3517 - val_mean_absolute_error: 0.4068 - val_weighted_mean_absolute_error: 0.5166\n",
            "\n",
            "Epoch 00770: val_loss did not improve from 0.35033\n",
            "Epoch 771/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3596 - mean_absolute_error: 0.4202 - weighted_mean_absolute_error: 0.5229 - val_loss: 0.3516 - val_mean_absolute_error: 0.4068 - val_weighted_mean_absolute_error: 0.5166\n",
            "\n",
            "Epoch 00771: val_loss did not improve from 0.35033\n",
            "Epoch 772/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3604 - mean_absolute_error: 0.4270 - weighted_mean_absolute_error: 0.5268 - val_loss: 0.3511 - val_mean_absolute_error: 0.4130 - val_weighted_mean_absolute_error: 0.5158\n",
            "\n",
            "Epoch 00772: val_loss did not improve from 0.35033\n",
            "Epoch 773/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3576 - mean_absolute_error: 0.4226 - weighted_mean_absolute_error: 0.5248 - val_loss: 0.3516 - val_mean_absolute_error: 0.4181 - val_weighted_mean_absolute_error: 0.5169\n",
            "\n",
            "Epoch 00773: val_loss did not improve from 0.35033\n",
            "Epoch 774/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3601 - mean_absolute_error: 0.4321 - weighted_mean_absolute_error: 0.5260 - val_loss: 0.3505 - val_mean_absolute_error: 0.4243 - val_weighted_mean_absolute_error: 0.5163\n",
            "\n",
            "Epoch 00774: val_loss did not improve from 0.35033\n",
            "Epoch 775/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3564 - mean_absolute_error: 0.4277 - weighted_mean_absolute_error: 0.5237 - val_loss: 0.3501 - val_mean_absolute_error: 0.4254 - val_weighted_mean_absolute_error: 0.5144\n",
            "\n",
            "Epoch 00775: val_loss improved from 0.35033 to 0.35012, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 776/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3583 - mean_absolute_error: 0.4240 - weighted_mean_absolute_error: 0.5256 - val_loss: 0.3507 - val_mean_absolute_error: 0.4048 - val_weighted_mean_absolute_error: 0.5150\n",
            "\n",
            "Epoch 00776: val_loss did not improve from 0.35012\n",
            "Epoch 777/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3586 - mean_absolute_error: 0.4164 - weighted_mean_absolute_error: 0.5248 - val_loss: 0.3513 - val_mean_absolute_error: 0.4061 - val_weighted_mean_absolute_error: 0.5166\n",
            "\n",
            "Epoch 00777: val_loss did not improve from 0.35012\n",
            "Epoch 778/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3592 - mean_absolute_error: 0.4186 - weighted_mean_absolute_error: 0.5250 - val_loss: 0.3513 - val_mean_absolute_error: 0.4202 - val_weighted_mean_absolute_error: 0.5165\n",
            "\n",
            "Epoch 00778: val_loss did not improve from 0.35012\n",
            "Epoch 779/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3586 - mean_absolute_error: 0.4204 - weighted_mean_absolute_error: 0.5256 - val_loss: 0.3507 - val_mean_absolute_error: 0.4236 - val_weighted_mean_absolute_error: 0.5157\n",
            "\n",
            "Epoch 00779: val_loss did not improve from 0.35012\n",
            "Epoch 780/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3581 - mean_absolute_error: 0.4273 - weighted_mean_absolute_error: 0.5242 - val_loss: 0.3513 - val_mean_absolute_error: 0.4039 - val_weighted_mean_absolute_error: 0.5167\n",
            "\n",
            "Epoch 00780: val_loss did not improve from 0.35012\n",
            "Epoch 781/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3612 - mean_absolute_error: 0.4182 - weighted_mean_absolute_error: 0.5253 - val_loss: 0.3504 - val_mean_absolute_error: 0.4303 - val_weighted_mean_absolute_error: 0.5144\n",
            "\n",
            "Epoch 00781: val_loss did not improve from 0.35012\n",
            "Epoch 782/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3587 - mean_absolute_error: 0.4254 - weighted_mean_absolute_error: 0.5236 - val_loss: 0.3509 - val_mean_absolute_error: 0.4109 - val_weighted_mean_absolute_error: 0.5156\n",
            "\n",
            "Epoch 00782: val_loss did not improve from 0.35012\n",
            "Epoch 783/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3601 - mean_absolute_error: 0.4223 - weighted_mean_absolute_error: 0.5232 - val_loss: 0.3504 - val_mean_absolute_error: 0.4234 - val_weighted_mean_absolute_error: 0.5154\n",
            "\n",
            "Epoch 00783: val_loss did not improve from 0.35012\n",
            "Epoch 784/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3619 - mean_absolute_error: 0.4320 - weighted_mean_absolute_error: 0.5255 - val_loss: 0.3505 - val_mean_absolute_error: 0.4191 - val_weighted_mean_absolute_error: 0.5158\n",
            "\n",
            "Epoch 00784: val_loss did not improve from 0.35012\n",
            "Epoch 785/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3602 - mean_absolute_error: 0.4276 - weighted_mean_absolute_error: 0.5252 - val_loss: 0.3507 - val_mean_absolute_error: 0.4201 - val_weighted_mean_absolute_error: 0.5156\n",
            "\n",
            "Epoch 00785: val_loss did not improve from 0.35012\n",
            "Epoch 786/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3629 - mean_absolute_error: 0.4329 - weighted_mean_absolute_error: 0.5279 - val_loss: 0.3513 - val_mean_absolute_error: 0.4154 - val_weighted_mean_absolute_error: 0.5166\n",
            "\n",
            "Epoch 00786: val_loss did not improve from 0.35012\n",
            "Epoch 787/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3612 - mean_absolute_error: 0.4274 - weighted_mean_absolute_error: 0.5285 - val_loss: 0.3500 - val_mean_absolute_error: 0.4140 - val_weighted_mean_absolute_error: 0.5150\n",
            "\n",
            "Epoch 00787: val_loss improved from 0.35012 to 0.35000, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 788/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3590 - mean_absolute_error: 0.4244 - weighted_mean_absolute_error: 0.5266 - val_loss: 0.3514 - val_mean_absolute_error: 0.4214 - val_weighted_mean_absolute_error: 0.5172\n",
            "\n",
            "Epoch 00788: val_loss did not improve from 0.35000\n",
            "Epoch 789/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3613 - mean_absolute_error: 0.4297 - weighted_mean_absolute_error: 0.5231 - val_loss: 0.3500 - val_mean_absolute_error: 0.4336 - val_weighted_mean_absolute_error: 0.5149\n",
            "\n",
            "Epoch 00789: val_loss improved from 0.35000 to 0.34997, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 790/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3568 - mean_absolute_error: 0.4314 - weighted_mean_absolute_error: 0.5218 - val_loss: 0.3510 - val_mean_absolute_error: 0.4318 - val_weighted_mean_absolute_error: 0.5170\n",
            "\n",
            "Epoch 00790: val_loss did not improve from 0.34997\n",
            "Epoch 791/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3612 - mean_absolute_error: 0.4317 - weighted_mean_absolute_error: 0.5242 - val_loss: 0.3504 - val_mean_absolute_error: 0.4297 - val_weighted_mean_absolute_error: 0.5149\n",
            "\n",
            "Epoch 00791: val_loss did not improve from 0.34997\n",
            "Epoch 792/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3589 - mean_absolute_error: 0.4319 - weighted_mean_absolute_error: 0.5229 - val_loss: 0.3498 - val_mean_absolute_error: 0.4233 - val_weighted_mean_absolute_error: 0.5146\n",
            "\n",
            "Epoch 00792: val_loss improved from 0.34997 to 0.34976, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 793/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3599 - mean_absolute_error: 0.4370 - weighted_mean_absolute_error: 0.5242 - val_loss: 0.3512 - val_mean_absolute_error: 0.4159 - val_weighted_mean_absolute_error: 0.5158\n",
            "\n",
            "Epoch 00793: val_loss did not improve from 0.34976\n",
            "Epoch 794/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3600 - mean_absolute_error: 0.4287 - weighted_mean_absolute_error: 0.5228 - val_loss: 0.3505 - val_mean_absolute_error: 0.4279 - val_weighted_mean_absolute_error: 0.5161\n",
            "\n",
            "Epoch 00794: val_loss did not improve from 0.34976\n",
            "Epoch 795/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3616 - mean_absolute_error: 0.4335 - weighted_mean_absolute_error: 0.5259 - val_loss: 0.3501 - val_mean_absolute_error: 0.4212 - val_weighted_mean_absolute_error: 0.5148\n",
            "\n",
            "Epoch 00795: val_loss did not improve from 0.34976\n",
            "Epoch 796/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3593 - mean_absolute_error: 0.4292 - weighted_mean_absolute_error: 0.5270 - val_loss: 0.3504 - val_mean_absolute_error: 0.4165 - val_weighted_mean_absolute_error: 0.5156\n",
            "\n",
            "Epoch 00796: val_loss did not improve from 0.34976\n",
            "Epoch 797/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3589 - mean_absolute_error: 0.4334 - weighted_mean_absolute_error: 0.5260 - val_loss: 0.3512 - val_mean_absolute_error: 0.4265 - val_weighted_mean_absolute_error: 0.5170\n",
            "\n",
            "Epoch 00797: val_loss did not improve from 0.34976\n",
            "Epoch 798/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3587 - mean_absolute_error: 0.4313 - weighted_mean_absolute_error: 0.5257 - val_loss: 0.3504 - val_mean_absolute_error: 0.4176 - val_weighted_mean_absolute_error: 0.5151\n",
            "\n",
            "Epoch 00798: val_loss did not improve from 0.34976\n",
            "Epoch 799/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3589 - mean_absolute_error: 0.4265 - weighted_mean_absolute_error: 0.5243 - val_loss: 0.3501 - val_mean_absolute_error: 0.4322 - val_weighted_mean_absolute_error: 0.5153\n",
            "\n",
            "Epoch 00799: val_loss did not improve from 0.34976\n",
            "Epoch 800/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3612 - mean_absolute_error: 0.4351 - weighted_mean_absolute_error: 0.5262 - val_loss: 0.3506 - val_mean_absolute_error: 0.4262 - val_weighted_mean_absolute_error: 0.5158\n",
            "\n",
            "Epoch 00800: val_loss did not improve from 0.34976\n",
            "Epoch 801/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3593 - mean_absolute_error: 0.4304 - weighted_mean_absolute_error: 0.5244 - val_loss: 0.3515 - val_mean_absolute_error: 0.4230 - val_weighted_mean_absolute_error: 0.5170\n",
            "\n",
            "Epoch 00801: val_loss did not improve from 0.34976\n",
            "Epoch 802/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3567 - mean_absolute_error: 0.4276 - weighted_mean_absolute_error: 0.5252 - val_loss: 0.3517 - val_mean_absolute_error: 0.4259 - val_weighted_mean_absolute_error: 0.5173\n",
            "\n",
            "Epoch 00802: val_loss did not improve from 0.34976\n",
            "Epoch 803/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3591 - mean_absolute_error: 0.4361 - weighted_mean_absolute_error: 0.5244 - val_loss: 0.3503 - val_mean_absolute_error: 0.4322 - val_weighted_mean_absolute_error: 0.5153\n",
            "\n",
            "Epoch 00803: val_loss did not improve from 0.34976\n",
            "Epoch 804/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3613 - mean_absolute_error: 0.4338 - weighted_mean_absolute_error: 0.5239 - val_loss: 0.3517 - val_mean_absolute_error: 0.4432 - val_weighted_mean_absolute_error: 0.5173\n",
            "\n",
            "Epoch 00804: val_loss did not improve from 0.34976\n",
            "Epoch 805/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3637 - mean_absolute_error: 0.4357 - weighted_mean_absolute_error: 0.5236 - val_loss: 0.3502 - val_mean_absolute_error: 0.4320 - val_weighted_mean_absolute_error: 0.5156\n",
            "\n",
            "Epoch 00805: val_loss did not improve from 0.34976\n",
            "Epoch 806/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3595 - mean_absolute_error: 0.4315 - weighted_mean_absolute_error: 0.5228 - val_loss: 0.3509 - val_mean_absolute_error: 0.4210 - val_weighted_mean_absolute_error: 0.5158\n",
            "\n",
            "Epoch 00806: val_loss did not improve from 0.34976\n",
            "Epoch 807/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3584 - mean_absolute_error: 0.4305 - weighted_mean_absolute_error: 0.5240 - val_loss: 0.3503 - val_mean_absolute_error: 0.4317 - val_weighted_mean_absolute_error: 0.5150\n",
            "\n",
            "Epoch 00807: val_loss did not improve from 0.34976\n",
            "Epoch 808/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3591 - mean_absolute_error: 0.4270 - weighted_mean_absolute_error: 0.5266 - val_loss: 0.3503 - val_mean_absolute_error: 0.4266 - val_weighted_mean_absolute_error: 0.5156\n",
            "\n",
            "Epoch 00808: val_loss did not improve from 0.34976\n",
            "Epoch 809/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3588 - mean_absolute_error: 0.4325 - weighted_mean_absolute_error: 0.5270 - val_loss: 0.3504 - val_mean_absolute_error: 0.4230 - val_weighted_mean_absolute_error: 0.5154\n",
            "\n",
            "Epoch 00809: val_loss did not improve from 0.34976\n",
            "Epoch 810/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3589 - mean_absolute_error: 0.4353 - weighted_mean_absolute_error: 0.5255 - val_loss: 0.3517 - val_mean_absolute_error: 0.4396 - val_weighted_mean_absolute_error: 0.5170\n",
            "\n",
            "Epoch 00810: val_loss did not improve from 0.34976\n",
            "Epoch 811/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3615 - mean_absolute_error: 0.4363 - weighted_mean_absolute_error: 0.5234 - val_loss: 0.3504 - val_mean_absolute_error: 0.4318 - val_weighted_mean_absolute_error: 0.5155\n",
            "\n",
            "Epoch 00811: val_loss did not improve from 0.34976\n",
            "Epoch 812/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3608 - mean_absolute_error: 0.4313 - weighted_mean_absolute_error: 0.5246 - val_loss: 0.3515 - val_mean_absolute_error: 0.4198 - val_weighted_mean_absolute_error: 0.5161\n",
            "\n",
            "Epoch 00812: val_loss did not improve from 0.34976\n",
            "Epoch 813/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3574 - mean_absolute_error: 0.4268 - weighted_mean_absolute_error: 0.5219 - val_loss: 0.3514 - val_mean_absolute_error: 0.4203 - val_weighted_mean_absolute_error: 0.5170\n",
            "\n",
            "Epoch 00813: val_loss did not improve from 0.34976\n",
            "Epoch 814/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3580 - mean_absolute_error: 0.4276 - weighted_mean_absolute_error: 0.5241 - val_loss: 0.3504 - val_mean_absolute_error: 0.4303 - val_weighted_mean_absolute_error: 0.5159\n",
            "\n",
            "Epoch 00814: val_loss did not improve from 0.34976\n",
            "Epoch 815/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3581 - mean_absolute_error: 0.4321 - weighted_mean_absolute_error: 0.5230 - val_loss: 0.3498 - val_mean_absolute_error: 0.4298 - val_weighted_mean_absolute_error: 0.5144\n",
            "\n",
            "Epoch 00815: val_loss did not improve from 0.34976\n",
            "Epoch 816/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3579 - mean_absolute_error: 0.4262 - weighted_mean_absolute_error: 0.5241 - val_loss: 0.3500 - val_mean_absolute_error: 0.4151 - val_weighted_mean_absolute_error: 0.5152\n",
            "\n",
            "Epoch 00816: val_loss did not improve from 0.34976\n",
            "Epoch 817/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3577 - mean_absolute_error: 0.4238 - weighted_mean_absolute_error: 0.5233 - val_loss: 0.3501 - val_mean_absolute_error: 0.4210 - val_weighted_mean_absolute_error: 0.5149\n",
            "\n",
            "Epoch 00817: val_loss did not improve from 0.34976\n",
            "Epoch 818/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3595 - mean_absolute_error: 0.4293 - weighted_mean_absolute_error: 0.5229 - val_loss: 0.3498 - val_mean_absolute_error: 0.4286 - val_weighted_mean_absolute_error: 0.5148\n",
            "\n",
            "Epoch 00818: val_loss did not improve from 0.34976\n",
            "Epoch 819/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3607 - mean_absolute_error: 0.4261 - weighted_mean_absolute_error: 0.5234 - val_loss: 0.3504 - val_mean_absolute_error: 0.4294 - val_weighted_mean_absolute_error: 0.5155\n",
            "\n",
            "Epoch 00819: val_loss did not improve from 0.34976\n",
            "Epoch 820/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3569 - mean_absolute_error: 0.4273 - weighted_mean_absolute_error: 0.5228 - val_loss: 0.3498 - val_mean_absolute_error: 0.4211 - val_weighted_mean_absolute_error: 0.5153\n",
            "\n",
            "Epoch 00820: val_loss did not improve from 0.34976\n",
            "Epoch 821/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3602 - mean_absolute_error: 0.4283 - weighted_mean_absolute_error: 0.5247 - val_loss: 0.3503 - val_mean_absolute_error: 0.4267 - val_weighted_mean_absolute_error: 0.5153\n",
            "\n",
            "Epoch 00821: val_loss did not improve from 0.34976\n",
            "Epoch 822/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3596 - mean_absolute_error: 0.4278 - weighted_mean_absolute_error: 0.5224 - val_loss: 0.3504 - val_mean_absolute_error: 0.4214 - val_weighted_mean_absolute_error: 0.5148\n",
            "\n",
            "Epoch 00822: val_loss did not improve from 0.34976\n",
            "Epoch 823/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3612 - mean_absolute_error: 0.4320 - weighted_mean_absolute_error: 0.5231 - val_loss: 0.3496 - val_mean_absolute_error: 0.4274 - val_weighted_mean_absolute_error: 0.5146\n",
            "\n",
            "Epoch 00823: val_loss improved from 0.34976 to 0.34957, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 824/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3591 - mean_absolute_error: 0.4304 - weighted_mean_absolute_error: 0.5267 - val_loss: 0.3513 - val_mean_absolute_error: 0.4234 - val_weighted_mean_absolute_error: 0.5169\n",
            "\n",
            "Epoch 00824: val_loss did not improve from 0.34957\n",
            "Epoch 825/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3582 - mean_absolute_error: 0.4281 - weighted_mean_absolute_error: 0.5202 - val_loss: 0.3507 - val_mean_absolute_error: 0.4302 - val_weighted_mean_absolute_error: 0.5158\n",
            "\n",
            "Epoch 00825: val_loss did not improve from 0.34957\n",
            "Epoch 826/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3576 - mean_absolute_error: 0.4305 - weighted_mean_absolute_error: 0.5246 - val_loss: 0.3501 - val_mean_absolute_error: 0.4214 - val_weighted_mean_absolute_error: 0.5157\n",
            "\n",
            "Epoch 00826: val_loss did not improve from 0.34957\n",
            "Epoch 827/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3591 - mean_absolute_error: 0.4318 - weighted_mean_absolute_error: 0.5241 - val_loss: 0.3497 - val_mean_absolute_error: 0.4265 - val_weighted_mean_absolute_error: 0.5143\n",
            "\n",
            "Epoch 00827: val_loss did not improve from 0.34957\n",
            "Epoch 828/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3584 - mean_absolute_error: 0.4244 - weighted_mean_absolute_error: 0.5225 - val_loss: 0.3500 - val_mean_absolute_error: 0.4184 - val_weighted_mean_absolute_error: 0.5151\n",
            "\n",
            "Epoch 00828: val_loss did not improve from 0.34957\n",
            "Epoch 829/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3627 - mean_absolute_error: 0.4261 - weighted_mean_absolute_error: 0.5248 - val_loss: 0.3501 - val_mean_absolute_error: 0.4325 - val_weighted_mean_absolute_error: 0.5143\n",
            "\n",
            "Epoch 00829: val_loss did not improve from 0.34957\n",
            "Epoch 830/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3583 - mean_absolute_error: 0.4372 - weighted_mean_absolute_error: 0.5219 - val_loss: 0.3505 - val_mean_absolute_error: 0.4375 - val_weighted_mean_absolute_error: 0.5154\n",
            "\n",
            "Epoch 00830: val_loss did not improve from 0.34957\n",
            "Epoch 831/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3575 - mean_absolute_error: 0.4360 - weighted_mean_absolute_error: 0.5251 - val_loss: 0.3512 - val_mean_absolute_error: 0.4157 - val_weighted_mean_absolute_error: 0.5168\n",
            "\n",
            "Epoch 00831: val_loss did not improve from 0.34957\n",
            "Epoch 832/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3580 - mean_absolute_error: 0.4285 - weighted_mean_absolute_error: 0.5247 - val_loss: 0.3495 - val_mean_absolute_error: 0.4243 - val_weighted_mean_absolute_error: 0.5148\n",
            "\n",
            "Epoch 00832: val_loss improved from 0.34957 to 0.34949, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 833/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3563 - mean_absolute_error: 0.4313 - weighted_mean_absolute_error: 0.5243 - val_loss: 0.3503 - val_mean_absolute_error: 0.4091 - val_weighted_mean_absolute_error: 0.5161\n",
            "\n",
            "Epoch 00833: val_loss did not improve from 0.34949\n",
            "Epoch 834/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3591 - mean_absolute_error: 0.4303 - weighted_mean_absolute_error: 0.5247 - val_loss: 0.3498 - val_mean_absolute_error: 0.4236 - val_weighted_mean_absolute_error: 0.5151\n",
            "\n",
            "Epoch 00834: val_loss did not improve from 0.34949\n",
            "Epoch 835/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3596 - mean_absolute_error: 0.4332 - weighted_mean_absolute_error: 0.5239 - val_loss: 0.3502 - val_mean_absolute_error: 0.4307 - val_weighted_mean_absolute_error: 0.5156\n",
            "\n",
            "Epoch 00835: val_loss did not improve from 0.34949\n",
            "Epoch 836/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3577 - mean_absolute_error: 0.4331 - weighted_mean_absolute_error: 0.5252 - val_loss: 0.3498 - val_mean_absolute_error: 0.4325 - val_weighted_mean_absolute_error: 0.5147\n",
            "\n",
            "Epoch 00836: val_loss did not improve from 0.34949\n",
            "Epoch 837/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3594 - mean_absolute_error: 0.4331 - weighted_mean_absolute_error: 0.5247 - val_loss: 0.3501 - val_mean_absolute_error: 0.4225 - val_weighted_mean_absolute_error: 0.5152\n",
            "\n",
            "Epoch 00837: val_loss did not improve from 0.34949\n",
            "Epoch 838/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3601 - mean_absolute_error: 0.4384 - weighted_mean_absolute_error: 0.5222 - val_loss: 0.3503 - val_mean_absolute_error: 0.4401 - val_weighted_mean_absolute_error: 0.5159\n",
            "\n",
            "Epoch 00838: val_loss did not improve from 0.34949\n",
            "Epoch 839/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3578 - mean_absolute_error: 0.4427 - weighted_mean_absolute_error: 0.5224 - val_loss: 0.3504 - val_mean_absolute_error: 0.4197 - val_weighted_mean_absolute_error: 0.5156\n",
            "\n",
            "Epoch 00839: val_loss did not improve from 0.34949\n",
            "Epoch 840/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3603 - mean_absolute_error: 0.4362 - weighted_mean_absolute_error: 0.5240 - val_loss: 0.3496 - val_mean_absolute_error: 0.4348 - val_weighted_mean_absolute_error: 0.5145\n",
            "\n",
            "Epoch 00840: val_loss did not improve from 0.34949\n",
            "Epoch 841/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3547 - mean_absolute_error: 0.4379 - weighted_mean_absolute_error: 0.5215 - val_loss: 0.3493 - val_mean_absolute_error: 0.4396 - val_weighted_mean_absolute_error: 0.5141\n",
            "\n",
            "Epoch 00841: val_loss improved from 0.34949 to 0.34930, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 842/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3566 - mean_absolute_error: 0.4411 - weighted_mean_absolute_error: 0.5226 - val_loss: 0.3497 - val_mean_absolute_error: 0.4263 - val_weighted_mean_absolute_error: 0.5150\n",
            "\n",
            "Epoch 00842: val_loss did not improve from 0.34930\n",
            "Epoch 843/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3562 - mean_absolute_error: 0.4359 - weighted_mean_absolute_error: 0.5247 - val_loss: 0.3505 - val_mean_absolute_error: 0.4487 - val_weighted_mean_absolute_error: 0.5161\n",
            "\n",
            "Epoch 00843: val_loss did not improve from 0.34930\n",
            "Epoch 844/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3567 - mean_absolute_error: 0.4415 - weighted_mean_absolute_error: 0.5214 - val_loss: 0.3505 - val_mean_absolute_error: 0.4361 - val_weighted_mean_absolute_error: 0.5149\n",
            "\n",
            "Epoch 00844: val_loss did not improve from 0.34930\n",
            "Epoch 845/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3571 - mean_absolute_error: 0.4445 - weighted_mean_absolute_error: 0.5234 - val_loss: 0.3499 - val_mean_absolute_error: 0.4385 - val_weighted_mean_absolute_error: 0.5154\n",
            "\n",
            "Epoch 00845: val_loss did not improve from 0.34930\n",
            "Epoch 846/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3587 - mean_absolute_error: 0.4420 - weighted_mean_absolute_error: 0.5247 - val_loss: 0.3500 - val_mean_absolute_error: 0.4451 - val_weighted_mean_absolute_error: 0.5154\n",
            "\n",
            "Epoch 00846: val_loss did not improve from 0.34930\n",
            "Epoch 847/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3575 - mean_absolute_error: 0.4496 - weighted_mean_absolute_error: 0.5212 - val_loss: 0.3501 - val_mean_absolute_error: 0.4506 - val_weighted_mean_absolute_error: 0.5151\n",
            "\n",
            "Epoch 00847: val_loss did not improve from 0.34930\n",
            "Epoch 848/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3574 - mean_absolute_error: 0.4487 - weighted_mean_absolute_error: 0.5221 - val_loss: 0.3502 - val_mean_absolute_error: 0.4358 - val_weighted_mean_absolute_error: 0.5150\n",
            "\n",
            "Epoch 00848: val_loss did not improve from 0.34930\n",
            "Epoch 849/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3588 - mean_absolute_error: 0.4426 - weighted_mean_absolute_error: 0.5240 - val_loss: 0.3497 - val_mean_absolute_error: 0.4261 - val_weighted_mean_absolute_error: 0.5154\n",
            "\n",
            "Epoch 00849: val_loss did not improve from 0.34930\n",
            "Epoch 850/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3583 - mean_absolute_error: 0.4351 - weighted_mean_absolute_error: 0.5237 - val_loss: 0.3508 - val_mean_absolute_error: 0.4247 - val_weighted_mean_absolute_error: 0.5174\n",
            "\n",
            "Epoch 00850: val_loss did not improve from 0.34930\n",
            "Epoch 851/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3596 - mean_absolute_error: 0.4389 - weighted_mean_absolute_error: 0.5249 - val_loss: 0.3493 - val_mean_absolute_error: 0.4344 - val_weighted_mean_absolute_error: 0.5142\n",
            "\n",
            "Epoch 00851: val_loss improved from 0.34930 to 0.34926, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 852/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3574 - mean_absolute_error: 0.4356 - weighted_mean_absolute_error: 0.5255 - val_loss: 0.3493 - val_mean_absolute_error: 0.4346 - val_weighted_mean_absolute_error: 0.5148\n",
            "\n",
            "Epoch 00852: val_loss did not improve from 0.34926\n",
            "Epoch 853/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3576 - mean_absolute_error: 0.4336 - weighted_mean_absolute_error: 0.5238 - val_loss: 0.3495 - val_mean_absolute_error: 0.4396 - val_weighted_mean_absolute_error: 0.5144\n",
            "\n",
            "Epoch 00853: val_loss did not improve from 0.34926\n",
            "Epoch 854/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3581 - mean_absolute_error: 0.4393 - weighted_mean_absolute_error: 0.5248 - val_loss: 0.3491 - val_mean_absolute_error: 0.4393 - val_weighted_mean_absolute_error: 0.5141\n",
            "\n",
            "Epoch 00854: val_loss improved from 0.34926 to 0.34914, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 855/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3601 - mean_absolute_error: 0.4381 - weighted_mean_absolute_error: 0.5257 - val_loss: 0.3497 - val_mean_absolute_error: 0.4376 - val_weighted_mean_absolute_error: 0.5147\n",
            "\n",
            "Epoch 00855: val_loss did not improve from 0.34914\n",
            "Epoch 856/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3570 - mean_absolute_error: 0.4380 - weighted_mean_absolute_error: 0.5241 - val_loss: 0.3498 - val_mean_absolute_error: 0.4297 - val_weighted_mean_absolute_error: 0.5156\n",
            "\n",
            "Epoch 00856: val_loss did not improve from 0.34914\n",
            "Epoch 857/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3582 - mean_absolute_error: 0.4428 - weighted_mean_absolute_error: 0.5247 - val_loss: 0.3498 - val_mean_absolute_error: 0.4343 - val_weighted_mean_absolute_error: 0.5150\n",
            "\n",
            "Epoch 00857: val_loss did not improve from 0.34914\n",
            "Epoch 858/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3573 - mean_absolute_error: 0.4425 - weighted_mean_absolute_error: 0.5279 - val_loss: 0.3502 - val_mean_absolute_error: 0.4227 - val_weighted_mean_absolute_error: 0.5160\n",
            "\n",
            "Epoch 00858: val_loss did not improve from 0.34914\n",
            "Epoch 859/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3560 - mean_absolute_error: 0.4432 - weighted_mean_absolute_error: 0.5263 - val_loss: 0.3495 - val_mean_absolute_error: 0.4350 - val_weighted_mean_absolute_error: 0.5140\n",
            "\n",
            "Epoch 00859: val_loss did not improve from 0.34914\n",
            "Epoch 860/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3584 - mean_absolute_error: 0.4350 - weighted_mean_absolute_error: 0.5174 - val_loss: 0.3501 - val_mean_absolute_error: 0.4217 - val_weighted_mean_absolute_error: 0.5152\n",
            "\n",
            "Epoch 00860: val_loss did not improve from 0.34914\n",
            "Epoch 861/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3589 - mean_absolute_error: 0.4317 - weighted_mean_absolute_error: 0.5234 - val_loss: 0.3499 - val_mean_absolute_error: 0.4290 - val_weighted_mean_absolute_error: 0.5153\n",
            "\n",
            "Epoch 00861: val_loss did not improve from 0.34914\n",
            "Epoch 862/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3582 - mean_absolute_error: 0.4302 - weighted_mean_absolute_error: 0.5239 - val_loss: 0.3493 - val_mean_absolute_error: 0.4439 - val_weighted_mean_absolute_error: 0.5144\n",
            "\n",
            "Epoch 00862: val_loss did not improve from 0.34914\n",
            "Epoch 863/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3548 - mean_absolute_error: 0.4392 - weighted_mean_absolute_error: 0.5213 - val_loss: 0.3496 - val_mean_absolute_error: 0.4511 - val_weighted_mean_absolute_error: 0.5144\n",
            "\n",
            "Epoch 00863: val_loss did not improve from 0.34914\n",
            "Epoch 864/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3584 - mean_absolute_error: 0.4445 - weighted_mean_absolute_error: 0.5232 - val_loss: 0.3496 - val_mean_absolute_error: 0.4312 - val_weighted_mean_absolute_error: 0.5148\n",
            "\n",
            "Epoch 00864: val_loss did not improve from 0.34914\n",
            "Epoch 865/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3584 - mean_absolute_error: 0.4412 - weighted_mean_absolute_error: 0.5252 - val_loss: 0.3494 - val_mean_absolute_error: 0.4331 - val_weighted_mean_absolute_error: 0.5154\n",
            "\n",
            "Epoch 00865: val_loss did not improve from 0.34914\n",
            "Epoch 866/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3563 - mean_absolute_error: 0.4413 - weighted_mean_absolute_error: 0.5234 - val_loss: 0.3492 - val_mean_absolute_error: 0.4447 - val_weighted_mean_absolute_error: 0.5143\n",
            "\n",
            "Epoch 00866: val_loss did not improve from 0.34914\n",
            "Epoch 867/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3592 - mean_absolute_error: 0.4438 - weighted_mean_absolute_error: 0.5253 - val_loss: 0.3504 - val_mean_absolute_error: 0.4472 - val_weighted_mean_absolute_error: 0.5154\n",
            "\n",
            "Epoch 00867: val_loss did not improve from 0.34914\n",
            "Epoch 868/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3573 - mean_absolute_error: 0.4470 - weighted_mean_absolute_error: 0.5243 - val_loss: 0.3496 - val_mean_absolute_error: 0.4231 - val_weighted_mean_absolute_error: 0.5150\n",
            "\n",
            "Epoch 00868: val_loss did not improve from 0.34914\n",
            "Epoch 869/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3582 - mean_absolute_error: 0.4357 - weighted_mean_absolute_error: 0.5237 - val_loss: 0.3494 - val_mean_absolute_error: 0.4296 - val_weighted_mean_absolute_error: 0.5151\n",
            "\n",
            "Epoch 00869: val_loss did not improve from 0.34914\n",
            "Epoch 870/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3569 - mean_absolute_error: 0.4343 - weighted_mean_absolute_error: 0.5239 - val_loss: 0.3491 - val_mean_absolute_error: 0.4264 - val_weighted_mean_absolute_error: 0.5129\n",
            "\n",
            "Epoch 00870: val_loss improved from 0.34914 to 0.34907, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 871/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3546 - mean_absolute_error: 0.4333 - weighted_mean_absolute_error: 0.5262 - val_loss: 0.3492 - val_mean_absolute_error: 0.4321 - val_weighted_mean_absolute_error: 0.5152\n",
            "\n",
            "Epoch 00871: val_loss did not improve from 0.34907\n",
            "Epoch 872/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3554 - mean_absolute_error: 0.4401 - weighted_mean_absolute_error: 0.5231 - val_loss: 0.3497 - val_mean_absolute_error: 0.4345 - val_weighted_mean_absolute_error: 0.5152\n",
            "\n",
            "Epoch 00872: val_loss did not improve from 0.34907\n",
            "Epoch 873/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3573 - mean_absolute_error: 0.4389 - weighted_mean_absolute_error: 0.5220 - val_loss: 0.3497 - val_mean_absolute_error: 0.4316 - val_weighted_mean_absolute_error: 0.5147\n",
            "\n",
            "Epoch 00873: val_loss did not improve from 0.34907\n",
            "Epoch 874/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3589 - mean_absolute_error: 0.4384 - weighted_mean_absolute_error: 0.5241 - val_loss: 0.3493 - val_mean_absolute_error: 0.4278 - val_weighted_mean_absolute_error: 0.5135\n",
            "\n",
            "Epoch 00874: val_loss did not improve from 0.34907\n",
            "Epoch 875/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3580 - mean_absolute_error: 0.4363 - weighted_mean_absolute_error: 0.5233 - val_loss: 0.3493 - val_mean_absolute_error: 0.4281 - val_weighted_mean_absolute_error: 0.5139\n",
            "\n",
            "Epoch 00875: val_loss did not improve from 0.34907\n",
            "Epoch 876/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3557 - mean_absolute_error: 0.4336 - weighted_mean_absolute_error: 0.5221 - val_loss: 0.3487 - val_mean_absolute_error: 0.4194 - val_weighted_mean_absolute_error: 0.5134\n",
            "\n",
            "Epoch 00876: val_loss improved from 0.34907 to 0.34871, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 877/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3590 - mean_absolute_error: 0.4321 - weighted_mean_absolute_error: 0.5193 - val_loss: 0.3505 - val_mean_absolute_error: 0.4185 - val_weighted_mean_absolute_error: 0.5164\n",
            "\n",
            "Epoch 00877: val_loss did not improve from 0.34871\n",
            "Epoch 878/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3561 - mean_absolute_error: 0.4267 - weighted_mean_absolute_error: 0.5225 - val_loss: 0.3501 - val_mean_absolute_error: 0.4312 - val_weighted_mean_absolute_error: 0.5151\n",
            "\n",
            "Epoch 00878: val_loss did not improve from 0.34871\n",
            "Epoch 879/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3582 - mean_absolute_error: 0.4339 - weighted_mean_absolute_error: 0.5242 - val_loss: 0.3505 - val_mean_absolute_error: 0.4354 - val_weighted_mean_absolute_error: 0.5156\n",
            "\n",
            "Epoch 00879: val_loss did not improve from 0.34871\n",
            "Epoch 880/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3570 - mean_absolute_error: 0.4412 - weighted_mean_absolute_error: 0.5236 - val_loss: 0.3496 - val_mean_absolute_error: 0.4273 - val_weighted_mean_absolute_error: 0.5151\n",
            "\n",
            "Epoch 00880: val_loss did not improve from 0.34871\n",
            "Epoch 881/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3573 - mean_absolute_error: 0.4313 - weighted_mean_absolute_error: 0.5235 - val_loss: 0.3495 - val_mean_absolute_error: 0.4330 - val_weighted_mean_absolute_error: 0.5146\n",
            "\n",
            "Epoch 00881: val_loss did not improve from 0.34871\n",
            "Epoch 882/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3607 - mean_absolute_error: 0.4371 - weighted_mean_absolute_error: 0.5260 - val_loss: 0.3502 - val_mean_absolute_error: 0.4251 - val_weighted_mean_absolute_error: 0.5150\n",
            "\n",
            "Epoch 00882: val_loss did not improve from 0.34871\n",
            "Epoch 883/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3562 - mean_absolute_error: 0.4368 - weighted_mean_absolute_error: 0.5227 - val_loss: 0.3494 - val_mean_absolute_error: 0.4248 - val_weighted_mean_absolute_error: 0.5150\n",
            "\n",
            "Epoch 00883: val_loss did not improve from 0.34871\n",
            "Epoch 884/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3566 - mean_absolute_error: 0.4320 - weighted_mean_absolute_error: 0.5273 - val_loss: 0.3491 - val_mean_absolute_error: 0.4200 - val_weighted_mean_absolute_error: 0.5150\n",
            "\n",
            "Epoch 00884: val_loss did not improve from 0.34871\n",
            "Epoch 885/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3557 - mean_absolute_error: 0.4348 - weighted_mean_absolute_error: 0.5247 - val_loss: 0.3489 - val_mean_absolute_error: 0.4367 - val_weighted_mean_absolute_error: 0.5135\n",
            "\n",
            "Epoch 00885: val_loss did not improve from 0.34871\n",
            "Epoch 886/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3556 - mean_absolute_error: 0.4426 - weighted_mean_absolute_error: 0.5208 - val_loss: 0.3507 - val_mean_absolute_error: 0.4364 - val_weighted_mean_absolute_error: 0.5167\n",
            "\n",
            "Epoch 00886: val_loss did not improve from 0.34871\n",
            "Epoch 887/2000\n",
            "39/39 [==============================] - 18s 470ms/step - loss: 0.3569 - mean_absolute_error: 0.4409 - weighted_mean_absolute_error: 0.5206 - val_loss: 0.3502 - val_mean_absolute_error: 0.4251 - val_weighted_mean_absolute_error: 0.5162\n",
            "\n",
            "Epoch 00887: val_loss did not improve from 0.34871\n",
            "Epoch 888/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3567 - mean_absolute_error: 0.4435 - weighted_mean_absolute_error: 0.5254 - val_loss: 0.3491 - val_mean_absolute_error: 0.4270 - val_weighted_mean_absolute_error: 0.5145\n",
            "\n",
            "Epoch 00888: val_loss did not improve from 0.34871\n",
            "Epoch 889/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3585 - mean_absolute_error: 0.4348 - weighted_mean_absolute_error: 0.5222 - val_loss: 0.3487 - val_mean_absolute_error: 0.4432 - val_weighted_mean_absolute_error: 0.5136\n",
            "\n",
            "Epoch 00889: val_loss did not improve from 0.34871\n",
            "Epoch 890/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3560 - mean_absolute_error: 0.4425 - weighted_mean_absolute_error: 0.5248 - val_loss: 0.3499 - val_mean_absolute_error: 0.4228 - val_weighted_mean_absolute_error: 0.5159\n",
            "\n",
            "Epoch 00890: val_loss did not improve from 0.34871\n",
            "Epoch 891/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3554 - mean_absolute_error: 0.4288 - weighted_mean_absolute_error: 0.5228 - val_loss: 0.3494 - val_mean_absolute_error: 0.4195 - val_weighted_mean_absolute_error: 0.5145\n",
            "\n",
            "Epoch 00891: val_loss did not improve from 0.34871\n",
            "Epoch 892/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3579 - mean_absolute_error: 0.4280 - weighted_mean_absolute_error: 0.5237 - val_loss: 0.3489 - val_mean_absolute_error: 0.4202 - val_weighted_mean_absolute_error: 0.5142\n",
            "\n",
            "Epoch 00892: val_loss did not improve from 0.34871\n",
            "Epoch 893/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3581 - mean_absolute_error: 0.4276 - weighted_mean_absolute_error: 0.5268 - val_loss: 0.3498 - val_mean_absolute_error: 0.4241 - val_weighted_mean_absolute_error: 0.5155\n",
            "\n",
            "Epoch 00893: val_loss did not improve from 0.34871\n",
            "Epoch 894/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3556 - mean_absolute_error: 0.4347 - weighted_mean_absolute_error: 0.5232 - val_loss: 0.3502 - val_mean_absolute_error: 0.4382 - val_weighted_mean_absolute_error: 0.5145\n",
            "\n",
            "Epoch 00894: val_loss did not improve from 0.34871\n",
            "Epoch 895/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3592 - mean_absolute_error: 0.4349 - weighted_mean_absolute_error: 0.5213 - val_loss: 0.3488 - val_mean_absolute_error: 0.4230 - val_weighted_mean_absolute_error: 0.5137\n",
            "\n",
            "Epoch 00895: val_loss did not improve from 0.34871\n",
            "Epoch 896/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3546 - mean_absolute_error: 0.4318 - weighted_mean_absolute_error: 0.5205 - val_loss: 0.3503 - val_mean_absolute_error: 0.4176 - val_weighted_mean_absolute_error: 0.5158\n",
            "\n",
            "Epoch 00896: val_loss did not improve from 0.34871\n",
            "Epoch 897/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3582 - mean_absolute_error: 0.4346 - weighted_mean_absolute_error: 0.5262 - val_loss: 0.3491 - val_mean_absolute_error: 0.4252 - val_weighted_mean_absolute_error: 0.5148\n",
            "\n",
            "Epoch 00897: val_loss did not improve from 0.34871\n",
            "Epoch 898/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3582 - mean_absolute_error: 0.4322 - weighted_mean_absolute_error: 0.5196 - val_loss: 0.3497 - val_mean_absolute_error: 0.4295 - val_weighted_mean_absolute_error: 0.5154\n",
            "\n",
            "Epoch 00898: val_loss did not improve from 0.34871\n",
            "Epoch 899/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3607 - mean_absolute_error: 0.4388 - weighted_mean_absolute_error: 0.5213 - val_loss: 0.3488 - val_mean_absolute_error: 0.4239 - val_weighted_mean_absolute_error: 0.5144\n",
            "\n",
            "Epoch 00899: val_loss did not improve from 0.34871\n",
            "Epoch 900/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3598 - mean_absolute_error: 0.4291 - weighted_mean_absolute_error: 0.5244 - val_loss: 0.3496 - val_mean_absolute_error: 0.4357 - val_weighted_mean_absolute_error: 0.5152\n",
            "\n",
            "Epoch 00900: val_loss did not improve from 0.34871\n",
            "Epoch 901/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3574 - mean_absolute_error: 0.4400 - weighted_mean_absolute_error: 0.5240 - val_loss: 0.3488 - val_mean_absolute_error: 0.4335 - val_weighted_mean_absolute_error: 0.5141\n",
            "\n",
            "Epoch 00901: val_loss did not improve from 0.34871\n",
            "Epoch 902/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3571 - mean_absolute_error: 0.4380 - weighted_mean_absolute_error: 0.5219 - val_loss: 0.3487 - val_mean_absolute_error: 0.4266 - val_weighted_mean_absolute_error: 0.5138\n",
            "\n",
            "Epoch 00902: val_loss improved from 0.34871 to 0.34867, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 903/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3573 - mean_absolute_error: 0.4356 - weighted_mean_absolute_error: 0.5236 - val_loss: 0.3492 - val_mean_absolute_error: 0.4235 - val_weighted_mean_absolute_error: 0.5153\n",
            "\n",
            "Epoch 00903: val_loss did not improve from 0.34867\n",
            "Epoch 904/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3565 - mean_absolute_error: 0.4379 - weighted_mean_absolute_error: 0.5240 - val_loss: 0.3489 - val_mean_absolute_error: 0.4237 - val_weighted_mean_absolute_error: 0.5145\n",
            "\n",
            "Epoch 00904: val_loss did not improve from 0.34867\n",
            "Epoch 905/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3560 - mean_absolute_error: 0.4363 - weighted_mean_absolute_error: 0.5231 - val_loss: 0.3488 - val_mean_absolute_error: 0.4298 - val_weighted_mean_absolute_error: 0.5138\n",
            "\n",
            "Epoch 00905: val_loss did not improve from 0.34867\n",
            "Epoch 906/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3546 - mean_absolute_error: 0.4378 - weighted_mean_absolute_error: 0.5232 - val_loss: 0.3483 - val_mean_absolute_error: 0.4430 - val_weighted_mean_absolute_error: 0.5136\n",
            "\n",
            "Epoch 00906: val_loss improved from 0.34867 to 0.34828, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 907/2000\n",
            "39/39 [==============================] - 18s 471ms/step - loss: 0.3588 - mean_absolute_error: 0.4440 - weighted_mean_absolute_error: 0.5276 - val_loss: 0.3501 - val_mean_absolute_error: 0.4219 - val_weighted_mean_absolute_error: 0.5153\n",
            "\n",
            "Epoch 00907: val_loss did not improve from 0.34828\n",
            "Epoch 908/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3577 - mean_absolute_error: 0.4315 - weighted_mean_absolute_error: 0.5220 - val_loss: 0.3486 - val_mean_absolute_error: 0.4268 - val_weighted_mean_absolute_error: 0.5143\n",
            "\n",
            "Epoch 00908: val_loss did not improve from 0.34828\n",
            "Epoch 909/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3562 - mean_absolute_error: 0.4347 - weighted_mean_absolute_error: 0.5214 - val_loss: 0.3494 - val_mean_absolute_error: 0.4372 - val_weighted_mean_absolute_error: 0.5149\n",
            "\n",
            "Epoch 00909: val_loss did not improve from 0.34828\n",
            "Epoch 910/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3572 - mean_absolute_error: 0.4328 - weighted_mean_absolute_error: 0.5242 - val_loss: 0.3499 - val_mean_absolute_error: 0.4282 - val_weighted_mean_absolute_error: 0.5146\n",
            "\n",
            "Epoch 00910: val_loss did not improve from 0.34828\n",
            "Epoch 911/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3587 - mean_absolute_error: 0.4307 - weighted_mean_absolute_error: 0.5234 - val_loss: 0.3489 - val_mean_absolute_error: 0.4153 - val_weighted_mean_absolute_error: 0.5146\n",
            "\n",
            "Epoch 00911: val_loss did not improve from 0.34828\n",
            "Epoch 912/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3566 - mean_absolute_error: 0.4305 - weighted_mean_absolute_error: 0.5238 - val_loss: 0.3490 - val_mean_absolute_error: 0.4369 - val_weighted_mean_absolute_error: 0.5146\n",
            "\n",
            "Epoch 00912: val_loss did not improve from 0.34828\n",
            "Epoch 913/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3583 - mean_absolute_error: 0.4424 - weighted_mean_absolute_error: 0.5250 - val_loss: 0.3497 - val_mean_absolute_error: 0.4206 - val_weighted_mean_absolute_error: 0.5148\n",
            "\n",
            "Epoch 00913: val_loss did not improve from 0.34828\n",
            "Epoch 914/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3574 - mean_absolute_error: 0.4314 - weighted_mean_absolute_error: 0.5214 - val_loss: 0.3484 - val_mean_absolute_error: 0.4398 - val_weighted_mean_absolute_error: 0.5133\n",
            "\n",
            "Epoch 00914: val_loss did not improve from 0.34828\n",
            "Epoch 915/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3587 - mean_absolute_error: 0.4350 - weighted_mean_absolute_error: 0.5213 - val_loss: 0.3493 - val_mean_absolute_error: 0.4364 - val_weighted_mean_absolute_error: 0.5147\n",
            "\n",
            "Epoch 00915: val_loss did not improve from 0.34828\n",
            "Epoch 916/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3590 - mean_absolute_error: 0.4361 - weighted_mean_absolute_error: 0.5191 - val_loss: 0.3492 - val_mean_absolute_error: 0.4145 - val_weighted_mean_absolute_error: 0.5144\n",
            "\n",
            "Epoch 00916: val_loss did not improve from 0.34828\n",
            "Epoch 917/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3574 - mean_absolute_error: 0.4235 - weighted_mean_absolute_error: 0.5243 - val_loss: 0.3490 - val_mean_absolute_error: 0.4299 - val_weighted_mean_absolute_error: 0.5143\n",
            "\n",
            "Epoch 00917: val_loss did not improve from 0.34828\n",
            "Epoch 918/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3553 - mean_absolute_error: 0.4363 - weighted_mean_absolute_error: 0.5234 - val_loss: 0.3491 - val_mean_absolute_error: 0.4283 - val_weighted_mean_absolute_error: 0.5141\n",
            "\n",
            "Epoch 00918: val_loss did not improve from 0.34828\n",
            "Epoch 919/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3558 - mean_absolute_error: 0.4302 - weighted_mean_absolute_error: 0.5233 - val_loss: 0.3479 - val_mean_absolute_error: 0.4204 - val_weighted_mean_absolute_error: 0.5140\n",
            "\n",
            "Epoch 00919: val_loss improved from 0.34828 to 0.34794, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 920/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3553 - mean_absolute_error: 0.4283 - weighted_mean_absolute_error: 0.5214 - val_loss: 0.3486 - val_mean_absolute_error: 0.4281 - val_weighted_mean_absolute_error: 0.5140\n",
            "\n",
            "Epoch 00920: val_loss did not improve from 0.34794\n",
            "Epoch 921/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3574 - mean_absolute_error: 0.4284 - weighted_mean_absolute_error: 0.5228 - val_loss: 0.3480 - val_mean_absolute_error: 0.4315 - val_weighted_mean_absolute_error: 0.5127\n",
            "\n",
            "Epoch 00921: val_loss did not improve from 0.34794\n",
            "Epoch 922/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3554 - mean_absolute_error: 0.4302 - weighted_mean_absolute_error: 0.5219 - val_loss: 0.3490 - val_mean_absolute_error: 0.4258 - val_weighted_mean_absolute_error: 0.5147\n",
            "\n",
            "Epoch 00922: val_loss did not improve from 0.34794\n",
            "Epoch 923/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3593 - mean_absolute_error: 0.4319 - weighted_mean_absolute_error: 0.5226 - val_loss: 0.3488 - val_mean_absolute_error: 0.4219 - val_weighted_mean_absolute_error: 0.5145\n",
            "\n",
            "Epoch 00923: val_loss did not improve from 0.34794\n",
            "Epoch 924/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3557 - mean_absolute_error: 0.4286 - weighted_mean_absolute_error: 0.5224 - val_loss: 0.3486 - val_mean_absolute_error: 0.4331 - val_weighted_mean_absolute_error: 0.5145\n",
            "\n",
            "Epoch 00924: val_loss did not improve from 0.34794\n",
            "Epoch 925/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3578 - mean_absolute_error: 0.4361 - weighted_mean_absolute_error: 0.5216 - val_loss: 0.3496 - val_mean_absolute_error: 0.4154 - val_weighted_mean_absolute_error: 0.5148\n",
            "\n",
            "Epoch 00925: val_loss did not improve from 0.34794\n",
            "Epoch 926/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3559 - mean_absolute_error: 0.4254 - weighted_mean_absolute_error: 0.5242 - val_loss: 0.3484 - val_mean_absolute_error: 0.4247 - val_weighted_mean_absolute_error: 0.5139\n",
            "\n",
            "Epoch 00926: val_loss did not improve from 0.34794\n",
            "Epoch 927/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3564 - mean_absolute_error: 0.4288 - weighted_mean_absolute_error: 0.5207 - val_loss: 0.3485 - val_mean_absolute_error: 0.4185 - val_weighted_mean_absolute_error: 0.5138\n",
            "\n",
            "Epoch 00927: val_loss did not improve from 0.34794\n",
            "Epoch 928/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3567 - mean_absolute_error: 0.4310 - weighted_mean_absolute_error: 0.5225 - val_loss: 0.3493 - val_mean_absolute_error: 0.4306 - val_weighted_mean_absolute_error: 0.5145\n",
            "\n",
            "Epoch 00928: val_loss did not improve from 0.34794\n",
            "Epoch 929/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3604 - mean_absolute_error: 0.4248 - weighted_mean_absolute_error: 0.5226 - val_loss: 0.3490 - val_mean_absolute_error: 0.4171 - val_weighted_mean_absolute_error: 0.5143\n",
            "\n",
            "Epoch 00929: val_loss did not improve from 0.34794\n",
            "Epoch 930/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3557 - mean_absolute_error: 0.4319 - weighted_mean_absolute_error: 0.5233 - val_loss: 0.3487 - val_mean_absolute_error: 0.4326 - val_weighted_mean_absolute_error: 0.5135\n",
            "\n",
            "Epoch 00930: val_loss did not improve from 0.34794\n",
            "Epoch 931/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3558 - mean_absolute_error: 0.4342 - weighted_mean_absolute_error: 0.5252 - val_loss: 0.3491 - val_mean_absolute_error: 0.4207 - val_weighted_mean_absolute_error: 0.5143\n",
            "\n",
            "Epoch 00931: val_loss did not improve from 0.34794\n",
            "Epoch 932/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3581 - mean_absolute_error: 0.4278 - weighted_mean_absolute_error: 0.5211 - val_loss: 0.3486 - val_mean_absolute_error: 0.4268 - val_weighted_mean_absolute_error: 0.5141\n",
            "\n",
            "Epoch 00932: val_loss did not improve from 0.34794\n",
            "Epoch 933/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3584 - mean_absolute_error: 0.4345 - weighted_mean_absolute_error: 0.5224 - val_loss: 0.3487 - val_mean_absolute_error: 0.4242 - val_weighted_mean_absolute_error: 0.5145\n",
            "\n",
            "Epoch 00933: val_loss did not improve from 0.34794\n",
            "Epoch 934/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3559 - mean_absolute_error: 0.4243 - weighted_mean_absolute_error: 0.5228 - val_loss: 0.3484 - val_mean_absolute_error: 0.4236 - val_weighted_mean_absolute_error: 0.5149\n",
            "\n",
            "Epoch 00934: val_loss did not improve from 0.34794\n",
            "Epoch 935/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3543 - mean_absolute_error: 0.4277 - weighted_mean_absolute_error: 0.5230 - val_loss: 0.3488 - val_mean_absolute_error: 0.4258 - val_weighted_mean_absolute_error: 0.5139\n",
            "\n",
            "Epoch 00935: val_loss did not improve from 0.34794\n",
            "Epoch 936/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3566 - mean_absolute_error: 0.4325 - weighted_mean_absolute_error: 0.5233 - val_loss: 0.3479 - val_mean_absolute_error: 0.4178 - val_weighted_mean_absolute_error: 0.5136\n",
            "\n",
            "Epoch 00936: val_loss improved from 0.34794 to 0.34791, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 937/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3560 - mean_absolute_error: 0.4277 - weighted_mean_absolute_error: 0.5246 - val_loss: 0.3486 - val_mean_absolute_error: 0.4227 - val_weighted_mean_absolute_error: 0.5143\n",
            "\n",
            "Epoch 00937: val_loss did not improve from 0.34791\n",
            "Epoch 938/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3576 - mean_absolute_error: 0.4300 - weighted_mean_absolute_error: 0.5218 - val_loss: 0.3488 - val_mean_absolute_error: 0.4222 - val_weighted_mean_absolute_error: 0.5139\n",
            "\n",
            "Epoch 00938: val_loss did not improve from 0.34791\n",
            "Epoch 939/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3554 - mean_absolute_error: 0.4314 - weighted_mean_absolute_error: 0.5245 - val_loss: 0.3483 - val_mean_absolute_error: 0.4217 - val_weighted_mean_absolute_error: 0.5135\n",
            "\n",
            "Epoch 00939: val_loss did not improve from 0.34791\n",
            "Epoch 940/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3581 - mean_absolute_error: 0.4290 - weighted_mean_absolute_error: 0.5254 - val_loss: 0.3489 - val_mean_absolute_error: 0.4294 - val_weighted_mean_absolute_error: 0.5132\n",
            "\n",
            "Epoch 00940: val_loss did not improve from 0.34791\n",
            "Epoch 941/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3593 - mean_absolute_error: 0.4276 - weighted_mean_absolute_error: 0.5220 - val_loss: 0.3490 - val_mean_absolute_error: 0.4163 - val_weighted_mean_absolute_error: 0.5142\n",
            "\n",
            "Epoch 00941: val_loss did not improve from 0.34791\n",
            "Epoch 942/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3570 - mean_absolute_error: 0.4235 - weighted_mean_absolute_error: 0.5238 - val_loss: 0.3482 - val_mean_absolute_error: 0.4166 - val_weighted_mean_absolute_error: 0.5138\n",
            "\n",
            "Epoch 00942: val_loss did not improve from 0.34791\n",
            "Epoch 943/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3571 - mean_absolute_error: 0.4290 - weighted_mean_absolute_error: 0.5250 - val_loss: 0.3478 - val_mean_absolute_error: 0.4273 - val_weighted_mean_absolute_error: 0.5136\n",
            "\n",
            "Epoch 00943: val_loss improved from 0.34791 to 0.34782, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 944/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3582 - mean_absolute_error: 0.4269 - weighted_mean_absolute_error: 0.5227 - val_loss: 0.3489 - val_mean_absolute_error: 0.4327 - val_weighted_mean_absolute_error: 0.5142\n",
            "\n",
            "Epoch 00944: val_loss did not improve from 0.34782\n",
            "Epoch 945/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3556 - mean_absolute_error: 0.4314 - weighted_mean_absolute_error: 0.5245 - val_loss: 0.3476 - val_mean_absolute_error: 0.4281 - val_weighted_mean_absolute_error: 0.5126\n",
            "\n",
            "Epoch 00945: val_loss improved from 0.34782 to 0.34759, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 946/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3560 - mean_absolute_error: 0.4293 - weighted_mean_absolute_error: 0.5209 - val_loss: 0.3483 - val_mean_absolute_error: 0.4190 - val_weighted_mean_absolute_error: 0.5133\n",
            "\n",
            "Epoch 00946: val_loss did not improve from 0.34759\n",
            "Epoch 947/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3565 - mean_absolute_error: 0.4257 - weighted_mean_absolute_error: 0.5242 - val_loss: 0.3496 - val_mean_absolute_error: 0.4319 - val_weighted_mean_absolute_error: 0.5148\n",
            "\n",
            "Epoch 00947: val_loss did not improve from 0.34759\n",
            "Epoch 948/2000\n",
            "39/39 [==============================] - 18s 460ms/step - loss: 0.3597 - mean_absolute_error: 0.4354 - weighted_mean_absolute_error: 0.5255 - val_loss: 0.3492 - val_mean_absolute_error: 0.4151 - val_weighted_mean_absolute_error: 0.5152\n",
            "\n",
            "Epoch 00948: val_loss did not improve from 0.34759\n",
            "Epoch 949/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3577 - mean_absolute_error: 0.4253 - weighted_mean_absolute_error: 0.5246 - val_loss: 0.3485 - val_mean_absolute_error: 0.4176 - val_weighted_mean_absolute_error: 0.5143\n",
            "\n",
            "Epoch 00949: val_loss did not improve from 0.34759\n",
            "Epoch 950/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3553 - mean_absolute_error: 0.4272 - weighted_mean_absolute_error: 0.5246 - val_loss: 0.3478 - val_mean_absolute_error: 0.4272 - val_weighted_mean_absolute_error: 0.5127\n",
            "\n",
            "Epoch 00950: val_loss did not improve from 0.34759\n",
            "Epoch 951/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3555 - mean_absolute_error: 0.4262 - weighted_mean_absolute_error: 0.5235 - val_loss: 0.3499 - val_mean_absolute_error: 0.4171 - val_weighted_mean_absolute_error: 0.5158\n",
            "\n",
            "Epoch 00951: val_loss did not improve from 0.34759\n",
            "Epoch 952/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3568 - mean_absolute_error: 0.4278 - weighted_mean_absolute_error: 0.5221 - val_loss: 0.3482 - val_mean_absolute_error: 0.4243 - val_weighted_mean_absolute_error: 0.5135\n",
            "\n",
            "Epoch 00952: val_loss did not improve from 0.34759\n",
            "Epoch 953/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3577 - mean_absolute_error: 0.4249 - weighted_mean_absolute_error: 0.5215 - val_loss: 0.3478 - val_mean_absolute_error: 0.4194 - val_weighted_mean_absolute_error: 0.5128\n",
            "\n",
            "Epoch 00953: val_loss did not improve from 0.34759\n",
            "Epoch 954/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3566 - mean_absolute_error: 0.4224 - weighted_mean_absolute_error: 0.5188 - val_loss: 0.3484 - val_mean_absolute_error: 0.4203 - val_weighted_mean_absolute_error: 0.5145\n",
            "\n",
            "Epoch 00954: val_loss did not improve from 0.34759\n",
            "Epoch 955/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3582 - mean_absolute_error: 0.4245 - weighted_mean_absolute_error: 0.5249 - val_loss: 0.3483 - val_mean_absolute_error: 0.4151 - val_weighted_mean_absolute_error: 0.5139\n",
            "\n",
            "Epoch 00955: val_loss did not improve from 0.34759\n",
            "Epoch 956/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3559 - mean_absolute_error: 0.4227 - weighted_mean_absolute_error: 0.5217 - val_loss: 0.3488 - val_mean_absolute_error: 0.4152 - val_weighted_mean_absolute_error: 0.5149\n",
            "\n",
            "Epoch 00956: val_loss did not improve from 0.34759\n",
            "Epoch 957/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3545 - mean_absolute_error: 0.4238 - weighted_mean_absolute_error: 0.5198 - val_loss: 0.3483 - val_mean_absolute_error: 0.4259 - val_weighted_mean_absolute_error: 0.5138\n",
            "\n",
            "Epoch 00957: val_loss did not improve from 0.34759\n",
            "Epoch 958/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3572 - mean_absolute_error: 0.4303 - weighted_mean_absolute_error: 0.5218 - val_loss: 0.3485 - val_mean_absolute_error: 0.4070 - val_weighted_mean_absolute_error: 0.5145\n",
            "\n",
            "Epoch 00958: val_loss did not improve from 0.34759\n",
            "Epoch 959/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3559 - mean_absolute_error: 0.4242 - weighted_mean_absolute_error: 0.5243 - val_loss: 0.3482 - val_mean_absolute_error: 0.4291 - val_weighted_mean_absolute_error: 0.5134\n",
            "\n",
            "Epoch 00959: val_loss did not improve from 0.34759\n",
            "Epoch 960/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3564 - mean_absolute_error: 0.4264 - weighted_mean_absolute_error: 0.5203 - val_loss: 0.3478 - val_mean_absolute_error: 0.4246 - val_weighted_mean_absolute_error: 0.5136\n",
            "\n",
            "Epoch 00960: val_loss did not improve from 0.34759\n",
            "Epoch 961/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3559 - mean_absolute_error: 0.4280 - weighted_mean_absolute_error: 0.5238 - val_loss: 0.3490 - val_mean_absolute_error: 0.4116 - val_weighted_mean_absolute_error: 0.5154\n",
            "\n",
            "Epoch 00961: val_loss did not improve from 0.34759\n",
            "Epoch 962/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3566 - mean_absolute_error: 0.4199 - weighted_mean_absolute_error: 0.5215 - val_loss: 0.3477 - val_mean_absolute_error: 0.4244 - val_weighted_mean_absolute_error: 0.5136\n",
            "\n",
            "Epoch 00962: val_loss did not improve from 0.34759\n",
            "Epoch 963/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3574 - mean_absolute_error: 0.4286 - weighted_mean_absolute_error: 0.5218 - val_loss: 0.3478 - val_mean_absolute_error: 0.4267 - val_weighted_mean_absolute_error: 0.5138\n",
            "\n",
            "Epoch 00963: val_loss did not improve from 0.34759\n",
            "Epoch 964/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3566 - mean_absolute_error: 0.4297 - weighted_mean_absolute_error: 0.5182 - val_loss: 0.3486 - val_mean_absolute_error: 0.4193 - val_weighted_mean_absolute_error: 0.5152\n",
            "\n",
            "Epoch 00964: val_loss did not improve from 0.34759\n",
            "Epoch 965/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3554 - mean_absolute_error: 0.4263 - weighted_mean_absolute_error: 0.5213 - val_loss: 0.3482 - val_mean_absolute_error: 0.4245 - val_weighted_mean_absolute_error: 0.5147\n",
            "\n",
            "Epoch 00965: val_loss did not improve from 0.34759\n",
            "Epoch 966/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3559 - mean_absolute_error: 0.4273 - weighted_mean_absolute_error: 0.5235 - val_loss: 0.3483 - val_mean_absolute_error: 0.4203 - val_weighted_mean_absolute_error: 0.5137\n",
            "\n",
            "Epoch 00966: val_loss did not improve from 0.34759\n",
            "Epoch 967/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3565 - mean_absolute_error: 0.4247 - weighted_mean_absolute_error: 0.5232 - val_loss: 0.3482 - val_mean_absolute_error: 0.4196 - val_weighted_mean_absolute_error: 0.5144\n",
            "\n",
            "Epoch 00967: val_loss did not improve from 0.34759\n",
            "Epoch 968/2000\n",
            "39/39 [==============================] - 18s 460ms/step - loss: 0.3580 - mean_absolute_error: 0.4290 - weighted_mean_absolute_error: 0.5229 - val_loss: 0.3482 - val_mean_absolute_error: 0.4203 - val_weighted_mean_absolute_error: 0.5138\n",
            "\n",
            "Epoch 00968: val_loss did not improve from 0.34759\n",
            "Epoch 969/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3563 - mean_absolute_error: 0.4243 - weighted_mean_absolute_error: 0.5230 - val_loss: 0.3500 - val_mean_absolute_error: 0.4265 - val_weighted_mean_absolute_error: 0.5162\n",
            "\n",
            "Epoch 00969: val_loss did not improve from 0.34759\n",
            "Epoch 970/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3559 - mean_absolute_error: 0.4276 - weighted_mean_absolute_error: 0.5229 - val_loss: 0.3480 - val_mean_absolute_error: 0.4195 - val_weighted_mean_absolute_error: 0.5137\n",
            "\n",
            "Epoch 00970: val_loss did not improve from 0.34759\n",
            "Epoch 971/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3574 - mean_absolute_error: 0.4281 - weighted_mean_absolute_error: 0.5238 - val_loss: 0.3479 - val_mean_absolute_error: 0.4188 - val_weighted_mean_absolute_error: 0.5133\n",
            "\n",
            "Epoch 00971: val_loss did not improve from 0.34759\n",
            "Epoch 972/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3563 - mean_absolute_error: 0.4232 - weighted_mean_absolute_error: 0.5231 - val_loss: 0.3480 - val_mean_absolute_error: 0.4161 - val_weighted_mean_absolute_error: 0.5142\n",
            "\n",
            "Epoch 00972: val_loss did not improve from 0.34759\n",
            "Epoch 973/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3563 - mean_absolute_error: 0.4257 - weighted_mean_absolute_error: 0.5223 - val_loss: 0.3480 - val_mean_absolute_error: 0.4117 - val_weighted_mean_absolute_error: 0.5137\n",
            "\n",
            "Epoch 00973: val_loss did not improve from 0.34759\n",
            "Epoch 974/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3555 - mean_absolute_error: 0.4243 - weighted_mean_absolute_error: 0.5230 - val_loss: 0.3474 - val_mean_absolute_error: 0.4230 - val_weighted_mean_absolute_error: 0.5131\n",
            "\n",
            "Epoch 00974: val_loss improved from 0.34759 to 0.34741, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 975/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3543 - mean_absolute_error: 0.4278 - weighted_mean_absolute_error: 0.5172 - val_loss: 0.3489 - val_mean_absolute_error: 0.4198 - val_weighted_mean_absolute_error: 0.5141\n",
            "\n",
            "Epoch 00975: val_loss did not improve from 0.34741\n",
            "Epoch 976/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3559 - mean_absolute_error: 0.4289 - weighted_mean_absolute_error: 0.5256 - val_loss: 0.3484 - val_mean_absolute_error: 0.4205 - val_weighted_mean_absolute_error: 0.5145\n",
            "\n",
            "Epoch 00976: val_loss did not improve from 0.34741\n",
            "Epoch 977/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3593 - mean_absolute_error: 0.4241 - weighted_mean_absolute_error: 0.5217 - val_loss: 0.3488 - val_mean_absolute_error: 0.4162 - val_weighted_mean_absolute_error: 0.5145\n",
            "\n",
            "Epoch 00977: val_loss did not improve from 0.34741\n",
            "Epoch 978/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3563 - mean_absolute_error: 0.4273 - weighted_mean_absolute_error: 0.5239 - val_loss: 0.3486 - val_mean_absolute_error: 0.4328 - val_weighted_mean_absolute_error: 0.5142\n",
            "\n",
            "Epoch 00978: val_loss did not improve from 0.34741\n",
            "Epoch 979/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3555 - mean_absolute_error: 0.4323 - weighted_mean_absolute_error: 0.5229 - val_loss: 0.3479 - val_mean_absolute_error: 0.4270 - val_weighted_mean_absolute_error: 0.5129\n",
            "\n",
            "Epoch 00979: val_loss did not improve from 0.34741\n",
            "Epoch 980/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3559 - mean_absolute_error: 0.4355 - weighted_mean_absolute_error: 0.5215 - val_loss: 0.3483 - val_mean_absolute_error: 0.4307 - val_weighted_mean_absolute_error: 0.5138\n",
            "\n",
            "Epoch 00980: val_loss did not improve from 0.34741\n",
            "Epoch 981/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3557 - mean_absolute_error: 0.4327 - weighted_mean_absolute_error: 0.5231 - val_loss: 0.3477 - val_mean_absolute_error: 0.4339 - val_weighted_mean_absolute_error: 0.5131\n",
            "\n",
            "Epoch 00981: val_loss did not improve from 0.34741\n",
            "Epoch 982/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3560 - mean_absolute_error: 0.4284 - weighted_mean_absolute_error: 0.5219 - val_loss: 0.3486 - val_mean_absolute_error: 0.4183 - val_weighted_mean_absolute_error: 0.5137\n",
            "\n",
            "Epoch 00982: val_loss did not improve from 0.34741\n",
            "Epoch 983/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3560 - mean_absolute_error: 0.4291 - weighted_mean_absolute_error: 0.5208 - val_loss: 0.3488 - val_mean_absolute_error: 0.4234 - val_weighted_mean_absolute_error: 0.5141\n",
            "\n",
            "Epoch 00983: val_loss did not improve from 0.34741\n",
            "Epoch 984/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3559 - mean_absolute_error: 0.4284 - weighted_mean_absolute_error: 0.5195 - val_loss: 0.3486 - val_mean_absolute_error: 0.4143 - val_weighted_mean_absolute_error: 0.5139\n",
            "\n",
            "Epoch 00984: val_loss did not improve from 0.34741\n",
            "Epoch 985/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3558 - mean_absolute_error: 0.4292 - weighted_mean_absolute_error: 0.5234 - val_loss: 0.3480 - val_mean_absolute_error: 0.4203 - val_weighted_mean_absolute_error: 0.5136\n",
            "\n",
            "Epoch 00985: val_loss did not improve from 0.34741\n",
            "Epoch 986/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3602 - mean_absolute_error: 0.4276 - weighted_mean_absolute_error: 0.5242 - val_loss: 0.3479 - val_mean_absolute_error: 0.4078 - val_weighted_mean_absolute_error: 0.5135\n",
            "\n",
            "Epoch 00986: val_loss did not improve from 0.34741\n",
            "Epoch 987/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3558 - mean_absolute_error: 0.4263 - weighted_mean_absolute_error: 0.5206 - val_loss: 0.3482 - val_mean_absolute_error: 0.4074 - val_weighted_mean_absolute_error: 0.5138\n",
            "\n",
            "Epoch 00987: val_loss did not improve from 0.34741\n",
            "Epoch 988/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3558 - mean_absolute_error: 0.4254 - weighted_mean_absolute_error: 0.5195 - val_loss: 0.3474 - val_mean_absolute_error: 0.4172 - val_weighted_mean_absolute_error: 0.5131\n",
            "\n",
            "Epoch 00988: val_loss improved from 0.34741 to 0.34741, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 989/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3565 - mean_absolute_error: 0.4269 - weighted_mean_absolute_error: 0.5197 - val_loss: 0.3486 - val_mean_absolute_error: 0.4086 - val_weighted_mean_absolute_error: 0.5152\n",
            "\n",
            "Epoch 00989: val_loss did not improve from 0.34741\n",
            "Epoch 990/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3575 - mean_absolute_error: 0.4205 - weighted_mean_absolute_error: 0.5269 - val_loss: 0.3480 - val_mean_absolute_error: 0.4169 - val_weighted_mean_absolute_error: 0.5140\n",
            "\n",
            "Epoch 00990: val_loss did not improve from 0.34741\n",
            "Epoch 991/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3574 - mean_absolute_error: 0.4218 - weighted_mean_absolute_error: 0.5210 - val_loss: 0.3477 - val_mean_absolute_error: 0.4096 - val_weighted_mean_absolute_error: 0.5134\n",
            "\n",
            "Epoch 00991: val_loss did not improve from 0.34741\n",
            "Epoch 992/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3545 - mean_absolute_error: 0.4239 - weighted_mean_absolute_error: 0.5224 - val_loss: 0.3478 - val_mean_absolute_error: 0.4142 - val_weighted_mean_absolute_error: 0.5140\n",
            "\n",
            "Epoch 00992: val_loss did not improve from 0.34741\n",
            "Epoch 993/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3564 - mean_absolute_error: 0.4234 - weighted_mean_absolute_error: 0.5233 - val_loss: 0.3488 - val_mean_absolute_error: 0.4171 - val_weighted_mean_absolute_error: 0.5147\n",
            "\n",
            "Epoch 00993: val_loss did not improve from 0.34741\n",
            "Epoch 994/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3558 - mean_absolute_error: 0.4278 - weighted_mean_absolute_error: 0.5244 - val_loss: 0.3478 - val_mean_absolute_error: 0.4151 - val_weighted_mean_absolute_error: 0.5140\n",
            "\n",
            "Epoch 00994: val_loss did not improve from 0.34741\n",
            "Epoch 995/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3566 - mean_absolute_error: 0.4278 - weighted_mean_absolute_error: 0.5239 - val_loss: 0.3481 - val_mean_absolute_error: 0.4165 - val_weighted_mean_absolute_error: 0.5132\n",
            "\n",
            "Epoch 00995: val_loss did not improve from 0.34741\n",
            "Epoch 996/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3583 - mean_absolute_error: 0.4325 - weighted_mean_absolute_error: 0.5203 - val_loss: 0.3482 - val_mean_absolute_error: 0.4265 - val_weighted_mean_absolute_error: 0.5140\n",
            "\n",
            "Epoch 00996: val_loss did not improve from 0.34741\n",
            "Epoch 997/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3556 - mean_absolute_error: 0.4288 - weighted_mean_absolute_error: 0.5239 - val_loss: 0.3481 - val_mean_absolute_error: 0.4238 - val_weighted_mean_absolute_error: 0.5146\n",
            "\n",
            "Epoch 00997: val_loss did not improve from 0.34741\n",
            "Epoch 998/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3567 - mean_absolute_error: 0.4285 - weighted_mean_absolute_error: 0.5226 - val_loss: 0.3474 - val_mean_absolute_error: 0.4183 - val_weighted_mean_absolute_error: 0.5131\n",
            "\n",
            "Epoch 00998: val_loss improved from 0.34741 to 0.34741, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 999/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3593 - mean_absolute_error: 0.4335 - weighted_mean_absolute_error: 0.5241 - val_loss: 0.3473 - val_mean_absolute_error: 0.4272 - val_weighted_mean_absolute_error: 0.5132\n",
            "\n",
            "Epoch 00999: val_loss improved from 0.34741 to 0.34726, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 1000/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3532 - mean_absolute_error: 0.4244 - weighted_mean_absolute_error: 0.5185 - val_loss: 0.3481 - val_mean_absolute_error: 0.4136 - val_weighted_mean_absolute_error: 0.5144\n",
            "\n",
            "Epoch 01000: val_loss did not improve from 0.34726\n",
            "Epoch 1001/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3561 - mean_absolute_error: 0.4292 - weighted_mean_absolute_error: 0.5241 - val_loss: 0.3489 - val_mean_absolute_error: 0.4304 - val_weighted_mean_absolute_error: 0.5147\n",
            "\n",
            "Epoch 01001: val_loss did not improve from 0.34726\n",
            "Epoch 1002/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3553 - mean_absolute_error: 0.4297 - weighted_mean_absolute_error: 0.5229 - val_loss: 0.3483 - val_mean_absolute_error: 0.4171 - val_weighted_mean_absolute_error: 0.5143\n",
            "\n",
            "Epoch 01002: val_loss did not improve from 0.34726\n",
            "Epoch 1003/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3553 - mean_absolute_error: 0.4295 - weighted_mean_absolute_error: 0.5235 - val_loss: 0.3478 - val_mean_absolute_error: 0.4277 - val_weighted_mean_absolute_error: 0.5143\n",
            "\n",
            "Epoch 01003: val_loss did not improve from 0.34726\n",
            "Epoch 1004/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3561 - mean_absolute_error: 0.4317 - weighted_mean_absolute_error: 0.5208 - val_loss: 0.3481 - val_mean_absolute_error: 0.4124 - val_weighted_mean_absolute_error: 0.5135\n",
            "\n",
            "Epoch 01004: val_loss did not improve from 0.34726\n",
            "Epoch 1005/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3560 - mean_absolute_error: 0.4209 - weighted_mean_absolute_error: 0.5225 - val_loss: 0.3479 - val_mean_absolute_error: 0.4244 - val_weighted_mean_absolute_error: 0.5132\n",
            "\n",
            "Epoch 01005: val_loss did not improve from 0.34726\n",
            "Epoch 1006/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3583 - mean_absolute_error: 0.4246 - weighted_mean_absolute_error: 0.5210 - val_loss: 0.3478 - val_mean_absolute_error: 0.4096 - val_weighted_mean_absolute_error: 0.5132\n",
            "\n",
            "Epoch 01006: val_loss did not improve from 0.34726\n",
            "Epoch 1007/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3563 - mean_absolute_error: 0.4224 - weighted_mean_absolute_error: 0.5201 - val_loss: 0.3484 - val_mean_absolute_error: 0.4188 - val_weighted_mean_absolute_error: 0.5152\n",
            "\n",
            "Epoch 01007: val_loss did not improve from 0.34726\n",
            "Epoch 1008/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3573 - mean_absolute_error: 0.4267 - weighted_mean_absolute_error: 0.5197 - val_loss: 0.3476 - val_mean_absolute_error: 0.4144 - val_weighted_mean_absolute_error: 0.5133\n",
            "\n",
            "Epoch 01008: val_loss did not improve from 0.34726\n",
            "Epoch 1009/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3556 - mean_absolute_error: 0.4227 - weighted_mean_absolute_error: 0.5241 - val_loss: 0.3481 - val_mean_absolute_error: 0.4146 - val_weighted_mean_absolute_error: 0.5132\n",
            "\n",
            "Epoch 01009: val_loss did not improve from 0.34726\n",
            "Epoch 1010/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3569 - mean_absolute_error: 0.4233 - weighted_mean_absolute_error: 0.5253 - val_loss: 0.3479 - val_mean_absolute_error: 0.4226 - val_weighted_mean_absolute_error: 0.5141\n",
            "\n",
            "Epoch 01010: val_loss did not improve from 0.34726\n",
            "Epoch 1011/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3563 - mean_absolute_error: 0.4303 - weighted_mean_absolute_error: 0.5200 - val_loss: 0.3480 - val_mean_absolute_error: 0.4159 - val_weighted_mean_absolute_error: 0.5141\n",
            "\n",
            "Epoch 01011: val_loss did not improve from 0.34726\n",
            "Epoch 1012/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3560 - mean_absolute_error: 0.4155 - weighted_mean_absolute_error: 0.5213 - val_loss: 0.3473 - val_mean_absolute_error: 0.4191 - val_weighted_mean_absolute_error: 0.5126\n",
            "\n",
            "Epoch 01012: val_loss did not improve from 0.34726\n",
            "Epoch 1013/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3542 - mean_absolute_error: 0.4285 - weighted_mean_absolute_error: 0.5225 - val_loss: 0.3476 - val_mean_absolute_error: 0.4227 - val_weighted_mean_absolute_error: 0.5136\n",
            "\n",
            "Epoch 01013: val_loss did not improve from 0.34726\n",
            "Epoch 1014/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3538 - mean_absolute_error: 0.4249 - weighted_mean_absolute_error: 0.5225 - val_loss: 0.3476 - val_mean_absolute_error: 0.4161 - val_weighted_mean_absolute_error: 0.5126\n",
            "\n",
            "Epoch 01014: val_loss did not improve from 0.34726\n",
            "Epoch 1015/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3569 - mean_absolute_error: 0.4273 - weighted_mean_absolute_error: 0.5201 - val_loss: 0.3477 - val_mean_absolute_error: 0.4289 - val_weighted_mean_absolute_error: 0.5135\n",
            "\n",
            "Epoch 01015: val_loss did not improve from 0.34726\n",
            "Epoch 1016/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3578 - mean_absolute_error: 0.4336 - weighted_mean_absolute_error: 0.5230 - val_loss: 0.3473 - val_mean_absolute_error: 0.4151 - val_weighted_mean_absolute_error: 0.5134\n",
            "\n",
            "Epoch 01016: val_loss did not improve from 0.34726\n",
            "Epoch 1017/2000\n",
            "39/39 [==============================] - 18s 460ms/step - loss: 0.3575 - mean_absolute_error: 0.4248 - weighted_mean_absolute_error: 0.5192 - val_loss: 0.3477 - val_mean_absolute_error: 0.4108 - val_weighted_mean_absolute_error: 0.5138\n",
            "\n",
            "Epoch 01017: val_loss did not improve from 0.34726\n",
            "Epoch 1018/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3573 - mean_absolute_error: 0.4277 - weighted_mean_absolute_error: 0.5238 - val_loss: 0.3481 - val_mean_absolute_error: 0.4208 - val_weighted_mean_absolute_error: 0.5140\n",
            "\n",
            "Epoch 01018: val_loss did not improve from 0.34726\n",
            "Epoch 1019/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3548 - mean_absolute_error: 0.4317 - weighted_mean_absolute_error: 0.5212 - val_loss: 0.3482 - val_mean_absolute_error: 0.4119 - val_weighted_mean_absolute_error: 0.5148\n",
            "\n",
            "Epoch 01019: val_loss did not improve from 0.34726\n",
            "Epoch 1020/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3572 - mean_absolute_error: 0.4183 - weighted_mean_absolute_error: 0.5215 - val_loss: 0.3474 - val_mean_absolute_error: 0.4222 - val_weighted_mean_absolute_error: 0.5127\n",
            "\n",
            "Epoch 01020: val_loss did not improve from 0.34726\n",
            "Epoch 1021/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3556 - mean_absolute_error: 0.4315 - weighted_mean_absolute_error: 0.5219 - val_loss: 0.3475 - val_mean_absolute_error: 0.4159 - val_weighted_mean_absolute_error: 0.5138\n",
            "\n",
            "Epoch 01021: val_loss did not improve from 0.34726\n",
            "Epoch 1022/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3569 - mean_absolute_error: 0.4268 - weighted_mean_absolute_error: 0.5213 - val_loss: 0.3480 - val_mean_absolute_error: 0.4100 - val_weighted_mean_absolute_error: 0.5145\n",
            "\n",
            "Epoch 01022: val_loss did not improve from 0.34726\n",
            "Epoch 1023/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3575 - mean_absolute_error: 0.4247 - weighted_mean_absolute_error: 0.5236 - val_loss: 0.3490 - val_mean_absolute_error: 0.4163 - val_weighted_mean_absolute_error: 0.5151\n",
            "\n",
            "Epoch 01023: val_loss did not improve from 0.34726\n",
            "Epoch 1024/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3540 - mean_absolute_error: 0.4248 - weighted_mean_absolute_error: 0.5247 - val_loss: 0.3473 - val_mean_absolute_error: 0.4114 - val_weighted_mean_absolute_error: 0.5135\n",
            "\n",
            "Epoch 01024: val_loss did not improve from 0.34726\n",
            "Epoch 1025/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3593 - mean_absolute_error: 0.4213 - weighted_mean_absolute_error: 0.5218 - val_loss: 0.3474 - val_mean_absolute_error: 0.4209 - val_weighted_mean_absolute_error: 0.5139\n",
            "\n",
            "Epoch 01025: val_loss did not improve from 0.34726\n",
            "Epoch 1026/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3548 - mean_absolute_error: 0.4245 - weighted_mean_absolute_error: 0.5205 - val_loss: 0.3469 - val_mean_absolute_error: 0.4249 - val_weighted_mean_absolute_error: 0.5129\n",
            "\n",
            "Epoch 01026: val_loss improved from 0.34726 to 0.34694, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 1027/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3558 - mean_absolute_error: 0.4273 - weighted_mean_absolute_error: 0.5203 - val_loss: 0.3471 - val_mean_absolute_error: 0.4240 - val_weighted_mean_absolute_error: 0.5127\n",
            "\n",
            "Epoch 01027: val_loss did not improve from 0.34694\n",
            "Epoch 1028/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3541 - mean_absolute_error: 0.4307 - weighted_mean_absolute_error: 0.5220 - val_loss: 0.3471 - val_mean_absolute_error: 0.4211 - val_weighted_mean_absolute_error: 0.5121\n",
            "\n",
            "Epoch 01028: val_loss did not improve from 0.34694\n",
            "Epoch 1029/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3564 - mean_absolute_error: 0.4290 - weighted_mean_absolute_error: 0.5219 - val_loss: 0.3479 - val_mean_absolute_error: 0.4237 - val_weighted_mean_absolute_error: 0.5140\n",
            "\n",
            "Epoch 01029: val_loss did not improve from 0.34694\n",
            "Epoch 1030/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3541 - mean_absolute_error: 0.4247 - weighted_mean_absolute_error: 0.5221 - val_loss: 0.3475 - val_mean_absolute_error: 0.4109 - val_weighted_mean_absolute_error: 0.5141\n",
            "\n",
            "Epoch 01030: val_loss did not improve from 0.34694\n",
            "Epoch 1031/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3544 - mean_absolute_error: 0.4262 - weighted_mean_absolute_error: 0.5197 - val_loss: 0.3477 - val_mean_absolute_error: 0.4161 - val_weighted_mean_absolute_error: 0.5135\n",
            "\n",
            "Epoch 01031: val_loss did not improve from 0.34694\n",
            "Epoch 1032/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3533 - mean_absolute_error: 0.4250 - weighted_mean_absolute_error: 0.5203 - val_loss: 0.3473 - val_mean_absolute_error: 0.4096 - val_weighted_mean_absolute_error: 0.5133\n",
            "\n",
            "Epoch 01032: val_loss did not improve from 0.34694\n",
            "Epoch 1033/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3547 - mean_absolute_error: 0.4186 - weighted_mean_absolute_error: 0.5201 - val_loss: 0.3476 - val_mean_absolute_error: 0.4182 - val_weighted_mean_absolute_error: 0.5141\n",
            "\n",
            "Epoch 01033: val_loss did not improve from 0.34694\n",
            "Epoch 1034/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3561 - mean_absolute_error: 0.4212 - weighted_mean_absolute_error: 0.5200 - val_loss: 0.3475 - val_mean_absolute_error: 0.4211 - val_weighted_mean_absolute_error: 0.5131\n",
            "\n",
            "Epoch 01034: val_loss did not improve from 0.34694\n",
            "Epoch 1035/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3575 - mean_absolute_error: 0.4301 - weighted_mean_absolute_error: 0.5219 - val_loss: 0.3470 - val_mean_absolute_error: 0.4165 - val_weighted_mean_absolute_error: 0.5137\n",
            "\n",
            "Epoch 01035: val_loss did not improve from 0.34694\n",
            "Epoch 1036/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3593 - mean_absolute_error: 0.4273 - weighted_mean_absolute_error: 0.5240 - val_loss: 0.3480 - val_mean_absolute_error: 0.4238 - val_weighted_mean_absolute_error: 0.5131\n",
            "\n",
            "Epoch 01036: val_loss did not improve from 0.34694\n",
            "Epoch 1037/2000\n",
            "39/39 [==============================] - 18s 460ms/step - loss: 0.3558 - mean_absolute_error: 0.4311 - weighted_mean_absolute_error: 0.5229 - val_loss: 0.3481 - val_mean_absolute_error: 0.4228 - val_weighted_mean_absolute_error: 0.5143\n",
            "\n",
            "Epoch 01037: val_loss did not improve from 0.34694\n",
            "Epoch 1038/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3564 - mean_absolute_error: 0.4269 - weighted_mean_absolute_error: 0.5249 - val_loss: 0.3476 - val_mean_absolute_error: 0.4110 - val_weighted_mean_absolute_error: 0.5141\n",
            "\n",
            "Epoch 01038: val_loss did not improve from 0.34694\n",
            "Epoch 1039/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3546 - mean_absolute_error: 0.4306 - weighted_mean_absolute_error: 0.5223 - val_loss: 0.3473 - val_mean_absolute_error: 0.4109 - val_weighted_mean_absolute_error: 0.5134\n",
            "\n",
            "Epoch 01039: val_loss did not improve from 0.34694\n",
            "Epoch 1040/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3563 - mean_absolute_error: 0.4214 - weighted_mean_absolute_error: 0.5228 - val_loss: 0.3469 - val_mean_absolute_error: 0.4107 - val_weighted_mean_absolute_error: 0.5127\n",
            "\n",
            "Epoch 01040: val_loss improved from 0.34694 to 0.34685, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 1041/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3578 - mean_absolute_error: 0.4279 - weighted_mean_absolute_error: 0.5210 - val_loss: 0.3475 - val_mean_absolute_error: 0.4211 - val_weighted_mean_absolute_error: 0.5126\n",
            "\n",
            "Epoch 01041: val_loss did not improve from 0.34685\n",
            "Epoch 1042/2000\n",
            "39/39 [==============================] - 18s 469ms/step - loss: 0.3539 - mean_absolute_error: 0.4306 - weighted_mean_absolute_error: 0.5221 - val_loss: 0.3466 - val_mean_absolute_error: 0.4169 - val_weighted_mean_absolute_error: 0.5123\n",
            "\n",
            "Epoch 01042: val_loss improved from 0.34685 to 0.34658, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 1043/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3549 - mean_absolute_error: 0.4297 - weighted_mean_absolute_error: 0.5206 - val_loss: 0.3470 - val_mean_absolute_error: 0.4184 - val_weighted_mean_absolute_error: 0.5134\n",
            "\n",
            "Epoch 01043: val_loss did not improve from 0.34658\n",
            "Epoch 1044/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3543 - mean_absolute_error: 0.4251 - weighted_mean_absolute_error: 0.5221 - val_loss: 0.3466 - val_mean_absolute_error: 0.4286 - val_weighted_mean_absolute_error: 0.5122\n",
            "\n",
            "Epoch 01044: val_loss did not improve from 0.34658\n",
            "Epoch 1045/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3542 - mean_absolute_error: 0.4308 - weighted_mean_absolute_error: 0.5233 - val_loss: 0.3480 - val_mean_absolute_error: 0.4216 - val_weighted_mean_absolute_error: 0.5140\n",
            "\n",
            "Epoch 01045: val_loss did not improve from 0.34658\n",
            "Epoch 1046/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3541 - mean_absolute_error: 0.4279 - weighted_mean_absolute_error: 0.5210 - val_loss: 0.3472 - val_mean_absolute_error: 0.4269 - val_weighted_mean_absolute_error: 0.5136\n",
            "\n",
            "Epoch 01046: val_loss did not improve from 0.34658\n",
            "Epoch 1047/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3561 - mean_absolute_error: 0.4338 - weighted_mean_absolute_error: 0.5199 - val_loss: 0.3471 - val_mean_absolute_error: 0.4062 - val_weighted_mean_absolute_error: 0.5136\n",
            "\n",
            "Epoch 01047: val_loss did not improve from 0.34658\n",
            "Epoch 1048/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3553 - mean_absolute_error: 0.4257 - weighted_mean_absolute_error: 0.5215 - val_loss: 0.3472 - val_mean_absolute_error: 0.4039 - val_weighted_mean_absolute_error: 0.5137\n",
            "\n",
            "Epoch 01048: val_loss did not improve from 0.34658\n",
            "Epoch 1049/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3535 - mean_absolute_error: 0.4233 - weighted_mean_absolute_error: 0.5222 - val_loss: 0.3481 - val_mean_absolute_error: 0.4282 - val_weighted_mean_absolute_error: 0.5144\n",
            "\n",
            "Epoch 01049: val_loss did not improve from 0.34658\n",
            "Epoch 1050/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3554 - mean_absolute_error: 0.4352 - weighted_mean_absolute_error: 0.5210 - val_loss: 0.3466 - val_mean_absolute_error: 0.4212 - val_weighted_mean_absolute_error: 0.5125\n",
            "\n",
            "Epoch 01050: val_loss did not improve from 0.34658\n",
            "Epoch 1051/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3525 - mean_absolute_error: 0.4316 - weighted_mean_absolute_error: 0.5212 - val_loss: 0.3469 - val_mean_absolute_error: 0.4218 - val_weighted_mean_absolute_error: 0.5130\n",
            "\n",
            "Epoch 01051: val_loss did not improve from 0.34658\n",
            "Epoch 1052/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3549 - mean_absolute_error: 0.4254 - weighted_mean_absolute_error: 0.5212 - val_loss: 0.3470 - val_mean_absolute_error: 0.4162 - val_weighted_mean_absolute_error: 0.5129\n",
            "\n",
            "Epoch 01052: val_loss did not improve from 0.34658\n",
            "Epoch 1053/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3548 - mean_absolute_error: 0.4274 - weighted_mean_absolute_error: 0.5219 - val_loss: 0.3476 - val_mean_absolute_error: 0.4214 - val_weighted_mean_absolute_error: 0.5138\n",
            "\n",
            "Epoch 01053: val_loss did not improve from 0.34658\n",
            "Epoch 1054/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3535 - mean_absolute_error: 0.4272 - weighted_mean_absolute_error: 0.5197 - val_loss: 0.3475 - val_mean_absolute_error: 0.4076 - val_weighted_mean_absolute_error: 0.5132\n",
            "\n",
            "Epoch 01054: val_loss did not improve from 0.34658\n",
            "Epoch 1055/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3572 - mean_absolute_error: 0.4252 - weighted_mean_absolute_error: 0.5216 - val_loss: 0.3472 - val_mean_absolute_error: 0.4149 - val_weighted_mean_absolute_error: 0.5137\n",
            "\n",
            "Epoch 01055: val_loss did not improve from 0.34658\n",
            "Epoch 1056/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3571 - mean_absolute_error: 0.4326 - weighted_mean_absolute_error: 0.5232 - val_loss: 0.3470 - val_mean_absolute_error: 0.4227 - val_weighted_mean_absolute_error: 0.5132\n",
            "\n",
            "Epoch 01056: val_loss did not improve from 0.34658\n",
            "Epoch 1057/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3544 - mean_absolute_error: 0.4338 - weighted_mean_absolute_error: 0.5209 - val_loss: 0.3474 - val_mean_absolute_error: 0.4122 - val_weighted_mean_absolute_error: 0.5133\n",
            "\n",
            "Epoch 01057: val_loss did not improve from 0.34658\n",
            "Epoch 1058/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3523 - mean_absolute_error: 0.4272 - weighted_mean_absolute_error: 0.5242 - val_loss: 0.3471 - val_mean_absolute_error: 0.4227 - val_weighted_mean_absolute_error: 0.5130\n",
            "\n",
            "Epoch 01058: val_loss did not improve from 0.34658\n",
            "Epoch 1059/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3544 - mean_absolute_error: 0.4275 - weighted_mean_absolute_error: 0.5221 - val_loss: 0.3477 - val_mean_absolute_error: 0.4191 - val_weighted_mean_absolute_error: 0.5135\n",
            "\n",
            "Epoch 01059: val_loss did not improve from 0.34658\n",
            "Epoch 1060/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3543 - mean_absolute_error: 0.4287 - weighted_mean_absolute_error: 0.5217 - val_loss: 0.3475 - val_mean_absolute_error: 0.4179 - val_weighted_mean_absolute_error: 0.5133\n",
            "\n",
            "Epoch 01060: val_loss did not improve from 0.34658\n",
            "Epoch 1061/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3553 - mean_absolute_error: 0.4294 - weighted_mean_absolute_error: 0.5197 - val_loss: 0.3472 - val_mean_absolute_error: 0.4093 - val_weighted_mean_absolute_error: 0.5124\n",
            "\n",
            "Epoch 01061: val_loss did not improve from 0.34658\n",
            "Epoch 1062/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3562 - mean_absolute_error: 0.4336 - weighted_mean_absolute_error: 0.5238 - val_loss: 0.3473 - val_mean_absolute_error: 0.4222 - val_weighted_mean_absolute_error: 0.5139\n",
            "\n",
            "Epoch 01062: val_loss did not improve from 0.34658\n",
            "Epoch 1063/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3543 - mean_absolute_error: 0.4370 - weighted_mean_absolute_error: 0.5214 - val_loss: 0.3465 - val_mean_absolute_error: 0.4205 - val_weighted_mean_absolute_error: 0.5125\n",
            "\n",
            "Epoch 01063: val_loss improved from 0.34658 to 0.34652, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 1064/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3533 - mean_absolute_error: 0.4345 - weighted_mean_absolute_error: 0.5181 - val_loss: 0.3468 - val_mean_absolute_error: 0.4212 - val_weighted_mean_absolute_error: 0.5131\n",
            "\n",
            "Epoch 01064: val_loss did not improve from 0.34652\n",
            "Epoch 1065/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3579 - mean_absolute_error: 0.4321 - weighted_mean_absolute_error: 0.5210 - val_loss: 0.3474 - val_mean_absolute_error: 0.4097 - val_weighted_mean_absolute_error: 0.5136\n",
            "\n",
            "Epoch 01065: val_loss did not improve from 0.34652\n",
            "Epoch 1066/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3552 - mean_absolute_error: 0.4228 - weighted_mean_absolute_error: 0.5203 - val_loss: 0.3466 - val_mean_absolute_error: 0.4191 - val_weighted_mean_absolute_error: 0.5120\n",
            "\n",
            "Epoch 01066: val_loss did not improve from 0.34652\n",
            "Epoch 1067/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3556 - mean_absolute_error: 0.4309 - weighted_mean_absolute_error: 0.5193 - val_loss: 0.3465 - val_mean_absolute_error: 0.4182 - val_weighted_mean_absolute_error: 0.5124\n",
            "\n",
            "Epoch 01067: val_loss improved from 0.34652 to 0.34649, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 1068/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3550 - mean_absolute_error: 0.4303 - weighted_mean_absolute_error: 0.5226 - val_loss: 0.3470 - val_mean_absolute_error: 0.4216 - val_weighted_mean_absolute_error: 0.5137\n",
            "\n",
            "Epoch 01068: val_loss did not improve from 0.34649\n",
            "Epoch 1069/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3538 - mean_absolute_error: 0.4283 - weighted_mean_absolute_error: 0.5236 - val_loss: 0.3463 - val_mean_absolute_error: 0.4220 - val_weighted_mean_absolute_error: 0.5120\n",
            "\n",
            "Epoch 01069: val_loss improved from 0.34649 to 0.34632, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 1070/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3544 - mean_absolute_error: 0.4305 - weighted_mean_absolute_error: 0.5253 - val_loss: 0.3460 - val_mean_absolute_error: 0.4247 - val_weighted_mean_absolute_error: 0.5124\n",
            "\n",
            "Epoch 01070: val_loss improved from 0.34632 to 0.34599, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 1071/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3546 - mean_absolute_error: 0.4338 - weighted_mean_absolute_error: 0.5192 - val_loss: 0.3470 - val_mean_absolute_error: 0.4235 - val_weighted_mean_absolute_error: 0.5129\n",
            "\n",
            "Epoch 01071: val_loss did not improve from 0.34599\n",
            "Epoch 1072/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3537 - mean_absolute_error: 0.4347 - weighted_mean_absolute_error: 0.5227 - val_loss: 0.3465 - val_mean_absolute_error: 0.4253 - val_weighted_mean_absolute_error: 0.5125\n",
            "\n",
            "Epoch 01072: val_loss did not improve from 0.34599\n",
            "Epoch 1073/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3560 - mean_absolute_error: 0.4402 - weighted_mean_absolute_error: 0.5208 - val_loss: 0.3463 - val_mean_absolute_error: 0.4270 - val_weighted_mean_absolute_error: 0.5130\n",
            "\n",
            "Epoch 01073: val_loss did not improve from 0.34599\n",
            "Epoch 1074/2000\n",
            "39/39 [==============================] - 18s 460ms/step - loss: 0.3567 - mean_absolute_error: 0.4373 - weighted_mean_absolute_error: 0.5221 - val_loss: 0.3467 - val_mean_absolute_error: 0.4213 - val_weighted_mean_absolute_error: 0.5125\n",
            "\n",
            "Epoch 01074: val_loss did not improve from 0.34599\n",
            "Epoch 1075/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3556 - mean_absolute_error: 0.4319 - weighted_mean_absolute_error: 0.5188 - val_loss: 0.3461 - val_mean_absolute_error: 0.4116 - val_weighted_mean_absolute_error: 0.5121\n",
            "\n",
            "Epoch 01075: val_loss did not improve from 0.34599\n",
            "Epoch 1076/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3551 - mean_absolute_error: 0.4303 - weighted_mean_absolute_error: 0.5194 - val_loss: 0.3473 - val_mean_absolute_error: 0.4210 - val_weighted_mean_absolute_error: 0.5132\n",
            "\n",
            "Epoch 01076: val_loss did not improve from 0.34599\n",
            "Epoch 1077/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3537 - mean_absolute_error: 0.4395 - weighted_mean_absolute_error: 0.5181 - val_loss: 0.3468 - val_mean_absolute_error: 0.4203 - val_weighted_mean_absolute_error: 0.5138\n",
            "\n",
            "Epoch 01077: val_loss did not improve from 0.34599\n",
            "Epoch 1078/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3549 - mean_absolute_error: 0.4311 - weighted_mean_absolute_error: 0.5244 - val_loss: 0.3470 - val_mean_absolute_error: 0.4302 - val_weighted_mean_absolute_error: 0.5134\n",
            "\n",
            "Epoch 01078: val_loss did not improve from 0.34599\n",
            "Epoch 1079/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3566 - mean_absolute_error: 0.4396 - weighted_mean_absolute_error: 0.5225 - val_loss: 0.3473 - val_mean_absolute_error: 0.4207 - val_weighted_mean_absolute_error: 0.5123\n",
            "\n",
            "Epoch 01079: val_loss did not improve from 0.34599\n",
            "Epoch 1080/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3537 - mean_absolute_error: 0.4318 - weighted_mean_absolute_error: 0.5200 - val_loss: 0.3473 - val_mean_absolute_error: 0.4203 - val_weighted_mean_absolute_error: 0.5142\n",
            "\n",
            "Epoch 01080: val_loss did not improve from 0.34599\n",
            "Epoch 1081/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3541 - mean_absolute_error: 0.4322 - weighted_mean_absolute_error: 0.5202 - val_loss: 0.3464 - val_mean_absolute_error: 0.4274 - val_weighted_mean_absolute_error: 0.5123\n",
            "\n",
            "Epoch 01081: val_loss did not improve from 0.34599\n",
            "Epoch 1082/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3528 - mean_absolute_error: 0.4303 - weighted_mean_absolute_error: 0.5214 - val_loss: 0.3472 - val_mean_absolute_error: 0.4297 - val_weighted_mean_absolute_error: 0.5129\n",
            "\n",
            "Epoch 01082: val_loss did not improve from 0.34599\n",
            "Epoch 1083/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3575 - mean_absolute_error: 0.4321 - weighted_mean_absolute_error: 0.5209 - val_loss: 0.3463 - val_mean_absolute_error: 0.4172 - val_weighted_mean_absolute_error: 0.5128\n",
            "\n",
            "Epoch 01083: val_loss did not improve from 0.34599\n",
            "Epoch 1084/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3543 - mean_absolute_error: 0.4269 - weighted_mean_absolute_error: 0.5250 - val_loss: 0.3470 - val_mean_absolute_error: 0.4301 - val_weighted_mean_absolute_error: 0.5129\n",
            "\n",
            "Epoch 01084: val_loss did not improve from 0.34599\n",
            "Epoch 1085/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3560 - mean_absolute_error: 0.4336 - weighted_mean_absolute_error: 0.5212 - val_loss: 0.3468 - val_mean_absolute_error: 0.4285 - val_weighted_mean_absolute_error: 0.5128\n",
            "\n",
            "Epoch 01085: val_loss did not improve from 0.34599\n",
            "Epoch 1086/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3549 - mean_absolute_error: 0.4338 - weighted_mean_absolute_error: 0.5216 - val_loss: 0.3471 - val_mean_absolute_error: 0.4289 - val_weighted_mean_absolute_error: 0.5131\n",
            "\n",
            "Epoch 01086: val_loss did not improve from 0.34599\n",
            "Epoch 1087/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3552 - mean_absolute_error: 0.4371 - weighted_mean_absolute_error: 0.5227 - val_loss: 0.3470 - val_mean_absolute_error: 0.4167 - val_weighted_mean_absolute_error: 0.5138\n",
            "\n",
            "Epoch 01087: val_loss did not improve from 0.34599\n",
            "Epoch 1088/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3536 - mean_absolute_error: 0.4312 - weighted_mean_absolute_error: 0.5215 - val_loss: 0.3464 - val_mean_absolute_error: 0.4221 - val_weighted_mean_absolute_error: 0.5126\n",
            "\n",
            "Epoch 01088: val_loss did not improve from 0.34599\n",
            "Epoch 1089/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3556 - mean_absolute_error: 0.4296 - weighted_mean_absolute_error: 0.5227 - val_loss: 0.3467 - val_mean_absolute_error: 0.4143 - val_weighted_mean_absolute_error: 0.5129\n",
            "\n",
            "Epoch 01089: val_loss did not improve from 0.34599\n",
            "Epoch 1090/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3541 - mean_absolute_error: 0.4299 - weighted_mean_absolute_error: 0.5184 - val_loss: 0.3466 - val_mean_absolute_error: 0.4240 - val_weighted_mean_absolute_error: 0.5128\n",
            "\n",
            "Epoch 01090: val_loss did not improve from 0.34599\n",
            "Epoch 1091/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3548 - mean_absolute_error: 0.4386 - weighted_mean_absolute_error: 0.5219 - val_loss: 0.3468 - val_mean_absolute_error: 0.4201 - val_weighted_mean_absolute_error: 0.5135\n",
            "\n",
            "Epoch 01091: val_loss did not improve from 0.34599\n",
            "Epoch 1092/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3516 - mean_absolute_error: 0.4310 - weighted_mean_absolute_error: 0.5253 - val_loss: 0.3461 - val_mean_absolute_error: 0.4295 - val_weighted_mean_absolute_error: 0.5126\n",
            "\n",
            "Epoch 01092: val_loss did not improve from 0.34599\n",
            "Epoch 1093/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3539 - mean_absolute_error: 0.4262 - weighted_mean_absolute_error: 0.5219 - val_loss: 0.3463 - val_mean_absolute_error: 0.4250 - val_weighted_mean_absolute_error: 0.5126\n",
            "\n",
            "Epoch 01093: val_loss did not improve from 0.34599\n",
            "Epoch 1094/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3555 - mean_absolute_error: 0.4292 - weighted_mean_absolute_error: 0.5214 - val_loss: 0.3467 - val_mean_absolute_error: 0.4178 - val_weighted_mean_absolute_error: 0.5129\n",
            "\n",
            "Epoch 01094: val_loss did not improve from 0.34599\n",
            "Epoch 1095/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3542 - mean_absolute_error: 0.4306 - weighted_mean_absolute_error: 0.5211 - val_loss: 0.3465 - val_mean_absolute_error: 0.4203 - val_weighted_mean_absolute_error: 0.5127\n",
            "\n",
            "Epoch 01095: val_loss did not improve from 0.34599\n",
            "Epoch 1096/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3554 - mean_absolute_error: 0.4308 - weighted_mean_absolute_error: 0.5190 - val_loss: 0.3474 - val_mean_absolute_error: 0.4185 - val_weighted_mean_absolute_error: 0.5137\n",
            "\n",
            "Epoch 01096: val_loss did not improve from 0.34599\n",
            "Epoch 1097/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3540 - mean_absolute_error: 0.4380 - weighted_mean_absolute_error: 0.5221 - val_loss: 0.3465 - val_mean_absolute_error: 0.4257 - val_weighted_mean_absolute_error: 0.5126\n",
            "\n",
            "Epoch 01097: val_loss did not improve from 0.34599\n",
            "Epoch 1098/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3570 - mean_absolute_error: 0.4448 - weighted_mean_absolute_error: 0.5218 - val_loss: 0.3465 - val_mean_absolute_error: 0.4223 - val_weighted_mean_absolute_error: 0.5130\n",
            "\n",
            "Epoch 01098: val_loss did not improve from 0.34599\n",
            "Epoch 1099/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3562 - mean_absolute_error: 0.4314 - weighted_mean_absolute_error: 0.5183 - val_loss: 0.3460 - val_mean_absolute_error: 0.4222 - val_weighted_mean_absolute_error: 0.5120\n",
            "\n",
            "Epoch 01099: val_loss did not improve from 0.34599\n",
            "Epoch 1100/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3550 - mean_absolute_error: 0.4358 - weighted_mean_absolute_error: 0.5200 - val_loss: 0.3466 - val_mean_absolute_error: 0.4254 - val_weighted_mean_absolute_error: 0.5127\n",
            "\n",
            "Epoch 01100: val_loss did not improve from 0.34599\n",
            "Epoch 1101/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3554 - mean_absolute_error: 0.4299 - weighted_mean_absolute_error: 0.5184 - val_loss: 0.3465 - val_mean_absolute_error: 0.4312 - val_weighted_mean_absolute_error: 0.5129\n",
            "\n",
            "Epoch 01101: val_loss did not improve from 0.34599\n",
            "Epoch 1102/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3544 - mean_absolute_error: 0.4326 - weighted_mean_absolute_error: 0.5184 - val_loss: 0.3461 - val_mean_absolute_error: 0.4124 - val_weighted_mean_absolute_error: 0.5125\n",
            "\n",
            "Epoch 01102: val_loss did not improve from 0.34599\n",
            "Epoch 1103/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3570 - mean_absolute_error: 0.4305 - weighted_mean_absolute_error: 0.5242 - val_loss: 0.3456 - val_mean_absolute_error: 0.4223 - val_weighted_mean_absolute_error: 0.5120\n",
            "\n",
            "Epoch 01103: val_loss improved from 0.34599 to 0.34561, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 1104/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3519 - mean_absolute_error: 0.4316 - weighted_mean_absolute_error: 0.5211 - val_loss: 0.3468 - val_mean_absolute_error: 0.4141 - val_weighted_mean_absolute_error: 0.5130\n",
            "\n",
            "Epoch 01104: val_loss did not improve from 0.34561\n",
            "Epoch 1105/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3511 - mean_absolute_error: 0.4204 - weighted_mean_absolute_error: 0.5229 - val_loss: 0.3482 - val_mean_absolute_error: 0.4268 - val_weighted_mean_absolute_error: 0.5147\n",
            "\n",
            "Epoch 01105: val_loss did not improve from 0.34561\n",
            "Epoch 1106/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3576 - mean_absolute_error: 0.4339 - weighted_mean_absolute_error: 0.5228 - val_loss: 0.3460 - val_mean_absolute_error: 0.4234 - val_weighted_mean_absolute_error: 0.5119\n",
            "\n",
            "Epoch 01106: val_loss did not improve from 0.34561\n",
            "Epoch 1107/2000\n",
            "39/39 [==============================] - 18s 460ms/step - loss: 0.3524 - mean_absolute_error: 0.4326 - weighted_mean_absolute_error: 0.5215 - val_loss: 0.3461 - val_mean_absolute_error: 0.4277 - val_weighted_mean_absolute_error: 0.5120\n",
            "\n",
            "Epoch 01107: val_loss did not improve from 0.34561\n",
            "Epoch 1108/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3546 - mean_absolute_error: 0.4356 - weighted_mean_absolute_error: 0.5238 - val_loss: 0.3463 - val_mean_absolute_error: 0.4224 - val_weighted_mean_absolute_error: 0.5129\n",
            "\n",
            "Epoch 01108: val_loss did not improve from 0.34561\n",
            "Epoch 1109/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3549 - mean_absolute_error: 0.4379 - weighted_mean_absolute_error: 0.5205 - val_loss: 0.3454 - val_mean_absolute_error: 0.4188 - val_weighted_mean_absolute_error: 0.5112\n",
            "\n",
            "Epoch 01109: val_loss improved from 0.34561 to 0.34541, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 1110/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3538 - mean_absolute_error: 0.4317 - weighted_mean_absolute_error: 0.5216 - val_loss: 0.3465 - val_mean_absolute_error: 0.4100 - val_weighted_mean_absolute_error: 0.5124\n",
            "\n",
            "Epoch 01110: val_loss did not improve from 0.34541\n",
            "Epoch 1111/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3556 - mean_absolute_error: 0.4280 - weighted_mean_absolute_error: 0.5195 - val_loss: 0.3465 - val_mean_absolute_error: 0.4246 - val_weighted_mean_absolute_error: 0.5125\n",
            "\n",
            "Epoch 01111: val_loss did not improve from 0.34541\n",
            "Epoch 1112/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3534 - mean_absolute_error: 0.4331 - weighted_mean_absolute_error: 0.5203 - val_loss: 0.3479 - val_mean_absolute_error: 0.4267 - val_weighted_mean_absolute_error: 0.5142\n",
            "\n",
            "Epoch 01112: val_loss did not improve from 0.34541\n",
            "Epoch 1113/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3568 - mean_absolute_error: 0.4409 - weighted_mean_absolute_error: 0.5189 - val_loss: 0.3463 - val_mean_absolute_error: 0.4440 - val_weighted_mean_absolute_error: 0.5123\n",
            "\n",
            "Epoch 01113: val_loss did not improve from 0.34541\n",
            "Epoch 1114/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3554 - mean_absolute_error: 0.4357 - weighted_mean_absolute_error: 0.5234 - val_loss: 0.3468 - val_mean_absolute_error: 0.4283 - val_weighted_mean_absolute_error: 0.5136\n",
            "\n",
            "Epoch 01114: val_loss did not improve from 0.34541\n",
            "Epoch 1115/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3548 - mean_absolute_error: 0.4334 - weighted_mean_absolute_error: 0.5236 - val_loss: 0.3460 - val_mean_absolute_error: 0.4214 - val_weighted_mean_absolute_error: 0.5116\n",
            "\n",
            "Epoch 01115: val_loss did not improve from 0.34541\n",
            "Epoch 1116/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3563 - mean_absolute_error: 0.4308 - weighted_mean_absolute_error: 0.5234 - val_loss: 0.3478 - val_mean_absolute_error: 0.4237 - val_weighted_mean_absolute_error: 0.5148\n",
            "\n",
            "Epoch 01116: val_loss did not improve from 0.34541\n",
            "Epoch 1117/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3559 - mean_absolute_error: 0.4402 - weighted_mean_absolute_error: 0.5206 - val_loss: 0.3466 - val_mean_absolute_error: 0.4276 - val_weighted_mean_absolute_error: 0.5131\n",
            "\n",
            "Epoch 01117: val_loss did not improve from 0.34541\n",
            "Epoch 1118/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3555 - mean_absolute_error: 0.4355 - weighted_mean_absolute_error: 0.5241 - val_loss: 0.3463 - val_mean_absolute_error: 0.4208 - val_weighted_mean_absolute_error: 0.5126\n",
            "\n",
            "Epoch 01118: val_loss did not improve from 0.34541\n",
            "Epoch 1119/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3544 - mean_absolute_error: 0.4334 - weighted_mean_absolute_error: 0.5217 - val_loss: 0.3456 - val_mean_absolute_error: 0.4284 - val_weighted_mean_absolute_error: 0.5121\n",
            "\n",
            "Epoch 01119: val_loss did not improve from 0.34541\n",
            "Epoch 1120/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3538 - mean_absolute_error: 0.4364 - weighted_mean_absolute_error: 0.5228 - val_loss: 0.3465 - val_mean_absolute_error: 0.4246 - val_weighted_mean_absolute_error: 0.5128\n",
            "\n",
            "Epoch 01120: val_loss did not improve from 0.34541\n",
            "Epoch 1121/2000\n",
            "39/39 [==============================] - 18s 460ms/step - loss: 0.3550 - mean_absolute_error: 0.4328 - weighted_mean_absolute_error: 0.5210 - val_loss: 0.3458 - val_mean_absolute_error: 0.4125 - val_weighted_mean_absolute_error: 0.5124\n",
            "\n",
            "Epoch 01121: val_loss did not improve from 0.34541\n",
            "Epoch 1122/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3534 - mean_absolute_error: 0.4210 - weighted_mean_absolute_error: 0.5223 - val_loss: 0.3460 - val_mean_absolute_error: 0.4244 - val_weighted_mean_absolute_error: 0.5132\n",
            "\n",
            "Epoch 01122: val_loss did not improve from 0.34541\n",
            "Epoch 1123/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3549 - mean_absolute_error: 0.4262 - weighted_mean_absolute_error: 0.5217 - val_loss: 0.3463 - val_mean_absolute_error: 0.4154 - val_weighted_mean_absolute_error: 0.5127\n",
            "\n",
            "Epoch 01123: val_loss did not improve from 0.34541\n",
            "Epoch 1124/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3551 - mean_absolute_error: 0.4322 - weighted_mean_absolute_error: 0.5198 - val_loss: 0.3465 - val_mean_absolute_error: 0.4095 - val_weighted_mean_absolute_error: 0.5126\n",
            "\n",
            "Epoch 01124: val_loss did not improve from 0.34541\n",
            "Epoch 1125/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3532 - mean_absolute_error: 0.4267 - weighted_mean_absolute_error: 0.5219 - val_loss: 0.3462 - val_mean_absolute_error: 0.4110 - val_weighted_mean_absolute_error: 0.5122\n",
            "\n",
            "Epoch 01125: val_loss did not improve from 0.34541\n",
            "Epoch 1126/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3516 - mean_absolute_error: 0.4179 - weighted_mean_absolute_error: 0.5206 - val_loss: 0.3460 - val_mean_absolute_error: 0.4124 - val_weighted_mean_absolute_error: 0.5121\n",
            "\n",
            "Epoch 01126: val_loss did not improve from 0.34541\n",
            "Epoch 1127/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3524 - mean_absolute_error: 0.4222 - weighted_mean_absolute_error: 0.5195 - val_loss: 0.3465 - val_mean_absolute_error: 0.4182 - val_weighted_mean_absolute_error: 0.5124\n",
            "\n",
            "Epoch 01127: val_loss did not improve from 0.34541\n",
            "Epoch 1128/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3556 - mean_absolute_error: 0.4265 - weighted_mean_absolute_error: 0.5195 - val_loss: 0.3463 - val_mean_absolute_error: 0.4188 - val_weighted_mean_absolute_error: 0.5123\n",
            "\n",
            "Epoch 01128: val_loss did not improve from 0.34541\n",
            "Epoch 1129/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3550 - mean_absolute_error: 0.4260 - weighted_mean_absolute_error: 0.5178 - val_loss: 0.3455 - val_mean_absolute_error: 0.4149 - val_weighted_mean_absolute_error: 0.5116\n",
            "\n",
            "Epoch 01129: val_loss did not improve from 0.34541\n",
            "Epoch 1130/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3544 - mean_absolute_error: 0.4292 - weighted_mean_absolute_error: 0.5182 - val_loss: 0.3464 - val_mean_absolute_error: 0.4207 - val_weighted_mean_absolute_error: 0.5124\n",
            "\n",
            "Epoch 01130: val_loss did not improve from 0.34541\n",
            "Epoch 1131/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3555 - mean_absolute_error: 0.4338 - weighted_mean_absolute_error: 0.5215 - val_loss: 0.3457 - val_mean_absolute_error: 0.4334 - val_weighted_mean_absolute_error: 0.5120\n",
            "\n",
            "Epoch 01131: val_loss did not improve from 0.34541\n",
            "Epoch 1132/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3532 - mean_absolute_error: 0.4339 - weighted_mean_absolute_error: 0.5189 - val_loss: 0.3469 - val_mean_absolute_error: 0.4214 - val_weighted_mean_absolute_error: 0.5130\n",
            "\n",
            "Epoch 01132: val_loss did not improve from 0.34541\n",
            "Epoch 1133/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3537 - mean_absolute_error: 0.4309 - weighted_mean_absolute_error: 0.5194 - val_loss: 0.3465 - val_mean_absolute_error: 0.4121 - val_weighted_mean_absolute_error: 0.5120\n",
            "\n",
            "Epoch 01133: val_loss did not improve from 0.34541\n",
            "Epoch 1134/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3536 - mean_absolute_error: 0.4303 - weighted_mean_absolute_error: 0.5215 - val_loss: 0.3458 - val_mean_absolute_error: 0.4244 - val_weighted_mean_absolute_error: 0.5123\n",
            "\n",
            "Epoch 01134: val_loss did not improve from 0.34541\n",
            "Epoch 1135/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3547 - mean_absolute_error: 0.4372 - weighted_mean_absolute_error: 0.5218 - val_loss: 0.3469 - val_mean_absolute_error: 0.4222 - val_weighted_mean_absolute_error: 0.5136\n",
            "\n",
            "Epoch 01135: val_loss did not improve from 0.34541\n",
            "Epoch 1136/2000\n",
            "39/39 [==============================] - 18s 460ms/step - loss: 0.3545 - mean_absolute_error: 0.4349 - weighted_mean_absolute_error: 0.5208 - val_loss: 0.3459 - val_mean_absolute_error: 0.4157 - val_weighted_mean_absolute_error: 0.5127\n",
            "\n",
            "Epoch 01136: val_loss did not improve from 0.34541\n",
            "Epoch 1137/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3551 - mean_absolute_error: 0.4324 - weighted_mean_absolute_error: 0.5206 - val_loss: 0.3469 - val_mean_absolute_error: 0.4257 - val_weighted_mean_absolute_error: 0.5135\n",
            "\n",
            "Epoch 01137: val_loss did not improve from 0.34541\n",
            "Epoch 1138/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3551 - mean_absolute_error: 0.4382 - weighted_mean_absolute_error: 0.5177 - val_loss: 0.3464 - val_mean_absolute_error: 0.4302 - val_weighted_mean_absolute_error: 0.5134\n",
            "\n",
            "Epoch 01138: val_loss did not improve from 0.34541\n",
            "Epoch 1139/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3546 - mean_absolute_error: 0.4358 - weighted_mean_absolute_error: 0.5232 - val_loss: 0.3461 - val_mean_absolute_error: 0.4337 - val_weighted_mean_absolute_error: 0.5122\n",
            "\n",
            "Epoch 01139: val_loss did not improve from 0.34541\n",
            "Epoch 1140/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3560 - mean_absolute_error: 0.4326 - weighted_mean_absolute_error: 0.5232 - val_loss: 0.3461 - val_mean_absolute_error: 0.4202 - val_weighted_mean_absolute_error: 0.5122\n",
            "\n",
            "Epoch 01140: val_loss did not improve from 0.34541\n",
            "Epoch 1141/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3544 - mean_absolute_error: 0.4337 - weighted_mean_absolute_error: 0.5195 - val_loss: 0.3465 - val_mean_absolute_error: 0.4155 - val_weighted_mean_absolute_error: 0.5134\n",
            "\n",
            "Epoch 01141: val_loss did not improve from 0.34541\n",
            "Epoch 1142/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3539 - mean_absolute_error: 0.4322 - weighted_mean_absolute_error: 0.5220 - val_loss: 0.3448 - val_mean_absolute_error: 0.4205 - val_weighted_mean_absolute_error: 0.5109\n",
            "\n",
            "Epoch 01142: val_loss improved from 0.34541 to 0.34481, saving model to /content/drive/MyDrive/CSAGNs/models_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/weights_lr1e3_4paper.h5\n",
            "Epoch 1143/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3571 - mean_absolute_error: 0.4350 - weighted_mean_absolute_error: 0.5227 - val_loss: 0.3453 - val_mean_absolute_error: 0.4257 - val_weighted_mean_absolute_error: 0.5110\n",
            "\n",
            "Epoch 01143: val_loss did not improve from 0.34481\n",
            "Epoch 1144/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3538 - mean_absolute_error: 0.4318 - weighted_mean_absolute_error: 0.5223 - val_loss: 0.3464 - val_mean_absolute_error: 0.4146 - val_weighted_mean_absolute_error: 0.5125\n",
            "\n",
            "Epoch 01144: val_loss did not improve from 0.34481\n",
            "Epoch 1145/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3539 - mean_absolute_error: 0.4326 - weighted_mean_absolute_error: 0.5219 - val_loss: 0.3456 - val_mean_absolute_error: 0.4231 - val_weighted_mean_absolute_error: 0.5118\n",
            "\n",
            "Epoch 01145: val_loss did not improve from 0.34481\n",
            "Epoch 1146/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3550 - mean_absolute_error: 0.4381 - weighted_mean_absolute_error: 0.5206 - val_loss: 0.3456 - val_mean_absolute_error: 0.4301 - val_weighted_mean_absolute_error: 0.5118\n",
            "\n",
            "Epoch 01146: val_loss did not improve from 0.34481\n",
            "Epoch 1147/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3560 - mean_absolute_error: 0.4325 - weighted_mean_absolute_error: 0.5212 - val_loss: 0.3471 - val_mean_absolute_error: 0.4254 - val_weighted_mean_absolute_error: 0.5127\n",
            "\n",
            "Epoch 01147: val_loss did not improve from 0.34481\n",
            "Epoch 1148/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3547 - mean_absolute_error: 0.4278 - weighted_mean_absolute_error: 0.5210 - val_loss: 0.3466 - val_mean_absolute_error: 0.4144 - val_weighted_mean_absolute_error: 0.5127\n",
            "\n",
            "Epoch 01148: val_loss did not improve from 0.34481\n",
            "Epoch 1149/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3530 - mean_absolute_error: 0.4222 - weighted_mean_absolute_error: 0.5208 - val_loss: 0.3464 - val_mean_absolute_error: 0.4088 - val_weighted_mean_absolute_error: 0.5138\n",
            "\n",
            "Epoch 01149: val_loss did not improve from 0.34481\n",
            "Epoch 1150/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3540 - mean_absolute_error: 0.4268 - weighted_mean_absolute_error: 0.5210 - val_loss: 0.3463 - val_mean_absolute_error: 0.4184 - val_weighted_mean_absolute_error: 0.5128\n",
            "\n",
            "Epoch 01150: val_loss did not improve from 0.34481\n",
            "Epoch 1151/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3518 - mean_absolute_error: 0.4304 - weighted_mean_absolute_error: 0.5198 - val_loss: 0.3466 - val_mean_absolute_error: 0.4116 - val_weighted_mean_absolute_error: 0.5131\n",
            "\n",
            "Epoch 01151: val_loss did not improve from 0.34481\n",
            "Epoch 1152/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3538 - mean_absolute_error: 0.4292 - weighted_mean_absolute_error: 0.5189 - val_loss: 0.3457 - val_mean_absolute_error: 0.4283 - val_weighted_mean_absolute_error: 0.5118\n",
            "\n",
            "Epoch 01152: val_loss did not improve from 0.34481\n",
            "Epoch 1153/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3554 - mean_absolute_error: 0.4393 - weighted_mean_absolute_error: 0.5211 - val_loss: 0.3477 - val_mean_absolute_error: 0.4399 - val_weighted_mean_absolute_error: 0.5137\n",
            "\n",
            "Epoch 01153: val_loss did not improve from 0.34481\n",
            "Epoch 1154/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3571 - mean_absolute_error: 0.4418 - weighted_mean_absolute_error: 0.5195 - val_loss: 0.3456 - val_mean_absolute_error: 0.4193 - val_weighted_mean_absolute_error: 0.5117\n",
            "\n",
            "Epoch 01154: val_loss did not improve from 0.34481\n",
            "Epoch 1155/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3548 - mean_absolute_error: 0.4334 - weighted_mean_absolute_error: 0.5214 - val_loss: 0.3476 - val_mean_absolute_error: 0.4147 - val_weighted_mean_absolute_error: 0.5136\n",
            "\n",
            "Epoch 01155: val_loss did not improve from 0.34481\n",
            "Epoch 1156/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3533 - mean_absolute_error: 0.4291 - weighted_mean_absolute_error: 0.5223 - val_loss: 0.3454 - val_mean_absolute_error: 0.4325 - val_weighted_mean_absolute_error: 0.5120\n",
            "\n",
            "Epoch 01156: val_loss did not improve from 0.34481\n",
            "Epoch 1157/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3533 - mean_absolute_error: 0.4283 - weighted_mean_absolute_error: 0.5196 - val_loss: 0.3453 - val_mean_absolute_error: 0.4134 - val_weighted_mean_absolute_error: 0.5116\n",
            "\n",
            "Epoch 01157: val_loss did not improve from 0.34481\n",
            "Epoch 1158/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3547 - mean_absolute_error: 0.4347 - weighted_mean_absolute_error: 0.5221 - val_loss: 0.3449 - val_mean_absolute_error: 0.4352 - val_weighted_mean_absolute_error: 0.5114\n",
            "\n",
            "Epoch 01158: val_loss did not improve from 0.34481\n",
            "Epoch 1159/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3541 - mean_absolute_error: 0.4394 - weighted_mean_absolute_error: 0.5247 - val_loss: 0.3452 - val_mean_absolute_error: 0.4237 - val_weighted_mean_absolute_error: 0.5121\n",
            "\n",
            "Epoch 01159: val_loss did not improve from 0.34481\n",
            "Epoch 1160/2000\n",
            "39/39 [==============================] - 18s 461ms/step - loss: 0.3540 - mean_absolute_error: 0.4294 - weighted_mean_absolute_error: 0.5196 - val_loss: 0.3458 - val_mean_absolute_error: 0.4303 - val_weighted_mean_absolute_error: 0.5119\n",
            "\n",
            "Epoch 01160: val_loss did not improve from 0.34481\n",
            "Epoch 1161/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3534 - mean_absolute_error: 0.4336 - weighted_mean_absolute_error: 0.5205 - val_loss: 0.3456 - val_mean_absolute_error: 0.4375 - val_weighted_mean_absolute_error: 0.5116\n",
            "\n",
            "Epoch 01161: val_loss did not improve from 0.34481\n",
            "Epoch 1162/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3522 - mean_absolute_error: 0.4365 - weighted_mean_absolute_error: 0.5201 - val_loss: 0.3466 - val_mean_absolute_error: 0.4297 - val_weighted_mean_absolute_error: 0.5130\n",
            "\n",
            "Epoch 01162: val_loss did not improve from 0.34481\n",
            "Epoch 1163/2000\n",
            "39/39 [==============================] - 18s 462ms/step - loss: 0.3548 - mean_absolute_error: 0.4400 - weighted_mean_absolute_error: 0.5209 - val_loss: 0.3463 - val_mean_absolute_error: 0.4214 - val_weighted_mean_absolute_error: 0.5119\n",
            "\n",
            "Epoch 01163: val_loss did not improve from 0.34481\n",
            "Epoch 1164/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3523 - mean_absolute_error: 0.4346 - weighted_mean_absolute_error: 0.5208 - val_loss: 0.3459 - val_mean_absolute_error: 0.4240 - val_weighted_mean_absolute_error: 0.5125\n",
            "\n",
            "Epoch 01164: val_loss did not improve from 0.34481\n",
            "Epoch 1165/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3537 - mean_absolute_error: 0.4340 - weighted_mean_absolute_error: 0.5208 - val_loss: 0.3457 - val_mean_absolute_error: 0.4125 - val_weighted_mean_absolute_error: 0.5122\n",
            "\n",
            "Epoch 01165: val_loss did not improve from 0.34481\n",
            "Epoch 1166/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3552 - mean_absolute_error: 0.4336 - weighted_mean_absolute_error: 0.5216 - val_loss: 0.3452 - val_mean_absolute_error: 0.4230 - val_weighted_mean_absolute_error: 0.5118\n",
            "\n",
            "Epoch 01166: val_loss did not improve from 0.34481\n",
            "Epoch 1167/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3513 - mean_absolute_error: 0.4363 - weighted_mean_absolute_error: 0.5223 - val_loss: 0.3454 - val_mean_absolute_error: 0.4129 - val_weighted_mean_absolute_error: 0.5121\n",
            "\n",
            "Epoch 01167: val_loss did not improve from 0.34481\n",
            "Epoch 1168/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3516 - mean_absolute_error: 0.4378 - weighted_mean_absolute_error: 0.5188 - val_loss: 0.3456 - val_mean_absolute_error: 0.4166 - val_weighted_mean_absolute_error: 0.5129\n",
            "\n",
            "Epoch 01168: val_loss did not improve from 0.34481\n",
            "Epoch 1169/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3527 - mean_absolute_error: 0.4353 - weighted_mean_absolute_error: 0.5167 - val_loss: 0.3456 - val_mean_absolute_error: 0.4205 - val_weighted_mean_absolute_error: 0.5124\n",
            "\n",
            "Epoch 01169: val_loss did not improve from 0.34481\n",
            "Epoch 1170/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3516 - mean_absolute_error: 0.4329 - weighted_mean_absolute_error: 0.5189 - val_loss: 0.3462 - val_mean_absolute_error: 0.4088 - val_weighted_mean_absolute_error: 0.5129\n",
            "\n",
            "Epoch 01170: val_loss did not improve from 0.34481\n",
            "Epoch 1171/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3514 - mean_absolute_error: 0.4300 - weighted_mean_absolute_error: 0.5197 - val_loss: 0.3454 - val_mean_absolute_error: 0.4188 - val_weighted_mean_absolute_error: 0.5118\n",
            "\n",
            "Epoch 01171: val_loss did not improve from 0.34481\n",
            "Epoch 1172/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3564 - mean_absolute_error: 0.4351 - weighted_mean_absolute_error: 0.5208 - val_loss: 0.3457 - val_mean_absolute_error: 0.4222 - val_weighted_mean_absolute_error: 0.5123\n",
            "\n",
            "Epoch 01172: val_loss did not improve from 0.34481\n",
            "Epoch 1173/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3538 - mean_absolute_error: 0.4325 - weighted_mean_absolute_error: 0.5212 - val_loss: 0.3458 - val_mean_absolute_error: 0.4330 - val_weighted_mean_absolute_error: 0.5120\n",
            "\n",
            "Epoch 01173: val_loss did not improve from 0.34481\n",
            "Epoch 1174/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3540 - mean_absolute_error: 0.4403 - weighted_mean_absolute_error: 0.5217 - val_loss: 0.3459 - val_mean_absolute_error: 0.4214 - val_weighted_mean_absolute_error: 0.5125\n",
            "\n",
            "Epoch 01174: val_loss did not improve from 0.34481\n",
            "Epoch 1175/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3532 - mean_absolute_error: 0.4257 - weighted_mean_absolute_error: 0.5221 - val_loss: 0.3457 - val_mean_absolute_error: 0.4210 - val_weighted_mean_absolute_error: 0.5123\n",
            "\n",
            "Epoch 01175: val_loss did not improve from 0.34481\n",
            "Epoch 1176/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3525 - mean_absolute_error: 0.4352 - weighted_mean_absolute_error: 0.5192 - val_loss: 0.3455 - val_mean_absolute_error: 0.4102 - val_weighted_mean_absolute_error: 0.5126\n",
            "\n",
            "Epoch 01176: val_loss did not improve from 0.34481\n",
            "Epoch 1177/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3570 - mean_absolute_error: 0.4316 - weighted_mean_absolute_error: 0.5210 - val_loss: 0.3455 - val_mean_absolute_error: 0.4204 - val_weighted_mean_absolute_error: 0.5120\n",
            "\n",
            "Epoch 01177: val_loss did not improve from 0.34481\n",
            "Epoch 1178/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3538 - mean_absolute_error: 0.4338 - weighted_mean_absolute_error: 0.5202 - val_loss: 0.3451 - val_mean_absolute_error: 0.4182 - val_weighted_mean_absolute_error: 0.5119\n",
            "\n",
            "Epoch 01178: val_loss did not improve from 0.34481\n",
            "Epoch 1179/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3521 - mean_absolute_error: 0.4341 - weighted_mean_absolute_error: 0.5184 - val_loss: 0.3449 - val_mean_absolute_error: 0.4368 - val_weighted_mean_absolute_error: 0.5118\n",
            "\n",
            "Epoch 01179: val_loss did not improve from 0.34481\n",
            "Epoch 1180/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3531 - mean_absolute_error: 0.4460 - weighted_mean_absolute_error: 0.5198 - val_loss: 0.3462 - val_mean_absolute_error: 0.4414 - val_weighted_mean_absolute_error: 0.5131\n",
            "\n",
            "Epoch 01180: val_loss did not improve from 0.34481\n",
            "Epoch 1181/2000\n",
            "39/39 [==============================] - 18s 463ms/step - loss: 0.3517 - mean_absolute_error: 0.4392 - weighted_mean_absolute_error: 0.5203 - val_loss: 0.3456 - val_mean_absolute_error: 0.4205 - val_weighted_mean_absolute_error: 0.5125\n",
            "\n",
            "Epoch 01181: val_loss did not improve from 0.34481\n",
            "Epoch 1182/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3525 - mean_absolute_error: 0.4352 - weighted_mean_absolute_error: 0.5207 - val_loss: 0.3457 - val_mean_absolute_error: 0.4280 - val_weighted_mean_absolute_error: 0.5121\n",
            "\n",
            "Epoch 01182: val_loss did not improve from 0.34481\n",
            "Epoch 1183/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3503 - mean_absolute_error: 0.4365 - weighted_mean_absolute_error: 0.5170 - val_loss: 0.3450 - val_mean_absolute_error: 0.4273 - val_weighted_mean_absolute_error: 0.5114\n",
            "\n",
            "Epoch 01183: val_loss did not improve from 0.34481\n",
            "Epoch 1184/2000\n",
            "39/39 [==============================] - 18s 468ms/step - loss: 0.3524 - mean_absolute_error: 0.4322 - weighted_mean_absolute_error: 0.5206 - val_loss: 0.3461 - val_mean_absolute_error: 0.4253 - val_weighted_mean_absolute_error: 0.5131\n",
            "\n",
            "Epoch 01184: val_loss did not improve from 0.34481\n",
            "Epoch 1185/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3523 - mean_absolute_error: 0.4364 - weighted_mean_absolute_error: 0.5225 - val_loss: 0.3449 - val_mean_absolute_error: 0.4223 - val_weighted_mean_absolute_error: 0.5117\n",
            "\n",
            "Epoch 01185: val_loss did not improve from 0.34481\n",
            "Epoch 1186/2000\n",
            "39/39 [==============================] - 18s 467ms/step - loss: 0.3557 - mean_absolute_error: 0.4314 - weighted_mean_absolute_error: 0.5182 - val_loss: 0.3451 - val_mean_absolute_error: 0.4246 - val_weighted_mean_absolute_error: 0.5106\n",
            "\n",
            "Epoch 01186: val_loss did not improve from 0.34481\n",
            "Epoch 1187/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3526 - mean_absolute_error: 0.4330 - weighted_mean_absolute_error: 0.5205 - val_loss: 0.3462 - val_mean_absolute_error: 0.4157 - val_weighted_mean_absolute_error: 0.5131\n",
            "\n",
            "Epoch 01187: val_loss did not improve from 0.34481\n",
            "Epoch 1188/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3555 - mean_absolute_error: 0.4308 - weighted_mean_absolute_error: 0.5191 - val_loss: 0.3461 - val_mean_absolute_error: 0.4281 - val_weighted_mean_absolute_error: 0.5123\n",
            "\n",
            "Epoch 01188: val_loss did not improve from 0.34481\n",
            "Epoch 1189/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3526 - mean_absolute_error: 0.4347 - weighted_mean_absolute_error: 0.5187 - val_loss: 0.3456 - val_mean_absolute_error: 0.4141 - val_weighted_mean_absolute_error: 0.5121\n",
            "\n",
            "Epoch 01189: val_loss did not improve from 0.34481\n",
            "Epoch 1190/2000\n",
            "39/39 [==============================] - 18s 464ms/step - loss: 0.3530 - mean_absolute_error: 0.4355 - weighted_mean_absolute_error: 0.5218 - val_loss: 0.3454 - val_mean_absolute_error: 0.4265 - val_weighted_mean_absolute_error: 0.5115\n",
            "\n",
            "Epoch 01190: val_loss did not improve from 0.34481\n",
            "Epoch 1191/2000\n",
            "39/39 [==============================] - 18s 466ms/step - loss: 0.3533 - mean_absolute_error: 0.4294 - weighted_mean_absolute_error: 0.5201 - val_loss: 0.3451 - val_mean_absolute_error: 0.4298 - val_weighted_mean_absolute_error: 0.5121\n",
            "\n",
            "Epoch 01191: val_loss did not improve from 0.34481\n",
            "Epoch 1192/2000\n",
            "39/39 [==============================] - 18s 465ms/step - loss: 0.3536 - mean_absolute_error: 0.4378 - weighted_mean_absolute_error: 0.5198 - val_loss: 0.3451 - val_mean_absolute_error: 0.4218 - val_weighted_mean_absolute_error: 0.5119\n",
            "\n",
            "Epoch 01192: val_loss did not improve from 0.34481\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W1qjz4mMKYWg"
      },
      "source": [
        "train_loss = history.history['loss']\n",
        "val_loss   = history.history['val_loss']\n",
        "train_mae  = history.history['mean_absolute_error']\n",
        "val_mae    = history.history['val_mean_absolute_error']\n",
        "train_wmae  = history.history['weighted_mean_absolute_error']\n",
        "val_wmae    = history.history['val_weighted_mean_absolute_error']\n",
        "xc         = range(len(train_loss))\n",
        "\n",
        "df_history = pd.DataFrame({'epoch': xc, 'train_loss': train_loss, 'val_loss': val_loss, \n",
        "                           'train_mae': train_mae, 'val_mae': val_mae,\n",
        "                           'train_wmae': train_wmae, 'val_wmae': val_wmae})\n",
        "\n",
        "history_path = os.path.join(log_dir, 'train_history_4paper_lr1e3.csv')\n",
        "\n",
        "\n",
        "df_history.to_csv(history_path)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UGnDFQYAuZXl",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        },
        "outputId": "9c4c1d8a-3c62-46b3-c6e5-913f73a0509f"
      },
      "source": [
        "plt.figure()\n",
        "plt.plot(xc, train_loss)\n",
        "plt.plot(xc, val_loss)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f02304f7210>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yyJQVcdlWDbt",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        },
        "outputId": "1c643145-12f6-46d7-dabd-81b43bc7c130"
      },
      "source": [
        "model_loss = pd.DataFrame(model.history.history)\n",
        "model_loss.plot()\n",
        "plt.savefig('/content/drive/MyDrive/CSAGNs/plots_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/GRU2x32-encoding16_loss.png')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OWb5sBz14-Cm"
      },
      "source": [
        "Dividing the model into the encoding and the decoding parts, and getting encoded features and decoded light curves"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NoDr1oHb41EC"
      },
      "source": [
        "encode_model = Model(model.input, model.get_layer('lambda').output)\n",
        "decode_model = Model(model.input, model.output)\n",
        "encoding = encode_model.predict({'main_input': lcs_scaled, 'aux_input': np.delete(lcs_scaled, 1, axis=2)})\n",
        "decoding = decode_model.predict({'main_input': lcs_scaled, 'aux_input': np.delete(lcs_scaled, 1, axis=2)})"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-vrMA8bI41_S"
      },
      "source": [
        "encoding_train = encoding[0:int(0.8*len(lcs))]\n",
        "encoding_val = encoding[int(0.8*len(lcs)):len(lcs)]\n",
        "decoding_train = decoding[0:int(0.8*len(lcs))]\n",
        "decoding_val = decoding[int(0.8*len(lcs)):len(lcs)]\n",
        "X_raw_train = lcs_raw[0:int(0.8*len(lcs))]\n",
        "X_raw_val = lcs_raw[int(0.8*len(lcs)):len(lcs)]\n",
        "X_train = lcs_scaled[0:int(0.8*len(lcs))]\n",
        "X_val = lcs_scaled[int(0.8*len(lcs)):len(lcs)]\n",
        "scales_train = scales[0:int(0.8*len(lcs))]\n",
        "scales_val = scales[int(0.8*len(lcs)):len(lcs)]\n",
        "means_train = means[0:int(0.8*len(lcs))]\n",
        "means_val = means[int(0.8*len(lcs)):len(lcs)]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eXBcB_Y17bLI"
      },
      "source": [
        "Plotting modeled light curves and features for the training set"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TNxCNrt042I8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        },
        "outputId": "70799f21-c11e-4102-d480-566cdd514db0"
      },
      "source": [
        "i = 15000 #init num of the plotting data\n",
        "k=0 #initialize the counter\n",
        "fignum = 5\n",
        "plt.figure(figsize=(12, 4))\n",
        "#plotting raw-lightcurves and the decoded lightcurves \n",
        "for num in range(i,i+fignum):\n",
        "    plt.subplot(2, fignum, k+1)\n",
        "    #print(X_raw_train[num][:,0])\n",
        "    #print(365.0*np.cumsum(X_train[num][:, 0][X_train[num][:, 0]>0])+X_raw_train[num][0,0])\n",
        "    plt.errorbar(X_raw_train[num][:,0], X_raw_train[num][:,1], yerr=X_raw_train[num][:, 2], fmt='o', color='black', ms=5)\n",
        "    plt.errorbar(365.0*np.cumsum(X_train[num][:, 0][X_train[num][:, 0]>0])+X_raw_train[num][0,0], \n",
        "             decoding_train[num][X_train[num][:, 0]>0]*scales_train[num]+means_train[num], fmt='o', color='orange', ms=7)\n",
        "    plt.ylim(plt.ylim()[::-1])\n",
        "    k += 1\n",
        "#plotting encoded features\n",
        "k=0\n",
        "for num in range(i+fignum,i+2*fignum):\n",
        "    plt.subplot(2, fignum, k+1+fignum)\n",
        "    plt.imshow(encoding_train[num].reshape(4,4), vmin=-2, vmax=2, cmap='viridis_r')\n",
        "    k += 1\n",
        "plt.tight_layout()\n",
        "plt.savefig('/content/drive/MyDrive/CSAGNs/plots_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/ZTF_alerts_modeled_lcs_training_set.png')\n",
        "plt.show()\n",
        "\n",
        "print(\"\"\"Upper panels: Input light curves (black points) and decoded light curves (orange points) \\n\n",
        "Lower panels: Encoded 16 features\"\"\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x288 with 10 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Upper panels: Input light curves (black points) and decoded light curves (orange points) \n",
            "\n",
            "Lower panels: Encoded 16 features\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n6As7cvb8FgK"
      },
      "source": [
        "Plotting modeled light curves and features for the validation set"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Fc_IXqKv8HL5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "outputId": "7e5504c5-f96b-44b3-c3ca-2291daa9ac91"
      },
      "source": [
        "i = 1650 #init num of the plotting data\n",
        "k=0 #initialize the counter\n",
        "fignum = 5\n",
        "plt.figure(figsize=(12, 4))\n",
        "#plotting raw-lightcurves and the decoded lightcurves \n",
        "for num in range(i,i+fignum):\n",
        "    plt.subplot(2, fignum, k+1)\n",
        "    plt.errorbar(X_raw_val[num][:,0], X_raw_val[num][:,1], yerr=X_raw_val[num][:, 2], fmt='o', color='black', ms=5)\n",
        "    plt.errorbar(365.0*np.cumsum(X_val[num][:, 0][X_val[num][:, 0]>0])+X_raw_val[num][0,0], \n",
        "             decoding_val[num][X_val[num][:, 0]>0]*scales_val[num]+means_val[num], fmt='o', color='orange', ms=7)\n",
        "    plt.ylim(plt.ylim()[::-1])\n",
        "    k += 1\n",
        "#plotting encoded features\n",
        "k=0\n",
        "for num in range(i+fignum,i+2*fignum):\n",
        "    plt.subplot(2, fignum, k+1+fignum)\n",
        "    plt.imshow(encoding_val[num].reshape(4,4), vmin=-2, vmax=2, cmap='viridis_r')\n",
        "    k += 1\n",
        "plt.tight_layout()\n",
        "plt.savefig('/content/drive/MyDrive/CSAGNs/plots_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/ZTF_alerts_modeled_lcs_validation_set.png')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x288 with 10 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vmptuYDZCK86"
      },
      "source": [
        "Computing and plotting reduced chi-square distribution of the training and validation sets"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rdAE4qyJCHLs",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8af9fa98-9adc-4740-c8d6-22d971105fb5"
      },
      "source": [
        "def calc_redchisq(x, x_pred, weight):\n",
        "    mask =  (~np.isnan(weight))\n",
        "    out = np.sum(((x[mask]-x_pred[mask])*weight[mask])**2)/len(weight[mask])\n",
        "    return out\n",
        "\n",
        "RedChiSq = []\n",
        "print('Caluculating reduced chi-square for each source')\n",
        "for m in range(0, len(lcs_raw)):\n",
        "    if m%100 == 0:\n",
        "        print('.', end='')\n",
        "    RedChiSq.append(calc_redchisq(lcs_scaled[m][:,1]*scales[m]+means[m], np.squeeze(decoding[m]*scales[m]+means[m]), 1/lcs_raw[m][:,2]))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Caluculating reduced chi-square for each source\n",
            "........................................................................................................................................................................................................................................................"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AmdMzAYSC4Sf"
      },
      "source": [
        "RedChiSq_train = RedChiSq[0:int(0.8*len(lcs))]\n",
        "RedChiSq_val = RedChiSq[int(0.8*len(lcs)):len(lcs)]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WZ9XC6NFhbux",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "75d9a525-157a-477c-c9be-80daa85ec1ff"
      },
      "source": [
        "print(\"training chi2 median, mean: \",np.median(np.array(RedChiSq_train)),np.mean(np.array(RedChiSq_train)))\n",
        "print(\"validation chi2 median, mean: \",np.median(np.array(RedChiSq_val)),np.mean(np.array(RedChiSq_val)))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "training chi2 median, mean:  1.418706066922774 1.6492452127514312\n",
            "validation chi2 median, mean:  1.4220208836994037 1.7044054215950595\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_gB7XinXC-jL",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 369
        },
        "outputId": "01a4bae4-ae34-4b2f-e1b0-14026f6fc510"
      },
      "source": [
        "plt.figure(figsize=(12,5))\n",
        "plt.subplot(1,2,1)\n",
        "plt.hist(np.array(RedChiSq_train)[~np.isnan(RedChiSq_train)], \n",
        "         bins=10**np.arange(-1, 3, 0.1))\n",
        "plt.xscale('log')\n",
        "plt.xlabel(r'$\\chi_{{\\rm red}}^2$', fontsize=15)\n",
        "plt.ylabel('Number of sources', fontsize=15)\n",
        "plt.title('Training dataset', fontsize=15)\n",
        "plt.tight_layout()\n",
        "\n",
        "plt.subplot(1,2,2)\n",
        "plt.hist(np.array(RedChiSq_val)[~np.isnan(RedChiSq_val)], \n",
        "         bins=10**np.arange(-1, 3, 0.1))\n",
        "plt.xscale('log')\n",
        "plt.xlabel(r'$\\chi_{{\\rm red}}^2$', fontsize=15)\n",
        "plt.ylabel('Number of sources', fontsize=15)\n",
        "plt.title('Validation dataset', fontsize=15)\n",
        "plt.tight_layout()\n",
        "\n",
        "plt.savefig('/content/drive/MyDrive/CSAGNs/plots_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/ZTF_alerts_chisquare_distribution.png')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x360 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "80jbm_BmE0MX"
      },
      "source": [
        "\n",
        "# Evaluating the encoded features\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cloB3KoWFIah"
      },
      "source": [
        "Visualizing the distribution of the encoded features by t-SNE"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "O4nV_Yk2E_Qr"
      },
      "source": [
        "X_reduced_train =TSNE(n_components=2, perplexity=100, random_state=32, n_iter=1000).fit_transform(encoding_train)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uK3KrjYpFgva",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3979d5f4-6113-4464-d968-7fd88cf80e8f"
      },
      "source": [
        "import statsmodels.nonparametric.api as smnp\n",
        "from statsmodels.nonparametric.kernel_density import KDEMultivariate\n",
        "import seaborn as sns\n",
        "from matplotlib import gridspec as grs\n",
        "from scipy import stats\n",
        "\n",
        "def kde_contour_dat(x, y, extent = 'Auto', bw_type = \"silverman\", grid_bins = 200, BW=False):\n",
        "    \"\"\"Determine normalized KDE PDF to draw contours\"\"\"\n",
        "    \n",
        "    if isinstance(x, pd.Series):\n",
        "        x = x.values\n",
        "    if isinstance(y, pd.Series):\n",
        "        y = y.values\n",
        "    \n",
        "    if extent == 'Auto':\n",
        "        extent = (x.min(), x.max(), y.min(), y.max())\n",
        "\n",
        "    if bw_type == \"silverman\":\n",
        "        bw = np.array([smnp.bandwidths.bw_silverman(x), smnp.bandwidths.bw_silverman(y)])\n",
        "    elif bw_type == \"scott\":\n",
        "        bw = np.array([smnp.bandwidths.bw_scott(x), smnp.bandwidths.bw_scott(y)])\n",
        "    if BW:\n",
        "        bw = BW\n",
        "\n",
        "    kde = KDEMultivariate([x,y], var_type='cc', bw = bw)\n",
        "\n",
        "    xi, yi = np.mgrid[extent[0]:extent[1]:grid_bins*1j,extent[2]:extent[3]:grid_bins*1j]\n",
        "\n",
        "    kde_prob = kde.pdf(np.vstack([xi.flatten(), yi.flatten()]))\n",
        "\n",
        "    zi = (kde_prob-kde_prob.min())/(kde_prob.max() - kde_prob.min())\n",
        "    zi = zi.reshape(xi.shape)\n",
        "\n",
        "    return xi, yi, zi"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
            "  import pandas.util.testing as tm\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FnsbqZjSFiaa"
      },
      "source": [
        "rx, ry, rz = kde_contour_dat(X_reduced_train[:, 0], X_reduced_train[:, 1], grid_bins=100, BW=[2,2], extent=[-50, 50, -50, 50])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0BXHk1_UFimF",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        },
        "outputId": "c378bfb5-701e-4966-fd1a-e9da116f1d0c"
      },
      "source": [
        "X, Y = X_reduced_train[:, 0], X_reduced_train[:, 1]\n",
        "\n",
        "xlims = [-10, 10]\n",
        "ylims = [-10, 10]\n",
        "\n",
        "origin = 'lower'\n",
        "levels = np.arange(0.1, 1.1, 0.1)\n",
        "cmap = sns.cubehelix_palette(start=0.3,rot=-0.5,light=0.7,dark=0.3,as_cmap=True)\n",
        "\n",
        "gs = grs.GridSpec(2, 2, width_ratios=(4, 1), height_ratios=(1, 4))\n",
        "plt.figure(figsize=(6, 6))\n",
        "ax = [plt.subplot(gs[1, 0]), plt.subplot(gs[1, 1]), plt.subplot(gs[0, 0]), plt.subplot(gs[0,1])]\n",
        "\n",
        "ax[0].grid(alpha=0.5, lw=1, c='grey', linestyle=':') \n",
        "ax[0].tick_params(which=\"both\", top=True, right=True)\n",
        "ax[0].minorticks_on()\n",
        "ax[0].set_axisbelow(True)\n",
        "ax[0].contourf(rx, ry, rz, levels = levels,\n",
        "             origin = origin,\n",
        "             cmap = cmap, alpha = 0.8)\n",
        "ax[0].contour(rx, ry, rz, levels = levels,\n",
        "                    linewidths=(0.5,), origin = origin,\n",
        "                    colors = (\"w\",), alpha = 0.5, zorder = 11)\n",
        "ax[0].scatter(X_reduced_train[:, 0], X_reduced_train[:, 1],s=1)\n",
        "ax[0].set_xlim(xlims); ax[0].set_ylim(ylims)\n",
        "ax[0].tick_params(labelsize = 15)\n",
        "ax[0].set_xlabel('Dim1', fontsize=15)\n",
        "ax[0].set_ylabel('Dim2', fontsize=15)\n",
        "\n",
        "n = (np.linspace(ylims[0]-5, ylims[1]+5,200))\n",
        "kde_X = stats.gaussian_kde(X)\n",
        "kde_Y = stats.gaussian_kde(Y)\n",
        "ax[1].fill_betweenx(n, kde_Y(n), alpha=0.75, color=cmap(0.25), lw=2)\n",
        "ax[1].set_ylim(ylims)\n",
        "ax[1].set_xlim(0, 1.1*np.max(kde_Y(n)))\n",
        "ax[1].set_xlabel('PDF', fontsize=15)\n",
        "ax[1].set_xticklabels( () )\n",
        "ax[1].set_yticklabels( () )\n",
        "ax[1].set_xticks([])\n",
        "ax[1].minorticks_on()\n",
        "\n",
        "n = (np.linspace(xlims[0]-5, xlims[1]+5,200))\n",
        "ax[2].fill(n, kde_X(n), alpha=0.75, color=cmap(0.25), lw=2)\n",
        "ax[2].set_xlim(xlims)\n",
        "ax[2].set_ylim(0, 1.1*np.max(kde_X(n)))\n",
        "ax[2].set_ylabel('PDF', fontsize=15)\n",
        "ax[2].set_xticklabels( () )\n",
        "ax[2].set_yticklabels( () )\n",
        "ax[2].set_yticks([])\n",
        "ax[2].minorticks_on()\n",
        "\n",
        "ax[3].tick_params(labelbottom=\"off\",bottom=\"off\", labeltop='off', top='off')\n",
        "ax[3].tick_params(labelleft=\"off\",left=\"off\", labelright='off', right='off')\n",
        "plt.box(\"off\")\n",
        "plt.tight_layout()\n",
        "\n",
        "plt.savefig('/content/drive/MyDrive/CSAGNs/plots_DR5/VAE_psDR5_SDSS_QSO_balanced_detprop_GRU2x32-encoding16_gband/ZTF_alerts_tSNE_encoded_features.png')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:35: UserWarning: Attempting to set identical left == right == 0 results in singular transformations; automatically expanding.\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:45: UserWarning: Attempting to set identical bottom == top == 0 results in singular transformations; automatically expanding.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x432 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d42okoAB1mGZ"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}